A method for detecting volatile substances from school uniforms

Abstract

The invention discloses a method for detecting volatiles in school uniforms, and relates to the technical field of detecting volatiles in school uniforms. A sample collection preparation module is used to collect historical data of school uniform samples and relevant background data of a detection room and an instrument. A detection calculation module is used to calculate and output the volatile concentration and volatility index of the school uniform samples under different conditions in the detection room, and a comprehensive volatile index of the school uniform samples is calculated and output. From the sample collection preparation module, benchmark data of school uniform safety samples is extracted, and a detection feedback unit in the detection calculation module is used to compare detection results and obtain detection conclusions. The invention comprehensively introduces volatility performance under normal temperature and motion conditions, as well as relevant background influencing factors of the detection room and the instrument, thereby improving the accuracy and reliability of detection, and a circular feedback mechanism enables the detection results to directly guide the optimization and adjustment of school uniform samples.

Description

Technical Field

[0001] The invention relates to the technical field of school uniform volatile matter detection, and in particular to a school uniform volatile matter detection method. Background Art

[0002] School uniforms are clothes worn by students every day, and their safety and comfort are directly related to students' health. However, during the production and use process, school uniforms contain various types of volatiles, which come from dyes, printing processes and other chemical treatment agents. These volatiles can easily enter the human body through the respiratory tract, digestive tract and skin, posing potential hazards to human health. Long-term exposure to high concentrations of volatiles may cause dizziness, nausea, and vomiting, and may cause more serious health problems, such as nervous system damage, liver and kidney damage. Therefore, in order to ensure the safety and health of students, it is important to test school uniforms for volatiles.

[0003] At present, the existing technology ignores the impact of exercise and sweat on volatility under actual wearing conditions, which makes it difficult for the test results to fully reflect the volatility of school uniforms in actual use. In addition, the existing technology lacks an effective feedback mechanism, making it difficult to further optimize and adjust school uniform samples based on the test results, which limits the practical application value of school uniform volatile matter detection technology. Summary of the invention

[0004] The purpose of the present invention is to provide a method for detecting volatile substances in school uniforms, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows:

[0006] S1: Use the sample collection preparation module to collect historical data of n school uniform samples with the same production process and material composition as the current school uniform sample, as well as relevant background data of the testing room and instruments;

[0007] S2: Using the detection calculation module, calculate and output the volatile matter concentration and volatility index of the school uniform samples under different conditions in the detection room;

[0008] S3: Combine the volatile matter concentration and volatility index under normal temperature and sweating conditions to calculate and output the comprehensive volatile matter index of the school uniform sample;

[0009] S4: extracting the benchmark data of the school uniform safety sample from the sample collection preparation module, and using the detection feedback unit in the detection calculation module to compare the detection results and draw a detection conclusion;

[0010] The detection and calculation module includes, in addition to the detection feedback unit, an initial volatile matter concentration detection unit, a school uniform volatile performance reflection unit and a volatile performance comprehensive reflection unit.

[0011] Optionally, the equipment used in the sample collection preparation module includes a detection instrument, a constant temperature device, and a motion simulation device;

[0012] The equipment used by the detection and calculation module includes data processing equipment.

[0013] Optionally, the calculation formula of the initial volatile matter concentration detection unit is as follows:

[0014] ;

[0015] CN y =CN c ×(1+a×b);

[0016] a=(V y -V j ) / V j ;

[0017] b=(V h -V wh ) / V wh ;

[0018] in:

[0019] CN c is the initial concentration of volatiles at room temperature;

[0020] CN y is the initial concentration of volatiles under motion;

[0021] YZ is the quality of the school uniform sample;

[0022] H is the volatile content;

[0023] T is the volume of the detection chamber;

[0024] ET is the volume ratio of other gases, which reflects the ratio of the volume of other gases in the detection chamber to the volume T of the detection chamber;

[0025] L is the sensitivity of the testing instrument, and L represents the sensitivity marked on the production performance list of the testing instrument;

[0026] XJ is the current air tightness test value, J is the initial reference value of air tightness, and J represents the air tightness measured for the first time after the test room is built;

[0027] a is the influence coefficient, which reflects the influence of different motion conditions on the volatilization rate;

[0028] Vy is the release rate under motion conditions, V j is the release rate under static conditions;

[0029] b is the impact factor, which reflects the degree of influence on the volatilization rate under different sweat conditions;

[0030] V h is the release rate under sweat conditions, V wh The release rate is under no sweat conditions.

[0031] Optionally, the calculation formula reflecting the volatile performance unit of school uniforms is as follows:

[0032] ;

[0033] ;

[0034] A = BL × (T / YZ);

[0035] B=V y -V j ;

[0036] in:

[0037] CH ’ c is the volatility index at room temperature;

[0038] CH ’ y is the volatility index under motion;

[0039] JH is the initial volatility index of the test room, and JH represents the volatility index measured for the first time after the test room was built;

[0040] C is the number of ventilations, which reflects the total number of ventilations that have occurred during the current test;

[0041] HT is the current ventilation volume;

[0042] A is the volatile release rate constant;

[0043] BL is the volatilization change rate, which reflects the change rate of volatile concentration release over time;

[0044] B is the increment of volatile release rate;

[0045] N is the concentration of volatiles, which reflects the concentration of volatiles in the current detection room;

[0046] S is the volatilization time, which reflects the time from the beginning of volatilization to detection of volatiles under normal temperature conditions;

[0047] ES is the additional volatilization time, which reflects the length of time that volatilization takes place under exercise conditions compared with normal temperature conditions.

[0048] Optionally, the ventilation frequency C and the current ventilation volume HT reflect the simulated ventilation environment currently detected, for two situations of normal temperature in the classroom and exercise outdoors, " "and" The ventilation frequency C and the current ventilation volume HT parameter values ​​in the two calculation formulas have the same meaning, but according to the situation, the parameter values ​​detected under the current normal temperature and exercise conditions are brought in.

[0049] Optionally, the calculation formula for comprehensively reflecting the volatility performance unit is as follows:

[0050] ;

[0051] W = (XW-JW) / JW;

[0052] Q = (XJ-J) / J;

[0053] ;

[0054] in:

[0055] ZH is the comprehensive volatile index;

[0056] W is the temperature regulation coefficient;

[0057] XW is the current temperature value at room temperature, JW is the initial temperature value at room temperature, and JW reflects the temperature in the test room before the school uniform test at room temperature;

[0058] Q is the airtight adjustment factor;

[0059] X is the accuracy of the testing instrument, and X represents the testing accuracy marked on the production performance list of the testing instrument;

[0060] WC is the detection error;

[0061] n is the total number of samples, which reflects the total number of school uniform samples with the same production process and material composition;

[0062] ZH i is the comprehensive volatile index of the nth sample, ZH avg It is the average index of comprehensive volatile matter.

[0063] Optionally, the adjustment steps based on the comprehensive volatile index ZH and the comprehensive volatile index ZH of the school uniform safety sample are as follows:

[0064] If the current comprehensive volatile index ZH is lower than the comprehensive volatile index ZH of the school uniform safety sample, it reflects that the current volatile detection of the school uniform sample is in safe conditions;

[0065] If the current comprehensive volatile index ZH is higher than the comprehensive volatile index ZH of the school uniform safety sample, it reflects that the volatile detection of the current school uniform sample is in dangerous conditions.

[0066] Optionally, if the current school uniform sample volatile matter detection is in a dangerous condition, when the volatility index CH ’ c and volatility index CH under motion ’ y The volatility index CH of the school uniform safety sample at room temperature ’ c and volatility index CH under motion ’ y Conduct analysis and test conclusions;

[0067] If the volatility index CH ’ c Higher volatility index CH than school uniform safety samples at room temperature ’ c , then the volatile matter content H should be reduced and the ventilation frequency C should be increased during the next test;

[0068] If the volatility index CH ’ y Higher volatility index CH under exercise than school uniform safety samples ’ y , the influence coefficient a and influence factor b should be reduced in the next test.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] 1. The present invention helps to more accurately calculate the concentration and change rate of volatile substances in school uniform samples by comprehensively considering various factors in the detection room, thereby improving the accuracy and reliability of the detection, and understanding the influence of various parameters of the detection room on the detection results, which helps to optimize the detection conditions to obtain more accurate detection results.

[0071] 2. The initial volatile matter concentration detection unit and the unit reflecting the volatile properties of school uniforms of the present invention respectively calculate the initial volatile matter concentration and volatility index of school uniform samples under normal temperature and exercise conditions, which simulate different wearing conditions and environments of normal temperature and exercise to ensure the comprehensive accuracy of volatile matter detection. The unit reflecting the volatile properties comprehensively combines the volatility index under normal temperature and exercise conditions, as well as other influencing factors, to calculate a comprehensive volatile matter index, which makes the detection results more comprehensive and accurate.

[0072] 3. The unit for comprehensively reflecting volatile properties of the present invention has a circular feedback effect on the initial volatile concentration detection unit. When the calculated comprehensive volatile index ZH is compared with the comprehensive volatile index ZH of the school uniform safety sample, if the comparison result shows that the volatility is abnormal, it is further compared with the volatility index under normal temperature conditions in the unit reflecting the volatile properties of school uniforms and the volatility index of sweat and heat after simulated student exercise. This feedback mechanism helps to determine the specific cause of abnormal volatility detection and provide guidance for subsequent optimization and adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 This is the method flow chart of the volatile matter detection method of school uniforms;

[0074] Figure 2 It is a structural schematic diagram of the detection and calculation module of the present invention;

[0075] Figure 3 This is a schematic diagram of the detection calculation under different conditions of the volatile matter detection method of school uniforms;

[0076] Figure 4 A schematic diagram of detection feedback adjustment of the present invention. DETAILED DESCRIPTION

[0077] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0078] Regarding this school uniform volatile matter detection method, it is different from traditional detection methods. Traditional detection methods often only focus on the volatile matter concentration and volatile matter index under a single condition, ignoring the impact of detection environment, instruments, exercise, and sweat factors on volatile performance. This algorithm unit comprehensively introduces volatile performance under normal temperature and exercise conditions, as well as related background influencing factors of the detection room and instruments, which improves the accuracy and reliability of the detection. The loop feedback mechanism enables the detection results to directly guide the optimization and adjustment of school uniform samples.

[0079] For examples, see Figures 1 to 4 This implementation provides a method for detecting volatile substances in school uniforms. The specific implementation steps are as follows:

[0080] S1: Use the sample collection preparation module to collect historical data of n school uniform samples with the same production process and material composition as the current school uniform sample, as well as relevant background data of the testing room and instruments;

[0081] Among them, the quality sampling of school uniform samples:

[0082] Select representative school uniform samples, clean and dry them, measure the quality with precise tools and record them, and store them in a suitable environment to prevent deterioration, ensuring stable quality before testing.

[0083] Sampling of volatile content:

[0084] Prepare a well-sealed testing room, place the school uniform samples in a ventilated and clean room, set appropriate environmental conditions, use gas sampling equipment to collect volatiles, send them to the laboratory for analysis to determine the type and content, calculate relevant parameters and compare and evaluate with standard values;

[0085] Exercise condition release rate sampling process:

[0086] Prepare a sealed testing room and ensure that the testing room is well sealed to prevent outside air from interfering with the test results. Install air quality monitors, temperature sensors, humidity sensors, etc. in the testing room to monitor environmental parameters in real time.

[0087] Set exercise conditions: According to the experimental requirements, set the conditions for simulating the exercise environment, which can include using exercise equipment such as treadmills and spinning bikes, or adjusting the temperature, humidity and other environmental factors in the test room to simulate a specific exercise state.

[0088] Place the school uniform samples: Place the prepared school uniform samples at the designated location in the testing room to ensure that the samples are in full contact with the air in the testing room.

[0089] Start monitoring equipment: Start the monitoring equipment in the test room and begin recording data on environmental parameters and volatile release rates.

[0090] Record and analyze data: During the set time period, continuously record the data of volatile release rate, pay attention to the changes in environmental parameters, and calculate the release rate under motion conditions.

[0091] Release rate sampling process under static conditions:

[0092] Prepare a sealed test room and ensure that the test room has good sealing properties. In a static state, adjust the environmental parameters in the test room to standard conditions, such as temperature and humidity.

[0093] Place the school uniform sample: Place the prepared school uniform sample at the designated location in the testing room, ensuring that the sample is in full contact with the air in the testing room. Similar to sampling under sports conditions, the integrity of the sample needs to be maintained.

[0094] Start the monitoring device: Start the monitoring device and start recording the data of environmental parameters and volatile release rate. In the static state, the monitoring device will continue to record the changes in the volatile release rate.

[0095] Record and analyze data: Continuously record the data of volatile release rate during the set time period. After the experiment, organize and analyze the data to calculate the release rate under static conditions.

[0096] It should be noted that during the sampling process, it is necessary to strictly abide by the experimental specifications and standards to ensure the accuracy and reliability of the data. At the same time, it is also necessary to pay attention to safety and hygiene issues during the experiment to avoid harm to the experimenters and the environment.

[0097] Testing room volume sampling process:

[0098] The sampling process of the detection chamber volume is relatively simple and direct. When sampling, one only needs to refer to these pre-measured data to obtain the volume value of the detection chamber.

[0099] Sensitivity sampling process of detection instrument:

[0100] The sampling process of the detection instrument sensitivity also relies on prior calibration and measurement. Before the detection instrument is put into use, a series of calibration experiments are usually carried out to determine its sensitivity. This value will also be marked in the relevant location or document of the detection instrument. When sampling, you only need to refer to these calibration data to obtain the sensitivity value of the detection instrument.

[0101] Current air tightness test value sampling process:

[0102] Before testing, close all inlets and outlets of the testing room, and use air-tightness testing equipment to inflate or evacuate the testing room. By monitoring the changes in gas pressure in the testing room, calculate the air-tightness coefficient of the testing room.

[0103] Other gas volume percentage sampling process:

[0104] In the detection room, a gas analyzer is used to sample and analyze the air to determine the volume proportion of various gases therein. Through the analysis of the gas analyzer, the volume proportion data of other gases in the detection room are obtained.

[0105] S2: Using the detection calculation module, calculate and output the volatile matter concentration and volatility index of the school uniform samples under different conditions in the detection room;

[0106] S3: Combine the volatile matter concentration and volatility index under normal temperature and sweating conditions to calculate and output the comprehensive volatile matter index of the school uniform sample;

[0107] S4: extracting the benchmark data of the school uniform safety sample from the sample collection preparation module, and using the detection feedback unit in the detection calculation module to compare the detection results and draw a detection conclusion;

[0108] Among them, the detection and calculation module includes not only the detection feedback unit, but also the initial volatile matter concentration detection unit, the school uniform volatile performance reflection unit and the comprehensive volatile performance reflection unit;

[0109] The equipment used in the sample collection preparation module includes detection instruments, constant temperature devices, and simulated motion devices;

[0110] The equipment used in the detection and calculation module includes data processing equipment.

[0111] In this embodiment, the system forms a complete system of the school uniform volatile matter detection method through the cooperation of three algorithm units. c With CN y , CH ’ c With CH ’ y The three sets of calculation results, CN and ZH, can accurately evaluate the volatility of school uniform samples and judge whether the school uniforms meet the safety standards. c is the initial concentration of volatiles at room temperature, CN y The initial concentration of volatiles under exercise is obtained by accurately measuring the concentration of different volatiles in school uniform samples at room temperature and under exercise conditions, which helps to understand the content of volatile substances introduced in the school uniform materials themselves and during the production process. This is crucial for testing the wearing safety of school uniform volatiles under various conditions. ’ c is the volatility index at room temperature, CH ’ y The volatility index under exercise is calculated to help understand the changes in the volatility of school uniforms at room temperature and under exercise conditions, thereby evaluating the applicability and safety of school uniforms at room temperature and under exercise conditions. ZH is the comprehensive volatile index, which is a comprehensive and objective evaluation indicator that can comprehensively reflect the volatility of school uniforms at room temperature and under exercise conditions, as well as the influencing factors of detection airtightness, accuracy, error, and temperature. The calculation results of ZH can also be combined with CH ’ c With CH ’ y Impact feedback to CN c With CN y The calculation comprehensively reflects the circular feedback effect of the volatile performance unit on the initial volatile matter concentration detection unit, which promotes the improvement of the detection accuracy of school uniform volatile matters, as well as the quality control and improvement of school uniforms.

[0112] See also Figures 1 to 4 , the calculation formula of the initial volatile matter concentration detection unit is as follows:

[0113] ;

[0114] CN y =CN c ×(1+a×b);

[0115] a=(V y -V j ) / V j ;

[0116] b=(V h -V wh ) / V wh ;

[0117] in:

[0118] CN c is the initial concentration of volatiles at room temperature;

[0119] CN y is the initial concentration of volatiles under motion;

[0120] YZ is the quality of the school uniform sample;

[0121] H is the volatile content;

[0122] T is the volume of the detection chamber;

[0123] ET is the volume ratio of other gases, which reflects the ratio of the volume of other gases in the detection chamber to the volume T of the detection chamber;

[0124] L is the sensitivity of the testing instrument, and L represents the sensitivity marked on the production performance list of the testing instrument;

[0125] XJ is the current air tightness test value, J is the initial reference value of air tightness, and J represents the air tightness measured for the first time after the test room is built;

[0126] a is the influence coefficient, which reflects the influence of different motion conditions on the volatilization rate;

[0127] V y is the release rate under motion conditions, V j is the release rate under static conditions;

[0128] b is the impact factor, which reflects the degree of influence on the volatilization rate under different sweat conditions;

[0129] V h is the release rate under sweat conditions, V wh The release rate is under no sweat conditions.

[0130] In this embodiment: First, in this algorithm unit, " "This part calculates the relative concentration of volatiles in the school uniform samples, where YZ is the mass of the school uniform samples, H is the volatile content, T is the volume of the detection chamber, ET is the volume ratio of other gases, and L is the sensitivity of the detection instrument. Therefore, YZ×H represents the total amount of volatiles in the school uniform samples, and dividing by T×ET×L corrects and standardizes the concentration of volatiles. Such calculations can more accurately reflect the actual concentration of volatiles in the school uniform samples and provide reliable basic data for subsequent calculations." "This part calculates the correction factor related to air tightness, XJ is the current air tightness test value, J is the initial reference value of air tightness, the larger the air tightness test value, the better the air tightness of the test room, by calculating the square root of the ratio of the current air tightness test value XJ to the initial reference value of air tightness J, a correction factor proportional to the air tightness will be obtained, "(1+a×b)" This part calculates the influence of motion conditions on the concentration of volatiles, a is the influence coefficient, b is the influence factor, by calculating a×b, and then get the incremental ratio of the concentration of volatiles under motion conditions, then add 1 to get the total concentration ratio of volatiles, and the influence coefficient a is obtained by "(V y -V j ) / V j "This calculation formula simulates the release of volatiles under different motion conditions to calculate and determine the impact factor b through "(V h -V wh ) / V wh "This calculation formula simulates the release of volatile substances in a sweat environment to calculate and measure;

[0131] This algorithm unit introduces the influence coefficient a, influence factor b and parameters related to air tightness and instrument precision sensitivity, so that the initial volatile concentration detection unit can accurately reflect the volatile concentration of school uniform samples, reducing the detection error caused by environmental differences and equipment errors;

[0132] The initial volatile concentration detection unit not only considers the volatile content of the school uniform sample itself, but also considers the impact of the test room environment on the volatile performance, thereby providing a comprehensive volatile performance evaluation. As the basic data for the subsequent calculation of the volatile index and the comprehensive volatile index, its accuracy directly determines the accuracy of the subsequent evaluation;

[0133] Specifically, the parameters related to air tightness and instrument precision sensitivity in the initial volatile matter concentration detection unit make the test results closer to actual usage and reduce the detection errors caused by environmental differences and equipment errors. At the same time, by considering the influence coefficient a and influence factor b of different motion conditions, the initial volatile matter concentration detection unit can also reflect the volatility performance of school uniforms under different wearing conditions, providing more comprehensive data support for the safety assessment of school uniforms.

[0134] The relevant experimental data are as follows:

[0135] YZ=200g, YZ represents the mass of the school uniform sample. The school uniform sample used in the experiment weighs 200 grams.

[0136] H=5%, H represents the volatile matter content. Here, the volatile matter content in the school uniform sample is 5%, that is, every 100 grams of school uniform sample contains 5 grams of volatile matter.

[0137] T=1m 3 , T represents the volume of the detection chamber. Here, the volume of the detection chamber is 1 cubic meter. This volume value will be used to determine the total amount or concentration of volatile substances in the detection chamber.

[0138] ET=10%, ET represents the volume ratio of other gases, which is equivalent to the volume ratio of other gases in the detection room. Here, other gases in the detection room account for 10% of the total volume. This ratio reflects the content of other gases in the detection room except volatile substances.

[0139] L=1ppm / mV, which is the sensitivity of the detection instrument;

[0140] XJ=0.95, is the current air tightness test value;

[0141] J=0.98, which is the initial reference value of air tightness;

[0142] V y =0.002g / min, V j =0.001g / min, V y and V j They represent the release rates of volatiles under motion conditions and static conditions, respectively. Here, under motion conditions, the release rate of volatiles is 0.002 g / min; under static conditions, the release rate is 0.001 g / min. These two values ​​are used to calculate the influence coefficient a.

[0143] V h =0.003g / min, V wh =0.0015g / min, V h and V wh Here, the release rate of volatiles under sweat conditions is 0.003 g / min; under sweat conditions, the release rate is 0.0015 g / min. These two values ​​are used to calculate the impact factor b.

[0144] Substituting the above parameter values ​​into the initial volatile matter concentration detection unit, we can get CN c 50ppm, CN yThe volatility of school uniforms at room temperature and under sports conditions is 100ppm, which helps to understand the changes in the volatility of school uniforms at room temperature and under sports conditions, so as to evaluate the applicability and safety of school uniforms at room temperature and under sports conditions.

[0145] See also Figures 1 to 4 , the calculation formula reflecting the volatile performance unit of school uniforms is as follows:

[0146] ;

[0147] ;

[0148] A = BL × (T / YZ);

[0149] B=V y -V j ;

[0150] in:

[0151] CH ’ c is the volatility index at room temperature;

[0152] CH ’ y is the volatility index under motion;

[0153] JH is the initial volatility index of the test room, and JH represents the volatility index measured for the first time after the test room was built;

[0154] C is the number of ventilations, which reflects the total number of ventilations that have occurred during the current test;

[0155] HT is the current ventilation volume;

[0156] A is the volatile release rate constant;

[0157] BL is the volatilization change rate, which reflects the change rate of volatile concentration release over time;

[0158] B is the increment of volatile release rate;

[0159] N is the concentration of volatiles, which reflects the concentration of volatiles in the current detection room;

[0160] S is the volatilization time, which reflects the time from the beginning of volatilization to detection of volatiles under normal temperature conditions;

[0161] ES is the extra volatilization time, which reflects the extra volatilization time under exercise conditions compared with normal temperature conditions;

[0162] The ventilation rate C and the current ventilation volume HT reflect the simulated ventilation environment currently being tested, for two situations: normal temperature in the classroom and exercise outdoors. "and" "The ventilation frequency C and current ventilation volume HT parameter values ​​in the two calculation formulas have the same meaning, but according to the situation, the parameter values ​​detected under the current normal temperature and exercise conditions are brought in.

[0163] In this embodiment, firstly, on the basis of the initial volatile concentration, the factors of detection volatilization time and additional time, ventilation times C, initial volatility index JH of the detection chamber, volatile release rate constant A, volatile release rate increment B, and volatile concentration N are further considered, and the volatility index under normal temperature and exercise conditions is calculated. This calculation process not only reveals the change pattern of volatile concentration over time, but also reflects the influence of the detection room environment on volatility performance.

[0164] “ "and" "These two parts calculate the impact of normal temperature and motion conditions on the volatility index, and calculate the "and" ", the release amount of volatiles during ventilation is obtained, and then the influence of volatile concentration N is subtracted, and then divided by the current ventilation volume HT for standardization. This calculation can reflect the net release amount of volatiles during ventilation, and provide data support for evaluating the release rate of volatiles and ventilation efficiency. The difference between the two calculations is that due to the different ventilation release rates under normal temperature and exercise conditions, a volatile release rate increment B is added when calculating under exercise conditions." "and" "These two parts respectively calculate the influence of time factor and the sealing of the test room on the volatility index. "and" ", the correction factors related to the time factor and the sealing of the detection chamber can be obtained respectively;

[0165] By reflecting the volatile performance unit of school uniforms and taking into account the time factor, the volatile performance unit of school uniforms can reveal the changing pattern of volatile concentration over time, which is helpful to understand the volatility of school uniforms in different time periods, and then to deeply understand the volatility of school uniforms under different conditions, and evaluate the quality and safety of school uniforms accordingly. In addition, the volatile release rate constant A in the volatile performance unit of school uniforms and the volatile release rate increment B of the volatile release rate caused by exercise also provide important basis for the selection of school uniform materials and process optimization.

[0166] See also Figures 1 to 4 , the calculation formula that comprehensively reflects the volatile performance unit is as follows:

[0167] ;

[0168] W = (XW-JW) / JW;

[0169] Q = (XJ-J) / J;

[0170] ;

[0171] in:

[0172] ZH is the comprehensive volatile index;

[0173] W is the temperature regulation coefficient;

[0174] XW is the current temperature value at room temperature, JW is the initial temperature value at room temperature, and JW reflects the temperature in the test room before the school uniform test at room temperature;

[0175] Q is the airtight adjustment factor;

[0176] X is the accuracy of the testing instrument, and X represents the testing accuracy marked on the production performance list of the testing instrument;

[0177] WC is the detection error;

[0178] n is the total number of samples, which reflects the total number of school uniform samples with the same production process and material composition;

[0179] ZH i is the comprehensive volatile index of the nth sample, ZH avg It is the average index of comprehensive volatile matter.

[0180] In this embodiment, first, This part calculates the volatility index CH at room temperature under normal temperature conditions. ’ c The influence of temperature adjustment coefficient W and airtightness adjustment factor Q on the comprehensive volatile index ZH is calculated by ", a part of the comprehensive volatile index ZH under normal temperature conditions was obtained, providing data support for evaluating the volatility of school uniforms under normal temperature conditions," This part calculates the volatility index CH under exercise conditions. ’ y , the influence coefficient a under motion conditions, the detection instrument accuracy X and the detection error WC on the comprehensive volatile index ZH, and then obtain a part of the adjustment amount of the comprehensive volatile index ZH under motion conditions, " "This part calculates the effect of the initial volatile concentration on the comprehensive volatile index ZH under normal temperature and exercise conditions, and then obtains the contribution of the initial volatile concentration to the comprehensive volatile index ZH under normal temperature and exercise conditions by calculating the product;

[0181] The unit that comprehensively reflects the volatility performance comprehensively considers the volatility index under both normal temperature and exercise conditions, introduces influencing factors related to the environment and air tightness, and calculates the comprehensive volatile index ZH. This index not only reflects the overall volatility performance of school uniforms under different conditions, but also provides a more comprehensive and objective indicator for the safety assessment of school uniforms, making the test results more accurate and reliable.

[0182] See also Figures 1 to 4 The adjustment steps based on the comprehensive volatile index ZH and the comprehensive volatile index ZH of school uniform safety samples are as follows:

[0183] If the current comprehensive volatile index ZH is lower than the comprehensive volatile index ZH of the school uniform safety sample, it reflects that the current volatile detection of the school uniform sample is in safe conditions;

[0184] If the current comprehensive volatile index ZH is higher than the comprehensive volatile index ZH of the school uniform safety sample, it means that the current volatile detection of the school uniform sample is in a dangerous condition;

[0185] If the current school uniform sample volatile matter test is in dangerous conditions, when the volatility index CH ’ c and volatility index CH under motion ’ y The volatility index CH of the school uniform safety sample at room temperature ’ c and volatility index CH under motion ’ y Conduct analysis and test conclusions;

[0186] If the volatility index CH ’ c Higher volatility index CH than school uniform safety samples at room temperature ’ c , then the volatile matter content H should be reduced and the ventilation frequency C should be increased during the next test;

[0187] If the volatility index CH ’ y Higher volatility index CH under exercise than school uniform safety samples ’ y , the influence coefficient a and influence factor b should be reduced in the next test.

[0188] In this embodiment, the cyclic feedback effect of the unit reflecting the volatility performance on the initial volatile matter concentration detection unit is mainly reflected in the calculation and comparison process of the comprehensive volatile matter index ZH. When the calculated ZH is compared with the comprehensive volatile matter index ZH of the school uniform safety sample with normal volatility, if the comparison result shows that the volatility is abnormal, it is further compared with the volatility index CH at room temperature under normal temperature conditions in the unit reflecting the volatility performance of the school uniform. ’ c And the volatility index CH under the simulated student exercise with sweat and heat ’ y Comparison and analysis can be used to accurately evaluate the volatility of school uniform samples under normal temperature and sports conditions. This helps us understand the volatility of school uniform samples in different environments, thereby providing strong data support for their performance in practical applications.

[0189] Secondly, comparative analysis helps us determine the specific reasons for abnormal volatility. Whether it is under normal temperature conditions, the volatile content H of the school uniform samples is too high, the ventilation frequency C is insufficient, or under exercise conditions, the volatility influence coefficient a and the influence factor b change too fast and too much, all of which have an impact on volatility performance. Through comparative analysis, we can find out the key factors that lead to abnormal volatility and provide a clear direction for subsequent adjustments and improvements.

[0190] In summary, the volatile index ZH under normal temperature conditions is combined with the volatile index CH under normal temperature conditions. ’ c And the volatility index CH under the simulated student exercise with sweat and heat ’ y Through comparative analysis, we can obtain a series of beneficial effects, which not only help us to deeply understand the volatility characteristics of school uniform samples, but also provide important guidance for subsequent improvements and adjustments, which will help promote the development of the school uniform industry and improve the quality and performance level of school uniform products. The formed circular feedback mechanism not only helps to determine the specific causes of volatility anomalies, but also provides an important basis for quality control and improvement of school uniforms. By adjusting the experimental conditions and related influencing parameters, the volatility performance of school uniforms can be optimized and the detection accuracy can be improved.

[0191] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for detecting volatile substances in school uniforms, characterized in that: The specific implementation steps are as follows: S1: Use the sample collection preparation module to collect historical data of n school uniform samples with the same production process and material composition as the current school uniform sample, as well as relevant background data of the testing room and instruments; S2: Using the detection calculation module, calculate and output the volatile matter concentration and volatility index of the school uniform samples under different conditions in the detection room; S3: Combine the volatile matter concentration and volatility index under normal temperature and sweating conditions to calculate and output the comprehensive volatile matter index of the school uniform sample; S4: extracting the benchmark data of the school uniform safety sample from the sample collection preparation module, and using the detection feedback unit in the detection calculation module to compare the detection results and draw a detection conclusion; The detection and calculation module includes, in addition to the detection feedback unit, an initial volatile matter concentration detection unit, a school uniform volatile performance reflection unit, and a comprehensive volatile performance reflection unit; The equipment used in the sample collection preparation module includes a detection instrument, a constant temperature device, and a motion simulation device; The equipment used by the detection and calculation module includes data processing equipment; The calculation formula of the initial volatile matter concentration detection unit is as follows: ； ； ； ； in: CN c is the initial concentration of volatiles at room temperature; CN y is the initial concentration of volatiles under motion; YZ is the quality of the school uniform sample; H is the volatile content; T is the volume of the detection chamber; ET is the volume ratio of other gases, which reflects the ratio of the volume of other gases in the detection chamber to the volume T of the detection chamber; L is the sensitivity of the testing instrument, and L represents the sensitivity marked on the production performance list of the testing instrument; XJ is the current air tightness test value, J is the initial reference value of air tightness, and J represents the air tightness measured for the first time after the test room is built; a is the influence coefficient, which reflects the influence of different motion conditions on the volatilization rate; V y is the release rate under motion conditions, V j is the release rate under static conditions; b is the impact factor, which reflects the degree of influence on the volatilization rate under different sweat conditions; V h is the release rate under sweat conditions, V wh The release rate is under no sweat conditions.

2. A method for detecting volatile substances in school uniforms according to claim 1, characterized in that: The calculation formula reflecting the volatile performance unit of school uniforms is as follows: ； ； ； ； in: CH ’ c is the volatility index at room temperature; CH ’ y is the volatility index under motion; JH is the initial volatility index of the test room, and JH represents the volatility index measured for the first time after the test room was built; C is the number of ventilations, which reflects the total number of ventilations that have occurred during the current test; HT is the current ventilation volume; A is the volatile release rate constant; BL is the volatilization change rate, which reflects the change rate of volatile concentration release over time; B is the increment of volatile release rate; N is the concentration of volatiles, which reflects the concentration of volatiles in the current detection room; S is the volatilization time, which reflects the time from the beginning of volatilization to detection of volatiles under normal temperature conditions; ES is the additional volatilization time, which reflects the length of time that volatilization takes place under exercise conditions compared with normal temperature conditions.

3. A method for detecting volatile substances from school uniforms according to claim 2, characterized in that: The ventilation frequency C and the current ventilation volume HT reflect the simulated ventilation environment currently detected, for two situations of normal temperature in the classroom and exercise outdoors. " "and" The ventilation frequency C and the current ventilation volume HT parameter values ​​in the two calculation formulas have the same meaning, but according to the situation, the parameter values ​​detected under the current normal temperature and exercise conditions are brought in.

4. A method for detecting volatile substances from school uniforms according to claim 3, characterized in that: The calculation formula for the comprehensive reflection of the volatility performance unit is as follows: ； ； ； ； in: ZH is the comprehensive volatile index; W is the temperature regulation coefficient; XW is the current temperature value at room temperature, JW is the initial temperature value at room temperature, and JW reflects the temperature in the test room before the school uniform test at room temperature; Q is the airtight adjustment factor; X is the accuracy of the testing instrument, and X represents the testing accuracy marked on the production performance list of the testing instrument; WC is the detection error; n is the total number of samples, which reflects the total number of school uniform samples with the same production process and material composition; ZH i is the comprehensive volatile index of the nth sample, ZH avg is the average index of comprehensive volatiles; This part calculates the volatility index CH at room temperature under normal temperature conditions. ’ c The influence of temperature adjustment coefficient W and airtightness adjustment factor Q on the comprehensive volatile index ZH is calculated by , and obtain part of the comprehensive volatile index ZH under normal temperature conditions, providing data support for evaluating the volatility of school uniforms under normal temperature conditions; This part calculates the volatility index CH under exercise conditions ’ y , the influence of the influence coefficient a under motion conditions, the detection instrument accuracy X and the detection error WC on the comprehensive volatile index ZH, and then obtain a part of the adjustment amount of the comprehensive volatile index ZH under motion conditions; This part calculates the influence of the initial volatile concentration under normal temperature and exercise conditions on the comprehensive volatile index ZH. By calculating the product, the contribution of the initial volatile concentration under normal temperature and exercise conditions to the comprehensive volatile index ZH is obtained.

5. A method for detecting volatile substances from school uniforms according to claim 4, characterized in that: The adjustment steps based on the comprehensive volatile index ZH and the comprehensive volatile index ZH of the school uniform safety sample are as follows: If the current comprehensive volatile index ZH is lower than the comprehensive volatile index ZH of the school uniform safety sample, it reflects that the current volatile detection of the school uniform sample is in safe conditions; If the current comprehensive volatile index ZH is higher than the comprehensive volatile index ZH of the school uniform safety sample, it reflects that the volatile detection of the current school uniform sample is in dangerous conditions.

6. A method for detecting volatile substances from school uniforms according to claim 5, characterized in that: If the current school uniform sample volatile matter detection is in a dangerous condition, when the volatility index CH ’ c and volatility index CH under motion ’ y The volatility index CH of the school uniform safety sample at room temperature ’ c and volatility index CH under motion ’ y Conduct analysis and test conclusions; If the volatility index CH ’ c Higher volatility index CH than school uniform safety samples at room temperature ’ c , then the volatile matter content H should be reduced and the ventilation frequency C should be increased during the next test; If the volatility index CH ’ y Higher volatility index CH under exercise than school uniform safety samples ’ y , the influence coefficient a and influence factor b should be reduced in the next test.

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