Boatwright et al., 2023 - Google Patents
Integrated sensor placement and leak localization using geospatial genetic algorithmsBoatwright et al., 2023
View PDF- Document ID
- 10463126517585631511
- Author
- Boatwright S
- Mounce S
- Romano M
- Boxall J
- Publication year
- Publication venue
- Journal of Water Resources Planning and Management
External Links
Snippet
There is an urgent need to reduce water loss from drinking water distribution systems. A novel framework that integrates the placement of multiple pressure sensors and localization using geospatial techniques is developed and validated to find leaks/bursts as they occur …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
- G01M3/28—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves for welds
- G01M3/2807—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors for pipes, cables or tubes; for pipe joints or seals; for valves for welds for pipes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Sophocleous et al. | Leak localization in a real water distribution network based on search-space reduction | |
Sanz et al. | Leak detection and localization through demand components calibration | |
Vrachimis et al. | Battle of the leakage detection and isolation methods | |
Qi et al. | Better understanding of the capacity of pressure sensor systems to detect pipe burst within water distribution networks | |
Wu et al. | Water loss detection via genetic algorithm optimization-based model calibration | |
Moser et al. | Leak detection of water supply networks using error-domain model falsification | |
Goulet et al. | Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks | |
Kang et al. | Real-time demand estimation and confidence limit analysis for water distribution systems | |
Mutikanga et al. | Methods and tools for managing losses in water distribution systems | |
Meseguer et al. | A decision support system for on-line leakage localization | |
Kun et al. | Inversion model of water distribution systems for nodal demand calibration | |
Wu et al. | Pressure-dependent leak detection model and its application to a district water system | |
Sarrate et al. | Sensor placement for leak detection and location in water distribution networks | |
Farley et al. | Field testing of an optimal sensor placement methodology for event detection in an urban water distribution network | |
Casillas Ponce et al. | Model-based leak detection and location in water distribution networks considering an extended-horizon analysis of pressure sensitivities | |
Farley et al. | Development and field validation of a burst localization methodology | |
V ı´ tkovský et al. | Optimal measurement site locations for inverse transient analysis in pipe networks | |
Kang et al. | Novel approach to detecting pipe bursts in water distribution networks | |
Moser et al. | Performance comparison of reduced models for leak detection in water distribution networks | |
El-Abbasy et al. | Locating leaks in water mains using noise loggers | |
Tao et al. | Burst detection using an artificial immune network in water-distribution systems | |
Marzola et al. | Leakage detection and localization in a water distribution network through comparison of observed and simulated pressure data | |
Soroush et al. | Optimal selection of number and location of pressure sensors in water distribution systems using geostatistical tools coupled with genetic algorithm | |
Cheng et al. | Optimizing sensor placement and quantity for pipe burst detection in a water distribution network | |
Li et al. | Leakage localization using pressure sensors and spatial clustering in water distribution systems |