Semantic feature commonality- individuality multiplexing transmission method, system and storage medium for power wireless communication

Abstract

The application discloses a semantic feature commonality-personality multiplex transmission method for power wireless communication, which comprises the following steps: acquiring parameter information of a target power wireless communication network; acquiring power service data of a sending end in real time during communication and extracting a data semantic feature set; extracting semantic commonality features and semantic personality features based on clustering operation; performing multiplex transmission of power wireless communication; and recovering power service data after a receiving end receives data information, so as to complete the semantic feature commonality-personality multiplex transmission for power wireless communication. The application further discloses a system for implementing the semantic feature commonality-personality multiplex transmission method for power wireless communication, and a storage medium comprising the semantic feature commonality-personality multiplex transmission method for power wireless communication. The application not only realizes the semantic feature commonality-personality multiplex transmission for power wireless communication, but also has higher reliability, better accuracy and higher overall efficiency.

Description

Technical Field

[0001] This invention belongs to the field of power communication, specifically relating to a semantic feature common-individual multiplexing transmission method, system, and storage medium for power wireless communication. Background Technology

[0002] With economic and technological development and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and daily life, bringing endless convenience. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Currently, with the rapid development of power systems, an increasing number of power terminals are connecting to dedicated power wireless communication networks and transmitting data. Therefore, ensuring the stability and accuracy of power wireless communication has become a crucial task for power systems.

[0004] Currently, traditional power wireless communication solutions, in order to ensure the stability and accuracy of power wireless communication, often reduce the bit error rate by improving signal quality and increasing bandwidth. However, due to the massive number of power terminals connected, power wireless communication networks are already experiencing bandwidth limitations; traditional communication technologies consume too much redundant information and are approaching the Shannon limit, making it impossible to guarantee the safe and stable operation of power grid business data. Significantly increasing communication bandwidth, on the other hand, is both costly and time-consuming. Summary of the Invention

[0005] One of the objectives of this invention is to provide a highly reliable, accurate, and efficient semantic feature common-individual multiplexing transmission method for power wireless communication.

[0006] A second objective of this invention is to provide a system for implementing the semantic feature common-individual multiplexing transmission method for power wireless communication.

[0007] A third objective of this invention is to provide a storage medium on which a computer program is stored; when the computer program is executed by a processor, it implements the semantic feature common-individual multiplexing transmission method for power wireless communication.

[0008] The semantic feature commonality-individuality multiplexing transmission method for power wireless communication provided by this invention includes the following steps:

[0009] S1. Obtain parameter information of the target power wireless communication network;

[0010] S2. During the communication process, the power service data of the sending end is acquired in real time, and the set of data semantic features is extracted.

[0011] S3. Based on the set of semantic features of the data obtained in step S2, extract common semantic features and unique semantic features based on clustering operations;

[0012] S4. Based on the semantic common features and semantic individual features obtained in step S3, perform multiplexing transmission of power wireless communication;

[0013] S5. After receiving the data information, the receiving end restores the power business data to complete the semantic feature common-individual multiplexing transmission for power wireless communication.

[0014] In the communication process described in step S2, the power service data from the sending end is acquired in real time, and a set of data semantic features is extracted. Specifically, this includes the following steps:

[0015] Let the sending communication node be at time i, the total number of power service data D in the area to be sent be N, and the set of original data features to be sent be... in This represents the Nth set of power business data D within the region. For set The nth original data in For set The m-th original data in the data, For set The k-th original data in;

[0016] After semantic feature extraction, a set of data semantic features with a feature dimension of L is obtained. Where j is the set number of the data semantic features, and j = 1, 2, ..., N.

[0017] Step S3, based on the data semantic feature set obtained in step S2, extracts semantic common features and semantic individual features using clustering operations. Specifically, this includes the following steps:

[0018] The set of semantic features of the data obtained in step S2 Clustering is performed on each data point in the dataset;

[0019] Let c be the number of sets in any cluster after clustering, and let the set of cluster centers be... l is the set number, and l = 1, 2, ..., c;

[0020] For this cluster, the cluster center is taken as the common feature of the cluster set. Common features were calculated for

[0021] Calculate each data point and its common features residual for residual As unique characteristics of each data point.

[0022] Step S3 further includes the following steps:

[0023] Set the update threshold θ;

[0024] For the semantic feature set of power data at the next time point i+1, recalculate the individual features of each data point.

[0025] Make a judgment:

[0026] like Then maintain common characteristics constant;

[0027] like Then perform the clustering operation again and update the common features.

[0028] Step S4, which describes the multiplexing and transmission of power wireless communication based on the semantic common features and semantic individual features obtained in step S3, specifically includes the following steps:

[0029] Let the number of clusters in step S3 be q;

[0030] The available spectrum of the target power wireless communication network is divided into bandwidths of B. q There are q individual transmission modules and 1 common transmission module;

[0031] Targeting common features Transmission is performed using a common transmission module;

[0032] Targeting individual characteristics Calculate the coefficient of variation (CV) l i for Individual characteristics The average value; in the personalized transmission module, bandwidth is allocated. Used to transmit individual characteristics Among them, bandwidth The calculation formula is

[0033] After receiving the data information, the receiving end in step S5 restores the power service data, specifically including the following steps:

[0034] Common characteristics of multiplexed transmission received by the receiving end and personality traits Then, the set of semantic features of the received data is calculated as follows: And power business data is recovered through semantic decoding.

[0035] This invention also provides a system for implementing the semantic feature common-individual multiplexing transmission method for power wireless communication, comprising a parameter acquisition module, a data acquisition module, a semantic extraction module, a data transmission module, and a multiplexing transmission module; the parameter acquisition module, data acquisition module, semantic extraction module, data transmission module, and multiplexing transmission module are connected in series; the parameter acquisition module is used to acquire parameter information of the target power wireless communication network and upload the data information to the data acquisition module; the data acquisition module is used to acquire power business data from the sending end in real time during communication based on the received data information, extract a set of data semantic features, and upload the data information to the semantic extraction module; the semantic extraction module is used to extract semantic common features and semantic individual features based on the received data information and the obtained set of data semantic features, using clustering operations, and upload the data information to the data transmission module; the data transmission module is used to perform multiplexing transmission of power wireless communication based on the received data information and the obtained semantic common features and semantic individual features, and upload the data information to the multiplexing transmission module; the multiplexing transmission module is used to recover power business data after the receiving end receives the data information, thereby completing the semantic feature common-individual multiplexing transmission for power wireless communication.

[0036] The present invention also provides a storage medium on which a computer program is stored; when the computer program is executed by a processor, it implements the semantic feature common-individual multiplexing transmission method for power wireless communication.

[0037] The semantic feature common-personality multiplexing transmission method, system and storage medium provided by this invention for power wireless communication, by acquiring parameters of the power wireless communication network and extracting, multiplexing and transmitting semantic common features and semantic personal features of power business data in real time, and allocating bandwidth, not only realizes semantic feature common-personality multiplexing transmission for power wireless communication, but also has higher reliability, better accuracy and higher overall efficiency. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0039] Figure 2 This is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0040] like Figure 1 The diagram shown is a flowchart of the method of the present invention: The semantic feature commonality-individuality multiplexing transmission method for power wireless communication disclosed in this invention includes the following steps:

[0041] S1. Obtain parameter information of the target power wireless communication network;

[0042] S2. During the communication process, real-time acquisition of power service data from the sending end is performed, and a set of semantic features of the data is extracted; specifically, the following steps are included:

[0043] Let the sending communication node be at time i, the total number of power service data D in the area to be sent be N, and the set of original data features to be sent be... in This represents the Nth set of power business data D within the region. For set The nth original data in For set The m-th original data in the data, For set The k-th original data in;

[0044] After semantic feature extraction, a set of data semantic features with a feature dimension of L is obtained. Where j is the set number of the data semantic features, and j = 1, 2, ..., N;

[0045] S3. Based on the set of semantic features obtained in step S2, extract common semantic features and unique semantic features using clustering operations; specifically including the following steps:

[0046] The set of semantic features of the data obtained in step S2 Clustering is performed on each data point in the dataset;

[0047] Let c be the number of sets in any cluster after clustering, and let the set of cluster centers be... l is the set number, and l = 1, 2, ..., c;

[0048] For this cluster, the cluster center is taken as the common feature of the cluster set. Common features were calculated for

[0049] Calculate each data point and its common features residual for residual As unique characteristics of each data point;

[0050] In addition, this step also includes the following:

[0051] Set the update threshold θ;

[0052] For the semantic feature set of power data at the next time point i+1, recalculate the individual features of each data point. for

[0053] Make a judgment:

[0054] like Then maintain common characteristics constant;

[0055] like Then perform the clustering operation again and update the common features.

[0056] By updating the above common features in real time, subsequent real-time bandwidth allocation and adjustment can be performed, thereby improving the reliability and accuracy of the present invention.

[0057] S4. Based on the semantic common features and semantic individual features obtained in step S3, perform multiplexing transmission for power wireless communication; specifically including the following steps:

[0058] Let the number of clusters in step S3 be q;

[0059] The available spectrum of the target power wireless communication network is divided into bandwidths of B. q There are q individual transmission modules and 1 common transmission module;

[0060] Targeting common features Transmission is performed using a common transmission module;

[0061] Targeting individual characteristics Calculate the coefficient of variation (CV) l i for Individual characteristics The average value; in the personalized transmission module, bandwidth is allocated. Used to transmit individual characteristics Among them, bandwidth The calculation formula is

[0062] S5. After receiving the data information, the receiving end recovers the power service data to complete the semantic feature common-individual multiplexing transmission for power wireless communication; specifically, it includes the following steps:

[0063] Common characteristics of multiplexed transmission received by the receiving end and personality traits Then, the set of semantic features of the received data is calculated as follows: And power business data is recovered through semantic decoding.

[0064] Based on full consideration of traditional power wireless communication technology, this invention obtains semantic feature parameter information of power business data at the transmitting end, extracts semantic commonality and individuality based on cluster center residuals, and reuses commonality and individuality information based on the coefficient of variation to restore the characteristics of power business data at the receiving end. This effectively solves the problem of redundant transmission of similar content, reduces data transmission volume, and ensures the safe and stable operation of power grid business data.

[0065] like Figure 2 The diagram shows the functional modules of the system of this invention: The system disclosed in this invention, which implements the semantic feature common-individual multiplexing transmission method for power wireless communication, includes a parameter acquisition module, a data acquisition module, a semantic extraction module, a data transmission module, and a multiplexing transmission module; these modules are connected in series. The parameter acquisition module acquires parameter information of the target power wireless communication network and uploads the data information to the data acquisition module. The data acquisition module, based on the received data information, acquires the power business data of the sending end in real time during communication, extracts a set of data semantic features, and uploads the data information to the semantic extraction module. The semantic extraction module, based on the received data information and the obtained set of data semantic features, extracts semantic common features and semantic individual features based on clustering operations, and uploads the data information to the data transmission module. The data transmission module, based on the received data information and the obtained semantic common and semantic individual features, performs multiplexing transmission of power wireless communication and uploads the data information to the multiplexing transmission module. The multiplexing transmission module, based on the received data information, restores the power business data after the receiving end receives the data information, thereby completing the semantic feature common-individual multiplexing transmission for power wireless communication.

[0066] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0067] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0068] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0069] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0070] 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.

[0071] 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 semantic feature commonality-individuality multiplexing transmission method for power wireless communication, comprising the following steps: S1. Obtain parameter information of the target power wireless communication network; S2. During the communication process, the power service data from the sending end is acquired in real time, and a set of semantic features of the data is extracted; specifically, the following steps are included: Configure the sending communication node at a specific time point. Electricity service data within the region that needs to be sent The total number of sets is The set of original data features that needs to be sent is ,in Represents regional power business data The A set, For set The nth original data in For set The m-th original data in the data, For set The k-th original data in; After semantic feature extraction, the feature dimensions are all Data semantic feature set ,in Number the set of semantic features of the data, and ; S3. Based on the set of semantic features obtained in step S2, extract common semantic features and unique semantic features using clustering operations; specifically including the following steps: The set of semantic features of the data obtained in step S2 Clustering is performed on each piece of data in the dataset; Set the number of sets in any cluster after clustering to be The set of cluster centers is , For set number, and ; For this cluster, the cluster center is taken as the common feature of the cluster set. ; Calculate the common features for ; Calculate each data point and its common features residual for ; the residual As unique characteristics of each data point; S4. Based on the semantic common features and semantic individual features obtained in step S3, perform multiplexing transmission for power wireless communication; specifically including the following steps: The number of clusters in step S3 is set to ; The available spectrum of the target power wireless communication network is divided into bandwidths of... of One individual transmission module and one common transmission module; Targeting common features It uses a common transmission module for transmission; Targeting individual characteristics Calculate the coefficient of variation for , Individual characteristics The average value; in the personalized transmission module, bandwidth is allocated. Used to transmit individual characteristics ,in, bandwidth The calculation formula is ; S5. After receiving the data information, the receiving end restores the power business data to complete the semantic feature common-individual multiplexing transmission for power wireless communication.

2. The semantic feature commonality-individuality multiplexing transmission method for power wireless communication according to claim 1, characterized in that... Step S3 further includes the following steps: Set update threshold ; For the next time point The semantic feature set of power data is used to recalculate the individual features of each data point. for ; Make a judgment: like Then the common characteristics are maintained. constant; like If so, the clustering operation is performed again, and the common features are updated. .

3. The semantic feature commonality-individuality multiplexing transmission method for power wireless communication according to claim 2, characterized in that... After receiving the data information, the receiving end in step S5 restores the power service data, specifically including the following steps: Common characteristics of multiplexed transmission received by the receiving end and personality traits Then, the set of semantic features of the received data is calculated as follows: And restore power business data through semantic decoding.

4. A system for implementing the semantic feature commonality-individuality multiplexing transmission method for power wireless communication as described in any one of claims 1 to 3, characterized in that... It includes a parameter acquisition module, a data acquisition module, a semantic extraction module, a data transmission module, and a multiplexing transmission module; these modules are connected in series. The parameter acquisition module acquires parameter information of the target power wireless communication network and uploads the data information to the data acquisition module. The data acquisition module acquires power business data from the transmitting end in real time during communication based on the received data information, extracts a set of semantic features, and uploads the data information to the semantic extraction module. The semantic extraction module extracts common semantic features and unique semantic features based on the received data information and the obtained set of semantic features, using clustering operations, and uploads the data information to the data transmission module. The data transmission module is used to perform multiplexing and transmission of power wireless communication based on the received data information and the obtained semantic common features and semantic individual features, and to upload the data information to the multiplexing and transmission module. The multiplexing transmission module is used to recover power business data based on the received data information. After receiving the data information, the receiving end performs the recovery of the data to complete the semantic feature common-individual multiplexing transmission for power wireless communication.

5. A storage medium storing a computer program thereon; when the computer program is executed by a processor, it implements the semantic feature common-individual multiplexing transmission method for power wireless communication as described in any one of claims 1 to 3.

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