AI-smart cleanroom system for infants and toddlers

Abstract

This is a cleanroom system related to the health environment of infants and young children, and it provides an AI-powered smart cleanroom system that ensures the safety and comfort of infants and young children. [Solution] An AI smart cleanroom system for infants and toddlers is provided, which can continuously monitor and detect the air quality of the environment using air monitoring sensors, automatically operate an air pollution purification device, and work in conjunction with an AI smart computing platform equipped with AI smart control, smart energy management, and fault diagnosis functions of a network-connected cloud computing service device. This allows for rapid adjustment of the air conditions in the cleanroom for infants and toddlers in response to real-time changes in the environment, optimizes the energy efficiency of the system, maintains the best possible air quality, provides infants and toddlers with a consistently clean and healthy air environment, and reduces the impact of harmful air pollutants on infants and toddlers.

Description

[Technical Field]

[0001] The present invention relates to the fields of air purification and smart control, and more particularly to a cleanroom system related to the health environment of infants and young children, providing an AI smart cleanroom system that realizes the safety and comfort of infants and young children. [Background technology]

[0002] With worsening air pollution and an increase in pollution sources in modern urban environments, PM2.5 in particular can cause serious otitis media, increase the risk of cancer, and damage brain function, especially in infants whose immune systems are not yet fully developed. Therefore, a clean air environment is crucial for the health of infants and young children. However, conventional air purification systems struggle to control air quality in real time and accurately, and they cannot automatically adjust to maintain indoor air pollution at near-zero levels in response to changes in the indoor environment. Therefore, there is a need for an AI smart cleanroom system that can continuously and intelligently monitor and dynamically adjust indoor air quality. [Overview of the project] [Problems that the invention aims to solve]

[0003] The main objective of this invention is to provide an AI-powered smart cleanroom system designed for infants and young children. This system utilizes highly efficient air purification technology and artificial intelligence control to achieve automatic control of indoor air quality, providing infants and young children with a safe and clean breathing environment. [Means for solving the problem]

[0004] To achieve the above objective, one embodiment of the present invention provides an AI smart cleanroom system for infants, the system comprising a plurality of air monitoring sensors, at least one air pollution purification device, at least one network-connected cloud computing service device, and at least one central control computer control device. The plurality of air monitoring sensors are placed in indoor and outdoor spaces to detect air pollution and output air quality data via the Internet of Things (IoT) communication. The at least one air pollution purification device is installed in the indoor space and contains at least one of the air monitoring sensors, at least one induction fan, at least one filter unit, and at least one drive controller, the air monitoring sensor is electrically connected to the drive controller and receives control commands via the Internet of Things communication to operate the induction fan and perform complete circulating air pollution purification and cleanroom treatment in the indoor space. The at least one network-connected cloud computing service device comprises a wireless network cloud computing service module, a cloud control service unit, a device management unit, an application unit, and an AI smart computing platform. The at least one central control computer control unit receives control commands from the network-connected cloud computing service device via the Internet of Things communication and transmits them to the air monitoring sensor of the air pollution purification device, thereby controlling the operation of the induction fan. The network-connected cloud computing service device receives air quality data from the air monitoring sensor via the Internet of Things communication, analyzes it using an AI smart computing platform, and intelligently sends control commands based on the analysis results to automatically adjust the operating mode of the air pollution purification device, thereby performing complete circulating air pollution purification and cleanroom treatment in the indoor space, and ensuring that the indoor space has a cleanroom-class level of cleanliness. [Brief explanation of the drawing]

[0005] [Figure 1A] This is a schematic diagram of the AI-powered cleanroom system for infants and toddlers according to the present invention. [Figure 1B] This is a schematic diagram showing the structure of the air pollution purification device of the present invention. [Figure 2A] This is a diagram illustrating an embodiment showing the usage state of the AI-smart cleanroom system for infants and toddlers according to the present invention. [Figure 2B] This is a schematic diagram showing the air exchanger of the air pollution purification device of the present invention. [Figure 2C] This is a schematic diagram showing an air purifier, part of the air pollution treatment device of the present invention. [Figure 2D] Figures 2A and 2C show schematic cross-sectional views of the air purifier of the air pollution treatment device of the present invention. [Figure 2E] This is a schematic diagram showing the fan filter unit (FFU) of the air pollution treatment device of the present invention. [Figure 2F] Figure 2A is a schematic cross-sectional view of the humidity controller of the air pollution treatment device of the present invention. [Figure 2G] This schematic diagram illustrates the flow of the air exchanger of the present invention, which controls the introduction of positive pressure air by comparing the pressure difference of carbon dioxide (CO2) between the indoor and outdoor spaces via a network-connected cloud computing service device. [Figure 2H] This is a schematic diagram showing the assembly relationship of the filter unit of the air pollution purification device of the present invention. [Figure 3A] This is a schematic diagram of the three-dimensional external view of the air monitoring sensor of the present invention. [Figure 3B] This is a schematic diagram of the three-dimensional external view of the air monitoring sensor of the present invention, viewed from a different angle. [Figure 3C] This is a schematic diagram of the external appearance of the air monitoring sensor of the present invention. [Figure 4A] This is a schematic diagram (1) of the three-dimensional assembly of the gas detection unit of the present invention. [Figure 4B] This is a schematic diagram (2) of the three-dimensional assembly of the gas detection unit of the present invention. [Figure 4C] It is a three-dimensional exploded schematic view of the gas detection body of the present invention. [Figure 5A] It is a three-dimensional schematic view (one) of the base of the present invention. [Figure 5B] It is a three-dimensional schematic view (two) of the base of the present invention. [Figure 6] It is a three-dimensional schematic view (three) of the base of the present invention. [Figure 7A] It is a three-dimensional schematic view showing the disassembled state of the piezoelectric actuator and the base of the present invention. [Figure 7B] It is a three-dimensional schematic view showing the assembled state of the piezoelectric actuator and the base of the present invention. [Figure 8A] It is a three-dimensional exploded schematic view (one) of the piezoelectric actuator of the present invention. [Figure 8B] It is a three-dimensional exploded schematic view (two) of the piezoelectric actuator of the present invention. [Figure 9A] It is an operating cross-sectional view (one) of the piezoelectric actuator of the present invention. [Figure 9B] It is an operating cross-sectional view (two) of the piezoelectric actuator of the present invention. [Figure 9C] It is an operating cross-sectional view (three) of the piezoelectric actuator of the present invention. [Figure 10A] It is an assembled cross-sectional view (one) of the gas detection body. [Figure 10B] It is an assembled cross-sectional view (two) of the gas detection body. [Figure 10C] It is an assembled cross-sectional view (three) of the gas detection body. [Figure 11] It is a signal transmission schematic view of the air monitoring sensor of the present invention. [Figure 12] It is a structural diagram of the network connection type cloud computing service device of the present invention. [Figure 13] It is a diagram showing the cleanliness of Class 7 to 12 clean rooms by air pollution detection and complete purification treatment of the AI smart clean room system for infants and young children of the present invention.

Embodiments for Carrying Out the Invention

[0006] Embodiments that embody the features and advantages of the present invention will be described in detail in the following description. The present invention can be modified in various ways in different embodiments, none of which will depart from the scope of the invention, and the description and drawings are used for illustrative purposes only and are not intended to limit the invention.

[0007] As shown in Figure 1A, the present invention is an AI smart cleanroom system for infants and toddlers, comprising a plurality of air monitoring sensors 1, at least one air pollution purification 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 from the air monitoring sensors 1 via the Internet of Things, analyzes it using an AI smart computing platform 35 included in the network-connected cloud computing service device 3, and intelligently sends control commands based on the analysis results to automatically adjust the operating mode of the air pollution purification device 2, thereby performing complete circulating air pollution purification and cleanroom treatment in the indoor space, and ensuring that the indoor space has a cleanroom-class level of cleanliness.

[0008] The air monitoring sensor 1 is installed in both indoor and outdoor spaces and detects air quality data such as the concentration of suspended particulate matter (PM1, PM2.5, PM10) and carbon dioxide (CO2), temperature, and humidity. As shown in Figure 2A, the air monitoring sensor 1 is also placed in indoor space A and outdoor space B to detect air pollution and outputs air quality data via the Internet of Things (IoT) communication. In particular, the air quality data includes the concentration of suspended particulate matter (PM1, PM2.5, PM10) and carbon dioxide (CO2), temperature, and humidity.

[0009] As shown in Figure 2A, the air pollution purification device 2 includes devices such as an air exchanger 2a, an air purifier 2b, a fan filter unit (FFU) 2c, an exhaust device 2d, a heating and cooling device 2e, and a humidity controller 2f, and is embedded in (built-in) or plugged into (plug-in) the indoor space A. The air exchanger 2a ventilates the indoor space A and introduces air under positive pressure to prevent air pollution from entering the indoor space A. The air purifier 2b, fan filter unit (FFU) 2c, and exhaust device 2d perform complete air pollution purification and cleanroom treatment of the indoor space A, while the heating and cooling device 2e and humidity controller 2f adjust the temperature and humidity of the indoor space A. Furthermore, the air pollution purification device 2 has at least one air monitoring sensor 1, at least one induction fan 21, at least one filter unit 22, and at least one drive controller 23 arranged inside. The air monitoring sensor 1 is electrically connected to the drive controller 23 and controls the operation of the induction fan 21 by receiving control commands via the Internet of Things communication and providing them to the drive controller 23. In this way, the air monitoring sensor 1 can automatically perform air filtration, ventilation, temperature and humidity adjustment, and sterilization operations based on control commands from the network-connected cloud computing service device 3, thereby performing complete purification of circulating air pollution and cleanroom treatment in the indoor space A.

[0010] As shown in Figure 12, the network-connected cloud computing service device 3 comprises 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 smart computing platform 35. The wireless network cloud computing service module 31 receives air quality data for the outdoor space B and the indoor space A, as well as communication information for the air pollution purification device 2, and transmits control commands. The wireless network cloud computing service module 31 transmits and stores received air quality data for indoor space A and outdoor space B to the cloud control service unit 32 to form an air pollution big data database. It performs intelligent calculations and comparisons using the air pollution big data database, transmits control commands to the wireless network cloud computing service module 31, and transmits them to the air pollution purification processing devices 2 via the wireless network cloud computing service module 31 to operate them. The device management unit 33 receives communication information from the air pollution purification processing devices 2 via the wireless network cloud computing service module 31 to manage user registration and device binding. It provides management information to the application unit 34, such as maintenance management of the air pollution purification processing devices 2, automatic inspection, analysis, processing and improvement of abnormal areas, control and inspection measurement of whether the cleanliness requirements of cleanroom class are met, customer request feedback, and correction mechanisms for improving software and hardware technology, in order to control and manage the system. The application unit 34 also acquires and displays air quality data via the cloud control service unit 32, allowing users to monitor the air pollution removal status in real time using their mobile phones or communication devices. Furthermore, users can control the operation of the AI ​​smart cleanroom system for infants and toddlers through the application unit 34 on their mobile phones or communication devices.The AI ​​smart computing platform 35 receives and analyzes air quality data from the air monitoring sensor 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 automated control and optimization of the air pollution purification device.

[0011] The AI ​​smart computing platform 35 includes AI smart control, smart energy management, and automatic fault diagnosis. AI smart control performs calculations based on air quality data, automatically adjusts parameters such as airflow rate and purification mode through preset algorithms, and precisely controls the operation of the air pollution purification device 2 based on air quality data (e.g., PM2.5) and pollution status detected in real time indoors, optimizing the system's energy efficiency and maintaining the best possible air quality. Smart energy management dynamically adjusts energy use based on the indoor space A and the operating status of the air pollution purification device 2, precisely controlling it to satisfy the health requirements of infants and toddlers, and maintaining indoor space A within an optimal temperature and humidity range for infants and toddlers. 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 and notifies the user if an abnormality occurs in the air pollution purification device 2, promptly issuing warnings and suggesting maintenance. This allows for rapid maintenance and repair of the monitoring device's operational status, prediction of potential failures, and, in particular, self-cleaning of the filter unit and ventilation passages, reducing daily maintenance requirements and enabling long-term, efficient device operation.

[0012] As shown in Figures 1A and 1B, the central control computer control unit 4 receives control commands from the network-connected cloud computing service device 3 via the Internet of Things (IoT) communication, transmits them to the air monitoring sensor 1 of the air pollution purification device 2, and controls the operation of the induction fan 21. Alternatively, the central control computer control unit 4 is equipped with edge computing capabilities and receives air quality data detected by the air monitoring sensor 1 of each air pollution purification device 2 via the Internet of Things (IoT) communication, performs calculations and analysis, generates control commands based on the analysis results, and transmits these control commands directly to the air monitoring sensor 1 of the air pollution purification device 2 via the Internet of Things (IoT) communication, thereby controlling the operation of the induction fan 21. This enables automatic control and optimization of the air pollution purification device 2.

[0013] In particular, the aforementioned Internet of Things communication refers to a collective network to which various devices are connected, and the technology that supports communication between devices and the cloud, and between devices. This Internet of Things communication may be wired communication connecting to the network-connected cloud computing service device 3 via a wired connection. The Internet of Things communication may also be wireless communication connecting to the network-connected cloud computing service device 3 wirelessly. This wireless communication may be any one of the following: a Wi-Fi module, a Bluetooth® module, a radio frequency identification module, or a short-range communication module.

[0014] In particular, the air monitoring sensor 1 may have an external power terminal, as shown in Figures 3A and 3B, and by plugging the external power terminal directly into the power interface of the indoor space A, it may be possible to start detecting air quality data such as air pollution, carbon dioxide (CO2) concentration, temperature, and humidity. Alternatively, as shown in Figure 3C, the air monitoring sensor may not have an external power terminal, but may be directly connected to and electrically connected to the air pollution purification device 2, and operate the induction fan 21 by receiving control commands and controlling the power supply of the air pollution purification device 2.

[0015] In particular, the aforementioned 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.

[0016] The following describes the specific circumstances under which the air pollution purification device 2 is installed in indoor space A. As shown in Figure 2A, the air pollution purification device 2 is installed in indoor space A, and indoor space A is provided with at least one air intake port C1 and at least one exhaust port C2.

[0017] As shown in Figures 2A and 2B, the air exchanger 2a is equipped with an air guide passage 24, which has an intake port 24a corresponding to the intake port C1 of the indoor space A, a circulation return port 24b communicating with the indoor space A, and a filtration air passage 24c communicating with the indoor space A. A ventilation fan 25 is provided in the circulation return port 24b, and an induction fan 21 and a filter unit 22 are provided in the filtration air passage 24c. The network-connected cloud computing service device 3 intelligently calculates and compares the carbon dioxide (CO2) pressure detection information of the indoor space A and the outdoor space B, and the safety value of the carbon dioxide (CO2) pressure detection information of the indoor space A must be maintained at 400 to 600 PPM. As shown in Figure 2G, the network-connected cloud computing service device 3 receives detection information from the air exchanger 2a via the Internet of Things communication and compares the carbon dioxide (CO2) pressure in indoor space A and outdoor space B to determine whether the pressure difference is zero or not (i.e., whether the detected carbon dioxide (CO2) pressure information in indoor space A and outdoor space B matches). If it is not zero, it selectively sends a control command to the air monitoring sensor 1 of the air exchanger 2a, controls the drive controller 23 to operate the induction fan 21, introduces air from outdoor space B into the filtration air passage 24c from the intake port C1, filters it by the filter unit 22, and then enters indoor space A. The air from indoor space A also enters the filtration air passage 24c again from the circulation return port 24b and is circulated and filtered, while the temperature is adjusted and ventilation is performed. Through ventilation, the difference in the detected carbon dioxide (CO2) pressure values ​​between indoor space A and outdoor space B becomes zero. In particular, when the air exchanger 2a is activated to perform ventilation, indoor space A is always maintained at a positive pressure of 0 Pa or higher to prevent air pollution from the outdoor space B from entering indoor space A. The air monitoring sensor 1 inside the air pollution purification device 2 continuously receives control commands from the network-connected cloud computing service device 3 and drives the drive controller 23 to operate the induction fan 21, thereby continuously performing complete purification of circulating air pollution, cleanroom treatment, and temperature and humidity control in indoor space A in response to air pollution inside indoor space A.When the network-connected cloud computing service device 3 determines that the pressure difference of carbon dioxide (CO2) between indoor space A and outdoor space B is zero, the network-connected cloud computing service device 3 sends a control command to the air monitoring sensor 1 inside the air pollution purification device 2 to drive the drive controller 23, thereby reducing the rotation speed of the induction fan 21 and adjusting the airflow, effectively controlling the energy-saving efficiency of the device operation, effectively suppressing the generation of induction airflow noise, realizing real-time detection of air pollution, complete purification, and cleanroom treatment, and achieving cleanroom-class cleanliness. In particular, as shown in Figure 1B, the air exchanger 2a is a ventilator, a total heat exchanger, or an air conditioning control system (HVAC), but is not limited to these.

[0018] As shown in Figures 2A, 2C, and 2D, the air purifier 2b is plugged into the indoor space A. A control command transmitted by the network-connected cloud computing service device 3 is sent via the Internet of Things to the air monitoring sensor 1 inside the air purifier 2b, which drives the drive controller 23 to operate the induction fan 21, thereby inducing air pollution in indoor space A to be filtered and purified by the filter unit 22. The purified air is then reintroduced into indoor space A, and the air pollution in indoor space A is passed through the filter unit 22 multiple times to perform complete air pollution purification and cleanroom treatment.

[0019] As shown in Figures 2A and 2E, the fan filter unit (FFU) 2c is built into the indoor space A, and the fan filter unit (FFU) 2c is equipped with an air guide passage 24, which has a circulation return port 24b communicating with the indoor space A and a filtration air passage 24c communicating with the indoor space A, and an induction fan 21 and a filter unit 22 are provided in the filtration air passage 24c, and control commands transmitted by the network-connected cloud computing service device 3 are transmitted via the Internet of Things (IoT) The signal is transmitted to the air monitoring sensor 1 inside the fan filter unit (FFU) 2c, which drives the drive controller 23 to operate the induction fan 21. This induces the contaminated air from the indoor space A to enter the air guide passage 24 from the circulation return port 24b, pass through the filtered air passage 24c, and after being filtered and purified by the filter unit 22, is reintroduced into the indoor space A. The contaminated air from the indoor space A enters the air guide passage 24 multiple times, effectively suppressing the gas backflow effect of the circulation filtration and achieving complete air purification and cleanroom treatment.

[0020] As shown in Figure 2A, the exhaust device 2d is built into the indoor space A and communicates with the outdoor space B corresponding to the exhaust port C2. A control command transmitted by the network-connected cloud computing service device 3 is sent to the air monitoring sensor 1 inside the exhaust device 2d via the Internet of Things communication, which drives the drive controller 23 to operate the induction fan 21. This induces the air pollution in indoor space A to be introduced into the filter unit 22 for filtration and purification before being discharged to the outdoor space B, thereby completely purifying the air pollution in indoor space A and performing cleanroom treatment.

[0021] As shown in Figure 2A, the heating and cooling system 2e is installed in the indoor space A and includes a temperature-controlled heat exchanger 26. A control command transmitted by the network-connected cloud computing service device 3 is sent to the air monitoring sensor 1 inside the heating and cooling system 2e via the Internet of Things communication, which drives the drive controller 23 to operate the induction fan 21, thereby inducing air to pass through the temperature-controlled heat exchanger 26 and adjusting the temperature and humidity of the air in the indoor space A. The air monitoring sensor 1 transmits the air temperature and humidity information of the indoor space A to the outside. In particular, the heating and cooling system 2e adjusts the temperature of the indoor space A to be maintained at 25°C ± 3°C and the humidity at 50% ± 10%. In particular, as shown in Figure 1B, the heating and cooling system 2e is a cooling heat exchanger, a heating heat exchanger, or a cooling / heating heat exchanger, but is not limited to these.

[0022] As shown in Figures 2A and 2E, the humidity controller 2f is plugged into the indoor space A. A control command transmitted by the network-connected cloud computing service device 3 is sent via the Internet of Things to the air monitoring sensor 1 inside the humidity controller 2f, which drives the drive controller 23 to operate the induction fan 21, thereby inducing air pollution in the indoor space A. The filter unit 22 then performs complete air pollution purification and cleanroom treatment, adjusting the temperature and humidity of the air in the indoor space A. In particular, when the humidity controller 2f adjusts the temperature and humidity, safety values ​​are set to maintain a temperature of 25°C ± 3°C and a humidity of 50% ± 10%. Specifically, as shown in Figure 1B, the humidity controller 2f is a dehumidifier, a humidifier, or a dehumidifier / humidifier, but is not limited to these.

[0023] As can be seen from the above description, the present invention provides an AI smart cleanroom system for infants and toddlers. The air monitoring sensor 1 can continuously monitor and detect air quality, including ambient temperature, humidity, carbon dioxide, and PM2.5, and automatically operate the air pollution purification device 2. By linking with the AI ​​smart computing platform 35, which is equipped with AI smart control, smart energy management, and fault diagnosis functions of the network-connected cloud computing service device 3, the system can quickly adjust the air conditions of the cleanroom for infants and toddlers in response to real-time changes in the environment, optimize the energy efficiency of the system, maintain the best possible air quality, provide infants and toddlers with a clean and healthy air environment at all times, and reduce the impact of harmful air pollutants on infants and toddlers.

[0024] Specifically, the AI ​​smart cleanroom system for infants and toddlers of the present invention can continuously monitor and detect air quality, including temperature, humidity, carbon dioxide, and PM2.5, in indoor space A using an air monitoring sensor 1. It automatically operates an air pollution purification device 2 and, in conjunction with an AI smart computing platform 35 equipped with AI smart control, smart energy management, and fault diagnosis functions of a network-connected cloud computing service device 3, it rapidly adjusts the air conditions of the infant cleanroom in response to real-time environmental changes, optimizes the system's energy efficiency, maintains the best possible air quality, achieves real-time detection, complete purification, and cleanroom treatment of air pollution, and achieves a cleanroom level of Class 7 to 12. Figure 13 shows the cleanroom level of Class 7 to 12. As a result of real-time detection, complete purification, and cleanroom treatment of air pollution in indoor space A using the AI ​​smart cleanroom system for infants and toddlers of the present invention, the bacterial count (per cubic meter) was 1500 CFU (colony-forming units) / m³. 3 Below, the fungal count (per cubic meter) is 1000 CFU / m³. 3The average value of the formaldehyde content (per hour) is 0.08 ppm or less, the average value of the total volatile organic compound (TVOC) content (per hour) is 0.56 ppm or less, the average value of the carbon dioxide (CO2) content (per 8 hours) is 1000 ppm or less, the average value of the carbon monoxide (CO) content (per 8 hours) is 9 ppm or less, and the average value of the PM2.5 of suspended particulate matter is 35 μg / m 3 The average value of the PM10 of suspended particulate matter is 75 μg / m 3 It can achieve a cleanliness level of a clean room class that is better than the following national standards. Therefore, it can maintain the best air quality, always provide 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 levels of CLASS 7 to 12 clean room classes are as follows.

[0025] At the cleanliness level of CLASS 7, the number of bacteria (per cubic meter of volume) is 8 CFU (colony forming units) / m 3 The number of fungi (per cubic meter of volume) is 8 CFU / m 3 The average value of the formaldehyde content (per hour) is 0.00600 ppm or less, the average value of the total volatile organic compound (TVOC) content (per hour) is 0.02016 ppm or less, the average value of the carbon dioxide (CO2) content (per 8 hours) is 500 - 650 ppm, the average value of the carbon monoxide (CO) content (per 8 hours) is 0.67500 ppm or less, and the average value of the PM2.5 of suspended particulate matter is 0.012353 μg / m 3 The average value of the PM10 of suspended particulate matter is 0.018529 μg / m 3 or less.

[0026] At the cleanliness level of CLASS 8, the number of bacteria (per cubic meter of volume) is 15 CFU (colony forming units) / m 3 The number of fungi (per cubic meter of volume) is 15 CFU / m 3The following are the average values ​​for formaldehyde content (per hour) of 0.00900 ppm or less, total volatile organic compound (TVOC) content (per hour) of 0.02688 ppm or less, carbon dioxide (CO2) content (per 8 hours) of 500-800 ppm, carbon monoxide (CO) content (per 8 hours) of 1.01250 ppm or less, and the average value for suspended particulate matter (PM2.5) of 0.061765 μg / m³. 3 The following is an average value of PM10 (suspended particulate matter): 0.092647 μg / m³ 3 The following applies:

[0027] In Class 9 cleanliness, the bacterial count (per cubic meter) is 20 CFU (colony-forming units) / m³. 3 Below, the fungal count (per cubic meter) is 20 CFU / m³. 3 The following are the average values ​​for formaldehyde content (per hour) of 0.01200 ppm or less, total volatile organic compound (TVOC) content (per hour) of 0.03360 ppm or less, carbon dioxide (CO2) content (per 8 hours) of 500-800 ppm, carbon monoxide (CO) content (per 8 hours) of 1.35000 ppm or less, and the average value of suspended particulate matter (PM2.5) of 0.120000 μg / m³. 3 The following is an average value of PM10 (suspended particulate matter): 0.185294 μg / m³ 3 The following applies:

[0028] At CLASS 10 cleanliness, the bacterial count (per cubic meter) is 100 CFU (colony-forming units) / m³. 3 The following is a fungal count (per cubic meter) of 80 CFU / m³. 3 The following are the average values ​​for formaldehyde content (per hour) (0.01800 ppm or less), total volatile organic compound (TVOC) content (per hour) (0.07280 ppm or less), carbon dioxide (CO2) content (per 8 hours) (500-800 ppm), carbon monoxide (CO) content (per 8 hours) (2.02500 ppm or less), and suspended particulate matter (PM2.5) (0.620000 μg / m³). 3The average value of PM10 suspended particulate matter is 0.926470 μg / m³. 3 The following applies:

[0029] At CLASS 11 cleanliness, the bacterial count (per cubic meter) is 200 CFU (colony-forming units) / m³. 3 The following is a fungal count (per cubic meter) of 150 CFU / m³. 3 The following are the average values ​​for formaldehyde content (per hour) (0.02400 ppm or less), total volatile organic compound (TVOC) content (per hour) (0.11200 ppm or less), carbon dioxide (CO2) content (per 8 hours) (500-800 ppm), carbon monoxide (CO) content (per 8 hours) (2.70000 ppm or less), and suspended particulate matter (PM2.5) (1.240000 μg / m³). 3 The average value of suspended particulate matter (PM10) is 1.850000 μg / m³. 3 The following applies:

[0030] At CLASS 12 cleanliness, the bacterial count (per cubic meter) is 1500 CFU (colony-forming units) / m³. 3 The following fungal count (per cubic meter) is 750 CFU / m³. 3 The following are the average values ​​for formaldehyde content (per hour) (0.08000 ppm or less), total volatile organic compound (TVOC) content (per hour) (0.56000 ppm or less), carbon dioxide (CO2) content (per 8 hours) (800-1000 ppm), carbon monoxide (CO) content (per 8 hours) (9 ppm or less), and suspended particulate matter (PM2.5) (12.350000 μg / m³). 3 The average value of PM10 suspended particulate matter is 18.53000 μg / m³. 3 The following applies:

[0031] To understand the AI ​​smart cleanroom system for infants provided by the present invention, the structure of the air monitoring sensor 1 of the present invention will be described in detail below. Refer to Figures 3A to 11. The air monitoring sensor 1 comprises a control circuit board 11, a gas detection unit 12, a microprocessor 13, and a communication device 14. The gas detection unit 12, microprocessor 13, and communication device 14 are integrally packaged on the control circuit board 11 and are electrically connected to each other. The microprocessor 13 and communication device 14 are provided on the control circuit board 11, and the microprocessor 13 controls the drive signal of the gas detection unit 12 to start the detection operation. In this way, the gas detection unit 12 detects air pollution and outputs detection information, the microprocessor 13 receives the detection information, processes it, and provides it to the communication device 14, which transmits it to an external network-connected cloud computing service device 3 via the Internet of Things (IoT) communication.

[0032] Refer to Figures 4A to 9A. The gas detection unit 12 comprises a base 121, a piezoelectric actuator 122, a drive circuit board 123, a laser member 124, a particulate sensor 125, and an outer cover 126. The base 121 comprises a first surface 1211, a second surface 1212, a laser installation area 1213, a gas inlet groove 1214, a gas induction assembly mounting area 1215, and a gas discharge groove 1216. The first surface 1211 and the second surface 1212 are two surfaces facing each other. The laser installation 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 side plates 1261. The side plates 1261 have an intake frame opening 1261a and an exhaust frame opening 1261b. The gas inlet groove 1214 is formed with a recessed second surface 1212 and is adjacent to the laser installation area 1213. The gas inlet groove 1214 is provided with an intake port 1214a that communicates with the outside of the base 121 and corresponds to the intake frame port 1261a of the outer cover 126. The gas inlet groove 1214 has light-transmitting windows 1214b on both side walls that penetrate the piezoelectric actuator 122 and communicate with the laser installation area 1213. Therefore, the first surface 1211 of the base 121 is covered by the outer cover 126 and the second surface 1212 is covered by the drive circuit board 123, thereby defining the intake path with the gas inlet groove 1214. Here, the gas induction assembly mounting area 1215 is formed with a recessed second surface 1212 that communicates with the gas inlet groove 1214, and the bottom surface penetrates to form a ventilation hole 1215a. Positioning protrusions 1215b are provided at each of the four corners of the gas induction assembly mounting area 1215. The gas discharge groove 1216 is provided with an exhaust port 1216a, which is positioned to correspond to the exhaust frame port 1261b of the outer cover 126.The gas discharge groove 1216 comprises a first section 1216b formed by recessing the portion of the first surface 1211 corresponding to the vertical projection area of ​​the gas induction assembly mounting area 1215, and a second section 1216c formed by hollowing out the area from the first surface 1211 to the second surface 1212 in a region offset from the vertical projection area of ​​the gas induction assembly mounting area 1215. The first section 1216b and the second section 1216c are connected, forming a step, and the first section 1216b of the gas discharge groove 1216 communicates with the ventilation hole 1215a of the gas induction assembly mounting area 1215, while the second section 1216c of the gas discharge groove 1216 communicates with the exhaust port 1216a. Therefore, when the first surface 1211 of the base 121 is covered by the outer cover 126 and the second surface 1212 is covered by the drive circuit board 123, both the gas discharge groove 1216 and the drive circuit board 123 define an exhaust path.

[0033] Both the laser member 124 and the particulate sensor 125 are mounted on the drive circuit board 123 and located within the base 121. The drive circuit board 123 has been omitted in order to clearly explain the positional relationship between the laser member 124, the particulate sensor 125 and the base 121. The laser member 124 is housed within the laser installation area 1213 of the base 121, and the particulate sensor 125 is housed within the gas inlet groove 1214 of the base 121 and is aligned with the laser member 124. The laser member 124 corresponds to the light transmission window 1214b, and the light transmission window 1214b transmits the laser light emitted from the laser member 124, so that the laser light is irradiated into the gas inlet groove 1214. The beam path emitted from the laser member 124 passes through the light transmission window 1214b and is perpendicular to the gas inlet groove 1214. The beam emitted from the laser member 124 passes through the light transmission window 1214b and enters the gas inlet groove 1214, irradiating the gas in the gas inlet groove 1214. When the beam comes into contact with the gas, it scatters and generates a projected light spot. Since the particulate sensor 125 is positioned perpendicular to this spot, it receives the scattered projected light spot and calculates the data to obtain gas detection data.

[0034] The piezoelectric actuator 122 is housed within a square-shaped gas induction assembly mounting area 1215 of the base 121. The gas induction assembly mounting area 1215 is in communication with a gas inlet groove 1214. When the piezoelectric actuator 122 is operated, it draws gas from the gas inlet groove 1214, drives it into the piezoelectric actuator 122, passes it through the vent hole 1215a of the gas induction assembly mounting area 1215, and discharges it into the gas discharge groove 1216. The drive circuit board 123 covers the second surface 1212 of the base 121. The laser member 124 is provided on the drive circuit board 123 and electrically connected. The particulate sensor 125 is also provided on the drive circuit board 123 and electrically connected. When the outer cover 126 covers the base 121, the intake frame opening 1261a corresponds to the intake port 1214a of the base 121, and the exhaust frame opening 1261b corresponds to the exhaust port 1216a of the base 121.

[0035] The piezoelectric actuator 122 comprises a nozzle plate 1221, a chamber frame 1222, an actuator element 1223, an insulating frame 1224, and a conductive frame 1225. Here, the nozzle 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 vibrates in a curved manner, and its shape and size correspond to the inner edge of the gas induction assembly mounting area 1215. The hollow hole 1221b passes 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 one of a square, a circle, an ellipse, a triangle, or a polygon.

[0036] The chamber frame 1222 is stacked on top of the vent plate 1221, and its appearance corresponds to that of the vent plate 1221. The actuator element 1223 is stacked on top of the chamber frame 1222, defining a resonant chamber 1226 between the chamber frame 1222 and the vent plate 1221. The insulating frame 1224 is stacked on top of the actuator element 1223, and its appearance is similar to that of the chamber frame 1222. The conductive frame 1225 is stacked on top of the insulating frame 1224, and its appearance is similar to that of the insulating frame 1224. The conductive frame 1225 has conductive pins 1225a and conductive electrodes 1225b, the conductive pins 1225a extending outward from the outer edge of the conductive frame 1225, and the conductive electrodes 1225b extending inward from the inner edge of the conductive frame 1225. Furthermore, the actuator element 1223 comprises a piezoelectric carrier plate 1223a, a resonance adjustment plate 1223b, and a piezoelectric plate 1223c. Here, the piezoelectric carrier plate 1223a is stacked on the chamber frame 1222. The resonance adjustment plate 1223b is stacked on the piezoelectric carrier plate 1223a. The piezoelectric plate 1223c is stacked on the resonance adjustment plate 1223b. The resonance adjustment plate 1223b and the piezoelectric plate 1223c are housed in an insulating frame 1224. The conductive electrode 1225b of the conductive frame 1225 and the piezoelectric plate 1223c are electrically connected. Here, 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), and form a drive signal transmission path for the piezoelectric pins 1223d, piezoelectric carrier plate 1223a, resonance adjustment plate 1223b, piezoelectric plate 1223c, conductive electrode 1225b, conductive frame 1225, and conductive pins 1225a. The conductive frame 1225 and actuator element 1223 are insulated by an insulating frame 1224 to avoid short-circuit phenomena and to ensure that the drive signal is transmitted to the piezoelectric plate 1223c.When the piezoelectric plate 1223c receives a drive signal, it deforms due to the piezoelectric effect, further driving the piezoelectric carrier plate 1223a and the resonance adjustment plate 1223b to generate reciprocating bending vibrations.

[0037] To explain further, the resonance adjustment plate 1223b is located between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a, and functions as a buffer between them, thereby adjusting the vibration frequency of the piezoelectric carrier plate 1223a. Basically, the thickness of the resonance adjustment plate 1223b is greater than that of the piezoelectric carrier plate 1223a, and the vibration frequency of the actuator element 1223 is adjusted by changing the thickness of the resonance adjustment plate 1223b.

[0038] Refer to Figures 7A, 7B, 8A, 8B, and 9A. The nozzle plate 1221, chamber frame 1222, actuator element 1223, insulating frame 1224, and conductive frame 1225 are stacked in this order and positioned within the gas induction assembly mounting area 1215, thereby positioning the piezoelectric actuator 122 within the gas induction assembly mounting area 1215. The piezoelectric actuator 122 has a gap 1221c defined between the suspension plate 1221a and the inner edge of the gas induction assembly mounting area 1215 for gas to flow through. A fluid chamber 1227 is defined between the nozzle plate 1221 and the bottom surface of the gas induction assembly mounting area 1215. The fluid chamber 1227 communicates with the resonant chamber 1226 between the actuator element 1223, the nozzle plate 1221, and the chamber frame 1222 via the hollow hole 1221b of the nozzle plate 1221. By bringing the vibration frequency of the gas in the resonant chamber 1226 closer to the vibration frequency of the suspension plate 1221a, a Helmholtz resonance effect is generated between the resonant chamber 1226 and the suspension plate 1221a, thereby improving the gas transport efficiency. As the piezoelectric plate 1223c moves away from the bottom surface of the gas induction assembly mounting area 1215, the suspension plate 1221a of the nozzle plate 1221 is moved away from the bottom surface of the gas induction assembly mounting area 1215 by the piezoelectric plate 1223c, causing the volume of the fluid chamber 1227 to rapidly expand, the internal pressure to decrease and become negative, the gas outside the piezoelectric actuator 122 to be drawn in through the gap 1221c and enter the resonant chamber 1226 through the hollow hole 1221b, the air pressure inside the resonant chamber 1226 to rise and a pressure gradient to be generated. When the suspension plate 1221a of the nozzle plate 1221 is moved toward the bottom surface of the gas induction assembly mounting area 1215 by the piezoelectric plate 1223c, the gas in the resonant chamber 1226 rapidly flows out through the hollow hole 1221b, pushing out the gas in the fluid chamber 1227. The combined gas is then rapidly and in large quantities ejected in a state close to the ideal gas according to Bernoulli's theorem, and introduced into the vent hole 1215a of the gas induction assembly mounting area 1215.

[0039] By repeating the operations shown in Figures 9B and 9C, the piezoelectric plate 1223c vibrates back and forth, and due to the principle of inertia, the air pressure inside the resonant chamber 1226 after exhaust becomes lower than the equilibrium pressure, causing the gas to re-enter the resonant chamber 1226. In this way, by controlling the vibration frequency of the gas inside the resonant chamber 1226 to approach the vibration frequency of the piezoelectric plate 1223c, Helmholtz resonance is generated, enabling high-speed and high-volume transport of gas. All the gas enters through the intake frame opening 1261a of the outer cover 126, passes through the intake opening 1214a, enters the gas inlet groove 1214 of the base 121, and flows to the position of the particulate sensor 125. Then, the piezoelectric actuator 122 is continuously driven to draw in the gas in the intake path, which is advantageous for the rapid introduction and stable flow of external gas, and the gas passes above the particulate sensor 125. At this time, the beam from the laser member 124 passes through the light transmission window 1214b and enters the gas inlet groove 1214, while also passing above the particulate sensor 125. When the beam from the laser member 124 irradiates the suspended particulate matter in the gas, scattering phenomena and projected light spots are generated. The particulate sensor 125 receives the projected light spots generated by scattering and performs calculations to obtain 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 continuously introduced into the ventilation hole 1215a of the gas induction assembly mounting area 1215 by the driving of the piezoelectric actuator 122 and enters the gas discharge groove 1216. Finally, after the gas enters the gas discharge groove 1216, the piezoelectric actuator 122 continues to send gas into the gas discharge groove 1216, so that the gas in the gas discharge groove 1216 is pushed out and discharged to the outside through the exhaust port 1216a and the exhaust frame port 1261b.

[0040] The air monitoring sensor 1 of the present invention can not only detect suspended particulate matter in a gas, but can also detect the characteristics of introduced gases, such as formaldehyde, ammonia gas, carbon monoxide, carbon dioxide, oxygen, and ozone. Therefore, the air monitoring sensor 1 of the present invention further comprises a gas sensor 127 that is positioned on a drive circuit board 123, electrically connected, and housed in a gas discharge groove 1216, and detects the characteristics of introduced gases. Here, the gas sensor 127 may be a volatile organic compound sensor that detects information on carbon dioxide or total volatile organic compound gases. The gas sensor 127 may be a formaldehyde sensor that detects formaldehyde gas information. 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 air.

[0041] Refer again to Figure 2H. When the induction fan 21 of the air pollution purification device 2 is driven and controlled, air pollution is guided to the filter unit 22 and filtered. The filter unit 22 may be a filter of the MREV (Minimum Efficiency Reporting Value) class of 8 or higher, or a high-performance air filter (HEPA) class, and aims to filter and purify the introduced air pollution by adsorbing chemical fumes, bacteria, dust particles and pollen contained in the air pollution. In particular, the high-performance air filter (HEPA) in this invention is a high-performance air filter (HEPA) class of 10 or higher, with a dust collection capacity of more than 12,000 mg, or a more efficient ULPA14 filter class, which further improves filtration efficiency and realizes even higher cleanliness requirements. The filter unit 22 can also be combined with physical or chemical materials to provide a sterilizing effect on the air pollution passing through it. The airflow direction from the induction fan 21 is indicated by the arrow. By applying a decomposition layer to the filter unit 22, air pollution can be sterilized and removed by chemical means. The decomposition layer may be activated carbon 22a, which can remove organic and inorganic substances in the air pollution, as well as colored and odorous substances. In particular, in this invention, the formaldehyde absorption capacity of activated carbon 22a exceeds 1500 mg. The decomposition layer may also be a purifying element 22b containing chlorine dioxide, which can suppress viruses, bacteria, fungi, influenza A virus, influenza B virus, enterovirus, and norovirus in the air pollution, achieving a suppression rate of 99% or more and helping to reduce cross-infection between viruses. The decomposition layer may also be a herb protective layer 22c extracted from ginkgo and Japanese nasturtium, which can effectively suppress allergies and destroy the surface proteins of passing influenza viruses (e.g., H1N1). The decomposition layer may also be silver ions 22d, which can suppress viruses, bacteria, and fungi in the introduced air pollution. The decomposition layer may be zeolite 22e, and can remove ammoniacal nitrogen, heavy metals, organic pollutants, E. coli, phenol, chloroform, and anionic surfactants.Furthermore, in some embodiments, the filter unit 22 may be combined with a light irradiation element that sterilizes and removes air pollutants by chemical means. The light irradiation element is a photocatalytic unit including a photocatalyst 22f and an ultraviolet lamp 22g, which further improves the efficiency of removing airborne pollutants and allergens. When the photocatalyst 22f is irradiated by the ultraviolet lamp 22g, it converts light energy into electrical energy, decomposing harmful substances in the air pollutant to disinfect and sterilize, thereby achieving a filtration and sterilization effect. In particular, in this invention, the output of the ultraviolet lamp 22g is 120mW or more. The light irradiation element may be a photoplasma unit of the nanophototube 22h. When introduced air pollutants are irradiated by the nanophototube 22h, oxygen molecules 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 filter unit 22 may be combined with a decomposition unit that sterilizes and removes air pollutants by chemical means. The decomposition unit may be a negative ion unit 22i. By giving positive charge to fine particles contained in the introduced air pollutants and causing them to adhere to negative charges, the efficiency of removing airborne pollutants and allergens is further improved, and a filtration and sterilization effect of the introduced air pollutants can be achieved. The decomposition unit may also be a plasma ion unit 22j. Plasma ions ionize oxygen molecules and water molecules contained in the air pollutants to form positive ions (H. + ) and anions (O 2- This process generates ions, and when water molecules attach to the surface of viruses and bacteria, the resulting substance is converted into highly oxidative reactive oxygen species (hydroxyl radicals, OH groups) through a chemical reaction. These radicals then strip hydrogen from the proteins on the surface of viruses and bacteria, and oxidatively decompose them, thereby decomposing and removing airborne pollutants, allergens, and microorganisms. This improves air purity and provides a filtration and sterilization effect on introduced air pollution.

[0042] Based on the above, the present invention provides an AI smart cleanroom system for infants and toddlers. Air monitoring sensors continuously monitor and detect environmental temperature, humidity, carbon dioxide, PM2.5, and other air quality parameters. By integrating with an AI smart computing platform equipped with AI smart control, smart energy management, and automatic fault diagnosis technologies for a network-connected cloud computing service device, the system can quickly adjust the air quality of the cleanroom for infants and toddlers in response to real-time environmental changes, optimize the system's energy efficiency, maintain the best possible air quality, provide infants and toddlers with a consistently clean and healthy air environment, and reduce the impact of harmful airborne pollutants on infants and toddlers. [Explanation of Symbols]

[0043] A: Indoor space B: Outdoor space C1: Air intake C2: Exhaust port 1: Air monitoring sensor 11: Control circuit board 12: Gas detection unit 121: Bass 1211: First surface 1212:Second surface 1213: Laser installation area 1214: Gas inlet channel 1214a: Air intake 1214b: Light-transmitting window 1215: Gas induction assembly mounting area 1215a: Ventilation holes 1215b: Positioning projection 1216: Gas discharge channel 1216a: Exhaust port 1216b: First section 1216c: Second section 122: Piezoelectric Actuator 1221: Vent plate 1221a: Suspension plate 1221b: Hollow hole 1221c: void 1222: Chamber Frame 1223: Actuator element 1223a: Piezoelectric carrier plate 1223b: Resonance adjustment plate 1223c: Piezoelectric plate 1223d: Piezoelectric pin 1224: Insulating frame 1225: Conductive frame 1225a: Conductive pin 1225b: Conductive electrode 1226:Resonance chamber 1227: Fluid Chamber 123: Drive circuit board 124: Laser components 125: Particulate Sensor 126: Outer cover 1261: Side panel 1261a: Intake frame 1261b: Exhaust vent 127: Gas sensor 13: Microprocessor 14: Communication device 2: Air pollution purification device 2a: Air exchange machine 2b: Air purifier 2c: Fan filter unit (FFU) 2d: Exhaust system 2e: Heating and cooling systems 2g: Humidity controller 21: Induction fan 22: Filter Unit 22a:Activated carbon 22b: Cleaning element containing chlorine dioxide 22c: Ginkgo and sumac herb protective layer 22d: Silver ions 22e: Zeolite 22f: Photocatalyst 22g: UV lamp 22h: Nanophototube 22i: Negative Ion Unit 22j: Plasma Ion Unit 23: Drive controller 24: Air guide passage 24a: Intake port 24b: Circulation return port 24c: Filtration airflow path 25: Ventilation fan 26: Temperature control heat exchanger 3: Network-attached cloud computing service devices 31: Wireless Network Cloud Computing Service Module 32: Cloud Control Service Unit 33: Device Management Unit 34: Application Unit 35: AI Smart Computing Platform 4: Central Control Computer Control Unit

Claims

1. AI smart cleanroom system for infants and toddlers, It comprises multiple air monitoring sensors, at least one air pollution purification device, at least one network-connected cloud computing service device, and at least one central control computer control unit, The aforementioned multiple air monitoring sensors are placed in indoor and outdoor spaces to detect air pollution and output air quality data via the Internet of Things (IoT) communication. The at least one air pollution treatment device is installed in the indoor space and contains at least one air monitoring sensor, at least one induction fan, at least one filter unit, and at least one drive controller, the air monitoring sensor is electrically connected to the drive controller, receives control commands via the Internet of Things communication to control the operation of the induction fan, and performs complete purification and cleanroom treatment of circulating air pollution in the indoor space. The at least one network-connected cloud computing service device comprises a wireless network cloud computing service module, a cloud control service unit, a device management unit, an application unit, and an AI smart computing platform. The at least one central control computer device receives control commands from the network-connected cloud computing service device via the Internet of Things communication and transmits them to the air monitoring sensor of the air pollution purification device, thereby controlling the operation of the induction fan. The aforementioned network-connected cloud computing service device receives air quality data from the air monitoring sensor via the Internet of Things communication, analyzes it using an AI smart computing platform, and intelligently sends control commands based on the analysis results to automatically adjust the operating mode of the air pollution purification treatment device, thereby performing complete purification of circulating air pollution and cleanroom treatment in the indoor space, and ensuring that the indoor space achieves a cleanroom-class level of cleanliness, in an AI smart cleanroom system for infants and toddlers.

2. The aforementioned air quality data includes suspended particulate matter and carbon dioxide (CO2). ２ The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the concentration, temperature, and humidity are those of )

3. The AI ​​smart computing platform is equipped with AI smart control, which performs calculations based on the air quality data, automatically adjusts parameters including airflow rate and purification mode through a preset algorithm, and precisely controls the operation of the air pollution purification treatment device based on air quality data and pollution status detected in real time in the room, thereby optimizing the energy efficiency of the system and maintaining the best possible air quality, as described in claim 1, for the AI ​​smart cleanroom system for infants.

4. The AI ​​smart computing platform includes smart energy management, which dynamically adjusts energy use based on the operating status of the indoor space and the air pollution purification device, and the air pollution purification device includes an air exchanger, an air purifier, a fan filter unit (FFU), an exhaust system, a heating and cooling system, and a humidity controller, according to claim 1, for the AI ​​smart cleanroom system for infants.

5. The AI ​​smart cleanroom system for infants and toddlers according to claim 4, wherein the air exchanger is a ventilator, a total heat exchanger, or an HVAC (high-voltage air conditioning) system, and the heating and cooling device is a cooling heat exchanger, a heating heat exchanger, or a cooling / heating heat exchanger.

6. The filter unit is a filter of class MREV (Minimum Efficiency Reporting Value) 8 or higher, or a high-performance air filter (HEPA), and the high-performance air filter (HEPA) is of class 10 or higher, with a dust collection capacity exceeding 12,000 mg, as described in claim 1 of the AI ​​smart cleanroom system for infants.

7. The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the filter unit is of ULPA 14 filter class or is coated with a decomposition layer that sterilizes and removes the air pollutants by chemical means, the decomposition layer is activated carbon, and the formaldehyde absorption capacity of the activated carbon exceeds 1500 mg.

8. The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the filter unit is combined with a light irradiation element that sterilizes and removes the air pollutants by chemical means, and the light irradiation element is a photocatalytic unit including a photocatalyst and an ultraviolet lamp, wherein the output of the ultraviolet lamp is 120 mW or more, or the light irradiation element is a photoplasma unit including a nanophototube.

9. The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the filter unit is combined with a decomposition unit that sterilizes and removes the air pollutants by chemical means, and the decomposition unit is a negative ion unit or a plasma ion unit.

10. The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the Internet of Things communication is wireless communication for wirelessly connecting and communicating with the network-connected cloud computing service device, or wired communication for wired connection and communication 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 short-range communication module.

11. The air monitoring sensor comprises a control circuit board, a gas detection unit, a microprocessor, and a communication device, the control circuit board is electrically connected to the drive controller, the gas detection unit, the microprocessor, and the communication device are integrally packaged on the control circuit board and electrically connected to each other, the microprocessor controls the detection operation of the gas detection unit, the gas detection unit detects the air pollution, the microprocessor processes the detected air pollution, and provides the detection information to the communication device for external communication transmission, as described in claim 1.

12. The AI ​​smart cleanroom system for infants and toddlers according to claim 1, wherein the central control computer control device is equipped with edge computing capabilities, receives the air quality data detected by the air monitoring sensors of each of the air pollution purification processing devices via the Internet of Things communication, performs calculations and analyses, generates control commands based on the analysis results, and transmits the control commands directly to the air monitoring sensors of the air pollution purification processing devices via the Internet of Things communication, thereby controlling the operation of the induction fans and achieving automatic control and optimization of the air pollution purification processing devices.

13. The cleanliness level of the cleanroom class is Class 7 to 12, as described in claim 1, for the AI ​​smart cleanroom system for infants and toddlers.

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