Method and system for constructing standard knowledge graph of power grid equipment

Abstract

The invention provides a power grid equipment standard knowledge graph construction method and system, and the method carries out the construction of a power grid equipment graph based on a natural language processing technology, a digital standard and standard knowledge, finally achieves the core functions of knowledge graph question answering, reading understanding question answering, intelligent searching and the like, achieves the man-machine interaction type conversation, and improves the work efficiency. And providing question and answer type accurate search covering various objects such as standards, equipment, parts, institutions, people, indexes and the like for a standard business application scene.

Description

Technical Field

[0001] The present invention relates to the field of information technology, in particular to data processing and knowledge management, and more specifically to intelligent management and application of power grid equipment standards, including methods and systems for constructing and applying a knowledge graph of power grid equipment standards. Background Art

[0002] In traditional power grid equipment standard management, standards are collected, organized and applied manually, which is time-consuming and error-prone. With the increase in the types of power grid equipment and the frequent updates of standards, this management model is difficult to meet the requirements of real-time, accuracy and efficiency. Although there are some database-based management systems in the existing technology, they lack intelligent understanding and utilization of the complex relationships between standards and cannot provide comprehensive decision support. Summary of the invention

[0003] In order to solve the above problems, the present invention provides a method for constructing a knowledge graph of power grid equipment standards, comprising: a. Integrate multi-source standard information, including electronic documents, databases and network resources; b. Use natural language processing and machine learning technologies to intelligently parse and understand standard documents and extract key entities, attributes, and relationships; c. Build a knowledge graph to represent the associations between devices, standards, attributes, and constraints; d. Realize knowledge fusion and resolve inconsistencies and conflicts among data sources; e. Design a real-time update mechanism to ensure that the knowledge graph is synchronized with the latest standards.

[0004] The present invention also proposes a power grid equipment standard knowledge graph application system, including a data processing module, a graph construction module, a knowledge fusion module, an update module and a user interface, so that users can quickly query, understand and apply standards, thereby improving the intelligence level of power grid equipment management.

[0005] Through the present invention, power grid equipment standards can be effectively managed, and efficient and accurate decision support can be provided, which is applicable to multiple links such as selection, operation and maintenance, transformation and compliance inspection of power grid equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] In order to show the specific implementation of the present invention in detail, this article will be accompanied by a series of diagrams to assist in the explanation. The following are some possible drawings, which are not exhaustive, but are sufficient to help readers understand the key components and technical points of the present invention.

[0007] Figure 1 Demonstrates the technical route for constructing the power grid equipment map of the present invention Figure 2 Demonstrates the power grid equipment map framework of the present invention Figure 3 The key technology of the present invention is demonstrated.

[0008] Figure 4 The implementation scheme of the present invention is demonstrated.

[0009] Figure 5 Flowchart showing construction of power grid equipment map of the present invention Figure 6 :Demonstrates the data processing implementation scheme of the present invention Figure 7 : The knowledge fusion module of the present invention is demonstrated.

[0010] Figure 8 :Demonstrates the graph construction of the present invention - knowledge access Fig. 9 : Demonstrates the graph construction of the present invention - knowledge production Fig.10 :Shows the graph application module of the present invention Fig.11 :Demonstrates the graph application of the present invention - graph-based question and answer These drawings are only examples of embodiments of the present invention, not all possible implementations. The actual invention may include more or different drawings to adapt to different application scenarios and technical details. All of these drawings are intended to help readers better understand the technical connotation and application effects of the present invention. DETAILED DESCRIPTION

[0011] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0012] Data Processing Standard processing tools can be used to more quickly, conveniently and accurately process standard PDF / Word documents such as standards, specifications, work instructions, typical designs, etc. to produce fragmented knowledge such as chapters, pictures, tables, formulas, terms, etc., and generate a standard database.

[0013] Construction of knowledge base of power grid equipment Using the standard knowledge base as the corpus, we can efficiently and completely mine and identify objects, attributes, and relationships related to the main grid equipment of the power grid, build a standard knowledge graph of main grid equipment such as transformer kits, and provide basic support for intelligent retrieval, question and answer, and recommendation.

[0014] Graph Construction Through graph construction tools, we can complete the construction of professional knowledge graphs that are large-scale, high-quality, structured, and highly interpretable, including standard knowledge extraction and graph construction for transformer and circuit breaker equipment.

[0015] Graph-based intelligent question answering Based on the knowledge graph, multiple types of knowledge graphs such as equipment, standards, and publishing units are constructed, which can directly answer the knowledge graph association relationships.

[0016] These implementations demonstrate how the invention is implemented in actual operation, including data acquisition and processing, model construction, review process, and self-learning and improvement of the system. Each implementation should be detailed enough for technicians familiar with the field to implement. In addition to providing a method for evaluating scientific and technological projects, the present invention also designs a corresponding system to implement this method. The system mainly consists of the following modules: Data acquisition module, used to collect and organize standard information of power grid equipment; Document parsing module (data processing), using natural language processing technology to extract key information; Graph construction module, used to build and maintain the knowledge graph structure; Knowledge fusion module, which handles the heterogeneity and inconsistency of data sources; Knowledge production, regularly updating the knowledge graph to keep up with the latest standards.

[0017] User interface: Provide a user-friendly operation interface so that users can ask questions conveniently.

Claims

1. A method and system for constructing a knowledge graph of power grid equipment standards, comprising the following steps: Collect standard information related to power grid equipment, including equipment specifications, performance parameters, installation requirements, etc.; Use natural language processing techniques to parse standard documents and extract key entities, attributes, and relationships; Build a knowledge graph structure, define the types of nodes and edges, and represent equipment, standards, attributes, and constraint relationships; Integrate multi-source standard data through knowledge fusion and conflict resolution; Update the knowledge graph regularly to keep it consistent with the latest standards.

2. The method according to claim 1, wherein the parsing process includes entity recognition, relationship extraction and event detection.

3. The method according to claim 1, wherein the knowledge fusion includes semantic similarity-based merging and rule-based conflict resolution.

4. A power grid equipment standard knowledge graph construction system, comprising: Data acquisition module, used to collect and organize standard information of power grid equipment; Document parsing module, which uses natural language processing technology to extract key information; Graph construction module, used to build and maintain the knowledge graph structure; Knowledge fusion module, which handles the heterogeneity and inconsistency of data sources; Update and maintenance module, regularly update the knowledge graph to keep up with the latest standards.

5. The system according to claim 4 also includes a user interface module that provides query and visualization functions, allowing users to easily access and understand the knowledge graph.

6. The system according to claim 4, wherein the graph construction module uses graph database technology to efficiently store and query complex relational structures.

7. Application of the method and system for constructing a standard knowledge graph for power grid equipment as described in any one of claims 4-5, particularly in power grid planning, equipment selection, operation and maintenance management, and standard compliance checking.

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