Photovoltaic cable for photovoltaic system control and heat resistance detection method thereof

Abstract

The present application relates to the technical field of photovoltaic cable manufacturing, in particular to a photovoltaic cable for photovoltaic system control and a heat resistance detection method thereof, which increases the heat resistance of the photovoltaic cable in a high-temperature environment, improves the ultraviolet resistance and corrosion resistance of the photovoltaic cable; comprising a conductor, an insulating sleeve and an outer sheath, the conductor is provided with three groups, each group of the conductor is wrapped with an insulating sleeve, the three groups of conductors wrapped with the insulating sleeve are twisted with each other, and the outer side of the three groups of insulating sleeves is wrapped with an outer sheath; the conductor is made of a tinned copper conductor material, and the insulating sleeve and the outer sheath are both made of a cross-linked polyethylene insulating material.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of photovoltaic cable manufacturing, and particularly relates to a photovoltaic cable for photovoltaic system control and a heat resistance detection method thereof. BACKGROUND

[0002] The photovoltaic cable is a key component of a wiring system connecting photovoltaic modules and inverters, and if a special cable for solar applications is not used, the service life of the entire system will be affected. Solar systems are often used in harsh environmental conditions, such as high temperature and ultraviolet radiation.

[0003] In terms of photovoltaics, materials used outdoors are subject to ultraviolet radiation, ozone, severe temperature changes and chemical attack, and the use of low-grade materials under such environmental stress will result in the cable sheath being brittle and the cable insulation layer being decomposed, all of which will directly increase the damage to the cable system and increase the risk of cable short circuits, and in the long term, the possibility of fire or personal injury is also higher.

[0004] During installation and maintenance, the cable can be routed over the sharp edges of the roof structure, and the cable must withstand pressure, bending, tension, cross-tension loads and strong impacts. If the cable sheath is not strong enough, the cable insulation layer will be severely damaged, thereby affecting the service life of the entire cable or causing short circuits, fire and personal injury hazards. SUMMARY

[0005] To solve the above technical problems, the present application provides a heat resistance detection method for a photovoltaic cable for photovoltaic system control, which increases the heat resistance of the photovoltaic cable in a high-temperature environment and improves the ultraviolet resistance and corrosion resistance of the photovoltaic cable.

[0006] In a first aspect, the present application provides a photovoltaic cable for photovoltaic system control, comprising a conductor, an insulating sleeve and an outer sheath, the conductor is provided with three groups, each group of the conductor is wrapped with an insulating sleeve, the three groups of conductors wrapped with the insulating sleeve are twisted with each other, and the outer side of the three groups of insulating sleeves is wrapped with an outer sheath; the conductor is made of a tinned copper conductor material, and the insulating sleeve and the outer sheath are both made of a cross-linked polyethylene insulating material.

[0007] A heat resistance detection method for a photovoltaic cable for photovoltaic system control, the method comprises:

[0008] Obtaining parameter information of a photovoltaic cable to be detected;

[0009] According to the parameter information of the photovoltaic cable to be detected, a cable detection item is formulated, the cable detection item comprises a heat aging test, a high-temperature tensile test, a high-temperature cycle test and an insulation resistance test;

[0010] A plurality of groups of samples are intercepted, each group of samples is classified and marked according to the cable detection project, and the marks of each group of samples are integrated to obtain a test sample set;

[0011] According to the cable detection project, the marked samples in the test sample set are classified and detected to obtain a heat resistance detection data set;

[0012] The heat resistance detection data set is input into a pre-constructed heat resistance performance analysis model to obtain a heat resistance performance index;

[0013] The heat resistance performance index is compared with a preset heat resistance performance threshold value, if the heat resistance performance index exceeds the preset heat resistance performance threshold value, it indicates that the batch of photovoltaic cables is qualified, if the heat resistance performance index does not exceed the preset heat resistance performance threshold value, it indicates that the batch of cables is unqualified.

[0014] Further, the method for obtaining the test sample set comprises:

[0015] A sufficient number of samples are randomly selected from the photovoltaic cables of the batch to be detected;

[0016] According to the requirements of different detection projects, each extracted cable sample is cut into small sections of appropriate length;

[0017] Each section of sample is clearly and durably marked, and the marking content includes sample number, source batch number and corresponding detection project;

[0018] All the marked samples are classified according to their corresponding detection projects;

[0019] The classified samples are packaged to prevent damage during transportation;

[0020] All the samples are correctly allocated to the corresponding detection projects to form a test sample set.

[0021] Further, the method for heat aging test comprises:

[0022] Select samples marked for heat aging test from the test sample set;

[0023] According to the actual working environment and expected service life of the photovoltaic cable, the temperature of the aging oven is set;

[0024] The sample is fixedly installed in the aging oven;

[0025] Start the aging oven, start heating and maintain the set temperature and humidity conditions;

[0026] Record the time when the test starts, and set the test duration;

[0027] During the test and after the test, data about the change of the performance of the sample is collected;

[0028] Based on the collected data, the performance changes of the samples during the aging test are evaluated.

[0029] Furthermore, the high temperature tensile test method includes:

[0030] Select a sample marked as a high temperature tensile test from the test sample set;

[0031] Set the temperature of the high-temperature environmental box according to the actual working environment and expected life of the photovoltaic cable;

[0032] Fix one end of the specimen to the fixture in the high-temperature environmental chamber and connect the other end to the fixture of the tensile testing machine;

[0033] Adjust the position and angle of the fixture so that the sample is in the correct stress state during the stretching process;

[0034] Start the high temperature environmental chamber and tensile testing machine, start heating and maintain the set temperature;

[0035] When the temperature reaches the set value and stabilizes, the tensile test begins;

[0036] During the stretching process, record the force and elongation curve of the sample, as well as the force and elongation when the sample breaks;

[0037] At the end of the test, data on the tensile properties of the specimens were collected;

[0038] Based on the collected data, the tensile properties of the samples under elevated temperature conditions were evaluated.

[0039] Furthermore, the high temperature cycle test method includes:

[0040] Selecting a sample marked as a high temperature cycle test from the test sample set;

[0041] Set the temperature range of the high-temperature cycle test chamber according to the actual working environment and expected life of the photovoltaic cable;

[0042] Set the number of cycles in the high temperature cycle test chamber and the high temperature duration in each cycle;

[0043] The sample is fixedly installed in a high temperature cycle test chamber;

[0044] Start the high temperature cycle test chamber, start heating and maintain the set temperature range;

[0045] In each cycle, when the temperature reaches the set high temperature value, the timing starts and is maintained for the set duration;

[0046] After the high-temperature duration ends, let the test chamber cool down to room temperature, and then start the next cycle; repeat the cycle process until the set number of cycles is reached;

[0047] During the test period, periodically check the appearance and performance changes of the samples, and record all observed changes and measurements;

[0048] According to the collected data, evaluate the performance stability of the samples in the high-temperature cycle test.

[0049] Further, the method for testing insulation resistance, comprising:

[0050] Select the sample marked as insulation resistance test from the test sample set;

[0051] According to the specifications and test standards of photovoltaic cables, set the test voltage of the insulation resistance tester;

[0052] Set the test time to ensure enough time to stabilize the measurement results during the test process;

[0053] Use the test electrodes and connecting wires to connect the two ends of the sample to the insulation resistance tester;

[0054] Start the insulation resistance tester and begin applying the set test voltage; when the test time reaches the set value, record the final insulation resistance value displayed by the insulation resistance tester.

[0055] Further, the method for constructing the heat resistance performance analysis model, comprising:

[0056] Collect historical heat resistance performance data;

[0057] Clean, organize and normalize the collected data;

[0058] Select a machine learning model as the basis for the heat resistance performance analysis model; the machine learning model includes decision trees, random forests, support vector machines and neural networks;

[0059] Use the preprocessed data to train the model;

[0060] Use the cross-validation method to evaluate the model and test its generalization ability and stability;

[0061] According to the results of cross-validation, optimize and adjust the model;

[0062] Deploy the trained and optimized model to the corresponding computing platform.

[0063] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor and a computer program stored in the memory and executable on the processor, the transceiver, the memory and the processor being connected through the bus, and the computer program being executed by the processor to implement the steps in any of the above methods.

[0064] In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps in any of the above methods.

[0065] Compared with the prior art, the present application has the following advantages: since the solar system is often used in harsh environmental conditions, the cable is made of special materials, which can effectively resist ultraviolet rays, ozone, severe temperature changes and chemical corrosion, thereby avoiding the problems of fragile cable sheath and decomposition of the insulation layer;

[0066] Using the special photovoltaic cable can reduce the risk of cable system damage, reduce the possibility of cable short circuit, and thus reduce the risk of fire or personal injury;

[0067] During installation and maintenance, the cable will be subjected to various mechanical stresses, and the photovoltaic cable enhances the durability and damage resistance of the cable by using a tinned copper conductor and a cross-linked polyethylene insulation material, thereby prolonging the service life of the cable;

[0068] The three groups of conductors are each wrapped with an insulating sleeve and twisted with each other, and this design not only improves the electrical performance of the cable, but also increases the overall strength and stability of the cable; the twisted structure helps to disperse mechanical stress and electromagnetic interference, and improves the reliability and durability of the cable;

[0069] In summary, the photovoltaic cable for photovoltaic system control increases the heat resistance of the photovoltaic cable in high temperature environments, improves the anti-ultraviolet and corrosion resistance of the photovoltaic cable through special design and material selection, and meets the low smoke and halogen-free requirements under the current environmental protection requirements. BRIEF DESCRIPTION OF DRAWINGS

[0070] Figure 1 is a structural schematic diagram of the present application;

[0071] Figure 2 is a flowchart of a heat resistance detection method of the photovoltaic cable for photovoltaic system control;

[0072] In the drawings, the marks are: 1, conductor; 2, insulating sleeve; 3, outer sheath. DETAILED DESCRIPTION

[0073] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, device, electronic device and computer readable storage medium. Therefore, the present application can be specifically implemented as follows: complete hardware, complete software (including firmware, resident software, microcode, etc.), hardware and software combined form. In addition, in some embodiments, the present application can also be implemented as a computer program product in one or more computer readable storage media, which contains computer program code.

[0074] The computer readable storage medium described above can adopt any combination of one or more computer readable storage media. The computer readable storage medium includes: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination thereof. More specific examples of computer readable storage medium include: portable computer diskette, hard disk, random access memory, read-only memory, erasable programmable read-only memory, flash memory, optical fiber, compact disk read-only memory, optical storage device, magnetic storage device or any combination thereof. In this application, the computer readable storage medium can be any tangible medium containing or storing programs, which can be used or combined with instruction execution system, device, instrument.

[0075] The acquisition, storage, use, processing and other data in the technical solution of the present application comply with the relevant provisions of national laws.

[0076] The present application provides a method, device and electronic equipment by flow chart and / or block diagram.

[0077] It should be understood that each block of the flowchart and / or block diagram, as well as combinations of blocks in the flowchart and / or block diagram, can be implemented by computer readable program instructions. These computer readable program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, so as to produce a machine, which executes the functions / operations specified in the blocks of the flowchart and / or block diagram by the computer or other programmable data processing apparatus.

[0078] These computer readable program instructions can also be stored in a computer readable storage medium, which can make the computer or other programmable data processing apparatus work in a specific way. Thus, the instructions stored in the computer readable storage medium produce an instruction device product, which includes the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0079] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process that implements the functions / operations specified by the blocks in the flowchart and / or block diagram.

[0080] The present application is described below in conjunction with the accompanying drawings.

[0081] Example 1: Figure 1 As shown, a photovoltaic cable for controlling a photovoltaic system of the present invention specifically comprises:

[0082] Conductor 1, insulating sleeve 2 and outer sheath 3, the conductor 1 is provided with three groups, each group of the conductor 1 is wrapped with a group of insulating sleeve 2, the three groups of conductors 1 wrapped with insulating sleeve 2 are twisted with each other, and the outer side of the three groups of insulating sleeves 2 is wrapped with an outer sheath 3; the conductor 1 is made of tinned copper conductor material, and the insulating sleeve 2 and outer sheath 3 are both made of cross-linked polyethylene insulation material.

[0083] Because solar energy systems are often used in harsh environmental conditions, the cable is made of specific materials that can effectively resist ultraviolet rays, ozone, drastic temperature changes, and chemical corrosion, thus avoiding the problems of fragile cable sheaths and decomposition of insulation layers;

[0084] Using dedicated photovoltaic cables can reduce the risk of cable system damage and the possibility of cable short circuits, thereby reducing the risk of fire or personal injury;

[0085] During installation and maintenance, cables are subjected to various mechanical stresses. This photovoltaic cable uses tinned copper conductors and cross-linked polyethylene insulation to enhance the durability and damage resistance of the cable, thereby extending the service life of the cable.

[0086] The three sets of conductors are all wrapped in an insulating sleeve and twisted together. This design not only improves the electrical performance of the cable, but also increases its overall strength and stability. The twisted structure helps to disperse mechanical stress and electromagnetic interference, improving the reliability and durability of the cable.

[0087] In summary, photovoltaic cables used for photovoltaic system control have increased their heat resistance in high temperature environments, improved their UV resistance and corrosion resistance through special design and material selection, and met the low smoke and halogen-free requirements under current environmental protection requirements.

[0088] Example 2: Figure 2 As shown, a heat resistance detection method for a photovoltaic cable used for photovoltaic system control of the present invention specifically includes the following steps:

[0089] S1, obtaining parameter information of a photovoltaic cable to be detected;

[0090] The parameter information of the photovoltaic cable includes:

[0091] Cable basic specifications: obtaining basic specification information of the photovoltaic cable, including the model of the cable, the cross-sectional area of the conductor, the type of the insulating material, the type of the sheath material, and the total length of the cable; these information helps to understand the basic structure and performance characteristics of the cable, and provides basic data for subsequent detection projects;

[0092] Physical properties: recording the basic physical properties of the cable, including the outer diameter, the cross-sectional area of the conductor, the thickness of the insulating layer, and the thickness of the sheath; these parameters directly affect the mechanical strength and electrical performance of the cable;

[0093] Material composition: identifying the specific materials used in the cable conductor, insulating layer, shielding layer, and sheath; the selection of materials has important influence on the weather resistance and long-term reliability of the cable;

[0094] Rated voltage and current: determining the working voltage level and the maximum allowable current value that the cable is designed for; used to limit the test conditions;

[0095] Operating temperature range: understanding the ability of the cable to work normally under extreme temperatures, used to limit the temperature level of high temperature aging test;

[0096] Special functional requirements: photovoltaic cables have specific functional characteristics, including flame retardancy, ultraviolet resistance, oil resistance, waterproofness, etc., which also need to be considered as one of the factors;

[0097] By comprehensively obtaining the parameter information of the photovoltaic cable to be detected, detailed and accurate basic data is provided for subsequent detection projects; these basic data cover the basic specifications, physical properties, material composition, rated voltage and current, operating temperature range, and special functional requirements of the cable, providing strong support for subsequent in-depth analysis and detection.

[0098] S2, formulating a cable detection project according to the parameter information of the photovoltaic cable to be detected, the cable detection project including heat aging test, high temperature tensile test, high temperature cycle test, and insulation resistance test;

[0099] Heat aging test: used to evaluate the stability of the cable material under long-term high temperature conditions;

[0100] Place the cable sample in a constant temperature oven at a certain temperature for a period of time, then take it out and cool it down for appearance inspection, mechanical performance test, and electrical performance test;

[0101] High Temperature Tensile Test: To examine the cable's ability to resist stretching under high temperature conditions; apply a certain tension to the cable in a specific high temperature environment and record its stretching behavior;

[0102] High Temperature Cycle Test: To simulate the temperature fluctuations that may occur in actual use, test the cable's durability under temperature changes; the cable sample needs to go through a series of preset temperature cycles, each cycle includes heating to high temperature and holding for a period of time, then cooling to room temperature or lower, and so on for several times;

[0103] Insulation Resistance Test: To measure the insulation performance of the cable insulation material under high temperature conditions, to ensure that there is no safety hazard caused by leakage current; in a high temperature environment, apply a direct current voltage to both ends of the cable, measure the leakage current through the cable insulation layer, and calculate the insulation resistance value;

[0104] When formulating detection items, the actual working environment and use requirements of photovoltaic cables should be fully considered; for cables installed on the sharp edges of roof structures, special attention should be paid to their mechanical strength and wear resistance; for cables that need to withstand large current and voltage, corresponding electrical performance test items should be added;

[0105] In summary, the formulation of cable detection items in S2 is an important part of the entire heat resistance detection method, which needs to formulate comprehensive and accurate detection items according to the parameter information and actual working environment requirements of the photovoltaic cable to be detected, to ensure that the heat resistance performance of the cable meets the use requirements.

[0106] S3, intercept multiple groups of samples, classify and mark each group of samples according to the cable detection items, and integrate the marks of each group of samples to obtain a test sample set;

[0107] The method for obtaining the test sample set comprises:

[0108] Randomly select a sufficient number of samples from the photovoltaic cable to be detected; sampling should ensure that the quality level of the entire batch is represented, and it is usually recommended to determine the minimum sample size according to statistical principles; ensure that the selected samples have no obvious physical damage or other defects to avoid affecting the test results;

[0109] According to the different detection item requirements, cut each extracted cable sample into small sections of appropriate length; the specific requirements of each test item may be different, so carefully read the relevant standards or guidance documents to determine the appropriate sample size;

[0110] Clearly and durably mark each sample segment for easy identification and tracking; the marking content includes sample number, source batch number, and corresponding detection item;

[0111] All labeled samples are sorted according to the detection items they belong to; all samples for heat aging test are grouped into one set, all samples for high temperature tensile test are grouped into another set, etc.

[0112] The sorted samples are packaged to ensure they are not damaged during transportation;

[0113] Confirm that all samples are ready and correctly assigned to the corresponding detection items, forming the final test sample set;

[0114] Through the S3 step, a representative and accurate test sample set is obtained, providing a solid foundation for subsequent heat resistance detection; it helps to accurately evaluate the heat resistance performance of photovoltaic cables and ensure their reliability and safety in harsh environments.

[0115] S4, according to the cable detection items, the labeled samples in the test sample set are classified and detected to obtain a heat resistance data set;

[0116] The method of heat aging test comprises:

[0117] Select samples labeled for heat aging test from the test sample set; check the integrity of the samples to ensure there are no damages or defects;

[0118] According to the actual working environment and expected service life of photovoltaic cables, set the temperature of the aging oven; set appropriate humidity conditions;

[0119] Fix the sample in the aging oven to ensure it does not move during testing;

[0120] Start the aging oven and begin heating to maintain the set temperature and humidity conditions;

[0121] Record the time when the test starts and set the test duration;

[0122] During and after the test, collect data on changes in sample performance; record all observed changes and measurements for subsequent analysis and evaluation;

[0123] According to the collected data, evaluate the performance changes of the samples in the aging test;

[0124] The method of high temperature tensile test comprises:

[0125] Select samples labeled for high temperature tensile test from the test sample set; check the surface of the sample to ensure it is smooth, undamaged or defect-free, and ensure the integrity of the sample;

[0126] According to the actual working environment and expected service life of photovoltaic cables, set the temperature of the high temperature environment oven;

[0127] One end of the sample is fixed on the fixture inside the high-temperature environmental chamber, ensuring that the sample does not move or fall off during the test; the other end is connected to the fixture of the tensile testing machine, ensuring that the tensile testing machine can accurately measure the force and elongation of the sample during stretching;

[0128] Adjust the position and angle of the fixture to ensure that the sample is in the correct stress state during stretching;

[0129] Start the high-temperature environmental chamber and the tensile testing machine, start heating and maintain the set temperature;

[0130] When the temperature reaches the set value and stabilizes, start the tensile test;

[0131] During the stretching process, record the force and elongation curve of the sample, as well as the force and elongation when the sample breaks;

[0132] After the test is completed, collect data on the tensile properties of the sample;

[0133] Based on the collected data, evaluate the tensile properties of the sample under high-temperature conditions;

[0134] The method of the high-temperature cycle test includes:

[0135] Select samples marked for high-temperature cycle testing from the test sample set; check the integrity of the sample to ensure that there are no damages and defects;

[0136] According to the actual working environment and expected service life of the photovoltaic cable, set the temperature range of the high-temperature cycle test chamber;

[0137] Set the number of cycles and the duration of high temperature in each cycle of the high-temperature cycle test chamber;

[0138] Fix the sample inside the high-temperature cycle test chamber, ensuring that it does not move or deform during the test;

[0139] Start the high-temperature cycle test chamber, start heating and maintain the set temperature range;

[0140] In each cycle, when the temperature reaches the set high-temperature value, start timing and maintain the set duration;

[0141] After the high-temperature duration ends, let the test chamber cool to room temperature, then start the next cycle; repeat the cycle until the set number of cycles is reached;

[0142] During the test, periodically check the appearance and performance changes of the sample, record all observed changes and measurements for subsequent analysis and evaluation;

[0143] Based on the collected data, evaluate the performance stability of the sample in the high-temperature cycle test;

[0144] The method of insulation resistance test, comprising:

[0145] Selecting samples labeled for insulation resistance test from the set of test samples; checking the integrity of the samples to ensure there are no damages and defects;

[0146] Setting the test voltage of the insulation resistance tester according to the specifications and test standards of the photovoltaic cable;

[0147] Setting the test time to ensure there is enough time to stabilize the measurement results during the test process;

[0148] Using test electrodes and connecting wires to correctly connect the two ends of the sample to the insulation resistance tester;

[0149] Starting the insulation resistance tester to start applying the set test voltage;

[0150] When the test time reaches the set value, record the final insulation resistance value displayed by the insulation resistance tester;

[0151] If the test standard specifies insulation resistance value requirements at multiple test voltages, repeat the above test steps at different test voltages and record the insulation resistance value at each voltage;

[0152] Compare the recorded insulation resistance value with the threshold value specified in the test standard; if the insulation resistance value is higher than the threshold value, it indicates that the cable's insulation performance is good; if it is lower than the threshold value, it indicates that the cable's insulation performance is not qualified, there may be a risk of electrical leakage or short circuit;

[0153] Through the S4 step, a comprehensive and accurate heat resistance detection data set can be obtained, providing a solid foundation for subsequent heat resistance performance analysis and evaluation; it helps to accurately evaluate the heat resistance performance of photovoltaic cables and ensure their reliability and safety in harsh environments.

[0154] S5, input the heat resistance detection data set into the pre-constructed heat resistance performance analysis model to obtain the heat resistance performance index;

[0155] The method of constructing the heat resistance performance analysis model, comprising:

[0156] Collect a large amount of heat resistance performance data from past photovoltaic cable heat resistance tests, actual use environment data and industry standards;

[0157] Clean, organize and normalize the collected data to ensure data consistency and accuracy; including removing duplicate data, handling missing values, and standardizing data formats;

[0158] Selecting a machine learning model as the basis for the heat resistance performance analysis model; the machine learning model includes decision tree, random forest, support vector machine and neural network;

[0159] Using pre-processed data to train the model; during the training process, by adjusting the parameters and structure of the model, the model can accurately predict the heat resistance performance of the photovoltaic cable;

[0160] Using cross-validation method to evaluate the model to test the generalization ability and stability of the model; by dividing the data set several times and training and testing respectively, the performance of the model on different data sets can be obtained;

[0161] According to the results of cross-validation, the model is optimized and adjusted;

[0162] Deploy the trained and optimized model to the corresponding computing platform;

[0163] Through the S5 step, the heat resistance performance analysis model can effectively extract useful information from a large amount of test data and generate a heat resistance performance index that is intuitive and comparable; it helps to quickly judge the quality of the cable and provides a scientific basis for subsequent qualification or non-qualification determination.

[0164] S6, compare the heat resistance performance index with the preset heat resistance performance threshold value; if the heat resistance performance index exceeds the preset heat resistance performance threshold value, it means that the batch of photovoltaic cable is qualified; if the heat resistance performance index does not exceed the preset heat resistance performance threshold value, it means that the batch of cable is unqualified;

[0165] The factors affecting the setting of the preset heat resistance performance threshold value include:

[0166] Insulating layer and sheath material: different materials have different resistance to high temperature, therefore, the insulating layer and sheath material of the cable are key factors affecting the setting of the heat resistance performance threshold value;

[0167] Conductor material: the electrical conductivity and heat resistance of the conductor material also affect the overall heat resistance performance of the cable; pure copper conductor has high electrical conductivity and good heat resistance, which can reduce the operating temperature rise and improve the current-carrying capacity and heat resistance of the cable;

[0168] Cable specification: the cross-sectional area, outer diameter and other size specifications of the cable will affect its heat dissipation performance and heat resistance; larger cross-sectional area of the cable usually has better heat dissipation performance, which can reduce the operating temperature of the cable and thus improve the heat resistance;

[0169] Cable structure design: reasonable structure design can enhance the mechanical properties and heat resistance of the cable;

[0170] Working temperature range: Photovoltaic systems are usually installed in outdoor environments and need to withstand high temperatures, low temperatures, and other harsh weather conditions. Therefore, the setting of the heat resistance performance threshold needs to consider the heat resistance of the cable in the working temperature range;

[0171] Working environmental conditions: Ultraviolet light and ozone in outdoor environments have an aging effect on cable materials. Therefore, the setting of the heat resistance performance threshold also needs to consider the change in heat resistance of the cable under long-term ultraviolet light and ozone exposure;

[0172] Cable service life: Photovoltaic cables have a long service life and need to withstand long-term harsh environmental tests. Therefore, the setting of the heat resistance performance threshold needs to consider the stability and reliability of the heat resistance of the cable in long-term operation;

[0173] Cable reliability requirements: Photovoltaic systems, as the core component of solar energy utilization, their stability and reliability directly affect the efficiency and cost of solar power generation. Therefore, the setting of the heat resistance performance threshold needs to meet the high reliability requirements of photovoltaic systems for cables;

[0174] Through the S6 step, the quality of the photovoltaic cable can be effectively controlled to ensure that it can still maintain good performance under high temperature and other harsh environmental conditions, thereby ensuring the stable operation and long service life of the entire photovoltaic system. In addition, this method also helps to continuously improve product quality and enhance the brand credibility of manufacturers.

[0175] The above is only the preferred embodiment of the present application. It should be noted that for those skilled in the art, without departing from the technical principles of the present application, several improvements and modifications can be made. These improvements and modifications should also be considered within the scope of protection of the present application.

Claims

1. A method for detecting heat resistance of photovoltaic cables used for photovoltaic system control, characterized in that: The method comprises: Obtain parameter information of the photovoltaic cable to be tested; Formulate cable testing items based on parameter information of the photovoltaic cable to be tested, including thermal aging test, high temperature tensile test, high temperature cycle test and insulation resistance test; Intercept multiple groups of samples, classify and label each group of samples according to the cable detection items, and integrate the labels of each group of samples to obtain a test sample set; According to the cable detection items, the labeled samples in the test sample set are classified and tested to obtain the heat resistance detection data set; Input the heat resistance test data set into the pre-built heat resistance performance analysis model to obtain the heat resistance performance index; The heat resistance performance index is compared with the preset heat resistance performance threshold. If the heat resistance performance index exceeds the preset heat resistance performance threshold, it means that this batch of photovoltaic cables is qualified. If the heat resistance performance index does not exceed the preset heat resistance performance threshold, it means that this batch of cables is unqualified.

2. A method for detecting heat resistance of a photovoltaic cable for photovoltaic system control according to claim 1, characterized in that: The method for obtaining the test sample set includes: Randomly select a sufficient number of samples from the batch of photovoltaic cables to be tested; According to the requirements of different testing items, each cable sample is cut into small sections of appropriate length; Each sample is clearly and permanently labeled with the sample number, source batch number, and corresponding test item; Classify all labeled samples according to the test items they belong to; Package the sorted samples to prevent damage during transportation; All samples are correctly assigned to the corresponding test items to form a test sample set.

3. The heat resistance detection method for photovoltaic cables used for photovoltaic system control according to claim 1, characterized in that: The method of the thermal aging test comprises: Selecting a sample marked for heat aging test from the test sample set; Set the temperature of the aging box according to the actual working environment and expected life of the photovoltaic cable; The sample is fixedly installed in the aging box; Start the aging box, start heating and maintain the set temperature and humidity conditions; Record the time the test starts and set the test duration; Collect data on changes in sample performance during and after testing; Based on the collected data, the performance changes of the samples during the aging test are evaluated.

4. A method for detecting heat resistance of a photovoltaic cable for photovoltaic system control according to claim 1, characterized in that: The high temperature tensile test method comprises: Select a sample marked as a high temperature tensile test from the test sample set; Set the temperature of the high-temperature environmental box according to the actual working environment and expected life of the photovoltaic cable; Fix one end of the specimen to the fixture in the high-temperature environmental chamber and connect the other end to the fixture of the tensile testing machine; Adjust the position and angle of the fixture so that the sample is in the correct stress state during the stretching process; Start the high temperature environmental chamber and tensile testing machine, start heating and maintain the set temperature; When the temperature reaches the set value and stabilizes, the tensile test begins; During the stretching process, record the force and elongation curve of the sample, as well as the force and elongation when the sample breaks; At the end of the test, data on the tensile properties of the specimens were collected; Based on the collected data, the tensile properties of the samples under elevated temperature conditions were evaluated.

5. The heat resistance detection method for photovoltaic cables used for photovoltaic system control according to claim 1, characterized in that: The high temperature cycle test method comprises: Selecting a sample marked as a high temperature cycle test from the test sample set; Set the temperature range of the high-temperature cycle test chamber according to the actual working environment and expected life of the photovoltaic cable; Set the number of cycles in the high temperature cycle test chamber and the high temperature duration in each cycle; The sample is fixedly installed in a high temperature cycle test chamber; Start the high temperature cycle test chamber, start heating and maintain the set temperature range; In each cycle, when the temperature reaches the set high temperature value, the timing starts and is maintained for the set duration; After the high temperature duration ends, let the test chamber cool to room temperature and then start the next cycle; repeat the cycle process until the set number of cycles is reached; During the test, regularly inspect the specimens for changes in appearance and performance, and record all observed changes and measurements; Based on the collected data, the performance stability of the samples during high temperature cycle tests was evaluated.

6. The heat resistance detection method for photovoltaic cables used for photovoltaic system control according to claim 1, characterized in that: The insulation resistance testing method comprises: Select a sample marked for insulation resistance test from the test sample set; Set the test voltage of the insulation resistance tester according to the specifications and test standards of the photovoltaic cable; Set the test time to ensure that there is enough time for the measurement results to stabilize during the test; Use test electrodes and connecting wires to connect both ends of the sample to the insulation resistance tester; Start the insulation resistance tester and begin applying the set test voltage; when the test time reaches the set value, record the final insulation resistance value displayed by the insulation resistance tester.

7. The heat resistance detection method for photovoltaic cables used for photovoltaic system control according to claim 1, characterized in that: The method for constructing the heat resistance performance analysis model comprises: Collect historical heat performance data; Clean, organize and normalize the collected data; Selecting a machine learning model as the basis of the heat resistance performance analysis model; the machine learning model includes a decision tree, a random forest, a support vector machine, and a neural network; Use the preprocessed data to train the model; The model is evaluated using the cross-validation method to test the generalization ability and stability of the model; Optimize and adjust the model based on the results of cross-validation; Deploy the trained and optimized model to the corresponding computing platform.

8. An electronic device for detecting heat resistance of photovoltaic cables used for photovoltaic system control, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and characterized in that: When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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