Intelligent aided design and examination system and method for photovoltaic power station

Abstract

The invention provides an intelligent aided design and review system and method for a photovoltaic power station, and the system comprises a rule base construction module which is used for constructing and dynamically updating a rule base in real time; the rule analysis module is used for analyzing the rule text in the rule base and generating a rule knowledge graph; the auxiliary design module is used for receiving the design parameters from the user interaction module, querying and verifying the design parameters based on a rule base and a rule knowledge graph, generating design results of a plurality of versions and corresponding rule bases, and transmitting the design results of the plurality of versions to the auxiliary review module; the auxiliary review module is used for receiving the design scheme and the design results of the multiple versions from the user interaction module, reviewing the design scheme and the design results of the multiple versions based on a rule base and a rule knowledge graph, and generating a corresponding review report; and the user interaction module is used for providing a friendly visual interface and a natural language interaction function for the user.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power station design, and in particular to an intelligent auxiliary design and review system and method for a photovoltaic power station. Background Art

[0002] Existing photovoltaic design and review work relies on manual review of standards and experience accumulation, which is inefficient and prone to errors. There is no mature technology to achieve intelligent analysis and application of rules due to the huge rule base and difficult review. Although artificial intelligence technology has applications in other fields, its application in intelligent analysis, design assistance and review of photovoltaic power station rules has not been made public, especially in the construction of dynamic rule bases and the interaction with natural language, where there is an obvious technical gap. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent auxiliary design and review system and method for a photovoltaic power station, aiming to solve the above-mentioned problems in the prior art.

[0004] An embodiment of the present invention provides an intelligent auxiliary design and review system for a photovoltaic power station, comprising:

[0005] A rule base construction module is connected with the rule parsing module, the auxiliary design module and the auxiliary review module to construct and dynamically update the rule base in real time;

[0006] A rule parsing module, connected to the rule base construction module, the auxiliary design module and the auxiliary review module, for parsing the rule text in the rule base and generating a rule knowledge graph;

[0007] an auxiliary design module, connected to the rule base construction module, the rule parsing module, the auxiliary review module and the user interaction module, for receiving design parameters from the user interaction module, querying and verifying the design parameters based on the rule base and the rule knowledge graph, generating several versions of design results and corresponding rule bases, and transmitting the several versions of design results to the auxiliary review module;

[0008] an auxiliary review module, connected to the rule base construction module, the rule parsing module, the auxiliary design module and the user interaction module, for receiving the design scheme and the several versions of the design results from the user interaction module, and reviewing the design scheme and the several versions of the design results based on the rule base and the rule knowledge graph, and generating a corresponding review report;

[0009] The user interaction module is connected with the auxiliary design module and the auxiliary review module, and is used to provide users with a friendly visual interface and natural language interaction functions.

[0010] An embodiment of the present invention provides an intelligent auxiliary design and review method for a photovoltaic power station, comprising:

[0011] Build and dynamically update the rule base in real time through the rule base building module;

[0012] The rule text in the rule base is parsed by a rule parsing module, and a rule knowledge graph is generated;

[0013] The auxiliary design module receives the design parameters from the user interaction module, queries and verifies the design parameters based on the rule base and the rule knowledge graph, generates several versions of design results and corresponding rule bases, and transmits the several versions of design results to the auxiliary review module;

[0014] receiving the design scheme and the several versions of design results from the user interaction module through the auxiliary review module, and reviewing the design scheme and the several versions of design results based on the rule base and the rule knowledge graph to generate a corresponding review report;

[0015] The user interaction module provides users with a friendly visual interface and natural language interaction functions.

[0016] An embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-mentioned intelligent assisted design and review method for photovoltaic power stations.

[0017] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps of the above-mentioned intelligent auxiliary design and review method for photovoltaic power stations are implemented.

[0018] The use of the embodiments of the present invention may include the following beneficial effects: The embodiments of the present invention propose an intelligent system that integrates a rule base, a knowledge graph, and an artificial intelligence language model, which can be used for the design and review of photovoltaic power stations to improve the design efficiency and quality of photovoltaic power stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0020] Figure 1is a schematic diagram of an intelligent auxiliary design and review system for a photovoltaic power station according to an embodiment of the present invention;

[0021] Figure 2 It is a flow chart of an intelligent auxiliary design and review method for a photovoltaic power station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0023] System Example

[0024] According to an embodiment of the present invention, an intelligent auxiliary design and review system for a photovoltaic power station is provided. Figure 1 Schematic diagram of an intelligent auxiliary design and review system for photovoltaic power stations according to an embodiment of the present invention. Figure 1 As shown, the intelligent auxiliary design and review system for a photovoltaic power station according to an embodiment of the present invention specifically includes:

[0025] The rule base construction module 10 is connected with the rule parsing module, the auxiliary design module and the auxiliary review module, and is used to construct and dynamically update the rule base in real time, specifically for:

[0026] Obtain relevant rules of the photovoltaic power station in real time through the API interface, organize the relevant rules in a hierarchical structure, and store the organized rule data in a combination of JSON and relational database to obtain a constructed rule library, and extract new clauses of the relevant rules in real time and mark outdated content;

[0027] The relevant rules include national standards, industry specifications and enterprise practical experience;

[0028] The rule parsing module 12 is connected to the rule base construction module, the auxiliary design module and the auxiliary review module, and is used to parse the rule text in the rule base and generate a rule knowledge graph, specifically for:

[0029] The rule text in the rule base is parsed using a large language model to obtain structured rules, the logical relationships in the structured rules are extracted using knowledge graph technology to generate a rule knowledge graph, and the large language model is iteratively optimized and trained in real time using a supervised learning method based on the structured rules;

[0030] The auxiliary design module 14 is connected to the rule base construction module, the rule parsing module, the auxiliary review module and the user interaction module, and is used to receive the design parameters from the user interaction module, query and verify the design parameters based on the rule base and the rule knowledge graph, generate several versions of design results and corresponding rule basis, and transmit the several versions of design results to the auxiliary review module, specifically for:

[0031] Receive design parameters from the user interaction module, query and verify the design parameters based on the rule base and the rule knowledge graph, determine whether the design parameters comply with the rules, and if so, generate several versions of optimal design results and corresponding rule basis based on economic and technical indicators;

[0032] If not, generate a design suggestion that meets the rules, and generate several versions of optimal design results and corresponding rule basis based on the design suggestion and economic and technical indicators;

[0033] The corresponding rule basis is the rule clauses and logical deduction process involved in the design result;

[0034] The auxiliary review module 16 is connected to the rule base construction module, the rule parsing module, the auxiliary design module and the user interaction module, and is used to receive the design scheme and the several versions of the design results from the user interaction module, and review the design scheme and the several versions of the design results based on the rule base and the rule knowledge graph, and generate a corresponding review report, which is specifically used to:

[0035] receiving the design scheme and the optimal design results of the several versions from the user interaction module, and reviewing the design scheme and the optimal design results of the several versions item by item based on the rule base and the rule knowledge graph, and generating a corresponding review report;

[0036] The review report includes the violation content and its corresponding rule clauses, corresponding modification suggestions, improvement records of the design scheme and different versions of the design results, and the scope of influence of the rules;

[0037] The user interaction module 18 is connected to the auxiliary design module and the auxiliary review module, and is used to provide a user with a friendly visual interface and natural language interaction function, specifically for:

[0038] The review report is presented in a visual form; wherein the impact scope of the rule is presented in a graphical form.

[0039] The above technical solution of the embodiment of the present invention is described in detail below in combination with the specific situation of the intelligent auxiliary design and review system for photovoltaic power stations in the embodiment of the present invention.

[0040] The design system proposed in the embodiment of the present invention includes rule base construction and dynamic update, intelligent analysis and knowledge reasoning, and design and review auxiliary modules, specifically including:

[0041] 1. Rule base construction module

[0042] ① Source of rule data:

[0043] National standards: such as "GB / T 50797-2020 Design Specifications for Photovoltaic Power Stations".

[0044] Industry standards: such as IEC 61730.

[0045] Enterprise best practices: Rules of thumb for optimizing specific scenarios.

[0046] ②Data structure design:

[0047] The rule base is organized using a hierarchical structure, divided into top-level categories such as electrical, structural, and environmental adaptability. Each category is further refined into specific clauses to ensure the logical clarity of the rule base.

[0048] The combination of JSON and relational database supports fast parsing and storage of rules.

[0049] ③Dynamic update:

[0050] Obtain rule updates from competent authorities and industry organizations based on APIs, automatically extract new clauses and mark outdated content.

[0051] The company's internal experience rules are version managed and reviewed through the user submission interface.

[0052] 2. Rule parsing and model training module

[0053] ①Analysis method:

[0054] Use a large language model (such as the GPT architecture) to perform semantic parsing on the rule text and convert natural language rules into structured rule expressions (such as if-then rules).

[0055] Based on knowledge graph technology, logical associations between rules are extracted, such as the constraint relationship between "component inclination" and "land slope".

[0056] ②Model training:

[0057] Use supervised learning methods and use parsed rules as training sets to optimize the model's rule understanding ability.

[0058] ③Technical advantages:

[0059] Ability to identify ambiguous descriptions in rules, such as the implicit weight of "should be given priority".

[0060] Supports semantic disambiguation, such as distinguishing "bracket wind resistance" from "overall wind resistance".

[0061] 3. Design auxiliary module

[0062] ①Function description:

[0063] The user inputs design parameters (such as component model, terrain conditions, etc.), and the system automatically retrieves the rule base and returns design suggestions that meet the specifications.

[0064] Provides automatic verification function: real-time detection of whether the input parameters comply with the rules (such as spacing, inclination, and layout).

[0065] Optimization solution generation: Based on economic (levelized cost of electricity) and technical indicators (power generation efficiency), the system recommends the optimal design configuration.

[0066] ②Core innovations:

[0067] While automatically generating design results, it also returns the rules and logical deduction processes involved to enhance user trust.

[0068] Supports quick comparison and suggested corrections of multiple versions of design solutions.

[0069] 4. Review auxiliary module

[0070] ① Review logic:

[0071] The user uploads the design plan, and the system compares it with the rule library item by item, marks the parts that do not comply with the rules and gives modification suggestions.

[0072] Generate traceable audit reports including:

[0073] (1) Violations and corresponding rules and regulations;

[0074] (2) Automatically generated modification suggestions;

[0075] (3) Improvement records of different versions.

[0076] ② Improvement and innovation:

[0077] Based on the rule knowledge graph, the system makes optimization suggestions for conflicts between rules (such as the trade-off between land utilization and layout spacing).

[0078] 5. User interaction module

[0079] ①Natural language interaction:

[0080] Users can enter questions such as "What are the specifications for component spacing?"

[0081] The system returns the answer and displays the corresponding rule terms and scope of application.

[0082] ②Visualization function:

[0083] The system displays the influence range of the rules in the form of graphs, such as the influence curve of component inclination on power generation efficiency.

[0084] That is, the embodiment of the present invention proposes an intelligent auxiliary design and review system based on a photovoltaic design rule base, including a rule base construction module, a rule parsing module, a design auxiliary module, a review auxiliary module and a user interaction module, wherein the rule parsing module uses knowledge graph technology to extract rule logic; the design auxiliary module automatically generates an optimized design scheme based on user input and outputs the rule basis; the review auxiliary module compares the design schemes one by one and provides modification suggestions; the rule base construction module realizes dynamic update through an API interface. Specifically, examples of the embodiments of the present invention are as follows:

[0085] Scenario 1: Design assistance

[0086] User input: The project is located on land with a slope of 5°, uses PERC panels (size: 2m x 1m), and has a target annual power generation of 10MW.

[0087] System response: The module inclination angle is 30°, the arrangement is "north-south", the recommended module spacing is 2.5m, and the LCOE can be reduced by 5%.

[0088] Scenario 2: Review Assistance

[0089] The user uploads the design plan, and the system marks it:

[0090] The spacing between components is insufficient, which does not meet the specification clause "the minimum spacing is not less than 2m";

[0091] The support has insufficient wind resistance and it is recommended that the foundation depth be increased by 20%.

[0092] Scenario 3: Rule Query

[0093] User input question: "How to choose inverter efficiency standard?"

[0094] System answer:

[0095] "According to Article 2.4 of IEC 61730, the inverter efficiency should be no less than 98%." And provide optimization suggestions for efficiency and power output.

[0096] Method Embodiment

[0097] According to an embodiment of the present invention, an intelligent auxiliary design and review method for a photovoltaic power station is provided. Figure 2 is a flow chart of an intelligent auxiliary design and review method for a photovoltaic power station according to an embodiment of the present invention, such as Figure 2 As shown, the intelligent auxiliary design and review method for a photovoltaic power station according to an embodiment of the present invention specifically includes:

[0098] Step S201, constructing and dynamically updating a rule base in real time through a rule base construction module, specifically includes:

[0099] Obtain relevant rules of the photovoltaic power station in real time through the API interface, organize the relevant rules in a hierarchical structure, and store the organized rule data in a combination of JSON and relational database to obtain a constructed rule library, and extract new clauses of the relevant rules in real time and mark outdated content;

[0100] The relevant rules include national standards, industry specifications and enterprise practical experience;

[0101] Step S202, parsing the rule text in the rule base through a rule parsing module, and generating a rule knowledge graph;

[0102] Step S203, receiving the design parameters from the user interaction module through the auxiliary design module, querying and verifying the design parameters based on the rule base and the rule knowledge graph, generating several versions of design results and corresponding rule bases, and transmitting the several versions of design results to the auxiliary review module;

[0103] Step S204, receiving the design scheme and the several versions of design results from the user interaction module through the auxiliary review module, and reviewing the design scheme and the several versions of design results based on the rule base and the rule knowledge graph to generate a corresponding review report;

[0104] Step S205: providing the user with a friendly visual interface and natural language interaction function through the user interaction module.

[0105] The embodiment of the present invention is a method embodiment corresponding to the above-mentioned system embodiment. The specific operation of each step can be understood by referring to the description of the system embodiment, which will not be repeated here.

[0106] In summary, the system proposed in the embodiment of the present invention realizes the intelligentization and efficiency of the photovoltaic power station design and review process through the construction of a multi-dimensional rule base, intelligent analysis, design assistance and review function integration, has significant innovation and practical value, and is suitable for wide promotion and application. Specifically, the system has the following beneficial effects:

[0107] 1. Comprehensiveness: The rule base covers national, industry and enterprise rules to ensure compliance of design and review.

[0108] 2. Efficiency: Natural language analysis and intelligent suggestions can significantly shorten the time for rule review and examination.

[0109] 3. Dynamic adaptability: Automatically synchronize the latest rules to avoid compliance issues caused by changes in standards.

[0110] 4. Intelligence: Supports semantic understanding and knowledge reasoning, reducing user learning and usage costs.

[0111] Device Example 1

[0112] An embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps described in the method embodiment when executed by the processor.

[0113] Device Example 2

[0114] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by a processor, the steps described in the method embodiment are implemented.

[0115] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention 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 replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent auxiliary design and review system for photovoltaic power plants, characterized in that include: A rule base construction module is connected with the rule parsing module, the auxiliary design module and the auxiliary review module to construct and dynamically update the rule base in real time; A rule parsing module, connected to the rule base construction module, the auxiliary design module and the auxiliary review module, for parsing the rule text in the rule base and generating a rule knowledge graph; an auxiliary design module, connected to the rule base construction module, the rule parsing module, the auxiliary review module and the user interaction module, for receiving design parameters from the user interaction module, querying and verifying the design parameters based on the rule base and the rule knowledge graph, generating several versions of design results and corresponding rule bases, and transmitting the several versions of design results to the auxiliary review module; an auxiliary review module, connected to the rule base construction module, the rule parsing module, the auxiliary design module and the user interaction module, for receiving the design scheme and the several versions of the design results from the user interaction module, and reviewing the design scheme and the several versions of the design results based on the rule base and the rule knowledge graph, and generating a corresponding review report; The user interaction module is connected with the auxiliary design module and the auxiliary review module, and is used to provide users with a friendly visual interface and natural language interaction functions.

2. The system according to claim 1, characterized in that The rule base construction module is specifically used for: Obtain relevant rules of the photovoltaic power station in real time through the API interface, organize the relevant rules in a hierarchical structure, and store the organized rule data in a combination of JSON and relational database to obtain a constructed rule library, and extract new clauses of the relevant rules in real time and mark outdated content; Among them, the relevant rules include national standards, industry norms and corporate practical experience.

3. The system according to claim 1, characterized in that The rule parsing module is specifically used for: The rule text in the rule base is parsed using a large language model to obtain structured rules, the logical relationships in the structured rules are extracted using knowledge graph technology to generate a rule knowledge graph, and the large language model is iteratively optimized and trained in real time using a supervised learning method based on the structured rules.

4. The system according to claim 1, characterized in that The auxiliary design module is specifically used for: Receive design parameters from the user interaction module, query and verify the design parameters based on the rule base and the rule knowledge graph, determine whether the design parameters comply with the rules, and if so, generate several versions of optimal design results and corresponding rule basis based on economic and technical indicators; If not, generate a design suggestion that meets the rules, and generate several versions of optimal design results and corresponding rule basis based on the design suggestion and economic and technical indicators; The corresponding rule basis is the rule clauses and logical deduction process involved in the design results.

5. The system according to claim 4, characterized in that The auxiliary review module is specifically used for: receiving the design scheme and the optimal design results of the several versions from the user interaction module, and reviewing the design scheme and the optimal design results of the several versions item by item based on the rule base and the rule knowledge graph, and generating a corresponding review report; The review report includes the violation content and its corresponding rule clauses, corresponding modification suggestions, improvement records of design plans and different versions of design results, and the scope of influence of the rules.

6. The system according to claim 5, characterized in that The user interaction module is specifically used for: The review report is presented in a visual form; wherein the impact scope of the rule is presented in a graphical form.

7. An intelligent auxiliary design and review method for photovoltaic power stations, characterized in that include: Build and dynamically update the rule base in real time through the rule base building module; The rule text in the rule base is parsed by a rule parsing module, and a rule knowledge graph is generated; The auxiliary design module receives the design parameters from the user interaction module, queries and verifies the design parameters based on the rule base and the rule knowledge graph, generates several versions of design results and corresponding rule bases, and transmits the several versions of design results to the auxiliary review module; receiving the design scheme and the several versions of design results from the user interaction module through the auxiliary review module, and reviewing the design scheme and the several versions of design results based on the rule base and the rule knowledge graph to generate a corresponding review report; The user interaction module provides users with a friendly visual interface and natural language interaction functions.

8. The method according to claim 7, characterized in that The rule base construction module is used to build and dynamically update the rule base in real time, including: Obtain relevant rules of the photovoltaic power station in real time through the API interface, organize the relevant rules in a hierarchical structure, and store the organized rule data in a combination of JSON and relational database to obtain a constructed rule library, and extract new clauses of the relevant rules in real time and mark outdated content; Among them, the relevant rules include national standards, industry norms and corporate practical experience.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the intelligent assisted design and review method for a photovoltaic power station as described in any one of claims 7 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by the processor, the steps of the intelligent auxiliary design and review method for photovoltaic power stations as described in any one of claims 7 to 8 are implemented.

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