CN116258472A - Intelligent operation management method for unattended hydropower station - Google Patents
Intelligent operation management method for unattended hydropower station Download PDFInfo
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- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
- G06Q10/1097—Task assignment
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides an intelligent operation management method of an unmanned hydropower station, which is characterized by comprising the following steps: (1) The operation duty management system automatically generates an unmanned duty task list of each power station in the next day; (2) Each power station in the river basin confirms the content of the work task list and submits the content to the centralized control center; (3) The centralized control center reviews and confirms the work task list reported by each power station in the river basin; (4) The operating duty management system gathers and classifies the contents of the work task list; (5) the centralized control center issues the work task list to each power station; (6) Each power station in the river basin confirms the work task list issued by centralized control; (7) executing a work task sheet; (8) The operating duty management system stores, files and stores the work task list data; (9) deep mining of the database and self-learning of the machine.
Description
Technical Field
The invention provides an operation management method, in particular to an intelligent operation management method for an unattended hydropower station, and belongs to the technical field of automatic management.
Background
Along with the continuous development of power systems and the continuous progress of related technologies of power production in China, the degree of automation and the safe operation level of hydroelectric power generation are also continuously improved, and the operation on duty mode of the hydropower station starts to develop from a 'less on duty' mode to an 'unmanned on duty' mode gradually. For the river basin step power station, in an unmanned on duty operation management mode, the centralized control center is a different on-duty unit of the power station and is responsible for remote monitoring of the unmanned on-duty power station of the river basin, and the power station site is not monitored for 24 hours all the day and is on duty. At present, the current daily management method for the 'unattended' river basin step hydropower station mainly has the following problems: 1) The daily work of the watershed hydropower stations without person duty is managed by each power station, because the hydropower stations in the watershed have tight hydropower linkage relationship, if the power stations are not smooth in information communication with the centralized control center, the working efficiency is affected, and the safety risk of equipment is increased; 2) The watershed hydropower station without person on duty and the centralized control center communicate information through the telephone, the operation duty work of the centralized control center is continuously increased along with continuous access of the watershed hydropower station without person on duty, and when more services exist, the telephone breaks the normal processing thought of the centralized control duty staff, so that the working efficiency is reduced; 3) The intelligent management level of the 'unmanned' river basin cascade hydropower station is not high, the management level is greatly influenced by excessively depending on human decisions, and the management record data of daily work of each power station lacks an efficient analysis and processing method, so that the management level is not improved and deepened. There is therefore a need for improvements in the art.
Disclosure of Invention
The invention provides an intelligent operation management method for a hydropower station based on an unmanned on duty mode, which aims to solve various problems and disadvantages of the conventional river basin step hydropower station adopting the unmanned on duty mode.
The invention is completed by the following technical scheme: an intelligent operation management method for an unmanned hydropower station is characterized by comprising the following steps:
(1) The operation duty management system automatically generates an unmanned duty task list of each power station in the next day;
(2) The on-duty management system acquires module data in a daily fixed time, automatically generates an unmanned on-duty work task list of each power station in the next day, or manually inputs the work task list in each power station in a drainage basin through a standard format, confirms and manually corrects the content of the work task list, and reports the work task list to the centralized control center in the daily fixed time;
(3) The operator of the centralized control center checks whether each power station of the watershed reports the next day unmanned on duty work task list according to the specified requirement on time, for the reported power stations, the operator of the centralized control center checks and confirms the work task list reported by each power station of the watershed, for the power stations which are not reported according to the specified requirement on time, the system is automatically locked, and the manual unlocking of the centralized control center can report the work task list;
(4) The operating duty management system gathers and classifies the content of the work task list, describes, positions and searches the scattered information of each power station, and layers and classifies the information based on file description information and extracted keywords, so that the information is structured, resource information is conveniently checked in a layered and classified mode, and the classified information is provided with urgent, important and general labels according to the importance degree and is sequenced according to the importance degree for standby;
(5) The centralized control center examines the work task list classified by the system and issues the work task list to each power station;
(6) Each power station in the river basin confirms the work task list issued by centralized control;
(7) Executing a work task list;
(8) The operating duty management system stores, files and stores the work task list data;
(9) The database is deeply mined and the machine learns itself.
In the step (1), the duty management system acquires module data in a fixed time every day, automatically generates a next-day unmanned duty work task list of each power station, and the power station manually inputs the work task list through a standard format so as to effectively plan the next-day work through the work task list.
The module data comprises overhaul work management module data, defect intelligent management module data, command operation module data, reservoir dispatching module data and frequency modulation market module data, wherein:
the overhaul work management module data is set as overhaul ticket contents which are generated by the module and are not finished in the beginning of work and are started in the next day;
the defect intelligent management module data is set as a defect processing plan generated by the intelligent defect management module data, and the next-day defect processing content is generated;
the command operation module data is set as a scheduling command and a centralized control command generated by the module;
the reservoir dispatching module data are set into various power station reservoir water levels, reservoir entering and exiting flow, forecast flow and water level control plans generated by the module;
the frequency modulation market module data are set as the next day pre-bid condition, the next day plan exit AGC period and the working content of each power station generated by the module;
so as to generate an unattended job ticket.
In the step (2), the work task list automatically generated by the duty management system is operated, the power station can be manually corrected, and the work task list is reported to the centralized control center at fixed time every day so as to be manually corrected, and the instruction is ensured to be correct.
In the step (3), the centralized control attendant refers to whether each power station in the river basin reports the next day unmanned on duty work task list on time according to the specified requirement, and for the reported power stations, the centralized control attendant needs to carefully review and confirm, and for the power stations which are not reported on time according to the specified requirement, the system is automatically locked, and the system needs to be manually unlocked by the centralized control center to report, so that accidents caused by errors can be avoided.
In the step (4), the operating duty management system gathers and classifies the contents of the work task list, describes, positions and searches the scattered information of each power station, and layers and classifies the information based on file description information and extracted keywords to enable the information to be structured, so that resource information is conveniently checked in a layering and classifying mode, and the classified information is provided with urgent, important and general labels according to the importance degree and is sequenced according to the importance degree for standby.
The work task sheet content comprises operation, defect management, overhaul maintenance and other coordination communication items needed by the centralized control center, wherein:
the operation part has a safe error prevention function, the operation state of the equipment is automatically matched and obtained through the monitoring system data acquisition and control system, whether the conversion between the initial state and the end state of the operation equipment meets the error prevention rule or not is checked, whether the operation condition is met under the current monitoring system equipment state or not is checked, if the operation rule and the operation condition are met, an operation task list is generated according to the operation task, if any one of the operation task lists does not meet the operation rule, the operation task list is returned to the previous process, and corresponding error prevention reminding is popped up;
the defect management part automatically generates a defect processing list according to the alarm equipment and the big data analysis, and the operation duty management system acquires a defect list from the defect intelligent management system, wherein the defect list comprises defect contents, a defect processing plan and security measures required by defect processing, and generates a next-day defect processing task list;
the overhaul and maintenance part has an information retrieval and comparison function, and obtains corresponding contents by intelligently retrieving corresponding contents from offline files such as overhaul and maintenance regulation and the like, obtains safety measures, notes and the like required by overhaul and maintenance work, compares the equipment operation state obtained by a monitoring system, automatically judges the necessity and rationality of the overhaul and maintenance work, and automatically generates an overhaul task list including overhaul and maintenance contents, safety measures, notes and the like if the overhaul and maintenance work meets regulation requirements and the equipment operation state meets requirements, otherwise returns to the previous flow;
other communication matters needing centralized control and coordination include: because of temporary defect elimination, unit operation optimization, unit rotation and other conditions needing centralized control to assist in adjusting the operation mode, other matters needing coordination in safe production are generated by the system in default, if the centralized control center is needed to coordinate the communication matters, the power station can be manually input according to actual conditions;
so as to perform a series of settings, and make the tasks smoothly and normally performed.
In the step (5), the centralized control center examines the work task list classified by the system and issues the work task list to each power station.
In the step (6), each power station in the river basin confirms feedback information of the centralized control center, so that information consistency of the centralized control and the power stations is ensured, and the purpose of information communication is achieved.
In the step (7), the work task list after the power station is confirmed is executed in a rotating way, and the execution link comprises the execution of the work task list of the equipment managed by the power station, the execution of the work task list of the power station which is matched with centralized control or is permitted by the centralized control.
The power station self-administration device is arranged in such a way that the power station can directly carry out related work on the self-administration device according to the work task list.
The power station is matched with the centralized control or the work which needs centralized control permission, the work application is submitted before the work is carried out, and the work can be carried out after the centralized control attendant agrees.
In the step (8), the operation duty management system stores, files and stores the work task sheet data, and the database can be applied to a big data intelligent analysis platform and a centralized control operation handover scene.
The archive storage data is introduced into a big data intelligent analysis platform to carry out data deep mining, useful information is extracted, and characters, tables and visual graphics are adopted to display the data.
The unattended work task list is archived and handed over along with the operation of the centralized control center in daily life, so that the continuity and traceability of work are ensured, and the unattended power station operation management and regulation are facilitated.
In the step (9), the stored and archived data is deeply mined, useful information is extracted, data regression analysis is performed, analysis information is introduced into a robot interface, learning behaviors of human beings are simulated or realized, self-learning is performed on the data, and a machine learning system finds a statistical structure from a plurality of examples related to a certain task, so that rules are finally found to be continuously optimized and promoted.
The invention has the following advantages and effects: by adopting the scheme, the 'unmanned on duty' power station in the river basin and the centralized control center perform information communication through the operation duty management system without repeated telephone communication, so that the information communication efficiency of the centralized control and the 'unmanned on duty' power station can be improved, the labor cost of the centralized control and the power plant is effectively reduced, and the operation duty workload is reduced. The centralized control attendant can be used for on-duty risk analysis, unit operation optimization and power generation increasing work. The operation on duty management system can collect information of other modules, an unmanned on duty work task list of the next day is automatically generated, daily work is orderly carried out by a power station and a centralized control according to the work task list, and the intelligent and intelligent level of management of a centralized control center is improved. For routine daily work, the water level automatic control system has the functions of starting and stopping reminding, starting sequence reminding, water level out-of-limit reminding, equipment periodic rotation reminding and the like. The equipment safety risk caused by work omission and information asymmetry due to human factors is reduced, and the safe and stable operation of the hydropower station in the river basin is promoted. And (5) standardizing the unattended management level of the hydropower station in the river basin. The daily communication content between the unattended power station and the centralized control center is automatically generated by the system according to a standard template, so that the system is convenient to store, file and review, the whole-flow closed-loop management of the service can be realized, and the unified and centralized management level of the centralized control center to the power station is improved. Deep mining analysis is performed on the historical database, and the number of operation, maintenance work and defect number of the next day are predicted according to data point analysis of the model curve corresponding to the date. If the number of the operation, the overhaul work and the defect number of the operation are predicted to be larger than the limit value, sorting the importance degree of the classification labels one by one until the importance degree is smaller than the limit value. The method avoids excessive centralized operation work, overload work of an operator on duty, and can effectively reduce safety risk. The robot continuously learns database information through various algorithm training models, and uses the models to identify and predict new problems, so that the algorithm models are continuously perfected, the robot is self-lifted, automatically generated information is more accurate and reasonable, and the guidance on work is stronger. Is an ideal operation management method.
Drawings
FIG. 1 is a block diagram of the operation of the present invention.
Description of the embodiments
The invention is further described below with reference to the accompanying drawings.
The invention provides an intelligent operation management method for an unmanned hydropower station, which is characterized by comprising the following steps of:
(1) The operation duty management system automatically generates an unmanned duty task list of each power station in the next day;
(2) Each power station in the river basin confirms the content of the work task list and submits the content to the centralized control center;
(3) The centralized control center reviews and confirms the work task list reported by each power station in the river basin;
(4) The operating duty management system gathers and classifies the contents of the work task list;
(5) The centralized control center issues a work task list to each power station;
(6) Each power station in the river basin confirms the work task list issued by centralized control;
(7) Executing a work task list;
(8) The operating duty management system stores, files and stores the work task list data;
(9) The database is deeply mined and the machine learns itself.
In the step (1), the duty management system acquires module data in a fixed time every day, automatically generates an unmanned duty work task list of each power station for the next day, and the power station manually inputs the work task list through a standard format so as to effectively plan the next day work through the work task list;
the module data comprises maintenance work management module data, defect intelligent management module data, command operation module data, reservoir dispatching module data and frequency modulation market module data, wherein:
the overhaul work management module data is set as overhaul ticket contents which are generated by the module and are not finished in the beginning of work and are started in the next day;
the defect intelligent management module data is set as a defect processing plan generated by the intelligent defect management module data, and the next-day defect processing content is generated;
the command operation module data is set as a scheduling command and a centralized control command generated by the module;
the reservoir dispatching module data are set into various power station reservoir water levels, reservoir entering and exiting flow, forecast flow and water level control plans generated by the module;
the frequency modulation market module data are set as the next day pre-bid condition, the next day plan exit AGC period and the working content of each power station generated by the module;
so as to generate an unattended work task sheet;
in the step (2), a work task sheet automatically generated by the duty management system is operated, the power station can be manually corrected, and the work task sheet is reported to the centralized control center at fixed time every day so as to be manually corrected, and the instruction is ensured to be correct;
in the step (3), the centralized control attendant refers to whether each power station in the river basin reports the next day of unmanned duty task list on time according to the specified requirement, and for the reported power stations, the centralized control attendant needs to carefully review and confirm, and for the power stations which are not reported on time according to the specified requirement, the system is automatically locked, and the system needs to be manually unlocked by the centralized control center and can report, so that accidents caused by errors are avoided;
in the step (4), the operating duty management system gathers and classifies the contents of the work task list, describes, positions and searches the scattered information of each power station, and layers and classifies the information based on file description information and extracted keywords, so that the information is structured, resource information is conveniently checked in a layering and classifying mode, and the classified information is provided with 'urgent', 'important', 'general' labels according to the importance degree and is sequenced for standby according to the importance degree;
the content of the work task sheet comprises operation, defect management, overhaul maintenance and other coordination communication matters needing centralized control centers, wherein:
the operation part has a safe error prevention function, the operation state of the equipment is automatically matched and obtained through the monitoring system data acquisition and control system, whether the conversion between the initial state and the end state of the operation equipment meets the error prevention rule or not is checked, whether the operation condition is met under the current monitoring system equipment state or not is checked, if the operation rule and the operation condition are met, an operation task list is generated according to the operation task, if any one of the operation task lists does not meet the operation rule, the operation task list is returned to the previous process, and corresponding error prevention reminding is popped up;
the defect management part automatically generates a defect processing list according to the alarm equipment and the big data analysis, and the operation duty management system acquires a defect list from the defect intelligent management system, wherein the defect list comprises defect contents, a defect processing plan and security measures required by defect processing, and generates a next-day defect processing task list;
the overhaul and maintenance part has an information retrieval and comparison function, and obtains corresponding contents by intelligently retrieving corresponding contents from offline files such as overhaul and maintenance regulation and the like, obtains safety measures, notes and the like required by overhaul and maintenance work, compares the equipment operation state obtained by a monitoring system, automatically judges the necessity and rationality of the overhaul and maintenance work, and automatically generates an overhaul task list including overhaul and maintenance contents, safety measures, notes and the like if the overhaul and maintenance work meets regulation requirements and the equipment operation state meets requirements, otherwise returns to the previous flow;
other communication matters needing centralized control and coordination include: because of temporary defect elimination, unit operation optimization, unit rotation and other conditions needing centralized control to assist in adjusting the operation mode, other matters needing coordination in safe production are generated by the system in default, if the centralized control center is needed to coordinate the communication matters, the power station can be manually input according to actual conditions;
so as to carry out a series of settings, and make the tasks smoothly and normally carried out;
in the step (5), the centralized control center examines the work task list classified by the system and issues the work task list to each power station;
in the step (6), each power station in the river basin confirms feedback information of the centralized control center, so that the consistency of information between centralized control and the power stations is ensured, and the purpose of information communication is achieved;
in the step (7), the work task list after the power station is confirmed is executed in a rotating way, and the execution link comprises the execution of the work task list of equipment managed by the power station, the execution of the work task list of the power station which is matched with centralized control or is required to be permitted by the centralized control;
the power station self-administration device is arranged in such a way that the power station can directly carry out related work for the self-administration device according to the work task list;
the power station is matched with the centralized control or the work which needs centralized control permission, the work application is submitted before the work is carried out, and the work can be carried out after the centralized control attendant agrees;
in the step (8), the operation duty management system stores, files and stores the work task sheet data, and the database can be applied to a big data intelligent analysis platform and a centralized control operation handover scene;
the archive storage data is introduced into a big data intelligent analysis platform to carry out data deep mining, useful information is extracted, and characters, tables and visual graphics are adopted to display the data;
the unattended work task list is archived and handed over along with the daily running of the centralized control center, so that the continuity and traceability of the work are ensured, and the operation management and regulation and control of an unattended power station are facilitated;
in the step (9), the stored and archived data is deeply mined, useful information is extracted, data regression analysis is carried out, analysis information is introduced into a robot interface, learning behaviors of human beings are simulated or realized, self-learning is carried out on the data, and a machine learning system finds a statistical structure from a plurality of examples related to a certain task, so that rules are finally found to be continuously optimized and promoted.
Claims (9)
1. An intelligent operation management method for an unmanned hydropower station is characterized by comprising the following steps:
(1) The operation duty management system automatically generates an unmanned duty task list of each power station in the next day;
(2) The on-duty management system acquires module data in a daily fixed time, automatically generates an unmanned on-duty work task list of each power station in the next day, or manually inputs the work task list in each power station in a drainage basin through a standard format, confirms and manually corrects the content of the work task list, and reports the work task list to the centralized control center in the daily fixed time;
(3) The operator of the centralized control center checks whether each power station of the watershed reports the next day unmanned on duty work task list according to the specified requirement on time, for the reported power stations, the operator of the centralized control center checks and confirms the work task list reported by each power station of the watershed, for the power stations which are not reported according to the specified requirement on time, the system is automatically locked, and the manual unlocking of the centralized control center can report the work task list;
(4) The operating duty management system gathers and classifies the content of the work task list, describes, positions and searches the scattered information of each power station, and layers and classifies the information based on file description information and extracted keywords, so that the information is structured, resource information is conveniently checked in a layered and classified mode, and the classified information is provided with urgent, important and general labels according to the importance degree and is sequenced according to the importance degree for standby;
(5) The centralized control center examines the work task list classified by the system and issues the work task list to each power station;
(6) Each power station in the river basin confirms the work task list issued by centralized control;
(7) Executing a work task list;
(8) The operating duty management system stores, files and stores the work task list data;
(9) The database is deeply mined and the machine learns itself.
2. The intelligent operation management method for the unmanned hydropower station according to claim 1, wherein the module data comprises maintenance work management module data, defect intelligent management module data, command operation module data, reservoir dispatching module data and frequency modulation market module data, wherein: the overhaul work management module data is set as overhaul ticket contents which are generated by the module and are not finished in the beginning of work and are started in the next day; the defect intelligent management module data is set as a defect processing plan generated by the intelligent defect management module data, and the next-day defect processing content is generated; the command operation module data is set as a scheduling command and a centralized control command generated by the module; the reservoir dispatching module data are set into various power station reservoir water levels, reservoir entering and exiting flow, forecast flow and water level control plans generated by the module; the frequency modulation market module data are set to be the next day pre-bid condition and the next day plan exit AGC period and work content of each power station generated by the module.
3. The intelligent operation management method for the unattended hydropower station according to claim 1, wherein the work task sheet content comprises: operation, defect management, overhaul maintenance and other coordination communication items needed by the centralized control center, wherein:
the operation has a safe error prevention function, the operation state of the equipment is automatically matched and obtained through the monitoring system data acquisition and control system, whether the conversion between the initial state and the end state of the operation equipment meets the error prevention rule or not is checked, whether the operation condition is provided under the current monitoring system equipment state or not is judged, if the operation rule and the operation condition are met, an operation task list is generated according to the operation task, if any one of the operation task list does not meet the operation task list, the operation task list is returned to the previous process, and corresponding error prevention reminding is popped up;
the defect management part automatically generates a defect processing list according to the alarm equipment and the big data analysis, and the operation duty management system acquires a defect list from the defect intelligent management system, wherein the defect list comprises defect contents, a defect processing plan and security measures required by defect processing, and generates a next-day defect processing task list;
the overhaul and maintenance part has an information retrieval and comparison function, and obtains corresponding contents by intelligently retrieving corresponding contents from offline files such as overhaul and maintenance regulation and the like, obtains safety measures, notes and the like required by overhaul and maintenance work, compares the equipment operation state obtained by a monitoring system, automatically judges the necessity and rationality of the overhaul and maintenance work, and automatically generates an overhaul task list including overhaul and maintenance contents, safety measures, notes and the like if the overhaul and maintenance work meets regulation requirements and the equipment operation state meets requirements, otherwise returns to the previous flow;
other communication matters needing centralized control and coordination include: because of the situations of temporary defect elimination, unit operation optimization, unit rotation and the like which need centralized control to assist in adjusting the operation mode, other matters needing coordination in safe production are generated by the system in a default mode, if the matters needing coordination of a centralized control center are communicated, the power station can be manually input according to actual situations.
4. The intelligent operation management method for the unattended hydropower station according to claim 1, wherein in the step (6), each power station in the river basin confirms feedback information of a centralized control center, so that information consistency between the centralized control and the power stations is ensured, and the purpose of information communication is achieved.
5. The intelligent operation management method for the unattended hydropower station according to claim 1, wherein in the step (7), the work task list after the confirmation of the hydropower station is executed in a rotating way, and the execution link comprises the execution of the work task list of equipment in the power station self-administration, the execution of the work task list of the power station which needs to be matched with centralized control or needs to be permitted by the centralized control.
6. The intelligent operation management method for the unmanned hydropower station according to claim 1, wherein in the step (8), the operation on-duty management system stores, files and stores the work task sheet data, and the database can be applied to a scene of a big data intelligent analysis platform and centralized control operation handover.
7. The intelligent operation management method for the unattended hydropower station according to claim 1, wherein the archive storage data are introduced into a big data intelligent analysis platform to conduct data deep mining, useful information is extracted, and characters, tables and visual graphics are adopted to display the data.
8. The intelligent operation management method for the unmanned hydropower station according to claim 1, wherein the unmanned on duty work task sheet is archived and handed over with the operation of the centralized control center every day, so that the continuity and traceability of the work are ensured.
9. The intelligent operation management method of the unmanned hydropower station according to claim 1, wherein in the step (9), the stored and archived data is deeply mined, useful information is extracted, data regression analysis is performed, analysis information is introduced into a robot interface, learning behaviors of human beings are simulated or realized, self-learning is performed on the data, and a machine learning system finds a statistical structure from a plurality of examples related to a certain task, so that finally, rules are found to be optimized and improved continuously.
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