Intelligent office system for power supply business hall

Abstract

The invention provides an intelligent office system for a power supply business hall, and the system comprises a data collection and processing module which is used for collecting original data from a plurality of data sources, carrying out the preprocessing of the original data, importing the original data into different preset types of documents according to a processing result, and storing the original data in a database; and performing corresponding structured storage according to the acquired demand information. The digital employee interaction module is used for acquiring interaction information of a user through a preset user interface or an interaction terminal, and processing and analyzing the original data through a corresponding pre-training model according to the interaction information; and the system monitoring and maintenance module is used for monitoring the running state of the system in real time, identifying system abnormity and faults through a preset judgment rule, and outputting early warning information when the corresponding system abnormity and faults are identified to be stable. According to the invention, service workers in a business hall are helped to complete daily work more efficiently and accurately, and the service handling time is shortened.

Description

Technical Field

[0001] The invention relates to the technical field of power system automation, and in particular to an intelligent office system for a power supply business hall. Background Art

[0002] With the rapid development of information technology, smart office tools have become an important tool for enterprises to improve work efficiency and optimize marketing strategies, especially in typical marketing scenarios, where the application of smart office tools has shown its unique advantages and potential. In the typical marketing scenarios of power supply business hall services, in specific work scenarios such as: power knowledge consultation, inquiry of regulatory systems at all levels, formulation of power supply plans, preparation of three types of case plans and preparation of investigation reports, etc., staff often need to query a large amount of information and collaborate with various business experts to prepare them. However, traditional marketing methods are often limited by the ability to collect, analyze and process data, making it difficult to accurately serve the actual needs of customers, which will bring the risk of queuing and timeouts for business processing. Therefore, how to use smart office tools to conduct in-depth analysis of typical marketing scenarios by combining advanced technologies such as big data and artificial intelligence has become a problem that needs to be solved urgently. Summary of the invention

[0003] The purpose of the present invention is to propose an intelligent office system for supplying power to business halls, so as to solve the technical problems of the existing methods.

[0004] On the one hand, a smart office system for supplying power to a business hall is provided, comprising:

[0005] The data collection and processing module is used to collect raw data from multiple data sources, pre-process the raw data, import the raw data into documents of different categories according to the processing results, and perform corresponding structured storage according to the acquired demand information;

[0006] The digital employee interaction module is used to obtain user interaction information through a preset user interface or interactive terminal, and process and analyze the original data through the corresponding pre-trained model according to the interaction information;

[0007] The system monitoring and maintenance module is used to monitor the system's operating status in real time, and identify system anomalies and faults through preset judgment rules. When the corresponding system anomalies and faults are identified, warning information is output.

[0008] Preferably, it also includes a large power model training module, which is used to train the processed data through a preset basic model and evaluate the basic model using a test set; and monitor the performance indicators of the basic model in real time according to the evaluation results, and adjust the corresponding training strategy when the performance indicators do not meet the preset standard parameters;

[0009] Until the basic model meets the standard parameters, the basic model is output as a pre-trained model as a knowledge graph model for building typical scenarios of power marketing.

[0010] Preferably, the data sources include at least a marketing system, a metering automation system, a scheduling system and a GIS system.

[0011] Preferably, the preprocessing at least includes cleaning, converting, storing and labeling the original data according to preset rules, and classifying according to the labeling results.

[0012] Preferably, the preset categories include at least typical design documents for business expansion, business guidelines, and knowledge bases.

[0013] Preferably, the processing and analysis of the original data through the corresponding pre-trained model at least includes user identity authentication, natural language understanding, multi-round dialogue management, task execution and feedback, knowledge base management, sentiment analysis, user portrait construction and data statistical analysis.

[0014] Preferably, the original data includes at least the grid load, grid topology, power grid, transformer load, and power consumption of industrial and commercial users and enterprise output value within the service scope.

[0015] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0016] The smart office system for supplying power business halls provided by the present invention needs to study the application of intelligent digital office tools based on machine learning to help business hall service staff complete their daily work more efficiently and accurately and reduce business processing time; the development and application research of smart office tools based on typical marketing scenarios can not only bring tangible economic benefits to the enterprise, but also promote the progress and development of the entire industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention 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 of the present invention. For ordinary technicians in this field, without paying creative labor, other drawings obtained based on these drawings still belong to the scope of the present invention.

[0018] Figure 1 The figure is a schematic diagram of an intelligent office system for supplying power to a business hall according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings.

[0020] like Figure 1 FIG. 1 is a schematic diagram of an embodiment of an intelligent office system for supplying power to a business hall provided by the present invention. In this embodiment, the system includes:

[0021] The data collection and processing module is used to collect raw data from multiple data sources, pre-process the raw data, import the raw data into documents of different categories according to the processing results, and perform corresponding structured storage according to the acquired demand information; understandably, it is responsible for collecting raw data from marketing systems, metering automation systems, dispatching systems, GIS and other systems, and performing cleaning, conversion, storage, labeling and other processing, importing typical business expansion design documents, business guidelines, knowledge bases and other documents and structuring them according to demand, providing high-quality data support for model training. Collect business expansion processing documents and knowledge base documents, such as power supply plans, etc., and structure the document data based on templates to form standardized data classified by electricity nature, capacity, user type, area, region, load, etc.

[0022] In one embodiment, the data source includes at least a marketing system, a metering automation system, a dispatching system and a GIS system. The raw data includes at least the power grid load, power grid topology, power grid, transformer load and the power consumption of industrial and commercial users and the output value of enterprises within the service scope. The preprocessing includes at least cleaning, converting, storing and labeling the raw data according to preset rules, and classifying according to the labeling results. The preset categories include at least typical design documents for business expansion, business guidelines and knowledge bases. Understandably, business system data is collected to obtain the power grid load, power grid topology, power grid and transformer load within the service scope, and the capacity access capability within a specific area is evaluated daily. Historical data such as the power consumption of industrial and commercial users and the output value of enterprises are obtained, and the effective domain features of the data are extracted based on the feature extraction model.

[0023] The digital employee interaction module is used to obtain the user's interaction information through a preset user interface or interactive terminal, and process and analyze the original data through the corresponding pre-trained model based on the interaction information; it is understandable and provides a friendly user interface and interaction method, so that users can easily interact with digital employees and realize the automated processing and intelligent analysis of power business. It mainly includes: user identity authentication, natural language understanding, multi-round dialogue management, task execution and feedback, knowledge base management, sentiment analysis, user portrait construction, data statistical analysis and other functions.

[0024] In one embodiment, the processing and analysis of the raw data by the corresponding pre-trained model at least includes user identity authentication, natural language understanding, multi-round dialogue management, task execution and feedback, knowledge base management, sentiment analysis, user portrait construction and data statistical analysis. Provide a user interface and interaction method to enable users to interact with digital employees conveniently, collect user needs based on the voice interaction capabilities of digital people, extract key information and input it into the knowledge graph model of typical power marketing scenarios, and generate different versions of solutions, logic diagrams and other files according to fixed rules.

[0025] The system monitoring and maintenance module is used to monitor the system's operating status in real time, identify system anomalies and faults through preset judgment rules, and output warning information when the corresponding system anomalies and faults are identified. Monitor the system's operating status in real time, discover and handle system anomalies and faults in a timely manner, and ensure the stable operation of the system.

[0026] It also includes a large power model training module, which is used to train the processed data through a preset basic model and evaluate the basic model using a test set; and monitor the performance indicators of the basic model in real time according to the evaluation results. When the performance indicators do not meet the preset standard parameters, adjust the corresponding training strategy; until the basic model meets the standard parameters, the basic model is output as a knowledge graph model for building a typical scenario of power marketing as a pre-trained model. Understandably, the generative pre-training model based on Transformer is used to train the processed data, and the model is evaluated using a test set to verify its performance on unseen data. Monitor the performance indicators of the model in real time so as to adjust the training strategy in time. According to the evaluation results, further optimize and adjust the model, build a knowledge graph model for typical scenarios of power marketing, and realize intelligent processing of power business. Model training, build a knowledge graph model for typical scenarios of power marketing, realize model task management and basic tool flow, and customize the development of model tool flow components in combination with business needs. Build knowledge module management, support classification retrieval, keyword retrieval, knowledge collection, document-based knowledge base, and question-answering knowledge base. Monitor the performance indicators of the model in real time so as to adjust the training strategy in time. According to business needs, the model file is quantified and trimmed to reduce the computing power required for inference. Based on the test results, the model is fine-tuned to optimize the model output results.

[0027] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0028] The smart office system for supplying power business halls provided by the present invention needs to study the application of intelligent digital office tools based on machine learning to help business hall service staff complete their daily work more efficiently and accurately and reduce business processing time; the development and application research of smart office tools based on typical marketing scenarios can not only bring tangible economic benefits to the enterprise, but also promote the progress and development of the entire industry.

[0029] The above disclosure is only a preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An intelligent office system for power supply business hall, characterized in that: include: The data collection and processing module is used to collect raw data from multiple data sources, pre-process the raw data, import the raw data into documents of different preset categories according to the processing results, and perform corresponding structured storage according to the acquired demand information; The digital employee interaction module is used to obtain user interaction information through a preset user interface or interactive terminal, and process and analyze the original data through the corresponding pre-trained model according to the interaction information; The system monitoring and maintenance module is used to monitor the system's operating status in real time and identify system anomalies and faults through preset judgment rules. When the corresponding system anomalies and faults are identified, warning information is output.

2. The system according to claim 1, characterized in that It also includes a large power model training module, which is used to train the processed data through a preset basic model and evaluate the basic model using a test set; and monitor the performance indicators of the basic model in real time according to the evaluation results, and adjust the corresponding training strategy when the performance indicators do not meet the preset standard parameters; Until the basic model meets the standard parameters, the basic model is output as a pre-trained model as a knowledge graph model for building typical scenarios of power marketing.

3. The system according to claim 2, characterized in that The data sources include at least a marketing system, a metering automation system, a scheduling system and a GIS system.

4. The system according to claim 3, characterized in that The preprocessing at least includes cleaning, converting, storing and labeling the original data according to preset rules, and classifying according to the labeling results.

5. The system according to claim 4, characterized in that The preset categories include at least typical design documents for business expansion, business guidelines, and knowledge bases.

6. The system according to claim 5, characterized in that The processing and analysis of the original data through the corresponding pre-trained model at least includes user identity authentication, natural language understanding, multi-round dialogue management, task execution and feedback, knowledge base management, sentiment analysis, user portrait construction and data statistical analysis.

7. The system according to claim 6, characterized in that The original data at least includes the grid load, grid topology, power grid, transformer load, and power consumption of industrial and commercial users and enterprise output value within the service scope.

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