Wireless cable temperature measurement system and method based on Internet of Things

Abstract

The invention discloses a wireless cable temperature measurement system and method based on the Internet of Things, and belongs to the field of cable management, the potential aging problem of a cable can be found in time by monitoring the temperature change and skin aging condition of the cable in real time, sudden faults caused by long-term aging of the cable are avoided, and the service life of the cable is prolonged. Aging abnormity analysis can help to identify abnormal changes in the cable skin, further prevent possible electric leakage or short circuit accidents, optimize the load and operation states of the cable by analyzing the temperature and aging changes of the cable, avoid accelerated aging of the cable due to overload or improper use, and improve the service life of the cable. The cable replacement early warning mechanism can effectively reduce power failure or accidents caused by cable aging or abnormity, the operation of the power system becomes more stable through abnormity analysis and early warning, and the safety is remarkably improved.

Description

Technical Field

[0001] This application belongs to the field of cable management, and specifically relates to a wireless cable temperature measurement system and method based on the Internet of Things. Background Art

[0002] In the field of power transmission and distribution, as an important transmission medium, the safety and reliability of cables are directly related to the stable operation of the power system and the continuity of power supply to users. However, with the long-term use of cables, their insulation performance gradually deteriorates, leading to increasingly serious problems such as cable aging and leakage. Especially under high current and high temperature conditions, the service life of cables is significantly shortened, and safety accidents are likely to occur. Traditional cable maintenance methods usually rely on regular inspection and replacement strategies, but these methods have problems such as low efficiency and high maintenance costs. Existing cable health status monitoring technologies mostly focus on the detection of surface conditions, lacking the ability to deeply analyze the internal aging process of cables and unable to effectively predict potential failure risks. In addition, the expansion of the power system and the increase in load have put higher requirements on the reliability of cables, and traditional maintenance methods are difficult to meet the needs of modern power systems for high efficiency, safety, and intelligence; With the development of smart grids and the growth of power demand, power system safety monitoring and early warning technologies have become a research hotspot. However, existing technologies still have deficiencies in aspects such as cable aging mechanism analysis, real-time status monitoring, and early warning prediction, and a comprehensive solution is urgently needed; In order to improve the accuracy of heat transfer effect analysis, this application designs a wireless cable temperature measurement system and method based on the Internet of Things. Summary of the Invention

[0003] To solve the deficiencies in the prior art mentioned in the background art, this application proposes a wireless cable temperature measurement system and method based on the Internet of Things. By real-time monitoring the temperature changes and epidermal aging conditions of cables, potential aging problems of cables can be discovered in a timely manner, avoiding sudden failures caused by long-term cable aging. Aging anomaly analysis can help identify abnormal changes in the cable epidermis, further preventing possible leakage or short-circuit accidents. By analyzing the cable temperature and aging changes, the load and operating status of the cable can be optimized, avoiding accelerated cable aging due to overload or improper use. The cable replacement early warning mechanism can effectively reduce power outages or accidents caused by cable aging or anomalies. Through anomaly analysis and early warning, the operation of the power system becomes more stable and the safety is significantly improved.

[0004] To achieve the above object, this application provides the following technical solutions: In the first aspect, this application provides a wireless cable temperature measurement method based on the Internet of Things, which includes the following specific steps: Step 1, obtain the temperature change situation of the cable and the aging change situation of the cable epidermis, and at the same time obtain the future power transmission planning situation; Step 2: Conduct abnormal analysis of skin aging based on the temperature change of the cable and the aging change of the cable skin. Step 3: Conduct abnormal analysis of power transmission based on the aging change of the cable skin, the future power transmission plan, and the power transmission of the cable. Step 4: Conduct abnormal analysis of the cable in the next cycle based on the results of the abnormal analysis of skin aging and the abnormal analysis of power transmission. Step 5: Issue a warning for cable replacement based on the obtained results of the abnormal analysis of cable transmission.

[0005] Preferably, based on the above solution, the specific content of obtaining the temperature change of the cable and the aging change of the cable skin, and at the same time obtaining the future power transmission plan is as follows: Step 101: Based on the infrared temperature sensor, obtain the real-time temperature change and current transmission data of the cable, and construct a cable temperature change curve and store it in the corresponding storage component. Step 102: Collect the image change of the cable skin through the image acquisition terminal and obtain the elastic change of the cable skin through the elastic sensor, and store them in the corresponding storage module for analyzing the aging of the cable skin, analyzing the negative impact of the next cycle of power transmission on the cable skin, and comprehensively analyzing the skin failure risk of the cable in the next cycle in combination with the power transmission of the cable. Step 103: Obtain the future power transmission situation planned for the cable and store it in the corresponding storage component. For power equipment, there is generally a future use plan for the next cycle, such as the use time and the use process plan, etc. Since the cable is used to transmit power between the power equipment and the power source, the power transmission situation of the cable in the next cycle can be obtained through the use plan of the power equipment, and the collected data is transmitted to the Internet of Things platform.

[0006] Preferably, based on the above solution, the abnormal analysis of skin aging includes the following specific steps: Step 201: Obtain the image change of the cable skin and the elastic change of the cable skin during the detection process. Step 202: Conduct aging analysis of the cable based on the image change of the cable skin and the elastic change of the cable skin. Among them, the cable aging analysis formula is: , where fc is the elastic data of the cable skin in real time, fm is the elastic data of the cable skin at the start time of cable use, M is the number of skin pixel points, xj is the pixel value of the j-th pixel point on the cable in real time, and xjm is the pixel value of the j-th pixel point on the cable at the start time of cable use. In this step, the aging condition of the cable skin is comprehensively analyzed based on the pixel and elastic changes of the cable skin, combining the surface defect degree with the elastic performance to fully reflect the aging condition of the cable skin; Step 203: Obtain the temperature change of the cable in the corresponding period, and at the same time obtain the cable aging analysis change value in the corresponding period. Based on the temperature change of the cable in the corresponding period and the cable aging analysis change value in the corresponding period, conduct skin aging anomaly analysis. The skin aging anomaly analysis formula is as follows: , where T is the period duration, Flhz is the cable aging analysis change value at the end of the period, Flhc is the cable aging analysis change value at the start of the period, exp() is the exponential power of the natural constant e, Tt is the temperature of the cable at time t, Tm is the maximum value of the safe range of the cable temperature, and dt is the time integral; The aging analysis anomaly detection of the cable skin mainly relies on the influence of temperature change on cable aging. By monitoring the temperature change and the corresponding aging degree of the cable within a specific time period, these two parameters are combined using a formula to evaluate whether there is abnormal aging of the cable skin. Specifically, the integral part in the formula accumulates the temperature exceeding the standard within the safe temperature range, considering the accelerating effect of temperature on cable aging, so as to evaluate the change amount of aging at the end of the period; This method can effectively identify possible abnormal aging and provide a scientific basis for the maintenance and replacement of cables.

[0007] Preferably, based on the above solution, the abnormal power transmission analysis includes the following specific steps: Step 301: Obtain the future power transmission plan and the cable power transmission situation, and import the future power transmission plan and the cable power transmission situation for power transmission comparison. The power transmission comparison formula is as follows: , where Itc is the current at time tc of the future power transmission plan, and Itc is the current at time tz of the previous period. Since the generated heat is proportional to the square of the current, the square is used here to quantify the comparison of the generated heat, so as to analyze the influence comparison of power transmission on the cable skin; Step 302: Obtain the power transmission comparison result, the skin aging anomaly analysis result, and the cable aging analysis result for predicting the cable aging in the next period. The formula for predicting the cable aging in the next period is as follows: , where a is the aging influence factor, which represents the influence of the aging anomaly of the aged cable on the aging rate, and its value ranges from 0.1 to 0.3. Since the skin properties of the more aged cable change, in the same environment, the aging rate of the cable with a greater aging degree is greater; Step 303: Obtain the operating current condition in the next cycle and the predicted value of cable aging in the next cycle, and conduct power transmission anomaly analysis based on the operating current condition in the next cycle and the predicted value of cable aging in the next cycle. Among them, the power transmission anomaly analysis formula is: , where Im is the maximum value of the safe range of the current transmitted during cable design. In this formula, the influence of current leakage is comprehensively analyzed by considering the combined effects of cable aging and current magnitude.

[0008] Preferably, based on the above solution, the next-cycle cable anomaly analysis based on the results of skin aging anomaly analysis and power transmission anomaly analysis includes the following specific contents: Obtain the power transmission risk value by dividing the calculated power transmission anomaly analysis result by the safety value of the power transmission anomaly analysis result, obtain the aging risk value by dividing the predicted result of cable aging in the next cycle by the safety value of the aging result, and obtain the next-cycle cable anomaly analysis result after weighted summation of the power transmission risk value and the aging risk value.

[0009] Preferably, based on the above solution, the cable replacement warning based on the obtained cable transmission anomaly analysis result includes the following specific steps: Compare the calculated next-cycle cable anomaly analysis result with the set cable anomaly analysis threshold. If the obtained next-cycle cable anomaly analysis result is greater than or equal to the set cable anomaly analysis threshold, issue a cable replacement warning. If the obtained next-cycle cable anomaly analysis result is less than the set cable anomaly analysis threshold, display that the cable is operating normally.

[0010] In a second aspect, the present application provides a wireless cable temperature measurement system based on the Internet of Things, which is implemented based on the above-mentioned wireless cable temperature measurement method based on the Internet of Things. It specifically includes a data acquisition module, an aging anomaly analysis module, a power transmission anomaly analysis module, a cable anomaly analysis module, and a cable replacement warning module. Among them, the data acquisition module is used to obtain the temperature change condition of the cable and the aging change condition of the cable skin, and at the same time obtain the future power transmission planning situation; the aging anomaly analysis module conducts skin aging anomaly analysis based on the temperature change condition of the cable and the aging change condition of the cable skin; the power transmission anomaly analysis module conducts power transmission anomaly analysis based on the aging change condition of the cable skin, the future power transmission planning situation, and the cable power transmission situation; the cable anomaly analysis module conducts next-cycle cable anomaly analysis based on the results of skin aging anomaly analysis and power transmission anomaly analysis; the cable replacement warning module issues a cable replacement warning based on the obtained cable transmission anomaly analysis result.

[0011] In a third aspect, the present application provides an electronic device, including: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory; By calling the computer program stored in the memory, the processor executes the above-mentioned wireless cable temperature measurement method based on the Internet of Things.

[0012] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which when run on a computer, cause the computer to execute a wireless cable temperature measurement method based on the Internet of Things as described above.

[0013] Meanwhile, compared with the prior art, the technical effects and advantages of the present application are: The advantages of the present application are as follows: By monitoring the temperature change and skin aging condition of the cable in real time, potential aging problems of the cable can be discovered in time, avoiding sudden failures caused by long-term aging of the cable. Aging anomaly analysis can help identify abnormal changes in the cable skin, further preventing possible leakage or short-circuit accidents. By analyzing the cable temperature and aging changes, the load and operating status of the cable can be optimized, avoiding accelerated cable aging due to overload or improper use. The cable replacement warning mechanism can effectively reduce power outages or accidents caused by cable aging or anomalies. Through anomaly analysis and warning, the operation of the power system becomes more stable and the safety is significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts; Figure 1 It is a schematic diagram of the overall process of a wireless cable temperature measurement method based on the Internet of Things; Figure 2 It is a schematic diagram of the specific process of step 2 of a wireless cable temperature measurement method based on the Internet of Things; Figure 3 It is a schematic diagram of the specific process of step 3 of a wireless cable temperature measurement method based on the Internet of Things; Figure 4 It is a schematic diagram of the module composition of a wireless cable temperature measurement system based on the Internet of Things. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The description of at least one exemplary embodiment below is actually only illustrative and in no way limits the present application and its application or use.

[0016] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor methods and / or microcontroller methods.

[0017] It should be understood that although terms such as "first" and "second" may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly, the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the associated listed items.

[0018] To solve the technical problems proposed in the background art, the present application provides a preferred embodiment: as Figures 1-3 shown, a wireless cable temperature measurement method based on the Internet of Things, which includes the following specific steps: Step 1, obtain the temperature change of the cable and the aging change of the cable surface, and at the same time obtain the future power transmission plan; In this embodiment, the specific content of obtaining the temperature change of the cable and the aging change of the cable surface, and at the same time obtaining the future power transmission plan is: Step 101: Based on the infrared temperature sensor, obtain the real-time temperature change situation and current transmission situation data of the cable, construct a cable temperature change curve and store it in the corresponding storage component. Using an infrared temperature sensor to collect the temperature of an object is a conventional technique in the art. The infrared temperature sensor measures the temperature by detecting the infrared radiation emitted by the object. All objects emit infrared rays, and their intensity is proportional to the temperature. After the sensor receives the infrared radiation, it uses a thermopile or other sensing elements to convert it into an electrical signal, and then calculates the temperature of the object. This method does not require contact with the object and is applicable to various environments, with the characteristics of high efficiency, safety, and accuracy. The temperature measurement is carried out wirelessly. Exemplarily, for example, an infrared sensor installed above the cable performs wireless infrared temperature measurement on the cable; Step 102: Collect the image change situation of the cable skin through an image acquisition terminal and obtain the elastic change situation of the cable skin through an elastic sensor, and store them in the corresponding storage module for analyzing the aging situation of the cable skin, analyzing the negative impact of the next cycle of power transmission on the cable skin, and comprehensively analyzing the risk of skin failure of the cable in the next cycle based on the cable power transmission situation; Among them, the specific steps for collecting the image change situation of the cable skin through an image acquisition terminal are as follows: Image acquisition terminal selection: Select a high-resolution industrial camera or image acquisition terminal to ensure that the details on the cable surface can be clearly captured; Select appropriate optical filters and light sources (such as ultraviolet, infrared, or visible light) according to the color, texture of the cable, and the detection environment; Ensure that the camera supports industrial interfaces (such as GigE, USB3.0, etc.) for connection to the subsequent data acquisition system. Scene layout and light source setting: In the environment where the cable is installed, set an appropriate backlight or ring light source to avoid the influence of shadows and reflections on the image quality; Ensure that the acquisition terminal maintains a fixed distance from the cable to avoid perspective distortion or measurement errors; Image acquisition and storage: Use an industrial camera or image acquisition terminal to take multi-angle photos of the cable surface to ensure that the entire cable is covered; The steps to obtain the elastic change of the cable skin through an elastic sensor are as follows: Selection of elastic sensor: Select a suitable elastic sensor. Commonly used ones include piezoelectric sensors, strain gauge sensors, or touch pressure sensors. Select a sensor with appropriate sensitivity and accuracy according to the material characteristics of the cable skin (such as rubber, plastic, or synthetic materials); Sensor installation and calibration: Fix the elastic sensor on the cable surface to ensure close and uniform contact with the cable; Calibrate the sensor using a standard elastic testing instrument to ensure the accuracy of the measured values; Set the working range of the sensor to adapt to the expected range of elastic changes in the cable skin; Data acquisition and transmission: Use a data acquisition (DAQ) device or a microcontroller (such as Arduino, STM32) to acquire the signals of the sensor; Transmit the acquired elastic data to the control system or the Internet of Things platform by wired (RS485, CAN bus) or wireless (Wi-Fi, Bluetooth) means; Step 103: Obtain the future power transmission situation for cable planning and store it in the corresponding storage component. For power equipment, there is generally a future usage plan for the next cycle, such as usage time and usage process planning, etc. Since the cable is used to transmit power between the power equipment and the power source, the future power transmission situation of the cable in the next cycle can be obtained through the usage plan of the power equipment, and the collected data is transmitted to the Internet of Things platform; Exemplarily, the specific steps for transmitting the collected data to the Internet of Things platform are as follows: 1. Data acquisition and sensor connection: Use an infrared temperature sensor to acquire temperature data; Connect the sensor to a microcontroller (such as Arduino, ESP32) or a dedicated data acquisition device; 2. Microcontroller configuration: Configure the microcontroller to read the sensor data; Connect the sensor using an appropriate interface (such as I2C, SPI, UART) and write firmware code to regularly read the temperature data; 3. Communication module integration: Integrate a wireless communication module (such as Wi-Fi, Bluetooth, LoRaWAN) into the microcontroller to enable data transmission; Step 2: Conduct an abnormal analysis of skin aging based on the temperature change of the cable and the aging change of the cable skin; In this embodiment, the abnormal analysis of skin aging includes the following specific steps: Step 201: Obtain the image change situation of the cable skin and the elastic change situation of the cable skin during the detection process; Step 202: Conduct an aging analysis of the cable based on the image change situation of the cable skin and the elastic change situation of the cable skin. Among them, the cable aging analysis formula is: , where fc is the elastic data of the cable skin in real time, fm is the elastic data of the cable skin at the starting moment of cable use, M is the number of skin pixel points, xj is the pixel value of the j-th pixel point on the cable in real time, and xjm is the pixel value of the j-th pixel point at the starting moment of cable use. In this step, the aging condition of the cable skin is comprehensively analyzed through the pixel and elastic changes of the cable skin, combining the surface defect degree with the elastic performance to fully reflect the aging condition of the cable skin; Step 203: Obtain the temperature change of the cable in the corresponding period, and at the same time obtain the cable aging analysis change value in the corresponding period. Based on the temperature change of the cable in the corresponding period and the cable aging analysis change value in the corresponding period, conduct skin aging anomaly analysis. The skin aging anomaly analysis formula is as follows: , where T is the period duration, Flhz is the cable aging analysis change value at the end of the period, Flhc is the cable aging analysis change value at the start of the period, exp() is the exponential power of the natural constant e, Tt is the temperature of the cable at time t, Tm is the maximum value of the safe range of the cable temperature, and dt is the time integral; The aging analysis anomaly detection of the cable skin mainly relies on the influence of temperature change on cable aging. By monitoring the temperature change and the corresponding aging degree of the cable within a specific time period, these two parameters are combined using the formula to evaluate whether there is abnormal aging of the cable skin. Specifically, the integral part in the formula accumulates the temperature exceeding the standard within the safe temperature range, considering the accelerating effect of temperature on cable aging, so as to evaluate the change amount of aging at the end of the period; This method can effectively identify possible abnormal aging and provide a scientific basis for cable maintenance and replacement; Step 3: Conduct power transmission anomaly analysis based on the aging change of the cable skin, the future power transmission plan, and the cable power transmission situation; In this embodiment, the power transmission anomaly analysis includes the following specific steps: Step 301: Obtain the future power transmission plan and the cable power transmission situation, and import the future power transmission plan and the cable power transmission situation for power transmission comparison. The power transmission comparison formula is as follows: , where Itc is the current at time tc of the future power transmission plan, and Itc is the current at time tz of the previous period. Since the generated heat is proportional to the square of the current, the square is used here to quantify the comparison of the generated heat, so as to analyze the influence comparison of power transmission on the cable skin; Step 302: Obtain the power transmission comparison result, the skin aging anomaly analysis result, and the cable aging analysis result to predict the cable aging in the next period. The formula for predicting the cable aging in the next period is as follows: , where a is the aging influence factor, which represents the influence of aging anomalies of the aged cable on the aging rate, and takes a value of 0.1 - 0.3. Since the skin properties of the more aged cable change, under the same environment, the aging rate of the cable with a greater degree of aging is greater. The reasons are as follows: Accumulation of molecular chain breakage: As the cable ages, the molecular chains in the insulating material gradually break, resulting in a decrease in material strength. For a cable with a high degree of aging, the molecular chain breakage is more severe, further accelerating subsequent aging; Accumulation of oxidation products: During the aging process, oxidation products such as carbonyl compounds will be generated in the cable material. These products will accelerate the oxidation reaction, leading to a vicious cycle of aging and an increase in speed; In the aged cable, the insulation performance may decrease in local areas, resulting in a redistribution of the electric field and an increase in the electric field strength, thereby accelerating the further aging of this area; Local heating (thermal spikes): The resistance in the aging area may increase, resulting in local heating and an increase in temperature. The increase in temperature will further accelerate the chemical reaction and further accelerate aging. Under the same conditions, the cable with a greater degree of aging will have a faster aging rate, which is the result of the combined action of multiple factors such as molecular chain breakage, accumulation of oxidation products, electric field changes, and local heating; Step 303: Obtain the operating current condition in the next cycle and the predicted value of cable aging in the next cycle, and perform power transmission anomaly analysis based on the operating current condition in the next cycle and the predicted value of cable aging in the next cycle. Among them, the power transmission anomaly analysis formula is: , where Im is the maximum value of the safe range of the current transmitted when the cable is designed. In this formula, by comprehensively analyzing the combined influence of cable aging and current magnitude on current leakage, cable aging will lead to a decline in the performance of the insulation layer, increasing the possibility of current leakage. The aged cable is more likely to be further damaged due to external environmental factors (such as temperature, humidity), increasing the leakage risk; Influence of current magnitude on leakage: An excessive impact current will accelerate the aging process of the insulation layer, resulting in a decline in insulation ability and an increase in the possibility of leakage; A large current may cause the cable to overheat, accelerate the decomposition of the insulating material, and exacerbate the leakage situation; The higher the degree of cable aging, under the same current condition, the leakage risk increases significantly. The combined action of the current magnitude and the degree of cable aging will accelerate the failure process of the cable, thereby increasing the possibility of leakage; Step 4: Perform next-cycle cable anomaly analysis based on the results of skin aging anomaly analysis and power transmission anomaly analysis; In this embodiment, performing next-cycle cable anomaly analysis based on the results of skin aging anomaly analysis and power transmission anomaly analysis includes the following specific contents: Obtain the power transmission hazard value by dividing the calculated power transmission anomaly analysis result by the power transmission anomaly analysis result safety value, and obtain the aging hazard value by dividing the next-cycle cable aging prediction result by the aging result safety value. After performing weighted summation on the power transmission hazard value and the aging hazard value, the next-cycle cable anomaly analysis result is obtained; Step 5, perform cable replacement warning based on the obtained cable transmission anomaly analysis results; In this embodiment, performing cable replacement warning based on the obtained cable transmission anomaly analysis results includes the following specific steps: compare the calculated cable anomaly analysis results for the next period with the set cable anomaly analysis threshold. If the obtained cable anomaly analysis results for the next period are greater than or equal to the set cable anomaly analysis threshold, then perform cable replacement warning. If the obtained cable anomaly analysis results for the next period are less than the set cable anomaly analysis threshold, then display that the cable is operating normally.

[0019] Secondly, in this embodiment, it should be noted that the value-taking method of the set parameters (such as thresholds, various proportion influences, or weights) in this application is as follows: obtain the historical temperature change of the cable, the aging change of the cable surface skin, and the corresponding future power transmission planning situation. At the same time, obtain the judgment result of whether a leakage accident occurs during the operation of the cable in the next period. Substitute the operation situation data into the calculation results of this embodiment and import the judgment results into the fitting software for data fitting iteration to obtain the value-taking of the set parameters (such as thresholds, various proportion influences, or weights) that meets the maximum judgment result accuracy rate.

[0020] Finally, explain the benefits of this embodiment. By real-time monitoring the temperature change and surface aging of the cable, potential aging problems of the cable can be discovered in time, avoiding sudden failures caused by long-term aging of the cable. Aging anomaly analysis can help identify abnormal changes in the cable surface skin, further preventing possible leakage or short-circuit accidents. By analyzing the cable temperature and aging changes, the load and operation status of the cable can be optimized, avoiding accelerating the aging of the cable due to overload or improper use. The cable replacement warning mechanism can effectively reduce power outages or accidents caused by cable aging or anomalies. Through anomaly analysis and warning, the operation of the power system becomes more stable and the safety is significantly improved.

[0021] Secondly, as Figure 4As shown, this embodiment also provides a wireless cable temperature measurement system based on the Internet of Things, which is implemented based on the above-mentioned wireless cable temperature measurement method based on the Internet of Things. Specifically, it includes a data acquisition module, an aging anomaly analysis module, a power transmission anomaly analysis module, a cable anomaly analysis module, and a cable replacement warning module. Among them, the data acquisition module is used to obtain the temperature change of the cable and the aging change of the cable surface, and at the same time obtain the future power transmission plan. The aging anomaly analysis module performs surface aging anomaly analysis based on the temperature change of the cable and the aging change of the cable surface. The power transmission anomaly analysis module performs power transmission anomaly analysis based on the aging change of the cable surface, the future power transmission plan, and the cable power transmission situation. The cable anomaly analysis module performs next-cycle cable anomaly analysis based on the results of the surface aging anomaly analysis and the power transmission anomaly analysis. The cable replacement warning module performs cable replacement warning based on the obtained cable transmission anomaly analysis results. Figure 4 The arrow direction in represents the data transmission direction. Among them, the output end of the data acquisition module is respectively connected to the aging anomaly analysis module and the power transmission anomaly analysis module. The output end of the aging anomaly analysis module is connected to the power transmission anomaly analysis module. The output end of the power transmission anomaly analysis module is connected to the cable anomaly analysis module. The output end of the cable anomaly analysis module is connected to the cable replacement warning module.

[0022] Then, this embodiment also provides an electronic device, including: a processor and a memory. Among them, the memory stores a computer program that can be called by the processor. The processor executes the above-mentioned wireless cable temperature measurement method based on the Internet of Things by calling the computer program stored in the memory.

[0023] This electronic device may have relatively large differences due to configuration or performance, and can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the wireless cable temperature measurement method based on the Internet of Things provided by the above method embodiment. This electronic device can also include other components for implementing device functions. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0024] Finally, this embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored. When the computer program runs on a computer device, it causes the computer device to execute the above-mentioned wireless cable temperature measurement method based on the Internet of Things.

[0025] For example, a computer-readable storage medium can be a read-only memory, a random access memory, a read-only optical disc, magnetic tapes, floppy disks, and optical data storage devices, etc.

[0026] Those skilled in the art should understand that the embodiments of the present invention can provide a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) that contain computer-usable program code.

[0027] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0028] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0029] These computer program instructions can also be loaded onto a computer or other programmable data processing devices, so that a series of operation steps are executed on the computer or other programmable devices to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable devices provide steps for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0030] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0031] The memory may include non-permanent memory in the form of computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of computer-readable media.

[0032] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0033] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0034] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A wireless cable temperature measurement method based on the Internet of Things, characterized in that, It includes the following specific steps: Step 1, obtain the temperature change of the cable and the aging change of the cable skin, and at the same time obtain the future power transmission plan; Step 2, conduct skin aging anomaly analysis based on the temperature change of the cable and the aging change of the cable skin; It includes the following specific content: conduct cable aging analysis based on the image change of the cable skin and the elastic change of the cable skin, and conduct skin aging anomaly analysis based on the temperature change of the cable in the corresponding period and the change value of the cable aging analysis in the corresponding period; Step 3, conduct power transmission anomaly analysis based on the aging change of the cable skin, the future power transmission plan, and the cable power transmission; Step 4, conduct next-period cable anomaly analysis based on the skin aging anomaly analysis result and the power transmission anomaly analysis result; Step 5, conduct cable replacement warning based on the obtained cable transmission anomaly analysis result.

2. The wireless cable temperature measurement method based on the Internet of Things according to claim 1, characterized in that, The skin aging anomaly analysis includes the following specific steps: Step 201, obtain the image change of the cable skin and the elastic change of the cable skin during the detection process; Step 202: Conduct aging analysis of the cable based on the image change condition of the cable skin and the elastic change condition of the cable skin. The cable aging analysis formula is as follows: , where fc is the elastic data of the cable skin in real time, fm is the elastic data of the skin at the starting moment of cable use, M is the number of skin pixel points, xj is the pixel value of the j-th pixel point on the cable in real time, and xjm is the pixel value of the j-th pixel point at the starting moment of cable use; Step 203, obtain the temperature change of the cable in the corresponding period, and at the same time obtain the change value of the cable aging analysis in the corresponding period, and conduct skin aging anomaly analysis based on the temperature change of the cable in the corresponding period and the change value of the cable aging analysis in the corresponding period.

3. The wireless cable temperature measurement method based on the Internet of Things according to claim 2, wherein, The power transmission anomaly analysis includes the following specific steps: Step 301, obtain the future power transmission plan and the cable power transmission, and import the future power transmission plan and the cable power transmission for power transmission comparison; Step 302, obtain the power transmission comparison result, the skin aging anomaly analysis result, and the cable aging analysis result for next-period cable aging prediction; Step 303, obtain the operating current in the next period and the next-period cable aging prediction value, and conduct power transmission anomaly analysis based on the operating current in the next period and the next-period cable aging prediction value.

4. The wireless cable temperature measurement method based on the Internet of Things according to claim 3, characterized in that, The next-period cable anomaly analysis based on the skin aging anomaly analysis result and the power transmission anomaly analysis result includes the following specific content: Obtain the power transmission risk value by dividing the calculated power transmission anomaly analysis result by the safety value of the power transmission anomaly analysis result, obtain the aging risk value by dividing the next-period cable aging prediction result by the safety value of the aging result, and obtain the next-period cable anomaly analysis result after weighted summation of the power transmission risk value and the aging risk value.

5. The wireless cable temperature measurement method based on the Internet of Things according to claim 4, characterized in that, The cable replacement warning based on the obtained cable transmission anomaly analysis result includes the following specific steps: compare the calculated next-period cable anomaly analysis result with the set cable anomaly analysis threshold. If the obtained next-period cable anomaly analysis result is greater than or equal to the set cable anomaly analysis threshold, conduct cable replacement warning. If the obtained next-period cable anomaly analysis result is less than the set cable anomaly analysis threshold, display that the cable is operating normally.

6. The wireless cable temperature measurement method based on the Internet of Things according to claim 2, characterized in that The epidermal aging abnormality analysis formula in the step 203 is as follows: , where T is the cycle duration, Flhz is the cable aging analysis change value at the end of the cycle, Flhc is the cable aging analysis change value at the start of the cycle, exp() is the exponential power of the natural constant e, Tt is the temperature of the cable at time t, Tm is the maximum value of the safe range of the cable temperature, and dt is the time integral.

7. A wireless cable temperature measurement system based on the Internet of Things, which is implemented based on the wireless cable temperature measurement method based on the Internet of Things according to any one of claims 1-6, characterized in that Specifically, it includes a data acquisition module, an aging anomaly analysis module, a power transmission anomaly analysis module, a cable anomaly analysis module, and a cable replacement warning module. Among them, the data acquisition module is used to obtain the temperature change of the cable and the aging change of the cable surface, and at the same time obtain the future power transmission planning situation. The aging anomaly analysis module conducts surface aging anomaly analysis based on the temperature change of the cable and the aging change of the cable surface. The power transmission anomaly analysis module conducts power transmission anomaly analysis based on the aging change of the cable surface, the future power transmission planning situation, and the cable power transmission situation. The cable anomaly analysis module conducts next-cycle cable anomaly analysis based on the surface aging anomaly analysis result and the power transmission anomaly analysis result. The cable replacement warning module conducts cable replacement warning based on the obtained cable transmission anomaly analysis result.

8. An electronic device, comprising: A processor and a memory, wherein a computer program callable by the processor is stored in the memory. It is characterized in that the processor executes a wireless cable temperature measurement method based on the Internet of Things according to any one of claims 1-6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that, Stored with instructions, when the instructions run on a computer, the computer is caused to execute a wireless cable temperature measurement method based on the Internet of Things according to any one of claims 1-6.

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