CN116164364A - Classroom environment health data monitoring and processing system based on artificial intelligence - Google Patents
Classroom environment health data monitoring and processing system based on artificial intelligence Download PDFInfo
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- CN116164364A CN116164364A CN202310433396.8A CN202310433396A CN116164364A CN 116164364 A CN116164364 A CN 116164364A CN 202310433396 A CN202310433396 A CN 202310433396A CN 116164364 A CN116164364 A CN 116164364A
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- 239000004155 Chlorine dioxide Substances 0.000 claims abstract description 51
- 235000019398 chlorine dioxide Nutrition 0.000 claims abstract description 51
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
- F24F7/003—Ventilation in combination with air cleaning
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
- F24F7/04—Ventilation with ducting systems, e.g. by double walls; with natural circulation
- F24F7/06—Ventilation with ducting systems, e.g. by double walls; with natural circulation with forced air circulation, e.g. by fan positioning of a ventilator in or against a conduit
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F8/00—Treatment, e.g. purification, of air supplied to human living or working spaces otherwise than by heating, cooling, humidifying or drying
- F24F8/20—Treatment, e.g. purification, of air supplied to human living or working spaces otherwise than by heating, cooling, humidifying or drying by sterilisation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Signal Processing (AREA)
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Abstract
The invention relates to the technical field of air quality detection and analysis of schools under big data, in particular to a classroom environment health data monitoring and processing system based on artificial intelligence, which comprises a classroom fresh air control module capable of controlling the operation of a fresh air system in a classroom; the chlorine dioxide disinfection module can release chlorine dioxide gas purification factors into classrooms through a fresh air system; the personnel number monitoring module can monitor the personnel number and personnel distribution condition in the teaching room based on whether the students are on the seats; and the classroom control module can control the running states of the classroom fresh air control module and the chlorine dioxide disinfection module based on the information monitored by the personnel number monitoring module. The system can more accurately judge total personnel number in the teaching room when in class, the device adopts the chlorine dioxide gas factor for disinfection, harmful viruses in the teaching room can be actively killed under the condition of coexistence of human and machine, early warning information can be generated based on system perception, and the early warning information is uploaded to the disease control system.
Description
Technical Field
The invention relates to the technical field of air quality detection and analysis of schools under big data, in particular to a classroom environment health data monitoring and processing system based on artificial intelligence.
Background
Schools are special crowded places, students have the characteristics of large base number, multiple groups and the like, and are people with infectious diseases easy to infect. The school health regulations, the guidelines for infectious disease prevention and control in general universities, and the like, also impose regulations on schools in the aspects of infectious disease monitoring, disinfection, health education, and the like. The large amount of work in the regulation needs manual monitoring, statistics and disposal, and the efficiency is low in practical application. Especially, the virus infection represented by influenza has a large transmission surface and a high transmission speed. And fever is usually the primary symptom in the early stage. Also included are common tuberculosis, mumps, epidemic cerebrospinal meningitis, varicella, shingles, etc., which are typified by influenza alone.
Influenza mainly has three transmission modes of spray transmission, aerosol transmission and indirect contact transmission. Wherein the spreading of droplets is by coughing or sneezing, spraying droplets containing influenza virus, contacting conjunctiva or mucosa of susceptible person, and causing infection of susceptible person. The spray is generally in the form of a water droplet, and the spreading range is generally about 1 meter, and the spray does not have the capability of suspending in air and can be quickly settled. Aerosol transmission is the way in which aerosols containing pathogens are inhaled to infect diseases. Aerosol particles are tiny particles less than 5 μm in diameter that remain suspended in air for several minutes or more. Because of the longer suspension time, aerosol particles can fly in a larger space through the airflow, and the propagation range is larger than that of spray propagation. The transmission way of the influenza virus is easy to realize and has strong infectivity.
School personnel are dense, and spread is easier. And the classroom environment is relatively closed, the ventilation is enhanced, the probability of virus transmission is reduced, and the carbon dioxide content is reduced, but the ventilation state is difficult to keep all the time due to weather, climate and other reasons.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, whether influenza occurs or not is judged by actively checking samples in a specific month, the detection flow is complex, the detection means are passive, and the effect of active prevention and control cannot be achieved.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
an artificial intelligence based classroom environmental health data monitoring and processing system, comprising:
the classroom fresh air control module can control the operation of a fresh air system in a classroom;
the chlorine dioxide disinfection module can release chlorine dioxide gas purification factors into classrooms through a fresh air system;
the personnel number monitoring module can monitor the personnel number and personnel distribution condition in the teaching room based on whether the students are on the seats;
and the classroom control module can control the running states of the classroom fresh air control module and the chlorine dioxide disinfection module based on the information monitored by the personnel number monitoring module.
The chlorine dioxide disinfection module comprises a release device capable of releasing chlorine dioxide factors into a classroom through a fresh air system, the release device is connected with a classroom control module, and the classroom control module can control the release speed of the release device for releasing the chlorine dioxide factors according to the number of people in the classroom.
The new trend system includes new trend fan, the new trend pipeline of intercommunication new trend fan air outlet, new trend pipeline intercommunication has a plurality of new wind gap, a plurality of the new trend mouth adopts matrix distribution at the indoor roof of classroom, every the electric switch valve that is connected with classroom control module electricity is all installed to the new wind gap, the opening size of every new wind gap can be controlled to the electric switch valve, release intercommunication is installed between new trend fan air outlet and new trend pipeline air intake.
The monitoring processing system further comprises an infrared body temperature monitoring module, the infrared body temperature monitoring module can monitor temperatures of all areas in the classroom and transmit temperature data and corresponding areas to the classroom control module, and the classroom control module can realize disinfection work of the chlorine dioxide disinfection module on local areas and whole areas in the classroom according to data information monitored by the infrared body temperature monitoring module.
The monitoring processing system comprises a school service platform and a cloud server, each classroom control module in a single school is connected with the school service platform, the school service platform can receive, process, control and upload information of the classroom control modules to the cloud server, the cloud server can monitor and control the school service platform of each school, and the cloud server is controlled by a municipal disease control center to use.
The infrared body temperature monitoring module is defined to monitor that a region with the body temperature exceeding 37.5-42 ℃ in a local region in a classroom is defined as a heating region and other regions are normal temperature regions, and the classroom control module controls the chlorine dioxide factor release amount of the heating region to be larger than that of the normal temperature region.
The method comprises the steps that data information of each classroom is monitored through a school service platform, when at least one heating area exists in more than 20% of classrooms in one school and at least more than two students are absent in more than 20% of classrooms in one school in one day, the school service platform defines the information as possible to be in influenza, uploads the information to a cloud server and performs full-school disinfection work for 2-3 days, and the full-school disinfection work comprises starting a classroom fresh air control module and a chlorine dioxide disinfection module to work for 30 minutes at maximum power half an hour before a first class in the morning and after school release; the classroom fresh air control module and the chlorine dioxide disinfection module are started in a low power mode all the day;
when the cloud server receives information that more than 20% of schools possibly have influenza, the disease control center starts a response scheme of influenza preliminary outbreak early warning.
The monitoring processing system further comprises a cloud sharing module of the fresh air disinfection system of the campus peripheral community, the cloud sharing module of the fresh air disinfection system of the community can upload real-time operation information of the fresh air disinfection system in each community, each building and each resident home to the cloud server, if the fresh air disinfection system is started in a certain school direction by taking a region as a center in different communities, the cloud server judges that a pollution source is approaching to the school, the cloud server sends an instruction to a classroom control module of the school, and the classroom control module starts the classroom fresh air control module and the chlorine dioxide disinfection module in advance.
The classroom environment health data monitoring and processing system based on the artificial intelligence provided by the invention has the beneficial effects that: the personnel number monitoring module of the system is based on the fact that whether people are on a student seat or not, the total number of personnel in the classroom during class can be accurately judged, the system can control different running powers of the classroom fresh air control module and the chlorine dioxide disinfection module by detecting the number of the personnel in the classroom, a better disinfection effect can be achieved, the device adopts chlorine dioxide gas factors for disinfection, and transmission paths of virus aerosol and the like in the classroom can be actively cut off.
Drawings
FIG. 1 is a schematic diagram of a module structure of the present invention;
FIG. 2 is a schematic diagram of a roof structure of a fresh air port in a classroom according to the present invention;
FIG. 3 is a schematic view of the diffusion structure of the pollution source to the school according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Referring to fig. 1, an artificial intelligence based classroom environmental health data monitoring processing system includes: the classroom fresh air control module can control the operation of a fresh air system in a classroom; the chlorine dioxide disinfection module can release chlorine dioxide gas purification factors into classrooms through a fresh air system; the personnel number monitoring module can monitor the personnel number and personnel distribution condition in the teaching room based on whether the students are on the seats; and the classroom control module can control the running states of the classroom fresh air control module and the chlorine dioxide disinfection module based on the information monitored by the personnel number monitoring module.
The personnel number monitoring module of the system is used for monitoring based on whether people are on a student seat or not instead of a traditional head monitoring sensor, so that the total number of personnel in a classroom can be accurately judged, the system can control different running powers of a classroom fresh air control module and a chlorine dioxide disinfection module by detecting the number of the personnel in the classroom, a better disinfection effect can be achieved, and the device adopts a chlorine dioxide gas factor for disinfection and can actively disinfect harmful viruses in the classroom under the condition of coexistence of human and machine;
the power of the fresh air control module and the power of the chlorine dioxide disinfection module are specifically set according to the size of classrooms, the total number of people, the class of primary school students, the class of junior middle school students and the class of senior high school students.
As a specific implementation mode of the personnel number monitoring module, a pressure sensor is arranged at a stress part of the seat, the pressure sensor transmits a received pressure signal to a classroom control module, when the pressure exceeds a defined range, the person on the seat is judged, for example, the pressure threshold is 15kg, and when the pressure exceeds the threshold, the student on the seat is defined as absent.
As a specific implementation mode, the class time system of the school service platform is connected with the classroom control module, so that the classroom control module can conveniently perform different starting operation states according to the class time, for example, the working time can be 10 minutes between classes, the influence of machine operation on class can be reduced, and the school service platform is used 1 hour before learning in the morning and 1 hour after learning in the noon every day. The principle is that high concentration is sterilized for 10-20min in a short time, and people are not in the room at the moment, so that thorough sterilization of air and the surfaces of objects can be achieved, low-power operation is performed in the course of teaching, and noise influence is reduced.
The chlorine dioxide disinfection module comprises a release device capable of releasing chlorine dioxide factors into a classroom through a fresh air system, the release device is connected with a classroom control module, and the classroom control module can control the release speed of the release device for releasing the chlorine dioxide factors according to the number of personnel in the classroom. The air flow blown out by the fresh air system drives chlorine dioxide gas to be released into the indoor air environment, chlorine dioxide is actively released to the indoor space, pollutants in the air are actively captured in the indoor air to kill the pollutants, and the pollutants in the air are actively captured in the classroom air to kill the pollutants due to the active disinfection carried out by releasing the chlorine dioxide gas purifying factors.
Referring to fig. 2, the new trend system includes new trend fan 1, the new trend pipeline 3 of intercommunication new trend fan air outlet, new trend pipeline intercommunication has a plurality of new trend mouth 4, a plurality of new trend mouth adopts the roof of matrix distribution in the classroom, an electric switch valve that is connected with classroom control module electricity is all installed to every new wind gap, the opening size of every new wind gap can be controlled to the electric switch valve, release 2 intercommunication is installed between new trend fan air outlet and new trend pipeline air intake, the air current that blows out through new trend fan 1 drives the chlorine dioxide gas release of release 2 and releases in the classroom, through adjusting the opening size of every wind gap, realize the effect of killing in the different regions in the classroom.
The monitoring processing system further comprises an infrared body temperature monitoring module, the infrared body temperature monitoring module can monitor the temperature of each area in the classroom and transmit temperature data and corresponding areas to the classroom control module, and the classroom control module can realize the disinfection work of the chlorine dioxide disinfection module on the local area and the whole area in the classroom according to the data information monitored by the infrared body temperature monitoring module.
Whether the temperature of each region in the teaching room is abnormal or not is judged by detecting the temperature of each region, the opening degree of the fresh air port in the high-temperature region is larger than that of the fresh air port in the normal-temperature region, and the high-temperature region is subjected to covering type disinfection, so that viruses can be blocked more accurately and timely.
Referring to fig. 1, the monitoring processing system includes a school service platform and a cloud server, each classroom control module in a single school is connected with the school service platform, the school service platform can receive, process, control and upload information of the classroom control module to the cloud server, the cloud server can monitor and control the school service platform of each school, the cloud server is controlled by a city grade disease control center to be used, the school service platform can monitor data information of each classroom in the school and control the corresponding classroom control module, the cloud server can monitor data information of all schools in a city area and send control information to the school service platform, and the city grade disease control center monitors environmental data of each school through the cloud server.
The infrared body temperature monitoring module is defined to detect that a region with the body temperature exceeding 37.5-42 ℃ in a local region in a classroom is defined as a heating region, other regions are defined as normal temperature regions, and the classroom control module controls the chlorine dioxide factor release amount of the heating region to be larger than that of the normal temperature region. The virus source exists in the heating area, the release amount of chlorine dioxide factors is increased, and the virus diffusion area is better isolated.
Referring to fig. 1, monitoring data information of each classroom through a school service platform, defining the information as possible to be influenza by the school service platform when at least one heating area exists in more than 40% of classrooms in one school in one day, uploading the information to a cloud server, and performing full-school disinfection work for 2-3 days, wherein the full-school disinfection work comprises starting a classroom fresh air control module and a chlorine dioxide disinfection module with maximum power for 30 minutes before half an hour before a first class in the morning and after school release; and the classroom fresh air control module and the chlorine dioxide disinfection module are started in a low power mode all the day. The heat-generating areas exist in a plurality of classrooms of a school, so that the possibility of occurrence of influenza virus is judged, a more accurate early warning effect can be achieved, and the possibility of timely blocking virus transmission can be timely found.
When the cloud server receives information that more than 30% of schools possibly have influenza, the disease control center starts a response scheme of the influenza preliminary outburst early warning, when a plurality of schools all send the early warning that possibly have influenza, the response scheme of the influenza preliminary outburst early warning is started, the system can generate the effects of active early warning and active prevention, and compared with the traditional mode of issuing the influenza early warning according to the possible season of influenza, the system can more accurately play roles of early warning and prevention.
As a specific implementation mode, monitoring data information of each classroom through a school service platform, and when more than 20% of classrooms in one school have at least one heating area and more than 20% of classrooms have at least two student-absent conditions in one day, defining the information as possible influenza by the school service platform, uploading the information to a cloud server, and performing full-school disinfection work for 2-3 days, wherein the full-school disinfection work comprises starting a classroom fresh air control module and a chlorine dioxide disinfection module at maximum power for 30 minutes before half an hour before a first lesson in the morning and after school release; the classroom fresh air control module and the chlorine dioxide disinfection module are started in a low power mode all the day;
when the cloud server receives information that more than 20% of schools possibly have influenza, the disease control center starts a response scheme of influenza preliminary outbreak early warning. Some students may be directly lack lessons because of heating, which may cause the situation of early warning delay, and the system comprehensively judges whether the situation of possible influenza exists or not based on the heating area and the absence situation, so that the judgment is more accurate.
Referring to fig. 3, as a specific implementation manner, the monitoring processing system further includes a cloud sharing module of the fresh air disinfection system of the campus peripheral community, the cloud sharing module of the community fresh air disinfection system can upload real-time operation information of the fresh air disinfection system in each community, each building and each resident home to a cloud server, if the cloud server judges that a pollution source is approaching to the school, the cloud server sends an instruction to a classroom control module of the school, so that the classroom control module starts the classroom fresh air control module and the chlorine dioxide disinfection module in advance.
Referring to fig. 3, when a gas pollution source appears in a region, different cells sequentially start a fresh air system in a home along with the diffusion of the gas pollution source, a cloud sharing module of the cell fresh air disinfection system uploads the fresh air system to a cloud server, the cloud server judges that the pollution source possibly appears in a surrounding region, and judges the diffusion speed according to the time difference of the sequential starting, so that a cloud service module can send an advanced control instruction to a school service platform of a school which is not diffused by the polluted gas, the school enters a fresh air and disinfection mode in advance, the effects of prevention and control are achieved, and under the mode, the conditions of factory pollution diffusion and regional environment pollution diffusion can be well prevented.
The above description is only of the preferred embodiments of the present invention, but the scope of the present invention is not limited thereto, and any technical solution, conception and design, which are equivalent or changed according to the technical solution and the inventive concept of the present invention, should be covered by the scope of the present invention.
Claims (10)
1. An artificial intelligence-based classroom environment health data monitoring and processing system, comprising:
the classroom fresh air control module can control the operation of a fresh air system in a classroom;
the chlorine dioxide disinfection module can release chlorine dioxide gas purification factors into classrooms through a fresh air system;
the personnel number monitoring module can monitor the personnel number and personnel distribution condition in the teaching room based on whether the students are on the seats;
and the classroom control module can control the running states of the classroom fresh air control module and the chlorine dioxide disinfection module based on the information monitored by the personnel number monitoring module.
2. The classroom environmental health data monitoring and processing system based on artificial intelligence as claimed in claim 1, wherein the chlorine dioxide disinfection module comprises a release device capable of releasing chlorine dioxide factors into a classroom through a fresh air system, the release device is connected with a classroom control module, and the classroom control module can control the release speed of the release device for releasing the chlorine dioxide factors according to the number of personnel in the classroom.
3. The classroom environmental health data monitoring and processing system based on artificial intelligence of claim 2, wherein the fresh air system comprises a fresh air fan and a fresh air pipeline communicated with an air outlet of the fresh air fan, the fresh air pipeline is communicated with a plurality of fresh air inlets, the fresh air inlets are distributed on a roof in a classroom in a matrix mode, each fresh air inlet is provided with an electric switch valve electrically connected with a classroom control module, the electric switch valve can control the opening size of each fresh air inlet, and the release device is installed between the air outlet of the fresh air fan and the air inlet of the fresh air pipeline in a communication mode.
4. The classroom environmental health data monitoring and processing system based on artificial intelligence according to claim 3, wherein the monitoring and processing system further comprises an infrared body temperature monitoring module, the infrared body temperature monitoring module can monitor temperatures of various areas in the classroom and transmit temperature data and corresponding areas to a classroom control module, and the classroom control module can realize disinfection work of the chlorine dioxide disinfection module on local areas and whole areas in the classroom according to data information monitored by the infrared body temperature monitoring module.
5. The system of claim 4, wherein the system comprises a school service platform and a cloud server, each classroom control module in a single school is connected with the school service platform, the school service platform can receive, process, control and upload information of the classroom control modules to the cloud server, the cloud server can monitor and control the school service platform of each school, and the cloud server is controlled by a market-level disease control center.
6. The classroom environmental health data monitoring and processing system based on artificial intelligence as claimed in claim 5, wherein the area where the infrared body temperature monitoring module monitors that the body temperature of the local area in the classroom exceeds 37.5-42 ℃ is defined as a heating area, other areas are normal temperature areas, and the classroom control module controls the chlorine dioxide factor release amount of the heating area to be larger than that of the normal temperature area.
7. The classroom environmental health data monitoring and processing system based on artificial intelligence according to claim 6, wherein the data information of each classroom is monitored by a school service platform, and when more than 40% of classrooms in one school all have at least one heating area in one day, the school service platform defines the information as possible to have influenza and uploads the information to a cloud server, and performs full-school disinfection work for 2-3 days, wherein the full-school disinfection work comprises starting a classroom fresh air control module and a chlorine dioxide disinfection module at maximum power for 30 minutes before half an hour before the first lesson and after the first lesson every morning; and the classroom fresh air control module and the chlorine dioxide disinfection module are started in a low power mode all the day.
8. The classroom environmental health data monitoring and processing system based on artificial intelligence of claim 7, wherein when the cloud server receives more than 30% of the information that influenza possibly exists in schools, the disease control center starts a response scheme of influenza preliminary outbreak early warning.
9. The system for monitoring and processing the environmental health data of the classrooms based on the artificial intelligence according to claim 6, wherein the system monitors the data information of each classroom through a school service platform, and when more than 20% of classrooms in one school have at least one heating area and more than 20% of classrooms have at least two student status absent in the class in one day, the school service platform defines the information as possible influenza, uploads the information to a cloud server and performs full-school disinfection work for 2-3 days, wherein the full-school disinfection work comprises starting a classroom fresh air control module and a chlorine dioxide disinfection module for 30 minutes at maximum power before half an hour before the first class in the morning and after school; the classroom fresh air control module and the chlorine dioxide disinfection module are started in a low power mode all the day;
when the cloud server receives information that more than 20% of schools possibly have influenza, the disease control center starts a response scheme of influenza preliminary outbreak early warning.
10. The classroom environmental health data monitoring and processing system based on artificial intelligence according to any one of claims 5-9, wherein the monitoring and processing system further comprises a community fresh air disinfection system cloud sharing module around a campus, the community fresh air disinfection system cloud sharing module can upload real-time operation information of the fresh air disinfection system in each community, each building and each resident home to the cloud server, if different buildings in different communities start the fresh air disinfection system in a certain school direction with a zone as a center, the cloud server judges that a pollution source is approaching the school, the cloud server sends an instruction to a classroom control module of the school, so that the classroom control module starts the classroom fresh air control module and the chlorine dioxide disinfection module in advance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310433396.8A CN116164364A (en) | 2023-04-21 | 2023-04-21 | Classroom environment health data monitoring and processing system based on artificial intelligence |
Applications Claiming Priority (1)
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