A method and device for testing performance of power cables

Abstract

The present application relates to the technical field of power cable testing, in particular, a method and device for testing the performance of power cables. The method comprises: obtaining the historical operation data of multiple batches of cables respectively; the historical operation data comprises the performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters comprise the conductor resistance, insulation resistance and withstand voltage performance; according to the performance parameters of each batch of cables and the corresponding time nodes, a degradation relationship model is constructed by a multivariate linear regression algorithm; the performance parameters of the target cable are input into the degradation relationship model to obtain the remaining service time of the target cable; when the difference between the planned service time and the remaining service time of the target cable exceeds the first threshold, performance degradation prompt information is output; the planned service time is used to characterize the difference between the scheduled service time and the service time of the target cable; the present application can effectively judge the current working performance of the power cable and avoid the unpredictable early scrapping.

Description

Technical Field

[0001] The present application relates to the technical field of power cable testing, and in particular to a power cable performance testing method and device. Background Art

[0002] Power cables are cables used to transmit electrical energy. Their main function is to safely transmit power from power stations to various loads or power terminal equipment. Power cables are widely used in power systems, including main power grids, distribution networks, and industrial, commercial and residential electricity.

[0003] At present, the performance testing of power cables mostly stays at the factory stage. Faced with different working environments, the performance of power cables will also degrade to varying degrees, resulting in premature scrapping. As a result, the existing testing methods are unable to accurately judge the current working performance of power cables. Summary of the invention

[0004] Based on this, it is necessary to provide a power cable performance testing method and device to address the above technical issues.

[0005] In a first aspect, the present application provides a method for testing performance of a power cable; the method comprises:

[0006] The historical operation data of multiple batches of cables are obtained respectively; the historical operation data includes the performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance;

[0007] According to the performance parameters of each batch of cables and the corresponding time nodes, a degradation relationship model is constructed through a multivariate linear regression algorithm;

[0008] Input the performance parameters of the target cable into the degradation relationship model to obtain the remaining service life of the target cable;

[0009] When the difference between the planned service time and the remaining service time of the target cable exceeds a first threshold, performance degradation prompt information is output; the planned service time is used to characterize the difference between the scheduled service time and the actual service time of the target cable.

[0010] In one embodiment, the method further comprises:

[0011] When the performance degradation prompt information is output, the working environment parameters of the target cable are obtained; the working environment parameters include the ambient temperature, the ambient humidity and the workload;

[0012] An aging state prediction simulation model is constructed according to the rated parameters, working environment parameters and service time of the target cable to obtain the performance prediction parameters of the target cable; the performance prediction parameters are used to characterize the prediction results of the performance parameters of the target cable that has been in service;

[0013] Input the performance prediction parameters into the degradation relationship model to obtain the remaining service prediction time of the target cable;

[0014] When the difference between the remaining predicted service time and the remaining service time exceeds a second threshold, abnormal degradation prompt information is output; the abnormal degradation prompt information is used to characterize that the cable is subjected to stress damage.

[0015] In one embodiment, the method further comprises:

[0016] In response to the output of abnormal degradation prompt information, the conductor resistance increase rate and insulation resistance decrease rate of the target cable at each time node in the life cycle are calculated according to the performance parameters of the target cable at each time node in the life cycle;

[0017] Calling the working environment parameters corresponding to the time node when the conductor resistance increase rate exceeds the first preset percentage, or the insulation resistance decrease rate exceeds the second preset percentage;

[0018] If the working environment parameters are all within the safe range, the time node corresponding to the conductor resistance increase rate exceeding the first preset percentage or the time node corresponding to the insulation resistance decrease rate exceeding the second preset percentage is marked as an abnormal time node.

[0019] In one embodiment, the method further comprises:

[0020] In response to the remaining service time being less than a third threshold, capturing infrared images of a plurality of different positions on the target cable at preset interval lengths;

[0021] Performing grayscale transformation on the infrared image to obtain the image grayscale of the infrared image, and sorting the corresponding infrared images according to the highest grayscale value of the image grayscale;

[0022] An interval is set, and when the difference between the highest grayscale values ​​of adjacently ordered infrared images exceeds the interval, the position corresponding to each infrared image with the highest grayscale value exceeding the interval is marked as a defect position;

[0023] Repeatedly capture infrared images of multiple different positions on the target cable at preset intervals, compare them with the highest grayscale value of the infrared image at the defect location, and mark the corresponding position of the infrared image with the highest grayscale value exceeding the defect location as the new defect location, until the entire length of the cable is traversed and each defect location is output.

[0024] In one embodiment, the method further comprises:

[0025] In response to the defect density of any cable segment of a preset interval length being greater than a first preset defect density, outputting a first maintenance plan prompt for the cable segment; the first maintenance plan prompt is used to instruct to replace the cable segment;

[0026] When the proportion of the cable segments to be replaced exceeds a third preset percentage of the total length of the target cable, a second maintenance plan prompt is output; the second maintenance plan prompt includes replacing the target cable as a whole.

[0027] In one embodiment, the method further comprises:

[0028] In response to the existence of a cable segment to be replaced in the target cable, when it is determined that the defect density of an adjacent cable segment of the cable segment to be replaced exceeds a second preset defect density, a first maintenance plan prompt for the adjacent cable segment is output; the second preset defect density is less than the first preset defect density.

[0029] In one embodiment, the method further comprises:

[0030] In response to the target cable being located in a trunk line of a single power supply network, when the proportion of cable segments to be replaced exceeds a fourth preset percentage of the total length of the target cable, a second maintenance plan prompt is output, and the infrared image monitoring and early warning of the target cable is turned on; the fourth preset percentage is greater than the third preset percentage; the infrared image monitoring and early warning is used to capture infrared images of each defective position of the target cable according to a preset period, and to alarm when the highest grayscale value of the infrared image exceeds the preset grayscale value.

[0031] In a second aspect, the present application also provides a power cable performance testing device, the device comprising:

[0032] An acquisition module is used to respectively acquire historical operation data of multiple batches of cables; the historical operation data includes performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance;

[0033] A model building module is used to build a degradation relationship model through a multivariate linear regression algorithm based on the performance parameters of each batch of cables and the corresponding time nodes;

[0034] An input module, used for inputting the performance parameters of the target cable into the degradation relationship model to obtain the remaining service life of the target cable;

[0035] The information output module is used to output performance degradation prompt information when the difference between the planned service time and the remaining service time of the target cable exceeds a first threshold; the planned service time is used to characterize the difference between the scheduled service time and the service time of the target cable.

[0036] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.

[0037] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0038] The above-mentioned power cable performance testing method and device can respectively obtain the historical operation data of multiple batches of cables, construct a degradation relationship model through the correspondence between the performance parameters in the historical operation data and the selected time nodes, and input the performance parameters of the current target cable into the degradation relationship model to determine at which time node the target cable is currently in its life cycle, so as to determine the theoretical remaining service time of the target cable, and then compare the planned service time that the target cable can actually continue to serve with the remaining service time estimated in the model, and output performance degradation prompt information when the difference between the planned service time and the theoretical service time exceeds a first threshold, which can effectively judge the current working performance of the power cable and avoid unpredictable early scrapping. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A flowchart of the steps of judging the performance degradation of a power cable in one embodiment;

[0041] Figure 2 A flowchart of the steps of judging stress damage of a power cable in one embodiment;

[0042] Figure 3 A flowchart of the steps of determining an abnormal time node in an embodiment;

[0043] Figure 4 A flowchart of defect location acquisition steps in one embodiment;

[0044] Figure 5 A flowchart of steps for providing a maintenance solution in one embodiment;

[0045] Figure 6 The figure is a structural block diagram of a power cable performance testing device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0048] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0049] In this application, unless otherwise clearly specified and limited, the terms "connected", "connection" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0050] It should be noted that when an element is considered to be "connected" to another element, it can be directly connected to the other element, or connected to the other element through an intermediate element. In addition, the "connection" in the following embodiments should be understood as "electrical connection", "communication connection", etc. if there is transmission of electrical signals or data between the connected objects.

[0051] In an exemplary embodiment, Figure 1 As shown, a method for testing the performance of a power cable is provided, and the method includes the following steps S202 to S208. Among them:

[0052] S202, respectively obtain historical operation data of multiple batches of cables; the historical operation data include performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance.

[0053] Specifically, the performance parameters can be tested by a tester during the working process of each batch of cables, or by testing each batch of cables during large-scale shutdown and maintenance during the specific implementation process. The test results are recorded in the database in the form of correspondence between time nodes and performance parameters.

[0054] Furthermore, the time nodes can be obtained based on the time of each downtime inspection and maintenance, so the selection of time nodes for each batch can be different, thereby realizing the testing of performance parameters of multiple time nodes in the entire life cycle of the cable.

[0055] It should be noted that the time node corresponds to the life cycle of the cable. After the cable ends its service, the total service time can be used to determine at which time node in the cable life cycle the downtime for maintenance occurs.

[0056] S204: constructing a degradation relationship model through a multivariate linear regression algorithm according to the performance parameters of each batch of cables and the corresponding time nodes.

[0057] Specifically, when there are performance parameters of multiple different batches of power cables at the same time node, the distribution of each performance parameter at the same time node can be observed by calculating the variance. After eliminating the performance parameters with a large degree of discreteness, the average value of the same type of performance parameters at the remaining same time node, such as conductor resistance, insulation resistance or withstand voltage performance, is taken, and the average value is used to construct a degradation relationship model.

[0058] Specifically, the corresponding relationship between parameters from multiple angles such as conductor resistance, insulation resistance and withstand voltage performance and time nodes in the life cycle is determined through a multivariate linear regression algorithm.

[0059] S206, inputting the performance parameters of the target cable into the degradation relationship model to obtain the remaining service life of the target cable.

[0060] Specifically, the time node of the target cable's life cycle can be determined based on the performance parameters of the target cable, and the remaining service life of the target cable can be determined.

[0061] S208, when the difference between the planned service time and the remaining service time of the target cable exceeds a first threshold, output performance degradation prompt information; the planned service time is used to characterize the difference between the scheduled service time and the actual service time of the target cable.

[0062] Specifically, the planned service life of the target cable is the difference between the actual service life of the target cable and the scheduled service life rated at the time of leaving the factory. The normalization method can be used to correspond the percentage of the actual service time to the scheduled service time with the time node adopted for the theoretical calculation of the performance parameters, and then determine the difference between the planned service time and the remaining service time.

[0063] It is understandable that when there is a difference between the remaining service time calculated by the performance parameters and the planned service time in actual conditions, it means that the target cable has a certain degree of degradation, resulting in it not being able to reach the planned service time, and thus a prompt message is output to remind the staff that the target cable may be damaged or the working environment is an aging working environment. Among them, the dangerous environment of the aging working environment may include high ambient temperature, high ambient humidity, strong corrosion or high load intensity.

[0064] The present application provides a power cable performance testing method and device, which can respectively obtain historical operation data of multiple batches of cables, construct a degradation relationship model through the correspondence between performance parameters in the historical operation data and selected time nodes, and input the performance parameters of the current target cable into the degradation relationship model to determine at which time node in the life cycle the target cable is currently located, so as to determine the theoretical remaining service time of the target cable, and then compare the planned service time that the target cable can actually continue to serve with the remaining service time estimated in the model, and output performance degradation prompt information when the difference between the planned service time and the theoretical service time exceeds a first threshold, which can effectively judge the current working performance of the power cable and avoid unpredictable early scrapping.

[0065] In an exemplary embodiment, the road paving process includes a roadbed filling process, a side ditch slope protection road piling process, and a material transportation process; Figure 2 As shown, the method further includes the following steps S302 to S308. Among them:

[0066] S302, when outputting the performance degradation prompt information, obtaining the working environment parameters of the target cable; the working environment parameters include the ambient temperature, the ambient humidity and the workload.

[0067] It is understandable that excessively high ambient temperature and excessive workload will cause the operating temperature of the cable to rise, thereby causing aging of the conductor and insulation during long-term operation, while excessive humidity can easily cause chemical reactions, increase conductivity and affect mechanical properties.

[0068] S304, constructing an aging state prediction simulation model according to the rated parameters, working environment parameters and service time of the target cable to obtain performance prediction parameters of the target cable; the performance prediction parameters are used to characterize the prediction results of the performance parameters of the target cable that has been in service.

[0069] The rated parameters include the rated voltage, rated current, conductor material, insulation material, shielding type, twisting method and filling type of the target cable.

[0070] Specifically, the construction of the simulation model can be obtained through the performance parameters of each batch of cables under different ambient temperatures, ambient humidity and workloads during the specific implementation process; since the target cable is different from other batches of cables only in the production batch, the performance prediction parameters can be obtained through the rated parameters, working environment parameters and corresponding service time of the target cable.

[0071] S306, inputting the performance prediction parameters into the degradation relationship model to obtain the remaining service prediction time of the target cable.

[0072] Specifically, the remaining service time of the target cable may be predicted to obtain the predicted remaining service time.

[0073] S308: When the difference between the remaining predicted service time and the remaining service time exceeds a second threshold, output abnormal degradation prompt information; the abnormal degradation prompt information is used to indicate that the cable is subjected to stress damage.

[0074] Specifically, under the conditions of the same working environment parameters, the same rated parameters and the service time, if the difference between the remaining predicted service time and the remaining service time exceeds the second threshold, it indicates that the target cable has stress damage, resulting in accelerated aging.

[0075] In an exemplary embodiment, Figure 3 As shown, the method further includes the following steps S402 to S406. Among them:

[0076] S402, in response to outputting abnormal degradation prompt information, according to the performance parameters of the target cable at each time node in its life cycle, respectively calculate the conductor resistance increase rate and insulation resistance decrease rate of the target cable at each time node in its life cycle.

[0077] Specifically, excessive conductor resistance increase rate and insulation resistance decrease rate can be used to indicate abnormal degradation of the power cable. Therefore, by obtaining the conductor resistance increase rate and insulation resistance decrease rate of the power cable, it is possible to reveal the time node of abnormal degradation and trace the cause of abnormal degradation.

[0078] S404, calling the working environment parameters corresponding to the time node when the conductor resistance increase rate exceeds the first preset percentage or the insulation resistance decrease rate exceeds the second preset percentage.

[0079] S406: If the working environment parameters are all within a safe range, the time node corresponding to when the conductor resistance increase rate exceeds the first preset percentage or the time node corresponding to when the insulation resistance decrease rate exceeds the second preset percentage is marked as an abnormal time node.

[0080] Specifically, the working environment parameter being within the safe range is used to represent that the working environment parameter complies with the preset working environment of the power cable.

[0081] On the other hand, if the working environment is within a safe range, it can be used to predict the occurrence of accidental events at the corresponding time node, resulting in abnormal degradation of the power cable, including stress damage.

[0082] Specifically, stress damage includes fatigue damage caused by tensile stress, compressive stress and shear stress, creep damage and stress corrosion cracking.

[0083] In an exemplary embodiment, Figure 4 As shown, the method further includes the following steps S502 to S508. Among them:

[0084] S502: In response to the remaining service time being less than a third threshold, capturing infrared images of a plurality of different positions on the target cable at preset intervals.

[0085] Specifically, when the remaining service time is less than the third threshold, it can be used to characterize that the power cable is about to be scrapped. Therefore, it is necessary to check the defect state of the power cable through infrared images to avoid sudden failure of the power cable and the impact on production and life.

[0086] S504, performing grayscale transformation on the infrared image to obtain the image grayscale of the infrared image, and sorting the corresponding infrared images according to the highest grayscale value of the image grayscale.

[0087] Among them, the maximum grayscale value can be used to describe the heating temperature of the hottest heating point in the infrared image, and the heating condition of the cable can be judged by the maximum grayscale value.

[0088] S506, setting an interval, and when the difference between the highest grayscale values ​​of adjacently ordered infrared images exceeds the interval, marking the position corresponding to each infrared image having the highest grayscale value exceeding the interval as a defect position.

[0089] Specifically, if the difference between the highest grayscale values ​​of adjacently ordered infrared images exceeds the interval, it indicates that there is a hot spot that causes the highest grayscale value of the corresponding infrared image to be significantly different from that of other infrared images.

[0090] Furthermore, the cable position in the infrared image corresponding to the highest grayscale value is marked as the defect position.

[0091] S508, repeatedly capture infrared images of multiple different positions on the target cable at preset intervals, compare them with the highest grayscale value of the infrared image of the defective position, and mark the corresponding position of the infrared image whose highest grayscale value exceeds the defective position as a new defective position, until the entire length of the cable is traversed and each defective position is output.

[0092] Specifically, after the first defect location is determined, it can be used as a reference for subsequent defect locations until the entire length of the cable is traversed at preset intervals.

[0093] Specifically, by marking the defect location, the cable status can be effectively detected, the monitoring cost can be reduced, and the cable breakdown, discharge, etc. during operation can be effectively avoided.

[0094] In an exemplary embodiment, Figure 5 As shown, the method further includes the following steps S602 to S604. Among them:

[0095] S602: In response to the defect density of any cable segment of a preset interval length being greater than a first preset defect density, outputting a first maintenance plan prompt regarding the cable segment; the first maintenance plan prompt is used to instruct replacement of the cable segment.

[0096] Specifically, the defect density of any cable segment can be determined based on the preset interval length and defect location.

[0097] Furthermore, if the defect density of any cable segment is greater than the first preset defect density, the connection between the defects will further cause the power cable to be more prone to breakdown, discharge and aging. Therefore, the target cable is repaired by replacing the corresponding cable segment to extend the service life of the target cable.

[0098] S604: When the proportion of the cable segments to be replaced exceeds a third preset percentage of the total length of the target cable, output a second maintenance plan prompt; the second maintenance plan prompt includes replacing the target cable as a whole.

[0099] Specifically, if there are too many cable segments to be replaced, resulting in the proportion of the cable segments to be replaced exceeding a third preset percentage of the total length of the target cable, from the perspective of maintenance economy, the replacement of the cable segments is stopped and the entire target cable is replaced.

[0100] Furthermore, the third preset percentage can be obtained by comparing the price of replacing a single-segment cable with the price of replacing the entire cable during implementation.

[0101] In an exemplary embodiment, the method further comprises the steps of:

[0102] In response to the existence of a cable segment to be replaced in the target cable, when it is determined that the defect density of an adjacent cable segment of the cable segment to be replaced exceeds a second preset defect density, a first maintenance plan prompt for the adjacent cable segment is output; the second preset defect density is less than the first preset defect density.

[0103] Specifically, if there is a cable segment to be replaced, from the perspective of maintenance efficiency, the preset value of the defect density of the adjacent cable segment can be appropriately reduced to further enhance the risk resistance of the target cable.

[0104] In an exemplary embodiment, the method further comprises the steps of:

[0105] In response to the target cable being located in a trunk line of a single power supply network, when the proportion of cable segments to be replaced exceeds a fourth preset percentage of the total length of the target cable, a second maintenance plan prompt is output, and the infrared image monitoring and early warning of the target cable is turned on; the fourth preset percentage is greater than the third preset percentage; the infrared image monitoring and early warning is used to capture infrared images of each defective position of the target cable according to a preset period, and to alarm when the highest grayscale value of the infrared image exceeds the preset grayscale value.

[0106] Specifically, since the trunk line of a single-power network cannot be shut down for replacement at any time, the proportion of the cable segments to be replaced in the trunk line of the single-power network in the entire target cable is appropriately increased to extend the service life of the trunk line as much as possible.

[0107] Furthermore, in order to prevent the risk of cable failure that may occur due to extended use cycle, early warning is provided through infrared image monitoring.

[0108] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0109] Based on the same inventive concept, the embodiment of the present application also provides a power cable performance test device for implementing the power cable performance test method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the power cable performance test device provided below can refer to the limitations of the power cable performance test method above, and will not be repeated here.

[0110] Second, as Figure 6 As shown, the present application provides a power cable performance testing device 600, the device comprising:

[0111] The acquisition module 601 is used to respectively acquire the historical operation data of multiple batches of cables; the historical operation data includes performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance;

[0112] A model building module 602 is used to build a degradation relationship model through a multivariate linear regression algorithm according to the performance parameters of each batch of cables and the corresponding time nodes;

[0113] An input module 603 is used to input the performance parameters of the target cable into the degradation relationship model to obtain the remaining service time of the target cable;

[0114] The information output module 604 is used to output performance degradation prompt information when the difference between the planned service time and the remaining service time of the target cable exceeds a first threshold; the planned service time is used to represent the difference between the scheduled service time and the actual service time of the target cable.

[0115] Each module in the above-mentioned power cable performance test device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0116] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.

[0117] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.

[0118] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0119] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0120] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for testing the performance of a power cable, characterized in that: The method comprises: Acquire historical operation data of multiple batches of cables respectively; the historical operation data includes performance parameters corresponding to multiple time nodes selected during the life cycle of the cables; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance; According to the performance parameters of each batch of cables and the corresponding time nodes, a degradation relationship model is constructed by a multivariate linear regression algorithm; Inputting the performance parameters of the target cable into the degradation relationship model to obtain the remaining service life of the target cable; When the difference between the planned service time of the target cable and the remaining service time exceeds a first threshold, outputting performance degradation prompt information; the planned service time is used to characterize the difference between the scheduled service time and the service time of the target cable; In the case of outputting the performance degradation prompt information, obtaining the working environment parameters of the target cable; the working environment parameters include ambient temperature, ambient humidity and workload; An aging state prediction simulation model is constructed according to the rated parameters of the target cable, the working environment parameters and the service time to obtain performance prediction parameters of the target cable; the performance prediction parameters are used to characterize the prediction results of the performance parameters of the target cable after the service time; Inputting the performance prediction parameters into the degradation relationship model to obtain the remaining service prediction time of the target cable; When the difference between the remaining service prediction time and the remaining service time exceeds a second threshold, outputting abnormal degradation prompt information; the abnormal degradation prompt information is used to indicate that the target cable is subjected to stress damage; In response to outputting the abnormal degradation prompt information, according to the performance parameters of the target cable at each time node in the life cycle, respectively calculating the conductor resistance increase rate and the insulation resistance decrease rate of the target cable at each time node in the life cycle; Calling the working environment parameter corresponding to the time node when the conductor resistance increase rate exceeds a first preset percentage, or the insulation resistance decrease rate exceeds a second preset percentage; If the working environment parameters are all within the safe range, the time node corresponding to the conductor resistance increase rate exceeding the first preset percentage or the time node corresponding to the insulation resistance decrease rate exceeding the second preset percentage is marked as an abnormal time node; In response to the remaining service time being less than a third threshold, capturing infrared images of a plurality of different positions on the target cable at preset intervals; Performing grayscale transformation on the infrared image to obtain the image grayscale of the infrared image, and sorting the corresponding infrared images according to the highest grayscale value of the image grayscale; An interval is set, and when the difference between the highest grayscale values ​​of adjacently ordered infrared images exceeds the interval, the position corresponding to each infrared image with the highest grayscale value exceeding the interval is marked as a defect position; Repeatedly capture infrared images of multiple different positions on the target cable at preset intervals, compare them with the highest grayscale value of the infrared image of the defective position, and mark the corresponding position of the infrared image whose highest grayscale value exceeds the defective position as a new defective position, until the entire length of the cable is traversed and each defective position is output.

2. The method according to claim 1, characterized in that: The method further comprises: In response to the defect density of any cable segment of the preset interval length being greater than a first preset defect density, outputting a first maintenance plan prompt for the cable segment; the first maintenance plan prompt is used to instruct the cable segment to be replaced; When the proportion of the cable segments to be replaced exceeds a third preset percentage of the total length of the target cable, a second maintenance plan prompt is output; the second maintenance plan prompt includes replacing the target cable as a whole.

3. The method according to claim 2, characterized in that The method further comprises: In response to the existence of a cable segment to be replaced in the target cable, when it is determined that the defect density of an adjacent cable segment of the cable segment to be replaced exceeds a second preset defect density, a first maintenance plan prompt for the adjacent cable segment is output; the second preset defect density is less than the first preset defect density.

4. The method according to claim 2, characterized in that: The method further comprises: In response to the target cable being located in a trunk line of a single power supply network, when the cable segment to be replaced accounts for more than a fourth preset percentage of the total length of the target cable, a second maintenance plan prompt is output, and the infrared image monitoring and early warning of the target cable is turned on; the fourth preset percentage is greater than the third preset percentage; the infrared image monitoring and early warning is used to capture infrared images of each defective position of the target cable according to a preset period, and to alarm when the highest grayscale value of the infrared image exceeds a preset grayscale value.

5. A power cable performance testing device, applied to the method according to any one of claims 1 to 4, characterized in that: The device comprises: An acquisition module is used to respectively acquire historical operation data of multiple batches of cables; the historical operation data includes performance parameters corresponding to multiple time nodes selected during the life cycle of the cable; the performance parameters include conductor resistance, insulation resistance and withstand voltage performance; A model building module, used to build a degradation relationship model through a multivariate linear regression algorithm according to the performance parameters of each batch of cables and the corresponding time nodes; An input module, used to input the performance parameters of the target cable into the degradation relationship model to obtain the remaining service time of the target cable; An information output module is used to output performance degradation prompt information when the difference between the planned service time of the target cable and the remaining service time exceeds a first threshold; the planned service time is used to characterize the difference between the scheduled service time and the actual service time of the target cable.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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