Renewable energy station remote intelligent control system and method based on edge computing

Abstract

The invention relates to the technical field of renewable energy station remote intelligent management, in particular to a renewable energy station remote intelligent control system and method based on edge computing, and the renewable energy station remote intelligent control system based on edge computing comprises a remote centralized control management unit and a local geothermal energy station control unit. Real-time performance and fine control of local operation and maintenance are realized through an edge computing gateway, real-time control of each renewable energy source station is realized by using a remote centralized control management platform, and a means for improving the management level of the renewable energy source station in each place can be effectively found through centralized storage and centralized analysis of data, so that access requirements of more energy source stations can be met; efficient unified management is realized, and the management level and the management efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote intelligent management of renewable energy stations, and in particular to a remote intelligent control system and method for renewable energy stations based on edge computing. Background Art

[0002] Because renewable energy stations are widely distributed in various places, and the energy supply forms of each renewable energy station are different, the energy supply of renewable energy stations has not been fully utilized and effectively managed and controlled. Traditional energy stations can only monitor the operating status of the station and optimize the operation and maintenance of local working conditions, and cannot achieve refined control through local systems. Therefore, by establishing a global data sharing and analysis platform, and conducting a comprehensive analysis of the operation and maintenance data and resource data of renewable energy stations in various places, it can effectively improve energy utilization efficiency, enhance the level of differentiated and refined operation and maintenance, and reduce operation and maintenance costs. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention provides a remote intelligent control system and method for renewable energy stations based on edge computing. By deploying edge computing gateways at renewable energy stations in each region, on the one hand, the working data and climate resource data of the operating equipment in each renewable energy station are collected and uploaded to the cloud platform for centralized storage, management and analysis. The cloud platform remotely sends the analysis result data to the edge computing gateway in real time, guides the edge computing gateway to correct the local working condition operation and maintenance strategy, automatically controls and adjusts the operating status of local equipment in real time, and improves the real-time and accuracy of on-site operation and maintenance management.

[0004] To achieve the above-mentioned object, the present invention provides a remote intelligent control system for a renewable energy station based on edge computing, comprising a remote centralized control management unit and a local geothermal energy station control unit, wherein the remote centralized control management unit comprises a data analysis module, a visualization module, a data transceiver module and a data storage module connected to each other, and the local geothermal energy station control unit comprises an edge computing gateway and a device control PLC connected in sequence; The data transceiver module of the remote centralized control management unit is interconnected with the edge computing gateway of the local geothermal energy station control unit.

[0005] Preferably, the equipment control PLC of the local geothermal energy station control unit is respectively connected to the heat pump unit, heat meter, electricity meter, circulating water pump, electric valve, pressure sensor and temperature sensor through RS485 interface.

[0006] Based on the same inventive concept, the present invention also provides a remote intelligent control method for a renewable energy station based on edge computing, comprising: Using the renewable energy station remote intelligent control system to obtain real-time operating data; Analyze and process the real-time operation data to obtain analysis and processing results of the real-time operation data; The analysis and processing results are used to obtain the remote intelligent control results of the renewable energy station.

[0007] Compared with the closest prior art, the present invention has the following beneficial effects: Through the edge computing gateway, real-time and refined control of local operation and maintenance can be achieved, and real-time control of each renewable energy station can be achieved using the remote centralized control management platform. Through centralized data storage and analysis, effective means can be found to improve the management level of renewable energy stations in various places, meet the access requirements of more energy stations, achieve efficient unified management, and improve management level and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of a remote intelligent control system for a renewable energy station based on edge computing provided by the present invention; Figure 2 It is a specific schematic diagram of a remote intelligent control system for a renewable energy station based on edge computing provided by the present invention; Figure 3 This is a flow chart of a remote intelligent control method for a renewable energy station based on edge computing provided by the present invention. DETAILED DESCRIPTION

[0009] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0010] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0011] Embodiment 1: The present invention provides a remote intelligent control system for a renewable energy station based on edge computing, such as Figure 1 As shown, it includes a remote centralized control management unit and a local geothermal energy station control unit, such as Figure 2As shown, the remote centralized control management unit includes a data analysis module, a visualization module, a data transceiver module and a data storage module that are interconnected, and the local geothermal energy station control unit includes an edge computing gateway and an equipment control PLC that are connected in sequence; the data transceiver module of the remote centralized control management unit is interconnected with the edge computing gateway of the local geothermal energy station control unit, and the equipment control PLC of the local geothermal energy station control unit is respectively connected to the heat pump unit, heat meter, electricity meter, circulating water pump, electric valve, pressure sensor and temperature sensor through the RS485 interface.

[0012] In this embodiment, a remote intelligent control system for a renewable energy station based on edge computing is provided. Figure 2 As shown, the remote centralized control management platform is configured with a data transceiver module, a data storage module, a data analysis module, and a visualization module; the data transceiver module is responsible for communicating with the edge computing gateway, receiving the working data and climate resource data of the operating equipment in the local renewable energy station collected and reported by the edge computing gateway, and sending the analysis result data to the edge data gateway; the data storage module is responsible for storing the data of each local geothermal energy station for use by the data analysis module; the data analysis module is responsible for comprehensive calculation and analysis of the resource data and operation and maintenance data of each renewable energy station, and gives differentiated control result data, which is sent to the edge data gateway by the data transceiver module; the visualization module is responsible for the graphical centralized display of the operating status data of each renewable energy station; In this embodiment, a remote intelligent control system for a renewable energy station based on edge computing is provided, wherein the data analysis module and the edge computing gateway both establish a mathematical model for energy station control; The data analysis module collects the pressure, temperature, and energy meter monitoring point data of each device and pipeline in the local energy station energy supply system through the data transceiver module; According to the pressure, temperature, and energy meter monitoring point data of each equipment and pipeline, the corresponding user's indoor and outdoor temperature, humidity, solar radiation illumination and other meteorological data are obtained. Combined with the analysis of historical big data and operation and maintenance result data, the control parameters of the established mathematical model are optimized and differentiated, and the adjusted differentiated control results are sent to the edge data gateway. The edge data gateway performs real-time and refined control of the local energy station based on this parameter, thereby improving intelligent decision-making and response capabilities.

[0013] The edge computing gateway is connected to the local device control PLC through the RJ45 interface, obtains and analyzes the device data collected by the PLC; and sends the data to the data transceiver module of the remote centralized control management platform through the network; receives the control result data sent by the remote centralized control management platform through the data transceiver module, analyzes and calculates the result data, generates a control command and sends it to the local device control PLC, and the PLC controls the specified device to perform the corresponding action; The local device control PLC is connected to the heat pump unit, heat meter, electricity meter, circulating water pump, electric valve, pressure sensor, temperature sensor and other equipment through the RS485 interface, and connected to the edge computing gateway through the RJ45 interface. The circulating water pump is used for heat interaction and heat transfer; the pressure sensor is installed in the water supply pipe and the return pipe to record the real-time pressure of the pipeline; the temperature sensor is installed in the water inlet pipe and the water outlet pipe of the heat pump unit to monitor the real-time water inlet temperature and water outlet temperature; the electric valve is used to control the water flow direction or flow rate of the water pipe.

[0014] Embodiment 2: The present invention provides a remote intelligent control method for a renewable energy station based on edge computing, such as Figure 3 As shown, including: S1. Using the remote intelligent control system of the renewable energy station to obtain real-time operation data; S2. Analyze and process the real-time operation data to obtain analysis and processing results of the real-time operation data; S3. Obtaining a remote intelligent control result of the renewable energy station using the analysis and processing result.

[0015] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0016] The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0017] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0018] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0019] 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A remote intelligent control system for renewable energy stations based on edge computing, It is characterized in that It includes a remote centralized control management unit and a local geothermal energy station control unit. The remote centralized control management unit includes a data analysis module, a visualization module, a data transceiver module and a data storage module that are interconnected. The local geothermal energy station control unit includes an edge computing gateway and a device control PLC that are connected in sequence. The data transceiver module of the remote centralized control management unit is interconnected with the edge computing gateway of the local geothermal energy station control unit.

2. A remote intelligent control system for a renewable energy station based on edge computing as claimed in claim 1, It is characterized in that The equipment control PLC of the local geothermal energy station control unit is respectively connected to the heat pump unit, the heat meter, the electricity meter, the circulating water pump, the electric valve, the pressure sensor and the temperature sensor through the RS485 interface.

3. A method for remote intelligent control system of a renewable energy station based on edge computing according to any one of claims 1-2 above, It is characterized in that include: Using the renewable energy station remote intelligent control system to obtain real-time operating data; Analyze and process the real-time operation data to obtain analysis and processing results of the real-time operation data; The analysis and processing results are used to obtain the remote intelligent control results of the renewable energy station.

Images