CN110033102A - A kind of huge hydroelectric power plant has the intelligent diagnosing method and expert system of learning functionality - Google Patents
A kind of huge hydroelectric power plant has the intelligent diagnosing method and expert system of learning functionality Download PDFInfo
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- CN110033102A CN110033102A CN201910219497.9A CN201910219497A CN110033102A CN 110033102 A CN110033102 A CN 110033102A CN 201910219497 A CN201910219497 A CN 201910219497A CN 110033102 A CN110033102 A CN 110033102A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses intelligent diagnosing methods and expert system that a kind of huge hydroelectric power plant has learning functionality, integrate automated system data first, obtain whole factory automation system data and re-start integration, form power plant and produce large database concept；Then experts database model is established, the Stakeout & Homicide Preservation Strategy of experts database is set；Last experts database diagnosis carries out processing output Diagnostic Strategy, O&M in-situ processing to the data in large database concept by experts database model, and operation maintenance personnel is disposed scene according to the experts database Diagnostic Strategy of acquisition.Method and system provided by the invention forms intelligent diagnostics experts database by carrying out processing to data, to form overall strategy output, operation maintenance personnel carries out site disposal according to the experts database tutorial message of acquisition, promote the inline diagnosis of hydroelectric power plant's running equipment operating condition and the repair based on condition of component ability of maintenance, it is horizontal to the operation management for promoting power station, it is simultaneously power plant safety, economical operation, the intelligent uses such as master status maintenance decision support provide platform.
Description
Technical field
The present invention relates to hydroelectric power plant Intelligent Diagnosis Technology field, especially a kind of huge hydroelectric power plant has the intelligence of learning functionality
It can diagnostic expert system.
Background technique
Existing rank traditional approach by rule of thumb, sense organ or single alarm, signal measured value judge equipment operation condition, work as generation
Personnel are needed when a certain failure, and rule of thumb judgement is handled, this is more demanding to personnel's technical ability, experience level, and exists because of personnel
Level of skill difference cause equipment operation maintenance, troubleshooting not in time, incorrect lead to failure or fault spread.
As in recent years information-based reaches its maturity, the generation information technologies such as cloud computing, big data, artificial intelligence it is extensive
With and smart grid all-round construction and intellectual technology high speed development, traditional hydroelectric power plant is complete to intelligent hydroelectric power plant direction
Face development has been inexorable trend.
Domestic major Hydropower Enterprise ' is all exploring intellectual analysis, repair based on condition of component maintenance strategy based on device diagnostic, purpose
It is exactly in order to further enhance the control ability to equipment.
Summary of the invention
An object of the present invention is to propose that a kind of huge hydroelectric power plant has the intelligent diagnosing method of learning functionality；The present invention
The second purpose be to propose that a kind of huge hydroelectric power plant has the Intelligent Diagnosis Expert System of learning functionality.
An object of the present invention is achieved through the following technical solutions:
A kind of huge hydroelectric power plant provided by the invention has the intelligent diagnosing method of learning functionality, comprising the following steps:
Automated system data are integrated, whole factory automation system data is obtained and re-starts integration, it is big to form power plant's production
Database；
Experts database model is established, the Stakeout & Homicide Preservation Strategy of experts database is set；
Experts database diagnosis carries out processing output Diagnostic Strategy to the data in large database concept by experts database model.
O&M in-situ processing, operation maintenance personnel are disposed scene according to the experts database Diagnostic Strategy of acquisition.
Further, the automated system data of integrating are for being acquired the data of sub- automated system, the son
Automated system includes computer supervisory control system, water regime monitoring system, electric energy monitoring system, environmental monitoring system, state prison
Examining system, reactor monitoring system, main transformer on-line monitoring system, fault wave recording device monitoring system, prudential sub-station monitor system,
And collected data are input to visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system, teams and groups
In standardization management platform, power plant safety management information system, it is shared to be suitable for being formed data of information system.
Further, the Stakeout & Homicide Preservation Strategy of the experts database model is to utilize iterative learning control method according to the following steps
Come what is realized:
The control information amendment definite value input that preceding primary or preceding n times are measured, so that alarm setting value gradually approaches rationally；Root
Successive ignition is carried out according to strategy, and has self study and artificial modified function, repeatedly with this, intelligence is formed by multisystem strategy
It can operational system basic scheme library.
The second object of the present invention is to what is be achieved through the following technical solutions:
The present invention also provides the Intelligent Diagnosis Expert Systems that a kind of huge hydroelectric power plant has learning functionality, including
Automated system Data Integration unit obtains whole factory automation system data and re-starts integration, it is raw to form power plant
Produce large database concept；
Experts database model is established, the Stakeout & Homicide Preservation Strategy of experts database is set；
Experts database diagnosis unit carries out processing output Diagnostic Strategy to the data in large database concept by experts database model.
O&M in-situ processing center, operation maintenance personnel are disposed scene according to the experts database Diagnostic Strategy of acquisition.
Further, the automated system Data Integration unit is acquired the data of sub- automated system, the son
Automated system includes computer supervisory control system, water regime monitoring system, electric energy monitoring system, environmental monitoring system, state prison
Examining system, reactor monitoring system, main transformer on-line monitoring system, fault wave recording device monitoring system, prudential sub-station monitor system,
And collected data are input to visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system, teams and groups
In standardization management platform, power plant safety management information system, it is shared to be suitable for being formed data of information system.
Further, the Stakeout & Homicide Preservation Strategy of the experts database model is to utilize iterative learning control method according to the following steps
Come what is realized:
The control information amendment definite value input that preceding primary or preceding n times are measured, so that alarm setting value gradually approaches rationally；Root
Successive ignition is carried out according to strategy, and has self study and artificial modified function, repeatedly with this, intelligence is formed by multisystem strategy
It can operational system basic scheme library.
By adopting the above-described technical solution, the present invention has the advantage that:
Huge hydroelectric power plant provided by the invention has the intelligent diagnosing method and expert system of learning functionality, carries out to data
The means such as screening, conversion, association analysis, data statistics, model management, machine learning, deep learning, early warning alarm, form intelligence
Energy diagnostician library carries out process configuration, combination to experts database, to form overall strategy output, operation maintenance personnel is according to acquisition
Experts database tutorial message carry out site disposal, promote the inline diagnosis of hydroelectric power plant's running equipment operating condition and repair based on condition of component and safeguard energy
Power, it is horizontal to the operation management for promoting power station, it realizes " unattended " comprehensively, is further improved and is promoted hydroelectric power plant's production management
Mode is of great significance.It is simultaneously power plant safety, economical operation, the intelligent uses such as master status maintenance decision support provide
Platform.
Other advantages, target and feature of the invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, Huo Zheke
To be instructed from the practice of the present invention.Target of the invention and other advantages can be realized by following specification and
It obtains.
Detailed description of the invention
Detailed description of the invention of the invention is as follows.
Fig. 1 is the Intelligent Diagnosis Expert System model that huge hydroelectric power plant has learning functionality.
Fig. 2 is building Data Analysis Services platform.
Fig. 3 is intelligent diagnostics expert's tying composition that huge hydroelectric power plant has learning functionality.
Specific embodiment
Present invention will be further explained below with reference to the attached drawings and examples.
Huge hydroelectric power plant provided in this embodiment has the Intelligent Diagnosis Expert System of learning functionality, by carrying out to data
The means such as screening, conversion, association analysis, data statistics, model management, machine learning, deep learning, early warning alarm, form intelligence
Energy diagnostician library carries out process configuration, combination to experts database, to form overall strategy output, operation maintenance personnel is according to acquisition
Experts database tutorial message carry out site disposal, Intelligent Diagnosis Expert System provided in this embodiment includes automated system data
Integral unit establishes experts database model, experts database diagnosis unit and O&M in-situ processing center；
The automated system Data Integration unit obtains whole factory automation system data and re-starts integration, forms electricity
Factory produces large database concept；It is described to establish experts database model, the Stakeout & Homicide Preservation Strategy of experts database is set；The experts database diagnosis is single
Member carries out processing output Diagnostic Strategy to the data in large database concept by experts database model；O&M in-situ processing center,
Operation maintenance personnel is disposed scene according to the experts database Diagnostic Strategy of acquisition.
The automated system Data Integration unit is acquired the data of sub- automated system, the sub- Department of Automation
System includes computer supervisory control system, water regime monitoring system, electric energy monitoring system, environmental monitoring system, condition monitoring system, electricity
Anti- device monitoring system, main transformer on-line monitoring system, fault wave recording device monitoring system, prudential sub-station monitor system, and will acquisition
To data be input to visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system, teams and groups standardization pipe
In platform, power plant safety management information system, it is shared to be suitable for being formed data of information system.
Automated system Data Integration unit provided in this embodiment, acquisition whole factory automation system data re-start whole
It closes, forms power plant's production big data analysis center and historical data is analyzed and is located using big data analysis software and strategy
Reason forms the creation data analysis center of level of factory (river basin level).System uses large database platform, using the number of the universal standard
According to interface mode, each subsystem real time data is extracted, transmitted, stored, processed, is counted, using data modeling, using at
Ripe perfect data statistics model stores creation data, is counted and early warning, thus for production managements at different levels and data point
Analysis provides data basis.Database using standard, uniformly, common database form, have expansible portability.Database
The polynary isomeric data of acquisition is merged and has phase mutual verifying function and data quality management function, for abnormal data
It can carry out automatically " screening ".
Diagnostician library provided in this embodiment use structuring software design approach, with voe power plant operating standard,
Maintenance procedure, upkeep operation guiding book are data basis, are instructed using emergency disposal card, accident prediction, defect dictionary as expert
Opinion carries out measuring point with a variety of data analysing methods such as association analysis, trend analysis, variance analysis, numerical characteristic analyses
Laterally, longitudinal comparative analysis, gos deep into mining data potential value, establishes device diagnostic experts database.
Data after iterative learning provided in this embodiment collects for big data and experts database carry out strategy setting, utilize
Iterative learning control method, by the preceding primary or preceding control information amendment definite value input measured several times, so that intelligent diagnostics approach
Rationally.Successive ignition is carried out according to strategy, and has self study and artificial modified function and repeatedly with this continues to optimize intelligence
Diagnostic Strategy forms the intelligent diagnostics experts database with learning functionality by multisystem strategy.
The research for carrying out the storage of hydroelectric power plant's production big data and analysis and application system building etc., realizes great be directed to
Property, practicability intelligent diagnostics experts database, point profession formulates intelligent early-warning plan to the operation data of key equipment and important equipment
Slightly, fault alarm threshold value and countermeasure are studied.According to operating standard, upkeep operation guiding book, maintenance procedure, operation conditions,
Defect processing experience etc. determines the chife failure models of every class equipment, and power plant's emergency disposal card, prediction scheme, defect dictionary case are put
Enter in experts database, can quickly form far when occurring abnormal, operation maintenance personnel is instructed according to the experts database of acquisition
Information carries out site disposal.The inline diagnosis of hydroelectric power plant's running equipment operating condition and the repair based on condition of component ability of maintenance are promoted, to promotion power station
Operation management it is horizontal, realize " unattended " comprehensively, be further improved and promoted hydroelectric power plant's manufacturing management system have it is important
Meaning, while being power plant safety, economical operation, the intelligent uses such as master status maintenance decision support provide platform.
Fig. 1 is the Intelligent Diagnosis Expert System model that huge hydroelectric power plant has learning functionality, and system is to full factory's production run
Equipment and resource carry out unified Modeling, realize the object data Organization And Management based on unified model, data support it is distributed or
Centralized management is included mainly two large divisions, is designed using the principle of modularization, componentialized framework and layer distributed.
Fig. 2 is that there is the Intelligent Diagnosis Expert System of learning functionality to construct Data Analysis Services platform for huge hydroelectric power plant, respectively
Resource consolidation between automated system uses the data-interface mode of the universal standard, carry out to each subsystem real time data
It extracts, transmission, processing, statistics, storage, " quasi real time " data center of level of factory (collection is regimental) is formed, to manage for productions at different levels
Reason and data analysis provide data basis.
It further include data supporting system for analysis and decision making in diagnostician library provided in this embodiment, system platform (webpage/
Client) novel professional graphic technology enriched by picture, report, curve, list etc., shape is provided for enterprise users at different levels
As intuitive data display interface, the function of assistant analysis and decision is realized in management easy to produce and data analysis.
Data acquisition and processing (DAP) therein is as follows: system acquisition computer supervisory control system, regimen, electric flux, environmental monitoring,
The data such as condition monitoring system, reactor, main transformer on-line monitoring, fault wave recording device, prudential sub-station, pass through communication server string
Mouthful or network carry out data acquisition, and with visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system,
The data of information system such as teams and groups' standardization management platform, power plant safety management information system are shared.While it in data acquisition and adopting
System has data quality management function after collection, can be screened automatically for abnormal data.
Fig. 3 is the Intelligent Diagnosis Expert System structure chart that huge hydroelectric power plant has learning functionality, and multiple data collectors are adopted
Collect a data for word automated system and each maintenance work station is transferred to by interchanger, in conjunction with historical data backup server and deposits
It stores up the related data in disk array and carries out Data Analysis Services, such as carry out multiple information iteration and self study, and be directed to and converge
Data after collection are carried out strategy setting and are repaired the preceding primary or preceding control information measured several times using iterative learning control method
Positive definite value input, so that alarm setting value gradually approaches rationally.Successive ignition is carried out according to strategy, and has self study and artificially repairs
Positive function repeatedly with this forms intelligent operational system basic scheme library by multisystem strategy.
Implementation strategy management in user terminal and human-computer interaction server is uploaded to finally by Web server, according to electricity
The strategy of factory's design studies carries out process configuration, combination to basic scheme library.Detailed process can pull, layout, reuse etc., letter
Clean clear displaying algorithm flow provides flexible task schedule service strategy, transparent big data based on Time And Event, any
Personnel can go up hand operation.Finally show that overall strategy is exported by workflow management.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Protection scope in.
Claims (6)
1. the intelligent diagnosing method that a kind of huge hydroelectric power plant has learning functionality, it is characterised in that: the following steps are included:
Automated system data are integrated, whole factory automation system data is obtained and re-starts integration, power plant is formed and produces big data
Library；
Experts database model is established, the Stakeout & Homicide Preservation Strategy of experts database is set；
Experts database diagnosis carries out processing output Diagnostic Strategy to the data in large database concept by experts database model.
O&M in-situ processing, operation maintenance personnel are disposed scene according to the experts database Diagnostic Strategy of acquisition.
2. the intelligent diagnosing method that huge hydroelectric power plant as described in claim 1 has learning functionality, it is characterised in that: described whole
Automated system data are closed for being acquired to the data of sub- automated system, the sub- automated system includes computer prison
Control system, water regime monitoring system, electric energy monitoring system, environmental monitoring system, condition monitoring system, reactor monitoring system,
Main transformer on-line monitoring system, fault wave recording device monitoring system, prudential sub-station monitor system, and collected data are input to
Visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system, teams and groups' standardization management platform, power plant safety
In management information system, it is shared to be suitable for being formed data of information system.
3. the intelligent diagnosing method that huge hydroelectric power plant as described in claim 1 has learning functionality, it is characterised in that: described special
The Stakeout & Homicide Preservation Strategy of family's library model is realized according to the following steps using iterative learning control method:
The control information amendment definite value input that preceding primary or preceding n times are measured, so that alarm setting value gradually approaches rationally；According to plan
Successive ignition is slightly carried out, and has self study and artificial modified function and intelligent fortune repeatedly with this is formed by multisystem strategy
Maintain system basic scheme library.
4. the Intelligent Diagnosis Expert System that a kind of huge hydroelectric power plant has learning functionality, it is characterised in that: including
Automated system Data Integration unit obtains whole factory automation system data and re-starts integration, and it is big to form power plant's production
Database；
Experts database model is established, the Stakeout & Homicide Preservation Strategy of experts database is set；
Experts database diagnosis unit carries out processing output Diagnostic Strategy to the data in large database concept by experts database model.
O&M in-situ processing center, operation maintenance personnel are disposed scene according to the experts database Diagnostic Strategy of acquisition.
5. the Intelligent Diagnosis Expert System that huge hydroelectric power plant as claimed in claim 4 has learning functionality, it is characterised in that: institute
It states automated system Data Integration unit to be acquired the data of sub- automated system, the sub- automated system includes calculating
Machine monitoring system, water regime monitoring system, electric energy monitoring system, environmental monitoring system, condition monitoring system, reactor monitoring system
System, main transformer on-line monitoring system, fault wave recording device monitoring system, prudential sub-station monitor system, and collected data are defeated
Enter to visual intelligent cruising inspection system, SAP inspection standard, intelligent warehouse management system, teams and groups' standardization management platform, power plant
In Safeguard Management Information System, it is shared to be suitable for being formed data of information system.
6. the Intelligent Diagnosis Expert System that huge hydroelectric power plant as claimed in claim 4 has learning functionality, it is characterised in that: institute
It states the Stakeout & Homicide Preservation Strategy of experts database model and is realized according to the following steps using iterative learning control method:
The control information amendment definite value input that preceding primary or preceding n times are measured, so that alarm setting value gradually approaches rationally；According to plan
Successive ignition is slightly carried out, and has self study and artificial modified function and intelligent fortune repeatedly with this is formed by multisystem strategy
Maintain system basic scheme library.
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| CN201910219497.9A CN110033102A (en) | 2019-03-21 | 2019-03-21 | A kind of huge hydroelectric power plant has the intelligent diagnosing method and expert system of learning functionality |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111077857A (en) * | 2019-11-29 | 2020-04-28 | 华电电力科学研究院有限公司 | Power plant equipment management platform system and equipment management method |
| CN111931561A (en) * | 2020-06-24 | 2020-11-13 | 深圳市法本信息技术股份有限公司 | Management method, system and agent equipment of heterogeneous RPA robot |
| CN113807808A (en) * | 2021-08-17 | 2021-12-17 | 华能澜沧江水电股份有限公司 | Basin centralized control management and control integrated platform |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105509728A (en) * | 2015-11-02 | 2016-04-20 | 湖南红太阳新能源科技有限公司 | Photovoltaic power station failure equipment navigation method and system |
| CN108663980A (en) * | 2018-06-11 | 2018-10-16 | 哈尔滨锅炉厂有限责任公司 | Station boiler remote online diagnostic system and its inline diagnosis method |
| CN108681747A (en) * | 2018-05-11 | 2018-10-19 | 武汉理工大学 | Rotary machinery fault diagnosis based on deep learning and condition monitoring system and method |
-
2019
- 2019-03-21 CN CN201910219497.9A patent/CN110033102A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105509728A (en) * | 2015-11-02 | 2016-04-20 | 湖南红太阳新能源科技有限公司 | Photovoltaic power station failure equipment navigation method and system |
| CN108681747A (en) * | 2018-05-11 | 2018-10-19 | 武汉理工大学 | Rotary machinery fault diagnosis based on deep learning and condition monitoring system and method |
| CN108663980A (en) * | 2018-06-11 | 2018-10-16 | 哈尔滨锅炉厂有限责任公司 | Station boiler remote online diagnostic system and its inline diagnosis method |
Non-Patent Citations (1)
| Title |
|---|
| 潘伟峰等: "水电厂主设备状态检修决策支持系统的设计与开发", 《水电与抽水蓄能》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111077857A (en) * | 2019-11-29 | 2020-04-28 | 华电电力科学研究院有限公司 | Power plant equipment management platform system and equipment management method |
| CN111931561A (en) * | 2020-06-24 | 2020-11-13 | 深圳市法本信息技术股份有限公司 | Management method, system and agent equipment of heterogeneous RPA robot |
| CN113807808A (en) * | 2021-08-17 | 2021-12-17 | 华能澜沧江水电股份有限公司 | Basin centralized control management and control integrated platform |
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