Adaptive air supply control system and method for respiratory linkage mask

Abstract

This invention belongs to the field of face mask air supply and relates to data analysis technology. It addresses the problem that existing adaptive air supply control systems cannot adjust the air supply rate according to the user's breathing status and air quality. Specifically, it applies to an adaptive air supply control system and method for breathing-linked face masks, including a processor. The processor is communicatively connected to a breathing monitoring module, an air monitoring module, and a storage module. The breathing monitoring module monitors and analyzes the breathing status of the user wearing the breathing-linked face mask: it generates a monitoring period and divides the monitoring period into several monitoring time periods, and marks the air supply standard value using the inhalation coefficient XQ; the air supply standard value is then sent to the air monitoring module. This invention can monitor and analyze the breathing status of the user wearing the breathing-linked face mask, and then evaluate the matching degree between the air supply status and the breathing status based on the air supply rate value and the inhalation coefficient, making timely adjustments when there is a mismatch.

Description

Technical Field

[0001] The invention belongs to the field of mask air supply and relates to data analysis technology, in particular to an adaptive air supply control system and method applied to a breathing-linked mask. Background Art

[0002] The breathing-linked mask is a device that can detect the user's breathing signals in real time and automatically adjust the air supply accordingly; it uses advanced technical means to accurately capture the user's breathing status and intelligently control the mask's air supply, thereby improving the comfort and safety of the mask.

[0003] The adaptive air supply control system in the prior art cannot adjust the air supply rate according to the user's breathing state and air quality, which makes it difficult to match the air supply state with the user's inhalation state. The efficiency of the breathing linkage mask cannot be effectively improved, which affects the user experience.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an adaptive air supply control system and method for a breathing linkage mask, so as to solve the problem that the adaptive air supply control system in the prior art cannot adjust the air supply rate according to the user's breathing state and air quality;

[0006] The technical problem to be solved by the present invention is: how to provide an adaptive air supply control system and method for a breathing-linked mask that can adjust the air supply rate according to the user's breathing state and air quality.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An adaptive air supply control system applied to a breathing linkage mask includes a processor, wherein the processor is communicatively connected to a breathing monitoring module, an air monitoring module, and a storage module;

[0009] The respiratory monitoring module is used to monitor and analyze the respiratory status of users of the respiratory linkage mask: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the inhalation rate data XL, depth data SD and frequency data PC of the user using the respiratory linkage mask during the monitoring period, and perform numerical calculations to obtain the inhalation coefficient XQ of the monitoring period, and mark the air supply standard value by the inhalation coefficient XQ; send the air supply standard value to the air monitoring module;

[0010] The air monitoring module is used to monitor and analyze the air quality of the breathing linkage mask: mark the single air supply process of the breathing linkage mask within the monitoring period as the monitoring process, obtain the air quality coefficient KZ of the monitoring process and perform numerical processing on it to obtain the air quality performance value and air quality fluctuation value of the monitoring period; mark the air supply adjustment value ST by the air quality performance value and the air quality fluctuation value; and adjust the air supply rate value of the breathing linkage mask to the air supply adjustment value ST at the beginning of the next monitoring period.

[0011] As a preferred embodiment of the present invention, the inhalation rate data XL is the average inhalation rate of the user using the breathing linkage mask during the monitoring period, and the process of obtaining the depth data SD includes: obtaining the single inhalation volume of the user using the breathing linkage mask for breathing during the monitoring period, and summing and averaging all the single inhalation volumes during the monitoring period to obtain the depth data SD; the frequency data PC is the number of times the user completes a complete breathing operation using the breathing linkage mask during the monitoring period.

[0012] As a preferred embodiment of the present invention, the specific process of marking the air supply standard value includes: then obtaining the air supply rate value of the respiratory linkage mask at the end of the monitoring period, calling the inspiration-air supply comparison table through the storage module, and comparing the air supply rate value with the air supply rate range corresponding to the inspiration coefficient XQ in the inspiration-air supply comparison table: if the air supply rate value is within the air supply rate range, it is determined that the respiratory state of the monitoring period matches the air supply state, and the current air supply rate value is marked as the air supply standard value; if the air supply rate value is outside the air supply rate range, it is determined that the respiratory state of the monitoring period does not match the air supply state, and the current monitoring period is marked as the state adjustment period, and then the average value of the maximum boundary value and the minimum boundary value of the air supply rate range is marked as the air supply standard value.

[0013] As a preferred embodiment of the present invention, the process of obtaining the air quality coefficient KZ of the monitoring process includes: obtaining the air microbial content value and the particle concentration value in the monitoring process and marking them as microbial data WS and particle concentration data KN respectively, and obtaining the air quality coefficient KZ of the monitoring process through the formula KZ=k1*WS+k2*KN, wherein k1 and k2 are both proportional coefficients, and k1>k2>1.

[0014] As a preferred embodiment of the present invention, the process of obtaining the air quality performance value and the air quality fluctuation value of the monitoring period includes: summing and averaging the air quality coefficients KZ of all monitoring processes within the monitoring period to obtain the air quality performance value of the monitoring period, and performing variance calculation on the air quality coefficients KZ of all monitoring processes within the monitoring period to obtain the air quality fluctuation value of the monitoring period.

[0015] As a preferred embodiment of the present invention, the specific process of marking the air supply adjustment value ST includes: obtaining the air quality performance threshold and the air quality fluctuation threshold through the storage module, and comparing the air quality performance value and the air quality fluctuation value of the monitoring period with the air quality performance threshold and the air quality fluctuation threshold respectively: if the air quality performance value is less than the air quality performance threshold and the air quality fluctuation value is less than the air quality fluctuation threshold, then it is determined that the supply air quality during the monitoring period meets the requirements; otherwise, it is determined that the supply air quality during the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an air quality adjustment period; the supply air adjustment value ST is obtained by the formula ST=t1*SF, wherein SF is the numerical value of the supply air standard value, t1 is a numerical constant, and the value determination process of t1 includes: if the supply air quality during the monitoring period meets the requirements, then t1=1; if the supply air quality during the monitoring period does not meet the requirements, then 0.75≤t1≤0.85.

[0016] The adaptive air supply control method applied to a breathing linkage mask comprises the following steps:

[0017] Step 1: Perform respiratory status monitoring and analysis on users of respiratory linkage masks: Generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the inhalation rate data XL, depth data SD and frequency data PC of the user using the respiratory linkage mask during the monitoring period, and perform numerical calculations to obtain the inhalation coefficient QX of the monitoring period;

[0018] Step 2: Retrieve the air intake-air supply comparison table through the storage module, find the air supply rate range corresponding to the air intake coefficient XQ in the air intake-air supply comparison table, compare the air supply rate value with the air supply rate range, and mark the air supply standard value according to the comparison result;

[0019] Step 3: Monitor and analyze the air quality of the breathing-linked mask: mark the single air supply process of the breathing-linked mask during the monitoring period as the monitoring process, perform numerical calculations on the microbial data WS and particle concentration data KN of all monitoring processes to obtain the air quality performance value and air quality fluctuation value, and mark the air supply adjustment value ST through the air quality performance value and air quality fluctuation value.

[0020] The present invention has the following beneficial effects:

[0021] 1. The respiratory monitoring module can monitor and analyze the respiratory status of users wearing respiratory linkage masks. The multiple inhalation parameters of the users can be statistically analyzed in a time-division monitoring manner to obtain the inhalation coefficient. Then, the matching degree between the air supply status and the respiratory status can be evaluated based on the air supply rate value and the inhalation coefficient, and timely adjustments can be made when there is a mismatch.

[0022] 2. The air quality of the breathing linkage mask can be monitored and analyzed through the air monitoring module. The air quality parameters of the monitoring process can be analyzed and calculated to obtain the air quality coefficient. The air quality can be evaluated through the air quality coefficient. Then, when the air quality is unqualified, the air supply rate value can be fine-tuned to meet the user's breathing needs while reducing the damage caused to the user by low-quality air.

[0023] 3. The verification and analysis module can be used to verify and analyze the actual air supply status and the overall air quality. When the actual air supply status is abnormal, the air intake-air supply comparison table can be optimized to improve the accuracy of the air intake-air supply comparison table. When the overall air quality is abnormal, the structure of the mask can be optimized to improve its filtration efficiency and improve the user's inhaled air quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0026] Figure 2 is a system block diagram of Embodiment 2 of the present invention;

[0027] Figure 3 This is a flow chart of the method of embodiment 3 of the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0029] Embodiment 1

[0030] like Figure 1 As shown, an adaptive air supply control system applied to a breathing linkage mask includes a processor, and the processor is communicatively connected to a breathing monitoring module, an air monitoring module and a storage module.

[0031] The respiratory monitoring module is used to monitor and analyze the respiratory status of users of respiratory linkage masks: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the inhalation rate data XL, depth data SD and frequency data PC of the user using the respiratory linkage mask during the monitoring period, the inhalation rate data XL is the average value of the inhalation rate of the user using the respiratory linkage mask during the monitoring period, and the acquisition process of the depth data SD includes: obtaining the single inhalation volume of the user using the respiratory linkage mask during the monitoring period, and summing and averaging all the single inhalation volumes during the monitoring period to obtain the depth data SD; the frequency data PC is the number of times the user completes a complete breathing operation using the respiratory linkage mask during the monitoring period; through the formula The inhalation coefficient XQ of the monitoring period is obtained, where y1, y2 and y3 are all proportional coefficients, and y1>y2>y3>1; then the air supply rate value of the respiratory linkage mask at the end of the monitoring period is obtained, and the inhalation-air supply comparison table is called up through the storage module. The air supply rate range corresponding to the inhalation coefficient XQ in the inhalation-air supply comparison table is compared with the air supply rate range: if the air supply rate value is within the air supply rate range, it is determined that the respiratory state of the monitoring period matches the air supply state, and the current air supply rate value is marked as the air supply standard value; if the air supply rate value is within If the air supply rate is outside the range, it is determined that the respiratory state and the air supply state in the monitoring period do not match, the current monitoring period is marked as the state adjustment period, and then the average value of the maximum boundary value and the minimum boundary value of the air supply rate range is marked as the air supply standard value; the air supply standard value is sent to the air monitoring module; the respiratory state of the user of the respiratory linkage mask is monitored and analyzed, and the user's multiple inhalation parameters are statistically analyzed and analyzed in a time-division monitoring manner to obtain the inhalation coefficient, and then the degree of match between the air supply state and the respiratory state is evaluated according to the air supply rate value and the inhalation coefficient, and timely adjustments are made when there is a mismatch.

[0032] The air monitoring module is used to monitor and analyze the air quality of the breathing linkage mask: mark the single air supply process of the breathing linkage mask within the monitoring period as the monitoring process, obtain the air microbial content value and the particle concentration value within the monitoring process and mark them as microbial data WS and particle concentration data KN respectively, and obtain the air quality coefficient KZ of the monitoring process through the formula KZ=k1*WS+k2*KN, where k1 and k2 are both proportional coefficients, and k1>k2>1; sum and average the air quality coefficients KZ of all monitoring processes within the monitoring period to obtain the air quality performance value of the monitoring period, calculate the variance of the air quality coefficients KZ of all monitoring processes within the monitoring period to obtain the air quality fluctuation value of the monitoring period, obtain the air quality performance threshold and the air quality fluctuation threshold through the storage module, and compare the air quality performance value and the air quality fluctuation value of the monitoring period with the air quality performance threshold and the air quality fluctuation threshold respectively: if the air quality performance value is less than the air quality performance threshold and the air quality fluctuation value is less than the air quality fluctuation threshold , it is determined that the air quality of the air supply during the monitoring period meets the requirements; otherwise, it is determined that the air quality of the air supply during the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an air quality adjustment period; the air supply adjustment value ST is obtained by the formula ST=t1*SF, where SF is the value of the air supply standard value, t1 is a numerical constant, and the value determination process of t1 includes: if the air quality of the air supply during the monitoring period meets the requirements, then t1=1; if the air quality of the air supply during the monitoring period does not meet the requirements, then 0.75≤t1≤0.85; at the beginning of the next monitoring period, the air supply rate value of the breathing linkage mask is adjusted to the air supply adjustment value ST; the air quality of the breathing linkage mask is monitored and analyzed, the air quality parameters of the monitoring process are analyzed and calculated to obtain the air quality coefficient, the air quality is evaluated by the air quality coefficient, and then the air supply rate value is fine-tuned when the air quality is unqualified, so as to meet the user's inhalation needs while reducing the damage caused to the user by low-quality air.

[0033] Embodiment 2

[0034] like Figure 2As shown, the processor is also communicatively connected with a verification and analysis module, and the verification and analysis module includes an air supply verification unit and an air quality verification unit. The air supply verification unit is used to verify and analyze the air supply state of the respiratory linkage mask: at the end of the monitoring period, the continuous value LX, the prominent value TC and the adjustment value TJ of the monitoring period are obtained, and the adjustment value TJ is the number value of the state adjustment period in the monitoring period. The acquisition process of the continuous value LX includes: a regulation period group is formed by continuous state adjustment periods, and the number of the adjustment period group is marked as the continuous value LX; the acquisition process of the prominent value TC includes: the number of state adjustment periods in the adjustment period group is marked as the composition value of the adjustment period group, and the maximum value of the composition value of all the adjustment period groups is marked as Prominent value TC; the wind calibration coefficient FJ of the monitoring period is obtained through the formula FJ=m1*TC+m2*TC+m3*LX, wherein m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1; the wind calibration threshold FJmax is obtained through the storage module, and the wind calibration coefficient FJ is compared with the wind calibration threshold FJmax: if the wind calibration coefficient FJ is less than the wind calibration threshold FJmax, it is determined that the actual air supply state of the breathing linkage mask during the monitoring period meets the requirements; if the wind calibration coefficient FJ is greater than or equal to the wind calibration threshold FJmax, it is determined that the actual air supply state of the breathing linkage mask during the monitoring period does not meet the requirements, and a control optimization signal is generated and sent to the mobile phone terminal of the management personnel.

[0035] The air quality verification unit is used to verify and analyze the air quality of the breathing linkage mask: at the end of the monitoring period, the number of air quality adjustment periods in the monitoring period is obtained and marked as the air verification value, the air verification threshold is obtained through the storage module, and the air verification value is compared with the air verification threshold: if the air verification value is less than the air verification threshold, it is determined that the actual air supply quality of the breathing linkage mask in the monitoring period meets the requirements; if the air verification value is greater than or equal to the air verification threshold, it is determined that the actual air supply quality of the breathing linkage mask in the monitoring period does not meet the requirements, and a filtering optimization signal is generated and sent to the mobile phone terminal of the administrator; the actual air supply status and the overall air quality are verified and analyzed, and the air intake-air supply comparison table is optimized when the actual air supply status is abnormal to improve the accuracy of the air intake-air supply comparison table, and the structure of the mask is optimized when the overall air quality is abnormal to improve its filtering efficiency and improve the user's inhaled air quality.

[0036] Embodiment 3

[0037] like Figure 3 As shown, the adaptive air supply control method applied to the breathing linkage mask includes the following steps:

[0038] Step 1: Perform respiratory status monitoring and analysis on users of respiratory linkage masks: Generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the inhalation rate data XL, depth data SD and frequency data PC of the user using the respiratory linkage mask during the monitoring period, and perform numerical calculations to obtain the inhalation coefficient QX of the monitoring period;

[0039] Step 2: Retrieve the air intake-air supply comparison table through the storage module, find the air supply rate range corresponding to the air intake coefficient XQ in the air intake-air supply comparison table, compare the air supply rate value with the air supply rate range, and mark the air supply standard value according to the comparison result;

[0040] Step 3: Monitor and analyze the air quality of the breathing linkage mask: mark the single air supply process of the breathing linkage mask during the monitoring period as the monitoring process, perform numerical calculations on the microbial data WS and particle concentration data KN of all monitoring processes to obtain the air quality performance value and air quality fluctuation value, and mark the air supply adjustment value ST by the air quality performance value and air quality fluctuation value;

[0041] Step 4: Verify and analyze the air supply status of the respiratory linkage mask: At the end of the monitoring period, obtain the continuous value LX, the protruding value TC and the adjustment value TJ of the monitoring period and perform numerical calculations to obtain the air calibration coefficient FJ of the monitoring period. Use the air calibration coefficient FJ to determine whether the actual air supply status of the respiratory linkage mask during the monitoring period meets the requirements;

[0042] Step 5: Verify and analyze the air quality of the breathing linkage mask: At the end of the monitoring period, obtain the number of air quality adjustment periods in the monitoring period and mark it as the air verification value. Use the air verification value to determine whether the actual air supply quality of the breathing linkage mask in the monitoring period meets the requirements.

[0043] The invention discloses an adaptive air supply control system and method for a breathing linkage mask. When working, a monitoring cycle is generated and divided into several monitoring periods. The inhalation rate data XL, depth data SD and frequency data PC of the user using the breathing linkage mask in the monitoring period are obtained, and numerical calculation is performed to obtain the inhalation coefficient QX in the monitoring period. The storage module is used to retrieve the inhalation-air supply comparison table, and the air supply rate range corresponding to the inhalation coefficient XQ in the inhalation-air supply comparison table is compared with the air supply rate range, and the air supply standard value is marked according to the comparison result. The single air supply process of the breathing linkage mask in the monitoring period is marked as the monitoring process, and the microbial data WS and the particle concentration data KN of all monitoring processes are numerically calculated to obtain the air quality performance value and the air quality fluctuation value, and the air supply adjustment value ST is marked according to the air quality performance value and the air quality fluctuation value.

[0044] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0045] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple groups of sample data and sets a corresponding air intake coefficient for each group of sample data; substitutes the set air intake coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of α1, α2 and α3, which are 3.47, 2.84 and 2.15 respectively;

[0046] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding inspiration coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the inspiration coefficient is proportional to the value of the absorption rate data.

[0047] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0048] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An adaptive air supply control system applied to a breathing-linked mask, characterized in that: It includes a processor, wherein the processor is communicatively connected with a respiratory monitoring module, an air monitoring module and a storage module; The respiratory monitoring module is used to monitor and analyze the respiratory status of users of the respiratory linkage mask: generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, obtain the inhalation rate data XL, depth data SD and frequency data PC of the user using the respiratory linkage mask during the monitoring period, and perform numerical calculations to obtain the inhalation coefficient XQ of the monitoring period, and mark the air supply standard value by the inhalation coefficient XQ; send the air supply standard value to the air monitoring module; The air monitoring module is used to monitor and analyze the air quality of the breathing linkage mask: mark the single air supply process of the breathing linkage mask within the monitoring period as the monitoring process, obtain the air quality coefficient KZ of the monitoring process and perform numerical processing on it to obtain the air quality performance value and air quality fluctuation value of the monitoring period; mark the air supply adjustment value ST according to the air quality performance value and air quality fluctuation value; At the beginning of the next monitoring period, the air supply rate value of the breathing linkage mask is adjusted to the air supply adjustment value ST; The inhalation rate data XL is the average inhalation rate of the user using the breathing linkage mask during the monitoring period. The acquisition process of the depth data SD includes: obtaining the single inhalation volume of the user using the breathing linkage mask during the monitoring period, and summing and averaging all the single inhalation volumes during the monitoring period to obtain the depth data SD; the frequency data PC is the number of times the user completes a complete breathing operation using the breathing linkage mask during the monitoring period; By formula The inhalation coefficient XQ of the monitoring period is obtained, wherein y1, y2 and y3 are all proportional coefficients, and y1>y2>y3>1; The specific process of marking the air supply standard value includes: then obtaining the air supply rate value of the respiratory linkage mask at the end of the monitoring period, calling the inhalation-air supply comparison table through the storage module, and comparing the air supply rate value with the air supply rate range corresponding to the inhalation coefficient XQ in the inhalation-air supply comparison table: if the air supply rate value is within the air supply rate range, it is determined that the respiratory state of the monitoring period matches the air supply state, and the current air supply rate value is marked as the air supply standard value; if the air supply rate value is outside the air supply rate range, it is determined that the respiratory state of the monitoring period does not match the air supply state, and the current monitoring period is marked as the state adjustment period, and then the average value of the maximum boundary value and the minimum boundary value of the air supply rate range is marked as the air supply standard value; The process of obtaining the air quality coefficient KZ of the monitoring process includes: obtaining the air microbial content value and the particle concentration value in the monitoring process and marking them as microbial data WS and particle concentration data KN respectively, and obtaining the air quality coefficient KZ of the monitoring process through the formula KZ=k1*WS+k2*KN, wherein k1 and k2 are both proportional coefficients, and k1>k2>1; The process of obtaining the air quality performance value and air quality fluctuation value of the monitoring period includes: summing and averaging the air quality coefficients KZ of all monitoring processes in the monitoring period to obtain the air quality performance value of the monitoring period, and performing variance calculation on the air quality coefficients KZ of all monitoring processes in the monitoring period to obtain the air quality fluctuation value of the monitoring period; The specific process of marking the air supply adjustment value ST includes: obtaining the air quality performance threshold and the air quality fluctuation threshold through the storage module, and comparing the air quality performance value and the air quality fluctuation value of the monitoring period with the air quality performance threshold and the air quality fluctuation threshold respectively: if the air quality performance value is less than the air quality performance threshold and the air quality fluctuation value is less than the air quality fluctuation threshold, then it is determined that the air supply air quality during the monitoring period meets the requirements; otherwise, it is determined that the air supply air quality during the monitoring period does not meet the requirements, and the corresponding monitoring period is marked as an air quality adjustment period; the air supply adjustment value ST is obtained by the formula ST=t1*SF, where SF is the numerical value of the air supply standard value, t1 is a numerical constant, and the value determination process of t1 includes: if the air supply air quality during the monitoring period meets the requirements, then t1=1; if the air supply air quality during the monitoring period does not meet the requirements, then 0.75≤t1≤0.85.

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