A Multi-Energy Data Collaborative Acquisition System and Method Based on Edge Computing

By building a data consensus network among edge computing terminals, the problem of energy management stations having difficulty verifying collected information is solved, enabling secure and reliable transmission and verification of information, and ensuring the reliability of energy dispatch strategies.

CN115757610BActive Publication Date: 2026-03-10STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-15
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Energy management stations have difficulty verifying the collected energy information, leading to information distortion or loss, which affects the reliability of energy dispatch strategies.

Method used

A multi-energy data collaborative acquisition system based on edge computing is constructed. By building a data consensus network among edge computing terminals, the terminals encrypt the collected information and transmit it synchronously in the consensus sub-network, and the energy management station verifies it.

Benefits of technology

Ensuring the accuracy of collected information provides a secure and reliable data guarantee for the formulation of subsequent energy dispatch strategies, and improves the privacy of data transmission and the uniqueness of keys.

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Abstract

This invention discloses a multi-energy data collaborative acquisition system and method based on edge computing, including an energy management station, a first edge computing terminal located in a static energy zone, a second edge computing terminal in a dynamic energy zone, and a third edge computing terminal in a power distribution zone. The first, second, and third edge computing terminals communicate with each other to construct a data consensus network. The energy management station acquires real-time energy data and corresponding trend tables collected by the first, second, and third edge computing terminals. By constructing a data consensus network, the edge computing terminals send the collected information to the energy management station while simultaneously encrypting and propagating the information synchronously in the corresponding consensus sub-network. Verification of the collected information verifies its correctness, providing a secure and reliable data guarantee for the formulation of subsequent scheduling strategies.
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Description

Technical Field

[0001] This invention relates to the field of information security technology, specifically to a multi-energy data collaborative acquisition system and method based on edge computing. Background Technology

[0002] Currently, a new round of energy revolution is accelerating globally, giving rise to and rapidly developing integrated energy systems that are profoundly changing human society's production and lifestyles. The future scale of the integrated energy industry is projected to reach trillions of yuan. Regional integrated energy systems encompass static energy sources such as wind, thermal, and hydropower, as well as dynamic energy sources that participate in temporary grid absorption and peak shaving, including hydrogen energy, emergency energy storage, and charging / discharging vehicles. Energy management stations need to accurately collect energy information from both static and dynamic energy zones to formulate reliable energy dispatch strategies. When the power grid system is attacked, information distortion or loss can occur. Therefore, verifying the authenticity and reliability of the collected energy information is crucial for ensuring the formulation of reliable energy dispatch strategies. Summary of the Invention

[0003] The purpose of this invention is to solve the problem that energy management stations have difficulty verifying the collected energy information. It proposes a multi-energy data collaborative acquisition system and method based on edge computing. By constructing a data consensus network where edge computing terminals communicate with each other in pairs, the edge computing terminals send the collected information to the energy management station while simultaneously encrypting and propagating the information synchronously in the corresponding consensus sub-network. The energy management station obtains and verifies the collected information in the corresponding consensus sub-network, thus verifying the correctness of the collected information and providing a secure and reliable data guarantee for the subsequent formulation of scheduling strategies.

[0004] In a first aspect, one technical solution provided in this embodiment of the invention is a multi-energy data collaborative acquisition system based on edge computing, comprising:

[0005] Energy management station, first edge computing terminal set in static energy zone, second edge computing terminal in dynamic energy zone, and third edge computing terminal in power distribution zone;

[0006] The first edge computing terminal, the second edge computing terminal, and the third edge computing terminal communicate with each other to build a data consensus network;

[0007] The first edge computing terminal is used to acquire energy output data of each energy type within the static energy partition, and calculate the first energy output trend table based on the energy output data;

[0008] The second edge computing terminal is used to acquire energy storage data within the dynamic energy zone and calculate a second energy storage trend table based on the energy storage data;

[0009] The third edge computing terminal is used to acquire energy demand data within the power distribution zone and calculate a third energy demand trend table based on the energy demand data.

[0010] The energy management station is used to acquire real-time energy data and corresponding trend tables collected by the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal.

[0011] In this scheme, dynamic energy zones include dynamic energy sources that participate in temporary grid absorption and peak shaving, such as hydrogen energy, emergency energy storage power sources, and charging and discharging power vehicles; static energy zones include static energy sources such as wind power, thermal power, and hydropower; by constructing a data consensus network for pairwise communication between edge computing terminals, the edge computing terminals send the collected information to the energy management station while simultaneously encrypting the collected information and propagating it synchronously in the corresponding consensus subnetwork; the energy management station synchronously obtains the collected information in the corresponding consensus subnetwork and verifies it, which can identify the correctness of the collected information and provide a safe and reliable data guarantee for the formulation of subsequent scheduling strategies.

[0012] Preferably, the data consensus network includes a first consensus subnetwork, a second consensus subnetwork, and a third consensus subnetwork;

[0013] The first edge computing terminal is connected to the second edge computing terminal and the third edge computing terminal through a directed network to form a first consensus sub-network;

[0014] The second edge computing terminal is connected to the first edge computing terminal and the third edge computing terminal through a directed network to form a second consensus sub-network;

[0015] The third edge computing terminal is connected to the first edge computing terminal and the second edge computing terminal through a directed network to form a third consensus sub-network.

[0016] Preferably, the energy management station stores a first key for cracking the data of the first consensus subnetwork, a second key for cracking the data of the second consensus subnetwork, and a third key for cracking the data of the first consensus subnetwork.

[0017] Preferably, the first key is a first combined code constructed from the geographic coordinate information of the second edge computing terminal and the third edge computing terminal;

[0018] The second key is a second combined code constructed from the geographic coordinate information of the first edge computing terminal and the third edge computing terminal;

[0019] The third key is a combination encoding constructed from the geographic coordinate information of the first edge computing terminal and the second edge computing terminal.

[0020] Secondly, an embodiment of the present invention also provides a technical solution: a multi-energy data collaborative acquisition method, comprising the following steps:

[0021] A data consensus network is constructed by connecting the first, second, and third edge computing terminals in pairs.

[0022] The energy management station sequentially collects energy data information from the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal;

[0023] Synchronously, the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal broadcast their own energy data information through their own consensus sub-network;

[0024] The energy management station verifies the collected energy data based on the key corresponding to the data consensus network.

[0025] Preferably, a data consensus network is constructed by connecting the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal in pairs, including:

[0026] The first edge computing terminal is connected to the second edge computing terminal and the third edge computing terminal through a directed network to form a first consensus sub-network;

[0027] The second edge computing terminal is connected to the first edge computing terminal and the third edge computing terminal through a directed network to form a second consensus sub-network;

[0028] The third edge computing terminal is connected to the first edge computing terminal and the second edge computing terminal through a directed network to form a third consensus sub-network.

[0029] Preferably, the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal broadcast their own energy data information through their own consensus subnetwork, including the following steps:

[0030] The first edge computing terminal packages real-time energy data and corresponding trend tables into a first data packet, sends the first data packet to the energy management station, and simultaneously encrypts the first data packet into a first encrypted packet using a first key, then broadcasts it to the second and third edge computing terminals; or

[0031] The second edge computing terminal packages real-time energy data and corresponding trend tables into a second data packet, sends the second data packet to the energy management station, and simultaneously encrypts the second data packet into a second encrypted packet using a second key, then broadcasts it to the first and third edge computing terminals; or

[0032] The third edge computing terminal packages real-time energy data and corresponding trend tables into a third data packet. While sending the third data packet to the energy management station, it also encrypts the third data packet into a third encrypted packet using a third key and broadcasts it to the first and second edge computing terminals.

[0033] Preferably, the energy management station verifies the collected energy data based on the key corresponding to the data consensus network, including the following steps:

[0034] While the energy management station obtains the first data packet, it simultaneously obtains the first encrypted packet from the second edge computing terminal or the third edge computing terminal, and verifies the data after decrypting the first encrypted packet with the first key; or while the energy management station obtains the second data packet, it simultaneously obtains the second encrypted packet from the first edge computing terminal or the third edge computing terminal, and verifies the data after decrypting the second encrypted packet with the second key.

[0035] While the energy management station obtains the third data packet, it simultaneously obtains the third encrypted packet from the first edge computing terminal or the second edge computing terminal. After decrypting the third encrypted packet with the third key, it verifies the data.

[0036] Preferably, the first key is a first combined code constructed from the geographic coordinate information of the second edge computing terminal and the third edge computing terminal;

[0037] The second key is a second combined code constructed from the geographic coordinate information of the first edge computing terminal and the third edge computing terminal;

[0038] The third key is a combination encoding constructed from the geographic coordinate information of the first edge computing terminal and the second edge computing terminal.

[0039] The beneficial effects of this invention are as follows: The multi-energy data collaborative acquisition system and method based on edge computing constructs a consensus network for data transmission between edge computing terminals. While sending the acquired information to the energy management station, the edge computing terminals simultaneously encrypt the information and propagate it synchronously in the corresponding consensus subnetwork. The energy management station obtains the acquired information from the corresponding consensus subnetwork, verifies it using a key, and can verify the correctness of the acquired information, providing a secure and reliable data guarantee for the subsequent formulation of scheduling strategies. Furthermore, the use of a combined code constructed from geographic coordinate information as a key greatly ensures the privacy of data transmission and the uniqueness of the key.

[0040] The above description of the invention is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0041] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings. The drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings.

[0042] Figure 1 This is a schematic diagram of the multi-energy data collaborative acquisition system based on edge computing according to the present invention.

[0043] Figure 2 This is a flowchart of a multi-energy data collaborative acquisition method according to the present invention.

[0044] The markings in the diagram are as follows: 1-Energy Management Station, 2-First Edge Computing Terminal, 3-Second Edge Computing Terminal, 4-Third Edge Computing Terminal. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only one preferred embodiment of this invention and are only used to explain this invention. They do not limit the scope of protection of this invention. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0046] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations (or steps) can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it may also have additional steps not included in the figures; the process may correspond to a method, function, procedure, subroutine, subroutine, etc.

[0047] Example: Figure 1 As shown, the multi-energy data collaborative acquisition system based on edge computing consists of an energy management station 1, a first edge computing terminal 2 set in a static energy zone, a second edge computing terminal 3 set in a dynamic energy zone, and a third edge computing terminal 3 set in a power distribution zone.

[0048] The first edge computing terminal, the second edge computing terminal, and the third edge computing terminal communicate with each other to build a data consensus network;

[0049] The first edge computing terminal is used to acquire energy output data of each energy type within the static energy partition, and calculate the first energy output trend table based on the energy output data;

[0050] The second edge computing terminal is used to acquire energy storage data within the dynamic energy zone and calculate a second energy storage trend table based on the energy storage data;

[0051] The third edge computing terminal is used to acquire energy demand data within the power distribution zone and calculate a third energy demand trend table based on the energy demand data.

[0052] The energy management station is used to acquire real-time energy data and corresponding trend tables collected by the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal.

[0053] In this embodiment, the dynamic energy partition includes dynamic energy sources participating in temporary grid absorption and peak shaving, including hydrogen energy, emergency energy storage power supplies, and charging / discharging power supply vehicles; the static energy partition includes static energy sources such as wind power, thermal power, and hydropower; the first energy output trend table is the energy output trend calculated based on historical energy output data; that is, the change trend of energy output between the current sampling period and the next adoption period; the second energy storage trend table is the energy storage trend calculated based on historical energy storage data; that is, the change trend of energy storage capacity between the current sampling period and the next adoption period; the third energy demand trend table is calculated based on historical energy demand data. Energy demand trends; that is, the changing trend of energy demand between the current sampling period and the next sampling period; the first energy output trend table, the second energy storage trend table, and the third energy demand trend table are all calculated and formulated by the corresponding edge computing terminals; by constructing a consensus network for pairwise communication between edge computing terminals, the edge computing terminals send the collected information to the energy management station while simultaneously encrypting the collected information and propagating it synchronously in the corresponding consensus subnetwork; the energy management station synchronously obtains the collected information in the corresponding consensus subnetwork and verifies it, which can identify the correctness of the collected information and provide a safe and reliable data guarantee for the formulation of subsequent scheduling strategies.

[0054] The data consensus network includes a first consensus subnetwork, a second consensus subnetwork, and a third consensus subnetwork;

[0055] The first edge computing terminal is connected to the second edge computing terminal and the third edge computing terminal through a directed network to form a first consensus sub-network;

[0056] The second edge computing terminal is connected to the first edge computing terminal and the third edge computing terminal through a directed network to form a second consensus sub-network;

[0057] The third edge computing terminal is connected to the first edge computing terminal and the second edge computing terminal through a directed network to form a third consensus sub-network.

[0058] The energy management station stores a first key for cracking the data of the first consensus subnetwork, a second key for cracking the data of the second consensus subnetwork, and a third key for cracking the data of the first consensus subnetwork.

[0059] The first key is a first combined code constructed from the geographic coordinate information of the second and third edge computing terminals.

[0060] The second key is a second combined code constructed from the geographic coordinate information of the first edge computing terminal and the third edge computing terminal.

[0061] The third key is a combination encoding constructed from the geographic coordinate information of the first edge computing terminal and the second edge computing terminal.

[0062] like Figure 2 As shown, this embodiment of the invention also provides a multi-energy data collaborative acquisition method, including the following steps: S1, constructing a data consensus network by having the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal communicate with each other in pairs.

[0063] Constructing a data consensus network by establishing pairwise communication between the first, second, and third edge computing terminals, including:

[0064] The first edge computing terminal is connected to the second edge computing terminal and the third edge computing terminal through a directed network to form a first consensus sub-network;

[0065] The second edge computing terminal is connected to the first edge computing terminal and the third edge computing terminal through a directed network to form a second consensus sub-network;

[0066] The third edge computing terminal is connected to the first edge computing terminal and the second edge computing terminal through a directed network to form a third consensus sub-network.

[0067] S2. The energy management station sequentially collects energy data information from the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal.

[0068] Synchronously, the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal broadcast their own energy data information through their own consensus subnetwork.

[0069] The first edge computing terminal, the second edge computing terminal, and the third edge computing terminal broadcast their own energy data information through their own consensus subnetwork, including the following steps:

[0070] The first edge computing terminal packages real-time energy data and corresponding trend tables into a first data packet, sends the first data packet to the energy management station, and simultaneously encrypts the first data packet into a first encrypted packet using a first key, then broadcasts it to the second and third edge computing terminals; or

[0071] The second edge computing terminal packages real-time energy data and corresponding trend tables into a second data packet, sends the second data packet to the energy management station, and simultaneously encrypts the second data packet into a second encrypted packet using a second key, then broadcasts it to the first and third edge computing terminals; or

[0072] The third edge computing terminal packages real-time energy data and corresponding trend tables into a third data packet. While sending the third data packet to the energy management station, it also encrypts the third data packet into a third encrypted packet using a third key and broadcasts it to the first and second edge computing terminals.

[0073] S3. The energy management station verifies the collected energy data based on the key corresponding to the data consensus network.

[0074] Specifically, the energy management station verifies the collected energy data based on the key corresponding to the data consensus network, including the following steps:

[0075] While the energy management station obtains the first data packet, it simultaneously obtains the first encrypted packet from the second edge computing terminal or the third edge computing terminal, and verifies the data after decrypting the first encrypted packet with the first key; or while the energy management station obtains the second data packet, it simultaneously obtains the second encrypted packet from the first edge computing terminal or the third edge computing terminal, and verifies the data after decrypting the second encrypted packet with the second key.

[0076] While the energy management station obtains the third data packet, it simultaneously obtains the third encrypted packet from the first edge computing terminal or the second edge computing terminal. After decrypting the third encrypted packet with the third key, it verifies the data.

[0077] The first key is a first combined code constructed from the geographic coordinate information of the second and third edge computing terminals;

[0078] The second key is a second combined code constructed from the geographic coordinate information of the first edge computing terminal and the third edge computing terminal;

[0079] The third key is a combination of codes constructed from the geographic coordinate information of the first and second edge computing terminals.

[0080] The specific embodiments described above are preferred embodiments of the multi-energy data collaborative acquisition system and method based on edge computing of the present invention, and are not intended to limit the specific scope of the present invention. The scope of the present invention includes but is not limited to the specific embodiments described above. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. A multi-energy data collaborative collection system based on edge computing, characterized in that, Comprising: An energy management station, a first edge computing terminal arranged in a static energy partition, a second edge computing terminal of a dynamic energy partition, a third edge computing terminal of a power distribution partition; The first edge computing terminal, the second edge computing terminal and the third edge computing terminal are in contact with each other to build a data consensus network; Wherein, the data propagated in the data consensus network is encrypted using a key, and the key is a combination code constructed based on the geographic coordinate information of the edge computing terminal receiving the encrypted data in the data consensus network; The first edge computing terminal is used for acquiring energy output data of each energy type in the static energy partition, and calculating a first energy output trend table according to the energy output data; The second edge computing terminal is used for acquiring energy inventory data in the dynamic energy partition, and calculating a second energy storage trend table according to the energy inventory data; The third edge computing terminal is used for acquiring energy demand data in the power distribution partition, and calculating a third energy demand trend table according to the energy demand data; The energy management station is used for acquiring real-time energy data and corresponding trend tables collected by the first edge computing terminal, the second edge computing terminal and the third edge computing terminal.

2. The multi-energy data collaborative collection system based on edge computing according to claim 1, wherein The data consensus network comprises a first consensus sub-network, a second consensus sub-network and a third consensus sub-network; The first edge computing terminal, the second edge computing terminal and the third edge computing terminal are connected through a directed network to form the first consensus sub-network; The second edge computing terminal is connected through a directed network to form the second consensus sub-network; The third edge computing terminal is connected through a directed network to form the third consensus sub-network.

3. The multi-energy data collaborative collection system based on edge computing according to claim 1, wherein The energy management station stores a first key for cracking the data of the first consensus sub-network, a second key for cracking the data of the second consensus sub-network, and a third key for cracking the data of the first consensus sub-network.

4. A multi-energy data collaborative collection method, applicable to the multi-energy data collaborative collection system based on edge computing according to any one of claims 1-3, characterized in that, The steps include: Building a data consensus network by contacting the first edge computing terminal, the second edge computing terminal and the third edge computing terminal with each other; The energy management station sequentially collects energy data information of the first edge computing terminal, the second edge computing terminal and the third edge computing terminal; Synchronously, the first edge computing terminal, the second edge computing terminal and the third edge computing terminal broadcast their own energy data information through their own consensus sub-networks; The energy management station verifies the collected energy data according to the corresponding key of the data consensus network. The specific steps of the energy data verification include: the energy management station synchronously acquires an encrypted same data packet forwarded by another edge computing terminal while acquiring a data packet directly sent from one edge computing terminal, and performs comparison and verification after decryption using a key, wherein the key is a combination code constructed based on geographic coordinate information of the edge computing terminal receiving the encrypted data packet.

5. The multi-energy data collaborative collection method of claim 4, wherein, the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal are connected to each other to construct a data consensus network, including: the first edge computing terminal is connected to the second edge computing terminal and the third edge computing terminal through a directed network to form a first consensus sub-network; the second edge computing terminal is connected to the first edge computing terminal and the third edge computing terminal through a directed network to form a second consensus sub-network; the third edge computing terminal is connected to the first edge computing terminal and the second edge computing terminal through a directed network to form a third consensus sub-network.

6. The multi-energy data collaborative collection method of claim 4, wherein, the first edge computing terminal, the second edge computing terminal, and the third edge computing terminal broadcast their own energy data information through their own consensus sub-networks, including the following steps: the first edge computing terminal packs real-time energy data and a corresponding trend table into a first data packet, sends the first data packet to the energy management station, and broadcasts the first data packet to the second edge computing terminal and the third edge computing terminal after encrypting the first data packet into a first encrypted packet through a first key; or the second edge computing terminal packs real-time energy data and a corresponding trend table into a second data packet, sends the second data packet to the energy management station, and broadcasts the second data packet to the first edge computing terminal and the third edge computing terminal after encrypting the second data packet into a second encrypted packet through a second key; or the third edge computing terminal packs real-time energy data and a corresponding trend table into a third data packet, sends the third data packet to the energy management station, and broadcasts the third data packet to the first edge computing terminal and the second edge computing terminal after encrypting the third data packet into a third encrypted packet through a third key.

Citation Information

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