A partial discharge monitoring system for the middle head of distribution network cables

Abstract

The present invention discloses a partial discharge monitoring system for an intermediate head of a distribution network cable, which belongs to the technical field of partial discharge monitoring for an intermediate head of a distribution network cable. The system comprises an information module, a layout analysis module, a monitoring module and an analysis module; the information module is used to process information of distribution network cables within a detection area and establish a digital twin; the layout analysis module is used to set corresponding monitoring sensors for distribution network cables; the monitoring module is used to obtain monitoring data of each monitoring sensor in real time; the analysis module is used to analyze cable joints within the detection area and mark the cable joints monitored by each monitoring sensor as reference joints; the reference joints are analyzed through the monitoring data to obtain analysis results of the reference joints; the reference joints corresponding to the joint classification are identified and the cable joints that are not reference joints within the joint classification are marked as reference joints; and the analysis reference results of the reference joints within the joint classification are determined according to the analysis results of the corresponding reference joints within the joint classification.

Description

Technical Field

[0001] The invention belongs to the technical field of partial discharge monitoring of an intermediate end of a cable in a distribution network, and in particular relates to a partial discharge monitoring system for an intermediate end of a cable in a distribution network. Background Art

[0002] Power cable accidents in power systems primarily occur at their joints, with the cause largely dependent on joint construction conditions and techniques. Extruded insulation materials like cross-linked polyethylene (XLPE) have poor discharge resistance. Under the long-term effects of partial discharge, the insulation material deteriorates, ultimately leading to insulation breakdown and serious accidents. To ensure the safe operation of power cables, withstand voltage and partial discharge tests are required after joints are completed. Furthermore, regular partial discharge measurements should be conducted on cables already in operation to assess their insulation condition.

[0003] At present, most power companies still manage cables through regular inspections and planned maintenance, which are unable to capture insulation defects in real time, and many potential faults cannot be discovered in time. Faced with the rapid growth of 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 realize intelligent monitoring of partial discharge of the middle head of the distribution network cable, the present invention provides a partial discharge monitoring system for the middle head of the distribution network cable. Summary of the Invention

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

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A partial discharge monitoring system for cable intermediate ends in a distribution network, comprising an information module, a layout analysis module, a monitoring module, and an analysis module;

[0008] The information module is used to process the distribution network cable information within the detection area and establish a corresponding digital twin.

[0009] The layout analysis module is used to set corresponding monitoring sensors for the distribution network cables, identify the joint information of each cable joint based on the digital twin, calculate the similarity between the joint information, and classify the cable joints with similarity greater than a threshold X1 into one category to obtain several initial classifications;

[0010] Based on the digital twin, the cable joints in the initial classification are monitored and simulated to determine the installation location of the corresponding monitoring sensors, and the corresponding monitoring sensors are set according to the installation location.

[0011] Furthermore, the cable joints in the initial classification are monitored and simulated based on the digital twin, including:

[0012] Conduct monitoring planning simulation on cable joints based on comprehensive monitoring standards to obtain corresponding simulation planning methods;

[0013] Optimize and adjust the simulation planning method through digital twins to obtain the corresponding candidate planning method;

[0014] Screen the various candidate planning methods, determine the target planning method, and determine the installation location of the corresponding monitoring sensor according to the target planning method.

[0015] Furthermore, the simulation planning method is optimized and adjusted through the digital twin, including:

[0016] Step SA1: Identify each simulated installation point corresponding to the simulated planning method and mark the simulated installation point accordingly in the digital twin;

[0017] Step SA2: setting simulation background data, and arbitrarily sorting the simulation background data to form a simulation sequence;

[0018] Step SA3: The digital twin classifies the cable connectors according to the simulation background data corresponding to the simulation sequence to obtain connector classifications corresponding to the simulation background data; and removes the simulation background data from the simulation sequence;

[0019] Each connector category corresponds to a monitoring sensor, and the simulated installation point that can monitor any cable connector in the connector category is regarded as a candidate point corresponding to the simulated background data;

[0020] According to the candidate points corresponding to each joint classification, corresponding candidate combinations are formed, and the combination set of the simulation background data is formed by each candidate combination;

[0021] Step SA4: loop step SA3 until there is no simulation background data in the simulation sequence, and obtain several combination sets; identify the intersection of each combination set, and form corresponding candidate planning methods according to the candidate combinations corresponding to the intersection.

[0022] Furthermore, the digital twin classifies the cable joints according to the simulated background data, including:

[0023] The digital twin is used to evaluate the status of each cable joint according to the simulated background data to obtain the status evaluation results of the corresponding cable joints;

[0024] According to the status assessment results, it is judged whether the corresponding cable joints meet the merging requirements to obtain the merging judgment results; according to the merging judgment results between the various cable joints, they are merged to obtain the corresponding joint classification.

[0025] Furthermore, judging whether the corresponding cable joints meet the merging requirements based on the status assessment results includes:

[0026] Establish a merger judgment model, the expression of the merger judgment model is: ;

[0027] Where: (s1, s2) is the input data, s1 and s2 are the state evaluation results for merging judgment; Indicates that s1 and s2 meet the merging requirements; the output data is the merge judgment value HP(s1, s2), which is 1 or 0;

[0028] Analyze the status evaluation results between corresponding cable joints through the combined judgment model to obtain the combined judgment values ​​between corresponding cable joints;

[0029] When the merge judgment value is 1, the merge judgment result is that the merge requirement is met;

[0030] When the merge judgment value is 0, the merge judgment result is that the merge requirement is not met.

[0031] Furthermore, each candidate planning method is screened, including:

[0032] 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.

[0033] The monitoring module is used to obtain monitoring data from each monitoring sensor in real time.

[0034] The analysis module is used to analyze the cable joints in the detection area, identify the cable joints corresponding to the monitoring sensors, and mark the cable joints as reference joints; analyze the reference joints based on 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 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;

[0035] The analysis reference results of the reference joints within the joint classification are determined according to the analysis results of the corresponding benchmark joints within the joint classification, and the analysis reference results and analysis results are marked at the corresponding cable joints in the digital twin.

[0036] Furthermore, it also includes a similar calibration module, which is used to perform calibration analysis on the analysis results and analysis reference results within the joint classification to obtain corresponding calibration results.

[0037] Furthermore, a calibration analysis is performed, including:

[0038] The standard result record of the corresponding analysis reference result is obtained in real time, and the analysis reference result is calibrated according to the standard result record to obtain the corresponding calibration result.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] Through the interplay between the information module, layout analysis module, monitoring module, and analysis module, real-time monitoring of partial discharge (PD) at cable headers in distribution networks is achieved. Compared to the regular inspections and planned maintenance methods typically employed by most power companies, this system can readily detect insulation defects in cable headers, promptly identifying potential faults and effectively avoiding serious accidents caused by insulation breakdown due to long-term PD. This significantly improves the safety of power cable operation and ensures stable power supply. By initially calculating similarity for classification, the number of cable joints required for subsequent simulation analysis can be reduced, improving analysis efficiency and conserving resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 paying any creative work.

[0042] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0043] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all 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] like Figure 1 As shown, a partial discharge monitoring system for the intermediate head of a distribution network cable includes an information module, a layout analysis module, a monitoring module and an analysis module;

[0045] The information module is used to process the distribution network cable information within the monitoring area and establish a corresponding digital twin; the digital twin intuitively and clearly displays the details of each cable joint, and can subsequently be used for other purposes such as fault prediction and operation and maintenance decision support. 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 head of the distribution network cable is required.

[0046] In one embodiment, the digital twin is established based on existing digital twin technology and is updated and adjusted according to subsequent corresponding collected data.

[0047] The layout analysis module is used to set up corresponding monitoring sensors for distribution network cables, such as high-frequency current sensors and ultra-high-frequency sensors. The module identifies the joint information of each cable joint based on the digital twin, which includes relevant information such as operating age, construction technology, historical fault records, operating environment, voltage level, and cable type. The module calculates the similarity between each joint information and classifies cable joints with a similarity greater than a threshold value X1 into one category, obtaining several initial classifications. By first calculating the similarity and performing the initial classification, the module reduces the number of cable joints required for subsequent simulation analysis, improves analysis efficiency, and conserves resources.

[0048] Based on the digital twin, the cable joints in the initial classification are monitored and simulated to determine the installation location of the corresponding monitoring sensors, and the corresponding monitoring sensors are set according to the installation location.

[0049] In one embodiment, a monitoring simulation is performed on the cable joints within the initial classification based on the digital twin, including:

[0050] Carry out monitoring planning simulation for cable joints based on comprehensive monitoring as the standard, determine the comprehensive monitoring planning method, and mark it as the simulation planning method. The monitoring sensor setting scheme corresponding to each simulation planning method can realize the monitoring of all cable joints in the detection area; simulate according to the current comprehensive monitoring planning method to determine the simulation planning method.

[0051] The simulation planning method is optimized and adjusted through the digital twin, and redundant simulation installation points are removed to form the simplest planning method corresponding to the simulation planning method, which is marked as the candidate planning method;

[0052] Screen the various candidate planning methods, determine the target planning method, and determine the installation location of the corresponding monitoring sensor according to the target planning method.

[0053] In one embodiment, the simulation planning method is optimized and adjusted through the digital twin, including:

[0054] Step SA1: Identify each simulated installation point corresponding to the simulated planning method and mark the simulated installation point accordingly in the digital twin;

[0055] The simulation background data is set according to the historical data of the corresponding distribution network cable. The simulation background data is set according to the data required for the status evaluation of the corresponding cable joint, such as the background of operating years, operating environment, historical fault records, etc. in dynamic changes. The historical fault records in the simulation background data are set according to the subsequent possible fault conditions of the corresponding cable joint to form different simulation background data; the construction process, cable type, etc. are fixed as the benchmark; for example, the background such as the environment is extracted according to the historical data, and then combined with the background formed by the uniform change of operating years, and then supplemented to the corresponding background according to the differences in historical fault records to form different types of backgrounds. The amount 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 will not appear at the same time in actual application, such as a large number of fault maintenance records appearing in a short period of time; the number of backgrounds can also be limited by other restrictions, such as limiting the future time period, and inferring the operating years range, the type and number of possible faults based on the future time period; forming simulation background data according to the corresponding background; specifically, the simulation background data can be set by manual or intelligent generation.

[0056] Step SA2: Arbitrarily sort the simulation background data to form a corresponding simulation sequence;

[0057] 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; and removes the simulated simulation background data from the simulation sequence;

[0058] Each connector category corresponds to a monitoring sensor. The simulated installation point that can monitor any cable connector in the connector category is considered as the candidate point corresponding to the simulated background data. The selection is made based on the monitoring range of the corresponding monitoring sensor.

[0059] According to the candidate points corresponding to each joint classification, a corresponding candidate combination is formed, that is, one of the candidate points corresponding to the joint classification is selected, and the candidate combination is formed by the candidate points selected by each joint classification. According to the selection method, several candidate combinations are formed, and the combination set of the simulation background data is formed by each candidate combination; each candidate combination can be assigned a corresponding number, code, etc., and the combination set is composed of each number, code, etc., to reduce the amount of data;

[0060] Step SA4: Loop step SA3 until there is no simulation background data in the simulation sequence, and obtain several combination sets. For the same combination set, only one is retained; 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.

[0061] In one embodiment, the digital twin classifies the cable joints according to the simulated background data, including:

[0062] Through the digital twin, the status of each cable joint is evaluated according to the simulated background data to obtain the status evaluation results of the corresponding cable joints. The current status evaluation results are used for evaluation, that is, the status results that the cable joints should have under the corresponding construction process, voltage level, etc. under the background conditions. The evaluation can also be combined with the test data of the corresponding cable joints.

[0063] According to the status assessment results, it is judged whether the corresponding cable joints meet the merging requirements to obtain the merging judgment results; according to the merging judgment results between the various cable joints, they are merged to obtain the corresponding joint classification.

[0064] If A and B, B and C, and A and C meet the merging requirements, then ABC can be classified into one category based on the deductive relationship, progressive relationship, etc.

[0065] In one embodiment, whether the corresponding cable joints meet the merging requirements is judged based on the status evaluation results, that is, whether the difference between the corresponding status evaluation results meets the preset value, such as setting the preset value according to the allowable error; based on this, the judgment can be made in combination with the existing methods, such as establishing an intelligent model based on machine learning, deep learning algorithms, etc., and making intelligent judgments through the intelligent model after successful training.

[0066] In one embodiment, determining whether corresponding cable joints meet the merging requirements based on the status assessment result includes:

[0067] Establish a merger judgment model, the expression of the merger judgment model is: ;

[0068] Where: (s1, s2) is the input data, s1 and s2 are the state evaluation results for merging judgment; Indicates that s1 and s2 meet the merging requirements, and marks the merging judgment results between the corresponding historical state evaluation results for training; the output data is the merged judgment value HP(s1, s2), which is 1 or 0;

[0069] Analyze the status evaluation results between corresponding cable joints through the combined judgment model to obtain the combined judgment values ​​between corresponding cable joints;

[0070] When the merge judgment value is 1, the merge judgment result is that the merge requirement is met;

[0071] When the merge judgment value is 0, the merge judgment result is that the merge requirement is not met.

[0072] In one embodiment, each candidate planning method is screened, the monitoring cost corresponding to each candidate planning method is estimated, and the candidate planning method with the lowest monitoring cost is selected as the target planning method.

[0073] In one embodiment, each candidate planning method is screened, and a stability value is added to participate in the screening based on the above embodiment. The stability value is set according to the stability situation corresponding to the candidate planning method. For example, the impact of a monitoring sensor failure on the overall detection is simulated according to the candidate planning method. For example, the proportion of cable joints that cannot be monitored under different circumstances is determined in combination with the simulated background data. The representative proportion of cable joints is calculated according to the proportion of each simulated background data, and the stability value is confirmed according to the cable joint proportion. For example, 1-the proportion is directly applied as the stability value, and the exponential function can also be combined to increase the proportion impact; subsequently, the priority is comprehensively determined based on the proportional coefficient of the cost and the stability value.

[0074] Exemplarily, a corresponding training set is set for an evaluation method that satisfies the above stability value, a stability analysis model is established based on a CNN network or a DNN network, and the stability value of the corresponding candidate planning method is obtained by analysis through the stability analysis model;

[0075] Calculate the corresponding priority value according to the priority value formula. The priority value formula is:

[0076] Priority value = stability value / monitoring cost;

[0077] Priority value = (b1 × stability value) / (b2 × monitoring cost); b1 and b2 are both proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。

[0078] In one embodiment, each candidate planning method is screened, monitoring accuracy is supplemented on the basis of the above embodiment, and a comprehensive evaluation priority is performed based on the monitoring accuracy of the corresponding candidate planning method.

[0079] The monitoring module is used to obtain monitoring data from each monitoring sensor in real time.

[0080] 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 monitoring data to obtain corresponding analysis results, and use 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 and classify them according to the classification method in the above embodiment; obtain corresponding joint classifications; identify the reference joints corresponding to the joint classifications, determine the analysis reference results of other cable joints in the joint classifications according to the analysis results of the corresponding reference joints in each joint classification, and mark the analysis reference results and analysis results at the corresponding cable joints in the digital twin.

[0081] In one embodiment, determining analysis reference results of other cable connectors within each connector category based on analysis results of corresponding reference connectors within each connector category includes:

[0082] When the difference between the analysis results of the corresponding reference joints in the joint classification meets the preset requirements, if the analysis results are all normal, the difference is 0. If the analysis is normal and the analysis is abnormal, the difference is 100, and both are abnormal differences. The corresponding abnormal cause is identified, and the difference value is determined according to the abnormal cause. For example, a difference value of no more than 5% is considered to meet the preset requirements. The median value, mode, etc. are used to process multiple analysis results to determine the analysis reference results of other cable joints in the joint classification. You can also select one from the multiple analysis results as the analysis reference result of the corresponding cable joint based on any one, distance, etc. If there is only one analysis result, the reference analysis results of other cable joints in the joint classification are all this analysis result.

[0083] When the difference between the analysis results of the corresponding reference joints within the joint classification does not meet the preset requirements, the corresponding analysis result is matched for the corresponding cable joint in a manner with the highest similarity to the reference joint as the reference analysis result.

[0084] In one embodiment, determining analysis reference results of other cable connectors within each connector category based on analysis results of corresponding reference connectors within each connector category includes:

[0085] A reference analysis model is established using deep learning algorithms, and the corresponding training set is marked 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 joint to other cable joints can be statistically analyzed, so that when there are multiple analysis results in the future, the highest reference accuracy can be selected for inference. Analysis is performed using the reference analysis model after successful training.

[0086] In one embodiment, analysis reference results of other cable connectors in a connector category are determined based on analysis results of corresponding reference connectors in each connector category. Analysis may also be performed based on other existing technologies.

[0087] In one embodiment, a same-type calibration module is further included, and the same-type 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 the classification inference.

[0088] That is, subsequent inspections, faults, etc. are used to determine whether the actual results of the power connector are consistent with the analysis reference results for verification; the actual results of the verification of the analysis reference results are marked as marked result records.

[0089] In one embodiment, when the calibration result is calibration failure, it is determined whether it is due to classification reasons, that is, the change trend of the cable joint does not meet the corresponding classification requirements, but is assigned to the same joint classification according to normal development, then the corresponding joint information needs to be updated.

[0090] In one embodiment, continuous monitoring simulation can be performed based on the digital twin to determine the cable joints whose accuracy of the inferred reference analysis results does not meet the requirements. Corresponding monitoring sensors can be added or they can be inspected regularly.

[0091] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0092] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A partial discharge monitoring system for the middle head of a distribution network cable, characterized in that: It includes information module, layout analysis module, monitoring module and analysis module; The information module is used to process the distribution network cable information within the detection area and establish a corresponding digital twin; The layout analysis module is used to set corresponding monitoring sensors for the distribution network cables, identify the joint information of each cable joint based on the digital twin, calculate the similarity between the joint information, and classify the cable joints with similarity greater than a threshold X1 into one category to obtain several initial classifications; Based on the digital twin, the cable joints in the initial classification are monitored and simulated to determine the installation locations of the corresponding monitoring sensors, and the corresponding monitoring sensors are set according to the installation locations; The monitoring module is used to obtain monitoring data from each monitoring sensor in real time; The analysis module is used to analyze the cable joints in the detection area, identify the cable joints corresponding to the monitoring sensors, and mark the cable joints as reference joints; analyze the reference joints based on 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 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; The analysis reference results of the reference joints within the joint classification are determined according to the analysis results of the corresponding benchmark joints within the joint classification, and the analysis reference results and analysis results are marked at the corresponding cable joints in the digital twin.

2. A distribution network cable intermediate head partial discharge monitoring system according to claim 1, characterized in that: Monitoring simulation of cable joints within the initial classification is performed based on digital twins, including: Conduct monitoring planning simulation on cable joints based on comprehensive monitoring standards to obtain corresponding simulation planning methods; Optimize and adjust the simulation planning method through digital twins to obtain the corresponding candidate planning method; Screen the various candidate planning methods, determine the target planning method, and determine the installation location of the corresponding monitoring sensor according to the target planning method.

3. A distribution network cable intermediate head partial discharge monitoring system according to claim 2, characterized in that: Optimize and adjust simulation planning methods through digital twins, including: Step SA1: Identify each simulated installation point corresponding to the simulated planning method and mark the simulated installation point accordingly in the digital twin; Step SA2: setting simulation background data, and arbitrarily sorting the simulation background data to form a simulation sequence; Step SA3: The digital twin classifies the cable connectors according to the simulation background data corresponding to the simulation sequence to obtain connector classifications corresponding to the simulation background data; and removes the simulation background data from the simulation sequence; Each connector category corresponds to a monitoring sensor, and the simulated installation point that can monitor any cable connector in the connector category is regarded as a candidate point corresponding to the simulated background data; According to the candidate points corresponding to each joint classification, corresponding candidate combinations are formed, and the combination set of the simulation background data is formed by each candidate combination; Step SA4: loop step SA3 until there is no simulation background data in the simulation sequence, and obtain several combination sets; identify the intersection of each combination set, and form corresponding candidate planning methods according to the candidate combinations corresponding to the intersection.

4. A distribution network cable intermediate head partial discharge monitoring system according to claim 3, characterized in that: The digital twin classifies the cable joints based on the simulated background data, including: The digital twin is used to evaluate the status of each cable joint according to the simulated background data to obtain the status evaluation results of the corresponding cable joints; According to the status assessment results, it is judged whether the corresponding cable joints meet the merging requirements to obtain the merging judgment results; according to the merging judgment results between the various cable joints, they are merged to obtain the corresponding joint classification.

5. A distribution network cable intermediate head partial discharge monitoring system according to claim 4, characterized in that: Determine whether the corresponding cable joints meet the merging requirements based on the status assessment results, including: Establish a merger judgment model, the expression of the merger judgment model is: ; Where: (s1, s2) is the input data, s1 and s2 are the state evaluation results for merging judgment; Indicates that s1 and s2 meet the merging requirements; the output data is the merge judgment value HP(s1, s2), which is 1 or 0; Analyze the status evaluation results between corresponding cable joints through the combined judgment model to obtain the combined judgment values ​​between corresponding cable joints; When the merge judgment value is 1, the merge judgment result is that the merge requirement is met; When the merge judgment value is 0, the merge judgment result is that the merge requirement is not met.

6. A distribution network cable intermediate head partial discharge monitoring system according to claim 2, characterized in that: Screening of various planning options, 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 distribution network cable intermediate head partial discharge monitoring system according to claim 1, characterized in that: It also includes a similar calibration module, which is used to perform calibration analysis on the analysis results and analysis reference results within the joint classification to obtain corresponding calibration results.

8. A distribution network cable intermediate head partial discharge monitoring system according to claim 7, characterized in that: Perform calibration analysis, including: The standard result record of the corresponding analysis reference result is obtained in real time, and the analysis reference result is calibrated according to the standard result record to obtain the corresponding calibration result.

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