IES87197Y1 - System and method for diagnosing state fault of desulfurization and denitration circulating pump - Google Patents

System and method for diagnosing state fault of desulfurization and denitration circulating pump

Info

Publication number
IES87197Y1
IES87197Y1 IE20200193U IE20200193U IES87197Y1 IE S87197 Y1 IES87197 Y1 IE S87197Y1 IE 20200193 U IE20200193 U IE 20200193U IE 20200193 U IE20200193 U IE 20200193U IE S87197 Y1 IES87197 Y1 IE S87197Y1
Authority
IE
Ireland
Prior art keywords
master controller
data
desulfurization
circulating pump
neural network
Prior art date
Application number
IE20200193U
Other versions
IE20200193U1 (en
Inventor
Ma Wanzheng
Li Zhongfang
Yan Hao
Xiao Xin
Li Xiaoliang
Zhang Chunyu
Li Qiang
Qiao Yinhu
Original Assignee
Univ Anhui Science & Tech
Univ Hefei Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Anhui Science & Tech, Univ Hefei Technology filed Critical Univ Anhui Science & Tech
Publication of IES87197Y1 publication Critical patent/IES87197Y1/en
Publication of IE20200193U1 publication Critical patent/IE20200193U1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B51/00—Testing machines, pumps, or pumping installations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Treating Waste Gases (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

Disclosed is a system and a method for diagnosing the state fault of a desulfurization and denitration circulating pump, including an input layer, a hidden layer, an output layer and a data acquisition system, wherein a data input end of the data acquisition system is connected with data output ends of a distributed pump unit monitoring system and a power plant-level real-time monitoring system, respectively; the hidden layer includes a fault diagnosis system, the fault diagnosis system includes a BP neural network server and a master controller, the BP neural network server electrically inputs to connect with the master controller, the master controller electrically outputs to connect with the output module, and the master controller electrically inputs to connect with the input module; the output of the BP neural network server trained from a large amount of operation data of the power plant is used as a fitness function of the follow-up intelligent optimization algorithm to incorporate two advanced algorithm means, so that the current problems of inaccurate fault diagnosis data, false results, poor universality of the optimization algorithm, insufficient real-time performance, and the like in the field of the desulfurization and denitration circulating pump are solved cooperatively.
IE20200193U 2020-05-22 2020-09-01 System and method for diagnosing state fault of desulfurization and denitration circulating pump IE20200193U1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010443335.6A CN111639742A (en) 2020-05-22 2020-05-22 System and method for diagnosing state fault of desulfurization and denitrification circulating pump

Publications (2)

Publication Number Publication Date
IES87197Y1 true IES87197Y1 (en) 2021-01-20
IE20200193U1 IE20200193U1 (en) 2021-01-20

Family

ID=72333268

Family Applications (1)

Application Number Title Priority Date Filing Date
IE20200193U IE20200193U1 (en) 2020-05-22 2020-09-01 System and method for diagnosing state fault of desulfurization and denitration circulating pump

Country Status (2)

Country Link
CN (1) CN111639742A (en)
IE (1) IE20200193U1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117434910B (en) * 2023-12-20 2024-03-01 沧州中铁装备制造材料有限公司 Intelligent operation control system of power plant denitration agent supply pump based on Internet of things

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103400231B (en) * 2013-08-12 2015-07-01 中国矿业大学 Equipment health management system and database modeling method thereof
CN103759290A (en) * 2014-01-16 2014-04-30 广东电网公司电力科学研究院 Large coal-fired unit online monitoring and optimal control system and implementation method thereof
CN105202571B (en) * 2015-10-20 2016-10-19 国家电网公司 A kind of thermal power generation unit main vapour pressure optimal control method
CN105298823A (en) * 2015-11-23 2016-02-03 武汉大学 Large pump unit on-line monitoring and diagnosis system
CN107276816B (en) * 2016-11-03 2019-06-25 厦门嵘拓物联科技有限公司 A kind of long-range monitoring and fault diagnosis system and method for diagnosing faults based on cloud service
CN109886471A (en) * 2019-01-22 2019-06-14 中国大唐集团科学技术研究院有限公司火力发电技术研究院 Fired power generating unit load distribution method based on neural network and intelligent optimization algorithm
CN110766143A (en) * 2019-10-31 2020-02-07 上海埃威航空电子有限公司 Equipment fault intelligent diagnosis method based on artificial neural network

Also Published As

Publication number Publication date
IE20200193U1 (en) 2021-01-20
CN111639742A (en) 2020-09-08

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