Intelligent indoor simulation test device and method for soaking performance of cooling material

Abstract

The invention belongs to the technical field of simulation testing, and particularly relates to an intelligent indoor simulation testing device and method for the soaking performance of a cooling material. Comprising a shell, at least four equipment shells, a multispectral light source simulation system, an internal heat source system, an intelligent temperature control and humidity control system, a multidimensional sensor array and an automatic test and data analysis platform, each equipment shell is arranged at the bottom end in the shell, and a to-be-tested cooling material is arranged on the outer surface of each equipment shell; the multispectral light source simulation system is arranged at the top end in the shell, the internal heat source system comprises at least four internal heat sources arranged in the equipment shells, the intelligent temperature control and humidity control system is arranged on the side face in the shell, and the multidimensional sensor arrays are arranged in the equipment shells. And the automatic test and data analysis platform is arranged outside the shell. According to the invention, the automatic parallel test of various cooling materials is realized, and the test efficiency, the test accuracy and the test applicability are improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of simulation test, and particularly relates to an intelligent indoor simulation test device and method for the heat equalization performance of a cooling material. BACKGROUND

[0002] In the power industry, the temperature rise of equipment during operation is one of the key factors affecting the safety and reliability of the system. With the continuous increase in power density of power equipment, the heat generated inside the equipment increases significantly, causing the surface temperature of the equipment to rise, which in turn affects its performance and service life. For example, key equipment such as transformers, switch cabinets, and cable joints are prone to local overheating due to internal heat generation and external environmental temperature during long-term operation, which may cause equipment failure or even fire, threatening the stable operation of the power system.

[0003] To address this issue, the power industry widely uses cooling materials (such as cooling paint and cooling film) to reduce the surface temperature of equipment and improve its heat dissipation performance. However, traditional cooling material performance testing methods have many limitations: (1) single test environment: unable to simulate complex outdoor lighting conditions and equipment internal heating, resulting in deviations between test results and actual application scenarios; (2) incomplete test data: lack of real-time monitoring and analysis of multi-dimensional data such as temperature, pressure, and humidity, making it difficult to fully evaluate the performance of cooling materials; (3) low testing efficiency: traditional testing methods usually require a long time, and cannot test multiple materials simultaneously, making it difficult to meet the power industry's demand for efficient testing; (4) lack of intelligent support: the testing process relies on manual operation, making it difficult to uncover potential patterns in the data. SUMMARY

[0004] To overcome the problems in the related art, the application provides an intelligent indoor simulation test device and method for the heat equalization performance of a cooling material.

[0005] According to a first aspect of an embodiment of the application, an intelligent indoor simulation test device for the heat equalization performance of a cooling material is provided, comprising: a housing, at least four equipment housings, a multi-spectral light source simulation system, an internal heat source system, an intelligent temperature and humidity control system, a multi-dimensional sensor array, and an automated testing and data analysis platform; each equipment housing is arranged at the bottom end inside the housing, and each equipment housing has a cooling material to be tested on its outer surface; The multi-spectral light source simulation system is arranged at the top end inside the housing and is used to simulate outdoor lighting conditions; The internal heat source system includes at least four internal heat sources arranged inside the equipment housings, respectively, and is used to simulate the internal heat generation of the equipment during operation; The intelligent temperature and humidity control system is arranged on the side of the inside of the shell, and is used for adjusting the temperature and humidity of the test environment in the shell in real time. The multi-dimensional sensor array is arranged in each device shell, and is used for monitoring the related information of the tested cooling material. The automatic test and data analysis platform is arranged outside the shell, and is used for simulating different test conditions to perform multi-material parallel testing by controlling the multi-spectrum light source simulation system, the internal heat source system and the intelligent temperature and humidity control system, and monitoring the related information by controlling the multi-dimensional sensor array, and generating a test report according to the related information.

[0006] Preferably, the related information of the tested cooling material includes humidity, temperature and pressure.

[0007] Preferably, the multi-spectrum light source simulation system includes a multi-spectrum xenon lamp assembly, an arc-shaped sliding rail and a light source controller. The arc-shaped sliding rail is arranged at the top of the inside of the shell. The multi-spectrum xenon lamp assembly is arranged below the arc-shaped sliding rail, and is used for simulating different angles of outdoor light by sliding on the arc-shaped sliding rail. The light source controller is arranged outside the shell and connected with the multi-spectrum xenon lamp assembly, and is used for controlling the heating power, illumination time and moving speed on the sliding rail of the multi-spectrum xenon lamp assembly.

[0008] Preferably, the internal heat source system further includes a heat source controller. Each internal heat source is used for simulating the internal heating condition of the device in operation. The heat source controller is connected with each internal heat source, and is used for adjusting the heating power of the internal heat source.

[0009] Preferably, the internal heat source is an electric heating wire, a heating plate or a PTC heating element.

[0010] Preferably, the intelligent temperature and humidity control system includes a plurality of wireless temperature and humidity sensors, a heating / cooling device, a humidifying / dehumidifying device and a wireless temperature and humidity controller. The wireless temperature and humidity sensors, the heating / cooling device and the humidifying / dehumidifying device are arranged on the side of the inside of the shell respectively, and the wireless temperature and humidity controller is arranged outside the shell. The wireless temperature and humidity sensors are used for monitoring the temperature and humidity of the test environment in the device shell, and sending the temperature and humidity of the test environment to the wireless temperature and humidity controller. The wireless temperature and humidity controller is configured to control the heating / cooling device or the humidifying / dehumidifying device according to the temperature or humidity of the test environment, so as to keep the temperature of the test environment at a preset temperature and keep the humidity of the test environment at a preset humidity.

[0011] Preferably, the wireless temperature and humidity controller is particularly configured to: When the temperature of the test environment is less than the preset temperature, the heating / cooling device is controlled to increase the temperature of the test environment until the temperature of the test environment is equal to the preset temperature. When the temperature of the test environment is greater than the preset temperature, the heating / cooling device is controlled to decrease the temperature of the test environment until the temperature of the test environment is equal to the preset temperature. When the humidity of the test environment is less than the preset humidity, the humidifying / dehumidifying device is controlled to increase the humidity of the test environment until the humidity of the test environment is equal to the preset humidity. When the humidity of the test environment is greater than the preset humidity, the humidifying / dehumidifying device is controlled to decrease the humidity of the test environment until the humidity of the test environment is equal to the preset humidity.

[0012] Preferably, the multi-dimensional sensor array comprises a temperature sensor, a pressure sensor and a humidity sensor, and the temperature sensor, the pressure sensor and the humidity sensor are respectively arranged in the device housings. The temperature sensor is configured to monitor the temperature of the surface of the to-be-tested cooling material. The pressure sensor is configured to monitor the pressure of the surface of the to-be-tested cooling material. The humidity sensor is configured to monitor the humidity of the surface of the to-be-tested cooling material. The temperature of the surface of the to-be-tested cooling material, the pressure of the surface of the to-be-tested cooling material and the humidity of the surface of the to-be-tested cooling material are related information of the to-be-tested cooling material.

[0013] Preferably, the automatic test and data analysis platform comprises a control unit, a data acquisition unit, a data analysis unit and a report generation unit connected in sequence, and the control unit is connected with the light source controller, the heat source controller and the wireless temperature and humidity controller. The control unit is configured to control the multi-spectral light source simulation system through the light source controller, control the internal heat source system through the light source controller, control the intelligent temperature and humidity control system through the wireless temperature and humidity controller, simulate different test conditions for multi-material parallel testing, and monitor the related information through the multi-dimensional sensor array and send the related information to the data acquisition unit. The data acquisition unit is configured to perform data preprocessing on the related information and send the processed related information to the data analysis unit. The data analysis unit is configured to perform data analysis according to the processed related information, obtain data analysis results, and send the data analysis results to the report generation unit. The report generation unit is configured to automatically generate a structured test report based on a preset report format and according to the data analysis results.

[0014] Preferably, the data acquisition unit is specifically configured to: filter, denoise and calibrate the related information, mark or exclude abnormal data in the related information, and obtain the processed related information.

[0015] Preferably, the data analysis unit is specifically configured to: calculate a key performance indicator using the processed related information; draw a real-time curve graph using the processed related information; input the processed related information into a preset intelligent algorithm, output abnormal data, and determine an abnormal reason corresponding to the abnormal data; The key performance indicator, the real-time curve graph, the abnormal data and the abnormal reason are the data analysis results.

[0016] Preferably, the key performance indicator at least includes the following seven kinds: average temperature, temperature change rate, heat dissipation efficiency, average pressure, pressure change rate, average humidity and humidity change rate. The real-time curve graph at least includes the following three kinds: real-time temperature curve graph, real-time humidity curve graph and real-time pressure curve graph.

[0017] Preferably, the data analysis unit further includes an establishing module configured to establish the preset intelligent algorithm; the establishing module is specifically configured to: a collection submodule configured to collect historical related information and historical abnormal data; a processing submodule configured to preprocess the historical related information to obtain processed historical related information; A submodule is constructed to build a dataset using the processed historical information and the historical anomaly data, and to divide the dataset into a training set and a test set. The training submodule is used to train the intelligent algorithm using the training set to obtain the trained intelligent algorithm. The verification submodule is used to verify the trained intelligent algorithm using the test set. If the verification is successful, the trained intelligent algorithm is the preset intelligent algorithm; if the verification fails, the hyperparameters of the intelligent algorithm are adjusted, and the intelligent algorithm with adjusted hyperparameters is retrained until the verification is successful.

[0018] Preferably, the device further includes: a remote monitoring and control system connected to the automated testing and data analysis platform; the remote monitoring and control system includes: a remote control unit and a data transmission unit; The remote control unit is used to remotely control the automated testing and data analysis platform to simulate different testing conditions, perform parallel testing of multiple materials, monitor relevant information of the cooling material under test, and generate a test report based on the relevant information. The data transmission unit is used to store and back up the relevant information of the cooling material under test, the processed relevant information, the data analysis results, and the test report.

[0019] According to a second aspect of the present invention, an intelligent indoor simulation test method for the heat dissipation performance of cooling materials is provided, applied to the intelligent indoor simulation test device for the heat dissipation performance of cooling materials, comprising: The cooling material to be tested is placed on the outer surface of the equipment casing; By controlling the multispectral light source simulation system, internal heat source system, and intelligent temperature and humidity control system through the automated testing and data analysis platform, different test conditions are simulated to conduct parallel testing of multiple materials. Furthermore, by controlling the multi-dimensional sensor array, relevant information of the cooling material under test is monitored, and a test report is generated based on the relevant information.

[0020] Preferably, the process involves controlling a multispectral light source simulation system, an internal heat source system, and an intelligent temperature and humidity control system via an automated testing and data analysis platform to simulate different testing conditions for parallel testing of multiple materials. It also involves controlling a multi-dimensional sensor array to monitor relevant information about the cooling material under test and generating a test report based on this information, including: By utilizing the control unit in the automated testing and data analysis platform, the multispectral light source simulation system is controlled by the light source controller, the internal heat source system is controlled by the light source controller, and the intelligent temperature and humidity control system is controlled by the wireless temperature and humidity controller to simulate different test conditions for parallel testing of multiple materials. The control unit in the automated testing and data analysis platform monitors the relevant information by controlling the multi-dimensional sensor array and sends the relevant information to the data acquisition unit. The data acquisition unit performs data preprocessing on the relevant information, and then sends the processed relevant information to the data analysis unit. The data analysis unit performs data analysis based on the processed relevant information to obtain data analysis results, and sends the data analysis results to the report generation unit; The report generation unit automatically generates a structured test report based on a preset report format and the data analysis results.

[0021] According to a third aspect of the present invention, an electronic device is provided, comprising: at least one processor and a memory; the memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the intelligent indoor simulation test method for the heat dissipation performance of cooling materials is realized.

[0022] According to a fourth aspect of the present invention, a readable storage medium is provided having an executable program stored thereon, wherein when the executable program is executed, the intelligent indoor simulation test method for the heat dissipation performance of cooling materials is implemented.

[0023] The technical solution provided by this invention has the following beneficial effects: This invention provides an intelligent indoor simulation testing device and method for the heat dissipation performance of cooling materials, comprising: a housing, at least four device shells, a multispectral light source simulation system, an internal heat source system, an intelligent temperature and humidity control system, a multidimensional sensor array, and an automated testing and data analysis platform; each device shell is located at the bottom of the housing, and the cooling material to be tested is disposed on the outer surface of each device shell; the multispectral light source simulation system is located at the top of the housing to simulate outdoor lighting conditions; the internal heat source system includes at least four internal heat sources respectively disposed inside the device shells to simulate the internal heat generation during equipment operation; the intelligent temperature and humidity control system is located on the side inside the housing to adjust the temperature and humidity of the test environment inside the housing in real time; the multidimensional sensor array is located inside each device shell to monitor relevant information of the cooling material to be tested; the automated testing and data analysis platform is located outside the housing to simulate different test conditions for parallel testing of multiple materials by controlling the multispectral light source simulation system, the internal heat source system, and the intelligent temperature and humidity control system, and to monitor relevant information by controlling the multidimensional sensor array and generate test reports based on the relevant information. The technical solution provided by this invention, through the combination of a multispectral light source simulation system and an internal heat source system, can more realistically simulate the heat generation during equipment operation and outdoor lighting conditions; by utilizing a multi-dimensional sensor array to achieve real-time monitoring of relevant information of the cooling material under test, it provides comprehensive performance data, laying the foundation for accurate evaluation of the cooling material under test; by utilizing an intelligent temperature and humidity control system to accurately simulate different environmental conditions, it shortens the testing cycle and thus predicts the performance changes of the cooling material in the actual use environment in advance; this invention realizes automated parallel testing and intelligent analysis of various cooling materials, and fully restores the actual working environment of the cooling materials, which not only improves testing efficiency, but also improves the accuracy and applicability of the test. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a structural block diagram of an intelligent indoor simulation testing device for the heat dissipation performance of cooling materials provided in an embodiment of the present invention; Figure 2 This is a flowchart of an intelligent indoor simulation test method for the heat dissipation performance of cooling materials provided in an embodiment of the present invention; Figure 3This is a structural block diagram of an electronic device provided in an embodiment of the present invention; In the diagram, 1-multispectral xenon lamp assembly, 2-arc sliding rail, 3-light source controller, 4-humidification / dehumidification device, 5-multidimensional sensor array, 6-wireless temperature and humidity controller, 7-internal heat source, 8-heat source controller, 9-housing shell, 10-automated testing and data analysis platform, 11-heating / cooling device, 12-wireless temperature and humidity sensor, 13-equipment housing. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the following embodiments are only some embodiments of this invention, not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0027] Example 1 This invention provides an intelligent indoor simulation testing device for the heat dissipation performance of cooling materials, suitable for performance testing and evaluation of cooling materials in fields such as power equipment, building materials, and industrial equipment. Figure 1 As shown, it includes: a housing 9, at least four device housings 13, a multispectral light source simulation system, an internal heat source system 7, an intelligent temperature and humidity control system, a multidimensional sensor array 5, and an automated testing and data analysis platform 10; each device housing 13 is located at the bottom inside the housing 9, and the outer surface of each device housing 13 is provided with the cooling material to be tested; The multispectral light source simulation system is located at the top inside the housing 9 and is used to simulate outdoor lighting conditions; The internal heat source 7 system includes at least four internal heat sources 7 respectively disposed inside the equipment housing 13, for simulating the internal heat generation during equipment operation; The intelligent temperature and humidity control system is located on the side inside the housing 9, and is used to adjust the temperature and humidity of the test environment inside the housing 9 in real time. A multi-dimensional sensor array 5 is set inside the housing 13 of each device to monitor relevant information of the cooling material to be tested. An automated testing and data analysis platform 10 is located outside the housing 9. It is used to simulate different test conditions for parallel testing of multiple materials by controlling a multispectral light source simulation system, an internal heat source system 7, and an intelligent temperature and humidity control system. It also monitors relevant information by controlling a multi-dimensional sensor array 5 and generates test reports based on the relevant information.

[0028] This invention provides an intelligent indoor simulation testing device for the heat dissipation performance of cooling materials. It can simulate real working environments, provide comprehensive test data, and is also a highly efficient and intelligent indoor simulation testing device for the heat dissipation performance of cooling materials, meeting the urgent needs of the power industry. Furthermore, this device not only provides a scientific basis for the selection, design, and optimization of power equipment, but also provides technical support for the research and development and improvement of cooling materials, thereby enhancing the safety and reliability of power systems and promoting the sustainable development of the power industry.

[0029] In some embodiments, the housing 9 may be, but is not limited to, a cube-shaped housing 9.

[0030] Further information regarding the cooling material to be tested includes humidity, temperature, and pressure.

[0031] Furthermore, the multispectral light source simulation system includes: a multispectral xenon lamp assembly 1, an arc-shaped slide rail 2, and a light source controller 3; The arc-shaped slide rail 2 is located at the top of the interior of the housing 9; The multispectral xenon lamp assembly 1 is positioned below the arc-shaped slide rail 2 and is used to simulate outdoor lighting at different angles by sliding on the arc-shaped slide rail 2. The light source controller 3 is located outside the housing 9 and is connected to the multispectral xenon lamp assembly 1. It is used to control the heating power, illumination time and moving speed of the multispectral xenon lamp assembly 1 on the slide rail.

[0032] It should be noted that the multispectral light source simulation system can simulate spectra of different wavelength ranges (such as sunlight, LED light, ultraviolet, visible light and infrared, etc.), and thus simulate different outdoor lighting conditions.

[0033] The multispectral light source simulation system, serving as the light source module of this invention, is used to simulate light sources with different spectra to test the performance of the cooling material under different illumination conditions. It provides a controllable light source, supporting adjustments to the spectral range, light intensity, and illumination angle to simulate illumination conditions in a real environment, and to test the optical properties and thermal response of the material. The multispectral light source simulation system connects to the automated testing and data analysis platform 10 via a standardized interface, supporting flexible combination and adjustment. Data transmission is achieved via data cable or wireless signal, enabling real-time interaction with the automated testing and data analysis platform 10.

[0034] Furthermore, the internal heat source system 7 also includes: a heat source controller 8; Each internal heat source 7 is used to simulate the internal heat generation during equipment operation; The heat source controller 8 is connected to each internal heat source 7 and is used to adjust the heating power of the internal heat source 7.

[0035] Specifically, the internal heat source 7 may be, but is not limited to, an electric heating wire, a heating plate, or a PTC heating element.

[0036] In some embodiments, the heat source controller 8 adjusts the heating power of the internal heat source 7 to a range of 100-1000W.

[0037] It is understandable that each device housing 13 and its corresponding internal heat source 7 and multi-dimensional sensor array 5 serve as a test unit to test one type of cooling material; multiple device housings 13 and their corresponding internal heat sources 7 and multi-dimensional sensor arrays 5 can test various types of cooling materials.

[0038] This invention uses an internal heat source system 7 combined with a light source to simulate a real working environment, thereby improving the accuracy and reliability of performance testing of the cooling material under test.

[0039] The internal heat source 7 system, as the internal heat source 7 module of this invention, is used to simulate heat sources that materials may encounter in actual use (such as heat generation from electronic devices, high ambient temperatures, etc.). It provides a controllable heat source, supports adjustments to heat source power and temperature distribution, and tests the material's heat dissipation performance, heat dissipation effect, and thermal stability under the influence of heat sources. The internal heat source 7 module connects to the automated testing and data analysis platform 10 through a standardized interface, supporting flexible combination and adjustment. Data transmission is achieved via data cable or wireless signal, enabling real-time interaction with the automated testing and data analysis platform 10.

[0040] Furthermore, the intelligent temperature and humidity control system includes: multiple wireless temperature and humidity sensors 12, heating / cooling device 11, humidification / dehumidification device 4, and wireless temperature and humidity controller 6; The wireless temperature and humidity sensor 12, the heating / cooling device 11 and the humidification / dehumidification device 4 are respectively disposed on the side inside the housing 9, and the wireless temperature and humidity controller 6 is disposed on the outside of the housing 9; The wireless temperature and humidity sensor 12 is used to monitor the temperature and humidity of the test environment inside the device housing 13 and send the temperature and humidity of the test environment to the wireless temperature and humidity controller 6. The wireless temperature and humidity controller 6 is used to control the heating / cooling device 11 or the humidification / dehumidification device 4 according to the temperature or humidity of the test environment, so as to maintain the temperature of the test environment at a preset temperature and the humidity of the test environment at a preset humidity.

[0041] This invention ensures the consistency of test conditions through an intelligent temperature and humidity control system.

[0042] Furthermore, the wireless temperature and humidity controller 6 is specifically used for: When the temperature of the test environment is lower than the preset temperature, the temperature of the test environment is increased by controlling the heating / cooling device 11 until the temperature of the test environment equals the preset temperature, and then the operation stops. When the temperature of the test environment is higher than the preset temperature, the temperature of the test environment is reduced by controlling the heating / cooling device 11 until the temperature of the test environment is equal to the preset temperature, and then the operation stops. When the humidity of the test environment is lower than the preset humidity, the humidity of the test environment is increased by controlling the humidification / dehumidification device 4 until the humidity of the test environment equals the preset humidity, and then the operation stops. When the humidity of the test environment is greater than the preset humidity, the humidity of the test environment is reduced by controlling the humidification / dehumidification device 4 until the humidity of the test environment equals the preset humidity, and then the operation stops.

[0043] The intelligent temperature and humidity control system, serving as the environmental control module of this invention, is used to simulate and control temperature and humidity conditions in the test environment. It provides a controllable temperature and humidity environment, supports adjustments to the temperature range and humidity level, and tests the performance and stability of materials under different temperature and humidity conditions. The environmental control module connects to the automated testing and data analysis platform 10 via a standardized interface, supporting flexible combinations and adjustments. Data transmission is achieved via data cable or wireless signal, enabling real-time interaction with the automated testing and data analysis platform 10.

[0044] Furthermore, the multi-dimensional sensor array 5 includes: a temperature sensor, a pressure sensor, and a humidity sensor; the temperature sensor, pressure sensor, and humidity sensor are respectively disposed inside the housing 13 of each device. Temperature sensor used to monitor the surface temperature of the material to be cooled; Pressure sensor used to monitor the pressure on the surface of the material being cooled; A humidity sensor is used to monitor the humidity on the surface of the material being cooled. Among them, the surface temperature of the cooling material to be tested, the surface pressure of the cooling material to be tested, and the surface humidity of the cooling material to be tested are the relevant information of the cooling material to be tested.

[0045] The multi-dimensional sensor array 5, serving as the sensor module of this invention, is used to collect physical quantity data in real time during the testing process. It collects key parameters such as temperature, pressure, and humidity to ensure the integrity and accuracy of the test data, and supports multi-sensor collaborative operation to comprehensively monitor changes in the testing environment. The multi-dimensional sensor array 5 connects to the automated testing and data analysis platform 10 through a standardized interface, supporting flexible combination and adjustment. Data transmission is achieved via data cable or wireless signal, enabling real-time interaction with the automated testing and data analysis platform 10.

[0046] This invention provides comprehensive performance data by using a multi-dimensional sensor array 5 to monitor the temperature, pressure, and humidity changes on the surface of the cooling material in real time.

[0047] Furthermore, the automated testing and data analysis platform 10 includes: a control unit, a data acquisition unit, a data analysis unit, and a report generation unit connected in sequence; the control unit is connected to the light source controller 3, the heat source controller 8, and the wireless temperature and humidity controller 6, respectively. The control unit is used to control the multispectral light source simulation system by controlling the light source controller 3, to control the intelligent temperature and humidity control system by controlling the light source controller 3 through the internal heat source 7 system, and to control the intelligent temperature and humidity control system by controlling the wireless temperature and humidity controller 6, to simulate different test conditions for multi-material parallel testing; and to monitor relevant information by controlling the multi-dimensional sensor array 5 and send the relevant information to the data acquisition unit. The data acquisition unit is used to preprocess relevant information and send the processed information to the data analysis unit. The data analysis unit is used to perform data analysis based on the processed relevant information, obtain data analysis results, and send the data analysis results to the report generation unit; The report generation unit is used to automatically generate structured test reports based on preset report formats and data analysis results.

[0048] Furthermore, the data acquisition unit is specifically used for: The relevant information is filtered, denoised, and calibrated, and abnormal data in the relevant information is marked or removed to obtain the processed relevant information.

[0049] Furthermore, the data analysis unit is specifically used for: Using the processed relevant information, key performance indicators are calculated; Using the processed information, a real-time graph is plotted. The processed relevant information is used as input to a preset intelligent algorithm to output abnormal data and determine the cause of the abnormality corresponding to the abnormal data. Key performance indicators, real-time graphs, abnormal data, and causes of abnormalities are the results of data analysis.

[0050] Key performance indicators include at least the following seven: average temperature, rate of temperature change, heat dissipation efficiency, average pressure, rate of pressure change, average humidity, and rate of humidity change. Real-time graphs should include at least the following three types: real-time temperature graph, real-time humidity graph, and real-time pressure graph.

[0051] Furthermore, the data analysis unit also includes: a creation module for creating preset intelligent algorithms; the creation module is specifically used for: The data collection submodule is used to collect relevant historical information and historical anomaly data; The processing submodule is used to preprocess historical information to obtain processed historical information. The construction submodule is used to build a dataset using the processed historical relevant information and historical anomalous data, and to divide the dataset into training set and test set; The training submodule is used to train the intelligent algorithm using the training set to obtain the trained intelligent algorithm; The verification submodule is used to verify the trained intelligent algorithm using a test set. If the verification is successful, the trained intelligent algorithm is the preset intelligent algorithm; if the verification fails, the hyperparameters of the intelligent algorithm are adjusted, and the intelligent algorithm with adjusted hyperparameters is retrained until the verification is successful.

[0052] Furthermore, the training submodule is specifically used for: The intelligent algorithm is trained by using the processed historical information in the training set as the input layer training samples and the historical abnormal data in the training set as the output layer training samples.

[0053] Furthermore, the verification submodule is specifically used for: The processed historical information in the test set is used as input to the trained intelligent algorithm, which outputs predicted abnormal data. The prediction accuracy is calculated using the predicted outlier data and historical outlier data in the training set. If the prediction accuracy is greater than or equal to the accuracy threshold, the verification is successful; otherwise, the verification fails.

[0054] Furthermore, the control unit is the core of the platform, responsible for coordinating and managing the execution of the entire testing process, ensuring that each module operates according to the preset procedures. It starts and stops the testing process based on preset test parameters (such as temperature, humidity, light intensity, heat source power, etc.), controls the operating status of modules such as the multispectral light source simulation system, the internal heat source system, and the temperature and humidity control system, and adjusts parameters such as light source movement speed, heat source power, and temperature and humidity range to simulate different test conditions. Simultaneously, the control unit monitors the operating status of each module in real time, detects abnormalities (such as equipment failure, parameter exceeding limits, etc.), and triggers an alarm mechanism to promptly notify operators or automatically take corrective measures. In addition, the control unit supports parallel testing of multiple materials, automatically schedules resource allocation for multiple test units, and optimizes the execution order of test tasks based on test priority and resource availability. The control unit is implemented through an embedded system or industrial computer, equipped with dedicated control software, supports communication interfaces with each module (such as RS485, Modbus, TCP / IP, etc.), and supports remote control, allowing users to remotely adjust test parameters and monitor test status via the internet.

[0055] Furthermore, the data acquisition unit is responsible for acquiring data in real time from the multi-dimensional sensor array 5 and other test modules, ensuring data integrity and accuracy. It collects physical quantity data such as temperature, pressure, and humidity from devices like wireless temperature and humidity sensors, and operational status data (such as light source power, heat source power, temperature and humidity setpoints) from modules like the multispectral light source simulation system, internal heat source system 7, and temperature and humidity control system. The data acquisition unit filters, denoises, and calibrates the acquired raw data to ensure reliability, and marks or removes abnormal data to avoid affecting subsequent analysis. The acquired data is stored in real time in a local database or in the cloud, supporting long-term, large-scale test data storage in formats including structured data (such as CSV and SQL databases) and unstructured data (such as log files). The data acquisition unit is implemented through a data acquisition card or embedded acquisition module, supporting multiple communication protocols (such as I2C, SPI, and CAN), and equipped with a data caching mechanism to ensure data integrity and real-time performance under high load conditions.

[0056] Furthermore, the data analysis unit performs in-depth analysis of the collected data, extracting valuable information and evaluating the performance of the cooling materials. It performs real-time calculations on data such as temperature, pressure, and humidity, generating key performance indicators (such as average temperature, temperature change rate, and heat dissipation efficiency), and plots real-time curves to show the changes in temperature, pressure, and humidity over time on the sunlit side (the side illuminated by the spectrum provided by the multispectral light source simulation system) and the shaded side (the side not illuminated by the spectrum provided by the multispectral light source simulation system). The data analysis unit utilizes pre-built intelligent algorithms (such as machine learning algorithms and deep learning algorithms) to identify patterns and trends in the test data, automatically detect abnormal data (such as sudden temperature increases and pressure fluctuations), and analyze their possible causes. Based on the test data, the data analysis unit evaluates the heat dissipation performance, heat dissipation effect, and durability of the cooling materials, analyzing differences in material performance and optimization directions by comparing data under different test conditions. In addition, based on historical data and machine learning models, the data analysis unit predicts performance changes in the materials during long-term use and provides predicted results of accelerated aging tests, helping users understand the material's lifespan and performance degradation in advance. The data analysis unit is implemented through high-performance computing devices (such as GPU servers), supports large-scale parallel data processing, and integrates data analysis software (such as Python, MATLAB, R, etc.) and machine learning frameworks (such as TensorFlow, PyTorch, etc.).

[0057] Furthermore, the report generation unit automatically generates structured test reports based on data analysis results, providing users with intuitive test conclusions and suggestions. The report content includes a test overview (such as test objectives, test conditions, test time, etc.), data analysis results (such as statistical analysis and charts of temperature, pressure, humidity, etc.), performance evaluation (such as a detailed evaluation of the heat dissipation performance, heat dissipation effect, and durability of the cooling material), anomaly analysis (such as cause analysis and suggestions for abnormal data occurring during the test), and prediction results (such as performance predictions for the material in long-term use and accelerated aging test results). The report generation unit supports multiple report formats (such as PDF, Word, Excel, etc.) for easy viewing and sharing, and provides visual charts (such as line graphs, bar charts, heat maps, etc.) to enhance report readability. Depending on user needs, the report generation unit can generate test reports of varying levels of detail (such as concise reports and detailed reports) and supports custom report templates to meet the needs of different industries or application scenarios. The report generation unit is implemented through report generation software (such as JupyterNotebook, LaTeX, Microsoft Office, etc.), supports automated generation and export, and integrates data visualization tools (such as Matplotlib, Tableau, Power BI, etc.) to improve the visualization effect of the report.

[0058] The aforementioned automated testing and data analysis platform 10, serving as the data processing module of this invention, is responsible for collecting, storing, and processing data from the light source module, the internal heat source module 7, the sensor module, and the environmental control module. The data acquisition unit collects data from the sensor module and other modules, ensuring data integrity and accuracy. The data analysis unit performs in-depth analysis on the collected data, extracting valuable information and utilizing intelligent algorithms and machine learning techniques to analyze patterns and trends in the data, generating performance evaluation results. The report generation unit generates a structured test report based on the analysis results, providing intuitive test conclusions and suggestions. The data processing module connects to each module through standardized interfaces, supporting flexible combination and adjustment. Data transmission is achieved via data cables or wireless signals, enabling real-time interaction with each module.

[0059] During testing, the control unit initiates the test, coordinates the operation of each module, and sends operational status data to the data acquisition unit. The data acquisition unit collects data from the sensor modules, preprocesses it, stores it, and then transmits the data to the data analysis unit. The data analysis unit performs real-time analysis and in-depth data mining, generates performance evaluation results, and sends these results to the report generation unit. Based on the analysis results, the report generation unit automatically generates a test report, which users can view and export. For example, during testing, the control unit sets the light source movement speed to 5 m / h, the heat source power to 500W, and the temperature and humidity to 25°C / 50%. The data acquisition unit collects temperature, pressure, and humidity data in real time and stores them in the database. The data analysis unit calculates the average temperature and temperature change rate, identifies temperature anomalies, and predicts material performance degradation. The report generation unit generates a test report, including temperature curves, performance evaluation, and prediction results. If the control unit detects an excessive temperature, it automatically reduces the heat source power and triggers an alarm. The data analysis unit analyzes the cause of the anomaly and provides improvement suggestions in the report. Through this collaboration, the automated testing and data analysis platform 10 achieves automation of the testing process, accurate data analysis, and intelligent report generation.

[0060] This invention employs a modular design comprised of a multispectral light source simulation system, an internal heat source system 7, an intelligent temperature and humidity control system, a multidimensional sensor array 5, and an automated testing and data analysis platform 10. The modules are connected via standardized interfaces, supporting flexible combination and adjustment. Data transmission between modules is achieved through data cables or wireless signals. The testing modules can be flexibly combined and adjusted according to different testing requirements, thereby improving the applicability and flexibility of the testing device.

[0061] This invention uses an automated testing and data analysis platform 10 to automatically control the testing process of the cooling material under test, collect data and perform real-time analysis, generate test reports, and also supports intelligent algorithms and machine learning technology to automatically identify patterns and trends in the test data and provide more in-depth performance analysis.

[0062] Furthermore, the device also includes: a remote monitoring and control system connected to the automated testing and data analysis platform 10; the remote monitoring and control system includes: a remote control unit and a data transmission unit; The remote control unit is used to remotely control the automated testing and data analysis platform 10 to simulate different testing conditions, conduct parallel testing of multiple materials, monitor relevant information of the cooling material under test, and generate test reports based on the relevant information. The data transmission unit is used to store and back up relevant information about the cooling material under test, processed relevant information, data analysis results, and test reports.

[0063] Furthermore, the remote control unit monitors the operational status of each module in the test platform in real time (including the light source module, internal heat source module, sensor module, environmental control module, and data processing module). It displays real-time change curves of test data (such as temperature, pressure, and humidity) and the operating parameters of each module (such as light source power, heat source power, and temperature and humidity setpoints) through a visual interface (such as a web page or mobile application). Users can remotely adjust test parameters via the internet, such as light source movement speed, heat source power, and temperature and humidity range. It provides a preset test scheme selection function, allowing users to directly call preset schemes and quickly start the test. The remote control unit also supports simultaneous access and operation of the test platform by multiple users, enabling remote collaboration and resource sharing. It provides access control functionality, allowing administrators to assign different operating permissions to different users to ensure system security. In addition, the remote control unit detects abnormal situations in the test platform in real time (such as equipment failure and parameter exceeding limits) and alerts users via email, SMS, or application notifications. Users can remotely handle abnormal situations, such as stopping the test, adjusting parameters, or starting backup equipment. The remote control unit connects to the control unit to obtain the real-time operating status of each module in the test platform and send remote operation commands; it connects to the data processing module to obtain real-time test data and analysis results and display them to the user through a visual interface; it connects to the sensor module to obtain real-time data such as temperature, pressure, and humidity for monitoring and alarm purposes; and it connects to the light source module, internal heat source module 7, and environmental control module to support users in remotely adjusting test parameters.

[0064] Furthermore, the data transmission unit is responsible for data transmission between the remote monitoring and control system and the automated testing and data analysis platform 10, ensuring the real-time performance, integrity, and security of the data. The data transmission unit uploads real-time data (such as temperature, pressure, humidity, etc.) and analysis results (such as performance evaluation and prediction results) from the testing platform to the cloud or a remote server, supporting multiple data formats (such as JSON, CSV, etc.) to ensure data compatibility and readability. Simultaneously, the data transmission unit downloads operation instructions from the remote control unit (such as adjusting test parameters, starting / stopping tests, etc.) to the testing platform, ensuring timely execution of instructions and supporting breakpoint resume functionality to ensure complete data transmission even under unstable network conditions. The data transmission unit encrypts the transmitted data to ensure data security and privacy, supporting multiple encryption protocols (such as SSL / TLS) to prevent data theft or tampering during transmission. In addition, the data transmission unit compresses the transmitted data to reduce bandwidth consumption, improve transmission efficiency, and supports priority settings to ensure that critical data (such as alarm information) is transmitted first. The data transmission unit connects to the data processing module to upload real-time test data and analysis results, and download remote operation commands; it connects to the control unit to transmit remote operation commands to the test platform and obtain the operating status of each module; it connects to the remote control unit to transmit real-time data and analysis results to the user terminal and receive user operation commands.

[0065] In a remote monitoring and control system, the remote control unit connects to the data transmission unit via the internet to acquire real-time test data and analysis results, and sends remote operation commands. The data transmission unit transmits these commands to the control unit, controlling the operational status of each module in the test platform. The control unit transmits the operational status of each module and real-time test data to the data processing module for data analysis and report generation. The data processing module transmits the analysis results back to the data transmission unit, uploading them to the cloud or a remote server for the remote control unit to display to the user. For example, a user can view the operational status of the light source module, internal heat source module, sensor module, and environmental control module in the test platform, as well as the real-time data change curves for temperature, pressure, and humidity, through the remote control unit. The user can adjust the light source movement speed to 5 m / h, the heat source power to 500W, and the temperature and humidity to 25°C / 50% through the remote control unit; the data transmission unit transmits these commands to the control unit to control the operation of each module in the test platform. Multiple users can simultaneously access the test platform through the remote control unit; the administrator assigns different operating permissions to different users to ensure system security. The remote control unit detects that the temperature exceeds the limit and alerts the user via email, SMS, or app notification. The user can then remotely handle the abnormal situation, such as stopping the test or adjusting parameters. Through this design, the remote monitoring and control system enables remote operation and monitoring of the automated testing and data analysis platform 10, allowing users to remotely adjust test parameters and obtain test results via the Internet, as well as achieve remote collaboration and resource sharing.

[0066] In some embodiments, the present invention can also realize environmental simulation and accelerated aging test functions, consisting of an intelligent temperature and humidity control system and a multispectral light source simulation system, to simulate different environmental conditions and conduct accelerated aging tests, shorten the test cycle, and predict the performance changes of cooling materials in actual use environments in advance.

[0067] A smart temperature and humidity control system simulates a high-temperature environment to test the performance changes of cooling materials under high-temperature conditions, accelerating the aging process and predicting their performance in real-world applications. This system provides a controllable high-temperature environment, supporting adjustments to the temperature range (e.g., 50°C to 150°C) and heating rate to simulate extreme high-temperature conditions the material might encounter in real-world use (e.g., high summer temperatures, industrial equipment heating). It ensures uniform temperature distribution within the test area, avoiding the impact of localized overheating or temperature gradients on test results. Employing multi-zone heating technology, it supports independent temperature control in different areas. The system monitors temperature changes within the test area in real time, ensuring accurate and stable temperature control. Temperature data is collected via a multi-dimensional sensor array 5 and transmitted to an automated testing and data analysis platform 10 for analysis. Prolonged high-temperature exposure accelerates the material's aging process, shortens the test cycle, and allows for setting aging times and automatic completion of the aging test. The intelligent temperature and humidity control system is connected to the multi-dimensional sensor array 5 to collect temperature data in real time and ensure the accuracy of temperature control; the intelligent temperature and humidity control system is connected to the automated testing and data analysis platform 10 to transmit temperature data to the data analysis unit and generate performance evaluation results; it is also connected to the remote control unit to support users to remotely adjust temperature parameters and start / stop the test.

[0068] A smart temperature and humidity control system simulates a high-humidity environment to test the performance changes of cooling materials under high humidity conditions, accelerating the aging process and predicting their performance in real-world applications. This system provides a controllable high-humidity environment, supporting adjustments to the humidity range (e.g., 30% to 95% RH) and humidification rate to simulate extreme high-humidity conditions the material might encounter in real-world use (e.g., rainy season, coastal areas). It ensures uniform humidity distribution within the test area, avoiding the influence of localized over-humidity or humidity gradients on test results. Multi-zone humidification technology allows for independent humidity control in different areas. The system monitors humidity changes in the test area in real time, ensuring accurate and stable humidity control. Humidity data is collected via a multi-dimensional sensor array 5 and transmitted to an automated testing and data analysis platform 10 for analysis. Prolonged high-humidity exposure accelerates the material's aging process, shortens the test cycle, and allows for setting aging times and automatic completion of the aging test. The intelligent temperature and humidity control system is connected to the multi-dimensional sensor array 5 to collect humidity data in real time, ensuring the accuracy of humidity control; it is also connected to the automated testing and data analysis platform 10 to transmit humidity data to the data analysis unit and generate performance evaluation results; and it is connected to the remote control unit to support users in remotely adjusting humidity parameters and starting / stopping tests.

[0069] A multispectral light source simulation system is used to simulate an ultraviolet radiation environment, testing the performance changes of cooling materials under ultraviolet irradiation, accelerating the aging process of the materials, and predicting their performance in actual use environments. The multispectral light source simulation system provides a controllable ultraviolet radiation environment and supports adjusting the ultraviolet intensity (e.g., 0.5 W / m²). 2 Up to 5W / m 2 The system simulates the ultraviolet radiation conditions that materials may encounter in actual use (such as direct sunlight, outdoor exposure, etc.) by measuring the irradiation time. It ensures uniform ultraviolet radiation distribution within the test area, avoiding the influence of excessive local intensity or radiation gradients on test results. Employing multi-zone irradiation technology, it supports independent control of ultraviolet intensity in different areas. The multispectral light source simulation system monitors changes in ultraviolet intensity within the test area in real time, ensuring the accuracy and stability of radiation control. It collects radiation data through a multi-dimensional sensor array 5 (radiation data can be collected using radiation sensors) and transmits the data to an automated testing and data analysis platform 10 for analysis. Long-term ultraviolet irradiation accelerates the aging process of materials, shortens the test cycle, and supports setting aging times for automatic completion of aging tests. The multispectral light source simulation system connects to the multi-dimensional sensor array 5 to collect radiation data in real time, ensuring the accuracy of radiation control; it connects to the automated testing and data analysis platform 10 to transmit radiation data to the data analysis unit to generate performance evaluation results; and it connects to a remote control unit, supporting users to remotely adjust radiation parameters and start / stop the test.

[0070] It is understandable that the radiation sensor can be installed either in the multi-dimensional sensor array 5 or in the intelligent temperature and humidity control system. When the radiation sensor is installed in the multi-dimensional sensor array 5, the collected radiation data is transmitted to the control unit or the light source controller 3; when the radiation sensor is installed in the intelligent temperature and humidity control system, the collected radiation data can also be transmitted to the control unit or the light source controller 3; and then the control unit or the light source controller 3 controls the magnitude of the ultraviolet radiation generated by the multispectral light source simulation system based on a preset radiation threshold.

[0071] In the environmental simulation and accelerated aging test function, the intelligent temperature and humidity control system and the multispectral light source simulation system are connected through a control unit to collaboratively simulate complex environmental conditions (such as high temperature and humidity, ultraviolet radiation, and high temperature). The multi-dimensional sensor array 5 collects temperature, humidity, and radiation data in real time and transmits the data to the automated testing and data analysis platform 10 for analysis. The automated testing and data analysis platform 10 analyzes the collected data and generates performance evaluation results and aging test reports. The remote control unit allows users to remotely adjust test parameters (such as temperature, humidity, and radiation intensity) and start / stop the test. For example, the intelligent temperature and humidity control system sets the test area temperature to 80°C, the multi-dimensional sensor array 5 collects temperature data in real time, and the automated testing and data analysis platform 10 analyzes the material's performance changes under high temperature conditions and generates a test report. Alternatively, the intelligent temperature and humidity control system sets the test area humidity to 85%RH, the multi-dimensional sensor array 5 collects humidity data in real time, and the automated testing and data analysis platform 10 analyzes the material's performance changes under high humidity conditions and generates a test report. The multispectral light source simulation system sets the ultraviolet intensity of the test area to 2W / m². 2 A multi-dimensional sensor array 5 collects radiation data in real time, and an automated testing and data analysis platform 10 analyzes the performance changes of materials under ultraviolet irradiation and generates test reports.

[0072] The temperature of a high-temperature environment can be set to, but is not limited to, 60°C; the humidity of a high-humidity environment can be set to, but is not limited to, 75%RH; and the radiation intensity of an ultraviolet radiation environment can be set to, but is not limited to, 1.5W / m². 2 A multi-dimensional sensor array 5 collects temperature, humidity, and radiation data in real time, and an automated testing and data analysis platform 10 analyzes the performance changes under complex environmental conditions and generates test reports. Through this design, the environmental simulation and accelerated aging testing functions enable performance testing of cooling materials under different environmental conditions, accelerate the aging process of materials, shorten the testing cycle, and predict performance changes in actual use environments in advance.

[0073] The intelligent indoor simulation testing device for the heat dissipation performance of cooling materials provided by this invention belongs to a multi-material parallel testing system. It consists of at least one testing unit (i.e., all components except the automated testing and data analysis platform 10) and a parallel control unit (i.e., the automated testing and data analysis platform 10). Its purpose is to simultaneously test the performance of multiple cooling materials, thereby improving testing efficiency. Each testing unit has at least four device housings 13, which can simultaneously test at least four different cooling materials. Multiple testing units are the core of the multi-material parallel testing system, with each unit responsible for independently testing one type of cooling material. By running multiple testing units simultaneously, the system can test multiple materials in parallel, significantly improving testing efficiency. Each testing unit has complete testing functions, including environmental simulation (such as high temperature, high humidity, and ultraviolet radiation), data acquisition (such as temperature and humidity), and performance evaluation, supporting independent testing of different materials and avoiding mutual interference between tests. The testing units adopt a modular design, supporting flexible expansion. The number of testing units can be increased or decreased according to testing needs. Each testing unit can be configured with different environmental conditions and testing parameters to meet the testing requirements of different materials. Each test unit is equipped with a sensor module to collect test data (such as temperature, humidity, and radiation intensity) in real time and transmit the data to the parallel control unit. It supports multiple data formats (such as JSON and CSV) to ensure data compatibility and readability. The test units support preset test plans, automatically completing the testing process, reducing manual intervention, and providing test progress monitoring functionality, displaying the real-time operating status of each test unit. Multiple test units connect to the parallel control unit to receive test commands and upload test data; connect to the sensor module to collect test data in real time; and connect to the data processing module to transmit test data to the data analysis unit to generate performance evaluation results.

[0074] The parallel control unit is the central hub of the multi-material parallel testing system, responsible for coordinating and managing the operation of multiple test units, ensuring that each test unit completes its testing tasks efficiently and stably. Based on testing requirements, the parallel control unit allocates test tasks to multiple test units, ensuring that each test unit can operate independently. It supports dynamic task scheduling, allocating tasks according to the availability and testing priority of each test unit. The parallel control unit simultaneously controls the operation of multiple test units, ensuring that each test unit performs tests under the same or different environmental conditions. It supports independent settings for the environmental conditions (such as temperature, humidity, and radiation intensity) and test parameters (such as test time and test plan) of each test unit. The parallel control unit receives test data uploaded by each test unit, integrates and classifies it, ensuring data integrity and consistency, and transmits the integrated data to the automated testing and data analysis platform 10 to generate a unified test report. The parallel control unit monitors the operating status of each test unit in real time, including test progress, environmental conditions, and equipment status, providing anomaly detection functions to promptly identify and handle abnormal situations in the test units (such as equipment failure or parameter exceeding limits). The parallel control unit supports remote management and control of multiple test units through a remote control unit, including starting / stopping tests and adjusting test parameters. The parallel control unit connects to multiple test units, assigns test tasks and receives test data; it connects to the data processing module, transmits the integrated data to the data analysis unit, and generates test reports; and it connects to the remote control unit, supporting users to remotely manage and control the test system.

[0075] The present invention provides an intelligent indoor simulation testing device for the heat dissipation performance of cooling materials, which has the following advantages: (1) Enhanced simulation: By combining the multispectral light source and the internal heat source 7, the heat generation during equipment operation and outdoor lighting conditions can be simulated more realistically; the multispectral light source can simulate the spectrum of different wavelength ranges (such as ultraviolet, visible light, infrared, etc.), while the internal heat source 7 can simulate the heat generation inside the equipment. The two work together to fully restore the actual working environment and improve the accuracy and applicability of the test. (2) High testing efficiency: The automated testing and data analysis platform 10 and multi-material parallel testing greatly improve testing efficiency. The automated testing and data analysis platform 10 can automatically control the testing process, collect data and perform real-time analysis, generate test reports, and reduce human operation errors; multi-material parallel testing supports the simultaneous testing of the performance of multiple cooling materials, improving testing efficiency.

[0076] (3) Easy to operate: Modular design and remote monitoring function make the testing process more flexible and convenient; Modular design allows for flexible combination and adjustment of test modules according to different testing needs to meet diverse testing needs; Remote monitoring and control system supports users to remotely monitor the testing process, adjust test parameters and obtain test results through the Internet, and supports remote collaboration and sharing of test resources; (4) High accuracy: The multi-dimensional sensor array 5 and intelligent algorithms improve the accuracy of data acquisition and analysis; the multi-dimensional sensor array 5 includes wireless temperature sensors, wireless humidity sensors, etc., which can monitor the performance of cooling materials in multiple dimensions and provide comprehensive performance data; intelligent algorithms and machine learning technology can automatically identify patterns and trends in test data, provide more in-depth performance analysis, and support more complex performance prediction and optimization. (5) High application value: This invention provides strong support for the selection of materials for power grid engineering construction, performance design, evaluation and life prediction of cooling materials; through indoor simulation testing, the heat dissipation performance of cooling materials can be comprehensively evaluated and life predicted quickly and efficiently, shortening the testing cycle and predicting the performance changes of cooling materials in actual use environment in advance, which helps to ensure the safe and reliable operation of the power grid. (6) High flexibility and scalability: The modular design makes the test device highly flexible and scalable. Test modules can be flexibly combined and adjusted according to different test requirements to meet diverse test needs. At the same time, the device supports future function expansion and upgrades to adapt to ever-changing test requirements. (7) Wide environmental adaptability: Through environmental simulation and accelerated aging test functions, the device can simulate different environmental conditions (such as high temperature, high humidity, ultraviolet, visible light, infrared radiation, etc.) and conduct accelerated aging tests, shorten the test cycle, and predict the performance changes of cooling materials in actual use environments in advance; this function makes the device suitable for a variety of application scenarios, such as the performance testing and evaluation of cooling materials in fields such as power equipment, building materials and industrial equipment.

[0077] Example 2 This invention also provides an intelligent indoor simulation test method for the heat dissipation performance of cooling materials, applied to the aforementioned intelligent indoor simulation test device for the heat dissipation performance of cooling materials, such as... Figure 2 As shown, it includes the following steps: Step 1: Place the cooling material to be tested on the outer surface of the equipment housing 13; Step 2: By controlling the automated testing and data analysis platform 10, the multispectral light source simulation system, the internal heat source system 7, and the intelligent temperature and humidity control system are controlled to simulate different test conditions for parallel testing of multiple materials. The multidimensional sensor array 5 is controlled to monitor relevant information of the cooling material under test, and a test report is generated based on the relevant information.

[0078] It is understandable that the same cooling material can be used on the outer surfaces of at least four device housings 13, or different types of cooling materials can be used on the outer surfaces of each device housing 13.

[0079] Further, step 2 includes: Step 21: Using the control unit in the automated testing and data analysis platform 10, control the multispectral light source simulation system by controlling the light source controller 3, control the internal heat source 7 system by controlling the light source controller 3, and control the intelligent temperature and humidity control system by controlling the wireless temperature and humidity controller 6 to simulate different test conditions for multi-material parallel testing. Step 22: Using the control unit in the automated testing and data analysis platform 10, monitor relevant information by controlling the multi-dimensional sensor array 5, and send the relevant information to the data acquisition unit; Step 23: Use the data acquisition unit to preprocess the relevant information and send the processed information to the data analysis unit; Step 24: Use the data analysis unit to perform data analysis based on the processed relevant information, obtain the data analysis results, and send the data analysis results to the report generation unit; Step 25: Using the report generation unit, automatically generate a structured test report based on the preset report format and data analysis results.

[0080] Further, step 23 includes: Step 231: Filter, denoise and calibrate the relevant information, and mark or remove abnormal data in the relevant information to obtain the processed relevant information.

[0081] Further, step 24 includes: Step 241: Calculate the key performance indicators using the processed relevant information; Step 242: Using the processed relevant information, draw a real-time curve graph; Step 243: Using the processed relevant information as input to a preset intelligent algorithm, output abnormal data and determine the abnormal cause corresponding to the abnormal data; Step 244: The key performance indicators, the real-time curves, the abnormal data, and the causes of the abnormalities are the results of the data analysis.

[0082] Furthermore, the key performance indicators include at least the following seven: average temperature, temperature change rate, heat dissipation efficiency, average pressure, pressure change rate, average humidity, and humidity change rate. The real-time curve plotting includes at least the following three types: real-time temperature curve, real-time humidity curve, and real-time pressure curve.

[0083] Furthermore, step 24 also includes: step 240: establishing the preset intelligent algorithm; Specifically, step 240 includes: Step 2401: Collect relevant historical information and historical abnormal data; Step 2402: Preprocess the relevant historical information to obtain processed relevant historical information; Step 2403: Construct a dataset using the processed historical information and the historical anomaly data, and divide the dataset into a training set and a test set; Step 2404: Train the intelligent algorithm using the training set to obtain the trained intelligent algorithm; Step 2405: Validate the trained intelligent algorithm using the test set. If the validation is successful, the trained intelligent algorithm is the preset intelligent algorithm. If the validation fails, adjust the hyperparameters of the intelligent algorithm and retrain the intelligent algorithm with the adjusted hyperparameters until the validation is successful.

[0084] For example, during the test, the cooling material to be tested is first placed on the outer surface of the cubic shell 9. This can be done by spraying or applying a coating. If it is a paint, a nano-coating or plasma treatment can be applied to the outer surface of the cubic shell 9 before spraying to improve interface compatibility. The intelligent temperature and humidity control system is activated to maintain the test chamber temperature at 20-25°C and the humidity at 40%-70%. The multispectral light source simulation system is turned on to simulate the target illumination conditions. The light source movement speed is 0-10 m / h, and the spectrum uses the AM1.5G standard solar spectrum. The internal heat source system 7 is activated, with the heating power set to 100-1000W to simulate the internal heat generation during equipment operation. The multi-dimensional sensor array 5 monitors the temperature, pressure, and humidity changes on the surface of the cooling material in real time and transmits the data to the automated testing and data analysis platform 10 for storage and analysis. The automated testing and data analysis platform 10 plots the temperature, pressure, and humidity changes over time on the sun-facing and shaded sides, as well as the average temperature difference between the sun-facing and shaded sides over time. By using intelligent algorithms and machine learning technology, the heat dissipation performance and heat dissipation effect of cooling materials are analyzed, and a test report is generated.

[0085] It is understood that the method embodiments provided above correspond to the device embodiments described above, and the specific details can be referred to each other, which will not be repeated here.

[0086] It is understood that the same or similar parts in the above embodiments can be referred to each other, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0087] Example 3 like Figure 3 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0088] The processor may be a Central Processing Unit (CPU), or it may be 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. It is the computing and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the intelligent indoor simulation test method for the heat dissipation performance of cooling materials in the above embodiments.

[0089] Example 4 Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both built-in storage media within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can realize the steps of the intelligent indoor simulation testing method for the heat dissipation performance of cooling materials described in the above embodiments.

[0090] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0092] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0093] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent indoor simulation testing device for the heat dissipation performance of cooling materials, characterized in that, include: The system comprises a housing, at least four device housings, a multispectral light source simulation system, an internal heat source system, an intelligent temperature and humidity control system, a multi-dimensional sensor array, and an automated testing and data analysis platform; each device housing is located at the bottom of the housing, and each device housing has a cooling material to be tested on its outer surface; The multispectral light source simulation system is located at the top inside the housing and is used to simulate outdoor lighting conditions. The internal heat source system includes at least four internal heat sources respectively disposed inside the device housing, used to simulate the internal heat generation during device operation; The intelligent temperature and humidity control system is located on the side inside the housing and is used to adjust the test environment inside the housing in real time. The multi-dimensional sensor array is disposed inside the housing of each device and is used to monitor relevant information of the cooling material to be tested; The automated testing and data analysis platform is located outside the housing. It is used to simulate different test conditions for parallel testing of multiple materials by controlling the multispectral light source simulation system, the internal heat source system and the intelligent temperature and humidity control system, and to monitor the relevant information by controlling the multidimensional sensor array and generate test reports based on the relevant information.

2. The apparatus according to claim 1, characterized in that, The relevant information of the cooling material to be tested includes: humidity, temperature and pressure.

3. The apparatus according to claim 1, characterized in that, The multispectral light source simulation system includes: a multispectral xenon lamp assembly, an arc-shaped slide rail, and a light source controller; The arc-shaped slide rail is located at the top of the interior of the housing; The multispectral xenon lamp assembly is positioned below the arc-shaped slide rail and is used to simulate outdoor lighting at different angles by sliding on the arc-shaped slide rail. The light source controller is located outside the housing and is connected to the multispectral xenon lamp assembly. It is used to control the heating power, illumination time, and moving speed of the multispectral xenon lamp assembly on the slide rail.

4. The apparatus according to claim 3, characterized in that, The internal heat source system also includes: a heat source controller; Each of the internal heat sources is used to simulate the internal heat generation during equipment operation; The heat source controller is connected to each internal heat source and is used to adjust the heating power of the internal heat sources.

5. The apparatus according to claim 1, characterized in that, The internal heat source is an electric heating wire, a heating plate, or a PTC heating element.

6. The apparatus according to claim 4, characterized in that, The intelligent temperature and humidity control system includes: multiple wireless temperature and humidity sensors, heating / cooling devices, humidification / dehumidification devices, and a wireless temperature and humidity controller; The wireless temperature and humidity sensor, the heating / cooling device, and the humidification / dehumidification device are respectively disposed on the side inside the housing, and the wireless temperature and humidity controller is disposed on the outside of the housing; The wireless temperature and humidity sensor is used to monitor the temperature and humidity of the test environment inside the device housing and send the temperature and humidity of the test environment to the wireless temperature and humidity controller. The wireless temperature and humidity controller is used to control the heating / cooling device or humidification / dehumidification device according to the temperature or humidity of the test environment, so as to maintain the temperature of the test environment at a preset temperature and the humidity of the test environment at a preset humidity.

7. The apparatus according to claim 6, characterized in that, The wireless temperature and humidity controller is specifically used for: When the temperature of the test environment is lower than the preset temperature, the temperature of the test environment is increased by controlling the heating / cooling device until the temperature of the test environment equals the preset temperature, at which point the operation stops. When the temperature of the test environment is higher than the preset temperature, the heating / cooling device is controlled to reduce the temperature of the test environment until the temperature of the test environment equals the preset temperature, at which point the operation stops. When the humidity of the test environment is lower than the preset humidity, the humidity of the test environment is increased by controlling the humidification / dehumidification device until the humidity of the test environment equals the preset humidity, and then the operation stops. When the humidity of the test environment is greater than the preset humidity, the humidity of the test environment is reduced by controlling the humidification / dehumidification device until the humidity of the test environment equals the preset humidity, at which point the operation stops.

8. The apparatus according to claim 1, characterized in that, The multi-dimensional sensor array includes a temperature sensor, a pressure sensor, and a humidity sensor; the temperature sensor, the pressure sensor, and the humidity sensor are respectively disposed inside the housing of each device. The temperature sensor is used to monitor the surface temperature of the material to be cooled. The pressure sensor is used to monitor the pressure on the surface of the material to be cooled. The humidity sensor is used to monitor the humidity on the surface of the cooling material to be tested; The temperature of the surface of the cooling material to be tested, the pressure of the surface of the cooling material to be tested, and the humidity of the surface of the cooling material to be tested are relevant information of the cooling material to be tested.

9. The apparatus according to claim 6, characterized in that, The automated testing and data analysis platform includes: a control unit, a data acquisition unit, a data analysis unit, and a report generation unit connected in sequence; the control unit is connected to the light source controller, the heat source controller, and the wireless temperature and humidity controller respectively. The control unit is used to control the multispectral light source simulation system by controlling the light source controller, to control the intelligent temperature and humidity control system by controlling the light source controller through the internal heat source system, and to control the intelligent temperature and humidity control system by controlling the wireless temperature and humidity controller, to simulate different test conditions for multi-material parallel testing; and to monitor the relevant information by controlling the multi-dimensional sensor array and send the relevant information to the data acquisition unit. The data acquisition unit is used to preprocess the relevant information and send the processed relevant information to the data analysis unit; The data analysis unit is used to perform data analysis based on the processed relevant information, obtain data analysis results, and send the data analysis results to the report generation unit; The report generation unit is used to automatically generate a structured test report based on a preset report format and the data analysis results.

10. The apparatus according to claim 9, characterized in that, The data acquisition unit is specifically used for: The relevant information is filtered, denoised, and calibrated, and abnormal data in the relevant information is marked or removed to obtain the processed relevant information.

11. The apparatus according to claim 9, characterized in that, The data analysis unit is specifically used for: Using the processed relevant information, key performance indicators are calculated. Using the processed relevant information, a real-time curve graph is plotted; Using the processed relevant information as input to a preset intelligent algorithm, the algorithm outputs abnormal data and determines the cause of the abnormality corresponding to the abnormal data. The key performance indicators, the real-time graphs, the abnormal data, and the causes of the abnormalities are the results of the data analysis.

12. The apparatus according to claim 11, characterized in that, The key performance indicators include at least the following seven: average temperature, temperature change rate, heat dissipation efficiency, average pressure, pressure change rate, average humidity, and humidity change rate. The real-time curve plotting includes at least the following three types: real-time temperature curve, real-time humidity curve, and real-time pressure curve.

13. The apparatus according to claim 11, characterized in that, The data analysis unit further includes: a creation module, used to create the preset intelligent algorithm; the creation module is specifically used for: The data collection submodule is used to collect relevant historical information and historical anomaly data; The processing submodule is used to preprocess the relevant historical information to obtain the processed relevant historical information; A submodule is constructed to build a dataset using the processed historical information and the historical anomaly data, and to divide the dataset into a training set and a test set. The training submodule is used to train the intelligent algorithm using the training set to obtain the trained intelligent algorithm. The verification submodule is used to verify the trained intelligent algorithm using the test set. If the verification is successful, the trained intelligent algorithm is the preset intelligent algorithm; if the verification fails, the hyperparameters of the intelligent algorithm are adjusted, and the intelligent algorithm with adjusted hyperparameters is retrained until the verification is successful.

14. The apparatus according to claim 9, characterized in that, Also includes: A remote monitoring and control system connected to the automated testing and data analysis platform; the remote monitoring and control system includes: a remote control unit and a data transmission unit; The remote control unit is used to remotely control the automated testing and data analysis platform to simulate different testing conditions, perform parallel testing of multiple materials, monitor relevant information of the cooling material under test, and generate a test report based on the relevant information. The data transmission unit is used to store and back up the relevant information of the cooling material under test, the processed relevant information, the data analysis results, and the test report.

15. An intelligent indoor simulation test method for the heat dissipation performance of cooling materials, applied to the intelligent indoor simulation test device for the heat dissipation performance of cooling materials as described in any one of claims 1-14, characterized in that, include: The cooling material to be tested is placed on the outer surface of the equipment casing; By controlling the multispectral light source simulation system, internal heat source system, and intelligent temperature and humidity control system through the automated testing and data analysis platform, different test conditions are simulated to conduct parallel testing of multiple materials. Furthermore, by controlling the multi-dimensional sensor array, relevant information of the cooling material under test is monitored, and a test report is generated based on the relevant information.

16. The method according to claim 15, characterized in that, The automated testing and data analysis platform controls a multispectral light source simulation system, an internal heat source system, and an intelligent temperature and humidity control system to simulate different testing conditions for parallel testing of multiple materials. It also controls a multi-dimensional sensor array to monitor relevant information of the cooling material under test and generates a test report based on this information, including: By utilizing the control unit in the automated testing and data analysis platform, the multispectral light source simulation system is controlled by the light source controller, the internal heat source system is controlled by the light source controller, and the intelligent temperature and humidity control system is controlled by the wireless temperature and humidity controller to simulate different test conditions for parallel testing of multiple materials. The control unit in the automated testing and data analysis platform monitors the relevant information by controlling the multi-dimensional sensor array and sends the relevant information to the data acquisition unit. The data acquisition unit performs data preprocessing on the relevant information, and then sends the processed relevant information to the data analysis unit. The data analysis unit performs data analysis based on the processed relevant information to obtain data analysis results, and sends the data analysis results to the report generation unit; The report generation unit automatically generates a structured test report based on a preset report format and the data analysis results.

17. An electronic device, characterized in that, include: At least one processor and memory; The memory and processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the intelligent indoor simulation test method for the heat dissipation performance of cooling materials as described in claim 15 or 16 is implemented.

18. A readable storage medium, characterized in that, It contains an execution program, which, when executed, implements the intelligent indoor simulation test method for the heat dissipation performance of cooling materials as described in claim 15 or 16.

Images