A wireless cable temperature measurement system and method based on the Internet of Things

Abstract

The present application discloses a wireless cable temperature measurement system and method based on the Internet of Things, which belongs to the field of cable management. By real-time monitoring of the temperature changes and surface aging of the cable, the present application can timely discover potential aging problems of the cable and avoid sudden failure of the cable due to long-term aging. Aging abnormality analysis can help identify abnormal changes in the cable surface and further prevent 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 to avoid 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 abnormalities. Through abnormality analysis and early warning, the operation of the power system becomes more stable and the safety is significantly improved.

Description

Technical Field

[0001] The present application relates to the field of cable management, and more specifically 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, cables are important transmission media. Their safety and reliability 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 declines, 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 greatly shortened, which is prone to safety accidents. 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 surface status detection, lack the ability to deeply analyze the internal aging process of cables, and cannot effectively predict potential failure risks. In addition, the expansion of power systems and the increase in loads have put higher requirements on the reliability of cables. Traditional maintenance methods can no longer meet the requirements of modern power systems for efficiency, safety and intelligence.

[0003] With the development of smart grids and the growth of electricity demand, power system security monitoring and early warning technologies have become a research hotspot. However, existing technologies still have shortcomings in cable aging mechanism analysis, real-time status monitoring, and early warning prediction. A comprehensive solution is urgently needed.

[0004] In order to improve the accuracy of heat exchange effect analysis, this application designs a wireless cable temperature measurement system and method based on the Internet of Things. Summary of the Invention

[0005] In order to address the deficiencies in the existing technology mentioned in the background technology, the present application proposes a wireless cable temperature measurement system and method based on the Internet of Things. By real-time monitoring of the temperature changes and surface aging of the cable, the present application can timely discover potential aging problems of the cable and avoid sudden failures of the cable due to long-term aging. Aging abnormality analysis can help identify abnormal changes in the cable surface and further prevent 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 to avoid 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 abnormalities. Through abnormal analysis and early warning, the operation of the power system becomes more stable and the safety is significantly improved.

[0006] To achieve the above objectives, the present application provides the following technical solutions: In the first aspect, the present application provides a wireless cable temperature measurement method based on the Internet of Things, which includes the following specific steps:

[0007] Step 1: Obtain the temperature change of the cable and the aging change of the cable surface, and obtain the future power transmission planning;

[0008] Step 2: Analyze cable skin aging abnormalities based on cable temperature changes and cable skin aging changes;

[0009] Step 3: Perform power transmission anomaly analysis based on the aging changes of the cable surface, future power transmission planning, and cable power transmission conditions;

[0010] Step 4: Perform cable abnormality analysis for the next cycle based on the results of the skin aging abnormality analysis and the power transmission abnormality analysis;

[0011] Step 5: Provide a warning for cable replacement based on the obtained cable transmission abnormality analysis results.

[0012] Preferably, based on the above solution, the specific contents of obtaining the temperature change of the cable and the aging change of the cable surface, and obtaining the future power transmission planning are:

[0013] Step 101: Acquire real-time temperature change and current transmission data of the cable based on an infrared temperature sensor, construct a cable temperature change curve and store it in a corresponding storage component;

[0014] Step 102: Capture the image changes of the cable skin through the image acquisition terminal and the elasticity changes of the cable skin through the elasticity sensor, and store them in the corresponding storage module for analyzing the aging of the cable skin, analyzing the negative impact of power transmission on the cable skin in the next cycle, and comprehensively analyzing the cable power transmission status to analyze the risk of cable skin failure in the next cycle;

[0015] Step 103: Obtain the planned future power transmission status of the cable and store it in the corresponding storage component. For power equipment, there is generally a future usage plan corresponding to the next cycle, such as usage time and usage process planning, and the cable is used to transmit power between the power equipment and the power supply. Therefore, the power transmission status of the cable in the next cycle can be obtained through the usage planning of the power equipment, and the collected data is transmitted to the Internet of Things platform.

[0016] Preferably, based on the above solution, the analysis of abnormal epidermal aging includes the following specific steps:

[0017] Step 201: Acquire image changes of the cable skin and elastic changes of the cable skin during the detection process;

[0018] Step 202: Perform cable aging analysis based on the image change of the cable skin and the elastic change of the cable skin. The cable aging analysis formula is: , where fc is the real-time elasticity data of the cable skin, fm is the skin elasticity data at the start of cable use, M is the number of skin pixels, xj is the real-time pixel value of the j-th pixel on the cable, and xjm is the pixel value of the j-th pixel at the start of cable use. This step comprehensively analyzes the cable skin aging through the pixel and elasticity changes of the cable skin, combines the degree of surface defects with the elastic performance, and comprehensively reflects the aging condition of the cable skin;

[0019] Step 203: Obtain the temperature change of the cable in the corresponding period, and simultaneously obtain the cable aging analysis change value in the corresponding period. Perform skin aging abnormality analysis based on the temperature change of the cable in the corresponding period and the cable aging analysis change value in the corresponding period. The skin aging abnormality analysis formula is: , 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 beginning of the cycle, exp() is the power of the natural constant e, Tt is the cable temperature at time t, Tm is the maximum value of the cable temperature in the safe range, and dt is the time integral; the abnormal detection of cable skin aging analysis is mainly based on the impact of temperature changes on cable aging. By monitoring the temperature changes and corresponding aging degrees of the cable within a specific time period, the two parameters are combined using a formula to evaluate whether there is abnormal aging of the cable skin. Specifically, the integral part of the formula accumulates the temperature exceeding the standard within the safe temperature range, taking into account the accelerated effect of temperature on cable aging, thereby evaluating the change in aging at the end of the cycle; this method can effectively identify possible abnormal aging and provide a scientific basis for cable maintenance and replacement.

[0020] Preferably, based on the above solution, the power transmission abnormality analysis includes the following specific steps:

[0021] Step 301: Obtain the future power transmission planning and cable power transmission situation, import the future power transmission planning and cable power transmission situation to perform power transmission comparison, wherein the power transmission comparison formula is: , 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 cycle. Since the heat generated is proportional to the square of the current, the square is used here to quantify the comparison of the heat generated, thereby analyzing the impact of power transmission on the cable skin.

[0022] Step 302: Obtain the power transmission comparison result, the skin aging abnormality analysis result, and the cable aging analysis result to predict the cable aging in the next cycle. The cable aging prediction formula for the next cycle is: , where a is the aging impact factor, which characterizes the influence of aging abnormalities on the aging rate of the aged cable, and is set to 0.1-0.3. As the surface properties of the aged cable change, the aging rate of the cable with a greater degree of aging will be greater under the same environment;

[0023] Step 303: Obtain the operating current of the next cycle and the predicted value of cable aging of the next cycle, and perform power transmission anomaly analysis based on the operating current of the next cycle and the predicted value of cable aging of the next cycle. The power transmission anomaly analysis formula is: , where Im is the maximum value of the safe range of current transmitted when the cable is designed. In this formula, the impact of the combined effects of cable aging and current size on current leakage is comprehensively analyzed.

[0024] Preferably, based on the above solution, the cable abnormality analysis for the next cycle based on the skin aging abnormality analysis results and the power transmission abnormality analysis results includes the following specific contents:

[0025] The calculated power transmission anomaly analysis result is divided by the safety value of the power transmission anomaly analysis result to obtain the power transmission hazard value. The cable aging prediction result of the next cycle is divided by the safety value of the aging result to obtain the aging hazard value. The power transmission hazard value and the aging hazard value are weighted and summed to obtain the cable anomaly analysis result of the next cycle.

[0026] Preferably, based on the above scheme, the cable replacement warning based on the obtained cable transmission abnormality analysis result includes the following specific steps: comparing the calculated cable abnormality analysis result of the next cycle with the set cable abnormality analysis threshold; if the obtained cable abnormality analysis result of the next cycle is greater than or equal to the set cable abnormality analysis threshold, a cable replacement warning is issued; if the obtained cable abnormality analysis result of the next cycle is less than the set cable abnormality analysis threshold, the cable is displayed to be operating normally.

[0027] In the 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, and 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; wherein, the data acquisition module is used to obtain the temperature changes of the cable and the aging changes of the cable surface, and at the same time obtain the future power transmission planning; the aging anomaly analysis module performs surface aging anomaly analysis based on the temperature changes of the cable and the aging changes of the cable surface; the power transmission anomaly analysis module performs power transmission anomaly analysis based on the aging changes of the cable surface, future power transmission planning and cable power transmission; the cable anomaly analysis module performs next-cycle cable anomaly analysis based on the surface aging anomaly analysis results and the power transmission anomaly analysis results; the cable replacement warning module performs cable replacement warning based on the obtained cable transmission anomaly analysis results.

[0028] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0029] 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.

[0030] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions. When the instructions are executed on a computer, the computer executes the above-mentioned wireless cable temperature measurement method based on the Internet of Things.

[0031] At the same time, compared with the existing technology, the technical effects and advantages of this application are:

[0032] The advantages of this application are: by real-time monitoring of the temperature changes and surface aging of the cable, this application can timely discover potential aging problems of the cable and avoid sudden failures of the cable due to long-term aging. Aging abnormality analysis can help identify abnormal changes in the cable surface and further prevent 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 to avoid 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 abnormalities. Through abnormal analysis and early warning, the operation of the power system becomes more stable and the safety is significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0034] Figure 1 The figure is a schematic diagram of the overall process of a wireless cable temperature measurement method based on the Internet of Things;

[0035] Figure 2 This is a schematic diagram of a specific process of step 2 of a wireless cable temperature measurement method based on the Internet of Things;

[0036] Figure 3 Schematic diagram of the specific process of step 3 of a wireless cable temperature measurement method based on the Internet of Things;

[0037] Figure 4 This is a schematic diagram of the module composition of a wireless cable temperature measurement system based on the Internet of Things. DETAILED DESCRIPTION

[0038] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are only some embodiments of the present application, rather than all embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is in no way intended to limit the present application, its application, or use.

[0039] In addition, the accompanying drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor and / or microcontroller approaches.

[0040] It should be understood that although the terms "first," "second," and the like may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used solely to distinguish one element from another. For example, a first element may be referred to as a second element, and a similar second element may be referred to as a first element, without departing from the scope of the exemplary embodiments. The term "and / or" as used herein includes any and all combinations of one or more of the listed associated items.

[0041] In order to solve the technical problems raised in the background technology, this application provides a preferred embodiment: Figure 1-Figure 3 As shown, a wireless cable temperature measurement method based on the Internet of Things includes the following specific steps:

[0042] Step 1: Obtain the temperature change of the cable and the aging change of the cable surface, and obtain the future power transmission planning;

[0043] In this embodiment, the temperature change of the cable and the aging change of the cable surface are obtained, and the specific content of the future power transmission planning is obtained as follows:

[0044] Step 101: Based on the infrared temperature sensor, the real-time temperature change and current transmission data of the cable are obtained, and a cable temperature change curve is constructed and stored in the corresponding storage component. Using an infrared temperature sensor to collect the temperature of an object is a conventional technology in this field. The infrared temperature sensor measures the temperature by detecting the strong 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 charging pile 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. It is efficient, safe and accurate. The temperature is measured wirelessly. For example, an infrared sensor installed above the cable performs wireless infrared temperature measurement on the cable.

[0045] Step 102: Capture the image changes of the cable skin through the image acquisition terminal and the elasticity changes of the cable skin through the elasticity sensor, and store them in the corresponding storage module for analyzing the aging of the cable skin, analyzing the negative impact of power transmission on the cable skin in the next cycle, and comprehensively analyzing the cable power transmission status to analyze the risk of cable skin failure in the next cycle;

[0046] The specific steps for capturing image changes of the cable surface 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 of 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, and detection environment of the cable; ensure that the camera supports industrial interfaces (such as GigE, USB3.0, etc.) to facilitate connection with subsequent data acquisition systems. Scene layout and light source setting: In the cable installation environment, set up an appropriate backlight or ring light source to avoid the impact of shadows and reflections on 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 shoot the cable surface from multiple angles to ensure that the entire cable is covered;

[0047] The steps for obtaining the elastic changes of the cable skin through elastic sensors are as follows: Elastic sensor selection: Select a suitable elastic sensor, commonly including piezoelectric sensors, strain gauge sensors or touch pressure sensors, and select a sensor with suitable sensitivity and accuracy according to the material properties 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; Use standard elastic testing instruments to calibrate the sensor to ensure the accuracy of the measured value; Set the working range of the sensor to adapt to the expected range of elastic changes of the cable skin; Data acquisition and transmission: Use a data acquisition (DAQ) device or a microcontroller (such as Arduino, STM32) to acquire the sensor signal; Transmit the collected elastic data to the control system or Internet of Things platform via wired (RS485, CAN bus) or wireless (Wi-Fi, Bluetooth);

[0048] Step 103: Obtain the planned future power transmission status of the cable and store it in the corresponding storage component. For power equipment, there is generally a future usage plan corresponding to the next cycle, such as usage time and usage process planning. Cables are used to transmit power between power equipment and power sources. Therefore, the power transmission status of the cable in the next cycle can be obtained based on the usage plan of the power equipment. The collected data is transmitted to the Internet of Things platform.

[0049] Exemplary steps for transmitting collected data to the IoT platform are as follows: 1. Data acquisition and sensor connection: Use an infrared temperature sensor to collect 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 sensor data; use an appropriate interface (such as I2C, SPI, UART) to connect the sensor, and write firmware code to periodically read temperature data; 3. Communication module integration: Integrate a wireless communication module (such as Wi-Fi, Bluetooth, LoRaWAN) into the microcontroller to enable data transmission;

[0050] Step 2: Analyze cable skin aging abnormalities based on cable temperature changes and cable skin aging changes;

[0051] In this embodiment, the analysis of epidermal aging abnormalities includes the following specific steps:

[0052] Step 201: Acquire image changes of the cable skin and elastic changes of the cable skin during the detection process;

[0053] Step 202: Perform cable aging analysis based on the image change of the cable skin and the elastic change of the cable skin. The cable aging analysis formula is: , where fc is the real-time elasticity data of the cable skin, fm is the skin elasticity data at the start of cable use, M is the number of skin pixels, xj is the real-time pixel value of the j-th pixel on the cable, and xjm is the pixel value of the j-th pixel at the start of cable use. This step comprehensively analyzes the cable skin aging through the pixel and elasticity changes of the cable skin, combines the degree of surface defects with the elastic performance, and comprehensively reflects the aging condition of the cable skin;

[0054] Step 203: Obtain the temperature change of the cable in the corresponding period, and simultaneously obtain the cable aging analysis change value in the corresponding period. Perform skin aging abnormality analysis based on the temperature change of the cable in the corresponding period and the cable aging analysis change value in the corresponding period. The skin aging abnormality analysis formula is: , 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 beginning of the cycle, exp() is the power of the natural constant e, Tt is the cable temperature at time t, Tm is the maximum value of the cable temperature in the safe range, and dt is the time integral; the abnormal detection of cable skin aging analysis is mainly based on the impact of temperature changes on cable aging. By monitoring the temperature changes and corresponding aging degrees of the cable within a specific time period, the two parameters are combined using a formula to evaluate whether there is abnormal aging of the cable skin. Specifically, the integral part of the formula accumulates the temperature exceeding the standard within the safe temperature range, taking into account the accelerated effect of temperature on cable aging, so as to evaluate the change in aging at the end of the cycle; this method can effectively identify possible abnormal aging and provide a scientific basis for cable maintenance and replacement;

[0055] Step 3: Perform power transmission anomaly analysis based on the aging changes of the cable surface, future power transmission planning, and cable power transmission conditions;

[0056] In this embodiment, power transmission anomaly analysis includes the following specific steps:

[0057] Step 301: Obtain the future power transmission planning and cable power transmission situation, import the future power transmission planning and cable power transmission situation to perform power transmission comparison, wherein the power transmission comparison formula is: , 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 cycle. Since the heat generated is proportional to the square of the current, the square is used here to quantify the comparison of the heat generated, thereby analyzing the impact of power transmission on the cable skin.

[0058] Step 302: Obtain the power transmission comparison result, the skin aging abnormality analysis result, and the cable aging analysis result to predict the cable aging in the next cycle. The cable aging prediction formula for the next cycle is: , where a is the aging influencing factor, which characterizes the influence of aging anomalies of aged cables on the aging rate and has a value of 0.1-0.3. Since the surface properties of the aged cable change, the aging rate of the cable with a greater degree of aging is greater under the same environment. The reasons are: accumulation of molecular chain breakage: as the cable ages, the molecular chains in the insulation material gradually break, resulting in a decrease in material strength. For cables with a high degree of aging, the molecular chain breakage is more serious, further accelerating subsequent aging; accumulation of oxidation products: during the aging process, the cable material will generate oxidation products, such as carbonyl compounds, which will accelerate the oxidation reaction, causing the aging to enter a vicious cycle and accelerate the speed; the aged cable may experience a decrease in insulation performance in local areas, resulting in redistribution of the electric field and an increase in the electric field strength, thereby accelerating further aging in the area; local heating (hot spot): the resistance of the aged area may increase, resulting in local heating and temperature increase. The temperature increase will accelerate chemical reactions, further accelerating aging. The cable with a greater degree of aging will have a faster aging rate under the same conditions. This is due to the combined action of multiple factors such as molecular chain breakage, accumulation of oxidation products, electric field changes and local heating;

[0059] Step 303: Obtain the operating current of the next cycle and the predicted value of cable aging of the next cycle, and perform power transmission anomaly analysis based on the operating current of the next cycle and the predicted value of cable aging of the next cycle. The power transmission anomaly analysis formula is: , where Im is the maximum value of the safe range of current transmission when the cable is designed. In this formula, by comprehensively analyzing the impact of the combined effects of cable aging and current size on current leakage, cable aging will cause the insulation layer performance to decline, increasing the possibility of current leakage. Aged cables are more likely to be further damaged by external environmental factors (such as temperature and humidity), increasing the risk of leakage; the impact of current size on leakage: excessive impact current will accelerate the aging process of the insulation layer, resulting in a decline in insulation capacity and an increase in the possibility of leakage; large current may cause cable overheating, accelerate the decomposition of insulation materials, and aggravate leakage; the higher the degree of cable aging, the more significantly the leakage risk increases under the same current conditions. The combined effect of current size and cable aging will accelerate the failure process of the cable, thereby increasing the possibility of leakage;

[0060] Step 4: Perform cable abnormality analysis for the next cycle based on the results of the skin aging abnormality analysis and the power transmission abnormality analysis;

[0061] In this embodiment, the cable abnormality analysis for the next cycle based on the skin aging abnormality analysis results and the power transmission abnormality analysis results includes the following specific contents:

[0062] Obtain the calculated power transmission anomaly analysis result and divide it by the safety value of the power transmission anomaly analysis result to obtain the power transmission risk value; divide the cable aging prediction result of the next cycle by the safety value of the aging result to obtain the aging risk value; perform weighted summation of the power transmission risk value and the aging risk value to obtain the cable anomaly analysis result of the next cycle;

[0063] Step 5: Based on the obtained cable transmission abnormality analysis results, an early warning of cable replacement is issued;

[0064] In this embodiment, the cable replacement warning based on the obtained cable transmission abnormality analysis result includes the following specific steps: comparing the calculated cable abnormality analysis result of the next cycle with the set cable abnormality analysis threshold; if the obtained cable abnormality analysis result of the next cycle is greater than or equal to the set cable abnormality analysis threshold, a cable replacement warning is issued; if the obtained cable abnormality analysis result of the next cycle is less than the set cable abnormality analysis threshold, the cable is displayed as operating normally.

[0065] Secondly, it should be noted that in this embodiment, the setting parameters (such as thresholds, respective proportions or weights) in this application are obtained in the following manner: obtaining the temperature changes of the historical cables, the aging changes of the cable surface and the corresponding future power transmission planning, and at the same time obtaining the judgment result of whether a leakage accident occurs during the operation of the cable in the next cycle, substituting the operating data into the calculation results and judgment results of this embodiment and importing them into the fitting software for data fitting iteration to obtain the values of the setting parameters (such as thresholds, respective proportions or weights) that meet the maximum accuracy of the judgment results.

[0066] Finally, the benefits of this embodiment are explained here. By real-time monitoring of the temperature changes and surface aging of the cable, this embodiment can promptly discover potential aging problems of the cable and avoid sudden failures of the cable due to long-term aging. Aging abnormality analysis can help identify abnormal changes in the cable surface and further prevent 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 to avoid 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 abnormalities. Through abnormal analysis and early warning, the operation of the power system becomes more stable and the safety is significantly improved.

[0067] Secondly, if 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, and 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; wherein 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; 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 planning and the cable power transmission; the cable anomaly analysis module performs cable anomaly analysis in the next cycle based on the surface aging anomaly analysis results and the power transmission anomaly analysis results; the cable replacement warning module performs cable replacement warning based on the obtained cable transmission anomaly analysis results, Figure 4 The direction of the arrow in the figure represents the direction of data transmission, wherein the output end of the data acquisition module is connected to the aging anomaly analysis module and the power transmission anomaly analysis module respectively, 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, and the output end of the cable anomaly analysis module is connected to the cable replacement warning module.

[0068] Then, this embodiment further provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0069] 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.

[0070] The electronic device may vary significantly due to different configurations or performance, and may include one or more processors and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the wireless cable temperature measurement method based on the Internet of Things provided in the above method embodiment. The electronic device may also include other components for implementing the device functions. For example, the electronic device may also have components such as a wired or wireless network interface and an input / output interface for data input and output. This embodiment will not be described in detail here.

[0071] Finally, this embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0072] When the computer program runs on a computer device, the computer device executes the above-mentioned wireless cable temperature measurement method based on the Internet of Things.

[0073] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0074] Those skilled in the art will appreciate that embodiments of the present invention may provide methods, systems, or computer program products. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0078] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0079] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0080] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology for information storage. 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 RAM (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 cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission 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.

[0081] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not preclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0082] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to 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 surface, and obtain the future power transmission planning; Step 2: Analyze cable skin aging abnormalities based on cable temperature changes and cable skin aging changes; The following specific contents are included: cable aging analysis based on the image changes of the cable skin and the changes in the elasticity of the cable skin; skin aging abnormality analysis based on the temperature changes of the cable in the corresponding cycle and the cable aging analysis change values of the corresponding cycle; Step 3: Perform power transmission anomaly analysis based on the aging changes of the cable surface, future power transmission planning, and cable power transmission conditions; Step 4: Perform cable abnormality analysis for the next cycle based on the results of the skin aging abnormality analysis and the power transmission abnormality analysis; Step 5: Provide a warning for cable replacement based on the obtained cable transmission abnormality analysis results.

2. A wireless cable temperature measurement method based on the Internet of Things according to claim 1, characterized in that: The epidermal aging abnormality analysis includes the following specific steps: Step 201: Acquire image changes of the cable skin and elastic changes of the cable skin during the detection process; Step 202: Perform cable aging analysis based on the image change of the cable skin and the elastic change of the cable skin. The cable aging analysis formula is: , where fc is the real-time elasticity data of the cable skin, fm is the skin elasticity data at the start of cable use, M is the number of skin pixels, xj is the pixel value of the j-th pixel on the real-time cable, and xjm is the pixel value of the j-th pixel at the start of cable use; Step 203: Obtain the temperature change of the cable in the corresponding period, and simultaneously obtain the cable aging analysis change value in the corresponding period, and perform skin aging abnormality analysis based on the temperature change of the cable in the corresponding period and the cable aging analysis change value in the corresponding period.

3. A wireless cable temperature measurement method based on the Internet of Things as claimed in claim 2, characterized in that: The power transmission anomaly analysis includes the following specific steps: Step 301: Obtain future power transmission planning and cable power transmission status, import the future power transmission planning and cable power transmission status for power transmission comparison; Step 302: Obtain the power transmission comparison result, the skin aging abnormality analysis result, and the cable aging analysis result to perform cable aging prediction for the next cycle; Step 303: Obtain the operating current condition of the next cycle and the cable aging prediction value of the next cycle, and perform power transmission abnormality analysis based on the operating current condition of the next cycle and the cable aging prediction value of the next cycle.

4. A wireless cable temperature measurement method based on the Internet of Things as claimed in claim 3, characterized in that: The cable abnormality analysis for the next cycle based on the skin aging abnormality analysis results and the power transmission abnormality analysis results includes the following specific contents: The calculated power transmission anomaly analysis result is divided by the safety value of the power transmission anomaly analysis result to obtain the power transmission hazard value. The cable aging prediction result of the next cycle is divided by the safety value of the aging result to obtain the aging hazard value. The power transmission hazard value and the aging hazard value are weighted and summed to obtain the cable anomaly analysis result of the next cycle.

5. The method for measuring temperature of a wireless cable based on the Internet of Things according to claim 4, wherein: The cable replacement warning based on the obtained cable transmission abnormality analysis result includes the following specific steps: comparing the calculated cable abnormality analysis result of the next cycle with the set cable abnormality analysis threshold; if the obtained cable abnormality analysis result of the next cycle is greater than or equal to the set cable abnormality analysis threshold, a cable replacement warning is issued; if the obtained cable abnormality analysis result of the next cycle is less than the set cable abnormality analysis threshold, the cable is displayed as operating normally.

6. The method for measuring temperature of a wireless cable based on the Internet of Things according to claim 2, wherein: The analysis formula for abnormal skin aging in step 203 is: , 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 beginning of the cycle, exp() is the power of the natural constant e, Tt is the cable temperature 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 to 6, characterized in that: 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; wherein, the data acquisition module is used to obtain the temperature changes of the cable and the aging changes of the cable surface, and at the same time obtain the future power transmission planning; the aging anomaly analysis module performs surface aging anomaly analysis based on the temperature changes of the cable and the aging changes of the cable surface; the power transmission anomaly analysis module performs power transmission anomaly analysis based on the aging changes of the cable surface, future power transmission planning and cable power transmission; the cable anomaly analysis module performs cable anomaly analysis in the next cycle based on the surface aging anomaly analysis results and the power transmission anomaly analysis results; the cable replacement warning module performs cable replacement warning based on the obtained cable transmission anomaly analysis results.

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

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

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