Power transformation and distribution system network transmission data and encryption method

Abstract

The invention discloses a network transmission data and encryption method for a power transformation and distribution system. The system comprises a substation data monitoring module, an environment monitoring module, an intelligent control module, a decision model based on semantic communication and an intelligent encryption control model, the transformer substation data monitoring module is used for collecting and processing state data of various power distribution equipment in a power transformation and distribution station; the environment monitoring module is used for acquiring and processing internal and external environment monitoring videos and personnel access videos of the transformer substation; the intelligent control module is used for issuing encrypted control commands to various power distribution devices in the transformer substation and sending management and control alarms to managers; the decision-making model based on semantic communication realizes the functions of semantic extraction, coding, secure transmission, decoding and intelligent decision-making on the data of each module. According to the invention, the monitoring data is converted into semantic data for transmission, so that the data transmission quantity is greatly reduced, the transmission security is improved, the identity of a sender is verified, and the credibility of a control command is ensured.

Description

Technical Field

[0001] This invention relates to the field of digital transmission technology, and more specifically to a method for encrypting data communication in power distribution systems. Background Technology

[0002] With the advancement of communication technology and the integration of technologies such as the Internet of Things, big data, and artificial intelligence into power distribution systems, digitalization, automation, intelligence, and collaboration have been achieved. In particular, the application of 6G technology will break down the boundaries of communication, becoming a comprehensive platform integrating sensing, intelligence, and computing, bringing revolutionary changes to internet communication and even the entire human society.

[0003] Due to the adoption of ultra-high precision sensing sensors and numerous sensors of various types, the communication of power distribution systems requires the construction of a real-time, synchronous, and interactive digital system to achieve precise management and prediction. Intelligent power distribution systems utilize various communication technologies and network equipment for rapid data acquisition and transmission, which also brings security risks associated with massive amounts of data. Once the system is attacked, it will pose security threats and challenges to the intelligent power distribution system. Therefore, improving the security management of data in intelligent power distribution systems is essential. This invention addresses the data transmission security risks of intelligent power distribution systems based on the development of next-generation communication technologies.

[0004] A patent document, application number CN 117955741 B, entitled "An Encrypted Communication Method for Modbus Protocol Communication Device," is available in the Chinese Patent Database. The encrypted communication system involves a sending end and a receiving end. The encrypted communication method includes: acquiring the data to be communicated from the sending end; identifying data requiring encryption within the data to be communicated and marking a first set of remaining data; encrypting the data requiring encryption to obtain encrypted data; packaging the encrypted data and the first set of remaining data to obtain a data packet; and sending the data packet to the receiving end. This invention automatically identifies the data requiring encryption within the data to be communicated, eliminating the need for the sending end user to manually select highly important data requiring encryption from the data to be communicated, thus reducing labor costs, improving the efficiency and comprehensiveness of encrypted communication, and making it particularly suitable for encrypted communication scenarios with large amounts of data. However, the encryption method provided in this document is only applicable to relatively simple data transmission between power distribution organizations. It is not suitable for various types of equipment, devices, complex instructions, and various types of data, or even semantic descriptions, in power distribution systems, and its transmission security is difficult to adapt to the development of communication content. Summary of the Invention

[0005] The purpose of this invention is to provide a data transmission and encryption method for power distribution systems to solve the problems in the prior art. The encryption method can greatly reduce the amount of data transmission and make the communication between the intelligent control module and various devices more secure. It can verify the identity of the sender and ensure the credibility of the control commands.

[0006] The objective of this invention is achieved through the following technical solution: A method for transmitting and encrypting data in a power distribution system network, wherein the intelligent power distribution system includes: a substation data monitoring module, an environmental monitoring module, an intelligent control module, a decision model based on semantic communication, and an intelligent encryption control model; The substation data monitoring module collects and processes status data of various power distribution equipment within the substation. The environmental monitoring module is used to collect and process monitoring videos of the internal and external environment of the substation and videos of personnel entering and exiting; and to extract semantic information from the video information in the environmental monitoring module and transmit it securely. The intelligent control module is used to issue encrypted control commands to various power distribution equipment in the substation and to issue control alarms to management personnel. A semantic communication-based decision model enables semantic extraction, encoding, secure transmission, decoding, and intelligent decision-making of data from the substation data monitoring module, the environmental monitoring module, and the intelligent control module. The aforementioned method for transmitting and encrypting data in a power distribution system network involves a semantic communication-based decision model that uses artificial intelligence algorithms to categorize substation scenarios into several types of scenarios and behaviors within each type of scenario into several types of behaviors. In the environmental monitoring module, a semantic codec is used to split real-time monitoring video segments into individual frames and compare each frame with the category scenarios and category behaviors to obtain unique semantic features composed of category scenarios and category behaviors. These semantic features are then converted into one-dimensional features using an entropy coding function, and finally transformed into a one-dimensional data stream by the codec before being transmitted to the intelligent control module. In the intelligent control module, after receiving a one-dimensional data stream, the entropy decoding function decodes the transmitted semantic features, restoring them into a unique category scene and category behavior. The pre-trained decision model in the intelligent control module is used to infer the nature of the situation and the handling method. Based on the handling method, an alarm is issued to the management personnel or an encrypted control command is sent to the equipment.

[0007] The aforementioned data transmission and encryption method for the power distribution system network involves semantic extraction and secure transmission of equipment status information in the substation data monitoring module. The semantic communication-based decision model utilizes artificial intelligence algorithms to identify various substation devices and their identities, obtaining their precise status data. In the substation data monitoring module, a semantic codec compares the equipment status with historical data and data ranges to obtain unique semantic features describing the equipment status. These semantic features are then converted into one-dimensional features using an entropy encoding function, and further converted into a one-dimensional data stream before being transmitted to the intelligent control module. Upon receiving the one-dimensional data stream, the intelligent control module decodes the transmitted semantic features using an entropy decoding function, restoring them to unique category scenarios and category behaviors. The pre-trained decision model in the intelligent control module infers the nature of the situation and the appropriate handling method, issuing alarms to management personnel or sending encrypted control commands to relevant equipment based on the handling method.

[0008] The aforementioned data transmission and encryption method for the power distribution system network involves encrypting data at the intelligent control module before sending control commands to the devices. The intelligent control module is equipped with a key generator. Each device is assigned a unique, fixed integer, and each device randomly selects an integer as its key. The public key is calculated using the parameters of the key generator and sent to the intelligent control module. When the intelligent control module issues a control command for a device's status, it uses an encryption function to convert the control command into ciphertext. The ciphertext is then concatenated with the key, and another encryption function is used to convert the concatenated data into new ciphertext, which is then output to the device. The device's built-in encryption component decrypts the new ciphertext and verifies whether the message is signed by the intelligent control module. If correct, the control command is decrypted and sent to the controller for execution. The encryption / decryption component is specialized hardware or software used for encryption and decryption. Beneficial effects

[0009] Compared with existing technologies, this invention utilizes a data security management method for intelligent power distribution systems to achieve analysis, decision-making, and secure data transmission for equipment and environmental monitoring. A semantic communication-based decision model converts equipment and environmental monitoring data into semantic data for transmission, significantly reducing data transmission volume and improving data transmission security. The intelligent encrypted control model ensures secure data transmission through encrypted communication between the intelligent control module and the equipment, and verifies the sender's identity, ensuring the credibility of control commands.

[0010] In addition, this invention uses the entropy function as an encryption system for encoding and decoding, and employs an obfuscation or format compatibility technique to cleverly embed security features in the compression process, achieving optimization in specific scenarios. Due to its deep coupling with specific compression algorithms, it is difficult to decipher and has high communication security.

[0011] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0012] Figure 1 This is a schematic diagram illustrating the principle of the network data transmission and encryption method of the present invention. Detailed Implementation

[0013] Please see Figure 1 The systems involved in the data transmission and encryption methods of power distribution system networks include: substation data monitoring module, environmental monitoring module, intelligent control module, semantic communication-based decision model, and intelligent encryption control model.

[0014] Specifically, the substation data monitoring module collects electronic information from monitoring equipment. This information can clearly and intuitively reflect the current environmental conditions of the equipment within the substation, satisfying the semantic information acquisition requirements of the decision-making model based on semantic communication. The electronic information includes, but is not limited to, the operating status of power distribution equipment, real-time images from intelligent inspections, environmental data of the monitored location, security records, early warning and alarm records, equipment maintenance personnel files, equipment files, maintenance work orders, inspection plans, spare parts inventory information, maintenance records for faulty equipment, daily maintenance records, equipment overhaul records, equipment commissioning and decommissioning records, equipment service life statistical reports, a list of maintenance work order entry records, a list of exit records, and an inventory list.

[0015] The semantic communication-based decision model is based on training the electronic information data using various artificial intelligence algorithms to obtain a semantic perception model. It categorizes substation scenarios into several types, and behaviors within each type are further categorized. This model extracts semantic features by describing various events occurring within the substation using substation operation monitoring data. In the environmental monitoring module, a semantic codec is used to split real-time monitoring video segments into individual frames, and each frame is compared with the category scenarios and category behaviors to obtain unique semantic features composed of these categories. The obtained semantic features are then converted into one-dimensional features using an entropy encoding function, and further converted into a one-dimensional data stream by the codec before being transmitted to the intelligent control module. In the intelligent control module, upon receiving the one-dimensional data stream, the entropy decoding function decodes the transmitted semantic features, restoring them to unique category scenarios and category behaviors. The pre-trained decision model in the intelligent control module then infers the nature of the situation and the appropriate handling method, issuing alarms to management personnel or sending encrypted control commands to equipment according to predetermined procedures or methods.

[0016] Artificial intelligence algorithms suitable for this invention may include Random Forest, Convolutional Neural Network (CNN), Graph Neural Network (GNN), MobileNet, CNN+, etc.

[0017] The entropy decoding function is a custom-defined decoding function that converts the data stream into one-dimensional features or one-dimensional features into semantic feature data. The entropy encoding / decoding function is a pair of inverse functions, which can be defined according to the specific application.

[0018] The following provides a more detailed description of the processing steps of this invention.

[0019] Define entropy coding function Define the entropy decoding function for .in for N 3D real vector It is a collection of semantic tags.

[0020] Taking three semantic labels as an example, the encoding process is as follows: the input consists of a semantic feature data stream composed of real number vectors and semantic label pairs. ,in .

[0021] Step 1: Construct semantic tag bytes , of which Label t The binary representation of Step 2: Constructing the binary stream , of which Version number The binary representation of This is the binary representation of the metadata field, and the metadata field... It is a component that describes semantic data information.

[0022] Step 3: For each floating-point number ,when hour ,in for The IEEE 754 encoding representation. When When the sign bit and exponent are both 1 and the mantissa is 0, When the value is not numeric, the sign bit and exponent are both 1 and the mantissa is non-zero. If At that time, the sign bit If it is 0, Time sign bit Set to 1. , It is an integer. Calculate the exponent offset. binary representation of the mantissa Calculate the exponent in binary. Then generate binary combinations The results of multiple floating-point numbers are concatenated to obtain a one-dimensional data stream of semantic features. ,in .

[0023] The decoding process is as follows: input a one-dimensional data stream of semantic features. .

[0024] Step 1: Extract metadata fields Version number binary representation semantic feature labels .

[0025] The second step is to analyze the semantic features to obtain multiple labels: .

[0026] The third step is to calculate the coefficients. .

[0027] Fourth step, for Define the starting position Extract the 32-bit binary segment Decode and convert to floating-point numbers according to the IEEE 754 standard: Collect all that you get. .

[0028] Step 5: Synthesize semantic feature data stream .

[0029] Specifically, the substation data monitoring module collects equipment operating status information to satisfy the semantic information acquisition requirements of the semantic communication-based decision model. This operating status information includes, but is not limited to, real-time operating parameters of distribution terminal equipment, equipment information, abnormal currents, electrical component faults, remote meter reading, inspection, measurement, and control. The semantic communication-based decision model utilizes artificial intelligence algorithms to categorize various substation equipment and their identities. A semantic codec compares the equipment status with historical data and data ranges to obtain unique semantic features describing the equipment status. The obtained semantic features are converted into one-dimensional features using an entropy encoding function, and then converted into a one-dimensional data stream by the codec before being transmitted to the intelligent control module. In the intelligent control module, upon receiving the one-dimensional data stream, the entropy decoding function decodes the transmitted semantic features, restoring them to a unique category scenario and category behavior. The pre-trained decision model in the intelligent control module then infers the nature of the situation and the handling method, issuing alarms to management personnel or sending encrypted control commands to the equipment based on the handling method.

[0030] Specifically, the intelligent encryption control model issues encrypted control information to various power distribution equipment within the substation, and sends control commands to the equipment after encryption at the intelligent control module. The intelligent control module is equipped with a key generator, assigning a unique, fixed integer to each device. Each device randomly selects an integer as its key, calculates a public key using the parameters of the key generator, and sends the public key to the intelligent control module. When the intelligent control module issues a control command for a device's status, it uses an encryption function to convert the control command into ciphertext, concatenates the ciphertext with the key, and then selects another encryption function to convert the concatenated data into new ciphertext, which is then output to the device. The encryption / decryption component decrypts the new ciphertext and verifies whether the message is signed by the intelligent control module. If correct, the control command is decrypted and sent to the controller for execution. The key generator is not limited to linear parameter generators, bilinear parameter generators, or custom parameter generators. The encryption function is not limited to symmetric encryption functions or hash functions. The encryption / decryption component is specialized hardware or software for encryption and decryption.

[0031] Custom key generator generation parameters set in the intelligent control module ,in Let m be a random large integer, and m be the symmetric encryption key. Choose a symmetric encryption function. Find the inverse function For example, the national cryptographic algorithm SM4.

[0032] choose pairwise coprime integers ,satisfy Calculate the secret share: .

[0033] For example, for each device Define a custom integer Use your own key to calculate the public key. Then Send to the intelligent control module. A secret share Preset to each Within trusted power distribution equipment in different substations (or other equipment or components), the intelligent control module assigns a secret share to a trusted device. If the device is untrusted, the intelligent control module does not assign a secret share.

[0034] When a control command is issued to the status of a certain device At that time, the intelligent control module generates temporary random numbers. and share index set ,in For each share that needs to be collected Calculate the certified value of the share. to all spliced ​​together .structure Encryption using symmetric key m yields ,Will Send to device .equipment Received Afterwards, decryption was obtained ,equipment To the index set The specified Each trusted device requests share authentication, and each trusted device... calculate The value is returned to .

[0035] equipment Collect all indivual spliced ​​together .if and If they are equal, the control command 'o' is executed; otherwise, the command is not executed. This verifies the sender's identity, ensuring the credibility of the control command and protecting the security of data transmission.

Claims

1. A method for transmitting and encrypting data in a power distribution system network, characterized in that, The intelligent power distribution system includes: a substation data monitoring module, an environmental monitoring module, an intelligent control module, a semantic communication-based decision-making model, and an intelligent encrypted control model; The substation data monitoring module collects and processes status data of various power distribution equipment within the substation. The environmental monitoring module is used to collect and process monitoring videos of the internal and external environment of the substation and videos of personnel entering and exiting; and to extract semantic information from the video information in the environmental monitoring module and transmit it securely. The intelligent control module is used to issue encrypted control commands to various power distribution equipment in the substation and to issue control alarms to management personnel. The semantic communication-based decision model enables semantic extraction, encoding, secure transmission, decoding, and intelligent decision-making of data from the substation data monitoring module, the environmental monitoring module, and the intelligent control module.

2. The method for transmitting and encrypting data in a power distribution system network according to claim 1, characterized in that, The semantic communication-based decision model uses artificial intelligence algorithms to classify substation scenarios into several categories of scenarios and behaviors within each category into several categories of behaviors. In the environmental monitoring module, a semantic codec is used to split real-time monitoring video segments into individual frames and compare each frame with the category of scenario and category of behavior to obtain a unique semantic feature composed of the category of scenario and category of behavior. The obtained semantic feature is then converted into a one-dimensional feature through an entropy coding function, and then converted into a one-dimensional data stream by the codec before being transmitted to the intelligent control module. In the intelligent control module, after receiving a one-dimensional data stream, the entropy decoding function decodes the transmitted semantic features, restoring them into a unique category scene and category behavior. The pre-trained decision model in the intelligent control module is used to infer the nature of the situation and the handling method. Based on the handling method, an alarm is issued to the management personnel or an encrypted control command is sent to the equipment.

3. The method for transmitting and encrypting data in a power distribution system network according to claim 1, characterized in that, The system performs semantic extraction and secure transmission of equipment status information in the substation data monitoring module. The semantic communication-based decision model uses artificial intelligence algorithms to identify various substation devices and their identities, obtaining accurate status data. In the substation data monitoring module, a semantic codec compares the equipment status with historical data and data ranges to obtain unique semantic features describing the equipment status. These semantic features are then converted into one-dimensional features using an entropy encoding function, and further converted into a one-dimensional data stream before being transmitted to the intelligent control module. Upon receiving the one-dimensional data stream, the intelligent control module decodes the transmitted semantic features using an entropy decoding function, restoring them to unique category scenarios and category behaviors. The pre-trained decision model in the intelligent control module infers the nature of the situation and the handling method, issuing alarms to management personnel or sending encrypted control commands to the equipment based on the handling method.

4. The method for transmitting and encrypting data in a power distribution system network according to claim 1, characterized in that, After encryption, the intelligent control module sends control commands to the device. The intelligent control module sets up a key generator to assign a unique and fixed integer to each device. Each device randomly selects an integer as its own key, calculates the public key using the parameters of the key generator, and sends the public key to the intelligent control module. When the intelligent control module issues a control command for a certain device status, it uses an encryption function to convert the control command into ciphertext, concatenates the ciphertext with the key, and then selects another encryption function to convert the concatenated data into new ciphertext and outputs it to the device. The device's built-in encryption device decrypts the new ciphertext and verifies whether the message is signed by the intelligent control module. If it is correct, it decrypts the control command and sends it to the controller for execution.

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