CN106022978A - Intelligent power plant management system - Google Patents
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Abstract
The invention provides an intelligent power plant management system. The intelligent power plant management system comprises a power plant data source and further comprises a cloud data module used for collecting, processing and storing all data in the power plant data source, a power plant application module used for calling the data from the cloud data module to realize at least one of real-time monitoring and intelligent application of equipment and a group application module used for calling the data from the cloud data module to realize management and application of the data. Through the intelligent power plant management system, operation conditions and production management conditions of all subordinate power plants and units can be grasped comprehensively in real time, a standard operation, production, management and examination system based on the industrial big data cloud platform technology is established, big data biological development of a whole group is driven from the perspective of energy use, a new service management mode is realized, and the intelligent power plant management system has an important meaning for increasing the intensive, standard and intelligent control level of the group.
Description
Technical field
The present invention relates to intelligent power generation field, particularly a kind of intelligence power plant management system.
Background technology
Along with going deep into and the in-depth of power system reform of China's structural transformation of the economy, power industry has started to installation and the situation that generated energy is superfluous, annual utilization hours is greatly reduced occur for nearly 2 years, these more than ten years are over to seize the generation assets thick spacious formula developmental pattern as top priority, are faced with the miserable market competition environment of " same to net, homogeneity, same to valency ".Power plant is as the foundation stone of power industry, faced by will: how to improve oneself internal management level, reinforcement plan, manage, produce, the management of each specialty such as finance, it is allowed to be truly realized " finely " management, carry the response speed required by the market promotion and accuracy, energy-saving and cost-reducing, reduce production cost and management cost, obtain for power plant maximum " profit " thus reach to improve competitiveness, improve the purpose of oneself survival ability.
Make great efforts through for many years, although the process that electricity power enterprise is in terms of intellectuality and input have bigger gap with electrical network, but also achieve the most digitized transformation of informationization to a certain extent.Experienced by automatic technology introduction, the popularization and application of DCS, and the level of factory Informatization Development centered by MIS etc. is three important stages of historical developments of mark, current thermal power plant the most progressively puts into the subsystem of application and includes SAP(assets finance integral system), OA system, SIS system, ERP system, power plant's web station system etc..Power plant's data can be generally divided into DCS and plc data, SIS data, MIS data, 0A system data according to the difference of its collection means.(1) DCS and plc data are the real time datas of power plant unit (workshop) level, and acquisition mode depends on the control system that each factory is set up, and the most automatically gather, and therefore have the features such as data are true, collection capacity big, sample frequency.(2) SIS data is the real time data of plant level, and the main faulty diagnosis of application software, repair based on condition of component, vibration analysis, durability analysis, optimization operation and the unit performance calculating of exploitation etc. monitor and management software.Acquisition mode is also automatically to gather, have equally data accurately and timely, data volume is big, Refresh Data frequency high.SIS system major part is only intended to the storage of data acquisition and historical data at present, simply develops some application in terms of production management.(3) MIS data are the management data of plant level, acquisition means also depends on manually records people, and the tissue of basic data is closely related with the degree of depth of power plant management and fineness, therefore its accuracy, data volume size, renewal frequency also exist difference between different power plant.(4) this tidal data recovering of OA system data is the document data of circulation of official document during power plant's routine office work.
These type of data of power plant are also used only to the production of guide field at home at present, the most effectively carry out data analysis, accomplish that the management data collected are combined harmonious one-tenth can be used for the information of aid decision the most completely.For the hugest data source, both not had the industry standard of existing standardization classification, power plant does not the most carry out the management of specification, classification to Various types of data, to facilitate and storage and retrieval so that it is become actually useful information, for intelligent decision service.Single, mainly it is reflected in three below aspect without the data of degree of depth mining analysis:
(1) digitized degree of infrastructure device layer is inadequate.Substantial amounts of underlying basis equipment still uses analog quantity or on-off model to be controlled, and digitized degree is low, and builds and maintenance cost height.
(2) producing level of data is not enough.The data uploaded along with infrastructure device layer gradually increase, and its real time information cannot upload to supervisory layers and the management level on upper strata in time, constrain the application degree of depth of upper strata advanced applied software.
(3) degree of data mining is inadequate.Substantial amounts of data resource is integrated owing to lacking, and continuity is disperseed and lacked to data, and management personnel are difficult to therefrom obtain useful information thus make effective decision-making.
In addition, the most unified Database Systems of power plant's Product Data Management and the system of analysis, lack some situ metrology instrumented datas and access production control system, and each control system does not has auto report feature, so that the measuring instrument of access control system can not be made a report on automatically yet.It is different that each production system develops producer, and structure there is also the biggest difference, ultimately forms numerous information islands, it is impossible to provides foundation and service for power plant management person's intelligent decision making.
The patent of invention of Publication No. 104932278A discloses a kind of big data system of electric power based on intelligent grid, and it includes big Data Analysis Platform and the electric field terminal, transformer station's terminal and the intelligent residential district terminal that are connected respectively with big Data Analysis Platform；Described power plant terminal uses and gathers generating information and the actuator of control generating equipment in power plant；Described transformer station terminal is for gathering power transmission and transformation information and controlling the actuator of power transmission and transforming equipment；Described intelligent residential district terminal can only furniture information and the actuator of control intelligentized Furniture for just adding；Described big Data Analysis Platform generates operation for being controlled instruction typing, the loading of related data and extraction, data analysis excavation process, analysis result graphic software platform and analysis report.This invention be mainly used in meet can only the demand of digitizer mass data processing in electrical network, but whole data resources, electric power supply plant and group company can not be integrated and share and use.
Summary of the invention
The present invention is with fuel intelligent management as starting point, main frame whole process intelligent optimization is support, environmental protection total system intelligent optimization is extension, the intelligent optimizations such as auxiliary control, pipeline, station service, station-service water are for connecting, by the big Data Analysis Model of customization, form the asset of equipments intelligent optimization potentiation system of a closed loop.Again the data after links intelligent optimization, branch and subsidiaries and the big data service platform of industry based on mixed cloud of our department of group of " cloud+end " is realized by the Internet, again opening safely controllable for data to colleges and universities, DianKeYuan, designing institute, equipment producer, maintenance maintenance company, third party technology service company, the responsible department allowing each Service Period can complete respective service to group's business under the data platform of a unified standard, this the most tentatively achieves the technological frame of a big data platform of the wisdom energy from application scenarios, finally pool an intelligent management system.
The present invention provides a kind of intelligence power plant management system, including power plant's data source, also comprises with lower module:
Cloud data module: collect, process and preserve each item data in described power plant data source；
Power plant's application module: call data from described cloud data module and realize at least one in the monitoring in real time to equipment and intelligent Application；
Group's application module: call data from described cloud data module and realize the application management of data.
Preferably, during described power plant data source includes DCS data source, SIS data source, MIS data source, OA data source, ERP data source, device data source and other data sources applied on power plant's normal operation at least one.
In such scheme preferably, the data in described device data source include equipment operating data, the data of intelligence instrument, the data of intelligent electric appliance self and camera collection that intelligence sensor collects to data at least one.
In such scheme preferably, during described cloud data module includes data acquisition unit, data processing unit, data storage cell, data disaster tolerance unit, anti-virus unit and safety certification unit at least one.
In such scheme preferably, described data acquisition unit is for receiving data that described power plant data source sends over and passing to described data processing unit.
, described data processing unit arranges for the data sending over described power plant data source, screens in such scheme preferably, and the data after processing are sent to described data storage cell.
In such scheme preferably, described data storage cell is for being saved in the data after described process in local storage, local cloud storage and strange land cloud storage at least one memorizer.
In such scheme preferably, described data disaster tolerance unit comprises storage level and synchronizes at least one in disaster tolerance, application redundancy and automatization's disaster tolerance with city.
In such scheme preferably, described storage level synchronizes disaster tolerance for by newly purchasing virtual memory gateway, integrating existing heterogeneous SAN memory resource pool with city, structured data, realize Storage Virtualization function, and the function such as Data Migration, disaster tolerance can be met, it is achieved disaster tolerance.
In such scheme preferably, described application redundancy is in the link disaster tolerance storage of described data disaster tolerance cell location corresponding server pools, when disaster occurs or carries out disaster recovery rehearsal, after stopping disaster tolerance replication relation, the virtual machine of described data disaster tolerance unit can access disaster tolerance data adapter production.
In such scheme preferably, described automatization disaster tolerance is for realizing strange land dual-active data center, it is ensured that business in real time uninterrupted.
In such scheme preferably, described anti-virus unit uses the safe practice of innovation to provide comprehensively protection for cloud data module.
In such scheme preferably, described safety certification unit includes O&M security audit unit and identification authenticating unit.
In such scheme preferably, described O&M security audit unit have specification operation management behavior, prevention or block in time exception, positioning security accident, for recovery system with trace responsibility and provide original foundation, examination & verification attended operation, operation is carried out real time record, violation operation carried out real-time blocking and provides at least one function in audit log.
In such scheme preferably, described identification authenticating unit has use RSA Dual-factor identity authentication and transfers the function of data in described data storage cell.
In such scheme preferably, during described power plant application module includes the control unit of electric power factory equipment, the diagnosis unit of electric power factory equipment and intelligent monitoring routing inspection unit at least one.
In such scheme preferably, during described electric power factory equipment includes Fuel Furnace, steam turbine, boiler, booster stations, subsidiary engine, environmental protection equipment, water treatment facilities at least one.
In such scheme preferably, the control unit of described electric power factory equipment have electric power factory equipment is managed according to the data in described data storage cell, controls and optimizes at least one function.
In such scheme preferably, the diagnosis unit of described electric power factory equipment has the function of at least one during abnormal conditions electric power factory equipment occur according to the data in described data storage cell are investigated, diagnose and processed.
The function of the situation in, described intelligent monitoring routing inspection unit has transfers described power plant data source in such scheme preferably, and multidimensional shows power plant region in real time on the display device.
In such scheme preferably, described multidimensional shows and includes at least one in two dimension display, three dimensional display and four-dimensional display.
In such scheme preferably, described intelligent monitoring routing inspection unit also has amplification local devices and inquires about the function of real time data on this equipment.
In such scheme preferably, described group application module has the data called in described data storage cell and forms the function of data case.
In such scheme preferably, described group application module also has the function using described safety certification unit to determine user identity.
In such scheme preferably, described user includes Internal users and external users.
In such scheme preferably, during described Internal users includes power plant employee, power plant management personnel, power plant technical staff, group management personnel, group technical staff, group expert, technical team of group at least one.
In such scheme preferably, described external users is from least one unit in colleges and universities, equipment manufacturer, DianKeYuan, designing institute, maintenance maintenance company, third party technology service company.
In such scheme preferably, during described group application module includes built in diagnostics unit, external diagnosis unit, help each other alternating current unit and bidding assessment unit at least one.
In such scheme preferably, described built in diagnostics unit have allow described Internal users that described data case is held a consultation, analyzes, judges, advises and to be processed at least one function.
In such scheme preferably, described external diagnosis unit have allow described external users that described data case is held a consultation, analyzes, judges, advises and to be processed at least one function.
In such scheme preferably, alternating current unit of helping each other described in have allow between described Internal users, described data case is carried out helping and exchanges at least one function.
In such scheme preferably, during described helping includes helping one to one, one-to-many helping, many-one helping and multi-to-multi helping at least one.
In such scheme preferably, described bidding assessment unit has achievement data management, exponent pair mark, announces mark analysis, measure management, metrics evaluation, result and at least one function in basic data maintenance.
In such scheme preferably, the management of described achievement data is for extracting achievement data and preserving from described data case.
In such scheme preferably, described exponent pair is designated as using described achievement data to compare with contrast standard.
In such scheme preferably, during described contrast standard includes country's minimum standards, country's optimization criteria, industry standard, company standard and Overseas Correlative Standards at least one.
In such scheme preferably, described mark analysis is included relative value analyze, in factorial analysis and variation analysis at least one.
In such scheme preferably, described measure management is described to mark analysis result proposition analysis report for using.
In such scheme preferably, according to described metrics evaluation, described analysis report lists index ranking.
In such scheme preferably, described basic data maintenance includes, facility maintenance, index are safeguarded, safeguard scale value, index scheme information and Doctype safeguard at least one.
Above-mentioned intelligence power plant management system, each power plant, the operating condition of unit and production management's situation belonging to can grasping comprehensively, in real time, set up standardization based on industry big data cloud platform technology to run, produce, manage and checking system, from the big data ecodevelopment of the whole group of angle driving that the energy uses, realize new operational control pattern, significant to improving intensive, the standardization of group, intelligent regulatory level.
Accompanying drawing explanation
Fig. 1 is the overall setup module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 2 is the bidding assessment sector diagram of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 3 is the data flow module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 4 is the management and control module map of the electric power factory equipment of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 5 is the built in diagnostics module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 6 is the external diagnosis module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
Fig. 7 is the internal communication module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
Detailed description of the invention
Embodiment 1
Fig. 1 is the overall setup module map of a preferred embodiment of the intelligent power plant management system according to the present invention.
As it is shown in figure 1, power plant's data source 100 equipment operating data 105, intelligence instrument data 106, the data 104 of intelligent electric appliance self and the camera collection that are collected by DCS data 101, SIS data 102, MIS data 103, OA data 104, intelligence sensor to data 108 form.Data acquisition unit 111 in cloud storage module 110 receives the initial data sended over from power plant's data source 100, and is sent in data processing unit 112.112 initial datas of data processing unit process, and delete redundancy and invalid data, obtain valid data, and valid data are sent to data storage cell 113 after screening.Data storage cell is stored in valid data in local storage, local cloud storage and strange land cloud storage, forms data ring state, some memory miss data, supplements from another two memorizer.Utilize data disaster tolerance unit 114 and anti-virus unit 115 that data are protected, set up strange land dual-active data center, it is ensured that data are uninterrupted.The storage of data is supervised by safety certification unit 116, specification operation management behavior, prevention or block in time exception, positioning security accident, for recovery system and trace responsibility provide original foundation, examination & verification attended operation, operation is carried out real time record, violation operation is carried out real-time blocking and provide audit log.Safety certification unit 116 uses RSA Dual-factor identity authentication to guarantee the authentication of user.
Power plant's application module 120 includes fuel intellectuality control platform 121, steam turbine intelligent diagnosis system 122, boiler intelligent diagnostic system 123, intelligently voltage boosting station system 124, intelligence auxiliary system 125, intelligent environment protection device systems 126, Intellectual water treatment system 127 and power plant's intelligent monitoring and some cruising inspection system 128.Fuel intellectuality control platform 121, steam turbine intelligent diagnosis system 122, boiler intelligent diagnostic system 123, intelligently voltage boosting station system 124, intelligence auxiliary system 125, intelligent environment protection device systems 126 and Intellectual water treatment system 127 in power plant's application module 120 transfers the real-time running data of electric power factory equipment from data storage cell 113, analyze the operation conditions of electric power factory equipment, electricity is produced equipment and is managed, controls and optimizes.Fuel intellectuality control platform 121, steam turbine intelligent diagnosis system 122, boiler intelligent diagnostic system 123, intelligently voltage boosting station system 124, intelligence auxiliary system 125, intelligent environment protection device systems 126 and Intellectual water treatment system 127 in power plant's application module 120 transfers the abnormal data of electric power factory equipment from data storage cell 113, abnormal conditions electric power factory equipment occur are investigated and are diagnosed, and process the hidden trouble of equipment of produced problem and existence in time.Power plant's intelligent monitoring in power plant's application module 120 and some cruising inspection system 128 are on display device (giant-screen, monitor, computer, panel computer, laptop computer, mobile phone, intelligent mobile terminal etc.).Show the 3 dimensional drawing of whole power plant, the real-time video of this photographic head in data storage cell 113 and passing video can be left in by selecting photographic head to transfer, can be by clicking on the equipment in power plant, the graphics of multiplying arrangement, checks equipment real-time running data and abnormal data that the sensor on the equipment of being arranged on leaves in data storage cell 113.
Group's application module 130 includes that in-house experts Diagnosis Service system 131, external experts Diagnosis Service system 132, inside are helped each other AC system 133 and bidding assessment system 134.In-house experts Diagnosis Service system 131 is for transferring equipment real-time running data, history data and the abnormal data left in data storage cell 113 and forming data case, and data case is held a consultation, analyzes, judges, advises and processed by Internal users (power plant employee, power plant management personnel, power plant technical staff, group management personnel, group technical staff, group expert, technical team of group).External experts Diagnosis Service system 132 is for transferring equipment real-time running data, history data and the abnormal data left in data storage cell 113 and forming data case, and data case is held a consultation, analyzes, judges, advises and processed by Internal users (power plant employee, power plant management personnel, power plant technical staff, group management personnel, group technical staff, group expert, technical team of group).Inside AC system 133 of helping each other exchanges for helping each other between group internal developed regions power plant and under-developed area power plant, the technical staff of developed regions power plant transfers the service data of under-developed area power plant from data storage cell 113, practical situation in conjunction with under-developed area, formulate prioritization scheme, improve the operational efficiency of under-developed area power plant, promote by helping power plant normal operation level, save the time input by personnel's learning guide of exchanging between unit of helping each other, man power and material, and can carry out comprehensive, all standing, in real time effective experience exchangement and study is helped each other work.Bidding assessment system 134 user called data from data storage cell 113 compares with contrast standard (country's minimum standards, country's optimization criteria, industry standard, company standard and Overseas Correlative Standards).As in figure 2 it is shown, bidding assessment system 134 includes achievement data management, exponent pair mark, announces mark analysis, measure management, metrics evaluation, result and basic data maintenance.Exponent pair mark include single index to mark, multi objective to mark, unit to mark and unit index to mark.Mark analysis is included relative value analyze, factorial analysis and variation analysis.Measure management includes generating variation analysis report.Metrics evaluation includes generating index ranking.Include generating to mark job information with to table distribution of results to mark job information.Basic data maintenance includes that facility maintenance, index are safeguarded, safeguarded scale value maintenance, index scheme information and Doctype.
Embodiment 2
As it is shown on figure 3, power plant's data source 100 equipment operating data 105, intelligence instrument data 106, the data 104 of intelligent electric appliance self and the camera collection that are collected by DCS data 101, SIS data 102, MIS data 103, OA data 104, intelligence sensor to data 108 form.Data acquisition unit 111 in cloud storage module 110 receives the initial data sended over from power plant's data source 100, and is sent in data processing unit 112.112 initial datas of data processing unit process, and delete redundancy and invalid data, obtain valid data, and valid data are sent to data storage cell 113 after screening.Data storage cell 113 extracts part valid data and is divided into history data storehouse 140 and misoperation data base 141.Power plant's application module 120, in-house experts Diagnosis Service system 131, external experts Diagnosis Service system 132 can be according to the data in history data 140 storehouse, equipment in power plant is estimated and analyzes, find optimal operating scheme, and returning in data base, the device parameter in power plant is adjusted by the technical staff within electric power supply plant.Power plant's application module 120 transfers the abnormal data in misoperation data base 141, is analyzed, it is judged that where go wrong.In-house experts Diagnosis Service system 131 is analyzed for the judgement of power plant's application module 120, it is judged that judging whether of power plant's application module 120 is correct, and offers one's comment.External experts Diagnosis Service system 132 is analyzed for the judgement of in-house experts Diagnosis Service system 131, it is judged that judging whether of in-house experts Diagnosis Service system 131 is correct, and offers one's comment.Inside AC system 133 of helping each other transfers the data in the history data storehouse 140 of under-developed area power plant and misoperation data base 141, and data are analyzed, propose Optimizing Suggestions, and feed back to under-developed area power plant, the parameter of electric power factory equipment is adjusted.
Embodiment 3
As shown in Figure 4, the data of electric power factory equipment 200 self upload in cloud storage module 110 by power plant's data source 100, and cloud storage module 110 extracts part valid data and is divided into history data storehouse 140 and misoperation data base 141.Data in power plant's application module 120 analysis of history runtime database 140, generate prioritization scheme, and return electric power factory equipment 200 and perform prioritization scheme.Power plant's application module 120 analyzes the data in misoperation data base 141, it is judged that where go wrong in electric power factory equipment, proposes solution, and returns electric power factory equipment 200 and perform solution.
Embodiment 4
As it is shown in figure 5, Internal users 300 includes power plant employee 301, power plant management personnel 302, power plant technical staff 303, group management personnel 304, group technical staff 305, group expert 306, technical team of group 307.Power plant employee 301 through safety certification unit 116 certification, confirms that identity is power plant employee, and authority, for logging in power plant's application module 116, is checked the real time execution situation of electric power factory equipment, and manually uploaded electric power factory equipment data.Power plant management personnel 302 through safety certification unit 116 certification, confirms that identity is power plant management personnel, and authority, for logging in power plant's application module 116, is checked the real time execution situation of electric power factory equipment, and can be checked the data of storage in data storage cell 113.Power plant technical staff 303 through safety certification unit 116 certification, confirming that identity is power plant technical staff, authority one, for logging in power plant's application module 116, checks the real time execution situation of electric power factory equipment, and can check and download the data of storage in data storage cell 113, data are analyzed；Authority two is to log in the in-house experts Diagnosis Service system 131 in group's application module 130 and help each other AC system 132 in inside, with the technical staff of other power plant and the technical staff of group, the data case inside data storage cell 113 is analyzed, exchanges, holds a consultation, and propose a plan.Group management personnel 304 through safety certification unit 116 certification, confirm that identity is group management personnel, authority is to log in the in-house experts Diagnosis Service system 131 in group's application module 130 and help each other AC system 132 in inside, checks the data being stored in data storage cell 113 of all electric power factory equipments of group subordinate.Group technical staff 305 through safety certification unit 116 certification, confirm that identity is group technical staff, authority is to log in the in-house experts Diagnosis Service system 131 in group's application module 130 and help each other AC system 132 in inside, check the data being stored in data storage cell 113 of all electric power factory equipments of group subordinate, with the technical staff of other power plant and the technical staff of group, the data case inside data storage cell 113 is analyzed, exchanges, holds a consultation, and propose a plan.Group expert 306 through safety certification unit 116 certification, confirm that identity is group expert, authority is to log in the in-house experts Diagnosis Service system 131 in group's application module 130 and help each other AC system 132 in inside, check the data being stored in data storage cell 113 of all electric power factory equipments of group subordinate, with the technical staff of other power plant and the technical staff of group, the data case inside data storage cell 113 is analyzed, exchanges, holds a consultation, and propose a plan.Technical team of group 307 through safety certification unit 116 certification, confirm that identity is technical team of group, authority is to log in the in-house experts Diagnosis Service system 131 in group's application module 130 and help each other AC system 132 in inside, check the data being stored in data storage cell 113 of all electric power factory equipments of group subordinate, with the technical staff of other power plant and the technical staff of group, the data case inside data storage cell 113 is analyzed, exchanges, holds a consultation, and propose a plan.
Embodiment 5
Colleges and universities, equipment manufacturer, DianKeYuan, designing institute, maintenance maintenance company, third party technology service company
As shown in Figure 6, Internal users 300 includes power plant technical staff 303, group technical staff 305, group expert 306, technical team of group 307, and external users 400 includes colleges and universities expert 401, equipment manufacturer 402, DianKeYuan expert 403, designing institute expert 404, maintenance maintenance company expert 405, third party technology service company expert 406.Power plant technical staff 303 through safety certification unit 116 certification, confirm that identity is power plant technical staff, authority is for logging on external experts Diagnosis Service system 132, data case inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Group technical staff 305 through safety certification unit 116 certification, confirm that identity is group technical staff, authority is for logging on external experts Diagnosis Service system 132, data case inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Group expert 306 through safety certification unit 116 certification, confirm that identity is group expert, authority is for logging on external experts Diagnosis Service system 132, data case inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution..Technical team of group 307 through safety certification unit 116 certification, confirm that identity is technical team of group, authority is for logging on external experts Diagnosis Service system 132, data case inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Colleges and universities expert 401 through safety certification unit 116 certification, confirm that identity is colleges and universities expert, authority is for logging on external experts Diagnosis Service system 132, the data case of the association area inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Equipment manufacturer 402 through safety certification unit 116 certification, confirmation identity is equipment manufacturer, authority is for logging on external experts Diagnosis Service system 132, the data case of the relevant device inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.DianKeYuan expert 403 through safety certification unit 116 certification, confirm that identity is DianKeYuan expert, authority is for logging on external experts Diagnosis Service system 132, the data case of the association area inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Designing institute expert 404 through safety certification unit 116 certification, confirm that identity is designing institute expert, authority is for logging on external experts Diagnosis Service system 132, the data case of the association area inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Maintenance maintenance company expert 405 through safety certification unit 116 certification, confirm that identity is maintenance maintenance company expert, authority is for logging on external experts Diagnosis Service system 132, the data case of the relevant device inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.Third party technology service company expert 406 through safety certification unit 116 certification, confirm that identity is third party technology service company expert, authority is for logging on external experts Diagnosis Service system 132, the data case of the relevant device inside data storage cell 113 is analyzed, exchanges, holds a consultation by the expert of association area outside with group internal and group, and proposes solution.
Embodiment 6
As shown in Figure 7, low developed area power plant technical staff 501 through safety certification unit 116 certification, confirm that identity is low developed area power plant technical staff, authority is helped each other in AC system 132 for logging on inside, the service data case of this power plant in called data memory element 113, jointly inquire into developed regions power plant technical staff 502, group technical staff 503, group expert 504, propose power plant's operating scheme, and in electric power factory equipment 200, implement power plant's operating scheme.Developed regions power plant technical staff 502 through safety certification unit 116 certification, confirm that identity is developed regions power plant technical staff, authority is helped each other in AC system 132 for logging on inside, the service data case of this power plant in called data memory element 113, jointly inquire into low developed area power plant technical staff 501, group technical staff 503, group expert 504, propose power plant's operating scheme, and according to the real-time running data of low developed area power plant, power plant's operating scheme is adjusted.Group technical staff 503 through safety certification unit 116 certification, confirm that identity is group technical staff, authority is helped each other in AC system 132 for logging on inside, the service data case of this power plant in called data memory element 113, jointly inquire into low developed area power plant technical staff 501, developed regions power plant technical staff 502, group expert 504, propose power plant's operating scheme, and according to the real-time running data of low developed area power plant, power plant's operating scheme is adjusted.Group expert 504 through safety certification unit 116 certification, confirm that identity is group expert, authority is helped each other in AC system 132 for logging on inside, the service data case of this power plant in called data memory element 113, jointly inquire into low developed area power plant technical staff 501, developed regions power plant technical staff 502, group technical staff 503, propose power plant's operating scheme, and according to the real-time running data of low developed area power plant, power plant's operating scheme is adjusted.
Claims (10)
1. intelligence power plant management system, including power plant's data source, it is characterised in that also comprise with lower module:
Cloud data module, for collecting, process and preserve each item data in described power plant data source；
Power plant's application module, realizes at least one in the monitoring in real time to equipment and intelligent Application for calling data from described cloud data module；
Group's application module, realizes the management application of data for calling data from described cloud data module.
2. intelligence power plant management system as claimed in claim 1, it is characterised in that: described power plant data source includes at least one in DCS data source, SIS data source, MIS data source, OA data source, ERP data source, device data source and other data sources applied on power plant's normal operation.
3. intelligence power plant management system as claimed in claim 1, it is characterised in that: described cloud data module includes at least one in data acquisition unit, data processing unit, data storage cell, data disaster tolerance unit, anti-virus unit and safety certification unit.
4. intelligence power plant management system as claimed in claim 4, it is characterised in that: data that described data acquisition unit sends over for receiving described power plant data source also pass to described data processing unit.
5. intelligence power plant management system as claimed in claim 4, it is characterised in that: described data processing unit arranges for the data sending over described power plant data source, screens, and the data after processing are sent to described data storage cell.
6. intelligence power plant management system as claimed in claim 4, it is characterised in that: described data storage cell is for being saved in the data after described process in local storage, local cloud storage and strange land cloud storage at least one memorizer.
7. intelligence power plant management system as claimed in claim 4, it is characterised in that: described data disaster tolerance unit comprises storage level and synchronizes at least one in disaster tolerance, application redundancy and automatization's disaster tolerance with city.
8. intelligence power plant management system as claimed in claim 4, it is characterised in that: described anti-virus unit uses the safe practice of innovation to provide comprehensively protection for cloud data module.
9. intelligence power plant management system as claimed in claim 1, it is characterised in that: described power plant application module includes at least one in the control unit of electric power factory equipment, the diagnosis unit of electric power factory equipment and intelligent monitoring routing inspection unit.
10. intelligence power plant management system as claimed in claim 1, it is characterised in that: described group application module has the data called in described data storage cell and forms the function of data case.
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