Method and storage medium for multi-dimensional control of interaction mode and full event optimization aggregation

Abstract

The present application provides a method and storage medium for multi-dimensional control interaction mode and full event optimization aggregation, through the association of workgroup group and control event information, and the establishment of a full process event chain information library, through the control event information and historical control event information matching, after the match is successful, the workgroup group members perform operations according to the corresponding instructions, and generate relevant file information, after the match fails, a control event demand list is generated; and the file information or the control event demand list is saved to the full process event chain information library. It can realize the multi-dimensional control interaction and full event optimization aggregation of the power grid, greatly improve the work efficiency of the power grid dispatching station, reduce safety risks, realize the intelligent association of multi-source information, provide intelligent auxiliary services for controllers, improve the efficiency of power grid event information processing, and make the control operation work more efficient, safer and smarter.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power automation, and in particular relates to a method for multi-dimensional control interaction mode and full-event optimization aggregation. Background Art

[0002] With the rapid development of the Internet, major theoretical innovations and application breakthroughs in the application of artificial intelligence technology at home and abroad have provided useful reference and reference for solving some difficult problems in the field of power grid dispatching.

[0003] As the power grid continues to develop, the traditional interactive control mode is cumbersome, prone to interruption, multi-threaded, and has extremely high requirements for real-time response and requires a cross-platform and cross-system multi-party collaboration environment, which poses a challenge to the efficiency and security of control work. At present, the analysis of power grid events still requires multi-system and multi-page access, lacks technical support for intelligent decision-making, and is difficult to trace the source of the entire process of important time. In view of the actual application of the current dispatching system, the control operation support technology still has a strong demand for improvement and a large development space. Summary of the invention

[0004] The purpose of this application is to provide a method storage medium and computer equipment for multi-dimensional control interaction mode and full event optimization aggregation to improve the processing efficiency of power grid dispatch event information.

[0005] The present application provides a method for multi-dimensionally regulating interaction modes and optimizing aggregation of all events, including the following steps:

[0006] Acquire control event information, and establish a working group based on the control event information;

[0007] Establishing a full-process event chain information database based on the control event information associated with the workgroup group;

[0008] Matching the regulation event information with historical regulation event information;

[0009] Determine whether the control event information matches the historical control event information successfully. If the match is successful, issue instructions to the work group, and the work group members perform operations according to the corresponding instructions and generate relevant file information. If not, generate a control event requirement list;

[0010] The file information or the regulation event requirement list is recorded and saved in the full-process event chain information library.

[0011] Optionally, the method for multi-dimensionally regulating the interaction mode and optimizing the aggregation of all events further includes the following steps:

[0012] Prioritize the control event information.

[0013] Optionally, in the method of multi-dimensional control interaction mode and full event optimization aggregation, the control event information includes operation information, maintenance information, accident plan information, management regulations information and danger point information.

[0014] Optionally, in the method of the multi-dimensional control interaction mode and the full event optimization aggregation, the method of judging whether the control event information matches the historical control event information successfully comprises the following sub-steps:

[0015] Reading the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information;

[0016] The historical control event information is traversed to check whether there is information that is consistent with the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information. If so, the match is successful, if not, the match is unsuccessful.

[0017] Optionally, in the method of the multi-dimensional control interaction mode and the full event optimization aggregation, the method of generating the control event requirement list includes the following sub-steps:

[0018] Performing a difference comparison between the unsuccessfully matched regulation event information and the historical regulation event information to obtain a difference comparison result;

[0019] A regulatory event requirement list is generated according to the difference comparison results.

[0020] Optionally, in the method of multi-dimensional regulation of interaction mode and full-event optimization aggregation, the file information includes call recording information, video image information and text material information.

[0021] Optionally, in the method of multi-dimensional control interaction mode and full event optimization aggregation, before executing the step of obtaining control event information and establishing a working group based on the control event information, the following steps are also included: iteratively learning historical control event information to establish a historical full-process event chain information library;

[0022] Furthermore, when executing the steps of acquiring control event information and establishing a working group based on the control event information, the acquired control event information is pre-processed and decision-making assisted according to the historical full-process event chain information library.

[0023] Optionally, in the method of multi-dimensional control interaction mode and full event optimization aggregation, before executing the step of obtaining control event information and establishing a working group based on the control event information, the following steps are also included: identifying members of the working group;

[0024] Furthermore, when executing the steps of obtaining the regulation event information and establishing a working group based on the regulation event information, the member information that has successfully passed the certification is associated with the regulation event information.

[0025] On the other hand, the present application also provides a storage medium, on which a computer program is stored, and the computer program is used to implement the above-mentioned multi-dimensional control interaction mode and full-event optimization aggregation method.

[0026] On the other hand, the present application also provides a computer device, including the above-mentioned storage medium.

[0027] Compared with the prior art, the multi-dimensional control interaction mode and the method of optimizing and aggregating all events provided by the present application associate the workgroup with the control event information, and establish a full-process event chain information library, and match the control event information with the historical control event information. After the match is successful, the workgroup members perform operations according to the corresponding instructions and generate relevant file information. After the match fails, a control event requirement list is generated; and the file information or the control event requirement list is saved to the full-process event chain information library. The multi-dimensional control interaction and the optimization and aggregation of all events of the power grid can be realized, which greatly improves the working efficiency of the power grid dispatching station, reduces safety risks, realizes the intelligent association of multi-source information, provides intelligent auxiliary services for controllers, improves the efficiency of power grid event information processing, and makes the control operation more efficient, safer, and smarter. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of the method for multi-dimensional control interaction mode and full event optimization aggregation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] To make the purpose, advantages and features of this application more clear, the following Figure 1 The method, storage medium and computer device for multi-dimensional control interaction mode and full event optimization aggregation proposed in this application are further described in detail. It should be noted that the drawings are all in a very simplified form and in an inaccurate proportion, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of this application.

[0030] See also Figure 1 , the present application provides a method for multi-dimensionally regulating interaction mode and full event optimization aggregation, including the following steps:

[0031] Step 110, obtain the control event information, and establish a working group based on the control event information. After obtaining the control event information, the power grid system responds to the triggering of the control event information, automatically generates a list of coordination units involved in the control event information, and automatically forms a working group based on the control event information.

[0032] Step 120: Establish a full-process event chain information library based on the control event information associated with the workgroup group, and establish the full-process event chain information library through all data of the corresponding control event information associated with the workgroup group.

[0033] Step 130, matching the regulation event information with historical regulation event information.

[0034] Step 140, determine whether the control event information matches the historical control event information successfully. If the match is successful, issue instructions to the workgroup group, and the workgroup group members perform operations according to the corresponding instructions and generate relevant file information. If not, generate a control event requirement list.

[0035] Step 150, record and save the file information or the control event requirement list to the full-process event chain information library. When all members of the work group have executed the instructions, the work group is automatically disbanded, and the file information and the control event requirement list are saved to the full-process event chain information library. In this way, the full-process event chain information library can realize retrospective evaluation, big data analysis, and scene reproduction of the control event information.

[0036] The multi-dimensional control interaction mode and the method of full-event optimization aggregation provided in this embodiment can realize multi-dimensional control interaction and full-event optimization aggregation of the power grid, greatly improve the work efficiency of the power grid dispatching station, reduce safety risks, realize intelligent association of multi-source information, provide intelligent auxiliary services for controllers, improve the efficiency of power grid event information processing, and make control operations more efficient, safer and smarter.

[0037] Preferably, the method for multi-dimensionally regulating the interaction mode and optimizing the aggregation of all events further comprises the following steps:

[0038] The control event information is prioritized. Specifically, the keywords in the voice information can be captured synchronously through voice recognition technology to form an event priority sequence, and a basic priority rule library and weight dictionary can be established. When an accident takes precedence over anomalies, the online safety analysis and real-time alarm information of the power grid can be verified with the voice recognition results across platforms to achieve multi-business data association. The priority of hot spots and hot keywords can be improved, and the weight dictionary can be automatically adjusted through intelligent analysis of manual operation behaviors and machine learning to track power grid operation hot spots in real time.

[0039] Among them, the control event information includes operation information, maintenance information, accident plan information, management regulations information and danger point information, that is, obtaining the control event information is to obtain the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information. Correspondingly, when the control event information successfully matches the historical control event information, the instructions issued to the work group are control operation instructions, maintenance instructions, instructions for forming corresponding accident plans, instructions for matching corresponding management regulations or instructions for checking danger points. When executing the above instructions, the related file information generated may be one or more of call recording file information, video image file information and text file information.

[0040] Preferably, the method for determining whether the regulation event information matches the historical regulation event information successfully comprises the following sub-steps:

[0041] Reading the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information;

[0042] The historical control event information is traversed to check whether there is information that is consistent with the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information. If so, the match is successful, if not, the match is unsuccessful.

[0043] In one embodiment of the present application, the method for generating the regulation event requirement list includes the following sub-steps:

[0044] Performing a difference comparison between the unsuccessfully matched regulation event information and the historical regulation event information to obtain a difference comparison result;

[0045] A regulatory event requirement list is generated according to the difference comparison results.

[0046] Preferably, before executing step 110, obtaining control event information, and establishing a working group based on the control event information, the following steps are also included: iteratively learning the historical control event information to establish a historical full-process event chain information library, which is the premise and basis for the control event information to match the historical control event information. And, when executing the steps of obtaining control event information and establishing a working group based on the control event information, the obtained control event information is preprocessed and decision-assisted according to the historical full-process event chain information library, wherein artificial intelligence can be used to preprocess the control event information, thereby improving the processing efficiency. Specifically, through big data analysis, the data in the historical full-process event chain information library is iteratively learned, and after the power grid system responds to the triggering of the obtained control event information, the control event information is preprocessed and decision-assisted, completing the work of stable calculation, drafting of operation tickets, and preliminary preparation of accident plans, and accurately pushing information to the working group members to improve the intelligent decision support function.

[0047] Preferably, in the method of multi-dimensional control interaction mode and full event optimization aggregation, before executing step 110, obtaining control event information, and establishing a work group based on the control event information, the following steps are also included: the members of the work group can be identified, and the voice and video materials can be automatically associated with the name, plant and station, and work qualification information of the plant and station personnel through voiceprint recognition technology, semantic recognition and analysis technology, face recognition technology, and fingerprint recognition technology, and automatically determine whether the plant and station personnel are qualified to join the work group and whether they are qualified to receive orders. Furthermore, based on semantic recognition and analysis technology, the one-to-one correspondence between operation instructions and dispatcher orders can be achieved through the semantics of the dispatcher. Of course, the one-to-one correspondence between operation instructions and dispatcher orders can also be achieved through two or more recognition methods of voiceprint recognition technology, semantic recognition and analysis technology, face recognition technology, and fingerprint recognition technology. This can not only greatly reduce the probability of misoperation, but also verify the instructions generated based on the control event information to supervise the dispatcher's operating behavior and give relevant reminders to the dispatcher for improper operating behavior. Also, when executing step 110, obtaining the control event information and establishing a working group based on the control event information, the member information that has successfully passed the certification will be associated with the control event information. In this way, the power grid system can realize a multi-dimensional control interaction mode and full event optimization, thereby improving the control efficiency.

[0048] On the other hand, the present application also provides a storage medium, on which a computer program is stored, and the computer program is used to implement the above-mentioned multi-dimensional control interaction mode and full-event optimization aggregation method.

[0049] On the other hand, the present application also provides a computer device, including the above-mentioned storage medium.

[0050] The above description is only a description of the preferred embodiments of the present application, and is not intended to limit the scope of the present application. Any changes or modifications made by a person of ordinary skill in the art based on the above disclosure shall fall within the scope of protection of the claims.

Claims

1. A method for multi-dimensionally regulating interaction mode and optimizing aggregation of all events, characterized in that: The following steps are involved: Acquire control event information, and establish a working group based on the control event information; Establishing a full-process event chain information library based on the control event information associated with the workgroup group; Matching the regulation event information with historical regulation event information; Determine whether the control event information matches the historical control event information successfully. If the match is successful, issue instructions to the work group, and the work group members perform operations according to the corresponding instructions and generate relevant file information. If not, generate a control event requirement list; Record and save the file information or the regulation event requirement list to the whole process event chain information library; Wherein, the control event information includes operation information, maintenance information, accident plan information, management regulation information and danger point information; the method for judging whether the control event information matches the historical control event information successfully includes the following sub-steps: Reading the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information; Traverse and query the historical control event information to see whether there is information that is consistent with the operation information, maintenance information, accident plan information, management regulations information and danger point information in the control event information. If so, the match is successful; if not, the match is unsuccessful; Before executing the step of acquiring the control event information and establishing the working group based on the control event information, the following steps are also included: iteratively learning the historical control event information to establish a historical full-process event chain information library; And, when executing the steps of obtaining control event information and establishing a working group group based on the control event information, the obtained control event information is preprocessed and decision-making assistance is performed according to the historical full-process event chain information library; wherein, artificial intelligence is used to preprocess the control event information, and through big data analysis, the data in the historical full-process event chain information library is iteratively learned, and after the power grid system responds to the triggering of the obtained control event information, the control event information is preprocessed and decision-making assistance is performed, and the work of stable calculation, operation ticket drafting, and preliminary preparation of accident plans is completed, and accurate information is pushed to the members of the working group group.

2. According to claim 1, a method for multi-dimensional control interaction mode and full event optimization aggregation is characterized in that: The following steps are also included: Prioritize the control event information.

3. The method for multi-dimensional control interaction mode and full event optimization aggregation according to claim 1 is characterized in that: The method for generating the regulation event requirement list comprises the following sub-steps: Performing a difference comparison between the unsuccessfully matched regulation event information and the historical regulation event information to obtain a difference comparison result; A regulatory event requirement list is generated according to the difference comparison results.

4. The method for multi-dimensional control interaction mode and full event optimization aggregation according to claim 1 is characterized in that: The file information includes call recording information, video image information and text material information.

5. The method for multi-dimensional control interaction mode and full event optimization aggregation according to claim 1 is characterized in that: Before executing the step of acquiring the control event information and establishing a working group based on the control event information, the following steps are also included: identifying members of the working group; Furthermore, when executing the steps of obtaining the regulation event information and establishing a working group based on the regulation event information, the member information that has successfully passed the certification is associated with the regulation event information.

6. A storage medium, characterized in that: The storage medium stores a computer program, which is used to implement the method of multi-dimensional control interaction mode and full-event optimization aggregation described in any one of claims 1 to 5.

7. A computer device, characterized in that: Comprising the storage medium as claimed in claim 6.

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