Intelligent water purification system for indoor areas

Abstract

The indoor area environment responds quickly to real-time environmental changes, optimizing the system's energy efficiency, maintaining optimal air quality, continuously creating a clean and healthy air environment in indoor areas, and reducing the impact of harmful air pollutants on human health. [Solution] The network-connected cloud computing service device automatically activates the air pollution purification treatment device based on continuous monitoring of ambient air quality by a gas detection module. The network-connected cloud computing service device includes an AI intelligent computing platform. The AI ​​intelligent computing platform features AI intelligent control, intelligent energy management, and fault diagnosis function technologies.

Description

[Technical Field]

[0001] The present invention relates to the fields of air purification and intelligent control, and more particularly to an intelligent cleanroom treatment system for indoor areas, which aims to provide an intelligent purification system for indoor areas that satisfies the requirements of safety and comfort for indoor area environments. [Background technology]

[0002] With the worsening of air pollution and the increase in pollutants in modern urban environments (especially PM2.5), the risk of otitis media, cancer, and brain dysfunction is increasing, particularly in infants and young children with underdeveloped immune systems. Therefore, a clean air environment is extremely important for healthy human development. However, conventional air purification systems struggle to achieve real-time and accurate air quality control, and they cannot automatically adjust in response to changes in the indoor environment to keep indoor air pollution levels as close to zero as possible. Thus, there is an urgent need for an intelligent purification system for indoor areas that can continuously and intelligently monitor and dynamically adjust indoor air quality. [Overview of the Initiative] [Problems that the invention aims to solve]

[0003] The main objective of this invention is to provide an intelligent air purification system for indoor areas that combines efficient air purification technology with artificial intelligence control to achieve automatic adjustment of indoor air quality and create a safe and clean breathing environment in indoor areas. [Means for solving the problem]

[0004] To achieve the above objectives, a broad embodiment of the present invention provides an intelligent air purification system for indoor areas, comprising a plurality of gas detection modules, at least one air pollution purification treatment device, and a network-connected cloud computing service device. The plurality of gas detection modules are installed in indoor and outdoor areas, detect air pollution, and output air quality data via the Internet of Things (IoT) communication. The at least one air pollution purification treatment device is installed in the indoor area and internally comprises at least one of the gas detection modules, at least one air duct, at least one filtration component, and at least one host-driven controller. The gas detection modules are electrically connected to the host-driven controller and receive control commands via the Internet of Things communication to control the activation operation of the air duct and perform complete circulating air pollution purification / cleanroom treatment in the indoor area. The network-connected cloud computing service device receives the air quality data output from the gas detection modules via the Internet of Things and performs real-time monitoring and analysis based on the collected air quality data. The network-connected cloud computing service device collects and monitors the air quality data in real time, selectively and intelligently transmits control commands to the gas detection module based on the analysis results of the air quality data, controls the host drive controller to control the opening and closing of the air duct, and dynamically adjusts the operating frequency and output airflow of the air duct, thereby performing complete purification of circulating air pollution and cleanroom treatment in the indoor area, and thereby achieving a cleanroom level of cleanliness in the indoor area. [Brief explanation of the drawing]

[0005] [Figure 1A] This is a schematic diagram of the intelligent air purification system for indoor areas according to the present invention. [Figure 1B] This is a schematic diagram showing the structure of the air pollution treatment apparatus of the present invention. [Figure 1C]It is a diagram (one) showing an example of the usage state of the intelligent purification system for indoor areas of the present invention. [Figure 1D] It is a diagram (two) showing an example of the usage state of the intelligent purification system for indoor areas of the present invention. [Figure 1E] It is a diagram (three) showing an example of the usage state of the intelligent purification system for indoor areas of the present invention. [Figure 2A] It is a schematic diagram showing the control configuration of the gas detection module of the intelligent purification system for indoor areas of the present invention. [Figure 2B] It is a schematic diagram of the gas exchanger of the air pollution purification treatment device of the present invention. [Figure 2C] It is a schematic diagram of the cleaner of the air pollution purification treatment device of the present invention. [Figure 2D] It is a cross-sectional schematic diagram of the cleaner of the air pollution purification treatment device of the present invention shown in FIGS. 2A and 2C. [Figure 2E] It is a schematic diagram of the fan filter unit (FFU) of the air pollution purification treatment device of the present invention. [Figure 2F] It is a cross-sectional schematic diagram of the humidity control device of the air pollution purification treatment device of the present invention shown in FIG. 2A. [Figure 2G] It is a schematic diagram showing the process of controlling the intake of positive pressure air by comparing the carbon dioxide (CO2) pressure difference between the indoor area and the outdoor area through the network-connected cloud computing service device by the gas exchanger of the present invention. [Figure 2H] It is a schematic diagram showing the assembly relationship of the filter components of the air pollution purification treatment device of the present invention. [Figure 3A] It is a three-dimensional external appearance schematic diagram of the gas detection module of the present invention. [Figure 3B] It is a three-dimensional external appearance schematic diagram of the gas detection module from another perspective of the present invention. [Figure 4A] It is a three-dimensional assembly schematic diagram (one) of the gas detection body of the present invention. [Figure 4B] It is a three-dimensional assembly schematic diagram (two) of the gas detection body of the present invention. [Figure 4C]This is a three-dimensional exploded schematic diagram of the gas detection module of the present invention. [Figure 5A] This is a three-dimensional schematic diagram (one) of the base of the present invention. [Figure 5B] This is a three-dimensional schematic diagram (two) of the base of the present invention. [Figure 6] This is a three-dimensional schematic diagram (three) of the base of the present invention. [Figure 7A] This is a three-dimensional schematic diagram of the disassembled piezoelectric actuator and the base of the present invention. [Figure 7B] This is a three-dimensional schematic diagram of the assembled piezoelectric actuator and the base of the present invention. [Figure 8A] This is a three-dimensional exploded schematic diagram (one) of the piezoelectric actuator of the present invention. [Figure 8B] This is a three-dimensional exploded schematic diagram (two) of the piezoelectric actuator of the present invention. [Figure 9A] This is a cross-sectional schematic diagram (one) of the operation of the piezoelectric actuator of the present invention. [Figure 9B] This is a cross-sectional schematic diagram (two) of the operation of the piezoelectric actuator of the present invention. [Figure 9C] This is a cross-sectional schematic diagram (three) of the operation of the piezoelectric actuator of the present invention. [Figure 10A] This is an assembled cross-sectional view (one) of the gas detection body. [Figure 10B] This is an assembled cross-sectional view (two) of the gas detection body. [Figure 10C] This is an assembled cross-sectional view (three) of the gas detection body. [Figure 11] This is a configuration diagram of the network connection type cloud computing service device of the present invention. [Figure 12] This is a schematic diagram showing the cleanliness levels of Class 7 to 12 of the intelligent purification system for indoor areas of the present invention by air pollution detection and complete purification treatment.

Embodiments for Carrying Out the Invention

[0006] Embodiments illustrating the features and advantages of the present invention will be described in detail in the following description. The present invention can have various variations in different embodiments, all of which will not depart from the scope of the invention, and it should be understood that the description and drawings are used essentially for illustrative purposes and are not intended to limit the invention.

[0007] As shown in Figure 1A, the present invention is an intelligent purification system for an indoor area, comprising a plurality of gas detection modules 1, at least one air pollution purification treatment device 2, at least one network-connected cloud computing service device 3, and at least one central control computer control device 4. The network-connected cloud computing service device 3 receives air quality data output from the gas detection modules 1 via the Internet of Things, analyzes it using an AI intelligent computing platform 35 included in the network-connected cloud computing service device 3, and issues intelligent control commands based on the analysis results to automatically adjust the operating mode of the air pollution purification treatment device 2, thereby performing complete circulating air pollution purification and cleanroom treatment in the indoor area, and thereby the indoor area A (as shown in Figures 1C, 1D, and 1E) achieves a cleanroom level of cleanliness.

[0008] The gas detection module 1 described above is installed in indoor and outdoor areas and detects air quality data such as suspended particulate matter (PM1, PM2.5, PM10), carbon dioxide (CO2) concentration, temperature, and humidity. Furthermore, as shown in Figure 1C, multiple gas detection modules 1 are placed in indoor area A and outdoor area B to detect air pollution and output air quality data via the Internet of Things (IoT) communication. The air quality data includes suspended particulate matter (PM1, PM2.5, PM10), carbon dioxide (CO2) concentration, temperature, and humidity.

[0009] As shown in Figures 1C and 2A, the air pollution purification treatment device 2 includes a gas exchanger 2a, a purifier 2b, a fan filter unit (FFU) 2c, an exhaust fan 2d, a heating and cooling device 2e, and a humidity control device 2f, and can be installed in the indoor area A as a built-in or plug-in device. The gas exchanger 2a prevents air pollution from entering the indoor area A by providing ventilation and positive pressure air intake. The purifier 2b, fan filter unit (FFU) 2c, and exhaust fan 2d perform complete air pollution purification and cleanroom treatment in the indoor area A. The heating and cooling device 2e and humidity control device 2f adjust the temperature and humidity of the indoor area A. Furthermore, the air pollution purification treatment device 2 contains at least one gas detection module 1, at least one air guide device 21, at least one filtration component 22, and at least one host drive controller 23. The gas detection module 1 is electrically connected to the host drive controller 23, receives control commands via the Internet of Things (IoT) communication, and transmits them to the host drive controller 23 to control the startup operation of the air guide device 21. As a result, the gas detection module 1 automatically performs air filtration, ventilation, temperature and humidity control, and sterilization operations based on control commands from the network-connected cloud computing service device 3, enabling complete purification of circulating air pollution and cleanroom treatment in indoor area A.

[0010] As shown in Figure 11, the network-connected cloud computing service device 3 includes a wireless network cloud computing service module 31, a cloud control service unit 32, a device management unit 33, an application unit 34, and an AI intelligent computing platform 35. The wireless network cloud computing service module 31 receives air quality data from outdoor area B and indoor area A, receives communication information from the air pollution purification device 2, and issues control commands. The wireless network cloud computing service module 31 transmits the received air quality data information from indoor area A and outdoor area B to the cloud control service unit 32, forms and stores an air pollution big data database, performs intelligent calculations, compares the air pollution database, issues control commands and transmits them back to the wireless network cloud computing service module 31, and transmits them to the air pollution purification device 2 via the wireless network cloud computing service module 31 to control its startup operation. The device management unit 33 receives communication information of the air pollution purification device 2 via the wireless network cloud computing service module 31 for user login management and device binding management, and can provide management information to the application unit 34 for system control management, such as maintenance management of the air pollution purification device 2, automatic anomaly detection, analysis, processing and improvement, control and inspection measurement of whether cleanroom level cleanliness requirements are met, customer request feedback, and hardware and software technology improvement and modification mechanisms. The application unit 34 displays and notifies the user of air quality data information acquired by the cloud control service unit 32, so that the user can understand the air pollution removal status in real time via a mobile phone or communication device and control the operation of the intelligent purification system for indoor area A via the application unit 34 on the mobile phone or communication device.The AI ​​intelligent computing platform 35 receives and analyzes air quality data from the gas detection module 1 via Internet of Things technology, generates control commands based on the analysis results, and automatically adjusts the operating mode of the air pollution purification device 2 by enabling automatic control and optimization of the air pollution purification device 2.

[0011] The AI ​​intelligent computing platform 35 described above is equipped with AI intelligent control, intelligent energy management, and automatic fault diagnosis functions. AI intelligent control performs calculations based on air quality data, automatically adjusting parameters such as airflow rate and purification mode through a predetermined algorithm. Based on the pollution status of air quality data (e.g., PM2.5) detected in real time indoors, it accurately controls the operation of the air pollution purification device 2, optimizing the system's energy efficiency and maintaining optimal air quality. Intelligent energy management dynamically adjusts energy usage based on the operating status of indoor area A and the air pollution purification device 2, accurately controlling it to meet human health needs and maintain indoor area A within an optimal temperature and humidity range. Furthermore, when the air pollution purification device 2 is idle, it automatically reduces power consumption, effectively saving energy and minimizing energy consumption. Automatic fault diagnosis automatically generates a report, notifies the user, issues a rapid warning, and suggests maintenance if an abnormality occurs in the operation of the air pollution purification device 2. This allows for immediate monitoring of the device's operating status, immediate maintenance and repair, and prediction of potential failures. In particular, the automatic cleaning of the filtration components 22 and the air passage 24 reduces the need for daily maintenance, enabling the device to operate efficiently and over the long term.

[0012] As shown in Figures 1A and 1B, the central control computer 4 receives control commands from the network-connected cloud computing service device 3 via the Internet of Things (IoT) and transmits them to the gas detection module 1 of the air pollution purification treatment device 2, thereby controlling the startup operation of the air duct 21. Alternatively, the central control computer 4 has edge computing capabilities and receives, calculates, and analyzes air quality data detected by the gas detection module 1 of each air pollution purification treatment device 2 via the Internet of Things (IoT). Based on the analysis results, it generates control commands and transmits these control commands directly to the gas detection module 1 of the air pollution purification treatment device 2 via the Internet of Things (IoT), thereby controlling the startup operation of the air duct 21 and achieving automatic control and optimization of the air pollution purification treatment device 2.

[0013] The above-mentioned Internet of Things communication refers to a collective network connecting various devices and technology that supports mutual communication between devices and between the cloud and devices. The Internet of Things communication may also be wired communication for connecting and communicating with the network-connected cloud computing service device 3 via a wired line. The Internet of Things communication may also be wireless communication for connecting and communicating with the network-connected cloud computing service device 3 via a wireless connection. The wireless communication may be any of the following: a Wi-Fi module, a Bluetooth® module, a radio frequency identification module, or a near-field communication module.

[0014] Refer to Figures 3A and 3B. The gas detection module 1 may be configured with an external power terminal, which can be plugged directly into the power interface in indoor area A to start operation and detect air quality data information such as air pollution, carbon dioxide (CO2) concentration, temperature, and humidity. Alternatively, as shown in Figure 4A, the gas detection module may be configured without an external power terminal, directly integrated into the air pollution purification device 2 and electrically connected to it, receiving control commands and controlling the power supply of the air pollution purification device 2, thereby controlling the startup operation of the air guide device 21.

[0015] As shown in Figure 2A, the gas detection module 1 includes a control circuit board 11 and a gas detection unit 12. The gas detection unit 12 detects air pollution, carbon dioxide (CO2) concentration, temperature, and humidity, and outputs the air quality data. The control circuit board 11 collects, calculates, analyzes, and outputs the air quality data to form an input serial communication (IIC) signal. The network-connected cloud computing service device 3 receives and analyzes the air quality data in real time and outputs a general-purpose asynchronous transceiver (UART) signal and a general-purpose input / output (GP I / O) signal to the host drive controller 23.

[0016] The control circuit board 11 includes a power converter 111, at least one connection interface 112, a microcontroller (MCU) 113, and a wireless communication device 114. The power converter 111 divides and modulates a DC voltage, outputs the required DC voltage, and supplies this required DC voltage to the gas detection unit 12 for startup operation and to the host drive controller 23 for startup operation via at least one connection interface 112. The microcontroller (MCU) 113 is connected to the gas detection unit 12 via the connection interface 112 and forms the serial communication (IIC) signals for input to calculate and analyze the output air quality data. It is also connected via another connection interface 112 and outputs general-purpose asynchronous transceiver (UART) signals and general-purpose input / output (GP I / O) signals for control. The wireless communication device 114 receives air quality data and transmits it to the network-connected cloud computing service device 3 via wireless communication. The network-connected cloud computing service device 3 collects and analyzes air quality data, monitors it in real time, intelligently selects control commands, receives them via the wireless communication device 114, and transmits them to the microcontroller (MCU) 113. It then outputs general-purpose asynchronous transceiver (UART) signals and general-purpose input / output (GP I / O) signals to control the host drive controller 23. This controls the host drive controller 23 to activate the air duct 21 and dynamically adjust the operating frequency and output airflow efficiency of the air duct 21.

[0017] Furthermore, the gas detection module 1 within the air pollution purification treatment device 2 is further equipped with a wired communication connection port 13. The wired communication connection port 13 is electrically connected to the control circuit board 11 via a connection interface 112, and transmits the received air quality data to the network-connected cloud computing service device 3 via wired communication with the outside. The device collects and analyzes the air quality data, monitors it in real time, intelligently selects control commands, and transmits them to the microcontroller (MCU) 113 via the wired communication connection port 13. The microcontroller (MCU) 113 outputs general-purpose asynchronous transceiver (UART) signals and general-purpose input / output (GP I / O) signals to control the host drive controller 23. This controls the host drive controller 23 to start the air duct 21 and dynamically adjust the operating frequency and output airflow of the air duct 21. The wired communication connection port 13 is an RS485 connection port and communicates with the network-connected cloud computing service device 3 via a wired connection.

[0018] The above-mentioned air pollution refers to any or a combination thereof of suspended particulate matter, carbon monoxide, carbon dioxide, ozone, sulfur dioxide, nitrogen dioxide, lead, total volatile organic compounds, formaldehyde, bacteria, fungi, viruses.

[0019] The following describes a specific embodiment of the air pollution purification device 2 installed in indoor area A. As shown in Figure 1C, the air pollution purification device 2 is installed in indoor area A, and indoor area A is provided with at least one air intake port C1 and at least one exhaust port C2.

[0020] As shown in Figures 1C and 2B, the gas exchanger 2a is equipped with an air passage 24, which has an intake port 24a corresponding to the intake port C1 of indoor area A, a circulating air return port 24b communicating with indoor area A, and a filtration air passage 24c communicating with indoor area A. A gas exchange fan 25 is provided at the circulating air return port 24b, and a guide device 21 and filtration components 22 are provided at the filtration air passage 24c. The network-connected cloud computing service device 3 intelligently calculates and compares carbon dioxide (CO2) pressure detection information in indoor area A and outdoor area B. The safety value of the carbon dioxide (CO2) pressure detection information in indoor area A needs to be maintained at 400-600 PPM. As shown in Figure 2G, the network-connected cloud computing service device 3 receives detection information from the gas exchanger 2a via the Internet of Things communication, compares the carbon dioxide (CO2) pressure in indoor area A and outdoor area B, and determines whether the pressure difference has reached zero equilibrium (i.e., the carbon dioxide (CO2) pressure detection information in indoor area A and outdoor area B is at the same equilibrium). If the pressure difference has not reached zero equilibrium, a control command is selectively sent to the gas detection module 1 of the gas exchanger 2a, and the host drive controller 23 is controlled to control the start operation of the air guide device 21. As a result, air from outdoor area B is introduced from the intake port C1 into the filtered air passage 24c, filtered by the filtration component 22, and then enters indoor area A. At the same time, air from indoor area A also enters the filtered air passage 24c again from the circulating air return port 24b, is circulated and filtered, and temperature control and ventilation are performed. Through ventilation, the pressure difference of carbon dioxide (CO2) between indoor area A and outdoor area B reaches zero equilibrium. Furthermore, when activating the gas exchanger 2a to perform ventilation, it is necessary to maintain a positive pressure of 0 Pa or higher in the indoor area A space to prevent air pollution from the outdoor area B from entering the indoor area A. The gas detection module 1 in the air pollution purification treatment device 2 continuously receives control commands from the network-connected cloud computing service device 3 and controls the host drive controller 23 to control the activation operation of the air guide device 21, thereby continuously performing complete circulation air pollution purification, cleanroom treatment, and temperature and humidity adjustment for air pollution in indoor area A.When the network-connected cloud computing service device 3 determines that the pressure difference of carbon dioxide (CO2) between indoor area A and outdoor area B has reached zero equilibrium, the network-connected cloud computing service device 3 transmits a control command to the gas detection module 1 in the air pollution purification treatment device 2, thereby controlling the host drive controller 23 to reduce the rotational speed of the air duct 21 and adjust the airflow, effectively controlling the energy-saving efficiency of the device's operation, effectively suppressing noise generated by the air duct, real-time detection of air pollution, complete purification, and cleanroom treatment, achieving cleanroom-level cleanliness. As shown in Figure 1B, the gas exchanger 2a is a ventilation device, a total heat exchanger, or a heating, ventilation, and air conditioning system (HVAC), but is not limited to these.

[0021] As shown in Figures 1C, 2C, and 2D, the air purifier 2b is plugged into the indoor area A. The network-connected cloud computing service device 3 issues control commands, which are transmitted to the gas detection module 1 in the air purifier 2b via the Internet of Things (IoT) to control the host drive controller 23 and the startup operation of the air guide device 21, thereby guiding the air pollution in indoor area A to be filtered and purified by the filtration component 22. The purified air is then reintroduced into indoor area A, guiding the air pollution in indoor area A to undergo multiple complete air pollution purification and cleanroom treatments by the filtration component 22.

[0022] As shown in Figures 1C and 2E, the fan filter unit (FFU) 2c is built-in within the indoor area A. The fan filter unit (FFU) 2c is equipped with an air passage 24, which has a circulating air return port 24b communicating with the indoor area A and a filtration air passage 24c communicating with the indoor area A. An air guide device 21 and filtration components 22 are provided in the filtration air passage 24c. The network-connected cloud computing service device 3 issues control commands and transmits them to the gas detection module 1 in the fan filter unit (FFU) 2c via the Internet of Things communication, controlling the host drive controller 23 to control the startup operation of the air guide device 21. This guides the air pollution in indoor area A, allowing it to enter the air guide channel 24 from the circulating air return port 24b, pass through the filtered air passage 24c, be filtered and purified by the filtration component 22, and then reintroduce it into the space of indoor area A. By allowing the air pollution in indoor area A to enter the air guide channel 24 multiple times, the gas backflow effect of the circulating filtration is effectively suppressed, resulting in complete air pollution purification and cleanroom treatment.

[0023] As shown in Figure 1C, the exhaust fan 2d is built-in in indoor area A and communicates with outdoor area B corresponding to the exhaust port C2. The network-connected cloud computing service device 3 issues control commands and transmits them to the gas detection module 1 in the exhaust fan 2d via the Internet of Things communication, thereby controlling the host drive controller 23 to control the startup operation of the air guide device 21. This guides the air pollution in indoor area A, introduces it from the air guide device 21 to the filtration component 22 for filtration and purification, and then discharges it to outdoor area B, thereby performing complete air pollution purification and cleanroom treatment in indoor area A.

[0024] As shown in Figure 1C, the heating and cooling system 2e is installed in indoor area A and includes a temperature control exchanger 26. The network-connected cloud computing service device 3 issues control commands and transmits them to the gas detection module 1 in the heating and cooling system 2e via the Internet of Things communication, controlling the host drive controller 23 to control the startup operation of the air guide device 21, guiding the air through to the temperature control exchanger 26, thereby adjusting the air temperature and humidity in indoor area A. The gas detection module 1 transmits the air temperature and humidity information of indoor area A to the outside. The heating and cooling system 2e adjusts the temperature in indoor area A to be 25°C ± 3°C and the humidity to be 50% ± 10%. As shown in Figure 1B, the heating and cooling system 2e is a cooler, a heater, or a heating and cooling system, but is not limited to these.

[0025] As shown in Figures 1C and 2F, the humidity control device 2f is plug-in installed in the indoor area A. The network-connected cloud computing service device 3 issues control commands and transmits them to the gas detection module 1 in the humidity control device 2f via the Internet of Things communication, controlling the host drive controller 23 to control the startup operation of the air guide device 21, guiding air pollution in indoor area A, and performing complete air pollution purification / cleanroom treatment by the filtration component 22, thereby adjusting the temperature and humidity of the air in indoor area A. The humidity control device 2f adjusts to maintain safe temperature and humidity values ​​of 25°C ± 3°C and 50% ± 10%. As shown in Figure 1B, the humidity control device 2f is a dehumidifier, humidifier, or dehumidifier / humidifier, but is not limited to these.

[0026] In a specific embodiment of the intelligent air purification system for indoor areas of the present invention, the air pollution purification treatment device 2 is installed in indoor area A and further comprises at least one air pollution prevention airtight window 2g, as shown in Figure 1D. The air pollution prevention airtight window 2g is equipped with an air pollution filtration screen 2h, which is an electrostatic filter and prevents the intrusion of air pollution from the outdoor area B. Alternatively, the air pollution filtration screen 2h has a structure woven with nanofibers. When the gas detection module 1 detects that the carbon dioxide (CO2) air quality data in indoor area A is too high, the air pollution prevention airtight window 2g can be opened to allow gas exchange between indoor area A and outdoor area B, and the air pollution filtration screen 2h prevents the intrusion of air pollution from outdoor area B. The air pollution purification treatment device 2 in indoor area A continuously monitors the air pollution in indoor area A and automatically adjusts to purify it so that it approaches zero, thereby maintaining optimal indoor environmental air quality cleanroom performance treatment with energy saving and low power consumption. Furthermore, as shown in Figure 1E, it further comprises at least one air pollution prevention airtight window 2g. The air pollution prevention airtight window 2g has a ventilation passage 2i that connects the outdoor area B and the air inlet of the air pollution purification treatment device 2 (shown in the figure as the air inlet of the purifier 2b). As a result, air from the outdoor area B flows in through the ventilation passage 2i, is guided by the air guide device 21, filtered by the filtration component 22, and then enters the indoor area A, where gas exchange takes place, maintaining a balance in carbon dioxide (CO2) air quality data between the indoor area A and the outdoor area B.

[0027] As described above, the present invention provides an intelligent air purification system for indoor areas. The gas detection module 1 can continuously monitor ambient air quality such as temperature, humidity, carbon dioxide concentration, and PM2.5, and automatically activate the air pollution purification device 2. At the same time, by coordinating with the AI ​​intelligent computing platform 35 equipped with AI intelligent control, intelligent energy management, and fault diagnosis functions of the network-connected cloud computing service device 3, it is possible to quickly respond to real-time environmental changes in indoor area A, optimize the energy efficiency of the system, maintain optimal air quality, continuously create a clean and healthy air environment in indoor area A, and reduce the impact of harmful air pollutants on the human body.

[0028] In a specific embodiment, the intelligent air purification system for indoor areas of the present invention can continuously monitor air quality conditions such as temperature, humidity, carbon dioxide concentration, and PM2.5 in indoor area A using a gas detection module 1, and automatically activate the air pollution purification treatment device 2. Simultaneously, by coordinating with an AI intelligent computing platform 35 equipped with AI intelligent control, intelligent energy management, and fault diagnosis functions of a network-connected cloud computing service device 3, it can quickly respond to real-time environmental changes in indoor area A, optimize the system's energy efficiency, maintain optimal air quality, achieve real-time detection of air pollution, complete purification, and cleanroom treatment, and achieve a cleanliness level equivalent to CLASS 7-12 cleanrooms.

[0029] Figure 12 shows the cleanliness levels of cleanroom CLASS 7 to 12. The intelligent purification system for indoor areas of the present invention detects air pollution in indoor area A in real time and purifies it to near zero, resulting in a bacterial count of ≤1500 CFU (colony count) / m³ per cubic meter. 3 , fungal quantity per cubic meter ≤ 1000 CFU / m³ 3, the average value of formaldehyde content per hour ≤ 0.08 ppm, the average value of volatile organic compound (TVOC) content per hour ≤ 0.56 ppm, the average value of carbon dioxide (CO2) content per 8 hours 1000 ppm, the average value of carbon monoxide (CO) content per 8 hours ≤ 9 ppm, the average value of suspended particulate matter PM 2.5 ≤ 35 μg / m 3 , the average value of suspended particulate matter PM 10 ≤ 75 μg / m 3 It is possible to achieve a cleanliness level of the clean room that is superior to the national standard so that the average value of formaldehyde content per hour ≤ 0.08 ppm, the average value of volatile organic compound (TVOC) content per hour ≤ 0.56 ppm, the average value of carbon dioxide (CO2) content per 8 hours 1000 ppm, the average value of carbon monoxide (CO) content per 8 hours ≤ 9 ppm, the average value of suspended particulate matter PM 2.5 ≤ 35 μg / m, and the average value of suspended particulate matter PM 10 ≤ 75 μg / m. Therefore, it can maintain the optimal air quality, always create a clean and healthy air environment for infants and young children, and reduce the impact of harmful pollutants in the air on infants and young children. The cleanliness standards for CLASS 7 - 12 clean room levels are as follows.

[0030] For clean room CLASS 7 level, the amount of bacteria per cubic meter of volume ≤ 8 CFU (colony number) / m 3 , the amount of fungi per cubic meter of volume ≤ 8 CFU / m 3 , the average value of formaldehyde content per hour ≤ 0.00600 ppm, the average value of volatile organic compound (TVOC) content per hour ≤ 0.02016 ppm, the average value of carbon dioxide (CO2) content per 8 hours 500 - 650 ppm, the average value of carbon monoxide (CO) content per 8 hours ≤ 0.67500 ppm, the average value of suspended particulate matter PM 2.5 ≤ 0.012353 μg / m 3 , the average value of suspended particulate matter PM 10 ≤ 0.018529 μg / m 3 That is. [[ID=__18]]

[0031] For clean room CLASS 8 level, the amount of bacteria per cubic meter of volume ≤ 15 CFU (colony number) / m 3 , the amount of fungi per cubic meter of volume ≤ 15 CFU / m 3The average formaldehyde content per hour was ≤0.00900 ppm, the average volatile organic compound (TVOC) content per hour was ≤0.02688 ppm, the average carbon dioxide (CO2) content per 8 hours was 500-800 ppm, the average carbon monoxide (CO) content per 8 hours was ≤1.01250 ppm, and the average suspended particulate matter (PM2.5) was ≤0.061765 μg / m³. 3 The average value of suspended particulate matter (PM10) is ≤ 0.092647 μg / m³. 3 That is the case.

[0032] In a Class 9 cleanroom, the bacterial count per cubic meter is ≤20 CFU (colony count) / m³. 3 , fungal quantity per cubic meter ≤ 20 CFU / m³ 3 The average formaldehyde content per hour was ≤0.01200 ppm, the average volatile organic compound (TVOC) content per hour was ≤0.03360 ppm, the average carbon dioxide (CO2) content per 8 hours was 500-800 ppm, the average carbon monoxide (CO) content per 8 hours was ≤1.35000 ppm, and the average suspended particulate matter (PM2.5) was ≤0.120000 μg / m³. 3 The average value of suspended particulate matter (PM10) is ≤ 0.185294 μg / m³. 3 That is the case.

[0033] In a Class 10 cleanroom, the bacterial count per cubic meter is ≤ 100 CFU (colony count) / m³. 3 , fungal quantity per cubic meter ≤ 80 CFU / m³ 3 The average formaldehyde content per hour was ≤0.01800 ppm, the average volatile organic compound (TVOC) content per hour was ≤0.07280 ppm, the average carbon dioxide (CO2) content per 8 hours was 500-800 ppm, the average carbon monoxide (CO) content per 8 hours was ≤2.02500 ppm, and the average suspended particulate matter (PM2.5) was ≤0.620000 μg / m³. 3 The average value of suspended particulate matter (PM10) is ≤ 0.926470 μg / m³. 3 That is the case.

[0034] In a cleanroom at Class 11 level, the bacterial count per cubic meter is ≤200 CFU (colony count) / m³. 3 , fungal quantity per cubic meter ≤ 150 CFU / m³ 3 The average formaldehyde content per hour was ≤0.02400 ppm, the average volatile organic compound (TVOC) content per hour was ≤0.11200 ppm, the average carbon dioxide (CO2) content per 8 hours was 500-800 ppm, the average carbon monoxide (CO) content per 8 hours was ≤2.70000 ppm, and the average suspended particulate matter (PM2.5) was ≤1.240000 μg / m³. 3 The average value of suspended particulate matter (PM10) is ≤ 1.850000 μg / m³. 3 That is the case.

[0035] In a Class 12 cleanroom, the bacterial count per cubic meter is ≤ 1500 CFU (colony count) / m³. 3 , fungal quantity per cubic meter ≤ 750 CFU / m³ 3 The average formaldehyde content per hour was ≤0.08000 ppm, the average volatile organic compound (TVOC) content per hour was ≤0.56000 ppm, the average carbon dioxide (CO2) content per 8 hours was 800-1000 ppm, the average carbon monoxide (CO) content per 8 hours was ≤9 ppm, and the average suspended particulate matter (PM2.5) was ≤12.350000 μg / m³. 3 The average value of suspended particulate matter (PM10) is ≤ 18.53000 μg / m³. 3 That is the case.

[0036] To understand the specific implementation of the intelligent air purification system for indoor areas provided by the present invention, the structure of the gas detection module 1 of the present invention will be described in detail below. Refer to Figures 2A, 3A to 10C. The gas detection module 1 includes a control circuit board 11 and a gas detection unit 12. The control circuit board 11 includes a power converter 111, at least one connection interface 112, a microcontroller (MCU) 113, and a wireless communication device 114. The microcontroller (MCU) 113 and the wireless communication device 114 are installed on the control circuit board 11, and the microcontroller (MCU) 113 controls the drive signal of the gas detection unit 12 to start the detection operation, so that the gas detection unit 12 detects air pollution and outputs air quality data. This air quality data is calculated and processed by the microcontroller (MCU) 113, provided to the wireless communication device 114, and transmitted to a network-connected cloud computing service device 3 via Internet of Things (IoT) communication.

[0037] Refer 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 component 124, a particulate 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 intake groove 1214, an air guide component mounting area 1215, and an exhaust groove 1216. The first surface 1211 and the second surface 1212 are two surfaces that are installed opposite each other. The laser mounting area 1213 is formed by cutting out from the first surface 1211 toward the second surface 1212. The outer cover 126 covers the base 121 and has a side plate 1261 with an intake frame opening 1261a and an exhaust frame opening 1261b. The intake groove 1214 is formed recessed from the second surface 1212 and is adjacent to the laser installation area 1213. The intake groove 1214 is provided with an intake opening 1214a that communicates with the outside of the base 121 and corresponds to the exhaust opening 1216a of the outer cover 126. Both side walls of the intake groove 1214 are penetrated by the light-transmitting windows 1214b of the piezoelectric actuator 122 and communicate with the laser installation area 1213. Thus, the intake groove 1214 defines the intake path 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 air guide component mounting area 1215 is formed recessed from the second surface 1212, communicates with the intake groove 1214, has a ventilation hole 1215a penetrating its bottom surface, and has positioning protrusions 1215b at each of its four corners. The exhaust groove 1216 is provided with an exhaust vent 1216a installed in correspondence with the exhaust frame opening 1261b of the outer cover 126. The exhaust groove 1216 includes a first section 1216b formed recessed in the vertical projection area of ​​the first surface 1211 onto the air guide component mounting area 1215, and a second section 1216c formed by cutting out from the first surface 1211 toward the second surface 1212 in an area extending from the vertical projection area of ​​the air guide component mounting area 1215. The first section 1216b is connected to the second section 1216c so as to form a step, and the first section 1216b of the exhaust groove 1216 communicates with the ventilation hole 1215a of the air guide component mounting area 1215, and the second section 1216c of the exhaust groove 1216 communicates with the exhaust 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 exhaust path is defined by both the exhaust groove 1216 and the drive circuit board 123.

[0038] The laser component 124 and the particulate sensor 125 are both installed on the drive circuit board 123 and located within the base 121. To clearly explain the positions of the laser component 124, the particulate sensor 125 and the base 121, the drive circuit board 123 is intentionally omitted. The laser component 124 is housed within the laser installation area 1213 of the base 121, and the particulate sensor 125 is housed within the intake groove 1214 of the base 121 and is aligned with the laser component 124. Furthermore, the laser component 124 corresponds to the light transmission window 1214b through which the laser light emitted by the laser component 124 passes, thereby irradiating the intake groove 1214 with laser light. The beam path emitted by the laser component 124 passes through the light transmission window 1214b and is perpendicular to the intake groove 1214. The beam emitted by the laser component 124 passes through the light transmission window 1214b and enters the intake groove 1214. When the gas in the intake groove 1214 is irradiated and the beam comes into contact with the gas, it scatters and generates a projection spot. The particulate sensor 125 is positioned perpendicular to this spot and receives the scattered projection spot and performs calculations to acquire gas detection data.

[0039] The piezoelectric actuator 122 is housed in a square gas guide component mounting area 1215 of the base 121. The gas guide component mounting area 1215 is in communication with an intake groove 1214. When the piezoelectric actuator 122 is activated, it draws gas from the intake groove 1214 into the piezoelectric actuator 122, and the gas passes through the vent hole 1215a of the gas guide component mounting area 1215 and enters the exhaust groove 1216. The drive circuit board 123 covers the second surface 1212 of the base 121. The laser component 124 is installed and electrically connected to the drive circuit board 123. The particulate sensor 125 is also installed and electrically connected to the drive circuit board 123. When the outer cover 126 covers the base 121, the intake frame opening 1261a corresponds to the intake vent 1214a of the base 121, and the exhaust frame opening 1261b corresponds to the exhaust vent 1216a of the base 121.

[0040] The piezoelectric actuator 122 includes a gas orifice plate 1221, a chamber housing 1222, an actuator 1223, an insulating housing 1224, and a conductive housing 1225. The gas orifice plate 1221 is made of a flexible material and has a suspension plate 1221a and a hollow hole 1221b, the suspension plate 1221a being a sheet-like structure that bends and vibrates, its shape and dimensions corresponding to the inner edge of the gas guide component mounting area 1215, and the hollow hole 1221b passing through the center of the suspension plate 1221a to allow gas to flow. In a preferred embodiment of the present invention, the shape of the suspension plate 1221a may be square, circular, elliptical, triangular, or polygonal.

[0041] The chamber housing 1222 is superimposed on the gas orifice plate 1221, and its appearance corresponds to that of the gas orifice plate 1221. The actuator 1223 is superimposed on the chamber housing 1222, defining a resonant chamber 1226 between the gas orifice plate 1221 and the chamber housing 1222. The insulating housing 1224 is superimposed on the actuator 1223, and its appearance approximates that of the chamber housing 1222. The conductive housing 1225 is superimposed on the insulating housing 1224, and its appearance approximates that of the insulating housing 1224. The conductive housing 1225 includes conductive pins 1225a and conductive electrodes 1225b extending outward from the outer edge of the conductive pins 1225a, with the conductive electrodes 1225b extending inward from the inner edge of the conductive housing 1225. The actuator 1223 further includes a piezoelectric carrier plate 1223a, a resonance adjustment plate 1223b, and a piezoelectric plate 1223c. The piezoelectric carrier plate 1223a is superimposed on the chamber housing 1222. The resonance adjustment plate 1223b is superimposed on the piezoelectric carrier plate 1223a. The piezoelectric plate 1223c is superimposed on the resonance adjustment plate 1223b. The resonance adjustment plate 1223b and the piezoelectric plate 1223c are housed in an insulating housing 1224 and are electrically connected to the piezoelectric plate 1223c by conductive electrodes 1225b of a conductive housing 1225. In a preferred embodiment of the present invention, both the piezoelectric carrier plate 1223a and the resonance adjustment plate 1223b are made of conductive material. The piezoelectric carrier plate 1223a has piezoelectric pins 1223d, and the piezoelectric pins 1223d and conductive pins 1225a are connected to a drive circuit (not shown) on the drive circuit board 123 to receive a drive signal (which may be a drive frequency and drive voltage). The drive signal can form a loop with the piezoelectric pins 1223d, piezoelectric carrier plate 1223a, resonance adjustment plate 1223b, piezoelectric plate 1223c, conductive electrode 1225b, conductive housing 1225, and conductive pins 1225a, and the insulating housing 1224 isolates the conductive housing 1225 from the actuator 1223, preventing a short circuit and 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 and further drives the piezoelectric carrier plate 1223a and resonance adjustment plate 1223b to generate reciprocating bending vibration.

[0042] To explain further, the resonance adjustment plate 1223b is positioned between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a as a buffer between them, and can adjust the vibration frequency of the piezoelectric carrier plate 1223a. Basically, the thickness of the resonance adjustment plate 1223b is greater than the thickness of the piezoelectric carrier plate 1223a, and the vibration frequency of the actuator 1223 is adjusted by changing the thickness of the resonance adjustment plate 1223b.

[0043] Refer to Figures 7A, 7B, 8A, 8B, and 9A. The gas orifice plate 1221, chamber housing 1222, actuator 1223, insulating housing 1224, and conductive housing 1225 are sequentially stacked and positioned within the gas conductor component mounting area 1215, thereby positioning the piezoelectric actuator 122 within the gas conductor component mounting area 1215, and defining a gap 1221c for gas flow between the suspension plate 1221a and the inner edge of the gas conductor component mounting area 1215. An airflow chamber 1227 is formed between the gas orifice plate 1221 and the bottom surface of the gas conductor component mounting area 1215. The airflow chamber 1227 communicates with the resonant chamber 1226 located between the actuator 1223, the gas orifice plate 1221, and the chamber housing 1222 via the hollow hole 1221b of the gas orifice plate 1221. By making the vibration frequency of the gas in the resonant chamber 1226 the same as the vibration frequency of the suspension plate 1221a, the resonant chamber 1226 and the suspension plate 1221a produce a Helmholtz resonance effect, thereby increasing the gas transport efficiency. When the piezoelectric plate 1223c moves away from the bottom surface of the air conductor mounting area 1215, the piezoelectric plate 1223c moves the suspension plate 1221a of the gas orifice plate 1221 away from the bottom surface of the air conductor mounting area 1215, causing the volume of the airflow chamber 1227 to rapidly expand, the internal pressure to decrease and negative pressure to be generated. This draws in gas from outside the piezoelectric actuator 122, which flows in through the gap 1221c, passes through the hollow hole 1221b and enters the resonant chamber 1226, increasing the air pressure inside the resonant chamber 1226 and generating a pressure gradient. When the piezoelectric plate 1223c moves the suspension plate 1221a of the gas orifice plate 1221 to the bottom surface of the gas guide component mounting area 1215, the gas in the resonant chamber 1226 rapidly flows out through the hollow hole 1221b, squeezing out the gas in the airflow chamber 1227, and the combined gas is rapidly and abundantly ejected in an ideal gas state close to Bernoulli's theorem, and introduced into the ventilation hole 1215a of the gas guide component mounting area 1215.

[0044] By repeating the operations shown in Figures 9B and 9C, the piezoelectric plate 1223c vibrates back and forth. According to the principle of inertia, when the internal pressure of the resonant chamber 1226 after exhaust falls below the equilibrium pressure, it guides the gas back into the resonant chamber 1226. In this way, by controlling the vibration frequency of the gas in the resonant chamber 1226 to be the same as the vibration frequency of the piezoelectric plate 1223c, the Helmholtz resonance effect is generated, enabling high-speed and high-volume gas transport. All the gas enters through the intake port 1214a of the outer cover 126, passes through the intake port 1214a into the intake groove 1214 of the base 121, and flows to the position of the particulate sensor 125. Furthermore, by continuously driving the piezoelectric actuator 122 to draw in gas from the intake path, the external gas is rapidly introduced and flows stably, passing above the particulate sensor 125. At this time, the beam emitted by the laser component 124 enters the intake groove 1214 through the light transmission window 1214b, and the gas flowing within the intake groove 1214 passes above the particulate sensor 125. When the beam from the laser component 124 irradiates the suspended particulate matter in the gas, scattering phenomena and projection spots occur. The particulate sensor 125 receives the projection spots due to scattering and performs calculations to obtain relevant information such as the particle size and concentration of the suspended particulate matter contained in the gas. The gas above the particulate sensor 125 is also introduced into the vent hole 1215a of the gas guide component mounting area 1215 by continuous driving by the piezoelectric actuator 122 and enters the exhaust groove 1216. Finally, after the gas enters the exhaust channel 1216, the piezoelectric actuator 122 continues to transport the gas to the exhaust channel 1216, so that the gas inside the exhaust channel 1216 is pushed out and discharged to the outside through the exhaust port 1216a and the exhaust frame port 1261b.

[0045] The gas detection module 1 of the present invention can not only detect suspended particulate matter in the gas, but can also detect the characteristics of introduced gases such as formaldehyde, ammonia, carbon monoxide, carbon dioxide, oxygen gas, and ozone. Accordingly, the gas detection module 1 of the present invention further includes a gas sensor 127, which is positioned and installed on a drive circuit board 123, electrically connected, and housed in an exhaust channel 1216 to detect the characteristics of introduced gases. The gas sensor 127 may be a volatile organic compound sensor that detects gas information of carbon dioxide or total volatile organic compounds. The gas sensor 127 may be a formaldehyde sensor that detects gas information of formaldehyde. The gas sensor 127 may be a bacterial sensor that detects bacterial or fungal information. The gas sensor 127 may be a virus sensor that detects viral gas information. The gas sensor 127 may be a temperature and humidity sensor that detects temperature and humidity information of the gas.

[0046] See also Figure 2H. The air guide device 21 of the air pollution purification treatment device 2 is activated under control and guides the air pollution to be filtered by the filtration component 22. The filtration component 22 may be a filter 22a. The filter 22a may be a filter of MREV 8 or higher (minimum efficiency reported value) level, or a high-performance air filter (HEPA) level, and achieves the effect of filtering and purifying the introduced air pollution by adsorbing chemical smog, bacteria, dust particles and pollen contained in the air pollution. In addition, the high-performance air filter (HEPA) of the present invention is a high-performance air filter (HEPA) 10 or higher, with a dust holding capacity exceeding 12,000 mg. Alternatively, the filter 22a may be a more efficient ULPA14 filter level, further improving filtration efficiency and meeting higher cleanliness requirements. The filtration component 22 can be further combined with physical or chemical materials to provide a sterilizing effect on air pollution. The airflow path direction of the air guide device 21 is indicated by the arrow, and by applying a decomposition layer to the filtration component 22, air pollution is chemically sterilized and removed. The decomposition layer may be activated carbon 22b, which removes organic and inorganic substances in air pollution, as well as colored and odorous substances. In this invention, the formaldehyde adsorption capacity of the activated carbon 22b exceeds 1500 mg. In some embodiments, the filtration component 22 can also be combined with light irradiation to chemically sterilize and remove air pollution. Light irradiation is performed using a photocatalytic unit including a photocatalyst 22c and an ultraviolet lamp 22d, which further improves the efficiency of removing pollutants and allergens from the air. When the photocatalyst 22c is irradiated by the ultraviolet lamp 22d, it converts light energy into electrical energy, decomposing harmful substances in air pollution and achieving filtration and sterilization effects through disinfection. In this invention, the output of the ultraviolet lamp 22d is 120 mW or more.The light irradiation may be a photoplasma unit containing photo-nanotubes 22e. By irradiating the introduced air pollutants with photo-nanotubes 22e, oxygen and water molecules in the air pollutants are decomposed into a highly oxidizing photoplasma, forming an ion flow that destroys organic molecules. This decomposes gas molecules such as volatile formaldehyde, toluene, and volatile organic compounds (VOCs) contained in the air pollutants into water and carbon dioxide, further improving the efficiency of removing airborne pollutants and allergens and achieving a filtration and sterilization effect. In some embodiments, the filtration component 22 can also be combined with the decomposition unit to chemically sterilize and remove air pollutants. The decomposition unit may be a negative ion unit 22f, which attaches positively charged fine particles contained in the introduced air pollutants to the negative charge, further improving the efficiency of removing airborne pollutants and allergens and achieving a filtration and sterilization effect of the introduced air pollutants. The decomposition unit may be a plasma ion unit 22g, which ionizes oxygen and water molecules contained in the air pollutants with plasma ions to form positive ions (H. + ) and anions (O 2- The substance generates ions, and water molecules are attached to the ions. After attaching to the surface of viruses and bacteria, it undergoes a chemical reaction that converts them into highly oxidative reactive oxygen species (hydroxyl groups, OH groups). These reactive oxygen species deplete hydrogen from the surface proteins of viruses and bacteria, causing oxidative decomposition. This decomposes and removes airborne pollutants, allergens, and microorganisms, improving air purity and achieving the effect of filtering and sterilizing introduced air pollution. The decomposition unit may also be an electrostatic filtration unit 22h, which uses electrostatic force to capture and remove airborne particles (dust, pollen, bacteria, and other pollutants).

[0047] As described above, the present invention provides an intelligent air purification system for indoor areas. The gas detection module can continuously monitor ambient air quality such as temperature, humidity, carbon dioxide concentration, and PM2.5, and automatically activate the air pollution purification device. At the same time, the AI ​​intelligent computing platform of the network-connected cloud computing service device is equipped with AI intelligent control, intelligent energy management, and fault diagnosis function technologies, thereby enabling the indoor area environment to respond quickly to real-time environmental changes, optimize the system's energy efficiency, maintain optimal air quality, continuously create a clean and healthy air environment in the indoor area, and reduce the impact of harmful air pollutants on the human body. [Explanation of symbols]

[0048] A: Indoor area B: Outdoor area C1: Air intake C2: Exhaust port 1: Gas detection module 11: Control circuit board 111: Power Converter 112: Connection Interface 113: Microcontroller (MCU) 114: Wireless communication device 12: Gas detection unit 121: Motoza 1211: First surface 1212: Second surface 1213: Laser installation area 1214: Intake groove 1214a: Intake vent 1214b: Light-transmitting window 1215: Air guide component mounting area 1215a: Ventilation holes 1215b: Positioning projection 1216: Exhaust vent 1216a: Exhaust vent 1216b: First section 1216c: Second section 122: Piezoelectric Actuator 1221: Gas orifice plate 1221a: Suspension plate 1221b: Hollow hole 1221c: Gap 1222: Chamber enclosure 1223: Actuator 1223a: Piezoelectric carrier plate 1223b: Resonance adjustment plate 1223c: Piezoelectric plate 1223d: Piezoelectric pin 1224: Insulated enclosure 1225: Conductive enclosure 1225a: Conductive pin 1225b: Conductive electrode 1226: Resonant Chamber 1227: Airflow Chamber 123: Drive circuit board 124: Laser components 125: Particulate Sensor 126: Outer lid 1261: Side panel 1261a: Intake frame 1261b: Exhaust vent 127: Gas sensor 13: Wired communication connection port 2: Air pollution treatment equipment 2a: Gas exchange machine 2b: Air purifier 2c: Fan filter unit (FFU) 2d: Exhaust fan 2e: Heating and cooling systems 2f: Humidity control device 2g: Air pollution prevention airtight window 2h: Air pollution filtration screen 2i: Ventilation passage 21: Air guide device 22: Filtration components 22a: Filter 22b:Activated carbon 22c: Photocatalyst 22d: UV lamp 22e: Optical nanotubes 22f: Negative ion unit 22g: Plasma Ion Unit 22h: Electrostatic filtration unit 23: Host-driven controller 24: Air conduit 24a: Intake vent 24b: Circulating air return port 24c: Filtration airflow path 25: Gas exchange fan 26: Temperature control exchanger 3: Network-connected cloud computing service device 31: Wireless Network Cloud Computing Service Module 32: Cloud Control Service Unit 33: Equipment Management Unit 34: Application Unit 35: AI Intelligent Computing Platform 4: Central Control Computer Control Unit

Claims

1. An intelligent air purification system for indoor areas, comprising multiple gas detection modules, at least one air pollution purification device, and a network-connected cloud computing service device, The aforementioned multiple gas detection modules are installed in indoor and outdoor areas, detect air pollution, and output air quality data via the Internet of Things (IoT) communication. The at least one air pollution treatment apparatus is installed in the indoor area and comprises at least one gas detection module, at least one air duct, at least one filtration component, and at least one host drive controller, wherein the gas detection module is electrically connected to the host drive controller, receives control commands via the Internet of Things communication, controls the startup operation of the air duct, and performs complete circulating air pollution purification and cleanroom treatment in the indoor area. The network-connected cloud computing service device receives the air quality data output from the gas detection module via the Internet of Things, and performs real-time monitoring and analysis based on the collected air quality data. The network-connected cloud computing service device collects and monitors the air quality data in real time, selectively and intelligently transmits control commands to the gas detection module based on the analysis results of the air quality data, controls the host drive controller to control the opening and closing of the air duct, dynamically adjusts the operating frequency and output airflow of the air duct, and performs complete purification of circulating air pollution and cleanroom treatment in the indoor area, thereby achieving a cleanroom level of cleanliness in the indoor area. Intelligent water purification system for indoor areas.

2. The aforementioned air quality data includes suspended particulate matter and carbon dioxide (CO2). ２ The intelligent purification system for indoor areas according to claim 1, wherein the concentration, temperature, and humidity are...

3. The network-connected cloud computing service device includes an AI intelligent computing platform, The AI ​​intelligent computing platform includes AI intelligent control, which performs calculations based on the air quality data, automatically adjusts the airflow rate and purification mode parameters through a predetermined algorithm, accurately controls the operation of the air pollution treatment device based on the pollution status of the air quality data detected in real time indoors, optimizes the energy efficiency of the system, and maintains optimal air quality. The AI ​​intelligent computing platform includes intelligent energy management, which dynamically adjusts energy usage based on the operating status of the indoor area and the air pollution control device. The intelligent air purification system for indoor areas according to claim 1.

4. It further includes at least one central control computer control unit and at least one airtight window to prevent air pollution, The central control computer device receives the control command from the network-connected cloud computing service device via the Internet of Things communication and transmits it to the gas detection module of the air pollution purification treatment device, thereby controlling the startup operation of the air duct device. The aforementioned air pollution prevention airtight window is equipped with an air pollution filtration screen, and the gas detection module detects carbon dioxide (CO2) in the indoor area. ２ When the air quality data is detected to be too high, the air pollution prevention airtight window can be opened to perform gas exchange between the indoor and outdoor areas, the air pollution filtration screen prevents the intrusion of air pollution from the outdoor area, and the air pollution purification device continuously monitors the air pollution in the indoor area and automatically adjusts to purify it to approach zero, thereby maintaining optimal indoor environmental air quality and cleanroom performance treatment. The intelligent air purification system for indoor areas according to claim 1.

5. The air pollution filtration screen has a structure made of an electrostatic filter or nanofibers, and prevents the intrusion of air pollution from the outdoor area, as described in claim 4, for an intelligent air purification system for an indoor area.

6. It also includes at least one airtight window to prevent air pollution, The aforementioned air pollution prevention airtight window has a ventilation passage connecting the outdoor area and the air inlet of the air pollution purification device, thereby allowing air from the outdoor area to flow in through the ventilation passage, be guided by the air guide device, filtered by the filtration component, and then enter the indoor area where gas exchange takes place, thereby removing carbon dioxide (CO2) from the indoor and outdoor areas. ２ ) The balance of air quality data is maintained. The intelligent air purification system for indoor areas according to claim 1.

7. The gas detection module includes a gas detection unit and a control circuit board, the gas detection unit detects humidity, temperature, and air pollution and outputs the air quality data, and the control circuit board collects, calculates, analyzes, and outputs the air quality data to form an input serial communication (IIC) signal. The network-connected cloud computing service device receives and analyzes the air quality data in real time and outputs general-purpose asynchronous transmission / reception (UART) signals and general-purpose input / output (GP I / O) signals to the host drive controller. The intelligent air purification system for indoor areas according to claim 1.

8. The control circuit board includes at least one connection interface, a power converter, a microcontroller (MCU), and a wireless communication device. The power converter divides and modulates the DC voltage, outputs the required DC voltage, and provides the required DC voltage to the gas detection unit and the host drive controller for startup operations via the connection interface. The microcontroller (MCU) is connected to the gas detection unit via the connection interface and generates the serial communication (IIC) signal for input in order to calculate and analyze the output air quality data, and is connected via the connection interface and outputs the general-purpose asynchronous transmit / receive (UART) signal and the general-purpose input / output (GP I / O) signal for control. The wireless communication device receives the air quality data and transmits it to the network-connected cloud computing service device via wireless communication. The network-connected cloud computing service device collects and analyzes the air quality data, monitors it in real time, intelligently selects the control commands, transmits them to the wireless communication device, and further transmits them to the microcontroller (MCU) to output general-purpose asynchronous transmit / receive (UART) signals and general-purpose input / output (GP I / O) signals for controlling the host drive controller, thereby controlling the host drive controller to activate the air duct and dynamically adjust the operating frequency and output airflow of the air duct. The intelligent air purification system for indoor areas according to claim 7.

9. The control circuit board further comprises a wired communication connection port, which is electrically connected to the control circuit board via the connection interface for wired communication transmission with the outside, and the received air quality data is transmitted via wired communication to the network-connected cloud computing service device, which collects and analyzes the air quality data, monitors it in real time, intelligently selects the control commands, and transmits them via the wired communication connection port to the microcontroller (MCU) to output general-purpose asynchronous transmit / receive (UART) signals and general-purpose input / output (GP I / O) signals for controlling the host drive controller, thereby controlling the host drive controller to start the air duct and dynamically adjust the operating frequency and output airflow of the air duct. The intelligent air purification system for indoor areas according to claim 8.

10. The air pollution purification treatment device includes a gas exchanger, a purifier, a fan filter unit (FFU), an exhaust fan, a heating and cooling device, and a humidity control device, wherein the gas exchanger is a ventilation device, a total heat exchanger, or a heating, ventilation and air conditioning system (HVAC), and the heating and cooling device is an air conditioner, a heater, or a heating and cooling device, according to claim 1, an intelligent purification system for indoor areas.

11. The intelligent air purification system for indoor areas according to claim 1, wherein the filtration component is a filter with an MREV (Minimum Reported Efficiency) of level 8 or higher, or a high-performance air filter (HEPA) of level 10 or higher, and has a dust holding capacity exceeding 12,000 mg.

12. The intelligent air purification system for indoor areas according to claim 1, wherein the filtration component is at the ULPA 14 filter level, the air pollutants are chemically sterilized and removed by applying a decomposition layer to the filtration component, the decomposition layer is activated carbon, and the formaldehyde adsorption capacity of the activated carbon exceeds 1500 mg.

13. The intelligent air purification system for indoor areas according to claim 1, wherein the filtration component, in combination with a decomposition unit, chemically sterilizes and removes the air pollutants.

14. The Internet of Things communication is wireless or wired communication, and by wireless communication, it connects and communicates wirelessly with the network-connected cloud computing service device, and the wireless communication is one of a Wi-Fi module, a Bluetooth® module, a radio frequency identification module, or a near-field communication module, and by wired communication, it connects and communicates with the network-connected cloud computing service device via a wired line, and the cleanliness level of the cleanroom is the requirement of CLASS 7 to 12 level, as described in claim 1, an intelligent purification system for indoor areas.

15. The central control computer control device has edge computing capabilities, receives the air quality data detected by the gas detection module of each of the air pollution purification devices via the Internet of Things communication, calculates and analyzes it, generates a control command based on the analysis result, and transmits the control command directly to the gas detection module of the air pollution purification device via the Internet of Things communication, thereby controlling the startup operation of the air guide device and realizing automatic control and optimization of the air pollution purification device, as described in claim 4.

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