CN111047218A - Intelligent wind power plant operation and maintenance data interaction and use method - Google Patents
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Abstract
The invention discloses an operation and maintenance data interaction and use method for an intelligent wind power plant, which is characterized in that a fault knowledge base, an overhaul experience knowledge base, a fault overhaul work information base and other necessary databases are established, and information among the databases is inquired, updated and used through a software program and a certain judgment rule, so that interaction and use of various operation and maintenance related information in the intelligent wind power plant and digitalization of operation and maintenance personnel experience are realized; the method is beneficial to realizing digitization of operation and maintenance experience of the wind power plant and intellectualization of operation and maintenance suggestions, promotes intellectualized construction of the wind power plant, and overcomes the defect of insufficient interaction of the existing data of the wind power plant.
Description
Technical Field
The invention relates to the technical field of intelligent wind power plant construction, in particular to an operation and maintenance data interaction and use method of an intelligent wind power plant.
Background
In recent years, the construction of smart wind power plants becomes a development hotspot in the industry, but in the construction process of the smart wind power plants, various data in the wind plants still have information isolated islands, and the data cannot be interacted with each other, so that a lot of data information and data value are not fully utilized. At present, SCADA system data, CMS system data, production information data (including spare parts, personnel information data, daily maintenance operation and maintenance data and the like), fault knowledge base data, fault information data and the like in the wind power plant cannot be interacted sufficiently, the data value cannot be brought into full play, digitalization of operation and maintenance experience and intellectualization of operation and maintenance suggestions cannot be realized, and an intelligent wind power plant cannot be built in a true sense.
With the development of big data processing technology and the establishment of various data analysis models, in order to establish a truly intelligent wind power plant, a method for mutual interaction among existing data of the wind power plant needs to be established, data interaction channels are opened, values among the data are fully exerted, the digitization of operation and maintenance experience and the intellectualization of operation and maintenance suggestions are realized by combining corresponding data analysis models and processing technologies, and the intelligent construction of the wind power plant is promoted.
Disclosure of Invention
In order to solve the problems in the prior art, the invention aims to provide an intelligent operation and maintenance data interaction and use method for a wind power plant, which is beneficial to realizing digitization of operation and maintenance experience of the wind power plant and intellectualization of operation and maintenance suggestions, promotes intellectualized construction of the wind power plant, and overcomes the defect of insufficient interaction of the existing data of the wind power plant.
In order to achieve the purpose, the invention adopts the following technical scheme:
a smart wind power plant operation and maintenance data interaction and use method is characterized in that a smart wind power plant information center is provided with a fault knowledge base, a maintenance experience knowledge base, a fault maintenance work information base, a regular maintenance work task database, a regular maintenance work information base, a spare part database, a ship/vehicle information base, a personnel on duty information base, a tool database, a danger source database, a fault case database and a fault tree database;
the method comprises the following steps:
step 1: based on sensors arranged at each measuring point of a booster station and each measuring point of unit equipment and a corresponding data acquisition system, the automatic judgment of the early warning of the equipment state is realized through a wind field centralized monitoring system SCADA and an equipment state monitoring system CMS, when the monitored value is higher than the early warning value, the wind field centralized monitoring system SCADA and the equipment state monitoring system CMS automatically inquire a fault knowledge base by utilizing a database inquiry technology, and information of each equipment measuring point, each component, each fault type, each required tool and each processing suggestion of the unit is obtained; storing the information into a fault maintenance work information base in real time; and storing the data into a to-be-overhauled work task information base;
step 2: the wind power plant regular maintenance work task comprises regular maintenance content and maintenance period, the regular maintenance work task database is input in a manual mode, the regular maintenance work tasks are inquired regularly through an intelligent wind power plant information management system every day in a regular query period, whether each work period is reached or not is judged in advance, the inquiry of a maintenance experience knowledge base is completed for expired maintenance work, and inquired information is stored in a regular maintenance work information base; and storing the data into a to-be-overhauled work task information base;
and step 3: the method comprises the steps of realizing real-time query of a to-be-overhauled work task information base through an intelligent wind field information management system, completing query of spare parts, tools and personnel required by the to-be-overhauled work in a database triggering query mode for the to-be-overhauled work, simultaneously completing query and judgment of weather conditions and ship/vehicle conditions required by the to-be-overhauled work, screening out overhaul work tasks meeting all conditions of wind fields, tools, personnel, weather and ships/vehicles, automatically generating an overhaul list, wherein the content comprises maintenance content, required tools, required spare parts and a list of tools and instruments, simultaneously automatically completing deletion of overhaul work tasks contained in the overhaul list in the to-be-overhauled work task information base by utilizing a database information deletion method, and completing query, judgment, maintenance and maintenance of the spare part database according to the number of the spare parts and the tools required in the overhaul list, Updating tool database information;
and 4, step 4: by means of the mobile terminal equipment, a dangerous source point, a fault case library and a fault tree library of a maintenance working face are inquired in real time on site, on-site guidance on maintenance work is achieved, and after the maintenance work is completed, specific content of a maintenance process, maintenance results, new dangerous sources and equipment fault reason information are recorded in the intelligent wind field information management system; querying whether a dangerous source database, a fault case database, a fault type and a fault tree database contain recorded contents or not through triggered query, and if not, completing updating of the database contents and enriching the database contents; and simultaneously, inquiring whether the quantity of spare parts, the types of tools and appliances and the processing method required by each fault of the maintenance equipment are the same as the existing information of the database, and if so, updating or adding corresponding information in the fault knowledge base and the maintenance experience knowledge base so as to provide guidance for subsequent maintenance work.
Preferably, the fault knowledge base comprises equipment names, equipment monitoring points, equipment fault types, tools and tools required for fault maintenance, fault maintenance treatment suggestions and the like.
Preferably, the service experience knowledge base comprises regular service content, service period, required tools, required personnel expertise and treatment suggestions.
Preferably, the to-be-overhauled work task information base comprises names of parts to be overhauled, key inspection positions, required tools, required personnel and treatment suggestions.
Preferably, the periodic maintenance work information base includes periodic maintenance contents, required tools, required personnel and treatment suggestions.
Preferably, the database of the periodic maintenance work tasks includes periodic maintenance contents and maintenance periods.
Preferably, whether each work cycle is reached is judged three days in advance.
Compared with the prior art, the invention has the following advantages:
1. the intercommunication of various information of wind-powered electricity generation field operation and maintenance is realized, the information isolated island is broken, and the efficiency and the effect of maintenance work are improved.
2. The information intercommunication is beneficial to the improvement and implementation of the digitization and the intelligence degree of the wind power plant.
3. Through the accumulation of the maintenance information, the digitization of the operation and maintenance experience is realized, and the inheritance of the operation and maintenance experience is facilitated.
Drawings
FIG. 1 is a flow chart of an operation and maintenance data interaction and use method of an intelligent wind power plant.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
As shown in fig. 1, the operation and maintenance data interaction and use method of the intelligent wind farm is characterized in that a fault knowledge base (including a measuring point, a component, a fault type, a required tool, a processing suggestion and the like), a maintenance experience knowledge base (including regular maintenance content, a maintenance period, a required tool, a professional staff and a processing suggestion), a fault maintenance work information base (including information such as a part name to be maintained, a key inspection part, a required tool, a staff and a processing suggestion), a regular maintenance work task database, a regular maintenance work information base (including regular maintenance content, a required tool, a staff and a processing suggestion), a spare part database, a ship/vehicle information base, a staff-on-duty information base, a tool database, a danger source database, a fault case base and a fault tree database are built in an information center of the intelligent wind farm;
the method comprises the following steps:
step 1: based on sensors arranged at each measuring point of a booster station and each measuring point of unit equipment and a corresponding data acquisition system, the automatic judgment of the early warning of the equipment state is realized through a mature diagnostic algorithm carried by a wind field centralized monitoring system SCADA and an equipment state monitoring system CMS, when the monitored value is higher than the early warning value, the wind field centralized monitoring system SCADA and the equipment state monitoring system CMS automatically inquire a fault knowledge base by utilizing a database inquiry technology to obtain information of each equipment measuring point, component, fault type, required tools and processing suggestions of the unit; the information is stored into a fault maintenance work information base (including information such as names of parts to be maintained, key inspection positions, required tools and instruments, personnel, processing suggestions and the like) in real time; and storing the information base of the work task to be overhauled (including information such as the name of the part to be overhauled, key inspection parts, required tools and instruments, personnel, processing suggestions and the like);
step 2: the wind power plant regular overhaul work task comprises regular overhaul contents and an overhaul period, the regular overhaul work task database is input in a manual mode, the regular overhaul work tasks are inquired regularly by an intelligent wind power plant information management system every day in a regular inquiry period, whether each work period is reached or not is judged three days in advance (or other days), for expired overhaul work, the inquiry of an overhaul experience knowledge base is completed through the existing database inquiry operation program, and inquired information is stored in the regular overhaul work information base; and storing the information base of the work task to be overhauled (including information such as the name of the part to be overhauled, key inspection parts, required spare parts, tools, personnel, processing suggestions and the like);
and step 3: the method comprises the steps of realizing real-time query of a to-be-overhauled work task information base through an intelligent wind field information management system, completing query of spare parts, tools and personnel required by the to-be-overhauled work in a database triggering query mode for the to-be-overhauled work, simultaneously completing query and judgment of weather conditions and ship/vehicle conditions required by the to-be-overhauled work, screening out overhaul work tasks meeting all conditions of wind fields, tools, personnel, weather and ships/vehicles, automatically generating an overhaul list, wherein the content comprises maintenance content, required tools, required spare parts and a list of tools and instruments, simultaneously automatically completing deletion of overhaul work tasks contained in the overhaul list in the to-be-overhauled work task information base by utilizing a database information deletion method, and completing query, judgment, maintenance and maintenance of the spare part database according to the number of the spare parts and the tools required in the overhaul list, Updating tool database information;
and 4, step 4: by means of the mobile terminal equipment, a dangerous source point, a fault case library and a fault tree library of a maintenance working face are inquired in real time on site, on-site guidance on maintenance work is achieved, and after the maintenance work is completed, specific content of a maintenance process, maintenance results, new dangerous sources and equipment fault reason information are recorded in the intelligent wind field information management system; querying whether a dangerous source database, a fault case database, a fault type and a fault tree database contain recorded contents or not through triggered query, and if not, completing updating of the database contents and enriching the database contents; and simultaneously, inquiring whether the quantity of spare parts, the types of tools and appliances and the processing method required by each fault of the maintenance equipment are the same as the existing information of the database, and if so, updating or adding corresponding information in the fault knowledge base and the maintenance experience knowledge base so as to provide guidance for subsequent maintenance work.
The invention is not described in detail and is within the knowledge of a person skilled in the art.
Claims (7)
1. An intelligent wind power plant operation and maintenance data interaction and use method is characterized by comprising the following steps: the intelligent wind power plant information center is built with a fault knowledge base, a maintenance experience knowledge base, a fault maintenance work information base, a periodic maintenance work task database, a periodic maintenance work information base, a spare part database, a ship/vehicle information base, a personnel on duty information base, a tool database, a hazard source database, a fault case database and a fault tree database;
the method comprises the following steps:
step 1: based on sensors arranged at each measuring point of a booster station and each measuring point of unit equipment and a corresponding data acquisition system, the automatic judgment of the early warning of the equipment state is realized through a wind field centralized monitoring system SCADA and an equipment state monitoring system CMS, when the monitored value is higher than the early warning value, the wind field centralized monitoring system SCADA and the equipment state monitoring system CMS automatically inquire a fault knowledge base by utilizing a database inquiry technology, and information of each equipment measuring point, each component, each fault type, each required tool and each processing suggestion of the unit is obtained; storing the information into a fault maintenance work information base in real time; and storing the data into a to-be-overhauled work task information base;
step 2: the wind power plant regular maintenance work task comprises regular maintenance content and maintenance period, the regular maintenance work task database is input in a manual mode, the regular maintenance work tasks are inquired regularly through an intelligent wind power plant information management system every day in a regular query period, whether each work period is reached or not is judged in advance, the inquiry of a maintenance experience knowledge base is completed for expired maintenance work, and inquired information is stored in a regular maintenance work information base; and storing the data into a to-be-overhauled work task information base;
and step 3: the method comprises the steps of realizing real-time query of a to-be-overhauled work task information base through an intelligent wind field information management system, completing query of spare parts, tools and personnel required by the to-be-overhauled work in a database triggering query mode for the to-be-overhauled work, simultaneously completing query and judgment of weather conditions and ship/vehicle conditions required by the to-be-overhauled work, screening out overhaul work tasks meeting all conditions of wind fields, tools, personnel, weather and ships/vehicles, automatically generating an overhaul list, wherein the content comprises maintenance content, required tools, required spare parts and a list of tools and instruments, simultaneously automatically completing deletion of overhaul work tasks contained in the overhaul list in the to-be-overhauled work task information base by utilizing a database information deletion method, and completing query, judgment, maintenance and maintenance of the spare part database according to the number of the spare parts and the tools required in the overhaul list, Updating tool database information;
and 4, step 4: by means of the mobile terminal equipment, a dangerous source point, a fault case library and a fault tree library of a maintenance working face are inquired in real time on site, on-site guidance on maintenance work is achieved, and after the maintenance work is completed, specific content of a maintenance process, maintenance results, new dangerous sources and equipment fault reason information are recorded in the intelligent wind field information management system; querying whether a dangerous source database, a fault case database, a fault type and a fault tree database contain recorded contents or not through triggered query, and if not, completing updating of the database contents and enriching the database contents; and simultaneously, inquiring whether the quantity of spare parts, the types of tools and appliances and the processing method required by each fault of the maintenance equipment are the same as the existing information of the database, and if so, updating or adding corresponding information in the fault knowledge base and the maintenance experience knowledge base so as to provide guidance for subsequent maintenance work.
2. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: the fault knowledge base comprises equipment names, equipment monitoring points, equipment fault types, tools and tools required by fault maintenance and fault treatment suggestions.
3. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: the overhaul experience knowledge base comprises regular overhaul contents, overhaul periods, required tools and instruments, required personnel specialties and treatment suggestions.
4. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: the to-be-overhauled work task information base comprises names of to-be-overhauled parts, key inspection positions, required tools and instruments, required personnel and processing suggestions.
5. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: the regular overhaul work information base comprises regular overhaul contents, required tools and instruments, required personnel and treatment suggestions.
6. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: the regular overhaul work task database comprises regular overhaul contents and overhaul periods.
7. The intelligent wind farm operation and maintenance data interaction and use method according to claim 1, characterized in that: and judging whether each work period is reached or not three days in advance.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651478A (en) * | 2020-06-10 | 2020-09-11 | 孙明松 | Operation and maintenance information query system and method |
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| 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 |
| CN105005861A (en) * | 2015-07-17 | 2015-10-28 | 中国能源建设集团广东省电力设计研究院有限公司 | Operation regulation and control system for offshore wind farm |
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