Artificial intelligence review system based on NLP technology

Abstract

The present invention discloses an artificial intelligence review system based on NLP technology, which includes: a data acquisition and control system for acquiring multi-source data; a data fusion system for fusing and analyzing the multi-source data; a security monitoring system for monitoring and diagnosing the multi-source data and constructing multiple review models for power grid security diagnosis; and a comprehensive business application terminal for matching corresponding review models for various business scenarios. The artificial intelligence review system based on NLP technology provided by the present invention is constructed through four major modules: intelligent language multi-source data acquisition, big data fusion, power grid security service system construction, and business application construction. It effectively improves the level of intelligent review, strengthens the high degree of integration of various information systems and business systems, and solves the problems of low efficiency, difficulty in implementation, high cost, and poor control efficiency in the existing method of relying on manual control of power grid data.

Description

Technical Field

[0001] The present invention relates to the technical field of power evaluation systems, and in particular to an artificial intelligence review system based on NLP technology. Background Art

[0002] With the development of smart grid construction, resource allocation capabilities are gradually strengthening, voltage levels and intelligence levels are increasing, and grid structures are becoming increasingly complex. At the same time, to ensure safe and reliable power supply services for grid projects and to save construction costs, the requirements for grid security and stability are also increasing. Reasonable and effective management of grid data is fundamental to ensuring the security and stability of the grid system. However, existing data management methods are still based on manual management. Considering the massive amount of grid data affected by multiple factors and covering a wide range of fields, this manual management method is not only inefficient, difficult to implement, and costly, but also prone to errors and low management quality, which can further affect the operation of other parts of the grid. Therefore, a more intelligent method is urgently needed to enhance the management and control of grid data. Summary of the Invention

[0003] The purpose of the present invention is to provide an artificial intelligence review system based on NLP technology to solve the problems of low efficiency, difficulty in implementation, high cost and poor control energy efficiency in the existing method of relying on manual control of power grid data.

[0004] To achieve the above objectives, the present invention provides an artificial intelligence review system based on NLP technology, comprising:

[0005] Data acquisition and control system, used to collect multi-source data;

[0006] A data fusion system, used for fusing and analyzing the multi-source data;

[0007] A security monitoring system for monitoring and diagnosing the multi-source data and building multiple review models for power grid security diagnosis;

[0008] Comprehensive business application terminal, used to match corresponding review models for various business scenarios.

[0009] Furthermore, preferably, the data acquisition and control system includes:

[0010] The underlying application data collection module is used to collect underlying application data using underlying algorithms based on NLP technology;

[0011] The upper-layer application data acquisition module is used to collect upper-layer application data and perform reading, setting and filtering processing.

[0012] Furthermore, preferably, there are at least two types of upper-layer application data.

[0013] Furthermore, preferably, the data acquisition and control system is also used for:

[0014] Collect multi-dimensional information and fuse the collected information through data fusion;

[0015] The multi-dimensional information includes grid load information, equipment information, geographic information, meteorological information, sensitive data information and review information.

[0016] Furthermore, as an option, the data fusion system is also used to fuse data from the metadata layer, the big data layer and the application data layer.

[0017] Furthermore, preferably, the review model includes an electric load analysis review model and a power grid weak link review model.

[0018] Furthermore, as an optimization method, the power grid weak link assessment model is also used to assess the power grid weak links based on a GIS map.

[0019] Furthermore, preferably, the GIS map is a map that integrates power grid information, meteorological information and sensitive point information.

[0020] Furthermore, as a preferred embodiment, the comprehensive business application terminal is also used to establish a multi-level linkage system review mechanism.

[0021] Furthermore, preferably, the safety monitoring system is also used to trigger an alarm when the diagnosis result is abnormal.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention discloses an artificial intelligence review system based on NLP technology, which includes: a data acquisition and control system for acquiring multi-source data; a data fusion system for fusing and analyzing the multi-source data; a security monitoring system for monitoring and diagnosing the multi-source data and constructing multiple review models for power grid security diagnosis; and a comprehensive business application terminal for matching corresponding review models for various business scenarios. The artificial intelligence review system based on NLP technology provided by the present invention is constructed through four major modules: intelligent language multi-source data acquisition, big data fusion, power grid security service system construction, and business application construction. It effectively improves the level of intelligent review, strengthens the high degree of integration of various information systems and business systems, and solves the problems of low efficiency, difficulty in implementation, high cost, and poor control efficiency in the existing method of relying on manual control of power grid data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 This is a schematic diagram of the structure of an artificial intelligence review system based on NLP technology provided by an embodiment of the present invention;

[0026] Figure 2 yes Figure 1 Schematic diagram of the submodule structure of the data acquisition and control system;

[0027] Figure 3 This is a principle block diagram of an artificial intelligence review system based on NLP technology provided by a certain embodiment of the present invention.

[0028] Figure 4 This is a workflow diagram of an artificial intelligence review system based on NLP technology provided by a certain embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0030] It should be understood that the step numbers used herein are only for convenience of description and are not intended to limit the order in which the steps are to be executed.

[0031] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0032] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0033] The term "and / or" refers to and includes any and all possible combinations of one or more of the associated listed items.

[0034] See also Figure 1 , a certain embodiment of the present invention provides an artificial intelligence review system based on NLP technology. Figure 1 As shown in the figure, the artificial intelligence review system based on NLP technology consists of four parts:

[0035] The data acquisition and control system 01 is used to collect multi-source data. Optionally, the data acquisition and control system 01 is used to read, set, and filter the collected data sources. Optionally, the data acquisition and control system 01 collects at least two types of upper-layer application data.

[0036] In a specific embodiment, the data acquisition and control system 01 further includes two submodules, such as Figure 2 Specifically, the contents of each module are as follows:

[0037] The underlying application data collection module 011 is used to collect underlying application data using an underlying algorithm based on NLP technology;

[0038] The upper layer application data collection module 012 is used to collect upper layer application data and perform reading, setting and filtering processing.

[0039] The data fusion system 03 is used to fuse and analyze the multi-source data. The data fusion system 03 is mainly used for data fusion, storage, mining, modeling, and computer analysis. Based on the data fusion, the application data layer, the big data layer, and the metadata layer are established.

[0040] The security monitoring system 02 is used to monitor and diagnose the multi-source data and build multiple review models for power grid security diagnosis. Specifically, the security monitoring system 02 is mainly used for power grid diagnosis and analysis, and can automatically diagnose weak links in the power grid, establish weak review models, and make advance risk judgments and warnings, etc., to ensure the safe and stable operation of the power system.

[0041] The integrated business application terminal 04 is used to match corresponding review models for various business scenarios. Specifically, the integrated business application terminal 04 is used to build business scenario reviews covering various types of terminals, perform analysis and abstract modeling, and make the integrated business system application logic classification adaptable to various businesses.

[0042] In a specific embodiment, the data acquisition and control system 01 is also used to collect multi-dimensional information and fuse the collected information through data fusion; wherein the multi-dimensional information includes power grid load information, equipment information, geographic information, meteorological information, sensitive data information and review information.

[0043] In a specific embodiment, the data acquisition and control system 01 is also used to integrate data from the metadata layer, the big data layer, and the application data layer.

[0044] In a specific embodiment, the data fusion system 03 is also used to fuse data accessed from multiple system data sources, deeply explore the value of data, gradually support review business, and sensitively and accurately locate the multi-source data to fully support the comprehensive business application terminal 04.

[0045] In a specific embodiment, the security monitoring system 02 is used to plan and build a power grid security diagnosis and review service system, conduct power load analysis and review, and review power grid weaknesses. When the diagnosis result is abnormal, the security monitoring system 02 is also used to trigger an alarm.

[0046] In a specific embodiment, the comprehensive business application terminal 04 is also used to build a grassroots unit for receipt, effective connection between individual levels, evaluation and adjustment of network image management, build a business evaluation management system, and establish a multi-level linkage system review mechanism.

[0047] As a preferred embodiment, the data acquisition and control system 01 will control the in-depth mining of effective information of the power grid when performing data acquisition, and transmit it to the data fusion for data aggregation according to the received data source, integrate the power grid engineering and technical information resources, and cover the power supply and demand review and analysis platform of different regions, nature, voltage levels, and time scale characteristics of the system, process the rigid management and execution effects from power grid diagnosis to power grid review, and after obtaining the final review data and results, control the transmission device to return to the data release position.

[0048] In one optional implementation, GIS spatial heterogeneous data integration technology is used to integrate power grid information, meteorological information, and sensitive point information into a single GIS map, supporting advanced applications such as visualization of grid weaknesses and accurate spatial load forecasting. Cloud services and graphic isolation technology are used to enable flexible cutting and seamless splicing of graphics, building a multi-level coordinated power grid graphic management system. This system integrates geographic wiring diagrams, power grid GIS diagrams, and electrical wiring diagrams, establishing a standardized graphics rendering and serialized management model.

[0049] In an optional implementation, an intelligent system is also used to achieve distributed maintenance of data resources, structured management, and dynamic allocation and overall coordination of computing tasks such as calculation verification, review scheme optimization, and special research, to meet the computing needs of different business types in power grids of various voltage levels.

[0050] See also Figure 3-4 In one embodiment, Figure 3 、 4The principle block diagram and workflow diagram of the artificial intelligence review system based on NLP technology are provided respectively. Specifically, the data acquisition and control system 01, data fusion system 03, security monitoring system 02 and integrated business application terminal 04 cooperate with each other. Among them, the overall technical architecture of the platform is divided into four levels: multi-source data access, heterogeneous data fusion, service system construction, and business application construction. First, the access of multiple system data is adopted. Secondly, the heterogeneous data accessed by multiple systems is deeply integrated, and the data value is deeply mined. Data fusion and aggregation are carried out from the bottom up to gradually support planning business; from the top down, it penetrates step by step and accurately locates sensitive data; then, through the analysis and abstract modeling of the power grid planning business, it encapsulates and forms a power grid review business service bus, so that the system display and business logic are classified and adapted to the business applications of various types of terminal devices; gradually build business scenario applications covering various types of terminals to fully support the development of power grid planning business.

[0051] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. In actual applications, there may be other division methods when implementing them. For example, multiple units or page components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0052] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0053] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0054] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program code.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An artificial intelligence review system based on NLP technology, characterized by: include: Data acquisition and control system, used to collect multi-source data; The data acquisition and control system includes: a bottom-level application data acquisition module for acquiring bottom-level application data using a bottom-level algorithm based on NLP technology; and an upper-level application data acquisition module for acquiring upper-level application data and performing read, set, and filter processing. The multi-source data is data required by the power supply and demand review and analysis platform based on different regional, natural, voltage, and timescale characteristics. A data fusion system, used for fusing and analyzing the multi-source data; A security monitoring system for monitoring and diagnosing the multi-source data and building multiple review models for power grid security diagnosis; Comprehensive business application terminal, used to match corresponding review models for various business scenarios.

2. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The upper layer application data has at least two types.

3. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The data acquisition and control system is also used for: Collect multi-dimensional information and fuse the collected information through data fusion; The multi-dimensional information includes grid load information, equipment information, geographic information, meteorological information, sensitive data information and review information.

4. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The data fusion system is also used to fuse data at the metadata layer, the big data layer and the application data layer.

5. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The review model includes an electric load analysis review model and a power grid weak link review model.

6. The artificial intelligence review system based on NLP technology according to claim 5 is characterized in that: The power grid weak link review model is also used to review the power grid weak links based on the GIS map.

7. The artificial intelligence review system based on NLP technology according to claim 6 is characterized in that: The GIS map is a map that integrates power grid information, meteorological information and sensitive point information.

8. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The comprehensive business application terminal is also used to establish a multi-level linkage system review mechanism.

9. The artificial intelligence review system based on NLP technology according to claim 1 is characterized in that: The safety monitoring system is also used to trigger an alarm when the diagnosis result is abnormal.

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