An intelligent monitoring system for substation switching operation tickets

Abstract

The present invention discloses an intelligent supervision system for substation switching operation tickets. The system includes a network database, a machine learning unit, a machine invoicing unit, a first manual invoicing unit, and a second manual invoicing unit. The network database is used to store operation ticket-related data; the machine learning unit is used to train historical data, obtain operation ticket template information and store it in the network database; the machine invoicing unit is used to automatically generate substation switching operation tickets based on real-time data and operation ticket template information; the first manual invoicing unit is connected to the machine invoicing unit, and is used to review the substation switching operation tickets and generate pre-audit opinions; the second manual invoicing unit is connected to the first manual invoicing unit, and is used to review the substation switching operation tickets and, based on the pre-audit opinions, obtain the final substation switching operation tickets. The technical solution provided by the present invention can significantly improve the accuracy and efficiency of invoicing and invoicing, and is more flexible.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to an intelligent monitoring system for substation switching operation tickets. Background Art

[0002] At present, the issuance and review of substation switching operation tickets rely entirely on manual labor, without any automated or intelligent technology to support them. The quality of the invoice depends on the business capabilities of the issuer and reviewer. Due to differences in personnel business capabilities, the issuance and review of tickets are inefficient and have a high probability of errors. Therefore, it is necessary to improve and optimize the review and issuance processes through technical means. Summary of the Invention

[0003] In view of the above, it is necessary to provide an intelligent supervision system for substation switching operation tickets, which can significantly improve the accuracy and efficiency of ticket issuance and ticket review. The technical solutions provided by the present invention are as follows:

[0004] In one aspect, the present invention provides an intelligent supervision system for substation switching operation tickets, which is connected to an external state grid system and is used to supervise the issuance and review of substation switching operation tickets. The supervision system includes:

[0005] A network database, which is used to store operation ticket related data;

[0006] a machine learning unit connected to the network database, the machine learning unit being used to train historical data to obtain operation ticket template information and store it in the network database, wherein the historical data includes operation ticket data and operation task data within a preset time obtained from an external state grid system;

[0007] A machine invoicing unit connected to the network database, the machine invoicing unit is used to automatically generate a substation switching operation ticket based on real-time data and the operation ticket template information, wherein the real-time data includes current operation task data obtained from an external state grid system; the operation ticket data is generated based on the current operation task data;

[0008] A first manual ticket review unit, connected to the machine ticket issuing unit, for manually reviewing the substation switching operation ticket and generating a pre-review opinion;

[0009] The second manual ticket review unit is connected to the first manual ticket review unit and is used to manually review the substation switching operation ticket and obtain the final substation switching operation ticket in combination with the pre-review opinion.

[0010] Furthermore, the historical data trained by the machine learning unit is cleaned historical data;

[0011] The supervision system also includes a data cleaning unit, which is connected to the network database. The data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database; the machine learning unit obtains the cleaned historical data from the network database and trains it to obtain operation ticket template information.

[0012] Preferably, the data cleaning unit further includes preprocessing the historical data before cleaning the historical data, and the preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection.

[0013] As an optional solution, the supervision system obtains the historical data and real-time data from an external State Grid system through the State Grid data center. The external State Grid system includes the State Grid PMS system and the State Grid dispatching system.

[0014] As another optional solution, the supervision system also obtains real-time data from an external state-owned grid system through a browser. The external state-owned grid system includes the state-owned grid PMS system and the state-owned grid dispatching system.

[0015] The supervision system further comprises a local database and a data updating unit, wherein the data updating unit is connected to the network database and is used to download operation ticket template information from the network database in a regular or real-time manner to update the operation ticket template information in the local database;

[0016] The machine invoicing unit is also connected to the local database, and is further used to generate a substation switching operation ticket based on real-time data and the operation ticket template information in the local database, wherein the real-time data includes current operation task data obtained through the browser.

[0017] On the other hand, the present invention provides an intelligent supervision system for substation switching operation tickets, which is connected to an external state grid system and is used to supervise the issuance and review of substation switching operation tickets. The supervision system includes:

[0018] A network database, which is used to store operation ticket related data;

[0019] a machine learning unit connected to the network database, the machine learning unit being used to train historical data to obtain operation ticket template information and store it in the network database, wherein the historical data includes operation ticket data and operation task data within a preset time obtained from an external state grid system;

[0020] A manual invoicing unit connected to the network database, the manual invoicing unit is used to manually generate a substation switching operation ticket based on real-time data, wherein the real-time data includes current operation task data and power system operation status data obtained from an external state grid system;

[0021] A machine ticket review unit, connected to the manual ticket issuing unit and the network database, for automatically reviewing the substation switching operation ticket based on real-time data and the operation ticket template information, and generating a pre-review opinion;

[0022] The manual ticket review unit is connected to the machine ticket review unit and is used to manually review the substation switching operation ticket and obtain the final substation switching operation ticket in combination with the pre-review opinion.

[0023] Furthermore, the historical data trained by the machine learning unit is cleaned historical data;

[0024] The supervision system also includes a data cleaning unit, which is connected to the network database. The data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database; the machine learning unit obtains the cleaned historical data from the network database and trains it to obtain operation ticket template information.

[0025] Preferably, the data cleaning unit further includes preprocessing the historical data before cleaning the historical data, and the preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection.

[0026] As an optional solution, the supervision system obtains the historical data and real-time data from an external State Grid system through the State Grid data center. The external State Grid system includes the State Grid PMS system and the State Grid dispatching system.

[0027] As another optional solution, the supervision system also obtains real-time data from an external state-owned grid system through a browser. The external state-owned grid system includes the state-owned grid PMS system and the state-owned grid dispatching system.

[0028] The supervision system further comprises a local database and a data updating unit, wherein the data updating unit is connected to the network database and is used to download operation ticket template information from the network database in a regular or real-time manner to update the operation ticket template information in the local database;

[0029] The machine ticket review unit is also connected to the local database respectively; the machine ticket review unit is also used to automatically review the substation switching operation ticket based on real-time data and the operation ticket template information in the local database, and generate a pre-review opinion, wherein the real-time data includes the current operation task data obtained through the browser.

[0030] The present invention has the following advantages: it increases machine invoicing, improves the accuracy of invoicing, and performs big data learning based on massive data to form more accurate operation ticket template information, and issues invoices according to the template information. Compared with manual work, the accuracy and efficiency have been greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0032] Figure 1 A first schematic diagram of an intelligent monitoring system provided by an embodiment of the present invention;

[0033] Figure 2 This is a second schematic diagram of the intelligent monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] To help those skilled in the art better understand the present invention and more clearly grasp its objectives, technical solutions, and advantages, the following describes the technical solutions in the embodiments of the present invention in a clear and complete manner, in conjunction with specific embodiments and with reference to the accompanying drawings. It should be noted that implementations not depicted or described in the accompanying drawings are known to those skilled in the art. Furthermore, while examples of parameters with specific values ​​may be provided herein, it should be understood that the parameters do not need to be exactly equal to the corresponding values, but rather may be approximated to the corresponding values ​​within acceptable error tolerances or design constraints. Clearly, the described embodiments are merely a portion of the embodiments of the present invention, not all of them. All other embodiments derived by those skilled in the art based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention. Furthermore, the terms "comprising" and "having," and any variations thereof, in the specification and claims of the present invention, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device comprising a series of steps or units need not be limited to the steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to the process, method, product, or device.

[0035] The concept of the present invention is to add the idea of ​​machine invoicing, conduct big data learning based on massive data, form more accurate operation ticket template information, and automatically issue invoices according to the template information. Compared with manual work, the accuracy and efficiency of invoicing have been greatly improved; and it also provides a machine ticket review link, provides machine decision-making, and improves the accuracy of ticket review; in addition, it further combines with the local database and uses a stand-alone version to process the invoicing and ticket review processes in real time, and can adjust the configuration according to the on-site conditions of the substation, which greatly improves the flexibility of invoicing and ticket review.

[0036] In one embodiment of the present invention, an intelligent monitoring system for substation switching operation tickets is provided. Figure 1 As shown, it is connected to the external State Grid system. The intelligent supervision system is used to supervise the issuance and review of substation switching operation tickets. The intelligent supervision system includes an "intelligent assisted invoicing system network version", which includes a network database, a data cleaning unit, a machine learning unit, a machine invoicing unit, a first manual invoicing unit and a second manual invoicing unit.

[0037] The network database is used to store operation ticket related data, such as data cleaned by the data cleaning unit, operation ticket template information generated by machine learning unit training, etc.

[0038] The data cleaning unit is connected to the network database, and the data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database. The historical data includes the operation ticket data and operation task data within a preset time obtained from the external State Grid system through the State Grid Data Center. The external State Grid system includes the State Grid PMS system and the State Grid dispatching system. The operation ticket data comes from the operation ticket management module of the State Grid PMS system, and the operation task data comes from the operation task management module of the State Grid dispatching system. Specifically, the State Grid PMS system and the State Grid dispatching system synchronize the related data to the State Grid Data Center every day, so that the intelligent supervision system can extract historical data from the State Grid Data Center in real time. In this embodiment, the historical data is the operation ticket data and operation task data of T-1 day. It should be noted that T-1 day is a preset time, which can be set according to actual needs and does not limit the scope of protection of the present invention.

[0039] In addition, before the data cleaning unit cleans the historical data, it also includes preprocessing of the historical data. The preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection. The data preprocessing and data cleaning steps make the data used by the machine learning unit more accurate, providing a guarantee for the subsequent invoicing and ticket review links.

[0040] A machine learning unit is connected to the network database and is configured to train historical data to generate an operation ticket template analysis model, use the model to obtain operation ticket template information, and store the operation ticket template information in the network database. The historical data may be operation ticket data and operation task data within a preset time period obtained directly from an external State Grid system, or may be historical data cleaned by the data cleaning unit, without limiting the scope of protection of the present invention.

[0041] The machine invoicing unit is connected to the network database and is used to automatically generate a substation switching operation ticket based on real-time data and the operation ticket template information, wherein the real-time data includes current operation task data obtained from an external state grid system.

[0042] The first manual ticket review unit is connected to the machine ticket issuing unit, and is used to manually review the substation switching operation ticket generated by the machine ticket issuing unit and generate a pre-review opinion.

[0043] The second manual ticket review unit is connected to the first manual ticket review unit. The second manual ticket review unit is used to manually review the substation switching operation ticket generated by the machine ticket issuing unit, and combine it with the pre-review opinion generated by the first manual ticket review unit to obtain the final substation switching operation ticket.

[0044] In this embodiment, the intelligent supervision system also includes a "smart assisted invoicing system stand-alone version", which includes a local database and a data update unit. The data update unit is connected to the network database, and the data update unit is used to download the operation ticket template information from the network database periodically or in real time to update the operation ticket template information in the local database. Specifically, the machine invoicing unit is also connected to the local database, and the machine invoicing unit is also used to generate a substation switching operation ticket based on real-time data and the operation ticket template information in the local database, realizing local invoicing and ticket review functions, namely the "smart assisted invoicing system stand-alone version". It should be noted that when using the local database for invoicing and ticket review, the real-time data is the current operation task data and current operation ticket data obtained through the browser. Specifically, the State Grid PMS system and the State Grid dispatching system synchronize the related data to the browser every day, so that the intelligent supervision system can extract real-time data from the browser in real time.

[0045] In one embodiment of the present invention, an intelligent monitoring system for substation switching operation tickets is provided. Figure 2As shown, it is connected to the external State Grid system. The intelligent supervision system is used to supervise the issuance and review of substation switching operation tickets. The intelligent supervision system includes an "intelligent assisted invoicing system network version", which includes a network database, a data cleaning unit, a machine learning unit, a manual invoicing unit, a machine review unit and a manual review unit.

[0046] The network database is used to store operation ticket related data, such as data cleaned by the data cleaning unit, operation ticket template information generated by machine learning unit training, etc.

[0047] The data cleaning unit is connected to the network database, and the data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database. The historical data includes the operation ticket data and operation task data within a preset time obtained from the external State Grid system through the State Grid Data Center. The external State Grid system includes the State Grid PMS system and the State Grid dispatching system. The operation ticket data comes from the operation ticket management module of the State Grid PMS system, and the operation task data comes from the operation task management module of the State Grid dispatching system. Specifically, the State Grid PMS system and the State Grid dispatching system synchronize the related data to the State Grid Data Center every day, so that the intelligent supervision system can extract historical data from the State Grid Data Center in real time. In this embodiment, the historical data is the operation ticket data and operation task data of T-1 day. It should be noted that T-1 day is a preset time, which can be set according to actual needs and does not limit the scope of protection of the present invention.

[0048] In addition, before the data cleaning unit cleans the historical data, it also includes preprocessing of the historical data. The preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection. The data preprocessing and data cleaning steps make the data used by the machine learning unit more accurate, providing a guarantee for the subsequent invoicing and ticket review links.

[0049] A machine learning unit is connected to the network database and is configured to train historical data to generate an operation ticket template analysis model, use the model to obtain operation ticket template information, and store the operation ticket template information in the network database. The historical data may be operation ticket data and operation task data within a preset time period obtained directly from an external State Grid system, or may be historical data cleaned by the data cleaning unit, without limiting the scope of protection of the present invention.

[0050] The manual invoicing unit is connected to the network database and is used to manually generate a substation switching operation ticket based on real-time data, wherein the real-time data includes current operation task data obtained from an external state grid system.

[0051] The machine ticket review unit is connected to the manual invoicing unit and the network database. The machine ticket review unit is used to automatically review the substation switching operation ticket generated by the manual invoicing unit based on real-time data and the operation ticket template information, and generate a pre-review opinion.

[0052] The manual ticket review unit is connected to the machine ticket review unit, and is used to manually review the substation switching operation ticket generated by the manual invoicing unit, and obtain the final substation switching operation ticket in combination with the pre-audit opinion.

[0053] In this embodiment, the intelligent supervision system also includes a "smart assisted invoicing system stand-alone version", which includes a local database and a data update unit. The data update unit is connected to the network database. The data update unit is used to download the operation ticket template information from the network database on a regular basis or in real time to update the operation ticket template information in the local database. Specifically, the manual invoicing unit and the machine ticket review unit are also connected to the local database respectively; the machine ticket review unit is also used to automatically review the substation switching operation ticket based on real-time data and the operation ticket template information in the local database, and generate a pre-review opinion to realize local invoicing and review functions, namely the "smart assisted invoicing system stand-alone version". It should be noted that when using the local database for invoicing and reviewing, the real-time data is the current operation task data and current operation ticket data obtained through the browser. Specifically, the State Grid PMS system and the State Grid dispatching system synchronize the related data to the browser every day, so that the intelligent supervision system can extract real-time data from the browser in real time.

[0054] The above description is only a preferred embodiment of the present invention and does not limit the scope of the patent. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present invention, directly or indirectly applied in other related technical fields, is also included in the scope of patent protection of the present invention.

Claims

1. An intelligent monitoring system for substation switching operation tickets, characterized in that: It is connected to the external state grid system and is used to supervise the issuance and verification of substation switching operation tickets. The external state grid system includes the state grid PMS system and the state grid dispatching system. The supervision system includes: A network database, which is used to store operation ticket related data; a machine learning unit connected to the network database, the machine learning unit being used to train historical data, generate an operation ticket template analysis model, and then use the model to obtain operation ticket template information and store it in the network database, wherein the historical data includes operation ticket data and operation task data within a preset time obtained from an external State Grid system, the operation ticket data is derived from the operation ticket management module of the State Grid PMS system, and the operation task data is derived from the operation task management module of the State Grid dispatching system. The State Grid PMS system and the State Grid dispatching system synchronize related data to the State Grid data center every day, so that the intelligent supervision system extracts historical data from the State Grid data center in real time; a machine invoicing unit connected to the network database, the machine invoicing unit being used to automatically generate a substation switching operation ticket based on real-time data and the operation ticket template information, wherein the real-time data includes current operation task data obtained from an external state grid system; A first manual ticket review unit, connected to the machine ticket issuing unit, for reviewing the substation switching operation ticket and generating a pre-review opinion; A second manual ticket review unit, connected to the first manual ticket review unit, is used to review the substation switching operation ticket and obtain a final substation switching operation ticket in combination with the pre-review opinion; The supervision system also includes a local database and a data update unit. The data update unit is connected to the network database, and the data update unit is used to download operation ticket template information from the network database periodically or in real time to update the operation ticket template information in the local database; the State Grid PMS system and the State Grid dispatching system synchronize related data to the browser every day, and the supervision system extracts real-time data from the browser in real time to obtain current operation task data and current operation ticket data through the browser; the machine invoicing unit is also connected to the local database, and the machine invoicing unit is also used to generate a substation switching operation ticket based on real-time data and the operation ticket template information in the local database to realize the local invoicing function.

2. The intelligent monitoring system for substation switching operation tickets according to claim 1, characterized in that: The historical data trained by the machine learning unit is cleaned historical data; The supervision system also includes a data cleaning unit, which is connected to the network database. The data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database; the machine learning unit obtains the cleaned historical data from the network database and trains it to obtain operation ticket template information.

3. The intelligent monitoring system for substation switching operation tickets according to claim 2, characterized in that: Before the data cleaning unit cleans the historical data, the historical data is also preprocessed. The preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection.

4. An intelligent monitoring system for substation switching operation tickets, characterized in that: It is connected to the external state grid system and is used to supervise the issuance and verification of substation switching operation tickets. The external state grid system includes the state grid PMS system and the state grid dispatching system. The supervision system includes: A network database, which is used to store operation ticket related data; a machine learning unit connected to the network database, the machine learning unit being used to train historical data, generate an operation ticket template analysis model, and then use the model to obtain operation ticket template information and store it in the network database, wherein the historical data includes operation ticket data and operation task data within a preset time obtained from an external State Grid system, the operation ticket data is derived from the operation ticket management module of the State Grid PMS system, and the operation task data is derived from the operation task management module of the State Grid dispatching system. The State Grid PMS system and the State Grid dispatching system synchronize related data to the State Grid data center every day, so that the intelligent supervision system extracts historical data from the State Grid data center in real time; A manual invoicing unit connected to the network database, the manual invoicing unit is used to generate a substation switching operation ticket based on real-time data, wherein the real-time data includes current operation task data obtained from an external state grid system; A machine ticket review unit, connected to the manual ticket issuing unit and the network database, for automatically reviewing the substation switching operation ticket based on real-time data and the operation ticket template information, and generating a pre-review opinion; A manual ticket review unit, connected to the machine ticket review unit, for reviewing the substation switching operation ticket and obtaining a final substation switching operation ticket based on the pre-review opinion; The supervision system also includes a local database and a data update unit. The data update unit is connected to the network database, and the data update unit is used to download operation ticket template information from the network database on a regular basis or in real time to update the operation ticket template information in the local database; the State Grid PMS system and the State Grid dispatching system synchronize related data to the browser every day, and the supervision system extracts real-time data from the browser in real time to obtain current operation task data and current operation ticket data through the browser; the machine ticket review unit is also connected to the local database, and the machine ticket review unit is also used to automatically review the substation switching operation ticket based on real-time data and the operation ticket template information in the local database, and generate pre-review opinions to realize the local ticket review function.

5. The intelligent monitoring system for substation switching operation tickets according to claim 4, characterized in that: The historical data trained by the machine learning unit is cleaned historical data; The supervision system also includes a data cleaning unit, which is connected to the network database. The data cleaning unit is used to clean the historical data and store the cleaned historical data in the network database; the machine learning unit obtains the cleaned historical data from the network database and trains it to obtain operation ticket template information.

6. The intelligent monitoring system for substation switching operation tickets according to claim 5, characterized in that: Before the data cleaning unit cleans the historical data, the historical data is also preprocessed. The preprocessing method includes formatting and / or similar duplicate data detection and / or error value detection.

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