Power transmission line intelligent communication and networking processing method and system, and medium

通过生成异构融合网络模型和拓扑逻辑模型,获取通信组网设备的物理和逻辑信息,计算性能和逻辑顺畅指数,解决了现有技术中异构融合通信组网效率低下和准确性不足的问题 , realizes efficient communication networking and predictive maintenance.

CN119484306APending Publication Date: 2025-02-18SHENZHEN EN-JOY TECH CO LTD

Patent Information

Application Number
CN202510046419.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-13
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

When conducting heterogeneous fusion communication networking, the prior art has low efficiency and insufficient accuracy, which cannot meet the needs of large-scale communication networking, and lacks technical methods for automated and rapid networking and communication quality verification.

Method used

通过获取通信组网设备的物理参数信息和组网逻辑信息,生成异构融合网络孪生模型和拓扑逻辑模型,关联处理以获得通信网络拓扑图,提取性能信息和逻辑关系信息,计算设备性能指数和逻辑顺畅指数,结合故障记录数据评估通信质量。

Benefits of technology

A comprehensive and accurate network view is built, which can promptly detect potential problems and perform predictive maintenance, improves the practicality and accuracy of the model, and solves the accuracy of multi-source heterogeneous data in digital twin modeling.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a power transmission line intelligent communication and networking processing method and system and a medium, and belongs to the technical field of information communication and big data. The method comprises the following steps: acquiring physical parameter information of communication networking equipment and generating a heterogeneous fusion network twinborn model; obtaining networking logic information of communication networking equipment and generating a heterogeneous fusion network topology logic model; and performing association processing to obtain a communication network topological graph and extract communication equipment performance information and communication logic relation information. Through respective processing, a communication equipment performance index and a communication logic smoothness index can be obtained, communication fault record data processing is combined, a communication quality index is obtained, and whether the communication quality meets requirements is judged. According to the invention, a comprehensive and accurate network view is constructed, the physical characteristics of the equipment are reflected, and the connection and interaction modes between the equipment are covered, so that operation and maintenance personnel can find potential problems in time and carry out predictive maintenance.
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Description

Technical Field

[0001] The present application relates to the field of information communication and big data technology, and more specifically, to a method, system and medium for intelligent communication and networking processing of power transmission lines. Background Art

[0002] With the continuous growth of electricity demand and the continuous expansion of power grids, higher requirements are placed on the communication and networking capabilities of transmission lines. With the gradual application of Internet of Things technology in the power field, heterogeneous converged networking is becoming more and more common. At present, when performing heterogeneous converged communication networking, communication networking is generally completed by manual settings, which is inefficient and inaccurate, and cannot meet the needs of large-scale communication networking. There is a lack of a technical method for rapid and automated networking that can be automatically completed by the system and verify the communication quality.

[0003] In view of the above problems, effective technical solutions are currently awaited. Summary of the invention

[0004] The purpose of this application is to provide a method, system and medium for intelligent communication and networking processing of transmission lines, which can obtain the physical parameter information of communication networking equipment and generate a heterogeneous fusion network twin model; obtain the networking logic information of communication networking equipment and generate a heterogeneous fusion network topology logic model; and then associate and process to obtain the communication network topology map and extract the communication equipment performance information and communication logic relationship information. The communication equipment performance index and the communication logic smoothness index can be obtained by separate processing, and then combined with the communication fault record data processing to obtain the communication quality index and determine whether the communication quality meets the requirements. The present application constructs a comprehensive and accurate network view that not only reflects the physical characteristics of the equipment, but also covers the connection and interaction methods between the equipment, so that operation and maintenance personnel can promptly discover potential problems and perform predictive maintenance.

[0005] The present application provides a method for intelligent communication and networking of power transmission lines, comprising the following steps: Obtain physical parameter information of communication networking devices of multiple configurations within a preset time period and generate a heterogeneous fusion network twin model; Acquire the networking logic information of multiple configurations of communication networking devices within a preset time period and generate a heterogeneous fusion network topology logic model; According to the heterogeneous fusion network twin model and the heterogeneous fusion network topology logic model, association processing is performed to obtain a communication network topology diagram of the communication networking device and extract communication device performance information and communication logic relationship information; Processing the communication equipment performance information through a preset communication performance model to obtain a communication equipment performance index; Processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; The communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data and processed through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

[0006] Among them, in a transmission line intelligent communication and networking processing method described in this application, the generation of a heterogeneous fusion network twin model is specifically: Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; The communication networking equipment physical parameter information includes networking equipment type information, equipment working environment information, equipment maintenance record information, hardware basic parameter information and communication protocol information; A heterogeneous fusion network twin model is generated based on the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

[0007] Among them, in the intelligent communication and networking processing method for power transmission lines described in the present application, the generating of the heterogeneous fusion network topology logic model is specifically: Obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; The networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; A heterogeneous fusion network topology logic model is generated according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

[0008] Among them, in the method for intelligent communication and networking of power transmission lines described in the present application, the obtaining of the communication equipment performance index is specifically: Extracting throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data according to the communication device performance information; The throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data are processed through a preset communication performance model to obtain a communication equipment performance index.

[0009] Among them, in the method for intelligent communication and networking of power transmission lines described in the present application, the communication logic smoothness index is obtained as follows: Extracting communication protocol compliance data, signal transmission error rate data and data processing efficiency data according to the communication logic relationship information; The communication protocol compliance data, signal transmission error rate data and data processing efficiency data are processed through a preset logic diagnosis model to obtain a communication logic smoothness index.

[0010] Among them, in the method for intelligent communication and networking of power transmission lines described in the present application, the determination of whether the communication quality meets the requirements is specifically as follows: According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, a communication quality index is obtained by processing through a preset communication quality evaluation model; Comparing the communication quality index with a preset quality index to obtain a quality index deviation rate; comparing the quality index deviation rate with a preset quality index deviation rate threshold; If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, a communication abnormality message is sent; If the quality index deviation rate is less than the quality index deviation rate threshold, a communication normal message is sent.

[0011] In a second aspect, the present application provides a transmission line intelligent communication and networking processing system, the system comprising: a memory and a processor, the memory comprising a program of a transmission line intelligent communication and networking processing method, the program of the transmission line intelligent communication and networking processing method being executed by the processor to implement the following steps: Obtain physical parameter information of communication networking devices of multiple configurations within a preset time period and generate a heterogeneous fusion network twin model; Acquire the networking logic information of multiple configurations of communication networking devices within a preset time period and generate a heterogeneous fusion network topology logic model; According to the heterogeneous fusion network twin model and the heterogeneous fusion network topology logic model, association processing is performed to obtain a communication network topology diagram of the communication networking device and extract communication device performance information and communication logic relationship information; Processing the communication equipment performance information through a preset communication performance model to obtain a communication equipment performance index; Processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; The communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data and processed through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

[0012] Among them, in the power transmission line intelligent communication and networking processing system described in the present application, the generation of the heterogeneous fusion network twin model is specifically: Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; The communication networking equipment physical parameter information includes networking equipment type information, equipment working environment information, equipment maintenance record information, hardware basic parameter information and communication protocol information; A heterogeneous fusion network twin model is generated based on the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

[0013] Among them, in the power transmission line intelligent communication and networking processing system described in the present application, the generation of the heterogeneous fusion network topology logic model is specifically: Obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; The networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; A heterogeneous fusion network topology logic model is generated according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which includes a program for a method for intelligent communication and networking processing of transmission lines. When the program for the method for intelligent communication and networking processing of transmission lines is executed by a processor, the steps of the method for intelligent communication and networking processing of transmission lines as described in any one of the above items are implemented.

[0015] As can be seen from the above, the embodiment of the present application provides a method, system and medium for intelligent communication and networking processing of power transmission lines, by obtaining the physical parameter information of the communication networking equipment and generating a heterogeneous fusion network twin model; obtaining the networking logic information of the communication networking equipment and generating a heterogeneous fusion network topology logic model; and then performing association processing to obtain the communication network topology diagram of the communication networking equipment and extract the communication equipment performance information and communication logic relationship information. According to the communication equipment performance information, the communication equipment performance index is obtained by processing through a preset communication performance model; according to the communication logic relationship information, the communication logic smoothness index is obtained by processing through a preset logic diagnosis model. According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, the communication quality index is obtained and compared with the preset quality index to determine whether the communication quality meets the requirements. The present application constructs a comprehensive and accurate network view, ensuring that the model not only reflects the physical characteristics of the equipment, but also covers the connection and interaction between the equipment, solves the accuracy problem of multi-source heterogeneous data in digital twin modeling, improves the practicality and accuracy of the model, and enables operation and maintenance personnel to discover potential problems in time and perform predictive maintenance.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a method for intelligent communication and networking of power transmission lines provided in an embodiment of the present application; Figure 2 A flowchart of generating a heterogeneous fusion network twin model for a method for intelligent communication and networking processing of a transmission line provided in an embodiment of the present application; Figure 3 A flowchart of generating a heterogeneous fusion network topology logic model for a method for intelligent communication and networking of power transmission lines provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a communication device performance index for a method for intelligent communication and networking of a power transmission line provided in an embodiment of the present application; Figure 5 A flow chart of obtaining a communication logic smoothness index for a method for intelligent communication and networking processing of a power transmission line provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance. It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0021] Please refer to Figure 1 , Figure 1 The present invention is a flowchart of a method for intelligent communication and networking of a power transmission line in some embodiments of the present invention. The method for intelligent communication and networking of a power transmission line is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for intelligent communication and networking of a power transmission line comprises the following steps: S101. Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period and generating a heterogeneous fusion network twin model; S102, obtaining networking logic information of communication networking devices of multiple configurations within a preset time period and generating a heterogeneous fusion network topology logic model; S103, performing association processing according to the heterogeneous fusion network twin model in combination with the heterogeneous fusion network topology logic model, obtaining a communication network topology diagram of the communication networking device and extracting communication device performance information and communication logic relationship information; S104, processing the communication device performance information through a preset communication performance model to obtain a communication device performance index; S105, processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; S106: Process the communication equipment performance index and the communication logic smoothness index in combination with the communication fault record data through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

[0022] Among them, the present application obtains the physical parameter information of the communication networking equipment and generates a heterogeneous fusion network twin model, which is a virtual mapping of the real network and can reflect the physical state of the network in real time; obtains the networking logic information of the communication networking equipment and generates a heterogeneous fusion network topology logic model, which describes the logical structure and communication process of the network; then performs association processing to combine the physical state and the logical structure to form a complete communication network view, obtains the communication network topology diagram of the communication networking equipment, and extracts the communication equipment performance information and communication logic relationship information. According to the communication equipment performance information, it is processed through the preset communication performance model to obtain the communication equipment performance index; according to the communication logic relationship information, it is processed through the preset logic diagnosis model to obtain the communication logic smoothness index. According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, it is processed through the preset communication quality evaluation model to obtain the communication quality index and compare it with the preset quality index to determine whether the communication quality meets the requirements. This solution technology obtains data by interacting with a third-party communication network maintenance platform. This application builds a comprehensive and accurate network view, ensuring that the model not only reflects the physical characteristics of the equipment, but also covers the connection and interaction methods between devices. It solves the accuracy problem of multi-source heterogeneous data in digital twin modeling, improves the practicality and accuracy of the model, and enables operation and maintenance personnel to promptly detect potential problems and perform predictive maintenance.

[0023] Please refer to Figure 2 , Figure 2 It is a flow chart of generating a heterogeneous fusion network twin model of a transmission line intelligent communication and networking processing method in some embodiments of the present application. According to an embodiment of the present invention, the generation of a heterogeneous fusion network twin model is specifically: S201, obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; S202, the communication networking device physical parameter information includes networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information; S203. Generate a heterogeneous fusion network twin model according to the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

[0024] Among them, in order to build a heterogeneous fusion network twin model, the physical parameter information of communication networking devices of multiple configurations within a preset time period is obtained, including networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information. Networking device type information includes the model, manufacturer, design specifications, etc. of the device, which provide a basis for understanding the performance characteristics and compatibility of the device; the device working environment information involves the physical environment in which the device is located, such as temperature, humidity, electromagnetic interference, etc. These factors may affect the performance and stability of the device; the device maintenance record information includes the maintenance history, repair record, replacement of parts, etc. of the device, which reflect the maintenance status and possible wear degree of the device; the basic hardware parameter information includes the processor speed, memory capacity, storage capacity, interface type, etc. of the device, which determine the processing power and data transmission speed of the device; the communication protocol information describes the network protocols and communication standards supported by the device, which determine how the device communicates with other devices and the efficiency of communication. The heterogeneous fusion network twin model is then generated, which contains all the key physical parameter information of the devices in the actual network.

[0025] Please refer to Figure 3 , Figure 3 The flowchart of generating a heterogeneous fusion network topology logic model of a transmission line intelligent communication and networking processing method in some embodiments of the present application. According to an embodiment of the present invention, the generating of the heterogeneous fusion network topology logic model is specifically: S301, obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; S302, the networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; S303: Generate a heterogeneous converged network topology logic model according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

[0026] Among them, in order to construct a heterogeneous converged network topology logical model, the networking logic information of communication networking devices of multiple configurations within a preset time period is obtained, including network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information. The network configuration arrangement information records the logical connection relationship between devices, such as the connection between switches and routers, the relationship between devices and subnets, etc.; network communication link information includes link status and link type; network communication interface information includes interface IP address, subnet mask, MAC address, etc.; VLAN configuration information records the communication rules between different VLANs, such as routing protocols, static routing, etc. Regenerating a heterogeneous converged network topology logical model helps network administrators better understand and manage complex network environments.

[0027] Please refer to Figure 4 , Figure 4 The present invention provides a flowchart of obtaining a communication device performance index in a method for intelligent communication and networking of a power transmission line in some embodiments of the present invention. According to an embodiment of the present invention, obtaining the communication device performance index is specifically: S401, extracting throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data according to the communication device performance information; S402: Process the throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data using a preset communication performance model to obtain a communication device performance index.

[0028] Among them, in order to obtain the communication equipment performance index, throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data are extracted according to the communication equipment performance information. Throughput data is an indicator to measure the amount of data successfully transmitted by a network or device in a unit time, which reflects the transmission capacity of the network and the processing capacity of the device; delay rate data refers to the time required for a data packet to go from the sender to the receiver. Low delay means faster response time and higher user experience; packet loss rate data is the proportion of data packets lost during the transmission process. A high packet loss rate may cause incomplete data transmission or communication interruption; signal strength data indicates the strength of the received wireless signal; signal-to-noise ratio data is an important indicator to measure signal quality. It indicates the ratio of signal power to noise power. A high signal-to-noise ratio means better communication quality and lower bit error rate. Finally, the communication equipment performance index is obtained through processing by the preset communication performance model, which reflects the overall performance level of the communication equipment; The calculation formula of the communication performance model is: ; in, is the communication equipment performance index, They are throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0029] Please refer to Figure 5 , Figure 5 The flowchart of obtaining the communication logic smoothness index of a method for intelligent communication and networking processing of a power transmission line in some embodiments of the present application is as follows. According to an embodiment of the present invention, obtaining the communication logic smoothness index is specifically: S501, extracting communication protocol compliance data, signal transmission error rate data and data processing efficiency data according to the communication logic relationship information; S502: Process the communication protocol compliance data, signal transmission error rate data and data processing efficiency data through a preset logic diagnosis model to obtain a communication logic smoothness index.

[0030] Among them, in order to obtain the communication logic smoothness index, the communication protocol compliance data, signal transmission error rate data and data processing efficiency data are extracted according to the communication logic relationship information. The communication protocol compliance data is a measure of the degree to which the communication equipment or system follows the specific communication protocol standard, which includes the compliance of data format, transmission speed, error detection and correction mechanism, etc.; the signal transmission error rate data refers to the probability of errors occurring during the signal transmission process; the data processing efficiency data refers to the speed and efficiency of the communication equipment or system when processing the received data. Finally, the communication logic smoothness index is obtained through processing through the preset logic diagnosis model, which reflects the smoothness of the communication logic relationship; The calculation formula of the logical diagnosis model is: ; in, is the communication logic smoothness index, They are communication protocol compliance data, signal transmission error rate data and data processing efficiency data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0031] According to an embodiment of the present invention, the determining whether the communication quality meets the requirement is specifically as follows: According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, a communication quality index is obtained by processing through a preset communication quality evaluation model; Comparing the communication quality index with a preset quality index to obtain a quality index deviation rate; comparing the quality index deviation rate with a preset quality index deviation rate threshold; If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, a communication abnormality message is sent; If the quality index deviation rate is less than the quality index deviation rate threshold, a communication normal message is sent.

[0032] Among them, in order to obtain the communication quality index and determine whether the communication quality meets the requirements, the communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data to be processed through a preset communication quality evaluation model to obtain the communication quality index, which is compared with the preset quality index to obtain the quality index deviation rate, which is then compared with the preset quality index deviation rate threshold. If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, communication abnormality information is sent, including the communication quality index, deviation rate, possible fault causes and suggested solutions, etc.; if the quality index deviation rate is less than the quality index deviation rate threshold, communication normal information is sent to confirm that the current state of the communication system is good, and may include some maintenance suggestions or preventive measures, etc.; The calculation formula of the communication quality evaluation model is: ; in, is the communication quality index, They are communication equipment performance index, communication logic smoothness index and communication fault record data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0033] According to an embodiment of the present invention, it also includes: Obtaining networking instruction information within the preset time period and entering networking mode; Extracting the network starting address information and the starting device ID information according to the network instruction information; According to the networking start address information, query through a preset communication network database to obtain first communication address information; The networking start address information and the start device ID information are combined with the first communication address information to perform fusion processing to obtain the networking broadcast information.

[0034] Among them, in order to ensure that the overall project cycle meets the requirements, the networking instruction information within the preset time period is obtained and the networking mode is entered. The networking starting address information and the starting device ID information are extracted according to the networking instruction information to determine the starting point of the networking and the identity of the starting device; according to the networking starting address information, a query is made through the preset communication network database to obtain the first communication address information, which will be used for subsequent networking broadcast and matching communication. The networking starting address information and the starting device ID information are combined with the first communication address information for fusion processing to obtain the networking broadcast information, which contains all the key information required for networking.

[0035] According to an embodiment of the present invention, it also includes: According to the networking broadcast information, obtaining communication verification information, including network interface information and communication address information; Setting a communication address according to the communication verification information and sending verification information; Perform counting processing according to the inspection information to obtain response quantity data; Comparing the response quantity data with a preset quantity threshold; If the number of response data is greater than the number threshold, a test failure message is sent; If the response quantity data is equal to the quantity threshold, a verification success message is sent.

[0036] Among them, in order to realize the automatic completion of the ring networking, the communication verification information, including the network interface information and the communication address information, is obtained according to the networking broadcast information. The communication address is set according to the communication verification information and the verification information is sent. The counting process is performed according to the verification information to obtain the response quantity data. The response quantity data is compared with the preset quantity threshold. If the response quantity data is greater than the quantity threshold, the verification failure information is sent, indicating that other devices have already responded and the current communication address is unavailable; if the response quantity data is equal to the quantity threshold, the verification success information is sent.

[0037] The present invention also discloses a transmission line intelligent communication and networking processing system, comprising a memory and a processor, wherein the memory comprises a transmission line intelligent communication and networking processing method program, and when the transmission line intelligent communication and networking processing method program is executed by the processor, the following steps are implemented: Obtain physical parameter information of communication networking devices of multiple configurations within a preset time period and generate a heterogeneous fusion network twin model; Acquire the networking logic information of multiple configurations of communication networking devices within a preset time period and generate a heterogeneous fusion network topology logic model; According to the heterogeneous fusion network twin model and the heterogeneous fusion network topology logic model, association processing is performed to obtain a communication network topology diagram of the communication networking device and extract communication device performance information and communication logic relationship information; Processing the communication equipment performance information through a preset communication performance model to obtain a communication equipment performance index; Processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; The communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data and processed through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

[0038] Among them, the present application obtains the physical parameter information of the communication networking equipment and generates a heterogeneous fusion network twin model, which is a virtual mapping of the real network and can reflect the physical state of the network in real time; obtains the networking logic information of the communication networking equipment and generates a heterogeneous fusion network topology logic model, which describes the logical structure and communication process of the network; then performs association processing to combine the physical state and the logical structure to form a complete communication network view, obtains the communication network topology diagram of the communication networking equipment, and extracts the communication equipment performance information and communication logic relationship information. According to the communication equipment performance information, it is processed through the preset communication performance model to obtain the communication equipment performance index; according to the communication logic relationship information, it is processed through the preset logic diagnosis model to obtain the communication logic smoothness index. According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, it is processed through the preset communication quality evaluation model to obtain the communication quality index and compare it with the preset quality index to determine whether the communication quality meets the requirements. This solution technology obtains data by interacting with a third-party communication network maintenance platform. This application builds a comprehensive and accurate network view, ensuring that the model not only reflects the physical characteristics of the equipment, but also covers the connection and interaction methods between devices. It solves the accuracy problem of multi-source heterogeneous data in digital twin modeling, improves the practicality and accuracy of the model, and enables operation and maintenance personnel to promptly detect potential problems and perform predictive maintenance.

[0039] According to an embodiment of the present invention, generating a heterogeneous fusion network twin model is specifically: Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; The communication networking equipment physical parameter information includes networking equipment type information, equipment working environment information, equipment maintenance record information, hardware basic parameter information and communication protocol information; A heterogeneous fusion network twin model is generated based on the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

[0040] Among them, in order to build a heterogeneous fusion network twin model, the physical parameter information of communication networking devices of multiple configurations within a preset time period is obtained, including networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information. Networking device type information includes the model, manufacturer, design specifications, etc. of the device, which provide a basis for understanding the performance characteristics and compatibility of the device; the device working environment information involves the physical environment in which the device is located, such as temperature, humidity, electromagnetic interference, etc. These factors may affect the performance and stability of the device; the device maintenance record information includes the maintenance history, repair record, replacement of parts, etc. of the device, which reflect the maintenance status and possible wear degree of the device; the basic hardware parameter information includes the processor speed, memory capacity, storage capacity, interface type, etc. of the device, which determine the processing power and data transmission speed of the device; the communication protocol information describes the network protocols and communication standards supported by the device, which determine how the device communicates with other devices and the efficiency of communication. The heterogeneous fusion network twin model is then generated, which contains all the key physical parameter information of the devices in the actual network.

[0041] According to an embodiment of the present invention, generating a heterogeneous fusion network topology logic model is specifically as follows: Obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; The networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; A heterogeneous fusion network topology logic model is generated according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

[0042] Among them, in order to construct a heterogeneous converged network topology logical model, the networking logic information of communication networking devices of multiple configurations within a preset time period is obtained, including network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information. The network configuration arrangement information records the logical connection relationship between devices, such as the connection between switches and routers, the relationship between devices and subnets, etc.; network communication link information includes link status and link type; network communication interface information includes interface IP address, subnet mask, MAC address, etc.; VLAN configuration information records the communication rules between different VLANs, such as routing protocols, static routing, etc. Regenerating a heterogeneous converged network topology logical model helps network administrators better understand and manage complex network environments.

[0043] According to an embodiment of the present invention, obtaining the communication device performance index is specifically: Extracting throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data according to the communication device performance information; The throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data are processed through a preset communication performance model to obtain a communication equipment performance index.

[0044] Among them, in order to obtain the communication equipment performance index, throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data are extracted according to the communication equipment performance information. Throughput data is an indicator to measure the amount of data successfully transmitted by a network or device in a unit time, which reflects the transmission capacity of the network and the processing capacity of the device; delay rate data refers to the time required for a data packet to go from the sender to the receiver. Low delay means faster response time and higher user experience; packet loss rate data is the proportion of data packets lost during the transmission process. A high packet loss rate may cause incomplete data transmission or communication interruption; signal strength data indicates the strength of the received wireless signal; signal-to-noise ratio data is an important indicator to measure signal quality. It indicates the ratio of signal power to noise power. A high signal-to-noise ratio means better communication quality and lower bit error rate. Finally, the communication equipment performance index is obtained through processing by the preset communication performance model, which reflects the overall performance level of the communication equipment; The calculation formula of the communication performance model is: ; in, is the communication equipment performance index, They are throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0045] According to an embodiment of the present invention, obtaining the communication logic smoothness index is specifically: Extracting communication protocol compliance data, signal transmission error rate data and data processing efficiency data according to the communication logic relationship information; The communication protocol compliance data, signal transmission error rate data and data processing efficiency data are processed through a preset logic diagnosis model to obtain a communication logic smoothness index.

[0046] Among them, in order to obtain the communication logic smoothness index, the communication protocol compliance data, signal transmission error rate data and data processing efficiency data are extracted according to the communication logic relationship information. The communication protocol compliance data is a measure of the degree to which the communication equipment or system follows the specific communication protocol standard, which includes the compliance of data format, transmission speed, error detection and correction mechanism, etc.; the signal transmission error rate data refers to the probability of errors occurring during the signal transmission process; the data processing efficiency data refers to the speed and efficiency of the communication equipment or system when processing the received data. Finally, the communication logic smoothness index is obtained through processing through the preset logic diagnosis model, which reflects the smoothness of the communication logic relationship; The calculation formula of the logical diagnosis model is: ; in, is the communication logic smoothness index, They are communication protocol compliance data, signal transmission error rate data and data processing efficiency data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0047] According to an embodiment of the present invention, the determining whether the communication quality meets the requirement is specifically as follows: According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, a communication quality index is obtained by processing through a preset communication quality evaluation model; Comparing the communication quality index with a preset quality index to obtain a quality index deviation rate; comparing the quality index deviation rate with a preset quality index deviation rate threshold; If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, a communication abnormality message is sent; If the quality index deviation rate is less than the quality index deviation rate threshold, a communication normal message is sent.

[0048] Among them, in order to obtain the communication quality index and determine whether the communication quality meets the requirements, the communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data to be processed through a preset communication quality evaluation model to obtain the communication quality index, which is compared with the preset quality index to obtain the quality index deviation rate, which is then compared with the preset quality index deviation rate threshold. If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, communication abnormality information is sent, including the communication quality index, deviation rate, possible fault causes and suggested solutions, etc.; if the quality index deviation rate is less than the quality index deviation rate threshold, communication normal information is sent to confirm that the current state of the communication system is good, and may include some maintenance suggestions or preventive measures, etc.; The calculation formula of the communication quality evaluation model is: ; in, is the communication quality index, They are communication equipment performance index, communication logic smoothness index and communication fault record data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset communication network database).

[0049] According to an embodiment of the present invention, it also includes: Obtaining networking instruction information within the preset time period and entering networking mode; Extracting the network starting address information and the starting device ID information according to the network instruction information; According to the networking start address information, query through a preset communication network database to obtain first communication address information; The networking start address information and the start device ID information are combined with the first communication address information to perform fusion processing to obtain the networking broadcast information.

[0050] Among them, in order to ensure that the overall project cycle meets the requirements, the networking instruction information within the preset time period is obtained and the networking mode is entered. The networking starting address information and the starting device ID information are extracted according to the networking instruction information to determine the starting point of the networking and the identity of the starting device; according to the networking starting address information, a query is made through the preset communication network database to obtain the first communication address information, which will be used for subsequent networking broadcast and matching communication. The networking starting address information and the starting device ID information are combined with the first communication address information for fusion processing to obtain the networking broadcast information, which contains all the key information required for networking.

[0051] According to an embodiment of the present invention, it also includes: According to the networking broadcast information, obtaining communication verification information, including network interface information and communication address information; Setting a communication address according to the communication verification information and sending verification information; Perform counting processing according to the inspection information to obtain response quantity data; Comparing the response quantity data with a preset quantity threshold; If the number of response data is greater than the number threshold, a test failure message is sent; If the response quantity data is equal to the quantity threshold, a verification success message is sent.

[0052] Among them, in order to realize the automatic completion of the ring networking, the communication verification information, including the network interface information and the communication address information, is obtained according to the networking broadcast information. The communication address is set according to the communication verification information and the verification information is sent. The counting process is performed according to the verification information to obtain the response quantity data. The response quantity data is compared with the preset quantity threshold. If the response quantity data is greater than the quantity threshold, the verification failure information is sent, indicating that other devices have already responded and the current communication address is unavailable; if the response quantity data is equal to the quantity threshold, the verification success information is sent.

[0053] The third aspect of the present invention provides a computer-readable storage medium, which includes a program for a method for intelligent communication and networking processing of transmission lines. When the program for a method for intelligent communication and networking processing of transmission lines is executed by a processor, the steps of the method for intelligent communication and networking processing of transmission lines as described in any one of the above items are implemented.

[0054] The present invention discloses a method, system and medium for intelligent communication and networking processing of power transmission lines, which obtains the physical parameter information of communication networking equipment and generates a heterogeneous fusion network twin model; obtains the networking logic information of communication networking equipment and generates a heterogeneous fusion network topology logic model; then performs association processing to obtain a communication network topology diagram of the communication networking equipment and extracts the communication equipment performance information and communication logic relationship information. According to the communication equipment performance information, the communication equipment performance index is obtained by processing through a preset communication performance model; according to the communication logic relationship information, the communication logic smoothness index is obtained by processing through a preset logic diagnosis model. According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, the communication quality index is obtained and compared with the preset quality index to determine whether the communication quality meets the requirements. The present application constructs a comprehensive and accurate network view, ensuring that the model not only reflects the physical characteristics of the equipment, but also covers the connection and interaction between the equipment, solves the accuracy problem of multi-source heterogeneous data in digital twin modeling, improves the practicality and accuracy of the model, and enables operation and maintenance personnel to timely discover potential problems and perform predictive maintenance.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0056] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0057] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0058] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium, which, when executed, executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories, random access memories, magnetic disks or optical disks, and other media that can store program codes.

[0059] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for intelligent communication and networking of power transmission lines, characterized in that: The following steps are involved: Obtain physical parameter information of communication networking devices of multiple configurations within a preset time period and generate a heterogeneous fusion network twin model; Acquire the networking logic information of multiple configurations of communication networking devices within a preset time period and generate a heterogeneous fusion network topology logic model; According to the heterogeneous fusion network twin model and the heterogeneous fusion network topology logic model, association processing is performed to obtain a communication network topology diagram of the communication networking device and extract communication device performance information and communication logic relationship information; Processing the communication equipment performance information through a preset communication performance model to obtain a communication equipment performance index; Processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; The communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data and processed through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

2. A method for intelligent communication and networking of power transmission lines according to claim 1, characterized in that: The generation of the heterogeneous fusion network twin model is specifically as follows: Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; The communication networking equipment physical parameter information includes networking equipment type information, equipment working environment information, equipment maintenance record information, hardware basic parameter information and communication protocol information; A heterogeneous fusion network twin model is generated based on the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

3. A method for intelligent communication and networking of power transmission lines according to claim 2, characterized in that: The generating of the heterogeneous fusion network topology logic model is specifically as follows: Obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; The networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; A heterogeneous fusion network topology logic model is generated according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

4. A method for intelligent communication and networking of power transmission lines according to claim 3, characterized in that: The obtaining of the communication equipment performance index is specifically: Extracting throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data according to the communication device performance information; The throughput data, delay rate data, packet loss rate data, signal strength data and signal-to-noise ratio data are processed through a preset communication performance model to obtain a communication equipment performance index.

5. A method for intelligent communication and networking of power transmission lines according to claim 4, characterized in that: The communication logic smoothness index is obtained as follows: Extracting communication protocol compliance data, signal transmission error rate data and data processing efficiency data according to the communication logic relationship information; The communication protocol compliance data, signal transmission error rate data and data processing efficiency data are processed through a preset logic diagnosis model to obtain a communication logic smoothness index.

6. A method for intelligent communication and networking of power transmission lines according to claim 5, characterized in that: The determining whether the communication quality meets the requirement is specifically as follows: According to the communication equipment performance index and the communication logic smoothness index combined with the communication fault record data, a communication quality index is obtained by processing through a preset communication quality evaluation model; Comparing the communication quality index with a preset quality index to obtain a quality index deviation rate; comparing the quality index deviation rate with a preset quality index deviation rate threshold; If the quality index deviation rate is greater than or equal to the quality index deviation rate threshold, a communication abnormality message is sent; If the quality index deviation rate is less than the quality index deviation rate threshold, a communication normal message is sent.

7. A transmission line intelligent communication and networking processing system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a program of a method for intelligent communication and networking processing of a power transmission line, and when the program of the method for intelligent communication and networking processing of a power transmission line is executed by the processor, the following steps are implemented: Obtain physical parameter information of communication networking devices of multiple configurations within a preset time period and generate a heterogeneous fusion network twin model; Acquire the networking logic information of multiple configurations of communication networking devices within a preset time period and generate a heterogeneous fusion network topology logic model; According to the heterogeneous fusion network twin model and the heterogeneous fusion network topology logic model, association processing is performed to obtain a communication network topology diagram of the communication networking device and extract communication device performance information and communication logic relationship information; Processing the communication equipment performance information through a preset communication performance model to obtain a communication equipment performance index; Processing the communication logic relationship information through a preset logic diagnosis model to obtain a communication logic smoothness index; The communication equipment performance index and the communication logic smoothness index are combined with the communication fault record data and processed through a preset communication quality evaluation model to obtain a communication quality index and compare it with a preset quality index to determine whether the communication quality meets the requirements.

8. A power transmission line intelligent communication and networking processing system according to claim 7, characterized in that: The generation of the heterogeneous fusion network twin model is specifically as follows: Obtaining physical parameter information of communication networking devices of multiple configurations within a preset time period; The communication networking equipment physical parameter information includes networking equipment type information, equipment working environment information, equipment maintenance record information, hardware basic parameter information and communication protocol information; A heterogeneous fusion network twin model is generated based on the networking device type information, device working environment information, device maintenance record information, hardware basic parameter information and communication protocol information.

9. A power transmission line intelligent communication and networking processing system according to claim 8, characterized in that: The generating of the heterogeneous fusion network topology logic model is specifically as follows: Obtaining networking logic information of communication networking devices of multiple configurations within a preset time period; The networking logic information includes network configuration information, network communication link information, network communication interface information and VLAN configuration information; A heterogeneous fusion network topology logic model is generated according to the network configuration arrangement information, network communication link information, network communication interface information and VLAN configuration information.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for a method for intelligent communication and networking processing of power transmission lines. When the program for intelligent communication and networking processing of power transmission lines is executed by a processor, the steps of a method for intelligent communication and networking processing of power transmission lines as described in any one of claims 1 to 6 are implemented.

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