Cable temperature control detection method, electronic equipment, storage medium and program product

Abstract

The invention relates to the technical field of temperature control detection, in particular to a cable temperature control detection method, electronic equipment, a storage medium and a program product, and the method comprises the steps: obtaining cable trench thermal data, and determining a cable thermal distribution diagram of a to-be-detected cable based on the cable trench thermal data; identifying hidden danger point locations from the cable thermal distribution map based on a preset standard thermal value; hidden danger cable parameters and historical current-carrying capacity information of the hidden danger point location are obtained, predicted thermal data of the hidden danger point location in a preset time period are determined based on the hidden danger cable parameters and the historical current-carrying capacity information, and the predicted thermal data comprise predicted thermal values corresponding to all moments of the hidden danger point location in the preset time period; and superposing the predicted thermal data to a hidden danger point location in the cable thermal distribution diagram, and when the predicted thermal data contains a fault thermal value, generating early warning information based on the hidden danger point location, the fault thermal value being a predicted thermal value higher than a preset fault value. According to the invention, the cable with abnormal operation temperature can be found in time.

Description

Technical Field

[0001] The present application relates to the field of temperature control detection technology, and in particular to a cable temperature control detection method, electronic equipment, storage medium and program product. Background Art

[0002] With the acceleration of urbanization, urban space has become increasingly valuable. Traditional overhead lines not only take up a lot of space, but also affect the appearance of the city. Therefore, underground cable trenches have become the preferred solution for cable transmission. Underground cable trenches can effectively prevent natural disasters such as storms, hail, lightning strikes and human factors such as vehicle collisions from damaging cables, thereby facilitating the improvement of the safety and reliability of the power system.

[0003] However, since cables generate heat when transmitting current, if the temperature in the cable trench is too high, the cable may overheat, which may accelerate the aging of the cable insulation material, which may reduce the service life of the cable and may even cause cable failure or fire. Therefore, there is an urgent need for a method of temperature detection of cables so as to promptly detect cables with abnormal operating temperatures, thereby reducing the impact and losses caused by abnormal cable operating temperatures. Summary of the invention

[0004] In order to facilitate timely detection of cables with abnormal operating temperatures, thereby facilitating reduction of impacts and losses caused by abnormal cable operating temperatures, an embodiment of the present application provides a cable temperature control detection method, electronic device, storage medium and program product.

[0005] In a first aspect, the present application provides a cable temperature control detection method, which adopts the following technical solution: A cable temperature control detection method, comprising: Acquire thermal data of the cable trench, and determine a cable thermal distribution map corresponding to the cable to be detected based on the thermal data of the cable trench; Based on a preset standard thermal value, identifying a potential danger point from the cable thermal distribution map, wherein the cable thermal value corresponding to the potential danger point is higher than the preset standard thermal value; Obtaining the hidden danger cable parameters and historical current carrying capacity information corresponding to the hidden danger point, and determining the predicted thermal data of the hidden danger point within a preset time period based on the hidden danger cable parameters and the historical current carrying capacity information, wherein the predicted thermal data includes the predicted thermal value corresponding to the hidden danger point at each moment within the preset time period; The predicted thermal data are superimposed on the potential danger point in the cable thermal distribution map, and when the predicted thermal data contains a fault thermal value, early warning information is generated based on the potential danger point, and the fault thermal value is a predicted thermal value higher than a preset fault value.

[0006] By adopting the above technical scheme, the thermal data of the cable trench is analyzed, and a cable thermal distribution map is generated to facilitate viewing the temperature distribution of each point of the cable to be tested, and then combined with the preset standard thermal value, the potential danger points with abnormal temperature can be automatically identified. If the abnormal situation at the potential danger point is not maintained or repaired in time, it is very likely to cause a large cable failure. At this time, the operation of the potential danger point in the future is predicted by the cable parameters and historical current carrying capacity of the potential danger point, so as to realize the evaluation of the operation performance of the potential danger point. In addition, by superimposing the predicted thermal data on the potential danger point in the cable thermal distribution map, it is convenient to intuitively display the temperature change trend in the cable trench, and it is also convenient for relevant operation and maintenance personnel to quickly locate the problem area. When the predicted thermal data contains the fault thermal value, early warning information is generated in time to remind the relevant maintenance personnel to maintain or repair the potential danger point. By performing operation prediction on the potential danger point where a fault may occur, and generating early warning information based on the prediction result, instead of generating early warning information after the fault is detected, it is convenient to reduce the impact and loss caused by abnormal cable operation temperature.

[0007] In a possible implementation, the step of determining the predicted thermal data of the potential danger point within a preset time period based on the potential danger cable parameters and the historical current carrying capacity information includes: Constructing a simulation area cable model corresponding to the hidden danger point based on the hidden danger cable parameters; Determine the predicted current carrying capacity of the potential danger point corresponding to the preset time period based on the historical current carrying capacity, and drive the simulated area cable model to simulate the operation of the potential danger point in the preset time period based on the predicted current carrying capacity to obtain a simulated thermal distribution diagram; Identify the thermal pixel value corresponding to the hidden danger point in the simulated thermal distribution map, and determine the predicted thermal value corresponding to the hidden danger point at each moment in the preset time period based on a preset thermal value mapping relationship, wherein the preset thermal value mapping relationship is a correspondence between thermal pixel values ​​and predicted thermal values; The simulated thermal distribution map and the predicted thermal value generation data corresponding to the hidden danger point at each moment in the preset time period are integrated to obtain predicted thermal data.

[0008] By adopting the above technical scheme, the corresponding simulation area cable model is constructed through the hidden danger cable parameters corresponding to the hidden danger point, so as to improve the adaptability between the simulation area cable model and the operating environment of the hidden danger point, and then simulate the operation of the hidden danger point in the future based on the simulation area cable model, so as to improve the effectiveness of the simulation results. In addition, by converting the thermal pixel values ​​in the simulated thermal distribution map into the actual predicted thermal values, the accurate conversion from image data to specific temperature values ​​is realized, so that the relevant staff can more intuitively analyze and view the thermal status of the cable to be tested, and by integrating the simulated thermal distribution map and the predicted thermal value, it is convenient to provide more comprehensive cable thermal status information to the relevant staff.

[0009] In one possible implementation, the method further includes: Calculating a fault difference between the fault thermal value and the preset fault value, and determining a timing bar size corresponding to the potential danger point based on a mapping relationship between the fault difference and a preset size, wherein the preset size mapping relationship is a corresponding relationship between the fault difference and the timing bar size; Obtaining a predicted fault time corresponding to the fault thermal value, and determining a timing duration based on the predicted fault time, wherein the timing duration is the duration between the current time and the predicted fault time; A target timing bar is determined based on the timing bar size and the timing duration, and the target timing bar is superimposed on the potential hazard point in the cable thermal distribution map.

[0010] By adopting the above technical solution, by analyzing the fault thermal value and the preset fault value, it is convenient to analyze the fault degree corresponding to the hidden danger point, and by determining the corresponding timing bar size based on the analysis result, it is convenient for relevant staff to intuitively understand the fault degree corresponding to the hidden danger point by checking the timing bar size. In addition, the timing duration is determined based on the predicted fault moment, which is convenient for providing relevant maintenance personnel with the remaining time before the fault occurs. Through the visualization and timing of fault warning, it is convenient for relevant maintenance personnel to allocate maintenance resources more accurately.

[0011] In one possible implementation, the method further includes: When the predicted thermal data does not include the fault thermal value, it also includes: Determine a predicted thermal value data axis based on the predicted thermal value corresponding to each moment of the hidden danger point within the preset time period and the preset data axis; Compare the predicted thermal values ​​corresponding to each moment, and determine whether the predicted thermal value data axis includes a folded data axis, the folded data axis includes at least two predicted thermal values, and the thermal difference between any two predicted thermal values ​​of the at least two predicted thermal values ​​is less than a preset difference threshold; When the predicted thermal value data axis includes a folded data axis, the change trend of each predicted thermal value in the folded data axis is identified to determine the corresponding folding type, and the folded data axis is folded in the predicted thermal value data axis based on the folding type, and the folding type includes numerical folding and periodic folding.

[0012] By adopting the above technical solution, the generated predicted thermal values ​​are still viewed and analyzed when the potential fault situation at the potential fault point in the future is relatively small, so as to facilitate the identification of potential low-probability fault situations. At this time, the predicted thermal values ​​without abnormalities in the predicted thermal value data axis are folded to reduce the complexity of the data set, so as to facilitate the focus of the attention and resources of relevant staff on the predicted thermal values ​​that may have hidden dangers or abnormalities, thereby facilitating the improvement of the accuracy and efficiency of problem detection and abnormality identification.

[0013] In a possible implementation, folding the folded data axis in the predicted thermal value data axis based on the folding type includes: When the folding type is numerical folding, a folding display value is determined according to the at least two predicted thermal values ​​corresponding to the folding data axis, a first folding duration corresponding to the folding data axis is identified, a first display duration corresponding to the first folding duration is determined based on a preset first display duration mapping relationship, and the folding data axis is numerically folded based on the folding display value and the first display duration, wherein the preset first display duration mapping relationship is a corresponding relationship between the first folding duration and the first display duration; When the folding type is periodic folding, the folding display cycle value is determined according to the at least two predicted thermal values ​​corresponding to the folding data axis, the second folding duration corresponding to the folding data axis is identified, and based on a preset second display duration mapping relationship, the second display duration corresponding to the second folding duration is determined, and the folding data axis is periodically folded based on the folding display cycle value and the second display duration, and the preset second display duration mapping relationship is the correspondence between the second folding duration and the second display duration.

[0014] By adopting the above technical solution, two different folding methods are provided according to different folding types, that is, the folding data axis is folded based on numerical folding and based on periodic folding, instead of using the same folding method, which makes it convenient for relevant personnel to intuitively determine the corresponding folding type according to the folding effect of the folding data axis.

[0015] In one possible implementation, the method further includes: identifying a folding time period corresponding to the folding data axis, and determining a to-be-folded thermal distribution map from the simulated thermal distribution map based on the folding time period; Identify the display duration corresponding to the folding time period, and adjust the playback duration corresponding to the to-be-folded thermal distribution diagram based on the display duration to obtain a variable-speed to-be-folded thermal distribution diagram; The simulated thermal distribution map is updated based on the folding time period and the speed-changing to-be-folded thermal distribution map.

[0016] By adopting the above technical solution, the playback time of the thermal distribution map to be folded is adjusted by the folding time period, so as to optimize the video playback experience, thereby avoiding lengthy playback in the segment without abnormal data, so that relevant staff can obtain key information more quickly.

[0017] In a second aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned cable temperature control detection method.

[0018] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned cable temperature control detection method.

[0019] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program, and when the computer program is executed by a processor, the cable temperature control detection method is implemented.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By analyzing the thermal data of the cable trench and generating a cable thermal distribution map, it is convenient to view the temperature distribution of each point of the cable to be tested, and then combined with the preset standard thermal value, it is convenient to automatically identify the potential danger points with abnormal temperature. If the abnormal situation at the potential danger point is not maintained or repaired in time, it is very likely to cause a large cable failure. At this time, the operation of the potential danger point in the future is predicted by the cable parameters and historical current carrying capacity of the potential danger point, so as to realize the evaluation of the operation performance of the potential danger point. In addition, by superimposing the predicted thermal data on the potential danger point in the cable thermal distribution map, it is convenient to intuitively display the temperature change trend in the cable trench, and it is also convenient for relevant operation and maintenance personnel to quickly locate the problem area. When the predicted thermal data contains the fault thermal value, early warning information is generated in time to remind the relevant maintenance personnel to maintain or repair the potential danger point. By performing operation prediction on the potential danger point where failure may occur, and generating early warning information based on the prediction results, instead of generating early warning information after the fault is detected, it is convenient to reduce the impact and loss caused by abnormal cable operation temperature.

[0021] By checking and analyzing the generated predicted thermal values ​​even when the potential fault situation at the potential fault point in the future is relatively small, it is convenient to identify potential low-probability fault situations. At this time, by folding the predicted thermal values ​​without abnormalities in the predicted thermal value data axis, it is convenient to reduce the complexity of the data set, and it is convenient to focus the attention and resources of relevant staff on the predicted thermal values ​​that may have hidden dangers or abnormalities, thereby improving the accuracy and efficiency of problem detection and abnormality identification. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a cable temperature control detection method in an embodiment of the present application; Figure 2 It is a schematic diagram of a folding process of a folding data axis in an embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figure 1-3 This application is described in further detail.

[0024] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0027] Specifically, the embodiment of the present application provides a cable temperature control detection method, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application.

[0028] refer to Figure 1 , Figure 1 : is a flow chart of a cable temperature control detection method in an embodiment of the present application, the method comprises steps S110 to S140, wherein: Step S110: Acquire thermal data of the cable trench, and determine a cable thermal distribution map corresponding to the cable to be detected based on the thermal data of the cable trench.

[0029] Specifically, in city centers or areas with limited space, the use of cable trenches for cable transmission can make more efficient use of space and avoid overhead cables occupying precious land resources. In addition, the use of cable trenches for cable transmission can also avoid power outages caused by external factors such as weather, traffic accidents or man-made damage, thereby facilitating the improvement of stability and safety during the power supply process. The thermal data of the cable trench can be measured by a temperature sensor disposed in the cable trench and uploaded to an electronic device. The temperature sensor includes but is not limited to thermocouples, thermal resistors, etc. The specific temperature sensor is not specifically limited in the embodiments of the present application, as long as it can detect the temperature in the cable trench. Since the cable trench is usually used for long-distance cable transmission, a plurality of temperature sensors are often provided in the cable trench to detect the temperature of the surface or cable joints of the cables to be detected in different transmission sections during the power transmission process.

[0030] After obtaining the thermal data of the cable trench, the position information of each temperature sensor in the cable trench can be mapped to the spatial coordinates first, and then the interpolation method can be used to estimate the temperature value of the area between each temperature sensor, so as to fill the data gap and generate continuous temperature distribution data, wherein the interpolation method can be Kriging interpolation, inverse distance weighted interpolation, etc. The specific interpolation method is not specifically limited in the embodiment of the present application and can be set by relevant technical personnel. Finally, the preset data visualization tool can be used to convert the continuous temperature distribution into a cable thermal distribution map corresponding to the cable to be detected, wherein the preset data visualization tool can be Python's Matplotlib library. Matplotlib is a widely used drawing library in Python that supports a variety of chart types, including thermal maps. Through the Matplotlib library, the color of the cable thermal distribution map can be customized. In the cable thermal distribution map, different colors are generally used to represent different temperature values. For example, warm colors are usually used to represent high temperature areas, and cold colors are usually used to represent low temperature areas. The specific color of the cable thermal distribution map is not specifically limited in the embodiment of the present application and can be set by relevant technical personnel according to actual needs.

[0031] Step S120: identifying potential danger points from the cable thermal distribution map based on preset standard thermal values, where the cable thermal values ​​corresponding to the potential danger points are higher than the preset standard thermal values.

[0032] Specifically, since different cables to be tested correspond to different types, materials and load conditions, different cables to be tested correspond to different preset standard thermal values. The cables to be tested can be divided into low-voltage cables, Central Asian cables, high-voltage cables and special cables. For example, for low-voltage cables, when the surface temperature of the cable to be tested is higher than 90°C, it may indicate that the insulating material inside the cable to be tested begins to be damaged; for medium-voltage cables, when the surface temperature of the cable to be tested is between 100°C and 120°C, it may indicate that the insulating material inside the cable to be tested begins to be damaged; for high-voltage cables, when the surface temperature of the cable to be tested is higher than 150°C, it may indicate that the insulating material inside the cable to be tested begins to be damaged; for special cables, when the surface temperature of the cable to be tested is higher than 250°C, it may indicate that the insulating material inside the cable to be tested begins to be damaged. The hidden danger point is the location where the cable thermal value is higher than the preset standard thermal value. At this time, the hidden danger point does not have a fault condition, but has a greater probability of failure in the future compared with other points. Therefore, the preset standard thermal value corresponding to the hidden danger point can be set based on the fault thermal value corresponding to the temperature value that causes the insulating material inside the cable to be tested to begin to be damaged. The preset standard thermal value is lower than the fault thermal value.

[0033] When identifying potential danger points from the cable thermal distribution map based on preset standard thermal values, the preset standard color or preset standard pixel value corresponding to the preset standard thermal value can be determined according to the color setting strategy corresponding to the cable thermal distribution map, and then the potential danger points can be determined from the cable thermal distribution map by comparing the color depth or pixel value. The color depth corresponding to the potential danger point is higher than the preset standard color depth, or the pixel value corresponding to the potential danger point is higher than the preset standard pixel value.

[0034] Step S130: Obtain the hidden danger cable parameters and historical current carrying capacity information corresponding to the hidden danger point, and determine the predicted thermal data of the hidden danger point within a preset time period based on the hidden danger cable parameters and historical current carrying capacity information. The predicted thermal data includes the predicted thermal value corresponding to the hidden danger point at each moment within the preset time period.

[0035] Specifically, the hidden danger cable parameters are the cable parameters corresponding to the hidden danger point, including but not limited to the material of the cable, such as copper or aluminum; insulating materials, such as PVC, XLPE; sheath materials, cross-sectional area and length of the cable; resistance, inductance, capacitance and conductivity of the cable and other parameters affecting the transmission characteristics of the cable; thermal conductivity, specific heat capacity, thermal resistance and heat dissipation of the cable and other parameters affecting the thermal performance of the cable; temperature, humidity, wind speed, soil thermal resistance and other parameters affecting the heat dissipation performance of the cable in the cable laying environment. Since the length of the cable is limited by the manufacturing equipment and transportation conditions, cables that require long-distance transmission may need to be achieved by splicing multiple cable segments. In addition, cable splicing can provide greater flexibility, that is, the length of the cable can be adjusted according to actual needs and site conditions. In the cable trench, it is also convenient to bypass obstacles or adapt to different laying paths. Therefore, the hidden danger cable parameters corresponding to the hidden danger points at different cable stages may be different. When obtaining the hidden danger cable parameters corresponding to the hidden danger points, it is necessary to first determine the cable stage identification corresponding to the hidden danger point according to the laying position of the hidden danger point in the cable trench, and then determine the corresponding hidden danger cable parameters from the electronic device based on the cable stage identification. The hidden danger cable parameters corresponding to different cable stage identifications can be determined by relevant staff based on daily detection data or historical collection data and uploaded to the electronic device.

[0036] The historical current carrying capacity information is the historical current carrying capacity of the cable corresponding to the different cable stage identifiers in the historical stage. For example, the current time is 10 o'clock. The historical current carrying capacity corresponding to the hidden danger point at 10 o'clock in the historical stage can be determined through the historical current carrying capacity information. The historical current carrying capacity can be the mean of the current carrying capacity in the same period in the historical stage, or it can be the mode value of the current carrying capacity in the same period in the historical stage. The specific determination method is not specifically limited in the embodiment of the present application, as long as it can characterize the load condition of the hidden danger point. The preset time period is a period of time after the current time. The duration corresponding to the preset time period can be 3 minutes or 5 minutes. The specific duration is not specifically limited in the embodiment of the present application and can be set by relevant technical personnel. Based on the historical current carrying capacity, the operating load condition of the hidden danger point in the future period can be predicted.

[0037] Furthermore, the predicted thermal data of the potential danger point within a preset time period is determined based on the potential danger cable parameters and historical current carrying capacity information, which may specifically include: A simulated regional cable model corresponding to the hidden danger point is constructed based on the parameters of the hidden danger cable; the predicted current-carrying capacity corresponding to the hidden danger point in a preset time period is determined based on the historical current-carrying capacity, and the operation of the hidden danger point in the preset time period is simulated by driving the simulated regional cable model based on the predicted current-carrying capacity to obtain a simulated thermal distribution map; the thermal pixel values ​​corresponding to the hidden danger point in the simulated thermal distribution map are identified, and the predicted thermal values ​​corresponding to the hidden danger point at each moment in the preset time period are determined based on a preset thermal value mapping relationship, and the preset thermal value mapping relationship is the correspondence between the thermal pixel value and the predicted thermal value; the simulated thermal distribution map and the predicted thermal value generation data corresponding to the hidden danger point at each moment in the preset time period are integrated to obtain predicted thermal data.

[0038] Specifically, the preset simulation model can be updated based on the parameters of the hidden danger cable, and the obtained simulation area cable model includes cable material, insulation material, sheath material, cable cross-sectional area and length, cable resistance, inductance, capacitance, cable thermal conductivity, specific heat capacity, thermal resistance, etc. that are consistent with the hidden danger point. That is, by predicting the current carrying capacity to drive the simulation area cable model, the operation of the hidden danger point in a period of time in the future can be simulated to obtain simulated cable trench thermal data. The method of determining the simulated thermal distribution map according to the simulated cable trench thermal data can refer to the method of determining the cable thermal distribution map corresponding to the cable to be detected based on the cable trench thermal data in the above-mentioned embodiment, which will not be elaborated here.

[0039] The thermal pixel value corresponding to the potential danger point in the simulated thermal distribution map at each moment within a preset time period can be first determined according to the color setting strategy corresponding to the cable thermal distribution map, and then the predicted thermal value corresponding to each thermal pixel value can be determined based on the preset thermal value mapping relationship, wherein the preset thermal value mapping relationship includes the predicted thermal value corresponding to any thermal pixel value, and the specific content of the mapping relationship is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the electronic device. By integrating the simulated thermal distribution map and the predicted thermal value, it is convenient to provide more comprehensive cable thermal status information to relevant staff.

[0040] Step S140: superimpose the predicted thermal data onto the potential danger point in the cable thermal distribution map, and generate warning information based on the potential danger point when the predicted thermal data contains a fault thermal value, the fault thermal value being a predicted thermal value higher than a preset fault value.

[0041] Specifically, the predicted thermal data can be superimposed by AR superposition technology. Before superimposing the predicted thermal data, it is necessary to first identify the hidden danger points from the cable thermal distribution map, and then superimpose the predicted thermal data. Since the predicted thermal data is obtained by integrating the simulated thermal distribution map and multiple predicted thermal values, the display method of the simulated thermal distribution map and multiple predicted thermal values ​​can be determined according to actual viewing needs before superposition. For example, multiple predicted thermal values ​​can be superimposed on the simulated thermal distribution map to obtain a superimposed simulated thermal distribution map, and then the superimposed simulated thermal distribution map is superimposed on the cable thermal distribution map; multiple predicted thermal values ​​can also be integrated into the form of a data axis, and then the simulated thermal distribution map is superimposed on the hidden danger points in the cable thermal distribution map, and the predicted thermal values ​​in the form of a data axis are superimposed above or below the simulated thermal distribution map. The specific superposition method is not specifically limited in the embodiment of the present application, and can be set by relevant technical personnel according to actual needs.

[0042] The preset fault value is higher than the preset standard thermal value. When the cable thermal value is higher than the preset standard thermal value, the point corresponding to the power thermal value is characterized as a potential danger point, that is, the probability of a fault occurring in the future is high. Once the cable thermal value is higher than the preset fault value, it indicates that the point has already failed. The specific preset fault value is not specifically limited in the embodiment of the present application. If it is determined according to the prediction results that the potential danger point will fail within the preset time period, an early warning is issued before the potential danger point actually fails, rather than after the failure occurs, so as to reduce the impact and loss caused by the cable failure.

[0043] For the embodiment of the present application, by analyzing the thermal data of the cable trench and generating a cable thermal distribution map, it is convenient to check the temperature distribution of each point of the cable to be tested, and then combined with the preset standard thermal value, it is convenient to automatically identify the potential danger points with abnormal temperature. If the abnormal conditions at the potential danger points are not maintained or repaired in time, it is very likely to cause a large cable failure. At this time, the operation of the potential danger points in the future is predicted by the cable parameters and historical current carrying capacity of the potential danger points, so as to realize the evaluation of the operation performance of the potential danger points. In addition, by superimposing the predicted thermal data on the potential danger points in the cable thermal distribution map, it is convenient to intuitively display the temperature change trend in the cable trench, and it is also convenient for relevant operation and maintenance personnel to quickly locate the problem area. When the predicted thermal data contains the fault thermal value, early warning information is generated in time to remind relevant maintenance personnel to maintain or repair the potential danger points. By performing operation prediction on the potential danger points where failures may occur, and generating early warning information based on the prediction results, instead of generating early warning information after the fault is detected, it is convenient to reduce the impact and loss caused by abnormal cable operation temperature.

[0044] Furthermore, in order to facilitate relevant maintenance personnel to more accurately configure maintenance resources, the method provided in the embodiment of the present application also includes: Calculate the fault difference between the fault thermal value and the preset fault value, and determine the timing bar size corresponding to the hidden danger point based on the mapping relationship between the fault difference and the preset size. The preset size mapping relationship is the corresponding relationship between the fault difference and the timing bar size. Obtain the predicted fault moment corresponding to the fault thermal value, and determine the timing duration based on the predicted fault moment. The timing duration is the duration between the current moment and the predicted fault moment. Determine the target timing bar based on the timing bar size and the timing duration, and superimpose the target timing bar on the hidden danger point in the cable thermal distribution map.

[0045] Specifically, when the fault thermal value is higher than the preset fault value, it indicates that the potential danger point will fail in the future. The higher the fault thermal value, the greater the impact of the potential danger point after the failure. At this time, the fault difference between the fault thermal value and the preset fault value can be calculated to analyze the fault degree corresponding to the potential danger point. The target timing bar can also be determined based on the fault degree to clarify the time node for the maintenance task of the potential danger point.

[0046] The preset size mapping relationship includes the timing bar size corresponding to any fault difference. The larger the fault difference, the larger the corresponding timing bar size. The size of the target timing bar is set by the fault difference, which is convenient for the relevant maintenance personnel to intuitively determine the corresponding fault degree according to the size of the target timing bar. The specific content of the preset size mapping relationship is not specifically limited in the embodiment of the present application, and can be determined by the relevant staff according to the historical experimental data and uploaded to the electronic device. The timing duration is the duration between the current moment and the predicted fault moment. The target timing bar is used to facilitate the relevant maintenance personnel to stay alert and take corresponding maintenance actions in time to prevent small problems from turning into major faults, that is, to remind the relevant maintenance personnel to repair the hidden danger points before the real fault occurs at the hidden danger points. The target timing bar can be superimposed by AR technology. The superimposed position can be above the predicted thermal data or below the predicted thermal data. The specific position is not specifically limited in the embodiment of the present application.

[0047] Furthermore, when the predicted thermal data does not include the fault thermal value, the method provided in the embodiment of the present application further includes steps S1 to S3, such as Figure 2 As shown, where: Step S1: Determine the predicted thermal value data axis based on the predicted thermal value corresponding to the hidden danger point at each moment in a preset time period and the preset data axis.

[0048] Specifically, the initial data axis can be selected based on the duration corresponding to the preset time period. The electronic device contains multiple preset initial data axes, and different initial data axes correspond to different durations. Multiple initial data axes can be entered into the electronic device in advance by relevant staff for subsequent use in determining the predicted thermal value data axis corresponding to different hidden danger points, without having to create it before each subsequent use, so as to improve the efficiency of determining the predicted thermal value data axis. The predicted thermal value corresponding to each moment in the preset time period is imported into the initial data axis to obtain the predicted thermal value data axis.

[0049] Step S2: Compare the predicted thermal values ​​corresponding to each moment to determine whether the predicted thermal value data axis contains a folded data axis, the folded data axis contains at least two predicted thermal values, and the thermal difference between any two predicted thermal values ​​among the at least two predicted thermal values ​​is less than a preset difference threshold.

[0050] Specifically, the folded data axis is a regional data axis of the predicted thermal value data axis, that is, the folded data axis and the non-folded data axis constitute the predicted thermal value data axis. When determining the folded data axis, the predicted thermal value data axis can be first divided into regions to obtain multiple regional data axes, and the folded data axis is determined from the regional data axes by comparing the relationship between the thermal difference between any two predicted thermal values ​​in each regional data axis and the preset difference threshold. The number of folded data axes is not specifically limited in the embodiment of the present application, and can be 0, 1, or multiple.

[0051] Step S3: When the predicted thermal value data axis includes a folded data axis, identify the change trend of each predicted thermal value in the folded data axis to determine the corresponding folding type, and fold the folded data axis in the predicted thermal value data axis based on the folding type. The folding types include numerical folding and periodic folding.

[0052] Specifically, the folding type includes a numerical folding type and a periodic folding type. The folding type corresponding to the folded data axis can be determined by analyzing the changing trend of the predicted thermal value corresponding to each moment in the folded data axis. Specifically, the folded data axis can be converted into a line graph. If there is no obvious peak in the line graph, it can be determined that the folding type of the folded data axis is a numerical folding type; if there are multiple peaks in the line graph, it can be determined that the folding type of the folded data axis is a periodic folding type. In addition, the Fourier transform method can be used to analyze the changing trend of the predicted thermal value corresponding to each moment in the folded data axis. The specific analysis method is not specifically limited in the embodiment of the present application, as long as the folding type of the folded data axis can be determined.

[0053] Different folding types correspond to different folding methods. When the folding type is numerical folding, a folding display value can be determined from at least two predicted thermal values ​​corresponding to the folding data axis, and the folding data axis is folded based on the folding display value; when the folding type is periodic folding, a folding display cycle value can be determined from at least two predicted thermal values ​​corresponding to the folding data, and the folding data axis is folded based on the folding display cycle value.

[0054] By folding the predicted thermal values ​​without abnormalities in the predicted thermal value data axis, it is convenient to reduce the complexity of the data set, and to focus the attention and resources of relevant staff on the predicted thermal values ​​that may have hidden dangers or abnormalities, thereby improving the accuracy and efficiency of problem detection and anomaly identification.

[0055] Furthermore, in order to facilitate relevant personnel to intuitively determine the corresponding folding type according to the folding effect of the folded data axis, the folded data axis is folded in the predicted thermal value data axis based on the folding type, which may specifically include: When the folding type is numerical folding, the folding display value is determined according to at least two predicted thermal values ​​corresponding to the folding data axis, the first folding duration corresponding to the folding data axis is identified, and based on a preset first display duration mapping relationship, the first display duration corresponding to the first folding duration is determined, and the folding data axis is numerically folded based on the folding display value and the first display duration, and the preset first display time mapping relationship is the corresponding relationship between the first folding duration and the first display duration.

[0056] Specifically, first identify the first folding duration corresponding to the folded data axis. When determining the first folding duration, the start time and end time of the folded data axis may be obtained first, and then the corresponding first folding duration may be determined based on the start time and end time. Different first folding durations correspond to different first display durations. The first display duration is the display duration corresponding to the folded data after folding. For example, the first folding duration corresponding to the folded data axis is 10 seconds. After folding the folded data axis, the first display duration obtained may be 2 seconds, that is, the original 10 seconds of display content is folded into 2 seconds for display, which helps to reduce non-abnormal redundant data in the predicted thermal value data axis. The first display duration mapping relationship includes the first display duration corresponding to different first folding durations. The specific content is not specifically limited in the embodiment of the present application and can be determined by relevant staff based on historical experimental data and uploaded to the electronic device.

[0057] When determining the folded display value based on at least two predicted thermal values ​​corresponding to the folded data axis, one can be randomly determined from the at least two predicted thermal values ​​as the folded display value, or the average of at least two predicted thermal values ​​can be calculated and the determined average can be used as the folded display value. The method for determining the folded display value is not specifically limited in the embodiments of the present application.

[0058] After determining the first display duration and the folded display value, the duration corresponding to the folded data axis is folded into the first display duration to obtain the first data axis. The value corresponding to each moment in the first data axis is the folded display value. In order to facilitate relevant staff to view the folded part, the first folded duration corresponding to the folded data axis can be superimposed on the folded data axis. When it is detected that the relevant staff has triggered the corresponding area of ​​the folded data axis, the first folded duration corresponding to before folding can be displayed.

[0059] When the folding type is periodic folding, the folding display cycle value is determined according to at least two predicted thermal values ​​corresponding to the folding data axis, the second folding duration corresponding to the folding data axis is identified, and based on a preset second display duration mapping relationship, the second display duration corresponding to the second folding duration is determined, and the folding data axis is periodically folded based on the folding display cycle value and the second display duration, and the preset second display duration mapping relationship is the corresponding relationship between the second folding duration and the second display duration.

[0060] Specifically, the folding display cycle value is a predicted thermal value corresponding to a change cycle. When determining the folding display cycle value from the folding data axis, the first predicted thermal peak and the first predicted thermal valley corresponding to the folding data axis can be determined by analyzing each predicted thermal value and the determination time of each predicted thermal value in the folding data axis, and the first predicted thermal peak and the first predicted thermal valley and the duration between the first predicted thermal peak and the first predicted thermal valley corresponding to the determination time are used to determine the folding display cycle value. Different second folding durations correspond to different second display durations, that is, different second folding durations correspond to different numbers of display cycles. The second display duration corresponding to the second folding duration can be determined according to the preset second display duration mapping relationship, and the number of display cycles corresponding to the second folding duration can also be determined through the second display duration mapping relationship. Since the display duration corresponding to one display cycle number is the duration between the first predicted thermal peak and the first predicted thermal valley corresponding to the determination time, determining the number of display cycles corresponding to the second folding duration is consistent with the goal of determining the second display duration corresponding to the second folding duration.

[0061] The manner of periodically folding the folded data axis based on the folded display cycle value and the second display duration can refer to the manner of numerically folding the folded data axis based on the folded display value and the first display duration in the above embodiment, which will not be elaborated here.

[0062] Two different folding methods are provided according to different folding types, namely, folding the folding data axis based on numerical value folding and based on period folding, instead of folding in the same way, so that relevant personnel can intuitively determine the corresponding folding type according to the folding effect of the folding data axis.

[0063] Furthermore, in order to facilitate relevant staff to obtain key information more quickly, the method provided in the embodiment of the present application also includes: Identify the folding time period corresponding to the folding data axis, and determine the thermal distribution map to be folded from the simulated thermal distribution map based on the folding time period; identify the display duration corresponding to the folding time period, and adjust the playback duration corresponding to the thermal distribution map to be folded based on the display duration to obtain the speed-variable thermal distribution map to be folded; update the simulated thermal distribution map based on the folding time period and the speed-variable thermal distribution map to be folded.

[0064] Specifically, the simulated thermal distribution map is a simulated operation status of the hidden danger point within a preset time period. Therefore, the predicted thermal value data axis corresponds to the simulated thermal distribution map. When there are relatively stable predicted thermal values ​​without abnormal redundant values ​​in the predicted thermal value data axis, there are corresponding redundant segments in the simulated thermal distribution map. Based on the folding time period corresponding to the folding data axis, the thermal distribution map to be folded corresponding to the redundant segment can be cut out from the simulated thermal distribution map, and the playback time corresponding to the thermal distribution map to be folded can be adjusted to the display time corresponding to the folding data axis.

[0065] The corresponding playback duration can be adjusted by controlling the playback rate of the thermal distribution map to be folded, and the corresponding playback duration can also be adjusted by deleting the playback image frame. The specific method is not specifically limited in the embodiment of the present application, as long as a variable speed thermal distribution map to be folded with a playback duration consistent with the display duration can be obtained. Finally, the thermal distribution map to be folded is replaced with the thermal distribution map to be folded part in the simulated thermal distribution map, so as to update the simulated thermal distribution map.

[0066] By adjusting the playback duration of the heat distribution map to be folded by folding the time period, the video playback experience is optimized, thereby avoiding lengthy playback in segments without abnormal data, so that relevant staff can obtain key information more quickly.

[0067] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0068] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0069] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0070] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0071] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0072] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0073] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0074] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0075] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0076] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A cable temperature control detection method, characterized in that: include: Acquire thermal data of the cable trench, and determine a cable thermal distribution map corresponding to the cable to be detected based on the thermal data of the cable trench; Based on a preset standard thermal value, identifying a potential danger point from the cable thermal distribution map, wherein the cable thermal value corresponding to the potential danger point is higher than the preset standard thermal value; Obtaining the hidden danger cable parameters and historical current carrying capacity information corresponding to the hidden danger point, and determining the predicted thermal data of the hidden danger point within a preset time period based on the hidden danger cable parameters and the historical current carrying capacity information, wherein the predicted thermal data includes the predicted thermal value corresponding to the hidden danger point at each moment within the preset time period; The predicted thermal data are superimposed on the potential danger point in the cable thermal distribution map, and when the predicted thermal data contains a fault thermal value, early warning information is generated based on the potential danger point, and the fault thermal value is a predicted thermal value higher than a preset fault value.

2. A cable temperature control detection method according to claim 1, characterized in that: The method of determining the predicted thermal data of the hidden danger point within a preset time period based on the hidden danger cable parameters and the historical current carrying capacity information includes: Constructing a simulation area cable model corresponding to the hidden danger point based on the hidden danger cable parameters; Determine the predicted current carrying capacity of the potential danger point corresponding to the preset time period based on the historical current carrying capacity, and drive the simulated area cable model to simulate the operation of the potential danger point in the preset time period based on the predicted current carrying capacity to obtain a simulated thermal distribution diagram; Identify the thermal pixel value corresponding to the hidden danger point in the simulated thermal distribution map, and determine the predicted thermal value corresponding to the hidden danger point at each moment in the preset time period based on a preset thermal value mapping relationship, wherein the preset thermal value mapping relationship is a correspondence between thermal pixel values ​​and predicted thermal values; The simulated thermal distribution map and the predicted thermal value generation data corresponding to the hidden danger point at each moment in the preset time period are integrated to obtain predicted thermal data.

3. A cable temperature control detection method according to claim 2, characterized in that: Also includes: Calculating a fault difference between the fault thermal value and the preset fault value, and determining a timing bar size corresponding to the potential danger point based on a mapping relationship between the fault difference and a preset size, wherein the preset size mapping relationship is a corresponding relationship between the fault difference and the timing bar size; Obtaining a predicted fault time corresponding to the fault thermal value, and determining a timing duration based on the predicted fault time, wherein the timing duration is the duration between the current time and the predicted fault time; A target timing bar is determined based on the timing bar size and the timing duration, and the target timing bar is superimposed on the potential hazard point in the cable thermal distribution map.

4. A cable temperature control detection method according to claim 2, characterized in that: When the predicted thermal data does not include the fault thermal value, it also includes: Determine a predicted thermal value data axis based on the predicted thermal value corresponding to each moment of the hidden danger point within the preset time period and the preset data axis; Compare the predicted thermal values ​​corresponding to each moment, and determine whether the predicted thermal value data axis includes a folded data axis, the folded data axis includes at least two predicted thermal values, and the thermal difference between any two predicted thermal values ​​of the at least two predicted thermal values ​​is less than a preset difference threshold; When the predicted thermal value data axis includes a folded data axis, the change trend of each predicted thermal value in the folded data axis is identified to determine the corresponding folding type, and the folded data axis is folded in the predicted thermal value data axis based on the folding type, and the folding type includes numerical folding and periodic folding.

5. A cable temperature control detection method according to claim 4, characterized in that: The folding of the folded data axis in the predicted thermal value data axis based on the folding type includes: When the folding type is numerical folding, a folding display value is determined according to the at least two predicted thermal values ​​corresponding to the folding data axis, a first folding duration corresponding to the folding data axis is identified, a first display duration corresponding to the first folding duration is determined based on a preset first display duration mapping relationship, and the folding data axis is numerically folded based on the folding display value and the first display duration, wherein the preset first display duration mapping relationship is a corresponding relationship between the first folding duration and the first display duration; When the folding type is periodic folding, the folding display cycle value is determined according to the at least two predicted thermal values ​​corresponding to the folding data axis, the second folding duration corresponding to the folding data axis is identified, and based on a preset second display duration mapping relationship, the second display duration corresponding to the second folding duration is determined, and the folding data axis is periodically folded based on the folding display cycle value and the second display duration, and the preset second display duration mapping relationship is the correspondence between the second folding duration and the second display duration.

6. A cable temperature control detection method according to claim 4, characterized in that: Also includes: identifying a folding time period corresponding to the folding data axis, and determining a to-be-folded thermal distribution map from the simulated thermal distribution map based on the folding time period; Identify the display duration corresponding to the folding time period, and adjust the playback duration corresponding to the to-be-folded thermal distribution diagram based on the display duration to obtain a variable-speed to-be-folded thermal distribution diagram; The simulated thermal distribution map is updated based on the folding time period and the speed-changing thermal distribution map to be folded.

7. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a cable temperature control detection method according to any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and executes a cable temperature control detection method as described in any one of claims 1 to 6.

9. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the steps of a cable temperature control detection method according to any one of claims 1 to 6.

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