Adaptive Informatics for Intelligent Manufacturing (AI2M)
Lead Research Organisation:
Loughborough University
Department Name: Wolfson Sch of Mech, Elec & Manufac Eng
Abstract
The AI2M research cluster will bring together leading researchers and practitioners in high value manufacturing, information science, ICT, mathematical sciences and manufacturing services to address the needs for future globally competitive ICT-supported manufacturing practices and infrastructures. The cluster also leverages two distinct supply chains, automotive and aerospace and defence with associated ICT and manufacturing service providers.
UK manufacturing has to migrate towards supplying innovative, high quality, variable volume solutions to a global market. Low wage competition and reduced profit margins increase the difficulty of recovering the costs of early lifecycle phases (specification, design, analysis and setup) especially for lower volume products. "Right first time" production is a necessity to survive. In the automotive domain the relatively high volume market is crippled by increased complexity, quality and customer demands for variety. The high added-value, low volume defence and aerospace domains are also under pressure from: the spectrum of product and process complexity; the harsh manufacturing and operational environments and severe safety and legislative requirements. The future of UK manufacturing depends on supply chains being able to: remove defects generated throughout manufacturing; formalise and share product and process knowledge; optimise strategy based on resource utilisation, traceability and lifecycle performance monitoring and understand the implications of design features on manufacturing and operational performance as well as the impact of new materials, components and legislation (e.g. End of Life Vehicle) and the impact of the adoption of new technologies and business models. To pay dividends both in supply chain efficiencies, compliance and new business models, companies must capture and analyse a larger range of data, faster, at lower cost and manage it better than ever before.
The challenge of this project is therefore to develop an on-demand intelligent product lifecycle service system for increased yield for products and processes that can bridge the information gaps associated with inefficient supply chain integration and a lack of knowledge on product usage throughout lifecycles. Current commercial solutions are limited to "on-site" silos of information that are restricting UK manufacturing in terms of its ability to: optimise efficiency in materials, resource, energy utilisation; speed up innovation; improve the generation and exploitation of manufacturing intelligence; support supply chain collaboration throughout the product and process lifecycles, and enable new business models and technologies to be readily adopted (e.g. product service systems (PSS) supporting either product operation, usage or results oriented business models).
The key research challenges to be addressed by this cluster include: Service Foundations (dynamically reconfigurable architectures, data and process integration and sematic enhanced service discovery); Service Composition (composability analyses, dynamic and adaptive processes, quality of service compositions, business driven compositions); Service Management and Monitoring (self: -configuring, -adapting, -healing, -optimising and -protecting and Service Design and Development engineering of business services, versioning and adaptivity, governance across supply chains).
UK manufacturing has to migrate towards supplying innovative, high quality, variable volume solutions to a global market. Low wage competition and reduced profit margins increase the difficulty of recovering the costs of early lifecycle phases (specification, design, analysis and setup) especially for lower volume products. "Right first time" production is a necessity to survive. In the automotive domain the relatively high volume market is crippled by increased complexity, quality and customer demands for variety. The high added-value, low volume defence and aerospace domains are also under pressure from: the spectrum of product and process complexity; the harsh manufacturing and operational environments and severe safety and legislative requirements. The future of UK manufacturing depends on supply chains being able to: remove defects generated throughout manufacturing; formalise and share product and process knowledge; optimise strategy based on resource utilisation, traceability and lifecycle performance monitoring and understand the implications of design features on manufacturing and operational performance as well as the impact of new materials, components and legislation (e.g. End of Life Vehicle) and the impact of the adoption of new technologies and business models. To pay dividends both in supply chain efficiencies, compliance and new business models, companies must capture and analyse a larger range of data, faster, at lower cost and manage it better than ever before.
The challenge of this project is therefore to develop an on-demand intelligent product lifecycle service system for increased yield for products and processes that can bridge the information gaps associated with inefficient supply chain integration and a lack of knowledge on product usage throughout lifecycles. Current commercial solutions are limited to "on-site" silos of information that are restricting UK manufacturing in terms of its ability to: optimise efficiency in materials, resource, energy utilisation; speed up innovation; improve the generation and exploitation of manufacturing intelligence; support supply chain collaboration throughout the product and process lifecycles, and enable new business models and technologies to be readily adopted (e.g. product service systems (PSS) supporting either product operation, usage or results oriented business models).
The key research challenges to be addressed by this cluster include: Service Foundations (dynamically reconfigurable architectures, data and process integration and sematic enhanced service discovery); Service Composition (composability analyses, dynamic and adaptive processes, quality of service compositions, business driven compositions); Service Management and Monitoring (self: -configuring, -adapting, -healing, -optimising and -protecting and Service Design and Development engineering of business services, versioning and adaptivity, governance across supply chains).
Planned Impact
The proposed research will form a new platform of activity in distributed intelligence, integrated within enterprise level operations and also spanning a broad supply chain in key strategic manufacturing environments for the UK. The service-oriented technology offers significant added-value opportunities from the individual optimised processes and further across the whole supply chain, providing a common platform for product quality assurance and optimisation at all the key points in the life cycle. The research will deliver a broad generic capability applicable to industries where product traceability is paramount, such as aerospace, military and healthcare domains, all of which are key to long term UK manufacturing capabilities. The proposed research activity will position the community with new, internationally leading capabilities to offer to UK manufacturing plc.
Specific impacts relevant to each of the collaborating partners include: MTC- reputation and future technology development projects with the consortium members & associated companies; Ford and automotive supply chain (KET) - cost and knowledge leadership in product lifecycle observability in Europe with a manufacturing exemplar in the UK; AEC & Invotec- reduction in product costs, improved sustainability, extended product lives. SAP - new technology and platforms that will revolutionise the Enterprise Resource Planning application that will enable whole-lifecycle monitoring. Commercialisation may be via UK manufacturing third parties, new UK business investment or SME supply chain development and partnerships.
Specific impacts relevant to each of the collaborating partners include: MTC- reputation and future technology development projects with the consortium members & associated companies; Ford and automotive supply chain (KET) - cost and knowledge leadership in product lifecycle observability in Europe with a manufacturing exemplar in the UK; AEC & Invotec- reduction in product costs, improved sustainability, extended product lives. SAP - new technology and platforms that will revolutionise the Enterprise Resource Planning application that will enable whole-lifecycle monitoring. Commercialisation may be via UK manufacturing third parties, new UK business investment or SME supply chain development and partnerships.
Organisations
- Loughborough University (Lead Research Organisation)
- Centre for Process Innovation (CPI) (Collaboration)
- Ford Motor Company (United Kingdom) (Collaboration, Project Partner)
- S2S Limited (Collaboration)
- Digital Engineering and Test Centre (Collaboration)
- Ministry of Defence (Project Partner)
- KET Ltd (Project Partner)
- General Electric (United Kingdom) (Project Partner)
- Invotec Group LTD (Project Partner)
- MTG Research (United Kingdom) (Project Partner)
- Systems, Applications & Products in Data Processing (Germany) (Project Partner)
- S2S Electronics Ltd (Project Partner)
- High Value Manufacturing Catapult (Project Partner)
Publications
Dunnett S
(2018)
Novel methodology for optimising the design, operation and maintenance of a multi-agv system.
in Reliability Engineering and System Safety
Goodall P
(2020)
A cyber physical system for tool condition monitoring using electrical power and a mechanistic model
in Computers in Industry
Goodall P
(2019)
A data-driven simulation to support remanufacturing operations
in Computers in Industry
Goodall P
(2018)
Exploiting embedded intelligence in manufacturing decision support
Gordon D
(2021)
Reliability of bilateral and shear components in a two-legged counter-movement jump
in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology
Hayward S
(2021)
A novel inertial positioning update method, using passive RFID tags, for indoor asset localisation
in CIRP Journal of Manufacturing Science and Technology
Hayward S
(2022)
A holistic approach to health and safety monitoring: Framework and technology perspective
in Internet of Things
Hayward S
(2022)
A Survey of Indoor Location Technologies, Techniques and Applications in Industry
in Internet of Things
| Description | Significant advances have been made in improving the RFID tags performance in harsh environments and the packaging and integration of sensors to enable additional information product performance (e.g. handling, environmental conditions, loading). These next generation of RFID tags have showed significant improvement in performance over and above the best commercially available tags. Collaboration with Invotec and PEL resulted in a successful monitoring circuit capable of being embedded within PCB's. The project achieved targeted TRL 5-6 at Q8 with linked business case and costing evaluation and three industrial onsite demonstrations. The extension of the original scope towards novel observability and traceability solutions supporting PAS 141 in the recycling domain for S2S has been readily accommodated by the generic system architecture implemented for INTELLICO. The project achievements can be summarised as follows: |
| Exploitation Route | In terms of technology implementation we are developing a set of methodologies and processes associated with producing a robust, embedded and highly-functional EI system integrated within high-value printed circuit boards and other products. Considerable intellectual property is being generated during the AIIM project associated with this hardware, software and operating protocols. It is anticipated, that a number of patents will be established by the inventing partners to protect this valuable IP. A exploitation plan will be generated towards the end of the project to take forward the key findings. |
| Sectors | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Electronics,Energy,Transport |
| Description | The adoption of EI systems developed within the AIIM project are having a major positive impact in terms of energy use, waste and sustainability. The end-of-life partners, the S2S group, will benefit from reduced scrap, allowing them to use their resources more efficiently. S2S will be able to recover high value electronic components and PCBs allowing them to be returned to the manufacturing sector - again reducing overall resource consumption. Through-life energy monitoring, a fundamental component of the EI system capability, will allow AIIM end-users (Ford, MTC, S2S, GE) to monitor and manage their energy consumption better. Careful management of operating conditions and servicing schedules will allow circuit board life to be extended in some applications - again, this will reduce primary consumption and waste. Additional applications of EI have been explored to improve personnel safety and security (smart PPE and smart location services) as well as supporting predictive maintenance operations to reduce machine downtime and damage to persons and equipment. |
| First Year Of Impact | 2018 |
| Sector | Construction,Digital/Communication/Information Technologies (including Software),Electronics,Energy,Transport,Other |
| Impact Types | Societal,Economic |
| Description | Embedding PAS141 within electronics remanufacturing processes |
| Geographic Reach | National |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Impact | Enabled the company to support PAS141 via adaptive software traceability systems. |
| URL | http://portal.trakk-it.com |
| Description | Consultancy project about RFID tags |
| Amount | £3,000 (GBP) |
| Organisation | Centre for Process Innovation (CPI) |
| Sector | Private |
| Country | United Kingdom |
| Start | 03/2018 |
| End | 05/2018 |
| Description | End of Life Product Monitoring |
| Amount | £20,000 (GBP) |
| Organisation | S2S Limited |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2017 |
| End | 10/2021 |
| Description | Ford Motor Company Global Innovation Award |
| Amount | $150,000 (USD) |
| Organisation | Ford Motor Company |
| Sector | Private |
| Country | United States |
| Start | 10/2016 |
| End | 10/2020 |
| Description | Loughborough University Enterprise Project |
| Amount | £20,000 (GBP) |
| Organisation | Loughborough University |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 07/2016 |
| End | 01/2017 |
| Description | Optimisation of Manufacturing Processes by Gamification |
| Amount | £60,000 (GBP) |
| Organisation | HSSMI |
| Sector | Private |
| Country | United Kingdom |
| Start | 10/2017 |
| End | 10/2021 |
| Description | Platform Grant |
| Amount | £1,600,000 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2017 |
| End | 04/2022 |
| Description | Re-Imagining Engineering Design: Growing Radical Cyber-Physical-Socio Phenotypes |
| Amount | £7,355,902 (GBP) |
| Funding ID | EP/V007335/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 01/2026 |
| Description | Re-Imagining Engineering Design: Growing Radical Cyber-Physical-Socio Phenotypes |
| Amount | £7,355,902 (GBP) |
| Funding ID | EP/V007335/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 01/2026 |
| Title | Adaptive simulation framework for embedded intelligent remanufacturing. |
| Description | A novel framework to enable discrete event simulation to be integrated with virtual manufacturing models and real time embedded sensors. |
| Type Of Material | Improvements to research infrastructure |
| Provided To Others? | No |
| Impact | Current deployment envisaged within aerospace, automotive, end of life electronics domains. |
| Title | Data analytics software for complex product monitoring via embedded sensor data |
| Description | Reusable toolkit for multimodal sensor analysis. |
| Type Of Material | Improvements to research infrastructure |
| Provided To Others? | No |
| Impact | Open source reusable library used to analyse resources at Ford research centre. |
| Title | Symbolic regression software tool. |
| Description | Genetic programming model generation for industrial data. |
| Type Of Material | Improvements to research infrastructure |
| Provided To Others? | No |
| Impact | Multi-objective, multi-constraints optimisation applied to resource monitoring. |
| Title | Biomechanic and mechanical analysis in cycling domain. |
| Description | Resampling of multi-modal sensor data and integrated knowledge extraction. |
| Type Of Material | Data analysis technique |
| Provided To Others? | No |
| Impact | Reusable open source library. |
| Title | Development of system to collect and send asset and environmental data via GSM to a cloud server for storage in a database |
| Description | Data from an instrumented van collected though a number of wireless sensors for environmental conditions and asset presence, sent via GSM. This data is then collected and stored in a relational database with key value pairs to ensure data is kept correctly linked to relevant customers and can only be accessed by relevant personnel. The model utilises a VPN, password protection and user access restrictions to maintain data security. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | Secure data management and advanced traceability of assets, ensuring data integrity for better asset security during transport. |
| Title | Energy consumption model for end-milling operations on a (Hurco VM1) CNC machine |
| Description | A regression model which was developed using the response surface methodology. The model originated from several sets of end-mill experiments with an 8mm cutting tool run on a Hurco VM1 CNC machine. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2017 |
| Provided To Others? | No |
| Impact | A better understanding of the consumption behaviour of the CNC machine was achieved. The effect of the cutting parameters to the consumption was also studied, before the model could be developed. |
| Title | Model to predict human performances in pedalling activity |
| Description | A model was developed to predict human performance for the cycling activity based solely of physiological characteristics of the rider. This model, based on SVMs, will accept inputs such as sex, hight, weight, experience and fitness level and will attempt to predict power output that the human can generate on a bicycle |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2019 |
| Provided To Others? | No |
| Impact | This model served as a basis to develop a novel controller strategy for a next generation electric bicycle |
| Title | Pedalling Characteristics Database |
| Description | The Pedalling Characteristics Database is the result of a three years of data collection on physiological and mechanical factors in attempt to describe the human interaction with the pedalling activity. The dataset includes a variety of test results ranging from 30 seconds sprints tests to 60 minutes endurance exercises. All the entries include a preliminary questionnaire aimed at assessing how familiar were the participants with the cycling activity and a time series recording of mechanical factors such as force applied to the pedals and torque generated during the activity, moreover the database includes metrics to assess physical exertion. The ethics committee of Loughborough University approved the procedure used to record, collect and store the participants' personal informations included in this database. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2018 |
| Provided To Others? | No |
| Impact | This database had a crucial impact on the part of this study covering human-machine interaction. It served as the basis for any models developed to predict human capabilities and it also served to develop novel controller strategies for new generation electric bicycles. |
| Title | RTI Portal Data Model |
| Description | A collection of data models and algorithms to provide web services for traceability of Returnable Transit Items (RTI) using RFID portals. The data models and algorithms provide the following functionality; *analyse raw RFID data captured by an RFID portal system to identify false positive and false negative readings *determine last location of RTI *determine number of cycles *determine last time since wash |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | Part of a system to allow remote traceability for RTI's |
| Title | Trakk-it data analysis |
| Description | Data analysis techniques (using MySQL and PhP) to derive information and knowledge from RFID traceability system database for a WEEE refurbishment business, developed within the research group. |
| Type Of Material | Data analysis technique |
| Provided To Others? | No |
| Impact | Enables greater data insights regarding the businesses behaviour and trends from the traceability database which are useful to the business owners and the research team for guiding future research effort. |
| Title | WEEE discrete event simulation model |
| Description | A discrete event simulation model for a WEEE refurbishment facility. |
| Type Of Material | Computer model/algorithm |
| Provided To Others? | No |
| Impact | The simulation model is to be used as part of a data analysis service to enable real time simulation of a process to assist decision making |
| Description | Carbon ink RFID tags for tracking of meat products through supply chain |
| Organisation | Centre for Process Innovation (CPI) |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Simulated and tested Carbon ink RFID tags in the presence of meat. Results of testing was used for suggestions on improvements for the RFID tags. |
| Collaborator Contribution | Manufactured the Carbon ink RFID tags. |
| Impact | Carbon ink RFID tags have been read when attached to the packaging of meat products. Suggestions for improvements of the RFID tags have been made. |
| Start Year | 2018 |
| Description | Ford collaboration |
| Organisation | Ford Motor Company |
| Department | Ford UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Conducting research and physical and digital testing for predictive maintenance and digital twin research activities (two PhD students and student projects), formulating models, testing protocol, evaluating readiness and status of industry, reporting and analysis of results and dissemination internally within appropriate team members and collaborating partners. |
| Collaborator Contribution | Part funding for PhD studentships, access to data and equipment as well as expertise and industrial input for requirements and testing. |
| Impact | Development of a digital twin framework (ongoing) Test rig development and testing, predictive twin models and data creation / analysis tool kits in development. Multidisciplinary across mechanical engineering and physics researchers. |
| Start Year | 2019 |
| Description | S2S Electronics on-site testing of RFID Enabled Van Service |
| Organisation | S2S Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Discussion over and trial of the development of an intelligent, RFID enabled van service with accompanying web service for the increased security and visibility of assets in transport. Further development of a prototype system with design improvements and changes to increase the robustness and reliability of a solution. Development of a web service, database solution and physical implementation of an RFID enabled van service, tested in real-world conditions. |
| Collaborator Contribution | Discussion of future work and input of company protocols currently in place to secure assets in transport. Supply of transport with built in power supply and sign off for real-world system and application testing. Development of end user requirements and industrial constrains to be imposed on the system. |
| Impact | This collaboration is multi-diciplinary |
| Start Year | 2018 |
| Description | Strategic Board Member for Digital Engineering and Test Centre |
| Organisation | Digital Engineering and Test Centre |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Advice on strategic direction for multi-partner research in digital engineering. |
| Collaborator Contribution | Undertaking of research projects in digital engineering. |
| Impact | PhD students and APC grant submissions. |
| Start Year | 2015 |
| Description | Transfer of data with product |
| Organisation | Ford Motor Company |
| Country | United States |
| Sector | Private |
| PI Contribution | The innovative element of this result is that the data; process history, batch numbers, materials dates etc. is retained and added to through the value chain and is readily available at each step. |
| Collaborator Contribution | access to facilities, data and warehouse. |
| Impact | tracking system in Ford for engine components |
| Start Year | 2012 |
| Title | A reconfigurable web-of-things enabled energy monitoring dashboard |
| Description | Reconfigurable web dashboard to visualise real-time collected power and energy data, built on top of a variety of frameworks (AngularJS, Node-RED, MediaWiki). The web-app uses web bluetooth to identify nearby active machines that incorporate a compatible energy monitor. It also includes a user-editable wiki which contains information related to the machines used and can connect to the smarTI kit to collect more sensor data. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2016 |
| Impact | To be determined after the web-app has been tested with end-users and configured according to their needs. |
| Title | Adaptive remanufacturing discrete event simulation software |
| Description | Adaptive middleware to link to commercial discrete event simulation with open source virtual manufacturing products. |
| Type Of Technology | Software |
| Year Produced | 2017 |
| Impact | To be determined via deployment within automotive, aerospace and electronics end of life manufacturing domains. |
| Title | Bicycle energy expenditure |
| Description | This software accepts a GPS path, details of a bicycle, details of a rider and weather conditions to attempt to predict power expenditure for the overall route. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Impact | This software has been used to validate novel controller strategies for next generation electric bicycles. |
| Title | Countermovement jump parameter extraction |
| Description | Matlab code that extracts key parameters from countermovement jumps performed by athletes. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | Speed and accuracy of parameter extraction allowing analysis of results to be done post collection. The software was then used to update software to provide more accurate real-time feedback. |
| Title | Data analytics toolkit for cycling ergometer data |
| Description | The software allows data processing, analysis and presentation of cycling ergometer data. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | Processing of ergometer data is now automated process. Several presentation options are available to the user. Reusable functionality has been identified and a larger sport sensor data analysis toolkit is being developed. |
| Title | Decision Support Semantic Toolset for Remanufacturing |
| Description | An RDF/OWL ontology defining service inputs, outputs, requirements and relationships of each component of a remanufacturing environment, including the reasoning of value versus cost of remanufacture combined with SPARQL server to query and reason output. |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Impact | An RDF representation of linked data can be stored on the web, validated, rapidly reasoned and accessed remotely through the use of the SPARQL query and update languages. |
| Title | Digital CNC machine with GUI |
| Description | A digital CNC machine software was developed. The application consists of a GUI for ease of use by the end-user. It allows opening and parsing of a G-Code file (.nc) and sequential execution of the numerical control instructions. The cutting operations are visualised and the real-time energy consumption is displayed on a plot. |
| Type Of Technology | Software |
| Year Produced | 2018 |
| Impact | A good understanding of the features and the limitations of the attempt to model the energy consumption behaviour of a CNC machine was achieved. Further work needed to identify and model more cutting operations or different tool and machine combinations. |
| Title | EIIS Track |
| Description | EIIS Track is a secure web portal for the unified presentation of traceability data recorded from RFID portals It is made up of: Angular JS User Interface Backend web services for data collation, filtering and saving to databases Database software for persistent data storage. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2015 |
| Impact | The EIIS Track portal is key for the dissemination of data collected by RFID portals located on the shopfloor. It's filtering services have the ability to determine the state of the shopfloor based upon current and previous portal data entry. |
| Title | Electronics Recycling - Web Application |
| Description | Cyber-Physical System controlling the processing activities of Used Electrical and Electronic Equipment for resale. This software is a web application built using the AngularJS framework, linking to custom and 3rd party web services to meet the functional requirements of the stakeholder. The application provides interfaces to guide operators through the processing stages as well as reports and data analysis for managerial users. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2015 |
| Impact | Research into implementations of CPS at End of Life Electronics Research into the methodology and architecture for CPS Research into how Industrie 4.0 can be extended to the end of life (not just for manufacturing) Novel, adaptable, route decision service |
| Title | Energy Monitoring Communication Module |
| Description | Accepts energy monitoring data sent over an SPI bus for TCP/IP transmission over the internet to dedicated remote servers offering analytical web services and web interfaces. Accepts parameters from local gateways for remote reconfiguration, over SPI, of energy monitoring devices. |
| Type Of Technology | Software |
| Year Produced | 2014 |
| Impact | Enables data which could ordinarily only be locally and instantaneously monitored on an LCD display to be transmitted over the Internet for real-time processing by analytical services and real-time monitoring via web interfaces. Supports remote reconfiguration of device firmware parameters, which otherwise could only be modified by firmware update, entailing physical access to the energy monitor. |
| Title | Energy Monitoring Communications Gateway, Server Side Application and Reconfiguration Interface |
| Description | Software to route energy monitor output via a dedicated server to a MySQL database and to offer a remote reconfiguration interface to LAN users allowing over-the-air reconfiguration of energy monitoring parameters. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | Information that would only be available on an instantaneous basis is securely and reliably forwarded, stored and accessed. Parameters, such as communications rate, current and voltage gain and current wiring configuration, that could only be changed by modification of energy monitor firmware and re-installation of these devices can now be performed remotely while machines are running. |
| Title | Energy Monitoring Web Interface |
| Description | Web interface to visualise process energy monitoring data for individual machines at multiple sites, developed on the basis of end-user requirements. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2015 |
| Impact | The web interface provides correctly scaled visualisation of the data in real-time, offering the ability to monitor energy consumption as the machine is running. |
| Title | Energy Prediction and Usage Optimisation Toolset |
| Description | A web-based Internet of Things Cyber-Physical Toolset consisting of a prediction model, tuned with measured process energy consumption to predict future machine level and plant level energy use, and an optimisation model. The latter uses a custom model and web service to propose process scheduling methods to bound total plant consumption within thresholds set according to pre-agreed billing limits and maximum use limits. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | Supports optimal process scheduling to reduce total plant consumption and energy, reduce waste and avoid excess usage charges. Enables reduction in the amount of data which must be captured, stored and forwarded in order to monitor the energy consumption of a high power machine. |
| Title | Energy monitoring algorithm |
| Description | Algorithm developed as part of PhD research using hidden Markov models to predict energy signatures from G-Code and detection of potential defects caused by worn tools using energy signatures non-invasive energy monitoring |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Impact | The research has generated one published journal paper with subsequent further 2 papers in development. |
| Title | Hidden Markov model based detection of manufacturing process signatures. |
| Description | Tool to detect robustly cyclical behaviour within manufacturing processes. |
| Type Of Technology | Software |
| Year Produced | 2017 |
| Impact | To be determined. |
| Title | Indoor Asset Tracking Ontology |
| Description | A reasoned RDF/OWL ontology defining service inputs, outputs, requirements and relationships of each component of the architecture and the middleware for annotated abstraction of cross-layer parameters. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | An RDF representation of linked data can be stored on the web, validated, rapidly reasoned and accessed remotely through the use of the SPARQL query and update languages. |
| Title | Indoor Asset Tracking Supertag |
| Description | Software and algorithm to perform accurate indoor ranging, with measurements taken at the physical layer and corrected according to covariance, followed by trilateration of ranging data from three or more anchor devices to provide a localisation estimate for the unknown node. |
| Type Of Technology | Software |
| Year Produced | 2014 |
| Impact | Reduced infrastructure impact and cost of equipment through the use of sensor nodes to range and trilaterate location, in comparison to approaches using RFID tags (distributed tags and readers robustly supported and maintained throughout the environment); WiFi and Ultra Wide Band (requires complex and costly infrastructure of cables and nodes). |
| Title | Inertial Measurement Unit Location System |
| Description | The program enables data collection from multiple IMU units simultaneously via an MQTT broker, extracts their ground component and estimates a dead reckoning location. The unit also updates this location based on RFID tag information at gateways in known locations. This process is all conducted in real time and can be accessed anywhere through use of a VPN. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2021 |
| Impact | The program can be used as a basis for inertial indoor location services, however at current is in a prototype stage. The program needs formalising and stress testing with a larger number of IMU units. |
| Title | PLC RFID API |
| Description | The PLC RFID API is a function block for Siemens S7 range of PLCs that provides connectivity and a control API for an Alien Technology RFID reader. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | By developing a PLC based API, RFID readers can be integrated with existing machines and manufacturing systems that utilise Siemens PLCs for control. Thus, reducing the impact for IT infrastructure and cost of implementing RFID technology within manufacturing. |
| Title | PPE ontology |
| Description | An RDF/OWL ontology defining service inputs, outputs, requirements and relationships of the relationship between Health and Safety and PPE |
| Type Of Technology | Software |
| Year Produced | 2019 |
| Impact | An RDF representation of linked data can be stored on the web, validated, rapidly reasoned and accessed remotely through the use of the SPARQL query and update languages. |
| Title | Personalised Logo RFID Tag :On/Off Metal Mountable |
| Description | Design of an efficient EIIS logo RFID tag with a novel substrate and printing ink. The tag performs efficiently on various automotive assets such as engine part separators (off-metal) and stillages (on-metal) used in engine assembly plants, and through the supply chain. The proposed tag can be read efficiently up to a distance of 8m from the reader antenna. |
| Type Of Technology | New/Improved Technique/Technology |
| Year Produced | 2014 |
| Impact | A novel personalised logo RFID tag on/off metal mountable which can perform efficiently in radio-interfering harsh manufacturing environment. |
| Title | RFID Enabled Transport System User Interface - Web Application |
| Description | User interface for real time and historical data relating to product location and transport status for increased visibility of products in transit. Interacts with an RFID enabled asset traceability solution installed in a van. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2020 |
| Impact | There is increased customer interest in a future service however the system is currently still in prototype phase so there is no quantifiable impact. |
| Title | RFID RangeFinder |
| Description | RangeFinder is a software test suite designed to connect and control RFID readers for the purpose of range testing and/or RFID performance measurement. It currently connects to RFID readers provided by Alien technology, Feig, Thingmagic and Intelliflex. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | Without this software the capturing of RFID performance data from RFID readers was slow and cumbersome. RangeFinder has allowed experiments to be carried out at a much faster pace and with a unified interface. |
| Title | Real-time Countermovement jump parameter extraction |
| Description | Calculates parameters determined from force profiles of athlete's countermovement jumps in real time. Written in C#.net the software is used to monitor elite athlete performance in a gym based setting. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | Gives coaches and athletes a more robust tool for monitoring their performance in real time, as well as having the functionality to look back on previous efforts. |
| Title | Real-time squat analysis |
| Description | Calculates parameters from single or multiple squats performed on a forceplate. Providing real-time feedback on performance. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | Ability to monitor and store results from elite athletes using the system to monitor their performance and provide coaches with information to assist them make training program decisions. |
| Title | Resource routing within manufacturing supply chain. |
| Description | Multi-objective, multiple constraint optimisation applied to resource routing within manufacturing supply chain. |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Impact | To be determined. |
| Title | Toolkit for design of experiments (DOE) and automatic process modelling and optimisation for a CNC machine. |
| Description | This toolkit can be used to design a set of experiments to run on a CNC machine. The energy consumption data can then be collected and fed back to the software, in order to automatically generate and optimise a second-order polynomial model of the characterised process. The toolkit makes use of Hidden Markov Models and Response Surface Methodology principles and was developed in Matlab. |
| Type Of Technology | Software |
| Year Produced | 2017 |
| Impact | To be determined. |
| Title | Web application promotion |
| Description | Team member promotion/outreach website for research portfolio and team skills/links. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2017 |
| Impact | Collaborative potential with international partners, interest from Ford representative and Colombian institutes by increasing the team's ability to share overview of our research and capabilities. |
| URL | http://eiis.co.uk/ |
| Title | smaRTI |
| Description | smaRTI is a novel approach for applying RFID technology to the manufacturing domain by developing an intelligent container. An intelligent container has the ability to be self aware and aware of items/products that it is responsible for. smaRTI is a hardware and software mix that consists of an embedded RFID reader module, environmental sensors( accelerometer, magnetometer, gyroscope, temperature and humidity), Wi-Fi communication and processor. |
| Type Of Technology | Physical Model/Kit |
| Year Produced | 2016 |
| Impact | smaRTI provides a platform for research into developing supporting services and applications for intelligent containers. |
| Title | smaRTI Software Services |
| Description | A set of software services that wrap the smaRTI device to provide realtime data capture, visualisation and analytics. This includes the supporting software architecture, such as MQTT, Websockets and Node-Red. |
| Type Of Technology | Webtool/Application |
| Year Produced | 2016 |
| Impact | - Supports the development of Cyber-Physical Returnable Transit Items, for improved logistical process monitoring and control. |
| Company Name | Trakk-It |
| Description | End of life manufacturing traceability systems supplier. |
| Year Established | 2015 |
| Impact | End of life manufacturing traceability systems. |
| Description | 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I presented a paper and moderated a session (Traffic modelling and control). |
| Year(s) Of Engagement Activity | 2020 |
| URL | https://forumists2020.dryfta.com |
| Description | About Us - The EPSRC Centre for Doctoral Training in Embedded Intelligence (CDT-EI) |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | The video promotes the Centre for Doctoral Training in Embedded Intelligence (CDT-EI) activities. Three PhD students and a centre co-director share their experiences as part of both the CDT and Loughborough University, as well as the public impact of their research. The aim is to attract candidates to apply and promote the benefits of the interdisciplinary research which takes place in a CDT. |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://www.youtube.com/watch?v=6zuDgAqUG28 |
| Description | Chartered institute of ergonomics & human factors: Human Factors in Manufacturing workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | the event marked the launch of a new CIEHF Manufacturing Sector Group to bring together human factors practitioners with other interested parties such as industrial engineers, designers and managers, attended as a delegate and new member of CIEHF to create new links and understanding of the issues in manufacturing and human factors for the future development of industry in the UK. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Criminal Justice Meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Advising police on optimised strategies for localised response. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Digital Manufacturing Standards - The Way Forward? |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop organised by British Standards Institute (BSI) to discuss areas for future standards on Digital Manufacturing, held at the Manufacturing Technology Centre (MTC). |
| Year(s) Of Engagement Activity | 2017 |
| Description | Digital for industry strategic advisory group |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Defining the strategy for next generation digital research in industry for UK government. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Discussing with Toyota employees the project "Throughput Simulation Digital Twin" |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Industry/Business |
| Results and Impact | We are meeting with our industry partners to discuss our project. |
| Year(s) Of Engagement Activity | 2021,2022 |
| Description | Enhanced condition monitoring of the machining process using wavelet packet transform - Presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Attended the European Safety and Reliability Conference (ESREL) 2018, Trondheim, Norway, 17-21 June 2018 and presented a paper titled 'Enhanced condition monitoring of the machining process using wavelet packet transform'. Attendees were a mix of academic and industry. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Eye tracking workshops |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Undergraduate students |
| Results and Impact | Assisting with the Design School sessions supporting the use of eye tracking for undergraduate students completing their masters projects. 5 groups of 3 students attended the sessions between 2017 and 2018 |
| Year(s) Of Engagement Activity | 2018 |
| Description | Featured on SME online magazine |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Our publication in Computers In Industry was featured by an online magazine informing SMEs moving toward adoption of industry 4.0 technologies. This increases the visibility of the research and provided a link to the article on the magazine, raising awareness of the University research and our research group output within the SME community. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://industry40sme.com/augmented-reality-capabilities-for-industry-4-0/ |
| Description | Ford Smart Mobility Innovation Office Visit |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | During this presentation the research outlines and initial results were presented to the company representatives. The company reported interest in the subjects and expressed intention for future collaborations |
| Year(s) Of Engagement Activity | 2019 |
| Description | Ford visit to Loughborough University |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Ford's strategic management visited Loughborough University to discuss collaboration research in autonomous vehicles. Members of the EIIS research group presented work and attended follow on meetings. |
| Year(s) Of Engagement Activity | 2017 |
| Description | GLOBAL MANUFACTURING INNOVATION: MANUFACTURING INNOVATION SHOWCASE (Jaguar Land Rover) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | 36 organisations were invited by Jaguar Land Rover (JLR) to the British Motor Museum to showcase their vision of future manufacturing and demonstrate technology collaboration. This gave the opportunity to showcase our research and network with JLR staff and other organisations in attendance. |
| Year(s) Of Engagement Activity | 2017 |
| Description | IESA conference and workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The IESA conference is being attended by MS, PG, RW, HC. MS is presenting a conference paper, PG is presenting a workshop introduction. All are running a workshop regarding digital twins that will be attended by special interest parties at the conference. The conference may host over 500 people and the workshop may be up to 50. This is a fantastic networking and ideation opportunity to engage across academia and industry and nations. |
| Year(s) Of Engagement Activity | 2022 |
| Description | INTEROP-VLab General assembly meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | INTEROP-VLab is an international group of academics and professional practitioners with the collective aim to develop networked research with critical mass in the Enterprise Interoperability (EI) and associated domains. The general meeting was held in Brussels where group members and external parties presented current work and offered networking opportunities to form collaborations for EU funded project proposals. |
| Year(s) Of Engagement Activity | 2019 |
| Description | IOF Workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Academics from around the world attending a workshop on a newly formed group titled Industrial Ontologies Foundary (IOF) at NIST in the USA. Research from Loughborough University was presented with regards to the use and need of ontologies within systems being developed for the End Of Life domain. LU will be represented again at the IOF in 2018 |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://sites.google.com/view/industrialontologies/ |
| Description | IOF Workshop 2018 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Academics from around the world attending a workshop to meet as part of the group titled Industrial Ontologies Foundary (IOF) in Washington DC in the USA. Research from Loughborough University was presented with regards to the use and need of ontologies within systems being developed for the End Of Life domain. |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://sites.google.com/view/industrialontologies/ |
| Description | Industrial Ontology Foundry (IOF) workshop |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The Industrial Ontology Foundry (IOF) workshop was a two-day event held in Gaithersburg, USA, to present, discuss with and update members of the IOF with current research activities and discuss future work direction. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Industry 4.0 in electronics manufacture |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Professor Andy West presented a Keynote address entitled "Industry 4.0 in electronics manufacture" to the Institute of Circuit Technology Annual Symposium, National Motor Museum, Beaulieu. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited speaker at 2017 Data Analytics Forum in Bogota - Colombia |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Collaboration opportunities between universities were discussed. Collaboration with an emerging data analytics company in Colombia was discussed. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Invited speaker for the Centre for Data Science at Loughborough University. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | Presentation of data science application in the domains involved in my research. Discussion with data science experts followed the presentation. Collaboration with the CDS staff and infrastructure was also discussed. |
| Year(s) Of Engagement Activity | 2016 |
| Description | Invited speaker to Loughborough University Centre For Doctoral Training (CDT). |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | The purpose of the talk was to present the current work I am involved in to PhD students. Discussion on the topics was held during the session. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Lab demos and poster displays supporting engagement with general public, research and industrial visitors to Loughborough University |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | The visibility of the work conducted by the research group as part of the AI2M project has been highlighted and demonstrated through a recent update to the laboratory including development of demonstrations and posters to communicate information to all visitors to the university who are taken on tours through the Wolfson school. The posters highlight the variety of work conducted and enable engagement with the group through increased visibility. This should increase engagement with any visitors to the university in the potential for research activity, demonstrate outputs and show active research in the areas of Industry 4, Industry 5, indoor location based services, people centric industry and digital twin development. |
| Year(s) Of Engagement Activity | 2020,2021,2022 |
| Description | Machine Learning Tools and Techniques to enable Embedded Intelligence and Industry 4.0 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Other audiences |
| Results and Impact | A presentation, and a follow up discussion was hold in Loughborough University on the topic of machine learning techniques and tools to aid embedded intelligence and Industry 4.0. The presentation covered data analysis process in a typical manufacturing environment, an overview of common techniques used for regression and classification problems and a review of common errors and misunderstandings around the use of mathematical models to predict and group data. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Meeting industrial collaborators re predictive maintenance and digital twin projects (Ford and Toyota) (ongoing) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Discussions with industrial collaborators regarding ongoing project work and requirements for digital twins and predictive maintenance. Involves regular virtual meetings and on site visits with collaborators. Discussions involve various members of the research group depending on the expertise and skills required and involve dissemination of results, elicitation of requirements and development of network / connections with industrialists. |
| Year(s) Of Engagement Activity | 2021,2022 |
| Description | Meeting with to S2S - Cloud computing to aid end-of-life electronics |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Industry/Business |
| Results and Impact | A meeting was held in Loughborough University with the directors of S2S Group to discuss cloud computing solutions to support asset tracking for end-of-life electronics. |
| Year(s) Of Engagement Activity | 2019 |
| Description | NIST Ontology Foundation Meeting |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Developing reference ontologies for next generation manufacturing systems. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Observation of last mile delivery with Gnewt and Ford |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Observation and collaboration with a last mile delivery courier working in central London using pedestrian porters. Observations included current operations for package sorting and delivery methods to identify issues and areas for potential optimisation. The results were utilised in a digital model of delivery for central London and contribute towards the development of a last mile support tool. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presenation at the RSA: The Great Recovery, Tracking and Tracing Workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Presentation of research within the recycling and refurbishment of end of life IT assets. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.greatrecovery.org.uk/ |
| Description | Presentation and meeting at Ford Mobility as a Service |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Attended meeting to discuss potential collaboration opportunities with Ford Mobility as a Service (MaaS) at the Millennium park site, presentation of completed work assessing navigation aids to support last mile couriers including vulnerable pedestrian and cyclists. The work was presented to a team of Ford MaaS employees as part of a research team meeting and has promoted further work with the business to explore potential improvements to their existing processes and support of their couriers. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Presentation to Nanjing University |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Bob Young gave a presentations on his areas of research including ontologies to the College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Project Meeting with Ford - Predictive Maintenance |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | Several meetings were had with both Ford and Liebherr discussing progress made and further steps from all parties with reference to the predictive maintenance project. |
| Year(s) Of Engagement Activity | 2019,2020 |
| Description | Prototyping at Sponsoring Company |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Site Visit testing System |
| Year(s) Of Engagement Activity | 2019 |
| Description | SMR University Research Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Workshop to discuss potential academic collaboration with Rolls Royce in their small modular reactor programme, including networking with other academic collaborators and providing initial response to challenges posed by Rolls Royce. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Site visit (London) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | Visit with industrial partner to a London banking group to demonstrate augmented reality training tool for repair of end of life electronics with instruction provided hands free via the HoloLens. The banking group planned to implement a similar end user focussed training approach within their in-house training scheme. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Site visit with industrial partner (Rotherham) |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Visited with the industrial partner to assess their business processes for IT waste goods to identify areas for improvement and support through novel HMI/HCI approaches. |
| Year(s) Of Engagement Activity | 2018 |
| Description | TRB 102rd Annual Meeting in Washington, DC |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Conference presentation: The Transportation Research Board (TRB) Annual Meeting is the largest global gathering of transportation professionals and researchers. It is a one of a kind opportunity for networking. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Talk on digital twins |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Dr Norman Swindells presented to the research group as part of an IMechE network event with the international standards organisation that was arranged by Hazel Carlin (PhD researcher). 10 people attended to hear a presentation on Digital Twins and STEP and discuss applications within the research group and associated collaborations. |
| Year(s) Of Engagement Activity | 2020 |
| Description | Testing Participants at Ford Smart Mobility related to ebike and cycling performance |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Promoting ebike study at hereEast for the purpose of characterising human cyclists for a smart eBike controller, contributions included promotion of the event, testing participants and dissemination of results via data profiling for each participant. Contributions from this project will be utilised in the development of the smart mobility support tool. |
| Year(s) Of Engagement Activity | 2019 |
| Description | The future of smart and connected packaging event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Multiple business and industry partners from different areas attended a workshop to discuss the problems at the moment and how to tackle them in the future. A group has been set up to organise future activities to see how the outcomes move forward. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Visit to Sponsoring Company for Testing |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Visit to Company to test system. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Visit to present plan of action and initial solution for improving asset traceability in transport |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Industry/Business |
| Results and Impact | Met with an industrial sponsor and an SME to present a system design and plan for prototype system for an improved traceability system for instrumented transport solution. The system was designed to meet the customer specifications and the draft was developed do meet both academic and industrial requirements. |
| Year(s) Of Engagement Activity | 2019 |
| Description | [I-VLab] I-ESA 2018 Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Workshop to discuss the potential benefits and issues faced by the humans in the digital manufacturing loops, with a specific focus of the workshop on interoperability challenges. |
| Year(s) Of Engagement Activity | 2018 |
| Description | international Ontology Foundry (IOF) Workshop at DNV GL. Oslo |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Feb 4-7, 2019: Contribution to "the international ontology foundry (IOF)" workshop at DNV GL, Oslo |
| Year(s) Of Engagement Activity | 2018 |
| Description | meetings with Ford to discuss future work |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Industry/Business |
| Results and Impact | Meetings and workshop with representatives at Ford motor company to discuss future development of existing research within the AIIM team to support improved customer experience and agile business response. |
| Year(s) Of Engagement Activity | 2020,2021 |