Clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity

Abstract

The invention discloses a clean air and sewage intelligent networking mechanism system for controlling indoor air temperature and humidity. The clean air and sewage intelligent networking mechanism system comprises a plurality of gas detectors, at least one cooling exchanger, at least one heat exchanger, at least one dehumidifier, at least one humidifier and at least one networking cloud computing service device, the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier are internally provided with gas detectors, an air guide fan, a filtering assembly and a driving controller, and the networking cloud computing service device receives air pollution information, carbon dioxide pressure detection information and gas temperature and humidity information detected by a plurality of gas detectors; and intelligent operation and comparison are carried out, a control instruction is sent out to control the operation of the air guide fans of the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier to adjust the temperature and the humidity of an indoor field domain, and air pollution gas is drained to carry out circulating air pollution purification in the indoor field domain.

Description

Technical Field

[0001] This invention relates to a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, specifically a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity in cleanroom treatment applications that achieves an optimal balance of cleanliness, comfort, and energy saving within an indoor space. 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. In addition to outdoor air quality, indoor air conditioning conditions and pollution sources are the main factors affecting indoor air quality. However, it can intelligently and quickly detect indoor air pollution sources in various indoor areas, effectively remove indoor air pollution to form a clean and safe breathing gas state, and monitor indoor air quality anytime and anywhere.

[0006] 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.

[0007] In view of this, how to detect indoor air quality in indoor spaces and how to solve the problem of air pollution, enabling real-time detection and purification of air pollution in indoor spaces to achieve near-zero cleanroom treatment, while providing an application of air pollution detection and purification near-zero cleanroom treatment with the best balance of cleanliness, comfort and energy saving, so as to avoid the health impact and harm caused by the gas hazards in the environment, this invention provides a clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity, which is the main research topic of this invention. Summary of the Invention

[0008] The main objective of this invention is to provide a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity. This system utilizes multiple gas detectors to monitor air pollution information, carbon dioxide (CO2) pressure, and gas temperature and humidity in indoor and outdoor environments. It includes at least one cold exchanger, at least one heat exchanger, at least one dehumidifier, and at least one humidifier, along with a networked cloud computing service device. Each of the cold exchanger, heat exchanger, dehumidifier, and humidifier is internally equipped with at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The gas detectors are electrically connected to the drive controllers. The gas detectors receive control commands from the networked cloud computing service device via IoT communication and transmit them to the drive controllers, forming an intelligent linkage system that instantly controls the fan operation. The system operates dynamically, monitoring indoor air quality and adjusting temperature and humidity anytime and anywhere. Based on the monitored status, it intelligently compares and issues control commands to control the start-up of the air duct and adjust the airflow, effectively controlling the energy efficiency of the air conditioning unit. It also includes at least one gas exchange device and at least one purification and filtration device. The generative artificial intelligence (AIGC) model of the networked cloud computing service device uses the system's environmental detection parameters and equipment-enabled control to optimize the operating mode. This results in the clean air pollution intelligent network mechanism system that controls indoor air temperature and humidity, along with the gas exchange device and purification and filtration device, achieving an optimal balance of cleanliness, comfort, and energy saving. It records power consumption to optimize system operating costs, achieving real-time detection and near-zero air pollution purification in a cleanroom, reaching a cleanroom-level cleanliness.

[0009] To achieve the above objectives, the present invention provides a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, comprising: multiple gas detectors installed in an indoor area and an outdoor area to detect air pollution information, carbon dioxide (CO2) pressure information, and gas temperature and humidity information; at least one cold exchanger installed in the indoor area, and internally comprising the gas detectors, at least one fan, at least one filter assembly, and at least one drive controller. The drive controller is electrically connected to the gas detectors, and the gas detectors receive a control command to control the drive controller to actuate and control the start-up operation of the fan. Air polluted gas is cleaned and introduced into the indoor area through the filter assembly, and includes a condensing element to perform cooling temperature exchange and transfer on the air polluted gas introduced by the fan, thereby regulating the gas temperature in the indoor area; at least one heat exchanger is disposed in the indoor area, and internally includes a gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to control the drive controller to actuate and control the start-up operation of the fan, and air polluted gas is cleaned and introduced into the indoor area through the filter assembly, and includes a heating element. The system includes components for heating and temperature exchange of the air polluted gas introduced by the fan to regulate the gas temperature in the indoor area; and at least one dehumidifier, installed in an indoor area and containing the gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to actuate the drive controller, thereby controlling the start-up and operation of the fan. Air polluted gas is cleanly introduced into the indoor area through the filter assembly. The system also includes a condenser coil and an evaporator coil to remove condensate moisture from the air polluted gas introduced by the fan. Heating temperature exchange transfer to regulate the gas temperature and humidity in the indoor area; at least one humidifier is installed in the indoor area and has the gas detector, at least one fan, at least one filter assembly and at least one drive controller inside. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to control the drive controller to start the fan. A polluted air is cleaned and introduced into the indoor area through the filter assembly. A steam generating element is included to generate steam and release it into the polluted air introduced by the fan to regulate the gas temperature and humidity in the indoor area.At least one 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. This 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 via IoT communication, stores these information to form an air pollution big data database, and intelligently compares and selects control commands based on the detected air pollution information, CO2 pressure detection information, and gas temperature and humidity information. The internal gas detectors of the cooling exchanger, heating exchanger, dehumidifier, and humidifier receive the control commands and control the drive controller to activate and regulate the start-up of the fan, implementing gas temperature and humidity adjustment within the indoor area. It also guides the polluted air in the indoor area through the filter assembly for purification, providing near-zero cleanroom treatment for circulating air pollution within the indoor area, achieving a cleanroom-level cleanliness. Attached Figure Description

[0010] Figure 1A This diagram illustrates an example of the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, as described in this invention, in an indoor setting.

[0011] Figure 1B This is a schematic diagram of the dehumidifier of the present invention.

[0012] Figure 1C This is a schematic diagram of the humidifier of the present invention.

[0013] Figure 1D This is a schematic diagram of the gas exchange device of the present invention.

[0014] Figure 1E This is a schematic diagram of the air purifier of the indoor air purification and filtration device of the present invention.

[0015] Figure 1F For the present invention Figure 1E A cross-sectional schematic diagram of the air purifier in the middle of the room.

[0016] Figure 1G This is a schematic diagram of the fan filter unit (FFU) of the indoor air purification and filtration device of the present invention.

[0017] Figure 1H For the present invention Figure 1A A cross-sectional schematic diagram of a vacuum cleaner for indoor air purification and filtration devices.

[0018] Figure 1I This is a cross-sectional schematic diagram of the oxygen generating device of the present invention.

[0019] 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.

[0020] Figure 3A This is a three-dimensional schematic diagram of the gas detector of the present invention.

[0021] Figure 3B This is a three-dimensional schematic diagram of the gas detector of the present invention from another angle.

[0022] Figure 3C This is a schematic diagram of the gas detection module inside the gas detector of the present invention.

[0023] Figure 4A This is a three-dimensional assembly diagram of the gas detection main body of the present invention (I).

[0024] Figure 4B This is a three-dimensional assembly diagram (II) of the gas detection main body of the present invention.

[0025] Figure 4C This is a three-dimensional exploded view of the gas detector of the present invention.

[0026] Figure 5A This is a three-dimensional schematic diagram (I) of the base of the present invention.

[0027] Figure 5B This is a three-dimensional schematic diagram (II) of the base of the present invention.

[0028] Figure 6 This is a three-dimensional schematic diagram (III) of the base of the present invention.

[0029] Figure 7A This is a three-dimensional schematic diagram showing the disassembled piezoelectric actuator and base of the present invention.

[0030] Figure 7B This is a three-dimensional schematic diagram of the piezoelectric actuator and base assembly of the present invention.

[0031] Figure 8A This is a three-dimensional exploded view (I) of the piezoelectric actuator of the present invention.

[0032] Figure 8B This is a three-dimensional exploded view (II) of the piezoelectric actuator of the present invention.

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

[0034] Figure 9B This is a cross-sectional schematic diagram (II) of the piezoelectric actuator of the present invention.

[0035] Figure 9C This is a cross-sectional schematic diagram of the piezoelectric actuator of the present invention (III).

[0036] Figure 10A A cross-sectional view of the gas detection unit assembly (I).

[0037] Figure 10B This is a cross-sectional view (II) of the gas detection unit assembly.

[0038] Figure 10C This is a cross-sectional view of the gas detection unit assembly (III).

[0039] Figure 11 This is a schematic diagram of the gas detector transmission of the present invention.

[0040] Figure 12A This is a schematic diagram of the architecture of the networked cloud computing service device of the present invention.

[0041] Figure 12B This is another schematic diagram of the architecture of the networked cloud computing service device of the present invention.

[0042] 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.

[0043] [Symbol Explanation]

[0044] A: Indoor space

[0045] B: Outdoor areas

[0046] C1: Air intake port

[0047] C2: Exhaust port

[0048] H: Cooking utensils

[0049] 1: Gas detector

[0050] 11: Control circuit board

[0051] 12: Gas detection main body

[0052] 121: Base

[0053] 1211: First Surface

[0054] 1212: Second Surface

[0055] 1213: Laser Setting Area

[0056] 1214: Intake Groove

[0057] 1214a: Air intake port

[0058] 1214b: Light-transmitting window

[0059] 1215: Air guide assembly bearing area

[0060] 1215a: Vent hole

[0061] 1215b: Positioning bump

[0062] 1216: Vent groove

[0063] 1216a: Vent outlet

[0064] 1216b: First interval

[0065] 1216c: Second interval

[0066] 122: Piezoelectric actuator

[0067] 1221: Jet nozzle plate

[0068] 1221a: Suspension tablet

[0069] 1221b: Hollow cavity

[0070] 1221c: Gap

[0071] 1222: Cavity Frame

[0072] 1223: Actuator

[0073] 1223a: Piezoelectric carrier plate

[0074] 1223b: Adjusting the resonant plate

[0075] 1223c: Piezoelectric plate

[0076] 1223d: Piezoelectric pin

[0077] 1224: Insulation Frame

[0078] 1225: Conductive framework

[0079] 1225a: Conductive pin

[0080] 1225b: Conductive electrode

[0081] 1226: Resonance Chamber

[0082] 1227: Airflow Chamber

[0083] 123: Driver circuit board

[0084] 124: Laser Components

[0085] 125: Particle Sensor

[0086] 126: Outer cover

[0087] 1261: Side panel

[0088] 1261a: Air intake frame

[0089] 1261b: Air vent

[0090] 127: Gas Sensor

[0091] 13: Microprocessor

[0092] 14: Communicator

[0093] 2A: Cooling exchanger

[0094] 2B: Heat exchanger

[0095] 2C: Dehumidifier

[0096] 2D: Humidifier

[0097] 2E: Gas exchange device

[0098] 2F: Air Purifier

[0099] 2G: Fan Filter Unit (FFU)

[0100] 2H: Exhaust system

[0101] 2I: Smoke Exhaust System

[0102] 2Ia: Exhaust passage

[0103] 2Ib: Main body for exhausting cooking fumes

[0104] 2J: Vacuum Cleaner

[0105] 2K: Oxygen Generator

[0106] 21: Air guide fan

[0107] 22: Filtering Components

[0108] 22a: Activated carbon

[0109] 22b: Cleaning agent of chlorine dioxide

[0110] 22c: Herbal protective layer of ginkgo and sumac.

[0111] 22d: Silver ion

[0112] 22e: Zeolite

[0113] 22f: Photocatalyst

[0114] 22g: Ultraviolet lamp

[0115] 22h: Nanotube

[0116] 22i: Negative ion unit

[0117] 22j: Plasma Ion Unit

[0118] 23: Drive Controller

[0119] 24: Condensing element

[0120] 25: Heating element

[0121] 26a: Condensing coil

[0122] 26b: Evaporator coil

[0123] 27: Steam generating element

[0124] 28: Flow diversion channel

[0125] 28a: Air intake port

[0126] 28b: Recirculating air inlet

[0127] 28c: Filtered air duct

[0128] 29: Gas exchange fan

[0129] 20: Adsorption sieve

[0130] 3: Networked cloud computing service device

[0131] 31: Wireless Network Cloud Computing Service Module

[0132] 32: Cloud Control Service Unit

[0133] 33: Device Management Unit

[0134] 34: Application Unit

[0135] 35: Generative Artificial Intelligence (AIGC) Model Detailed Implementation

[0136] 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.

[0137] like Figure 1A As shown, the present invention is a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, including: multiple gas detectors 1, at least one cold exchanger 2A, at least one heat exchanger 2B, at least one dehumidifier 2C, at least one humidifier 2D, and at least one networked cloud computing service device 3.

[0138] The aforementioned multiple gas detectors 1 are installed in an indoor area A and an outdoor area B to detect air pollution gases and output 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. It is worth noting that the aforementioned gas detectors 1 have an internal 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, which does not have an external power supply terminal, is directly connected to the indoor device for power-on. It receives a control command to control the power supply of the indoor device and starts its operation. It is worth noting that the aforementioned air pollutants refer 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. 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. IoT communication can be wired communication, allowing connection to a networked cloud computing service device via a wired line; or it can be wireless communication, allowing connection to a 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.

[0139] The aforementioned cooling exchanger 2A is installed in an indoor area A and contains at least one gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The drive controller 23 is electrically connected to the gas detector 1, and the gas detector 1 receives a control command to control the drive controller 23 to start the operation of the fan 21. A polluted air is cleanly introduced into the indoor area A through the filter assembly 22. The system also includes a condensing element 24 to perform cooling temperature exchange and transfer on the polluted air introduced by the fan 21, thereby regulating the gas temperature in the indoor area A.

[0140] The aforementioned heat exchanger 2B is installed in an indoor area A and contains at least one gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The drive controller 23 is electrically connected to the gas detector 1, and the gas detector 1 receives a control command to control the drive controller 23 to start the operation of the fan 21. The polluted air is cleaned and introduced into the indoor area A through the filter assembly 22. The heat exchanger also includes a heating element 25 to perform heating and temperature exchange transfer on the polluted air introduced by the fan 21, thereby regulating the gas temperature in the indoor area A.

[0141] like Figure 1A and Figure 1B As shown, the dehumidifier 2C is installed in indoor area A and contains at least one gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The drive controller 23 is electrically connected to the gas detector 1, and the gas detector 1 receives a control command to control the drive controller 23 to activate the fan 21. The polluted air is cleanly introduced into indoor area A through the filter assembly 22. The dehumidifier also includes a condenser coil 26a and an evaporator coil 26b to remove condensate moisture and transfer heat from the air introduced by the fan 21, thereby regulating the temperature and humidity of the air in indoor area A. It is noteworthy that the temperature and humidity of indoor area A are maintained at 25℃±3℃ and 50%±10% respectively.

[0142] like Figure 1A and Figure 1C As shown, the humidifier 2D described above is installed in an indoor area A, and internally includes a gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The drive controller 23 is electrically connected to the gas detector 1, and the gas detector 1 receives a control command to control the drive controller 23 to activate the fan 21. The polluted air is cleanly introduced into the indoor area A through the filter assembly 22. A steam generating element 27 is also included to generate steam and release it into the polluted air introduced by the fan 21, thereby regulating the temperature and humidity of the air in the indoor area A. Notably, the temperature and humidity of the air in the indoor area A are maintained at 25℃ ± 3℃ and 50% ± 10%. The cooling exchanger 2A can remove heat equal to the floor area × 600 BTU (cooling capacity) per hour, and the noise level of the fan 21 during operation is 35–50 dB.

[0143] like Figure 1AAs shown in Figure 12, 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 networked cloud computing service device 3 receives air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information from indoor and outdoor areas 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, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information.

[0144] As described above, the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention receives control commands from the networked cloud computing service device 3 through the internal gas detectors 1 of the cooling exchanger 2A, the heating exchanger 2B, the dehumidifier 2C, and the humidifier 2D. This control drives the controller 23 to activate the fan 21, thereby regulating the air temperature and humidity in the indoor area A. The system also guides the polluted air in the indoor area A through the filter assembly 22 for purification, providing near-zero cleanroom treatment for the circulating air pollution in the indoor area A, achieving a cleanroom-level cleanliness.

[0145] Of course, such as Figure 1A As shown, the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention further includes at least one gas exchange device 2E, at least one purification and filtration device, and an oxygen generation device 2K.

[0146] like Figure 1A and Figure 1DAs shown, the gas exchange device 2E described above is internally configured with at least one gas detector 1, at least one fan 21, at least one filter assembly 22 and at least one drive controller 23. The gas detector 1 is electrically connected to the drive controller 23. The gas detector 1 receives control commands from the networked cloud computing service device 3 via Internet of Things communication and transmits them to the drive controller 3 to control the drive controller 3 to actuate and control the start-up and operation of the fan 21, thereby providing ventilation for indoor area A and providing positive pressure air intake into indoor area A. The indoor area A is provided with at least one air intake C1 and at least one exhaust outlet C2. The gas exchange device 2E includes a flow channel 24, which has an air intake outlet 28a corresponding to the air intake C1 in the indoor area A, a recirculation return air outlet 28b connecting to the indoor area A, and a filter duct 28c connecting to the indoor area A. The recirculation return air outlet 28b is provided with a gas exchange fan 29, and the filter duct 28c is configured with a guide fan 21 and a filter assembly 22. The networked cloud computing service device 3 is intelligent. It can calculate and compare air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information of indoor area A and outdoor area B. When the networked cloud computing service device 3 receives the detection information from the gas exchange device 2E through IoT communication, it compares whether the pressure difference of carbon dioxide (CO2) in indoor area A and outdoor area B has reached zero balance. That is to say, the safe value of the carbon dioxide (CO2) pressure detection information in indoor area A and outdoor area B must be the same. If the zero balance has not been reached, it selects to send a control command to the gas detector 1 of the gas exchange device 2E to receive and control the drive controller 23 to control the start operation of the guide fan 21. The gas from outdoor area B is introduced into the filter duct 28c through the air inlet C1 and filtered by the filter component 22 before entering indoor area A. At the same time, the gas in indoor area A enters the filter duct 28c again through the recirculation return air inlet 28b for circulation filtration and temperature adjustment to achieve ventilation. The ventilation is implemented to achieve the zero balance of the carbon dioxide (CO2) pressure detection difference between indoor area A and outdoor area B. It is important to note that the safe value of the carbon dioxide (CO2) pressure reading in indoor area A must be maintained between 400 and 600 PPM. Gas exchange unit 2E may be a fresh air unit, a total heat exchanger, or a heating, ventilation, and air conditioning (HVAC) unit, but is not limited to these.It is worth noting that the networked cloud computing service device 3 receives detection information from the gas exchange device 2E 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 balance. If it has not reached zero balance, it sends a control command to the gas detector 1 of the gas exchange device 2E, 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 balance is reached, it sends a control command to the gas detector 1 of the gas exchange device 2E, which in turn controls the drive controller 23 to stop and start the duct fan 21. This intelligent networked mechanism system for controlling indoor air temperature and humidity requires that when the gas exchange device 2E starts operating to perform ventilation, the space in indoor area A must maintain a positive pressure of above 0 Pa. This system prevents air pollution from outdoor area B from entering indoor area A. The gas detector 1 inside the purification filter device 2b and air conditioning unit 2c continuously receives control commands from the networked cloud computing service device 3, which in turn controls the drive controller 23 to start the fan 21. This continuously circulates air pollution within indoor area A, purifying it to near-zero levels in a cleanroom environment and regulating temperature and humidity. 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 it reaches zero, it issues a control command to the gas detector 1 inside the purification filter device. This command then controls the drive controller 23 to adjust the fan 21 to reduce its airflow, effectively controlling the energy efficiency of the equipment and suppressing noise from the airflow. This achieves real-time detection and near-zero air pollution purification in a cleanroom environment, reaching a cleanroom-level cleanliness.

[0147] like Figure 1A As shown, the aforementioned purification and filtration device is internally configured with at least one gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The gas detector 1 is electrically connected to the drive controller 23. The gas detector 1 receives control commands from the networked cloud computing service device 3 via Internet of Things (IoT) communication and transmits them to the drive controller 23 to control the drive controller 23 to activate and operate the fan 21, providing a near-zero cleanroom treatment for air pollution purification in the indoor area A through internal circulation. The purification and filtration device includes at least one air purifier 2F, at least one fan filter unit (FFU) 2G, at least one exhaust system 2H, at least one smoke exhaust system 2I, and at least one portable vacuum cleaner 2J.

[0148] like Figure 1A As shown, Figure 1E and Figure 1FAs shown, the air purifier 2F 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 2F via IoT communication. The controller 23 controls the start-up of the fan 21 to draw polluted air from the indoor space A and filter it through the filter assembly 22. The purified air is then introduced into the indoor space A, causing the polluted air in the indoor space A to be drawn through the filter assembly 22 multiple times for air purification and cleanroom treatment.

[0149] like Figure 1A As shown and Figure 1G As shown, the aforementioned fan filter unit (FFU) 2G is built-in in indoor area A. The fan filter unit (FFU) 2G includes a flow channel 28, which has a recirculation return air inlet 28b connecting to indoor area A and a filter duct 28c connecting to indoor area A. The filter duct 28c 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) 2G via IoT communication. The controller 23 receives the commands and controls the start-up of the fan 21 to draw polluted air from indoor area A into the flow channel 28 through the recirculation return air inlet 28b and through the filter duct 28c. 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 polluted air in the space of indoor area A to be drawn through the flow channel 28 multiple times, effectively suppressing the backflow effect of the recirculated filtration gas and achieving near-zero air pollution cleanroom treatment.

[0150] like Figure 1A As shown, the exhaust device 2H 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 2H via IoT communication. The controller 23 controls the start-up of the guide fan 21 to guide the polluted air in the indoor area A into the air. The guide fan 21 guides the polluted air to be filtered and purified by the filter component 22 and discharged to the outdoor area B to achieve near-zero air pollution cleanroom treatment in the indoor area A.

[0151] like Figure 1AAs shown, cooking in the kitchen environment of indoor space A generates significant air pollution rapidly. To prevent this air pollution from affecting human health, a purification and filtration device can be configured as a range hood system 2I, located in the kitchen area of ​​indoor space A. The range hood system 2I includes an exhaust duct 2Ia, corresponding to an exhaust port C2 connecting to the outdoor space B, and positioned above the cooking appliance H. The exhaust duct 2Ia contains a fan 21, a filter assembly 22, and a drive controller 23. The range hood system 2I also includes a fume exhaust body 2Ib, corresponding to an exhaust port C2 connecting to the outdoor space B, and positioned in front of the cooking appliance H to exhaust fumes. The main body 2Ib is equipped with a fan 21, a filter assembly 22, and a drive controller 23. Gas detectors 1 are installed inside the exhaust duct 2Ia and the main body 2Ib, and are 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 2Ia and the main body 2Ib via IoT communication to control the drive controller 23 to start the operation of the fan 21. This is to guide the air pollution from the kitchen in the indoor area A into the exhaust duct 2Ia and the main body 2Ib, where it is filtered and purified by the filter assembly 22, and then discharged to the outdoor area B for near-zero air pollution cleanroom treatment.

[0152] like Figure 1A , Figure 1G As shown in the figure, the aforementioned portable vacuum cleaner 2J is plug-in positioned in 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 2J, which in turn controls the controller 23 to activate the fan 21. This draws polluted air from indoor space A, which is then purified by the filter assembly 22 to achieve near-zero cleanroom conditions. It is noteworthy that the portable vacuum cleaner 2J is a robotic vacuum cleaner.

[0153] As described above, the intelligent networked clean air pollution control system for controlling indoor air temperature and humidity of the present invention, in its specific implementation, involves the networked cloud computing service device 3 receiving pressure detection information of carbon dioxide (CO2) in the indoor area from the internal gas detector 1 of the gas exchange device 2E, the gas detector 1 deployed in indoor area A, and the gas detector 1 deployed in outdoor area B via Internet of Things communication. Based on the aforementioned pressure information of carbon dioxide (CO2), the device intelligently compares the pressure difference of carbon dioxide (CO2) in indoor area A and outdoor area B, and implements ventilation operation in indoor area A. Furthermore, the intelligent networked clean air pollution control system for controlling indoor air temperature and humidity of the present invention can also be implemented by setting up... Figure 1A and Figure 1IThe oxygen generator 2K shown regulates the carbon dioxide (CO2) and oxygen content in indoor area A, ensuring sufficient oxygen levels for breathing in indoor area A, creating a comfortable and safe environment, and maintaining safe access to clean air. It is noteworthy that the oxygen generator 2K internally includes at least one gas detector 1, at least one fan 21, at least one filter assembly 22, and at least one drive controller 23. The gas detector 1 and drive controller 23 are electrically connected. The gas detector 1 receives control commands from the networked cloud computing service device 3 via IoT communication and transmits them to the drive controller 23, which in turn controls the drive controller 23 to activate the fan 21. The device also includes an adsorption sieve 20, where zeolite molecules adsorb nitrogen from the air introduced by the fan 21, separating oxygen and providing oxygen to indoor area A. This regulates the carbon dioxide (CO2) and oxygen content in indoor area A, ensuring sufficient oxygen levels for breathing in indoor area A, creating a comfortable and safe environment, and maintaining safe access to clean air.

[0154] As shown in Figure 12, 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 model (AIGC) 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 indoor devices 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 performs intelligent calculations and compares data with the air pollution database, and sends control commands to the wireless network cloud computing service module 31, which then transmits them to the indoor air pollution treatment equipment for control startup. The device management unit 33 receives communication information from indoor devices through the wireless network cloud computing service module 31 for user login management and device binding management. It also provides maintenance and management of the indoor devices, automated anomaly detection, analysis, processing, and improvement, control and inspection measurements to ensure compliance with cleanroom cleanliness requirements, customer feedback, and hardware and software technology improvement correction mechanisms. These management information are 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 access the information via mobile phone or communication device. The system allows users to monitor the real-time status of air pollution removal and control the operation of the clean air pollution intelligent network mechanism system by using a mobile phone or communication device application unit 34 to control indoor air temperature and humidity. The generative artificial intelligence model (AIGC) provides professionally generated data for the clean air pollution intelligent 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 the system's own data on indoor air temperature and humidity control. The system uses user-generated data, including indoor field parameters of the user's building, experimentally measured air pollution parameters, and HVAC ventilation rate parameters. The generative AI model, by inputting both professionally generated and user-generated data, calculates, compares, and identifies automatically generated data. This automatically generated data includes 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 of the air purification system, and minimum operating cost of the air purification system. Notably, the professionally generated data specifies building materials with low dust generation, low emissions, non-permeable surfaces, anti-static properties, seamless and rounded corner designs, airtight configurations, and positive pressure environment requirements. The data also specifies furniture with seamless structures, smooth surfaces, anti-static properties, corrosion resistance, and antibacterial materials. Finally, the data specifies lighting requirements for cleanroom fixtures.

[0155] Furthermore, the generative artificial intelligence (AIGC) model of the networked cloud computing service device utilizes the system's environmental monitoring parameters and equipment-enabled control to optimize the operating mode, so as to achieve the best balance of cleanliness, comfort, and energy saving for the cooling exchanger 2A, heating exchanger 2B, 2C dehumidifier and humidifier 2D, gas exchange device 2E, purification and filtration device (air purifier 2F, fan filter unit (FFU) 2G, exhaust device 2H, smoke exhaust system 2I and portable vacuum cleaner 2J) and oxygen generator 2K. At the same time, the operating mode records the power consumption to optimize the system operating cost.

[0156] As described above, the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention specifically realizes real-time detection of air pollution and purification in a near-zero cleanroom environment, achieving a cleanroom-level cleanliness. Furthermore, it utilizes the generative artificial intelligence (AIGC) model of the networked cloud computing service device 3 to understand the required clean air delivery rate (CADR) equivalent in the indoor space A. After the AIGC model's intelligent (AI) calculation determines the required CADR equivalent, it can determine the number of devices to be matched and the optimal CADR of the duct fan 21, thereby achieving real-time detection of air pollution and purification in a near-zero cleanroom environment, and optimizing the cost and operational efficiency of the near-zero cleanroom purification process.

[0157] like Figure 13 As shown, the cleanroom class required for indoor area A in this invention is ZAPClean room 1-12. Therefore, after the clean air and pollution intelligent networking mechanism system for controlling indoor air temperature and humidity determines the required equivalent of Clean Air Delivery Rate (CADR) in indoor area A through generative artificial intelligence model (AIGC) intelligent calculation, the number of indoor equipment and the optimal CADR of the duct fan 21 can be determined based on the required equivalent of the 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 the 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.

[0158] 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:

[0159] This intelligent networked clean air and pollution control system, which controls indoor air temperature and humidity, can calculate the required Clean Air Delivery Rate (CADR) equivalent for a 3-ping (approximately 13.3 square meters) space in Taipei to achieve a ZAPClean Room Level 9 cleanliness.

[0160] The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present 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.

[0161] 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:

[0162] 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.

[0163] As shown above, when the input location of indoor space A is Taipei and the required space volume, the generative artificial intelligence (AIGC) model of the networked cloud computing service device 3 can intelligently calculate the required equivalent Clean Air Delivery Rate (CADR) for 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 indoor equipment for near-zero air pollution cleanroom treatment is taken as 15000m³. 3 / h, therefore, the indoor equipment of this invention is matched with three gas exchange devices 2E and the fan 21 is set with an optimal clean air delivery rate (CADR) of 1000m³ / h. 3 The optimal Clean Air Delivery Rate (CADR) for a system equipped with 15 fan-filter units (FFUs) and a 2G duct fan is 800m³ / h. 3 / h, achieving the required clean air delivery rate (CADR) of 15000m³ / h for indoor equipment to perform near-zero air pollution cleanroom treatment. 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 equipment to be matched and the optimal clean air delivery rate (CADR) of the indoor equipment's air 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.

[0164] To understand the specific implementation of the clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity 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 11 As shown, the gas detector 1 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 then 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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 approximately the same as the vibration frequency of the piezoelectric plate 1223c, thereby 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.

[0173] 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.

[0174] See also Figure 2As shown, the aforementioned indoor equipment's fan 21 is activated under control to draw air pollutants through the filter assembly 22. 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 pollutants, thus achieving the effect of filtration and purification. It is worth noting that the HEPA filter in this case is HEPA 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 pollutants. The airflow path of the fan 21 is in the direction shown by the arrow. The filter assembly 22 is coated with a decomposition layer to chemically remove and sterilize the air pollutants. The decomposition layer can be activated carbon 22a, which removes organic and inorganic substances from the air pollutants. It removes colored and odorous substances. Notably, the activated carbon 22a in this case has a formaldehyde absorption capacity of over 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 assembly 22 can also be used in conjunction with a photochemical method to sterilize and remove air pollution. The photochemical irradiation is achieved through a photocatalyst unit consisting of a photocatalyst 22f and an ultraviolet lamp 22g. When the photocatalyst 22f is irradiated by the ultraviolet lamp 22g, light energy is converted into electrical energy, decomposing harmful substances in the air pollution and disinfecting it, thus achieving a filtration and sterilization effect. It is worth noting that the ultraviolet lamp 22g in this case has a power of 120mW or higher. The photochemical irradiation can also be achieved through a photoplasma unit consisting of a nanotube 22h. Irradiation of the air pollution by the nanotube 22h decomposes oxygen and water molecules in the air pollution into highly oxidizing photoplasma, forming an ion stream that destroys organic molecules. This removes volatile organic compounds (VOCs) from the air pollution, such as formaldehyde, toluene, and volatile organic compounds (VOCs). 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.

[0175] In summary, this invention provides a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity. 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 environments. The system includes at least one cold exchanger, at least one heat exchanger, at least one dehumidifier, and at least one humidifier, along with a networked cloud computing service device. Each of the cold exchanger, heat exchanger, dehumidifier, and humidifier is internally equipped with at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The gas detectors are electrically connected to the drive controller. The gas detectors receive control commands from the networked cloud computing service device via IoT communication and transmit them to the drive controller, forming an intelligent linkage system that instantly controls the fan to start operation. This system monitors indoor air quality, temperature, and humidity anytime and anywhere, and intelligently compares the monitored data to issue control commands to control the start-up of the air duct and adjust the airflow, effectively controlling the energy efficiency of the air conditioning unit. It also includes at least one gas exchange device and at least one purification and filtration device. The generative artificial intelligence (AIGC) model of the networked cloud computing service device uses the system's environmental detection parameters and equipment-enabled control to optimize the operating mode, resulting in an optimal balance of clean, comfortable, and energy-saving operation between the clean air and pollution intelligent network mechanism system that controls indoor air temperature and humidity, the gas exchange device, and the purification and filtration device. It records power consumption to optimize system operating costs, achieves near-zero air pollution purification and cleanroom treatment, and reaches cleanroom-level cleanliness, making it highly valuable for industrial applications.

Claims

1. A smart networked mechanism system for controlling indoor air temperature and humidity, comprising: Multiple gas detectors are set up in an indoor field and an outdoor field to detect air pollution gas and output air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information. At least one cold exchanger is installed in the indoor area, and at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller are installed inside. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to control the drive controller to start the fan. The polluted air is cleaned and introduced into the indoor area through the filter assembly. The system also includes a condensing element to perform cooling temperature exchange and transfer on the polluted air introduced by the fan, so as to regulate the gas temperature in the indoor area. At least one heat exchanger is installed in the indoor area, and at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller are installed inside. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to control the drive controller to start the fan. The polluted air is cleaned and introduced into the indoor area through the filter assembly. The device also includes a heating element to perform heating and temperature exchange transfer on the polluted air introduced by the fan, so as to regulate the gas temperature in the indoor area. At least one dehumidifier is installed in the indoor area, and is equipped with at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to control the drive controller to start the fan. The polluted air is cleaned and introduced into the indoor area through the filter assembly. The dehumidifier also includes a condenser coil and an evaporator coil to remove condensate moisture and transfer the temperature of the polluted air introduced by the fan, so as to regulate the temperature and humidity of the air in the indoor area. At least one humidifier is installed in the indoor area, and internally includes at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The drive controller is electrically connected to the gas detector, and the gas detector receives a control command to actuate the drive controller, thereby controlling the start-up and operation of the fan. The polluted air is cleaned and introduced into the indoor area through the filter assembly. A steam generating element is also included to generate steam and release it into the polluted air introduced by the fan, thereby regulating the temperature and humidity of the air in the indoor area. At least one 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 gas detector inside the cooling exchanger, the heating exchanger, the dehumidifier, and the humidifier receives the control command and controls the drive controller to activate the fan, thereby regulating the temperature and humidity of the air in the indoor area. It also guides the polluted air in the indoor area through the filter assembly for purification, providing a near-zero cleanroom treatment for circulating air pollution in the indoor area, achieving a cleanroom-level cleanliness.

2. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the gas temperature and humidity of the indoor field are adjusted to maintain at a temperature of 25℃±3℃ and a humidity of 50%±10%.

3. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1 further includes at least one gas exchange device, internally configured with at least one gas detector, 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. The gas detector receives the control command from the networked cloud computing service device via Internet of Things communication and transmits it to the drive controller to control the drive controller to actuate and control the start-up operation of the fan, thereby providing ventilation in the indoor area and providing positive pressure air intake into the indoor area.

4. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 3, wherein the gas exchange device is a fresh air unit.

5. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 3, wherein the gas exchange device is a total heat exchanger.

6. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 3, wherein the gas exchange device is a heating, ventilation and air conditioning (HVAC) unit.

7. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1 further includes at least one purification and filtration device, internally configured with at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The gas detector is electrically connected to the drive controller. The gas detector receives the control command from the networked cloud computing service device via Internet of Things communication and transmits it to the drive controller to control the actuation of the drive controller and thus control the start-up and operation of the fan, providing a cleanroom treatment for air pollution purification with near-zero air pollution in the indoor area through internal circulation.

8. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 7, 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, and at least one portable vacuum cleaner.

9. The clean air intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1 further includes at least one oxygen generator, internally configured with at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller. The gas detector is electrically connected to the drive controller. The gas detector receives the control command from the networked cloud computing service device via Internet of Things communication and transmits it to the drive controller to control the actuation of the drive controller and thus control the start-up operation of the fan. The system also includes an adsorption sieve, in which zeolite molecules adsorb nitrogen from the air introduced by the fan and separate oxygen, providing oxygen to the indoor space to regulate the carbon dioxide (CO2) and oxygen content in the indoor space, allowing sufficient oxygen to be breathed in the indoor space, creating a comfortable and safe environment, and maintaining safe breathing of clean air.

10. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claims 1, 3, 7 and 9, wherein the generative artificial intelligence (AIGC) model of the networked cloud computing service device utilizes the system's environmental detection parameters and equipment-enabled control to optimize the operating mode, achieving the best balance of cleanliness, comfort and energy saving produced by the cooling exchanger, the heating exchanger, the dehumidifier and the humidifier, the gas exchange device, the purification filter device and the oxygen generator, while the operating mode records power consumption to optimize system operating costs.

11. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the filter component is a filter with an MREV (minimum filtration efficiency value) of 8 or higher.

12. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the filter component is a high-efficiency particulate air filter (HEPA), the HEPA is HEPA 10 or higher, and the dust holding capacity is greater than 12000mg.

13. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the filter component incorporates a chemical method of sterilizing and removing the air pollution by coating a decomposition layer.

14. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 13, wherein the decomposition layer is activated carbon, and the formaldehyde absorption capacity of the activated carbon is greater than 1500mg.

15. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 13, wherein the decomposition layer is a chlorine dioxide cleanliness factor.

16. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 13, wherein the decomposition layer is a herbal protective layer of ginkgo and sumac.

17. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 13, wherein the decomposition layer is a silver ion.

18. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 13, wherein the decomposition layer is a zeolite.

19. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the filter component is combined with a light-irradiated chemical method to sterilize and remove the air pollution.

20. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 19, wherein the light irradiation is a photocatalyst unit consisting of a photocatalyst and an ultraviolet lamp.

21. The clean air and pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 19, wherein the power of the ultraviolet lamp is 120mw or higher.

22. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 19, wherein the light irradiation is a photoplasma unit of a nanotube.

23. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the filter component, in conjunction with a decomposition unit, chemically removes the air pollution through sterilization.

24. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 23, wherein the decomposition unit is a negative ion unit.

25. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 23, wherein the decomposition unit is a plasma ion unit.

26. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity 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 gas detection body, the microprocessor, and the communicator are packaged in the control circuit board as a whole and electrically connected, and the microprocessor controls the detection operation of the gas detection body, the gas detection body detects the air pollution source and outputs a detection signal, the microprocessor receives the detection signal, processes and outputs it, causing the microprocessor of the gas detector to generate gas detection data, which is provided to the communicator for external communication transmission.

27. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the Internet of Things communication is a wireless communication, which enables 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.

28. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity 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 through a wired line.

29. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claim 1, wherein the heat exchanger can remove heat equal to the floor area × 600 BTU (cooling capacity) per hour, and the noise level of the fan of the heat exchanger during operation is 35-50 dB.

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