Decision support system for proactive maintenance of earthworks assets

Research output: Contribution to conferenceAbstract

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Abstract

Introduction
A key component of management of water resources lies in asset monitoring of the structures that contain water, e.g., dams and embankments. Earthworks failures can lead to disastrous consequences, including flooding, and can be very expensive to remediate. This paper presents a solution to assess the physical integrity of vulnerable earth structures (dams, embankments and cuttings) - thereby facilitating the shift from more costly responsive remediation of earthwork failures to early intervention. While current methods (including sophisticated automated procedures, sensors and SCADA systems) do provide some information regarding the health of the assets, they have a number of limitations: (1) the cost of deploying and maintaining these solutions; (2) the level of intrusiveness; (3) the need for experienced engineers validating measurements by visual inspection; (4) remoteness of many sites; and (5) low temporal resolution with limited scope for predictive approaches to asset failure.

Methodology
Early intervention and prevention requires identification of the incremental development of internal conditions that ultimately trigger failure. The low cost of the devices allows deployments of higher density, increasing spatial resolution and monitoring in real-time. This, unlike conventional approaches, allows better representation the soil heterogeneity both spatially and temporarily. To this end, we will present observations from our trials of automated resistivity, movement and pressure measurements. The developed sensor nodes operate at low voltages, integrates a range of analogue and digital sensors, using a single interface for measuring resistivity, pressure, motion pore pressure, and temperature, can be developed in compact form (currently 32.5cm high with diameter 14.5cm for prototyping), are non-intrusive to their compact nature and continually log data with no human intervention. We will also discuss the design aspects of the casing so that our electronic sensor nodes are robust to harsh conditions, including extreme temperatures, moisture, high voltages, and wildlife, when buried. Data is stored on a data collection hub, and due to remoteness of these sites, remote communications has been enabled through near white-space frequencies to highlight potential risks to the appropriate stakeholders in real-time.

Results and conclusions
This paper presents a unique, customized and cost-effective platform for automated monitoring of earthworks through prototyping a novel hardware/firmware solution in consultation with various stakeholders: (i) integration of analogue and digital sensors for measuring pressure and motion, (ii) resistivity board that is controlled by main board, (iii) variable and on-demand sampling rates that can be dynamically controlled, (iv) a prototype mechanical waterproof design for housing main board, resistivity board and relevant sensors. We show initial results for ground movement, pressure and resistivity. Resistivity results are as expected based on the literature for clay-type soil. We also observe noticeable ground movement variation with artificially induced disturbance. We conclude that it is possible, through trials at Scottish Canals assets at Falkirk Wheel, to accurately monitor multiple earthworks parameters simultaneously, continuously, in real-time and without human intervention, as well as communicate data remotely in real-time to enable prediction of the onset of earthworks failures.
Original languageEnglish
Number of pages1
Publication statusPublished - 25 May 2015
EventWorld Water Congress XV - Edinburgh, United Kingdom
Duration: 25 May 201529 May 2015

Conference

ConferenceWorld Water Congress XV
CountryUnited Kingdom
CityEdinburgh
Period25/05/1529/05/15

Fingerprint

Decision support systems
Sensors
Sensor nodes
Monitoring
Soils
Costs
SCADA systems
Embankment dams
Firmware
Pore pressure
Embankments
Electric potential
Canals
Pressure measurement
Remediation
Water resources
Computer hardware
Dams
Wheels
Clay

Keywords

  • environment
  • infrastructure
  • asset monitoring
  • water

Cite this

Stankovic, L., Elafoudi, G., Tachtatzis, C., Andonovic, I., Cassels, G., & Fickling , A. (2015). Decision support system for proactive maintenance of earthworks assets. Abstract from World Water Congress XV, Edinburgh, United Kingdom.
Stankovic, Lina ; Elafoudi, Georgia ; Tachtatzis, Christos ; Andonovic, Ivan ; Cassels, George ; Fickling , Andrew . / Decision support system for proactive maintenance of earthworks assets. Abstract from World Water Congress XV, Edinburgh, United Kingdom.1 p.
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title = "Decision support system for proactive maintenance of earthworks assets",
abstract = "IntroductionA key component of management of water resources lies in asset monitoring of the structures that contain water, e.g., dams and embankments. Earthworks failures can lead to disastrous consequences, including flooding, and can be very expensive to remediate. This paper presents a solution to assess the physical integrity of vulnerable earth structures (dams, embankments and cuttings) - thereby facilitating the shift from more costly responsive remediation of earthwork failures to early intervention. While current methods (including sophisticated automated procedures, sensors and SCADA systems) do provide some information regarding the health of the assets, they have a number of limitations: (1) the cost of deploying and maintaining these solutions; (2) the level of intrusiveness; (3) the need for experienced engineers validating measurements by visual inspection; (4) remoteness of many sites; and (5) low temporal resolution with limited scope for predictive approaches to asset failure.MethodologyEarly intervention and prevention requires identification of the incremental development of internal conditions that ultimately trigger failure. The low cost of the devices allows deployments of higher density, increasing spatial resolution and monitoring in real-time. This, unlike conventional approaches, allows better representation the soil heterogeneity both spatially and temporarily. To this end, we will present observations from our trials of automated resistivity, movement and pressure measurements. The developed sensor nodes operate at low voltages, integrates a range of analogue and digital sensors, using a single interface for measuring resistivity, pressure, motion pore pressure, and temperature, can be developed in compact form (currently 32.5cm high with diameter 14.5cm for prototyping), are non-intrusive to their compact nature and continually log data with no human intervention. We will also discuss the design aspects of the casing so that our electronic sensor nodes are robust to harsh conditions, including extreme temperatures, moisture, high voltages, and wildlife, when buried. Data is stored on a data collection hub, and due to remoteness of these sites, remote communications has been enabled through near white-space frequencies to highlight potential risks to the appropriate stakeholders in real-time.Results and conclusionsThis paper presents a unique, customized and cost-effective platform for automated monitoring of earthworks through prototyping a novel hardware/firmware solution in consultation with various stakeholders: (i) integration of analogue and digital sensors for measuring pressure and motion, (ii) resistivity board that is controlled by main board, (iii) variable and on-demand sampling rates that can be dynamically controlled, (iv) a prototype mechanical waterproof design for housing main board, resistivity board and relevant sensors. We show initial results for ground movement, pressure and resistivity. Resistivity results are as expected based on the literature for clay-type soil. We also observe noticeable ground movement variation with artificially induced disturbance. We conclude that it is possible, through trials at Scottish Canals assets at Falkirk Wheel, to accurately monitor multiple earthworks parameters simultaneously, continuously, in real-time and without human intervention, as well as communicate data remotely in real-time to enable prediction of the onset of earthworks failures.",
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year = "2015",
month = "5",
day = "25",
language = "English",
note = "World Water Congress XV ; Conference date: 25-05-2015 Through 29-05-2015",

}

Stankovic, L, Elafoudi, G, Tachtatzis, C, Andonovic, I, Cassels, G & Fickling , A 2015, 'Decision support system for proactive maintenance of earthworks assets' World Water Congress XV, Edinburgh, United Kingdom, 25/05/15 - 29/05/15, .

Decision support system for proactive maintenance of earthworks assets. / Stankovic, Lina; Elafoudi, Georgia; Tachtatzis, Christos; Andonovic, Ivan; Cassels, George ; Fickling , Andrew .

2015. Abstract from World Water Congress XV, Edinburgh, United Kingdom.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Decision support system for proactive maintenance of earthworks assets

AU - Stankovic, Lina

AU - Elafoudi, Georgia

AU - Tachtatzis, Christos

AU - Andonovic, Ivan

AU - Cassels, George

AU - Fickling , Andrew

PY - 2015/5/25

Y1 - 2015/5/25

N2 - IntroductionA key component of management of water resources lies in asset monitoring of the structures that contain water, e.g., dams and embankments. Earthworks failures can lead to disastrous consequences, including flooding, and can be very expensive to remediate. This paper presents a solution to assess the physical integrity of vulnerable earth structures (dams, embankments and cuttings) - thereby facilitating the shift from more costly responsive remediation of earthwork failures to early intervention. While current methods (including sophisticated automated procedures, sensors and SCADA systems) do provide some information regarding the health of the assets, they have a number of limitations: (1) the cost of deploying and maintaining these solutions; (2) the level of intrusiveness; (3) the need for experienced engineers validating measurements by visual inspection; (4) remoteness of many sites; and (5) low temporal resolution with limited scope for predictive approaches to asset failure.MethodologyEarly intervention and prevention requires identification of the incremental development of internal conditions that ultimately trigger failure. The low cost of the devices allows deployments of higher density, increasing spatial resolution and monitoring in real-time. This, unlike conventional approaches, allows better representation the soil heterogeneity both spatially and temporarily. To this end, we will present observations from our trials of automated resistivity, movement and pressure measurements. The developed sensor nodes operate at low voltages, integrates a range of analogue and digital sensors, using a single interface for measuring resistivity, pressure, motion pore pressure, and temperature, can be developed in compact form (currently 32.5cm high with diameter 14.5cm for prototyping), are non-intrusive to their compact nature and continually log data with no human intervention. We will also discuss the design aspects of the casing so that our electronic sensor nodes are robust to harsh conditions, including extreme temperatures, moisture, high voltages, and wildlife, when buried. Data is stored on a data collection hub, and due to remoteness of these sites, remote communications has been enabled through near white-space frequencies to highlight potential risks to the appropriate stakeholders in real-time.Results and conclusionsThis paper presents a unique, customized and cost-effective platform for automated monitoring of earthworks through prototyping a novel hardware/firmware solution in consultation with various stakeholders: (i) integration of analogue and digital sensors for measuring pressure and motion, (ii) resistivity board that is controlled by main board, (iii) variable and on-demand sampling rates that can be dynamically controlled, (iv) a prototype mechanical waterproof design for housing main board, resistivity board and relevant sensors. We show initial results for ground movement, pressure and resistivity. Resistivity results are as expected based on the literature for clay-type soil. We also observe noticeable ground movement variation with artificially induced disturbance. We conclude that it is possible, through trials at Scottish Canals assets at Falkirk Wheel, to accurately monitor multiple earthworks parameters simultaneously, continuously, in real-time and without human intervention, as well as communicate data remotely in real-time to enable prediction of the onset of earthworks failures.

AB - IntroductionA key component of management of water resources lies in asset monitoring of the structures that contain water, e.g., dams and embankments. Earthworks failures can lead to disastrous consequences, including flooding, and can be very expensive to remediate. This paper presents a solution to assess the physical integrity of vulnerable earth structures (dams, embankments and cuttings) - thereby facilitating the shift from more costly responsive remediation of earthwork failures to early intervention. While current methods (including sophisticated automated procedures, sensors and SCADA systems) do provide some information regarding the health of the assets, they have a number of limitations: (1) the cost of deploying and maintaining these solutions; (2) the level of intrusiveness; (3) the need for experienced engineers validating measurements by visual inspection; (4) remoteness of many sites; and (5) low temporal resolution with limited scope for predictive approaches to asset failure.MethodologyEarly intervention and prevention requires identification of the incremental development of internal conditions that ultimately trigger failure. The low cost of the devices allows deployments of higher density, increasing spatial resolution and monitoring in real-time. This, unlike conventional approaches, allows better representation the soil heterogeneity both spatially and temporarily. To this end, we will present observations from our trials of automated resistivity, movement and pressure measurements. The developed sensor nodes operate at low voltages, integrates a range of analogue and digital sensors, using a single interface for measuring resistivity, pressure, motion pore pressure, and temperature, can be developed in compact form (currently 32.5cm high with diameter 14.5cm for prototyping), are non-intrusive to their compact nature and continually log data with no human intervention. We will also discuss the design aspects of the casing so that our electronic sensor nodes are robust to harsh conditions, including extreme temperatures, moisture, high voltages, and wildlife, when buried. Data is stored on a data collection hub, and due to remoteness of these sites, remote communications has been enabled through near white-space frequencies to highlight potential risks to the appropriate stakeholders in real-time.Results and conclusionsThis paper presents a unique, customized and cost-effective platform for automated monitoring of earthworks through prototyping a novel hardware/firmware solution in consultation with various stakeholders: (i) integration of analogue and digital sensors for measuring pressure and motion, (ii) resistivity board that is controlled by main board, (iii) variable and on-demand sampling rates that can be dynamically controlled, (iv) a prototype mechanical waterproof design for housing main board, resistivity board and relevant sensors. We show initial results for ground movement, pressure and resistivity. Resistivity results are as expected based on the literature for clay-type soil. We also observe noticeable ground movement variation with artificially induced disturbance. We conclude that it is possible, through trials at Scottish Canals assets at Falkirk Wheel, to accurately monitor multiple earthworks parameters simultaneously, continuously, in real-time and without human intervention, as well as communicate data remotely in real-time to enable prediction of the onset of earthworks failures.

KW - environment

KW - infrastructure

KW - asset monitoring

KW - water

UR - http://worldwatercongress.com/

UR - http://www.iwra.org/

M3 - Abstract

ER -

Stankovic L, Elafoudi G, Tachtatzis C, Andonovic I, Cassels G, Fickling A. Decision support system for proactive maintenance of earthworks assets. 2015. Abstract from World Water Congress XV, Edinburgh, United Kingdom.