Cable fault prediction system and method based on temperature change

Abstract

The invention discloses a cable fault prediction system and method based on temperature change, and the method comprises the steps: obtaining cable temperature data reported by a first temperature sensor within a preset time period, and generating a cable temperature change curve within the preset time period based on the cable temperature data, the first temperature sensor is a temperature sensor arranged on a cable to be monitored; environment temperature data reported by a second temperature sensor in a preset time period are obtained, an environment temperature change curve in the preset time period is generated based on the environment temperature data, and the second temperature sensor is a temperature sensor arranged in the to-be-monitored cable laying environment; identifying whether the change rule of the cable temperature change curve is consistent with the change rule of the environment temperature change curve; and under the condition that the change rules are inconsistent, a cable fault early warning is sent out. Through the technical scheme, the purpose of performing fault prediction on the to-be-monitored cable can be achieved, and the timeliness and the monitoring efficiency of cable fault monitoring are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of cable monitoring, and specifically relates to a cable fault prediction system and method based on temperature change. Background Art

[0002] Cable fault refers to a fault during the operation of the cable, which forces the cable line to shut down due to insulation breakdown, wire burnout, external force pulling, etc. Cable fault is one of the common problems in the power system, mainly including open circuit fault, high resistance fault and low resistance fault. In order to ensure the operation status of the cable, it is necessary to monitor the cable fault problem in time.

[0003] In the existing technology, cable inspectors are usually arranged to conduct regular inspections on the operating status of the monitored cables, or to receive power failure information from users in real time. Cable maintenance personnel analyze the causes of cable failures based on the power failure phenomena, and then perform cable failure maintenance. However, the use of existing technology requires a lot of manpower costs, and can only perform maintenance when the cable has already failed, but cannot predict the upcoming failure problems. There are problems such as untimely cable failure monitoring and low monitoring efficiency. Summary of the invention

[0004] The purpose of the embodiment of the present application is to provide a cable fault prediction system and method based on temperature changes, which solves the problems of insufficient timeliness and low monitoring efficiency of cable fault monitoring existing in related technologies. A cable temperature change curve is generated by acquiring cable temperature data within a preset time period, and an ambient temperature change curve is generated by acquiring ambient temperature data within a preset time period. When the cable temperature change curve is inconsistent with the ambient temperature change curve, a cable fault warning is issued, thereby achieving the purpose of fault prediction for the monitored cable and improving the timeliness and efficiency of cable fault monitoring.

[0005] In a first aspect, an embodiment of the present application provides a cable fault prediction method based on temperature change, the method comprising:

[0006] Acquire cable temperature data reported by a first temperature sensor within a preset time period, and generate a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor disposed on the cable to be monitored;

[0007] Acquire ambient temperature data reported by a second temperature sensor within a preset time period, and generate an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid;

[0008] Identify whether the variation law of the cable temperature variation curve is consistent with the variation law of the ambient temperature variation curve;

[0009] When the changing rules are inconsistent, a cable fault warning is issued.

[0010] Further, the identifying whether the variation rule of the cable temperature variation curve is consistent with the variation rule of the ambient temperature variation curve includes:

[0011] Calculating the similarity between the cable temperature change curve and the ambient temperature change curve, and identifying whether the similarity is greater than a preset similarity threshold;

[0012] If the similarity is greater than the preset similarity threshold, it is determined that the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve;

[0013] If the similarity is less than or equal to the preset similarity threshold, it is determined that the variation rule of the cable temperature variation curve is inconsistent with the variation rule of the ambient temperature variation curve.

[0014] Further, after identifying whether the variation law of the cable temperature variation curve is consistent with the variation law of the ambient temperature variation curve, the method further includes:

[0015] In the case where the change rules are consistent, reading the duration of the cable temperature reaching the preset warning temperature in the cable temperature data, and identifying whether the duration is greater than or equal to the preset warning duration;

[0016] When the duration is greater than or equal to the preset warning duration, a cable fault warning is issued.

[0017] Furthermore, after identifying whether the duration is greater than or equal to a preset warning duration, the method further includes:

[0018] In the case where the duration is less than the preset warning duration, identifying the statistical number of times the cable temperature change curve reaches the warning temperature, and identifying whether the statistical number reaches the preset warning number;

[0019] If the statistical number reaches the preset warning number, a cable fault warning is issued;

[0020] If the statistical number of times does not reach the preset warning number of times, the cable temperature data reported by the first temperature sensor and the ambient temperature data reported by the second temperature sensor continue to be received.

[0021] Furthermore, when the changing rules are inconsistent, issuing a cable fault warning includes:

[0022] In the case where the variation rules are inconsistent, determining the fault cause of the cable to be monitored according to the correlation between the cable temperature variation curve and the preset temperature variation curve and the cable fault cause;

[0023] A cable fault warning is issued based on the fault cause.

[0024] Further, the determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause includes:

[0025] Identifying a first variation law of the cable temperature variation curve;

[0026] Identify a second variation law of each temperature variation curve in the correlation relationship between the preset temperature variation curve and the cable fault cause;

[0027] Calculating the similarity ranking of the first change rule and the second change rule, and identifying the first two temperature change curves in the similarity ranking;

[0028] The fault cause associated with the first two temperature change curves is used as the fault cause of the cable to be monitored.

[0029] Further, the determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause includes:

[0030] Determining a first maximum temperature of the cable to be monitored within the preset time period according to the cable temperature change curve;

[0031] Reading the second maximum temperature of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause;

[0032] A fault cause associated with a temperature variation curve in the second temperature maximum value that is equal to the first temperature maximum value is identified, and the fault cause is used as the fault cause of the cable to be monitored.

[0033] In a second aspect, an embodiment of the present application provides a cable fault prediction system based on temperature change, the system comprising:

[0034] A cable temperature curve generating module, used to obtain cable temperature data reported by a first temperature sensor within a preset time period, and generate a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor provided on the cable to be monitored;

[0035] An ambient temperature curve generating module is used to obtain ambient temperature data reported by a second temperature sensor within a preset time period, and generate an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid;

[0036] A curve rule recognition module, used to recognize whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve;

[0037] The fault warning module is used to issue a cable fault warning when the change rules are inconsistent.

[0038] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0039] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0040] In the fifth aspect, an embodiment of the present application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium, and at least one processor of the device reads and executes the computer program from the computer-readable storage medium, so that the device performs the method described in the first aspect.

[0041] In an embodiment of the present application, the cable temperature data reported by the first temperature sensor within a preset time length is obtained, and a cable temperature change curve within the preset time length is generated based on the cable temperature data, wherein the first temperature sensor is a temperature sensor arranged on the cable to be monitored; the ambient temperature data reported by the second temperature sensor within the preset time length is obtained, and an ambient temperature change curve within the preset time length is generated based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in the cable laying environment to be monitored; it is identified whether the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve; and when the change law is inconsistent, a cable fault warning is issued. The above-mentioned cable fault prediction method based on temperature change solves the problems of insufficient timeliness and low monitoring efficiency of cable fault monitoring existing in the related art, and generates a cable temperature change curve by obtaining the cable temperature data within the preset time length, and generates an ambient temperature change curve by obtaining the ambient temperature data within the preset time length, and issues a cable fault warning when the change law of the cable temperature change curve is inconsistent with that of the ambient temperature change curve, thereby achieving the purpose of fault prediction for the cable to be monitored, and improving the timeliness and monitoring efficiency of cable fault monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of a cable fault prediction method based on temperature change provided in an embodiment of the present application;

[0043] Figure 2 is a flow chart of another cable fault prediction method based on temperature change provided in an embodiment of the present application;

[0044] Figure 3 is a flow chart of another cable fault prediction method based on temperature change provided in an embodiment of the present application;

[0045] Figure 4 It is a structural block diagram of a cable fault prediction system based on temperature change provided in an embodiment of the present application;

[0046] Figure 5 It is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0048] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0049] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0050] First of all, the usage scenario of this solution can be the scenario of monitoring cable faults, especially the scenario of providing fault warning for cables that are about to fail. By comparing the cable temperature change curve within a preset time period with the ambient temperature change curve of the cable laying environment to see if the change pattern is consistent, a fault warning is provided for the monitored cable, which can achieve the purpose of fault prediction for the monitored cable and improve the timeliness and efficiency of cable fault monitoring. Based on the above usage scenarios, it can be understood that the executor of this solution can be an electronic device, such as smart terminals such as mobile phones and computers.

[0051] In the following, in conjunction with the accompanying drawings, a cable fault prediction system and method based on temperature change provided by an embodiment of the present application are described in detail through specific embodiments and their application scenarios.

[0052] Figure 1 1 is a flow chart of a cable fault prediction method based on temperature change provided in an embodiment of the present application. Figure 1 As shown, the specific steps include:

[0053] S101, obtaining cable temperature data reported by a first temperature sensor within a preset time period, and generating a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor disposed on the cable to be monitored.

[0054] The first temperature sensor may be a device for obtaining the temperature data of the cable itself. The first temperature sensor is arranged on the cable to be monitored. The cable temperature data may be the temperature of the cable in operation at various time points. The cable temperature data may include the time point of temperature monitoring and the temperature data of the cable monitored at various time points. The cable temperature change curve may be a curve of the cable temperature data changing with the monitoring time, which is generated with the monitoring time point as the horizontal coordinate and the cable temperature data as the vertical coordinate.

[0055] In one embodiment, the cable temperature data reported by the first temperature sensor within a preset time period can be obtained by reading the data in the storage unit, and the cable temperature data within a preset time period can also be obtained by receiving the data reported by the first temperature sensor in real time. The cable temperature monitoring time point and the cable temperature data monitored at each time point are determined according to the cable temperature data, and the cable temperature change curve within the preset time period is generated with the temperature monitoring time point as the horizontal coordinate and the cable temperature data monitored at each time point as the vertical coordinate.

[0056] S102, obtaining ambient temperature data reported by a second temperature sensor within a preset time period, and generating an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid.

[0057] The second temperature sensor may be a device for obtaining temperature data around the cable in the cable laying environment. The second temperature sensor is arranged in the cable laying environment to be monitored. The ambient temperature data may be the temperature around the cable in the cable laying environment. The ambient temperature change curve may be a curve of ambient temperature data changing with monitoring time, which is generated with the monitoring time point as the horizontal coordinate and the ambient temperature data as the vertical coordinate. The monitoring time point of the ambient temperature data may be the same as the monitoring time point of the cable temperature data.

[0058] In one embodiment, the ambient temperature data reported by the second temperature sensor within a preset time period can be obtained by reading the data in the storage unit, and the ambient temperature data within a preset time period can also be obtained by receiving the data reported by the second temperature sensor in real time. The ambient temperature monitoring time points of the cable laying environment and the cable ambient temperature data monitored at each time point are determined according to the ambient temperature data, and the ambient temperature change curve within the preset time period is generated with the temperature monitoring time points as the horizontal coordinates and the cable ambient temperature data monitored at each time point as the vertical coordinates.

[0059] S103, identifying whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve.

[0060] The variation law of the cable temperature variation curve may be that the cable temperature variation curve increases, decreases, or remains unchanged as the monitoring time point changes. The variation law of the ambient temperature variation curve may be that the ambient temperature variation curve increases, decreases, or remains unchanged as the monitoring time point changes.

[0061] In one embodiment, the changing law of the cable temperature change curve and the changing law of the ambient temperature change curve can be identified by using technologies such as image recognition, and whether the changing law of the cable temperature change curve is consistent with the changing law of the ambient temperature change curve is determined based on whether the turning point of the cable temperature change curve is consistent with the turning point of the ambient temperature change curve, and whether the turning characteristics of the cable temperature change curve are consistent with the turning characteristics of the ambient temperature change curve. The turning characteristics can be the turning mode of the curve. For example: turning from an upward trend to a downward trend, etc.

[0062] In one embodiment, optionally, identifying whether a change rule of the cable temperature change curve is consistent with a change rule of the ambient temperature change curve includes:

[0063] Calculate the similarity between the cable temperature change curve and the ambient temperature change curve, and identify whether the similarity is greater than a preset similarity threshold;

[0064] If the similarity is greater than a preset similarity threshold, it is determined that the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve;

[0065] If the similarity is less than or equal to a preset similarity threshold, it is determined that the variation rule of the cable temperature variation curve is inconsistent with the variation rule of the ambient temperature variation curve.

[0066] The preset similarity threshold may be a preset minimum value of the similarity between the cable temperature change curve and the ambient temperature change curve when the cable is not faulty. The change law of the cable temperature change curve should be consistent with the change law of the ambient temperature change curve when the cable is not faulty.

[0067] In one embodiment, the curve similarity calculation formula can be used to calculate the curve similarity between the cable temperature change curve and the ambient temperature change curve, and determine whether the curve similarity between the cable temperature change curve and the ambient temperature change curve is greater than the preset similarity threshold according to the curve similarity and the preset similarity threshold. If it is greater than the preset similarity threshold, it means that the similarity between the cable temperature change curve and the ambient temperature change curve is high, and it can be determined that the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve. If it is less than or equal to the preset similarity threshold, it means that the similarity between the cable temperature change curve and the ambient temperature change curve is low, and it can be determined that the change law of the cable temperature change curve is inconsistent with the change law of the ambient temperature change curve.

[0068] This solution calculates the similarity between the cable temperature change curve and the ambient temperature change curve, and identifies whether the similarity is greater than a preset similarity threshold to determine whether the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve, thereby improving the efficiency and accuracy of identifying whether the curve change laws are consistent.

[0069] S104, when the changing rules are inconsistent, a cable fault warning is issued.

[0070] The cable fault warning may be information used to remind cable maintenance personnel that a fault exists in the cable to be monitored.

[0071] In one embodiment, when the variation pattern of the cable temperature variation curve is inconsistent with the variation pattern of the ambient temperature variation curve, it can be determined that the cable temperature data is abnormal, and a cable fault warning for the cable can be issued based on the cable identification.

[0072] The technical solution provided by the embodiment of the present application is to obtain the cable temperature data reported by the first temperature sensor within a preset time length, generate the cable temperature change curve within the preset time length based on the cable temperature data, the first temperature sensor is a temperature sensor arranged on the cable to be monitored; obtain the ambient temperature data reported by the second temperature sensor within the preset time length, generate the ambient temperature change curve within the preset time length based on the ambient temperature data, the second temperature sensor is a temperature sensor arranged in the cable laying environment to be monitored; identify whether the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve; in the case of inconsistent change laws, issue a cable fault warning. Through the above-mentioned cable fault prediction method based on temperature change, the problems of insufficient timeliness and low monitoring efficiency of cable fault monitoring existing in the related art are solved, by obtaining the cable temperature data within the preset time length to generate the cable temperature change curve, obtaining the ambient temperature data within the preset time length to generate the ambient temperature change curve, and in the case of inconsistent change laws of the cable temperature change curve and the ambient temperature change curve, issue a cable fault warning, which can achieve the purpose of fault prediction for the cable to be monitored, and improve the timeliness and monitoring efficiency of cable fault monitoring.

[0073] Figure 2 FIG. 1 is a flow chart of another cable fault prediction method based on temperature change provided in an embodiment of the present application. Figure 2 As shown, the specific steps include:

[0074] S201, obtaining cable temperature data reported by a first temperature sensor within a preset time period, and generating a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor disposed on the cable to be monitored.

[0075] S202, obtaining ambient temperature data reported by a second temperature sensor within a preset time period, and generating an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid.

[0076] S203, identifying whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve.

[0077] S204, when the changing rules are consistent, reading the duration of the cable temperature reaching the preset warning temperature in the cable temperature data, and identifying whether the duration is greater than or equal to the preset warning duration.

[0078] The preset warning temperature may be a preset maximum temperature when the cable is not faulty. The preset warning duration may be a preset maximum duration for which the preset warning temperature can last when the cable is not faulty.

[0079] In one embodiment, when the variation law of the cable temperature variation curve is consistent with the variation law of the ambient temperature variation curve, it can be determined that the variation trend of the cable temperature changes with the ambient temperature of the installation environment, but the specific value of the cable temperature may be too large, that is, the cable temperature data may be greater than or equal to the preset warning temperature at certain monitoring time points. When the cable temperature data is too large and lasts for too long, it indicates that the cable has a fault problem during operation. The monitoring time point when the cable temperature reaches the preset warning temperature can be determined by reading the cable temperature data, and the duration of the cable temperature reaching the preset warning temperature can be determined by identifying whether the monitoring time point is a continuous monitoring time point. Compare whether the duration of the cable temperature reaching the preset warning temperature is greater than or equal to the preset warning duration.

[0080] In one embodiment, optionally, after identifying whether the duration is greater than or equal to a preset warning duration, the method further includes:

[0081] When the duration is less than the preset warning duration, identify the statistical number of times the cable temperature change curve reaches the warning temperature, and identify whether the statistical number reaches the preset warning number;

[0082] If the statistical number reaches the preset warning number, a cable fault warning will be issued;

[0083] If the statistical times do not reach the preset warning times, the cable temperature data reported by the first temperature sensor and the ambient temperature data reported by the second temperature sensor continue to be received.

[0084] The statistical number may be the total number of times the cable temperature data reaches the warning temperature within a preset time period. The preset warning number may be the maximum number of times the cable temperature data reaches the warning temperature data when no cable failure occurs.

[0085] In one embodiment, when the duration of the cable temperature reaching the preset warning temperature in the cable temperature data is less than the preset warning duration, a straight line passing through the warning temperature on the vertical axis and parallel to the horizontal axis can be drawn on the cable temperature change curve, and the statistical number of warning temperatures is determined by identifying the number of intersections between the cable temperature change curve and the straight line. It is identified whether the statistical number is greater than or equal to the preset warning number. If it is greater than or equal to the preset warning number, a cable fault warning for the cable is issued to the cable maintenance terminal; if it is less than the preset warning number, the cable temperature data reported by the first temperature sensor and the ambient temperature data reported by the second temperature sensor are continued to be received to continue monitoring the cable.

[0086] This solution can further improve the accuracy of cable fault judgment and the accuracy of cable fault warning by identifying the statistical number of times the cable temperature change curve reaches the warning temperature and whether the statistical number reaches the preset warning number to determine whether to issue a cable fault warning.

[0087] S205: When the duration is greater than or equal to the preset warning duration, a cable fault warning is issued.

[0088] In one embodiment, when the cable temperature reaches the preset warning temperature and lasts for a period greater than or equal to the preset warning period, it means that the cable temperature is too high at certain monitoring time points and lasts for too long. This indicates that a cable fault has occurred during operation, and a cable fault warning for the cable can be issued to the cable maintenance terminal.

[0089] The technical solution provided in the embodiment of the present application can achieve the purpose of cable fault warning based on the actual cable temperature by reading the duration of time when the cable temperature reaches the preset warning temperature, and issuing a cable fault warning when the duration is greater than or equal to the preset warning duration, thereby improving the accuracy of the cable fault warning.

[0090] Figure 3 FIG. 1 is a flow chart of another cable fault prediction method based on temperature change provided in an embodiment of the present application. Figure 3 As shown, the specific steps include:

[0091] S301, obtaining cable temperature data reported by a first temperature sensor within a preset time period, and generating a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor disposed on the cable to be monitored.

[0092] S302, obtaining ambient temperature data reported by a second temperature sensor within a preset time period, and generating an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid.

[0093] S303, identifying whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve.

[0094] S304: When the variation pattern is inconsistent, the fault cause of the cable to be monitored is determined according to the cable temperature variation curve and the correlation relationship between the preset temperature variation curve and the cable fault cause.

[0095] The association relationship between the preset temperature change curve and the cable fault cause may be a correspondence relationship between the temperature change curve and the fault cause that is preset according to the cable fault cause and the change law of the cable temperature change curve caused by each cause.

[0096] In one embodiment, when the changing pattern of the cable temperature change curve is inconsistent with the changing pattern of the ambient temperature change curve, it can be determined that there is a fault in the cable. According to the correlation relationship between the preset temperature change curve and the cable fault cause, a temperature change curve consistent with the changing pattern of the cable temperature change curve is searched, and the fault cause corresponding to the temperature change curve is identified, and the fault cause is determined as the fault cause of the cable to be monitored.

[0097] In one embodiment, optionally, determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause includes:

[0098] Identify the first change law of the cable temperature change curve;

[0099] Identify a second variation law of each temperature variation curve in the correlation relationship between the preset temperature variation curve and the cable fault cause;

[0100] Calculate the similarity ranking of the first change rule and the second change rule, and identify the first two temperature change curves in the similarity ranking;

[0101] The fault causes associated with the first two temperature change curves are taken as the fault causes of the cable to be monitored.

[0102] The first variation rule may be the characteristic of the actual cable temperature data of the monitored cable changing with the monitoring time. The second variation rule may be the characteristic of each temperature variation curve in the correlation relationship between the preset temperature variation curve and the cable fault cause. The similarity ranking may be the result of arranging the similarities between the first variation rule and each second variation rule in descending order.

[0103] In one embodiment, the first change law of the cable temperature change curve can be identified by image recognition and other technologies. The association between the preset temperature change curve and the cause of the cable fault can exist in the form of a list. The second change law of each temperature change curve is obtained by performing image recognition on each temperature change curve in the list. The similarity between the first change law and each second change law is calculated using a similarity calculation formula, and the similarities are sorted in order from large to small. The first two temperature change curves in the similarity sorting are identified, and the fault causes corresponding to the first two temperature change curves are used as the fault causes of the cable to be monitored. That is, there may be multiple fault causes for the fault of the cable to be monitored.

[0104] This scheme, by identifying the first change law of the cable temperature change curve and the similarity ranking of the second change law of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause, takes the fault cause associated with the temperature change curve ranked in the first two places in similarity as the fault cause of the cable to be monitored, thereby improving the accuracy of determining the cable fault cause.

[0105] In one embodiment, optionally, determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause includes:

[0106] Determine the first maximum temperature of the cable to be monitored within a preset time period according to the cable temperature change curve;

[0107] Reading the second maximum temperature of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause;

[0108] The fault cause associated with the temperature variation curve in the second temperature maximum value that is equal to the first temperature maximum value is identified, and the fault cause is used as the fault cause of the cable to be monitored.

[0109] The first maximum temperature value may be the maximum temperature value of the cable to be detected within a preset time period. The second maximum temperature value may be the maximum temperature value of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause.

[0110] In one embodiment, the first maximum temperature of the cable to be monitored within a preset time period can be determined based on the highest point of the cable temperature change curve. The highest point of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause is read, and the temperature value of the highest point of each temperature change curve is used as the second maximum temperature. The first maximum temperature is compared with each second maximum temperature, and the fault cause associated with the temperature change curve that is equal to the first maximum temperature in the second maximum temperature is used as the fault cause of the cable to be monitored.

[0111] This solution determines the fault cause of the cable to be monitored by identifying the first temperature maximum value of the cable to be monitored within a preset time period and the second temperature maximum value of each temperature change curve in the correlation relationship between the preset temperature change curve and the cable fault cause. This can further simplify the steps of determining the cable fault cause and improve the efficiency of cable fault warning.

[0112] S305, issuing a cable fault warning based on the fault cause.

[0113] In one embodiment, the fault cause may be written into the fault cause field of the fault warning, so as to issue a cable fault warning for the cable to the cable maintenance terminal based on the fault cause.

[0114] The technical solution provided in the embodiment of the present application can achieve the purpose of determining the cause of the cable failure by issuing a cable failure warning based on the correlation between the cable temperature change curve and the preset temperature change curve and the cause of the cable failure when the change law of the cable temperature change curve is inconsistent with the change law of the ambient temperature change curve, thereby achieving the purpose of determining the cause of the cable failure, improving the accuracy of the cable failure warning, and facilitating the maintenance of the monitored cable by cable maintenance personnel.

[0115] Figure 4 is a structural block diagram of a cable fault prediction system based on temperature change provided by an embodiment of the present application. Figure 4 As shown, specifically including the following:

[0116] The cable temperature curve generating module 401 is used to obtain the cable temperature data reported by the first temperature sensor within a preset time period, and generate the cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor arranged on the cable to be monitored;

[0117] The ambient temperature curve generating module 402 is used to obtain ambient temperature data reported by the second temperature sensor within a preset time period, and generate an ambient temperature change curve within a preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in the cable laying environment to be monitored;

[0118] The curve rule identification module 403 is used to identify whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve;

[0119] The fault warning module 404 is used to issue a cable fault warning when the changing rules are inconsistent.

[0120] Furthermore, the curve regularity recognition module 403 is specifically used for:

[0121] Calculate the similarity between the cable temperature change curve and the ambient temperature change curve, and identify whether the similarity is greater than a preset similarity threshold;

[0122] If the similarity is greater than a preset similarity threshold, it is determined that the change law of the cable temperature change curve is consistent with the change law of the ambient temperature change curve;

[0123] If the similarity is less than or equal to a preset similarity threshold, it is determined that the variation rule of the cable temperature variation curve is inconsistent with the variation rule of the ambient temperature variation curve.

[0124] Furthermore, the fault warning module 404 is also used for:

[0125] In the case of consistent change rules, read the duration of the cable temperature reaching the preset warning temperature in the cable temperature data, and identify whether the duration is greater than or equal to the preset warning duration;

[0126] When the duration is greater than or equal to the preset warning duration, a cable fault warning is issued.

[0127] Furthermore, the fault warning module 404 is also used for:

[0128] When the duration is less than the preset warning duration, identify the statistical number of times the cable temperature change curve reaches the warning temperature, and identify whether the statistical number reaches the preset warning number;

[0129] If the statistical number reaches the preset warning number, a cable fault warning will be issued;

[0130] If the statistical times do not reach the preset warning times, the cable temperature data reported by the first temperature sensor and the ambient temperature data reported by the second temperature sensor continue to be received.

[0131] Furthermore, the fault warning module 404 is specifically used for:

[0132] In the case of inconsistent change rules, the fault cause of the cable to be monitored is determined based on the cable temperature change curve and the correlation between the preset temperature change curve and the cable fault cause;

[0133] Cable fault warning is issued based on the cause of the fault.

[0134] Furthermore, the fault warning module 404 is specifically used for:

[0135] Identify the first change law of the cable temperature change curve;

[0136] Identify a second variation law of each temperature variation curve in the correlation relationship between the preset temperature variation curve and the cable fault cause;

[0137] Calculate the similarity ranking of the first change rule and the second change rule, and identify the first two temperature change curves in the similarity ranking;

[0138] The fault causes associated with the first two temperature change curves are taken as the fault causes of the cable to be monitored.

[0139] Furthermore, the fault warning module 404 is specifically used for:

[0140] Determine the first maximum temperature of the cable to be monitored within a preset time period according to the cable temperature change curve;

[0141] Reading the second maximum temperature of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause;

[0142] The fault cause associated with the temperature variation curve in the second temperature maximum value that is equal to the first temperature maximum value is identified, and the fault cause is used as the fault cause of the cable to be monitored.

[0143] The technical solution provided by the embodiment of the present application is a cable temperature curve generation module, which is used to obtain the cable temperature data reported by the first temperature sensor within a preset time, and generate the cable temperature change curve within the preset time based on the cable temperature data. The first temperature sensor is a temperature sensor set on the cable to be monitored; the environmental temperature curve generation module is used to obtain the environmental temperature data reported by the second temperature sensor within the preset time, and generate the environmental temperature change curve within the preset time based on the environmental temperature data. The second temperature sensor is a temperature sensor set in the cable laying environment to be monitored; the curve law recognition module is used to identify whether the change law of the cable temperature change curve is consistent with the change law of the environmental temperature change curve; the fault warning module is used to issue a cable fault warning when the change law is inconsistent. Through the above-mentioned cable fault prediction system based on temperature change, the problems of insufficient timeliness and low monitoring efficiency of cable fault monitoring in the related technology are solved. By obtaining the cable temperature data within the preset time to generate the cable temperature change curve, obtaining the environmental temperature data within the preset time to generate the environmental temperature change curve, and issuing a cable fault warning when the change law of the cable temperature change curve is inconsistent with the environmental temperature change curve, the purpose of fault prediction of the cable to be monitored can be achieved, and the timeliness and monitoring efficiency of cable fault monitoring are improved.

[0144] A cable fault prediction system based on temperature change in the embodiment of the present application can be configured in a device, or in a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0145] A cable fault prediction system based on temperature change in the embodiment of the present application may be an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0146] A cable fault prediction system based on temperature change provided in an embodiment of the present application can implement each process implemented in the above-mentioned method embodiments, and will not be described again here to avoid repetition.

[0147] like Figure 5 As shown, an embodiment of the present application also provides an electronic device 500, including a processor 501, a memory 502, and a program or instruction stored in the memory 502 and executable on the processor 501. When the program or instruction is executed by the processor 501, each process of the above-mentioned cable fault prediction method based on temperature change is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0148] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0149] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned cable fault prediction method embodiment based on temperature change are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0150] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0151] The present application embodiment further provides a program product, which includes a program code. When the program product is run on a computer device, the program code is used to enable the computer device to execute the steps of the method according to various exemplary embodiments of the present application described above in this specification. For example, the computer device can execute a cable fault prediction method based on temperature change recorded in the embodiment of the present application. The program product can be implemented in any combination of one or more readable media.

[0152] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0153] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0154] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0155] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A cable fault prediction method based on temperature change, characterized in that: The method comprises: Acquire cable temperature data reported by a first temperature sensor within a preset time period, and generate a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor disposed on the cable to be monitored; Acquire ambient temperature data reported by a second temperature sensor within a preset time period, and generate an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid; Identify whether the variation law of the cable temperature variation curve is consistent with the variation law of the ambient temperature variation curve; When the changing rules are inconsistent, a cable fault warning is issued.

2. The cable fault prediction method based on temperature change according to claim 1 is characterized in that: The identifying whether the variation rule of the cable temperature variation curve is consistent with the variation rule of the ambient temperature variation curve includes: Calculating the similarity between the cable temperature change curve and the ambient temperature change curve, and identifying whether the similarity is greater than a preset similarity threshold; If the similarity is greater than the preset similarity threshold, it is determined that the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve; If the similarity is less than or equal to the preset similarity threshold, it is determined that the variation rule of the cable temperature variation curve is inconsistent with the variation rule of the ambient temperature variation curve.

3. The cable fault prediction method based on temperature change according to claim 1, characterized in that: After identifying whether the variation rule of the cable temperature variation curve is consistent with the variation rule of the ambient temperature variation curve, the method further includes: In the case where the change rules are consistent, reading the duration of the cable temperature reaching the preset warning temperature in the cable temperature data, and identifying whether the duration is greater than or equal to the preset warning duration; When the duration is greater than or equal to the preset warning duration, a cable fault warning is issued.

4. The cable fault prediction method based on temperature change according to claim 3 is characterized in that: After identifying whether the duration is greater than or equal to a preset warning duration, the method further includes: In the case where the duration is less than the preset warning duration, identifying the statistical number of times the cable temperature change curve reaches the warning temperature, and identifying whether the statistical number reaches the preset warning number; If the statistical number reaches the preset warning number, a cable fault warning is issued; If the statistical number of times does not reach the preset warning number of times, the cable temperature data reported by the first temperature sensor and the ambient temperature data reported by the second temperature sensor continue to be received.

5. The cable fault prediction method based on temperature change according to claim 1, characterized in that: When the changing rules are inconsistent, issuing a cable fault warning includes: In the case where the variation rules are inconsistent, determining the fault cause of the cable to be monitored according to the correlation between the cable temperature variation curve and the preset temperature variation curve and the cable fault cause; A cable fault warning is issued based on the fault cause.

6. The cable fault prediction method based on temperature change according to claim 5, characterized in that: The determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause comprises: Identifying a first variation law of the cable temperature variation curve; Identify a second variation law of each temperature variation curve in the correlation relationship between the preset temperature variation curve and the cable fault cause; Calculating the similarity ranking of the first change rule and the second change rule, and identifying the first two temperature change curves in the similarity ranking; The fault cause associated with the first two temperature change curves is used as the fault cause of the cable to be monitored.

7. The cable fault prediction method based on temperature change according to claim 5, characterized in that: The determining the fault cause of the cable to be monitored according to the correlation between the cable temperature change curve and the preset temperature change curve and the cable fault cause comprises: Determine a first maximum temperature of the cable to be monitored within the preset time period according to the cable temperature change curve; Reading the second maximum temperature of each temperature change curve in the association relationship between the preset temperature change curve and the cable fault cause; A fault cause associated with a temperature variation curve in the second temperature maximum value that is equal to the first temperature maximum value is identified, and the fault cause is used as the fault cause of the cable to be monitored.

8. A cable fault prediction system based on temperature change, characterized in that: The device comprises: A cable temperature curve generating module, used for acquiring cable temperature data reported by a first temperature sensor within a preset time period, and generating a cable temperature change curve within the preset time period based on the cable temperature data, wherein the first temperature sensor is a temperature sensor arranged on the cable to be monitored; An ambient temperature curve generating module is used to obtain ambient temperature data reported by a second temperature sensor within a preset time period, and generate an ambient temperature change curve within the preset time period based on the ambient temperature data, wherein the second temperature sensor is a temperature sensor arranged in an environment where the cables to be monitored are laid; A curve rule recognition module, used to recognize whether the change rule of the cable temperature change curve is consistent with the change rule of the ambient temperature change curve; The fault warning module is used to issue a cable fault warning when the change rules are inconsistent.

9. An electronic device, characterized in that: The method comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of a cable fault prediction method based on temperature change as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of a cable fault prediction method based on temperature change as described in any one of claims 1-7 are implemented.

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