Modular cable state sensing method and system

Abstract

The invention relates to a modular cable state sensing method and system, and relates to the field of cable state monitoring, and the method comprises the steps: carrying out the vibration influence verification of adjacent cable modules according to a plurality of vibration parameter sequences, and obtaining a plurality of vibration sensing accuracy parameters; performing contact influence analysis according to the plurality of vibration parameter sequences to obtain a plurality of contact influence parameters; and according to the plurality of electrical parameter sequences and the plurality of contact influence parameters, performing electrical influence verification to obtain a plurality of electrical sensing accuracy parameters, combining the plurality of vibration sensing accuracy parameters, performing calculation to obtain a plurality of sensing accuracy parameters, and generating a state sensing result. According to the invention, the technical problems that the accuracy of monitoring data cannot be effectively identified and the accuracy and reliability of cable state judgment are insufficient due to the lack of comprehensive analysis and accuracy verification of different types of monitoring data in a traditional method can be solved; the rationality of vibration and electrical data can be verified in real time, and comprehensive and accurate cable state sensing is realized.

Description

Technical Field

[0001] The present invention relates to the field of cable status monitoring, and in particular to a modular cable status sensing method and system. Background Art

[0002] As an important carrier of power transmission, the reliability of cable operation is crucial to the stability of the entire power grid. During long-term operation, cables may be affected by various factors such as mechanical vibration, current shock, and aging, which may lead to loose cable joints, increased contact resistance, and decreased insulation performance. These problems may eventually cause cable failures and affect power supply safety.

[0003] Since the cable monitoring process may be affected by factors such as environmental noise and electromagnetic interference, the data collected by the sensor may have deviations or errors, resulting in poor reliability of the monitoring results. The existing methods lack cross-validation and accuracy evaluation of different types of monitoring data, making it difficult to effectively identify the accuracy of the monitoring data, resulting in insufficient accuracy and reliability in cable status judgment. Summary of the invention

[0004] The present invention aims to solve the technical problem that traditional cable status sensing methods lack comprehensive analysis and accuracy verification of different types of monitoring data, resulting in the inability to effectively identify the accuracy of the monitoring data, and causing insufficient accuracy and reliability in cable status judgment. A modular cable status sensing method and system are provided to solve the problem.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] In a first aspect, the present invention provides a modular cable status perception method, comprising: performing vibration monitoring and electrical monitoring on multiple connected cable modules to obtain multiple vibration parameter sequences and multiple electrical parameter sequences; performing vibration impact verification on adjacent cable modules based on the multiple vibration parameter sequences to obtain multiple vibration perception accuracy parameters; performing contact impact analysis on the multiple cable modules based on the multiple vibration parameter sequences to obtain multiple contact impact parameters; performing electrical impact verification based on the multiple electrical parameter sequences and multiple contact impact parameters to obtain multiple electrical perception accuracy parameters, and combining the multiple vibration perception accuracy parameters to calculate and obtain multiple perception accuracy parameters to generate a status perception result.

[0007] Preferably, the modular cable status sensing method also includes: dividing multiple cable segments connected by cable connectors to obtain multiple cable modules; monitoring and acquiring vibration parameters and electrical parameters within a recent preset time range by means of vibration sensors and electrical sensors arranged on the multiple cable modules; arranging the monitored vibration parameters and electrical parameters in chronological order to obtain multiple vibration parameter sequences and multiple electrical parameter sequences.

[0008] Preferably, the modular cable status sensing method further includes: extracting amplitude parameters within the multiple vibration parameter sequences to obtain multiple amplitude parameter arrays; extracting the maximum amplitude parameter within the multiple amplitude parameter arrays to obtain multiple maximum amplitude parameters; mapping the amplitude parameters of adjacent cables according to the multiple maximum amplitude parameters to obtain multiple adjacent amplitude parameter intervals; retrieving multiple groups of adjacent maximum amplitude parameters of cable modules adjacent to each cable module, calculating the deviation amplitude from the corresponding adjacent amplitude parameter intervals, and calculating to obtain multiple vibration perception accuracy parameters, wherein the deviation amplitude is negatively correlated with the vibration perception accuracy parameter.

[0009] Preferably, the modular cable status sensing method also includes: obtaining vibration monitoring data of the multiple cable modules within a historical time period, and extracting multiple historical amplitude parameter sets of the multiple cable modules; clustering the same historical amplitude parameters of the same cable modules in the multiple historical amplitude parameter sets to obtain multiple same amplitude parameter sets; extracting the amplitude parameter range of adjacent cable modules when each same amplitude parameter of each cable module appears as an amplitude parameter interval to obtain multiple amplitude parameter interval sets; using the multiple same amplitude parameter sets and the multiple amplitude parameter interval sets to construct an adjacent amplitude interval mapping table; inputting the multiple maximum amplitude parameters into the adjacent amplitude interval mapping table to map and obtain multiple adjacent amplitude parameter intervals.

[0010] Preferably, the modular cable status perception method further includes: training a contact impact analyzer based on the cable joint vibration impact monitoring data in historical time; inputting the multiple vibration parameter sequences into the contact impact analyzer respectively, and predicting and outputting multiple contact impact parameters.

[0011] Preferably, the modular cable status perception method also includes: based on the cable joint vibration impact monitoring data in the historical time, collecting the sample amplitude parameter sequence combination, and collecting the cable joint contact resistance change after different sample amplitude parameter sequences as the sample contact impact parameter set; using the sample amplitude parameter sequence combination and the sample contact impact parameter set, using machine learning, performing supervised training of the contact impact analyzer and training until convergence, to obtain the contact impact analyzer.

[0012] Preferably, the modular cable status sensing method further includes: obtaining multiple contact resistances recently recorded by the multiple cable modules, combining the multiple contact influencing parameters, calculating multiple sensed contact resistances, and calculating multiple accumulated contact resistances according to the connection order of the multiple cable modules; obtaining preset electrical parameters of the multiple cable modules, combining the multiple accumulated contact resistances, calculating multiple predicted electrical parameters of the multiple cable modules; respectively calculating the cumulative deviation amplitudes of the multiple electrical parameter sequences and the multiple predicted electrical parameters, and calculating multiple electrical sensing accuracy parameters, as shown in the following formula: ;in, is the electrical perception accuracy parameter, N is the number of electrical parameters in the electrical parameter sequence, is the ith electrical parameter in the electrical parameter sequence, To predict electrical parameters; based on the multiple electrical perception accuracy parameters and the multiple vibration perception accuracy parameters, multiple perception accuracy parameters are calculated, and the cable status perception results are generated by combining the multiple vibration parameter sequences and the multiple electrical parameter sequences.

[0013] In a second aspect, the present invention provides a modular cable state perception system, comprising: a cable module monitoring unit, used to perform vibration monitoring and electrical monitoring on multiple connected cable modules, and obtain multiple vibration parameter sequences and multiple electrical parameter sequences; a vibration impact verification unit, used to perform vibration impact verification on adjacent cable modules according to the multiple vibration parameter sequences, and obtain multiple vibration perception accuracy parameters; a contact impact analysis unit, used to perform contact impact analysis on the multiple cable modules according to the multiple vibration parameter sequences, and obtain multiple contact impact parameters; a state perception result generation unit, used to perform electrical impact verification according to the multiple electrical parameter sequences and multiple contact impact parameters, and obtain multiple electrical perception accuracy parameters, and calculate and obtain multiple perception accuracy parameters in combination with the multiple vibration perception accuracy parameters to generate a state perception result.

[0014] The beneficial effects of the present invention are as follows: by performing vibration monitoring and electrical monitoring on multiple connected cable modules, multiple vibration parameter sequences and multiple electrical parameter sequences are obtained; then, the vibration impact verification of adjacent cable modules is performed according to the multiple vibration parameter sequences to obtain multiple vibration perception accuracy parameters; on the other hand, according to the multiple vibration parameter sequences, the contact impact analysis of the multiple cable modules is performed to obtain multiple contact impact parameters; further, according to the multiple electrical parameter sequences and multiple contact impact parameters, the electrical impact verification is performed to obtain multiple electrical perception accuracy parameters; finally, according to the multiple electrical perception accuracy parameters and multiple vibration perception accuracy parameters, multiple perception accuracy parameters are calculated and obtained, and the cable status perception results are generated by combining the multiple vibration parameter sequences and multiple electrical parameter sequences. In other words, by combining multi-dimensional monitoring data and using a fusion algorithm to evaluate the accuracy of the monitoring results, the rationality of vibration and electrical data can be verified in real time, and comprehensive and accurate cable status perception can be achieved, providing a reliable reference basis for subsequent cable maintenance, thereby improving the safety and stability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a flow chart of a modular cable status sensing method provided by the present invention;

[0016] Figure 2 A schematic structural diagram of a modular cable status sensing system provided by the present invention.

[0017] In the accompanying drawings, the components represented by the reference numerals are described as follows:

[0018] Cable module monitoring unit 11, vibration impact verification unit 12, contact impact analysis unit 13, state perception result generation unit 14. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0021] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0022] Embodiment 1, as Figure 1 As shown, an embodiment of the present invention provides a modular cable status sensing method, which specifically includes the following steps:

[0023] S100: Perform vibration monitoring and electrical monitoring on multiple connected cable modules to obtain multiple vibration parameter sequences and multiple electrical parameter sequences.

[0024] Furthermore, step S100 of the present invention further includes:

[0025] S110: Divide multiple cable segments connected by cable connectors to obtain multiple cable modules; S120: Monitor and obtain vibration parameters and electrical parameters within a recent preset time range through vibration sensors and electrical sensors arranged on the multiple cable modules; S130: Arrange the monitored vibration parameters and electrical parameters in chronological order to obtain multiple vibration parameter sequences and multiple electrical parameter sequences.

[0026] Specifically, first, according to the location of the cable connector and the structural characteristics of the cable, the cable system is divided into multiple cable modules as needed. Each module corresponds to an independent cable connection part with a clear monitoring boundary. Among them, each cable module can be monitored in real time by deploying multiple sensors (such as vibration sensors, electrical sensors) on it to ensure that the status information of the module can be accurately obtained.

[0027] Next, the vibration parameters of the multiple cable modules within the most recent preset time range (such as the last 10 minutes) are monitored by the vibration sensors installed on the multiple cable modules, and the vibration parameters include amplitude, etc.; the electrical parameters of the multiple cable modules within the most recent preset time range (such as the last 10 minutes) are monitored in real time by the electrical sensors installed on the multiple cable modules, and the electrical parameters include resistance, etc. Then, according to the monitored timestamps, the monitored vibration parameters and electrical parameters are arranged from early to late in the order of monitoring, and multiple vibration parameter sequences and multiple electrical parameter sequences are obtained, wherein each vibration parameter sequence represents the vibration state of the cable module within a specific time period, and each electrical parameter sequence represents the electrical performance of the cable module within a specific time period. Through the collection of vibration and electrical data of multiple cable modules, the health status of the cable can be monitored comprehensively and in real time, and changes in the cable status can be identified.

[0028] S200: Verifying the vibration impact of adjacent cable modules according to the multiple vibration parameter sequences to obtain multiple vibration perception accuracy parameters.

[0029] Furthermore, step S200 of the present invention further includes:

[0030] S210: extracting amplitude parameters in the plurality of vibration parameter sequences to obtain a plurality of amplitude parameter arrays; S220: extracting maximum amplitude parameters in the plurality of amplitude parameter arrays to obtain a plurality of maximum amplitude parameters.

[0031] Specifically, extract the multiple amplitude parameters of the multiple cable modules under the same monitoring timestamp of the multiple vibration parameter sequences, and arrange the multiple amplitude parameters under the same monitoring timestamp according to the position coordinates of the cable module, that is, for the multiple amplitude parameters collected under the same timestamp, they need to be arranged according to the physical position coordinates of the cable module, because the position of the cable module in the physical space will have different effects on the propagation of the vibration impact; then combine the multiple amplitude parameters arranged according to the position coordinates to form an amplitude parameter array, each amplitude parameter array contains the amplitude information of multiple cable modules under the same timestamp, for a given monitoring timestamp, the array composed of the amplitude parameters of the cable modules can fully reflect the vibration state of each cable module at that moment, and use the same method to obtain multiple amplitude parameter arrays under multiple monitoring timestamps in turn. Then extract the maximum amplitude parameter of each amplitude parameter array in the multiple amplitude parameter arrays, which represents the module with the largest vibration intensity among all cable modules under the timestamp, and obtain multiple maximum amplitude parameters.

[0032] S230: According to the multiple maximum amplitude parameters, amplitude parameter mapping of adjacent cables is performed to obtain multiple adjacent amplitude parameter intervals.

[0033] Further, step S230 of the present invention further includes:

[0034] S231: Acquire the vibration monitoring data of the multiple cable modules in the historical time, and extract multiple historical amplitude parameter sets of the multiple cable modules; S232: Cluster the same historical amplitude parameters of the same cable module in the multiple historical amplitude parameter sets to obtain multiple same amplitude parameter sets; S233: Extract the amplitude parameter range of the adjacent cable modules when each same amplitude parameter of each cable module appears as the amplitude parameter interval, and obtain multiple amplitude parameter interval sets; S234: Use the multiple same amplitude parameter sets and the multiple amplitude parameter interval sets to construct an adjacent amplitude interval mapping table; S235: Input the multiple maximum amplitude parameters into the adjacent amplitude interval mapping table, and map to obtain multiple adjacent amplitude parameter intervals.

[0035] Specifically, first, the vibration monitoring data of the multiple cable modules in the historical time (such as the last six months) are obtained, and these historical data include all vibration parameters in the past time period; then, the parameters related to the amplitude are extracted from the historical vibration monitoring data to obtain multiple historical amplitude parameter sets of the multiple cable modules, and each historical amplitude parameter set represents the amplitude change of a specific cable module in the historical time. Then, the same historical amplitude parameters of the same cable modules in the multiple historical amplitude parameter sets are clustered, that is, the same historical amplitude parameters of the same cable modules are grouped together and set as the same amplitude parameters, and multiple same amplitude parameter sets are obtained, each of which contains multiple same amplitude parameters of a specific cable module in the historical time period.

[0036] Then, multiple adjacent amplitude parameters of adjacent cable modules are extracted when each identical amplitude parameter of each cable module appears, and the minimum adjacent amplitude parameter and the maximum adjacent amplitude parameter among the multiple adjacent amplitude parameters are extracted. The amplitude parameter range is set according to the minimum adjacent amplitude parameter and the maximum adjacent amplitude parameter as the amplitude parameter interval, and multiple amplitude parameter interval sets of multiple cable modules are analyzed in sequence. Then, the adjacent amplitude interval mapping table is constructed using the multiple identical amplitude parameter sets and the multiple amplitude parameter interval sets. The main purpose of the mapping table is to find and map the amplitude parameter interval of the adjacent cable modules related to the amplitude parameter of a specific cable module, wherein each identical amplitude parameter set contains the monitoring data of multiple cable modules under the same amplitude condition. By matching with multiple amplitude parameter interval sets, the amplitude intervals of these parameters adjacent in time and space are found. For example, if the amplitude parameter of a cable module is the maximum amplitude parameter, the mapping table will help find the amplitude interval range of the maximum amplitude parameter in the adjacent cable modules. Finally, the multiple maximum amplitude parameters are input into the adjacent amplitude interval mapping table for mapping and matching. Each maximum amplitude parameter will be mapped to the amplitude interval of the adjacent cable module according to its association with the adjacent cable module, and multiple adjacent amplitude parameter intervals are obtained. For example, if the maximum amplitude parameter of a cable module is A, then the adjacent amplitude parameter interval range related to A is found through the mapping table. In this way, the relationship between the amplitude parameters of each cable module can be accurately reflected, and the overall consistency of the cable module status perception can be guaranteed.

[0037] By constructing a mapping table of adjacent amplitude intervals, the vibration information between multiple cable modules in the cable system can be effectively integrated, and the relationship between each amplitude parameter and the vibration behavior of its adjacent modules can be clarified, thereby obtaining more accurate vibration state perception.

[0038] S240: Retrieve multiple groups of adjacent maximum amplitude parameters of cable modules adjacent to each cable module, calculate the deviation amplitude from the corresponding adjacent amplitude parameter interval, and calculate and obtain multiple vibration perception accuracy parameters, wherein the deviation amplitude is negatively correlated with the vibration perception accuracy parameter.

[0039] Specifically, multiple groups of adjacent maximum amplitude parameters of the cable modules adjacent to each cable module are retrieved, and the adjacent amplitude parameter interval corresponding to the cable module is obtained; then for each group of adjacent amplitude parameters, the deviation amplitude between it and the corresponding adjacent amplitude parameter interval is calculated. The deviation amplitude refers to the ratio of the absolute value of the difference between each group of adjacent amplitude parameters and the middle value of the adjacent amplitude parameter interval to the middle value of the adjacent amplitude parameter interval. For example, assuming that the adjacent amplitude parameter is 0.8 mm; the adjacent amplitude parameter interval is 0.6 mm to 1.4 mm; the middle value of the adjacent amplitude parameter interval is 1 mm, then the deviation amplitude is (1-0.8) / 1, which is equal to 0.2, that is, 20%; multiple deviation amplitudes of multiple cable modules are obtained, and 1 is used to subtract multiple deviation amplitudes respectively, and the difference between the two is used as the vibration perception accuracy parameter to obtain multiple vibration perception accuracy parameters of multiple cable modules. These vibration perception accuracy parameters provide a reliable reference basis for subsequent cable status perception and maintenance, and can accurately reflect the reliability of the vibration monitoring results of each cable module.

[0040] S300: performing contact influence analysis on the plurality of cable modules according to the plurality of vibration parameter sequences to obtain a plurality of contact influence parameters.

[0041] Furthermore, step S300 of the present invention further includes:

[0042] S310: Training a contact impact analyzer based on the cable joint vibration impact monitoring data in historical time.

[0043] Furthermore, step S310 of the present invention further includes:

[0044] S311: Based on the cable joint vibration impact monitoring data in the historical time, collect the sample amplitude parameter sequence combination, and collect the cable joint contact resistance change after different sample amplitude parameter sequences as the sample contact impact parameter set; S312: Using the sample amplitude parameter sequence combination and the sample contact impact parameter set, use machine learning to perform supervised training of the contact impact analyzer and train until convergence to obtain the contact impact analyzer.

[0045] Specifically, cable joints are usually connected by bolts, welding, etc., but in long-term operation, vibrations will cause mechanical fatigue and displacement, which will lead to loosening of the cable joints; after the cable joints are loosened, the contact pressure between the contact surfaces decreases, resulting in incomplete contact of the contact surfaces. In this way, the path of current through the joints will be hindered, and the contact resistance will increase accordingly, which means that the resistance to current flowing through the joints increases, causing energy loss and temperature rise.

[0046] First, based on the cable joint vibration impact monitoring data in the historical time (such as the last month), the amplitude parameter sequences of multiple sample cable modules are collected. These amplitude parameters reflect the vibration of the cable joint in different time periods, and the sample amplitude parameter sequence combination is obtained. Next, the change in the contact resistance of the cable joint after different sample amplitude parameter sequences is collected and set as the sample contact impact parameter, that is, after each sample amplitude parameter sequence, the contact resistance change of the cable joint is recorded. The change in contact resistance is due to the poor contact of the cable joint caused by vibration, which in turn affects the electrical transmission performance. The change in contact resistance can be obtained by actually measuring electrical parameters (such as current, voltage) and contact resistance sensors; a set of sample contact impact parameters is obtained, in which the sample amplitude parameter sequence and the sample contact impact parameter correspond one to one.

[0047] Next, a contact impact analyzer is constructed based on machine learning, for example, a contact impact analyzer is constructed based on a BP neural network, wherein the contact impact analyzer is a BP neural network model that can be iteratively optimized in machine learning, including an input layer, multiple hidden layers and an output layer, wherein the input data of the input layer is an amplitude parameter sequence, and the output data of the output layer is a contact impact parameter. Then, the sample amplitude parameter sequence is used as input, the sample contact influence parameter is used as supervision, and the combination of the sample amplitude parameter sequence and the sample contact influence parameter set is used as training data to perform supervised training on the contact influence analyzer. During the training process, first, the weights and biases of the neural network are randomly initialized, and smaller random values ​​are usually used to avoid the network from being overly dependent on the initial conditions; then, each set of sample amplitude parameter sequences is input into the input layer of the neural network. For each hidden layer, the input data is multiplied by the weight matrix, the bias is added, and it is passed to the next layer after an activation function (such as ReLU), and the output of the hidden layer is passed to the output layer to obtain the predicted contact influence parameters (the change in contact resistance); then the predicted contact influence parameters are compared with the actual contact influence parameters, and the loss function is calculated. Usually, the mean square error is used as the loss function. The loss function measures the prediction accuracy of the model. The smaller the value, the better the model prediction effect. The chain rule is further used to calculate the gradient of each network weight and bias. The back propagation algorithm calculates the gradient based on the partial derivative of the loss function with respect to each weight and bias, and propagates from the output layer to the input layer. Based on the calculated gradient, an optimization algorithm (such as gradient descent or Adam optimizer) is used to update the weights and biases of the neural network. The entire process is trained through multiple iterations. Each iteration gradually optimizes the model through the process of forward propagation, loss calculation, back propagation, and parameter update until the loss function converges and a trained contact impact analyzer is obtained.

[0048] Through multiple iterative trainings, the predictive capability of the contact impact analyzer is gradually optimized, enabling it to accurately predict the contact resistance changes caused by vibration and provide a reliable reference for cable maintenance.

[0049] S320: Input the multiple vibration parameter sequences into the contact influence analyzer respectively, and predict and output multiple contact influence parameters.

[0050] Specifically, the multiple vibration parameter sequences are finally input into the contact impact analyzer for prediction. The input vibration parameter sequences will pass through each layer of the neural network, and after weighted summation, activation function processing, etc., they will be transmitted layer by layer, and finally the contact impact parameters will be output. The contact impact parameters are the contact resistance changes predicted based on the input vibration data, and multiple contact impact parameters are obtained.

[0051] S400: Perform electrical influence verification according to the multiple electrical parameter sequences and the multiple contact influence parameters to obtain multiple electrical perception accuracy parameters, and calculate and obtain multiple perception accuracy parameters in combination with the multiple vibration perception accuracy parameters to generate a state perception result.

[0052] Furthermore, step S400 of the present invention further includes:

[0053] S410: Obtain the multiple contact resistances recently recorded by the multiple cable modules, combine the multiple contact influencing parameters, calculate and obtain multiple perceived contact resistances, and calculate and obtain multiple accumulated contact resistances according to the connection order of the multiple cable modules; S420: Obtain the preset electrical parameters of the multiple cable modules, and calculate and obtain multiple predicted electrical parameters of the multiple cable modules in combination with the multiple accumulated contact resistances; S430: Calculate the cumulative deviation amplitudes of the multiple electrical parameter sequences and the multiple predicted electrical parameters respectively, and calculate and obtain multiple electrical perception accuracy parameters, as shown in the following formula: ;in, is the electrical perception accuracy parameter, N is the number of electrical parameters in the electrical parameter sequence, is the ith electrical parameter in the electrical parameter sequence, To predict electrical parameters; S440: Calculate and obtain multiple perception accuracy parameters based on the multiple electrical perception accuracy parameters and the multiple vibration perception accuracy parameters, and generate cable status perception results by combining the multiple vibration parameter sequences and the multiple electrical parameter sequences.

[0054] Specifically, first, obtain the multiple contact resistances recently recorded by the multiple cable modules, that is, obtain the recently recorded contact resistance of each cable module, and these contact resistance values ​​are usually obtained based on historical monitoring data or real-time sensing systems; then map and add the multiple contact resistances and multiple contact influence parameters, that is, add and sum the contact resistance and contact influence parameters of each cable module, and use the sum of the two as the sensed contact resistance to obtain multiple sensed contact resistances. Then calculate the cumulative contact resistance of each cable module, which reflects the cumulative contact resistance influence of the electrical signal when passing through multiple cable modules. The first cable module is only affected by its own contact resistance, and the second cable module is affected by the contact resistance of the first cable module in addition to its own contact resistance, and so on. That is, according to the order of each cable module, the contact resistances of all the previously connected cable modules are cumulatively added and summed as the cumulative contact resistance of the cable module; multiple cumulative contact resistances of multiple cable modules are calculated in sequence.

[0055] Next, the preset electrical parameters of the multiple cable modules are obtained. The preset electrical parameters are usually set during cable installation and debugging, and represent the electrical transmission capacity of the cable under ideal conditions, such as standard voltage and standard current, and the standard resistance is calculated based on the standard voltage and standard current; then the preset electrical parameters (standard resistance) are added and summed with the multiple accumulated contact resistances respectively, and the sum of the two is used as the predicted electrical parameters, and multiple predicted electrical parameters of the multiple cable modules are calculated.

[0056] Then construct the electrical perception accuracy calculation formula. In the electrical perception accuracy calculation formula, is the electrical perception accuracy parameter, which represents the accuracy of the electrical monitoring data. The larger the electrical perception accuracy parameter is, the higher the accuracy of the electrical monitoring data is. N is the number of electrical parameters in the electrical parameter sequence. is the ith electrical parameter in the electrical parameter sequence, To predict electrical parameters. By constructing an electrical perception accuracy calculation formula, the efficiency and accuracy of the electrical monitoring data accuracy assessment can be improved, and a precise assessment of the electrical parameter accuracy can be achieved. Further using the electrical perception accuracy calculation formula, multiple electrical perception accuracy parameters are calculated based on the multiple electrical parameter sequences and the multiple predicted electrical parameters.

[0057] Then, according to the multiple electrical perception accuracy parameters and the multiple vibration perception accuracy parameters, the electrical perception accuracy parameters and the vibration perception accuracy parameters of the same cable module are averaged, and the average calculation result is used as the perception accuracy parameter to calculate multiple perception accuracy parameters of multiple cable modules. Finally, the multiple perception accuracy parameters, the multiple vibration parameter sequences, and the multiple electrical parameter sequences are used as the cable status perception results for subsequent cable status analysis and maintenance decisions.

[0058] By combining multiple perception accuracy parameters, multiple vibration parameter sequences, and multiple electrical parameter sequences, you can accurately assess the status of each cable module; this result provides strong data support for power system operation and maintenance decisions, and can be used to determine whether the cable needs maintenance, repair, or replacement, and how to optimize the operation and management of the power system.

[0059] A modular cable status sensing method provided by an embodiment of the present invention has at least the following technical effects:

[0060] By performing vibration monitoring and electrical monitoring on the connected multiple cable modules, multiple vibration parameter sequences and multiple electrical parameter sequences are obtained; then, the vibration impact of adjacent cable modules is verified according to the multiple vibration parameter sequences to obtain multiple vibration perception accuracy parameters; on the other hand, according to the multiple vibration parameter sequences, the contact impact analysis of the multiple cable modules is performed to obtain multiple contact impact parameters; further, according to the multiple electrical parameter sequences and multiple contact impact parameters, the electrical impact verification is performed to obtain multiple electrical perception accuracy parameters; finally, according to the multiple electrical perception accuracy parameters and multiple vibration perception accuracy parameters, multiple perception accuracy parameters are calculated and obtained, and the cable status perception results are generated by combining the multiple vibration parameter sequences and multiple electrical parameter sequences. In other words, by combining multi-dimensional monitoring data and using a fusion algorithm to evaluate the accuracy of the monitoring results, the rationality of vibration and electrical data can be verified in real time, and comprehensive and accurate cable status perception can be achieved, providing a reliable reference basis for subsequent cable maintenance, thereby improving the safety and stability of the power system.

[0061] Embodiment 2, as Figure 2As shown, based on the same inventive concept as a modular cable status sensing method provided in Example 1, an embodiment of the present invention further provides a modular cable status sensing system, including: a cable module monitoring unit 11, used to perform vibration monitoring and electrical monitoring on multiple connected cable modules, and obtain multiple vibration parameter sequences and multiple electrical parameter sequences; a vibration impact verification unit 12, used to perform vibration impact verification on adjacent cable modules according to the multiple vibration parameter sequences, and obtain multiple vibration perception accuracy parameters; a contact impact analysis unit 13, used to perform contact impact analysis on the multiple cable modules according to the multiple vibration parameter sequences, and obtain multiple contact impact parameters; a status perception result generation unit 14, used to perform electrical impact verification according to the multiple electrical parameter sequences and multiple contact impact parameters, and obtain multiple electrical perception accuracy parameters, and calculate and obtain multiple perception accuracy parameters in combination with the multiple vibration perception accuracy parameters to generate a status perception result.

[0062] Furthermore, the modular cable status sensing system is also used to: divide multiple cable segments connected by cable connectors to obtain multiple cable modules; monitor and obtain vibration parameters and electrical parameters within a recent preset time range by means of vibration sensors and electrical sensors arranged on the multiple cable modules; arrange the monitored vibration parameters and electrical parameters in chronological order to obtain multiple vibration parameter sequences and multiple electrical parameter sequences.

[0063] Furthermore, the modular cable status sensing system is also used to: extract the amplitude parameters within the multiple vibration parameter sequences to obtain multiple amplitude parameter arrays; extract the maximum amplitude parameters within the multiple amplitude parameter arrays to obtain multiple maximum amplitude parameters; perform amplitude parameter mapping of adjacent cables based on the multiple maximum amplitude parameters to obtain multiple adjacent amplitude parameter intervals; retrieve multiple groups of adjacent maximum amplitude parameters of cable modules adjacent to each cable module, calculate the deviation amplitude from the corresponding adjacent amplitude parameter intervals, and calculate to obtain multiple vibration perception accuracy parameters, wherein the deviation amplitude is negatively correlated with the vibration perception accuracy parameter.

[0064] Furthermore, the modular cable status sensing system is also used to: obtain vibration monitoring data of the multiple cable modules within a historical period, and extract multiple historical amplitude parameter sets of the multiple cable modules; cluster the same historical amplitude parameters of the same cable modules in the multiple historical amplitude parameter sets to obtain multiple same amplitude parameter sets; extract the amplitude parameter range of adjacent cable modules when each same amplitude parameter of each cable module appears as an amplitude parameter interval to obtain multiple amplitude parameter interval sets; use the multiple same amplitude parameter sets and multiple amplitude parameter interval sets to construct an adjacent amplitude interval mapping table; input the multiple maximum amplitude parameters into the adjacent amplitude interval mapping table to map and obtain multiple adjacent amplitude parameter intervals.

[0065] Furthermore, the modular cable status perception system is also used to: train a contact impact analyzer based on the cable joint vibration impact monitoring data in historical time; input the multiple vibration parameter sequences into the contact impact analyzer respectively, and predict and output multiple contact impact parameters.

[0066] Furthermore, the modular cable state perception system is also used to: collect sample amplitude parameter sequence combinations based on cable joint vibration impact monitoring data in historical time, and collect the change in cable joint contact resistance after different sample amplitude parameter sequences as a sample contact impact parameter set; use the sample amplitude parameter sequence combination and the sample contact impact parameter set, use machine learning, perform supervised training of the contact impact analyzer and train until convergence to obtain a contact impact analyzer.

[0067] Furthermore, the modular cable status sensing system is also used to: obtain the multiple contact resistances recently recorded by the multiple cable modules, calculate and obtain multiple sensed contact resistances in combination with the multiple contact influencing parameters, and calculate and obtain multiple accumulated contact resistances according to the connection order of the multiple cable modules; obtain the preset electrical parameters of the multiple cable modules, calculate and obtain multiple predicted electrical parameters of the multiple cable modules in combination with the multiple accumulated contact resistances; respectively calculate the cumulative deviation amplitudes of the multiple electrical parameter sequences and the multiple predicted electrical parameters, and calculate and obtain multiple electrical sensing accuracy parameters, as shown in the following formula: ;in, is the electrical perception accuracy parameter, N is the number of electrical parameters in the electrical parameter sequence, is the ith electrical parameter in the electrical parameter sequence, To predict electrical parameters; based on the multiple electrical perception accuracy parameters and the multiple vibration perception accuracy parameters, multiple perception accuracy parameters are calculated, and the cable status perception results are generated by combining the multiple vibration parameter sequences and the multiple electrical parameter sequences.

[0068] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0069] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. A modular cable status sensing method, characterized in that the method include: Perform vibration monitoring and electrical monitoring on multiple connected cable modules to obtain multiple vibration parameter sequences and multiple electrical parameter sequences; Verify the vibration impact of adjacent cable modules according to the plurality of vibration parameter sequences to obtain a plurality of vibration perception accuracy parameters; performing contact influence analysis of the plurality of cable modules according to the plurality of vibration parameter sequences to obtain a plurality of contact influence parameters; According to the multiple electrical parameter sequences and the multiple contact influence parameters, electrical influence verification is performed to obtain multiple electrical perception accuracy parameters, and the multiple perception accuracy parameters are calculated and obtained in combination with the multiple vibration perception accuracy parameters to generate a state perception result.

2. The modular cable status sensing method according to claim 1, characterized in that: Vibration monitoring and electrical monitoring of multiple cable modules connected, including: Dividing a plurality of cable segments connected by cable connectors to obtain a plurality of cable modules; Vibration sensors and electrical sensors arranged on the plurality of cable modules are used to monitor and obtain vibration parameters and electrical parameters within a recent preset time range; The monitored vibration parameters and electrical parameters are arranged in chronological order to obtain a plurality of vibration parameter sequences and a plurality of electrical parameter sequences.

3. The modular cable status sensing method according to claim 1, characterized in that: The vibration impact verification of adjacent cable modules is performed according to the multiple vibration parameter sequences to obtain multiple vibration perception accuracy parameters, including: Extracting amplitude parameters from the plurality of vibration parameter sequences to obtain a plurality of amplitude parameter arrays; Extracting the maximum amplitude parameter in the plurality of amplitude parameter arrays to obtain a plurality of maximum amplitude parameters; According to the multiple maximum amplitude parameters, amplitude parameter mapping of adjacent cables is performed to obtain multiple adjacent amplitude parameter intervals; Retrieve multiple groups of adjacent maximum amplitude parameters of cable modules adjacent to each cable module, calculate the deviation amplitude from the corresponding adjacent amplitude parameter interval, and calculate and obtain multiple vibration perception accuracy parameters, wherein the deviation amplitude is negatively correlated with the vibration perception accuracy parameter.

4. The modular cable status sensing method according to claim 3, characterized in that: According to the multiple maximum amplitude parameters, amplitude parameter mapping of adjacent cables is performed to obtain multiple adjacent amplitude parameter intervals, including: Acquire vibration monitoring data of the plurality of cable modules in historical time, and extract a plurality of historical amplitude parameter sets of the plurality of cable modules; Clustering the same historical amplitude parameters of the same cable module in the multiple historical amplitude parameter sets to obtain multiple same amplitude parameter sets; Extracting the amplitude parameter range of adjacent cable modules when each identical amplitude parameter of each cable module appears as an amplitude parameter interval, and obtaining a plurality of amplitude parameter interval sets; Using the multiple identical amplitude parameter sets and the multiple amplitude parameter interval sets, construct an adjacent amplitude interval mapping table; The multiple maximum amplitude parameters are input into the adjacent amplitude interval mapping table, and multiple adjacent amplitude parameter intervals are obtained by mapping.

5. The modular cable status sensing method according to claim 1, characterized in that: According to the multiple vibration parameter sequences, contact influence analysis of the multiple cable modules is performed to obtain multiple contact influence parameters, including: Training the contact impact analyzer based on the cable joint vibration impact monitoring data in historical time; The multiple vibration parameter sequences are respectively input into the contact influence analyzer, and a plurality of contact influence parameters are obtained by prediction output.

6. The modular cable status sensing method according to claim 5, characterized in that: The contact impact analyzer is trained based on the historical cable joint vibration impact monitoring data, including: According to the cable joint vibration impact monitoring data in the historical time, the sample amplitude parameter sequence is collected and combined, and the cable joint contact resistance change after different sample amplitude parameter sequences is collected as the sample contact impact parameter set; The sample amplitude parameter sequence is combined with the sample contact influence parameter set, and machine learning is used to perform supervised training of the contact influence analyzer and train until convergence to obtain the contact influence analyzer.

7. The modular cable status sensing method according to claim 1, characterized in that: According to the multiple electrical parameter sequences and the multiple contact influence parameters, electrical influence verification is performed to obtain multiple electrical perception accuracy parameters, and multiple perception accuracy parameters are calculated and obtained in combination with the multiple vibration perception accuracy parameters to generate a state perception result, including: Acquire multiple contact resistances recently recorded by the multiple cable modules, calculate multiple sensed contact resistances in combination with the multiple contact influencing parameters, and calculate multiple accumulated contact resistances according to the connection sequence of the multiple cable modules; Acquire preset electrical parameters of the plurality of cable modules, and calculate and obtain a plurality of predicted electrical parameters of the plurality of cable modules in combination with the plurality of accumulated contact resistances; The accumulated deviations between the plurality of electrical parameter sequences and the plurality of predicted electrical parameters are calculated respectively, and a plurality of electrical perception accuracy parameters are obtained by calculation, as shown in the following formula: ； in, is the electrical perception accuracy parameter, N is the number of electrical parameters in the electrical parameter sequence, is the ith electrical parameter in the electrical parameter sequence, To predict electrical parameters; Based on the multiple electrical perception accuracy parameters and the multiple vibration perception accuracy parameters, multiple perception accuracy parameters are calculated and obtained, and the cable status perception results are generated by combining the multiple vibration parameter sequences and the multiple electrical parameter sequences.

8. A modular cable status sensing system, characterized in that: The steps for implementing a modular cable status sensing method as described in any one of claims 1 to 7 include: The cable module monitoring unit is used to perform vibration monitoring and electrical monitoring on multiple connected cable modules to obtain multiple vibration parameter sequences and multiple electrical parameter sequences; A vibration impact verification unit, configured to verify the vibration impact of adjacent cable modules according to the plurality of vibration parameter sequences, and obtain a plurality of vibration perception accuracy parameters; A contact influence analysis unit, configured to perform contact influence analysis on the plurality of cable modules according to the plurality of vibration parameter sequences to obtain a plurality of contact influence parameters; The state perception result generating unit is used to perform electrical influence verification according to the multiple electrical parameter sequences and the multiple contact influence parameters, obtain multiple electrical perception accuracy parameters, combine the multiple vibration perception accuracy parameters, calculate and obtain multiple perception accuracy parameters, and generate state perception results.

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