Text transmission method based on Beidou satellite and semantic communication in smart power grid

Abstract

The invention relates to the technical field of data transmission, and provides a text transmission method based on a Beidou satellite and semantic communication in a smart power grid, which comprises the following steps: S1, text generation and collection: generating text information related to power grid operation at each node of the smart power grid, S2, text processing and coding, and S3, text transmission. And S3, data format conversion: converting a semantic coding text into a signal format suitable for Beidou satellite communication, including modulating data, and converting the data into a radio frequency signal transmitted in a satellite communication frequency band. By adopting a semantic analysis model based on deep learning, complex semantic structures in texts can be deeply understood after a large number of smart power grid texts are connected, data extracted from text keyword elements are compressed and uploaded to a database in real time to serve as training sample data of the semantic analysis model, and the semantic analysis model can be used for analyzing the smart power grid texts. And autonomous learning of the semantic analysis model is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission, and in particular to a text transmission method based on Beidou satellite and semantic communication in a smart grid. Background Art

[0002] Traditional power grid communication methods mainly rely on ground communication networks. However, in some remote areas, mountainous areas, or when ground communication infrastructure is damaged by natural disasters, the reliability and coverage of ground communication networks face huge challenges. Beidou satellite communication has the advantages of wide coverage, no geographical restrictions, and high communication stability, and has gradually become an important supplementary means of remote communication for smart grids.

[0003] In terms of text information transmission, traditional communication methods are mostly based on simple text format transmission, without in-depth mining of text semantic information. This results in a large amount of data during the transmission process, low transmission efficiency, and the receiver needs to spend a lot of resources to parse and understand the information when processing it, making it difficult to quickly and accurately obtain key information and respond. At the same time, existing satellite communication technologies in smart grid applications often lack optimization for grid text transmission characteristics. For example, it is impossible to flexibly adjust transmission parameters according to text importance and channel conditions. When faced with a complex and changeable grid operating environment, it is difficult to ensure the reliability and efficiency of communication. Summary of the invention

[0004] In view of the problems existing in the prior art, the purpose of the present invention is to provide a text transmission method based on Beidou satellite and semantic communication in a smart grid to solve the problems raised by the above background technology.

[0005] To solve the above problems, the present invention adopts the following technical solution: a text transmission method based on Beidou satellite and semantic communication in a smart grid, comprising the following steps:

[0006] S1, text generation and collection, generating text information related to grid operation at each node of the smart grid and collecting the text information, wherein the text information includes at least one of equipment operation status information, fault alarm information, and power load data information;

[0007] S2, text processing and encoding, semantic extraction and annotation of the collected text information through the semantic communication module, identification of key semantic elements and annotation of their semantic categories, and then compression and encoding of the annotated semantic information to form semantically encoded text, and the semantic analysis model of deep learning is used to analyze and process the text semantics;

[0008] S3, data format conversion, converting semantically coded text into a signal format suitable for Beidou satellite communication, including modulating the data to convert it into a radio frequency signal transmitted in the satellite communication frequency band;

[0009] S4, data transmission and power adaptive adjustment, the modulated RF signal is transmitted to the Beidou satellite through the Beidou satellite communication terminal installed at the smart grid node, the Beidou satellite receives and forwards the signal to the Beidou satellite communication terminal at the receiving end, and adopts dynamic adaptive transmission power control technology to dynamically adjust the transmission power according to the satellite signal strength, channel quality and the importance level of the text information;

[0010] S5, data reception and decoding, the Beidou satellite communication terminal at the receiving end receives the signal and demodulates it into a digital signal, and the semantic communication module decodes the semantically encoded text corresponding to the digital signal to restore the annotated semantic information;

[0011] S6. Text restoration and application: restoring the complete text content according to the decoded semantic information, and performing operation management of the smart grid based on the text content. The operation management operation includes at least one of equipment maintenance scheduling, power load regulation, and grid operation status evaluation.

[0012] Preferably, in step S2, semantic extraction and annotation adopts an algorithm based on natural language processing technology, and identifies and annotates entities, attributes and relationships in the text through a predefined semantic rule base, and the deep learning semantic analysis model works in conjunction with the algorithm to supplement the analysis of fuzzy semantics or newly emerged semantic expressions that are difficult for the algorithm to handle. The algorithm formula of the natural language processing technology is: Among them, G is the probability of perceiving keyword elements, N is the number of training samples, and T n is the length of the nth target sentence, is the word of the nth target sentence at time t.

[0013] Preferably, in step S2, the semantic coding adopts a custom coding format, which performs structured coding according to the semantic category and data type to improve the coding efficiency and the accuracy of semantic expression, and introduces a check bit, which is used to quickly detect whether a data error occurs during the transmission process at the receiving end and request retransmission in time, and detect error codes or virus codes in the encoded data to ensure the security of all data transmission. The logical expression formula of the check bit is: Among them, d i To transmit the information bits of the text data, the sum of the number of "1"s in the information bits is modulo "2" and then inverted.

[0014] Preferably, in step S4, the modulation processing adopts binary phase shift keying (BPSK) satellite communication modulation method, and in the modulation process, low-density parity check code (LDPC) coding is combined to further enhance the anti-interference ability of the signal.

[0015] Preferably, in step S6, equipment maintenance scheduling includes generating a maintenance work order based on equipment fault alarm information and assigning it to maintenance personnel, power load regulation includes adjusting the output power of the power generation equipment based on the power load data information, and power grid operation status assessment includes storing and analyzing text information to assess the stability and reliability of the power grid, and adopting an artificial intelligence-based trend prediction algorithm in the analysis process to perform a predictive assessment of the future operation status of the power grid based on historical text data and current text information, and formulate a response strategy in advance.

[0016] Preferably, the text transmission method includes a text transmission system, and the text transmission system includes:

[0017] A generation and collection unit is set at each node of the intelligent network to generate and collect text information of the power grid operation;

[0018] The analysis and coding unit is connected to the generation acquisition unit and is used to perform the semantic processing step, including a semantic extraction module, a semantic annotation module, a semantic compression module and a semantic encoding module. The semantic extraction module and the semantic annotation module are used to extract and annotate keyword elements in the text data. They are both connected to the semantic rule base through the Internet transmission technology and are used to update the retrieval conditions and keyword elements in real time. The semantic compression module and the semantic encoding module are used to form a semantic code book for analyzing and processing the text semantics and forming a database for training the semantic analysis model with sample data of the semantic analysis model;

[0019] A Beidou satellite communication unit includes a transmitting terminal installed at a smart grid node and a receiving terminal at a receiving end, wherein the transmitting terminal is used to perform Beidou satellite transmission preparation steps and Beidou satellite transmission steps, and the receiving terminal is used to receive and demodulate signals forwarded by Beidou satellites, and both the transmitting terminal and the receiving terminal are equipped with a dynamic power control module and a modem combined with a channel coding technology;

[0020] The text restoration and application unit is connected to the semantic communication unit and is used to execute the text restoration and application steps and perform the operation and management of the smart grid according to the decoded semantic information. The unit includes an artificial intelligence-based trend prediction module for evaluating the operation status of the power grid.

[0021] Preferably, the semantic extraction module includes a natural language processing engine and a semantic rule base, and the natural language processing engine performs semantic analysis on text information according to the semantic rule base.

[0022] Preferably, the text restoration and application unit includes a text parsing module, an intelligent decision-making module and a feedback optimization module. The text parsing module performs in-depth analysis on the decoded semantic information based on the semantic knowledge base and converts it into structured data. The intelligent decision-making module uses a reinforcement learning algorithm to automatically generate the optimal operation management decision based on the parsed structured data and a preset power grid operation strategy library. The feedback optimization module collects the power grid operation data and manual feedback information after the decision is executed, and dynamically updates and optimizes the semantic knowledge base and the operation strategy library.

[0023] The text transmission method based on Beidou satellite and semantic communication in a smart grid provided by the present invention has the following beneficial effects:

[0024] 1. By adopting a semantic analysis model based on deep learning, after a large number of smart grid text connections, it can deeply understand the complex semantic structure in the text, and can effectively process multi-language mixed text data, and compress the data extracted from the text keyword elements in real time and upload it to the database as training sample data for the semantic analysis model, which is conducive to the autonomous learning of the semantic analysis model, overcomes the limitations of traditional semantic processing algorithms when facing fuzzy semantics or new semantic expressions, and significantly improves the accuracy and adaptability of semantic extraction and annotation.

[0025] 2. Introducing check bits in the semantic coding format enables the receiving end to quickly detect whether data errors occur during the transmission process. Once an error is found, retransmission can be requested in a timely manner, effectively avoiding grid operation and management decision-making errors caused by data errors. It can also identify error codes and virus codes in the coded data to ensure the security of all data transmission, prevent problems such as power supply imbalance caused by data errors or virus codes, and ensure the safety and stability of grid operation. DETAILED DESCRIPTION

[0026] The following examples are used to further describe the specific embodiments of the present invention. The following examples are only used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0027] This embodiment proposes a text transmission method based on Beidou satellite and semantic communication in a smart grid, comprising the following steps:

[0028] S1, text generation and collection, generating text information related to the operation of the power grid at each node of the smart grid, and collecting the text information, the text information including at least one of equipment operation status information, fault alarm information, and power load data information;

[0029] S2, text processing and encoding, semantic extraction and annotation of the collected text information through the semantic communication module, identification of key semantic elements and annotation of their semantic categories, and then compression and encoding of the annotated semantic information to form semantically encoded text, and the semantic analysis model of deep learning is used to analyze and process the text semantics;

[0030] S3, data format conversion, converting semantically coded text into a signal format suitable for Beidou satellite communication, including modulating the data to convert it into a radio frequency signal transmitted in the satellite communication frequency band;

[0031] S4, data transmission and power adaptive adjustment, the modulated RF signal is transmitted to the Beidou satellite through the Beidou satellite communication terminal installed at the smart grid node, the Beidou satellite receives and forwards the signal to the Beidou satellite communication terminal at the receiving end, and adopts dynamic adaptive transmission power control technology to dynamically adjust the transmission power according to the satellite signal strength, channel quality and the importance level of the text information;

[0032] S5, data reception and decoding, the Beidou satellite communication terminal at the receiving end receives the signal and demodulates it into a digital signal, and the semantic communication module decodes the semantically encoded text corresponding to the digital signal to restore the annotated semantic information;

[0033] S6. Text restoration and application: restoring the complete text content according to the decoded semantic information, and performing operation management of the smart grid based on the text content. The operation management operation includes at least one of equipment maintenance scheduling, power load regulation, and grid operation status evaluation.

[0034] In this embodiment, in step S2, semantic extraction and annotation adopts an algorithm based on natural language processing technology to identify and annotate entities, attributes and relationships in the text through a predefined semantic rule library, and the deep learning semantic analysis model works in conjunction with the algorithm to supplement the analysis of fuzzy semantics or newly emerged semantic expressions that are difficult for the algorithm to handle. The algorithm formula of the natural language processing technology is: Among them, G is the probability of perceiving keyword elements, N is the number of training samples, and T n is the length of the nth target sentence, is the word of the nth target sentence at time t.

[0035] In this embodiment, in step S2, the semantic coding adopts a custom coding format, which performs structured coding according to the semantic category and data type to improve the coding efficiency and the accuracy of semantic expression, and introduces a check bit to quickly detect whether a data error occurs during the transmission process at the receiving end and request retransmission in time, and detect error codes or virus codes in the encoded data to ensure the security of all data transmission. The logical expression formula of the check bit is: Among them, d i To transmit the information bits of the text data, the sum of the number of "1"s in the information bits is modulo "2" and then inverted.

[0036] In this embodiment, in step S4, the modulation process adopts the modulation method of binary phase shift keying (BPSK) satellite communication, and in the modulation process, low-density parity check code (LDPC) coding is combined to further enhance the anti-interference ability of the signal.

[0037] In this embodiment, in step S6, equipment maintenance scheduling includes generating a maintenance work order based on equipment fault alarm information and assigning it to maintenance personnel, power load regulation includes adjusting the output power of the power generation equipment based on the power load data information, and the power grid operation status assessment includes storing and analyzing text information to assess the stability and reliability of the power grid, and adopting an artificial intelligence-based trend prediction algorithm in the analysis process to perform a predictive assessment of the future operation status of the power grid based on historical text data and current text information, and formulate a response strategy in advance.

[0038] In the present invention, a semantic analysis model based on deep learning is adopted. After a large number of smart grid texts are connected, it can deeply understand the complex semantic structure in the text, and can effectively process multi-language mixed text data, and compress the data extracted from the text keyword elements in real time and upload it to the database as training sample data for the semantic analysis model, which is conducive to the autonomous learning of the semantic analysis model, overcomes the limitations of traditional semantic processing algorithms when facing fuzzy semantics or new semantic expressions, and significantly improves the accuracy and adaptability of semantic extraction and annotation.

[0039] In this embodiment, the text transmission method includes a text transmission system, and the text transmission system includes:

[0040] A generation and collection unit is set at each node of the intelligent network to generate and collect text information of the power grid operation;

[0041] The analysis and coding unit is connected to the generation acquisition unit and is used to perform semantic processing steps, including a semantic extraction module, a semantic annotation module, a semantic compression module and a semantic encoding module. The semantic extraction module and the semantic annotation module are used to extract keyword elements from text data and annotate them. They are both connected to the semantic rule base through the Internet transmission technology and are used to update the retrieval conditions and keyword elements in real time. The semantic compression module and the semantic encoding module are used to form a semantic code book for analyzing and processing text semantics and forming a database for training the semantic analysis model with sample data of the semantic analysis model;

[0042] A Beidou satellite communication unit includes a transmitting terminal installed at a smart grid node and a receiving terminal at a receiving end, wherein the transmitting terminal is used to perform Beidou satellite transmission preparation steps and Beidou satellite transmission steps, and the receiving terminal is used to receive and demodulate signals forwarded by Beidou satellites, and both the transmitting terminal and the receiving terminal are equipped with a dynamic power control module and a modem combined with a channel coding technology;

[0043] The text restoration and application unit is connected to the semantic communication unit and is used to execute the text restoration and application steps and perform the operation and management of the smart grid according to the decoded semantic information. The unit includes an artificial intelligence-based trend prediction module for evaluating the operation status of the power grid.

[0044] In this embodiment, the semantic extraction module includes a natural language processing engine and a semantic rule base, and the natural language processing engine performs semantic analysis on the text information according to the semantic rule base.

[0045] In this embodiment, the text restoration and application unit includes a text parsing module, an intelligent decision-making module and a feedback optimization module. The text parsing module performs in-depth analysis on the decoded semantic information based on the semantic knowledge base and converts it into structured data. The intelligent decision-making module uses a reinforcement learning algorithm to automatically generate the optimal operation management decision based on the parsed structured data and the preset power grid operation strategy library. The feedback optimization module collects the power grid operation data and manual feedback information after the decision is executed, and dynamically updates and optimizes the semantic knowledge base and the operation strategy library.

[0046] In the present invention, a check bit is introduced into the semantic coding format, so that the receiving end can quickly detect whether a data error occurs during the transmission process. Once an error is found, retransmission can be requested in time, effectively avoiding grid operation management decision-making errors caused by data errors, and can identify error codes and virus codes in the encoded data to ensure the security of all data transmission, prevent problems such as power supply imbalance caused by data errors or virus codes, and ensure the safety and stability of grid operation.

[0047] The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalent substitutions of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and should be included in the scope of the claims of the present invention.

Claims

1. A text transmission method based on Beidou satellite and semantic communication in smart grid, characterized in that: The following steps are involved: S1, text generation and collection, generating text information related to grid operation at each node of the smart grid and collecting the text information, wherein the text information includes at least one of equipment operation status information, fault alarm information, and power load data information; S2, text processing and encoding, semantic extraction and annotation of the collected text information through the semantic communication module, identification of key semantic elements and annotation of their semantic categories, and then compression and encoding of the annotated semantic information to form semantically encoded text, and the semantic analysis model of deep learning is used to analyze and process the text semantics; S3, data format conversion, converting semantically coded text into a signal format suitable for Beidou satellite communication, including modulating the data to convert it into a radio frequency signal transmitted in the satellite communication frequency band; S4, data transmission and power adaptive adjustment, the modulated RF signal is transmitted to the Beidou satellite through the Beidou satellite communication terminal installed at the smart grid node, the Beidou satellite receives and forwards the signal to the Beidou satellite communication terminal at the receiving end, and adopts dynamic adaptive transmission power control technology to dynamically adjust the transmission power according to the satellite signal strength, channel quality and the importance level of the text information; S5, data reception and decoding, the Beidou satellite communication terminal at the receiving end receives the signal and demodulates it into a digital signal, and the semantic communication module decodes the semantically encoded text corresponding to the digital signal to restore the annotated semantic information; S6. Text restoration and application: restoring the complete text content according to the decoded semantic information, and performing operation management of the smart grid based on the text content. The operation management operation includes at least one of equipment maintenance scheduling, power load regulation, and grid operation status evaluation.

2. The method for text transmission based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: In step S2, semantic extraction and annotation adopts an algorithm based on natural language processing technology to identify and annotate entities, attributes and relationships in the text through a predefined semantic rule base, and the deep learning semantic analysis model works in conjunction with the algorithm to supplement the analysis of fuzzy semantics or newly emerged semantic expressions that are difficult for the algorithm to handle. The algorithm formula of the natural language processing technology is: Among them, G is the probability of perceiving keyword elements, N is the number of training samples, and T n is the length of the nth target sentence, is the word of the nth target sentence at time t.

3. The text transmission method based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: In step S2, the semantic coding adopts a custom coding format, which performs structured coding according to the semantic category and data type to improve the coding efficiency and semantic expression accuracy, and introduces a check bit to quickly detect whether a data error occurs during the transmission process at the receiving end and request retransmission in time, and detect error codes or virus codes in the encoded data to ensure the security of all data transmission. The logical expression formula of the check bit is: Among them, d i To transmit the information bits of the text data, the sum of the number of "1" in the information bits is modulo "2" and then inverted.

4. The method for text transmission based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: In step S4, the modulation process adopts the modulation method of binary phase shift keying (BPSK) satellite communication, and in the modulation process, low-density parity check code (LDPC) coding is combined to further enhance the anti-interference ability of the signal.

5. The method for text transmission based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: In step S6, equipment maintenance scheduling includes generating a maintenance work order based on equipment fault alarm information and assigning it to maintenance personnel, power load regulation includes adjusting the output power of power generation equipment based on power load data information, and power grid operation status assessment includes storing and analyzing text information to assess the stability and reliability of the power grid. In the analysis process, an artificial intelligence-based trend prediction algorithm is used to perform a predictive assessment of the future operation status of the power grid based on historical text data and current text information, and a response strategy is formulated in advance.

6. The method for text transmission based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: The text transmission method comprises a text transmission system, and the text transmission system comprises: A generation and collection unit is set at each node of the intelligent network to generate and collect text information of the power grid operation; The analysis and coding unit is connected to the generation acquisition unit and is used to perform the semantic processing step, including a semantic extraction module, a semantic annotation module, a semantic compression module and a semantic encoding module. The semantic extraction module and the semantic annotation module are used to extract and annotate keyword elements in the text data. They are both connected to the semantic rule base through the Internet transmission technology and are used to update the retrieval conditions and keyword elements in real time. The semantic compression module and the semantic encoding module are used to form a semantic code book for analyzing and processing the text semantics and forming a database for training the semantic analysis model with sample data of the semantic analysis model; A Beidou satellite communication unit includes a transmitting terminal installed at a smart grid node and a receiving terminal at a receiving end, wherein the transmitting terminal is used to perform Beidou satellite transmission preparation steps and Beidou satellite transmission steps, and the receiving terminal is used to receive and demodulate signals forwarded by Beidou satellites, and both the transmitting terminal and the receiving terminal are equipped with a dynamic power control module and a modem combined with a channel coding technology; The text restoration and application unit is connected to the semantic communication unit and is used to execute the text restoration and application steps and perform the operation and management of the smart grid according to the decoded semantic information. The unit includes an artificial intelligence-based trend prediction module for evaluating the operation status of the power grid.

7. The method for text transmission based on Beidou satellite and semantic communication in smart grid according to claim 6, characterized in that: The semantic extraction module includes a natural language processing engine and a semantic rule base, and the natural language processing engine performs semantic analysis on text information according to the semantic rule base.

8. The method for text transmission based on Beidou satellite and semantic communication in a smart grid according to claim 1, characterized in that: The text restoration and application unit includes a text parsing module, an intelligent decision-making module and a feedback optimization module. The text parsing module performs in-depth analysis on the decoded semantic information based on the semantic knowledge base and converts it into structured data. The intelligent decision-making module adopts a reinforcement learning algorithm to automatically generate the optimal operation management decision based on the parsed structured data and the preset power grid operation strategy library. The feedback optimization module collects the power grid operation data and manual feedback information after the decision is executed, and dynamically updates and optimizes the semantic knowledge base and the operation strategy library.

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