Generality information sub-channel aggregated electric power wireless communication terminal semantic modular division data transmission method and system

Abstract

The invention discloses a common information sub-channel aggregated electric power wireless communication terminal semantic modular division data transmission method, which comprises the following steps of: acquiring electric power wireless communication service data and a network channel state, calculating to obtain semantic common personality information of the electric power service data, and transmitting semantic personality information data of an electric power communication terminal by adopting an independent sub-channel. Dynamic sub-channel aggregation is adopted to transmit semantic common information data of the electric power communication terminal, and a receiving end reconstructs and recovers data of the electric power communication terminal; therefore, the semantic modular division data transmission of the electric power wireless communication terminal with the general information sub-channel aggregation is completed. The invention also discloses a system for realizing the electric power wireless communication terminal semantic modular division data transmission method for general information sub-channel aggregation. According to the method, the semantic modular division data transmission of the electric power wireless communication terminal with general information sub-channel aggregation is realized, and the overall transmission efficiency is higher.

Description

A Semantic Modular Data Transmission Method and System for Power Wireless Communication Terminals Based on Common Information Sub-channel Aggregation Technical Field

[0001] This invention belongs to the field of power wireless communication, specifically relating to a semantic modular data transmission method and system for power wireless communication terminals that aggregates common information sub-channels. Background Technology

[0002] As the intelligent transformation of new power systems accelerates, the application scenarios of power wireless private networks continue to expand, covering diversified services such as intelligent inspection, equipment status monitoring, and precise load control. These services not only place stringent requirements on communication reliability and security, but also face explosive growth in service data due to massive terminal access, especially for high-bandwidth, high-real-time services such as high-definition video surveillance and multi-dimensional equipment status perception. This poses a serious bottleneck to traditional power wireless communication technologies in terms of spectrum resource utilization and data transmission efficiency.

[0003] Semantic communication, as a disruptive new communication paradigm that overturns traditional bitstream transmission, has the core advantage of extracting and representing semantic information from service data. It transmits only feature information containing core semantics rather than the original data, significantly improving information transmission efficiency under limited spectrum resources. This effectively alleviates bandwidth pressure on power wireless private networks and provides a highly promising technological direction for solving communication bottlenecks in scenarios with massive terminal access. To adapt to the application of semantic communication in power wireless private networks, semantic modular division multiplexing (SMD) technology has been gradually introduced. This technology constructs different transmission modes in the semantic feature space to achieve multiplexed transmission of semantic information from multiple users. Some solutions attempt to distinguish between common and individual semantic features of multi-user services to improve resource reuse efficiency.

[0004] However, existing semantic modular transmission schemes have significant drawbacks: on the one hand, they fail to fully consider the complex and variable channel environment characteristics of power wireless private networks and ignore the impact of signal-to-noise ratio differences between different terminal access links on the accuracy of semantic feature extraction, resulting in deviations between extracted common and individual semantic features, which in turn affects the reliability of data transmission; on the other hand, they do not consider the aggregation and optimization configuration of channel resources corresponding to the common semantic information of multiple users, which makes it difficult to fully utilize the spectral efficiency of common semantic transmission, making it difficult to achieve the optimal balance between transmission reliability and spectral efficiency, and failing to meet the high reliability and high efficiency communication requirements of massive terminals in new power systems.

[0005] Compared to conventional technologies, this invention, while inheriting the traditional power wireless communication architecture, further proposes a semantic modular data transmission method and system for power wireless communication terminals based on common information sub-channel aggregation. This invention extracts semantic features from power service data information using a semantic feature extractor; it uses thresholds to distinguish common and individual information of the semantic features of power service data, reducing the channel bandwidth required by the transmitting end; it transmits individual information using separate sub-channels, and uses dynamic channel aggregation technology to match the optimal aggregation sub-channel for common information based on channel interference, channel capacity, and the amount of information to be transmitted; at the receiving end, it reconstructs the original power service data information using the common and individual information. This achieves semantic differentiation and multiplexing, as well as automatic matching of transmission channels, further improving bandwidth utilization and transmission efficiency. Summary of the Invention

[0006] One of the objectives of this invention is to provide a semantic modular data transmission method for power wireless communication terminals that aggregates common information sub-channels with high transmission efficiency.

[0007] The second objective of this invention is to provide a system for implementing the semantic modular data transmission method of power wireless communication terminals that aggregates common information sub-channels.

[0008] The semantic modulus-division data transmission method for power wireless communication terminals with common information sub-channel aggregation provided by this invention includes the following steps:

[0009] S1. Collect power wireless communication service data and network channel status;

[0010] S2. Calculate and acquire semantic common-individual information of power business data;

[0011] S3. Semantic personalized information data of the power communication terminal is transmitted using an independent sub-channel;

[0012] S4. Employ dynamic sub-channel aggregation to transmit semantic common information data of power communication terminals;

[0013] S5. The receiving end reconstructs and restores the power communication terminal data.

[0014] Step S1, which involves collecting power wireless communication service data and network channel status, specifically includes the following steps:

[0015] Suppose a power wireless communication terminal needs to collect and transmit K (K ranges from 10 to 100) identical service data at equal intervals in each communication cycle. The terminal is supported by N power wireless sub-channels (N is a positive integer), and each No.n wireless sub-channel (n = 1, ..., N) has a communication capacity of B. n ;

[0016] In the current communication cycle, the service data collected by the power wireless communication terminal constitutes a data set X = {x1,...,x} k ,...,x K}, where x k Data No.k collected in each communication cycle, k = 1, 2, ..., K;

[0017] During the current communication cycle, for each No.n wireless subchannel (n = 1, ..., N), the subchannel signal-to-noise ratio S, which characterizes the channel transmission state, is collected. n .

[0018] Step S2, which involves calculating and obtaining the semantic common information of power business data, specifically includes the following steps:

[0019] Identifier No.k data x k The corresponding D-dimensional semantic feature vector (D takes values ​​in the range of positive integers), where Identification data x k The semantic features of No.d (d = 1, 2, ..., D);

[0020] The semantic feature matrix corresponding to the data set X collected by the power wireless communication terminal is calculated using a semantic feature extraction model. Where Y is a K×D vector matrix;

[0021] According to the formula Calculate the semantic common information segmentation threshold θ according to the formula. Calculate the mean u of each No.d column vector of the semantic feature matrix Y. d ;

[0022] For each No.d column of the semantic feature matrix Y, if u d If the values ​​are greater than or equal to θ, then the semantic features corresponding to the No.d column are divided into semantic personality information columns. All semantic personality information columns form a semantic personality information submatrix. Where subP is a K×P vector matrix;

[0023] For each No.d column of the semantic feature matrix Y, if u d If the value is less than θ, then the semantic features corresponding to the No.d column are divided into semantic common information columns, and all semantic common information columns form a semantic common information sub-matrix. Where subS is a K×C vector matrix;

[0024] According to the formula Calculate the mean u of each No.c column vector of the semantic feature matrix subS. cBased on the principle of semantic modularity, subS is approximated as: Then the semantic common information data corresponding to subS for wireless channel transmission is SubSData = [u 1 ,...,u c ,...,u C ];

[0025] Step S3, which involves transmitting semantic personalized information data of the power communication terminal using an independent sub-channel, specifically includes the following steps:

[0026] P sub-channels are allocated according to the semantic individual information of power service data transmitted using modular data division;

[0027] For each No.p subchannel, the data in each No.p column of the semantic personality information submatrix subP is used as the transmitted data, and an adaptive data compression method is used to compress the data volume of the No.p column to the communication capacity E of the No.p subchannel. p =B p ·log2(1+S p Within the range, it is then assigned to each No.p subchannel and transmitted to the receiving end.

[0028] Step S4, which involves using dynamic sub-channel aggregation to transmit semantic common information data of power communication terminals, specifically includes the following steps:

[0029] The amount of transmitted semantic common information data SubSData is W. The sub-channel aggregation matching degree function is calculated according to the formula. Where β is the total number of dynamically aggregated sub-channels;

[0030] Using the maximization of the sub-channel aggregation matching degree function Q(β) as the optimization objective function, an intelligent optimization method is employed to optimally select β among N sub-channels in power radio. opt Sub-channels;

[0031] Using the above selection β opt Each sub-channel transmits semantic common information data, SubSData, to the receiving end. Step S5, which involves the receiving end reconstructing and restoring the power communication terminal data, specifically includes the following steps:

[0032] The receiving end receives semantic individual information data and semantic common information data of the power communication terminal, and realizes the reconstruction and recovery of power communication terminal data through semantic feature reconstruction operation.

[0033] This invention also provides a system for implementing the semantic modal division data transmission method of a power wireless communication terminal for the aggregation of the aforementioned common information sub-channels. The system includes a data and channel status acquisition module, a data semantic feature extraction module, a semantic common-individual feature differentiation module, a dynamic channel aggregation common-individual information channel matching module, and a signal transmission and reconstruction module. These modules are connected in series. The data and channel status acquisition module is used to acquire power service transmission data and communication channel status at the power wireless communication source end, and uploads the power service data information to the data semantic feature extraction module. The data semantic feature extraction module is used to extract the semantic features of the received power service data and to convert the semantic feature information into a data semantic feature. The received semantic features are uploaded to the semantic common and individual feature differentiation module. This module divides the received semantic features into common and individual features and uploads them to the dynamic channel aggregation and common / individual information channel matching module. Based on the received semantic common and individual feature information, the dynamic channel aggregation and common / individual information channel matching module dynamically aggregates common channels, matching common channels with appropriate aggregation bandwidth for each common feature. Each individual feature is matched with a separately pre-divided channel. The semantic common and individual features are then uploaded to the signal transmission and reconstruction module. Based on the transmitted information, the signal transmission and reconstruction module sends the individual and common feature information to the matching channels for transmission. At the receiving end, the power service data is reconstructed based on the common and individual information, thus completing the semantic modular data transmission of the power wireless communication terminal through channel aggregation.

[0034] The present invention provides a method and system for semantic modular data transmission of power wireless communication terminals by aggregating sub-channels for common information. This method collects power wireless communication service data and network channel status, calculates and obtains semantic common information of the power service data, transmits the semantic individual information data of the power communication terminal using independent sub-channels, and transmits the semantic common information data of the power communication terminal using dynamic sub-channel aggregation. The receiving end reconstructs and restores the power communication terminal data. This method not only realizes semantic modular data transmission of power wireless communication terminals by aggregating common information sub-channels, but also achieves higher overall transmission efficiency. Attached Figure Description

[0035] Figure 1 is a schematic diagram of the method flow of the present invention.

[0036] Figure 2 is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0037] Figure 1 shows a flowchart of the method of the present invention: The semantic modulus data transmission method and system for power wireless communication terminals with common information sub-channel aggregation disclosed in this invention includes the following steps:

[0038] S1. Power wireless communication service data and network channel status, specifically including the following steps:

[0039] Suppose a power wireless communication terminal needs to collect and transmit K (K ranges from 10 to 100) identical service data at equal intervals in each communication cycle. The terminal is supported by N power wireless sub-channels (N is a positive integer), and each No.n wireless sub-channel (n = 1, ..., N) has a communication capacity of B. n ;

[0040] In the current communication cycle, the service data collected by the power wireless communication terminal constitutes a data set X = {x1,...,x} k ,...,x K}, where x k Data No.k collected in each communication cycle, k = 1, 2, ..., K;

[0041] During the current communication cycle, for each No.n wireless subchannel (n = 1, ..., N), the subchannel signal-to-noise ratio S, which characterizes the channel transmission state, is collected. n .

[0042] S2. Calculate and acquire semantic common information of power business data, specifically including the following steps:

[0043] Identifier No.k data x k The corresponding D-dimensional semantic feature vector (D takes values ​​in the range of positive integers), where Identification data x k The semantic features of No.d (d = 1, 2, ..., D);

[0044] The semantic feature matrix corresponding to the data set X collected by the power wireless communication terminal is calculated using a semantic feature extraction model (using a Transformer encoder in this example). Where Y is a K×D vector matrix;

[0045] According to the formula Calculate the semantic common information segmentation threshold θ according to the formula. Calculate the mean u of each No.d column vector of the semantic feature matrix Y. d ;

[0046] For each No.d column of the semantic feature matrix Y, if u d If the values ​​are greater than or equal to θ, then the semantic features corresponding to the No.d column are divided into semantic personality information columns. All semantic personality information columns form a semantic personality information submatrix. Where subP is a K×P vector matrix;

[0047] For each No.d column of the semantic feature matrix Y, if u d If the value is less than θ, then the semantic features corresponding to the No.d column are divided into semantic common information columns, and all semantic common information columns form a semantic common information sub-matrix. Where subS is a K×C vector matrix;

[0048] According to the formula Calculate the mean u of each No.c column vector of the semantic feature matrix subS. c Based on the principle of semantic modularity, subS is approximated as: Then the semantic common information data corresponding to subS for wireless channel transmission is SubSData = [u 1 ,...,u c ,...,u C ];

[0049] S3. Transmit semantic personalized information data of the power communication terminal using an independent sub-channel, specifically including the following steps:

[0050] P sub-channels are allocated according to the semantic individual information of power service data transmitted using modular data division;

[0051] For each No.p subchannel, the data in each No.p column of the semantic personality information submatrix subP is used as the transmitted data, and an adaptive data compression method is used to compress the data volume of the No.p column to the communication capacity E of the No.p subchannel. p =B p ·log2(1+S p Within the range, it is then assigned to each No.p subchannel and transmitted to the receiving end.

[0052] S4. Employing dynamic sub-channel aggregation to transmit semantic common information data of power communication terminals, specifically including the following steps:

[0053] The amount of transmitted semantic common information data SubSData is W. The sub-channel aggregation matching degree function is calculated according to the formula. Where β is the total number of dynamically aggregated sub-channels;

[0054] Using the maximization of the sub-channel aggregation matching degree function Q(β) as the optimization objective function, an intelligent optimization method (the genetic algorithm is used in this example) is employed to optimally select β among the N sub-channels of power radio. opt Sub-channels;

[0055] Using the above selection β opt Each sub-channel transmits semantic common information data, SubSData, to the receiving end.

[0056] S5. The receiving end reconstructs and restores the power communication terminal data, specifically including the following steps:

[0057] The receiving end receives semantic individual information data and semantic common information data of the power communication terminal, and realizes the reconstruction and recovery of power communication terminal data through semantic feature reconstruction operation.

[0058] The semantic modular data transmission method for power wireless communication terminals using common information sub-channel aggregation provided by this invention collects power wireless communication service data and network channel status, calculates and obtains the semantic common information of power service data, transmits the semantic individual information data of power communication terminals using independent sub-channels, and transmits the semantic common information data of power communication terminals using dynamic sub-channel aggregation. The receiving end reconstructs and restores the power communication terminal data. This method not only realizes the semantic modular data transmission of power wireless communication terminals using common information sub-channel aggregation, but also has higher overall transmission efficiency.

[0059] Figure 2 shows a schematic diagram of the functional modules of the system of the present invention: The system disclosed in this invention, which implements the semantic modular data transmission method of the power wireless communication terminal for the aggregation of common information sub-channels, includes a data and channel status acquisition module, a data semantic feature extraction module, a semantic common feature differentiation module, a dynamic channel aggregation common information channel matching module, and a signal transmission and reconstruction module; the data and channel status acquisition module, the data semantic feature extraction module, the semantic common feature differentiation module, the dynamic channel aggregation common information channel matching module, and the signal transmission and reconstruction module are connected in series; the data and channel status acquisition module is used to acquire the power service transmission data and communication channel status at the power wireless communication source end, and upload the power service data information to the data semantic feature extraction module; the data semantic feature extraction module is used to extract the semantic features of the received power service data. The system first identifies and uploads the semantic features to the semantic common and individual feature differentiation module. This module then divides the received semantic features into common and individual features and uploads them to the dynamic channel aggregation and common / individual information channel matching module. Based on the received semantic common and individual feature information, the dynamic channel aggregation and common / individual information channel matching module dynamically aggregates common channels, matching each common feature with a suitable aggregation bandwidth. Each individual feature is matched with a separately pre-divided channel. The system then uploads the semantic common and individual features to the signal transmission and reconstruction module. Based on the transmitted information, the signal transmission and reconstruction module sends the individual and common feature information to the matching channels for transmission. At the receiving end, it reconstructs the power service data based on the common and individual information, thus completing the semantic modular data transmission of the power wireless communication terminal through channel aggregation.

[0060] This application is described with reference to flowchart illustrations and / or block diagrams of methods and apparatus (systems) according to embodiments of this application. Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0061] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for semantic modular data transmission of power wireless communication terminals using common information sub-channel aggregation, comprising the following steps: S1. Collecting power wireless communication service data and network channel status; S2. Calculating and obtaining semantic common information of power service data; S3. Transmitting semantic common information data of power communication terminals using independent sub-channels; S4. Transmitting semantic common information data of power communication terminals using dynamic sub-channel aggregation; S5. Reconstructing and restoring power communication terminal data at the receiving end.

2. The semantic modular data transmission method for power wireless communication terminals based on common information sub-channel aggregation according to claim 1, characterized in that... Step S1, which involves collecting power wireless communication service data and network channel status, specifically includes the following steps: Assume a power wireless communication terminal needs to collect and transmit K (K ranges from 10 to 100) identical service data at equal intervals within each communication cycle. The number of power wireless sub-channels supporting this communication terminal is N (N ranges from a positive integer), and the communication capacity of each No.n wireless sub-channel (n = 1, ..., N) is B. n In the current communication cycle, the service data collected by the power wireless communication terminal constitutes a data set X = {x1,...,x}. k ,...,x K }, where x k Data No.k is collected in each communication cycle, k = 1, 2, ..., K; in the current communication cycle, for each No.n wireless subchannel (n = 1, ..., N), the subchannel signal-to-noise ratio S, which characterizes the channel transmission state, is collected. n .

3. The semantic modular data transmission method for power wireless communication terminals based on common information sub-channel aggregation according to claim 1, characterized in that... Step S2, which involves calculating and obtaining semantic common-individual information of power business data, specifically includes the following steps: identifying No.k data x k The corresponding D-dimensional semantic feature vector (D takes values ​​in the range of positive integers), where Identification data x k The semantic features of No.d (d = 1, 2, ..., D) are obtained; the semantic feature matrix corresponding to the data set X collected by the power wireless communication terminal is calculated by the semantic feature extraction model. Where Y is a K×D vector matrix; according to the formula Calculate the semantic common information segmentation threshold θ according to the formula. Calculate the mean u of each No.d column vector of the semantic feature matrix Y. d For each No.d column of the semantic feature matrix Y, if u d If the values ​​are greater than or equal to θ, then the semantic features corresponding to the No.d column are divided into semantic personality information columns. All semantic personality information columns form a semantic personality information submatrix. Where subP is a K×P vector matrix; for each No.d column of the semantic feature matrix Y, if u d If the value is less than θ, then the semantic features corresponding to the No.d column are divided into semantic common information columns, and all semantic common information columns form a semantic common information sub-matrix. Where subS is a K×C vector matrix; according to the formula Calculate the mean u of each No.c column vector of the semantic feature matrix subS. c Based on the principle of semantic modularity, subS is approximated as: Then the semantic common information data corresponding to subS for wireless channel transmission is SubSData = [u 1 ,...,u c ,...,u C ].

4. The semantic modular data transmission method for power wireless communication terminals based on common information sub-channel aggregation according to claim 1, characterized in that... Step S3, which involves transmitting the semantic personalized information data of the power communication terminal using independent sub-channels, specifically includes the following steps: allocating P sub-channels according to the number P of semantic personalized information of power service data transmitted using modular division multiplexing (MDM); For each No.p subchannel, the data in each No.p column of the semantic personality information submatrix subP is used as the transmitted data, and an adaptive data compression method is used to compress the data volume of the No.p column to the communication capacity E of the No.p subchannel. p =B p ·log2(1+S p Within the range, it is then assigned to each No.p subchannel and transmitted to the receiving end.

5. The semantic modulus-based data transmission method for power wireless communication terminals based on common information sub-channel aggregation according to claim 1, characterized in that... Step S4, which involves transmitting semantic common information data of a power communication terminal using dynamic sub-channel aggregation, specifically includes the following steps: identifying the transmission data volume of semantic common information data SubSData as W, and calculating the sub-channel aggregation matching degree function according to the formula. Where β represents the total number of dynamically aggregated sub-channels; taking the maximization of the sub-channel aggregation matching degree function Q(β) as the optimization objective function, an intelligent optimization method is adopted to optimally select β among the N sub-channels of power radio. opt Sub-channels; using the above selection β opt Each sub-channel transmits semantic common information data, SubSData, to the receiving end.

6. The semantic modulus-based data transmission method for power wireless communication terminals based on common information sub-channel aggregation according to claim 1, characterized in that... The receiving end reconstruction and recovery of power communication terminal data in step S5 specifically includes the following steps: receiving semantic individual information data and semantic common information data of the power communication terminal at the receiving end, and realizing the reconstruction and recovery of power communication terminal data through semantic feature reconstruction operation.

7. A system for implementing the semantic modular data transmission method for power wireless communication terminals with common information sub-channel aggregation as described in any one of claims 1 to 6, comprising a data and channel status acquisition module, a data semantic feature extraction module, a semantic common-individual feature differentiation module, a dynamic channel aggregation common-individual information channel matching module, and a signal transmission and reconstruction module; the data and channel status acquisition module, the data semantic feature extraction module, the semantic common-individual feature differentiation module, the dynamic channel aggregation common-individual information channel matching module, and the signal transmission and reconstruction module are connected in series; the data and channel status acquisition module is used to acquire power service transmission data and communication channel status at the power wireless communication source end, and upload the power service data information to the data semantic feature extraction module; The data semantic feature extraction module is used to extract the semantic features of the received power business data and upload the semantic feature information to the semantic common feature differentiation module; The semantic common and individual feature differentiation module divides the received semantic features into common features and individual features, and uploads them to the dynamic channel aggregation and common / individual information channel matching module. Based on the received semantic common and individual feature information, the dynamic channel aggregation and common / individual information channel matching module dynamically aggregates common channels, matching common channels with appropriate aggregation bandwidth for each common feature information. Each individual feature information is matched with a separately pre-divided channel. The semantic common features and individual features are then uploaded to the signal transmission and reconstruction module. Based on the transmitted information, the signal transmission and reconstruction module sends the individual feature information and common feature information to the matching channels for transmission. At the receiving end, the module reconstructs the power service data based on the common and individual information, thus completing the semantic modular data transmission of the power wireless communication terminal through channel aggregation.

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