CN115789904B - Intelligent air volume control system and control method for inhibiting new crown pneumonia propagation risk - Google Patents

Intelligent air volume control system and control method for inhibiting new crown pneumonia propagation risk Download PDF

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CN115789904B
CN115789904B CN202310063761.0A CN202310063761A CN115789904B CN 115789904 B CN115789904 B CN 115789904B CN 202310063761 A CN202310063761 A CN 202310063761A CN 115789904 B CN115789904 B CN 115789904B
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air
fresh air
air valve
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CN115789904A (en
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崔璨
薛璟
苏明伟
黎明
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Ocean University of China
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Abstract

The invention relates to the technical field of ventilation control, and provides an intelligent air volume control system and method for inhibiting propagation risk of new coronaries pneumonia. Determining the metabolic intensity coefficient and the respiration rate of the human body of the indoor personnel according to the total number of the indoor personnel and the occupancy rate of the personnel wearing the mask; according to the number of indoor infectious people, the initial virus generation amount and the virus attenuation rate; calculating the infection probability; and calculating indoor minimum required fresh air quantity according to the infection probability. And the air valve controller adjusts the opening of the air valve according to the minimum required fresh air quantity. The method provided by the invention can obtain a more real and reliable minimum fresh air quantity value capable of controlling the infection risk below the safety threshold, adjusts the opening of the air valve of the system arranged in the indoor terminal device, sends the required fresh air quantity into the indoor, and can reduce the virus diffusion risk.

Description

Intelligent air volume control system and control method for inhibiting new crown pneumonia propagation risk
Technical Field
The invention relates to the technical field of ventilation system control, in particular to an intelligent air volume control system and method for inhibiting the spreading risk of new crown pneumonia.
Background
New coronapneumonia (COVID-19) is an infectious respiratory disease caused by a novel SARS-CoV-2 virus, has strong transmissibility, and causes great pressure on health departments and society due to the rapid increase of cases, so that it is important to develop an effective epidemic prevention control strategy to prevent the transmission of the virus and reduce the infection risk. Most of the infection with covd-19 occurs in indoor environments, the main transmission route being airborne. Ventilation is important to limit spread of covd-19 in indoor air by artificially introducing fresh air outside the room to dilute and replace aerosol particles with infectious virus inside the room to reduce the risk of infection and spread of the virus.
During viral outbreak, according to 30m 3 The ventilation criteria/h/person are far from adequate for preventing and controlling viral transmission, and in order to minimize the risk of infection, the optimal fresh air requirement for most indoor environments is near or slightly below 60m after considering the combined effects of various mitigation measures 3 Per h/person, taking maximum limitA measure of ventilation inevitably results in a great waste of energy. However, 2022 has entered a period of stable virus flow with only a few people infected, and continuing to perform the same high-intensity intervention as the outbreak period causes great resource waste. And blindly reducing the indoor fresh air volume can also increase the risk of virus propagation in the room. Therefore, the ventilation of the indoor environment needs to be dynamically adjusted and controlled, and the energy saving of the building is realized on the basis of ensuring the safety and the health of indoor personnel.
In controlling the risk of spread of the covd-19 in indoor environments, ventilation requirements are measured primarily by viral quantum emissions, and the required outdoor fresh air volume is calculated by quantum emissivity and infection probability based on the Wells-Riley model. The model provides a quantitative relationship between infection risk and fresh air volume with the virus production rate unchanged. However, the Wells-Riley model and the majority of models based thereon have several limitations. Most models are built on assumptions which in many cases tend to be unrealistic. Therefore, the estimated infection risk is inaccurate, and the calculated fresh air quantity is greatly deviated from the actual demand.
The Wells-Riley model implicitly assumes that quantum accumulation is a time independent process, with a fixed probability (63.2%) of each quantum carrying out an infection. I.e. the probability of infection is only related to the total amount of inhaled pathogen, not to the length of contact time; and pathogens that accumulate over time are more likely to overwhelm the immune system than if they were exposed to low levels of pathogens over a long period of time, such time-independent assumptions are not always practical, and may lead to errors, particularly when the exposure period is relatively long. Furthermore, the Wells-Riley model assumes that the respiration rate of the human body is stable. However, in different indoor environments, the behaviors and environmental characteristics of the personnel are very different, and the physical activities (such as exercise, standing and sitting) performed indoors affect the metabolism rate of the human body, and the metabolism intensity inevitably affects the inhalation and exhalation efficiency of the infected person and the infected person on viruses, so as to affect the estimation of the infection risk. Moreover, the Wells-Riley model does not consider the influence of physical epidemic prevention measures such as mask wearing on the inhalation efficiency of virus quanta. Meanwhile, the literature proves that the infection risk can be effectively reduced by wearing the filtering mask.
Disclosure of Invention
The invention aims to solve the problem of indoor fresh air regulation control in a virus transmission environment so as to reduce the risk of indoor virus transmission.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows.
An intelligent air volume control system for inhibiting the spreading risk of new crown pneumonia comprises a fresh air system, a face detection system and a control system;
the fresh air system comprises: the system comprises a fresh air machine, an indoor fresh air pipeline and an indoor exhaust pipeline; the outdoor fresh air pipeline is connected with the indoor fresh air pipeline through a fresh air fan, and the indoor exhaust pipeline is connected with the outdoor exhaust pipeline through a fresh air fan; the indoor fresh air pipeline comprises an indoor air outlet, and the indoor air outlet is provided with: an air valve, an air valve controller and an air flow measuring device; the air valve controller receives a control system instruction to control the opening degree of the air valve;
the face detection system comprises an image acquisition device, a control system and a face detection system, wherein the image acquisition device is arranged at an indoor door and is communicated with the control system and used for detecting the number of people entering the room and whether the people wear a mask or not;
the control system counts the proportion of the mask in the indoor personnel based on the image acquired by the face detection system; the control system further calculates the minimum required fresh air quantity, the fresh air quantity corresponds to the indoor design air supply quantity, and the air valve controller controls the opening of the air valve based on the minimum required fresh air quantity;
the controller is configured to calculate a minimum required fresh air volume as follows:
Figure SMS_1
wherein:
Figure SMS_4
is the number of people infected indoors and is->
Figure SMS_6
Representing the initial rate of quantum generation at the onset of symptoms, < >>
Figure SMS_9
Is the metabolic intensity coefficient of the indoor environment, +.>
Figure SMS_3
Is the lung respiration rate (m) of the indoor person 3 /s),/>
Figure SMS_7
The number of people with masks in the room is equal to the ratio +.>
Figure SMS_10
Is the filtering efficiency of the mask, and is->
Figure SMS_11
Total exposure time in the viral environment for indoor susceptible persons; />
Figure SMS_2
Is the time since the occurrence of symptoms for the infected person;γa decay rate indicative of a pathogen accumulated in the respiratory tract of the susceptible individual; />
Figure SMS_5
Is the lung respiration rate of indoor personnel, +.>
Figure SMS_8
Indicating the total number of people in the room.
Calculating indoor minimum required fresh air quantity
Figure SMS_12
The formula of (2) is>
Figure SMS_13
>0, the ventilation is further designed as follows:
if it is
Figure SMS_14
>0, according to infection probability and basic reproduction number of virus +.>
Figure SMS_15
Limiting conditions which need to be controlled within 1, and calculating indoor minimum required fresh air quantity +.>
Figure SMS_16
Figure SMS_17
Figure SMS_18
;/>
If it is
Figure SMS_19
The total indoor number is 0, the number of infected persons is 0, and ventilation is carried out according to the lowest fresh air design standard in the normal period;
if it is
Figure SMS_20
Less than or equal to 0 and%>
Figure SMS_21
Or->
Figure SMS_22
According to 60m 3 The ventilation is carried out or maximum ventilation measures are taken according to the/h/person standard.
In some embodiments of the present invention, an air volume measuring device is further disposed at the indoor air outlet, and is used for detecting the actual air volume of the air valve outlet; the control system further adjusts the opening of the air valve based on the difference value between the indoor actual air supply value measured at the air outlet of the air valve and the indoor design air supply quantity corresponding to the fresh air quantity.
In some embodiments of the present invention, the face detection system further includes a temperature sensing device for detecting the body temperature of the person entering the room.
Some embodiments of the present invention further provide an intelligent air volume control method for inhibiting spread risk of a covd-19, including the following steps:
s1: counting total number of indoor personnel
Figure SMS_23
And the proportion of the wearer who wears the mask>
Figure SMS_24
Determining the metabolic intensity coefficient of the human body of the indoor personnel>
Figure SMS_25
Respiratory rate->
Figure SMS_26
S2: determining the number of people who are infected indoors
Figure SMS_27
Initial viral Quantum Generation Rate at symptomatic onset +.>
Figure SMS_28
Attenuation rate of pathogens accumulated in respiratory tract of person susceptible to infectionγThe method comprises the steps of carrying out a first treatment on the surface of the Calculating infection probability->
Figure SMS_29
Figure SMS_30
Wherein:
Figure SMS_32
is the number of people easy to be infected in the room, +.>
Figure SMS_34
For the number of cases infected by exposure to virus particles in the room, the air-exposed virus particles are exposed to the air>
Figure SMS_37
Is the metabolic intensity coefficient of the indoor environment, +.>
Figure SMS_33
Total exposure time to viral environment for the indoor infected person; />
Figure SMS_35
Is the time since the occurrence of symptoms for the infected person; />
Figure SMS_36
The number of people with masks in the room is equal to the ratio +.>
Figure SMS_38
The filtering efficiency of the mask is achieved,γa decay rate indicative of a pathogen accumulated in the respiratory tract of the susceptible individual; />
Figure SMS_31
Is the lung respiration rate of indoor personnel;
Figure SMS_39
number of pathogen quanta truly inhaled for the susceptible person:
Figure SMS_40
Figure SMS_41
indicating the number of pathogens in the host over a period of time;
s3: calculating indoor ventilation quantity;
if it is
Figure SMS_42
>0, according to infection probability and basic reproduction number of virus +.>
Figure SMS_43
Limiting conditions which need to be controlled within 1, and calculating indoor minimum required fresh air quantity +.>
Figure SMS_44
Figure SMS_45
;/>
Figure SMS_46
If it is
Figure SMS_47
The total indoor number is 0, the number of infected persons is 0, and ventilation is carried out according to the lowest fresh air design standard in the normal period;
if it is
Figure SMS_48
Less than or equal to 0 and%>
Figure SMS_49
Or->
Figure SMS_50
According to 60m 3 Ventilation is carried out or maximum ventilation measures are taken according to the/h/person standard;
s4: indoor design air supply quantity is confirmed based on minimum required fresh air quantity
Figure SMS_51
According to indoor design air supply quantity ∈>
Figure SMS_52
And adjusting the opening degree of the air valve.
In some embodiments of the invention, the method further comprises the steps of:
measuring the actual air supply quantity of the outlet of the air valve
Figure SMS_53
Calculating the actual air supply quantity of the outlet of the air valve
Figure SMS_54
And the indoor design air supply quantity +>
Figure SMS_55
And (3) adjusting the opening degree of the air valve:
Figure SMS_56
wherein:
Figure SMS_57
is to adjust the opening of the rear air valve>
Figure SMS_58
Is at present +.>
Figure SMS_59
Corresponding air valve opening degree, < >>
Figure SMS_60
Is a proportion control coefficient, and the control coefficient is a proportion control coefficient,
Figure SMS_61
is an integral control coefficient.
In some embodiments of the invention, if the air valve outlet is actually supplying air
Figure SMS_62
And the indoor design air supply quantity +>
Figure SMS_63
And stopping adjusting the opening of the air valve when the difference is smaller than the set threshold value.
In some embodiments of the present invention, in step S3, the ratio of the total indoor population to the mask worn by the indoor population is updated according to the detection result of the face detection system.
In some embodiments of the invention, for a household:
Figure SMS_64
1 is shown in the specification;
for malls, stations, airports:
Figure SMS_65
1.5;
for gymnasium:
Figure SMS_66
2.
Compared with the prior art, the invention has the advantages and positive effects that:
1. the original Wells-Riley model is improved, the influence of the attenuation of pathogens exhaled by an infected person along with time, the change of the activity intensity of a human body on the change of the pulmonary ventilation rate and the filtering effect of physical measures like wearing masks on inhaled viruses are comprehensively considered, the evaluation of the obtained improved model on the virus infection probability is more real and accurate, the limitation that the part of the assumption of the original Wells-Riley model is difficult to meet in the actual situation is made up, the calculated fresh air quantity of the requirement is more reliable, the requirement is closer to the actual requirement, and the reduction of ventilation energy consumption can be realized while the indoor infection risk is controlled within a safety threshold.
2. The face detection system is configured for monitoring the flow of personnel, and is connected with the full ventilation system to realize information interaction, so that the ventilation system can obtain the dynamic change condition of fresh air quantity in time, and the opening of the air valve at the tail end of variable air quantity in the indoor environment can be adjusted in time to meet the fresh air requirement.
3. The invention takes the virus infection risk in the indoor environment as an index of ventilation requirement to realize that the virus infection risk of the indoor easily infected person is controlled within the safety threshold as a ventilation target, thereby calculating the ventilation requirement and driving the fresh air system to control. The method can realize the efficient control of air pollution and virus transmission in public buildings by taking the method as an index, so that the ventilation effect on indoor personnel is more effective.
Drawings
FIG. 1 is a schematic view of an indoor ventilation system;
FIG. 2 is a schematic diagram of the indoor ventilation control logic;
in the above figures:
1-a fresh air machine;
2-an indoor fresh air pipeline and 201-an indoor air outlet;
3-an indoor exhaust pipeline and 301-an indoor exhaust port;
4-outdoor inlet pipeline;
5-an outdoor exhaust pipeline;
6-an image acquisition device;
7-monitor screen.
Detailed Description
The present invention will be specifically described below by way of exemplary embodiments. It is to be understood that elements, structures, and features of one embodiment may be beneficially incorporated in other embodiments without further recitation.
The invention provides an intelligent air volume control system and an intelligent air volume control method for inhibiting the spreading risk of new coronaries.
The first embodiment of the invention firstly provides an intelligent air volume control system for inhibiting the spreading risk of new coronary pneumonia (COVID-19), which comprises a fresh air system, a face detection system and a control system.
Referring to fig. 1, a fresh air system is provided in a room, comprising: a fresh air fan 1, an indoor fresh air pipeline 2 and an indoor exhaust pipeline 3; the outdoor inlet pipeline 4 is connected with the indoor fresh air pipeline 2 through a fresh air fan, and the indoor exhaust pipeline 3 is connected with the outdoor exhaust pipeline 5 through a fresh air fan. The indoor fresh air pipeline 2 and the indoor exhaust pipeline 3 are both arranged to be attached to the top of a room, and can be installed at a ceiling generally.
An indoor air outlet 201 is arranged on the indoor fresh air pipeline 2, and an indoor air outlet 201 is provided with: an air valve, an air valve controller and an air flow measuring device; the air valve controller receives a control system instruction to control the opening degree of the air valve. The control of indoor air inlet quantity can be regulated by changing the opening of the air valve.
An indoor air outlet 301 is provided in the indoor air exhaust duct 3 for exhausting indoor air. The fresh air system adopts a traditional upward-feeding and upward-returning mode of mixed ventilation, and the indoor air outlet 201 and the indoor air outlet 301 are respectively arranged at two corresponding sides in a room, so that indoor air can be diluted and mixed fully.
The face detection system comprises an image acquisition device 6 which is arranged at the indoor door and is communicated with the control system, and when a person passes through the indoor door, the image acquisition is carried out, and whether the person wears a mask or not is analyzed according to the image.
The control system counts the number of masks in indoor personnel based on the images acquired by the face detection system; the control system further calculates the minimum required fresh air quantity, the fresh air quantity corresponds to the indoor design air supply quantity, and the air valve controller controls the opening of the air valve based on the minimum required fresh air quantity;
the controller is configured to calculate a minimum required fresh air volume as follows:
Figure SMS_67
wherein:
Figure SMS_69
is the number of people infected indoors and is->
Figure SMS_73
Representing the initial viral quantum yield at the onset of symptoms, < >>
Figure SMS_76
Is the metabolic intensity coefficient of the indoor environment, +.>
Figure SMS_70
Is the lung respiration rate (m) of the indoor person 3 /s),/>
Figure SMS_72
The number of people with masks in the room is equal to the ratio +.>
Figure SMS_75
The filtering efficiency of the mask is achieved; />
Figure SMS_77
Total exposure time of the indoor susceptible to the indoor viral environment; />
Figure SMS_68
Time since symptoms occurred for the person who is indoor; />
Figure SMS_71
A decay rate indicative of a pathogen accumulated in the respiratory tract of the susceptible individual; />
Figure SMS_74
Indicating the total number of people in the room.
The above formula is as
Figure SMS_78
>When 0, the formula is established, and a minimum threshold value of the indoor design fresh air quantity is obtained;
when (when)
Figure SMS_79
And less than or equal to 0, the method for obtaining the ventilation is described in detail later.
In some embodiments of the present invention, an air volume measuring device is further disposed at the indoor air outlet, and is used for detecting the actual air volume of the air valve outlet; the control system further adjusts the opening of the air valve based on the difference value between the indoor actual air supply value measured at the air outlet of the air valve and the indoor design air supply quantity corresponding to the fresh air quantity.
In some embodiments of the present invention, the face detection system further comprises a temperature sensing device for detecting the body temperature of the person entering the room. Whether the body temperature of the personnel is abnormal or not is monitored in real time, so that early warning and virus transmission control are facilitated.
In some embodiments of the present invention, a monitor display 7 is disposed indoors, which is used for recording real-time in-out situations of indoor personnel based on the face detection system, and recording and uploading real-time temperature of human body based on the body temperature monitoring system.
The second embodiment of the present invention further provides an intelligent air volume control method for inhibiting the risk of transmission of new coronary pneumonia (covd-19), which improves the original Wells-Riley model and re-evaluates the risk level of infection in the room.
Before describing the method of the present invention, model improvement and calculation of the air volume based on the improved model are described first.
For the original Wells-Riley model, quanta are defined as the number of infectious airborne particles needed to infect a person. It may consist of one or more airborne virus-carrying particles which are assumed to be randomly distributed in the air of the enclosed space. According to the model, the probability of airborne infection of pathogens of infectious respiratory diseases is defined as:
Figure SMS_80
the formula is the most primitive Wells-Riley model, and is currently the steady flow period of the virus, it is inevitable that the infected and uninfected persons are co-located. Wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_83
is the probability of viral infection for the person in the room susceptible to infection, < >>
Figure SMS_86
Is the number of people easy to be infected in the room, +.>
Figure SMS_89
The number of cases of secondary infection due to exposure to virus particles in the room to air is usually unknown. />
Figure SMS_82
The method is that the initial infection number in the room, namely the personnel generating pathogens (the abnormal body temperature number is captured by a body temperature detection system to achieve the aim of controlling risks in advance, or whether the personnel entering the room are the infection persons is known by a data platform or a nucleic acid detection proof and the like); />
Figure SMS_84
Is the lung respiration rate (m) of the indoor person 3 S) (this value has a correlation with the following parameters,/-)>
Figure SMS_88
(60/h) corresponds to the average level of resting/passive activity (+)>
Figure SMS_90
=0.5 m 3 /h));/>
Figure SMS_81
The rate of viral quantum production (m) 3 S) (the parameter can be obtained by calculation); />
Figure SMS_85
Is the fresh air quantity (m) 3 S) (the control system controls the fresh air quantity through the adjustment control of the fresh air fan and the air valve); />
Figure SMS_87
Is the total exposure time(s) of the uninfected person to the viral environment (viral environment refers to the indoor environment after the infectious person exhales the virus when present indoors).
Assuming that the air in the indoor space is in a stable state and is completely mixed with the fresh air quantity introduced, the method comprises the following steps of:
Figure SMS_91
Figure SMS_92
wherein, the liquid crystal display device comprises a liquid crystal display device,γrepresents the attenuation rate of pathogens accumulated in the respiratory tract of the susceptible person (conservatively estimated to be 0.1/h, corresponding to the longest viral half-life in the existing investigation data),
Figure SMS_93
represents the number of pathogens (this parameter belongs to an intermediate variable) in the host over a period of time,/i>
Figure SMS_94
Representing the initial number of pathogens accumulated in the respiratory tract in the host.
It was found that the viral load on throat swabs of covd-19 infected individuals gradually decreased after symptoms appeared. Thus, quantum yield believed to be proportional to viral load
Figure SMS_95
And also decreases over time. According to the time law of the virus shedding curve described in the previous study, the mathematical fitting expression of the time-varying quantum generation rate of the infected person of the COVID-19 can be obtained as follows:
Figure SMS_96
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_97
represents the initial viral quantum yield at the time of symptom occurrence (based on the results of previous studies,/i>
Figure SMS_98
Can be determined substantially to be 60/h),>
Figure SMS_99
is the time since symptoms occur for the person who is in the room.
The intensity of the activity of the human body in the room affects the metabolism of the body, and the metabolic intensity determines the inspiration and expiration rates. Thus, if the pulmonary ventilation rate is higher, the viral quantum yield of the infected person will be higher. The metabolic intensity coefficients of different indoor environments are recorded as
Figure SMS_100
Lung respiration rate and resting state). The parameters were set as follows: at home, the person is in the home>
Figure SMS_101
1 is shown in the specification; in classrooms, offices, subways, restaurants, etc.)>
Figure SMS_102
1.25; in movie theatres, shops, train stations, airports etc.)>
Figure SMS_103
1.5; in gymnasiums and the like, the user is in the need of being wore about>
Figure SMS_104
2. The value of the metabolic intensity coefficient of the indoor environment is comprehensively selected according to indexes such as the indoor personnel concentration, the air mobility of the indoor environment and the like.
Thus, the quantum yield of the infected person
Figure SMS_105
And pulmonary ventilation rate of indoor susceptible person +.>
Figure SMS_106
The variation of (c) will have a doubling effect on the risk of infection. The total viral quantum produced by the infected person is:
Figure SMS_107
/>
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_108
total quantum yield from symptom occurrence, < +.>
Figure SMS_109
Is the total exposure time of the susceptible to the viral environment.
According to the number of people entering the room and the number of people wearing the mask counted by the detection device, the indoor number of people wearing the mask is calculated to be the ratio
Figure SMS_110
(%) the filtering efficiency of the mask is set as +.>
Figure SMS_111
(%) and the following. The pathogen quantum number truly inhaled by the infected person>
Figure SMS_112
The method comprises the following steps:
Figure SMS_113
therefore, after pathogen attenuation, lung ventilation rate change and filtering effect of the mask are comprehensively considered under a Wells-Riley model, the improved infection probability is obtained
Figure SMS_114
The (updated model) can be expressed as:
Figure SMS_115
based on the updated model, the minimum required air delivery volume can be calculated.
Basic reproduction number
Figure SMS_116
Refers to the number of secondary infections that result when a single infection case is introduced into a population where the other is all susceptible. In general, the greater the value, the more likely an infection will rapidly reproduce in the form of an epidemic. And if->
Figure SMS_117
Below 1, the epidemic will eventually disappear, and thus control measures capable of reducing the number of reproductions to below 1 are considered to be effective.
According to the number of people initially infected indoors
Figure SMS_118
And the total number of detected indoor personnel +.>
Figure SMS_119
And the calculated improved infection probability +.>
Figure SMS_120
Can calculate the basic reproduction number +.>
Figure SMS_121
The method comprises the following steps:
Figure SMS_122
considering that the basic breeding number needs to be controlled below 1, there are:
Figure SMS_123
the calculated demand value of the new air quantity of the design demand is as follows:
Figure SMS_124
thus, if
Figure SMS_125
>0, the minimum value of indoor fresh air volume demand is: />
Figure SMS_126
After the minimum design air quantity is calculated, the opening degree of an air valve at the tail end of variable air quantity of the ventilation system is controlled by means of a full fresh air system installed indoors, and the required fresh air quantity is sent into the indoors, so that the spreading risk of viruses is controlled within an acceptable threshold value.
Based on the updated model, the control method provided by the invention comprises the following steps.
S1: counting total number of indoor personnel
Figure SMS_128
And the proportion of the wearer who wears the mask>
Figure SMS_133
Determining the metabolic intensity coefficient of the human body of the indoor personnel>
Figure SMS_135
Respiratory rate->
Figure SMS_130
The method comprises the steps of carrying out a first treatment on the surface of the Wherein, the total number of people in the room is->
Figure SMS_131
Can be obtained by detection statistics of a face detection device, and the proportion of the wearer who wears the mask is +.>
Figure SMS_137
Can be obtained based on the total number of people and the total number of people detected by the face detection device. The metabolic intensity coefficient of different indoor environments is +.>
Figure SMS_138
(times of pulmonary ventilation rate and resting state) is set as follows: at home, the person is in the home>
Figure SMS_127
1 is shown in the specification; in classrooms, offices, subways and restaurants, < ->
Figure SMS_132
1.25; in movie theatres, shops, train stations/airports and KTV etc.)>
Figure SMS_136
1.5; in gymnasium, the person is in the presence of->
Figure SMS_139
2./>
Figure SMS_129
(60/h) corresponds to the average level of resting/passive activity (+)>
Figure SMS_134
=0.5 m 3 And/h), which may be obtained according to the common general knowledge in the art.
S2: determining the number of people who are infected indoors
Figure SMS_140
Initial Virus production->
Figure SMS_141
And viral attenuation RateγThe method comprises the steps of carrying out a first treatment on the surface of the Calculating infection probability->
Figure SMS_142
Figure SMS_143
Wherein:
Figure SMS_146
is the number of people easy to be infected in the room, +.>
Figure SMS_149
For the number of cases infected by exposure to virus particles in the room, the air-exposed virus particles are exposed to the air>
Figure SMS_150
Representing the initial rate of quantum generation at the onset of symptoms, < >>
Figure SMS_145
Is the metabolic intensity coefficient of the indoor environment, +.>
Figure SMS_148
Is the total exposure time; />
Figure SMS_151
Time since symptoms occurred for the person who is indoor; />
Figure SMS_152
The number of people with masks in the room is equal to the ratio +.>
Figure SMS_144
The filtering efficiency of the mask is achieved;γa decay rate indicative of a pathogen accumulated in the respiratory tract of the susceptible individual; />
Figure SMS_147
Is the lung respiration rate of the indoor person.
Figure SMS_153
Number of pathogen quanta truly inhaled for the susceptible person:
Figure SMS_154
Figure SMS_155
indicating the number of pathogens in the host over a period of time.
S3: calculating indoor required fresh air quantity;
the calculation of the fresh air volume is classified into the following cases according to the relationship between the total indoor population and the number of indoor infected population.
If it is
Figure SMS_156
>0, according to infection probability and basic reproduction number of virus +.>
Figure SMS_157
Limiting conditions which need to be controlled within 1, and calculating indoor minimum required fresh air quantity +.>
Figure SMS_158
:/>
Figure SMS_159
Wherein:
Figure SMS_160
indicating the total number of people in the room.
When (when)
Figure SMS_161
When less than or equal to 0, the following cases are roughly classified:
1. the total indoor number is 0, the number of the infected persons is also 0, namely, the infected persons are transferred to the indoor without the infected persons, the purpose of ventilation is to remove residual viruses in indoor air, and ventilation is carried out according to the lowest fresh air design standard in a normal period;
2、
Figure SMS_162
i.e. the indoor personnel are infected or the indoor environment is a special area such as ward, etc., the system is openedThe purpose of the wind is to ventilate and dilute the virus produced by the infected person, and provide fresh air for indoor personnel according to the volume of 60m 3 The ventilation is carried out or the maximum ventilation measure is adopted according to the h/person standard, and meanwhile, the necessary virus disinfection measure is carried out to avoid virus diffusion;
3、
Figure SMS_163
and->
Figure SMS_164
At the moment, the number of the indoor infected persons is more than that of the easily infected persons, the infected persons are easily infected, at the moment, the indoor uninfected persons should be transferred preferentially, and at the same time, the number of the indoor uninfected persons is 60m 3 The ventilation is carried out by the maximum design of fresh air volume of a standard or fresh air system of/h/person; (the maximum design value is related to the selection of the fresh air system and the model of the fresh air fan).
S4: fresh air volume confirmation indoor design air supply volume based on the confirmation of the previous situation
Figure SMS_165
According to indoor design air supply quantity ∈>
Figure SMS_166
And adjusting the opening degree of the air valve.
In some embodiments of the invention, the method further comprises the steps of:
measuring actual air supply quantity of air valve outlet at each moment
Figure SMS_167
The method comprises the steps of carrying out a first treatment on the surface of the Calculating the actual air supply quantity of the outlet of the air valve>
Figure SMS_168
And the indoor design air supply quantity +>
Figure SMS_169
And (3) adjusting the opening degree of the air valve:
Figure SMS_170
wherein:
Figure SMS_171
is to adjust the opening of the rear air valve>
Figure SMS_172
Is at present +.>
Figure SMS_173
Corresponding air valve opening degree, < >>
Figure SMS_174
Is a proportion control coefficient, and the control coefficient is a proportion control coefficient,
Figure SMS_175
is an integral control coefficient.
In the unsteady state, the actual air supply amount of the air valve outlet at each time
Figure SMS_176
Is a time-varying value, and the indoor design air supply quantity at each moment is +.>
Figure SMS_177
May vary with variations in parameters, such as: the total number of people in the room changes, the number of infected people changes, etc. Thus, the adjustment is a dynamic process.
In some embodiments of the invention, if the air valve outlet is actually supplying air
Figure SMS_178
And the indoor design air supply quantity +>
Figure SMS_179
And stopping adjusting the opening of the air valve when the difference is smaller than the set threshold value. In general, if up to->
Figure SMS_180
And->
Figure SMS_181
The difference between the two meets the control requirement, and the control target can be considered to be achieved within 10% generally, namely the ventilation requirement is met. To obtain a roomTarget air valve opening degree of air supply quantity meeting requirement of internal actual air supply quantity>
Figure SMS_182
It should be noted that the investigation found that intimate contact with the infected person would lead to a higher risk of contact with the covd-19 virus by short-range droplet propagation. This spray propagation can be overcome by maintaining a sufficient physical distance. When kept at a distance of more than 1.5 meters from the infected person, the virus concentration will drop to a constant level. Because the short-distance spray transmission of viruses is not considered in the invention, in practical application, the ventilation control strategy proposed above should be applied together with epidemic prevention measures such as maintaining physical distance.
The method provided by the invention can obtain a more real and reliable minimum fresh air quantity value capable of controlling the infection risk below the safety threshold, and transmits the calculated value to the fresh air system, adjusts the opening degree of a stroke valve of a tail end device of the system installed in an indoor environment, sends the required fresh air quantity into the indoor, and reduces the virus diffusion risk.
The present invention is not limited to the above-mentioned embodiments, and any equivalent embodiments which can be changed or modified by the technical content disclosed above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above-mentioned embodiments according to the technical substance of the present invention without departing from the technical content of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims (8)

1. An intelligent air volume control system for inhibiting the spreading risk of new crown pneumonia is characterized by comprising a fresh air system, a face detection system and a control system;
the fresh air system comprises: the system comprises a fresh air machine, an indoor fresh air pipeline and an indoor exhaust pipeline; the outdoor fresh air pipeline is connected with the indoor fresh air pipeline through a fresh air fan, and the indoor exhaust pipeline is connected with the outdoor exhaust pipeline through a fresh air fan; the indoor fresh air pipeline comprises an indoor air outlet, and the indoor air outlet is provided with: an air valve, an air valve controller and an air flow measuring device; the air valve controller receives a control system instruction to control the opening degree of the air valve;
the face detection system comprises an image acquisition device, a control system and a mask, wherein the image acquisition device is arranged at an indoor door and is communicated with the control system and used for detecting the number of indoor personnel and whether the indoor personnel wear the mask or not;
the control system counts the number of masks in indoor personnel based on the images acquired by the face detection system; the control system further calculates the minimum required fresh air quantity, and the fresh air quantity corresponds to the indoor design air supply quantity;
the control system is configured to calculate an indoor demand fresh air volume:
if N-2I>0, calculating the minimum required fresh air quantity Q according to the following method min
Figure FDA0004153408310000011
Wherein: i is the number of people infected in the room, q 0 Representing initial virus quantum generation rate when symptoms occur, wherein m is metabolic intensity coefficient of indoor environment, p is lung respiration rate of indoor personnel, alpha is indoor number of people with masks, beta is mask filtration efficiency, and T is total exposure time of the easily infected people in virus environment; t is the time since symptoms occurred in the infected person; gamma represents the rate of attenuation of pathogens accumulated in the respiratory tract of a susceptible person; n represents the total indoor number of people, and the air valve controller controls the opening of the air valve based on the minimum required fresh air quantity;
if N-2I is less than or equal to 0 and the total indoor number is 0, the number of infected persons is also 0, and ventilation is carried out according to the lowest fresh air design standard in the normal period;
if N-2I is less than or equal to 0, and N=I, or I<N is less than or equal to 2I according to 60m 3 Ventilation is carried out or maximum ventilation measures are taken according to the/h/person standard;
indoor design air supply quantity q is confirmed based on indoor demand fresh air quantity * According to indoor design air quantity q * Adjusting the opening of the air valve to obtain the requiredIs fed into the room so that the risk of viral transmission is controlled within acceptable thresholds.
2. The intelligent air volume control system for inhibiting propagation risk of new crown pneumonia according to claim 1, wherein an air volume measuring device is further arranged at the indoor air outlet and is used for detecting actual air volume at the air outlet of the air valve; the control system further adjusts the opening of the air valve based on the difference value between the indoor actual air supply quantity measured at the air outlet of the air valve and the fresh air supply quantity corresponding to the indoor design.
3. The intelligent air volume control system for inhibiting the risk of transmission of new coronaries pneumonia according to claim 1, wherein the face detection system further comprises a temperature sensing device for detecting the body temperature of a person entering the room.
4. An intelligent air volume control method for inhibiting the spreading risk of new coronaries pneumonia is characterized by comprising the following steps:
s1: counting the total number N of indoor personnel and the occupancy rate alpha of the personnel wearing the mask, and determining the metabolic intensity coefficient m and the lung respiration rate p of the human body of the indoor personnel;
s2: determining initial virus quantum generation rate q of indoor infection number I and symptom occurrence 0 Attenuation rate gamma of pathogens accumulated in the respiratory tract of the susceptible person; calculating infection probability P m
Figure FDA0004153408310000021
Wherein: s is the number of people who are easy to infect in the room, C is the number of cases of infection caused by exposure to virus particles in the air in the room, m is the metabolic intensity coefficient of the indoor environment, and T is the total exposure time of the people who are easy to infect in the room in the virus environment; t is the time since symptoms occurred in the initial infected person; alpha is the indoor number of people with the mask, beta is the mask filtering efficiency, and gamma represents the attenuation rate of pathogens accumulated in the respiratory tract of the person easy to be infected; p is the pulmonary respiration rate of the person in the room;
n is the number of pathogen quanta truly inhaled by the infected person:
n=m t ·(1-αβ);
m t indicating the number of pathogens in the host over a period of time;
s3: calculating indoor required fresh air quantity;
if N-2I>0, according to infection probability and basic reproduction number R of virus 0 Limiting conditions which need to be controlled within 1, and calculating indoor minimum required fresh air quantity Q min
Figure FDA0004153408310000031
Figure FDA0004153408310000032
Controlling the opening of the air valve based on the minimum required fresh air quantity;
if N-2I is less than or equal to 0 and the total indoor number is 0, the number of infected persons is also 0, and ventilation is carried out according to the lowest fresh air design standard in the normal period;
if N-2I is less than or equal to 0, and N=I, or I<N is less than or equal to 2I according to 60m 3 Ventilation is carried out or maximum ventilation measures are taken according to the/h/person standard;
s4: indoor design air supply quantity q is confirmed based on indoor demand fresh air quantity * According to indoor design air quantity q * Adjusting the opening of the air valve; the required fresh air volume is fed into the room so that the risk of viral transmission is controlled within acceptable thresholds.
5. The intelligent air volume control method for inhibiting the propagation risk of new coronaries pneumonia according to claim 4, further comprising the steps of:
measuring the actual air quantity q of the outlet of the air valve t
Calculating the actual air quantity q of the outlet of the air valve t And indoor designAir supply quantity
Figure FDA0004153408310000033
And (3) adjusting the opening degree of the air valve:
Figure FDA0004153408310000034
wherein: θ t′ Is to adjust the opening degree of the rear air valve theta t Is the current q t Corresponding air valve opening degree K P Is a proportional control coefficient, K I Is an integral control coefficient.
6. The intelligent air volume control method for inhibiting the propagation risk of new coronaries pneumonia according to claim 5, wherein the method comprises the following steps: if the actual air quantity q is supplied from the outlet of the air valve t And the indoor design air supply quantity
Figure FDA0004153408310000041
And stopping adjusting the opening of the air valve when the difference is smaller than the set threshold value.
7. The intelligent air volume control method for inhibiting the propagation risk of new coronaries pneumonia according to claim 4, wherein the method comprises the following steps: in step S3, the total indoor population is updated according to the detection result of the face detection system.
8. The intelligent air volume control method for inhibiting the propagation risk of new coronaries pneumonia according to claim 4, wherein the method comprises the following steps:
for the family: the metabolic intensity coefficient m of the indoor environment is 1;
for malls, stations, airports: the metabolic intensity coefficient m of the indoor environment is 1.5;
for gymnasiums: the metabolic intensity coefficient m of the indoor environment is 2.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114188035A (en) * 2021-12-15 2022-03-15 中国海洋大学 Infectious disease prediction method and system based on improved SEIR model

Family Cites Families (9)

* Cited by examiner, † Cited by third party
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US11960261B2 (en) * 2019-07-12 2024-04-16 Johnson Controls Tyco IP Holdings LLP HVAC system with sustainability and emissions controls
WO2021011497A1 (en) * 2019-07-12 2021-01-21 Johnson Controls Technology Company Hvac system with design and operational tool for building infection control
CN111554409A (en) * 2020-05-27 2020-08-18 清华大学 Monitoring, tracing and early warning regulation and control system and method for virus propagation in building
DE102021128678A1 (en) * 2020-11-04 2022-05-05 Ifm Electronic Gmbh Method and device for reducing the risk of infection in closed rooms by viruses
US11674707B2 (en) * 2020-12-07 2023-06-13 Syracuse University System for minimizing indoor infection risk and maximizing energy savings
CN112963949B (en) * 2021-02-23 2022-02-01 东南大学 Epidemic prevention energy-saving intelligent ventilation control system and method based on real-time personnel detection
CN113312859A (en) * 2021-06-18 2021-08-27 南京航空航天大学 Method for analyzing virus propagation in cabin of civil aviation passenger plane
CN113611407B (en) * 2021-08-16 2023-03-21 西南交通大学 Novel coronavirus infection condition assessment method for interior of bus
CN114781892A (en) * 2022-04-28 2022-07-22 北京清华同衡规划设计研究院有限公司 Environmental quality evaluation method, system and device and electronic equipment

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114188035A (en) * 2021-12-15 2022-03-15 中国海洋大学 Infectious disease prediction method and system based on improved SEIR model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
新型个性化通风系统预防传染病传播数值研究;郑晓红;钱华;刘荔;;中南大学学报(自然科学版)(第12期);全文 *

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