Wearable temperature control equipment detection method, terminal equipment and storage medium

Abstract

The invention discloses a wearable temperature control equipment detection method, terminal equipment and a storage medium. The method comprises the following steps: carrying out temperature control performance detection on wearable temperature control equipment; if the temperature control performance detection is not qualified, determining that the wearable temperature control equipment is not qualified; otherwise, continuously detecting the working stability performance; if the working stability is detected to be qualified, determining that the wearable temperature control equipment is qualified; otherwise, judging whether the instability level of the wearable temperature control equipment is serious instability or not; if the instability level is serious instability, determining that the wearable temperature control equipment is unqualified; otherwise, continuing the battery performance detection; if the battery performance detection is not qualified, determining that the wearable temperature control equipment is not qualified; otherwise, determining that the wearable temperature control equipment is qualified. According to the wearable temperature control equipment detection method, the temperature control performance, the working stability performance and the battery performance are comprehensively considered, and the accuracy of the detection result is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wearable device detection, and in particular to a wearable temperature control equipment detection method, terminal device and storage medium. Background Art

[0002] The temperature control suit is mainly composed of a textile body and cooling and temperature regulating functional components. Among them, the refrigeration system, control switch, and power supply system are designed as independent components. Combining the research results of human thermal perception and the principles of ergonomic design, the semi-flexible thermoelectric device system and other hardware systems are designed to be distributed around the human body to meet the comfort and portability of human wearing.

[0003] Wearable equipment for aerial work has disadvantages such as being large and inconvenient. Many detection methods may only focus on temperature control without comprehensively considering multiple factors such as the working status of the equipment and battery performance. There may be misjudgments or omissions, affecting the accuracy of the detection results. Summary of the invention

[0004] The present invention provides a wearable temperature control equipment detection method, a terminal device and a storage medium to solve the technical problem that the prior art only focuses on the temperature control performance of the wearable device, resulting in inaccurate detection results.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a wearable temperature control equipment detection method, including:

[0006] Obtain temperature control performance data, temperature control performance reference data and temperature control performance allowable deviation data of wearable temperature control equipment;

[0007] Performing a temperature control performance test on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data;

[0008] If the temperature control performance test fails, the wearable temperature control equipment is determined to be unqualified;

[0009] If the temperature control performance test is qualified, the working stability performance data, working stability performance reference data and working stability performance allowable deviation data of the wearable temperature control equipment are obtained;

[0010] Performing a working stability performance test on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data;

[0011] If the working stability performance test is qualified, it is determined that the wearable temperature control equipment is qualified;

[0012] If the working stability performance test fails, judging whether the instability level of the wearable temperature control equipment is severe instability according to the working stability performance test result;

[0013] If the instability level is severe instability, the wearable temperature control equipment is determined to be unqualified;

[0014] If the instability level is not severe instability, obtaining battery performance data and battery performance reference data of the wearable temperature control equipment;

[0015] Performing battery performance testing on the wearable temperature control equipment according to the battery performance data and the battery performance reference data;

[0016] If the battery performance test fails, the wearable temperature control device is determined to be unqualified;

[0017] If the battery performance test is qualified, it is determined that the wearable temperature control equipment is qualified.

[0018] As a preferred solution, the temperature control performance data includes: temperature adjustment rate, temperature deviation after temperature adjustment and temperature adjustment time of a specified temperature;

[0019] The temperature control performance reference data includes: a reference temperature adjustment rate, a reference temperature deviation after the temperature adjustment is completed, and a reference temperature adjustment time of a specified temperature;

[0020] The temperature control performance allowable deviation data includes: the temperature control rate allowable deviation value and the temperature control time allowable deviation value;

[0021] The performing temperature control performance detection on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data includes:

[0022] Calculating a temperature control performance evaluation value according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data;

[0023] If the temperature control performance evaluation value is less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment fails;

[0024] If the temperature control performance evaluation value is not less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment is qualified;

[0025] Wherein, the calculation formula of the temperature control performance evaluation value is:

[0026]

[0027] In the formula, A represents the temperature control performance evaluation value; Ws1 represents the temperature adjustment rate; Wc1 represents the temperature deviation after the temperature adjustment is completed; Tw1 represents the temperature adjustment time of the specified temperature; Ws0 represents the reference temperature adjustment rate; Wc0 represents the reference temperature deviation after the temperature adjustment is completed; Tw0 represents the reference temperature adjustment time of the specified temperature; ΔWs represents the allowable deviation value of the temperature adjustment rate; ΔTw represents the allowable deviation value of the temperature adjustment time.

[0028] As a preferred solution, obtain the allowable deviation data of temperature control performance, including:

[0029] Get the detected temperature and humidity;

[0030] According to the detected temperature and the detected humidity, a number of corresponding matching temperature control performance detection conditions are obtained from a preset detection condition database; wherein the matching temperature control performance detection conditions include: matching temperature and matching humidity;

[0031] For each matching temperature control performance detection condition, calculating the temperature control performance deviation comparison coefficient of the matching temperature control performance detection condition according to the detection temperature, detection humidity, matching temperature and matching humidity;

[0032] Acquire data corresponding to the matching temperature control performance detection condition with the smallest temperature control performance deviation comparison coefficient from a preset temperature control performance allowable deviation database as the temperature control performance allowable deviation data;

[0033] Among them, the calculation formula of the temperature control performance deviation comparison coefficient is:

[0034]

[0035] Wherein, B represents the temperature control performance deviation comparison coefficient; Wd1 represents the detection temperature; Sd1 represents the detection humidity; Wd0 represents the matching temperature; Sd0 represents the matching humidity; and e is a natural constant.

[0036] As a preferred solution, the working stability performance data includes: the actual temperature after the temperature adjustment is completed, the battery output voltage during the temperature adjustment, and the heat preservation time;

[0037] The working stability performance reference data includes: a reference actual temperature after the temperature adjustment is completed, a reference battery output voltage during the temperature adjustment, and a reference heat preservation time;

[0038] The working stability performance allowable deviation data includes: a temperature allowable deviation value and a battery output voltage allowable deviation value;

[0039] The performing working stability performance detection on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data includes:

[0040] Calculating a working stability performance evaluation value according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data;

[0041] If the working stability performance evaluation value is greater than a preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment fails;

[0042] If the working stability performance evaluation value is not greater than the preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment is qualified;

[0043] The calculation formula of the working stability performance evaluation value is:

[0044]

[0045] In the formula, C represents the working stability performance evaluation value; Sw1 represents the actual temperature after the temperature adjustment is completed; Dy1 represents the battery output voltage during the temperature adjustment; Sc1 represents the insulation time; Sw0 represents the reference actual temperature after the temperature adjustment is completed; Dy0 represents the reference battery output voltage during the temperature adjustment; Sc0 represents the reference insulation time; ΔSw represents the allowable temperature deviation value; ΔDy represents the allowable battery output voltage deviation value.

[0046] As a preferred solution, judging whether the instability level of the wearable temperature control equipment is severe instability according to the working stability performance test result includes:

[0047] Determine whether the working stability performance evaluation value is greater than a preset working stability performance maximum threshold. If so, determine that the instability level of the wearable temperature control equipment is severely unstable; otherwise, determine that the instability level of the wearable temperature control equipment is not severely unstable.

[0048] As a preferred solution, obtain the allowable deviation data of working stability performance, including:

[0049] Get the detected wind speed and sunshine intensity;

[0050] According to the detected wind speed and the detected sunshine intensity, a number of corresponding matching working stability performance detection conditions are obtained from a preset detection condition database; wherein the matching working stability performance detection conditions include: matching wind speed and matching sunshine intensity;

[0051] For each matching working stability performance detection condition, calculating the working stability performance deviation comparison coefficient of the matching working stability performance detection condition according to the detected wind speed, the detected sunshine intensity, the matching wind speed and the matching sunshine intensity;

[0052] From a preset working stability performance deviation database, data corresponding to a matching working stability performance detection condition with a minimum working stability performance deviation comparison coefficient is obtained as working stability performance allowable deviation data;

[0053] Among them, the calculation formula of the working stability performance deviation comparison coefficient is:

[0054]

[0055] Wherein, D represents the working stability performance deviation comparison coefficient; Fs1 represents the detected wind speed; Rz1 represents the detected sunshine intensity; Fs0 represents the matching wind speed; Rz0 represents the matching sunshine intensity; and e is a natural constant.

[0056] As a preferred solution, the battery performance data includes: discharge current standard deviation, battery temperature during discharge and discharge capacity per unit time;

[0057] The battery performance reference data includes: a reference standard deviation of discharge current, a reference battery temperature during discharge, and a reference discharge amount per unit time;

[0058] The performing battery performance detection on the wearable temperature control equipment according to the battery performance data and the battery performance reference data includes:

[0059] Calculating a battery performance evaluation value based on the battery performance data and the battery performance reference data;

[0060] If the battery performance evaluation value is greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment is qualified;

[0061] If the battery performance evaluation value is not greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment fails;

[0062] Wherein, the calculation formula of the battery performance evaluation value is:

[0063]

[0064] Wherein, E represents the battery performance evaluation value; DB1 represents the discharge current standard deviation; FW1 represents the battery temperature during discharge; DL1 represents the discharge amount per unit time; DB0 represents the discharge current reference standard deviation; FW0 represents the reference battery temperature during discharge; DL0 represents the reference discharge amount per unit time.

[0065] As a preferred solution, before determining that the wearable temperature control equipment is qualified, it also includes:

[0066] Acquire an appearance image of the wearable temperature control equipment;

[0067] Using a feature point detection algorithm, extract key feature points from the appearance image; wherein the key feature points include: edge feature points, hole feature points, texture feature points, sensor feature points and battery interface feature points;

[0068] Generating an actual model of the wearable temperature control equipment according to the key feature points;

[0069] Comparing the actual model with a preset reference model of the wearable temperature control equipment, and determining a matching feature point corresponding to each key feature point of the actual model in the reference model;

[0070] For each key feature point, calculate the Euclidean distance between the key feature point and the corresponding matching feature point, and determine whether the Euclidean distance is greater than a distance threshold preset for the key feature point;

[0071] Count the number of key feature points whose Euclidean distance is greater than the distance threshold as the number of abnormal feature points;

[0072] If the number of abnormal feature points is greater than a preset number threshold, subsequent operations are stopped and the wearable temperature control equipment is determined to be qualified;

[0073] If the number of abnormal feature points is not greater than the preset number threshold, then continue to perform subsequent operations.

[0074] Based on the above embodiments, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the wearable temperature control equipment detection method described in the above invention embodiment is implemented.

[0075] Based on the above embodiments, another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wearable temperature control equipment detection method described in the above invention embodiment.

[0076] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0077] The present invention first performs a temperature control performance test on the wearable temperature control equipment; if the temperature control performance test fails, it is determined that the wearable temperature control equipment fails; if the temperature control performance test passes, the wearable temperature control equipment continues to be tested for working stability performance; if the working stability performance test passes, it is determined that the wearable temperature control equipment passes; if the working stability performance test fails, it is determined that the wearable temperature control equipment passes; if the working stability performance test fails, it is determined whether the instability level of the wearable temperature control equipment is severely unstable according to the working stability performance test result; if the instability level is severely unstable, it is determined that the wearable temperature control equipment fails; if the instability level is not severely unstable, the wearable temperature control equipment continues to be tested for battery performance; if the battery performance test fails, it is determined that the wearable temperature control equipment fails; if the battery performance test passes, it is determined that the wearable temperature control equipment passes. The present invention not only performs temperature control performance tests on the wearable temperature control equipment, but also performs working stability performance tests and battery performance tests, comprehensively considering the temperature control performance, working stability performance and battery performance of the equipment, and improving the accuracy of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 It is a flow chart of a wearable temperature control equipment detection method provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] Embodiment 1

[0081] Please refer to Figure 1 , is a flow chart of a wearable temperature control equipment detection method provided by an embodiment of the present invention, including:

[0082] S1. Obtain temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data of the wearable temperature control equipment.

[0083] In a preferred embodiment, obtaining the temperature control performance allowable deviation data includes:

[0084] Get the detected temperature and humidity;

[0085] According to the detected temperature and the detected humidity, a number of corresponding matching temperature control performance detection conditions are obtained from a preset detection condition database; wherein the matching temperature control performance detection conditions include: matching temperature and matching humidity;

[0086] For each matching temperature control performance detection condition, calculating the temperature control performance deviation comparison coefficient of the matching temperature control performance detection condition according to the detection temperature, detection humidity, matching temperature and matching humidity;

[0087] Acquire data corresponding to the matching temperature control performance detection condition with the smallest temperature control performance deviation comparison coefficient from a preset temperature control performance allowable deviation database as the temperature control performance allowable deviation data;

[0088] Among them, the calculation formula of the temperature control performance deviation comparison coefficient is:

[0089]

[0090] Wherein, B represents the temperature control performance deviation comparison coefficient; Wd1 represents the detection temperature; Sd1 represents the detection humidity; Wd0 represents the matching temperature; Sd0 represents the matching humidity; and e is a natural constant.

[0091] It should be noted that the temperature control performance test of the wearable temperature control equipment is carried out under the set temperature control performance test conditions to determine whether the temperature control performance of the wearable temperature control equipment is qualified. The set temperature control performance test conditions include the test temperature and test humidity in a high-risk environment.

[0092] Obtain each matching temperature control performance detection condition preset in the detection condition, wherein the matching temperature control performance detection condition includes matching temperature and matching humidity; compare the set detection temperature and detection humidity with each matching temperature control performance detection condition one by one, and obtain the temperature control performance deviation comparison coefficient; obtain the minimum temperature control performance deviation comparison coefficient corresponding to the temperature control performance allowable deviation data stored in the temperature control performance allowable deviation database.

[0093] One-by-one comparison can accurately identify the adaptability of the set conditions to the performance of the equipment, ensuring that the equipment can accurately control the temperature in different environments. By comparing with the standard conditions in the database, the optimal operating parameters of the equipment in a specific environment can be found, which helps to optimize parameter control and thus enhance the reliability of the equipment. The matching temperature represents the actual temperature value close to the temperature in the set detection conditions, which is usually stored in the database and derived from past test data. The matching humidity represents the actual humidity value close to the humidity in the set detection conditions. The acquisition method is similar to that of the matching temperature, and is also obtained through historical experimental results or real-time monitoring data.

[0094] In a high temperature environment, the device needs to make more efforts to reach the set low temperature. Therefore, the temperature adjustment rate will slow down, the temperature difference will become smaller, the heat exchange efficiency of convection and conduction may be reduced, and the temperature adjustment may produce large fluctuations, resulting in an increase in the temperature deviation after the end, which is difficult to accurately control, and the temperature adjustment time is often longer. In a low temperature environment, the device can use the large temperature difference to speed up the heating or cooling process. Therefore, the temperature adjustment rate is usually faster, and it can be more accurately controlled to reach the set temperature. Usually, the temperature deviation after the end is smaller, and the temperature adjustment time is usually shorter, because the equipment is more efficient when dealing with a large temperature difference. In a high humidity environment, the high humidity environment will reduce the thermal conductivity and thermal convection efficiency of the air, resulting in a slower temperature adjustment rate, and the speed at which the equipment reaches the target temperature will slow down, causing the temperature control to become unstable, thereby increasing the temperature deviation after the temperature adjustment is completed, and the temperature adjustment time may be extended. In a low humidity environment, the temperature adjustment rate is often increased, and there is less moisture in the air, which helps to improve the heat exchange efficiency, helps to improve the stability of the regulation, reduces the temperature deviation after the temperature adjustment is completed, and the temperature adjustment time will be shortened.

[0095] By calculating the temperature and humidity deviations between the detection conditions and the matching conditions, and normalizing them by combining logarithms with operations, we can get the deviation coefficient B. Using logarithmic functions to process data can help reduce the impact of extreme deviations on the results and make the calculation more robust. The deviations of the two variables, temperature and humidity, are combined and matched with preset historical data to obtain the allowable deviation data of temperature control performance, so as to facilitate the subsequent calculation of the temperature control performance evaluation value, ensure the reliability of the temperature control performance evaluation value, and more comprehensively reflect the performance of temperature control.

[0096] In a specific embodiment, the detection conditions and matching detection conditions of a wearable temperature control equipment are as follows: Wd1 is 20°C, Sd1 is 30%, Wd0 is 21°C, Sd0 is 35%, and the temperature control performance deviation comparison coefficient is calculated to be 0.19. The temperature control performance deviation comparison coefficient corresponds to ΔWs of 2°C / min and ΔTw of 10min.

[0097] S2. Perform a temperature control performance test on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data.

[0098] In a preferred embodiment, the temperature control performance data includes: temperature adjustment rate, temperature deviation after temperature adjustment, and temperature adjustment time of a specified temperature;

[0099] The temperature control performance reference data includes: a reference temperature adjustment rate, a reference temperature deviation after the temperature adjustment is completed, and a reference temperature adjustment time of a specified temperature;

[0100] The temperature control performance allowable deviation data includes: the temperature control rate allowable deviation value and the temperature control time allowable deviation value;

[0101] The performing temperature control performance detection on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data includes:

[0102] Calculating a temperature control performance evaluation value according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data;

[0103] If the temperature control performance evaluation value is less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment fails;

[0104] If the temperature control performance evaluation value is not less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment is qualified;

[0105] Wherein, the calculation formula of the temperature control performance evaluation value is:

[0106]

[0107] In the formula, A represents the temperature control performance evaluation value; Ws1 represents the temperature adjustment rate; Wc1 represents the temperature deviation after the temperature adjustment is completed; Tw1 represents the temperature adjustment time of the specified temperature; Ws0 represents the reference temperature adjustment rate; Wc0 represents the reference temperature deviation after the temperature adjustment is completed; Tw0 represents the reference temperature adjustment time of the specified temperature; ΔWs represents the allowable deviation value of the temperature adjustment rate; ΔTw represents the allowable deviation value of the temperature adjustment time.

[0108] In this embodiment, the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data are comprehensively analyzed to obtain the temperature control performance evaluation value. The temperature control performance evaluation value is compared with the preset temperature control performance threshold; if the temperature control performance evaluation value is less than the temperature control performance threshold, the temperature control performance test of the wearable temperature control equipment fails; if the temperature control performance evaluation value is not less than the temperature control performance threshold, the temperature control performance test of the wearable temperature control equipment passes.

[0109] It should be noted that the temperature control rate is the speed of temperature change per unit time, usually expressed in ℃ / min. By monitoring temperature changes through temperature sensors and understanding the temperature control rate of the equipment, it can be ensured that the equipment has the ability to respond quickly and can meet the needs of operators in high-risk situations. The temperature deviation after the temperature control is completed is the absolute value of the difference between the actual temperature and the set target temperature after reaching the stabilization time. After the temperature control is completed, use a high-precision thermometer to record the target temperature and the actual temperature. Understanding the temperature deviation after the temperature control is completed can help determine the accuracy and reliability of the temperature control of the equipment. The temperature control time of a specified temperature is the time from the start of the temperature control to the first time the temperature reaches the set temperature within the allowable error range. By recording the time from the start of the temperature control to the time when the target temperature is reached, the efficiency of the temperature control can be known. The temperature control time within the qualified temperature control time range under this service life stage, the shorter the temperature control time, usually means efficient performance, indicating that the performance of the equipment is better.

[0110] Assume that the set temperature is 20℃, the allowable temperature error range is ±0.3℃, and the stabilization time is 5 minutes. The temperature adjustment time is the time from the start of temperature adjustment to the actual temperature first entering the range of 19.7℃ to 20.3℃. If it reaches 19.8℃ for the first time at 25 minutes, 25 minutes will be recorded as the temperature adjustment time. The temperature adjustment deviation is the difference between the actual temperature that finally stabilizes and 20℃ after reaching the set range and lasting for 5 minutes. For example, if the temperature is 18.5℃ after stabilizing for 5 minutes, the temperature adjustment deviation is 1.5℃.

[0111] In the environment to be tested, set the test temperature and test humidity in the high-risk environment to test whether the temperature control performance of the equipment is qualified and whether the equipment can be used in the currently set high-risk environment. If the temperature adjustment rate is too slow, the temperature deviation is large after the temperature adjustment is completed, and the temperature adjustment time of the specified temperature is long, resulting in a small temperature control performance evaluation value, it means that the temperature control performance of the wearable temperature control equipment is poor. Testing in high-risk environments can discover possible deficiencies in the equipment as early as possible, so that the equipment can be processed or its continued use time can be estimated, avoiding sudden damage to the equipment during subsequent operations by operators, affecting the personal safety of operators, and reducing potential safety risks.

[0112] The actual temperature control performance is compared with the reference performance, and the deviation is analyzed to judge the performance. By introducing the allowable deviation, the formula allows fluctuations within a certain range to prevent misjudgment of the equipment temperature control performance. The formula combines the three aspects of speed, temperature deviation and duration to provide a comprehensive performance evaluation value (v), which is convenient for quickly evaluating the temperature control ability of the temperature control system and identifying indicators that need to be improved (such as temperature control rate or temperature deviation after temperature control). If the temperature control performance evaluation value is significantly lower than the threshold, the temperature control rate analysis is performed. Through the detected temperature control rate, the historical data of the temperature control rate is reviewed to determine whether the temperature control rate is lower than expected and whether the temperature control rate is within the appropriate range. If not, the temperature control rate is improved. If so, the indicator to be improved is the temperature deviation after the temperature control is completed, thereby optimizing the control strategy. By comparing with the preset temperature control performance threshold, the evaluation result can be quickly fed back to understand whether the temperature control performance of the equipment is qualified.

[0113] In a specific embodiment, in the temperature control performance data, Ws1 is 5°C / min, Wc1 is 0.5°C, and Tw1 is 25min; in the temperature control performance reference data, Ws0 is 4°C / min, Wc0 is 0.3°C, and Tw0 is 30min; in the temperature control performance allowable deviation data, ΔWs is 2°C / min, and ΔTw is 10min; the calculated temperature control performance rating value is 0.61, and the temperature control performance threshold is 0.58. Since the temperature control performance rating value is greater than the temperature control performance threshold, the temperature control performance test of the wearable temperature control equipment corresponding to the temperature control performance rating value is qualified.

[0114] S3. If the temperature control performance test fails, it is determined that the wearable temperature control equipment is unqualified; if the temperature control performance test passes, the working stability performance data, working stability performance reference data and working stability performance allowable deviation data of the wearable temperature control equipment are obtained.

[0115] In step S3, if the temperature control performance test fails, the wearable temperature control equipment is considered to be unqualified, and the test of the wearable temperature control equipment is terminated. If the temperature control performance test passes, the working stability performance test is continued.

[0116] In a preferred embodiment, obtaining the working stability performance allowable deviation data includes:

[0117] Get the detected wind speed and sunshine intensity;

[0118] According to the detected wind speed and the detected sunshine intensity, a number of corresponding matching working stability performance detection conditions are obtained from a preset detection condition database; wherein the matching working stability performance detection conditions include: matching wind speed and matching sunshine intensity;

[0119] For each matching working stability performance detection condition, calculating the working stability performance deviation comparison coefficient of the matching working stability performance detection condition according to the detected wind speed, the detected sunshine intensity, the matching wind speed and the matching sunshine intensity;

[0120] From a preset working stability performance deviation database, data corresponding to a matching working stability performance detection condition with a minimum working stability performance deviation comparison coefficient is obtained as working stability performance allowable deviation data;

[0121] Among them, the calculation formula of the working stability performance deviation comparison coefficient is:

[0122]

[0123] Wherein, D represents the working stability performance deviation comparison coefficient; Fs1 represents the detected wind speed; Rz1 represents the detected sunshine intensity; Fs0 represents the matching wind speed; Rz0 represents the matching sunshine intensity; and e is a natural constant.

[0124] In this embodiment, the detected wind speed and detected sunlight intensity in the set detection environment are combined and recorded as the working stability influence data of the temperature control equipment; the working stability influence matching data of each temperature control equipment preset by the detection conditions are obtained, and the working stability influence matching data of the temperature control equipment includes matching wind speed and matching sunlight intensity; the working stability influence data of the temperature control equipment are compared with the working stability influence matching data of each temperature control equipment one by one to obtain the working stability performance deviation comparison coefficient; the minimum working stability performance deviation comparison coefficient is obtained, corresponding to the working stability performance allowable deviation data stored in the database.

[0125] It should be noted that the data affecting the working stability of the temperature control equipment are compared with the matching data one by one to obtain the working stability performance deviation comparison coefficient, which reflects the difference between the set value and the actual environmental conditions. By comparing the environmental factors (wind speed and sunshine intensity) with the actual data of the equipment performance, the specific impact of these factors on the equipment performance can be quantified, providing a basis for the subsequent calculation of the working stability performance evaluation value. Based on the deviation coefficient of the comparison results, the working stability of the equipment under different environmental conditions can be evaluated more scientifically, so as to make more reasonable judgments and adjustments. When the equipment performance is lower than expected, timely measures can be taken to prevent potential failures.

[0126] High wind speed may cause heat loss to accelerate, making it take the device longer to reach the set temperature, and may even cause the actual temperature to be lower than the set value. It will also shorten the insulation time. The device may not be able to maintain the set temperature for a long time, and the device may need to consume more energy to maintain the set temperature, causing the battery output voltage to drop, affecting the overall performance of the device. High sunlight intensity can increase the heat input of the device, which may accelerate the temperature adjustment process, causing the actual temperature to be higher than the set value, and causing the internal temperature of the device to rise. Excessive operating temperature of the battery affects the stability of its output voltage, which in turn affects the temperature adjustment ability of the device. Strong sunlight can increase the surface temperature of the device in a short period of time, thereby increasing the insulation time.

[0127] Using absolute values ​​to calculate the difference between the set wind speed and the matched wind speed, and between the set sunshine intensity and the matched sunshine intensity can effectively eliminate the influence of negative values ​​and ensure that the calculation results reflect the true degree of deviation. Using the exponential form of natural constants means that the greater the deviation, the exponential growth of D will be. Even a small deviation will have a significant impact on D, thus reflecting the stability of the equipment under these conditions.

[0128] In a specific embodiment, the temperature control equipment working stability impact data and the temperature control equipment working stability impact matching data have Fs1 of 4m / s and Rz1 of 700W / m 2 , Fs0 is 3m / s, Rz0 is 600W / m 2 The working stability performance deviation comparison coefficient is calculated to be 274.55. The corresponding ΔSw of the working stability performance deviation comparison coefficient is 1°C and ΔDy is 1.2V.

[0129] S4. Performing a working stability performance test on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data.

[0130] In a preferred embodiment, the working stability performance data includes: the actual temperature after the temperature adjustment is completed, the battery output voltage during the temperature adjustment, and the heat preservation time;

[0131] The working stability performance reference data includes: a reference actual temperature after the temperature adjustment is completed, a reference battery output voltage during the temperature adjustment, and a reference heat preservation time;

[0132] The working stability performance allowable deviation data includes: a temperature allowable deviation value and a battery output voltage allowable deviation value;

[0133] The performing working stability performance detection on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data includes:

[0134] Calculating a working stability performance evaluation value according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data;

[0135] If the working stability performance evaluation value is greater than a preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment fails;

[0136] If the working stability performance evaluation value is not greater than the preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment is qualified;

[0137] The calculation formula of the working stability performance evaluation value is:

[0138]

[0139] In the formula, C represents the working stability performance evaluation value; Sw1 represents the actual temperature after the temperature adjustment is completed; Dy1 represents the battery output voltage during the temperature adjustment; Sc1 represents the insulation time; Sw0 represents the reference actual temperature after the temperature adjustment is completed; Dy0 represents the reference battery output voltage during the temperature adjustment; Sc0 represents the reference insulation time; ΔSw represents the allowable temperature deviation value; ΔDy represents the allowable battery output voltage deviation value.

[0140] It should be noted that the actual temperature after the temperature adjustment indicates the actual temperature reached by the device after the temperature adjustment process is completed, reflecting the temperature adjustment effect and accuracy of the device. The temperature is monitored in real time through the built-in temperature sensor, and the data is usually automatically recorded and stored. The battery output voltage during temperature adjustment indicates the voltage output by the battery in real time during the temperature adjustment process, reflecting the working status of the battery and its ability to power the device, which is directly related to the working stability of the device. Continuously lower than the standard voltage may cause performance degradation or the device to malfunction. The voltage sensor in the battery management system can obtain the battery output voltage in real time and monitor the changes in the battery output voltage, which is helpful to detect battery problems in time and Carry out preventive maintenance to avoid equipment downtime and the impact on the safety of operators. If working in a high-risk and high-pressure working environment, the sudden shutdown of the equipment will have a great impact on the personal safety of the operators. The insulation time refers to the length of time the equipment can maintain the set temperature after reaching the set temperature, which reflects the insulation capacity of the equipment. By analyzing the insulation time, it can be determined whether the insulation capacity of the equipment is lower than the reference threshold under the current service life, thereby determining whether the insulation capacity of the equipment is abnormal. If abnormal, it can be processed in advance to avoid affecting the use of subsequent operators. The system records the time from the completion of temperature adjustment to the temperature falling below the set value, which is generally provided by the control unit.

[0141] The acquired working stability performance data depicts the performance of the equipment in actual operation and can truly reflect the operating status of the equipment. By comparing with the reference data, the shortcomings of the equipment can be quickly identified, which is conducive to subsequent improvements. The data including the allowable deviation makes the assessment process more sensitive and can adapt to different working environments and conditions. It will not be overly critical of the equipment performance due to slight fluctuations. By setting the range of allowable deviation, intelligent working regulation strategies can be implemented to ensure the safety of equipment and users. Through real-time monitoring and feedback, the stability of the working performance of the wearable temperature control equipment used by operators can be ensured, and the reliability of the equipment during use can be improved.

[0142] The formula calculates the relative deviation by dividing the absolute difference between the actual measured value and the reference value by the allowable deviation, so that C can reflect the relative difference between the actual working performance and the expected working performance. It comprehensively considers the three key performance indicators of the actual temperature after the temperature adjustment, the battery output voltage during the temperature adjustment, and the insulation time, and provides a comprehensive evaluation of the overall working stability of the equipment. By regularly calculating and monitoring the C value, the trend of the equipment's working performance can be identified, potential problems in the equipment's working performance can be discovered in a timely manner, and data support can be provided for subsequent equipment processing.

[0143] The working stability performance evaluation value is compared with the preset working stability performance minimum threshold; if the working stability performance evaluation value is greater than the preset working stability performance minimum threshold, the working state of the wearable temperature control equipment is unstable; if the working stability performance evaluation value is not greater than the preset working stability performance minimum threshold, the working state of the wearable temperature control equipment is stable.

[0144] C is compared with the preset minimum threshold of working stability performance. If the C value is greater than the minimum threshold, the working state of the wearable temperature control equipment is determined to be unstable; conversely, if the C value is not greater than the minimum threshold, the working state is considered to be stable, and it can be clearly determined whether the working performance of the equipment is stable. Combining the working state with the threshold comparison mechanism can achieve real-time monitoring and rapid response. Once the working state of the equipment is found to be unstable, timely measures can be taken for maintenance or adjustment to prevent potential failures. Through hierarchical management, according to the level of instability, it is determined whether the wearable temperature control equipment can no longer be used or can continue to be used for a period of time, so as to achieve the purpose of maximizing equipment resources.

[0145] In a specific embodiment, in the working stability performance data, Sw1 is 24.3°C, Dy1 is 24V, and Sc1 is 4.8h; in the working stability performance reference data, Sw0 is 25°C, Dy0 is 23V, and Sc0 is 5h; in the working stability performance allowable deviation data, ΔSw is 2°C, ΔDy is 1.2V; the calculated working stability performance rating value is 1.23, and the working stability performance minimum threshold is 1.73. Since the working stability performance rating value is less than the working stability performance minimum threshold, the working stability performance test of the wearable temperature control equipment corresponding to the working stability performance rating value is qualified.

[0146] S5. If the working stability performance test is qualified, it is determined that the wearable temperature control equipment is qualified; if the working stability performance test is unqualified, it is determined whether the instability level of the wearable temperature control equipment is severely unstable according to the working stability performance test result.

[0147] In step S5, if the working stability performance test is qualified, the wearable temperature control equipment is considered qualified, and the test of the wearable temperature control equipment is ended. If the working stability performance test is unqualified, it is further determined whether the instability level of the wearable temperature control equipment is severe instability.

[0148] It should be noted that there are two levels of instability, namely severe instability and general instability.

[0149] In a preferred embodiment, judging whether the instability level of the wearable temperature control equipment is severely unstable according to the working stability performance detection result includes:

[0150] Determine whether the working stability performance evaluation value is greater than a preset working stability performance maximum threshold. If so, determine that the instability level of the wearable temperature control equipment is severely unstable; otherwise, determine that the instability level of the wearable temperature control equipment is not severely unstable.

[0151] In this embodiment, the working stability performance evaluation value is compared with the preset working stability performance maximum threshold; if the working stability performance evaluation value is greater than the working stability performance maximum threshold, the instability level is severely unstable; if the working stability performance evaluation value is not greater than the working stability performance maximum threshold, the instability level is not severely unstable.

[0152] S6. If the instability level is severe instability, the wearable temperature control equipment is determined to be unqualified; if the instability level is not severe instability, the battery performance data and battery performance reference data of the wearable temperature control equipment are obtained.

[0153] In this embodiment, whether the wearable temperature control equipment can continue to be tested is determined based on the instability level of the wearable temperature control equipment. If the instability level is severely unstable, the wearable temperature control equipment is determined to be unqualified and the test of the wearable temperature control equipment is terminated. If the instability level is not severely unstable, the battery performance test is continued.

[0154] S7. Perform a battery performance test on the wearable temperature control equipment according to the battery performance data and the battery performance reference data.

[0155] In a preferred embodiment, the battery performance data includes: discharge current standard deviation, battery temperature during discharge, and discharge capacity per unit time;

[0156] The battery performance reference data includes: a reference standard deviation of discharge current, a reference battery temperature during discharge, and a reference discharge amount per unit time;

[0157] The performing battery performance detection on the wearable temperature control equipment according to the battery performance data and the battery performance reference data includes:

[0158] Calculating a battery performance evaluation value based on the battery performance data and the battery performance reference data;

[0159] If the battery performance evaluation value is greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment is qualified;

[0160] If the battery performance evaluation value is not greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment fails;

[0161] Wherein, the calculation formula of the battery performance evaluation value is:

[0162]

[0163] Wherein, E represents the battery performance evaluation value; DB1 represents the discharge current standard deviation; FW1 represents the battery temperature during discharge; DL1 represents the discharge amount per unit time; DB0 represents the discharge current reference standard deviation; FW0 represents the reference battery temperature during discharge; DL0 represents the reference discharge amount per unit time.

[0164] It should be noted that the discharge current standard deviation refers to the degree of fluctuation of the battery discharge current value within a certain period of time. The smaller the standard deviation, the more stable the current output. A large standard deviation may indicate unstable battery performance, affecting the normal operation of the equipment. The current value is monitored in real time during the discharge process, the current data at multiple time points are recorded, and then the standard deviation of these data is calculated. The battery temperature during discharge reflects the thermal management of the battery during operation. Excessive temperature may affect battery performance and safety. Using a temperature sensor to monitor the temperature change of the battery during discharge in real time can evaluate whether it meets the energy requirements of wearable temperature control equipment. If the discharge amount is insufficient, the equipment may not work properly. Record data. The discharge amount per unit time refers to the electrical energy released by the battery in a specific time, usually expressed in milliampere hours (mAh) or watt-hours (Wh), reflecting the discharge capacity and efficiency of the battery. The current and time during the discharge process are monitored by the battery management system (BMS) to calculate the discharge amount per unit time.

[0165] Compare E with the preset battery performance threshold. If it is greater than the battery performance threshold, it indicates that the battery's working performance is stable and can continue to be used. The performance test of the wearable temperature control equipment is completed, and its various performances are qualified and can continue to be used. If E is not greater than the battery performance threshold, it indicates that the battery performance is unstable and it is forbidden to continue to use it, and the performance test of the equipment fails. A clear judgment mechanism can monitor the health of the equipment battery and promptly discover the trend of battery performance degradation, so as to take necessary maintenance or replacement measures for the battery, so as to avoid equipment failure or failure due to unstable battery working status during subsequent use by operators, which affects the normal use of the equipment, ensures the safety and reliability of wearable temperature control equipment, and optimizes the use strategy, prolongs the battery life, reduces the replacement frequency, and reduces resource waste.

[0166] In a specific embodiment, in the battery performance data, DB1 is 6.3%, FW1 is 26.5°C, and DL1 is 0.67C. With reference to the battery performance data, DB0 is 7%, FW0 is 25°C, and DL0 is 0.75C. The battery performance rating value is calculated to be 0.9, and the battery performance rating threshold is 0.78. Since the battery performance rating value is greater than the battery performance rating threshold, the battery performance test corresponding to the battery performance rating value is qualified, the battery can continue to be used, and the wearable temperature control equipment is qualified.

[0167] S8. If the battery performance test fails, it is determined that the wearable temperature control equipment is unqualified; if the battery performance test passes, it is determined that the wearable temperature control equipment is qualified.

[0168] In step S8, if the battery performance test fails, the wearable temperature control equipment is considered unqualified, and the test of the wearable temperature control equipment is terminated. If the battery performance test passes, the wearable temperature control equipment is considered qualified, and the test of the wearable temperature control equipment is terminated.

[0169] In a preferred embodiment, before determining that the wearable temperature control equipment is qualified, it also includes:

[0170] Acquire an appearance image of the wearable temperature control equipment;

[0171] Using a feature point detection algorithm, extract key feature points from the appearance image; wherein the key feature points include: edge feature points, hole feature points, texture feature points, sensor feature points and battery interface feature points;

[0172] Generating an actual model of the wearable temperature control equipment according to the key feature points;

[0173] Comparing the actual model with a preset reference model of the wearable temperature control equipment, and determining a matching feature point corresponding to each key feature point of the actual model in the reference model;

[0174] For each key feature point, calculate the Euclidean distance between the key feature point and the corresponding matching feature point, and determine whether the Euclidean distance is greater than a distance threshold preset for the key feature point;

[0175] Count the number of key feature points whose Euclidean distance is greater than the distance threshold as the number of abnormal feature points;

[0176] If the number of abnormal feature points is greater than a preset number threshold, subsequent operations are stopped and the wearable temperature control equipment is determined to be qualified;

[0177] If the number of abnormal feature points is not greater than the preset number threshold, then continue to perform subsequent operations.

[0178] In this embodiment, a camera device is used to obtain an appearance image of the wearable temperature control equipment, and the appearance image is preprocessed; a feature point detection algorithm is used to extract key feature points from the preprocessed appearance test image, including but not limited to edge feature points (edges of the device surface or key components, such as collars, cuffs, edge stitching lines, etc.), hole feature points (button holes, sensor holes, etc.), texture feature points (texture of surface fabrics, texture of heating elements, etc.), sensor feature points and battery interface feature points, and generate feature descriptors; based on the extracted feature points and their descriptors, an actual model of the wearable temperature control equipment is established; and the feature points are obtained from the database. A benchmark model of the wearable temperature control equipment with no damage on the appearance; comparing the actual model with the benchmark model, and calculating the measured distance between the feature points on the actual model and the corresponding feature points on the benchmark model based on the Euclidean distance; comparing each measured distance with the reference distance threshold stored in the database to determine whether there is a difference: if the number of measured distances greater than the reference distance threshold is greater than the set number threshold, it is considered that the appearance inspection of the wearable temperature control equipment corresponding to the actual model is unqualified; if the number of measured distances greater than the reference distance threshold is not greater than the set number threshold, it is considered that the appearance inspection of the wearable temperature control equipment corresponding to the actual model is qualified.

[0179] Use high-resolution camera equipment (such as industrial cameras) to shoot wearable temperature control equipment, use filtering algorithms (such as Gaussian filtering, median filtering, etc.) to reduce the impact of noise in the image, use methods such as histogram equalization to enhance image contrast and make features more prominent, use edge detection algorithms (such as Canny edge detection) to extract edge information of the image, use SIFT / SURF algorithms to identify important feature points in the image, usually local extreme values ​​or areas with significant changes, and for each detected feature point, calculate the SIFT descriptor of the surrounding area (capture the local area of ​​the feature point, calculate the gradient and normalize it to generate The original image is compared with the benchmark model of the undamaged equipment. First, it is necessary to match them in their descriptor space, and use 3D reconstruction methods (such as perspective geometry) to determine the relative positions of feature points in space, and then form a complete model. The benchmark model of the undamaged wearable temperature control equipment is extracted from the database. The benchmark model contains complete feature points and descriptor information. The feature points of the actual model are compared with those of the benchmark model, and the Euclidean distance between the feature points is calculated. The calculation is repeated for all feature points to obtain a set of measured distances, which are compared with the reference distance threshold to determine whether the equipment is damaged and avoid affecting subsequent performance tests.

[0180] Computer vision and image processing technology are used to achieve automated appearance inspection to ensure that the wearable temperature control equipment to be inspected is not damaged, so as to avoid affecting subsequent inspections. Automatic inspection can also reduce the cost of recruiting and training personnel, as well as misjudgments and missed judgments during manual inspections, saving human resources and improving the reliability of overall inspections. The automated program can quickly process a large number of images, achieve rapid inspections, shorten the time for appearance damage inspections, and improve inspection efficiency.

[0181] It should be noted that by setting different specific environmental conditions, the temperature control performance, working state stability and battery performance of the equipment are tested comprehensively, and the results are fed back in real time. It is possible to evaluate the temperature control performance, working state stability and battery performance of the equipment under actual application conditions, so as to promptly discover equipment problems and identify battery failures or aging in a timely manner, thereby ensuring the practicality and safety of the equipment in high-risk working environments and the reliability of the equipment in extreme environments.

[0182] Embodiment 2

[0183] Accordingly, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the wearable temperature control equipment detection method described in the above-mentioned embodiment of the invention.

[0184] Embodiment 3

[0185] Accordingly, an embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wearable temperature control equipment detection method described in the above-mentioned embodiment of the invention.

[0186] It should be noted that the terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0187] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the device, and various interfaces and lines are used to connect various parts of the entire device.

[0188] The memory can be used to store the computer program, and the processor realizes various functions of the device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0189] The storage medium is a storage medium, and the computer program is stored in the storage medium. When the computer program is executed by the processor, the steps of each method embodiment described above can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0190] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A wearable temperature control equipment detection method, characterized in that: include: Obtain temperature control performance data, temperature control performance reference data and temperature control performance allowable deviation data of wearable temperature control equipment; Performing a temperature control performance test on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data; If the temperature control performance test fails, the wearable temperature control equipment is determined to be unqualified; If the temperature control performance test is qualified, the working stability performance data, working stability performance reference data and working stability performance allowable deviation data of the wearable temperature control equipment are obtained; Performing a working stability performance test on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data; If the working stability performance test is qualified, it is determined that the wearable temperature control equipment is qualified; If the working stability performance test fails, judging whether the instability level of the wearable temperature control equipment is severe instability according to the working stability performance test result; If the instability level is severe instability, the wearable temperature control equipment is determined to be unqualified; If the instability level is not severe instability, obtaining battery performance data and battery performance reference data of the wearable temperature control equipment; Performing battery performance testing on the wearable temperature control equipment according to the battery performance data and the battery performance reference data; If the battery performance test fails, the wearable temperature control device is determined to be unqualified; If the battery performance test is qualified, it is determined that the wearable temperature control equipment is qualified.

2. The wearable temperature control equipment detection method according to claim 1, characterized in that: The temperature control performance data includes: temperature adjustment rate, temperature deviation after temperature adjustment, and temperature adjustment time at a specified temperature; The temperature control performance reference data includes: a reference temperature adjustment rate, a reference temperature deviation after the temperature adjustment is completed, and a reference temperature adjustment time of a specified temperature; The temperature control performance allowable deviation data includes: the temperature control rate allowable deviation value and the temperature control time allowable deviation value; The performing temperature control performance detection on the wearable temperature control equipment according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data includes: Calculating a temperature control performance evaluation value according to the temperature control performance data, the temperature control performance reference data and the temperature control performance allowable deviation data; If the temperature control performance evaluation value is less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment fails; If the temperature control performance evaluation value is not less than a preset temperature control performance threshold, it is determined that the temperature control performance test of the wearable temperature control equipment is qualified; Wherein, the calculation formula of the temperature control performance evaluation value is: In the formula, A represents the temperature control performance evaluation value; Ws1 represents the temperature adjustment rate; Wc1 represents the temperature deviation after the temperature adjustment is completed; Tw1 represents the temperature adjustment time of the specified temperature; Ws0 represents the reference temperature adjustment rate; Wc0 represents the reference temperature deviation after the temperature adjustment is completed; Tw0 represents the reference temperature adjustment time of the specified temperature; ΔWs represents the allowable deviation value of the temperature adjustment rate; ΔTw represents the allowable deviation value of the temperature adjustment time.

3. The wearable temperature control equipment detection method according to claim 1, characterized in that: Obtain temperature control performance tolerance data, including: Get the detected temperature and humidity; According to the detected temperature and the detected humidity, a number of corresponding matching temperature control performance detection conditions are obtained from a preset detection condition database; wherein the matching temperature control performance detection conditions include: matching temperature and matching humidity; For each matching temperature control performance detection condition, calculating the temperature control performance deviation comparison coefficient of the matching temperature control performance detection condition according to the detection temperature, detection humidity, matching temperature and matching humidity; Acquire data corresponding to the matching temperature control performance detection condition with the smallest temperature control performance deviation comparison coefficient from a preset temperature control performance allowable deviation database as the temperature control performance allowable deviation data; The calculation formula of the temperature control performance deviation comparison coefficient is: Wherein, B represents the temperature control performance deviation comparison coefficient; Wd1 represents the detection temperature; Sd1 represents the detection humidity; Wd0 represents the matching temperature; Sd0 represents the matching humidity; and e is a natural constant.

4. The wearable temperature control equipment detection method according to claim 1, characterized in that: The working stability performance data includes: the actual temperature after the temperature adjustment is completed, the battery output voltage during the temperature adjustment, and the heat preservation time; The working stability performance reference data includes: a reference actual temperature after the temperature adjustment is completed, a reference battery output voltage during the temperature adjustment, and a reference heat preservation time; The working stability performance allowable deviation data includes: a temperature allowable deviation value and a battery output voltage allowable deviation value; The performing working stability performance detection on the wearable temperature control equipment according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data includes: Calculating a working stability performance evaluation value according to the working stability performance data, the working stability performance reference data and the working stability performance allowable deviation data; If the working stability performance evaluation value is greater than a preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment fails; If the working stability performance evaluation value is not greater than the preset working stability performance minimum threshold, it is determined that the working stability performance test of the wearable temperature control equipment is qualified; The calculation formula of the working stability performance evaluation value is: In the formula, C represents the working stability performance evaluation value; Sw1 represents the actual temperature after the temperature adjustment is completed; Dy1 represents the battery output voltage during the temperature adjustment; Sc1 represents the insulation time; Sw0 represents the reference actual temperature after the temperature adjustment is completed; Dy0 represents the reference battery output voltage during the temperature adjustment; Sc0 represents the reference insulation time; ΔSw represents the allowable temperature deviation value; ΔDy represents the allowable battery output voltage deviation value.

5. The wearable temperature control equipment detection method according to claim 4, characterized in that: The determining, according to the working stability performance test result, whether the instability level of the wearable temperature control equipment is severe instability includes: Determine whether the working stability performance evaluation value is greater than a preset working stability performance maximum threshold. If so, determine that the instability level of the wearable temperature control equipment is severely unstable; otherwise, determine that the instability level of the wearable temperature control equipment is not severely unstable.

6. The wearable temperature control equipment detection method according to claim 1, characterized in that: Obtain the allowable deviation data of working stability performance, including: Get the detected wind speed and sunshine intensity; According to the detected wind speed and the detected sunshine intensity, a number of corresponding matching working stability performance detection conditions are obtained from a preset detection condition database; wherein the matching working stability performance detection conditions include: matching wind speed and matching sunshine intensity; For each matching working stability performance detection condition, calculating the working stability performance deviation comparison coefficient of the matching working stability performance detection condition according to the detected wind speed, the detected sunshine intensity, the matching wind speed and the matching sunshine intensity; From a preset working stability performance deviation database, data corresponding to a matching working stability performance detection condition with a minimum working stability performance deviation comparison coefficient is obtained as working stability performance allowable deviation data; Among them, the calculation formula of the working stability performance deviation comparison coefficient is: Wherein, D represents the working stability performance deviation comparison coefficient; Fs1 represents the detected wind speed; Rz1 represents the detected sunshine intensity; Fs0 represents the matching wind speed; Rz0 represents the matching sunshine intensity; and e is a natural constant.

7. The wearable temperature control equipment detection method according to claim 1, characterized in that: The battery performance data includes: discharge current standard deviation, battery temperature during discharge, and discharge capacity per unit time; The battery performance reference data includes: a reference standard deviation of discharge current, a reference battery temperature during discharge, and a reference discharge amount per unit time; The performing battery performance detection on the wearable temperature control equipment according to the battery performance data and the battery performance reference data includes: Calculating a battery performance evaluation value based on the battery performance data and the battery performance reference data; If the battery performance evaluation value is greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment is qualified; If the battery performance evaluation value is not greater than a preset battery performance threshold, it is determined that the battery performance test of the wearable temperature control equipment fails; Wherein, the calculation formula of the battery performance evaluation value is: Wherein, E represents the battery performance evaluation value; DB1 represents the discharge current standard deviation; FW1 represents the battery temperature during discharge; DL1 represents the discharge amount per unit time; DB0 represents the discharge current reference standard deviation; FW0 represents the reference battery temperature during discharge; DL0 represents the reference discharge amount per unit time.

8. The wearable temperature control equipment detection method according to claim 1, characterized in that: Before determining that the wearable temperature control equipment is qualified, it also includes: Acquire an appearance image of the wearable temperature control equipment; Using a feature point detection algorithm, extract key feature points from the appearance image; wherein the key feature points include: edge feature points, hole feature points, texture feature points, sensor feature points and battery interface feature points; Generating an actual model of the wearable temperature control equipment according to the key feature points; Compare the actual model with a preset reference model of the wearable temperature control equipment to determine a matching feature point corresponding to each key feature point of the actual model in the reference model; For each key feature point, calculating the Euclidean distance between the key feature point and the corresponding matching feature point, and determining whether the Euclidean distance is greater than a distance threshold preset for the key feature point; Count the number of key feature points whose Euclidean distance is greater than the distance threshold as the number of abnormal feature points; If the number of abnormal feature points is greater than a preset number threshold, subsequent operations are stopped and the wearable temperature control equipment is determined to be qualified; If the number of abnormal feature points is not greater than the preset number threshold, then continue to perform subsequent operations.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the wearable temperature control equipment detection method as described in any one of claims 1 to 8.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wearable temperature control equipment detection method according to any one of claims 1 to 8.

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