Optimal flow sensor placement on wastewater treatment plants

被引:25
|
作者
Villez, Kris [1 ]
Vanrolleghem, Peter A. [2 ]
Corominas, Lluis [3 ]
机构
[1] Eawag, Dept Proc Engn, Uberlandstr 133, CH-8600 Dubendorf, Switzerland
[2] Univ Laval, modelEAU, Pavillon Adrien Pouliot,1065,Ave Med, Quebec City, PQ G1V 0A6, Canada
[3] Univ Girona, Catalan Inst Water Res, ICRA, Sci & Technol Pk,Emili Grahit 101, E-17003 Girona, Spain
基金
加拿大自然科学与工程研究理事会;
关键词
Fault detection; Mass balancing; Multi-objective optimization; Redundancy; Sensor placement; Wastewater treatment; GENERALIZED PROCESS NETWORKS; SEQUENCING BATCH REACTOR; REDUNDANCY CLASSIFICATION; OBSERVABILITY; RECONCILIATION; PERFORMANCE; ALGORITHMS; THEOREMS; LOCATION; BALANCE;
D O I
10.1016/j.watres.2016.05.068
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Obtaining high quality data collected on wastewater treatment plants is gaining increasing attention in the wastewater engineering literature. Typical studies focus on recognition of faulty data with a given set of installed sensors on a wastewater treatment plant. Little attention is however given to how one can install sensors in such a way that fault detection and identification can be improved. In this work, we develop a method to obtain Pareto optimal sensor layouts in terms of cost, observability, and redundancy. Most importantly, the resulting method allows reducing the large set of possibilities to a minimal set of sensor layouts efficiently for any wastewater treatment plant on the basis of structural criteria only, with limited sensor information, and without prior data collection. In addition, the developed optimization scheme is fast. Practically important is that the number of sensors needed for both observability of all flows and redundancy of all flow sensors is only one more compared to the number of sensors needed for observability of all flows in the studied wastewater treatment plant configurations. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:75 / 83
页数:9
相关论文
共 50 条
  • [1] Sensor placement for wastewater treatment plants: a computationally efficient algorithm
    Liu, Siyu
    Yin, Xunyuan
    Liu, Jinfeng
    2022 IEEE INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF INDUSTRIAL PROCESSES (ADCONIP 2022), 2022, : 228 - 233
  • [2] Optimal sensor placement method for wastewater treatment plants based on discrete multi-objective state transition algorithm
    Li, Wenting
    Han, Jie
    Li, Yonggang
    Zhang, Fengxue
    Zhou, Xiaojun
    Yang, Chunhua
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 307
  • [3] A general-purpose method for Pareto optimal placement of flow rate and concentration sensors in networked systems - With application to wastewater treatment plants
    Villez, Kris
    Vanrolleghem, Peter A.
    Corominas, Lluis
    COMPUTERS & CHEMICAL ENGINEERING, 2020, 139
  • [4] FLOW EQUALIZATION - PLUS FOR WASTEWATER TREATMENT PLANTS
    不详
    CIVIL ENGINEERING, 1975, 45 (09): : 66 - 68
  • [5] Flow modelling for compact wastewater treatment plants
    Nasarimba-Grecescu, Bogd. Dumitru
    Robescu, D. Niculae
    Moga, Ioana Corina
    UPB Scientific Bulletin, Series D: Mechanical Engineering, 2011, 73 (02): : 291 - 298
  • [6] Ammonium Sensor Fault Detection in Wastewater Treatment Plants
    Tena, David
    Penarrocha-Alos, Ignacio
    Sanchis, Roberto
    Moliner-Heredia, Ruben
    ICINCO: PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 2020, : 681 - 688
  • [7] Optimal sensor placement
    Grosjean, CC
    SIAM REVIEW, 1996, 38 (04) : 670 - 671
  • [8] FLOW AND LOAD VARIATIONS AT WASTEWATER-TREATMENT PLANTS
    MUNKSGAARD, DG
    YOUNG, JC
    JOURNAL WATER POLLUTION CONTROL FEDERATION, 1980, 52 (08): : 2131 - 2144
  • [9] FLOW-MEASURING FLUME FOR WASTEWATER TREATMENT PLANTS
    WALKER, WR
    SKOGERBOE, GV
    BENNETT, RS
    JOURNAL WATER POLLUTION CONTROL FEDERATION, 1973, 45 (03): : 542 - 551
  • [10] Fault detection of dissolved oxygen sensor in wastewater treatment plants
    Li, Xuemeng
    Chai, Wei
    Liu, Tong
    Qiao, Junfei
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 225 - 230