Mollerup et al., 2017 - Google Patents
Controlling sewer systems–a critical review based on systems in three EU citiesMollerup et al., 2017
- Document ID
- 5576792679779522176
- Author
- Mollerup A
- Mikkelsen P
- Thornberg D
- Sin G
- Publication year
- Publication venue
- Urban Water Journal
External Links
Snippet
Abstract The term Real Time Control (RTC) is widely used to describe all types of control systems in sewer systems. Today the term covers everything from the simplest to the most advanced types of control systems, making it difficult to communicate about sewer system …
- 230000001276 controlling effect 0 title description 11
Classifications
-
- 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
- G06Q10/0631—Resource planning, allocation or scheduling for a business operation
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/048—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- 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"
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- 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
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mollerup et al. | Controlling sewer systems–a critical review based on systems in three EU cities | |
| Lund et al. | Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management | |
| Schütze et al. | Real time control of urban wastewater systems—where do we stand today? | |
| Franco-Torres et al. | Articulating the new urban water paradigm | |
| Steele et al. | Heuristic optimization model for the optimal layout and pipe design of sewer systems | |
| Hashemy et al. | Application of an in-line storage strategy to improve the operational performance of main irrigation canals using model predictive control | |
| Salomons et al. | A practical optimization scheme for real-time operation of water distribution systems | |
| Fiorelli et al. | Optimised real time operation of a sewer network using a multi-goal objective function | |
| Haghighi et al. | Reliability-based layout design of sewage collection systems in flat areas | |
| Price et al. | Optimal pump scheduling in water distribution systems using graph theory under hydraulic and chlorine constraints | |
| Wang et al. | Optimizing operating rules for a reservoir system in northern China considering ecological flow requirements and water use priorities | |
| Khatavkar et al. | Optimization-simulation model for real-time pump and valve operation of water distribution systems under critical conditions | |
| Kroll et al. | Energy optimization of the urban drainage system by integrated real-time control during wet and dry weather conditions | |
| Tao et al. | Analytics and optimization reduce sewage overflows to protect community waterways in Kentucky | |
| Montero et al. | Simplified hydraulic modelling in model predictive control of flood mitigation measures along rivers | |
| Pecci et al. | Convex heuristics for optimal placement and operation of valves and chlorine boosters in water networks | |
| Zadorojniy et al. | Unleashing analytics to reduce costs and improve quality in wastewater treatment | |
| Khatavkar et al. | Real-time operation of water-supply canal systems under limited electrical power and/or water availability | |
| Gan et al. | Research on low-energy consumption automatic real-time regulation of cascade gates and pumps in open-canal based on reinforcement learning | |
| Ranjbar et al. | Digital twin of Calais canal with model predictive controller: A simulation on a real database | |
| Kwon et al. | Multiperiod optimization framework for urban drainage system planning: A scenario-based approach | |
| Duviella et al. | Adaptive water-resource allocation planning of inland waterways in the context of global change | |
| Zhao et al. | A systematic mixed-integer differential evolution approach for water network operational optimization | |
| Ryu et al. | Optimal planning of decentralised storage tanks to reduce combined sewer overflow spills using particle swarm optimisation | |
| Yassin et al. | Evaluation of data-driven and process-based real-time flow forecasting techniques for informing operation of surface water abstraction |