Wired communication network fault prediction system

Abstract

The invention relates to the field of communication network fault prediction, in particular to a wired communication network fault prediction system, which comprises a data acquisition module used for acquiring first electromagnetic interference influence information of each electromagnetic source; the data preprocessing module is used for preprocessing the first electromagnetic interference influence information to generate second electromagnetic interference influence information; the data correction module is used for calculating the induced electromotive force of each position of the target section according to the mutual influence between the electromagnetic sources at different positions; according to the method, when whether the cable of the wired communication network breaks down is calculated, the possibility that due to the fact that the distances between different test sections and electromagnetic sources are different, the values of induced currents generated by the different test sections are different, and the possibility that the cable of the wired communication network breaks down is influenced is considered; compared with other wired communication network fault prediction methods, the method is higher in prediction precision, and is convenient for workers to carry out maintenance and other operations according to the method.

Description

Technical Field

[0001] The present invention relates to the field of communication network fault prediction, and in particular to a wired communication network fault prediction system. Background Art

[0002] Currently, some wired communication networks transmit network signals through copper cables, aluminum cables and mixed alloy cables. When there are some electromagnetic sources around the cables that will seriously affect the magnetic field strength, the difference in electromotive force between the magnetic field and the cable may generate induced current, which may affect the signal quality at the least and cause the wired communication network to malfunction at the worst. In order to avoid fluctuations or interruptions in the network during use, it is necessary to predict the probability of failure.

[0003] A common method is to calculate the induced current in the cable based on the electric field strength of each electromagnetic source, and use this to calculate the fault probability. However, this calculation method does not take into account that multiple electromagnetic sources will cause different induced currents to appear in the cable at the same time. Therefore, the accuracy of the calculated fault probability deviates from the actual situation, making it inconvenient for staff to formulate maintenance plans based on the predicted fault probability. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a wired communication network fault prediction system, which solves the technical problem that the prior art does not consider the situation where multiple electromagnetic sources jointly affect the cable, resulting in inaccurate calculation of the fault probability.

[0005] To achieve the above object, the present invention provides the following technical solutions: A wired communication network fault prediction system, comprising: A data acquisition module, wherein the data acquisition module is used to obtain first electromagnetic interference impact information of each electromagnetic source; A data preprocessing module, wherein the data preprocessing module is used to preprocess the first electromagnetic interference impact information to generate second electromagnetic interference impact information; A data correction module is used to correct the induced electromotive force at each position of the target segment according to the mutual influence between electromagnetic sources at different positions. Perform calculations; A fault prediction module is used to predict the fault according to the induced electromotive force. The possibility of failure of cables in a wired communication network is predicted.

[0006] Furthermore, the first electromagnetic interference impact information includes electromagnetic source location information, electromagnetic field strength information, and ambient temperature and humidity information.

[0007] Furthermore, the steps of preprocessing the first electromagnetic interference information are specifically as follows: S101. Define the temperature and humidity-electromagnetic intensity influence relationship expression based on the electromagnetic field intensity information , its specific form is: In the formula, Indicates the reference temperature; Indicates reference humidity; Indicates the standard electromagnetic intensity measurement value at reference temperature and reference humidity; and Respectively represent the temperature and humidity in the actual environment; and Respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value; Indicated in and The electromagnetic intensity measurements under S102, detecting the signals of standard electromagnetic intensity and standard electromagnetic frequency under different temperature and humidity conditions to obtain detection data ; S103, according to the test data calculate and ; S104, according to , Correct the electromagnetic field strength information to generate corrected electromagnetic field strength information ; S105, electromagnetic source position information, correction electromagnetic field strength information And the environmental temperature and humidity information is used as the second electromagnetic interference impact information.

[0008] Further, and The calculation formulas are: The calculation formula is: The calculation formula is: in, and They respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value.

[0009] Further, the electromagnetic field strength information is corrected The calculation formula is: In the formula, , and They respectively represent the electromagnetic intensity information, ambient temperature and humidity information of the electromagnetic source around the target segment; they are directly obtained through the data acquisition module.

[0010] Furthermore, the steps of calculating the actual electromagnetic intensity and the actual electromagnetic frequency of the target segment are specifically as follows: S201, dividing the target segment into a number of test segments of equal length; S202: Calculate the electromagnetic strength of the magnetic field of each electromagnetic source in each test section of the wired communication network cable. , and its calculation formula is: In the formula, represents the magnetic field strength of the i-th electromagnetic source at the p-th target segment; represents the magnetic moment vector of the i-th electromagnetic source; represents the vector from the i-th electromagnetic source to the p-th test segment; express The direction unit vector of express Length; S203, calculating the magnetization intensity of the test section magnetized by each electromagnetic source , and its calculation formula is: In the formula, Indicates the basic magnetic susceptibility of the cable; represents the nonlinear susceptibility of the cable; S204, according to the magnetization intensity Calculate the induced electromotive force of each test section .

[0011] Furthermore, the induced electromotive force The calculation formula is: In the formula, Indicates the total number of electromagnetic sources; represents the vacuum permeability; represents the near-field coupling coefficient; represents the electromagnetic intensity of the magnetic field of the jth electromagnetic source in the pth test section; represents the area element vector of the pth test segment; represents the area element of the pth test segment; Represents the time differential.

[0012] Furthermore, the steps of predicting the possibility of a cable failure in the wired communication network are specifically as follows: S301, according to the induced electromotive force of each test section Calculate the induced current , and its calculation formula is: In the formula, Indicates the resistance value of the cable of the wired communication network; represents the angular frequency of the induced current; Represents the inductance of the cables of a wired communication network; Indicates the time when the induced current is generated; It represents the phase difference between the induced current and the induced electromotive force; S302, constructing a training set, and using the training set to train a fault prediction model to obtain a target model; S303, the outer skin material, usage time, average temperature, average humidity and induced current of each test section Input the target model and output the first fault impact coefficient of each test section ; S304: Based on the first fault influence coefficient of each test section Calculate the probability of failure.

[0013] Furthermore, in step S304, the following specific steps are included: S311. Calculate the mutual inductance coefficient between each test segment , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the i-th and j-th test segments; Indicates the length of each test segment; represents the average distance between the i-th and j-th test segments; S312, according to the mutual inductance coefficient Construct the mutual inductance matrix M, whose expression is: In the formula, Indicates the total number of test segments; S313, according to the first fault influence coefficient Calculate the second fault influence coefficient , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the pth and jth test segments; represents the first fault influence coefficient of the jth test section; S314: According to the second fault influence coefficient Calculate the probability of failure, the calculation formula is: In the formula, Indicates the probability of failure of the target segment.

[0014] Compared with the prior art, the present invention provides a wired communication network fault prediction system, which has the following beneficial effects: 1. When calculating whether a cable of a wired communication network will fail, the present invention takes into account that different test sections have different distances from each electromagnetic source, so the values ​​of the induced currents they generate are also different, which affects the possibility of failure of the wired communication network. Therefore, compared with other wired communication network fault prediction methods, the prediction accuracy is higher, so that staff can perform maintenance and other operations based on it.

[0015] 2. When calculating the induced electromotive force of the target segment, the present invention takes into account the comprehensive impact of multiple surrounding electromagnetic sources on the target segment compared to other calculation methods, so the calculation accuracy is higher, which is convenient for calculating the possibility of failure of the target segment in the later stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 is a schematic diagram of a wired communication network fault prediction system of the present invention; Figure 2 It is a plan view schematic diagram of the wired communication network cable of the present invention in a complex magnetic field environment. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods, so that the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0018] Those skilled in the art can understand that all or part of the steps in the following embodiments can be completed by instructing the relevant hardware through a program, so the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present 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 codes.

[0019] With the development of electronic information technology, electromagnetic interference in people's daily life environment is increasing. Large motors, transformers, generators, radio transmitters, microwave ovens and high-voltage wires, etc., will form magnetic fields around them, which may form currents in the cables of wired communication networks and cause electromagnetic interference to the cables of wired communication networks. Electromagnetic interference will cause a variety of fault problems to the cables of wired communication networks, including: decreased signal strength, increased bit error rate and increased packet loss rate. In order to improve the user experience of the cables of wired communication networks, it is necessary to predict the faults caused by electromagnetic interference in the cables of wired communication networks, so as to eliminate the above-mentioned influencing factors before the fault occurs. For this purpose, Figure 1 As shown, the present invention proposes a wired communication network fault prediction system, comprising: The data acquisition module is used to obtain the first electromagnetic interference impact information of each electromagnetic source; specifically, if there is an electromagnetic interference source around the environment in which the cables of the wired communication network are located, it may cause electromagnetic interference to the cables of the wired communication network, so it is necessary to evaluate the surrounding electromagnetic environment. Therefore, the first electromagnetic interference impact information includes electromagnetic source location information, electromagnetic field strength information and ambient temperature and humidity information; among them, the location information of large motors, transformers, generators, radio transmitters, microwave ovens and high-voltage wires around the cables of the wired communication network is obtained, and this is used as the electromagnetic source location information, the electromagnetic field strength information of each electromagnetic source is obtained through a Hall effect sensor, and the real-time ambient temperature and humidity information is obtained through a temperature sensor and a humidity sensor.

[0020] The data preprocessing module is used to preprocess the first electromagnetic interference impact information to generate the second electromagnetic interference impact information; specifically, since the temperature and humidity changes in the environment may affect the electromagnetic intensity and electromagnetic frequency of the electromagnetic source, if this factor is not considered, it will affect the accuracy of the later prediction of whether the cable of the wired communication network will fail. Therefore, the steps of preprocessing the first electromagnetic interference information are as follows: S101. Define the temperature and humidity-electromagnetic intensity influence relationship expression based on the electromagnetic field intensity information , its specific form is: In the formula, Indicates the reference temperature; Indicates reference humidity; Indicates the standard electromagnetic intensity measurement value at reference temperature and reference humidity; and Respectively represent the temperature and humidity in the actual environment; and Respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value; Indicated in and The electromagnetic intensity measurements under S102, detecting the signals of standard electromagnetic intensity and standard electromagnetic frequency under different temperature and humidity conditions to obtain detection data ; Specifically, test data Specifically: S103, according to the test data calculate and ; Specifically, and The calculation formulas are: The calculation formula is: The calculation formula is: in, and They respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value.

[0021] S104, according to , Correct the electromagnetic field strength information to generate corrected electromagnetic field strength information ; Specifically, correct the electromagnetic field strength information The calculation formula is: In the formula, , and Respectively represent the electromagnetic intensity information, ambient temperature and humidity information of the electromagnetic source around the target segment; , and It can be obtained directly through the data acquisition module.

[0022] S105, electromagnetic source position information, correction electromagnetic field strength information And the ambient temperature and humidity information is used as the second electromagnetic interference impact information.

[0023] The data correction module is used to adjust the induced electromotive force at each position of the target segment according to the mutual influence between electromagnetic sources at different positions. Specifically, if the cables of the wired communication network are in a relatively complex electromagnetic field environment, such as Figure 2As shown, it may cause complex electromagnetic field strength information mutual interference to the surrounding environment of wired communication. If this factor is not taken into account, it will affect the possibility of cable failure in the wired communication network calculated later. It should be noted that the target segment represents the location where the cable of the wired communication network may be interfered, and all locations of the target segment are within the magnetic field range of the same electromagnetic sources. Therefore, the steps for calculating the actual electromagnetic strength and actual electromagnetic frequency of the target segment are as follows: S201, dividing the target segment into a number of test segments of equal length; S202: Calculate the electromagnetic strength of the magnetic field of each electromagnetic source in each test section of the wired communication network cable. , and its calculation formula is: In the formula, represents the magnetic field strength of the i-th electromagnetic source at the p-th target segment; represents the magnetic moment vector of the i-th electromagnetic source; represents the vector from the i-th electromagnetic source to the p-th test segment; express The direction unit vector of express Length; S203, calculating the magnetization intensity of the test section magnetized by each electromagnetic source , and its calculation formula is: In the formula, Indicates the basic magnetic susceptibility of the cable; represents the nonlinear susceptibility of the cable; specifically, for ; for ; S204, according to the magnetization intensity Calculate the induced electromotive force of each test section ; Specifically, the induced electromotive force The calculation formula is: In the formula, Indicates the total number of electromagnetic sources; represents the magnetic permeability of vacuum; represents the near-field coupling coefficient; represents the electromagnetic intensity of the magnetic field of the jth electromagnetic source in the pth test section; represents the area element vector of the pth test segment; represents the area element of the pth test segment; represents the differential of time; specifically, It is 0.33.

[0024] When calculating the induced electromotive force of the target segment, the present invention takes into account the comprehensive influence of multiple surrounding electromagnetic sources on the target segment compared to other calculation methods, so the calculation accuracy is higher, which is convenient for calculating the possibility of failure of the target segment in the later stage.

[0025] The fault prediction module is used to The possibility of cable failure in the wired communication network is predicted; specifically, due to the induced electromotive force of different test sections Different induced currents may be generated in different test sections of the cable, thereby increasing the probability of failure of the wired communication network. Therefore, the steps for predicting the possibility of failure of the cable of the wired communication network are as follows: S301, according to the induced electromotive force of each test section Calculate the induced current , and its calculation formula is: In the formula, Indicates the resistance value of the cable of the wired communication network; represents the angular frequency of the induced current; Represents the inductance of the cables of a wired communication network; Indicates the time when the induced current is generated; It represents the phase difference between the induced current and the induced electromotive force; S302, construct a training set, and use the training set to train the fault prediction model to obtain a target model; specifically, the outer sheath material, usage time, average temperature, average humidity and induced current of each section of other wired communication network cables can be obtained. As training samples, the fault impact values ​​are marked according to relevant technical experts and used as sample labels; S303, the outer skin material, usage time, average temperature, average humidity and induced current of each test section Input the target model and output the first fault impact coefficient of each test section ; S304: Based on the first fault influence coefficient of each test section Calculating the possibility of failure; Specifically, since multiple test segments may generate induced currents, multiple induced currents may affect each other, which may have a complex impact on the possibility of failure of the cable of the wired communication network. Therefore, in step S304, the following specific steps are included: S311. Calculate the mutual inductance coefficient between each test segment , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the i-th and j-th test segments; Indicates the length of each test segment; represents the average distance between the i-th and j-th test segments; S312, according to the mutual inductance coefficient Construct the mutual inductance matrix M, whose expression is: In the formula, Indicates the total number of test segments; S313, according to the first fault influence coefficient Calculate the second fault influence coefficient , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the pth and jth test segments; represents the first fault influence coefficient of the jth test section; S314: According to the second fault influence coefficient Calculate the probability of failure, the calculation formula is: In the formula, Indicates the probability of failure of the target segment.

[0026] When calculating whether a cable of a wired communication network will fail, the present invention takes into account that different test sections have different distances from each electromagnetic source, so the values ​​of the induced currents they generate are also different, which affects the possibility of failure of the wired communication network. Therefore, compared with other wired communication network fault prediction methods, the prediction accuracy is higher, so that staff can perform maintenance and other operations based on it.

[0027] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A wired communication network fault prediction system, characterized in that: include: A data acquisition module, wherein the data acquisition module is used to obtain first electromagnetic interference impact information of each electromagnetic source; A data preprocessing module, wherein the data preprocessing module is used to preprocess the first electromagnetic interference impact information to generate second electromagnetic interference impact information; A data correction module is used to correct the induced electromotive force at each position of the target segment according to the mutual influence between electromagnetic sources at different positions. Perform calculations; A fault prediction module is used to predict the fault according to the induced electromotive force. The possibility of failure of cables in a wired communication network is predicted.

2. The wired communication network fault prediction system according to claim 1, characterized in that: The first electromagnetic interference impact information includes electromagnetic source location information, electromagnetic field strength information, and ambient temperature and humidity information.

3. The wired communication network fault prediction system according to claim 2, characterized in that: The steps of preprocessing the first electromagnetic interference information are specifically as follows: S101. Define the temperature and humidity-electromagnetic intensity influence relationship expression based on the electromagnetic field intensity information , its specific form is: In the formula, Indicates the reference temperature; Indicates reference humidity; Indicates the standard electromagnetic intensity measurement value at reference temperature and reference humidity; and Respectively represent the temperature and humidity in the actual environment; and Respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value; Indicated in and The electromagnetic intensity measurements under S102, detecting the signals of standard electromagnetic intensity and standard electromagnetic frequency under different temperature and humidity conditions to obtain detection data ; S103, according to the test data calculate and ; S104, according to , Correct the electromagnetic field strength information to generate corrected electromagnetic field strength information ; S105, electromagnetic source position information, correction electromagnetic field strength information And the environmental temperature and humidity information is used as the second electromagnetic interference impact information.

4. The wired communication network fault prediction system according to claim 3, characterized in that: and The calculation formulas are: The calculation formula is: The calculation formula is: in, and They respectively represent the influence coefficients of temperature and humidity on the electromagnetic intensity measurement value.

5. The wired communication network fault prediction system according to claim 3, characterized in that: Correction of electromagnetic field strength information The calculation formula is: In the formula, , and They respectively represent the electromagnetic intensity information, ambient temperature and humidity information of the electromagnetic source around the target segment.

6. The wired communication network fault prediction system according to claim 1, characterized in that: The steps for calculating the actual electromagnetic intensity and actual electromagnetic frequency of the target segment are as follows: S201, dividing the target segment into a number of test segments of equal length; S202: Calculate the electromagnetic strength of the magnetic field of each electromagnetic source in each test section of the wired communication network cable. , and its calculation formula is: In the formula, represents the magnetic field strength of the i-th electromagnetic source at the p-th target segment; represents the magnetic moment vector of the i-th electromagnetic source; represents the vector from the i-th electromagnetic source to the p-th test segment; express The direction unit vector of express Length; S203, calculating the magnetization intensity of the test section magnetized by each electromagnetic source , and its calculation formula is: In the formula, Indicates the basic magnetic susceptibility of the cable; represents the nonlinear susceptibility of the cable; S204, according to the magnetization intensity Calculate the induced electromotive force of each test section .

7. The wired communication network fault prediction system according to claim 6, characterized in that: Induced electromotive force The calculation formula is: In the formula, Indicates the total number of electromagnetic sources; represents the magnetic permeability of vacuum; represents the near-field coupling coefficient; represents the electromagnetic intensity of the magnetic field of the jth electromagnetic source in the pth test section; represents the area element vector of the pth test segment; represents the area element of the pth test segment; Represents the differential of time.

8. The wired communication network fault prediction system according to claim 1, characterized in that: The steps for predicting the possibility of a cable failure in a wired communication network are as follows: S301, according to the induced electromotive force of each test section Calculate the induced current , and its calculation formula is: In the formula, Indicates the resistance value of the cable of the wired communication network; represents the angular frequency of the induced current; Represents the inductance of the cables of a wired communication network; Indicates the time when the induced current is generated; It represents the phase difference between the induced current and the induced electromotive force; S302, constructing a training set, and using the training set to train a fault prediction model to obtain a target model; S303, the outer skin material, usage time, average temperature, average humidity and induced current of each test section Input the target model and output the first fault impact coefficient of each test section ; S304: Based on the first fault influence coefficient of each test section Calculate the probability of failure.

9. The wired communication network fault prediction system according to claim 8, characterized in that: In step S304, the following specific steps are included: S311. Calculate the mutual inductance coefficient between each test segment , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the i-th and j-th test segments; Indicates the length of each test segment; represents the average distance between the i-th and j-th test segments; S312, according to the mutual inductance coefficient Construct the mutual inductance matrix M, whose expression is: In the formula, Indicates the total number of test segments; S313, according to the first fault influence coefficient Calculate the second fault influence coefficient , and its calculation formula is: In the formula, represents the mutual inductance coefficient between the pth and jth test segments; represents the first fault influence coefficient of the jth test section; S314: According to the second fault influence coefficient Calculate the probability of failure, the calculation formula is: In the formula, Indicates the probability of failure of the target segment.

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