Air pollution cleaning smart network mechanism system capable of controlling indoor air temperature and humidity

Abstract

A smart networked mechanism system for controlling indoor air temperature and humidity includes: several gas detectors, at least one cold exchanger, at least one heat exchanger, at least one dehumidifier, at least one humidifier, and at least one networked cloud computing service device. The cold exchanger, heat exchanger, dehumidifier, and humidifier are equipped with gas detectors, fans, filter components, and drive controllers. The networked cloud computing service device receives air pollution information, carbon dioxide pressure detection information, and gas temperature and humidity information detected by the several gas detectors. It intelligently calculates, compares, and issues control commands to control the operation of the fans in the cold exchanger, heat exchanger, dehumidifier, and humidifier to regulate the temperature and humidity of the indoor area, and to circulate polluted air within the indoor area for air purification.

Description

[Technical Field]

[0001] This invention relates to a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, and in particular to a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity in cleanroom treatment applications that achieves the best balance of cleanliness, comfort and energy saving in indoor spaces. [Previous Technology]

[0002] Particulate matter refers to solid particles or droplets contained in gas. Due to their extremely fine particle 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 (e.g., PM2.5), which is often too high. Monitoring the concentration of particulate matter has become increasingly important. However, because gas flows unpredictably with wind direction and volume, and most gas quality monitoring stations that currently detect particulate matter are fixed-point, it is impossible to confirm the current concentration of particulate matter in the surrounding area.

[0003] Furthermore, modern people are paying increasing attention to the quality of the air around them. 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 in these gases, can affect human health when exposed to the environment, and in severe cases, even endanger life. Therefore, the quality of environmental air has attracted the attention of various countries, and how to detect air quality to avoid and stay away from areas with poor air quality is a current important issue.

[0004] How to determine the quality of gas? It is feasible to use a gas sensor to detect the surrounding environment. If it can also provide real-time detection information to warn people in the environment so that they can take immediate precautions or escape, thus avoiding the health effects and harm caused by the gas in the environment, then using a gas sensor to detect the surrounding environment is a very good 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. 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. In addition to outdoor air quality, indoor air conditioning conditions and pollution sources are the main factors affecting indoor air quality. Intelligent and rapid detection of indoor air pollution sources in various indoor areas can effectively remove indoor air pollutants, creating a clean and safe breathing environment, and allowing for real-time monitoring of 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 achieved.

[0007] In view of this, 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, and at the same time provide an air pollution detection and purification near zero cleanroom treatment application that provides 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 intelligent network mechanism system for controlling indoor air temperature and humidity. This system 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. 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. This system instantly controls the fan to start operation, enabling real-time monitoring and adjustment of indoor air quality, temperature, and humidity. The system monitors the status and intelligently compares the data to issue control commands to control the start-up of the air duct and adjust the airflow, effectively controlling the energy-saving 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 networking mechanism system that controls indoor air temperature and humidity, along with the gas exchange device and purification and filtration device, achieving the best balance of cleanliness, comfort, and energy saving. It records power consumption to optimize system operating costs and realizes real-time detection and near-zero cleanroom treatment of air pollution, achieving a cleanroom-level cleanliness.

[0009] To achieve the above objectives, the present invention provides a clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity, comprising: a plurality of gas detectors, installed in an indoor area and an outdoor area to detect air pollution information and carbon dioxide (CO2) information. 2) Pressure detection information and gas temperature and humidity information; at least one cold exchanger, installed in the indoor area, and internally equipped with the gas detector, at least one fan, at least one filter assembly, and at least one drive controller, the drive controller being electrically connected to the gas detector and including a condensing element, to implement the cooling temperature exchange transfer of the air polluted gas introduced by the fan, so as to regulate the gas temperature in the indoor area; at least one heat exchanger, installed in the indoor area, and internally equipped with the gas detector, at least one fan, at least one filter assembly, and at least one drive controller, the drive controller being electrically connected to the gas detector and including a heating element, to implement the heating temperature exchange transfer of the air polluted gas introduced by the fan, so as to regulate the gas temperature in the indoor area; and at least one dehumidifier, installed in an indoor area and internally equipped with the gas detector, at least one fan, at least one filter assembly, and at least one drive controller, the drive controller being electrically connected to the gas detector and including a heating element, to implement the heating temperature exchange transfer of the air polluted gas introduced by the fan, so as to regulate the gas temperature in the indoor area; and at least one dehumidifier, installed in an indoor area and internally equipped with the gas detector, at least one fan, at least one filter assembly, and at least one drive controller, the drive controller being electrically connected to the gas detector and including a condensing element, to implement the cooling temperature exchange transfer of the air polluted gas introduced by the fan, so as to regulate the gas temperature in the indoor area; and at least one dehumidifier, installed in an indoor area, ..., and including a heating element The device is electrically connected to the gas detector and includes a condenser coil and an evaporator coil to remove moisture from the polluted air introduced by the fan and to transfer heat through heating, thereby regulating the air temperature and humidity in the indoor area; at least one humidifier is installed in the indoor area and internally includes 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 includes a steam generating element to generate steam and release it into the polluted air introduced by the fan, thereby regulating the air 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. The networked cloud computing service device receives air pollution information and carbon dioxide (CO2) data from the indoor and outdoor areas via Internet of Things communication. 2) The pressure detection information and the gas temperature and humidity information are stored to form an air pollution big data database. The control command is issued based on the intelligent comparison of the detected air pollution information, the carbon dioxide (CO2) pressure detection information, and the 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 to control the start-up and regulation of the air guide fan. This regulates the gas temperature and humidity in the indoor area and guides the polluted air in the indoor area through the filter assembly for purification, providing near-zero cleanroom treatment for the circulating air pollution in the indoor area, achieving a cleanroom-level cleanliness.

Implementation Method

[0011] 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 have various variations in different forms without departing from the scope of the present invention, and the descriptions and illustrations herein are for illustrative purposes only and not intended to limit the present invention.

[0012] As shown in Figure 1A, the present invention is a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity, comprising: a plurality of 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.

[0013] The aforementioned plurality of gas detectors 1 are installed in an indoor area A and an outdoor area B to detect air pollution gas and output air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information. The gas detectors 1 output air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information through Internet of Things (IoT) communication. It is worth noting that the aforementioned gas detectors 1 are equipped with a gas detection module. Please refer to Figures 3A and 3B. The gas detectors 1 can be configured with an external power supply terminal, which can be directly plugged into the power interface in the indoor area A to start operation and detect air pollution, carbon dioxide (CO2) pressure, and gas temperature and humidity information. Alternatively, as shown in Figure 3C, they can be gas detection modules without an external power supply terminal, which are directly connected to the indoor equipment and receive a control command to control the power supply of the indoor equipment to start 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.

[0014] The aforementioned cooling exchanger 2A is installed in an indoor area A and is equipped 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 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 air exchanger also includes a condensing element 24 to perform cooling temperature exchange and transfer on the polluted air introduced by the fan 21, so as to regulate the gas temperature in the indoor area A.

[0015] The aforementioned heat exchanger 2B is installed in an indoor area A and 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 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 cleanly introduced into the indoor area A through the filter assembly 22. The heat exchanger also includes a heating element 25 to transfer the temperature of the polluted air introduced by the fan 21, thereby regulating the gas temperature in the indoor area A.

[0016] As shown in Figures 1A and 1B, 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 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 air temperature and humidity in indoor area A. It is worth noting that the air temperature and humidity in indoor area A are maintained at 25°C ± 3°C and 50% ± 10%.

[0017] As shown in Figures 1A and 1C, the humidifier 2D is installed in an indoor area A and contains 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. The humidifier also includes a steam generating element 27 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. It is worth noting that the temperature and humidity of the air in the indoor area A are maintained at 25°C ± 3°C 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.

[0018] As shown in Figures 1A, 12A and 12B, 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 field A and outdoor field 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. The aforementioned Internet of Things (IoT) communication refers to a collective network connecting various devices and the technology that helps devices communicate with the cloud and between devices. IoT communication can be a wired communication, allowing connection to a networked cloud computing service device via a wired line, or a wireless communication, allowing connection to a networked cloud computing service device 3 via a wireless connection. The 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.

[0019] As can be seen from the above description, the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention receives control commands issued by the networked cloud computing service device 3 through the internal gas detector 1 of the cooling exchanger 2A, the heating exchanger 2B, the dehumidifier 2C and the humidifier 2D, and controls the drive controller 23 to actuate, thereby controlling the start-up and regulation operation of the duct fan 21, implementing the gas temperature and humidity regulation in the indoor area A, and guiding the polluted air in the indoor area A through the filter component 22 for clean treatment, providing the indoor area A with circulating air pollution purification to near zero cleanroom treatment, achieving a cleanroom level of cleanliness.

[0020] Of course, as shown in Figure 1A, 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.

[0021] As shown in Figures 1A and 1D, 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 (IoT) communication and transmits them to the drive controller 23 to control the actuation of the drive controller 23, thereby controlling the start-up and operation of the fan 21 to provide ventilation for the indoor area A and to provide positive pressure air intake into the indoor area A; wherein, the indoor area... Domain A is provided with at least one air intake C1 and at least one exhaust port C2. The gas exchange device 2E includes a flow channel 28, which has an air intake port 28a corresponding to the air intake port C1 in indoor domain A, a recirculation return air port 28b connecting to indoor domain A, and a filter duct 28c connecting to indoor domain A. The recirculation return air port 28b is provided with a gas exchange fan 29, and the filter duct 28c is equipped 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 and carbon dioxide (CO2) of indoor domain A and outdoor domain B. 2) Pressure detection information and gas temperature and humidity information: 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 equilibrium. That is to say, the safety value of the carbon dioxide (CO2) pressure detection information in indoor area A and outdoor area B must be the same. If zero equilibrium is not reached, a control command is sent 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 through 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 to achieve the zero equilibrium 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 detection information in indoor area A must be maintained between 400 and 600 PPM. Gas exchange device 2E can 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 whether the pressure difference of carbon dioxide (CO2) in indoor area A and outdoor area B has reached zero equilibrium. If zero equilibrium has not been reached, a control command is sent to the gas detector 1 of the gas exchange device 2E to receive and control the drive controller 23 to start the duct fan 21, continuously providing positive pressure air intake into indoor area A to implement ventilation operation in indoor area A and prevent air pollution from outdoor area B from entering indoor area A. When zero equilibrium is reached, a control command is sent to the gas detector 1 of the gas exchange device 2E to receive and control the drive controller 23 to stop the operation of the duct fan 21. This is how a smart networked clean air system controls indoor air temperature and humidity. When the gas exchange device 2E is activated to perform ventilation, the indoor space A must maintain a positive pressure above 0 Pa to prevent air pollution from the outdoor space B from entering the indoor space A. The gas detector 1 inside the purification and filtration device continuously receives control commands from the networked cloud computing service device 3, which in turn controls the drive controller 23 to activate the fan 21. This continuously circulates air pollution within the indoor space 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 pressure difference of carbon dioxide (CO2) between the indoor space A and the outdoor space B and finds it to reach zero, it sends a control command to the gas detector 1 inside the purification and filtration device. This command then controls the drive controller 23 to adjust the speed of the fan 21, 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.

[0022] As shown in Figure 1A, the above-mentioned 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 communication and transmits them to the drive controller 23 to control the drive controller 23 to activate and operate the fan 21, providing a cleanroom treatment for near-zero 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 device 2H, at least one smoke exhaust system 2I, and at least one portable vacuum cleaner 2J.

[0023] As shown in Figures 1A, 1E and 1F, the air purifier 2F is placed in the space of indoor area A. The networked cloud computing service device 3 sends control commands to the gas detector 1 inside the air purifier 2F via Internet of Things communication. The controller 23 controls the start-up of the fan 21 to draw polluted air from the space of indoor area A and filter it through the filter component 22. The purified air is then introduced into the space of indoor area A, causing the polluted air in the space of indoor area A to be drawn through the filter component 22 multiple times for air purification and cleanroom treatment to approach zero pollution.

[0024] As shown in Figures 1A and 1G, the aforementioned fan filter unit (FFU) 2G is built-in in indoor area A. The fan filter unit (FFU) 2G includes a guide 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. A fan 21 and a filter assembly 22 are arranged in the filter duct 28c. The networked cloud computing service device 3 issues control commands through the Internet of Things. The communication is received by the gas detector 1 inside the fan filter unit (FFU) 2G, which controls the start-up of the fan 21 to draw the polluted air in the indoor area A into the guide channel 28 through the recirculation return air inlet 28b, through the filter duct 28c, and through the filter assembly 22 for filtration and purification before being introduced into the space of the indoor area A. This causes the polluted air in the space of the indoor area A to be drawn through the guide channel 28 multiple times, effectively suppressing the gas backflow effect of the recirculation filtration and achieving air purification to zero cleanroom treatment.

[0025] As shown in Figure 1A, the above-mentioned exhaust device 2H is built-in in the indoor area A and corresponds to the exhaust port C2 to guide the air 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 through Internet of Things 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 through the filter component 22 for filtration and purification and discharges it to the outdoor area B to achieve near-zero air pollution in the indoor area A.

[0026] As shown in Figure 1A, when cooking food in the kitchen of indoor space A, serious air pollution will be generated relatively quickly. In order to avoid the air pollution generated in indoor space A from affecting human health and causing harm, the purification and filtration device can be set as a range hood system 2I, which is set in the kitchen of indoor space A. The range hood system 2I includes an exhaust channel 2Ia, which corresponds to the exhaust port C2 connecting to the outdoor space B, and is set above the cooking appliance H. The exhaust channel 2Ia is equipped with a fan 21, a filter component 22 and a drive controller 23. The range hood system 2I also includes a fume exhaust body 2Ib, which corresponds to the exhaust port C2 connecting to the outdoor space B, and is set above the cooking appliance H. At the front, a fan 21, a filter assembly 22, and a drive controller 23 are installed in the main exhaust unit 2Ib. Gas detectors 1 are installed in the exhaust duct 2Ia and the main exhaust unit 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 exhaust unit 2Ib via Internet of Things communication. The drive controller 23 controls the start-up of the fan 21 to draw air pollution from the kitchen in indoor area A into the exhaust duct 2Ia and the main exhaust unit 2Ib, where it is filtered and purified by the filter assembly 22 before being discharged to outdoor area B for near-zero air pollution cleanroom treatment.

[0027] As shown in Figures 1A and 1G, the aforementioned portable vacuum cleaner 2J 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 portable vacuum cleaner 2J, which in turn controls the controller 23 to activate the fan 21. This draws polluted air from the indoor space A, which is then purified by the filter assembly 22 to achieve near-zero cleanroom treatment. It is worth noting that the portable vacuum cleaner 2J is a robotic vacuum cleaner.

[0028] As can be seen from the above description, in the specific implementation of the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention, the networked cloud computing service device 3 receives the pressure detection information of carbon dioxide (CO2) in indoor field A from the internal gas detector 1 of the gas exchange device 2E, the gas detector 1 deployed in indoor field A, and the gas detector 1 deployed in outdoor field B through Internet of Things communication. Based on the pressure information of carbon dioxide (CO2) detected by each of the above, it intelligently compares the pressure difference of carbon dioxide (CO2) in indoor field A and outdoor field B, and performs the ventilation operation of indoor field A. The clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention can also adjust the carbon dioxide (CO2) and oxygen content in indoor field A by setting up the oxygen generating device 2K as shown in Figure 1A and Figure 1I, so that people in indoor field A can breathe enough oxygen, creating a comfortable and safe environment and maintaining safe breathing of clean air. It is worth noting that the aforementioned oxygen generating device 2K is internally equipped with at least one gas detector 1, at least one blower 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 23 to control the drive controller 23 to activate and operate the blower 21. The device also includes an adsorption sieve 20, in which zeolite molecules adsorb nitrogen from the air introduced by the blower 21 and separate oxygen, providing oxygen to the indoor area A. This regulates the carbon dioxide (CO2) and oxygen content in the indoor area A, allowing people in the indoor area A to breathe sufficient oxygen, creating a comfortable and safe environment, and maintaining safe access to clean air.

[0029] As shown in Figures 12A and 12B, 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 field B and indoor field A. As shown in Figure 1A, it receives communication information from indoor devices and transmits control commands. The wireless network cloud computing service module 31 receives air pollution information and carbon dioxide (CO2) pressure detection information from indoor field A and outdoor field B. 2) Pressure detection information and gas temperature and humidity information are transmitted to the cloud control service unit 32 for storage, forming an air pollution big data database. Intelligent calculations and comparisons with the air pollution data database are performed, and control commands are transmitted to the wireless network cloud computing service module 31. The wireless network cloud computing service module 31 then transmits the control start operation to the indoor air pollution treatment equipment. The device management unit 33 receives communication information from the indoor equipment through the wireless network cloud computing service module 31 for user login management and device binding management. It can also provide maintenance and management of the indoor equipment, automatic 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. This management information is provided to the application unit 34 for system control and management. The application unit 34 also receives air pollution information (carbon dioxide (CO2)) from the cloud control service unit 32. 2) The pressure detection information and gas temperature and humidity information are displayed and notified, allowing users to understand the real-time status of air pollution removal through mobile phones or communication devices. Users can also control the operation of the clean air pollution intelligent network mechanism system that controls indoor air temperature and humidity through the application unit 34 of their mobile phones or communication devices. The generative artificial intelligence model (AIGC) provides professionally generated data for the clean air pollution intelligent network mechanism system that controls indoor air temperature and humidity. The professionally generated data includes outdoor and indoor air pollution data of the building, indoor field data of the building, cleanroom class data, air purification system hardware specifications, air purification system software specifications, and user-generated data for the clean air pollution intelligent network mechanism system that controls indoor air temperature and humidity. User-generated data includes indoor field parameter data of the user's building, indoor field experimental measurement air pollution parameter data of the user's building, and indoor field HVAC ventilation rate parameter data of the user's building. The generative artificial intelligence model calculates, compares, and identifies the input professionally generated data and user-generated data to generate automatically generated data.The 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, information on the lowest initial setup cost of the air purification system, and information on the lowest operating cost of the air purification system. It is worth noting that the professionally generated building interior space data includes specifications for required building materials that are low-dust, low-emission, non-permeable, anti-static, seamless and rounded corner designs, airtight configurations, and positive pressure environments. The building interior space data includes specifications for required furniture that are seamless in structure, have smooth surfaces, and are made of anti-static, corrosion-resistant, and antibacterial materials. The building interior space data includes specifications for required lighting that uses cleanroom-free luminaires.

[0030] Furthermore, the generative artificial intelligence (AIGC) model 35 of the networked cloud computing service device 3 utilizes the system's environmental detection parameters and equipment-enabled control to optimize the operating mode, so as to achieve the best balance of cleanliness, comfort and energy saving in the cooling exchanger 2A, heating exchanger 2B, dehumidifier 2C 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.

[0031] As can be seen from the above description, the clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity of the present invention specifically realizes real-time detection of air pollution purification and near-zero cleanroom treatment, achieving a cleanroom-level cleanliness, and using the generative artificial intelligence (AIGC) model 35 of the networked cloud computing service device 3 to understand the equivalent of a clean air output (CADR) required in the indoor space A. After the generative artificial intelligence (AIGC) model 35 determines the equivalent of the required clean air output (CADR), it can determine the number of equipment matching and the optimal clean air output (CADR) of the duct fan 21 according to the required equivalent of the clean air output (CADR), realizing real-time detection of air pollution purification and near-zero cleanroom treatment, achieving cost setting and operational optimization benefits of near-zero cleanroom treatment.

[0032] As shown in Figure 13, the cleanroom level required for indoor area A of this invention is ZAPClean room 1~12. Therefore, after the clean air 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 (AIGC) model 35, the number of indoor equipment to be matched and the optimal clean air delivery rate (CADR) of the duct fan 21 can be determined according to the required equivalent of clean air delivery rate (CADR). This enables 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 clean air delivery rate (CADR) refers to the amount of clean air pollution that needs to be cleaned to near zero in indoor area A at that time by the clean air delivery rate (CADR) of the duct fan 21.

[0033] The following is an example illustrating a preferred embodiment of the clean air delivery rate (CADR) requirement equivalent in the indoor space A of the present invention:

[0034] This intelligent networked clean air and pollution control system, which controls indoor air temperature and humidity, only requires inputting the region of this indoor area A to 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 Clean Air Delivery Rate (CADR) equivalent?

[0035] The clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity of the present invention can intelligently calculate and analyze based on the big data database of the air pollution control system B, such as the equivalent comparison table of clean air output (CADR) required per cubic meter for cleanroom classes ZAPClean room 1~12 in Figure 13.

[0036] The equivalent clean air delivery rate (CADR) per cubic meter required for cleanroom classes ZAPClean room 1~12 of the present invention is as follows:

[0037] The required clean air delivery rate (CADR) per cubic meter for ZAPClean room 1 is equivalent to 195,000~370,000 m³ / h; for ZAPClean room 2, the equivalent is 58,000~115,000 m³ / h; for ZAPClean room 3, the equivalent is 17,500~35,000 m³ / h; for ZAPClean room 4, the equivalent is 5,200~10,000 m³ / h; and for ZAPClean room 5, the equivalent is 1,500~3,000 m³ / h. The required clean air delivery rate (CADR) per cubic meter for ZAPClean room 6 is 450~1000 m³ / h; for ZAPClean room 7, it is 135~300 m³ / h; for ZAPClean room 8, it is 60~135 m³ / h; for ZAPClean room 9, it is 35~80 m³ / h; and for ZAPClean room 10, it is 15~40 m³ / h. The required clean air delivery rate (CADR) per cubic meter for cleanroom class 11 is equivalent to 10~30 m³ / h; the required clean air delivery rate (CADR) per cubic meter for cleanroom class ZAPClean room 12 is equivalent to 3~10 m³ / h.

[0038] As can be seen from the above, when the input area of ​​indoor space A is Taipei and the required space volume, the generative artificial intelligence (AIGC) model 35 of the networked cloud computing service device 3 can intelligently calculate and determine the required equivalent of clean air output (CADR) for performing near-zero cleanroom treatment. Calculations show that the maximum PM2.5 value in Taipei over five years is 37, and the average value is 11.9. At this time, the average value of 11.9 falls in the average value 10~15 comparison table, and the ratio of the maximum value of 37 / average value of 11.9 is equal to 3.1, which falls in the ratio 3~4 of the 10~15 comparison table. This requires a ZAPClean room level 9 cleanliness. Therefore, the required equivalent of clean air output (CADR) per cubic meter for a ZAPClean room level 9 cleanliness in this indoor space area is 56.26 m3 / h. The required indoor space is 30 ping (268 m3) multiplied by 56.26 m3 / h, therefore the required Clean Air Delivery Rate (CADR) for this indoor space is 15078 m3 / h. Thus, the required equivalent CADR for indoor equipment performing near-zero air pollution cleanroom treatment is taken as 15000 m3 / h. Therefore, the optimal CADR for indoor equipment in this invention is set to 1000 m3 / h with three gas exchange units 2E and 15 fan filter units (FFU) 2G, with an optimal CADR of 800 m3 / h, achieving the required equivalent CADR of 15000 m3 / h for indoor equipment performing near-zero air pollution cleanroom treatment. 3 / h, but not limited to this. Of course, the equivalent of a clean air output (CADR) required in the indoor space A can be determined by the required equivalent of the clean air output (CADR) to determine the number of indoor equipment to be matched and the optimal clean air output (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 of the cleanroom level and the cost-effectiveness of the near-zero cleanroom treatment.

[0039] To understand the specific implementation of the clean air pollution intelligent networking mechanism system for controlling indoor air temperature and humidity provided by the present invention, the following is a detailed description of the gas detection module structure of the gas detector 1 of the present invention. Please refer to Figures 3A to 11. 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, the microprocessor 13, and the communicator 14 are packaged in the control circuit board 11 and are electrically connected to each other. The microprocessor 13 and the communicator 14 are disposed on the control circuit board 11, and the microprocessor 13 controls the drive signal of the gas detection body 12 to start the detection operation. Thus, 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 external transmission to the networked cloud computing service device 3 through Internet of Things (IoT) communication.

[0040] Referring again to Figures 4A to 9A, 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 mounting area 1213, an air inlet groove 1214, an air guide assembly support 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 mounting 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 mounting 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 mounting 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 is passed 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 is correspondingly arranged with 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.

[0041] The aforementioned laser assembly 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 assembly 124 and particle sensor 125 relative to the base 121, the drive circuit board 123 is deliberately omitted. The laser assembly 124 is housed within the laser mounting 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 assembly 124. Furthermore, the laser assembly 124 corresponds to the light-transmitting window 1214b, through which the laser light emitted by the laser assembly 124 passes, illuminating the air intake groove 1214. The beam path emitted by the laser assembly 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 of light through the light-transmitting window 1214b into the air intake groove 1214. The detection data in the gas in the air intake groove 1214 is illuminated. When the beam of light comes into contact with the gas, it will scatter and generate a projected light spot, so that the particle sensor 125 is positioned in its orthogonal direction and receives the projected light spot generated by the scattering to perform calculations to obtain the gas detection data.

[0042] The piezoelectric actuator 122 described above 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 air inlet groove 1214. When the piezoelectric actuator 122 is actuated, gas is drawn from the air inlet groove 1214 into the piezoelectric actuator 122, and the gas is supplied through the vent hole 1215a of the gas guide assembly support area 1215 into the air outlet groove 1216. Additionally, the drive circuit board 123 described above covers 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.

[0043] The piezoelectric actuator 122 described above 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 present invention, the shape of the suspension plate 1221a can be one of a square, a graphic, an ellipse, a triangle, or a polygon.

[0044] 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. The actuator 1223 is stacked on the cavity frame 1222, and defines a resonant cavity 1226 between itself, the jet orifice plate 1221, and the suspension plate 1221a. The insulating frame 1224 is stacked on the actuator 1223, and its appearance is similar to that of the cavity frame 1222. The conductive frame 1225 is stacked on the insulating frame 1224, and its appearance is similar to that of the insulating frame 1224. The conductive frame 1225 has a conductive pin 1225a and a conductive electrode 1225b 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 further includes a piezoelectric carrier plate 1223a, an adjusting resonance plate 1223b, and a piezoelectric plate 1223c. The piezoelectric carrier plate 1223a is stacked on the cavity frame 1222. The adjusting resonance plate 1223b is stacked on the piezoelectric carrier plate 1223a. The piezoelectric plate 1223c is stacked on the adjusting resonance plate 1223b. The adjusting 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 1225b of the conductive frame 1225. In a preferred embodiment of the present invention, both the piezoelectric carrier plate 1223a and the adjusting 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.

[0045] To further explain, the adjusting resonant plate 1223b is located between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a, serving 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.

[0046] Referring to Figures 7A, 7B, 8A, 8B, and 9A, the jet nozzle 1221, cavity frame 1222, actuator 1223, insulating frame 1224, and conductive frame 1225 are sequentially stacked 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 for gas flow. An airflow chamber 1227 is formed between the jet nozzle 1221 and the bottom surface of the air guide assembly support area 1215. 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 using the vibration frequency of the gas in the resonant chamber 1226 to make it close to the vibration frequency 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.

[0047] By repeating the actions shown in Figures 9B and 9C, the piezoelectric plate 1223c reciprocates. According to the principle of inertia, the gas pressure inside the resonant chamber 1226 after exhaust is lower than the equilibrium gas pressure, which guides the gas to re-enter the resonant chamber 1226. In this way, the vibration frequency of the gas in the resonant chamber 1226 is controlled to be similar to the vibration frequency of the piezoelectric plate 1223c, so as to generate the Helmholtz resonance effect and realize the high-speed and large-volume transmission of gas. The gas enters through the air inlet 1214a of the outer cover 126, enters the air inlet groove 1214 of the base 121 through the air inlet 1214a, and flows to the position of the particle sensor 125. Furthermore, the piezoelectric actuator 122 continuously drives the intake gas through the intake path, facilitating the rapid and stable flow of external gas. The gas passes above the particle sensor 125. At this time, the laser assembly 124 emits a beam of light through the light-transmitting window 1214b into the intake groove 1214. The intake groove 1214 passes above the particle sensor 125. When the beam of light 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 information such as the particle size and concentration of the suspended particles 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 air guide assembly bearing area 1215, and into the exhaust 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.

[0048] 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 further 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.

[0049] Referring again to Figure 2, the air guide fan 21 of the aforementioned indoor equipment is activated under control to draw air pollutants through the filter assembly 22 for filtration. The filter assembly 22 can be a filter with an MREV 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, thereby introducing air pollutants and achieving the effect of filtration and purification. It is worth noting that the high-efficiency particulate air filter (HEPA) in this case is a high-efficiency particulate air filter (HEPA). The filter assembly 22 has a dust holding capacity greater than 12000mg and can be further combined with physical or chemical materials to provide a sterilization effect on air pollution. The airflow path of the fan 21 is as shown by the arrow. The filter assembly 22 combines a chemical method of chemically removing air pollution by coating a decomposition layer. The decomposition layer can be activated carbon 22a, which removes organic and inorganic substances from the air pollution, as well as colored and odorous substances. It is worth noting that the formaldehyde absorption capacity of the activated carbon 22a in this case is greater than 1500mg. The decomposition layer can be a chlorine dioxide cleaning agent 2. 2b. The inhibition rate of viruses, bacteria, fungi, influenza A virus, influenza B virus, enterovirus, and norovirus in air pollution reaches over 99%, helping to reduce cross-infection of viruses. The decomposition layer can be a herbal protective layer of ginkgo and Japanese sumac 22c, 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, it converts light energy 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. Irradiating the air pollution through 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). VOCs and other gas molecules 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 chemically remove air pollutants through sterilization. The decomposition unit can be a negative ion unit 22i, which causes the particles contained in the introduced air pollutants to be positively charged and attached to the negatively charged particles, thereby achieving the effect of filtration and sterilization of the introduced air pollutants. The decomposition unit can be a plasma ion unit 22j, which causes the oxygen molecules and water molecules contained in the air pollutants to ionize into cations (H+) and anions (O2-) through plasma ions. After the substances with water molecules attached to the ions attach to the surface of viruses and bacteria, they will be converted into highly oxidizing active oxygen (hydroxyl, OH group) under the action of chemical reaction, thereby taking away the hydrogen from the surface proteins of viruses and bacteria and oxidizing and decomposing them, thereby achieving the effect of filtration and sterilization of the introduced air pollutants.

[0050] In summary, the present invention provides a clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity. It utilizes a plurality of 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 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. This system instantly controls the fan to start operation, enabling real-time monitoring of indoor air quality and temperature and humidity adjustment, and intelligent adjustment based on the monitoring status. By comparing and issuing control commands to control the start-up operation of the air duct and the adjustment of the air volume, the energy-saving efficiency of the air conditioning unit is effectively controlled. 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 operation mode. This results in the clean air pollution intelligent networking mechanism system that controls indoor air temperature and humidity, and the gas exchange device and purification and filtration device to achieve the best balance of clean, comfortable and energy-saving operation mode. It records power consumption to optimize system operating costs, realizes real-time detection of air pollution purification and near-zero cleanroom treatment, and achieves cleanroom-level cleanliness, which has great industrial application value. [Simplified Explanation of the Diagram]

[0010] Figure 1A is an embodiment of the clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity of the present invention in an indoor field. Figure 1B is a schematic diagram of the dehumidifier of the present invention. Figure 1C is a schematic diagram of the humidifier of the present invention. Figure 1D is a schematic diagram of the gas exchange device of the present invention. Figure 1E is a schematic diagram of the air purifier of the indoor purification and filtration device of the present invention. Figure 1F is a cross-sectional schematic diagram of the air purifier of the indoor purification and filtration device in Figure 1E of the present invention. Figure 1G is a schematic diagram of the fan filter unit (FFU) of the indoor purification and filtration device of the present invention. Figure 1H is a cross-sectional schematic diagram of the vacuum cleaner of the indoor purification and filtration device in Figure 1A of the present invention. Figure 1I is a cross-sectional schematic diagram of the oxygen generator of the present invention. Figure 2 is a schematic diagram of the assembly relationship of the filter components of the indoor air pollution treatment equipment of the present invention. Figure 3A is a three-dimensional appearance schematic diagram of the gas detector of the present invention. Figure 3B is a three-dimensional appearance schematic diagram of the gas detector of the present invention from another angle. Figure 3C is a schematic diagram of the appearance of the gas detection module installed inside the gas detector of the present invention. Figure 4A is a three-dimensional schematic diagram (I) of the gas detection main body assembly of the present invention. Figure 4B is a three-dimensional schematic diagram (II) of the gas detection main body assembly of the present invention. Figure 4C is a three-dimensional exploded schematic diagram of the gas detector of the present invention. Figure 5A is a three-dimensional schematic diagram (I) of the base of the present invention. Figure 5B is a three-dimensional schematic diagram (II) of the base of the present invention. Figure 6 is a three-dimensional schematic diagram (III) of the base of the present invention. Figure 7A is an exploded three-dimensional schematic diagram of the piezoelectric actuator and base of the present invention. Figure 7B is a three-dimensional schematic diagram of the piezoelectric actuator and base assembly of the present invention. Figure 8A is a three-dimensional exploded schematic diagram (I) of the piezoelectric actuator of the present invention. Figure 8B is a three-dimensional exploded schematic diagram (II) of the piezoelectric actuator of the present invention. Figure 9A is a cross-sectional schematic diagram (I) of the piezoelectric actuator of the present invention. Figure 9B is a cross-sectional schematic diagram (II) of the piezoelectric actuator of the present invention. Figure 9C is a cross-sectional schematic diagram (III) of the piezoelectric actuator of the present invention. Figure 10A is a cross-sectional view (I) of the gas detection main body assembly. Figure 10B is a cross-sectional view (II) of the gas detection main assembly. Figure 10C is a cross-sectional view (III) of the gas detection main assembly. Figure 11 is a schematic diagram of the gas detector transmission of the present invention. Figures 12A and 12B are schematic diagrams of the networked cloud computing service device architecture of the present invention. Figure 13 is an equivalent comparison table of the clean air output (CADR) required per cubic meter for cleanroom classes ZAPClean room 1~12 of the present invention.

Claims

1. A clean air intelligent network mechanism system for controlling indoor air temperature and humidity, comprising: a plurality of gas detectors, disposed in an indoor area and an outdoor area, for detecting a polluted gas and outputting air pollution information, carbon dioxide (CO2) pressure detection information, and gas temperature and humidity information; at least one cold exchanger, disposed in the indoor area, and internally comprising at least one gas detector, at least one fan, at least one filter assembly, and at least one drive controller, wherein the drive controller is electrically connected to the gas detector and includes a condensing element for cooling and temperature exchange transfer of the polluted gas introduced by the fan, thereby regulating the gas temperature in the indoor area; At least one heat exchanger is installed in the indoor area and contains 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 includes a heating element to perform heating and temperature exchange transfer on the polluted air introduced by the fan, thereby regulating the gas temperature in the indoor area. At least one dehumidifier is installed in the indoor area and contains 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 includes a condenser coil and an evaporator coil to perform condensation removal and heating and temperature exchange transfer on the polluted air introduced by the fan, thereby regulating the gas temperature and humidity 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 includes a steam generating element to generate steam that is released into the polluted air introduced by the fan, thereby regulating the air temperature and humidity in the indoor area. At least one networked cloud computing service device is also included, comprising 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 via IoT communication, stores this 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 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 and regulate the start-up of the air duct, thereby regulating the gas temperature and humidity in the indoor area and guiding the polluted air in the indoor area through the filter assembly for purification, providing near-zero cleanroom treatment for circulating air pollution in the indoor area, achieving a cleanroom-level cleanliness. The generative artificial intelligence (AIGC) model intelligence (AI) of the networked cloud computing service device performs calculations based on a large database containing a table of equivalent clean air delivery rates (CADR) required for multiple cleanroom levels, to determine the equivalent of a required CADR for the indoor area, and determines the number of devices to be arranged in the indoor area and the CADR of the air duct based on the required CADR equivalent.

2. The clean air and 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°C ± 3°C and a humidity of 50% ± 10%.

3. The clean air 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 assembly, and at least one drive controller. The gas detector is electrically connected to the drive controller. The gas detector receives control commands from the networked cloud computing service device via Internet of Things communication and transmits them to the drive controller to control the drive controller to activate and operate the fan, thereby providing ventilation in the indoor area and providing positive pressure air intake in 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, and 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 control the start-up and operation of the fan, providing a cleanroom treatment for near-zero air pollution purification through internal circulation in the indoor area.

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 control commands from the networked cloud computing service device via Internet of Things communication and transmits them to the drive controller to control the actuation of the drive controller and 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. A clean air pollution intelligent network mechanism system for controlling indoor air temperature and humidity as described in claims 1, 3, 7 or 9, wherein the generative artificial intelligence (AIGC) model of the networked cloud computing service device optimizes the operating mode by utilizing the system's environmental detection parameters and equipment-enabled control.

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 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) of grade 10 or higher, with a dust holding capacity 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 removing air pollution by means of a permeation coating and 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 1500 mg.

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 cleaning agent.

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 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 20, wherein the power of the ultraviolet lamp is 120mw or more.

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

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 networking 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 and processes it and outputs it, causing the microprocessor of the gas detector to generate gas detection data and provide it to the communicator for external communication transmission.

27. The clean air 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 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.

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 for communicating with the networked cloud computing service device via a wired line.

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

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