Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 38 Issue 7
Nov.  2020
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2020  >  38(7): 25-31,99
ZHANG Shuang, YANG Qing, LIU Xiu-hong, CUI Bin, LIU Zhi-bin. RESEARCH PROGRASS ON STRUCTURAL CHARACTERISTICS AND APPLICATION OF EXPERT SYSTEM IN WASTEWATER TREATMENT PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(7): 25-31,99. doi: 10.13205/j.hjgc.202007004
Citation: ZHANG Shuang, YANG Qing, LIU Xiu-hong, CUI Bin, LIU Zhi-bin. RESEARCH PROGRASS ON STRUCTURAL CHARACTERISTICS AND APPLICATION OF EXPERT SYSTEM IN WASTEWATER TREATMENT PROCESS[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(7): 25-31,99. doi: 10.13205/j.hjgc.202007004
shu

RESEARCH PROGRASS ON STRUCTURAL CHARACTERISTICS AND APPLICATION OF EXPERT SYSTEM IN WASTEWATER TREATMENT PROCESS

doi: 10.13205/j.hjgc.202007004

  • National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Beijing University of Technology, Beijing 100124, China

  • Received Date: 2020-05-15
    Abstract
  • The structure and characteristics of expert system in the field of wastewater treatment, the technology and the research achievements in the application of expert system were reviewed. The acquisition and representation of knowledge, the establishment of rules and the combination with fault tree and other artificial intelligence technologies in the expert system were emphatically introduced, and the research status of the expert system in the three different stages including wastewater treatment process selection, operation control and fault diagnosis was analyzed in detail. On this basis, the problems to be solved and the direction of further research and development were put forward.
    • FullText(HTML)
    • References(55)
  • 中华人民共和国住房和城乡建设部. 关于全国城镇污水处理设施2010年第四季度建设和运行情况的通报[EB/OL].http://www.mohurd.gov.cn/wjfb/201103/t20110308_202771.

    html.
    生态环境部. 生态环境部公布2018年度《水污染防治行动计划》重点任务实施情况[EB/OL].http://www.mee.gov.cn/xxgk2018/xxgk/xxgk15/201907

    /t20190723_712133.html.
    PIRES O C, PALMA C, COSTA J C, et al. Knowledge-based fuzzy system for diagnosis and control of an integrated biological wastewater treatment process[J]. Water Science and Technology, 2006, 53(4/5):313-320.
    尹朝庆, 尹皓. 人工智能与专家系统[M]. 北京:中国水利水电出版社, 2002.
    ROSSMAN L A. Synthesis of waste treatment systems by implicit e-numeration[J]. Water Pollution Control Federation, 1980(52):147-160.
    张丽丽, 徐俊, 强璐, 等. 专家系统在污水处理工艺选择中的应用现状和发展[J]. 四川环境, 2015, 34(3):136-140.
    刘天龙, 沈文浩. 污水处理过程中故障诊断专家系统的应用[J]. 造纸科学与技术, 2011, 30(2):75-81.
    李万超. 人工智能技术在水务行业的应用前景探讨[J]. 能源与环境, 2019(6):19,22.
    张煜东, 吴乐南, 王水花. 专家系统发展综述[J]. 计算机工程与应用, 2010, 46(19):43-47.
    朱仁官. 智能控制在污水处理中的有效运用[J]. 科学技术创新, 2019(22):183-184.
    张攀. 基于多Agent的污水处理决策指导专家系统的研发[D]. 重庆:重庆大学, 2004.
    颜秀勤, 杜秀兰, 穆莹, 等.小型污水处理站故障诊断专家系统设计与实现[J]. 信息技术与信息化, 2018(10):24-27.
    PARASKEVAS P A, PANTELAKIS I S, LEKKAS T D. An advanced integrated expert system for wastewater treatment plants control:an addendum[J]. Knowledge-Based Systems, 2003, 16(3):173.
    PUÑAL A, ROCA E, LEMA J M. An expert system for monitoring and diagnosis of anaerobic wastewater treatment plants[J]. Water Research, 2002, 36(10):2656-2666.
    王龙双. 污水处理运行监控与故障诊断专家系统的设计与开发[D]. 株洲:湖南工业大学, 2014.
    熊伟. 基于Petri网的远程智能故障诊断方法研究[D]. 北京:华北电力大学, 2014.
    连晓峰. 基于ASM2模型和专家系统的城市污水A2O处理工艺故障诊断系统[C]//东北大学,IEEE新加坡工业电子分会,IEEE控制系统协会哈尔滨分会. 第25届中国控制与决策会议论文集, 2013:4118-4123.
    韦鹤平, 袁根生. 城市污水处理工程专家系统的研制[J]. 计算结构力学及其应用, 1989(2):51-56.
    施汉昌, 王玉珏. 污水处理厂故障诊断专家系统[J]. 给水排水, 2001(8):88-90.
    申石泉. 城市污水处理流程选择专家系统(WWDES)应用探讨[C]//中国土木工程学会计算机应用学会. 中国土木工程学会计算机应用学会学术报告会论文集(4), 1989:216-223.
    李文汇, 陈梦琪. 关于污水处理中智能控制的应用分析[J]. 低碳世界, 2018(3):6-7.
    李若飞, 达尔仁·阿斯哈提, 王振豪, 等. 人工智能应用于水污染控制过程的研究进展[J]. 智能城市, 2019, 5(20):9-10.
    许家龄. 人工神经网络在污水处理过程模拟中的应用与研究进展[J]. 现代商贸工业, 2020, 41(8):202-204.
    李云, 蒋进元, 何连生, 等. 污水处理故障诊断方法的研究现状及展望[J]. 给水排水, 2017, 53(10):130-135.
    姚继平, 郝芳华, 王国强, 等. 人工智能技术对长江流域水污染治理的思考[J]. 环境科学研究, 2020, 33(5):1268-1275.
    TONG R M, BECK M B, LATTEN A. Fuzzy control of the activated sludge wastewater treatment process[J]. Pergamon, 1980,16(6).
    BECK M B. Modelling and control studies of the activated sludge process at Norwich Sewage Works[J]. Transactions of the Institute of Measurement & Control, 1984, 6(3):117-131.
    BOGER Z. Application of neural networks to water and wastewater treatment plant operation[J]. Elsevier, 1992,31(1):25-33.
    CARRASCO E F, RODRIGUEZ J, PUNAL A, et al. Rule-based diagnosis and supervision of a pilot-scale weastewater treatment plant using fuzzy logic techniques[J]. Expert Systerns with Applications, 2002, 22:11-20.
    CARRASCO E F, RODRIGUEZ J, PUNAL A, et al. Diagnosis of acidification states in an anaerobic wastewater treatment plant using a fuzzy-based expert system[J]. Control Engineering Practice, 2004, 12(1):59-64.
    孙强, 沐建国, 孙礼康. 城市污水处理异常工况判断及操作指导专家系统[J]. 计算技术与自动化, 1994(2):1-5.
    ZHANG Y D, WU L N, WEI G. A New classifier for Polarimetric SAR images[J]. Progress in Electromagnetics Research, 2009, 94:83-104.
    PERMAN C D, ORTOLANO L. Testing a Prototype Expert System for Diagnosing Wastewater Treatment Plant Operating Problems[M]//Expert Systems in Environmental Planning. New York, Berlin, Heidelberg, Springer, 1993.
    KROVVIDY S, WEE W G. An intelligent hybrid system for wastewater treatment[C]//Hybrid Architectures for Intelligent Systems, 1992.
    WEN C H, VASSILIADIS C A. Applying hybrid artificial intelligence techniques in wastewater treatment[J]. Engineering Applications of Artificial Intelligence, 1998, 11(6).
    FUENTE M J, VEGA P. Neural networks applied to fault detection of a biotechnological process[J]. Engineering Applications of Artificial Intelligence, 1999, 12(5):569-584.
    BAEZA J A, GABRIEL D, LAFUENTE J. Improving the nitrogen removal efficiency of an A2/O based WWTP by using an on-line Knowledge Based Expert System[J]. Water Research, 2002, 36(8):2109-2123.
    BRENNER A. Use of computers for process design analysis and control:sequencing batch reactor application[J]. No longer published by Elsevier, 1997, 35(1):95-104.
    NG W J, ONG S L. An algorithmic approach for system-specific modelling of activated sludge bulking in an SBR[J]. Environmental Modelling & Software, 2000,15(2):199-210.
    李军, 彭永臻, 顾国维, 等. 城市污水脱氮除磷SBR在线控制系统研究[J]. 给水排水, 2006, 32(9):90-93.
    SUNG W N. On-line integrated control system for an industrial activated sludge process[J]. Water and Environment, 1996,68(1):70-75.
    COMAS J, RODRIGUEZ R I, SANCHEZ M M, et al. A knowledge-based approach to the deflocculation problem:integrating on-line, off-line, and heuristic information[J]. Water Research, 2003, 37(10):2377-2387.
    李浩, 王伟, 陈健波. 活性污泥处理专家系统的构建[J]. 中国环保产业, 2007(2):29-31.
    李激, 郑凯凯, 王燕, 等. 智能化城市污水处理厂运行专家系统的研究[J]. 中国给水排水, 2016, 32(11):1-5.
    MC GHEE T J, MOJGANI P, VICIDOMINA F. Use of EPA's CAPDET program for evaluation of wastewater treatment alternatives[J]. Journal of Water Pollution Control Federation, 1983, 55:35-43.
    KROVVIDY S, WEE W G, SUIDAN M, et al. Intelligent sequence planning for wastewater treatment systems[J]. IEEE Expert, 1994, 9:15-20.
    CHIN T Y, JEHNG J K. An expert system for selecting and sequencing wastewater treatment processes[J]. Water Science & Technology, 1996, 34(3).
    王朝阳, 张洪波, 张雯宇, 等. 污水处理工艺选择专家系统的实现[J]. 微计算机信息, 2002(5):64-65.
    PRADIP P K, SUBHANKAR K, SHYAM R A. Technology assessment for wastewater treatment using multiple-attribute decision-making[J]. Technology in Society, 2012,34(4):295-302.
    邓金锋, 孙清斌, 尹春芹, 等. 基于案例的污水处理工艺选择专家系统设计[J]. 湖北理工学院学报, 2017, 33(3):24-27.
    孟德韬, 卿晓霞. 专家系统在污水处理系统中的应用与发展[J]. 重庆建筑大学学报, 2008,30(1):146-149.
    庞全, 杨翠容. 工业水处理pH值智能控制研究[J]. 工业水处理, 1997(4):39-41,49.
    关锋, 汤伟, 冯茜, 等. 模糊专家控制在制浆中段废水好氧处理过程中的应用[J]. 计算机测量与控制, 2010, 18(5):1039-1041.
    杨平. 污水处理中溶解氧专家模糊控制系统的研究[J]. 沙洲职业工学院学报, 2012, 15(1):13-18.
    李振宇, 杨昌柱, 章北平, 等. 污水生物处理故障诊断专家咨询系统[J]. 化学与生物工程, 2005,22(3):39-41.
    • Relative Articles

  • Relative Articles

    [1]TONG Jingzhe, NI Changjian, MI Jiayuan, JIANG Mengjiao, ZHANG Ying, SHI Qiaoyu. A BP NEURAL NETWORK MODEL OF AEROSOL SCATTERING HYGROSCOPIC GROWTH FACTOR[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(7): 131-137,165. doi: 10.13205/j.hjgc.202307018
    [2]WEI Qing, CHEN Yongqi, XIE Yifan, LIN Jingying, YIN Hailong. POLLUTION MECHANISM OF WET-WEATHER PUMPING DISCHARGE IN SEPARATED STORMWATER DRAINAGE SYSTEMS BASED ON ARTIFICIAL NEURAL NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(12): 54-60,181. doi: 10.13205/j.hjgc.202312006
    [3]LI Yuanyuan, LIU Hailong. PREDICTION OF TOTAL PHOSPHORUS IN RIVERS BASED ON ATTENTION MECHANISM OF TEMPORAL CONVOLUTIONAL NETWORKS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(5): 163-171. doi: 10.13205/j.hjgc.202305022
    [4]PAN Siyu, ZHANG Meiling. PREDICTION OF CARBON DIOXIDE EMISSION IN GANSU PROVINCE BASED ON BP NEURAL NETWORK AND ITS INFLUENCING FACTORS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(7): 61-68,85. doi: 10.13205/j.hjgc.202307009
    [5]YU Feng, WANG Kejia, ZHANG Wenlong, LI Yi. PREDICTION OF COAGULANT DOSAGE FOR IN-SITU TURBIDITY CONTROL IN WATER ECOLOGICAL RESTORATION BASED ON BP NEURAL NETWORK OPTIMIZED BY GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(4): 154-163. doi: 10.13205/j.hjgc.202304022
    [6]XIE Wei, XU Jiao, LIN Zhiguo, YAN Di, ZHANG Yinglei. RESEARCH ON REAL-TIME SOURCE APPORTIONMENT METHOD OF VOCs BASED ON BP NEURAL NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(12): 231-238. doi: 10.13205/j.hjgc.202212031
    [7]GUO Zirui, CHEN Zhiqiang, CHI Riguang, SHEN Aihua. PREDICTION OF POLYHYDROXYALKANOATE (PHA) PRODUCTION UTILIZING FOOD WASTE BASED ON GA-BP NEURAL NETWORK METHOD[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(4): 166-173. doi: 10.13205/j.hjgc.202204024
    [8]YU Shen-ting, LIU Ping. LONG SHORT-TERM MEMORY-CONVOLUTION NEURAL NETWORK (LSTM-CNN) FOR PREDICTION OF PM2.5 CONCENTRATION IN BEIJING[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(6): 176-180,66. doi: 10.13205/j.hjgc.202006029
    [9]LIANG Tao, XIE Gao-feng, MI Da-bin, JIANG Wen. PREDICTION OF PM10 CONCENTRATION BASED ON CEEMDAN-SE AND LSTM NEURAL NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 107-113. doi: 10.13205/j.hjgc.202002015
    [13]Ren Jinxia Yu Zhiwu You Xin, . MODEL FOR WATER QUALITY EVALUATION BASED ON WAVELET NEURAL NETWORK OF ADAPTIVE GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(5): 144-148. doi: 10.13205/j.hjgc.201505031
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(6)

    1. 张亮，杨博文，刘宇衡，张雨，高瑜，李佳诚，李俊辰，林斯杰. 基于机器视觉的生化池监测技术. 环境工程. 2025(03): 1-10 . 本站查看
    2. 刘志，高东明. 不同深度学习模型在餐厨垃圾类型识别中的应用与比较. 环境工程. 2024(03): 254-260 . 本站查看
    3. 冯丁，刘晶静，马文丹，刘玉学，杨尘，张萌萌. 基于机器学习的生物炭吸附重金属建模研究进展. 工业水处理. 2024(12): 1-11 .
    4. 王文胜，年诚旭，张超，阎如鹏，吴鑫全，张歆博. 基于YOLO v5模型的非住宅区自动垃圾分类箱设计. 环境工程. 2022(03): 159-165 . 本站查看
    5. 李长江，余海涛，李官星，李玥洋，谭雯文. 基于SqueezeNet-Tiny的可回收垃圾智能垃圾桶设计及实现. 现代信息科技. 2022(17): 75-77 .
    6. 亢红波，蔡学瑞，杨亮，周倩倩. 一种智能垃圾分类装置设计. 西安邮电大学学报. 2022(05): 60-66 .

    Other cited types(5)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-04051015202530
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 9.4 %FULLTEXT: 9.4 %META: 86.9 %META: 86.9 %PDF: 3.6 %PDF: 3.6 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 17.1 %其他: 17.1 %其他: 1.1 %其他: 1.1 %China: 0.6 %China: 0.6 %Howard: 0.2 %Howard: 0.2 %上海: 8.1 %上海: 8.1 %东莞: 4.3 %东莞: 4.3 %临汾: 0.2 %临汾: 0.2 %乌鲁木齐: 0.6 %乌鲁木齐: 0.6 %亚特兰大: 0.2 %亚特兰大: 0.2 %伦敦: 0.2 %伦敦: 0.2 %佛山: 1.3 %佛山: 1.3 %保定: 1.9 %保定: 1.9 %北京: 3.4 %北京: 3.4 %十堰: 0.2 %十堰: 0.2 %南京: 1.1 %南京: 1.1 %台州: 1.5 %台州: 1.5 %合肥: 0.6 %合肥: 0.6 %呼和浩特: 0.2 %呼和浩特: 0.2 %和田: 0.2 %和田: 0.2 %哈尔滨: 0.2 %哈尔滨: 0.2 %嘉兴: 0.6 %嘉兴: 0.6 %大同: 0.2 %大同: 0.2 %大连: 1.7 %大连: 1.7 %天津: 2.1 %天津: 2.1 %太原: 0.2 %太原: 0.2 %安大略: 0.2 %安大略: 0.2 %宜春: 0.2 %宜春: 0.2 %宣城: 0.2 %宣城: 0.2 %密蘇里城: 0.4 %密蘇里城: 0.4 %常德: 0.6 %常德: 0.6 %广州: 2.4 %广州: 2.4 %张家口: 0.2 %张家口: 0.2 %意法半: 0.2 %意法半: 0.2 %成都: 0.6 %成都: 0.6 %扬州: 0.9 %扬州: 0.9 %无锡: 0.2 %无锡: 0.2 %昆明: 1.1 %昆明: 1.1 %晋城: 0.4 %晋城: 0.4 %朝阳: 0.2 %朝阳: 0.2 %杭州: 3.2 %杭州: 3.2 %杰克逊维尔: 0.2 %杰克逊维尔: 0.2 %桂林: 0.2 %桂林: 0.2 %武汉: 1.1 %武汉: 1.1 %汕头: 0.2 %汕头: 0.2 %沈阳: 0.4 %沈阳: 0.4 %泰安: 0.2 %泰安: 0.2 %洛杉矶: 0.2 %洛杉矶: 0.2 %济南: 0.6 %济南: 0.6 %深圳: 0.2 %深圳: 0.2 %温州: 0.4 %温州: 0.4 %湖州: 0.9 %湖州: 0.9 %漯河: 2.6 %漯河: 2.6 %濮阳: 0.2 %濮阳: 0.2 %焦作: 0.4 %焦作: 0.4 %石家庄: 0.2 %石家庄: 0.2 %福州: 0.2 %福州: 0.2 %绥化: 0.4 %绥化: 0.4 %芒廷维尤: 5.8 %芒廷维尤: 5.8 %芝加哥: 1.1 %芝加哥: 1.1 %衡水: 2.1 %衡水: 2.1 %衡阳: 0.2 %衡阳: 0.2 %西宁: 14.3 %西宁: 14.3 %西安: 0.2 %西安: 0.2 %贵阳: 0.6 %贵阳: 0.6 %运城: 1.7 %运城: 1.7 %遵义: 0.2 %遵义: 0.2 %邯郸: 0.2 %邯郸: 0.2 %郑州: 0.9 %郑州: 0.9 %鄂州: 0.6 %鄂州: 0.6 %重庆: 1.1 %重庆: 1.1 %金华: 0.2 %金华: 0.2 %长沙: 1.9 %长沙: 1.9 %青岛: 0.4 %青岛: 0.4 %其他其他ChinaHoward上海东莞临汾乌鲁木齐亚特兰大伦敦佛山保定北京十堰南京台州合肥呼和浩特和田哈尔滨嘉兴大同大连天津太原安大略宜春宣城密蘇里城常德广州张家口意法半成都扬州无锡昆明晋城朝阳杭州杰克逊维尔桂林武汉汕头沈阳泰安洛杉矶济南深圳温州湖州漯河濮阳焦作石家庄福州绥化芒廷维尤芝加哥衡水衡阳西宁西安贵阳运城遵义邯郸郑州鄂州重庆金华长沙青岛

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (318) PDF downloads(18) Cited by(11)
    Proportional views
    Related

    Journal Online

    Authors' Center

    Links

    Copyright © 《工业建筑》杂志社有限公司 京ICP备11033253号-1

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return