Inspection and measurement method of environment test bin dry and wet bulb temperature and humidity inspection recorder

Abstract

The invention provides a routing inspection measurement method of a dry and wet bulb temperature and humidity routing inspection recorder for an environmental test bin. The method comprises the following steps: dividing the internal space of the environmental test bin into M longitudinal slice spaces and N horizontal slice areas, and arranging Q groups of dry and wet bulb temperature sensing device groups in each MiNj area to collect and convert dry bulb temperature values and wet bulb temperature values, the motion trail of a measuring point of each dry-wet bulb temperature sensing device group is annular; the first-level dry bulb temperature and the first-level wet bulb humidity of a plurality of detection points in the annular motion trail area are collected and transmitted to the temperature and humidity inspection recorder; and calculating the relative humidity, the temperature uniformity, the temperature fluctuation, the humidity uniformity and the humidity fluctuation of the whole internal space of the environment test bin of the annular motion trail area and / or multiple annular measurement point motion trails in one measurement time period and / or each MiNj area and / or the Mi space. The number of sensors is remarkably reduced under the same detection volume, and accumulative errors caused by performance differences of the sensors are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of temperature and humidity measurement methods in an environmental test chamber, and in particular to a patrol measurement method of a dry-bulb and wet-bulb temperature and humidity patrol recorder in an environmental test chamber. Background Art

[0002] During the production of the environmental test chamber, the factory needs to debug the equipment and test and measure the temperature and humidity field of the equipment to verify whether the equipment meets the national standards for environmental chamber fluctuation, temperature and humidity deviation and uniformity. Therefore, we need to measure the temperature and humidity of the equipment test space. At present, traditional detection methods mainly use temperature and humidity inspection instruments for fixed-point detection.

[0003] For example, the invention patent with announcement number CN 111735501 B and titled "Method for measuring temperature and humidity of environmental test equipment" discloses a method for measuring temperature and humidity of environmental test facility equipment. The main technical solution is to divide the internal space of the equipment under test into N grid spaces, where N is a positive integer greater than or equal to 1; divide each grid space into three layers: upper, middle, and lower, and set temperature measurement points and humidity measurement points in each layer; detect and obtain the temperature value of the temperature measurement point and the humidity value of the humidity measurement point in each grid space, and calculate the temperature deviation, temperature uniformity, temperature fluctuation, humidity deviation, humidity uniformity, and humidity fluctuation of the equipment under test. The essence of this invention patent is to deploy multiple sensors at multiple fixed points in the grid space. Although this technical solution improves the accuracy of data acquisition and the problem of multi-point adjustment compared to the traditional single-point detection method, it still has the following defects:

[0004] On the one hand, it is still based on the deployment of sensors at fixed points. For the full coverage detection of the space of the environmental test chamber, sensors need to be placed at many discrete points. In the test chamber with a large volume and complex structure, this method not only makes the sensor layout operation complicated, but also greatly increases the equipment cost and system complexity. At the same time, the multi-sensor layout derives a serious cumulative error problem. Due to factors such as differences in the manufacturing process of different sensors and performance drift in long-term use, it is difficult to maintain a high degree of consistency in key parameters such as sensitivity, measurement accuracy, and response characteristics. In the process of data collection and integrated calculation, the slight differences in these parameters are accumulated and amplified, resulting in a significant deviation between the final detection data and the actual temperature and humidity field conditions, which seriously weakens the reliability and accuracy of the detection results.

[0005] On the other hand, capacitive sensors have limitations in the principle of measuring humidity. Capacitive humidity sensors sense humidity based on changes in capacitance, and are sensitive to environmental factors such as temperature and electromagnetic interference. In complex environmental test chambers, especially under conditions close to the temperature and humidity limits specified by national standards, measurement stability and accuracy are difficult to guarantee. For example, in extreme environment simulation tests of high temperature and high humidity or low temperature and low humidity, capacitive sensors may experience nonlinear responses, zero drift, and other phenomena, resulting in distorted measurement data, making it impossible to accurately determine whether the environmental test chamber is truly up to standard. Summary of the invention

[0006] In response to the above technical problems, the present invention provides a patrol measurement method for a dry-bulb and wet-bulb temperature and humidity patrol recorder in an environmental test chamber, which aims to use a dry-bulb and wet-bulb detection method to perform dynamic scanning detection in different areas in the environmental test chamber factory inspection scenario. On the one hand, the number of sensors can be significantly reduced under the same detection volume, and the cumulative error caused by sensor performance differences can be reduced, while at the same time, the measurement stability and accuracy in the factory compliance inspection of the environmental test chamber can be improved.

[0007] In order to solve the above technical problems, the present invention provides a patrol measurement method of a dry-bulb and wet-bulb temperature and humidity patrol recorder in an environmental test chamber, comprising:

[0008] The internal space of the tested environment test chamber is divided into M longitudinal slice spaces distributed longitudinally, wherein the i-th column of longitudinal slice space is Mi, M is a positive integer greater than or equal to 1, and i is a positive integer greater than or equal to 1 and less than or equal to M;

[0009] Each column of longitudinal slice space is divided into N horizontal slice areas, the j-th horizontal slice area is Nj, where N is a positive integer greater than or equal to 1, and j is a positive integer greater than or equal to 1 and less than or equal to N;

[0010] Each MiNj area is evenly provided with Q groups of dry-bulb and wet-bulb temperature sensor devices to dynamically collect and convert dry-bulb temperature values ​​and wet-bulb temperature values, and the motion trajectory of the measurement points of each group of dry-bulb and wet-bulb temperature sensor devices is circular;

[0011] The dry-bulb and wet-bulb temperature sensor device group collects q sets of dry-bulb temperature values ​​and wet-bulb temperature values ​​in each unit movement closed cycle, where q is a positive integer greater than 1; and one measurement time period is r circular trajectory measurements, where r is a positive integer greater than 1;

[0012] The first-level dry-bulb temperature and the first-level wet-bulb humidity of multiple detection points in each unit movement closed cycle of the circular motion trajectory area are collected and the data is transmitted to the temperature and humidity inspection recorder to calculate the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation of the circular motion trajectory area, and / or collect the second-level dry-bulb temperature and the second-level wet-bulb temperature of multiple circular measurement point motion trajectories within a measurement time period, calculate the average second-level dry-bulb temperature, the average second-level wet-bulb temperature, relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation, and / or calculate the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation of the Q group of dry-bulb and wet-bulb temperature sensing devices in each MiNj area, and / or calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, and humidity fluctuation of the Mi space, and / or calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, and humidity fluctuation of the entire internal space of the environmental test chamber.

[0013] Preferably, the relative humidity calculation formula is: ;

[0014] The temperature uniformity calculation formula is: ;

[0015] The temperature fluctuation calculation formula is: ;

[0016] The calculation formula for humidity uniformity is: ;

[0017] The calculation formula for humidity fluctuation is: .

[0018] Preferably, in the above relative humidity calculation formula, the saturated water vapor pressure corresponding to the wet bulb temperature is first calculated: , the calculation formula is: ; Saturated water vapor pressure corresponding to dry bulb temperature , the calculation formula is: , in, is the dry bulb temperature, is the wet bulb temperature;

[0019] Secondly, calculate the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference ;

[0020] Finally, calculate the relative humidity .

[0021] Preferably, the longitudinal slice space, horizontal slice area, dynamic detection data of Q groups of circular trajectories, multiple detection data of each group of circular trajectories, and dry-bulb temperature, wet-bulb temperature and relative humidity data of multiple detection points of each group of single-circular trajectories of the internal space of the environmental test chamber are defined in this order as the next and previous data sources in sequence, and the dry-bulb temperature, wet-bulb temperature, relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity and humidity fluctuation of each next level are calculated using the calculation data of the adjacent previous level as the input source data.

[0022] Preferably, in the temperature uniformity calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average temperature of this calculation level is calculated as: .

[0023] Preferably, in the temperature fluctuation calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the temperature at this calculation level is calculated as: .

[0024] Preferably, in the humidity uniformity calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average humidity of this calculation level is calculated as: .

[0025] Preferably, in the humidity fluctuation calculation formula, The humidity data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the humidity at this calculation level is calculated as: .

[0026] Preferably, a high-precision angle encoder is installed on the motion mechanism of each group of the dry-bulb and wet-bulb temperature sensor devices. During the circular motion of the dry-bulb and wet-bulb temperature sensor devices, the angle encoder is used to monitor the actual rotation angle of the sensor in real time. , according to the rotation angle of the set detection point , calculate the angle deviation , the angle coordinates after angle deviation compensation are calculated as: ,in, The angular coordinates of the measurement data for the preset original detection point.

[0027] Preferably, a laser displacement sensor is arranged on the annular track of each group of the dry-bulb and wet-bulb temperature sensor devices, and the displacement sensor measures the radial offset of the dry-bulb and wet-bulb temperature sensor devices relative to the set annular track. , set the original measured spatial position coordinates to , the coordinates after compensation The calculation formula is: ,in is the current angle coordinate, and uses the compensated coordinate to correct the matching of the temperature and humidity data with the correct spatial position.

[0028] Compared with the related art, the inspection and measurement method of the environmental test chamber dry-bulb and wet-bulb temperature and humidity inspection recorder provided by the present invention has the following beneficial effects:

[0029] Improve the accuracy of test data: Adopting the dry-bulb and wet-bulb motion detection can effectively reduce the cumulative error caused by individual differences of sensors. In extreme temperature and humidity environments, capacitive sensors are susceptible to interference, and the measurement stability and accuracy are reduced. The dry-bulb and wet-bulb method calculates humidity based on the difference between the dry-bulb and wet-bulb temperatures combined with parameters such as ambient air pressure. It is more reliable and accurate in measuring the temperature and humidity limits, ensuring that the data can accurately reflect the actual temperature and humidity field conditions in the environmental test chamber, improving data accuracy and reliability, and providing a solid basis for determining whether the test chamber meets national standards. The error characteristics of a single annular motion sensor are relatively fixed. When analyzing the relationship between discrete data in the same area (such as temperature and humidity change trends, gradients, etc.), the error accumulation caused by individual differences is less affected, and it can more accurately present the true distribution and change patterns of temperature and humidity in the area, ensuring that the data faithfully reflects the characteristics of environmental changes.

[0030] Optimize spatial distribution detection capabilities: Sensors in dynamic detection mode can read data at set intervals, and can choose to continuously read data from all points or specific points within a circle, and then calculate indicators such as temperature and humidity values ​​and uniformity within a circle. Compared with traditional fixed-point detection that only obtains data at different times at a specific location, dynamic detection can obtain data at different points in the same area at the same time, which more comprehensively reflects the spatial distribution of temperature and humidity in the environmental test chamber, effectively discovers temperature and humidity non-uniformity and change trends, and helps to optimize environmental control in the test chamber and improve test accuracy and reliability. The detection of a single temperature and humidity acquisition sensor moving along a circular trajectory can conduct an orderly and comprehensive scan of the internal area of ​​the test chamber during the temperature uniformity test, avoiding the misleading of the overall uniformity assessment by local data deviations caused by individual differences in multiple sensors, and accurately drawing a spatial distribution map of the temperature and humidity field.

[0031] Reduce costs and system complexity: A single dry-bulb and wet-bulb temperature sensor is used to scan and detect along a circular trajectory. Compared with a fixed-point capacitive multi-sensor layout, the number of sensors required is significantly reduced under the same test chamber volume, which improves the overall cost-effectiveness and maintainability of the detection system, and brings more efficient resource utilization and cost control solutions to the production and testing links of the environmental test chamber. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flowchart of the inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder in the environmental test chamber;

[0033] Figure 2 A schematic diagram of the structural layout of multiple dry-bulb and wet-bulb temperature sensor groups distributed in the MiNj area of ​​the environmental test chamber for dynamic annular detection;

[0034] Figure 3 It is a schematic diagram of a spatial three-dimensional structure of a multi-point detection of temperature and humidity by a multi-group dry-bulb and wet-bulb temperature sensor device group in M ​​and N directions in an environmental test chamber; DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes. Specific embodiment 1

[0037] like Figures 1 to 3 As shown, the present invention provides a method for measuring the dry-bulb and wet-bulb temperature and humidity inspection recorder in an environmental test chamber, the method comprising: Figure 1 and Figure 3 As shown, first divide the area: step S01, divide the tested internal space of the tested environmental test chamber into M longitudinal slice spaces distributed longitudinally, wherein the i-th column of longitudinal slice space is Mi, M is a positive integer greater than or equal to 1, i is a positive integer greater than or equal to 1 and less than or equal to M; step S02, each column of longitudinal slice space is divided into N horizontal slice areas, the j-th horizontal slice area is Nj, N is a positive integer greater than or equal to 1, j is a positive integer greater than or equal to 1 and less than or equal to N; step S03, each MiNj area is evenly set with Q groups of dry-bulb and wet-bulb temperature sensor devices to dynamically collect and convert dry-bulb temperature values ​​and wet-bulb temperature values; step S04, reference Figure 2 As shown, each group of the dry-bulb and wet-bulb temperature sensor device group adopts a dynamic multi-measurement point detection method, and the measurement point motion trajectory is a ring. For each unit movement closed cycle of the dry-bulb and wet-bulb temperature sensor device group, a temperature patrol meter is used to collect q groups of dry-bulb temperature values ​​and wet-bulb temperature values, and the values ​​are transmitted to the upper computer touch control screen for data selection and calculation, wherein q is a positive integer greater than 1; a measurement time period is r times of ring trajectory measurement, and r is a positive integer greater than 1;

[0038] Systematic division and comprehensive coverage of the internal space of the test chamber. This partitioning method can monitor the temperature and humidity at different locations in the test chamber in detail, avoiding the blind spots in space monitoring that may exist in traditional fixed-point detection. At the same time, the circular motion trajectory of the measurement points of each group of sensor devices enables the acquisition of multiple groups of data at different locations in each area. Compared with the traditional fixed-point sensors that can only obtain data at specific points, it greatly increases the richness and comprehensiveness of data collection, and provides a sufficient data basis for the accurate analysis of the temperature and humidity distribution in the test chamber.

[0039] Secondly, perform hierarchical calculations on the divided areas: Figure 1 As shown in the flowchart of the inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder in the environmental test chamber, step S05 collects the first-level dry-bulb temperature and the first-level wet-bulb humidity of multiple detection points in each unit movement closed cycle of the circular motion trajectory area and transmits the data to the temperature and humidity inspection recorder, calculates the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, humidity fluctuation of the circular motion trajectory area, and / or step S06 collects the second-level dry-bulb temperature and the second-level wet-bulb temperature of multiple circular measurement points in a measurement time period, calculates the average second-level dry-bulb temperature, the average second-level wet-bulb temperature, the relative Humidity, temperature uniformity, humidity uniformity, temperature fluctuation, humidity fluctuation, and / or step S07 collects the previous data source to calculate the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, humidity fluctuation of the Q group of dry-bulb temperature sensor devices in each MiNj area, and / or step S08 collects the previous data source to calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, humidity fluctuation of the Mi space, and / or step S09 collects the previous data source to calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, humidity fluctuation of the internal space of the environmental test chamber as a whole. This dynamic detection method can capture the changes in temperature and humidity in the test chamber in real time, obtain temperature and humidity information at different positions in the same area at different times, and effectively reflect the dynamic characteristics of the temperature and humidity field. The collected data can be integrated and calculated to obtain the circular motion trajectory area. Relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, humidity fluctuation and other parameters of each area, space and the entire internal space of the test chamber at different levels (such as the first level, the second level, etc.). It helps to comprehensively evaluate the temperature and humidity conditions in the test chamber from micro to macro, and provides rich and accurate data support for the performance evaluation, optimization control and compliance with relevant standards of the environmental test chamber.

[0040] The measurement method of the present invention reduces the cumulative error caused by differences in sensor performance through dynamic scanning detection. In traditional fixed-point detection, the layout of multiple sensors is affected by factors such as differences in manufacturing processes of different sensors and long-term performance drift, which is prone to cumulative errors during data collection and integrated calculations, causing deviations between the detection data and the actual temperature and humidity field conditions. The present invention uses a single dry-bulb and wet-bulb temperature sensor to scan and detect along a circular trajectory. Its error characteristics are relatively fixed. When analyzing the temperature and humidity data of the same area, the error accumulation caused by individual differences is less affected. It can more accurately present the true distribution and change rules of temperature and humidity in the area, thereby ensuring that the data accurately reflects the actual temperature and humidity field conditions in the environmental test chamber, providing a solid basis for determining whether the test chamber meets national standards, and improving the accuracy and reliability of the test results.

[0041] In this embodiment, the relative humidity calculation formula is: ;

[0042] The temperature uniformity calculation formula is: ;

[0043] The temperature fluctuation calculation formula is: ;

[0044] The calculation formula for humidity uniformity is: ;

[0045] The calculation formula for humidity fluctuation is: .

[0046] In the above relative humidity calculation formula, first calculate the saturated water vapor pressure corresponding to the wet bulb temperature , the calculation formula is: ; Saturated water vapor pressure corresponding to dry bulb temperature , the calculation formula is: , in, is the dry bulb temperature, is the wet bulb temperature;

[0047] Secondly, calculate the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference ;

[0048] Finally, calculate the relative humidity .

[0049] The longitudinal slice space, horizontal slice area, dynamic detection data of Q groups of circular trajectories, multiple detection data of each group of circular trajectories, and dry-bulb temperature, wet-bulb temperature and relative humidity data of multiple detection points of each group of single-circle circular trajectories of the internal space of the environmental test chamber are defined in this order as the next and previous data sources in sequence. The dry-bulb temperature, wet-bulb temperature, relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity and humidity fluctuation of each next level are calculated using the calculation data of the adjacent previous level as the input source data.

[0050] According to the above calculation method, through multi-level data collection and calculation of the circular motion trajectory area, each area, space and the entire internal space of the test chamber, the temperature and humidity conditions in the environmental test chamber can be comprehensively and carefully evaluated. The calculated parameters include not only the basic temperature and humidity values, but also the temperature uniformity, humidity uniformity, temperature fluctuation, humidity fluctuation, etc. These parameters reflect the characteristics of the temperature and humidity field from different angles. Compared with the traditional detection method, which can only obtain simple temperature and humidity measurement values, the traditional fixed-point detection method is abandoned, and an innovative method of dynamic scanning and detection of dry-wet-bulb temperature sensor devices along the circular trajectory is adopted. This method combines the advantages of dry-wet-bulb detection principle and dynamic motion detection, and overcomes the limitations of traditional capacitive sensors that are sensitive to environmental factors when measuring humidity and have poor measurement stability and accuracy under extreme temperature and humidity conditions. The dry-bulb method calculates humidity based on the difference between the dry-bulb and wet-bulb temperatures combined with parameters such as ambient air pressure. It can provide more reliable and accurate humidity measurement results in extreme temperature and humidity environments, such as high temperature and high humidity or low temperature and low humidity environmental simulation tests. It has advantages in measuring the temperature and humidity limit values ​​of environmental test chambers, thereby improving the stability and accuracy of the entire detection method.

[0051] In the temperature uniformity calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average temperature of this calculation level is calculated as: .

[0052] In the temperature fluctuation calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the temperature at this calculation level is calculated as: .

[0053] In the calculation formula of humidity uniformity, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average humidity of this calculation level is calculated as: .

[0054] In the calculation formula of humidity fluctuation, The humidity data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the humidity at this calculation level is calculated as: .

[0055] The dynamic detection method of the present invention enables the sensor to read data at set intervals, and can choose to continuously read data from all points or specific points within a circle, and then calculate indicators such as temperature and humidity values ​​and uniformity within a circle. This makes it possible to obtain data from different points in the same area at the same time. Compared with traditional fixed-point detection that only obtains data at different times at specific locations, it more comprehensively reflects the spatial distribution of temperature and humidity in the environmental test chamber. It can effectively discover the non-uniformity and changing trends of temperature and humidity, and help to accurately draw the spatial distribution map of the temperature and humidity field, which is of great significance for optimizing the environmental control in the test chamber and improving the accuracy and reliability of the test. For example, in some environmental tests that have extremely high requirements for temperature and humidity uniformity, such as drug stability testing, electronic component aging testing, etc., accurately grasping the spatial distribution of temperature and humidity can ensure the validity of the test results and avoid test failures or adverse effects on the test objects due to local temperature and humidity anomalies.

[0056] The present invention uses a single dry-bulb and wet-bulb temperature sensor to scan and detect along a circular trajectory. Compared with the traditional fixed-point capacitive multi-sensor layout, the number of sensors required is significantly reduced under the same test chamber volume. This not only reduces the equipment cost, but also improves the overall cost-effectiveness and maintainability of the detection system. Reducing the number of sensors means reducing the manpower and material costs caused by maintenance work such as sensor failure and calibration, and also reduces the complexity of the system. In the production and testing links of the environmental test chamber, it brings more efficient resource utilization and cost control solutions to enterprises, which helps to improve production efficiency and economic benefits.

[0057] In other specific cases, this embodiment also includes a position correction step, and the specific process is as follows: Figure 1 S10: A high-precision angle encoder is installed on the motion mechanism of each group of the dry-bulb and wet-bulb temperature sensor devices. During the circular motion of the dry-bulb and wet-bulb temperature sensor devices, the angle encoder is collected to monitor the actual rotation angle of the sensor in real time. , according to the rotation angle of the set detection point , calculate the angle deviation , correct the angle coordinate after compensation, and calculate the angle coordinate after angle deviation compensation as: ,in, The angle coordinates of the preset original detection point measurement data. Angle compensation measures can effectively correct the inaccurate angle measurement caused by mechanical motion errors, installation deviations and other factors. After angle compensation, it can ensure that the temperature and humidity data accurately correspond to the actual spatial position in the test chamber, so that the subsequent two-dimensional or three-dimensional distribution diagram of temperature and humidity can truly reflect the temperature and humidity conditions at different locations, providing a reliable basis for accurate analysis of environmental characteristics, thereby improving the accuracy of the entire temperature and humidity measurement data.

[0058] In other specific cases, this embodiment further includes step S11: arranging a laser displacement sensor on the annular track of each group of the dry-bulb and wet-bulb temperature sensor devices, collecting the displacement sensor to measure the radial offset of the dry-bulb and wet-bulb temperature sensor devices relative to the set annular track. , set the original measured spatial position coordinates to , the coordinates after compensation The calculation formula is: ,in The current angle coordinates are used, and the compensated coordinates are used to correct the matching of the temperature and humidity data with the correct spatial position. This process can correct the radial displacement deviation that may occur during the operation of the device in the circular orbit, and ensure the accurate matching of the temperature and humidity data with the actual physical space layout. In the environmental test chamber scenario of large-scale equipment environmental adaptability testing, if the temperature and humidity data do not match the actual spatial position, the temperature and humidity conditions of the equipment's surrounding environment may be misjudged, affecting the assessment of the equipment's environmental adaptability. After displacement compensation, such problems can be effectively avoided, further enhancing the accuracy of the data, so that the temperature and humidity data can accurately reflect the actual environmental conditions of each location in the test chamber. Specific embodiment 2

[0060] In many product testing scenarios with strict requirements on environmental temperature and humidity, such as aging tests of electronic components and drug stability tests, it is necessary to accurately grasp the temperature and humidity conditions at various locations in the test chamber to ensure the accuracy and reliability of the test results. At this time, for the temperature and humidity monitoring of the internal space of the test chamber, we first use the circular track detection method to conduct a detailed analysis of the local area.

[0061] The internal space of the tested environmental test chamber is divided into , in each Area uniform setting The dry-bulb and wet-bulb temperature sensor groups have a circular motion trajectory of the measuring points. This setting can first accurately detect smaller regional units and provide basic data for subsequent overall environmental assessment.

[0062] First, a high-precision angle encoder is installed on the motion mechanism of the dry-bulb and wet-bulb temperature sensor group, and a laser displacement sensor is set on the circular track. When the device group starts to move in a circular motion, the angle encoder collects the actual rotation angle of the sensor. , assuming that the angle coordinates of the preset original detection point measurement data are , if the actual rotation angle , then the angle deviation , angle coordinates after angle deviation compensation The laser displacement sensor measures the radial offset of the device group relative to the set annular trajectory. , if the spatial position coordinates of the original measurement are (Unit: cm), current angle coordinate , then the coordinates after compensation are , the calculation formula is , .like ,but , When drawing two-dimensional or three-dimensional temperature and humidity distribution diagrams, these corrected coordinates can ensure that the data accurately corresponds to the actual spatial position in the test chamber, so that the temperature and humidity distribution in the diagram matches the actual physical space layout, intuitively reflecting the temperature and humidity conditions at different locations, and providing a basis for accurate analysis of environmental characteristics. For example, in the aging test of electronic components, if the temperature and humidity data at a certain location is inaccurate, it may lead to deviations in the aging speed and reliability assessment of the components, and accurate coordinate correction can effectively avoid this situation.

[0063] Secondly, in each unit movement closed cycle of the dry-bulb and wet-bulb temperature sensor group, the dry-bulb temperature value and the wet-bulb temperature value are collected. Group.

[0064] Assume that the collected dry-bulb temperature sequence is , the wet bulb temperature series is .

[0065] First calculate the saturated water vapor pressure corresponding to the wet bulb temperature , according to the formula

[0066] ,for , Similarly, the saturated water vapor pressure corresponding to other wet-bulb temperatures can be calculated. . Saturated water vapor pressure corresponding to dry bulb temperature ,for , , calculate in sequence Then calculate the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference , for the first set of data , calculate in sequence Finally, calculate the relative humidity , for the first set of data , similarly, , , , The parameter of relative humidity is very critical for evaluating the humidity of the environment. In drug stability testing, appropriate relative humidity can ensure that the drug will not deteriorate due to excessive dryness or humidity, thereby ensuring that the test results can truly reflect the stability of the drug under the specified environment.

[0067] Assume that the previous level data (here, the self-collected data) is , average temperature The temperature uniformity is

[0068]

[0069]

[0070] Temperature uniformity reflects the uniformity of temperature distribution in the annular area. In the aging test of electronic components, a uniform temperature environment can ensure that all components are aged under the same thermal stress conditions, avoiding deviations in test results due to local temperature differences.

[0071] Assume that the number of measurements in a period of time is m=5, and the arithmetic mean of the temperature is , the temperature fluctuation is .

[0072] Assume the previous level humidity data is , average humidity , the humidity uniformity is

[0073]

[0074]

[0075]

[0076] Assume that the number of measurements in a period of time is m=5, and the arithmetic mean of humidity is , humidity fluctuation Humidity fluctuation reflects the stability of humidity changes. In some biological experiments, a stable humidity environment helps maintain the activity of biological samples and the reliability of experimental results. Specific embodiment 3

[0078] In some scenarios where a more comprehensive assessment of environmental stability is required, such as environmental adaptability testing of large equipment or long-term biological culture experimental environment monitoring, a single circular trajectory detection may not accurately reflect the overall characteristics of the environment. We perform a measurement cycle of 10 circular trajectory measurements. For dry-bulb temperature, each circular trajectory collects q=5 sets of data, and three measurements collect a total of 100 Set of data, assuming that the dry-bulb temperature sequence composed of these 15 sets of data is .

[0079] The first circular trajectory measurement data is ,

[0080] The second time ,

[0081] The third time For wet bulb temperature, 15 sets of data were collected to form a sequence In addition, during each circular trajectory measurement, the angle encoder and laser displacement sensor are used to obtain correction data and record the corrected coordinate information. This information is used in subsequent two-dimensional or three-dimensional temperature and humidity distribution analysis to accurately depict the distribution trend of multiple measurement data in space and observe the relationship between the change pattern of temperature and humidity in different measurement cycles and the spatial position. Average second-level dry-bulb temperature .For example, Average second-level wet-bulb temperature .

[0082] First, the relative humidity at each circular trajectory measurement is calculated according to the saturated water vapor pressure calculation method of a single circular trajectory in specific embodiment 2. (j=1,2,3, each circular trajectory has a corresponding relative humidity sequence). For example, the relative humidity sequence calculated by the first circular trajectory measurement is , the second time is , the third time Then the average relative humidity The average relative humidity combines the results of multiple measurements and can more accurately describe the humidity conditions in the area over a longer period of time. In the monitoring of the cultural relic preservation environment, the average relative humidity can be used to determine whether the environment is suitable for the long-term preservation of cultural relics and avoid misjudging the environmental suitability due to short-term humidity fluctuations.

[0083] Calculate the average temperature of each circular trajectory (j=1,2,3).

[0084] , Assume that the previous level data of specific embodiment 2 is , total average temperature The temperature uniformity is

[0085]

[0086]

[0087]

[0088] Calculate the temperature fluctuation of each circular trajectory For example, for the first circular trajectory, assuming that the number of measurements within a period of time is m=5, the arithmetic mean of the temperature is , temperature fluctuation . The same calculation and Assume that the number of measurements in a period of time is m=15, and the arithmetic mean of the total temperature is , temperature fluctuation The comprehensive calculation of temperature fluctuation can more comprehensively show the temperature variation of the area during the entire measurement cycle. In a high-precision instrument calibration environment, the stability and reliability of the environmental temperature control system can be evaluated by analyzing multiple measurement fluctuations. Calculate the average humidity of each circular trajectory .For example, , and similarly calculate and . Assume that the previous level data is The total average humidity is .

[0089] The humidity uniformity is The calculated humidity uniformity can reflect the balance of humidity distribution in the area at different measurement periods. In some industrial production environments with high requirements for humidity uniformity, such as semiconductor manufacturing workshops, stable humidity uniformity helps to ensure the consistency of product quality.

[0090] Calculate the humidity fluctuation of each circular trajectory For the first circular trajectory, assuming that the number of measurements within a period of time is m=5, the arithmetic mean of humidity is , humidity fluctuation . The same calculation and Assuming the number of measurements in a period of time is m=15, the arithmetic mean of the total humidity is , humidity fluctuation Humidity fluctuation reflects the severity of humidity changes in the area. In the drug storage environment, smaller humidity fluctuations can prevent the drugs from getting damp or cracking due to rapid humidity changes, thus ensuring the efficacy and quality of the drugs. Specific embodiment 4

[0092] A comprehensive evaluation of the temperature and humidity in multiple key areas was conducted. Each area was equipped with Q=3 groups of dry-bulb and wet-bulb temperature sensors. The movement trajectory of each group of measurement points was circular, and the area was divided into M=1 and N=1. For the dry-bulb temperature, the average second-level dry-bulb temperature of each group was first calculated. , and The first group of average second-level dry-bulb temperatures calculated after multiple circular trajectory measurements , the second group is , the third group is Then the average dry bulb temperature of the area For wet bulb temperature, calculate the average second-level wet bulb temperature for each group. , and Assumptions , , the average wet bulb temperature of the area During the data collection process, the angle encoders and laser displacement sensors of each sensor group continuously correct the data. Using the corrected coordinate data, a temperature and humidity distribution network diagram can be drawn in the area, which clearly shows the uniformity and changes of temperature and humidity in the area, and helps to determine whether the environment in the area meets the requirements of precision instrument production. For example, whether there are local temperature and humidity anomalies that may affect instrument calibration or assembly accuracy. Then calculate the relative humidity of each group separately. and According to the relative humidity calculation formula, for the first group, first calculate the wet bulb temperature The corresponding saturated vapor pressure , dry bulb temperature The corresponding saturated vapor pressure , the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference ,but . The same calculation and , assuming Then the average relative humidity of the area Assume that the previous level data (i.e. the average dry bulb temperature of each group) is , and , the average temperature in the area . Temperature uniformity . Let the number of measurements m in a period of time be the sum of the number of measurements in each group (assuming that each group of measurements n = 5 times, here ), the arithmetic mean of the total temperature , temperature fluctuation . Assume that the previous level data (i.e. the average humidity of each group) is , and , the average humidity in the area . Humidity uniformity . First calculate , , ,but Assuming the number of measurements in a period of time is m=15 (same as m in the temperature fluctuation calculation), the arithmetic mean of the total humidity is Humidity Fluctuation (Specific values ​​are based on calculated). Specific embodiment 5

[0094] In the drug storage environment management scenario, in order to ensure the quality stability of drugs during storage, it is necessary to conduct a detailed analysis of the temperature and humidity of the storage environment. Assume that the environmental test warehouse is divided into M=1, N=3, and in each Q = 1 set of dry-bulb and wet-bulb temperature sensor devices are evenly set in the area, and the motion trajectory of the measurement points of each sensor device group is circular. Area (here i=1), data collection and correction are performed according to the circular trajectory detection method described above.

[0095] In c Area, the collected dry bulb temperature series is ,

[0096] The wet bulb temperature series is The data is corrected by the angle encoder and laser displacement sensor to obtain accurate temperature and humidity data corresponding to the coordinate position information. Accurate temperature and humidity data collection helps determine the optimal environmental conditions for drug storage. Different drugs have different requirements for temperature and humidity. Accurate data can prevent drugs from deteriorating, becoming ineffective, or reducing their efficacy due to improper temperature and humidity. Calculate each Average dry bulb temperature of the area , mean wet bulb temperature and average relative humidity .for area, , According to the relative humidity calculation formula, we can get (The calculation process is the same as the previous embodiment.) These regional average data can reflect the basic temperature and humidity conditions of each horizontal slice area. In drug storage, they can be used to determine whether different areas meet the storage requirements of specific drugs, so as to reasonably arrange the storage location of drugs. Temperature uniformity of the area , humidity uniformity , Temperature Fluctuation and humidity fluctuations .by Taking the regional temperature uniformity calculation as an example, assume that the previous level data (i.e., the self-collected data) is , average temperature , temperature uniformity

[0097]

[0098]

[0099]

[0100] Temperature fluctuation calculation, assuming that the number of measurements in a period of time is m=5, the arithmetic mean of the temperature , temperature fluctuation . Humidity uniformity calculation, assuming that the previous level humidity data is , average humidity , humidity uniformity Humidity fluctuation calculation, assuming that the number of measurements within a period of time is m=5, the arithmetic mean of humidity , humidity fluctuation The uniformity and fluctuation of temperature and humidity can reflect the stability and consistency of temperature and humidity in the area. In drug storage, a uniform and stable temperature and humidity environment can ensure the consistency of drug quality and reduce drug quality problems caused by temperature and humidity differences, such as drug moisture absorption, agglomeration or decomposition of active ingredients.

[0101] For horizontal slice space (here j=1,2,3), calculate its average dry bulb temperature , average wet bulb temperature and average relative humidity For example, for , first obtain Average dry bulb temperature of the area If there are other area (here i is only 1), then . The same calculation and .calculate Temperature uniformity of the space , humidity uniformity , Temperature Fluctuation and humidity fluctuations .by For example, the calculation of spatial temperature uniformity is given by assuming that the previous level data (i.e. The average temperature of the region is (here i=1), average temperature , temperature uniformity (Because there is only one area of ​​data). Temperature fluctuation (Similarly). Humidity uniformity and humidity fluctuations The calculation is similar (calculated based on the corresponding humidity data). The temperature and humidity parameters of these horizontal slice spaces can be used to evaluate the temperature and humidity conditions of the entire horizontal plane. In pharmaceutical storage, it helps to find out whether there are abnormal temperature and humidity areas in the horizontal direction of the storage space, so as to adjust the ventilation, refrigeration or humidification equipment in time to ensure the overall stability of the pharmaceutical storage environment.

[0102] Calculate the average dry bulb temperature for the entire horizontal slice (N region as a whole) , mean wet bulb temperature and average relative humidity . , , For example, if , , ,but . The same calculation and Calculate the temperature uniformity of the overall horizontal slice , humidity uniformity , Temperature Fluctuation and humidity fluctuations Taking temperature uniformity as an example, suppose the previous level data (i.e. The average temperature of the space is , average temperature , temperature uniformity . Calculate specific values, such as . Temperature Fluctuation (Calculate the specific value). Humidity uniformity and humidity fluctuations These overall horizontal slice data can be used to macro-evaluate the temperature and humidity environment quality of drug storage in the horizontal direction, provide a basis for the regulation and management of the entire storage environment, ensure that drugs are stored in a suitable temperature and humidity environment, and reduce drug loss and quality risks. Specific embodiment 6

[0104] Assume that the environmental test chamber is divided into M=1, N=1, in each Q = 1 set of dry-bulb and wet-bulb temperature sensor devices are evenly set in the area, and the motion trajectory of the measurement points of each sensor device group is circular. In the area (here j=1), data is collected and corrected according to the circular trajectory detection method. The dry-bulb temperature series collected may be , the wet bulb temperature series is The correction data is obtained through the angle encoder and laser displacement sensor to ensure that the temperature and humidity data accurately correspond to the actual spatial position in the display cabinet.

[0105] Calculate each Average dry bulb temperature of the area , average wet bulb temperature and average relative humidity .for area, , According to the relative humidity calculation formula, we can get (The calculation process is the same as before.) These regional average data reflect the basic temperature and humidity status of each vertical area, and can be used to determine whether different vertical areas are in a suitable temperature and humidity environment, so as to take targeted control measures, such as local humidification or cooling.

[0106] First, calculate each Temperature uniformity of the area , humidity uniformity , Temperature Fluctuation and humidity fluctuations .by Taking the regional temperature uniformity calculation as an example, assume that the previous level data is ,

[0107] The average temperature is ,

[0108] Temperature uniformity:

[0109]

[0110]

[0111]

[0112] Temperature fluctuation calculation, assuming that the number of measurements within a period of time is m=5,

[0113] Arithmetic mean of temperature ,

[0114] Temperature fluctuation .

[0115] Humidity uniformity calculation, assuming that the previous level humidity data is , average humidity , humidity uniformity ...(Here we only illustrate the calculation method, and do not show the complete calculation results). Humidity fluctuation calculation, assuming that the number of measurements within a period of time is m=5,

[0116] The arithmetic mean of humidity ,

[0117] Humidity fluctuation The uniformity and fluctuation of temperature and humidity can reflect the stability of temperature and humidity in the area.

[0118] For vertical slice space (here i=1,2,3), calculate its average dry bulb temperature , mean wet bulb temperature and average relative humidity For example, for , first obtain Average dry bulb temperature of the area ,but . The same calculation and .calculate Temperature uniformity of the space , humidity uniformity , Temperature Fluctuation and humidity fluctuations .by For example, the calculation of spatial temperature uniformity is given by assuming that the previous level data (i.e. The average temperature of the region (where j=1 has only one region) is , average temperature , temperature uniformity (Because there is only one area of ​​data). Temperature fluctuation (Similarly). Humidity uniformity and humidity fluctuations The calculation is similar (calculated based on the corresponding humidity data). These temperature and humidity parameters of the vertical slice space can be used to evaluate the temperature and humidity conditions of the entire vertical layer.

[0119] Calculate the average dry bulb temperature of the entire vertical slice (the entire M region) , mean wet bulb temperature and average relative humidity . , , For example, if , , ,but . The same calculation and Calculate the temperature uniformity of the entire vertical slice , humidity uniformity , Temperature Fluctuation and humidity fluctuations Taking temperature uniformity as an example, suppose the previous level data (i.e. The average temperature of the space is , average temperature , temperature uniformity . Calculate specific values, such as . Temperature Fluctuation (Calculate the specific value). Humidity uniformity and humidity fluctuations These overall vertical slice data can be used to macro-evaluate the temperature and humidity environment quality in the vertical direction of the environmental test chamber, provide a basis for the regulation and management of the entire environment, and ensure that different height positions can be in a stable and suitable temperature and humidity environment. Specific embodiment 7

[0121] Assume that the environmental test chamber is divided into M=5, N=5, in each Q=2 groups of dry-bulb and wet-bulb temperature sensor devices are evenly arranged in the region, and the motion trajectory of the measuring points of each sensor device group is circular.

[0122] For each Area, first calculate the average second-level dry-bulb temperature of the two sensor device groups and and the average second-level wet-bulb temperature and For example, in Area, average second level dry bulb temperature calculated by the first sensor group , the second group is , then the average dry bulb temperature of the area . The wet bulb temperature can be calculated in the same way, assuming , the average wet bulb temperature of the area During the data collection process, the angle encoders and laser displacement sensors of each sensor group continuously correct the data. Using the corrected coordinate data, each The temperature and humidity distribution network diagram in the area clearly shows the uniformity and changes of temperature and humidity in the area, which helps to determine whether the environment in the area meets the requirements for equipment operation, such as whether there are local hot spots or excessive humidity that may affect equipment heat dissipation or cause short circuits.

[0123] For each Area, first calculate the relative humidity of the two groups separately and .by For example, according to the relative humidity calculation formula, for the first group, the wet bulb temperature is calculated first. The corresponding saturated vapor pressure , dry bulb temperature The corresponding saturated vapor pressure , the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference ,but . The same calculation , assuming . Then the average relative humidity of the area is calculated.

[0124] Assume that the previous level data (i.e. the average dry bulb temperature of each group) is Group and The average temperature of the area .by For example, the temperature uniformity of the region .. Temperature uniformity reflects the uniformity of the temperatures measured by different sensor groups in the area, avoiding equipment operating efficiency decline or failure due to temperature differences and ensuring the accuracy and reliability of data processing.

[0125] Assume that the number of measurements in a period of time is the sum of the number of measurements in each group (assuming that each group of measurements has n=5 times, here ), the arithmetic mean of the total temperature .by For example, the temperature fluctuation (Specific values ​​are based on The temperature fluctuation reflects the change of the temperature of the area over time.

[0126] Assume that the previous level data (i.e. the average humidity of each group) is and , the average humidity in the area .by For example, humidity uniformity in the region . First calculate , , ,but .

[0127] Assume that the number of measurements in a period of time is m=10 (same as m in the temperature fluctuation calculation), the arithmetic mean of the total humidity is .by For example, the humidity fluctuation (Specific values ​​are based on Humidity fluctuation reflects the stability of humidity changes in the area. A stable humidity environment helps to maintain the stability of the physical and chemical properties of the equipment.

[0128] Calculate the average dry bulb temperature of the entire environmental test chamber (machine room) , average wet bulb temperature and average relative humidity . , , If the average dry bulb temperature of each area is calculated, the above formula can be used to calculate . The same calculation and Calculate the temperature uniformity of the entire space , humidity uniformity , Temperature Fluctuation and humidity fluctuations Taking temperature uniformity as an example, suppose the previous level data (i.e. The average temperature of the region is Area, average temperature , temperature uniformity . Calculate specific values, such as . Temperature Fluctuation . Humidity uniformity and humidity fluctuations These overall spatial data can be used to macro-evaluate the temperature and humidity quality of the overall environmental test chamber, provide a basis for the regulation and management of the entire environmental test chamber, ensure that all equipment in the environmental test chamber can operate stably in a suitable temperature and humidity environment, and ensure the efficient and safe operation of the data center.

[0129] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for measuring the inspection of a dry-bulb and wet-bulb temperature and humidity inspection recorder in an environmental test chamber, characterized in that: include: The internal space of the tested environment test chamber is divided into M longitudinal slice spaces distributed longitudinally, wherein the i-th column of longitudinal slice space is Mi, M is a positive integer greater than or equal to 1, and i is a positive integer greater than or equal to 1 and less than or equal to M; Each column of longitudinal slice space is divided into N horizontal slice areas, the j-th horizontal slice area is Nj, where N is a positive integer greater than or equal to 1, and j is a positive integer greater than or equal to 1 and less than or equal to N; Each MiNj area is evenly provided with Q groups of dry-bulb and wet-bulb temperature sensor devices to dynamically collect and convert dry-bulb temperature values ​​and wet-bulb temperature values. Each group of dry-bulb and wet-bulb temperature sensor devices adopts a dynamic multi-measurement point detection method, and the measurement point motion trajectory is a ring. The dry-bulb and wet-bulb temperature sensor device group collects q sets of dry-bulb temperature values ​​and wet-bulb temperature values ​​in each unit movement closed cycle, where q is a positive integer greater than 1; and one measurement time period is r circular trajectory measurements, where r is a positive integer greater than 1; The first-level dry-bulb temperature and the first-level wet-bulb humidity of multiple detection points in each unit movement closed cycle of the circular motion trajectory area are collected and the data is transmitted to the temperature and humidity inspection recorder to calculate the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation of the circular motion trajectory area, and / or collect the second-level dry-bulb temperature and the second-level wet-bulb temperature of multiple circular measurement point motion trajectories within a measurement time period, calculate the average second-level dry-bulb temperature, the average second-level wet-bulb temperature, relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation, and / or calculate the relative humidity, temperature uniformity, humidity uniformity, temperature fluctuation, and humidity fluctuation of the Q group of dry-bulb and wet-bulb temperature sensing devices in each MiNj area, and / or calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, and humidity fluctuation of the Mi space, and / or calculate the relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity, and humidity fluctuation of the entire internal space of the environmental test chamber.

2. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 1 is characterized in that: The relative humidity calculation formula is: ; The temperature uniformity calculation formula is: ; The temperature fluctuation calculation formula is: ; The calculation formula for humidity uniformity is: ; The calculation formula for humidity fluctuation is: .

3. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 2 is characterized in that: In the above relative humidity calculation formula, first calculate the saturated water vapor pressure corresponding to the wet bulb temperature , the calculation formula is: ; Saturated water vapor pressure corresponding to dry bulb temperature , the calculation formula is: , in, is the dry bulb temperature, is the wet bulb temperature; Secondly, calculate the change in water vapor pressure corresponding to the dry-bulb and wet-bulb temperature difference ; Finally, calculate the relative humidity .

4. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 2 is characterized in that: The longitudinal slice space, horizontal slice area, dynamic detection data of Q groups of circular trajectories, multiple detection data of each group of circular trajectories, and dry-bulb temperature, wet-bulb temperature and relative humidity data of multiple detection points of each group of single-circular trajectories of the internal space of the environmental test chamber are defined in this order as the next and previous data sources in sequence. The dry-bulb temperature, wet-bulb temperature, relative humidity, temperature uniformity, temperature fluctuation, humidity uniformity and humidity fluctuation of each next level are calculated using the calculation data of the adjacent previous level as the input source data.

5. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of the environmental test chamber according to claim 4 is characterized in that: In the temperature uniformity calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average temperature of this calculation level is calculated as: .

6. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 4, characterized in that: In the temperature fluctuation calculation formula, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the temperature at this calculation level is calculated as: .

7. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of the environmental test chamber according to claim 4 is characterized in that: In the calculation formula of humidity uniformity, The temperature data measured or calculated at the previous level of this calculation level, i=1,2…n, the average humidity of this calculation level is calculated as: .

8. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 4 is characterized in that: In the calculation formula of humidity fluctuation, The humidity data measured or calculated at the previous level of this calculation level, i=1,2…m, m is the number of measurements within a period of time, and the arithmetic mean of the humidity at this calculation level is calculated as: .

9. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 1, characterized in that: A high-precision angle encoder is installed on the motion mechanism of each group of dry-bulb and wet-bulb temperature sensor devices. During the circular motion of the dry-bulb and wet-bulb temperature sensor devices, the angle encoder is collected to monitor the actual rotation angle of the sensor in real time. , according to the rotation angle of the set detection point , calculate the angle deviation , the angle coordinates after angle deviation compensation are calculated as: ,in, The angular coordinates of the measurement data for the preset original detection points.

10. The inspection and measurement method of the dry-bulb and wet-bulb temperature and humidity inspection recorder of an environmental test chamber according to claim 1, characterized in that: A laser displacement sensor is arranged on the annular track of each group of the dry-bulb and wet-bulb temperature sensor devices, and the displacement sensor is used to measure the radial offset of the dry-bulb and wet-bulb temperature sensor devices relative to the set annular track. , set the original measured spatial position coordinates to , the coordinates after compensation The calculation formula is: ,in is the current angle coordinate, and uses the compensated coordinate to correct the matching of the temperature and humidity data with the correct spatial position.

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