Positive pressure control method for indoor air purification network control system

Abstract

To provide a positive pressure control method for an indoor air cleaning network control system.SOLUTION: Providing a plurality of gas detectors, providing an indoor air pollution treatment device, providing a network-connected cloud computing service device, receiving and comparing pressure detection information of carbon dioxide and issuing a control instruction, comparing pressures of carbon dioxide in an indoor space and an outdoor space and determining whether a pressure difference is zero, receiving the control instruction by the gas detector in the indoor air pollution treatment device and turning on a guide fan to continuously purify air pollution in the indoor space and adjust temperature and humidity, and when the pressure difference of carbon dioxide between the indoor space and the outdoor space is zero, controlling the guide fan of the indoor air pollution treatment device to adjust a rotational speed to reduce an air volume, so as to realize real-time detection and purification of air pollution and achieve a clean room level of cleanliness.SELECTED DRAWING: Figure 1H

Description

[Technical Field]

[0001] The present invention relates to a positive pressure control method for an indoor air purification network control system, and more particularly to a positive pressure control method for an indoor air purification network control system used for air pollution detection, thorough purification, and clean room treatment in indoor spaces. [Background technology]

[0002] Suspended particulate matter (Suspended Particulate Matter) refers to solid particles or liquid droplets contained in air. Their extremely small size allows them to easily pass through the nasal hairs in the nasal passages and enter the human lungs, causing pulmonary inflammation, asthma, and cardiovascular disease. When other pollutants adhere to Suspended Particulate Matter, the harm to the respiratory system becomes even more serious. In recent years, air pollution has become a serious problem, with particularly high concentrations of fine particulate matter (e.g., PM2.5). Therefore, monitoring the concentration of Suspended Particulate Matter in the air has become an important issue. However, because air flows unstably depending on wind direction and speed, and most air quality monitoring stations currently used to detect Suspended Particulate Matter are fixed-point installations, it is impossible to determine the concentration of Suspended Particulate Matter in the vicinity of a specific location.

[0003] In addition, modern people are becoming increasingly concerned about the air quality in their living environments. For example, exposure to gases such as carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), PM2.5, nitrogen monoxide, sulfur monoxide, and the fine particles contained in these gases can all affect human health and, in severe cases, even be life-threatening. Therefore, environmental air quality is a major concern in every country, and how to detect air quality and avoid or escape areas with poor air quality is currently a major issue.

[0004] Gas sensors can be used to detect ambient gases as a way to check the quality of the air. If the detection information can be provided in real time to warn people in the environment, allowing them to take immediate precautions or evacuate, and avoid the impact and damage to human health caused by environmental gases, then using gas sensors to detect ambient gases can be a very useful application.

[0005] Furthermore, indoor air quality is difficult to grasp. In addition to outdoor air quality, indoor air conditioning and pollution sources are also major factors that affect indoor air quality. Intelligently and quickly detecting indoor air pollution sources in various indoor locations can effectively eliminate indoor air pollution and create clean, breathable air conditions, allowing real-time monitoring of indoor air quality anytime, anywhere. Of course, for indoor spaces, strictly controlling the concentration of suspended particulate matter in the air according to "clean room" standards, minimizing the introduction, generation, and retention of fine particles, and controlling temperature and humidity within required ranges can achieve the clean room requirements for a safe-to-breath indoor space.

[0006] In view of these circumstances, the main objective of this invention is to detect indoor air quality in indoor spaces and solve air pollution problems, realize real-time detection of air pollution in indoor spaces, complete purification, and clean room treatment, and provide ventilation operation, prevent air pollution from the outdoor space from entering the indoor space, meet the clean room requirements for the indoor space, and avoid the impact and damage to human health caused by gases in the environment. Summary of the Invention [Problem to be solved by the invention]

[0007] The main objective of the present invention is to provide a positive pressure control method for an indoor air purification network control system, which includes providing a plurality of gas detectors to detect air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information for indoor and outdoor spaces, and providing at least one indoor air pollution treatment device, the at least one indoor air pollution treatment device including at least one ventilation device for ventilating the indoor space, at least one purification and filtration device for thoroughly purifying and performing clean room treatment for the air pollution in the indoor space, and at least one air conditioning device for adjusting the temperature and humidity of the indoor space, each indoor air pollution treatment device including at least one induction fan, at least one filter unit, and at least one drive controller, and providing a network-connected cloud computing service device that receives the air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information for the indoor and outdoor spaces via Internet of Things communication, and intelligently compares and selectively issues control commands based on the detection information to control each indoor air pollution treatment device. The gas detector installed in the management device connects to a network-connected cloud computing service device to form a smart interlocking system, which instantly and intelligently interlocks with the gas detectors in the indoor space, outdoor space, and indoor air pollution treatment device to control the operation of the indoor air pollution treatment device, monitoring the air quality and temperature / humidity adjustment of the indoor space anytime and anywhere, and inducing air pollution to purify and filter it. At the same time, the ventilation device obtains the result of whether the difference in carbon dioxide (CO2) between the indoor space and the outdoor space is zero, and continues to introduce air at positive pressure into the indoor space to perform ventilation operation of the indoor space, preventing air pollution from the outdoor space from entering the indoor space. If the difference is zero, it controls the induction fan of the indoor air pollution treatment device to adjust the rotation speed and reduce the air volume, effectively controlling the energy-saving efficiency of the device operation and effectively suppressing the generation of induced air volume noise, achieving real-time detection, complete purification, and clean room treatment of air pollution, and achieving clean room-class cleanliness. [Means for solving the problem]

[0008] To achieve the above object, the present invention provides a positive pressure control method for an indoor air purification network control system, the method comprising the steps of: providing a plurality of gas detectors, the plurality of gas detectors being arranged in an indoor space and an outdoor space and detecting air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information; providing a network-connected cloud computing service device, the network-connected cloud computing service device receiving and storing the air pollution information, the carbon dioxide (CO2) pressure detection information, and the air temperature and humidity information of the indoor space and the outdoor space via Internet of Things communication to form an air pollution big data database, intelligently comparing and selectively issuing a control command based on the detected air pollution information, the carbon dioxide (CO2) pressure detection information, and the air temperature and humidity information; and providing at least one indoor air pollution treatment device, the at least one indoor air pollution treatment device being arranged in the indoor space and having at least one gas detector installed therein. and a network-connected cloud computing service device for receiving, intelligently comparing, and selectively issuing the control command based on the information on the pressure detection of carbon dioxide (CO2) in the indoor space detected by the gas detector inside the ventilation device, the gas detector disposed in the indoor space, and the gas detector disposed in the outdoor space, wherein the network-connected cloud computing service device is configured to receive, intelligently compare, and selectively issue the control command based on the information on the pressure detection of carbon dioxide (CO2) in the indoor space detected by the gas detector inside the ventilation device, the gas detector disposed in the indoor space, and the gas detector disposed in the outdoor space, wherein the information on the pressure detection of carbon dioxide (CO2) in the indoor space detected by the gas detector inside the ventilation device, the gas detector disposed in the indoor space, and the gas detector disposed in the outdoor space,and intelligently comparing the pressure difference of carbon dioxide (CO2) between the indoor space and the outdoor space based on the detected carbon dioxide (CO2) pressure detection information transmitted to the network-connected cloud computing service device via Internet of Things communication and performing ventilation operation for the indoor space. Also, the network-connected cloud computing service device compares the pressure difference of carbon dioxide (CO2) between the indoor space and the outdoor space to determine whether the pressure difference is zero, and if the pressure difference is not zero, selectively issues and transmits the control command to the gas detector of the ventilation device to drive and control the drive controller, operate the induction fan, continuously introduce air into the indoor space at positive pressure, perform ventilation operation for the indoor space, and prevent air pollution from the outdoor space from entering the indoor space. Furthermore, the network-connected cloud computing service device also performs ventilation operation for the indoor space based on the detected carbon dioxide (CO2) pressure detection information transmitted to the network-connected cloud computing service device via Internet of Things communication. and when the gas detectors in the purification / filtering device and the air conditioner receive the control command, they drive and control the drive controller to operate the induction fan, thereby continuously performing complete purification / clean room treatment and temperature / humidity adjustment for air pollution in the indoor space. When the network-connected cloud computing service device compares the carbon dioxide (CO2) pressure in the indoor space with that in the outdoor space and determines that the pressure difference is zero, it sends the control command to the gas detectors in the purification / filtering device and the air conditioner, thereby driving and controlling the drive controller, controlling the induction fan to adjust the rotation speed and reduce the air volume, thereby achieving real-time detection of air pollution, complete purification, and clean room treatment, and achieving clean room-class cleanliness. [Brief explanation of the drawings]

[0009] [Figure 1A] FIG. 1 is a diagram illustrating an embodiment of the positive pressure control method of the indoor air purification network control system of the present invention in use in an indoor space. [Figure 1B] 1 is a schematic diagram showing a ventilation device for the indoor air pollution treatment device of the present invention. FIG. [Figure 1C]FIG. 1 is a schematic diagram showing a fan filter unit (FFU) of the indoor air pollution treatment device of the present invention. [Figure 1D] 1 is a schematic diagram showing an air purifier of an indoor air pollution treatment device of the present invention. [Figure 1E] 1A and 1B are cross-sectional views of an air purifier, which is an indoor air pollution treatment device according to the present invention. [Figure 1F] 1A and 1B are cross-sectional views of the dehumidifier of the indoor air pollution treatment device of the present invention. [Figure 1G] 1A and 1B are cross-sectional views of the vacuum cleaner of the indoor air pollution treatment device of the present invention. [Figure 1H] This is a schematic diagram showing the flow in which the ventilation device of the present invention compares the carbon dioxide (CO2) pressure in the indoor space and the outdoor space through a network-connected cloud computing service device, determines whether the pressure difference is zero, and controls the introduction of positive pressure air. [Figure 2] 1 is a schematic diagram showing the assembly relationship of a filter unit of the indoor air pollution treatment device of the present invention. FIG. [Figure 3A] 1 is a three-dimensional schematic view of the external appearance of a gas detector according to the present invention. [Figure 3B] FIG. 2 is a schematic three-dimensional external view of the gas detector of the present invention as viewed from another angle. [Figure 3C] 1 is a schematic view showing the appearance of a gas detector of the present invention in which a gas detection module is installed inside. [Figure 4A] 1 is a schematic diagram (1) of a three-dimensional assembly of the gas detection body of the present invention. FIG. [Figure 4B] 1 is a schematic diagram (II) of a three-dimensional assembly of the gas detection body of the present invention; [Figure 4C] 1 is a schematic exploded view of a gas detector according to the present invention; [Figure 5A] 1 is a schematic three-dimensional view of the base of the present invention (1); [Figure 5B] FIG. 2 is a schematic diagram of the base of the present invention; [Figure 6] 1 is a schematic diagram of the base of the present invention (III); [Figure 7A]FIG. 2 is a schematic three-dimensional view showing an exploded state of the piezoelectric actuator and the base of the present invention. [Figure 7B] FIG. 2 is a schematic three-dimensional view showing an assembled state of the piezoelectric actuator and a base according to the present invention. [Figure 8A] 1 is a schematic exploded view (1) of a piezoelectric actuator according to the present invention. FIG. [Figure 8B] FIG. 2 is a schematic exploded view (II) of the piezoelectric actuator of the present invention. [Figure 9A] 1 is a cross-sectional view (1) illustrating the operation of the piezoelectric actuator of the present invention. [Figure 9B] 10 is a cross-sectional view (2) showing the operation of the piezoelectric actuator of the present invention. FIG. [Figure 9C] 10 is a cross-sectional view (3) showing the operation of the piezoelectric actuator of the present invention. FIG. [Figure 10A] FIG. 1 is an assembled cross-sectional view of the gas detection body (1). [Figure 10B] FIG. 2 is an assembled cross-sectional view of the gas detection body (2). [Figure 10C] FIG. 2 is an assembled cross-sectional view (3) of the gas detection body. [Figure 11] FIG. 2 is a schematic diagram of signal transmission in the gas detector of the present invention. [Figure 12A] FIG. 2 is a schematic diagram illustrating the structure of a network-connected cloud computing service device of the present invention; [Figure 12B] FIG. 1 is a structural diagram of the artificial intelligence generated content (AIGC) model of the present invention. [Figure 13] 1 is a comparison table of the equivalent clean air supply rate (CADR) required per cubic meter for clean room classes ZAPClean room 1 to 12 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0010] The following detailed description will discuss in detail embodiments embodying the features and advantages of the present invention. It should be understood that the present invention may be modified in various ways in different embodiments without departing from the scope of the present invention, and that the description and drawings are illustrative in nature and are not intended to limit the present invention.

[0011] The present invention is a positive pressure control method for an indoor air purification network control system, which includes the following steps:

[0012] 1. Provided are a plurality of gas detectors 1. The plurality of gas detectors 1 are arranged in an indoor space A and an outdoor space B, and detect air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information. As shown in FIG. 1A, the plurality of gas detectors 1 are arranged in an indoor space A and an outdoor space B, and detect air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information, and output the air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information via Internet of Things (IoT) communication.

[0013] 2. Provide at least one indoor air pollution treatment device 2. The at least one indoor air pollution treatment device 2 is installed in the indoor space A, and has at least one gas detector, at least one induction fan 21, at least one filter unit 22, and at least one drive controller 23 disposed therein, the gas detector 1 is electrically connected to the drive controller 23, and receives the control command via Internet of Things communication and provides it to the drive controller 23 to operate the induction fan 21, and the indoor air pollution treatment device 2 includes at least one ventilation device 2a that ventilates the indoor space, at least one purification and filtering device 2b that performs complete purification and clean room treatment on air pollution in the indoor space, and at least one air conditioning device 2c that adjusts the temperature and humidity of the indoor space.

[0014] 3. Provided is a network-connected cloud computing service device 3. The network-connected cloud computing service device 3 receives and stores the air pollution information, the carbon dioxide (CO2) pressure detection information, and the air temperature and humidity information of the indoor space A and the outdoor space B via Internet of Things communication to form an air pollution big data database, and intelligently compares and selectively issues control commands based on the detected air pollution information, the carbon dioxide (CO2) pressure detection information, and the air temperature and humidity information.

[0015] 4. The network-connected cloud computing service device 3 receives the carbon dioxide (CO2) pressure detection information, intelligently compares it, and selectively issues a control command. The carbon dioxide (CO2) pressure detection information in the indoor space A detected by the gas detector 1 inside the ventilation device 2a, the gas detector 1 located in the indoor space, and the gas detector 1 located in the outdoor space B is transmitted to the network-connected cloud computing service device 3 via Internet of Things communication. Based on the detected carbon dioxide (CO2) pressure detection information, the network-connected cloud computing service device 3 intelligently compares the carbon dioxide (CO2) pressure difference between the indoor space A and the outdoor space B, and performs the ventilation operation of the indoor space A.

[0016] 5. Compare the carbon dioxide (CO2) pressures of the indoor space A and the outdoor space B to determine whether the pressure difference is zero; if not, selectively issue and send the control command to the gas detector 1 of the ventilation device 2a to drive and control the drive controller 23, operate the induction fan 21, continuously introduce air into the indoor space A at positive pressure, perform ventilation operations for the indoor space A, and prevent air contamination in the outdoor space B from entering the indoor space A; if the pressure difference is zero, selectively send the control command to the gas detector 1 of the ventilation device 2 to drive and control the drive controller 23 to stop the operation of the induction fan 21.

[0017] 6. Upon receiving the control command, the gas detectors 1 inside the purification / filtering device 2b and the air conditioning device 2c drive and control the drive controller 23 to operate the induction fan 21, thereby continuously performing complete purification / clean room treatment and temperature / humidity adjustment for air pollution inside the indoor space A. When the network-connected cloud computing service device compares the carbon dioxide (CO2) pressure between the indoor space A and the outdoor space B and determines that the pressure difference is zero, it sends the control command to the gas detectors 1 inside the purification / filtering device 2b and the air conditioning device 2c, thereby driving and controlling the drive controller 23 and controlling the induction fan 21 to adjust the rotation speed and reduce the airflow, thereby achieving real-time detection of air pollution, complete purification, and clean room treatment, and achieving clean room-class cleanliness.

[0018] In particular, the gas detector 1 has a built-in gas detection module. As shown in FIGS. 3A and 3B, the gas detector 1 may have an external power terminal and be configured to initiate detection of air pollution, carbon dioxide (CO2) pressure, and air temperature and humidity information by directly plugging the external power terminal into the power interface of indoor space A. Alternatively, as shown in FIG. 3C, the gas detector 1 may not have an external power terminal and be directly connected to and electrically connected to an indoor air pollution treatment device, receiving a control command to control the power supply of the indoor air pollution treatment device and thereby starting operation. The air pollution refers to any one or a combination of suspended particulate matter, carbon monoxide, carbon dioxide, ozone, sulfur dioxide, nitrogen dioxide, lead, total volatile organic compounds, formaldehyde, bacteria, fungi, and viruses.

[0019] In particular, the Internet of Things (IoT) communication refers to a collective network of various connected devices, supporting communication between the devices and the cloud and between devices. The IoT communication may be wired communication for connecting to a network-connected cloud computing service device via a wire. The IoT communication may also be wireless communication for connecting to a network-connected cloud computing service device 3 via a wireless connection. The wireless communication may be any one of a Wi-Fi module, a Bluetooth module, a radio frequency identification module, and a short-range communication module. As shown in FIGS. 12A and 12B, the network-connected cloud computing service device 3 includes a wireless network cloud computing service module 31, a cloud control service unit 32, a device management unit 33, an application unit 34, and an artificial intelligence generated content model (AIGC) 35. The wireless network cloud computing service module 31 receives indoor air pollution information, carbon dioxide (CO2) pressure detection information, air temperature and humidity information, and communication information from the indoor air pollution treatment device 2 (as shown in FIG. 1A), and sends control commands. The wireless network cloud computing service module 31 transmits and stores the received indoor air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information of indoor space A and outdoor space B to the cloud control service unit 32 to form an air pollution big data database, performs intelligent calculations and comparisons using the air pollution big data database, issues control commands and transmits them to the wireless network cloud computing service module 31, and sends them to the indoor air pollution treatment devices via the wireless network cloud computing service module 31 to operate them, and the device management unit 33 receives communication information of the indoor air pollution treatment devices via the wireless network cloud computing service module 31 to manage user registration and device binding, and provides management information of the indoor air pollution treatment devices to the application unit 34 to control and manage the system.The application unit 34 also acquires and displays air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information via the cloud control service unit 32, allowing users to monitor the air pollution decontamination status in real time using their mobile phones or communication devices. Furthermore, users can control the indoor air purification network control system through the application unit 34 on their mobile phones or communication devices. The artificial intelligence generated content model (AIGC) 35 provides specialized data for the indoor air purification network control system, including outdoor and indoor air pollution data for the building, indoor space data for the building, clean room class data, air purification system hardware specifications, and air purification system software specifications. The artificial intelligence generated content model (AIGC) 35 also provides user-generated information for the indoor air purification network control system, including indoor space parameter data for the user's building, experimentally measured air pollution parameter data for the user's building's indoor space, and air exchange rate parameter data for the air conditioning control system for the user's building's indoor space. The artificial intelligence generated content model (AIGC) 35 receives expert-generated data and user-generated data and generates automatically generated data through calculation, comparison, and identification. The automatically generated data includes the number of optimized air purifying hardware, optimized performance control of the air purifying hardware, optimized noise reduction control of the air purifying hardware, minimized initial setup cost information of the air purifying system, and minimized operating cost information of the air purifying system.

[0020] In particular, as shown in FIG. 1A , the indoor air pollution treatment devices are installed in an indoor space A, and each indoor air pollution treatment device 2 includes an induction fan 21, a filter unit 22, and a drive controller 23. At least one gas detector 1 is disposed therein, and the gas detector 1 is electrically connected to the drive controller 23, and receives control commands from the network-connected cloud computing service device 3 via Internet of Things communication and transmits them to the drive controller 23 to operate the induction fan 21. The indoor air pollution treatment device 2 includes at least one ventilation device 2a that ventilates the indoor space, at least one purification and filtering device 2b that performs complete purification and clean room treatment on air pollution in the indoor space, and at least one air conditioning device 2c that adjusts the temperature and humidity of the indoor space, and the purification and filtering device 2b includes at least one air purifier 2b1, at least one fan filter unit (FFU) 2b2, at least one exhaust device 2b3, at least one smoke extractor system 2b4, at least one dehumidifier 2b5, and at least one mobile vacuum cleaner 2b6, and the gas detector 1 installed inside the indoor air pollution treatment device 2 is electrically connected to a drive controller 23 and receives control commands via Internet of Things communication and sends them to the drive controller 23 to operate the induction fan 21.

[0021] In particular, the network-connected cloud computing service device 3 receives carbon dioxide (CO2) pressure detection information in the indoor space A and the outdoor space B detected by the gas detector 1 inside the ventilation device 2a, the gas detector 1 disposed in the indoor space A, and the gas detector 1 disposed in the outdoor space B via Internet of Things communication, and intelligently compares the carbon dioxide (CO2) pressure difference between the indoor space A and the outdoor space B based on the carbon dioxide (CO2) pressure information detected by each of the detectors, and performs ventilation operation for the indoor space A. As shown in FIG. 1H, the network-connected cloud computing service device 3 receives detection information from the ventilation device 2a via Internet of Things communication, compares the carbon dioxide (CO2) pressures in the indoor space A and the outdoor space B, and determines whether the pressure difference is zero. If the pressure difference is not zero, it selectively issues a control command to the gas detector 1 of the ventilation device 2a to drive and control the drive controller 23 to operate the induction fan 21, continuously introducing air into the indoor space A at positive pressure, thereby ventilating the indoor space A and preventing air pollution from the outdoor space B from entering the indoor space A. If the pressure difference is zero, it selectively issues a control command to the gas detector 1 of the ventilation device 2a to drive and control the drive controller 23 to stop the operation of the induction fan 21.As described above, in the positive pressure control method of the indoor air purification network control system, when the ventilation device 2a is operated to perform ventilation, a positive pressure of 0 Pa or more must be maintained in the indoor space A to prevent air pollution from the outdoor space B from entering the indoor space A. The gas detector 1 in the purification / filtering device 2b and the air conditioning device 2c continuously receives a control command from the network-connected cloud computing service device 3, and drives and controls the drive controller 23 to operate the induction fan 21, thereby continuously performing complete purification / clean room treatment and temperature / humidity adjustment for air pollution inside the indoor space A. The network-connected cloud computing service device 3 continuously receives a control command from the network-connected cloud computing service device 3, and drives and controls the drive controller 23 to operate the induction fan 21, thereby continuously performing complete purification / clean room treatment and temperature / humidity adjustment for air pollution inside the indoor space A. When the cloud computing service device 3 compares and determines that the carbon dioxide (CO2) pressure difference between the indoor space A and the outdoor space B is zero, the network-connected cloud computing service device 3 sends a control command to the purification and filtering device 2b and the gas detector 1 inside the air conditioning device 2c, and controls the drive controller 23 to reduce the rotation speed of the induction fan 21 and adjust the air volume, effectively controlling the energy-saving efficiency during device operation and effectively suppressing the generation of induction air volume noise, thereby realizing real-time detection, complete purification, and clean room treatment of air pollution, and achieving clean room-class cleanliness.

[0022] From the above description, a specific implementation of the positive pressure control method of the indoor air purification network control system of the present invention can be understood. The following describes in detail the operation of each indoor air pollution treatment device 2 that achieves complete purification of indoor air pollution and clean room treatment. As shown in FIGS. 1A and 1B, the indoor space A is provided with at least one air intake C1 and at least one air exhaust C2. The ventilation device 2a includes an air guide passage 24, which has an air intake port 24a corresponding to the air intake C1 of the indoor space A, a circulation return port 24b communicating with the indoor space A, and a filtered air duct 24c communicating with the indoor space A. The circulation return port 24b is provided with a ventilation fan 25, and the filtered air duct 24c is provided with an induction fan 21 and a filter unit 22. The network-connected cloud computing service device 3 intelligently calculates and compares air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information for the indoor space A and the outdoor space B. If the air pollution information for indoor space A is higher than that for outdoor space B, network-connected cloud computing service device 3 sends a control command to gas detector 1 within ventilation device 2a via Internet of Things (IoT) communication, controlling drive controller 23 to operate induction fan 21 and ventilation fan 25. Air from outdoor space B is drawn into filtered air duct 24c through intake port C1, filtered by filter unit 22, and then introduced into indoor space A. At the same time, air from indoor space A also re-enters filtered air duct 24c through circulation return port 24b, where it is circulated and filtered. The temperature is adjusted for ventilation, and the difference in carbon dioxide (CO2) pressure detection values ​​between indoor space A and outdoor space B becomes zero. In particular, when ventilation device 2a is activated, indoor space A is always maintained at a positive pressure of 0 Pa or higher to prevent air pollution from outdoor space B from entering indoor space A. Ventilation device 2a may be, but is not limited to, a ventilator, a total heat exchanger, or an air conditioning (HVAC) control system.

[0023] As shown in Figures 1A, 1D and 1E, the air purifier 2b1 is plugged into the indoor space A, and a control command sent from a network-connected cloud computing service device 3 is sent to a dust detector 1 inside the air purifier 2b1 via Internet of Things communication, which drives and controls a drive controller 23 to operate an induction fan 21, thereby inducing air pollution in the indoor space A and filtering and purifying it through a filter unit 22, and the purified air is introduced back into the indoor space A, and the air pollution in the indoor space A enters the filter unit 22 multiple times, thereby performing complete air pollution purification and clean room treatment.

[0024] As shown in Figures 1A and 1C, the fan filter unit (FFU) 2b2 is built-in in the indoor space A, and the fan filter unit (FFU) 2b2 has an air guide passage 24, and the air guide passage 24 has a circulation return port 24b that communicates with the indoor space A and a filtered air passage 24c that communicates with the indoor space A, and an induction fan 21 and a filter unit 22 are provided in the filtered air passage 24c. A control command sent from the network-connected cloud computing service device 3 is sent via Internet of Things communication to the gas detector 1 inside the fan filter unit (FFU) 2b2, which drives and controls the drive controller 23 to operate the induction fan 21, thereby inducing air pollution in the indoor space A to enter the air guide passage 24 from the circulation return port 24b, pass through the filtered air passage 24c, be filtered and purified by the filter unit 22, and then be introduced back into the indoor space A. The air pollution in the indoor space A enters the air guide passage 24 multiple times, effectively suppressing the gas backflow effect of the circulation filtration, and performing complete air pollution purification and clean room treatment.

[0025] As shown in FIG. 1A, the exhaust device 2b3 is built in the indoor space A and communicates with the outdoor space B through the exhaust port C2. A control command sent from the network-connected cloud computing service device 3 is transmitted to the dust detector 1 inside the exhaust device 2b3 via Internet of Things communication, which drives and controls the drive controller 23 to operate the induction fan 21. The air pollution in the indoor space A is guided by the induction fan 21 and introduced into the filter unit 22, where it is filtered and purified before being discharged to the outdoor space B, thereby achieving complete purification of the air pollution in the indoor space A and clean room treatment.

[0026] As shown in FIG. 1A, when cooking in the kitchen area of ​​indoor space A, serious air pollution occurs relatively quickly. To prevent the air pollution generated in indoor space A from affecting and damaging human health, a smoke exhaust system 2b4 can be installed in the kitchen area of ​​indoor space A as an indoor air pollution treatment device in the indoor air purification network control system. The smoke exhaust system 2b4 includes an exhaust passage 2b4a and an oil and smoke exhaust body 2b4b. The exhaust passage 2b4a communicates with the outdoor space B corresponding to the exhaust port C2 and is located above the cooking appliance H. The exhaust passage 2b4a is equipped with an induction fan 21, a filter unit 22, and a drive controller 23. The oil and smoke exhaust body 2b4b communicates with the outdoor space B corresponding to the exhaust port C2 and is located in front of the cooking appliance H. The induction fan 21, a filter unit 22, and a drive controller 23 are installed in the exhaust passage 2b4a. Then, inside the exhaust passage 2b4a and the exhaust oil smoke main body 2b4b, there are provided dust detectors 1 electrically connected to the drive controller 23, and a control command sent from the network-connected cloud computing service device 3 is sent to the dust detectors 1 inside the exhaust passage 2b4a and the exhaust oil smoke main body 2b4b via Internet of Things communication, which drives and controls the drive controller 23 to operate the induction fan 21, thereby causing air pollution at the kitchen position in the indoor space A to enter the inside of the exhaust passage 2b4a and the inside of the exhaust oil smoke main body 2b4b, where it is filtered and purified by the filter unit 22 and then discharged to the outdoor space B, thereby performing complete air pollution purification and clean room treatment.

[0027] As shown in FIG. 1A, the dehumidifier 2b5 is plugged into the room A, and a control command sent from a network-connected cloud computing service device 3 is sent to a dust detector 1 inside the dehumidifier 2b5 via Internet of Things communication, which drives and controls a drive controller 23 to operate an induction fan 21, thereby inducing air pollution in the room A, and a filter unit 22 performs complete air pollution purification and clean room treatment, thereby adjusting the temperature and humidity of the air in the room A. In particular, when the dehumidifier 2b5 adjusts the temperature and humidity, safety values ​​are set to maintain a temperature of 25°C ± 3°C and a humidity of 50% ± 10%.

[0028] 1A and 1G, the mobile vacuum cleaner 2b6 is plugged into an indoor space A, and a control command sent from a network-connected cloud computing service device 3 is sent to a dust detector 1 inside the mobile vacuum cleaner 2b6 via Internet of Things communication, which drives and controls a drive controller 23 to operate an induction fan 21, thereby inducing air pollution in the indoor space A, and a filter unit 22 completely purifies the air pollution and performs clean room treatment. In particular, the mobile vacuum cleaner 2b6 is a cleaning robot.

[0029] As shown in FIG. 1A, the air conditioner 2c is installed in the indoor space A and includes a cooling / heating heat exchanger 26. A control command sent from a network-connected cloud computing service device 3 is transmitted to a gas detector 1 inside the air conditioner 2c via Internet of Things (IoT) communication, which controls a drive controller 23 to operate an induction fan 21, thereby inducing air to pass through the cooling / heating heat exchanger 26 and adjusting the temperature and humidity of the air in the indoor space A. The gas detector 1 transmits information about the air temperature and humidity in the indoor space A to the outside. In particular, the air conditioner 2c adjusts the temperature and humidity of the indoor space A to maintain 25°C ± 3°C and 50% ± 10%.

[0030] As can be seen from the above, the indoor air purification network control system of the present invention realizes real-time detection of air pollution, complete purification, and clean room treatment, and achieves clean room-class cleanliness. The artificial intelligence generated content (AIGC) model of the network-connected cloud computing service device 3 uses AI to intelligently calculate and determine the equivalent of the clean air delivery rate (CADR) required for indoor space A, and then determines the number of indoor air pollution treatment devices and the optimal clean air delivery rate (CADR) for the induction fan 21 based on the required equivalent of the clean air delivery rate (CADR), thereby achieving real-time detection of air pollution, complete purification, and clean room treatment, and optimizing the costs of complete purification and clean room treatment.

[0031] As shown in Figure 13, the clean room class required for indoor space A of the present invention is ZAPClean Room 1-12. Therefore, the indoor air purification network control system performs AI calculations using the artificial intelligence generated content (AIGC) model 35 of the network-connected cloud computing service device 3 to determine the required equivalent clean air delivery rate (CADR) for indoor space A. Based on the required equivalent clean air delivery rate (CADR), the system can determine the number of indoor air pollution treatment devices to be installed and the optimal clean air delivery rate (CADR) for the induction fan 21. This allows the air quality in indoor space A to be monitored anytime and anywhere, and the cost of complete purification and clean room treatment to be optimized. In particular, the required equivalent clean air delivery rate (CADR) refers to the clean air delivery rate (CADR) required for the induction fan 21 to completely purify air pollution in indoor space A at this time.

[0032] A preferred example of the required equivalent of the clean air supply rate (CADR) in the indoor space A of the present invention will be exemplified below.

[0033] Here, the positive pressure control method of the indoor air purification network control system can obtain the required equivalent of clean air delivery rate (CADR) for indoor space A by inputting the region of this indoor space A. For example, if the indoor space is located in the Taipei area and a cleanliness level of ZAPClean room 9 is required for a space of 3 ping (1 ping = 3.305785 square meters) of the indoor space, the required equivalent of clean air delivery rate (CADR) can be obtained.

[0034] The positive pressure control method of the indoor air purification network control system of the present invention can intelligently perform calculation analysis based on the big data database of the air pollution prevention system B, for example, the comparison table of the equivalent clean air supply rate (CADR) required per cubic meter of ZAPClean rooms 1 to 12 in Figure 13.

[0035] The equivalent clean air supply rate (CADR) required per cubic meter of ZAPClean rooms 1 to 12 of the present invention is as follows:

[0036] For ZAPClean room 1, the equivalent clean air delivery rate (CADR) required per cubic meter is 195,000 to 370,000 m 3 / h range, and for ZAPClean room 2, the equivalent clean air delivery rate (CADR) required per cubic meter is 58,000 to 115,000 m 3 / h range, and for ZAPClean room 3, the equivalent clean air delivery rate (CADR) required per cubic meter is 17,500 to 35,000 m 3 / h range, and for ZAPClean room 4, the equivalent clean air delivery rate (CADR) required per cubic meter is 5200 to 10000 m 3 / h range, and for ZAPClean room 5, the equivalent clean air delivery rate (CADR) per cubic meter is 1500-3000m 3 / h range, and for ZAPClean room 6, the equivalent clean air delivery rate (CADR) per cubic meter is 450-1000m 3 / h range, and for ZAPClean room 7, the equivalent clean air delivery rate (CADR) per cubic meter is 135 to 300 m 3 / h range, and for ZAPClean room 8, the equivalent clean air delivery rate (CADR) per cubic meter is 60 to 135 m 3 / h range, and for ZAPClean room 9, the equivalent clean air delivery rate (CADR) per cubic meter is 35 to 80 m 3 / h range, and for ZAPClean room 10, the equivalent clean air delivery rate (CADR) per cubic meter is 15 to 40 m 3 / h range, and for ZAPClean room 11, the equivalent clean air delivery rate (CADR) per cubic meter is 10 to 30 m 3 / h range, and for ZAPClean room 12, the equivalent clean air delivery rate (CADR) per cubic meter is 3 to 10 m 3 / h range.

[0037] As can be seen from the above, by inputting that indoor space A is located in Taipei and the required space volume, the artificial intelligence generated content (AIGC) model 35 of the network-connected cloud computing service device 3 can intelligently calculate and determine the required equivalent clean air delivery rate (CADR) for complete air pollution purification and clean room treatment. Through calculation, it is determined that the maximum PM2.5 value over five years in the Taipei area is 37 and the average value is 11.9. In this case, the average value of 11.9 falls within the average value range of 10-15 in the comparison table, and the ratio of the maximum value 37 / average value 11.9 is 3.1, which falls within the maximum value / average value range of 3-4 in the average value range of 10-15 in the comparison table, and a cleanliness level of ZAPClean room 9 is required. Therefore, the equivalent clean air delivery rate (CADR) required per cubic meter of ZAPClean room 9 cleanliness in this indoor space area is 56.26 m 3 / h. The indoor space is 30 tsubo (268 m 3 ) is required, so 56.26m 3 / h, the equivalent clean air delivery rate (CADR) required for the indoor space is 15078 m 3 / h. Therefore, the required equivalent clean air supply rate (CADR) of the indoor air pollution treatment device 2 to completely purify air pollution and perform clean room treatment is 15,000 m 3 Therefore, the indoor air pollution treatment device 2 of the present invention can achieve an optimal clean air delivery rate (CADR) of 1000 m by arranging the induction fans 21 of the three ventilation devices 2a. 3 / h, and by arranging 15 Fan Filter Units (FFU) 2b2 induction fans 21, the optimum clean air delivery rate (CADR) is 800m 3 / h, and the required equivalent of the clean air supply rate (CADR) of the indoor air pollution treatment device that performs complete air pollution purification and clean room treatment is 15,000m 3 / h. However, the present invention is not limited to this, and the required equivalent of clean air supply rate (CADR) for indoor space A can be determined based on the required equivalent of clean air supply rate (CADR), and the optimal number of indoor air pollution treatment devices 2 and the optimal clean air supply rate (CADR) of the induction fans 21 of the indoor air pollution treatment devices 2 can be determined, thereby real-time detection, complete purification, and clean room treatment of air pollution can be achieved, and clean room-class cleanliness and the cost of complete purification and clean room treatment can be optimized.

[0038] To better understand the positive pressure control method of the indoor air purification network control system provided by the present invention, the structure of the gas detection module of the gas detector 1 of the present invention will be described in detail below. See FIGS. 3A to 11. The gas detection module comprises a control circuit board 11, a gas detection main body 12, a microprocessor 13, and a communicator 14. The gas detection main body 12, microprocessor 13, and communicator 14 are integrally packaged on the control circuit board 11 and electrically connected to each other. The microprocessor 13 and communicator 14 are also mounted on the control circuit board 11, and the microprocessor 13 controls the drive signal of the gas detection main body 12 to initiate the detection operation. In this manner, the gas detection main body 12 detects air pollution and outputs detection information. The microprocessor 13 receives and processes the detection information, and provides it to the communicator 14. The communicator 14 then transmits it to an external network-connected cloud computing service device 3 via Internet of Things (IoT) communication.

[0039] 4A to 9A, the gas detection body 12 includes a base 121, a piezoelectric actuator 122, a drive circuit board 123, a laser member 124, a particle sensor 125, and an outer cover 126. The base 121 includes a first surface 1211, a second surface 1212, a laser mounting area 1213, a gas inlet groove 1214, a gas guide assembly mounting area 1215, and a gas outlet groove 1216. The first surface 1211 and the second surface 1212 are two surfaces facing each other. The laser mounting area 1213 is formed by hollowing out from the first surface 1211 toward the second surface 1212. The outer cover 126 covers the base 121 and includes a side panel 1261. The side panel 1261 includes an intake frame opening 1261a and an exhaust frame opening 1261b. The gas inlet groove 1214 is recessed from the second surface 1212 and is adjacent to the laser installation area 1213. The gas inlet groove 1214 has an intake port 1214a that communicates with the outside of the base 121 and corresponds to the intake frame port 1261a of the outer cover 126. Both side walls of the gas inlet groove 1214 have light-transmitting windows 1214b that penetrate the piezoelectric actuator 122 and communicate with the laser installation area 1213. Therefore, the first surface 1211 of the base 121 is covered by the outer cover 126, and the second surface 1212 is covered by the drive circuit board 123, thereby defining an intake path by the gas inlet groove 1214. The gas guide assembly mounting area 1215 has a recessed second surface 1212 that communicates with the gas inlet groove 1214, a vent hole 1215a formed through the bottom surface, and positioning protrusions 1215b provided at each of the four corners of the gas guide assembly mounting area 1215. The gas exhaust groove 1216 is provided with an exhaust port 1216a, which is provided to correspond to the exhaust frame port 1261b of the outer cover 126.The gas discharge groove 1216 includes a first section 1216b formed by recessing a portion of the first surface 1211 corresponding to the vertical projection area of ​​the gas guide assembly mounting area 1215, and a second section 1216c formed by hollowing out from the first surface 1211 to the second surface 1212 in an area offset from the vertical projection area of ​​the gas guide assembly mounting area 1215. The first section 1216b and the second section 1216c are connected to form a step, and the first section 1216b of the gas discharge groove 1216 communicates with the vent hole 1215a of the gas guide assembly mounting area 1215, and the second section 1216c of the gas discharge groove 1216 communicates with the exhaust port 1216a. Therefore, when the first surface 1211 of the base 121 is covered with the outer cover 126 and the second surface 1212 is covered with the drive circuit board 123, the gas discharge groove 1216 and the drive circuit board 123 together define an exhaust path.

[0040] The laser member 124 and the particle sensor 125 are both provided on a drive circuit board 123 and located within the base 121. The drive circuit board 123 has been intentionally omitted to clearly explain the positional relationship between the laser member 124, the particle sensor 125, and the base 121. The laser member 124 is housed within a laser installation area 1213 of the base 121, and the particle sensor 125 is housed within a gas inlet groove 1214 of the base 121 and is aligned with the laser member 124. The laser member 124 also corresponds to a light-transmitting window 1214b, which transmits the laser light emitted from the laser member 124, allowing the laser light to be irradiated onto the gas inlet groove 1214. The beam path emitted from the laser member 124 passes through the light-transmitting window 1214b and is perpendicular to the gas inlet groove 1214. The beam emitted from the laser member 124 passes through the light-transmitting window 1214b and enters the gas inlet groove 1214, irradiating the gas in the gas inlet groove 1214. When the beam comes into contact with the gas, it scatters and generates a projected light spot. Since the particle sensor 125 is positioned perpendicular to this, it receives and calculates the scattered projected light spot, thereby obtaining gas detection data.

[0041] The piezoelectric actuator 122 is accommodated in a square-shaped gas guide assembly mounting area 1215 of the base 121. The gas guide assembly mounting area 1215 is connected to a gas inlet groove 1214. When the piezoelectric actuator 122 is operated, gas in the gas inlet groove 1214 is drawn into the piezoelectric actuator 122, passes through a vent hole 1215a in the gas guide assembly mounting area 1215, and is discharged to a gas exhaust groove 1216. The driving circuit board 123 covers the second surface 1212 of the base 121. The laser member 124 is mounted on and electrically connected to the driving circuit board 123. The particle sensor 125 is also mounted on and electrically connected to the driving circuit board 123. When the outer cover 126 covers the base 121, the intake frame 1261a corresponds to the intake port 1214a of the base 121, and the exhaust frame 1261b corresponds to the exhaust port 1216a of the base 121.

[0042] The piezoelectric actuator 122 includes a nozzle plate 1221, a chamber frame 1222, an actuator element 1223, an insulating frame 1224, and a conductive frame 1225. The nozzle plate 1221 is made of a flexible material and includes a suspension plate 1221a and a hollow hole 1221b. The suspension plate 1221a is a sheet-like structure that vibrates in a curved manner, and its shape and size correspond to the inner edge of the gas guide assembly mounting area 1215. The hollow hole 1221b passes through the center of the suspension plate 1221a to allow gas to pass through. In a preferred embodiment of the present invention, the shape of the suspension plate 1221a may be one of a rectangle, a circle, an ellipse, a triangle, and a polygon.

[0043] The chamber frame 1222 is stacked on the blast hole plate 1221, and its appearance corresponds to that of the blast hole plate 1221. The actuator element 1223 is stacked on the chamber frame 1222, and defines a resonance chamber 1226 between the chamber frame 1222 and the suspension plate 1221a. The insulating frame 1224 is stacked on the actuator element 1223, and its appearance is similar to that of the chamber frame 1222. The conductive frame 1225 is stacked on the insulating frame 1224, and its appearance is similar to that of the insulating frame 1224. The conductive frame 1225 has a conductive pin 1225a and a conductive electrode 1225b, with the conductive pin 1225a extending outward from the outer edge of the conductive frame 1225 and the conductive electrode 1225b extending inward from the inner edge of the conductive frame 1225. The actuator element 1223 includes a piezoelectric carrier plate 1223a, a resonance adjustment plate 1223b, and a piezoelectric plate 1223c. The piezoelectric carrier plate 1223a is stacked on the chamber frame 1222. The resonance adjustment plate 1223b is stacked on the piezoelectric carrier plate 1223a. The piezoelectric plate 1223c is stacked on the resonance adjustment plate 1223b. The resonance adjustment plate 1223b and the piezoelectric plate 1223c are housed in an insulating frame 1224. The conductive electrode 1225b of the conductive frame 1225 is electrically connected to the piezoelectric plate 1223c. In a preferred embodiment of the present invention, the piezoelectric carrier plate 1223a and the resonance adjustment plate 1223b are both made of conductive materials. The piezoelectric carrier plate 1223a has a piezoelectric pin 1223d, and the piezoelectric pin 1223d and the conductive pin 1225a are connected to a drive circuit (not shown) on the drive circuit board 123 to receive a drive signal (which may be a drive frequency and drive voltage), forming a drive signal transmission path from the piezoelectric pin 1223d, the piezoelectric carrier plate 1223a, the resonance adjustment plate 1223b, the piezoelectric plate 1223c, the conductive electrode 1225b, the conductive frame 1225 and the conductive pin 1225a. The conductive frame 1225 and the actuator element 1223 are insulated by the insulating frame 1224 to avoid the occurrence of a short circuit phenomenon and allow the drive signal to be transmitted to the piezoelectric plate 1223c.When the piezoelectric plate 1223c receives the drive signal, it deforms due to the piezoelectric effect, and further drives the piezoelectric carrier plate 1223a and the resonance adjustment plate 1223b to generate reciprocating bending vibrations.

[0044] More specifically, the resonance adjusting plate 1223b is located between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a, functions as a buffer between them, and can adjust the vibration frequency of the piezoelectric carrier plate 1223a. Basically, the thickness of the resonance adjusting plate 1223b is thicker than that of the piezoelectric carrier plate 1223a, and the vibration frequency of the actuator element 1223 can be adjusted by changing the thickness of the resonance adjusting plate 1223b.

[0045] 7A, 7B, 8A, 8B, and 9A. The blower plate 1221, the chamber frame 1222, the actuator element 1223, the insulating frame 1224, and the conductive frame 1225 are stacked in this order and positioned in the gas guide assembly mounting area 1215, thereby positioning the piezoelectric actuator 122 in the gas guide assembly mounting area 1215. A gap 1221c for allowing gas to flow is defined between the suspension plate 1221a of the piezoelectric actuator 122 and the inner edge of the gas guide assembly mounting area 1215. A fluid chamber 1227 is defined between the blower plate 1221 and the bottom surface of the gas guide assembly mounting area 1215. The fluid chamber 1227 is connected to the resonance chamber 1226 between the actuator element 1223, the chamber frame 1222, and the suspension plate 1221a via the hollow hole 1221b of the nozzle plate 1221. By bringing the vibration frequency of the gas in the resonance chamber 1226 closer to the vibration frequency of the suspension plate 1221a, the Helmholtz resonance effect is generated between the resonance chamber 1226 and the suspension plate 1221a, improving the gas transport efficiency. When the piezoelectric plate 1223c moves away from the bottom surface of the gas guide assembly mounting area 1215, the suspension plate 1221a of the nozzle plate 1221 is moved away from the bottom surface of the gas guide assembly mounting area 1215 by the piezoelectric plate 1223c, the volume of the fluid chamber 1227 expands suddenly, the internal pressure decreases to negative pressure, and gas outside the piezoelectric actuator 122 is sucked in and flows in through the gap 1221c and enters the resonance chamber 1226 through the hollow hole 1221b, the air pressure inside the resonance chamber 1226 increases, and a pressure gradient is generated. When the suspension plate 1221a of the nozzle plate 1221 is moved toward the bottom surface of the gas guide assembly mounting area 1215 by the piezoelectric plate 1223c, the gas in the resonance chamber 1226 rapidly flows out through the hollow hole 1221b, pushing out the gas in the fluid chamber 1227, and the combined gas is rapidly and massively ejected in a state close to the ideal gas according to Bernoulli's theorem, and is introduced into the ventilation hole 1215a of the gas guide assembly mounting area 1215.

[0046] 9B and 9C, the piezoelectric plate 1223c vibrates back and forth. Due to the principle of inertia, the air pressure inside the resonance chamber 1226 after exhausting the gas drops below the equilibrium pressure, causing the gas to re-enter the resonance chamber 1226. By controlling the vibration frequency of the gas inside the resonance chamber 1226 to approach the vibration frequency of the piezoelectric plate 1223c, Helmholtz resonance is generated, achieving high-speed, large-volume gas transport. All gas enters through the intake frame 1261a of the outer cover 126, passes through the intake port 1214a, enters the gas inlet groove 1214 of the base 121, and flows to the position of the particle sensor 125. The piezoelectric actuator 122 continues to operate, sucking in gas from the intake path, which is advantageous for rapid and stable introduction and distribution of external gas. The gas passes above the particle sensor 125. At this time, the beam from the laser member 124 passes through the light-transmitting window 1214b, enters the gas inlet groove 1214, and passes above the particle sensor 125. When the beam from the laser member 124 is irradiated onto suspended particulate matter in the gas, scattering and projected light spots occur. The particle sensor 125 receives the projected light spots generated by scattering and performs calculations to obtain information on the particle size and concentration of suspended particulate matter contained in the gas. The gas above the particle sensor 125 is also continuously introduced into the vent hole 1215a of the gas guide assembly mounting area 1215 by the driving of the piezoelectric actuator 122, and enters the gas exhaust groove 1216. Finally, after the gas enters the gas exhaust groove 1216, the piezoelectric actuator 122 continues to send the gas into the gas exhaust groove 1216, so that the gas in the gas exhaust groove 1216 is pushed out and discharged to the outside through the exhaust port 1216a and the exhaust frame port 1261b.

[0047] The gas detector 1 of the present invention can detect not only suspended particulate matter in gas but also the characteristics of introduced gases, such as formaldehyde, ammonia gas, carbon monoxide, carbon dioxide, oxygen, and ozone. Therefore, the gas detector 1 of the present invention further includes a gas sensor 127 positioned on and electrically connected to the drive circuit board 123, housed in the gas exhaust groove 1216, and configured to detect the characteristics of the introduced gas. The gas sensor 127 may be a volatile organic compound sensor that detects information on carbon dioxide or total volatile organic compound gases. The gas sensor 127 may be a formaldehyde sensor that detects information on formaldehyde gas. The gas sensor 127 may be a bacteria sensor that detects information on bacteria or fungi. The gas sensor 127 may be a virus sensor that detects information on virus gases. The gas sensor 127 may be a temperature and humidity sensor that detects information on air temperature and humidity.

[0048] Referring again to FIG. 2, when the induction fan 21 of the indoor air pollution treatment device is driven, air pollution is guided to the filter unit 22 and filtered. The filter unit 22 may be a filter with a Minimum Efficiency Reporting Value (MREV) rating of 8 or higher, or a high-efficiency air filter (HEPA) that adsorbs chemical fumes, bacteria, dust particles, and pollen contained in the air pollution, thereby filtering and purifying the introduced air pollution. In particular, the high-efficiency air filter (HEPA) in this embodiment is a high-efficiency air filter (HEPA) rating of 10 or higher, with a dust collection capacity of more than 12,000 mg. The filter unit 22 may further be combined with physical or chemical materials to provide a sterilizing effect on the air pollution passing through it. The airflow direction of the induction fan 21 is indicated by the arrow. A decomposition layer may be applied to the filter unit 22 to chemically sterilize and remove air pollution. The decomposition layer may be activated carbon 22a, which removes organic and inorganic substances in the air pollution as well as colored and odorous substances. In particular, in this embodiment, the formaldehyde absorption capacity of activated carbon 22a exceeds 1500 mg. The decomposition layer may be a chlorine dioxide-containing purification element 22b, which inhibits viruses, bacteria, fungi, influenza A virus, influenza B virus, enterovirus, and norovirus in air pollution, with an inhibition rate of over 99%, helping to reduce cross-infection between viruses. The decomposition layer may be a herbal protective layer 22c extracted from ginkgo and Japanese white ash trees, which can effectively inhibit allergies and destroy the surface proteins of passing influenza viruses (e.g., H1N1). The decomposition layer may be silver ions 22d, which can inhibit viruses, bacteria, and fungi in introduced air pollution. The decomposition layer may be zeolite 22e, which can remove ammonia nitrogen, heavy metals, organic pollutants, E. coli, phenol, chloroform, and anionic surfactants. In some embodiments, the filter unit 22 may be combined with a light-emitting element that chemically sterilizes and removes air pollution.The light irradiation element is a photocatalyst unit including a photocatalyst 22f and an ultraviolet lamp 22g. When the photocatalyst 22f is irradiated by the ultraviolet lamp 22g, it converts light energy into electrical energy, decomposing harmful substances in air pollution for disinfection and sterilization, thereby achieving a filtering and sterilization effect. In particular, in this embodiment, the output of the ultraviolet lamp 22g is 120mW or more. The light irradiation element may be an optical plasma unit including a nano-light tube 22h. When the nano-light tube 22h irradiates the introduced air pollution, oxygen molecules and water molecules in the air pollution are decomposed into highly oxidizing optical plasma, forming an ion flow that destroys organic molecules. Gas molecules such as volatile formaldehyde, toluene, and volatile organic compounds (VOCs) contained in the air pollution are decomposed into water and carbon dioxide, thereby achieving a filtering and sterilization effect. In some embodiments, the filter unit 22 may be combined with a decomposition unit that sterilizes and removes air pollution by chemical means. The decomposition unit may be a negative ion unit 22i, which imparts a positive charge to the fine particles contained in the introduced air pollution and causes them to attach to the negative charges, thereby achieving a filtering and sterilizing effect on the introduced air pollution. The decomposition unit may be a plasma ion unit 22j, which ionizes oxygen molecules and water molecules contained in the air pollution with plasma ions to turn them into positive ions (H). + ) and anions (O 2- ) and the substance with water molecules attached around the ions attaches to the surface of viruses and bacteria, whereupon it is converted into highly oxidizing active oxygen (hydroxyl radical, OH group) through a chemical reaction, which steals hydrogen from the proteins on the surface of the viruses and bacteria and oxidizes and decomposes them, thereby achieving the filtering and sterilization effect of the introduced air pollution.

[0049] In view of the above, the present invention provides a positive pressure control method for an indoor air purification network control system, which includes a plurality of gas detectors for detecting air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information for indoor and outdoor spaces, and at least one indoor air pollution treatment device, which includes at least one ventilation device for ventilating the indoor space, at least one purification and filtering device for thoroughly purifying and performing clean room treatment on the air pollution in the indoor space, and at least one air conditioning device for adjusting the temperature and humidity of the indoor space, each indoor air pollution treatment device having at least one induction fan, at least one filter unit, and at least one drive controller, and a network-connected cloud computing service device for receiving air pollution information, carbon dioxide (CO2) pressure detection information, and air temperature and humidity information for the indoor and outdoor spaces via Internet of Things communication, and intelligently comparing and selectively issuing control commands based on the detection information, and each indoor air pollution treatment device is provided with a network-connected cloud computing service device. The installed gas detector connects to a network-connected cloud computing service device to form a smart interlocking system, which intelligently interlocks with the gas detectors in the indoor space, outdoor space, and indoor air pollution treatment device to instantly control the operation of the indoor air pollution treatment device, monitoring the air quality and temperature / humidity adjustment of the indoor space anytime and anywhere, and inducing air pollution to purify and filter it. At the same time, the ventilation device obtains the result of whether the difference in carbon dioxide (CO2) between the indoor space and the outdoor space is zero, and continues to introduce air at positive pressure into the indoor space to ventilate the indoor space and prevent air pollution from entering the indoor space. If the difference is zero, it controls the induction fan of the indoor air pollution treatment device to adjust the rotation speed and reduce the air volume, effectively controlling the energy-saving efficiency of the device operation and effectively suppressing the generation of induced air volume noise, achieving real-time detection, complete purification, and clean room treatment of air pollution and achieving clean room-class cleanliness, which has extremely high industrial value. [Explanation of symbols]

[0050] A: Indoor space B: Outdoor space C1: Air intake C2: Exhaust port H:Cooking utensils 1: Gas detector 11: Control circuit board 12: Gas detector body 121: Bass 1211: First surface 1212:Second surface 1213: Laser installation area 1214: Gas inlet groove 1214a: Air intake 1214b: Light-transmitting window 1215: Gas induction assembly mounting area 1215a: Ventilation hole 1215b: Positioning protrusion 1216: Gas exhaust groove 1216a:Exhaust port 1216b: First section 1216c: Second section 122: Piezoelectric actuator 1221:Furnace plate 1221a: Suspension plate 1221b: Hollow hole 1221c: void 1222: Chamber frame 1223: Actuator element 1223a: Piezoelectric carrier plate 1223b: Resonance adjustment plate 1223c: Piezoelectric plate 1223d: Piezoelectric pin 1224: Insulation frame 1225: Conductive frame 1225a: Conductive pin 1225b: Conductive electrode 1226:Resonance chamber 1227: Fluid chamber 123: Drive circuit board 124: Laser components 125: Particle sensor 126: Outer cover 1261: Side panel 1261a: Intake frame opening 1261b: Exhaust frame outlet 127: Gas sensor 13: Microprocessor 14:Communication device 2a: Ventilation equipment 2b: Purification and filtration equipment 2b1:Air purifier 2b2: Fan filter unit (FFU) 2b3: Exhaust system 2b4: Smoke exhaust system 2b4a: Exhaust passage 2b4b: Exhaust oil smoke body 2b5:Dehumidifier 2b6: Vacuum cleaner 2c:Air conditioner 21: Induction fan 22: Filter unit 22a:Activated carbon 22b: Cleaning element containing chlorine dioxide 22c: Ginkgo and alder herb protective layer 22d: Silver ions 22e: Zeolite 22f: Photocatalyst 22g: UV lamp 22h: Nano light tube 22i: Negative ion unit 22j: Plasma ion unit 23: Drive controller 24: Air guide passage 24a: Intake port 24b: Circulation return port 24c: Filtration air duct 25: Ventilation fan 26: Cooling / heating heat exchanger 3: Network-connected cloud computing service device 31: Wireless network cloud computing service module 32: Cloud Control Service Unit 33: Device Management Unit 34: Application Unit 35: Artificial Intelligence Generated Content (AIGC) Model

Claims

1. A positive pressure control method for an indoor air purification network control system, comprising:

1. A step of providing a plurality of gas detectors, the plurality of gas detectors being arranged in an indoor space and an outdoor space, and detecting air pollution information, carbon dioxide (CO 2 Detecting pressure detection information and air temperature and humidity information of the air; 2. Providing at least one indoor air pollution treatment device, the at least one indoor air pollution treatment device is installed in the indoor space, and has at least one gas detector, at least one induction fan, at least one filter unit and at least one drive controller disposed therein, the gas detector is electrically connected to the drive controller, and receives control commands via Internet of Things communication and provides them to the drive controller to operate the induction fan, the indoor air pollution treatment device includes at least one ventilation device for ventilating the indoor space, at least one purification and filtration device for performing complete purification and clean room treatment on the air pollution in the indoor space, and at least one air conditioning device for adjusting the temperature and humidity of the indoor space; 3. A step of providing a network-connected cloud computing service device, wherein the network-connected cloud computing service device transmits the air pollution information, the carbon dioxide (CO ) information, and the like of the indoor space and the outdoor space via Internet of Things communication. 2 ) pressure detection information and the temperature and humidity information of the air to form an air pollution big data database, and 2 intelligently comparing the pressure detection information of the air conditioner and the temperature and humidity information of the air, and selectively issuing the control command; 4. The network-connected cloud computing service device 2 ) pressure detection information, intelligently compare it, and selectively issue the control command, and the control command is sent to the ventilation device. The control command is sent to the ventilation device. The control command is sent to the ventilation device. The control command is sent to the ventilation device. 2 ) pressure sensing information is transmitted to the network-connected cloud computing service device via Internet of Things communication, and each of the sensed carbon dioxide (CO 2 ) pressure detection information of the indoor space and the outdoor space, 2 ) and intelligently compare the pressure difference between the two pressures to perform ventilation of the indoor space; 5. Carbon dioxide (CO 2 ) to determine whether the pressure difference is zero; if it is not zero, selectively issuing and sending the control command to the gas detector of the ventilation device to drive and control the drive controller to operate the induction fan, continuously introduce air into the indoor space with positive pressure, perform ventilation operation of the indoor space, and prevent air pollution in the outdoor space from entering the indoor space; if it is zero, selectively sending the control command to the gas detector of the ventilation device to drive and control the drive controller to stop the operation of the induction fan.

6. Upon receiving the control command, the gas detectors in the purification and filtering device and the air conditioner drive and control the drive controller to operate the induction fan, thereby continuously performing complete purification and clean room treatment for air pollution in the indoor space and temperature and humidity adjustment, and the network-connected cloud computing service device detects carbon dioxide (CO 2 and if it is determined that the pressure difference is zero, sending the control command to the gas detector inside the purification / filtering device and the air conditioning device to drive and control the drive controller, and control the induction fan to adjust the rotation speed and reduce the air volume, thereby realizing real-time detection, complete purification, and clean room treatment of air pollution, and achieving clean room-class cleanliness.

2. 2. The positive pressure control method for an indoor air cleaning network control system according to claim 1, wherein the ventilation device is a ventilator, a total heat exchanger, or an air conditioning control system (HVAC), and the purification and filtering device includes at least one air purifier, at least one fan filter unit (FFU), at least one exhaust device, at least one smoke extractor system, at least one dehumidifier, and at least one mobile vacuum cleaner.

3. 2. The positive pressure control method for an indoor air cleaning network control system according to claim 1, wherein the air conditioner adjusts the temperature of the indoor space to 25°C±3°C and the humidity to 50%±10%.

4. 2. The positive pressure control method for an indoor air purifying network control system according to claim 1, wherein the Internet of Things communication is wireless communication for wirelessly connecting and communicating with the network-connected cloud computing service device, and the wireless communication is one of a Wi-Fi module, a Bluetooth (registered trademark) module, a radio frequency identification module, and a short-range communication module.

5. The positive pressure control method of claim 1 , wherein the Internet of Things communication is wired communication for connecting and communicating with the network-connected cloud computing service device via wire.

6. 2. The positive pressure control method for an indoor air cleaning network control system according to claim 1, wherein the gas detector comprises a control circuit board, a gas detection main body, a microprocessor, and a communication device, the control circuit board is electrically connected to the drive controller, the gas detection main body, the microprocessor, and the communication device are integrally packaged on the control circuit board and electrically connected to each other, the microprocessor controls the detection operation of the gas detection main body so that the gas detection main body detects the air pollution, and the microprocessor processes the detected air pollution and provides the air pollution information to the communication device for external communication transmission.

7. The positive pressure control method for an indoor air purification network control system according to claim 1, wherein the filter unit is a filter having a Minimum Efficiency Reporting Value (MREV) class of 8 or higher.

8. 2. The positive pressure control method for an indoor air purification network control system according to claim 1, wherein the filter unit is a high efficiency air filter (HEPA) class filter, and the high efficiency air filter (HEPA) is a high efficiency air filter (HEPA) 10 or higher, and has a dust collection capacity of more than 12,000 mg.

9. 2. The positive pressure control method for an indoor air purification network control system according to claim 1, wherein a decomposition layer is applied on the filter unit to sterilize and remove the air pollutants by chemical means, the decomposition layer being a cleaning element containing activated carbon or chlorine dioxide, and the formaldehyde absorption amount of the activated carbon is more than 1500 mg.

10. 2. The positive pressure control method for an indoor air purification network control system according to claim 1, wherein the filter unit is combined with a light-emitting element that sterilizes and removes air pollutants by chemical means, the light-emitting element being a photocatalyst unit including a photocatalyst and an ultraviolet lamp, the output of the ultraviolet lamp being 120 mW or more, or the light-emitting element being an optical plasma unit including a nano-light tube.

11. 2. The method for controlling positive pressure in an indoor air purification network control system according to claim 1, wherein the network-connected cloud computing service device includes an artificial intelligence generated content (AIGC) model, and the artificial intelligence generated content (AIGC) model provides expert-generated data and user-generated information for the indoor air purification network control system, the expert-generated data including outdoor and indoor air pollution data of a building, indoor space data of the building, clean room class data, hardware specifications of the air purification system, and software specifications of the air purification system, and the user-generated information including indoor space parameter data of the user's building, experimentally measured air pollution parameter data of the indoor space of the user's building, and air exchange rate parameter data of an air conditioning control system of the indoor space of the user's building, and the artificial intelligence generated content (AIGC) model receives the expert-generated data and the user-generated data and generates automatically-generated data through calculation, comparison, and identification, and the automatically-generated data includes an optimized number of air purification hardware, optimized performance control of the air purification hardware, optimized noise reduction control of the air purification hardware, minimized initial setup cost information of the air purification system, and minimized operation cost information of the air purification system.

12. The positive pressure control method for an indoor air purification network control system according to claim 1, wherein the clean room class is ZAPClean room 1-12 cleanliness.

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