Temperature and humidity detection capability evaluation method of inspection and detection mechanism

Abstract

The invention relates to a method for evaluating the temperature and humidity detection capability of an inspection and detection mechanism, which comprises the following steps of: inspecting the uniformity of a sample for detection to obtain a detection sample passing the uniformity inspection; selecting a specified detection point, and measuring through a qualified standard detector arranged at the specified detection point to obtain temperature verification data and humidity verification data of the detection sample; scoring according to the temperature data and the humidity data to obtain a judgment score; and evaluating the inspection and detection mechanism according to the judgment score to obtain an evaluation grade. According to the invention, the verification capability of the whole verification mechanism is quantified, objective factors are eliminated, and the accuracy of the evaluation of the detection capability is improved.

Description

Technical Field

[0001] The present invention relates to the field of testing capability assessment, and in particular to a method for evaluating the temperature and humidity testing capabilities of a testing organization. Background Art

[0002] Cleanrooms, as dust-free workshops with high process requirements, require strict control of internal pollution and place extremely high demands on indoor air cleanliness, temperature, and humidity. Cleanroom temperature and humidity play a vital role in production. Poorly controlled conditions can degrade the room's overall performance, leading to bacterial growth and other contaminants, static electricity generation, and metal corrosion. They can also cause discomfort to workers and reduce production efficiency. The purpose of cleanroom temperature and relative humidity testing is to demonstrate the facility's air handling system's ability to maintain the air temperature and relative humidity within the measured area within the agreed-upon timeframe and control limits.

[0003] Therefore, in order to promote the consistency of clean environment temperature and relative humidity detection and examine and evaluate the accuracy of inspection and testing agencies in measuring clean environment temperature and humidity, there is an urgent need for an evaluation method for the temperature and humidity detection capabilities of inspection and testing agencies. Summary of the Invention

[0004] In order to address the deficiencies of the prior art, the present invention provides a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization.

[0005] The present invention provides a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization, comprising:

[0006] S1: Conducting a uniformity inspection on the sample to be tested, and obtaining a test sample that passes the uniformity inspection;

[0007] S2: Select a designated test point and measure the temperature and humidity data of the test sample using a qualified standard tester placed at the designated test point;

[0008] S3: Scoring the temperature verification data and the humidity verification data to obtain a judgment score;

[0009] S4: Evaluate the inspection and testing agency based on the judgment score to obtain an evaluation grade.

[0010] According to a method for evaluating the temperature and humidity detection capability of an inspection and testing organization provided by the present invention, the uniformity inspection result of the test sample in step S1 is:

[0011] Within a preset time, the temperature change value of the detection sample is less than or equal to the first accuracy;

[0012] Within a preset time, the humidity change value of the detection sample is less than or equal to the second accuracy.

[0013] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the preset time is 9 hours, the first accuracy is 0.3° C., and the second accuracy is 1.1%.

[0014] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the designated detection points in step S2 specifically include:

[0015] A first detection point located in a first detection room;

[0016] The second detection point and the third detection point are respectively arranged in the second detection room.

[0017] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the standard detector in step S2 includes: an air temperature measuring instrument and a relative humidity measuring instrument.

[0018] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the qualification requirements of the standard detector include:

[0019] The range of the air temperature measuring instrument is greater than 4.5°C and less than 38°C, the resolution of the air temperature measuring instrument is 0.1°C, and the accuracy error value of the air temperature measuring instrument is less than or equal to 1%;

[0020] The measuring range of the relative humidity measuring instrument is greater than 10% and less than 90%, the resolution error value of the relative humidity measuring instrument is less than or equal to 2%, and the accuracy error value of the relative humidity measuring instrument is less than or equal to 2%.

[0021] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, step S2 further includes:

[0022] S21: Select a designated detection point;

[0023] S22: placing the standard detector to be tested at the designated test points, measuring the test sample, and obtaining a plurality of temperature test data and a plurality of humidity test data;

[0024] S23: Calculate the average value of multiple temperature experimental data to obtain temperature verification data; calculate the average value of multiple humidity experimental data to obtain humidity verification data.

[0025] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the determination score in step S3 is a total determination score, and the total determination score specifically includes:

[0026] The first judgment score is a written assessment score, and the written assessment score includes:

[0027] Standard tester readings and test process operating specifications;

[0028] The name and number of the standard that the testing process complies with;

[0029] The plane dimensions of the testing room, the locations of the testing rooms, and the heights of the testing rooms;

[0030] A second determination score, the second determination score comprising:

[0031] Temperature data scoring, the expression for temperature data scoring is:

[0032]

[0033] Where Z1 is the temperature data score, x1 is the temperature verification data, X1 is the specified value of the temperature data, and σ1 is the standard deviation of the temperature data;

[0034] Humidity data scoring, the expression of humidity data scoring is:

[0035]

[0036] Among them, Z2 is the humidity data score, x2 is the humidity verification data, X2 is the humidity data specified value, and σ2 is the humidity data standard deviation.

[0037] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the total judgment score is the sum of the first judgment score and the second judgment score;

[0038] The first determination score has a maximum score of 40 points, and the second determination score has a maximum score of 60 points;

[0039] The scoring criteria for the temperature data scoring include:

[0040] When the absolute value of the temperature data score |Z1| is ≥3, the temperature data score is judged to be good;

[0041] When the absolute value of the temperature data score is 2<|Z1|<3, the temperature data score is determined to be medium;

[0042] When the absolute value of the temperature data score |Z1| is ≤ 2, the temperature data score is judged to be excellent;

[0043] The scoring criteria for the humidity data scoring include:

[0044] When the absolute value of the humidity data score |Z1| is ≥3, the humidity data score is judged to be good;

[0045] When the absolute value of the humidity data score is 2<|Z1|<3, the humidity data score is determined to be medium;

[0046] When the absolute value of the humidity data score |Z1| is ≤ 2, the humidity data score is determined to be excellent;

[0047] The scoring criteria for the second determination score include:

[0048] When the temperature data score and the humidity data score are both judged to be excellent, the second judgment score is 60 points;

[0049] When either the temperature data score or the humidity data score is judged to be medium, the second judgment score is 50 points;

[0050] When the temperature data score and the humidity data score are both determined to be medium, the second determination score is 40 points;

[0051] When either the temperature data score or the humidity data score is judged as medium and the other is judged as excellent, the second judgment score is 30 points;

[0052] When either the temperature data score or the humidity data score is judged as medium and the other is judged as good, the second judgment score is 20 points;

[0053] When both the temperature data score and the humidity data score are determined to be good, the second determination score is 0.

[0054] According to a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention, the evaluation levels in step S4 include:

[0055] When the judgment score is greater than or equal to 60 points, the evaluation level is qualified;

[0056] When the judgment score is less than 60 points, the evaluation level is unqualified.

[0057] The present invention provides a method for evaluating the temperature and humidity detection capabilities of an inspection and testing agency. By conducting a uniformity inspection on the test samples, it is ensured that the change values ​​of temperature and humidity within the preset time are within the specified accuracy range, thereby ensuring the reliability of the measurement data. At the same time, the present invention provides detailed operating steps, including selecting designated detection points, using standard detectors for measurement, data scoring, and final evaluation grade determination, which helps to reduce errors in the operation process and make the evaluation results more objective and fair. In addition, the present invention not only takes into account the accuracy of the actual measurement data, but also evaluates the professional knowledge and skill level of the operators through written assessment scores. The comprehensive evaluation system can more truly reflect the temperature and humidity detection capabilities of the inspection and testing agency. At the same time, the present invention provides specific scoring standards and evaluation grade divisions, making the evaluation results more intuitive and easy to understand. Overall, the present invention not only standardizes the verification capability evaluation process but also improves the accuracy of the detection capability evaluation by quantifying and objectifying the overall verification capability of the inspection and testing agency. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0059] Figure 1 A flow chart of a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization provided by the present invention;

[0060] Figure 2 A temperature data scoring bar chart provided by an embodiment of the present invention;

[0061] Figure 3 A humidity data scoring bar chart provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the embodiments described are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0063] The following combination Figures 1 to 3Embodiments of the present invention are described.

[0064] like Figure 1 As shown, the present invention provides a method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization, comprising:

[0065] S1: Conducting a uniformity inspection on the sample to be tested, and obtaining a test sample that passes the uniformity inspection.

[0066] Specifically, the uniformity of the samples was first examined before the on-site temperature and humidity test. The temperature and relative humidity were measured at three points in each of the two rooms. The locations of the samples were the same as those in the subsequent calibration process. Test data was collected over a period of time, and a total of 6 samples of temperature and relative humidity data were collected.

[0067] The uniformity inspection result of the test sample in step S1 is:

[0068] Within a preset time, the temperature change value of the detection sample is less than or equal to the first accuracy;

[0069] Within a preset time, the humidity change value of the detection sample is less than or equal to the second accuracy.

[0070] The preset time is 9 hours, the first accuracy is 0.3° C., and the second accuracy is 1.1%.

[0071] In a specific embodiment, the results of the sample uniformity inspection are shown in Table 1. The judgment criteria are that the change in the temperature measurement value is no greater than the accuracy of the temperature measured by the thermohygrometer (±0.3°C), and the change in the relative humidity measurement value is no greater than the uncertainty of the humidity measured by the thermohygrometer (1.1%RH).

[0072] In Table 1, A and B represent two samples, respectively, and a, b, and c represent three batches of each sample. In this embodiment, batch c of sample A, batch b of sample B, and batch c of sample B are selected as sample 1, sample 2, and sample 3, respectively. The verification is performed from 8:00 to 17:00. In addition, the maximum value, minimum value, average value, standard deviation, and RSD percentage of the corresponding data are calculated. It can be seen from Table 1 that the temperature and relative humidity uniformity of the selected measuring points are good.

[0073] Table 1 Sample uniformity inspection results

[0074]

[0075] S2: Select a designated testing point, and measure and obtain the temperature verification data and humidity verification data of the test sample by placing a qualified standard tester at the designated testing point.

[0076] Wherein, the standard detector in step S2 includes: an air temperature measuring instrument and a relative humidity measuring instrument.

[0077] Among them, the qualification requirements of the standard detector include:

[0078] The range of the air temperature measuring instrument is greater than 4.5°C and less than 38°C, the resolution of the air temperature measuring instrument is 0.1°C, and the accuracy error value of the air temperature measuring instrument is less than or equal to 1%;

[0079] The measuring range of the relative humidity measuring instrument is greater than 10% and less than 90%, the resolution error value of the relative humidity measuring instrument is less than or equal to 2%, and the accuracy error value of the relative humidity measuring instrument is less than or equal to 2%.

[0080] Before testing begins, the performance of the testing instrument must be confirmed. Specifically, the performance of the instrument must be confirmed in accordance with the above requirements. The results must meet the specifications. If the performance confirmation results do not meet the specifications, the cause must be identified and the instrument performance must be reconfirmed. Only when the results meet the specifications can the experiment be carried out. The temperature and relative humidity measuring instruments used in the on-site assessment must meet the following requirements: The air temperature measuring instrument must have a range of 4.5 to 38°C, a resolution of 0.1°C, and an accuracy of ±1% of the count; the relative humidity measuring instrument must have a range of 10% to 90%, a resolution of ±1%, and an accuracy of ±2%.

[0081] Wherein, step S2 further includes:

[0082] S21: Select a designated detection point;

[0083] S22: placing the standard detector to be tested at the designated test points, measuring the test sample, and obtaining a plurality of temperature test data and a plurality of humidity test data;

[0084] S23: Calculate the average value of multiple temperature experimental data to obtain temperature verification data; calculate the average value of multiple humidity experimental data to obtain humidity verification data.

[0085] The designated detection points in step S2 specifically include:

[0086] A first detection point located in a first detection room;

[0087] The second detection point and the third detection point are respectively arranged in the second detection room.

[0088] The specific detection process is as follows: in Room A, stand at the designated position and measure the temperature and relative humidity at 0.8 meters from the ground. Record the instrument reading once after it stabilizes, record a total of 3 data, and calculate the average of the 3 data; in Room B, accurately position the temperature and relative humidity measuring instrument probes at the designated detection points (marked positions) for measurement. Record the instrument reading at each measuring point once after it stabilizes, record a total of 3 data, and calculate the average of the 3 data.

[0089] S3: Scoring is performed according to the temperature verification data and the humidity verification data to obtain a judgment score.

[0090] The judgment score in step S3 is a total judgment score, which specifically includes:

[0091] The first judgment score is a written assessment score, which includes: standard detector readings, detection process operating specifications; the name of the standard that the detection process complies with, the standard number that the detection process complies with; the plane size of the detection room, the distribution point location of the detection room, and the distribution point height of the detection room.

[0092] The first judgment score is a quantitative written assessment with three questions: the first question is a judgment question, which examines the content of the temperature and humidity detection instruments, readings and detection precautions in the standard; the second question is to write down the name and number of the standard followed by the laboratory when detecting temperature and humidity. This question mainly tests the experimenter's familiarity with the standards used; the third question is to detect the temperature and relative humidity of a non-constant temperature and humidity clean room according to the standards listed in the second question. Given the plane dimensions of the room, the requirements include drawing the plane distribution point positions and writing down the distribution point heights from the ground. This question requires a comprehensive description of the standard distribution point requirements and strict compliance with the standard requirements.

[0093] A second determination score, the second determination score comprising:

[0094] Temperature data scoring, the expression for temperature data scoring is:

[0095]

[0096] Among them, Z1 is the temperature data score, x1 is the temperature verification data, X1 is the specified value of the temperature data, and σ1 is the standard deviation of the temperature data.

[0097] Humidity data scoring, the expression of humidity data scoring is:

[0098]

[0099] Among them, Z2 is the humidity data score, x2 is the humidity verification data, X2 is the humidity data specified value, and σ2 is the humidity data standard deviation.

[0100] The total judgment score is the sum of the first judgment score and the second judgment score.

[0101] The maximum score for the first determination is 40 points, and the maximum score for the second determination is 60 points.

[0102] During the assessment, the first aspect is a written assessment, scored according to the preset scoring criteria, with a full score of 40 points; the other aspect is to use the current round data and evaluate according to the Z score numerical calculation method shown in the above expression, calculating a Z value for each of the temperature and relative humidity, with a full score of 60 points.

[0103] The scoring criteria for the temperature data score include: when the absolute value of the temperature data score |Z1| ≥ 3, the temperature data score is judged to be good; when the absolute value of the temperature data score 2 < |Z1| < 3, the temperature data score is judged to be medium; when the absolute value of the temperature data score |Z1| ≤ 2, the temperature data score is judged to be excellent.

[0104] The scoring criteria for the humidity data score include: when the absolute value of the humidity data score |Z1| ≥ 3, the humidity data score is judged to be good; when the absolute value of the humidity data score 2 < |Z1| < 3, the humidity data score is judged to be medium; when the absolute value of the humidity data score |Z1| ≤ 2, the humidity data score is judged to be excellent.

[0105] The specific judgment principles are: (1) The result with an absolute value of the z-ratio score greater than or equal to 3 is "unsatisfactory", which is the above-mentioned good; (2) The result with an absolute value of the z-ratio score between 2 and 3 is "problematic", which is the above-mentioned medium; (3) The result with an absolute value of the z-ratio score less than or equal to 2 is "satisfactory", which is the above-mentioned excellent.

[0106] The scoring criteria for the second judgment score include: when the temperature data score and the humidity data score are both judged to be excellent, the second judgment score is 60 points; when either the temperature data score or the humidity data score is judged to be medium, the second judgment score is 50 points; when both the temperature data score and the humidity data score are judged to be medium, the second judgment score is 40 points; when either the temperature data score or the humidity data score is judged to be medium and the other score is judged to be excellent, the second judgment score is 30 points; when either the temperature data score or the humidity data score is judged to be medium and the other score is judged to be good, the second judgment score is 20 points; when both the temperature data score and the humidity data score are judged to be good, the second judgment score is 0 point.

[0107] The specific scoring principles are as follows: (1) If both Z values ​​are “satisfied”, the score is 60 points; (2) If one Z value is “satisfied” and the other Z value is “problematic”, the score is 50 points; (3) If both Z values ​​are “problematic”, the score is 40 points; (4) If one Z value is “satisfied” and the other Z value is “unsatisfied”, the score is 30 points; (5) If one Z value is “problematic” and the other Z value is “unsatisfied”, the score is 20 points; (6) If both Z values ​​are “unsatisfied”, the score is 0 points.

[0108] S4: Evaluate the inspection and testing agency based on the judgment score to obtain an evaluation grade.

[0109] The evaluation levels in step S4 include:

[0110] When the judgment score is greater than or equal to 60 points, the evaluation level is qualified;

[0111] When the judgment score is less than 60 points, the evaluation level is unqualified.

[0112] In another embodiment, the present invention conducted proficiency testing on 54 laboratories and submitted result reports as required. The 54 laboratories are distributed in 23 regions. The specific distribution is shown in Table 2, including 36 food, drug, and medical device inspection and testing institutions (67%), 12 third-party measurement and testing institutions (accounting for 22% of the total participating laboratories), 3 other scientific research institutions and laboratories (accounting for 6% of the total participating laboratories), and 3 corporate QC laboratories (accounting for 5% of the total participating laboratories).

[0113] Table 2 Laboratory distribution

[0114]

[0115] According to the data characteristics of the proficiency testing in this embodiment, the designated value and the standard deviation of the proficiency assessment are calculated only for the on-site assessment data. In this embodiment, the median value of the measured results of all participating units is used as the designated value. The designated values ​​of the two samples are 24°C and 55%, respectively.

[0116] From a technical perspective, temperature and humidity are affected by factors such as the test method, measuring instrument, and operator. The capability assessment standard deviation, i.e., σ1 and σ2 in the aforementioned formula, should account for the uncertainty of temperature and humidity testing. Therefore, after comprehensively analyzing the uncertainty introduced by the measuring instrument, the uncertainty introduced by the measurement method, and the uncertainty introduced by operator operation, the capability assessment standard deviation for this example was revised to 0.8°C for the temperature of Sample 1 and 2.9% for the relative humidity of Sample 3, respectively. See Tables 3 and 4 for details.

[0117] Table 3 Temperature capability assessment standard deviation

[0118] Sources of temperature uncertainty components Value (℃) Dew point meter maximum allowable error 0.2 Maximum allowable error of digital thermometer 0.05 Humidity generator temperature fluctuation 0.2 Accuracy of own instrument 0.3 Uniformity 0.18 Discreteness during measurement 0.63 Ability assessment standard deviation 0.8

[0119] Table 4 Standard deviation of relative humidity capability assessment

[0120] Sources of relative humidity uncertainty components Value (%) Humidity generator temperature fluctuation 1 Instrument uncertainty 1.1 Uniformity 0.73 Discreteness during measurement 2.4 Ability assessment standard deviation 2.9

[0121] First judgment scoring: The highest score is 40 points, the lowest score is 32 points, and 47 companies (87.0%) scored full marks.

[0122] Second judgment scoring: Data distribution analysis of the on-site test results of 54 laboratories showed that the results were in line with the normal distribution. The summary statistics of the results are shown in Table 5. The Z ratio scores were calculated based on the capability evaluation statistics. For the temperature of sample A, 53 laboratories had a result of ︱Z︱≤2, accounting for 98.1% (53 / 54), and 1 laboratories had a result of 2<︱Z︱<3, accounting for 1.9% (1 / 54). For the relative humidity of sample B, 51 laboratories had a result of ︱Z︱≤2, accounting for 94.4% (53 / 54), and 3 laboratories had a result of 2<︱Z︱<3, accounting for 5.6% (1 / 54).

[0123] Table 5 Summary statistics of laboratory field test results

[0124]

[0125] In order to clearly show the practical results of each participant, the Z values ​​of each laboratory are arranged in order of size to form a bar chart. Figure 2 and Figure 3 , Figure 2 and Figure 3 Each bar in the chart is marked with the laboratory code. Through the bar chart, each laboratory can compare its results with those of other participating laboratories to understand the level of its results in this program. The overall situation is: the test results of 54 laboratories are qualified, and the overall pass rate is 100%.

[0126] Based on this embodiment, the present invention believes that the main errors in temperature and relative humidity measurement come from instruments, human operation and operating environment. The accuracy of temperature and relative humidity detectors is affected by the loss of electronic components, personnel and environment. In order to ensure the accuracy of the measurement results, the instrument should be measured regularly. It is recommended that the recalibration time interval be 1 year. In addition, the results of temperature and humidity detection should be corrected according to the correction value. The method is to make a standard curve of the temperature or relative humidity calibration point and the correction value, and correct the results of the measured temperature or relative humidity according to the linear relationship. The laboratory will conduct comprehensive consideration and processing when processing the results.

[0127] In addition, in order to minimize the impact of human operations on the measurement results, detailed operating instructions should be formulated to standardize the specific operational details of on-site testing. Secondly, during the implementation period of the proficiency testing, the stability of the operating environment should be maintained to ensure the stability of the temperature and relative humidity detection of the proficiency testing samples.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization, characterized in that: include: S1: Conducting a uniformity inspection on the sample to be tested, and obtaining a test sample that passes the uniformity inspection; S2: Select a designated test point and measure the temperature and humidity data of the test sample using a qualified standard tester placed at the designated test point; S3: Scoring the temperature verification data and the humidity verification data to obtain a judgment score; S4: Evaluate the inspection and testing agency based on the judgment score to obtain an evaluation grade.

2. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 1, wherein: The results of the uniformity inspection of the test sample in step S1 are: Within a preset time, the temperature change value of the detection sample is less than or equal to the first accuracy; Within a preset time, the humidity change value of the detection sample is less than or equal to the second accuracy.

3. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 2, wherein: The preset time is 9 hours, the first accuracy is 0.3° C., and the second accuracy is 1.1%.

4. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 1, wherein: The designated detection points in step S2 specifically include: A first detection point located in a first detection room; The second detection point and the third detection point are respectively arranged in the second detection room.

5. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 1, wherein: The standard detectors in step S2 include: an air temperature measuring instrument and a relative humidity measuring instrument.

6. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 5, characterized in that: The qualification requirements for the standard detector include: The range of the air temperature measuring instrument is greater than 4.5°C and less than 38°C, the resolution of the air temperature measuring instrument is 0.1°C, and the accuracy error value of the air temperature measuring instrument is less than or equal to 1%; The measuring range of the relative humidity measuring instrument is greater than 10% and less than 90%, the resolution error value of the relative humidity measuring instrument is less than or equal to 2%, and the accuracy error value of the relative humidity measuring instrument is less than or equal to 2%.

7. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 1, wherein: Step S2 further comprises: S21: Select a designated detection point; S22: placing the standard detector to be tested at the designated test points, measuring the test sample, and obtaining a plurality of temperature test data and a plurality of humidity test data; S23: Calculate the average value of multiple temperature experimental data to obtain temperature verification data; calculate the average value of multiple humidity experimental data to obtain humidity verification data.

8. The method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 1, wherein: The judgment score in step S3 is a total judgment score, which specifically includes: The first judgment score is a written assessment score, and the written assessment score includes: Standard tester readings and test process operating specifications; The name and number of the standard that the testing process complies with; The plane dimensions of the testing room, the locations of the testing rooms, and the heights of the testing rooms; A second determination score, the second determination score comprising: Temperature data scoring, the expression for temperature data scoring is: Among them, Z1 is the temperature data score, x1 is the temperature verification data, X1 is the specified value of the temperature data, and σ1 is the standard deviation of the temperature data; Humidity data scoring, the expression of humidity data scoring is: Among them, Z2 is the humidity data score, x2 is the humidity verification data, X2 is the humidity data specified value, and σ2 is the humidity data standard deviation.

9. A method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 8, characterized in that: The total judgment score is the sum of the first judgment score and the second judgment score; The first determination score has a maximum score of 40 points, and the second determination score has a maximum score of 60 points; The scoring criteria for the temperature data scoring include: When the absolute value of the temperature data score |Z1| is ≥3, the temperature data score is judged to be good; When the absolute value of the temperature data score is 2<|Z1|<3, the temperature data score is determined to be medium; When the absolute value of the temperature data score |Z1| is ≤ 2, the temperature data score is judged to be excellent; The scoring criteria for the humidity data scoring include: When the absolute value of the humidity data score |Z1| is ≥3, the humidity data score is judged to be good; When the absolute value of the humidity data score is 2<|Z1|<3, the humidity data score is determined to be medium; When the absolute value of the humidity data score |Z1| is ≤ 2, the humidity data score is determined to be excellent; The scoring criteria for the second determination score include: When the temperature data score and the humidity data score are both judged to be excellent, the second judgment score is 60 points; When either the temperature data score or the humidity data score is judged to be medium, the second judgment score is 50 points; When the temperature data score and the humidity data score are both determined to be medium, the second determination score is 40 points; When either the temperature data score or the humidity data score is judged as medium and the other is judged as excellent, the second judgment score is 30 points; When either the temperature data score or the humidity data score is judged as medium and the other is judged as good, the second judgment score is 20 points; When both the temperature data score and the humidity data score are determined to be good, the second determination score is 0.

10. A method for evaluating the temperature and humidity detection capabilities of an inspection and testing organization according to claim 9, characterized in that: The evaluation levels in step S4 include: When the judgment score is greater than or equal to 60 points, the evaluation level is qualified; When the judgment score is less than 60 points, the evaluation level is unqualified.

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