A method for monitoring and analyzing the simulated condition of high-voltage cables subjected to moisture

Abstract

The present invention relates to the technical field of high-voltage cable moisture simulation state monitoring, and specifically discloses a high-voltage cable moisture simulation state monitoring and analysis method, the method comprising: insulation shell information collection and analysis, conductor information collection and analysis, conductive information collection and analysis, and comprehensive moisture resistance performance evaluation; the present invention analyzes the comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch from three levels: the insulation shell level, the conductor level, and the conductive level, and provides feedback, thereby achieving multi-faceted and multi-dimensional evaluation of the moisture resistance of the high-voltage cable, and simultaneously achieving real-time monitoring and prediction of the status of the high-voltage cable in a damp environment, thereby more accurately understanding the moisture resistance performance status of the high-voltage cable, improving the stability and reliability of the power system operation, and improving the timeliness of discovering unqualified moisture resistance performance of the high-voltage cable, solving potential safety hazards, and extending the service life of the cable.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage cable moisture simulation state monitoring, and in particular to a high-voltage cable moisture simulation state monitoring and analysis method. Background Art

[0002] High-voltage cables are widely used in the field of power transmission. Their operating status is directly related to the stability and safety of the power system. Moisture is one of the main reasons for the performance degradation of high-voltage cables. Therefore, the importance of monitoring and analyzing the simulated moisture status of high-voltage cables is self-evident.

[0003] The existing monitoring and analysis methods for the simulated moisture state of high-voltage cables still have the following problems:

[0004] 1. At the conductor level, currently only the deformation and corrosion of the high-voltage cable insulation shell are analyzed, and the deformation and corrosion of the internal conductor of the high-voltage cable in a humid environment are not analyzed, which reduces the coverage of the high-voltage cable moisture resistance evaluation. It is impossible to avoid the impact of the deformation and corrosion of the high-voltage cable conductor on its electrical performance. It is impossible to evaluate the moisture resistance of the high-voltage cable from multiple aspects and dimensions, and thus it is impossible to ensure the safe operation of the cable. At the same time, the moisture resistance of the conductor is reduced, shortening the service life of the cable.

[0005] 2. For the conductive layer, currently only the voltage stability of the high-voltage cable is monitored, and the information transmission performance of the high-voltage cable is not analyzed. There is a lack of effective data analysis methods, and only a single analysis is performed, which reduces the accuracy of the moisture resistance performance evaluation and analysis of the conductive layer of the high-voltage cable, cannot guarantee the stability of information transmission, reduces the reliability of information transmission, and cannot ensure the security of information transmission. Summary of the Invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a method for monitoring and analyzing the simulated condition of a high-voltage cable under moisture conditions is proposed.

[0007] The object of the present invention can be achieved by the following technical solution: The present invention provides a method for monitoring and analyzing the simulated moisture state of a high-voltage cable, comprising the following steps: S1, collecting and analyzing insulation shell information: randomly selecting a number of high-voltage cable segments from the current production batch of a target production plant and recording them as target cable segments, adjusting the humidity of the test environment to a specified humidity, collecting moisture state information of the insulation shell of each target cable segment in the test environment, and analyzing the moisture resistance performance evaluation index χ corresponding to the insulation shell layer of each target cable segment. r , where r represents the number of the target cable segment, r = 1, 2, ..., g.

[0008] S2. Conductor information collection and analysis: Collect images of the conductors of each target cable segment in the test environment, obtain the contour image and grayscale image corresponding to the conductor of each target cable segment, and analyze the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment

[0009] S3. Conductive information collection and analysis: Extract the length of the target cable segment and the temperature of the test environment, collect the voltage of each target cable segment at each monitoring point, simulate the signal transmission of each target cable segment in the test environment, collect the time points corresponding to the test signal sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signal received by each signal receiving end, and analyze the moisture resistance performance evaluation index ξ of the conductive layer corresponding to each target cable segment r .

[0010] S4. Comprehensive moisture resistance performance evaluation: Analyze the comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch. When it is less than the set value, it indicates that the moisture resistance performance of the high-voltage cable segment in the current production batch is unqualified, and feedback is provided.

[0011] Specifically, the moisture state information includes the number of swollen parts of the outer skin, the swollen volume of each swollen part of the outer skin, the number of cracks, and the length of each crack.

[0012] Specifically, the moisture resistance performance evaluation index of the insulation shell layer corresponding to each target cable segment is analyzed, and the specific analysis process is as follows: A1, extracting the number of outer skin expansion points, the expansion volume of each outer skin expansion point, and the number of cracks and the crack length of each crack point from the moisture state information of the insulation shell of each target cable segment in the test environment.

[0013] A2. Calculate the expansion degree of the insulation shell of each target cable segment based on the number of expansion points of the insulation shell of each target cable segment in the test environment and the expansion volume of each expansion point of the insulation shell.

[0014] A3. Calculate the cracking degree θ of the insulation shell of each target cable segment based on the number of cracks and the crack length of each crack in the insulation shell of each target cable segment in the test environment. r .

[0015] A4. Calculate the moisture resistance performance evaluation index of the insulation shell layer corresponding to each target cable segment in, and θ represent the set reference insulation shell expansion degree and insulation shell cracking degree, respectively. a1 and a2 represent the set insulation shell expansion degree and insulation shell cracking degree corresponding to the moisture resistance performance evaluation weight of the insulation shell level.

[0016] Specifically, the expansion degree of the insulation shell of each target cable segment is calculated as follows: B1, the number of expansion points of the insulation shell of each target cable segment in the test environment is recorded as β r .

[0017] B2. Accumulate the expansion volume of each target cable segment's insulation shell at each expansion location in the test environment to obtain the total expansion volume of the insulation shell of each target cable segment in the test environment, denoted as V r .

[0018] B3. Calculate the insulation expansion of each target cable segment Among them, β′ and V′ respectively represent the number of expansion points and expansion volume of the outer skin of the set reference, and a3 and a4 respectively represent the weights of the insulation shell expansion evaluation corresponding to the number of expansion points and expansion volume of the set outer skin.

[0019] Specifically, the moisture resistance performance evaluation index of the conductor level corresponding to each target cable segment is analyzed. The specific analysis process is as follows: C1. Locate the contour volume corresponding to the conductor of each target cable segment from the contour image corresponding to the conductor of each target cable segment, and calculate the conductor deformation degree ρ of each target cable segment based on this. r .

[0020] C2. Calculate the conductor corrosion degree ω of each target cable segment based on the grayscale image corresponding to the conductor of each target cable segment. r .

[0021] C3. Calculate the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment Wherein, e represents a natural constant, ρ′ and ω′ represent the set reference conductor deformation and conductor corrosion, respectively, and a5 and a6 represent the weights of the moisture resistance performance assessment of the conductor level corresponding to the set conductor deformation and conductor corrosion, respectively.

[0022] Specifically, the calculation process of the conductor corrosion degree of each target cable segment is as follows: D1. Locate each grayscale value and the grayscale area corresponding to each grayscale value from the grayscale image corresponding to the conductor of each target cable segment.

[0023] D2. Compare each grayscale value in the grayscale image corresponding to the conductor of each target cable segment with the set of rust grayscale values ​​stored in the cloud database. If a grayscale value is within the set of rust grayscale values, the grayscale area corresponding to the grayscale value is recorded as the rust area. Count the number of rust areas corresponding to the conductor of each target cable segment, and collect the area of ​​each rust area.

[0024] D3. The number of corroded areas corresponding to the conductor of each target cable segment is recorded as μ r .

[0025] D4. Accumulate the areas of the corroded regions corresponding to the conductors of each target cable segment to obtain the total corroded area corresponding to the conductors of each target cable segment, which is recorded as S r .

[0026] D5. Calculate the conductor corrosion degree ω of each target cable segment r , Among them, μ′ and S′ represent the number and area of ​​the reference corrosion regions, respectively; a7 and a8 represent the weights of the conductor corrosion degree assessment corresponding to the number and area of ​​the reference corrosion regions, respectively.

[0027] Specifically, the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment is analyzed. The specific analysis process is as follows: E1. Based on the voltage of each target cable segment at each monitoring point, calculate the voltage stability γ of each target cable segment. r .

[0028] E2. Calculate the signal transmission performance stability φ of each target cable segment based on the time points corresponding to the test signals sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signals received by each signal receiving end. r .

[0029] E3. Calculate the moisture resistance performance evaluation index ξ of the conductive layer corresponding to each target cable segment r , Among them, δ′ and φ′ represent the set reference voltage stability and signal transmission performance stability, respectively, and b1 and b2 represent the weights of the moisture resistance evaluation of the conductive layer corresponding to the set voltage stability and signal transmission performance stability, respectively.

[0030] Specifically, the signal transmission performance stability of each target cable segment is calculated as follows: F1, the time point corresponding to the time when each signal transmitting end of each target cable segment sends the test signal is compared with the time point corresponding to the time when each signal receiving end receives the test signal, and the duration of each signal transmission of each target cable segment is obtained, which is recorded as T rj , where j represents the number of signal transmission, j = 1, 2, ..., m.

[0031] F2. Let the length of the target cable segment and the temperature of the test environment be L and W respectively.

[0032] F3, calculate the signal transmission impact factor λ of the target cable segment, Among them, L′, W′ and ΔW represent the set reference cable segment length, test environment temperature and test environment temperature deviation, respectively. b3 and b4 represent the weights of the signal transmission impact factor evaluation corresponding to the set cable segment length and test environment temperature deviation, respectively.

[0033] F4. Calculate the signal transmission performance stability of each target cable segment φ r , Wherein, T′ and ΔT represent the reference signal transmission duration and signal transmission duration deviation, respectively, and m represents the number of signal transmissions.

[0034] Specifically, the comprehensive moisture resistance performance evaluation index of the high-voltage cable segments in the current production batch is analyzed. The specific analysis process is as follows: G1. Calculate the moisture resistance performance evaluation index of each target cable segment Among them, b5, b6 and b7 represent the weights of the moisture resistance performance evaluation corresponding to the set insulation shell layer, conductor layer and conductive layer respectively.

[0035] G2. Compare the moisture resistance performance evaluation index of each target cable segment with the set reference moisture resistance performance evaluation index. If the moisture resistance performance evaluation index of a target cable segment is less than the set reference moisture resistance performance evaluation index, then the target cable segment is recorded as an abnormal cable segment, and the number of abnormal cable segments is counted and recorded as ε.

[0036] G3. Calculate the comprehensive moisture resistance performance evaluation index ψ of the high-voltage cable segment in the current production batch. Among them, K1 and They represent the set reference abnormal cable segment proportion and moisture resistance performance evaluation index respectively, b8 and b9 represent the set abnormal cable segment proportion and moisture resistance performance evaluation index corresponding to the comprehensive moisture resistance performance evaluation proportion weight respectively, and g represents the number of target cable segments.

[0037] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0038] (1) The present invention analyzes the comprehensive moisture resistance performance evaluation index of the high-voltage cable segments in the current production batch from three levels: the insulation shell level, the conductor level, and the conductive level, and provides feedback, thereby realizing real-time monitoring and prediction of the status of the high-voltage cable in a damp environment, thereby more accurately understanding the moisture resistance performance of the high-voltage cable, improving the stability and reliability of the power system operation, and at the same time improving the timeliness of discovering unqualified moisture resistance performance of the high-voltage cable, thereby solving potential safety hazards.

[0039] (2) The present invention analyzes the moisture resistance evaluation index of the conductor layer corresponding to each target cable segment by analyzing the conductor deformation and conductor corrosion, thereby improving the coverage of the moisture resistance evaluation of the high-voltage cable, avoiding the influence of the deformation and corrosion of the high-voltage cable conductor on its electrical performance to a certain extent, and realizing the multi-faceted and multi-dimensional evaluation of the moisture resistance of the high-voltage cable, thereby ensuring the safe operation of the cable and extending the service life of the cable.

[0040] (3) The present invention analyzes the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment by analyzing the voltage stability and signal transmission performance stability, and sets up a signal transmission simulation, thereby enriching the effective data analysis means, improving the accuracy of the moisture resistance performance evaluation analysis of the conductive layer corresponding to the high-voltage cable, ensuring the stability of information transmission, improving the reliability of information transmission, and ensuring the security of information transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0042] Figure 1 Schematic diagram of the process steps of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] See also Figure 1 As shown, the present invention provides a method for monitoring and analyzing the simulated state of a high-voltage cable subjected to moisture, comprising: S1, collecting and analyzing information on the insulation shell: randomly selecting a number of high-voltage cable segments from the current production batch of the target production plant and recording them as target cable segments, adjusting the humidity of the test environment to a specified humidity, collecting moisture state information of the insulation shell of each target cable segment in the test environment, and analyzing the moisture resistance performance evaluation index χ corresponding to the insulation shell layer of each target cable segment. r , where r represents the number of the target cable segment, r = 1, 2, ..., g.

[0045] It should be noted that the specified humidity refers to the tolerable humidity of the target cable segment. In a specific embodiment of the present invention, the specified humidity is 60%.

[0046] In a specific embodiment of the present invention, the moisture state information includes the number of expanded locations of the outer skin, the expanded volume of each expanded location of the outer skin, the number of cracks, and the length of each crack.

[0047] It should be noted that the number of outer skin expansion points and the number of cracks are obtained by locating the insulation shell of each target cable segment in the test environment in the image captured. The expansion volume of each outer skin expansion point is estimated by detecting the thickness of the cable insulation shell with an ultrasonic instrument. The crack length of each crack is obtained by collecting the data with a laser rangefinder.

[0048] In a specific embodiment of the present invention, the moisture resistance performance evaluation index of the insulation shell layer corresponding to each target cable segment is analyzed, and the specific analysis process is: A1, extracting the number of outer skin expansion points, the expansion volume of each outer skin expansion point, and the number of cracks and the crack length of each crack from the moisture status information of the insulation shell of each target cable segment in the test environment.

[0049] A2. Calculate the expansion degree of the insulation shell of each target cable segment based on the number of expansion points of the insulation shell of each target cable segment in the test environment and the expansion volume of each expansion point of the insulation shell.

[0050] In a specific embodiment of the present invention, the expansion degree of the insulation shell of each target cable segment is calculated as follows: B1, the number of expansion points of the insulation shell of each target cable segment in the test environment is recorded as β r .

[0051] B2. Accumulate the expansion volume of each target cable segment's insulation shell at each expansion location in the test environment to obtain the total expansion volume of the insulation shell of each target cable segment in the test environment, denoted as V r .

[0052] B3. Calculate the insulation expansion of each target cable segment Among them, β′ and V′ respectively represent the number of expansion points and expansion volume of the outer skin of the set reference, and a3 and a4 respectively represent the weights of the insulation shell expansion evaluation corresponding to the number of expansion points and expansion volume of the set outer skin.

[0053] A3. Calculate the cracking degree θ of the insulation shell of each target cable segment based on the number of cracks and the crack length of each crack in the insulation shell of each target cable segment in the test environment. r .

[0054] It should be noted that the specific calculation process for calculating the cracking degree of the insulation shell of each target cable segment is as follows: H1, the number of cracks in the insulation shell of each target cable segment in the test environment is recorded as σ r .

[0055] H2. Calculate the average crack length of each crack in the insulation shell of each target cable segment in the test environment to obtain the average crack length of the insulation shell of each target cable segment in the test environment, which is recorded as

[0056] H3. Calculate the insulation shell cracking degree θ of each target cable segment r , Among them, σ′ and L 裂 They represent the number of cracks and crack length of the set reference respectively, c1 and c2 represent the weights of the evaluation of the cracking degree of the insulation shell corresponding to the set number of cracks and crack length respectively.

[0057] A4. Calculate the moisture resistance performance evaluation index χ of the insulation shell layer corresponding to each target cable segment r , in, and θ represent the set reference insulation shell expansion degree and insulation shell cracking degree, respectively. a1 and a2 represent the set insulation shell expansion degree and insulation shell cracking degree corresponding to the moisture resistance performance evaluation weight of the insulation shell level.

[0058] S2. Conductor information collection and analysis: Collect images of the conductors of each target cable segment in the test environment, obtain the contour image and grayscale image corresponding to the conductor of each target cable segment, and analyze the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment

[0059] It should be noted that the contour images corresponding to the conductors of each target cable segment are collected by an X-ray flaw detector. An X-ray flaw detector is a device that uses X-ray technology to detect the internal structure of an object. It can penetrate the insulating shell of a high-voltage cable and display the contour image of the conductor.

[0060] It should also be noted that the grayscale images corresponding to the conductors of each target cable segment are collected by importing the collected contour images corresponding to the conductors of each target cable segment into a computer, processing and analyzing them using image processing software, and then obtaining the grayscale images corresponding to the conductors of each target cable segment.

[0061] In a specific embodiment of the present invention, the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment is analyzed. The specific analysis process is as follows: C1, the contour volume corresponding to the conductor of each target cable segment is located from the contour image corresponding to the conductor of each target cable segment, and the conductor deformation degree ρ of each target cable segment is calculated based on the contour image. r .

[0062] It should be noted that the specific calculation process for calculating the conductor deformation of each target cable segment is as follows: J1. Extract the standard contour image corresponding to the conductor of the target cable segment from the cloud database, and locate the standard contour volume from it, which is recorded as V 标 .

[0063] J2. Overlap and compare the contour volume corresponding to the conductor of each target cable segment with the standard contour volume to obtain the overlapping contour volume corresponding to the conductor of each target cable segment, which is recorded as

[0064] J3. Calculate the conductor deformation ρ of each target cable segment r , Wherein, K0 represents the volume ratio of the overlapping contours used as a reference.

[0065] C2. Calculate the conductor corrosion degree ω of each target cable segment based on the grayscale image corresponding to the conductor of each target cable segment. r .

[0066] In a specific embodiment of the present invention, the specific calculation process of calculating the conductor corrosion degree of each target cable segment is as follows: D1. Locating each grayscale value and the grayscale area corresponding to each grayscale value from the grayscale image corresponding to the conductor of each target cable segment.

[0067] D2. Compare each grayscale value in the grayscale image corresponding to the conductor of each target cable segment with the set of rust grayscale values ​​stored in the cloud database. If a grayscale value is within the set of rust grayscale values, the grayscale area corresponding to the grayscale value is recorded as the rust area. Count the number of rust areas corresponding to the conductor of each target cable segment, and collect the area of ​​each rust area.

[0068] It should be noted that the area of ​​each rusted area is measured by using a measuring tool in an image processing software to measure the damaged area, thereby obtaining the number of damaged parts and the damaged area corresponding to each damaged part.

[0069] D3. The number of corroded areas corresponding to the conductor of each target cable segment is recorded as μ r .

[0070] D4. Accumulate the areas of the corroded regions corresponding to the conductors of each target cable segment to obtain the total corroded area corresponding to the conductors of each target cable segment, which is recorded as S r .

[0071] D5. Calculate the conductor corrosion degree ω of each target cable segment r , Among them, μ′ and S′ represent the number and area of ​​the reference corrosion regions, respectively; a7 and a8 represent the weights of the conductor corrosion degree assessment corresponding to the number and area of ​​the reference corrosion regions, respectively.

[0072] C3. Calculate the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment Wherein, e represents a natural constant, ρ′ and ω′ represent the set reference conductor deformation and conductor corrosion, respectively, and a5 and a6 represent the weights of the moisture resistance performance assessment of the conductor level corresponding to the set conductor deformation and conductor corrosion, respectively.

[0073] The embodiment of the present invention analyzes the conductor deformation and conductor corrosion degree, thereby analyzing the moisture resistance performance evaluation index of the conductor level corresponding to each target cable segment, thereby improving the coverage of the moisture resistance performance evaluation of the high-voltage cable, and to a certain extent avoiding the influence of the deformation and corrosion of the high-voltage cable conductor on its electrical performance, realizing the multi-faceted and multi-dimensional evaluation of the moisture resistance of the high-voltage cable, ensuring the safe operation of the cable, and extending the service life of the cable.

[0074] S3. Conductive information collection and analysis: Extract the length of the target cable segment and the temperature of the test environment, collect the voltage of each target cable segment at each monitoring point, simulate the signal transmission of each target cable segment in the test environment, collect the time points corresponding to the test signal sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signal received by each signal receiving end, and analyze the moisture resistance performance evaluation index ξ of the conductive layer corresponding to each target cable segment r .

[0075] It should be noted that the length of the target cable segment is extracted from the management background of the currently generated batch, the temperature of the test environment is extracted from the temperature sensor installed in the test environment, the voltage of each target cable segment at each monitoring point is collected by the voltage sensor installed at each monitoring point, and the time point corresponding to the signal sending end sending the test signal and the time point corresponding to the signal receiving end receiving the test signal are collected from the signal generator and the oscilloscope respectively.

[0076] It should also be noted that the signal transmission simulation process is: place the signal generator at the signal sending end of the target cable segment, place the oscilloscope at the signal receiving end of the target cable segment, connect the output port of the signal generator to the input port of the oscilloscope, ensure that the connection is stable and the contact is good, start the signal generator, and adjust the channel setting of the oscilloscope according to the signal type and amplitude output by the signal generator to match the output signal of the signal generator, and observe the signal waveform on the oscilloscope. If the oscilloscope can successfully capture and display the signal waveform, and the waveform is stable and undistorted, it means that the oscilloscope has successfully identified that the received signal is the test signal sent by the signal generator.

[0077] In a specific embodiment of the present invention, the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment is analyzed. The specific analysis process is as follows: E1. Based on the voltage of each target cable segment at each monitoring point, the voltage stability δ of each target cable segment is calculated. r .

[0078] It should be noted that the voltage stability of each target cable segment is calculated as follows: Q1. The voltage of each target cable segment at each monitoring point is recorded as U ri , where i represents the number of the monitoring point, i=1,2,...,n.

[0079] Q2. Extract the rated voltage corresponding to the target cable segment from the cloud database and record it as U 额 .

[0080] Q3. Calculate the voltage stability δ of each target cable segment r , Here, ΔU represents the set allowable voltage deviation.

[0081] E2. Calculate the signal transmission performance stability φ of each target cable segment based on the time points corresponding to the test signals sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signals received by each signal receiving end. r .

[0082] In a specific embodiment of the present invention, the signal transmission performance stability of each target cable segment is calculated as follows: F1, the time point corresponding to the time when each signal transmitting end of each target cable segment sends the test signal is compared with the time point corresponding to the time when each signal receiving end receives the test signal, and the duration of each signal transmission of each target cable segment is obtained, which is recorded as T rj , where j represents the number of signal transmission, j = 1, 2, ..., m.

[0083] F2. Let the length of the target cable segment and the temperature of the test environment be L and W respectively.

[0084] F3, calculate the signal transmission impact factor λ of the target cable segment, Among them, L′, W′ and ΔW represent the set reference cable segment length, test environment temperature and test environment temperature deviation, respectively. b3 and b4 represent the weights of the signal transmission impact factor evaluation corresponding to the set cable segment length and test environment temperature deviation, respectively.

[0085] F4. Calculate the signal transmission performance stability of each target cable segment φ r , Wherein, T′ and ΔT represent the reference signal transmission duration and signal transmission duration deviation, respectively, and m represents the number of signal transmissions.

[0086] E3. Calculate the moisture resistance performance evaluation index ξ of the conductive layer corresponding to each target cable segment r , Among them, δ′ and φ′ represent the set reference voltage stability and signal transmission performance stability, respectively, and b1 and b2 represent the weights of the moisture resistance evaluation of the conductive layer corresponding to the set voltage stability and signal transmission performance stability, respectively.

[0087] The embodiment of the present invention analyzes the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment by analyzing the voltage stability and signal transmission performance stability, and sets up a signal transmission simulation, thereby enriching the effective data analysis means, improving the accuracy of the moisture resistance performance evaluation analysis of the conductive layer corresponding to the high-voltage cable, ensuring the stability of information transmission, improving the reliability of information transmission, and ensuring the security of information transmission.

[0088] S4. Comprehensive moisture resistance performance evaluation: Analyze the comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch. When it is less than the set value, it indicates that the moisture resistance performance of the high-voltage cable segment in the current production batch is unqualified, and feedback is provided.

[0089] In a specific embodiment of the present invention, the comprehensive moisture resistance performance evaluation index of the high-voltage cable segments in the current production batch is analyzed. The specific analysis process is as follows: G1. Calculate the moisture resistance performance evaluation index of each target cable segment Among them, b5, b6 and b7 represent the weights of the moisture resistance performance evaluation corresponding to the set insulation shell layer, conductor layer and conductive layer respectively.

[0090] G2. Compare the moisture resistance performance evaluation index of each target cable segment with the set reference moisture resistance performance evaluation index. If the moisture resistance performance evaluation index of a target cable segment is less than the set reference moisture resistance performance evaluation index, then the target cable segment is recorded as an abnormal cable segment, and the number of abnormal cable segments is counted and recorded as ε.

[0091] G3. Calculate the comprehensive moisture resistance performance evaluation index ψ of the high-voltage cable segment in the current production batch. Among them, K1 and They represent the set reference abnormal cable segment proportion and moisture resistance performance evaluation index respectively, b8 and b9 represent the set abnormal cable segment proportion and moisture resistance performance evaluation index corresponding to the comprehensive moisture resistance performance evaluation proportion weight respectively, and g represents the number of target cable segments.

[0092] The embodiment of the present invention analyzes the comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch from three levels: the insulation shell level, the conductor level, and the conductive level, and provides feedback, thereby realizing real-time monitoring and prediction of the status of the high-voltage cable in a damp environment, thereby more accurately understanding the moisture resistance performance of the high-voltage cable, improving the stability and reliability of the power system operation, and at the same time improving the timeliness of discovering unqualified moisture resistance performance of the high-voltage cable, thereby solving potential safety hazards.

[0093] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A method for monitoring and analyzing the simulated condition of a high-voltage cable subjected to moisture, characterized in that: The steps include: S1. Insulation shell information collection and analysis: Randomly select several high-voltage cable segments from the current production batch of the target production plant and record them as target cable segments. Adjust the humidity of the test environment to the specified humidity, collect the moisture status information of the insulation shell of each target cable segment in the test environment, and analyze the moisture resistance performance evaluation index of the insulation shell layer of each target cable segment. ,in, Indicates the number of the target cable segment, , Indicates the number of target cable segments; S2. Conductor information collection and analysis: Collect images of the conductors of each target cable segment in the test environment, obtain the contour image and grayscale image corresponding to the conductor of each target cable segment, and analyze the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment ; S3. Conductive information collection and analysis: Extract the length of the target cable segment and the temperature of the test environment, collect the voltage of each target cable segment at each monitoring point, simulate the signal transmission of each target cable segment in the test environment, collect the time points corresponding to the test signal sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signal received by each signal receiving end, and analyze the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment. ; S4. Comprehensive moisture resistance performance evaluation: Analyze the comprehensive moisture resistance performance evaluation index of the high-voltage cable segments in the current production batch. When the index is less than the set value, it indicates that the moisture resistance performance of the high-voltage cable segments in the current production batch is unqualified, and feedback is provided; The analysis of the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment is carried out as follows: C1. Locate the contour volume of the conductor of each target cable segment from the contour image of the conductor of each target cable segment, and calculate the conductor deformation of each target cable segment accordingly. ; C2. Calculate the conductor corrosion degree of each target cable segment based on the grayscale image corresponding to the conductor of each target cable segment. ; C3. Calculate the moisture resistance performance evaluation index of the conductor layer corresponding to each target cable segment , ； in, represents a natural constant, and Respectively represent the conductor deformation and conductor corrosion of the set reference, and They respectively represent the weights of the moisture resistance performance evaluation of the conductor level corresponding to the set conductor deformation degree and conductor corrosion degree.

2. A method for monitoring and analyzing the moisture-induced simulation state of a high-voltage cable according to claim 1, characterized in that: The moisture state information includes the number of expanded locations of the outer skin, the expanded volume of each expanded location of the outer skin, the number of cracks, and the length of each crack.

3. A method for monitoring and analyzing the moisture-induced simulation state of a high-voltage cable according to claim 2, characterized in that: The analysis of the moisture resistance performance evaluation index of the insulation shell layer corresponding to each target cable segment is carried out as follows: A1. Extracting the number of expanded areas of the outer skin, the expanded volume of each expanded area, the number of cracks, and the length of each crack from the moisture state information of the insulation shell of each target cable segment in the test environment; A2. Calculate the expansion degree of the insulation shell of each target cable segment based on the number of expansion points of the insulation shell of each target cable segment in the test environment and the expansion volume of each expansion point of the insulation shell. ; A3. Calculate the cracking degree of the insulation shell of each target cable segment based on the number of cracks and the crack length of each crack in the insulation shell of each target cable segment in the test environment. ; A4. Calculate the moisture resistance performance evaluation index of the insulation shell layer corresponding to each target cable segment , ； in, and Respectively represent the expansion degree and cracking degree of the insulation shell of the set reference, and They respectively represent the weights of the moisture resistance performance evaluation of the insulation shell level corresponding to the set insulation shell expansion degree and insulation shell cracking degree.

4. A method for monitoring and analyzing the moisture-induced simulation state of a high-voltage cable according to claim 3, characterized in that: The specific calculation process of calculating the insulation shell expansion of each target cable segment is as follows: B1. The number of expansion points of the insulation shell of each target cable segment in the test environment is recorded as ; B2. Accumulate the expansion volume of each outer skin expansion point of each target cable segment in the test environment to obtain the total expansion volume of the insulation shell of each target cable segment in the test environment, which is recorded as ; B3. Calculate the insulation expansion of each target cable segment , ; in, and They represent the number of expansion points and expansion volume of the skin for setting reference respectively, and They respectively represent the weights of the set number of outer skin expansion points and expansion volume corresponding to the insulation shell expansion evaluation ratio.

5. The method for monitoring and analyzing the moisture-induced simulation state of a high-voltage cable according to claim 1, wherein: The specific calculation process of calculating the conductor corrosion degree of each target cable segment is as follows: D1. Locate each grayscale value and the grayscale area corresponding to each grayscale value from the grayscale image corresponding to the conductor of each target cable segment; D2. Compare each grayscale value in the grayscale image corresponding to the conductor of each target cable segment with the set of corrosion grayscale values ​​stored in the cloud database. If a grayscale value is within the set of corrosion grayscale values, the grayscale area corresponding to the grayscale value is recorded as a corrosion area. Count the number of corrosion areas corresponding to the conductor of each target cable segment and collect the area of ​​each corrosion area. D3. Record the number of corroded areas corresponding to the conductor of each target cable segment as ; D4. Accumulate the areas of the corroded regions corresponding to the conductors of each target cable segment to obtain the total corroded area corresponding to the conductors of each target cable segment, which is recorded as ; D5. Calculate the conductor corrosion degree of each target cable segment , ; in, and Respectively represent the number of rusted areas and the rusted area of ​​the set reference, and They respectively represent the set number of rusted areas and the weight of the conductor corrosion assessment corresponding to the rusted area.

6. The method for monitoring and analyzing the moisture-induced simulation state of a high-voltage cable according to claim 1, characterized in that: The analysis of the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment is carried out as follows: E1. Calculate the voltage stability of each target cable segment based on the voltage of each target cable segment at each monitoring point ; E2. Calculate the signal transmission performance stability of each target cable segment based on the time points corresponding to the test signals sent by each signal transmitting end of each target cable segment and the time points corresponding to the test signals received by each signal receiving end. ; E3. Calculate the moisture resistance performance evaluation index of the conductive layer corresponding to each target cable segment , ; in, and Respectively represent the voltage stability and signal transmission performance stability of the set reference, and They respectively represent the weights of the moisture resistance evaluation of the conductive layer corresponding to the set voltage stability and signal transmission performance stability.

7. A method for monitoring and analyzing the moisture-induced simulated condition of a high-voltage cable according to claim 6, characterized in that: The signal transmission performance stability of each target cable segment is calculated as follows: F1. Compare the time points corresponding to the test signals sent by the signal transmitting end of each target cable segment and the time points corresponding to the test signals received by the signal receiving end of each target cable segment to obtain the duration of each signal transmission of each target cable segment, recorded as ,in, Indicates the number of signal transmission, ; F2, the length of the target cable segment and the temperature of the test environment are recorded as and ; F3. Calculate the signal transmission impact factor of the target cable segment , ; in, 、 and Respectively represent the set reference cable segment length, test environment temperature and test environment temperature deviation, and They represent the weights of the signal transmission impact factor assessment corresponding to the set cable segment length and test environment temperature deviation respectively; F4. Calculate the signal transmission performance stability of each target cable segment , ; in, and They represent the reference signal transmission time and signal transmission time deviation respectively. Indicates the number of signal transmissions.

8. The method for monitoring and analyzing the moisture-induced simulated condition of a high-voltage cable according to claim 1, wherein: The comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch is analyzed. The specific analysis process is as follows: G1. Calculate the moisture resistance performance evaluation index of each target cable segment , ; in, 、 and Respectively represent the weights of the moisture resistance evaluation corresponding to the set insulation shell layer, conductor layer and conductive layer; G2. Compare the moisture resistance performance evaluation index of each target cable segment with the set reference moisture resistance performance evaluation index. If the moisture resistance performance evaluation index of a target cable segment is less than the set reference moisture resistance performance evaluation index, then the target cable segment is recorded as an abnormal cable segment, and the number of abnormal cable segments is counted and recorded as ; G3. Calculate the comprehensive moisture resistance performance evaluation index of the high-voltage cable segment in the current production batch , ; in, and They represent the abnormal cable section ratio and moisture resistance performance evaluation index of the reference setting respectively. and They represent the set abnormal cable segment proportion and moisture resistance performance evaluation index corresponding to the comprehensive moisture resistance performance evaluation proportion weight, Indicates the target cable segment number.

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