Power distribution hot-line work ticket invoicing big data processing optimization system

Abstract

The invention relates to the technical field of power grid automation, in particular to a power distribution hot-line work ticket billing big data processing optimization system which comprises a structured database, a safety measure library, a ticket forming rule library and a typical ticket knowledge library which are arranged in a ticket face knowledge library. The information acquisition module is used for acquiring the information in the ticket face knowledge base and automatically generating the operation work ticket, the ticket face verification module is used for performing ticket face information verification on the automatically generated operation work ticket, then acquiring the final-version operation work ticket and transmitting the operation work ticket to the PMS 3.0 system, so that the intelligent invoicing process of the work ticket is realized; according to the invention, the tedious process of manual filling is reduced, the efficiency of work ticket generation is optimized, the time cost is saved, and meanwhile, the mutual cooperation and information sharing among the modules realize the effective integration and cooperative work of resources, so that the whole operation work ticket generation system is more efficient and stable.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid automation, and in particular to a big data processing and optimization system for issuing invoices for live power distribution operations. Background Art

[0002] The live distribution work ticket is a written document used to permit and guide on-site work when live distribution work is being carried out. It is an important basis for ensuring the safe and orderly conduct of live work, and records key information such as work tasks, personnel division of labor, and safety measures. It is equivalent to the "operation guide" and "safety guarantee book" for live work.

[0003] The prior art CN117611082A discloses a system and method for automatically generating construction work tickets for distribution network projects, including a site survey filling module, a site survey report generating module, a site survey report backfilling module, a construction work information input module, a construction work ticket generating module, a construction work ticket backfilling module, a wireless data communication module and a storage module. At the same time, the present invention also discloses a method for automatically generating construction work tickets for distribution network projects, including field survey, filling in construction site information item by item, automatically generating a survey report and sending it for review, inputting construction work information as a whole according to a typical classification template, automatically generating a construction work ticket and sending it for review, and automatically and regularly updating and backing up construction data.

[0004] However, the current workload of issuing work tickets for live work is large and requires a lot of labor costs. The large amount of labor costs easily leads to the diversification of the filling format of work tickets. During the review and actual use, a lot of time is needed to confirm the information of the work tickets, thereby reducing the efficiency of issuing work tickets and the work efficiency of power operations. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose a big data processing optimization system for issuing work tickets for live distribution work.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A big data processing and optimization system for issuing work tickets for live power distribution work, comprising: Ticket knowledge base, which is used to form information storage space for different attributes of work ticket equipment based on ticket information, including structured database, safety measures library, ticket rule library and typical ticket knowledge base; The automatic ticket generation module is used to retrieve the information in the ticket knowledge base according to the work plan and automatically generate the operation work ticket, including: first, the structured database identifies the operation scenario in the work plan, and then identifies the corresponding ticket template in the typical ticket knowledge base according to the operation scenario. After that, the structured database identifies the information on the ticket template and determines the filling information of the ticket template. At the same time, the single-line diagram structure of the work area is identified in the system and marked as the area structure diagram. The area structure diagram is then converted into a language description structure. At the same time, the safety measures library generates hazard prevention measures based on the language description structure. Finally, the ticket generation rule library automatically generates the operation work ticket according to the work plan, area structure diagram and hazard prevention measures.

[0007] As a further solution of the present invention, in the ticket knowledge base: The structured database is used to identify the structured data in the operation work ticket according to the operation work ticket template, and build a structured data model based on the PMS3.0 system. The structured data includes units, teams, work leaders, work shift personnel, work tasks, planned working hours, safety measures, risk point prevention and control measures, and precautions; The safety measures library is used to determine the dangerous points in power distribution operations, formulate safety rules based on historical operation information and policy documents, and enter the safety rules into the system to form a safety measures library. At the same time, the system supports maintenance and management of the safety measures library, including adding, editing and deleting. The ticketing rule base is used to integrate the ticketing rules of the work tickets; The typical ticket knowledge base is used to obtain historical operation work tickets of the power system, take typical work tickets from the historical operation work tickets, and integrate the typical work tickets to build a typical ticket knowledge base.

[0008] As a further solution of the present invention, in the process of identifying the corresponding ticket template in the typical ticket knowledge base: Identify the work plan in the operation system. When a new work plan is detected in the operation system, the automatic ticket module generates a processing signal and transmits it to the typical ticket knowledge base; When the typical ticket knowledge base detects a processing signal, it obtains the work plan, identifies the information subject of the work plan, and determines the operation scenario of the operation work ticket; Among them, the operation work ticket includes the first type of work ticket, the second type of work ticket and the live work ticket. Among them, the information subject of the first type of work ticket is the work on the high-voltage equipment that requires power outage or safety measures, the information subject of the second type of work ticket is the work on the secondary wiring and lighting circuits that does not touch the high-voltage equipment and does not require power outage treatment for the high-voltage equipment, and the information subject of the live work ticket is the live work or the work that is less than a certain safety distance from the adjacent live equipment; According to the operation scenario of the work ticket, the corresponding ticket template is identified in the typical ticket knowledge base, and the ticket template is transferred to the structured database.

[0009] As a further solution of the present invention, a method for obtaining a regional structure diagram and a language description structure includes: When the structured database detects the ticket template, the information in the ticket template is identified to determine the filled-in information of the ticket template; In the PMS3.0 system, the single-line diagram of the power grid is retrieved to obtain the work plan and identify the work area in the work plan. Then, the single-line diagram structure of the work area is extracted from the single-line diagram of the power grid and marked as a regional structure diagram. Identify the power equipment in the regional structure diagram, use natural language processing and conversion algorithms to first identify the equipment name of the power equipment, and then describe the connection relationship between the power equipment using text language according to the power structure between the power equipment to obtain a language description structure.

[0010] As a further solution of the present invention, when converting the regional structure diagram into a language description structure, it is necessary to unify the name formats of the equipment names and line names of the power equipment respectively to ensure the consistency of the safety terms in the regional structure diagram.

[0011] As a further solution of the present invention, a method for generating risk prevention measures includes: S31: obtaining the power equipment and its equipment name in the regional structure diagram, using the equipment name as a search keyword, searching in the safety measures library, and marking the search result as initial relevant information; The safety measures library contains complete safety rules for live distribution operations, and the safety rules in the safety measures library are derived from historical operation information and policy documents. The historical operation information refers to emergency safety accidents and corresponding protective measures that occurred during live distribution operations. S32: Acquire a work plan, identify the work type in the work plan, the work type includes equipment maintenance, fault repair and line reconstruction, and acquire a language description structure, use the work type as a first keyword, use the language description structure as a second keyword, and combine the first keyword and the second keyword into a keyword group; Obtaining initial relevant information, and using a vector space model algorithm to calculate information matching values ​​Pi of the initial relevant information and the second keyword, where i represents different initial relevant information; Using the formula Zi=Pi×a1 Yi Get the terminal matching value Zi, a1 is a constant, Yi indicates whether the first keyword appears in the initial related information i, if the first keyword appears, Yi takes the value of 1, if not, Yi takes the value of 0; Compare the terminal matching value Zi of the initial relevant information i with the matching threshold, identify the initial relevant information i whose terminal matching value Zi is greater than or equal to the matching threshold, and mark it as a hazard prevention and control measure for this work plan.

[0012] As a further solution of the present invention, in the ticket rule library, RPA technology is used to automatically enter the work plan, area structure diagram and hazard prevention measures into the ticket template, thereby generating an operation work ticket.

[0013] As a further solution of the present invention, it also includes a ticket verification module for verifying the ticket information of the automatically generated operation work ticket, wherein the ticket information verification includes viewing, editing and confirming the information, and generating a verification completion signal when the ticket information verification is completed; When the system detects the verification completion signal, it obtains the final version of the operation work ticket and transmits the operation work ticket to the PMS3.0 system, thereby realizing the intelligent invoicing process of the work ticket.

[0014] Compared with the prior art, the advantages of the present invention are: The present invention sets a structured database, a safety measure library, a ticket generation rule library and a typical ticket knowledge base in the ticket knowledge base, and uses an automatic ticket generation module to call the information in the ticket knowledge base, thereby automatically generating the operation work ticket, reducing the cumbersome process of manual filling, optimizing the efficiency of work ticket generation, saving time and cost, and at the same time, the modules cooperate with each other and share information, realizing the effective integration and collaborative work of resources, making the entire operation work ticket generation system more efficient and stable; The safety measures library in the present invention generates hazard prevention measures based on the language description structure converted from the regional structure diagram, which can comprehensively and specifically identify potential hazards in the operation process and formulate corresponding prevention measures to effectively reduce operation risks and ensure the safety of personnel, equipment and working environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0017] Reference Figure 1 , a big data processing and optimization system for issuing work tickets for live power distribution work, including a ticket knowledge base, an automatic ticket generation module and a ticket verification module; The ticket knowledge base is used to form an information storage space for setting different attributes for the work ticket according to the ticket information. The ticket knowledge base includes a structured database, a safety measures database, a ticket rule database, and a typical ticket knowledge base. The structured database is used to identify the structured data in the operation work ticket according to the operation work ticket template, and build a structured data model based on the PMS3.0 system. The structured data includes units, teams, work leaders, work shift personnel, work tasks, planned working hours, safety measures, risk point prevention and control measures, and precautions, etc.; The safety measures library is used to determine the dangerous points in power distribution operations, formulate safety rules based on historical operation information and policy documents, and enter the safety rules into the system to form a safety measures library. At the same time, the system supports maintenance and management of the safety measures library, including adding, editing and deleting. The ticketing rule base is used to integrate the ticketing rules of the operation work ticket and build the ticketing rule base of the operation work ticket based on the ticketing rules; The typical ticket knowledge base is used to obtain the historical operation tickets of the power system, take the typical work tickets in the historical operation tickets, integrate the typical work tickets, build the typical ticket knowledge base, and then provide historical reference experience for the automatic generation of ticket content; The automatic ticket generation module is used to identify the work plan, retrieve the information in the ticket knowledge base according to the work plan content, and automatically generate the operation work ticket. The specific method of automatically generating the operation work ticket includes: S1: Identify the work plan in the operation system. When a new work plan is detected in the operation system, the automatic ticket generation module generates a processing signal and transmits it to the typical ticket knowledge base. At the same time, the operation system transmits the work plan to the structured database and the typical ticket knowledge base respectively; When the typical ticket knowledge base detects a processing signal, it obtains the work plan, identifies the information subject of the work plan, and determines the operation scenario of the operation work ticket; Furthermore, the operation work ticket includes the first type of work ticket, the second type of work ticket and the live work ticket, wherein the information subject of the first type of work ticket is the work on the high-voltage equipment that requires power outage or safety measures, the information subject of the second type of work ticket is the work on the secondary wiring and lighting circuits that does not touch the high-voltage equipment and does not require power outage treatment for the high-voltage equipment, and the information subject of the live work ticket is the live work or the work that is less than a certain safety distance from the adjacent live equipment; According to the operation scenario of the work ticket, the corresponding ticket template is identified in the typical ticket knowledge base, and the ticket template is transferred to the structured database, where the ticket template includes the ticket layout, required items, and filling order, etc.; S2: When the structured database detects the ticket template, the information in the ticket template is identified to determine the filled-in information of the ticket template; In the PMS3.0 system, the single-line diagram of the power grid is retrieved to obtain the work plan and identify the work area in the work plan. Then, the single-line diagram structure of the work area is extracted from the single-line diagram of the power grid and marked as a regional structure diagram. Identify the power equipment in the regional structure diagram, and then use the artificial intelligence algorithm to convert the regional structure diagram into a language description structure, that is, first identify the equipment name of the power equipment according to the regional structure diagram, and then describe the connection relationship between the power equipment using text language according to the power structure between the power equipment to obtain a language description structure. For example, the capacity of the No. 1 main transformer is 50000kVA, and the transformation ratio is 220kV / 110kV. The 220kV high voltage electricity is stepped down and transmitted to the 110kV busbar, and the busbar is connected to the next-level substation through a 110kV transmission line with a length of 10km and a model of LGJ-300; The artificial intelligence algorithm in this embodiment is selected as a natural language processing and conversion algorithm, that is, the structural features in the regional structure diagram are first extracted using a neural network algorithm, and then the structural features are described using natural language processing technology. The specific processing process is prior art and will not be described in detail here. It should be further explained that when converting the regional structure diagram into a language description structure, the name format of the equipment name and line name of the power equipment needs to be unified, thereby ensuring the consistency of the safety terms in the regional structure diagram, and further improving the accuracy of the ticket information when automatically generating the work ticket; Afterwards, the structured database transfers both the regional structure diagram and the language description structure to the safety measures library; S3: When the safety measures library detects the regional structure diagram and the language description structure, it identifies the operation hazard points and generates hazard prevention measures based on historical operation information and policy documents. The specific method for generating hazard prevention measures includes: S31: first obtain the power equipment and its equipment name in the regional structure diagram, use the equipment name as a search keyword, and search in the safety measures library, and mark the search result as initial relevant information; Among them, the safety measures library contains complete safety rules for live distribution operations, and the safety rules in the safety measures library are all derived from historical operation information and policy documents; Furthermore, the historical operation information refers to emergency safety accidents that occurred during the historical live distribution operations and the corresponding protective measures; S32: Obtaining a work plan, identifying a work type in the work plan, the work type including equipment maintenance, fault repair, and line reconstruction, etc., and obtaining a language description structure, taking the work type as a first keyword, taking the language description structure as a second keyword, and combining the first keyword and the second keyword into a keyword group; Obtaining initial relevant information, and calculating information matching values ​​Pi of the initial relevant information and the second keyword, where i represents different initial relevant information; It should be further explained that, in this embodiment, a vector space model algorithm is used to calculate the information matching value, wherein the specific processing process of the vector space model algorithm is a prior art and will not be described in detail here; Then use the formula Zi=Pi×a1 Yi The terminal matching value Zi is obtained, a1 is a constant, and the value of a1 is obtained by a person skilled in the art after big data calculation, Yi indicates whether the first keyword appears in the initial related information i, if the first keyword appears, Yi takes a value of 1, if not, Yi takes a value of 0; Compare the terminal matching value Zi of the initial relevant information i with the matching threshold, identify the initial relevant information i whose terminal matching value Zi is greater than or equal to the matching threshold, and mark it as the risk prevention and control measure of this work plan, wherein the specific value of the matching threshold is obtained by technicians in this field after big data calculation; Afterwards, the safety measures library transmits the hazard prevention measures to the ticket rule library; The ticket rule library is used to obtain ticket templates, work plans, area structure diagrams, and risk prevention measures. According to the ticket rules in the ticket rule library, the information is automatically entered into the ticket template using RPA technology to generate a work ticket. Afterwards, the ticket rule base transmits the operation work ticket to the ticket verification module; The ticket verification module is used to verify the ticket information of the automatically generated work ticket, where the ticket information verification includes viewing, editing and confirming the information. When the ticket information verification is completed, a verification completion signal is generated; When the system detects the verification completion signal, it obtains the final version of the operation work ticket and transmits the operation work ticket to the PMS3.0 system, thereby realizing the intelligent invoicing process of the work ticket.

[0018] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A big data processing and optimization system for issuing work tickets for live power distribution work, characterized in that: include: Ticket knowledge base, which is used to form information storage space for different attributes of work ticket equipment based on ticket information, including structured database, safety measures library, ticket rule library and typical ticket knowledge base; The automatic ticket generation module is used to retrieve the information in the ticket knowledge base according to the work plan and automatically generate the operation work ticket, including: first, the structured database identifies the operation scenario in the work plan, and then identifies the corresponding ticket template in the typical ticket knowledge base according to the operation scenario. After that, the structured database identifies the information on the ticket template and determines the filling information of the ticket template. At the same time, the single-line diagram structure of the work area is identified in the system and marked as the area structure diagram. The area structure diagram is then converted into a language description structure. At the same time, the safety measures library generates hazard prevention measures based on the language description structure. Finally, the ticket generation rule library automatically generates the operation work ticket according to the work plan, area structure diagram and hazard prevention measures.

2. A distribution live work work ticket issuance big data processing optimization system according to claim 1, characterized in that: In the ticket knowledge base: The structured database is used to identify the structured data in the operation work ticket according to the operation work ticket template, and build a structured data model based on the PMS3.0 system. The structured data includes units, teams, work leaders, work shift personnel, work tasks, planned working hours, safety measures, risk point prevention and control measures, and precautions; The safety measures library is used to determine the dangerous points in power distribution operations, formulate safety rules based on historical operation information and policy documents, and enter the safety rules into the system to form a safety measures library. At the same time, the system supports maintenance and management of the safety measures library, including adding, editing and deleting. The ticketing rule base is used to integrate the ticketing rules of the work tickets; The typical ticket knowledge base is used to obtain historical operation work tickets of the power system, take typical work tickets from the historical operation work tickets, and integrate the typical work tickets to build a typical ticket knowledge base.

3. A distribution live work work ticket issuance big data processing optimization system according to claim 1, characterized in that: In the process of identifying the corresponding ticket template in the typical ticket knowledge base: Identify the work plan in the operation system. When a new work plan is detected in the operation system, the automatic ticket module generates a processing signal and transmits it to the typical ticket knowledge base; When the typical ticket knowledge base detects a processing signal, it obtains the work plan, identifies the information subject of the work plan, and determines the operation scenario of the operation work ticket; Among them, the operation work ticket includes the first type of work ticket, the second type of work ticket and the live work ticket. Among them, the information subject of the first type of work ticket is the work on the high-voltage equipment that requires power outage or safety measures, the information subject of the second type of work ticket is the work on the secondary wiring and lighting circuit that does not touch the high-voltage equipment and does not require power outage treatment for the high-voltage equipment, and the information subject of the live work ticket is the live work or the work that is less than the safety distance from the adjacent live equipment; According to the operation scenario of the work ticket, the corresponding ticket template is identified in the typical ticket knowledge base, and the ticket template is transferred to the structured database.

4. A big data processing and optimization system for issuing live power distribution work tickets according to claim 1, characterized in that: The method for obtaining the regional structure diagram and the language description structure includes: When the structured database detects the ticket template, the information in the ticket template is identified to determine the filled-in information of the ticket template; In the PMS3.0 system, the single-line diagram of the power grid line is retrieved to obtain the work plan and identify the work area in the work plan. Then, the single-line diagram structure of the work area is extracted from the single-line diagram of the power grid line and marked as a regional structure diagram. Identify the power equipment in the regional structure diagram, use natural language processing and conversion algorithms to first identify the equipment names of the power equipment, and then describe the connection relationship between the power equipment using text language according to the power structure between the power equipment to obtain a language description structure.

5. A distribution live work work ticket issuance big data processing optimization system according to claim 4, characterized in that: When converting the regional structure diagram into a language description structure, it is necessary to unify the name formats of the equipment names and line names of the power equipment to ensure the consistency of the safety terms in the regional structure diagram.

6. A distribution live work work ticket issuance big data processing optimization system according to claim 4, characterized in that: Methods for generating hazard prevention measures include: S31: obtaining the power equipment and its equipment name in the regional structure diagram, using the equipment name as a search keyword, and searching in the safety measures library, and marking the search results as initial relevant information; The safety measures library contains complete safety rules for live distribution operations, and the safety rules in the safety measures library are derived from historical operation information and policy documents. The historical operation information refers to emergency safety accidents and corresponding protective measures that occurred during live distribution operations. S32: Acquire a work plan, identify the work type in the work plan, the work type includes equipment maintenance, fault repair and line reconstruction, and acquire a language description structure, taking the work type as the first keyword and the language description structure as the second keyword, and combining the first keyword and the second keyword into a keyword group; Obtaining initial relevant information, and using a vector space model algorithm to calculate information matching values ​​Pi of the initial relevant information and the second keyword, where i represents different initial relevant information; Using the formula Zi=Pi×a1 Yi Get the terminal matching value Zi, a1 is a constant, Yi indicates whether the first keyword appears in the initial related information i, if the first keyword appears, Yi takes the value of 1, if not, Yi takes the value of 0; Compare the terminal matching value Zi of the initial relevant information i with the matching threshold, identify the initial relevant information i whose terminal matching value Zi is greater than or equal to the matching threshold, and mark it as a hazard prevention and control measure for this work plan.

7. A big data processing and optimization system for issuing live power distribution work tickets according to claim 1, characterized in that: In the ticket rule base, RPA technology is used to automatically enter work plans, area structure diagrams, and hazard prevention measures into the ticket template to generate an operation work ticket.

8. A big data processing and optimization system for issuing live power distribution work tickets according to claim 1, characterized in that: It also includes a ticket verification module, which is used to verify the ticket information of the automatically generated operation work ticket, wherein the ticket information verification includes viewing, editing and confirming the information, and a verification completion signal is generated when the ticket information verification is completed; When the system detects the verification completion signal, it obtains the final version of the operation work ticket and transmits the operation work ticket to the PMS3.0 system, thereby realizing the intelligent invoicing process of the work ticket.

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