Power distribution network cable intermediate head partial discharge monitoring system

Abstract

The invention discloses a power distribution network cable intermediate head partial discharge monitoring system, which belongs to the technical field of power distribution network cable intermediate head partial discharge monitoring and comprises an information module, an arrangement analysis module, a monitoring module and an analysis module. The information module is used for processing power distribution network cable information in the detection area and establishing a digital twinborn body; the arrangement analysis module is used for arranging a corresponding monitoring sensor for the power distribution network cable; the monitoring module is used for acquiring monitoring data of each monitoring sensor in real time; the analysis module is used for analyzing the cable joints in the detection area and marking the cable joints correspondingly monitored by the monitoring sensors as reference joints; analyzing the reference connector through the monitoring data to obtain an analysis result of the reference connector; identifying a reference joint corresponding to the joint classification, and marking a cable joint of a non-reference joint in the joint classification as a reference joint; and determining an analysis reference result of the reference joint in the joint classification according to an analysis result of the corresponding benchmark joint in the joint classification.

Description

Technical Field

[0001] The present invention belongs to the technical field of partial discharge monitoring for medium - head of distribution network cables, and specifically relates to a partial discharge monitoring system for medium - head of distribution network cables. Background Art

[0002] Power cable accidents in the power system mainly occur at their joints, and the accident causes largely depend on the construction conditions and techniques of the joints. Due to the poor discharge resistance of extrusion - type insulating materials such as cross - linked polyethylene (XLPE), under the long - term action of partial discharge, the insulating materials age continuously and ultimately lead to insulation breakdown, causing serious accidents. In order to ensure the safe operation of power cables, it is required to conduct withstand voltage and partial discharge tests after the joints are made. At the same time, it is also necessary to regularly measure the partial discharge of the cables that have entered operation to evaluate their insulation status.

[0003] Currently, most power companies still manage cables by means of regular inspections and planned maintenance, unable to capture insulation defects in real - time. Many potential faults cannot be discovered in time. Facing the rapidly growing cable tunnels and high - voltage pipelines, the number of operation and maintenance personnel is difficult to match, resulting in huge management pressure.

[0004] Based on this, in order to achieve intelligent monitoring of partial discharge at the medium - head of distribution network cables, the present invention provides a partial discharge monitoring system for medium - head of distribution network cables. Summary of the Invention

[0005] In order to solve the problems existing in the above - mentioned solution, the present invention provides a partial discharge monitoring system for medium - head of distribution network cables.

[0006] The object of the present invention can be achieved by the following technical solutions: A partial discharge monitoring system for medium - head of distribution network cables includes an information module, an arrangement analysis module, a monitoring module, and an analysis module; The information module is used to process the distribution network cable information in the detection area and establish a corresponding digital twin.

[0007] The arrangement analysis module is used to set corresponding monitoring sensors for the distribution network cables, identify the joint information of each cable joint according to the digital twin, calculate the similarity between each joint information, classify the cable joints with similarity greater than threshold X1 into one category, and obtain several initial classifications; Based on the digital twin, conduct monitoring simulation on the cable joints within the initial classification, determine the installation positions of the corresponding monitoring sensors, and set the corresponding monitoring sensors according to the installation positions.

[0008] Further, conducting monitoring simulation on the cable joints within the initial classification based on the digital twin includes: Perform a monitoring planning simulation on the cable joint according to the comprehensive monitoring standard to obtain the corresponding simulation planning method; Optimize and adjust the simulation planning method through the digital twin to obtain the corresponding alternative planning methods; Screen each alternative planning method to determine the target planning method, and determine the installation positions of the corresponding monitoring sensors according to the target planning method.

[0009] Furthermore, optimize and adjust the simulation planning method through the digital twin, including: Step SA1: Identify each simulated installation point corresponding to the simulation planning method, and mark the simulated installation points correspondingly in the digital twin; Step SA2: Set the simulated background data, sort the simulated background data arbitrarily to form a simulation sequence; Step SA3: The digital twin classifies the cable joints according to the simulated background data corresponding to the simulation sequence to obtain the joint classification corresponding to the simulated background data; and remove the simulated background data from the simulation sequence; Each joint classification corresponds to a monitoring sensor, and the simulated installation points that can monitor any cable joint within the joint classification are regarded as the alternative points corresponding to the simulated background data; Form the corresponding alternative combinations according to the alternative points corresponding to each joint classification, and form the combination set of the simulated background data from each alternative combination; Step SA4: Loop step SA3 until there is no simulated background data in the simulation sequence, and obtain several combination sets; identify the intersection of each combination set, and form the corresponding alternative planning methods according to the alternative combinations corresponding to the intersection.

[0010] Furthermore, the digital twin classifies the cable joints according to the simulated background data, including: The digital twin performs a status evaluation on each cable joint according to the simulated background data to obtain the status evaluation result of the corresponding cable joint; Judge whether the corresponding cable joints meet the merging requirements according to the status evaluation results to obtain the merging judgment results; merge according to the merging judgment results between each cable joint to obtain the corresponding joint classification.

[0011] Furthermore, judge whether the corresponding cable joints meet the merging requirements according to the status evaluation results, including: Establish a merging judgment model, and the expression of the merging judgment model is: ; In the formula: (s1, s2) is the input data, and s1 and s2 are the status evaluation results for merging judgment respectively; It indicates that the merging requirement is met between s1 and s2; the output data is the merging judgment value HP(s1, s2), and the merging judgment value is 1 or 0; Analyze the status evaluation results between corresponding cable joints through the merging judgment model to obtain the merging judgment value between the corresponding cable joints; When the merging judgment value is 1, the merging judgment result is that the merging requirement is met; When the merging judgment value is 0, the merging judgment result is that the merging requirement is not met.

[0012] Furthermore, screen each candidate planning method, including: Estimate the monitoring costs corresponding to each candidate planning method, and select the candidate planning method with the lowest monitoring cost as the target planning method.

[0013] The monitoring module is used to obtain the monitoring data of each monitoring sensor in real time.

[0014] The analysis module is used to analyze the cable joints in the detection area, identify the cable joints monitored by each monitoring sensor, and mark the cable joints as reference joints; analyze the reference joints through the monitoring data to obtain the analysis results of the reference joints; classify the cable joints in the detection area in real time to obtain the corresponding joint classifications; identify the reference joints corresponding to the joint classifications, and mark the cable joints that are not reference joints in the joint classifications as reference joints; Determine the analysis reference results of the reference joints in the joint classifications according to the analysis results of the corresponding reference joints in the joint classifications, and mark the analysis reference results and the analysis results at the corresponding cable joints in the digital twin.

[0015] Furthermore, it also includes a similar calibration module, and the similar calibration module is used to perform calibration analysis on the analysis results and the analysis reference results in the joint classifications to obtain the corresponding calibration results.

[0016] Furthermore, perform calibration analysis, including: Obtain the standard result records of the corresponding analysis reference results in real time, and calibrate the analysis reference results according to the standard result records to obtain the corresponding calibration results.

[0017] Compared with the prior art, the beneficial effects of the present invention are: Through the mutual cooperation among the information module, the layout analysis module, the monitoring module and the analysis module, the real-time monitoring of the partial discharge of the middle joint of the distribution network cable is realized. Compared with the traditional regular inspection and planned maintenance methods adopted by most power companies, this system can capture the insulation defects of the cable middle joint at any time, discover potential faults in time, effectively avoid serious accidents caused by the long-term action of partial discharge leading to the aging and breakdown of insulation materials, greatly improve the operation safety of power cables, and ensure the stable power supply of the power system; by calculating the similarity first for initial classification, it is convenient to reduce the number of cable joints for subsequent simulation analysis, improve the analysis efficiency and save resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0019] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] As Figure 1 shown, a partial discharge monitoring system for the middle joint of a distribution network cable includes an information module, a layout analysis module, a monitoring module and an analysis module; The information module is used to process the distribution network cable information in the monitoring area and establish a corresponding digital twin; through the digital twin, the detailed conditions of each cable joint can be intuitively and clearly displayed, and it can be used for other purposes such as fault prediction and operation and maintenance decision support in the future. In the present invention, it is mainly reflected in the monitoring of cable joints; the monitoring area refers to the area where partial discharge monitoring of the middle joint of the distribution network cable needs to be carried out.

[0022] In one embodiment, the digital twin is established based on the existing digital twin technology and is updated and adjusted according to the subsequent corresponding collected data.

[0023] The layout analysis module is used to set corresponding monitoring sensors for the distribution network cables, such as high-frequency current sensors, ultra-high frequency sensors, etc.; identify the joint information of each cable joint according to the digital twin, and the joint information includes relevant information such as operation years, construction technology, historical fault records, operation environment, voltage level, cable type, etc.; calculate the similarity between each joint information, classify the cable joints with similarity greater than the threshold X1 into one category, and obtain several initial classifications; perform initial classification by first calculating the similarity, which is convenient for reducing the number of cable joints in subsequent simulation analysis, improving the analysis efficiency and saving resources.

[0024] Based on the digital twin, monitor and simulate the cable joints within the initial classification, determine the installation positions of the corresponding monitoring sensors, and set the corresponding monitoring sensors according to the installation positions.

[0025] In one embodiment, monitoring and simulating the cable joints within the initial classification based on the digital twin includes: Perform monitoring planning simulation on the cable joints with the standard of comprehensive monitoring, determine the existing comprehensive monitoring planning methods, marked as simulation planning methods, and the monitoring sensor setting schemes corresponding to each simulation planning method can all achieve the monitoring of all cable joints within the detection area; perform simulation according to the current comprehensive monitoring planning method to determine the existing simulation planning methods.

[0026] Optimize and adjust the simulation planning methods through the digital twin, remove the redundant simulation installation points, and form the simplest planning method corresponding to this simulation planning method, marked as the to-be-selected planning method; Screen each to-be-selected planning method to determine the target planning method, and determine the installation positions of the corresponding monitoring sensors according to the target planning method.

[0027] In one embodiment, optimizing and adjusting the simulation planning methods through the digital twin includes: Step SA1: Identify each simulation installation point corresponding to the simulation planning method, and mark the simulation installation points in the digital twin; Set the simulation background data according to the historical data of the corresponding distribution network cables. The simulation background data is set according to the data required for the status evaluation of the corresponding cable joints, such as the background of dynamic changes in the operating years, operating environment, historical fault records, etc. The historical fault records in the simulation background data are set according to the possible subsequent fault conditions of the corresponding cable joints to form different simulation background data; the construction process, cable type, etc. are fixed as the benchmark; such as extracting the background such as the environment according to the historical data, and then combining the unified change of the operating years to form the background, and then supplementing it to the corresponding background according to the difference of the historical fault records to form different types of backgrounds, and the number of subsequent simulation background data can be reduced according to whether the corresponding background can appear. For example, the historical fault records of each cable joint do not occur simultaneously in actual applications, such as a large number of fault repair records appearing in a short period of time; the number of backgrounds can also be restricted by other limiting conditions, such as restricting the future time period, and inferring the operating years range, the types and quantities of possible faults, etc. according to the future time period; form the simulation background data according to the corresponding background; specifically, the simulation background data can be set manually or by intelligent generation means.

[0028] Step SA2: Arbitrarily sort the simulation background data to form a corresponding simulation sequence. Step SA3: The digital twin classifies the cable joints according to the simulation background data corresponding to the simulation sequence to obtain the joint classification corresponding to the corresponding simulation background data; remove the simulated simulation background data from the simulation sequence. Each joint classification corresponds to a monitoring sensor, and the simulated installation point that can monitor any cable joint within the joint classification is regarded as the candidate point corresponding to the simulation background data; it is determined according to the monitoring range of the corresponding monitoring sensor, etc. Form corresponding candidate combinations according to the candidate points corresponding to each joint classification, that is, select any one from the candidate points corresponding to the joint classification, and the candidate points selected by each joint classification form a candidate combination. According to the existing selection method, several candidate combinations are formed, and each candidate combination forms a combination set of the simulation background data; corresponding numbers, codes, etc. can be assigned to each candidate combination, and each combination set is composed of the numbers, codes, etc. to reduce the data volume. Step SA4: Loop step SA3 until there is no simulation background data in the simulation sequence, obtain several combination sets, and only retain one for the same combination set; identify the intersection corresponding to each combination set, and form a corresponding candidate planning method according to the candidate combination corresponding to the intersection, that is, one candidate combination corresponds to one candidate planning method.

[0029] In one embodiment, the digital twin classifies the cable joints according to the simulation background data, including: Perform a status assessment on each cable joint according to the simulation background data through the digital twin to obtain the status assessment results of the corresponding cable joints; use the current status assessment results for evaluation, that is, under this background condition, the status results that the corresponding construction technology, voltage level, etc. of the cable joints should have; it is also possible to combine the test data of the corresponding cable joints, etc. for evaluation. Judge whether the corresponding cable joints meet the merging requirements according to the status assessment results to obtain the merging judgment results; perform merging according to the merging judgment results between each cable joint to obtain the corresponding joint classification.

[0030] If A and B, B and C, and A and C meet the merging requirements, then determine that ABC can be classified into one category according to the derivation relationship, progressive relationship, etc.

[0031] In one embodiment, judge whether the corresponding cable joints meet the merging requirements according to the status assessment results, that is, whether the difference between the corresponding status assessment results meets the preset value, such as setting the preset value according to the allowable error; based on this, it is possible to combine existing methods for judgment, such as establishing an intelligent model based on machine learning, deep learning algorithms, etc., and performing intelligent judgment through the intelligent model after successful training.

[0032] In one embodiment, judging whether the corresponding cable joints meet the merging requirements according to the status assessment results includes: Establish a merging judgment model, and the expression of the merging judgment model is: ; In the formula: (s1, s2) is the input data, and s1 and s2 are the status assessment results for merging judgment respectively; Indicates that s1 and s2 meet the merging requirements, and mark the merging judgment results between the corresponding historical status assessment results for training; the output data is the merging judgment value HP(s1, s2), and the merging judgment value is 1 or 0; Analyze the status assessment results between the corresponding cable joints through the merging judgment model to obtain the merging judgment value between the corresponding cable joints; When the merging judgment value is 1, the merging judgment result is that the merging requirements are met; When the merging judgment value is 0, the merging judgment result is that the merging requirements are not met.

[0033] In one embodiment, screen each candidate planning method, estimate the monitoring cost corresponding to each candidate planning method, and select the candidate planning method with the lowest monitoring cost as the target planning method.

[0034] In one embodiment, each candidate planning method is screened, and a stability value is supplemented for screening on the basis of the above embodiment. The stability value is set according to the stability situation corresponding to the candidate planning method. For example, the impact of simulating a fault of a certain monitoring sensor on the overall detection according to the candidate planning method, such as combining simulated background data to determine the proportion of cable joints that cannot be monitored in different situations, calculating the representative cable joint proportion according to the proportion of each simulated background data, and confirming the stability value according to the cable joint proportion. For example, directly applying 1 - this proportion as the stability value, or the influence of the proportion can also be increased by combining an exponential function; subsequently, the priority is comprehensively determined according to the proportional coefficient of the cost and the stability value.

[0035] Exemplarily, a corresponding training set is set according to the evaluation method of the above stability value, a stability analysis model is established based on a CNN network or a DNN network, etc., and through the stability analysis model for analysis, the stability value of the corresponding candidate planning method is obtained; Calculate the corresponding priority value according to the priority value formula. The priority value formula is: Priority value = stability value / monitoring cost; Priority value = (b1 × stability value) / (b2 × monitoring cost); both b1 and b2 are proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1.

[0036] In one embodiment, each candidate planning method is screened, and the monitoring accuracy is supplemented on the basis of the above embodiment, and the priority is comprehensively evaluated according to the monitoring accuracy of the corresponding candidate planning method.

[0037] The monitoring module is used to obtain the monitoring data of each monitoring sensor in real time.

[0038] The analysis module is used to analyze the cable joints in the detection area, identify the cable joints monitored by the corresponding monitoring sensors, and mark the corresponding cable joints as reference joints; analyze the cable joints through the monitoring data to obtain the corresponding analysis results, and use the existing monitoring data analysis methods to determine whether the cable joints are abnormal, etc.; classify the cable joints in the detection area in real time according to the classification method in the above embodiment; obtain the corresponding joint classification; identify the reference joints corresponding to the joint classification, and determine the analysis reference results of other cable joints in the joint classification according to the analysis results of the corresponding reference joints in each joint classification, and mark the analysis reference results and the analysis results at the corresponding cable joints in the digital twin.

[0039] In one embodiment, determining the analysis reference results of other cable joints in the joint classification according to the analysis results of the corresponding reference joints in each joint classification includes: When the differences between the analysis results of the corresponding reference joints within the joint classification meet the preset requirements, for example, if the analysis results are all normal, the difference is 0; if one is normal and one is abnormal, the difference is 100; if both are abnormal, identify the corresponding abnormal causes and determine the difference value according to the abnormal causes. Exemplarily, a difference value not greater than 5% is considered to meet the preset requirements. Use the median, mode, etc. to process multiple analysis results to determine the analysis reference results of other cable joints within this joint classification. It is also possible to select one from multiple analysis results as the analysis reference result of the corresponding cable joint according to any one, distance, etc. If there is only one analysis result, the reference analysis results of other cable joints within this joint classification are all this analysis result.

[0040] When the differences between the analysis results of the corresponding reference joints within the joint classification do not meet the preset requirements, match the corresponding analysis result as the reference analysis result for the corresponding cable joint in the way of the highest similarity to the reference joint.

[0041] In one embodiment, determining the analysis reference results of other cable joints within the joint classification according to the analysis results of the corresponding reference joints in each joint classification includes: Use deep learning algorithms, etc. to establish a reference analysis model, mark the corresponding training set according to historical data. The training set includes input data and output data. The input data is the analysis results and detection data of the corresponding cable joints within the joint classification, and the output data is the analysis reference results of other joint classifications within the joint classification. After training, the reference accuracy of the corresponding cable joints to other cable joints can be statistically calculated, which is convenient for subsequent selection of the highest reference accuracy for inference when there are multiple analysis results. Analyze through the successfully trained reference analysis model.

[0042] In one embodiment, determining the analysis reference results of other cable joints within the joint classification according to the analysis results of the corresponding reference joints in each joint classification can also be analyzed based on other existing technologies.

[0043] In one embodiment, it further includes a same-kind calibration module, and the same-kind calibration module is used to perform calibration analysis on the analysis results and analysis reference results within the joint classification to determine the calibration results of classification inference.

[0044] That is, use subsequent inspections, faults, etc. to determine whether the actual results of the power joints are consistent with the analysis reference results for verification; mark the actual results for verifying the analysis reference results as marked result records.

[0045] In one embodiment, when the calibration result is unqualified, determine whether it is a classification reason, that is, the change trend of the cable joint does not meet the corresponding classification requirements, but it is assigned to the same joint classification according to normal development, then the corresponding joint information needs to be updated.

[0046] In one embodiment, continuous monitoring simulation can be performed based on the digital twin. For cable joints where the accuracy of the inferred reference analysis result does not meet the requirements, corresponding monitoring sensors can be added, or regular inspections can be carried out on them.

[0047] The above formulas are all calculated by removing the dimension and taking their numerical values. The formula is a formula obtained by collecting a large amount of data for software simulation to be closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through a large amount of data simulation.

[0048] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A partial discharge monitoring system for a distribution network cable joint, characterized in that, It includes an information module, an arrangement analysis module, a monitoring module, and an analysis module; The information module is used to process the distribution network cable information in the detection area and establish a corresponding digital twin; The arrangement analysis module is used to set corresponding monitoring sensors for the distribution network cables, identify the joint information of each cable joint according to the digital twin, calculate the similarity between each joint information, classify the cable joints with a similarity greater than the threshold X1 into one category, and obtain several initial classifications; Based on the digital twin, monitor and simulate the cable joints within the initial classification, determine the installation positions of the corresponding monitoring sensors, and set the corresponding monitoring sensors according to the installation positions; The monitoring module is used to obtain the monitoring data of each monitoring sensor in real time; The analysis module is used to analyze the cable joints in the detection area, identify the cable joints monitored by each monitoring sensor, and mark the cable joints as reference joints; analyze the reference joints through the monitoring data to obtain the analysis results of the reference joints; classify the cable joints in the detection area in real time to obtain the corresponding joint classifications; identify the reference joints corresponding to the joint classifications, and mark the cable joints other than the reference joints in the joint classifications as reference joints; Determine the analysis reference results of the reference joints in the joint classifications according to the analysis results of the corresponding reference joints in the joint classifications, and mark the analysis reference results and the analysis results at the corresponding cable joints in the digital twin.

2. The partial discharge monitoring system for the middle joint of a distribution network cable according to claim 1, wherein Based on the digital twin, monitor and simulate the cable joints within the initial classification, including: Conduct monitoring planning simulation on the cable joints with comprehensive monitoring as the standard to obtain the corresponding simulation planning methods; Optimize and adjust the simulation planning methods through the digital twin to obtain the corresponding candidate planning methods; Screen each candidate planning method to determine the target planning method, and determine the installation positions of the corresponding monitoring sensors according to the target planning method.

3. The partial discharge monitoring system for the middle joint of a distribution network cable according to claim 2, wherein, Optimize and adjust the simulation planning methods through the digital twin, including: Step SA1: Identify each simulated installation point corresponding to the simulation planning method, and mark the simulated installation points in the digital twin; Step SA2: Set simulated background data, sort the simulated background data arbitrarily to form a simulation sequence; Step SA3: The digital twin classifies the cable joints according to the simulated background data corresponding to the simulation sequence to obtain the joint classification corresponding to the simulated background data; and remove the simulated background data from the simulation sequence; Each joint classification corresponds to a monitoring sensor, and the simulated installation points that can monitor any cable joint within the joint classification are regarded as the candidate points corresponding to the simulated background data; Form corresponding candidate combinations according to the candidate points corresponding to each joint classification, and form a combination set of the simulated background data from each candidate combination; Step SA4: Loop step SA3 until there is no simulated background data in the simulation sequence, and obtain several combination sets; identify the intersection of each combination set, and form the corresponding candidate planning methods according to the candidate combinations corresponding to the intersection.

4. A partial discharge monitoring system for the middle joint of a distribution network cable according to claim 3, characterized in that, The digital twin classifies the cable joints according to the simulated background data, including: Perform status assessment on each cable joint according to the simulation background data through the digital twin, and obtain the status assessment results of the corresponding cable joints; Judge whether the corresponding cable joints meet the merging requirements according to the status assessment results, and obtain the merging judgment results; merge according to the merging judgment results between each cable joint to obtain the corresponding joint classification.

5. The partial discharge monitoring system for the middle joint of a distribution network cable according to claim 4, characterized in that Judge whether the corresponding cable joints meet the merging requirements according to the status assessment results, including: Establish a merging judgment model, and the expression of the merging judgment model is: ; Where: (s1, s2) is the input data, and s1 and s2 are the state evaluation results for merge judgment respectively; It indicates that the merge requirement is met between s1 and s2; the output data is the merge judgment value HP(s1, s2), and the merge judgment value is 1 or 0; Analyze the status assessment results between the corresponding cable joints through the merging judgment model to obtain the merging judgment values between the corresponding cable joints; When the merging judgment value is 1, the merging judgment result is that the merging requirements are met; When the merging judgment value is 0, the merging judgment result is that the merging requirements are not met.

6. The partial discharge monitoring system for the middle joint of a distribution network cable according to claim 2, wherein, Screen each candidate planning method, including: Estimate the monitoring costs corresponding to each candidate planning method, and select the candidate planning method with the lowest monitoring cost as the target planning method.

7. A partial discharge monitoring system for a distribution network cable intermediate joint according to claim 1, characterized in that, It also includes a similar calibration module, which is used to calibrate and analyze the analysis results and analysis reference results within the joint classification to obtain the corresponding calibration results.

8. A partial discharge monitoring system for a distribution network cable intermediate joint according to claim 7, characterized in that, Perform calibration analysis, including: Obtain the standard result record of the corresponding analysis reference result in real time, and calibrate the analysis reference result according to the standard result record to obtain the corresponding calibration result.

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