Intelligent auditing method and system for standard structure and content of power grid

Abstract

The invention provides a power grid standard structure and content intelligent auditing method and system, and aims to improve the auditing efficiency and accuracy of the power grid standard structure and content based on the artificial intelligence technology. The method and the system can be widely applied to the power industry, and can help enterprises or institutions to ensure that the power grid standards conform to related laws and regulations, standard structures and optimal practices when formulating, modifying or auditing the power grid standards.

Description

Technical Field

[0001] The present invention focuses on using advanced information technology, artificial intelligence, big data analysis and cloud computing to build an efficient and intelligent power grid standard review system to address the limitations of existing technologies in efficiency, accuracy and adaptability. It is an intelligent solution in the field of power system management and monitoring, with a particular focus on the automatic review and verification technology of the structure and content of power grid standards in power engineering. Background Art

[0002] In the existing grid standard review process, manual inspection is usually relied on, which is not only time-consuming but also prone to omissions and errors due to human factors. With the increasing complexity of modern power systems and the stringent requirements for energy efficiency, safety, reliability and sustainability, the standards and specifications of the power grid have become more and more complicated. Traditional manual review methods have been unable to meet the needs of real-time, accuracy and large-scale application. In addition, with the expansion of the scale of the power grid and the diversification of standards, the efficiency and accuracy of manual review are facing challenges. Therefore, there is a need to develop an automated tool that can quickly and accurately review the structure and content of power grid standards. Summary of the invention

[0003] In order to solve the above problems, the present invention proposes a method and system for intelligent review of the structure and content of power grid standards, which combines natural language processing, computer vision and machine learning technology to achieve efficient and automatic review of power grid standards. Specifically, the present invention includes steps such as data extraction, model comparison, automatic evaluation and feedback optimization, which can quickly identify non-compliance of standard structure and content, and significantly improve the efficiency and accuracy of review. In addition, the system is also capable of self-learning and iterative optimization to adapt to the ever-changing power grid standards and user needs.

[0004] Technical Effects Compared with the prior art, the method for intelligent review of power grid standard structure and content provided by the present invention has the following advantages: Automation: Automatically review power grid data through intelligent algorithms, reducing manual intervention and improving review efficiency; Accuracy: Using advanced intelligent technology to improve the accuracy and consistency of audit results; Scalability: The rule base can be dynamically adjusted according to the update of power grid standards to meet the audit needs of power grids in different regions and of different sizes; Easy to maintain: The intelligent audit system can be upgraded and optimized according to actual needs, reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] 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.

[0006] Figure 1 The data collection of the present invention is demonstrated, and the relationship between various processes is clearly shown.

[0007] Figure 2 The data preprocessing flow chart of the present invention is shown.

[0008] Figure 3 The rule base construction flow chart of the present invention is shown.

[0009] Figure 4 The present invention shows the electrical content structure review logic flow. Figure 5 : Schematic diagram of the UI interaction of the power grid standard structure and content intelligent review, which explains how users can operate and view analysis results through a graphical interface.

[0010] Figure 6 : An example of an intelligent audit report on the structure and content of power grid standards, which intuitively presents the results of the comparative analysis and the optimization suggestions based on these results.

[0011] 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

[0012] 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.

[0013] Data collection and preprocessing Collect grid-related standard documents, national standards, enterprise standards, industry standards, group standards, and grid-related laws and regulations.

[0014] Combined with text analysis, key information in power grid standard documents is extracted, such as standard numbers, regulations and requirements, and the structure and rules of standard documents.

[0015] Reference model construction Based on industry standards, regulations and best practices, a reference model of the grid standard structure is constructed, including device configuration, connection relationships and compliance requirements. The update mechanism ensures that the reference model can reflect the latest standard changes in a timely manner.

[0016] Smart Audit Use natural language processing technology to parse the grid design plan or existing grid structure submitted by the user and compare it with the reference model. Apply machine learning algorithms, such as support vector machines or neural networks, to score the compliance of the grid structure and automatically detect parts that do not meet the standards. Compliance rule engine to conduct in-depth analysis and explanation of specific compliance issues.

[0017] Audit report generation Generate a detailed audit report listing the issues found and suggested improvements for engineers to refer to.

[0018] Based on user feedback and actual operation results, we iteratively optimize models and algorithms to improve the accuracy and efficiency of audits. We implement automated version management and update mechanisms to ensure that the system is always up to date.

[0019] 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 management module: responsible for collecting, storing and managing data related to power grid standards.

[0020] Preprocessing module: performs preprocessing operations such as cleaning and formatting on the input data.

[0021] Rule summary extraction module: Use NLP technology to extract key features from power grid standard documents.

[0022] Model training module: responsible for training machine learning models for intelligent auditing.

[0023] Intelligent review module: receives documents to be reviewed and calls the model to perform intelligent review of structure and content.

[0024] Result analysis module: Manually analyze the results of intelligent auditing to ensure the accuracy of the audit.

[0025] User Interface: Provides a user-friendly operation interface that enables users to easily upload documents, view review results and provide feedback.

Claims

1. A method and system for intelligent review of power grid standard structure and content, characterized in that: The following steps are involved: Data collection: Collect grid standard data, national standards, industry standards, enterprise standards, group standards and relevant laws and regulations; Data preprocessing: cleaning, formatting and standardizing the input power grid data; Rule base construction: Build a rule base containing various audit rules according to power grid standards; Rule matching: Using intelligent algorithms, pre-processed grid data is matched with the rules in the rule base; Result analysis: Analyze the matching results and identify the structures and contents that do not meet the grid standards; Audit report generation: Generate an intelligent audit report on the standard structure and content of the power grid based on the analysis results.

2. The method for intelligent review of power grid standard structure and content according to claim 1, characterized in that: The intelligent algorithms include but are not limited to machine learning, deep learning, natural language processing and other technologies.

3. The method for intelligent review of power grid standard structure and content according to claim 1, characterized in that: The rule base can be constructed by using technologies such as expert systems and knowledge graphs.

4. The method for intelligent review of power grid standard structure and content according to claim 1, characterized in that: The audit report may include, but is not limited to, a list of items that do not meet the standards, descriptions of the problems, suggestions for improvement, etc.

5. The method for intelligent review of power grid standard structure and content according to claim 1, characterized in that: The intelligent audit system can be deployed on the cloud or on a local server to support the audit of large-scale power grid data.

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