Power industry data transmission method and device
By using the QUIC protocol and an adaptive compression encryption method for power data transmission, the high latency, low efficiency, and security-efficiency contradictions of new energy power plants have been resolved, achieving efficient, reliable, and secure data transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 润电能源科学技术有限公司
- Filing Date
- 2025-12-02
- Publication Date
- 2026-04-21
AI Technical Summary
In power systems, especially in new energy power plants, existing data transmission suffers from high latency, low efficiency, and a security-efficiency contradiction. The TCP protocol causes latency and reconnection overhead when the network is unstable, traditional encryption schemes increase computational burden, and firewall traversal is complex.
Data transmission is performed using the QUIC protocol, combined with adaptive compression and hierarchical encryption. Data processing strategies are dynamically adjusted through feature analysis. By utilizing QUIC multiplexing and FEC encoding, hierarchical data transmission and transparent passage through isolation gateways are achieved.
It improves the efficiency and reliability of data transmission, reduces latency and computational burden, simplifies network deployment, and enhances data integrity and security.
Smart Images
Figure CN121907933A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power data transmission, and more specifically to a power industry data transmission method and equipment. Background Technology
[0002] Currently, in the power system sector, especially in the field of new energy power generation, data communication between power plants (such as wind farms and photovoltaic power plants) and remote control centers is fundamental for achieving remote monitoring, dispatching, and operation and maintenance. This communication typically follows power industry standards, such as IEC60870-5-104 or IEC61850 protocols. These protocols usually operate on the transport layer based on the TCP / IP protocol stack, supplemented by TLS / SSL encryption to ensure data security. This existing communication method utilizes the reliability of the TCP protocol to ensure the orderly and complete transmission of data.
[0003] However, in practical power applications, especially in new energy power plants located in remote areas with complex and variable network environments, existing technologies have the following significant drawbacks that are closely related to the power industry: (1) Impact of high latency and reconnection overhead on real-time scheduling: Power systems have extremely high requirements for the real-time performance of data transmission. Traditional TCP protocols require complex retransmission and reconnection mechanisms when the network is interrupted or the packet loss rate is high. In weak network environments such as wind farms, this can lead to millisecond-level delays in the transmission of critical alarms and control commands, seriously affecting the real-time performance and accuracy of power dispatch, and may even cause safety accidents.
[0004] (2) Challenges of low transmission efficiency to massive data: With the development of smart grids, the amount of data collected by new energy power plants is growing explosively. For example, a single wind turbine can generate thousands of state parameters per second. Existing technologies transmit these massive, high-frequency, and highly redundant time-series data (such as wind speed, wind direction, blade angle, temperature, etc.) indiscriminately, resulting in network bandwidth being occupied by a large amount of invalid data. This is especially true under bandwidth-limited 4G / 5G or satellite communication links, which greatly restricts data transmission capabilities and increases operating costs.
[0005] (3) The contradiction between security and efficiency is reflected in edge devices: Power industry networks have the highest level of security requirements. However, the existing solutions use uniform high-strength encryption (such as TLS) to process all data (including non-sensitive telemetry data), which places a huge computational burden on the CPU and memory of edge devices such as the front-end machines of power plants, resulting in increased processing latency and limiting the selection of equipment, making it impossible to use more low-power, low-cost hardware. This is particularly prominent in distributed photovoltaic and distributed wind power projects that require large-scale deployment.
[0006] (4) Dilemmas of firewalls traversing power grid isolation gateways: Power systems have strict forward and reverse isolation gateways designed to prevent external attacks. Traditional TCP-based transmission protocols, due to their fixed connection characteristics, often require complex port mapping and gateway policy configuration when traversing these physical isolation devices, increasing the difficulty of deployment and maintenance, and posing a risk of being blocked by policy misjudgment. Summary of the Invention
[0007] This invention provides a data transmission method and device for the power industry to solve at least one of the above-mentioned technical problems.
[0008] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A data transmission method for the power industry, comprising: Real-time acquisition of industrial data from various devices in the power system, and feature analysis of the industrial data to obtain feature analysis results, and adaptive compression or hierarchical encryption processing of the industrial data based on the feature analysis results to obtain a data stream; The data stream is transmitted hierarchically and transparently through the power grid isolation gate based on the QUIC protocol with custom headers and masquerading packets.
[0009] Based on the above technical solution, the present invention can be further improved as follows.
[0010] Furthermore, the industrial data includes time-series data, alarm data, and control commands; The feature analysis results include the type, rate of change, and importance of the industrial data.
[0011] Furthermore, the industrial data is subjected to adaptive compression processing based on the feature analysis results, specifically including: If the industrial data is time series data, the redundancy of the time series data is determined based on the rate of change of the time series data, and differential encoding compression is performed on the time series data with high redundancy, while compression is not performed on the time series data with low redundancy. If the industrial data is of the type of alarm data or control command, then the alarm data or control command will not be compressed.
[0012] Furthermore, the criteria for determining the redundancy of the time series data are as follows: if the rate of change of the time series data is less than or equal to a preset rate of change threshold, the redundancy of the time series data is determined to be high; if the rate of change of the time series data is greater than the preset rate of change threshold, the redundancy of the time series data is determined to be low.
[0013] Furthermore, the formula for differential coding compression of the highly redundant time-series data is as follows: ; In the formula, The time-series data represents high redundancy, and , , for The first in Data, for The sequence length; This represents a differential coding compression function; express Compressed data obtained after differential coding compression processing; express The change in quantity, and , , for The first in Data.
[0014] Furthermore, the importance of the feature analysis results is characterized by sensitivity, which includes high sensitivity, medium sensitivity, and low sensitivity; The industrial data is subjected to hierarchical encryption processing based on the feature analysis results, specifically including: For highly sensitive industrial data, a high-strength encryption method is used for encryption; For moderately sensitive industrial data, a medium-strength encryption method is used for encryption; For low-sensitivity industrial data, use low-strength encryption methods or do not encrypt it at all.
[0015] Furthermore, the data stream is transmitted in a hierarchical manner, specifically including: Based on the type of industrial data, the corresponding data stream is mapped to the corresponding QUIC stream. Based on the multiplexing feature of the QUIC protocol, the data stream is transmitted in a hierarchical manner according to the transmission priority of the QUIC stream.
[0016] Furthermore, the process of hierarchically transmitting the data stream also includes: Convert multiple QUIC streams with the same transmission priority into UDP packets; The UDP data packets are FEC encoded to generate redundant packets; The UDP data packet and the redundant packet are transmitted together.
[0017] Furthermore, the process of hierarchically transmitting the data stream also includes: The data transmission rate is dynamically adjusted based on the network's RTT and packet loss rate.
[0018] Based on the above-mentioned data transmission method for the power industry, the present invention also provides a data transmission device for the power industry.
[0019] A power industry data transmission device includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the power industry data transmission method as described above.
[0020] The beneficial effects of this invention are as follows: This invention provides a data transmission method and device for the power industry, which is based on the QUIC protocol and a data feature adaptive power data security transmission mechanism. By analyzing the types, change rates, and importance of industrial data in real time, it dynamically adjusts data compression and encryption strategies, effectively solving the contradiction between high latency, low efficiency, and security-efficiency in data transmission in power systems, especially new energy power plants, and achieving efficient, reliable, and secure remote data transmission. Attached Figure Description
[0021] Figure 1 This is a flowchart of a data transmission method for the power industry according to the present invention; Figure 2 A flowchart for adaptive compression or hierarchical encryption of industrial data; Figure 3 This is a schematic diagram of hierarchical transmission and FEC encoding based on the QUIC protocol; Figure 4 This is a structural block diagram of a data transmission device for the power industry according to the present invention. Detailed Implementation
[0022] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.
[0023] Example 1: like Figure 1 As shown, a data transmission method for the power industry includes: Real-time acquisition of industrial data from various devices in the power system, and feature analysis of the industrial data to obtain feature analysis results, and adaptive compression or hierarchical encryption processing of the industrial data based on the feature analysis results to obtain a data stream; The data stream is transmitted hierarchically and transparently through the power grid isolation gate based on the QUIC protocol with custom headers and masquerading packets.
[0024] This invention discloses a data transmission method and device for the power industry. Based on the QUIC (Quick UDP Internet Connections, a UDP-based transport layer protocol developed by Google) protocol and a data characteristic adaptive power data security transmission mechanism, it dynamically adjusts data compression and encryption strategies by analyzing the types, rates of change, and importance of industrial data in real time. This effectively solves the contradiction between high latency, low efficiency, and security-efficiency in data transmission in power systems, especially new energy power plants, and achieves efficient, reliable, and secure remote data transmission.
[0025] The method of the present invention will be described in detail below.
[0026] Data collection: This invention collects industrial data (including time-series data, alarm data, control commands, etc.) from various devices (including wind turbines, photovoltaic inverters, etc.) in real time through a front-end unit deployed in the power system (specifically, a new energy power plant).
[0027] Feature analysis: The real-time collected industrial data is analyzed to determine its type, rate of change, and importance, thereby obtaining feature analysis results. Among them, time-series data, alarm data, and control commands are different types of industrial data.
[0028] Adaptive compression: For time-series data, the rate of change can be obtained by continuously monitoring the changes of data points. The redundancy of the time-series data can be determined based on the rate of change. If the rate of change of the time-series data is less than or equal to a preset rate of change threshold, the redundancy of the time-series data is determined to be high. If the rate of change of the time-series data is greater than the preset rate of change threshold, the redundancy of the time-series data is determined to be low.
[0029] For the highly redundant time-series data, differential coding compression (a compression algorithm that reduces data volume by recording the differences between data points) is performed; the formula for differential coding compression of the highly redundant time-series data is as follows: ; In the formula, The time-series data represents high redundancy, and , , for The first in Data, for The sequence length; This represents a differential coding compression function; express Compressed data obtained after differential coding compression processing; express The change in quantity, and , , for The first in Data.
[0030] The time-series data with low redundancy is not compressed.
[0031] The alarm data and control commands are not compressed.
[0032] This invention analyzes the type, rate of change, and importance of industrial data in real time. For high-frequency time-series data with low rates of change (high redundancy), such as wind turbine blade angles and photovoltaic panel temperatures, differential coding is used for efficient compression. The differential compression method can reduce the transmission bandwidth requirements of high-frequency time-series data by more than 30%, effectively alleviating network load and thus improving transmission efficiency. Important alarms or control commands are not compressed to ensure their integrity and real-time performance.
[0033] It should be noted that the redundancy levels in this invention are relative.
[0034] Hierarchical encryption: The importance of the feature analysis results is characterized by sensitivity, which includes high sensitivity, medium sensitivity, and low sensitivity. For highly sensitive industrial data, a high-strength encryption method is used for encryption; For moderately sensitive industrial data, a medium-strength encryption method is used for encryption; For low-sensitivity industrial data, use low-strength encryption methods or do not encrypt it at all.
[0035] For example, alarm data and control commands, which are highly sensitive industrial data, can be encrypted using a high-strength encryption method, such as AES-256 encryption, combined with QUIC's built-in TLS 1.3 (Transport Layer Security 1.3, the latest secure transport layer protocol version). For time-series data, including critical telemetry data, historical data, and logs, a medium-strength encryption method is used. This method can be a lightweight encryption method or a method that encrypts critical fields. Historical data and logs are encrypted using a low-strength encryption method, or not encrypted at all (relying solely on QUIC's transmission reliability to transmit directly in plaintext).
[0036] This invention dynamically adjusts encryption strength based on data sensitivity levels. For highly sensitive data (such as remote control commands and alarm messages), high-strength encryption (e.g., AES-256: Advanced Encryption Standard, a symmetric encryption algorithm with a 256-bit key length) is used; for less sensitive data (such as routine telemetry data), low-strength encryption or even no encryption is used to reduce computational overhead and transmission latency. This tiered encryption strategy avoids unnecessary computational overhead, reduces the hardware requirements and power consumption of edge devices, and thus achieves a dynamic balance between security and efficiency.
[0037] It should be noted that the terms "high," "medium," and "low" in high-strength encryption methods, medium-strength encryption methods, and low-strength encryption methods are relative.
[0038] Figure 2 This is a flowchart illustrating adaptive compression or hierarchical encryption processing of industrial data. After data acquisition, feature analysis is performed first; high-frequency time-series data undergoes differential encoding compression and is processed as low-sensitivity data; alarm data and control commands are directly encrypted with high strength and processed as high-sensitivity data. Data of different sensitivities are mapped to different QUIC streams for transmission.
[0039] Hierarchical transmission: This invention uses a proprietary data security transmission protocol based on QUIC for data transmission and customizes the QUIC protocol to make it suitable for industrial scenarios.
[0040] Data transmission in the power industry (industrial data as described in this invention) involves transmitting industrial data from a front-end machine to a back-end centralized control center. Therefore, a QUIC connection needs to be established between the front-end machine and the back-end centralized control center to traverse industrial firewalls. QUIC is based on UDP, which allows for fast connection establishment and supports multiplexing, ensuring that different data streams do not interfere with each other.
[0041] The data stream is transmitted in a hierarchical manner, specifically including: Based on the type of industrial data, the corresponding data stream is mapped to the corresponding QUIC stream. Based on the multiplexing characteristics of the QUIC protocol, the data streams are transmitted in a hierarchical manner according to their transmission priority. For example: QUIC Stream 1 (High Priority): Alarms and control commands, high-strength encryption, low latency; QUIC Stream 2 (Medium Priority): Critical telemetry data, medium-strength encryption, real-time transmission.
[0042] QUIC Stream 3 (Low Priority): Historical data or logs, with low-strength encryption or no encryption, transmitted in batches.
[0043] It should be noted that the "high", "medium", and "low" in high priority, medium priority, and low priority are relative terms.
[0044] Forward error correction: Based on the QUIC UDP packet, an FEC (Forward Error Correction, a coding technique that corrects transmission errors by adding redundant information) encoding module is added. Multiple data packets are combined into an FEC block to generate a redundant packet. When some data packets are lost at the receiving end, the original data can be recovered from the redundant packet without waiting for retransmission, thus reducing latency.
[0045] Specifically, the forward error correction process during the hierarchical transmission of the data stream is as follows: Convert multiple QUIC streams with the same transmission priority into UDP packets; The UDP data packets are FEC encoded to generate redundant packets; The UDP data packet and the redundant packet are transmitted together.
[0046] Figure 3 This is a schematic diagram of hierarchical transmission and FEC encoding based on the QUIC protocol. Figure 3 This invention demonstrates the data recovery process from QUIC stream generation to a weak network environment. Multiple different QUIC streams of the same priority generate UDP packets. These packets enter the FEC encoding module and generate redundant packets. The UDP packets and redundant packets are transmitted together in the weak network environment. When the receiving end receives the data, it uses FEC decoding to recover any potentially lost packets, ensuring reliable transmission.
[0047] This invention leverages the multiplexing and connection migration features of QUIC to ensure data transmission continuity and low latency during periods of poor network quality or network handover (such as from 4G / 5G to satellite communication). Simultaneously, it introduces forward error correction (FEC) coding to implement redundant data packet transmission at the UDP layer, improving data integrity and reliability in weak network conditions, thus achieving transmission optimization in such environments. By utilizing QUIC's connection migration and FEC coding, this invention significantly improves data transmission continuity and integrity in weak network or network handover environments, reducing packet loss rate and improving data integrity by up to 20%, thereby enhancing transmission reliability.
[0048] Firewall traversal: The QUIC protocol uses UDP and has flexible port numbers, allowing it to emulate various protocols. This invention achieves seamless bypassing of dedicated power grid isolation gateways by customizing the QUIC header to disguise it as a common industrial protocol packet.
[0049] This invention utilizes the UDP-based nature of the QUIC protocol and achieves transparent traversal of power grid isolation gateways through custom header and masquerading packet design. It eliminates the need for complex gateway policy configurations. The optimized firewall traversal mechanism greatly simplifies deployment and maintenance in complex industrial network environments, thereby simplifying network deployment.
[0050] Bandwidth adaptive: The process of hierarchically transmitting the data stream also includes: The data transmission rate is dynamically adjusted based on the network's RTT and packet loss rate.
[0051] Specifically, this invention incorporates a bandwidth detection algorithm that dynamically adjusts the data transmission rate based on network RTT (Round-Trip Time) and packet loss rate during data transmission. It reduces the transmission rate to minimize packet loss during network congestion and increases the transmission rate to fully utilize bandwidth during periods of network congestion.
[0052] Example 2: Based on the above-mentioned data transmission method for the power industry, the present invention also provides a data transmission device for the power industry.
[0053] like Figure 4 As shown, a power industry data transmission device includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the power industry data transmission method as described above.
[0054] In other words, the power industry data transmission device of this invention may include, but is not limited to: a processor and a memory; the memory is used to store computer programs; the processor is used to execute the power industry data transmission method of this invention by calling the computer programs.
[0055] In one alternative embodiment, a data transmission device for the power industry is provided, such as... Figure 4 As shown. Figure 4 The power industry data transmission device shown includes a processor and a memory. The processor and memory are connected, for example, via a bus. Optionally, the power industry data transmission device may also include a transceiver, which can be used for data interaction between the power industry data transmission device and other electronic devices, such as sending and / or receiving data. It should be noted that in practical applications, the transceiver is not limited to one unit, and the structure of this power industry data transmission device does not constitute a limitation on the embodiments of the present invention.
[0056] The processor can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLC (Programmable Logic Controller), a FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this invention. The processor can also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.
[0057] A bus can include a pathway for transmitting information between the aforementioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.
[0058] The memory may be ROM (Read Only Memory) or other types of static storage devices capable of storing static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices capable of storing information and instructions, or EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited to these.
[0059] The memory stores application code (computer program) that executes the present invention, and its execution is controlled by a processor. The processor executes the application code stored in the memory to implement the content shown in the foregoing method embodiments.
[0060] Among them, power industry data transmission equipment can also be terminal equipment. Terminal equipment can be any device that can install applications, including at least one of smartphones, tablets, laptops, desktop computers, smart speakers, smartwatches, smart TVs, and smart in-vehicle devices.
[0061] It should be noted that, Figure 4 The power industry data transmission equipment shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.
[0062] In summary, the power industry data transmission method and equipment of the present invention have the following technical effects: (1) Improve transmission efficiency: Differential coding compression method can reduce the transmission bandwidth requirement of high-frequency time-series data by more than 30%, effectively alleviating network load.
[0063] (2) Achieving a dynamic balance between security and efficiency: The hierarchical encryption strategy avoids unnecessary computational overhead and reduces the hardware requirements and power consumption of edge devices.
[0064] (3) Enhanced transmission reliability: By utilizing QUIC connection migration and FEC coding, the continuity and integrity of data transmission are significantly improved in weak network or network switching environments, the packet loss rate is reduced, and the data integrity is improved by up to 20%.
[0065] (4) Simplified network deployment: The optimized firewall traversal mechanism greatly simplifies the deployment and maintenance work in complex industrial network environments.
[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A data transmission method for the power industry, characterized in that, include: Real-time acquisition of industrial data from various devices in the power system, and feature analysis of the industrial data to obtain feature analysis results, and adaptive compression or hierarchical encryption processing of the industrial data based on the feature analysis results to obtain a data stream; The data stream is transmitted hierarchically and transparently through the power grid isolation gate based on the QUIC protocol with custom headers and masquerading packets.
2. The power industry data transmission method according to claim 1, characterized in that, The industrial data includes time-series data, alarm data, and control commands; The feature analysis results include the type, rate of change, and importance of the industrial data.
3. The power industry data transmission method according to claim 2, characterized in that, Based on the feature analysis results, the industrial data undergoes adaptive compression processing, specifically including: If the industrial data is time series data, the redundancy of the time series data is determined based on the rate of change of the time series data, and differential encoding compression is performed on the time series data with high redundancy, while compression is not performed on the time series data with low redundancy. If the industrial data is of the type of alarm data or control command, then the alarm data or control command will not be compressed.
4. The power industry data transmission method according to claim 3, characterized in that, The criteria for determining the redundancy of time-series data are as follows: if the rate of change of the time-series data is less than or equal to a preset rate of change threshold, the redundancy of the time-series data is determined to be high; if the rate of change of the time-series data is greater than the preset rate of change threshold, the redundancy of the time-series data is determined to be low.
5. The power industry data transmission method according to claim 3, characterized in that, The formula for differential coding compression of the highly redundant time-series data is as follows: ; In the formula, The time-series data represents high redundancy, and , , for The first in Data, for The sequence length; This represents a differential coding compression function; express Compressed data obtained after differential coding compression processing; express The change in quantity, and , , for The first in Data points.
6. The power industry data transmission method according to claim 2, characterized in that, The importance of the feature analysis results is characterized by sensitivity, which includes high sensitivity, medium sensitivity, and low sensitivity. The industrial data is subjected to hierarchical encryption processing based on the feature analysis results, specifically including: For highly sensitive industrial data, a high-strength encryption method is used for encryption; For moderately sensitive industrial data, a medium-strength encryption method is used for encryption; For low-sensitivity industrial data, use low-strength encryption methods or do not encrypt it at all.
7. The power industry data transmission method according to claim 1, characterized in that, The data stream is transmitted in a hierarchical manner, specifically including: Based on the type of industrial data, the corresponding data stream is mapped to the corresponding QUIC stream. Based on the multiplexing feature of the QUIC protocol, the data stream is transmitted in a hierarchical manner according to the transmission priority of the QUIC stream.
8. The power industry data transmission method according to claim 7, characterized in that, The process of hierarchically transmitting the data stream also includes: Convert multiple QUIC streams with the same transmission priority into UDP packets; The UDP data packets are FEC encoded to generate redundant packets; The UDP data packet and the redundant packet are transmitted together.
9. The power industry data transmission method according to claim 1, characterized in that, The process of hierarchically transmitting the data stream also includes: The data transmission rate is dynamically adjusted based on the network's RTT and packet loss rate.
10. A data transmission device for the power industry, characterized in that, It includes a processor, a memory, and a computer program stored in the memory, wherein when the computer program is executed by the processor, it implements the power industry data transmission method as described in any one of claims 1 to 9.