CN109407634A - A kind of electricity power group's Hydropower Unit remote diagnosis platform service framework - Google Patents

A kind of electricity power group's Hydropower Unit remote diagnosis platform service framework Download PDF

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Publication number
CN109407634A
CN109407634A CN201811264463.3A CN201811264463A CN109407634A CN 109407634 A CN109407634 A CN 109407634A CN 201811264463 A CN201811264463 A CN 201811264463A CN 109407634 A CN109407634 A CN 109407634A
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CN
China
Prior art keywords
maintenance
remote diagnosis
unit
electricity power
platform service
Prior art date
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Pending
Application number
CN201811264463.3A
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Chinese (zh)
Inventor
王磊
曹威
白光辉
王静
何勇
王照福
陈永记
张太衡
张恒
施国庆
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Huadian Electric Power Research Institute Co Ltd
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Huadian Electric Power Research Institute Co Ltd
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Application filed by Huadian Electric Power Research Institute Co Ltd filed Critical Huadian Electric Power Research Institute Co Ltd
Priority to CN201811264463.3A priority Critical patent/CN109407634A/en
Publication of CN109407634A publication Critical patent/CN109407634A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/41845Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The present invention relates to a kind of electricity power group's Hydropower Unit remote diagnosis platform service frameworks, belong to technical field of hydroelectric generation.To realize interconnecting between electricity power group's different business, different management levels, plan as a whole the remote diagnosis work for carrying out Hydropower Unit.Diagnostic platform includes that level of factory, region class sum aggregate are regimental in the present invention.Business structure includes comprehensive display, status monitoring, Energy Efficiency Analysis, fault diagnosis, running optimizatin and maintenance decision business.Level of factory stresses to realize data acquisition, calculates analysis and monitoring, diagnosing function, and data and analysis result are synchronized to region class;Region class stresses to realize Statistical Comparison and decision examination & approval function, and it is regimental that data and result are synchronized to collection;Collect regimental to stress to realize on the basis of region class is applied and mark is examined and supervised and guided function.Be able to achieve electricity power group's Hydropower Unit remote diagnosis different business based on the present invention, different management interlayer interconnects, provide technical support for the operational management of unit, repair based on condition of component.

Description

A kind of electricity power group's Hydropower Unit remote diagnosis platform service framework
Technical field
The present invention relates to a kind of electricity power group's Hydropower Unit remote diagnosis platform service frameworks, belong to hydraulic power generation technology neck Domain.
Background technique
With hydropower technology and informationization, the fast development of digitizing technique, new technology is constantly answered water power field With water power operational management system is also being continuously improved, and is gradually carried out the operational mode of remote control, few people's maintenance, is realized and set Long-range control, the long-range monitoring of standby Hydropower Unit, and combination failure diagnostic techniques, carry out the work of equipment remote diagnosis, such as apply Number be 201510718785.0 Chinese patent.Hydropower Unit Management for repair is also being continuously improved simultaneously, carries out equipment shape State maintenance actively develops the analysis of equipment degradation trend and efficiency is commented on the basis of specification carries out maintenance and technical supervision Estimate, bonding apparatus operation characteristic, cost factor of making overall plans, rationally determines maintenance mode, period.
Production management work for large-scale electricity power group's Hydropower Unit under new model specifically includes the state prison of unit The business such as survey, Energy Efficiency Analysis, fault diagnosis, running optimizatin, maintenance decision, while having further related to power plant's (station), region company, collection The different management level of company, group.To solve interconnecting between electricity power group's different business, different management levels, plan as a whole to carry out The remote diagnosis of Hydropower Unit works, it would be highly desirable to a kind of electricity power group's grade hydroelectric facility remote diagnosis platform service framework.
Summary of the invention
It is an object of the invention to overcome the above deficiencies in the existing technologies, and provide a kind of electricity power group's hydroelectric machine Group remote diagnosis platform service framework realizes that electricity power group's Hydropower Unit remote diagnosis is not of the same trade or business based on this platform service framework Business, difference manage interconnecting for interlayer, provide technical support for the operational management of unit, repair based on condition of component.
Technical solution used by the present invention solves the above problems is: a kind of electricity power group's Hydropower Unit remote diagnosis platform Business structure, which is characterized in that electricity power group's Hydropower Unit diagnostic platform is divided into three-level first, is level of factory, region respectively Grade sum aggregate is regimental.
Business structure includes comprehensive display, status monitoring, Energy Efficiency Analysis, fault diagnosis, running optimizatin and maintenance decision 6 Item business.
Level of factory stresses to realize data acquisition, calculates analysis and monitoring, diagnosing function, and data and analysis result are synchronized to area Domain grade;Region class stresses to realize Statistical Comparison and decision examination & approval function, and it is regimental that data and result are synchronized to collection;Collect regimental to stress On the basis of region class application, realizes and mark is examined and supervised and guided function.
Data acquisition includes access power station computer monitoring, equipment state on-line monitoring, water and electricity rent, electric flux and surpasses The unit online data of acoustic wave flow meter systems and the operation and maintenance of typing unit, detection test, maintenance technological transformation record and electricity Station equipment facility basic information off-line data.
Comprehensive display includes that water power overview, power station distribution, operating index and protection act stopping signal are shown;Operation refers to Mark includes generated energy, water consumption rate, accumulation of energy, water level, major flood season equivalent available factor, disorderly closedown number and downtime.
Status monitoring includes that operating states of the units is shown, the evaluation of unit health status and displaying are acted in the protection of shutdown Signal condition is shown;Operating states of the units is divided into 4 kinds of power generation, shutdown, maintenance and failure states;Unit health status is divided into strong Health, attention, exception and dangerous 4 kinds of states.
Energy Efficiency Analysis includes that unit energy efficiency indexes are calculated and shown, the evaluation of unit energy efficiency state and displaying;Energy efficiency indexes packet Include unit efficiency, waterpower utilization rate, water consumption rate, guide vane water leakage ratio and diversion loss late;Energy efficiency state be divided into it is outstanding, good, in Deng and poor 4 kinds of states.
Fault diagnosis includes accident analysis, disorderly closedown judgement and fault database management.
Running optimizatin includes available mode, economic scene, the evaluation of running priority grade and shows;Available mode be divided into it is long-term, In short term, in short-term and unsuitable 4 kinds of states;Economic scene is divided into outstanding, good, medium and poor 4 kinds of states.
Maintenance decision includes that maintenance is suggested, maintenance plan, repair history inquiry;Maintenance suggests including overhaul, light maintenance, season Property maintenance and fault maintenance.
Compared with prior art, the present invention having the following advantages that and effect: Hydropower Unit diagnostic platform proposed by the present invention Business structure and combinations of services method solve electricity power group's Hydropower Unit remote diagnosis platform different application, different management interlayers Interconnect, can be realized the shared of information, and form the operation flow of regulation.By the framework, so that composite service has There is higher work efficiency and reliability.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of electricity power group's Hydropower Unit remote diagnosis platform service framework of the embodiment of the present invention.
Fig. 2 is the comprehensive display operation flow schematic diagram of the embodiment of the present invention.
Fig. 3 is the status monitoring operation flow schematic diagram of the embodiment of the present invention.
Fig. 4 is the Energy Efficiency Analysis operation flow schematic diagram of the embodiment of the present invention.
Fig. 5 is the fault diagnosis operation flow schematic diagram of the embodiment of the present invention.
Fig. 6 is the running optimizatin operation flow schematic diagram of the embodiment of the present invention.
Fig. 7 is the maintenance decision operation flow schematic diagram of the embodiment of the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawing and by embodiment, and following embodiment is to this hair Bright explanation and the invention is not limited to following embodiments.
Embodiment.
Referring to Fig. 1, a kind of electricity power group's Hydropower Unit remote diagnosis platform service framework, the diagnostic platform includes factory Grade, region class sum aggregate are regimental.
Business structure includes comprehensive display, status monitoring, Energy Efficiency Analysis, fault diagnosis, running optimizatin and maintenance decision 6 Item business.
Level of factory realizes data acquisition, calculates analysis and monitoring, diagnosing function, and data and analysis result are synchronized to region class; Region class realizes that Statistical Comparison and decision examine function, and it is regimental that data and result are synchronized to collection;Collect regimental in region class application On the basis of, it realizes and mark is examined and supervised and guided function.
Data acquisition includes access power station computer monitoring, equipment state on-line monitoring, water and electricity rent, electric flux and surpasses The unit online data of acoustic wave flow meter systems and the operation and maintenance of typing unit, detection test, maintenance technological transformation record and electricity Station equipment facility basic information off-line data.
Referring to fig. 2, the comprehensive display in the present embodiment includes that water power overview, power station distribution, operating index and protection are dynamic Make stopping signal displaying;Operating index includes that generated energy, water consumption rate, accumulation of energy, water level, major flood season equivalent available factor, failure are stopped Machine number and downtime.
Level of factory calculates unit operating index according to operation data, shows that power plant's overview, operating index, protection act shut down letter Number alarm.
Region class statistics, which calculates, has plant stand operating index under its command, and display area overview, power station distribution, operating index, protection are dynamic Make stopping signal alarm.
Collect regimental statistics calculating and have area operation index under its command, display area overview, power station distribution, operating index, protection are dynamic Make stopping signal alarm.
Referring to Fig. 3, the status monitoring in the present embodiment includes that operating states of the units is shown, the evaluation of unit health status and exhibition Show, the protection signal condition acted in shutdown is shown;Operating states of the units is divided into 4 kinds of power generation, shutdown, maintenance and failure states; Unit health status is divided into health, pays attention to, 4 kinds of states of exception and danger.
Level of factory evaluates unit health status according to on-line monitoring quantity of state and unit failure, according to operation data and Health status evaluation result shows Power Plant operating status, health status, movement stoppage protection signal condition.
Region class statistics, comparison, displaying have plant stand operating states of the units, health status, movement stoppage protection signal shape under its command State.
Collect it is regimental statistics, comparison, show have under its command region operating states of the units, health status, movement stoppage protection signal shape State.
Referring to fig. 4, the Energy Efficiency Analysis in the present embodiment includes that unit energy efficiency indexes calculate and show that unit energy efficiency state is commented Valence and displaying;Energy efficiency indexes include unit efficiency, waterpower utilization rate, water consumption rate, guide vane water leakage ratio and diversion loss late;Efficiency shape State is divided into outstanding, good, medium and poor 4 kinds of states.
Level of factory calculates unit energy efficiency indexes according to operation data, is evaluated according to energy efficiency indexes unit energy efficiency state, And show Power Plant energy efficiency indexes, energy efficiency state.
Region class statistics, comparison, displaying have plant stand unit energy efficiency indexes, energy efficiency state under its command.
Collect it is regimental statistics, comparison, show have region unit energy efficiency indexes, energy efficiency state under its command.
Referring to Fig. 5, the fault diagnosis in the present embodiment includes accident analysis, disorderly closedown judgement and fault database management.
Level of factory according to fault model and on-line monitoring quantity of state analysis unit whether failure and failure cause, and show, look into See that unit diagnoses fault;Judge that whether unit breaks down shutdown, shows, checks event of failure according to operation data;Pass through event Barrier depositary management reason is checked, is increased newly, deleting, modifying fault model.
Region level display, check, compare have under its command plant stand unit troubleshooting, disorderly closedown event.
Group's level display, check, compare have under its command region unit troubleshooting, disorderly closedown event.
Referring to Fig. 6, the running optimizatin in the present embodiment includes available mode, economic scene, the evaluation of running priority grade and exhibition Show;Available mode is divided into long-term, short-term, in short-term and unsuitable 4 kinds of states;Economic scene is divided into outstanding, good, medium and poor 4 Kind state.
Level of factory evaluates unit available mode according to unit health status, operation data, according to unit energy efficiency state, Rate for incorporation into the power network evaluates Unit Economic state, according to available mode, economic scene to the running priority of unit in factory, power plant Grade is ranked up evaluation, shows unit available mode, economic scene, running priority grade.
Region level display has plant stand unit available mode, economic scene, running priority grade under its command.
Group's level display has region unit available mode, economic scene, running priority grade under its command.
Referring to Fig. 7, the maintenance decision in the present embodiment includes that maintenance is suggested, maintenance plan, repair history inquiry;Maintenance is built View includes overhaul, light maintenance, seasonal maintenance and fault maintenance.
Level of factory proposes maintenance suggestion according to data unit operation, health status, energy efficiency state, unit failure and shows, root Suggest initiating maintenance plan, query history record of examination according to maintenance.
Region level display has plant stand unit maintenance suggestion under its command, audits maintenance plan, query history record of examination.
Group's level display has region unit maintenance suggestion under its command, audits maintenance plan, query history record of examination.
It is any to be familiar with although the present invention is disclosed as above with embodiment, its protection scope being not intended to limit the invention The technical staff of this technology changes and retouches made without departing from the spirit and scope of the invention, should belong to this hair Bright protection scope.

Claims (8)

1. a kind of electricity power group's Hydropower Unit remote diagnosis platform service framework, it is characterised in that: the diagnostic platform includes factory Grade, region class sum aggregate are regimental;The business structure include comprehensive display, status monitoring, Energy Efficiency Analysis, fault diagnosis, operation it is excellent Change and maintenance decision business;The level of factory realizes data acquisition, calculates analysis and monitoring, diagnosing function, and data and analysis are tied Fruit is synchronized to region class;The region class realizes that Statistical Comparison and decision examine function, and it is regimental that data and result are synchronized to collection; The collection is regimental on the basis of region class application, realizes and mark is examined and supervised and guided function.
2. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Data acquisition includes access power station computer monitoring, equipment state on-line monitoring, water and electricity rent, electric flux and ultrasonic flow The unit online data of meter systems and the operation and maintenance of typing unit, detection test, maintenance technological transformation record and power station equipment are set Apply basic information off-line data.
3. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Comprehensive display includes that water power overview, power station distribution, operating index and protection act stopping signal are shown;Operating index includes hair Electricity, water consumption rate, accumulation of energy, water level, major flood season equivalent available factor, disorderly closedown number and downtime.
4. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Status monitoring includes that operating states of the units is shown, the evaluation of unit health status and displaying are acted in the protection signal condition of shutdown It shows;Operating states of the units is divided into 4 kinds of power generation, shutdown, maintenance and failure states;Unit health status is divided into health, pays attention to, is different Normal and dangerous 4 kinds of states.
5. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Energy Efficiency Analysis includes that unit energy efficiency indexes are calculated and shown, the evaluation of unit energy efficiency state and displaying;Energy efficiency indexes include unit effect Rate, waterpower utilization rate, water consumption rate, guide vane water leakage ratio and diversion loss late;Energy efficiency state is divided into outstanding, good, medium and poor 4 Kind state.
6. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Fault diagnosis includes accident analysis, disorderly closedown judgement and fault database management.
7. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Running optimizatin includes available mode, economic scene, the evaluation of running priority grade and shows;Available mode is divided into long-term, short-term, in short-term With unsuitable 4 kinds of states;Economic scene is divided into outstanding, good, medium and poor 4 kinds of states.
8. electricity power group's Hydropower Unit remote diagnosis platform service framework according to claim 1, it is characterised in that: described Maintenance decision includes that maintenance is suggested, maintenance plan, repair history inquiry;Maintenance suggest include overhaul, light maintenance, seasonal maintenance and Fault maintenance.
CN201811264463.3A 2018-10-29 2018-10-29 A kind of electricity power group's Hydropower Unit remote diagnosis platform service framework Pending CN109407634A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
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

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104331631A (en) * 2014-11-21 2015-02-04 国家电网公司 Remote diagnosis and decision method for running state of hydroelectric generating set
CN104503399A (en) * 2014-12-09 2015-04-08 华电电力科学研究院 Group stage wind power generator set state monitoring and fault diagnosis platform
CN105278504A (en) * 2015-10-28 2016-01-27 华电电力科学研究院 System structure of power generation group-level hydro-power generating unit distributed state monitoring and diagnosis platform construction
CN107065824A (en) * 2017-03-07 2017-08-18 贵州黔源电力股份有限公司 A kind of Hydropower Unit remote fault diagnosis open platform
US20180076663A1 (en) * 2016-09-13 2018-03-15 MidNite Solar, Inc. System and method for controlling and monitoring scalable modular electric devices

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104331631A (en) * 2014-11-21 2015-02-04 国家电网公司 Remote diagnosis and decision method for running state of hydroelectric generating set
CN104503399A (en) * 2014-12-09 2015-04-08 华电电力科学研究院 Group stage wind power generator set state monitoring and fault diagnosis platform
CN105278504A (en) * 2015-10-28 2016-01-27 华电电力科学研究院 System structure of power generation group-level hydro-power generating unit distributed state monitoring and diagnosis platform construction
US20180076663A1 (en) * 2016-09-13 2018-03-15 MidNite Solar, Inc. System and method for controlling and monitoring scalable modular electric devices
CN107065824A (en) * 2017-03-07 2017-08-18 贵州黔源电力股份有限公司 A kind of Hydropower Unit remote fault diagnosis open platform

Cited By (1)

* Cited by examiner, † Cited by third party
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

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