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CN-122022108-A - Photovoltaic station building auxiliary decision-making system

CN122022108ACN 122022108 ACN122022108 ACN 122022108ACN-122022108-A

Abstract

The invention discloses a photovoltaic construction station auxiliary decision-making system which comprises an input module, a mixed expert large model and an output module, wherein the input module is used for acquiring photovoltaic construction station data and inputting the photovoltaic construction station data into the mixed expert large model, the mixed expert large model is used for classifying and routing the photovoltaic construction station data to the corresponding expert large model through a routing control module, the expert large model is used for processing the received photovoltaic construction station data to obtain a data processing result, an auxiliary decision-making scheme is determined through an intelligent decision-making module according to the data processing result and is sent to the output module, and the output module is used for outputting the auxiliary decision-making scheme. And the influence factors of the photovoltaic construction are comprehensively considered, and the processing capacity of the mixed expert large model on the specific complex task is utilized to generate an auxiliary decision scheme of the photovoltaic construction, so that the efficiency, the certainty and the comprehensiveness of the decision of the photovoltaic construction are improved.

Inventors

  • ZHANG JIN

Assignees

  • 阳光电源股份有限公司

Dates

Publication Date
20260512
Application Date
20241111

Claims (10)

  1. 1. A photovoltaic building station auxiliary decision-making system is characterized by comprising an input module, a mixed expert large model and an output module, wherein the mixed expert large model comprises a route control module, a plurality of expert large models and an intelligent decision-making module, The input module is used for acquiring photovoltaic building data and inputting the photovoltaic building data into the mixed expert large model; The mixed expert large model is used for classifying and routing the photovoltaic construction data to the corresponding expert large model through the routing control module, processing the received photovoltaic construction data through the expert large model to obtain a data processing result, determining an auxiliary decision scheme through the intelligent decision module according to the data processing result, and sending the auxiliary decision scheme to the output module; the output module is used for outputting the auxiliary decision scheme.
  2. 2. The photovoltaic building station aid decision making system according to claim 1, wherein the route control module comprises a route control agent, a route control planning unit, a route control tool set, a route control memory unit and a route control execution unit, wherein the route control planning unit, the route control tool set, the route control memory unit and the route control execution unit are connected with the route control agent; The routing control planning unit is used for providing a routing control strategy; The routing control tool set is used for providing tools needed to be used by the routing control strategy; The route control memory unit is used for providing memory information needed by the route control strategy; The routing control execution unit is used for carrying out routing control on the photovoltaic construction data according to the routing control strategy, the routing control intelligent agent is used for acquiring the routing control strategy from the routing control planning unit, intensively acquiring tools corresponding to the routing control strategy from the routing control tools, acquiring routing memory information corresponding to the routing control strategy from the routing control memory unit, calling the routing control execution unit, classifying and matching the photovoltaic construction data according to the routing control strategy, the routing memory information and the tools corresponding to the routing control strategy into a proper expert large model, and routing the photovoltaic construction data to the matched expert large model.
  3. 3. The photovoltaic website-building-assistant decision-making system according to claim 2, wherein the route control agent is a single agent integrating data preprocessing, feature processing and classification, and route decision and execution; Or the routing control agent is a multi-agent subsystem composed of data preprocessing agents, feature processing and classifying agents, and routing decision and executing agents.
  4. 4. The photovoltaic construction aid decision making system according to claim 3, wherein the routing control strategy comprises a data preprocessing strategy, a feature processing strategy, a feature classification strategy and a routing execution strategy, wherein the data preprocessing agent performs data preprocessing on the photovoltaic construction data by using a data preprocessing tool acquired from the routing control tool set based on the data preprocessing strategy to acquire photovoltaic construction preprocessing data; The feature processing and classifying agent is used for carrying out feature processing on the photovoltaic construction pretreatment data by using a feature processing tool acquired from the route control tool set based on the feature processing strategy to acquire photovoltaic construction feature processing data; The routing decision and execution agent is used for routing the classified photovoltaic construction data to the matched expert big model according to the characteristic classification result and the model capacity of each expert big model obtained from the routing control memory unit based on the routing execution strategy.
  5. 5. The photovoltaic building station aid decision making system according to claim 1, wherein the intelligent decision making module comprises an intelligent decision making agent, and an intelligent decision making planning unit, an intelligent decision making tool set, an intelligent decision memory unit and an intelligent decision making executing unit connected with the intelligent decision making agent; the intelligent decision planning unit is used for providing an intelligent decision strategy; the intelligent decision tool set is used for providing tools which are needed to be used by the intelligent decision strategy; The intelligent decision memory unit is used for providing memory information needed to be used by the intelligent decision strategy; The intelligent decision executing unit is used for generating an auxiliary decision scheme according to the intelligent decision strategy and the photovoltaic building data; The intelligent decision agent is used for acquiring an intelligent decision strategy from the intelligent decision planning unit, acquiring tools corresponding to the intelligent decision strategy from the intelligent decision tool set, acquiring decision memory information corresponding to the intelligent decision strategy from the intelligent decision memory unit, calling the intelligent decision executing unit to generate an auxiliary decision scheme according to the intelligent decision strategy, the decision memory information and the tools corresponding to the intelligent decision strategy and the data processing results output by the expert big models.
  6. 6. The photovoltaic website-building auxiliary decision-making system according to claim 5, wherein the intelligent decision-making agent is a single agent integrating data integration and decision-making; Or the intelligent decision agent is a multi-agent subsystem composed of a data integration agent, a decision generation agent and a decision evaluation agent.
  7. 7. The photovoltaic website-built-up aided decision-making system of claim 6, wherein the intelligent decision-making strategy comprises a data integration strategy, a decision-making strategy, and a decision-modeling evaluation strategy; the data integration agent is used for integrating data of the data processing results output by the expert large models by utilizing a data integration tool corresponding to the data integration strategy obtained from the intelligent decision tool set to obtain integrated data; The decision generation agent is used for generating an initial decision scheme according to the integrated data and the decision memory information corresponding to the decision generation strategy acquired from the intelligent decision memory unit by utilizing a decision generation tool corresponding to the decision generation strategy acquired from the intelligent decision tool set; The decision evaluation agent is used for carrying out simulation evaluation on the initial decision scheme based on the decision simulation evaluation strategy to obtain an evaluation result, and optimizing the initial decision scheme according to the evaluation result to obtain an auxiliary decision scheme.
  8. 8. The photovoltaic construction assist decision system of claim 5 further comprising storing the assist decision scheme to the intelligent decision memory unit.
  9. 9. The photovoltaic construction assist decision system of claim 1 wherein the expert macrocode comprises at least one of a geographic expert macrocode, a climate expert macrocode, an economic expert macrocode, an energy-efficient environmental expert macrocode, an equipment maintenance expert macrocode, an engineering design expert macrocode, and a specification audit expert macrocode.
  10. 10. The photovoltaic construction aid decision making system according to claim 1 or 9, further comprising a knowledge base for providing knowledge data for model parameter updating and optimization of the expert large model or for processing received photovoltaic construction data by the expert large model.

Description

Photovoltaic station building auxiliary decision-making system Technical Field The invention relates to the technical field of big data, in particular to a photovoltaic station building auxiliary decision-making system. Background With the rapid development of new energy industry, the number of building stations of photovoltaic power generation systems is increasing from large-scale centralized photovoltaic power stations to household distributed roof photovoltaic systems. The construction of photovoltaic power stations requires consideration of various complex factors, the data sources of which are different in format, and the integration and analysis of which are very complex. The traditional method mainly relies on manual experience to select a plurality of main influencing factors, and measures the influencing factors, so that the station building decision of the photovoltaic power generation system is realized, the complex relation of various influencing factors cannot be comprehensively considered, the efficiency of the station building decision of the photovoltaic power generation system is low, and uncertainty and limitation exist. Disclosure of Invention The invention provides a photovoltaic station building auxiliary decision-making system, which aims to solve the problems that the efficiency of the traditional method for carrying out the photovoltaic station building decision-making by relying on manual experience is low, and uncertainty and limitation exist. In a first aspect, an embodiment of the present invention provides a photovoltaic building station auxiliary decision-making system, including: the system comprises an input module, a mixed expert large model and an output module, wherein the mixed expert large model comprises a route control module, a plurality of expert large models and an intelligent decision module, The input module is used for acquiring photovoltaic building data and inputting the photovoltaic building data into the mixed expert large model; The mixed expert large model is used for classifying and routing the photovoltaic construction data to the corresponding expert large model through the routing control module, processing the received photovoltaic construction data through the expert large model to obtain a data processing result, determining an auxiliary decision scheme through the intelligent decision module according to the data processing result, and sending the auxiliary decision scheme to the output module; the output module is used for outputting the auxiliary decision scheme. The technical scheme of the embodiment of the invention provides a photovoltaic construction station auxiliary decision making system which comprises an input module, a mixed expert large model and an output module, wherein the mixed expert large model comprises a routing control module, a plurality of expert large models and an intelligent decision making module, the input module is used for acquiring photovoltaic construction station data and inputting the photovoltaic construction station data into the mixed expert large model, the mixed expert large model is used for classifying and routing the photovoltaic construction station data to the corresponding expert large model through the routing control module, the expert large model is used for processing the received photovoltaic construction station data to obtain a data processing result, the intelligent decision making module is used for determining an auxiliary decision making scheme according to the data processing result and sending the auxiliary decision making scheme to the output module, and the output module is used for outputting the auxiliary decision making scheme. By comprehensively considering the influence factors of the photovoltaic construction and utilizing the processing capacity of the mixed expert large model on the specific complex task to generate an auxiliary decision scheme of the photovoltaic construction, the problems that the traditional method relies on manual experience to carry out the photovoltaic construction decision are low in efficiency and have uncertainty and limitation are solved, and the method has the beneficial effects of improving the efficiency, the certainty and the comprehensiveness of the photovoltaic construction decision. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows. Drawings In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawing