An intelligent testing system for heat dissipation components

Abstract

The present invention discloses an intelligent testing system for a heat dissipation component, including: a battery information acquisition subsystem, the battery information acquisition subsystem is used to collect battery information when testing the heat dissipation component, obtain battery information, process the battery information, and obtain battery warning information; an environmental monitoring subsystem, the environmental monitoring subsystem is used to monitor the test environment, obtain test environment information, process the test environment information to obtain environmental control information; an image information acquisition subsystem, the image information acquisition subsystem is used to collect image information during the test of the heat dissipation component, and process the image information to generate image analysis warning information; a ventilation information acquisition subsystem, the ventilation information acquisition subsystem is used to collect ventilation information of the test environment before the heat dissipation component is tested, and obtain environmental ventilation information. The present invention can test the heat dissipation component of a new energy battery with higher accuracy and more intelligence.

Description

Technical Field

[0001] The invention relates to the field of testing systems, and in particular to an intelligent testing system for a heat dissipation component. Background Art

[0002] New energy batteries, especially lithium-ion batteries, generate a lot of heat during operation. If the heat cannot be dissipated in time, the battery temperature will rise, which will affect the performance, life and even safety of the battery. Therefore, the design and optimization of heat dissipation components are crucial for new energy battery systems;

[0003] Before the heat dissipation component is put into use, it needs to be tested for performance to understand its heat dissipation effect. The test system will be used in the testing process of the heat dissipation component.

[0004] In the existing test system, the test results are easily affected by the test environment, resulting in the final test results being not accurate enough, which has a certain impact on the use of the test system. Therefore, an intelligent test system for heat dissipation components is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problem that the test results of the existing test system are easily affected by the test environment, resulting in the final test results being not accurate enough, which has a certain impact on the use of the test system, and provides an intelligent test system for heat dissipation components.

[0006] The present invention solves the above technical problems through the following technical solutions, which include:

[0007] The battery information collection subsystem is used to collect battery information during the heat dissipation component test, obtain battery information, process the battery information, and obtain battery warning information;

[0008] Environmental monitoring subsystem: The environmental monitoring subsystem is used to monitor the test environment, obtain test environment information, and process the test environment information to obtain environmental control information;

[0009] An image information acquisition subsystem, which is used to acquire image information during the test of the heat dissipation component, and to process the acquired image information to generate image analysis warning information;

[0010] The ventilation information collection subsystem is used to collect ventilation information of the test environment before the heat dissipation component is tested, obtain the environmental ventilation information, process the environmental ventilation information, and obtain ventilation warning information;

[0011] The real-time test acquisition subsystem is used to collect heat dissipation test information during the test process of the heat dissipation component, obtain the heat dissipation component test information, evaluate the heat dissipation component test information, and obtain the heat dissipation test evaluation information.

[0012] Furthermore, the process of obtaining the battery warning information is as follows:

[0013] Extract the collected battery information, including battery quantity information, battery weight information, battery external image information, battery production date information and battery real-time charge and discharge times information;

[0014] When the battery quantity information is 1, the external image information of the battery is processed to obtain the appearance evaluation parameters. When the appearance evaluation parameters are abnormal, the battery warning information is generated;

[0015] When the battery quantity information is greater than 1, the battery weight information is processed to obtain weight evaluation parameters, the battery external image information is processed to obtain appearance evaluation parameters, the battery production date information is processed to obtain date evaluation parameters, and the battery real-time charge and discharge times information is processed to obtain charge and discharge evaluation parameters;

[0016] When any one of the weight evaluation parameter, appearance evaluation parameter, date evaluation parameter and charge and discharge evaluation parameter is abnormal, a battery warning message is generated.

[0017] Furthermore, the acquisition process of the weight evaluation parameter, the appearance evaluation parameter, the date evaluation parameter and the charge and discharge evaluation parameter and the abnormality determination process are as follows:

[0018] The battery weight information of each battery is extracted, and the difference between the multiple battery weight information is calculated, that is, the weight evaluation parameter is obtained. When any difference between the multiple battery weight information is greater than a preset value, it indicates that the weight evaluation parameter is abnormal;

[0019] When the battery quantity information is 1, the battery external image information is extracted, and the battery external image information is compared with the preset battery standard image to obtain the comparison similarity, that is, the appearance evaluation parameter. When the appearance evaluation parameter is less than the preset value, it means that there is an abnormality;

[0020] When the battery quantity information is greater than 1, all battery external image information is extracted, and all battery external image information is compared with the preset battery standard image to obtain multiple comparison similarities, which constitute appearance evaluation parameters. When any one of the appearance evaluation parameters is greater than the preset value, it indicates that there is an abnormality;

[0021] Extract the battery production date information, calculate the date difference between the battery production date information of all batteries, and obtain multiple date differences, that is, date evaluation parameters. When any date difference in the date evaluation parameter is greater than a preset value, it indicates that there is an abnormality;

[0022] The real-time charge and discharge times information of the battery is extracted, and the difference between the real-time charge and discharge times information of all batteries is calculated to obtain multiple charge and discharge times differences, that is, charge and discharge evaluation parameters. When any one of the charge and discharge evaluation parameters is greater than a preset value, it indicates that there is an abnormality.

[0023] Furthermore, the specific process of obtaining the environmental control information is as follows: extracting the collected test environment information, the test environment information including environmental temperature information, environmental humidity information and environmental dust concentration information;

[0024] When any one of the ambient temperature information is greater than the preset value a1, the ambient humidity information is greater than the preset value b1, and the ambient dust concentration is greater than the preset value c1, the environmental control information is generated;

[0025] When any two of the ambient temperature information is greater than the preset value a2, the ambient humidity information is greater than the preset value b2, and the ambient dust concentration is greater than the preset value c2 appear at the same time, the environmental control information is generated;

[0026] When the ambient temperature information is greater than the preset value a3, the ambient humidity information is greater than the preset value b3, and the ambient dust concentration is greater than the preset value c3, the environmental control information is generated;

[0027] a1>a2>a3, b1>b2>b3, c1>c2>c3.

[0028] Furthermore, the image analysis warning information includes infrared warning information and person approaching warning information;

[0029] The specific process of image analysis warning information is as follows: extracting the collected image information, the image information includes the real-time infrared image information collected during the test and the real-time image information in the warning area;

[0030] The real-time infrared image information collected during the test is analyzed to obtain the real-time temperature. When the real-time temperature is greater than the preset value, an infrared warning message is generated;

[0031] During the test, the real-time image information in the warning area is processed. When a human image is recognized in the warning area, a person approaching warning message is generated.

[0032] Furthermore, the process of obtaining the warning area is as follows: a protection length is determined according to the battery power during the test, and then the center point of the battery placement position for the test is collected, and a circle is drawn with the center point as the center and the protection length as the radius, so as to obtain the warning area;

[0033] The process of processing the real-time image information in the warning area and identifying the human body image is as follows: a human body model is imported into the real-time image information in the warning area. When the real-time image information in the warning area identifies an object whose similarity with the human body model is greater than a preset value, it means that the human body image is recognized.

[0034] Furthermore, the process of acquiring the environmental ventilation information is as follows: at least three sensing devices are arranged at different heights in the test environment to collect the environmental air velocity information;

[0035] The process of acquiring the ventilation warning information is as follows: extracting the collected environmental ventilation information, and when the three sensor devices used to collect the environmental air flow rate information are all less than the preset value for more than a preset time, the ventilation warning information is generated.

[0036] Furthermore, the process of obtaining the heat dissipation component test information is as follows:

[0037] Install the new energy battery to be tested and its heat dissipation components, ensure that the battery is fully charged or at a specific power level, and connect the required monitoring equipment;

[0038] Then set the temperature conditions: according to the test requirements, adjust the test environment temperature and adjust the environment to the corresponding temperature conditions;

[0039] Under the set temperature conditions, continuously observe and record the changes in battery temperature, obtain the stable parameters of battery temperature, temperature change rate, response speed of the heat dissipation component and the real-time speed parameters of the actual heat dissipation fan blades;

[0040] The stable parameters of battery temperature, the temperature change rate, the response speed of the heat dissipation component and the real-time speed parameters of the fan blades of the actual heat dissipation fan constitute the heat dissipation component test information.

[0041] Furthermore, the heat dissipation test evaluation information is obtained as follows: the heat dissipation component test information is extracted, and the stable parameters of the battery temperature, the temperature change rate, the response speed of the heat dissipation component and the real-time speed parameters of the fan blades of the actual heat dissipation fan are obtained from the heat dissipation component test information;

[0042] The stable parameter of the battery temperature is the number of times the temperature changes greater than the preset value during the test;

[0043] The temperature change rate is the speed at which the battery decreases from the preset temperature f1 to the preset temperature f2;

[0044] The actual real-time speed parameter of the blades of the cooling fan is the difference between the real-time speed of the blades of the cooling fan of the current cooling component and the standard speed parameter in the current control instruction;

[0045] When any two of the following occur: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is level 3 evaluation information;

[0046] When any one of the following occurs: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is secondary evaluation information;

[0047] When the stable parameter of the battery temperature is less than the preset value, the temperature change rate is greater than the preset value, the response speed of the heat dissipation component is less than the preset value and the real-time speed parameter of the actual cooling fan blade is less than the preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is first-level evaluation information.

[0048] Compared with the prior art, the present invention has the following advantages: the intelligent test system of the heat dissipation component integrates multiple subsystems, which can comprehensively cover all links in the test process of the heat dissipation component to ensure the comprehensiveness and completeness of the test. Each subsystem realizes the accurate collection and processing of test information through high-precision sensors and data processing technology, thereby improving the accuracy and reliability of the test. The real-time test collection subsystem can obtain the heat dissipation test information in real time and generate evaluation results in time, which helps the tester to understand the performance status of the heat dissipation component in time. The intelligent test system realizes the automatic processing and intelligent analysis of the test information by integrating advanced data analysis and processing technology, thereby improving the test efficiency and accuracy. The battery information collection subsystem and the environmental monitoring subsystem can record the key information in the test process, thereby providing a strong traceability for the test results. The intelligent test system of the heat dissipation component realizes the comprehensive, accurate and real-time testing and evaluation of the performance of the heat dissipation component by integrating multiple subsystems, thereby having significant advantages and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0050] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0051] like Figure 1 As shown, this embodiment provides a technical solution: an intelligent testing system for a heat dissipation component, comprising:

[0052] The battery information collection subsystem is used to collect battery information during the heat dissipation component test, obtain battery information, process the battery information, and obtain battery warning information;

[0053] Function of the battery information collection subsystem: During the heat dissipation component test, various battery information is collected in real time.

[0054] Advantages: It can detect potential battery problems in time, avoid interference of battery failure on test results, and improve the accuracy and reliability of the test. At the same time, through real-time monitoring of battery information, it helps to optimize the energy consumption management of heat dissipation components and improve the energy efficiency of the overall system.

[0055] Environmental monitoring subsystem: The environmental monitoring subsystem is used to monitor the test environment, obtain test environment information, and process the test environment information to obtain environmental control information;

[0056] Function of the environmental monitoring subsystem: monitor the temperature, humidity and other parameters of the test environment to ensure that the test environment meets the standard requirements.

[0057] Processing: Comprehensively analyze the monitored environmental information, evaluate the impact of the environment on the cooling component test, and generate corresponding environmental control information.

[0058] Advantages: Through accurate environmental monitoring, test errors caused by environmental factors can be effectively avoided, and the accuracy and repeatability of the test can be improved. In addition, the generation of environmental control information helps testers to adjust the test environment in a timely manner to ensure the accuracy of the test results. Image information acquisition subsystem: The image information acquisition subsystem is used to collect image information during the test of the heat dissipation component, and process the image information to generate image analysis warning information;

[0059] Function of the image information acquisition subsystem: During the heat dissipation component test, collect image information of the test process;

[0060] Processing: Process the collected image information, identify potential anomalies or fault points, and generate image analysis warning information.

[0061] Advantages: The image information acquisition subsystem provides an intuitive record of the test process, which helps testers quickly locate problems and improve the efficiency and accuracy of fault diagnosis. At the same time, the generation of image analysis warning information helps to promptly discover and deal with potential problems of heat dissipation components, ensuring the smooth progress of the test.

[0062] The ventilation information collection subsystem is used to collect ventilation information of the test environment before the heat dissipation component is tested, obtain the environmental ventilation information, process the environmental ventilation information, and obtain ventilation warning information;

[0063] Function: Before testing the heat dissipation components, collect ventilation information of the test environment.

[0064] Processing: Process the collected ventilation information, evaluate the impact of ventilation conditions on the cooling component test, and generate ventilation warning information.

[0065] Advantages: The ventilation information collection subsystem helps testers understand the ventilation conditions of the test environment and provide appropriate ventilation conditions for the test of the heat dissipation components. Through the generation of ventilation warning information, problems such as insufficient ventilation or uneven ventilation can be discovered and corrected in a timely manner to ensure that the heat dissipation components are tested under optimal conditions.

[0066] A real-time test acquisition subsystem, which is used to collect heat dissipation test information during the test of the heat dissipation component, obtain the heat dissipation component test information, evaluate the heat dissipation component test information, and obtain the heat dissipation test evaluation information;

[0067] Function: During the test of the heat dissipation component, the heat dissipation test information is collected in real time.

[0068] Processing: Evaluate the collected heat dissipation test information, analyze the performance of the heat dissipation components, and generate heat dissipation test evaluation information.

[0069] Advantages: The real-time test acquisition subsystem provides comprehensive heat dissipation test data support, which helps testers fully understand the performance of heat dissipation components. Through the generation of heat dissipation test evaluation information, the quality of heat dissipation components can be objectively evaluated, providing a strong basis for product optimization and improvement.

[0070] The process of obtaining the battery warning information is as follows:

[0071] Extract the collected battery information, including battery quantity information, battery weight information, battery external image information, battery production date information and battery real-time charge and discharge times information;

[0072] When the battery quantity information is 1, the external image information of the battery is processed to obtain the appearance evaluation parameters. When the appearance evaluation parameters are abnormal, the battery warning information is generated;

[0073] When the battery quantity information is greater than 1, the battery weight information is processed to obtain weight evaluation parameters, the battery external image information is processed to obtain appearance evaluation parameters, the battery production date information is processed to obtain date evaluation parameters, and the battery real-time charge and discharge times information is processed to obtain charge and discharge evaluation parameters;

[0074] When any one of the weight evaluation parameter, appearance evaluation parameter, date evaluation parameter and charge and discharge evaluation parameter is abnormal, a battery warning message is generated.

[0075] Furthermore, the acquisition process of the weight evaluation parameter, the appearance evaluation parameter, the date evaluation parameter and the charge and discharge evaluation parameter and the abnormality determination process are as follows:

[0076] The battery weight information of each battery is extracted, and the difference between the multiple battery weight information is calculated, that is, the weight evaluation parameter is obtained. When any difference between the multiple battery weight information is greater than a preset value, it indicates that the weight evaluation parameter is abnormal;

[0077] When the battery quantity information is 1, the battery external image information is extracted, and the battery external image information is compared with the preset battery standard image to obtain the comparison similarity, that is, the appearance evaluation parameter. When the appearance evaluation parameter is less than the preset value, it means that there is an abnormality;

[0078] When the battery quantity information is greater than 1, all battery external image information is extracted, and all battery external image information is compared with the preset battery standard image to obtain multiple comparison similarities, which constitute appearance evaluation parameters. When any one of the appearance evaluation parameters is greater than the preset value, it indicates that there is an abnormality;

[0079] Extract the battery production date information, calculate the date difference between the battery production date information of all batteries, and obtain multiple date differences, that is, date evaluation parameters. When any date difference in the date evaluation parameter is greater than a preset value, it indicates that there is an abnormality;

[0080] Extract the real-time charge and discharge times information of the battery, calculate the difference between the real-time charge and discharge times information of all batteries, and obtain multiple charge and discharge times differences, that is, charge and discharge evaluation parameters. When any one of the charge and discharge evaluation parameters is greater than a preset value, it indicates that there is an abnormality;

[0081] The entire process of obtaining battery warning information is a comprehensive evaluation process based on multiple parameters. Through this process, possible problems in terms of battery quantity, weight, appearance, production date, and charge and discharge times can be discovered in a timely manner, providing accurate and reliable battery status information for the testing of heat dissipation components.

[0082] By setting preset values ​​and calculating differences or comparing similarities, the process can accurately determine whether the various parameters of the battery are abnormal. This evaluation method based on quantitative indicators improves the accuracy and reliability of the evaluation and reduces the subjectivity and uncertainty of human judgment.

[0083] The process can flexibly adjust the evaluation strategy according to different numbers of batteries. When the number of batteries is 1, the main focus is on the appearance of the battery; when the number of batteries is greater than 1, the differences in weight, production date, and charge and discharge times between batteries are further considered. This flexibility makes the process applicable to battery testing scenarios of different scales.

[0084] Through automated processing and calculation, the process can quickly complete the extraction, processing and evaluation of battery information and generate battery warning information. This high efficiency helps to timely discover potential battery problems and avoid the expansion of problems. It also improves test efficiency and minimizes the impact of battery-related heat dissipation component test results.

[0085] The specific process of obtaining the environmental control information is as follows: extracting the collected test environment information, the test environment information includes environmental temperature information, environmental humidity information and environmental dust concentration information;

[0086] When any one of the ambient temperature information is greater than the preset value a1, the ambient humidity information is greater than the preset value b1, and the ambient dust concentration is greater than the preset value c1, the environmental control information is generated;

[0087] When any two of the ambient temperature information is greater than the preset value a2, the ambient humidity information is greater than the preset value b2, and the ambient dust concentration is greater than the preset value c2 appear at the same time, the environmental control information is generated;

[0088] When the ambient temperature information is greater than the preset value a3, the ambient humidity information is greater than the preset value b3, and the ambient dust concentration is greater than the preset value c3, the environmental control information is generated;

[0089] a1>a2>a3, b1>b2>b3, c1>c2>c3;

[0090] Through the above process, it is possible to improve the accuracy of the test and strictly monitor the test environment. This process can minimize the impact of environmental factors on the test results. Whether it is temperature, humidity or dust concentration, it may have a significant impact on the heat dissipation performance and test results of new energy batteries. Therefore, timely acquisition and response to environmental control information helps to ensure the accuracy and reliability of test results.

[0091] The test safety is guaranteed. Testing in harsh environments such as high temperature, high humidity or high dust concentration may not only affect the test results, but also cause damage to the test equipment and the object being tested (such as new energy batteries), and even cause safety accidents. By obtaining and responding to environmental control information in a timely manner, potential safety hazards can be effectively prevented and the safety of testers and test equipment can be guaranteed.

[0092] Improve test efficiency. By setting reasonable warning thresholds and timely environmental control measures, the process can reduce test interruptions and repeated tests caused by environmental factors, thereby improving test efficiency. Testers can focus more on the test work itself without having to pay frequent attention to changes in the test environment.

[0093] In summary, the environmental control information acquisition process during the above-mentioned new energy battery heat dissipation component testing process has significant benefits such as multi-level early warning mechanism, improved test accuracy, guaranteed test safety and improved test efficiency.

[0094] The image analysis warning information includes infrared warning information and personnel approaching warning information;

[0095] The specific process of image analysis warning information is as follows: extracting the collected image information, the image information includes the real-time infrared image information collected during the test and the real-time image information in the warning area;

[0096] The real-time infrared image information collected during the test is analyzed to obtain the real-time temperature. When the real-time temperature is greater than the preset value, an infrared warning message is generated;

[0097] During the test, the real-time image information in the warning area is processed. When a human image is recognized in the warning area, a person approaching warning message is generated.

[0098] The process of obtaining the warning area is as follows: the protection length is determined according to the battery power during the test, and then the center point of the battery placement position for the test is collected, and a circle is drawn with the center point as the center and the protection length as the radius, and the warning area is obtained;

[0099] The process of processing the real-time image information in the warning area to identify the human body image is as follows: a human body model is imported into the real-time image information in the warning area, and when the real-time image information in the warning area identifies an object with a similarity with the human body model greater than a preset value, it means that the human body image is identified;

[0100] The above process conducts real-time temperature monitoring: by analyzing the real-time infrared image information, the real-time temperature of the battery during the test can be accurately obtained. When the temperature exceeds the preset value, an infrared warning message is immediately generated, which helps to timely detect and prevent battery overheating problems and ensure the safety of heat dissipation component testing.

[0101] Personnel safety protection: monitor the real-time image information in the warning area, and generate a person approaching warning message when a human image is identified, which can effectively prevent people from accidentally entering the dangerous area during the heat dissipation component test and ensure the safety of the testers;

[0102] The protection length is determined according to the battery power during the test, and the warning area is drawn with the center point of the battery placement as the center of the circle. This customized setting method can more accurately define the danger zone and improve the targeted safety protection.

[0103] Improve warning effect: Clear warning areas help testers clearly understand which areas need special attention, thereby improving vigilance and safety during the test;

[0104] Intelligent monitoring: By importing the human body model into the real-time image information for comparison and identification, an intelligent monitoring method is realized. This method can quickly and accurately identify the human body image and improve the monitoring efficiency and accuracy.

[0105] Timely warning: Once a human image is identified, a warning message of the person approaching is immediately generated, providing timely warning to the tester, helping to prevent accidents.

[0106] The process of obtaining the ambient ventilation information is as follows: at least three sensing devices are set up at different heights in the test environment to collect ambient air velocity information;

[0107] The process of obtaining the ventilation warning information is as follows: extracting the collected environmental ventilation information, and generating ventilation warning information when the three sensor devices used to collect the environmental air flow rate information are all less than the preset value for more than the preset time;

[0108] Ensure the test environment: Multiple sensor devices are set up in the test environment to collect ambient air flow rate information, which can fully understand the ventilation conditions of the test environment. This is especially important for the testing of new energy battery heat dissipation components, because good ventilation conditions help dissipate heat and ensure the accuracy of test results.

[0109] Prevent potential risks: When the ambient air flow rate is lower than the preset value and lasts for a certain period of time, a ventilation warning message is generated. This helps testers to promptly detect the problem of insufficient ventilation and take corresponding measures to improve ventilation conditions, thereby preventing potential risks caused by poor ventilation.

[0110] The process of obtaining the heat dissipation component test information is as follows:

[0111] Install the new energy battery to be tested and its heat dissipation components, ensure that the battery is fully charged or at a specific power level, and connect the required monitoring equipment;

[0112] Then set the temperature conditions: according to the test requirements, adjust the test environment temperature and adjust the environment to the corresponding temperature conditions;

[0113] Under the set temperature conditions, continuously observe and record the changes in battery temperature, obtain the stable parameters of battery temperature, temperature change rate, response speed of the heat dissipation component and the real-time speed parameters of the actual heat dissipation fan blades;

[0114] The stable parameters of battery temperature, the temperature change rate, the response speed of the heat dissipation component and the real-time speed parameters of the fan blades of the actual heat dissipation fan constitute the heat dissipation component test information.

[0115] The process of obtaining the heat dissipation test evaluation information is as follows: extracting the heat dissipation component test information, and obtaining the battery temperature stability parameters, temperature change rate, heat dissipation component response speed and actual heat dissipation fan blade real-time speed parameters from the heat dissipation component test information;

[0116] The stable parameter of the battery temperature is the number of times the temperature changes greater than the preset value during the test;

[0117] The temperature change rate is the speed at which the battery decreases from the preset temperature f1 to the preset temperature f2;

[0118] The actual real-time speed parameter of the blades of the cooling fan is the difference between the real-time speed of the blades of the cooling fan of the current cooling component and the standard speed parameter in the current control instruction;

[0119] When any two of the following occur: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is level 3 evaluation information;

[0120] When any one of the following occurs: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is secondary evaluation information;

[0121] When the battery temperature stability parameter is less than the preset value, the temperature change rate is greater than the preset value, the heat dissipation component response speed is less than the preset value, and the actual heat dissipation fan blade real-time speed parameter is less than the preset value, the heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is the first-level evaluation information;

[0122] The lower the evaluation level, the better the test evaluation result of the heat dissipation component. Different temperature conditions are set according to the test requirements to make the test closer to the actual application scenario and improve the pertinence and practicality of the test.

[0123] A three-level evaluation information system is adopted to provide different levels of evaluation information according to different test results. This can not only accurately reflect the performance status of the heat dissipation components, but also facilitate testers to carry out subsequent processing based on the evaluation results.

[0124] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0125] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0126] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent testing method for a heat dissipation component, characterized in that: The intelligent testing method includes an intelligent testing system, and the intelligent testing system includes: The battery information collection subsystem is used to collect battery information during the heat dissipation component test, obtain battery information, process the battery information, and obtain battery warning information; Environmental monitoring subsystem: The environmental monitoring subsystem is used to monitor the test environment, obtain test environment information, and process the test environment information to obtain environmental control information; An image information acquisition subsystem, which is used to acquire image information during the test of the heat dissipation component, and to process the acquired image information to generate image analysis warning information; The ventilation information collection subsystem is used to collect ventilation information of the test environment before the heat dissipation component is tested, obtain the environmental ventilation information, process the environmental ventilation information, and obtain ventilation warning information; A real-time test acquisition subsystem, which is used to collect heat dissipation test information during the test of the heat dissipation component, obtain the heat dissipation component test information, evaluate the heat dissipation component test information, and obtain the heat dissipation test evaluation information; The process of obtaining the heat dissipation component test information is as follows: Install the new energy battery to be tested and its heat dissipation components, ensure that the battery is in a specific power state, and connect the required monitoring equipment; Then set the temperature conditions: according to the test requirements, adjust the test environment temperature to the corresponding temperature conditions; Under the set temperature conditions, continuously observe and record the changes in battery temperature, obtain the stable parameters of battery temperature, temperature change rate, response speed of the heat dissipation component and the real-time speed parameters of the actual heat dissipation fan blades; The stable parameters of battery temperature, the temperature change rate, the response speed of the heat dissipation component and the real-time speed parameters of the blades of the actual heat dissipation fan constitute the heat dissipation component test information; The process of obtaining the heat dissipation test evaluation information is as follows: extracting the heat dissipation component test information, and obtaining the battery temperature stability parameters, temperature change rate, heat dissipation component response speed and actual heat dissipation fan blade real-time speed parameters from the heat dissipation component test information; The stable parameter of the battery temperature is the number of times the temperature changes greater than the preset value during the test; The temperature change rate is the speed at which the battery decreases from the preset temperature f1 to the preset temperature f2; The actual real-time speed parameter of the blades of the cooling fan is the difference between the real-time speed of the blades of the cooling fan of the current cooling component and the standard speed parameter in the current control instruction; When any two of the following occur: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is level 3 evaluation information; When any one of the following occurs: the battery temperature stability parameter is greater than a preset value, the temperature change rate is less than a preset value, the heat dissipation component response speed is greater than a preset value, and the actual heat dissipation fan blade real-time speed parameter is greater than a preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is secondary evaluation information; When the stable parameter of the battery temperature is less than the preset value, the temperature change rate is greater than the preset value, the response speed of the heat dissipation component is less than the preset value and the real-time speed parameter of the actual cooling fan blade is less than the preset value, heat dissipation test evaluation information is generated. At this time, the heat dissipation test evaluation information is first-level evaluation information.

2. The intelligent testing method for a heat dissipation component according to claim 1, characterized in that: The process of obtaining the battery warning information is as follows: Extract the collected battery information, including battery quantity information, battery weight information, battery external image information, battery production date information and battery real-time charge and discharge times information; When the battery quantity information is 1, the external image information of the battery is processed to obtain the appearance evaluation parameters. When the appearance evaluation parameters are abnormal, the battery warning information is generated; When the battery quantity information is greater than 1, the battery weight information is processed to obtain weight evaluation parameters, the battery external image information is processed to obtain appearance evaluation parameters, the battery production date information is processed to obtain date evaluation parameters, and the battery real-time charge and discharge times information is processed to obtain charge and discharge evaluation parameters; When any one of the weight evaluation parameter, appearance evaluation parameter, date evaluation parameter and charge and discharge evaluation parameter is abnormal, a battery warning message is generated.

3. The intelligent testing method of a heat dissipation component according to claim 2, characterized in that: The acquisition process of the weight evaluation parameter, appearance evaluation parameter, date evaluation parameter and charge and discharge evaluation parameter and the abnormality determination process are as follows: The battery weight information of each battery is extracted, and the difference between the multiple battery weight information is calculated, that is, the weight evaluation parameter is obtained. When any difference between the multiple battery weight information is greater than a preset value, it indicates that the weight evaluation parameter is abnormal; When the battery quantity information is 1, the battery external image information is extracted, and the battery external image information is compared with the preset battery standard image to obtain the comparison similarity, that is, the appearance evaluation parameter. When the appearance evaluation parameter is less than the preset value, it means that there is an abnormality; When the battery quantity information is greater than 1, all battery external image information is extracted, and all battery external image information is compared with the preset battery standard image to obtain multiple comparison similarities, which constitute appearance evaluation parameters. When any one of the appearance evaluation parameters is greater than the preset value, it indicates that there is an abnormality; Extract the battery production date information, calculate the date difference between the battery production date information of all batteries, and obtain multiple date differences, that is, date evaluation parameters. When any date difference in the date evaluation parameter is greater than a preset value, it indicates that there is an abnormality; The real-time charge and discharge times information of the battery is extracted, and the difference between the real-time charge and discharge times information of all batteries is calculated to obtain multiple charge and discharge times differences, that is, charge and discharge evaluation parameters. When any one of the charge and discharge evaluation parameters is greater than a preset value, it indicates that there is an abnormality.

4. The intelligent testing method for a heat dissipation component according to claim 1, characterized in that: The specific process of obtaining the environmental control information is as follows: extracting the collected test environment information, the test environment information includes environmental temperature information, environmental humidity information and environmental dust concentration information; When any one of the ambient temperature information is greater than the preset value a1, the ambient humidity information is greater than the preset value b1, and the ambient dust concentration is greater than the preset value c1, the environmental control information is generated; When any two of the ambient temperature information is greater than the preset value a2, the ambient humidity information is greater than the preset value b2, and the ambient dust concentration is greater than the preset value c2 appear at the same time, the environmental control information is generated; When the ambient temperature information is greater than the preset value a3, the ambient humidity information is greater than the preset value b3, and the ambient dust concentration is greater than the preset value c3, the environmental control information is generated; a1>a2>a3, b1>b2>b3, c1>c2>c3.

5. The intelligent testing method for a heat dissipation component according to claim 1, characterized in that: The image analysis warning information includes infrared warning information and personnel approaching warning information; The specific process of image analysis warning information is as follows: extracting the collected image information, the image information includes the real-time infrared image information collected during the test and the real-time image information in the warning area; The real-time infrared image information collected during the test is analyzed to obtain the real-time temperature. When the real-time temperature is greater than the preset value, an infrared warning message is generated; During the test, the real-time image information in the warning area is processed. When a human image is recognized in the warning area, a person approaching warning message is generated.

6. The intelligent testing method for a heat dissipation component according to claim 5, characterized in that: The process of obtaining the warning area is as follows: the protection length is determined according to the battery power during the test, and then the center point of the battery placement position for the test is collected, and a circle is drawn with the center point as the center and the protection length as the radius, and the warning area is obtained; The process of processing the real-time image information in the warning area and identifying the human body image is as follows: a human body model is imported into the real-time image information in the warning area. When the real-time image information in the warning area identifies an object whose similarity with the human body model is greater than a preset value, it means that the human body image is recognized.

7. The intelligent testing method for a heat dissipation component according to claim 1, characterized in that: The process of obtaining the ambient ventilation information is as follows: at least three sensing devices are set up at different heights in the test environment to collect ambient air velocity information; The process of acquiring the ventilation warning information is as follows: extracting the collected environmental ventilation information, and when the three sensor devices used to collect the environmental air flow rate information are all less than the preset value for more than a preset time, the ventilation warning information is generated.

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