Indoor air cleaning networking mechanism system

Abstract

An indoor air cleaning networking mechanism system comprises a plurality of gas detectors; at least one indoor air pollution treatment device; a networking cloud computing service device; the networking cloud computing service device receives air pollution information detected by the plurality of gas detectors, pressure detection information of carbon dioxide (CO2) and gas temperature and humidity information, and intelligently selects and sends a control instruction to start regulation and control operation of indoor air pollution treatment equipment according to intelligent computing and comparison of an air pollution big data database; ventilation of the indoor field domain is implemented, positive pressure air inlet is provided to prevent air pollution from entering the indoor field domain, the air pollution in the indoor field domain is drained, circulating air pollution purification in the indoor field domain tends to zero dust-free room treatment is carried out through filtration, temperature and humidity adjustment of the indoor field domain is implemented, and the cleanliness of the indoor field domain reaching the dust-free room grade is provided.

Description

Technical Field

[0001] This invention relates to an indoor air purification network mechanism system, specifically an indoor air purification network mechanism system for use in cleanroom treatment applications where air pollution detection and purification approaches zero in indoor spaces. Background Technology

[0002] Particulate matter refers to solid particles or droplets contained in gases. Due to their extremely small size, they can easily enter the lungs through the nasal hairs in the nasal cavity, causing lung inflammation, asthma, or cardiovascular disease. If other pollutants adhere to particulate matter, the harm to the respiratory system will be further aggravated. In recent years, air pollution problems have become increasingly serious, especially the concentration of fine particulate matter (such as PM2.5), which is often too high. Monitoring the concentration of particulate matter has become increasingly important. However, because gases flow unpredictably with wind direction and volume, and most current gas quality monitoring stations for detecting particulate matter are fixed-point, it is impossible to confirm the current concentration of particulate matter in the surrounding environment.

[0003] Furthermore, modern people are paying increasing attention to the quality of the air in their surroundings. For example, gases such as carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), PM2.5, nitrogen monoxide, and sulfur monoxide, as well as particulate matter contained within these gases, can all affect human health when exposed to the environment, and in severe cases, even endanger life. Therefore, the quality of environmental air quality has become a major concern for many countries, and how to monitor air quality to avoid or stay away from areas with poor air quality is a pressing issue.

[0004] Using a gas sensor to detect ambient gases is a feasible way to determine the quality of gases. If the sensor can provide real-time detection information to alert people in the environment, allowing them to take immediate precautions or escape, thus avoiding harm to their health, then using a gas sensor to detect the surrounding environment is an excellent application.

[0005] Furthermore, indoor air quality is not easy to control. Besides outdoor air quality, indoor air conditioning conditions and pollution sources are major factors affecting indoor air quality. A system that can intelligently and quickly detect indoor air pollution sources in various areas can effectively remove indoor pollutants, creating a clean and safe breathing environment, and can monitor indoor air quality anytime, anywhere. Of course, if indoor areas can be strictly controlled according to "clean room" standards to prevent the introduction, generation, and retention of particulate matter, and if temperature and humidity are controlled within the required range, the clean room requirements for a safe breathing environment can be met.

[0006] In view of this, the main research topic of this invention is how to detect indoor air quality in indoor spaces and how to solve the problem of air pollution, so that indoor spaces can achieve real-time detection and purification of air pollution to near zero cleanroom treatment, while providing ventilation to prevent outdoor air pollution from entering the indoor space, thus meeting the requirements of cleanrooms in indoor spaces and avoiding the health effects and harm caused by gas hazards in the environment. Summary of the Invention

[0007] The main objective of this invention is to provide an indoor air purification network mechanism system. This system utilizes multiple gas detectors to monitor air pollution, carbon dioxide (CO2) pressure, and gas temperature and humidity in both indoor and outdoor environments. At least one indoor air pollution treatment device includes at least one gas exchange device to provide ventilation and positive pressure intake to prevent air pollution from entering the indoor environment; at least one purification and filtration device to provide near-zero cleanroom treatment for the indoor environment; and at least one air conditioning device to regulate the temperature and humidity of the indoor environment. Each indoor air pollution treatment device includes at least one fan, at least one filter assembly, and at least one drive controller. A networked cloud computing service device receives air pollution, CO2 pressure, and gas temperature and humidity information from both indoor and outdoor environments via Internet of Things (IoT) communication. Based on the detected information, the system intelligently compares and selects the appropriate control command. An indoor air pollution treatment device is equipped with gas detectors connected to a cloud computing service to form an intelligent linkage system. This system allows for real-time intelligent control of the device's operation via the interconnected gas detectors in the indoor and outdoor areas. It monitors indoor air quality and adjusts temperature and humidity, controlling the flow of pollutants for purification and filtration. Simultaneously, the gas exchange device determines whether the carbon dioxide (CO2) difference between the indoor and outdoor areas has reached zero equilibrium, continuously providing positive pressure air into the indoor area for ventilation. This prevents outdoor air pollution from entering the indoor area. Once zero equilibrium is reached, the system adjusts the speed of the indoor air pollution treatment device's fan to reduce the airflow, effectively controlling energy efficiency and suppressing noise from the airflow. This achieves real-time detection and near-zero air pollution cleanroom treatment, reaching a cleanroom-level cleanliness.

[0008] To achieve the above objectives, the present invention provides an indoor air purification network mechanism system, comprising: multiple gas detectors deployed in an indoor area and an outdoor area to detect air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information; at least one indoor air pollution treatment device installed in the indoor area, internally configured with at least one of the gas detectors, and including at least one fan, at least one filter assembly, and at least one drive controller, wherein the gas detectors are electrically connected to the drive controller, and the device receives control commands via Internet of Things (IoT) communication to control the start-up of the fan. The indoor air pollution treatment device includes at least one gas exchange device to provide ventilation and positive pressure intake into the indoor area, at least one purification filter device to provide near-zero cleanroom treatment for air pollution in the indoor area, and at least one air conditioning device to provide temperature and humidity regulation for the indoor area; and a networked cloud computing service device, including a wireless network cloud computing service module, a cloud control service unit, a device management unit, an application unit, and a generative artificial intelligence (AI) module. The IGC (Internet Genetic Control Center) model involves a networked cloud computing service device that receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from both indoor and outdoor environments via Internet of Things (IoT) communication. This data is stored to form an air pollution big data database. The device intelligently compares and selects data based on the detected air pollution information, CO2 pressure detection information, and gas temperature and humidity information to issue a control command. Specifically, the networked cloud computing service device receives air pollution information and CO2 pressure detection information from multiple gas detectors. The system uses the gas temperature and humidity information, and intelligently selects and sends control commands to the indoor air pollution treatment equipment to start the fan control operation based on the intelligent calculation and comparison of the air pollution big data database. The gas exchange device implements air exchange in the indoor area and provides positive pressure air intake to prevent air pollution from entering the indoor area. The purification and filtration device guides the air pollution in the indoor area through the filter components to circulate and purify the air pollution in the indoor area to achieve a cleanroom level. The air conditioning device implements temperature and humidity regulation in the indoor area to provide the indoor area with a cleanliness level of cleanroom. Attached Figure Description

[0009] Figure 1A This diagram illustrates an example of the indoor air purification network mechanism system of the present invention in an indoor setting.

[0010] Figure 1B This is a schematic diagram of the gas exchange device of the indoor air pollution treatment equipment of the present invention.

[0011] Figure 1C This is a schematic diagram of the fan filter unit (FFU) of the indoor air pollution treatment equipment of the present invention.

[0012] Figure 1DThis is a schematic diagram of the air purifier in the indoor air pollution treatment equipment of the present invention.

[0013] Figure 1E For the present invention Figure 1A , Figure 1B A cross-sectional schematic diagram of the air purifier in the indoor air pollution treatment equipment.

[0014] Figure 1F For the present invention Figure 1A , Figure 1B A cross-sectional schematic diagram of the dehumidifier in the indoor air pollution treatment equipment.

[0015] Figure 1G For the present invention Figure 1A , Figure 1B A cross-sectional schematic diagram of the vacuum cleaner in the indoor air pollution treatment equipment.

[0016] Figure 1H This is a schematic diagram of the process by which the gas exchange device of the present invention controls positive pressure intake when it compares the pressure difference of carbon dioxide (CO2) in the indoor and outdoor fields with the networked cloud computing service device to determine whether it has reached zero equilibrium.

[0017] Figure 2 This is a schematic diagram showing the assembly relationship of the filter components in the indoor air pollution treatment equipment of the present invention.

[0018] Figure 3A This is a three-dimensional schematic diagram of the gas detector of the present invention.

[0019] Figure 3B This is a three-dimensional schematic diagram of the gas detector of the present invention from another angle.

[0020] Figure 3C This is a schematic diagram of the gas detection module inside the gas detector of the present invention.

[0021] Figure 4A This is a three-dimensional assembly diagram of the gas detection main body of the present invention (I).

[0022] Figure 4B This is a three-dimensional assembly diagram (II) of the gas detection main body of the present invention.

[0023] Figure 4C This is a three-dimensional exploded view of the gas detector of the present invention.

[0024] Figure 5A This is a three-dimensional schematic diagram (I) of the base of the present invention.

[0025] Figure 5B This is a three-dimensional schematic diagram (II) of the base of the present invention.

[0026] Figure 6 This is a three-dimensional schematic diagram (III) of the base of the present invention.

[0027] Figure 7A This is a three-dimensional schematic diagram showing the disassembled piezoelectric actuator and base of the present invention.

[0028] Figure 7B This is a three-dimensional schematic diagram of the piezoelectric actuator and base assembly of the present invention.

[0029] Figure 8A This is a three-dimensional exploded view (I) of the piezoelectric actuator of the present invention.

[0030] Figure 8B This is a three-dimensional exploded view (II) of the piezoelectric actuator of the present invention.

[0031] Figure 9A This is a cross-sectional schematic diagram of the piezoelectric actuator of the present invention (I).

[0032] Figure 9B This is a cross-sectional schematic diagram (II) of the piezoelectric actuator of the present invention.

[0033] Figure 9C This is a cross-sectional schematic diagram of the piezoelectric actuator of the present invention (III).

[0034] Figure 10A A cross-sectional view of the gas detection unit assembly (I).

[0035] Figure 10B This is a cross-sectional view (II) of the gas detection unit assembly.

[0036] Figure 10C This is a cross-sectional view of the gas detection unit assembly (III).

[0037] Figure 11 This is a schematic diagram of the gas detector transmission of the present invention.

[0038] Figure 12A This is a schematic diagram of the architecture of the networked cloud computing service device of the present invention.

[0039] Figure 12B This is an architecture diagram of the generative artificial intelligence (AIGC) model of the present invention.

[0040] Figure 13 This is an equivalent comparison table of the clean air delivery rate (CADR) required per cubic meter for cleanroom classes ZAPClean room 1 to 12 of this invention.

[0041] [Symbol Explanation]

[0042] A: Indoor space

[0043] B: Outdoor areas

[0044] C1: Air intake port

[0045] C2: Exhaust port

[0046] H: Cooking utensils

[0047] 1: Gas detector

[0048] 11: Control circuit board

[0049] 12: Gas detection main body

[0050] 121: Base

[0051] 1211: First Surface

[0052] 1212: Second Surface

[0053] 1213: Laser Setting Area

[0054] 1214: Intake Groove

[0055] 1214a: Air intake port

[0056] 1214b: Light-transmitting window

[0057] 1215: Air guide assembly bearing area

[0058] 1215a: Vent hole

[0059] 1215b: Positioning bump

[0060] 1216: Vent groove

[0061] 1216a: Vent

[0062] 1216b: First interval

[0063] 1216c: Second interval

[0064] 122: Piezoelectric actuator

[0065] 1221: Jet nozzle plate

[0066] 1221a: Suspension tablet

[0067] 1221b: Hollow cavity

[0068] 1221c: Gap

[0069] 1222: Cavity Frame

[0070] 1223: Actuator

[0071] 1223a: Piezoelectric carrier plate

[0072] 1223b: Adjusting the resonant plate

[0073] 1223c: Piezoelectric plate

[0074] 1223d: Piezoelectric pin

[0075] 1224: Insulation Frame

[0076] 1225: Conductive framework

[0077] 1225a: Conductive pin

[0078] 1225b: Conductive electrode

[0079] 1226: Resonance Chamber

[0080] 1227: Airflow Chamber

[0081] 123: Driver circuit board

[0082] 124: Laser Components

[0083] 125: Particle Sensor

[0084] 126: Outer cover

[0085] 1261: Side panel

[0086] 1261a: Air intake frame

[0087] 1261b: Air vent

[0088] 127: Gas Sensor

[0089] 13: Microprocessor

[0090] 14: Communicator

[0091] 2: Indoor air pollution treatment equipment

[0092] 2a: Gas exchange device

[0093] 2b: Purification and filtration device

[0094] 2b1: Air purifier

[0095] 2b2: Fan Filter Unit (FFU)

[0096] 2b3: Exhaust system

[0097] 2b4: Smoke Exhaust System

[0098] 2b4a: Exhaust passage

[0099] 2b4b: Main body for exhausting cooking fumes

[0100] 2b5: Dehumidifier

[0101] 2b6: Vacuum cleaner

[0102] 2c: Air conditioning unit

[0103] 21: Air guide fan

[0104] 22: Filtering Components

[0105] 22a: Activated carbon

[0106] 22b: Cleaning agent of chlorine dioxide

[0107] 22c: Herbal protective layer of ginkgo and sumac.

[0108] 22d: Silver ion

[0109] 22e: Zeolite

[0110] 22f: Photocatalyst

[0111] 22g: Ultraviolet lamp

[0112] 22h: Nanotube

[0113] 22i: Negative ion unit

[0114] 22j: Plasma Ion Unit

[0115] 23: Drive Controller

[0116] 24: Flow diversion channel

[0117] 24a: Air intake port

[0118] 24b: Recirculating air inlet

[0119] 24c: Filtered air duct

[0120] 25: Gas exchange fan

[0121] 26: Cooling / Heat Exchanger

[0122] 3: Networked cloud computing service device

[0123] 31: Wireless Network Cloud Computing Service Module

[0124] 32: Cloud Control Service Unit

[0125] 33: Device Management Unit

[0126] 34: Application Unit

[0127] 35: Generative Artificial Intelligence (AIGC) Model Detailed Implementation

[0128] Embodiments embodying the features and advantages of the present invention will be described in detail in the following description. It should be understood that the present invention can be varied in different forms without departing from the scope of the invention, and the descriptions and drawings herein are for illustrative purposes only and not for limiting the invention.

[0129] like Figure 1A As shown, this invention is an indoor air purification network mechanism system, comprising: multiple gas detectors 1 deployed in an indoor area A and an outdoor area B to detect air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information; the gas detectors 1 output the air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information via Internet of Things (IoT) communication; at least one indoor air pollution treatment device 2, installed in the indoor area A, internally configured with at least one gas detector 1, and including at least one fan 21, at least one filter assembly 22, and at least one drive controller 2. 3. The gas detector 1 is electrically connected to the drive controller 23 and receives control commands via IoT communication to control the start-up of the fan 21. The indoor air pollution treatment equipment 2 includes at least one gas exchange device 2a to provide ventilation for indoor area A and provide positive pressure air intake to prevent air pollution from entering indoor area A; at least one purification filter device 2b to provide air pollution purification and near-zero cleanroom treatment for indoor area A; and at least one air conditioning device 2c to provide temperature and humidity regulation for indoor area A. The networked cloud computing service device 3 includes a wireless network cloud computing service module 31 and a… The cloud control service unit 32, a device management unit 33, an application unit 34, and a generative artificial intelligence (AIGC) model 35 are included. The networked cloud computing service device 3 receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from indoor area A and outdoor area B through Internet of Things communication, stores them to form an air pollution big data database, and intelligently compares and selects control commands based on the detected air pollution information, the carbon dioxide (CO2) pressure detection information, and the gas temperature and humidity information. Among them, the networked cloud computing service device 3 receives air pollution information detected by multiple gas detectors 1. The system detects carbon dioxide (CO2) pressure and gas temperature and humidity information, and intelligently selects and sends control commands to the indoor air pollution treatment equipment 2's fan 21 to start the control operation based on intelligent calculation and comparison of the air pollution big data database. The gas exchange device 2a implements air exchange in indoor area A and provides positive pressure air intake to prevent air pollution from entering indoor area A. The purification and filtration device 2b implements the internal circulation of air pollution in indoor area A through the filter component 22 to purify the air pollution in indoor area A and achieve a cleanroom level. The air conditioning device 2c implements temperature and humidity regulation in indoor area A to provide indoor area A with a cleanliness level of cleanroom.

[0130] It is worth noting that the gas detector 1 described above is equipped with a gas detection module. Please refer to [link / reference]. Figure 3A and Figure 3B As shown, the gas detector 1 can be configured with an external power supply terminal. By directly plugging the external power supply terminal into the power interface within the indoor area A, it can be activated to detect air pollution, carbon dioxide (CO2) pressure, and gas temperature and humidity information, or as... Figure 3C The gas detection module shown does not have an external power supply terminal. It is directly connected to the indoor air pollution treatment equipment 2 and receives a control command to control the power supply of the indoor air pollution treatment equipment 2 to start operation. The air pollution mentioned above refers to one or a combination of particulate matter, carbon monoxide, carbon dioxide, ozone, sulfur dioxide, nitrogen dioxide, lead, total volatile organic compounds, formaldehyde, bacteria, fungi, and viruses.

[0131] It is worth noting that the aforementioned Internet of Things (IoT) communication refers to a collective network connecting various devices and a technology that facilitates communication between devices and the cloud, as well as between devices themselves. This IoT communication can be a wired communication, allowing connection to a networked cloud computing service device via a wired line. Alternatively, it can be a wireless communication, allowing communication with the networked cloud computing service device 3 via a wireless connection. This wireless communication can be one of a Wi-Fi module, a Bluetooth module, a radio frequency identification (RFID) module, or a near-field communication (NFC) module.

[0132] It is worth noting that, such as Figure 1A As shown, the indoor air pollution treatment equipment 2 is installed in indoor area A. Each indoor air pollution treatment equipment includes a blower 21, a filter assembly 22, and a drive controller 23, and is equipped with at least one gas detector 1. The gas detector 1 is electrically connected to the drive controller 23 and receives control commands from the networked cloud computing service device 3 via Internet of Things communication to control the start-up and operation of the blower 21. The indoor air pollution treatment equipment includes at least one gas exchange device 2a to provide ventilation for indoor area A and provide positive pressure air intake to prevent air pollution from entering indoor area A, and at least one purification filter device 2b to provide ventilation for indoor area A. The air pollution purification near-zero cleanroom treatment of A and at least one air conditioning unit 2c provide temperature and humidity regulation for indoor area A. The purification and filtration 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 exhaust system 2b4, at least one dehumidifier 2b5, and at least one portable vacuum cleaner 2b6. The indoor air pollution treatment equipment 2 is equipped with a gas detector 1 that is electrically connected to the drive controller 23. It receives a control command through Internet of Things communication and sends it to the drive controller 23 to control the start-up and operation of the air duct fan 21 to achieve near-zero air pollution purification in indoor area A.

[0133] like Figure 1A , Figure 1B As shown, the aforementioned indoor area A is provided with at least one air intake C1 and at least one exhaust port C2. The gas exchange device 2a includes a flow channel 24, which has an air intake port 24a corresponding to the air intake port C1 of the indoor area A, a recirculation return air port 24b connecting to the indoor area A, and a filter duct 24c connecting to the indoor area A. The recirculation return air port 24b is provided with a gas exchange fan 25, and the filter duct 24c is provided with a guide fan 21 and a filter assembly 22. The networked cloud computing service device 3 intelligently calculates and compares the air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information of the indoor area A and the outdoor area B. When the networked cloud computing service device 3 passes through the material The network communication receives detection information from the gas exchange device 2a and compares it with the pressure difference of carbon dioxide (CO2) between indoor area A and outdoor area B to see if it reaches zero equilibrium. If it has not reached zero equilibrium, a control command is sent to the gas detector 1 of the gas exchange device 2a to control the drive controller 23 to start the operation of the guide fan 21. Gas from outdoor area B is introduced into the filter duct 24c through the air inlet C1 and filtered by the filter assembly 22 before entering indoor area A. Simultaneously, the gas in indoor area A recirculates and returns to the filter duct 24c through the return air inlet 24b, undergoing filtration and temperature adjustment to achieve ventilation. This ventilation process aims to achieve a near-zero equilibrium between the carbon dioxide (CO2) pressure difference between indoor area A and outdoor area B. It is important to note that when the gas exchange device 2a starts operating to perform ventilation, the space in indoor area A must maintain a positive pressure above 0 Pa to prevent air pollution from outdoor area B from entering indoor area A. The gas exchange device 2a may be a fresh air unit, or a total heat exchanger, or a heating, ventilation and air conditioning (HVAC) unit, but is not limited thereto.

[0134] like Figure 1A As shown, Figure 1D and Figure 1E As shown, the air purifier 2b1 is placed in the indoor space A. The networked cloud computing service device 3 sends control commands to the gas detector 1 inside the air purifier 2b1 via IoT communication. The control drive controller 23 controls the start-up of the fan 21 to draw air pollutants from the indoor space A into the filter assembly 22 for filtration and purification. The purified air is then introduced into the indoor space A, causing the air pollutants in the indoor space A to be drawn in multiple times and enter the filter assembly 22 for air purification and cleanroom treatment to approach zero pollution.

[0135] like Figure 1A As shown and Figure 1CAs shown, the aforementioned fan filter unit (FFU) 2b2 is built-in in indoor area A. The fan filter unit (FFU) 2b2 includes a guide channel 24, which has a recirculation return air inlet 24b connecting to indoor area A and a filter duct 24c connecting to indoor area A. The filter duct 24c is equipped with a fan 21 and a filter assembly 22. The networked cloud computing service device 3 sends control commands to the gas detector 1 inside the fan filter unit (FFU) 2b2 via Internet of Things communication. The controller 23 receives the commands and controls the start-up of the fan 21 to draw air pollution from indoor area A into the guide channel 24 through the recirculation return air inlet 24b and through the filter duct 24c. The air is then filtered and purified by the filter assembly 22 before being introduced into the space of indoor area A. This causes the air pollution in the space of indoor area A to be drawn multiple times through the guide channel 24, effectively suppressing the gas backflow effect of the recirculation filtration and achieving air pollution purification to near zero cleanroom treatment.

[0136] like Figure 1A As shown, the exhaust device 2b3 is built-in in the indoor area A and corresponds to the exhaust port C2 to guide the airflow to the outdoor area B. The networked cloud computing service device 3 sends control commands to the gas detector 1 inside the exhaust device 2b3 via IoT communication. The controller 23 controls the start-up of the guide fan 21 to guide the air pollution in the indoor area A into the air. The guide fan 21 guides the air pollution to be filtered and purified by the filter component 22 and discharged to the outdoor area B, thus achieving the goal of purifying the air pollution in the indoor area A into a near-zero cleanroom.

[0137] Also, such as Figure 1AWhen cooking food in the kitchen environment of indoor space A, serious air pollution is generated rapidly. To avoid the air pollution in indoor space A from affecting human health and causing harm, the indoor air pollution treatment device 2 of the indoor air purification network mechanism system can be set as a range hood system 2b4, which is set in the kitchen location of indoor space A. The range hood system 2b4 includes an exhaust duct 2b4a, which corresponds to an exhaust port C2 connecting to the outdoor space B, and is located above the cooking appliance H. The exhaust duct 2b4a is equipped with a fan 21, a filter assembly 22, and a drive controller 23. The range hood system 2b4 includes a fume exhaust body 2b4b, which corresponds to an exhaust port C2 connecting to the outdoor space B, and is located above the cooking appliance H. At the front of H, a fan 21, a filter assembly 22, and a drive controller 23 are installed in the main exhaust unit 2b4b. A gas detector 1 is installed in both the exhaust duct 2b4a and the main exhaust unit 2b4b, and is electrically connected to the drive controller 23. The networked cloud computing service device 3 sends control commands to the gas detectors 1 inside the exhaust duct 2b4a and the main exhaust unit 2b4b via IoT communication. The drive controller 23 is then activated to start the fan 21, so that the air pollution in the kitchen area of ​​indoor space A is drawn into the exhaust duct 2b4a and the main exhaust unit 2b4b, filtered and purified by the filter assembly 22, and then discharged to outdoor space B for near-zero air pollution cleanroom treatment.

[0138] like Figure 1A As shown, the dehumidifier 2b5 is plug-in placed in the indoor space A. The networked cloud computing service device 3 sends control commands via IoT communication to the gas detector 1 inside the dehumidifier 2b5, which in turn controls the controller 23 to start the fan 21. This draws air pollutants from the indoor space A, which are then purified by the filter assembly 22 to achieve near-zero air pollution, and the dehumidifier also regulates the temperature and humidity within the indoor space A. Notably, the dehumidifier 2b5 maintains the temperature and humidity settings at a safe level of 25℃ ± 3℃ and 50% ± 10%.

[0139] like Figure 1A , Figure 1G As shown, the aforementioned portable vacuum cleaner 2b6 is plug-in positioned within the indoor space A. The networked cloud computing service device 3 sends control commands via IoT communication to the gas detector 1 inside the portable vacuum cleaner 2b6, which in turn controls the controller 23 to activate the fan 21. This draws air from the indoor space A into the filter assembly 22, purifying the air and creating a near-zero dust-free environment. It is noteworthy that the portable vacuum cleaner 2b6 is a robotic vacuum cleaner.

[0140] like Figure 1AAs shown, the aforementioned air conditioning unit 2c is installed in indoor area A. Air conditioning unit 2c includes a heat exchanger 26. The networked cloud computing service unit 3 sends control commands via IoT communication to the gas detector 1 inside air conditioning unit 2c. The controller 23 then controls the start-up of the fan 21, directing gas through the heat exchanger 26 to regulate the temperature and humidity of the air in indoor area A. The gas detector 1 also transmits the temperature and humidity information of the air in indoor area A to the outside world. It is noteworthy that air conditioning unit 2c maintains the temperature in indoor area A at 25℃±3℃ and the humidity at 50%±10%.

[0141] As can be seen from the above description, in the specific implementation of the indoor air purification network mechanism system of the present invention, the network cloud computing service device 3 receives the pressure detection information of carbon dioxide (CO2) in indoor area A and outdoor area B from the internal gas detector 1 of the gas exchange device 2a, the gas detector 1 deployed in indoor area A, and the gas detector 1 deployed in outdoor area B through Internet of Things communication. Based on the pressure information of the detected carbon dioxide (CO2), it intelligently compares the pressure difference of carbon dioxide (CO2) in indoor area A and outdoor area B, and performs the ventilation operation in indoor area A. For example... Figure 1HThe networked cloud computing service device 3 receives detection information from the gas exchange device 2a via IoT communication and compares the pressure difference of carbon dioxide (CO2) between indoor area A and outdoor area B to see if it has reached zero equilibrium. If it has not reached zero equilibrium, it sends a control command to the gas detector 1 of the gas exchange device 2a, which in turn controls the drive controller 23 to start the duct fan 21, continuously providing positive pressure air into indoor area A to perform ventilation operation in indoor area A, preventing air pollution from outdoor area B from entering indoor area A. When zero equilibrium is reached, it sends a control command to the gas detector 1 of the gas exchange device 2a, which in turn controls the drive controller 23 to stop and start the duct fan 21. In this indoor air purification network mechanism system, when the gas exchange device 2a starts operating to perform ventilation, the space in indoor area A must maintain a positive pressure of above 0 Pa to prevent air pollution from outdoor area B from entering. In indoor area A, the gas detector 1 inside the purification and filtration device 2b and the air conditioning device 2c continuously receives control commands from the networked cloud computing service device 3, which in turn controls the drive controller 23 to start the operation of the duct fan 21. This continuously provides air to indoor area A for internal circulation purification and near-zero cleanroom treatment, as well as temperature and humidity regulation. When the networked cloud computing service device 3 compares the carbon dioxide (CO2) pressure difference between indoor area A and outdoor area B and finds that it has reached zero equilibrium, the networked cloud computing service device 3 sends control commands to the gas detector 1 inside the purification and filtration device 2b and the air conditioning device 2c. These commands then control the drive controller 23 to adjust the speed of the duct fan 21 to reduce the airflow, effectively controlling the energy efficiency of the equipment operation and effectively suppressing the noise generated by the airflow. This achieves real-time detection of air pollution and near-zero cleanroom treatment, reaching the cleanliness level of a cleanroom.

[0142] For example Figure 12A and Figure 12B As shown, the aforementioned networked 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 a generative artificial intelligence (AIGC) model 35. The wireless network cloud computing service module 31 receives indoor air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from outdoor area B and indoor area A. Figure 1AThe system receives communication information from the indoor air pollution treatment device 2 and transmits control commands. The wireless network cloud computing service module 31 receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from indoor area A and outdoor area B, and transmits them to the cloud control service unit 32 for storage, forming an air pollution big data database. It then performs intelligent calculations and compares the data with the air pollution database, and sends control commands to the wireless network cloud computing service module 31. These commands are then transmitted through the wireless network cloud computing service module 31 to the indoor air pollution treatment device for control startup. The device management unit 33 then... The wireless network cloud computing service module 31 receives communication information from the indoor air pollution treatment equipment 2 for user login management and device binding management. It also provides maintenance and management of the indoor air pollution treatment equipment 2, automated anomaly detection, analysis, processing and improvement, control and inspection measurements to ensure compliance with cleanroom cleanliness requirements, customer feedback, and hardware / software technology improvement correction mechanisms. This management information is provided to the application unit for system control and management. The application unit 34 also displays and notifies users of the air pollution information (carbon dioxide (CO2) pressure detection information and gas temperature and humidity information) obtained from the cloud control service unit 32, allowing users to understand the real-time status of air pollution removal via mobile phone or communication device. Users can also control the operation of the indoor air purification network mechanism system via the application unit 34 on their mobile phone or communication device. The generative artificial intelligence (AIGC) model 35 provides professionally generated data for the indoor air purification network mechanism system, including outdoor and indoor air pollution data, indoor area data, cleanroom class data, air purification system hardware specifications, air purification system software specifications, and user-generated data for the indoor air purification network mechanism system. The generated data includes indoor field parameters of the user's building, experimentally measured air pollution parameters of the user's building, and HVAC ventilation rate parameters of the user's building. The Generative Artificial Intelligence (AIGC) model 35 calculates, compares, and identifies the input of professionally generated data and user-generated data to produce automatically generated data. This automatically generated data includes the optimized quantity of air purification hardware, optimized performance control of air purification hardware, optimized noise reduction control of air purification hardware, minimum initial setup cost information for the air purification system, and minimum operating cost information for the air purification system. It is noteworthy that the professionally generated data specifies the following requirements for building materials: low dust generation, low emissions, non-permeable surfaces, anti-static properties, seamless and rounded corner designs, airtight configurations, and positive pressure environments. The data also specifies the following requirements for furniture: seamless structural designs, smooth surfaces, anti-static properties, corrosion resistance, and antibacterial materials. Finally, the data specifies the following requirements for lighting: dust-free lighting fixtures.

[0143] As described above, the indoor air purification network mechanism system of the present invention specifically realizes real-time detection of air pollution purification and near-zero cleanroom treatment to achieve a cleanroom-level cleanliness, as well as the required Clean Air Delivery Rate (CADR) equivalent in the indoor space A. After being determined by the generative artificial intelligence (AIGC) model 35 of the networked cloud computing service device 3 through intelligent (AI) calculation, the number of indoor air pollution treatment devices 2 and the optimal clean air delivery rate (CADR) of the duct fan 21 can be determined according to the required equivalent of the clean air delivery rate (CADR), thereby realizing real-time detection of air pollution purification and near-zero cleanroom treatment, and achieving optimal cost setting and operational benefits for near-zero cleanroom treatment.

[0144] like Figure 13 As shown, the cleanroom level required for indoor area A in this invention is ZAPClean room 1-12. Therefore, after the indoor air cleanroom network mechanism system determines the required equivalent of Clean Air Delivery Rate (CADR) in indoor area A through generative artificial intelligence (AIGC) model 35, the number of indoor air pollution treatment devices 2 and the optimal CADR of the duct fan 21 can be determined based on the required equivalent of CADR. This allows for real-time monitoring of the air quality in indoor area A, achieving cost optimization and operational efficiency for near-zero cleanroom treatment. It is worth noting that the required equivalent of CADR refers to the amount of clean air delivery rate (CADR) required by the duct fan 21 to achieve near-zero air pollution in indoor area A at that time.

[0145] The following is an example illustrating a preferred embodiment of the clean air delivery rate (CADR) requirement equivalent in the indoor space A of this invention:

[0146] This indoor air purification network system, by simply inputting the region of indoor area A, can calculate the required Clean Air Delivery Rate (CADR) equivalent for the space in indoor area A. For example, if the region of the indoor area is Taipei, and a 3-ping (approximately 13.3 square meters) space requires a ZAPClean room level 9 cleanliness, what is the required CADR equivalent?

[0147] The indoor air purification network mechanism system of this invention can rely on the big data database of the air pollution control system B, such as... Figure 13 The equivalent comparison table of clean air delivery rate (CADR) required per cubic meter for cleanroom classes ZAPClean room 1 to 12 is used for intelligent calculation and analysis.

[0148] The equivalent clean air delivery rate (CADR) per cubic meter required for cleanroom classes ZAPClean room 1 to 12 according to this invention is as follows:

[0149] The required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 1 is equivalent to 195,000–370,000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 2 cleanroom is equivalent to 58,000–115,000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 3 cleanroom is equivalent to 17,500–35,000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 4 cleanroom is equivalent to 5200–10000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 5 cleanroom is equivalent to 1500–3000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 6 cleanroom is equivalent to 450–1000 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 7 cleanroom is equivalent to 135–300 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 8 is equivalent to 60–135 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 9 cleanroom is equivalent to 35–80 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for a ZAP Clean room 10 cleanroom is equivalent to 15–40 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for ZAP Clean room 11 is equivalent to 10–30 m³. 3 / h range; the required clean air delivery rate (CADR) per cubic meter for ZAP Cleanroom 12 is equivalent to 3–10 m³. 3 / h range.

[0150] As shown above, when the input location of indoor space A is Taipei and the required space volume is given, the generative artificial intelligence (AIGC) model 35 of the networked cloud computing service device 3 can intelligently calculate the required equivalent Clean Air Delivery Rate (CADR) for performing near-zero cleanroom treatment. Calculations show that the maximum PM2.5 level in Taipei over five years is 37, and the average is 11.9. The average of 11.9 falls within the 10-15 range, and the ratio of the maximum value (37) to the average (11.9) is 3.1, falling within the 3-4 range of the 10-15 range. This requires a ZAPClean room level 9 cleanliness. Therefore, the required equivalent Clean Air Delivery Rate (CADR) per cubic meter for a ZAPClean room level 9 cleanliness in this indoor space is 56.26 m³. 3 / h. The required indoor space is 30 ping (268m²). 3 ) multiplied by 56.26m 3 Therefore, the equivalent of the clean air delivery rate (CADR) required for this indoor space is 15078 m³ / h. 3 / h. Therefore, the required clean air delivery rate (CADR) of the indoor air pollution treatment equipment 2 for near-zero cleanroom treatment is taken as 15000m³. 3 / h, therefore, the indoor air pollution treatment equipment 2 of the present invention is matched with three gas exchange devices 2a and the fan 21 is set with the optimal clean air delivery rate (CADR) of 1000m³ / h. 3 The optimal Clean Air Delivery Rate (CADR) of the 21st generation fan, equipped with 15 fan-filter units (FFU) 2b2, is 800m³ / h. 3 / h, the required clean air delivery rate (CADR) of the indoor air pollution treatment equipment 2 to achieve near-zero cleanroom treatment of air pollution is equivalent to 15000m³ / h. 3 / h, but not limited to this. Of course, the equivalent of a clean air delivery rate (CADR) required in the indoor space A can be determined by the required equivalent of the clean air delivery rate (CADR) to determine the number of indoor air pollution treatment equipment 2 and the optimal clean air delivery rate (CADR) of the indoor air pollution treatment equipment 2's guide fan 21, so as to realize the real-time detection of air pollution purification and the near-zero cleanroom treatment, achieve the cleanliness level of the cleanroom, and optimize the cost-effectiveness of the near-zero cleanroom treatment.

[0151] To understand the specific implementation of the indoor air purification network mechanism system provided by this invention, the following is a detailed description of the gas detection module structure of the gas detector 1 of this invention. Please refer to [link / reference]. Figures 3A to 11As shown, the gas detection module includes: a control circuit board 11, a gas detection body 12, a microprocessor 13, and a communicator 14. The gas detection body 12, microprocessor 13, and communicator 14 are integrated into the control circuit board 11 and electrically connected to each other. The microprocessor 13 and communicator 14 are mounted on the control circuit board 11. The microprocessor 13 controls the drive signal of the gas detection body 12 to initiate detection operation. The gas detection body 12 detects air pollution and outputs detection information, which is processed by the microprocessor 13 and provided to the communicator 14 for transmission to a networked cloud computing service device 3 via Internet of Things (IoT) communication.

[0152] Please see again Figures 4A to 9AAs shown, the gas detection body 12 includes a base 121, a piezoelectric actuator 122, a drive circuit board 123, a laser assembly 124, a particle sensor 125, and an outer cover 126. The base 121 has a first surface 1211, a second surface 1212, a laser setting area 1213, an air inlet groove 1214, a gas guide assembly bearing area 1215, and an air outlet groove 1216. The first surface 1211 and the second surface 1212 are two surfaces arranged opposite to each other. The laser setting area 1213 is formed by hollowing out from the first surface 1211 towards the second surface 1212. The outer cover 126 covers the base 121 and has a side plate 1261, which has an air inlet frame 1261a and an air outlet frame 1261b. The air intake groove 1214 is formed by a recess in the second surface 1212 and is adjacent to the laser setting area 1213. The air intake groove 1214 has an air intake port 1214a, which connects to the outside of the base 121 and corresponds to the air outlet port 1216a of the outer cover 126. The two side walls of the air intake groove 1214 penetrate through the light-transmitting window 1214b of the piezoelectric actuator 122 and communicate with the laser setting 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, so that the air intake groove 1214 defines an air intake path. The air guide component bearing area 1215 is formed by a recess in the second surface 1212 and connects to the air inlet groove 1214. A vent 1215a extends through the bottom surface, and each of the four corners of the air guide component bearing area 1215 has a positioning protrusion 1215b. The aforementioned air outlet groove 1216 is provided with an air outlet 1216a, which corresponds to the air outlet frame opening 1261b of the outer cover 126. The venting groove 1216 includes a first section 1216b formed by the recess of the first surface 1211 into the vertical projection area of ​​the air guide component support area 1215, and a second section 1216c formed by hollowing out from the first surface 1211 to the second surface 1212. The first section 1216b and the second section 1216c are connected to form a step, and the first section 1216b of the venting groove 1216 communicates with the vent hole 1215a of the air guide component support area 1215, and the second section 1216c of the venting groove 1216 communicates with the vent outlet 1216a. Therefore, when 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, the venting groove 1216 and the drive circuit board 123 together define an venting path.

[0153] The aforementioned laser component 124 and particle sensor 125 are both mounted on the drive circuit board 123 and located within the base 121. To clearly illustrate the positions of the laser component 124 and particle sensor 125 relative to the base 121, the drive circuit board 123 is deliberately omitted. The laser component 124 is housed within the laser setting area 1213 of the base 121, and the particle sensor 125 is housed within the air intake groove 1214 of the base 121 and aligned with the laser component 124. Furthermore, the laser component 124 corresponds to the light-transmitting window 1214b, through which the laser light emitted by the laser component 124 passes, illuminating the air intake groove 1214. The beam path emitted by the laser component 124 passes through the light-transmitting window 1214b and forms an orthogonal direction with the air intake groove 1214. The laser assembly 124 emits a beam that enters the air intake groove 1214 through the light transmission window 1214b. The detection data in the gas in the air intake groove 1214 is illuminated. When the beam comes into contact with the gas, it scatters and generates a projected light spot, which positions the particle sensor 125 in its orthogonal direction and receives the projected light spot generated by the scattering to perform calculations to obtain the gas detection data.

[0154] The piezoelectric actuator 122 is housed in the square gas guide assembly support area 1215 of the base 121. Furthermore, the gas guide assembly support area 1215 communicates with the inlet groove 1214. When the piezoelectric actuator 122 is actuated, gas is drawn from the inlet groove 1214 into the piezoelectric actuator 122, and the gas is then supplied through the vent hole 1215a of the gas guide assembly support area 1215 into the outlet groove 1216. Additionally, the drive circuit board 123 is encapsulated on the second surface 1212 of the base 121. The laser assembly 124 is disposed on the drive circuit board 123 and electrically connected. The particle sensor 125 is also disposed on the drive circuit board 123 and electrically connected. When the outer cover 126 covers the base 121, the air outlet 1216a corresponds to the air inlet 1214a of the base 121, and the air outlet frame 1261b corresponds to the air outlet 1216a of the base 121.

[0155] The piezoelectric actuator 122 includes an air jet plate 1221, a cavity frame 1222, an actuator 1223, an insulating frame 1224, and a conductive frame 1225. The air jet plate 1221 is made of a flexible material and has a suspension plate 1221a and a hollow hole 1221b. The suspension plate 1221a is a sheet-like structure that bends and vibrates, and its shape and size correspond to the inner edge of the air-guiding component bearing area 1215. The hollow hole 1221b penetrates the center of the suspension plate 1221a to allow gas flow. In a preferred embodiment of the invention, the shape of the suspension plate 1221a can be square, graphic, elliptical, triangular, or polygonal.

[0156] The aforementioned cavity frame 1222 is stacked on the jet orifice plate 1221, and its appearance corresponds to that of the jet orifice plate 1221. An actuator 1223 is stacked on the cavity frame 1222, defining a resonant chamber 1226 between itself, the jet orifice plate 1221, and the suspension plate 1221a. An insulating frame 1224 is stacked on the actuator 1223, and its appearance is similar to that of the cavity frame 1222. A 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 extending outward from the outer edge of the conductive pin 1225a, and the conductive electrode 1225b extending inward from the inner edge of the conductive frame 1225. Furthermore, the actuator 1223 also includes a piezoelectric carrier plate 1223a, an adjusting resonant plate 1223b, and a piezoelectric plate 1223c. In this embodiment, a piezoelectric carrier plate 1223a is stacked on the cavity frame 1222. An adjustment resonance plate 1223b is stacked on the piezoelectric carrier plate 1223a. A piezoelectric plate 1223c is stacked on the adjustment resonance plate 1223b. The adjustment resonance plate 1223b and the piezoelectric plate 1223c are housed within an insulating frame 1224. The piezoelectric plate 1223c is electrically connected to the conductive plate 1223b by a conductive electrode 1225b of a conductive frame 1225. In a preferred embodiment of the present invention, both the piezoelectric carrier plate 1223a and the adjustment resonance plate 1223b are made of conductive materials. The piezoelectric carrier plate 1223a has a piezoelectric pin 1223d, which is connected to the drive circuit (not shown) on the drive circuit board 123 via a conductive pin 1225a to receive drive signals (which may be drive frequency and drive voltage). The drive signal forms a circuit through the piezoelectric pin 1223d, the piezoelectric carrier plate 1223a, the adjusting resonant plate 1223b, the piezoelectric plate 1223c, the conductive electrode 1225b, the conductive frame 1225, and the conductive pin 1225a. An insulating frame 1224 isolates the conductive frame 1225 from the actuator 1223 to prevent short circuits, allowing the drive signal to be transmitted to the piezoelectric plate 1223c. After receiving the drive signal, the piezoelectric plate 1223c deforms due to the piezoelectric effect, further driving the piezoelectric carrier plate 1223a and the adjusting resonant plate 1223b to reciprocate bending vibrations.

[0157] To further explain, the adjusting resonant plate 1223b is located between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a, acting as a buffer between the two, and can adjust the vibration frequency of the piezoelectric carrier plate 1223a. Basically, the thickness of the adjusting resonant plate 1223b is greater than that of the piezoelectric carrier plate 1223a, and the vibration frequency of the actuator 1223 is adjusted by changing the thickness of the adjusting resonant plate 1223b.

[0158] Please refer to the following: Figure 7A , Figure 7B , Figure 8A , Figure 8B and Figure 9A As shown, the jet nozzle 1221, cavity frame 1222, actuator 1223, insulating frame 1224, and conductive frame 1225 are stacked sequentially and positioned within the air guide assembly support area 1215, causing the piezoelectric actuator 122 to be positioned within the air guide assembly support area 1215. The piezoelectric actuator 122 defines a gap 1221c between the suspension plate 1221a and the inner edge of the air guide assembly support area 1215, allowing gas to flow. The jet nozzle 1221 and the bottom surface of the air guide assembly support area 1215 form an airflow chamber 1227. The airflow chamber 1227 is connected to the resonant chamber 1226 between the actuator 1223, the jet orifice 1221, and the suspension plate 1221a through the hollow hole 1221b in the jet orifice 1221. By making the vibration frequency of the gas in the resonant chamber 1226 close to that of the suspension plate 1221a, the resonant chamber 1226 and the suspension plate 1221a can generate a Helmholtz resonance effect, thereby improving the gas transmission efficiency. When the piezoelectric plate 1223c moves away from the bottom surface of the air guide assembly bearing area 1215, the piezoelectric plate 1223c drives the suspension plate 1221a of the jet nozzle plate 1221 to move away from the bottom surface of the air guide assembly bearing area 1215, causing the volume of the airflow chamber 1227 to expand rapidly, the internal pressure drops and a negative pressure is generated, which attracts the gas outside the piezoelectric actuator 122 to flow in through the gap 1221c, and enter the resonant chamber 1226 through the hollow hole 1221b, increasing the air pressure in the resonant chamber 1226 and thus generating a pressure gradient. When the piezoelectric plate 1223c drives the suspension plate 1221a of the jet nozzle plate 1221 to move toward the bottom surface of the air guide assembly support area 1215, the gas in the resonant chamber 1226 flows out rapidly through the hollow hole 1221b, compresses the gas in the airflow chamber 1227, and causes the converged gas to be ejected rapidly and in large quantities into the vent hole 1215a of the air guide assembly support area 1215 in an ideal gas state close to Bernoulli's law.

[0159] By repeating Figure 9B and Figure 9CAs shown in the diagram, the piezoelectric plate 1223c vibrates reciprocally. Based on the principle of inertia, the gas pressure inside the resonant chamber 1226 after exhaust is lower than the equilibrium pressure, guiding the gas back into the resonant chamber 1226. This controls the vibration frequency of the gas in the resonant chamber 1226 to be similar to the vibration frequency of the piezoelectric plate 1223c, generating a Helmholtz resonance effect and achieving high-speed and high-volume gas transmission. All gas enters through the air inlet 1214a of the outer cover 126, flows through the air inlet 1214 into the air inlet groove 1214 of the base 121, and then flows to the position of the particle sensor 125. Furthermore, the piezoelectric actuator 122 continuously drives the intake gas, facilitating the rapid and stable flow of external gas. The gas passes above the particle sensor 125. At this time, the laser component 124 emits a beam that enters the intake groove 1214 through the light-transmitting window 1214b. The intake groove 1214 passes above the particle sensor 125. When the beam from the particle sensor 125 irradiates the suspended particles in the gas, scattering and projection light spots are generated. The particle sensor 125 receives the projection light spots generated by the scattering and calculates to obtain relevant information such as the particle size and concentration of the suspended particles contained in the gas. The gas above the particle sensor 125 is also continuously driven by the piezoelectric actuator 122 and guided into the vent 1215a of the gas guide component bearing area 1215, and then into the outlet groove 1216. Finally, when the gas enters the outlet groove 1216, the gas is continuously supplied into the outlet groove 1216 by the piezoelectric actuator 122. Therefore, the gas in the outlet groove 1216 is pushed and discharged to the outside through the outlet port 1216a and the outlet frame port 1261b.

[0160] The gas detector 1 of the present invention can not only detect suspended particles in the gas, but also further detect the characteristics of the introduced gas, such as formaldehyde, ammonia, carbon monoxide, carbon dioxide, oxygen, ozone, etc. Therefore, the gas detector 1 of the present invention also includes a gas sensor 127, which is positioned and electrically connected to the drive circuit board 123 and housed in the gas outlet groove 1216 to detect the characteristics of the introduced gas. The gas sensor 127 can be a volatile organic compound sensor to detect carbon dioxide or total volatile organic compound gas information; a formaldehyde sensor to detect formaldehyde gas information; a bacteria sensor to detect bacteria or fungi; a virus sensor to detect viruses; or a temperature and humidity sensor to detect gas temperature and humidity information.

[0161] See also Figure 2As shown, the air guide fan 21 of the aforementioned indoor air pollution treatment device 2 is activated under control to guide air pollution through the filter assembly 22 for filtration. The filter assembly 22 can be a filter with an MREV of 8 or higher (minimum filtration efficiency value) or a high-efficiency particulate air filter (HEPA). It adsorbs chemical fumes, bacteria, dust particles, and pollen contained in the air pollution, thereby achieving the effect of filtration and purification. It is worth noting that the HEPA filter of this invention is a high-efficiency particulate air filter (HEPA) of 10 or higher, with a dust holding capacity greater than 12000mg. The filter assembly 22 can be further combined with physical or chemical materials to provide a bactericidal effect on the air pollution. The airflow path of the air guide fan 21 is in the direction shown by the arrow. The air pollution is sterilized and removed by chemical means through the coating of a decomposition layer on the filter assembly 22. The decomposition layer can be an activated carbon 22a to remove organic and inorganic substances from the air pollution. It removes colored and odorous substances. Notably, the activated carbon 22a of this invention has a formaldehyde absorption capacity of more than 1500mg. The decomposition layer can be a chlorine dioxide purification factor 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 of viruses. The decomposition layer can be a herbal protective layer 22c of ginkgo and Japanese sumac, which effectively resists allergies and destroys the surface proteins of influenza viruses (e.g., H1N1). The decomposition layer can be a silver ion 22d, which inhibits viruses, bacteria, and fungi introduced into the air pollution. The decomposition layer can be a zeolite 22e, which removes ammonia nitrogen, heavy metals, organic pollutants, E. coli, phenol, chloroform, and anionic surfactants.In some embodiments, the filter component 22 can also be combined with a light-irradiated chemical method to sterilize and remove air pollution. The light irradiation is a photocatalyst unit consisting of 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, decomposes harmful substances in the air pollution, and disinfects and sterilizes, thereby achieving a filtration and sterilization effect. It is worth noting that the power of the ultraviolet lamp 22g in this invention is 120mw or more. The light irradiation can be a photoplasma unit consisting of a nanotube 22h. When the air pollution is irradiated by the nanotube 22h, the oxygen and water molecules in the air pollution are decomposed into highly oxidizing photoplasma, forming an ion gas flow that destroys organic molecules. This removes volatile organic compounds (VOCs) such as formaldehyde, toluene, and volatile organic compounds (VOCs) from the air pollution. Gas molecules such as compounds (VOCs) are decomposed into water and carbon dioxide, achieving the effect of filtration and sterilization. In some embodiments, the filter component 22 can also be combined with a decomposition unit to remove air pollution through sterilization using a chemical method. The decomposition unit can be a negative ion unit 22i, which causes the particles contained in the introduced air pollution to attach to the negatively charged particles, thereby achieving the effect of filtration and sterilization of the introduced air pollution. The decomposition unit can be a plasma ion unit 22j, which uses plasma ions to ionize oxygen molecules and water molecules contained in the air pollution to generate cations (H). + ) and anion (O 2- Furthermore, substances with water molecules attached to the ions adhere to the surface of viruses and bacteria. Under the action of chemical reactions, they are transformed into highly oxidizing reactive oxygen species (hydroxyl, OH groups), which take away hydrogen from the surface proteins of viruses and bacteria, oxidize and decompose them, thereby achieving the effect of filtering and sterilizing the introduced air pollution.

[0162] In summary, this invention provides an indoor air purification network mechanism system. It utilizes multiple gas detectors to detect air pollution information, carbon dioxide (CO2) pressure information, and gas temperature and humidity information in indoor and outdoor areas. At least one indoor air pollution treatment device includes at least one gas exchange device to provide ventilation and positive pressure intake to prevent air pollution from entering the indoor area, at least one purification and filtration device to provide near-zero cleanroom treatment for the indoor area, and at least one air conditioning device to regulate the temperature and humidity of the indoor area. Each indoor air pollution treatment device includes at least one fan, at least one filter assembly, and at least one drive controller. A networked cloud computing service device receives indoor and outdoor air pollution information, CO2 pressure information, and gas temperature and humidity information via Internet of Things (IoT) communication. Based on the detected information, it intelligently compares and selects the appropriate control command to issue a control command for each indoor air pollution treatment device. The processing equipment is equipped with gas detectors connected to a cloud computing service to form an intelligent linkage system. This system allows for real-time intelligent control of the indoor air pollution treatment equipment via gas detectors in both indoor and outdoor areas. It enables continuous monitoring of indoor air quality and temperature / humidity regulation, as well as control of air pollution filtration and purification. Simultaneously, the gas exchange device determines whether the difference in carbon dioxide (CO2) levels between the indoor and outdoor areas has reached zero equilibrium. It continuously provides positive pressure air into the indoor area, ensuring ventilation and preventing outdoor air pollution from entering. Once zero equilibrium is reached, the system adjusts the speed of the indoor air pollution treatment equipment's fan to reduce airflow, effectively controlling energy efficiency and suppressing noise from the airflow. This system achieves near-zero air pollution levels in a cleanroom environment, demonstrating significant industrial application value.

Claims

1. An indoor air purification network mechanism system, comprising: Multiple gas detectors are deployed in an indoor and an outdoor area to detect air pollution information, carbon dioxide (CO2) pressure information, and gas temperature and humidity information. At least one indoor air pollution treatment device is installed in the indoor area, and is equipped with at least one gas detector, and includes at least one fan, at least one filter component and at least one drive controller. The gas detector is electrically connected to the drive controller and receives a control command via Internet of Things communication to control the start-up of the fan. The indoor air pollution treatment device includes at least one gas exchange device to provide ventilation and positive pressure intake into the indoor area, at least one purification filter device to provide air pollution purification and near-zero cleanroom treatment in the indoor area, and at least one air conditioning device to provide temperature and humidity regulation in the indoor area. A networked cloud computing service device includes a wireless network cloud computing service module, a cloud control service unit, a device management unit, an application unit, and a generative artificial intelligence (AIGC) model. The networked cloud computing service device receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from the indoor and outdoor areas through Internet of Things communication, stores them to form an air pollution big data database, and intelligently compares and selects to issue the control command based on the detected air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information. The networked cloud computing service device receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information detected by multiple gas detectors. Based on the intelligent calculation and comparison of the air pollution big data database, it intelligently selects and issues the control command to the air guide fan of the indoor air pollution treatment equipment to start the control operation. The gas exchange device implements ventilation of the indoor area and provides positive pressure air intake to prevent air pollution from entering the indoor area. The purification and filtration device implements the internal circulation purification of air pollution in the indoor area through the filter components to achieve near-zero cleanroom treatment. The air conditioning device implements temperature and humidity regulation of the indoor area to provide the indoor area with a cleanliness level of cleanroom.

2. The indoor air purification network mechanism system as described in claim 1, wherein the generative artificial intelligence (AIGC) model of the network cloud computing service device provides professionally generated data and user-generated data. The professionally generated data includes outdoor and indoor air pollution data of the building, indoor field data of the building, cleanroom level data, hardware specifications of the air purification system, and software specifications of the air purification system. The user-generated data includes indoor field parameter data of the user's building, experimentally measured air pollution parameter data of the user's building, and indoor HVAC air exchange rate parameter data of the user's building. Furthermore, an automatically generated data is generated by calculating, comparing, and identifying the professionally generated data and the user-generated data. The automatically generated data includes the optimized quantity of air purification hardware, optimized performance control of air purification hardware, optimized noise reduction control of air purification hardware, information on the minimum initial setup cost of the air purification system, and information on the minimum operating cost of the air purification system.

3. The indoor air clean network mechanism system as described in claim 2, wherein the building materials required for the building indoor area data generated by the professional are low dust generation, low emission, non-permeable surface, anti-static, seamless and rounded corner design, airtight configuration, and positive pressure environment configuration specifications; the furniture required for the building indoor area data is seamless structural design, smooth surface, anti-static, corrosion-resistant and antibacterial material configuration specifications; and the lighting required for the building indoor area data is dust-free lamp configuration specifications.

4. The indoor air purification network mechanism system as described in claim 1, wherein the device management unit of the cloud computing service device receives the communication information of the indoor air pollution treatment equipment through the wireless network cloud computing service module for user login management and device binding management, and can provide the application unit with management information such as maintenance and management of the indoor air pollution treatment equipment, automated anomaly detection, analysis, processing and improvement, control and inspection measurement to ensure that the cleanliness requirements of the cleanroom level are met, customer feedback and hardware and software technology improvement correction mechanism for system control and management.

5. The indoor air purification network mechanism system as described in claim 1, wherein the pressure detection information of carbon dioxide (CO2) in the indoor area detected by the gas detector inside the gas exchange device, the gas detector deployed in the indoor area, and the gas detector deployed in the outdoor area is transmitted to the network cloud computing service device via Internet of Things communication, and the device intelligently compares the pressure difference of carbon dioxide (CO2) in the indoor area and the outdoor area based on the pressure information of each of the aforementioned detected carbon dioxide (CO2), and performs the ventilation operation of the indoor area.

6. The indoor air purification network mechanism system as described in claim 5, wherein the network cloud computing service device compares whether the pressure difference of carbon dioxide (CO2) in the indoor area and the outdoor area has reached zero balance. If zero balance has not been reached, the device selects to send the control command to the gas detector of the gas exchange device to receive and control the drive controller to start the operation of the duct fan, continuously providing positive pressure air intake into the indoor area to implement the ventilation operation of the indoor area, keeping the air pollution in the outdoor area from entering the indoor area. The gas detector inside the purification filter device and the air conditioning device receives the control command and controls the drive controller to start the operation of the duct fan, continuously providing the indoor area with cleanroom treatment and temperature and humidity regulation to achieve zero air pollution. When zero balance is reached, the device selects to send the control command to the gas detector of the gas exchange device to receive and control the drive controller to stop the operation of the duct fan, and sends the control command to the gas detector inside the purification filter device and the air conditioning device to receive and control the drive controller to adjust the speed of the duct fan to reduce the airflow.

7. The indoor air purification network mechanism system as described in claim 1, wherein the gas exchange device is a fresh air unit.

8. The indoor air purification network mechanism system as described in claim 1, wherein the gas exchange device is a total heat exchanger.

9. The indoor air purification network mechanism system as described in claim 1, wherein the gas exchange device is a heating, ventilation and air conditioning (HVAC) unit.

10. The indoor air purification network mechanism system as described in claim 1, wherein the purification and filtration device includes at least one air purifier, at least one fan filter unit (FFU), at least one exhaust device, at least one smoke exhaust system, at least one dehumidifier, and at least one portable vacuum cleaner.

11. The indoor air purification network mechanism system as described in claim 1, wherein the air conditioning device regulates the indoor space to maintain a temperature of 25℃±3℃ and a humidity of 50%±10%.

12. The indoor air purification network mechanism system as described in claim 1, wherein the Internet of Things communication is a wireless communication, for wireless communication with the networked cloud computing service device, wherein the wireless communication may be one of a Wi-Fi module, a Bluetooth module, a radio frequency identification module, or a near-field communication module.

13. The indoor air purification network mechanism system as described in claim 1, wherein the Internet of Things communication is a wired communication, which is used to connect and communicate with the networked cloud computing service device via a wired line.

14. The indoor air purification network mechanism system as described in claim 1, wherein the gas detector includes a control circuit board, a gas detection body, a microprocessor, and a communicator, wherein the control circuit board is electrically connected to the drive controller, and the gas detection body, the microprocessor, and the communicator are encapsulated in the control circuit board and electrically connected, and the microprocessor controls the detection operation of the gas detection body, causing the gas detection body to detect the air pollution, and the microprocessor processes the detected air pollution and outputs the air pollution information to the communicator for external communication transmission.

15. The indoor air purification network mechanism system as described in claim 1, wherein the filter component is a filter with an MREV (Minimum Filtration Efficiency Value) of 8 or higher.

16. The indoor air purification network mechanism system as described in claim 1, wherein the filter component is a high-efficiency particulate air filter (HEPA) grade, wherein the HEPA is HEPA 10 or higher and has a dust holding capacity greater than 12000mg.

17. The indoor air purification network mechanism system as described in claim 1, wherein the filter component incorporates a chemical method of sterilizing and removing air pollutants by coating a decomposition layer.

18. The indoor air purification network mechanism system as described in claim 17, wherein the decomposition layer is activated carbon, and the formaldehyde absorption capacity of the activated carbon is greater than 1500 mg.

19. The indoor air purification network mechanism system as described in claim 17, wherein the decomposition layer is a chlorine dioxide purification factor.

20. The indoor air purification network mechanism system as described in claim 17, wherein the decomposition layer is a herbal protective layer of ginkgo and sumac.

21. The indoor air purification network mechanism system as described in claim 17, wherein the decomposition layer is a silver ion.

22. The indoor air purification network mechanism system as described in claim 17, wherein the decomposition layer is a zeolite.

23. The indoor air purification network mechanism system as described in claim 1, wherein the filter component is combined with a light-irradiated chemical method to sterilize and remove the air pollutants.

24. The indoor air purification network mechanism system as described in claim 23, wherein the light irradiation is a photocatalyst unit consisting of a photocatalyst and an ultraviolet lamp.

25. The indoor air purification network mechanism system as described in claim 24, wherein the ultraviolet lamp has a power of 120mw or more.

26. The indoor air purification network mechanism system as described in claim 23, wherein the light irradiation is a photoplasma unit of a nanotube.

27. The indoor air purification network mechanism system as described in claim 1, wherein the filter component, in conjunction with a decomposition unit, chemically removes the air pollutants through sterilization.

28. The indoor air purification network mechanism system as described in claim 26, wherein the decomposition unit is a negative ion unit.

29. The indoor air purification network mechanism system as described in claim 26, wherein the decomposition unit is a plasma ion unit.

30. The indoor air cleanroom network mechanism system as described in claim 1, wherein the cleanroom level is ZAPCleanroom1 to 12.

31. The indoor air cleanroom network mechanism system as described in claim 30, wherein the required clean air delivery rate (CADR) per cubic meter for the cleanroom class selected as ZAPClean room 1 is equivalent to 195,000 to 370,000 m³. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 2 is 58,000–115,000 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 3 is 17,500–35,000 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 4 is 5200–10000 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 5 is 1500–3000 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 6 is 450–1000 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 7 is 135–300 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 8 is 60–135 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 9 is 35–80 m³ / h. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 10 within the / h range is equivalent to 15~m³. 3 The required Clean Air Delivery Rate (CADR) per cubic meter for ZAPClean room 11 is equivalent to 10–30 m³ / h. 3 The equivalent of the clean air delivery rate (CADR) required per cubic meter for ZAPClean room 12 within the / h range is 3-10m³. 3 Any one of the / h ranges.

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