A method for detecting wearable temperature-controlled equipment, a terminal device, and a storage medium.

Abstract

This invention discloses a method, terminal device, and storage medium for testing wearable temperature-controlled equipment. The method includes: performing temperature control performance testing on the wearable temperature-controlled equipment; if the temperature control performance test fails, the wearable temperature-controlled equipment is determined to be unqualified; otherwise, a working stability performance test is performed; if the working stability performance test passes, the wearable temperature-controlled equipment is determined to be qualified; otherwise, the instability level of the wearable temperature-controlled equipment is determined to be severely unstable; if the instability level is severely unstable, the wearable temperature-controlled equipment is determined to be unqualified; otherwise, a battery performance test is performed; if the battery performance test fails, the wearable temperature-controlled equipment is determined to be unqualified; otherwise, the wearable temperature-controlled equipment is determined to be qualified. This invention's method for testing wearable temperature-controlled equipment comprehensively considers temperature control performance, working stability performance, and battery performance, improving the accuracy of the test results.

Description

Technical Field

[0001] This invention relates to the field of wearable device testing technology, and in particular to a method for testing wearable temperature control equipment, a terminal device, and a storage medium. Background Technology

[0002] Temperature-controlled clothing mainly consists of a textile body and cooling and temperature-regulating functional components. The refrigeration system, control switch, and power system are designed as independent components. Combining research findings on human thermal perception and ergonomic design principles, a semi-flexible thermoelectric device system and other hardware systems are designed for distribution throughout the body to ensure both comfort and portability for wearers.

[0003] Wearable equipment for high-altitude operations has drawbacks such as large size and inconvenience. Many testing methods may only focus on temperature control without comprehensively considering multiple factors such as equipment working status and battery performance, which may lead to misjudgment or omission, affecting the accuracy of test results. Summary of the Invention

[0004] This invention provides a method, terminal device, and storage medium for detecting wearable temperature-controlled equipment, in order to solve the technical problem that existing technologies only focus on the temperature control performance of wearable devices, resulting in inaccurate detection results.

[0005] To address the aforementioned technical problems, embodiments of the present invention provide a method for detecting wearable temperature-controlled equipment, comprising:

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

[0007] Based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data, the wearable temperature control equipment is tested for temperature control performance.

[0008] If the temperature control performance test fails, the wearable temperature control equipment is deemed 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] Based on the aforementioned operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data, the operational stability performance of the wearable temperature control equipment is tested.

[0011] If the operational stability test is passed, the wearable temperature control equipment is deemed qualified.

[0012] If the operational stability performance test fails, the instability level of the wearable temperature control equipment shall be determined based on the operational stability performance test results to determine whether it is severely unstable.

[0013] If the instability level is severe instability, then the wearable temperature control device is determined to be unqualified.

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

[0015] Based on the battery performance data and battery performance reference data, the wearable temperature control device is subjected to battery performance testing.

[0016] If the battery performance test fails, the wearable temperature control device is deemed unqualified.

[0017] If the battery performance test is qualified, then the wearable temperature control equipment is deemed qualified.

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

[0019] The temperature control performance reference data includes: reference temperature adjustment rate, reference temperature deviation after temperature adjustment, and reference temperature adjustment time for the specified temperature.

[0020] The allowable deviation data for temperature control performance includes: allowable deviation values ​​for temperature adjustment rate and allowable deviation values ​​for temperature adjustment duration;

[0021] The step of testing the temperature control performance of the wearable temperature control device based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data includes:

[0022] Calculate the temperature control performance evaluation value based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data;

[0023] If the temperature control performance evaluation value is less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is determined to be unqualified.

[0024] If the temperature control performance evaluation value is not less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is deemed qualified.

[0025] The formula for calculating the temperature control performance evaluation value is as follows:

[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 temperature adjustment; Tw1 represents the temperature adjustment time at the specified temperature; Ws0 represents the reference temperature adjustment rate; Wc0 represents the reference temperature deviation after temperature adjustment; Tw0 represents the reference temperature adjustment time at the specified temperature; ΔWs represents the allowable deviation value of the temperature adjustment rate; and ΔTw represents the allowable deviation value of the temperature adjustment time.

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

[0029] Obtain the detection temperature and humidity;

[0030] Based on the detected temperature and humidity, several corresponding matching temperature control performance test conditions are obtained from a preset test condition database; wherein, the matching temperature control performance test conditions include: matching temperature and matching humidity;

[0031] For each matched temperature control performance test condition, the temperature control performance deviation comparison coefficient is calculated based on the test temperature, test humidity, matched temperature, and matched humidity.

[0032] The data corresponding to the matching temperature control performance test condition with the smallest temperature control performance deviation comparison coefficient is obtained from the preset temperature control performance allowable deviation database and used as the temperature control performance allowable deviation data.

[0033] The formula for calculating the temperature control performance deviation comparison coefficient is as follows:

[0034]

[0035] In the formula, 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 the natural constant.

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

[0037] The reference data for stable working performance includes: the reference actual temperature after temperature adjustment, the reference battery output voltage during temperature adjustment, and the reference heat preservation time.

[0038] The allowable deviation data for operational stability performance includes: allowable deviation values ​​for temperature and allowable deviation values ​​for battery output voltage;

[0039] The step of testing the wearable temperature control equipment's operational stability performance based on the operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data includes:

[0040] Based on the aforementioned operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data, calculate the operational stability performance evaluation value;

[0041] If the rated value of the working stability performance is greater than the preset minimum threshold for working stability performance, then the working stability performance test of the wearable temperature control equipment is determined to be unqualified.

[0042] If the rated value of the working stability performance is not greater than the preset minimum threshold of working stability performance, then the working stability performance test of the wearable temperature control equipment is deemed qualified.

[0043] The formula for calculating the operational stability performance evaluation value is as follows:

[0044]

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

[0046] As a preferred embodiment, determining whether the instability level of the wearable temperature control device is severely unstable based on the operational stability performance test results includes:

[0047] If the evaluation value of the working stability performance is greater than the preset maximum threshold for working stability performance, then the instability level of the wearable temperature control device is determined to be severely unstable; otherwise, the instability level of the wearable temperature control device is determined not to be severely unstable.

[0048] As a preferred approach, data on allowable deviations in operational stability are obtained, including:

[0049] Obtain and measure wind speed and solar radiation intensity;

[0050] Based on the detected wind speed and detected solar radiation intensity, several 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 solar radiation intensity;

[0051] For each matched working stability performance test condition, the working stability performance deviation comparison coefficient of the matched working stability performance test condition is calculated based on the detected wind speed, detected solar radiation intensity, matched wind speed, and matched solar radiation intensity.

[0052] From the preset working stability performance deviation database, obtain the data corresponding to the working stability performance detection condition with the smallest working stability performance deviation comparison coefficient, and use it as the working stability performance allowable deviation data.

[0053] The formula for calculating the operational stability performance deviation comparison coefficient is as follows:

[0054]

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

[0056] As a preferred embodiment, the battery performance data includes: standard deviation of discharge current, battery temperature during discharge, and discharge amount per unit time.

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

[0058] The step of testing the battery performance of the wearable temperature control device based on the battery performance data and battery performance reference data includes:

[0059] Calculate the battery performance rating based on the battery performance data and battery performance reference data;

[0060] If the battery performance evaluation value is greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is deemed qualified.

[0061] If the battery performance evaluation value is not greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is determined to be unqualified.

[0062] The formula for calculating the battery performance evaluation value is as follows:

[0063]

[0064] In the formula, E represents the battery performance rating; DB1 represents the standard deviation of the discharge current; FW1 represents the battery temperature during discharge; DL1 represents the discharge amount per unit time; DB0 represents the reference standard deviation of the discharge current; FW0 represents the reference battery temperature during discharge; and DL0 represents the reference discharge amount per unit time.

[0065] As a preferred embodiment, before determining that the wearable temperature control device is qualified, the following steps are also included:

[0066] Obtain an image of the wearable temperature control device.

[0067] A feature point detection algorithm is used to 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] Based on the key feature points, generate an actual model of the wearable temperature control equipment;

[0069] The actual model is compared with the preset benchmark model of wearable temperature control equipment to determine the matching feature point of each key feature point of the actual model in the benchmark 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 preset distance threshold for the key feature point.

[0071] The number of key feature points whose Euclidean distance is greater than the distance threshold is counted as the number of outlier feature points.

[0072] If the number of abnormal feature points exceeds a preset threshold, subsequent operations will be stopped, and the wearable temperature control equipment will be deemed qualified.

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

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

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

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

[0077] This invention first tests the temperature control performance of the wearable temperature control device. If the temperature control performance test fails, the wearable temperature control device is determined to be unqualified. If the temperature control performance test passes, the device's operational stability performance is then tested. If the operational stability performance test passes, the device is determined to be qualified. If the operational stability performance test fails, the device's instability level is determined to be severely unstable based on the results. If the instability level is severely unstable, the device is determined to be unqualified. If the instability level is not severely unstable, the device's battery performance is then tested. If the battery performance test fails, the device is determined to be unqualified. If the battery performance test passes, the device is determined to be qualified. This invention not only tests the temperature control performance of the wearable temperature control device but also tests its operational stability performance and battery performance, comprehensively considering the device's temperature control performance, operational stability performance, and battery performance, thus improving the accuracy of the test results. Attached Figure Description

[0078] Figure 1 This is a flowchart illustrating a method for detecting wearable temperature-controlled equipment according to an embodiment of the present invention. Detailed Implementation

[0079] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0080] Example 1

[0081] Please refer to Figure 1 The above is a flowchart illustrating a method for detecting wearable temperature-controlled equipment according to 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 wearable temperature control equipment.

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

[0084] Obtain the detection temperature and humidity;

[0085] Based on the detected temperature and humidity, several corresponding matching temperature control performance test conditions are obtained from a preset test condition database; wherein, the matching temperature control performance test conditions include: matching temperature and matching humidity;

[0086] For each matched temperature control performance test condition, the temperature control performance deviation comparison coefficient is calculated based on the test temperature, test humidity, matched temperature, and matched humidity.

[0087] The data corresponding to the matching temperature control performance test condition with the smallest temperature control performance deviation comparison coefficient is obtained from the preset temperature control performance allowable deviation database and used as the temperature control performance allowable deviation data.

[0088] The formula for calculating the temperature control performance deviation comparison coefficient is as follows:

[0089]

[0090] In the formula, 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 the natural constant.

[0091] It should be noted that the wearable temperature control equipment is tested under pre-defined temperature control performance testing conditions to determine whether its temperature control performance is up to standard. These pre-defined temperature control performance testing conditions include the test temperature and humidity in a high-risk environment.

[0092] Obtain the preset matching temperature control performance test conditions, which include matching temperature and matching humidity; compare the set test temperature and test humidity with each matching temperature control performance test condition one by one to obtain the temperature control performance deviation comparison coefficient; obtain the temperature control performance allowable deviation data corresponding to the smallest temperature control performance deviation comparison coefficient stored in the temperature control performance allowable deviation database.

[0093] One-by-one comparisons can accurately identify the adaptability of the set conditions to the equipment performance, ensuring that the equipment can accurately regulate 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 matched temperature represents the actual temperature value that is close to the temperature in the set detection conditions. It is usually stored in the database and derived from past test data. The matched humidity represents the actual humidity value that is close to the humidity in the set detection conditions. It is obtained in a similar way to the matched temperature, through historical experimental results or real-time monitoring data.

[0094] In high-temperature environments, equipment needs to exert more effort to reach the set low temperature. Therefore, the temperature adjustment rate slows down, the temperature difference becomes smaller, and the efficiency of heat exchange through convection and conduction may decrease. This can lead to larger temperature fluctuations, resulting in greater temperature deviation after adjustment, making precise control difficult and the adjustment time often longer. In low-temperature environments, equipment can utilize large temperature differences to accelerate the heating or cooling process. Therefore, the temperature adjustment rate is usually faster, allowing for more precise control to reach the set temperature. The temperature deviation after adjustment is usually smaller, and the adjustment time is typically shorter because the equipment is more efficient when handling larger temperature differences. In high-humidity environments, high humidity reduces the thermal conductivity and heat convection efficiency of the air, leading to a slower temperature adjustment rate and a slower rate at which the equipment reaches the target temperature. This results in unstable temperature control, increasing the temperature deviation after adjustment and potentially prolonging the adjustment time. In low-humidity environments, the temperature adjustment rate is often increased. The lower moisture content in the air helps improve heat exchange efficiency, enhances control stability, reduces temperature deviation after adjustment, and shortens the adjustment time.

[0095] By calculating the temperature and humidity deviations between the detection conditions and the matching conditions, and normalizing them using a combination of logarithmic and computational methods, the deviation coefficient B is obtained. Using a logarithmic function to process the data helps to reduce the impact of extreme deviations on the results, making 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. This is used to calculate the temperature control performance evaluation value in the future, ensuring the reliability of the temperature control performance evaluation value and enabling a more comprehensive reflection of the temperature control performance.

[0096] In a specific embodiment, in the detection conditions and matching detection conditions of a certain wearable temperature control device, Wd1 is 20℃, Sd1 is 30%, Wd0 is 21℃, and Sd0 is 35%. The temperature control performance deviation comparison coefficient is calculated to be 0.19. The ΔWs corresponding to this temperature control performance deviation comparison coefficient is 2℃ / min, and ΔTw is 10min.

[0097] S2. Based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data, the wearable temperature control equipment is tested for temperature control performance.

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

[0099] The temperature control performance reference data includes: reference temperature adjustment rate, reference temperature deviation after temperature adjustment, and reference temperature adjustment time for the specified temperature.

[0100] The allowable deviation data for temperature control performance includes: allowable deviation values ​​for temperature adjustment rate and allowable deviation values ​​for temperature adjustment duration;

[0101] The step of testing the temperature control performance of the wearable temperature control device based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data includes:

[0102] Calculate the temperature control performance evaluation value based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data;

[0103] If the temperature control performance evaluation value is less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is determined to be unqualified.

[0104] If the temperature control performance evaluation value is not less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is deemed qualified.

[0105] The formula for calculating the temperature control performance evaluation value is as follows:

[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 temperature adjustment; Tw1 represents the temperature adjustment time at the specified temperature; Ws0 represents the reference temperature adjustment rate; Wc0 represents the reference temperature deviation after temperature adjustment; Tw0 represents the reference temperature adjustment time at the specified temperature; ΔWs represents the allowable deviation value of the temperature adjustment rate; and ΔTw represents the allowable deviation value of the temperature adjustment time.

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

[0109] It should be noted that the temperature adjustment rate is the rate of temperature change per unit time, usually expressed in °C / min. By monitoring temperature changes through temperature sensors and understanding the equipment's temperature adjustment rate, it is possible to ensure that the equipment has a rapid response capability and can meet the needs of operators in high-risk situations. The temperature deviation after temperature adjustment is the absolute value of the difference between the actual temperature and the set target temperature after reaching a stable time. After temperature adjustment, a high-precision thermometer is used to record the target temperature and the actual temperature. Understanding the temperature deviation after temperature adjustment helps to judge the accuracy and reliability of the equipment's temperature control. The temperature adjustment time for a specified temperature is the time from the start of temperature adjustment to the first time the set temperature is reached within the allowable temperature error range. Recording the time from the start of temperature adjustment to the moment the target temperature is reached can indicate the efficiency of temperature control. Within the service life and within the acceptable temperature adjustment time range, a shorter temperature adjustment time usually means higher efficiency and better equipment performance.

[0110] Assuming a set temperature of 20℃, a permissible temperature error range of ±0.3℃, and a stabilization time of 5 minutes, the temperature adjustment time is defined as the time from the start of temperature adjustment until the actual temperature first enters the range of 19.7℃ to 20.3℃. If the temperature first reaches 19.8℃ after 25 minutes, this 25 minutes is recorded as the temperature adjustment time. The temperature adjustment deviation is calculated as the difference between the final stable temperature and 20℃ after reaching the set range and maintaining it for 5 minutes. For example, if the temperature stabilizes at 18.5℃ after 5 minutes, the temperature adjustment deviation is 1.5℃.

[0111] In the environment to be tested, the detection temperature and humidity are set to those of a high-risk environment. This allows for the assessment of the equipment's temperature control performance within this defined high-risk environment, determining whether the equipment is suitable for use. If the temperature adjustment rate is too slow, the temperature deviation after adjustment is large, or the adjustment time to the specified temperature is long, resulting in a low temperature control performance rating, it indicates poor temperature control performance of the wearable temperature control equipment. Testing in a high-risk environment allows for the early detection of potential equipment deficiencies, enabling appropriate measures to be taken or the remaining usable time estimated. This prevents sudden equipment failure during subsequent operations, ensuring worker safety and reducing potential safety risks.

[0112] By comparing actual temperature control performance with reference performance, the deviation is analyzed to determine the quality of performance. By introducing an allowable deviation, the formula allows for fluctuations within a certain range, preventing misjudgment of the equipment's temperature control performance. This formula integrates three aspects: speed, temperature deviation, and duration, providing a comprehensive performance evaluation value (v) for quick assessment of the temperature control system's temperature control capability. It can identify indicators that need improvement (such as temperature control rate or temperature deviation after temperature control). If the temperature control performance evaluation value is significantly lower than the threshold, temperature control rate analysis is performed. By reviewing historical data on the detected temperature control rate, it is determined whether the temperature control rate is lower than expected and whether it is within the appropriate range. If not, improvements are made to the temperature control rate; if so, the indicator to be improved is the temperature deviation after temperature control, thereby optimizing the control strategy. By comparing with the preset temperature control performance threshold, the evaluation results can be quickly fed back to understand whether the equipment's temperature control performance is qualified.

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

[0114] S3. If the temperature control performance test fails, the wearable temperature control equipment is determined to be 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 unqualified, and the testing of the wearable temperature control equipment ends. If the temperature control performance test passes, the operational stability performance test continues.

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

[0117] Obtain and measure wind speed and solar radiation intensity;

[0118] Based on the detected wind speed and detected solar radiation intensity, several 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 solar radiation intensity;

[0119] For each matched working stability performance test condition, the working stability performance deviation comparison coefficient of the matched working stability performance test condition is calculated based on the detected wind speed, detected solar radiation intensity, matched wind speed, and matched solar radiation intensity.

[0120] From the preset working stability performance deviation database, obtain the data corresponding to the working stability performance detection condition with the smallest working stability performance deviation comparison coefficient, and use it as the working stability performance allowable deviation data.

[0121] The formula for calculating the operational stability performance deviation comparison coefficient is as follows:

[0122]

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

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

[0125] It should be noted that the data on the impact of temperature control equipment's operational stability on the matching data are compared one by one to obtain the operational stability performance deviation comparison coefficient. This coefficient reflects the difference between the set value and the actual environmental conditions. By comparing environmental factors (wind speed and solar radiation intensity) with the actual data of equipment performance, the specific impact of these factors on equipment performance can be quantified, providing a basis for subsequent calculation of operational stability performance evaluation values. Based on the deviation coefficient of the comparison results, the operational stability of the equipment under different environmental conditions can be evaluated more scientifically, thereby making 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 speeds can accelerate heat loss, causing the device to take longer to reach the set temperature, and may even result in the actual temperature being lower than the set value. It can also shorten the heat preservation time, making it impossible for the device to maintain the set temperature for the required duration. Furthermore, the device may need to consume more energy to maintain the set temperature, leading to a drop in battery output voltage and affecting the overall performance of the device. High solar radiation can increase the heat input of the device, potentially accelerating the temperature adjustment process and causing the actual temperature to be higher than the set value. It can also cause the internal temperature of the device to rise, and excessively high battery operating temperature can affect the stability of its output voltage, thereby affecting the device's temperature regulation capability. Strong sunlight can raise the surface temperature of the device in a short time, thereby increasing the heat preservation time.

[0127] Using absolute values ​​to calculate the difference between the set wind speed and the matched wind speed, and between the set solar intensity and the matched solar 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 the natural constant means that the larger the deviation, the more exponentially D will grow. Even small deviations will have a significant impact on D, thus reflecting the stability of the equipment under these conditions.

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

[0129] S4. Based on the working stability performance data, working stability performance reference data, and working stability performance allowable deviation data, perform working stability performance testing on the wearable temperature control equipment.

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

[0131] The reference data for stable working performance includes: the reference actual temperature after temperature adjustment, the reference battery output voltage during temperature adjustment, and the reference heat preservation time.

[0132] The allowable deviation data for operational stability performance includes: allowable deviation values ​​for temperature and allowable deviation values ​​for battery output voltage;

[0133] The step of testing the wearable temperature control equipment's operational stability performance based on the operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data includes:

[0134] Based on the aforementioned operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data, calculate the operational stability performance evaluation value;

[0135] If the rated value of the working stability performance is greater than the preset minimum threshold for working stability performance, then the working stability performance test of the wearable temperature control equipment is determined to be unqualified.

[0136] If the rated value of the working stability performance is not greater than the preset minimum threshold of working stability performance, then the working stability performance test of the wearable temperature control equipment is deemed qualified.

[0137] The formula for calculating the operational stability performance evaluation value is as follows:

[0138]

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

[0140] It should be noted that the actual temperature after temperature adjustment represents the actual temperature reached by the device after the temperature adjustment process, reflecting the effectiveness and accuracy of the temperature adjustment. The built-in temperature sensor monitors the temperature in real time, and the data is usually automatically recorded and stored. The battery output voltage during temperature adjustment represents the real-time voltage output by the battery during the process, reflecting the battery's operating status and its ability to power the device. This directly affects the device's operational stability. A voltage consistently below the standard may lead to performance degradation or malfunction. By using a voltage sensor in the battery management system to acquire the battery output voltage in real time and monitor changes in the battery output voltage, it helps to promptly identify battery problems. Preventative maintenance is crucial to avoid equipment downtime that could impact worker safety. In high-risk, high-pressure environments, sudden equipment shutdown can severely endanger personnel. Insulation duration refers to the length of time the equipment can maintain a set temperature, reflecting its insulation capacity. Analyzing this duration helps determine if the equipment's insulation capacity is below the reference threshold for its current service life, indicating potential abnormalities. If abnormalities are found, proactive measures can be taken to prevent disruption to subsequent operations. The system records the time from temperature adjustment completion to the temperature dropping below the set value, typically provided by the control unit.

[0141] The acquired operational stability performance data depicts the equipment's performance in actual operation, accurately reflecting its operating status. By comparing it with reference data, deficiencies can be quickly identified, facilitating subsequent improvements. The allowable deviation data makes the evaluation process more sensitive, adaptable to different working environments and conditions, and avoids being overly critical of equipment performance due to slight fluctuations. By setting the allowable deviation range, intelligent work control strategies can be implemented to ensure the safety of equipment and users. Real-time monitoring and feedback ensure the stable performance of wearable temperature control equipment used by operators, improving the reliability of equipment during use.

[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. This allows C to reflect the relative difference between the actual working performance and the expected working performance. It comprehensively considers three key performance indicators: the actual temperature after temperature adjustment, the battery output voltage during temperature adjustment, and the heat preservation time. This provides a comprehensive assessment of the overall working stability of the equipment. By regularly calculating and monitoring the C value, trends in equipment working performance can be identified, potential problems in equipment 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 minimum working stability performance threshold; if the working stability performance evaluation value is greater than the preset minimum working stability performance threshold, the working state of the wearable temperature control device is unstable; if the working stability performance evaluation value is not greater than the preset minimum working stability performance threshold, the working state of the wearable temperature control device is stable.

[0144] The system compares the value of C with a preset minimum threshold for stable operating performance. If the value of C is greater than the minimum threshold, the wearable temperature control device is considered to be in an unstable operating state. Conversely, if the value of C is not greater than the minimum threshold, the operating state is considered to be stable. This allows for a clear assessment of whether the device's operating performance is stable. By combining the operating state with the threshold comparison mechanism, real-time monitoring and rapid response can be achieved. Once an unstable operating state is detected, timely maintenance or adjustments can be made to prevent potential malfunctions. Furthermore, through tiered management, the system determines whether the wearable temperature control device is completely unusable or can continue to be used for a period of time based on its level of instability, thereby maximizing the use of equipment resources.

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

[0146] S5. If the operational stability performance test is qualified, the wearable temperature control equipment is determined to be qualified; if the operational stability performance test is unqualified, the instability level of the wearable temperature control equipment is determined to be severely unstable based on the operational stability performance test results.

[0147] In step S5, if the operational stability performance test is passed, the wearable temperature control equipment is considered qualified, and the testing of the wearable temperature control equipment ends. If the operational stability performance test fails, the instability level of the wearable temperature control equipment is further determined to be severely unstable.

[0148] It should be noted that there are two levels of instability: severe instability and moderate instability.

[0149] In a preferred embodiment, determining whether the instability level of the wearable temperature control device is severely unstable based on the operational stability performance test results includes:

[0150] If the evaluation value of the working stability performance is greater than the preset maximum threshold for working stability performance, then the instability level of the wearable temperature control device is determined to be severely unstable; otherwise, the instability level of the wearable temperature control device is determined not to be severely unstable.

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

[0152] S6. If the instability level is severe instability, the wearable temperature control device 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 device are obtained.

[0153] In this embodiment, the suitability of the wearable temperature control device for further testing is determined based on its instability level. If the instability level is severely unstable, the wearable temperature control device is deemed unqualified, and the testing process ends. If the instability level is not severely unstable, battery performance testing continues.

[0154] S7. Based on the battery performance data and battery performance reference data, perform battery performance testing on the wearable temperature control device.

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

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

[0157] The step of testing the battery performance of the wearable temperature control device based on the battery performance data and battery performance reference data includes:

[0158] Calculate the battery performance rating based on the battery performance data and battery performance reference data;

[0159] If the battery performance evaluation value is greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is deemed qualified.

[0160] If the battery performance evaluation value is not greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is determined to be unqualified.

[0161] The formula for calculating the battery performance evaluation value is as follows:

[0162]

[0163] In the formula, E represents the battery performance rating; DB1 represents the standard deviation of the discharge current; FW1 represents the battery temperature during discharge; DL1 represents the discharge amount per unit time; DB0 represents the reference standard deviation of the discharge current; FW0 represents the reference battery temperature during discharge; and DL0 represents the reference discharge amount per unit time.

[0164] It should be noted that the standard deviation of discharge current 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. An excessively large standard deviation may indicate unstable battery performance, affecting the normal operation of the device. By monitoring the current value in real time during the discharge process, recording the current data at multiple time points, and then calculating the standard deviation of these data, 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 in real time during the discharge process can assess whether it meets the energy requirements of wearable temperature control equipment. If the discharge amount is insufficient, it may cause the device to malfunction. Recording data, the discharge amount per unit time refers to the electrical energy released by the battery in a specific time period, usually expressed in milliampere-hours (mAh) or watt-hours (Wh), reflecting the battery's discharge capacity and efficiency. The discharge amount per unit time is calculated by monitoring the current and time during the discharge process through the battery management system (BMS).

[0165] The battery performance threshold (E) is compared with a preset threshold. If E is greater than the threshold, it indicates stable battery performance, allowing continued use. The performance test of the wearable temperature control equipment is then complete, and all its performance parameters are acceptable for continued use. If E is not greater than the threshold, it indicates unstable battery performance, prohibiting further use, and the equipment fails the performance test. This clear judgment mechanism monitors the health of the equipment's batteries, promptly detects declining battery performance, and allows for necessary maintenance or replacement. This prevents equipment malfunction or failure due to unstable battery performance during subsequent use, ensuring the safety and reliability of the wearable temperature control equipment. Furthermore, it optimizes usage strategies, extends battery life, reduces replacement frequency, and minimizes resource waste.

[0166] In one specific embodiment, the battery performance data shows DB1 at 6.3%, FW1 at 26.5°C, and DL1 at 0.67C. Referring to the battery performance data, DB0 shows 7%, FW0 at 25°C, and DL0 at 0.75C, the calculated battery performance rating is 0.9, and the battery performance rating threshold is 0.78. Since the battery performance rating is greater than the battery performance rating threshold, the battery performance test corresponding to the battery performance rating is qualified, the battery can continue to be used, and the wearable temperature control device passes the test.

[0167] S8. If the battery performance test fails, the wearable temperature control device is deemed unqualified; if the battery performance test passes, the wearable temperature control device is deemed qualified.

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

[0169] In a preferred embodiment, before determining that the wearable temperature control device is qualified, the method further includes:

[0170] Obtain an image of the wearable temperature control device.

[0171] A feature point detection algorithm is used to 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] Based on the key feature points, generate an actual model of the wearable temperature control equipment;

[0173] The actual model is compared with the preset benchmark model of wearable temperature control equipment to determine the matching feature point of each key feature point of the actual model in the benchmark 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 preset distance threshold for the key feature point.

[0175] The number of key feature points whose Euclidean distance is greater than the distance threshold is counted as the number of outlier feature points.

[0176] If the number of abnormal feature points exceeds a preset threshold, subsequent operations will be stopped, and the wearable temperature control equipment will be deemed qualified.

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

[0178] In this embodiment, a camera is used to acquire an image of the wearable temperature control equipment, and the image is preprocessed. A feature point detection algorithm is used to extract key feature points from the preprocessed image, including but not limited to edge feature points (edges of the equipment surface or key components, such as collars, cuffs, and seam lines), hole feature points (button holes, sensor holes), texture feature points (texture of the surface fabric, texture of the heating element, etc.), sensor feature points, and battery interface feature points, generating feature descriptors. Based on the extracted feature points and their descriptors, a practical model of the wearable temperature control equipment is established. The system is then retrieved from a database. A baseline model of a wearable temperature control device with no visible damage is used. The actual model is compared with the baseline model, and the measured distance between the feature points on the actual model and the corresponding feature points on the baseline model is calculated based on Euclidean distance. Each measured distance is compared with the reference distance threshold stored in the database to determine if there is a difference: if the number of measured distances greater than the reference distance threshold is greater than the set number threshold, the appearance inspection of the wearable temperature control device corresponding to the actual model is considered unqualified; if the number of measured distances greater than the reference distance threshold is not greater than the set number threshold, the appearance inspection of the wearable temperature control device corresponding to the actual model is considered qualified.

[0179] High-resolution cameras (such as industrial cameras) are used to photograph wearable temperature control equipment. Filtering algorithms (such as Gaussian filtering and median filtering) are employed to reduce noise in the image. Histogram equalization and other methods are used to enhance image contrast and make features more prominent. Edge detection algorithms (such as Canny edge detection) are used to extract edge information from the image. SIFT / SURF algorithms are used to identify important feature points in the image, typically local extrema or regions with significant changes. For each detected feature point, a SIFT descriptor of its surrounding region is calculated (capturing the local region of the feature point, and generating the descriptor by calculating the gradient and normalizing it). The original image is compared with the baseline model of the undamaged equipment (converted into a 128-dimensional vector). First, it needs to be matched in its descriptive subspace. The relative positions of feature points in space are determined using 3D reconstruction methods (such as view geometry) to form a complete model. The baseline model of the undamaged wearable temperature control equipment is extracted from the database. The baseline model contains complete feature points and descriptive subspace information. The feature points of the actual model are compared with those of the baseline model. The Euclidean distance between the feature points is calculated. The calculation is repeated for all feature points to obtain a set of measured distances. These distances are compared with a reference distance threshold to determine whether the equipment is damaged, thus avoiding affecting subsequent performance testing.

[0180] Automated appearance inspection is achieved by utilizing computer vision and image processing technologies to ensure that wearable temperature-controlled equipment under inspection is undamaged, thus avoiding impact on subsequent inspections. Furthermore, automated inspection can reduce the costs of personnel recruitment and training, as well as the errors and omissions that occur during manual inspection, saving human resources and improving the overall reliability of inspection. The automated program can quickly process a large number of images, enabling rapid inspection, shortening the time for appearance damage inspection, and improving inspection efficiency.

[0181] It should be noted that by setting different specific environmental conditions, the equipment's temperature control performance, operational stability, and battery performance can be tested comprehensively and the results can be fed back in real time. This allows for the evaluation of the equipment's temperature control performance, operational stability, and battery performance under real-world application conditions, enabling timely detection of equipment problems and timely identification of battery malfunctions or aging. This ensures the practicality and safety of the equipment in high-risk working environments and guarantees its reliability in extreme environments.

[0182] Example 2

[0183] Accordingly, embodiments of the present invention provide a terminal device, the terminal device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the wearable temperature control equipment detection method described in the above embodiments of the invention.

[0184] Example 3

[0185] Accordingly, embodiments of the present invention provide a storage medium, the storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the wearable temperature control equipment detection method described in the above embodiments of the invention.

[0186] It should be noted that the terminal device can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. The terminal device may include, but is not limited to, a processor and a memory.

[0187] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the device, connecting various parts of the device via various interfaces and lines.

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

[0189] The storage medium is a storage medium in which the computer program is stored. When executed by a processor, the computer program can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed 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 electrical carrier signals and telecommunication signals.

[0190] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for detecting wearable temperature control equipment, 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; The wearable temperature control device is tested for temperature control performance based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data. The temperature control performance data includes: temperature adjustment rate, temperature deviation after temperature adjustment, and temperature adjustment time at a specified temperature. The factors influencing the temperature control performance allowable deviation data include: detection temperature and detection humidity. If the temperature control performance test fails, the wearable temperature control equipment is deemed 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. Based on the aforementioned operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data, the wearable temperature control equipment is tested for operational stability performance. The operational stability performance data includes: the actual temperature after temperature adjustment, the battery output voltage during temperature adjustment, and the heat preservation time. The influencing factors of the operational stability performance allowable deviation data include: the detected wind speed and the detected solar radiation intensity. If the operational stability test is passed, the wearable temperature control equipment is deemed qualified. If the operational stability performance test fails, the instability level of the wearable temperature control equipment shall be determined based on the operational stability performance test results to determine whether it is severely unstable. If the instability level is severe instability, then the wearable temperature control device is determined to be unqualified. If the instability level is not severe instability, then obtain the battery performance data and battery performance reference data of the wearable temperature control device; Based on the battery performance data and battery performance reference data, the wearable temperature control device is subjected to battery performance testing; wherein, the battery performance data includes: standard deviation of discharge current, battery temperature during discharge, and discharge amount per unit time; If the battery performance test fails, the wearable temperature control device is deemed unqualified. If the battery performance test is qualified, then the wearable temperature control equipment is deemed qualified.

2. The wearable temperature control equipment detection method as described in claim 1, characterized in that, The temperature control performance reference data includes: reference temperature adjustment rate, reference temperature deviation after temperature adjustment, and reference temperature adjustment time for the specified temperature. The allowable deviation data for temperature control performance includes: allowable deviation values ​​for temperature adjustment rate and allowable deviation values ​​for temperature adjustment duration; The step of testing the temperature control performance of the wearable temperature control device based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data includes: Calculate the temperature control performance evaluation value based on the temperature control performance data, temperature control performance reference data, and temperature control performance allowable deviation data; If the temperature control performance evaluation value is less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is determined to be unqualified. If the temperature control performance evaluation value is not less than the preset temperature control performance threshold, then the temperature control performance test of the wearable temperature control equipment is deemed qualified. The formula for calculating the temperature control performance evaluation value is as follows: ； In the formula, This indicates the temperature control performance rating; Indicates the temperature adjustment rate; This indicates the temperature deviation after the temperature adjustment is completed; Indicates the duration of temperature adjustment at a specified temperature; Indicates the reference temperature adjustment rate; This indicates the reference temperature deviation after temperature adjustment is completed; Indicates the reference temperature adjustment time for a specified temperature; This indicates the allowable deviation value for the temperature adjustment rate; This indicates the allowable deviation value for temperature adjustment time.

3. The wearable temperature control equipment detection method as described in claim 1, characterized in that, Obtain the allowable deviation data for temperature control performance, including: Obtain the detection temperature and humidity; Based on the detected temperature and humidity, several corresponding matching temperature control performance test conditions are obtained from a preset test condition database; wherein, the matching temperature control performance test conditions include: matching temperature and matching humidity; For each matched temperature control performance test condition, the temperature control performance deviation comparison coefficient is calculated based on the test temperature, test humidity, matched temperature, and matched humidity. The data corresponding to the matching temperature control performance test condition with the smallest temperature control performance deviation comparison coefficient is obtained from the preset temperature control performance allowable deviation database and used as the temperature control performance allowable deviation data. The formula for calculating the temperature control performance deviation comparison coefficient is as follows: ； In the formula, Indicates the coefficient for comparing temperature control performance deviation; Indicates the detected temperature; Indicates humidity detection; Indicates the matching temperature; Indicates matching humidity; It is a natural constant.

4. The wearable temperature control equipment detection method as described in claim 1, characterized in that, The reference data for stable working performance includes: the reference actual temperature after temperature adjustment, the reference battery output voltage during temperature adjustment, and the reference heat preservation time. The allowable deviation data for operational stability performance includes: allowable deviation values ​​for temperature and allowable deviation values ​​for battery output voltage; The step of testing the wearable temperature control equipment's operational stability performance based on the operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data includes: Based on the aforementioned operational stability performance data, operational stability performance reference data, and operational stability performance allowable deviation data, calculate the operational stability performance evaluation value; If the rated value of the working stability performance is greater than the preset minimum threshold for working stability performance, then the working stability performance test of the wearable temperature control equipment is determined to be unqualified. If the rated value of the working stability performance is not greater than the preset minimum threshold of working stability performance, then the working stability performance test of the wearable temperature control equipment is deemed qualified. The formula for calculating the operational stability performance evaluation value is as follows: ； In the formula, This indicates the rating of operational stability. This indicates the actual temperature after the temperature adjustment is completed; This indicates the battery output voltage during temperature adjustment. Indicates the duration of heat preservation; This indicates the reference actual temperature after temperature adjustment is completed; This indicates the reference battery output voltage during temperature adjustment. Indicates the reference insulation time; Indicates the allowable temperature deviation value; This indicates the allowable deviation value of the battery output voltage.

5. The wearable temperature control equipment detection method as described in claim 4, characterized in that, The determination of whether the instability level of the wearable temperature control equipment is severely unstable based on the operational stability performance test results includes: If the evaluation value of the working stability performance is greater than the preset maximum threshold for working stability performance, then the instability level of the wearable temperature control device is determined to be severely unstable; otherwise, the instability level of the wearable temperature control device is determined not to be severely unstable.

6. The method for detecting wearable temperature-controlled equipment as described in claim 1, characterized in that, Obtain allowable deviation data for operational stability performance, including: Obtain and measure wind speed and solar radiation intensity; Based on the detected wind speed and detected solar radiation intensity, several 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 solar radiation intensity; For each matched working stability performance test condition, the working stability performance deviation comparison coefficient of the matched working stability performance test condition is calculated based on the detected wind speed, detected solar radiation intensity, matched wind speed, and matched solar radiation intensity. From the preset working stability performance deviation database, obtain the data corresponding to the working stability performance detection condition with the smallest working stability performance deviation comparison coefficient, and use it as the working stability performance allowable deviation data. The formula for calculating the operational stability performance deviation comparison coefficient is as follows: ； In the formula, Indicates the coefficient for comparing deviations in operational stability; Indicates the detected wind speed; Indicates the intensity of sunlight detected; Indicates matching wind speed; Indicates matching solar radiation intensity; It is a natural constant.

7. The method for detecting wearable temperature-controlled equipment as described in claim 1, characterized in that, The battery performance reference data includes: the reference standard deviation of discharge current, the reference battery temperature during discharge, and the reference discharge amount per unit time. The step of testing the battery performance of the wearable temperature control device based on the battery performance data and battery performance reference data includes: Calculate the battery performance rating based on the battery performance data and battery performance reference data; If the battery performance evaluation value is greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is deemed qualified. If the battery performance evaluation value is not greater than the preset battery performance threshold, then the battery performance test of the wearable temperature control device is determined to be unqualified. The formula for calculating the battery performance evaluation value is as follows: ； In the formula, Indicates the battery performance rating; Indicates the standard deviation of the discharge current; Indicates the battery temperature during discharge; It represents the amount of discharge per unit time. Indicates the reference standard deviation of the discharge current; Indicates the reference battery temperature during discharge; This represents the reference discharge amount per unit time.

8. The method for detecting wearable temperature-controlled equipment as described in claim 1, characterized in that, Before determining that the wearable temperature control device is qualified, the following steps are also included: Obtain an image of the wearable temperature control device. A feature point detection algorithm is used to 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; Based on the key feature points, generate an actual model of the wearable temperature control equipment; The actual model is compared with the preset benchmark model of wearable temperature control equipment to determine the matching feature point of each key feature point of the actual model in the benchmark model. 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 preset distance threshold for the key feature point. The number of key feature points whose Euclidean distance is greater than the distance threshold is counted as the number of outlier feature points. If the number of abnormal feature points exceeds a preset threshold, subsequent operations will be stopped, and the wearable temperature control equipment will be deemed qualified. If the number of abnormal feature points is not greater than a preset threshold, then the subsequent operations will continue.

9. A terminal device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the wearable temperature control device 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 executed, it controls the device containing the storage medium to perform the wearable temperature control equipment detection method as described in any one of claims 1 to 8.

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