Distributed Fibre-optic Cable Sensing for Buried Pipe Infrastructure

Lead Research Organisation: University of Sheffield
Department Name: Mechanical Engineering

Abstract

In the UK the 600,000 km long underground sewer system (including private sewers) is ageing and poorly monitored. In continental Europe, the total value of the sewer assets amounts to 2 trillion Euros. The US EPA estimates that sewer collection systems in the USA have a total replacement value between $1 and $2 trillion. In China alone 40,000 km of new sewer pipes are laid every year. The system is subject to increasing capacity demands because of increased urbanisation and climate change. OFWAT (UK) and similar regulatory bodies in the developed countries impose a legal duty on water utilities to maintain the conditions of their sewer systems and to reduce the risk of flooding incidents. Consequently, monitoring pipes for obstructions and defects remediation forms an important part of an effective management programme to reduce sewer flooding and optimise the operational and maintenance costs. Existing sewer survey methods are limited to the interpretation of CCTV and LightLine images which are relatively slow and require a mobile trolley with camera to traverse through individual sewer pipes. Other existing inspection solutions rely on a limited number of flow metering devices (spot meters) which are installed sparsely across the sewer network. As a result, there are clear indications that less than 2% of the UK network is surveyed every 5 years and that a considerable number of flooding incidents are either unreported or observed with a considerable delay. This prevents the water utilities from developing a proactive maintenance programme which would enable them to achieve zero-failures in terms of sewer flooding.

The project proposed here is formulated to develop new science which underpins the emerging fibre-optic sensing technology platform which can be laid with a robot in the invert of a sewer pipe to sense the flow conditions and continuously monitor pipe deterioration pervasively and to respond to events proactively. Theoretical, numerical modelling and extensive laboratory work will be carried out to understand the fluid-structure interactions between the turbulent flow and turbulence-induced vibration in the fibre cable containment system. The optical signals will be studied, numerically predicted and theoretically explained. New signal processing and pattern recognition algorithms will be developed to link these optical signals to key flow characteristics and to the change in any change structural integrity of the pipe. In addition, field measurements and validation will be carried out with support the lead commercial partner, nuron Ltd, using the new fibre-optic cable system. A key outcome of this work will be: (i) new theoretical understanding how this technology works and be developed towards a much higher technology readiness level; (ii) new, user-friendly software which will incorporate the major theoretical findings and post-processing algorithms that convert the optical signal to the flow characteristics measured distributively along the fibre-optic cable length and understood by the end-user.

The proposal is timely because it will contribute significantly to the need for us to better understand the hydraulic behaviour and conditions of our buried infrastructure in real time and at an unprecedented spatial resolution. The new sensor technology will also enable new theoretical foundations to be developed in the areas of hydraulics, wave propagation, structural health/condition monifoting and computational fluid dynamics.

Planned Impact

This project will result in new fibre-optic cable technology platform with the capability to rapidly survey the hydrodynamics and structural conditions of pipes non-invasively with an unprecedented degree of spatial and temporal resolution and spatial scale. This capability is important for asset management, flood risk, pipe condition change and pollution risk from intermittent discharges in watercourses. The following groups will benefit from this work: (i) short-term (duration of project) - flow survey instrument and sensor developers and manufacturers; (ii) medium-term (up to five years) - water utilities and consultants; and (iii) long-term (five to ten years) - governmental regulators, non-governmental organisations (NGOs) and general public.
1. A sensor manufacturer is involved (see LoS from nuron). This organisation will benefit in terms of a much better physical and mathematical understanding of the link between the hydraulic flow characteristics, turbulence, free surface behaviour in an open channel flow, acoustic waves generated in fibre-optic cable containment system and ability of the signal processing/pattern recognition algorithms to infer accurately the true characteristics of the flow and structural conditions in the pipe from the optical data. Other flow monitoring companies will be engaged via the project workshops. The better understanding of the physics and underpinning mathematics will enable the design more accurate, lower cost flow measurement instruments which will be commercially viable and have high market value. The flexible deployment of the new sensor technology can be achieved by working with water utilities right from the start.
2. The project benefits from the involvement of the USEPA (see LoS) and other non-academic partners (EA, Arup, Severn Trend Water) (through nuron's active links). Their involvement in the steering of the work and provision of data and testing sites will ensure that the outcomes of our work will be of high importance to government and statutory bodies and consultants engaged in water resource and river management. For example, the EA/USEPA have a statutory duty to assess and manage flood risk and discharge in watercourses. This is accomplished by understanding well the sewer and drainage capacity and devising adequate measures to reduce flood/discharge risk. Currently, pipe flow models are used which are calibrated against sparse data collected at a limited number of nodes. The new sensing technology platform to be developed will allow more widespread and higher quality measurement at all flow conditions and at unprecedented spacial and temporal resolution. Accurate monitoring of the spatial and temporal hydraulic changes in pipes is of paramount importance for predicting incidents of urban flooding and pollution discharge in watercourses. Thus our developed technology is likely to be a core tool in EA/USEPA's work by providing spatial hydrodynamic data to assess impact and to prevent incidents of sewerage discharge. The pipe failure and flood risks are assessed by water utilities and by consultancies. The detailed data obtained from fibre-optic sensing will provide new understanding of pipe flow hydraulics for water utilities, consultancies and government statutory bodies involved in the management of urban water infrastructure and catchment areas.
3. The ability to collect low cost flow data with fine spatial and temporal resolution will over the longer term provide a better assessment of the hydraulic capacity of a pipe network and its deterioration rates. This will lead to the improved management by water utilities of their buried assets. NGOs and the general public will benefit in terms of improved flood risk management and better ecological status achieved through provision of better, more plentiful temporal and spatial hydraulic data, which will also raise public awareness of potential ecological impacts of sewer pipe failures.

Publications

10 25 50
 
Description The response of the Fiber Optic Sensor was tested and compared against the model. The sensitivity range and spatial resolution was identified. Based on these results the design of new sensor was proposed and it was recently built using the new type of Fiber Optic technology. The new sensor will be tested for its suitability in measurements of the near wall pressure fluctuations in the partially filled pipe turbulent flow. The planned measurements are aimed at validating the key numerical findings discovered by UCL team as a part of this project.
UPD2023
The Fiber Optic Sensor was installed into 20 m long pipe and first set of preliminary measurements showed that the sensor is responding to the different flow conditions. In the process of installation two versions of the sensor were created to improve consistency of measurements. The new rig will be used to test the predictions obtained by our academic collaborators from UCL.
Exploitation Route This project is actively supported by the industry confirming the interest in the development of state of the art water infrastructure monitoring tools.
Sectors Environment

 
Description Intelligent sewers: investigation of uncertainties in fibre optic measurements of partially filled pipe flow
Amount £42,000 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 02/2022 
End 06/2022
 
Title Analysis of the measurement uncertainties with ABC-SMC sampling algorithm 
Description A novel technique has been developed to analyse the measurement uncertainties with the approximate Bayesian computation-sequential Monte Carlo (ABC-SMC) sampling algorithm. The new technique can be used in calibrating an optical sensor in presence of challenging mechanical conditions. 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact The paper with the description of the novel technique is in process to be submitted to the peer-reviewed journal. 
 
Description Industrial partner Nuron Ltd 
Organisation Nuron ltd
Country United Kingdom 
Sector Private 
PI Contribution This research provides robust assessment of the fibre-optic technology and its application in measuring range of flow conditions. It is too early to state the real impact of the ongoing development of models and experimental techniques.
Collaborator Contribution Current collaboration is based on the use of Nuron's equipment to collect data in Fibre-optic Cable Sensors integrated with the test pipe.
Impact It is too early to state the real impact of the ongoing development of models and experimental techniques. The collaboration is multi-disciplinary involving: - Hydraulic models/experiments - Structural dynamics - Fibre-optic measurements
Start Year 2019
 
Description Numerical simulation of flow conditions in partially filled pipe 
Organisation University College London
Department Department of Civil, Environmental and Geomatic Engineering
Country United Kingdom 
Sector Academic/University 
PI Contribution UCL research team was given a geometry and conditions to simulate water flow in the partially filled pipe with their in-house numerical solver. It is expected that the data from the measurements collected in The University of Sheffield will be used to validate the predictions.
Collaborator Contribution The results from the numerical model developed by UCL research team are used to inform the design of the hydraulic experiment in The University of Sheffield.
Impact It is expected that there will be at least two joint peer-reviewed papers based on the data collected from the experiments and predictions obtained with the numerical model.
Start Year 2020