Low-temperature humidity control method for automobile environment test chamber

Abstract

The invention discloses a low-temperature humidity control method for an automobile environment test chamber, and relates to the technical field of monitoring analysis, and the method comprises the steps: collecting environment parameters in the chamber, obtaining a low-temperature environment data set, carrying out the environment state modeling of the automobile environment test chamber based on the low-temperature environment data set, and constructing a temperature and humidity distribution model. According to the temperature and humidity distribution model, performing moisture migration path analysis in a low-temperature environment to obtain a condensation risk distribution map, and performing dynamic humidity compensation calculation on the condensation risk distribution map in combination with preset test working condition parameters to generate a humidity regulation and control instruction set; executing the humidity regulation and control instruction set, carrying out zoned humidity control processing on the automobile environment test chamber, obtaining temperature and humidity feedback data corresponding to each zone of the automobile environment test chamber in real time, carrying out dynamic correction on the temperature and humidity distribution model, generating an environment regulation and control optimization model, and deploying the environment regulation and control optimization model to an automobile environment test chamber control terminal. The low-temperature humidity control device has the effect of improving the low-temperature humidity control efficiency of the automobile environment test chamber.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of monitoring analysis, in particular to a low-temperature humidity control method for a vehicle environmental test chamber. BACKGROUND

[0002] A vehicle environmental test chamber is a key device for simulating extreme climate environments in the research and development and quality inspection of vehicles. Its core function is to test the performance stability of vehicle parts under extreme conditions such as low temperature, such as the cold resistance of rubber seals and the low-temperature working reliability of electronic components, by precisely controlling parameters such as temperature, humidity, and air pressure in the chamber. In low-temperature environmental testing, the accuracy of humidity control directly affects the effectiveness of test results: when the humidity is too high, condensation is likely to occur on the metal parts of the vehicle, leading to rust or circuit short circuits; when the humidity is too low, it may cause the plastic parts to become brittle, affecting the authenticity of the test data.

[0003] In related technologies, existing humidity control strategies often use overall environmental parameter adjustment, ignoring the spatial partition differences caused by the vehicle structure. For example, due to differences in component materials and heat dissipation characteristics, the water migration path and condensation risk in areas such as the engine compartment and the driver's cabin are significantly different. Overall control can easily cause the humidity in local areas to deviate from the target range, leading to unintended condensation or excessive drying, which in turn affects the accuracy of low-temperature performance testing of vehicle parts, thereby reducing the low-temperature humidity control efficiency of the vehicle environmental test chamber, and there is room for improvement. SUMMARY

[0004] To address the deficiencies of the prior art, the present application provides a low-temperature humidity control method for a vehicle environmental test chamber.

[0005] In a first aspect, the present application provides a low-temperature humidity control method for a vehicle environmental test chamber, comprising the following steps: Step S1: Collecting environmental parameters in the chamber by environmental sensors arranged in the vehicle environmental test chamber to obtain a low-temperature environmental data set, modeling the environmental state of the vehicle environmental test chamber based on the low-temperature environmental data set, and constructing a temperature and humidity distribution model; Step S2: Analyzing the water migration path under low-temperature environment according to the temperature and humidity distribution model, obtaining a condensation risk distribution map based on the analysis results, and performing dynamic humidity compensation calculation on the condensation risk distribution map combined with preset test condition parameters to generate a humidity control instruction set; Step S3: Executing the humidity control instruction set using a hierarchical closed-loop control strategy, and performing partitioned humidity control processing on the vehicle environmental test chamber by a distributed temperature and humidity adjustment device to obtain real-time temperature and humidity feedback data corresponding to each partition of the vehicle environmental test chamber; Step S4: dynamically correcting the temperature and humidity distribution model based on the temperature and humidity feedback data, generating an environment regulation optimization model, deploying the environment regulation optimization model to the automobile environment test chamber control terminal, and realizing precise and collaborative control of temperature and humidity in a low-temperature environment.

[0006] Preferably, the step S1 comprises the following steps: The environmental sensors arranged in each region of the automobile environment test chamber collect the chamber environment parameters, including temperature value, relative humidity value, air flow speed value, and wall surface temperature value corresponding to each region in the chamber, and then the original low-temperature environment data is obtained based on the chamber environment parameters; The original low-temperature environment data is subjected to outlier rejection and spatio-temporal consistency calibration, and then the calibrated low-temperature environment data set is obtained. According to the low-temperature environment data set, a spatial interpolation algorithm is used to deduce the temperature and humidity values of the regions in the automobile environment test chamber where no environmental sensors are arranged, and a three-dimensional grid model is constructed in combination with the chamber structure parameters, the results of temperature and humidity value deduction are mapped into the three-dimensional grid model, and a temperature and humidity distribution model is obtained.

[0007] Preferably, the step S2 comprises the following steps: According to the temperature and humidity distribution model, the temperature gradient direction data and the humidity gradient direction data corresponding to different regions in the chamber are extracted, based on the coupling relationship between the temperature gradient direction data and the humidity gradient direction data, the migration path of water in the low-temperature environment between the air in the automobile environment chamber, the surface of the automobile and the wall of the chamber is analyzed, and then the water migration path data is obtained; Based on the water migration path data, and in combination with the critical condensation temperature of the automobile parts material, the condensation risk level corresponding to each region is marked on the temperature and humidity distribution model, a condensation risk distribution map is generated, and the condensation risk distribution map includes no-risk area, low-risk area, medium-risk area and high-risk area; The preset test condition parameters are obtained, including target low-temperature value, target humidity range, test duration and temperature change rate, according to the condensation risk level of each region in the condensation risk distribution map, in combination with the deviation value of the target humidity range and the current humidity in the test condition parameters, the required humidity compensation amount of each region is calculated, and the order and rate of humidity compensation are determined according to the water migration path data, and a humidity regulation instruction set is generated.

[0008] Preferably, the step of obtaining the water migration path data comprises: The temperature and humidity distribution model is subjected to spatial discretization processing, the space in the automobile environment test chamber is divided into a plurality of micro-bodies, and the temperature value, humidity value and spatial coordinates corresponding to each micro-body are extracted; Calculate the temperature difference and humidity difference between adjacent microelements, determine the heat transfer direction based on the temperature difference, determine the moisture diffusion direction based on the humidity difference, and combine the air flow velocity value at the location of the microelement to correct the moisture migration rate parameter; Real-time acquisition of the humidity change of each microelement in a predetermined time interval, analysis of the transfer rule of moisture between different microelements, determination of the main path of moisture migration from high humidity area to low humidity area, the secondary path of moisture migration from high temperature area to low temperature area, and the local retention path caused by the adsorption characteristics of the surface material of the automobile, and then the moisture migration path data is integrated.

[0009] Preferably, the step S3 comprises the following steps: The hierarchical closed-loop control strategy is divided into a primary control unit and a secondary control unit. The primary control unit takes the high-risk area in the condensation risk distribution map as the core of regulation and control, and sets the global humidity regulation target. The secondary control unit corrects the primary control target locally based on the temperature and humidity feedback data of each partition. According to the humidity regulation instruction set, control the distributed temperature and humidity adjusting device to execute the regulation and control action, and through the environmental sensors arranged in each partition, real-time acquisition of temperature and humidity feedback data is realized, and noise reduction processing is performed on the temperature and humidity feedback data, and then the corresponding temperature and humidity feedback data of each partition after noise reduction processing is obtained. The temperature and humidity feedback data includes the real-time temperature value, real-time humidity value and temperature and humidity change rate of each partition.

[0010] Preferably, the hierarchical closed-loop control strategy is divided into a primary control unit and a secondary control unit, which specifically includes: The primary control unit receives the condensation risk distribution map, identifies the spatial range and current humidity value corresponding to the high-risk area, and combines the target humidity range in the test working condition parameters to calculate the global humidity regulation deviation and set the primary regulation instruction. The secondary control unit divides the automobile environmental test chamber into multiple partitions, and each partition corresponds to a temperature and humidity adjusting device. The secondary control unit receives the temperature and humidity feedback data corresponding to each partition, compares the real-time humidity value of each partition with the humidity deviation of the primary control target, and if the humidity deviation of the partition exceeds the preset humidity deviation threshold, a local correction instruction is generated for the partition, and the local correction instruction is fed back to the primary control unit, thereby realizing the closed-loop linkage of primary and secondary control.

[0011] Preferably, the step S4 comprises the following steps: Compare the temperature and humidity feedback data of each partition with the temperature and humidity distribution model, calculate the temperature and humidity deviation value of each partition, and analyze the error source of the temperature and humidity distribution model based on the temperature and humidity deviation value; The error source of the temperature and humidity distribution model is dynamically corrected to obtain an optimized temperature and humidity distribution model; The optimized temperature and humidity distribution model is integrated with a humidity control instruction set to construct an environment control optimization model, and the environment control optimization model is deployed to a vehicle environment test chamber control terminal. The environment control optimization model can automatically adjust control parameters according to changes in test conditions.

[0012] Preferably, after the environment control optimization model is deployed to the vehicle environment test chamber control terminal, the method further comprises: After the environment control optimization model is deployed to the vehicle environment test chamber control terminal, a test run is performed to verify the humidity control effect under different test conditions, and the corresponding control response time, temperature and humidity control accuracy and condensation inhibition evaluation coefficient of the environment control optimization model are recorded; According to the control response time, temperature and humidity control accuracy and condensation inhibition evaluation coefficient of the environment control optimization model, a comprehensive humidity control evaluation coefficient is confirmed, and the control parameters in the environment control optimization model are adjusted based on the comprehensive humidity control evaluation coefficient.

[0013] In a second aspect, the application provides a low-temperature humidity control system for a vehicle environment test chamber, comprising: A data acquisition module is configured to acquire environmental parameters in the chamber by an environmental sensor arranged in the vehicle environment test chamber to obtain a low-temperature environmental data set, and to model the environmental state of the vehicle environment test chamber based on the low-temperature environmental data set to construct a temperature and humidity distribution model; An instruction generation module is configured to analyze the moisture migration path under a low-temperature environment based on the temperature and humidity distribution model, to obtain a condensation risk distribution map based on the analysis result, and to perform dynamic humidity compensation calculation on the condensation risk distribution map in combination with preset test condition parameters to generate a humidity control instruction set; An execution processing module is configured to execute the humidity control instruction set using a hierarchical closed-loop control strategy, to perform zoned humidity control processing on the vehicle environment test chamber by a distributed temperature and humidity adjusting device, and to acquire temperature and humidity feedback data corresponding to each zone of the vehicle environment test chamber in real time; An optimization module is configured to dynamically correct the temperature and humidity distribution model based on the temperature and humidity feedback data to generate an environment control optimization model, to deploy the environment control optimization model to a vehicle environment test chamber control terminal, and to realize accurate temperature and humidity collaborative control under a low-temperature environment.

[0014] In a third aspect, the application provides a computer-readable storage medium storing instructions, which, when executed on a computer, cause the computer to perform the low-temperature humidity control method for a vehicle environment test chamber.

[0015] In summary, the application has the following beneficial technical effects: The application provides a low-temperature humidity control method for a vehicle environment test cabin. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed for the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0017] Figure 1 FIG. 1 is a flowchart of a low-temperature humidity control method for a vehicle environment test cabin according to an embodiment of the present application.

[0018] Figure 2 FIG. 2 is a schematic diagram of a system for low-temperature humidity control of a vehicle environment test cabin according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] The following will be described in detail with reference to the accompanying drawings. Figures 1-2 The present application will be further described in detail.

[0020] Embodiment 1 The embodiment of the present application discloses a low-temperature humidity control method for a vehicle environment test cabin.

[0021] Referring to Figure 1 A low-temperature humidity control method for a vehicle environment test cabin, comprising the following steps: Step S1: collecting the cabin environment parameters by the environmental sensors arranged in the vehicle environment test cabin, obtaining a low-temperature environment data set, and modeling the environment state of the vehicle environment test cabin based on the low-temperature environment data set to construct a temperature and humidity distribution model; Step S2: According to the temperature and humidity distribution model, the moisture migration path in the low temperature environment is analyzed, the condensation risk distribution map is obtained based on the analysis result, and the dynamic humidity compensation calculation is performed on the condensation risk distribution map combined with the preset test working condition parameters, and the humidity control instruction set is generated; Step S3: The hierarchical closed-loop control strategy is adopted to execute the humidity control instruction set, and the distributed temperature and humidity adjusting device is used for partitioned humidity control of the automobile environmental test chamber, and the temperature and humidity feedback data of each partition of the automobile environmental test chamber is obtained in real time; Step S4: Based on the temperature and humidity feedback data, the temperature and humidity distribution model is dynamically corrected, and the environmental control optimization model is generated, which is deployed to the automobile environmental test chamber control terminal to realize the precise collaborative control of temperature and humidity in the low temperature environment.

[0022] It should be noted that the step S1 includes the following steps: The environmental sensors arranged in each region of the automobile environmental test chamber collect the chamber environment parameters, including temperature value, relative humidity value, air flow speed value and wall surface temperature value corresponding to each region in the chamber, and then the original low temperature environment data is obtained based on the chamber environment parameters; The original low temperature environment data is subjected to outlier rejection and spatio-temporal consistency calibration, and then the calibrated low temperature environment data set is obtained; According to the low temperature environment data set, the temperature and humidity values of the regions in the automobile environmental test chamber without arranging environmental sensors are deduced by using a spatial interpolation algorithm, and a three-dimensional grid model is constructed combined with the cabin structure parameters including cabin size, cabin partition position and automobile parking area boundary, and the results of temperature and humidity value deduction are mapped into the three-dimensional grid model to obtain the temperature and humidity distribution model. The three-dimensional temperature and humidity distribution model can reflect the dynamic change state of temperature and humidity of different spatial coordinate points in the chamber in real time.

[0023] Specifically, by arranging environmental sensors in different areas (such as the top of the engine compartment, the vicinity of the instrument panel of the driver's cabin, the corners of the cabin body, etc.) in the automobile environmental test chamber, the temperature value, relative humidity value, air flow speed value and wall surface temperature value of the corresponding area are synchronously collected. For example, a temperature sensor is installed inside the front windshield of the automobile to obtain the glass wall surface temperature, and an air flow sensor is installed at the ventilation opening at the bottom of the cabin body to record the air flow speed. Thus, the original low-temperature environmental data is formed by aggregation. The original low-temperature environmental data is subjected to outlier removal. For example, the jumping data caused by instantaneous sensor failure is identified and removed. At the same time, the data at different collection times is subjected to time axis alignment based on the spatial coordinates of each environmental sensor, so as to ensure the space-time consistency of the data of each area at the same time node, and obtain the calibrated low-temperature environmental data set. The Kriging interpolation algorithm is used to deduce the temperature and humidity values of the areas where no environmental sensors are arranged. A three-dimensional grid model is constructed in combination with the cabin structure parameters. The deduced temperature and humidity values are mapped to the three-dimensional grid model, and finally a three-dimensional temperature and humidity distribution model is formed.

[0024] By using the above technical solution, the spatial differences of the environmental parameters in the cabin can be fully captured through multi-area distributed sensing collection, the local data limitations caused by a single sensor can be avoided, and the outliers can be removed and space-time calibrated, thereby improving the data reliability and providing high-quality input for subsequent modeling. Through the spatial interpolation algorithm combined with the three-dimensional modeling of the structure parameters, the three-dimensional distribution characteristics of the temperature and humidity in the cabin can be accurately restored, accurate spatial data support is provided for subsequent water migration analysis and condensation risk assessment, and the pertinence and effectiveness of low-temperature humidity control are improved.

[0025] It should be noted that the step S2 includes the following steps: According to the temperature and humidity distribution model, temperature gradient direction data and humidity gradient direction data corresponding to different areas in the cabin are extracted. Based on the coupling relationship between the temperature gradient direction data and the humidity gradient direction data, the migration path of water in the low-temperature environment between the air in the automobile environmental chamber, the surface of the automobile and the wall surface of the cabin is analyzed, and water migration path data is obtained. Based on the water migration path data and in combination with the critical condensation temperature of the automobile parts material, the condensation risk level corresponding to each area is marked on the temperature and humidity distribution model, and a condensation risk distribution map is generated. The condensation risk distribution map includes a no-risk area, a low-risk area, a medium-risk area and a high-risk area. The critical condensation temperature of the automobile parts material represents the temperature threshold at which different materials begin to condense under a certain humidity. The condensation risk level corresponding to each area is divided into no risk, low risk, medium risk and high risk. The preset test working condition parameters include a target low temperature value, a target humidity range, a test duration, and a temperature change rate. According to the condensation risk level of each region in the condensation risk distribution map, in combination with the deviation value of the target humidity range and the current humidity in the test working condition parameters, the humidity compensation amount required by each region is calculated, and the order and rate of humidity compensation are determined according to the water migration path data to generate a humidity control instruction set. The humidity control instruction set includes the control target value, execution time, and cooperative control logic of each subregion.

[0026] Specifically, the temperature gradient direction and the humidity gradient direction of different regions are extracted from the temperature and humidity distribution model. By analyzing the coupling relationship of the temperature gradient direction and the humidity gradient direction (such as the overlap degree of the low-temperature region and the high-humidity region), the water migration path is tracked in the air, the surface of the vehicle, and the cabin wall. For example, the main path of water gathering from the cabin humidifier to the surface of the vehicle glass is identified, and the local retention path formed by the adsorption of metal components is identified. The water migration path data is summarized, and the critical condensation temperature of the vehicle parts material (such as the critical condensation temperature of the plastic parts is 5℃, and the critical condensation temperature of the metal parts is 3℃) is marked on the temperature and humidity distribution model. For example, when the temperature of a certain region is lower than the critical value of the metal component and the humidity is higher than 60%, it is marked as a high-risk region. When the temperature is close to the critical value but the humidity is lower than 40%, it is marked as a low-risk region, forming a condensation risk distribution map. The preset test working condition parameters (such as a target low temperature of -10℃, a humidity of 40%-50%, and a duration of 2 hours) are obtained. The deviation of the current humidity of each region from the target range (such as the humidity of the high-risk region is 70%, and the humidity needs to be reduced by 30%) is calculated. The control order is determined in combination with the water migration path (high-risk regions are processed first, and the control starts from the source according to the water migration direction), and the humidity control instruction set is generated.

[0027] By coupling the analysis of the temperature and humidity gradient, the water migration rule is accurately captured, the omission of local condensation risk in the traditional method is avoided, and the risk level is marked based on the critical condensation temperature of the material, making the control more targeted and reducing the rust caused by condensation. In combination with the test working condition deviation and the migration path, the instruction set is generated to ensure that the order and rate of the control match the water flow rule, avoid humidity fluctuations caused by blind operation in the cabin, and improve the accuracy and cooperativeness of the temperature and humidity control in the low-temperature environment test.

[0028] Further, the step of obtaining the water migration path data specifically includes: The temperature and humidity distribution model is subjected to spatial discretization processing, the space in the vehicle environmental test chamber is divided into a plurality of micro-bodies, and the temperature value, humidity value, and spatial coordinates corresponding to each micro-body are extracted. Calculate the temperature difference and humidity difference between adjacent microelements, determine the heat transfer direction based on the temperature difference, determine the moisture diffusion direction based on the humidity difference, and combine the air flow velocity value at the location of the microelement to correct the moisture migration rate parameter; Real-time acquisition of the humidity change of each microelement in a predetermined time interval, analysis of the transfer rule of moisture between different microelements, determination of the main path of moisture migration from high humidity area to low humidity area, the secondary path of moisture migration from high temperature area to low temperature area, and the local retention path caused by the adsorption characteristics of the surface material of the automobile, and then integrate the moisture migration path data.

[0029] For example, the temperature and humidity distribution model is spatially discretized, the automobile environmental test chamber is divided into a plurality of microelements, the temperature value, humidity value and spatial coordinates of each microelement are extracted, the temperature difference and humidity difference of adjacent microelements are calculated, the heat transfer direction is determined based on the temperature difference (from high temperature to low temperature area), the moisture diffusion direction is determined based on the humidity difference (from high humidity to low humidity area), and the moisture migration rate parameter is corrected in combination with the air flow velocity value at the location of the microelement, and then the humidity change of each microelement is collected in real time, and the main path of moisture migration from the humidifier to the automobile glass, the secondary path from the instrument panel to the seat, and the retention path formed by the air flow stagnation in the corner of the chamber body are analyzed, and then integrated into the moisture migration path data.

[0030] It should be noted that the step S3 includes the following steps: The hierarchical closed-loop control strategy is divided into a primary control unit and a secondary control unit, the primary control unit takes the high-risk area in the condensation risk distribution map as the core of regulation and control, and sets the global humidity regulation target; the secondary control unit corrects the primary control target locally based on the temperature and humidity feedback data of each partition; According to the humidity regulation instruction set, control the distributed temperature and humidity adjusting device to execute the regulation and control action, and collect the temperature and humidity feedback data through the environmental sensors arranged in each partition in real time, and carry out noise reduction processing on the temperature and humidity feedback data, and then obtain the temperature and humidity feedback data of each partition after noise reduction processing, the temperature and humidity feedback data includes the real-time temperature value, real-time humidity value and temperature and humidity change rate of each partition.

[0031] The distributed temperature and humidity adjusting device includes a high-pressure micro-fog humidifier arranged at the top of the chamber body, a local dehumidifier installed around the automobile, and a circulating fan distributed at different positions in the chamber. The humidifier is used to increase the humidity of the low humidity area, the dehumidifier is used to reduce the humidity of the high-risk area, and the circulating fan is used to promote the air flow in the chamber to balance the humidity distribution.

[0032] Further, the hierarchical closed-loop control strategy is divided into a primary control unit and a secondary control unit, specifically including: The main control unit receives the condensation risk distribution map, identifies the spatial range corresponding to the high-risk area and the current humidity value, and combines the target humidity range in the test working condition parameters to calculate the global humidity regulation deviation and set the main regulation instruction; The secondary control unit divides the automobile environmental test chamber into multiple partitions, and each partition corresponds to a temperature and humidity adjusting device. The secondary control unit receives the temperature and humidity feedback data corresponding to each partition, compares the real-time humidity values of each partition with the humidity deviation of the main control target, and if the humidity deviation corresponding to the partition exceeds the preset humidity deviation threshold, generates a local correction instruction for the partition and feeds the local correction instruction back to the main control unit, thereby realizing closed-loop linkage of the main and secondary controls.

[0033] Among them, the automobile environmental test chamber is divided into multiple partitions including an engine compartment partition, a driver's cabin partition, a trunk partition, and a cabin body idle partition. The local correction instruction includes adjusting the spray amount of the partition humidifier, the operating power of the dehumidifier, or the speed of the fan.

[0034] It should be noted that the step S4 includes the following steps: The temperature and humidity feedback data corresponding to each partition are compared with the temperature and humidity distribution model to calculate the temperature and humidity deviation value corresponding to each partition, and the error source of the temperature and humidity distribution model is analyzed based on the temperature and humidity deviation value; The error source of the temperature and humidity distribution model is dynamically corrected to obtain an optimized temperature and humidity distribution model; The optimized temperature and humidity distribution model is integrated with the humidity regulation instruction set to construct an environmental regulation optimization model, and the environmental regulation optimization model is deployed to the automobile environmental test chamber control terminal. The environmental regulation optimization model can automatically adjust the control parameters according to the changes in the test working conditions.

[0035] Specifically, the temperature and humidity feedback data of each partition are compared with the temperature and humidity distribution model (e.g., the real-time humidity of the driver's cabin is 58%, and the model predicted value is 52%), the deviation value (the humidity deviation of the driver's cabin is 6%) is calculated, and the error source is analyzed: if the deviation is mainly due to inaccurate prediction of the water migration path, the water migration rate parameter in the temperature and humidity distribution model is corrected; if the deviation is mainly due to measurement error of the environmental sensor, the input data of the temperature and humidity distribution model is calibrated, and an optimized temperature and humidity distribution model is obtained. The optimized temperature and humidity distribution model is integrated with the humidity regulation instruction set to construct an environmental regulation optimization model and deployed to the control terminal.

[0036] Further, after the environmental regulation optimization model is deployed to the automobile environmental test chamber control terminal, it further includes: After the environmental regulation optimization model is deployed on the automobile environment test chamber control terminal, test running verification is carried out, the humidity control effect under different test working conditions is simulated, and the regulation response time, the temperature and humidity control precision and the condensation inhibition evaluation coefficient corresponding to the environmental regulation optimization model are recorded. According to the regulation response time, the temperature and humidity control precision and the condensation inhibition evaluation coefficient corresponding to the environmental regulation optimization model, the comprehensive humidity control evaluation coefficient is confirmed, and the control parameters in the environmental regulation optimization model are adjusted based on the comprehensive humidity control evaluation coefficient.

[0037] Specifically, after the environmental regulation optimization model is deployed on the automobile environment test chamber control terminal, test running verification is carried out, a plurality of typical test working conditions are simulated, under each working condition, the environmental regulation optimization model is started by the automobile environment test chamber control terminal, the regulation response time, the temperature and humidity control precision and the condensation inhibition evaluation coefficient (the condensation area proportion on the surface of the metal part is counted through image recognition) are recorded, the comprehensive humidity control evaluation coefficient is calculated according to the above indexes, for example, if the response time weight is 30%, the control precision weight is 40%, and the condensation inhibition weight is 30%, and the scores of the three items under a certain working condition are 90 points, 85 points and 95 points respectively, the comprehensive humidity control evaluation coefficient is 89 points, if the comprehensive humidity control evaluation coefficient is lower than the preset threshold (such as 85 points), the control parameters of the environmental regulation optimization model are adjusted accordingly: if the response time is too long, the communication interval of the primary and secondary control units is shortened; if the control precision is insufficient, the humidity compensation amount calculation logic is optimized; and if the condensation inhibition effect is poor, the initial power of the dehumidifier in the high-risk area is increased.

[0038] Embodiment 2 The embodiment of the application further discloses a low-temperature humidity control system of an automobile environment test chamber.

[0039] Reference Figure 2 The low-temperature humidity control system of the automobile environment test chamber comprises: A data acquisition module is configured to acquire environmental parameters in the chamber by environmental sensors arranged in the automobile environment test chamber, obtain a low-temperature environmental data set, model the environmental state of the automobile environment test chamber based on the low-temperature environmental data set, and construct a temperature and humidity distribution model. An instruction generation module is configured to analyze the moisture migration path under the low-temperature environment according to the temperature and humidity distribution model, obtain a condensation risk distribution map based on the analysis result, perform dynamic humidity compensation calculation on the condensation risk distribution map in combination with preset test working condition parameters, and generate a humidity regulation instruction set. An execution processing module is configured to execute the humidity regulation instruction set by using a hierarchical closed-loop control strategy, perform zoned humidity control processing on the automobile environment test chamber by a distributed temperature and humidity adjusting device, and acquire temperature and humidity feedback data corresponding to each zone of the automobile environment test chamber in real time. An optimization module is used for dynamically correcting the temperature and humidity distribution model based on the temperature and humidity feedback data, generating an environment regulation optimization model, deploying the environment regulation optimization model to a vehicle environment test chamber control terminal, and realizing precise and collaborative control of temperature and humidity in a low-temperature environment.

[0040] The above is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as the concept of the present application is not deviated, which shall belong to the protection scope of the present application.

[0041] In the description of the present specification, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are contained in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0042] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details and limit the present application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the present specification. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and utilize the present application.

Claims

1. A low-temperature humidity control method for an automobile environmental test chamber, characterized in that: The following steps are involved: Step S1: collecting cabin environmental parameters through environmental sensors arranged in the automobile environmental test cabin to obtain a low-temperature environmental data set, modeling the environmental state of the automobile environmental test cabin based on the low-temperature environmental data set, and constructing a temperature and humidity distribution model; Step S2: Analyze the moisture migration path in a low-temperature environment based on the temperature and humidity distribution model, obtain a condensation risk distribution map based on the analysis results, and perform dynamic humidity compensation calculation on the condensation risk distribution map in combination with preset test condition parameters to generate a humidity control instruction set; Step S3: Executing the humidity control instruction set using a hierarchical closed-loop control strategy, performing zone-by-zone humidity control on the automobile environmental test chamber through a distributed temperature and humidity adjustment device, and obtaining temperature and humidity feedback data corresponding to each zone of the automobile environmental test chamber in real time; Step S4: Dynamically correct the temperature and humidity distribution model based on the temperature and humidity feedback data to generate an environmental control optimization model, and deploy the environmental control optimization model to the automobile environmental test chamber control terminal to achieve precise coordinated control of temperature and humidity in a low-temperature environment.

2. The low-temperature humidity control method for an automobile environmental test chamber according to claim 1, characterized in that: The step S1 comprises the following steps: Environmental sensors arranged in various areas of the vehicle environmental test chamber collect cabin environmental parameters, including temperature, relative humidity, airflow velocity, and wall temperature corresponding to each area of ​​the cabin, and then obtain raw low-temperature environmental data based on the cabin environmental parameters; The original low-temperature environmental data is subjected to outlier removal and spatiotemporal consistency calibration to obtain a calibrated low-temperature environmental dataset. Based on the low-temperature environmental dataset, a spatial interpolation algorithm is used to deduce the temperature and humidity values ​​of the area without environmental sensors in the automotive environmental test chamber. A three-dimensional grid model is constructed in combination with the cabin structural parameters. The results of the temperature and humidity value deduction are mapped to the three-dimensional grid model to obtain the temperature and humidity distribution model.

3. The low-temperature humidity control method for an automobile environmental test chamber according to claim 1, characterized in that: The step S2 comprises the following steps: The temperature and humidity gradient direction data corresponding to different areas in the cabin are extracted based on the temperature and humidity distribution model. Based on the coupling relationship between the temperature and humidity gradient direction data, the migration path of moisture between the air in the vehicle environmental chamber, the vehicle surface, and the cabin wall in a low-temperature environment is analyzed, thereby obtaining the moisture migration path data. Based on the moisture migration path data and combined with the critical condensation temperature of the automotive component material, the condensation risk level corresponding to each area is marked on the temperature and humidity distribution model to generate a condensation risk distribution map. The condensation risk distribution map includes no-risk areas, low-risk areas, medium-risk areas, and high-risk areas. Obtain preset test operating condition parameters, which include a target low temperature value, a target humidity range, a test duration, and a temperature change rate. Calculate the required humidity compensation for each area based on the condensation risk level of each area in the condensation risk distribution map and the deviation between the target humidity range and the current humidity in the test operating condition parameters. Determine the order and rate of humidity compensation based on the moisture migration path data to generate a humidity control instruction set.

4. A low temperature humidity control method for an automobile environmental test chamber according to claim 3, characterized in that: The steps to obtain water migration path data include: The temperature and humidity distribution model is spatially discretized, the space inside the vehicle environmental test chamber is divided into multiple micro-elements, and the temperature value, humidity value and spatial coordinates corresponding to each micro-element are extracted; Calculate the temperature and humidity differences between adjacent micro-elements, determine the heat transfer direction based on the temperature difference, determine the moisture diffusion direction based on the humidity difference, and correct the moisture migration rate parameter based on the airflow velocity value at the location of the micro-element; The humidity change of each microelement within a preset time interval is collected in real time, and the transfer pattern of moisture between different microelements is analyzed. The main path of moisture migration from high humidity areas to low humidity areas, the secondary path of moisture migration from high temperature areas to low temperature areas, and the local retention path caused by the adsorption characteristics of the vehicle surface material are determined, and then the moisture migration path data is integrated.

5. The low temperature humidity control method for an automobile environmental test chamber according to claim 1, characterized in that: The step S3 comprises the following steps: The hierarchical closed-loop control strategy is divided into a primary control unit and a secondary control unit. The primary control unit uses the high-risk areas in the condensation risk distribution map as the control core and sets the global humidity control target. The secondary control unit uses the temperature and humidity feedback data of each zone as the basis to make local corrections to the primary control target. According to the humidity control instruction set, the distributed temperature and humidity adjustment device is controlled to perform the control action, and the temperature and humidity feedback data are collected in real time through the environmental sensors arranged in each partition, and the temperature and humidity feedback data are subjected to noise reduction processing, so as to obtain the temperature and humidity feedback data corresponding to each partition after noise reduction processing. The temperature and humidity feedback data includes the real-time temperature value, real-time humidity value and temperature and humidity change rate corresponding to each partition.

6. A low temperature humidity control method for an automobile environmental test chamber according to claim 5, characterized in that: The hierarchical closed-loop control strategy is divided into primary control unit and secondary control unit, including: The main control unit receives the condensation risk distribution map, identifies the spatial range and current humidity value corresponding to the high-risk area, and calculates the global humidity control deviation based on the target humidity range in the test condition parameters to set the main control instructions; The secondary control unit divides the automobile environmental test chamber into multiple partitions, and each partition corresponds to a temperature and humidity adjustment device one by one. The secondary control unit receives the temperature and humidity feedback data corresponding to each partition, compares the real-time humidity value of each partition with the humidity deviation of the primary control target, and if the humidity deviation corresponding to a partition exceeds the preset humidity deviation threshold, a local correction instruction is generated for the partition, and the local correction instruction is fed back to the primary control unit, thereby realizing the closed-loop linkage of the primary and secondary control.

7. The low-temperature humidity control method for an automobile environmental test chamber according to claim 1, characterized in that: The step S4 comprises the following steps: Compare the temperature and humidity feedback data corresponding to each partition with the temperature and humidity distribution model, calculate the temperature and humidity deviation value corresponding to each partition, and analyze the error source of the temperature and humidity distribution model based on the temperature and humidity deviation value; Dynamically correct the error sources of the temperature and humidity distribution model to obtain the optimized temperature and humidity distribution model; The optimized temperature and humidity distribution model is integrated with the humidity control instruction set to construct an environmental control optimization model, which is then deployed to the automobile environmental test chamber control terminal. The environmental control optimization model can automatically adjust the control parameters according to changes in the test conditions.

8. The low-temperature humidity control method for an automobile environmental test chamber according to claim 7, characterized in that: After deploying the environmental control optimization model to the vehicle environmental test chamber control terminal, the following steps are also included: After deploying the environmental control optimization model at the control terminal of the automotive environmental test chamber, a trial run was conducted to simulate the humidity control effect under different test conditions. The control response time, temperature and humidity control accuracy, and condensation suppression evaluation coefficient corresponding to the environmental control optimization model were recorded. According to the control response time, temperature and humidity control accuracy and condensation suppression evaluation coefficient corresponding to the environmental control optimization model, the comprehensive humidity control evaluation coefficient is determined, and the control parameters in the environmental control optimization model are adjusted based on the comprehensive humidity control evaluation coefficient.

9. A low-temperature humidity control system for an automobile environmental test chamber, applied to a low-temperature humidity control method for an automobile environmental test chamber according to any one of claims 1 to 8, characterized in that: include: A data acquisition module is used to collect cabin environmental parameters through environmental sensors arranged in the automobile environmental test cabin to obtain a low-temperature environmental data set, model the environmental state of the automobile environmental test cabin based on the low-temperature environmental data set, and construct a temperature and humidity distribution model; The instruction generation module is used to analyze the moisture migration path in a low-temperature environment based on the temperature and humidity distribution model, obtain a condensation risk distribution map based on the analysis results, and perform dynamic humidity compensation calculations on the condensation risk distribution map in combination with preset test condition parameters to generate a humidity control instruction set; An execution processing module is used to execute the humidity control instruction set using a hierarchical closed-loop control strategy, perform zoned humidity control on the automobile environmental test chamber through a distributed temperature and humidity adjustment device, and obtain temperature and humidity feedback data corresponding to each zone of the automobile environmental test chamber in real time; The optimization module is used to dynamically correct the temperature and humidity distribution model based on temperature and humidity feedback data, generate an environmental control optimization model, and deploy the environmental control optimization model to the vehicle environmental test chamber control terminal to achieve precise coordinated control of temperature and humidity in low-temperature environments.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the low-temperature humidity control method for an automobile environmental test chamber according to any one of claims 1 to 8.

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