Artificial intelligence platform interconnection system in energy internet field

Abstract

The invention discloses an artificial intelligence platform interconnection and intercommunication system in the field of energy internet, which is characterized by comprising a data acquisition and processing module, a data storage and management module, a data analysis and mining module, a model deployment reasoning module, a user interface interaction module, a platform interconnection and intercommunication module, a security privacy protection module and a maintenance updating module, the data acquisition and processing module is used for collecting data from various energy devices and sensors and preprocessing the data; the data storage management module is used for storing the processed data and ensuring the security and integrity of the data; the data analysis and mining module is used for deeply analyzing and researching data collected from various sources by using advanced data analysis technologies and algorithms; the user interface interaction module is used for providing a visual user interface; according to the invention, the operation efficiency and stability of the energy internet are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy internet, and in particular to an artificial intelligence platform interconnection system in the field of energy internet. Background Art

[0002] In modern society, energy Internet has become an important part of the energy development strategy. In this field, the interconnection between artificial intelligence platforms has become a key technical means, which is of great significance to promoting the development of energy Internet. Energy Internet refers to the use of advanced information technology, communication technology and intelligent control technology to closely link various energy systems, equipment and users. In the energy Internet, the interconnection between artificial intelligence platforms plays a vital role. Through these platforms, various energy data can be shared in real time, thereby providing decision makers with accurate and comprehensive information support.

[0003] However, in order to achieve more efficient and flexible energy management, different artificial intelligence systems need to be able to interconnect, that is, they must be able to seamlessly exchange information and data and work together to achieve broader energy management goals. Traditional energy systems usually operate in isolation, and information sharing and communication between systems are limited, resulting in suboptimal resource allocation and slow response to market demand. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to provide an artificial intelligence platform interconnection system in the field of energy Internet, so as to solve the problems in the prior art that traditional energy systems usually operate in isolation, and information sharing and communication between systems are limited, resulting in insufficient optimization of resource allocation and slow response to market demand.

[0005] Technical solution: The artificial intelligence platform interconnection system in the field of energy internet described in the present invention includes: a data acquisition and processing module, a data storage management module, a data analysis and mining module, a model deployment and reasoning module, a user interface interaction module, a platform interconnection module, a security and privacy protection module, and a maintenance and update module; The data acquisition and processing module is used to collect data from various energy devices and sensors and pre-process the data; the data storage management module is used to store the processed data and ensure the security and integrity of the data; the data analysis and mining module is used to use advanced data analysis techniques and algorithms to conduct in-depth analysis and research on data collected from various sources; the user interface interaction module is used to provide an intuitive user interface that allows users to monitor the operating status of the entire artificial intelligence platform system, while also being able to adjust parameters and view analysis reports.

[0006] Furthermore, the data acquisition and processing module includes: a data source module, a data acquisition module and a data preprocessing module. The data source module is responsible for collecting data from energy equipment, sensors, and control system modules; the data acquisition module is used to collect the status, performance, and operating parameters of energy equipment in real time through wired or wireless communication technology; the data preprocessing module is used to screen and unify the collected raw data.

[0007] Furthermore, the data storage management module includes a data storage module, a data management module, a data query module and a data visualization module; the data storage module is used to store the preprocessed data in a database or file system; the data management module is used to manage and maintain the data in the data storage module; the data query module is used to provide data query and retrieval functions, and the data visualization module is used to provide data visualization functions.

[0008] Furthermore, the data analysis and mining module includes a data optimization module and a data scheduling module; the data optimization module is used to use an optimization algorithm to formulate an energy scheduling plan to maximize the efficiency and minimize the cost of energy production; the data scheduling module is used to automatically adjust the operating status of energy equipment according to the prediction and optimization results to achieve efficient use of energy and energy conservation and emission reduction.

[0009] Furthermore, the user interface interaction module includes a real-time monitoring module, an analysis report module, a mobile device access module and a network remote access module; the real-time monitoring module is used to facilitate users to view the operating status of the energy system in real time, including key parameters of energy consumption, output, and efficiency; the analysis report module is used to generate detailed analysis reports to help users understand the energy consumption situation; the mobile device access module facilitates users to access the energy system through mobile devices, allowing users to monitor and adjust anytime and anywhere; the network remote access module facilitates users to remotely access the energy system through the network for monitoring and adjustment.

[0010] Furthermore, the platform interconnection module ensures that the platform can be seamlessly integrated with various existing systems, realizes the interconnection between different artificial intelligence platforms, and enables data and models to be shared between different platforms.

[0011] Furthermore, the security and privacy protection module is responsible for ensuring the security of the entire system and the privacy of users, using encryption technology and access control to ensure the security of data and models.

[0012] Furthermore, the maintenance and update module is used to ensure the stable operation and continuous improvement of the platform. This module is responsible for regular maintenance and updates of the system, fixing vulnerabilities that appear, and introducing new functions and technologies.

[0013] Furthermore, the model deployment reasoning module is used to deploy the trained AI model to the corresponding AI platform system, and use the real-time collected data for reasoning and decision-making to achieve intelligent control and optimized operation of energy equipment.

[0014] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: The artificial intelligence system interconnection method in the field of energy Internet realizes the real-time collection, analysis, processing and application of data through the synergy of various modules, effectively improving the operation efficiency and stability of the energy Internet. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the overall flow chart of the present invention; Figure 2 It is a schematic diagram of the structure of the user interface module of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0017] like Figure 1-2 As shown, an embodiment of the present invention provides an artificial intelligence platform interconnection system in the field of energy internet, including a data acquisition and processing module, a data storage management module, a data analysis and mining module, a model deployment and reasoning module, a user interface interaction module, a platform interconnection module, a security and privacy protection module, and a maintenance and update module; The data acquisition and processing module is used to collect data from various energy devices and sensors and pre-process the data; The data storage management module is used to store processed data and ensure the security and integrity of the data; The data analysis and mining module is used to use advanced data analysis techniques and algorithms to conduct in-depth analysis and research on data collected from various sources; The user interface interaction module is used to provide an intuitive user interface, allowing users to monitor the operating status of the entire artificial intelligence platform system, and also adjust parameters and view analysis reports; Among them, the data acquisition and processing module includes a data source module, a data acquisition module and a data preprocessing module. The data source module is responsible for collecting data from energy equipment, sensors, and control system modules. The data acquisition module is used to collect the status, performance, and operating parameters of energy equipment in real time through wired or wireless communication technology. The data preprocessing module is used to screen and unify the collected raw data to improve data quality and provide effective data for subsequent feature extraction and model training.

[0018] The data storage management module includes a data storage module, a data management module, a data query module and a data visualization module. The data storage module is used to store the pre-processed data in a database or file system to facilitate subsequent data analysis and processing. The data management module is used to manage and maintain the data in the data storage module, including data backup, recovery, and cleanup operations to ensure data integrity and security. The data query module is used to provide data query and retrieval functions. Users can use this module to quickly obtain the required data and improve the efficiency of data processing and analysis. The data visualization module is used to provide data visualization functions and display the data in the form of graphics and charts to facilitate users to intuitively understand and analyze the data.

[0019] The data analysis and mining module includes a data optimization module and a data scheduling module. The data optimization module is used to use optimization algorithms to formulate energy scheduling plans to maximize the efficiency and minimize the cost of energy production. The data scheduling module is used to automatically adjust the operating status of energy equipment according to the prediction and optimization results to achieve efficient energy utilization and energy conservation and emission reduction. The working method of this module is: first, it will receive information from the prediction and optimization module, and then, based on this information, it will automatically control and adjust the operating status of energy equipment to ensure efficient energy utilization and energy conservation and emission reduction.

[0020] The model deployment and reasoning module is used to deploy the trained artificial intelligence model to the corresponding energy equipment and systems, use the real-time collected data for reasoning and decision-making, and realize the intelligent control and optimized operation of energy equipment.

[0021] The user interface interaction module includes a real-time monitoring module, an analysis report module, a mobile device access module and a network remote access module. The real-time monitoring module is used to facilitate users to view the operating status of the energy system in real time, including key parameters of energy consumption, output and efficiency. The analysis report module is used to generate detailed analysis reports to help users understand the energy consumption situation. The mobile device access module facilitates users to access the energy system through mobile devices, allowing users to monitor and adjust anytime and anywhere. The network remote access module facilitates users to remotely access the energy system through the network for monitoring and adjustment. The user interface and interaction module is a very important part of the entire artificial intelligence platform system. It provides users with an intuitive and easy-to-use interface, allowing users to easily monitor the operating status of the energy system, adjust parameters, and view analysis reports. At the same time, it also supports users to remotely access the platform through mobile devices or the network, allowing users to access the energy system anytime and anywhere no matter where they are.

[0022] The platform interconnection module ensures that the platform can be seamlessly integrated with various existing systems, realizes the interconnection between different artificial intelligence platforms, enables different platforms to share data and models, and improves the operating efficiency and stability of the entire energy Internet.

[0023] The security and privacy protection module is responsible for ensuring the security of the entire system and the privacy of users. It uses encryption technology and access control to ensure the security of data and models and protect user privacy from being violated.

[0024] The maintenance and update module is used to ensure the stable operation and continuous improvement of the platform. This module is responsible for regular maintenance and updates of the system, fixing vulnerabilities, and introducing new functions and technologies. These modules collaborate with each other to jointly realize an interconnection system of artificial intelligence platforms in the field of energy Internet, ensuring that the platform's data exchange and communication processes meet security standards and prevent data leakage and unauthorized access.

[0025] Working principle: When the system is in use, the data acquisition and processing module is used to collect the status, performance, and operating parameters of energy equipment in real time through wired or wireless communication technology. The data preprocessing module is used to screen and unify the collected raw data to improve data quality and provide effective data for subsequent feature extraction and model training. Then the data storage module is used to store the preprocessed data in a database or file system to facilitate subsequent data analysis and processing. The data management module is used to manage and maintain the data in the data storage module, including data backup, recovery, and cleanup operations to ensure data integrity and security. The data query module is used to provide data query and retrieval functions. Users can quickly obtain the required data through this module to improve the efficiency of data processing and analysis. The data visualization module then displays the data in the form of graphics and charts, which is convenient for users to intuitively understand and analyze the data. Next, the data analysis and mining module analyzes and mines the stored data. The data optimization module and the data scheduling module are the core functions of this module. Data optimization works based on the prediction results and uses the optimization algorithm to formulate an energy scheduling plan to maximize the efficiency of energy production and minimize the cost. Data scheduling is responsible for automatically adjusting the operating status of energy equipment according to the prediction and optimization results to achieve efficient use of energy and energy conservation and emission reduction. The trained artificial intelligence model is then deployed to the corresponding energy equipment and system through the model deployment and reasoning module, and the real-time collected data is used for reasoning and decision-making to achieve intelligent control and optimized operation of energy equipment. Finally, the user interface interaction module provides users with an intuitive and easy-to-use interface, allowing users to easily monitor the operating status of the energy system, adjust parameters, and view analysis reports. Users can access the energy system anytime and anywhere through mobile devices or remote access platforms over the Internet. The entire system achieves interconnection between different artificial intelligence platforms through the platform interconnection module, shares data and models, and improves the operating efficiency and stability of the energy Internet. The security and privacy protection module ensures the security of data and models and protects user privacy from being violated. The maintenance and update module is responsible for regular maintenance and updates of the system, fixing vulnerabilities, and introducing new functions and technologies.

Claims

1. An artificial intelligence platform interconnection system in the field of energy internet, characterized in that: include: Data collection and processing module, data storage management module, data analysis and mining module, model deployment and reasoning module, user interface interaction module, platform interconnection module, security and privacy protection module, and maintenance and update module; The data acquisition and processing module is used to collect data from various energy devices and sensors and pre-process the data; The data storage management module is used to store the processed data and ensure the security and integrity of the data; The data analysis and mining module is used to use advanced data analysis techniques and algorithms to conduct in-depth analysis and research on data collected from various sources; The user interface interaction module is used to provide an intuitive user interface that allows users to monitor the operating status of the entire artificial intelligence platform system, while also being able to adjust parameters and view analysis reports.

2. According to claim 1, an artificial intelligence platform interconnection system in the field of energy internet, characterized in that: The data acquisition and processing module includes: a data source module, a data acquisition module and a data preprocessing module. The data source module is responsible for collecting data from energy equipment, sensors, and control system modules; the data acquisition module is used to collect the status, performance, and operating parameters of energy equipment in real time through wired or wireless communication technology; the data preprocessing module is used to screen and unify the collected raw data.

3. According to claim 1, an artificial intelligence platform interconnection system in the field of energy internet, characterized in that: The data storage management module includes a data storage module, a data management module, a data query module and a data visualization module; the data storage module is used to store the pre-processed data in a database or a file system; the data management module is used to manage and maintain the data in the data storage module; The data query module is used to provide data query and retrieval functions, and the data visualization module is used to provide data visualization functions.

4. According to claim 1, an artificial intelligence platform interconnection system in the field of energy internet, characterized in that: The data analysis and mining module includes a data optimization module and a data scheduling module; the data optimization module is used to use an optimization algorithm to formulate an energy scheduling plan to maximize the efficiency and minimize the cost of energy production; The data scheduling module is used to automatically adjust the operating status of energy equipment according to the prediction and optimization results to achieve efficient energy utilization and energy conservation and emission reduction.

5. According to claim 1, an artificial intelligence platform interconnection system in the field of energy internet, characterized in that: The user interface interaction module includes a real-time monitoring module, an analysis report module, a mobile device access module and a network remote access module; the real-time monitoring module is used to facilitate users to view the operating status of the energy system in real time, including key parameters such as energy consumption, output, and efficiency; the analysis report module is used to generate detailed analysis reports to help users understand the energy consumption situation; the mobile device access module facilitates users to access the energy system through mobile devices, allowing users to monitor and adjust anytime and anywhere; the network remote access module facilitates users to remotely access the energy system through the network for monitoring and adjustment.

6. The artificial intelligence platform interconnection system in the field of energy internet according to claim 1 is characterized in that: The platform interconnection module ensures that the platform can be seamlessly integrated with various existing systems, realizes the interconnection between different artificial intelligence platforms, and enables data and models to be shared between different platforms.

7. The artificial intelligence platform interconnection system in the field of energy internet according to claim 1 is characterized in that: The security and privacy protection module is responsible for ensuring the security of the entire system and the privacy of users. It uses encryption technology and access control to ensure the security of data and models.

8. The artificial intelligence platform interconnection system in the field of energy internet according to claim 1 is characterized in that: The maintenance and update module is used to ensure the stable operation and continuous improvement of the platform. This module is responsible for regular maintenance and updates of the system, fixing vulnerabilities, and introducing new functions and technologies.

9. The artificial intelligence platform interconnection system in the field of energy internet according to claim 1 is characterized in that: The model deployment and reasoning module is used to deploy the trained artificial intelligence model to the corresponding artificial intelligence platform system, use the real-time collected data for reasoning and decision-making, and realize the intelligent control and optimized operation of energy equipment.

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