Integrating Conversational AI and Augmented Reality with BIM for faster and collaborative on-site Construction Assemblage (Conversational-BIM)

Lead Research Organisation: University of the West of England
Department Name: Faculty of Business and Law

Abstract

The traditional approach to construction is notorious for poor productivity and inadequate contribution to economic development (ONS, 2017). With the aim of boosting productivity, the construction sector must transform its methods of construction and adopt effective digital technologies (TIP, 2017). The adoption of BIM has transformed the way buildings are designed and enhanced the implementation of building manufacturing technologies such as Design for Manufacturing and Assembly (DFMA). However, the adoption of BIM by onsite frontline workers for assembly of manufactured building components is non-existent. This results in loss of the productivity gain from using BIM for design and manufacturing phases of the process (BCI, 2016). Onsite frontline workers spend more time interfacing with BIM tools than they spend on completing the actual assembly tasks. Current BIM interfaces are not practicable for onsite operations because they are too slow, hazardous and distracting for onsite frontline workers (Construction News, 2017). On this basis, the research will introduce advanced Natural Language Processing (NLP) and Conversational Artificial-Intelligence for enabling onsite frontline workers to verbally communicate with BIM systems.

Assembly operations are complex and are often complicated by the uniqueness of each project, the inconsistency of assembly methods, and the diversity and alterations of project team. During onsite assembly operations, onsite frontline workers are required to quickly understand the procedure of installing building components to minimise assembly errors and reduce the overall project duration. The time spent by frontline workers can be reduced by 50% with the introduction of hands-free assembly support BIM system that utilises verbal communication. In addition to boosting productivity, it will further enhance error-free assembly operation through step-by-by assembly guide for pre-manufactured/pre-assembled building components.

The development of technologies to aid easy adoption of BIM for onsite assembly has great potential to revolutionise the current approach to construction. However, apart from the slow pace and hazardous nature of current BIM interfaces, other limitations include visual obstruction, distraction and the associated health and safety challenge for frontline workers.

This project aims to utilise Augmented Reality (AR) for providing visual support to access BIM systems and installation guides without obstructing or distracting the view of onsite workers. This will provide accurate and just-in-time information for online frontline workers to gradually follow the installation guide of manufactured building components. For example, an onsite assembly worker can merely ask, "hey Conversational-BIM, guide me through toilet installation" and the system will facilitate the assembly procedures through AR-assisted verbal instructions, the AR device will overlay the exact illustration of the assembly steps on the actual components onsite.

It is important to note that onsite coordination between resources is vital for boosting productivity and guaranteeing faster and safer assembly (ICE, 2018). This project will therefore exploit advanced AI, computer visions, and AR technologies to develop an end-to-end BIM solution to support onsite assembly operations. In addition to boosting the productivity of frontline assembly workers, this project seeks to eliminate the tedious process of coordinating onsite activities which often involve multiple workers and machinery. Accordingly, the AR-assisted Conversational-BIM system will ensure a coordinated approach for remote experts to guide frontline workers and monitor project progress and productivity.

Planned Impact

Appropriateness of project partners in the context of the Transforming Construction challenge:
The BDAL team under the leadership of the PI has worked on a number of collaborative and applied research projects with large enterprises (Balfour Beatty, Costain, Schneider Electric, Airbus and Rolls Royce), and various SMEs (Waste Plan Solutions, Sustainable Directions Limited, MobiBiz, TerOpta, etc.). The consortium is therefore well positioned and appropriate to ensure that the Transforming Construction challenge's aim of revolutionising the construction sector is achieved. The industrial partners have shown a high level of commitment to the realisation of the aim and objectives of this proposal through the provision of a real-life environment for testing and deployment of the proposed solution. They have also promised to organise necessary stakeholders workshops for proof of concept demonstrations to the industry players and regulatory bodies.

Plans to manage and expand the range of stakeholders engaged throughout the award:
The targeted end user and stakeholders of the proposed solutions include: Contractors and their supply chain, Engineers, Architects, Private Sector Clients, and the Academic Community. The team will adopt the following approach among others, to reach out and manage these stakeholders
1.Demonstration projects: Demonstration projects for building assemblage would be selected as case studies in organised workshops. These demonstration projects will be used to showcase the novelty of the exploitable outputs.
2. Public Project Website: A website for the project will be developed to serve as the dissemination vehicle and interface with the public seeking information about the project and its areas of activities.
3. Leaflets and Newsletter: There will be a quarterly release of leaflets and newsletters describing the project's solution development progress.
4. Participation in Target Events: The project team would target major events within the construction industry particularly those organised by UKCG, ICE, CIOB, RISC, RIBA among others. The findings of this project would be discussed during these events.
5. Integrated Workshops and Demo Sessions: Acknowledging the potential ability of innovative technologies to disrupt the construction industry, integrated workshops would be organised that will involve main contractors and their supply chains, logistics/support companies and clients.

Plans for maximising economic, academic and societal impact:
Intellectual Property Right (IPR) and a Non-Disclosure Agreement (NDA) will be signed with industry partners and the proposed solution will be offered to the market as a service. This will be achieved through the setting up of Conversational-BIM-as-a-Service Platform. The end-users commercial licence agreements will be established for national and global roll-out.
The results of findings from this research project will be presented regularly at academic conferences, Special Interest Group (SIG) meetings and published in journals. The presentation and publishing of these results will enable the academic community to benefit maximally from this project.

At the Societal level, the proposed research project will contribute to the UK leadership in the Global Construction market. It will also provide an opportunity to increase the export capabilities of the UK through the sale of the product to other construction firms in the EU, US, Australia and Asian markets. It will also open up new opportunities for commercialisation and standardisation of building components and enhance sustainable adoption of cutting-edge digital technologies for onsite assemblage.

How policy, standards or regulatory barriers will be addressed:
A Product approval/Exploitation Manager will be appointed to ensure that standards and regulatory requirements are met while developing the solution. The manager will also drive the full exploitation of the solution at the roll-out stage.

Publications

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Ajayi A (2020) Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects. in Risk analysis : an official publication of the Society for Risk Analysis

 
Description Key finding and outcomes so far:
1. Conversation AI and the Construction Industry
Several studies have established that the construction industry is slow to adopt relevant productivity-boosting technologies (PBTs) due to unnatural and inconvenient interfaces.
In the same way, Conversational AI has not been explored much in the construction industry despite its numerous applicability. Due to the rising adoption of conversational AI in other industries, and the need for the construction industry to be at the forefront of implementing productivity-boosting digital technologies, it becomes important for the industry to look into the use of conversational AI.

2. Cloud Platform for Voice Interaction with BIM
The development of the BIM query and a cloud-based conversational BIM tool using Autodesk BIM360 Documents and Forge API developer tools is progressing. The solution is being developed on Amazon Web Services (AWS), which include Amazon Elastic Computing Cloud (EC2), Transcribe, Polly, Lambda, Dynamo, API Gateway and Simple Storage Service (S3). Also, the development of the data extraction and storage standard for fast and easy query of BIM data is progressing.

3. The Conversational-BIM solution's Proof of Concept was presented in a workshop to construction workers (Architects, Design Engineers, Quantity Surveyor, Project Managers) The feedbacks from the workshop shows that the Conversational-BIM solution will be useful to site workers as well as Design Teams in the office. The feedbacks further show that the solution will lead to improved productivity especially in this era of Covid-19 pandemic.

4. Cloud computing in construction industry: Use cases, benefits and challenges: The study has investigated the relevance of cloud computing in the last decade to the construction industry, exploring the extent to which cloud computing has been used in construction. Relevant up-to-date publications from SCOPUS, Science Direct and Google Scholar that are characterised with robustness and integrity have been reviewed. This is the first of its kind study, viewing construction industry from the inception of cloud computing technology to the present. The study provided a rundown of cloud computing including the underpinning technologies that has supported the development of cloud-native services. This study analysed the existing literature and find out that cloud computing in construction is an active area of research.

The study has revealed that the use of cloud computing in construction industry is emerging and that opportunities therein are abound. More importantly, cloud services are inevitable for SMEs in the sector to digitise their processes using BIM-enabled applications. The study has brought out the core use cases of cloud computing in construction industry, presently these are; safety system, waste minimisation system, supply chain management system, energy management system and construction informatics. The study found out that construction industry is benefitting computational power for data analysis, a secured cost-effective and convenient access to construction data by all stakeholders from the use of cloud computing. The study divulged that cloud computing is being used in the feasibility study, design and construction stages of project lifecycle. Whereas, its use in the handover and operations stages of project construction is still unpopular. The use of cloud computing technologies in post occupancy systems like facility management, users comfort management, demolition and deconstruction system etc. is not well pronounced.

The study highlighted some of the challenges militating against wider adoption of the technology and provide strategies to survive them. The study also mentioned some of the future benefits of wider adoption of cloud computing in construction industry. This work is very useful for the construction practitioners and researchers as it presents the potentiality of cloud computing in the construction industry. Future research will look into relevance of emerging Edge computing, fog computing, cloudlet, mobile edge computing, etc. in the construction industry.

5. Conversational Artificial Intelligence, Chatbots, Social Robots in the AEC Industry: A Review of Present Status, Challenges and Opportunities: The study presents a systematic review of the extant literature on Conversational Artificial Intelligence (CAI) in the AEC industry to review the development of existing CAIs, extant application areas, opportunities for CAIs and challenges. The findings revealed that the extant CAIs in AEC are aimed at information retrieval and extraction from BIM models, web, and documents. In addition, the study highlights opportunities for the development of conversational-BIM, conversational agents for meetings, briefing, hazard identification, education, well-being and facility management and others.
Exploitation Route While developing the proposed solution, the PI and his team are working with two UK major construction companies to ensure that input are obtained from industry practitioners. The feedback from Workshop sessions are used to refine the Conversational-BIM solution. Engagement workshop with wider UK construction industry will soon be held to inform the industry of the Conversational BIM solution being developed.

With the early engagement of the construction industry stakeholders, the Conversational BIM solution will not be strange to the UK construction industry. Therefore, it will be easy for the industry to take the product onboard.

Project team attended one of the ICURe - Lean Launch Programme where Conversational-BIM solution was presented to a group of angel investors. Follow-up meetings were held and the project team was advised that the Conversational-BIM solution would need to be progressed to to a higher TRL to attract angel investors.
Sectors Construction

URL http://cbim.herokuapp.com
 
Description 1. The AI models and BIM Data extraction technique developed on the Conversational-BIM project is being leveraged on the following Projects 1. Innovate UK funded Demonstrator project - Transport Infrastructure Efficiency Strategy Living labs. 2. Innovate UK Smart Grant - Computer Vision and IoT for Personalised Site Monitoring Analytics in Real-Time (CV-SMART) towards Behaviour-Based Safety 3. Innovate UK Smart Grant - AI System for Predicting Embodied Carbon (ASPEC) in Infrastructure Projects 4. Innovate UK Smart Grant - IntelliSite: Enabling safer and more efficient construction through video analytics and machine learning
First Year Of Impact 2020
Sector Construction
Impact Types Economic

 
Title Conversational AI Module 
Description The Conversational AI module of the solution is being developed on Amazon Web Services (AWS). The AWS tool being used include Amazon Elastic Computing Cloud (EC2), Transcribe, Polly, Lambda, Dynamo, API Gateway and Simple Storage Service (S3). JavaScript technology s being used to develop the front end of the application. To facilitate interaction with 3D models, Autodesk BIM360 Documents and Forge API developer tools are being used. 
Type Of Technology Webtool/Application 
Year Produced 2020 
Impact No noticeable impact yet as the module is a piece of the whole solution. 
 
Description Workshop with Site Workers 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact The workshop was organised by Winvic Construction Limited, one of the major construction companies in the UK. The essence of the workshop is to introduce site worker to the Conversational BIM solution to solicit their views about the solution. Site workers present in the Workshop include the project managers, the quantity surveyors and the engineers. A total twelve individuals attended the the workshop which took place at the head office of Winvic Construction Limited.
Year(s) Of Engagement Activity 2020