AI intelligent baby clean room system

Abstract

An AI intelligent baby dust-free room system comprises an air monitoring sensor, an air dirt cleaning treatment device, a networking cloud computing service device and a central control computer control device, the air quality of the environment can be continuously monitored based on the air monitoring sensor, and the air dirt cleaning treatment device is automatically started; meanwhile, an AI intelligent calculation platform matched with the networking cloud computing service device has AI intelligent control, intelligent energy management and fault diagnosis function technologies, so that the environment of the baby dust-free room can make a quick response according to real-time environment changes, the system energy efficiency is optimized, the optimal air quality is kept, and the service life of the baby dust-free room is prolonged. A continuously clean and healthy air environment is created for the baby, and the influence of harmful pollutants in the air on the baby is reduced.

Description

Technical Field

[0001] This invention relates to the field of air purification and intelligent control, and in particular to cleanroom systems related to infant health environments, aiming to provide an AI-powered intelligent cleanroom system that meets the safety and comfort needs of infants. Background Technology

[0002] With increasing air pollution and pollution sources in modern urban environments, especially for infants whose immune systems are not yet fully developed, clean air is crucial for their healthy development, particularly given that PM2.5 can seriously cause otitis media, cancer risks, and impair brain function. However, traditional air purification systems often struggle to achieve real-time, precise air quality control and cannot automatically adjust to changes in the indoor environment to maintain near-zero indoor air pollution levels. Therefore, there is an urgent need for an AI-powered intelligent cleanroom system that can continuously and intelligently monitor and dynamically adjust indoor air quality. Summary of the Invention

[0003] The main objective of this invention is to provide an AI-powered intelligent cleanroom system designed for infants. This system combines efficient air purification technology with artificial intelligence control to automatically regulate indoor air quality, creating a safe and clean breathing environment for infants.

[0004] To achieve the above objectives, a broader embodiment of the present invention provides an AI-powered intelligent baby cleanroom system, comprising: multiple air monitoring sensors installed in an indoor and outdoor environment to detect air pollution and output air quality data via Internet of Things (IoT) communication; at least one air pollution purification device installed in the indoor environment, internally configured with at least one air monitoring sensor, at least one fan, at least one filter assembly, and at least one drive controller, wherein the air monitoring sensor is electrically connected to the drive controller and receives a control command via IoT communication to control the start-up and operation of the fan, performing near-zero air pollution purification within the indoor environment; and at least one networked cloud computing service device, including a wireless network cloud computing... The system includes a service module, a cloud control service unit, a device management unit, an application unit, and an AI intelligent computing platform; at least one central control computer receives control commands issued by the networked cloud computing service device via the Internet of Things (IoT) communication, transmits them to the air monitoring sensor of the air purification equipment, and provides control over the start-up and operation of the duct fan; wherein, the networked cloud computing service device receives air quality data output from the air monitoring sensor via the IoT, analyzes it based on the AI ​​intelligent computing platform, and issues intelligent control commands based on the analysis results to automatically adjust the operating mode of the air purification equipment, perform near-zero cleanroom treatment of the indoor circulating air pollution, and provide the indoor area with a cleanliness level equivalent to a cleanroom. Attached Figure Description

[0005] Figure 1A This is a schematic diagram of the AI-powered intelligent baby cleanroom system of the present invention.

[0006] Figure 1B A schematic diagram of the air pollution purification and treatment equipment of this invention.

[0007] Figure 2A This is a diagram illustrating the usage state of the AI-powered intelligent baby cleanroom system of the present invention.

[0008] Figure 2B This is a schematic diagram of the gas exchanger in the air pollution purification treatment equipment of the present invention.

[0009] Figure 2C This is a schematic diagram of the air purifier of the air pollution purification equipment of the present invention.

[0010] Figure 2D For the present invention Figure 2A , Figure 2C A cross-sectional schematic diagram of the cleaning machine in a hollow fiber optic wastewater treatment system.

[0011] Figure 2E This is a schematic diagram of the circulating filter (FFU) of the air pollution purification treatment equipment of the present invention.

[0012] Figure 2F For the present invention Figure 2A A cross-sectional schematic diagram of the humidity control unit of the hollow air purification equipment.

[0013] Figure 2G This is a schematic diagram illustrating the process by which the gas exchanger of the present invention controls positive pressure air intake by comparing the carbon dioxide (CO2) pressure difference between indoor and outdoor areas through a networked cloud computing service device.

[0014] Figure 2H This is a schematic diagram showing the assembly relationship of the filter components in the air pollution purification treatment equipment of the present invention.

[0015] Figure 3A This is a three-dimensional schematic diagram of the air monitoring sensor of the present invention.

[0016] Figure 3B This is a three-dimensional schematic diagram of the air monitoring sensor of the present invention from another angle.

[0017] Figure 3C This is a schematic diagram of the internal structure of the air monitoring sensor of the present invention.

[0018] Figure 4A This is a three-dimensional assembly diagram of the gas detection main body of the present invention (I).

[0019] Figure 4BThis is a three-dimensional assembly diagram (II) of the gas detection main body of the present invention.

[0020] Figure 4C This is an exploded three-dimensional view of the air monitoring sensor of the present invention.

[0021] Figure 5A This is a three-dimensional schematic diagram (I) of the base of the present invention.

[0022] Figure 5B This is a three-dimensional schematic diagram (II) of the base of the present invention.

[0023] Figure 6 This is a three-dimensional schematic diagram (III) of the base of the present invention.

[0024] Figure 7A This is a three-dimensional schematic diagram showing the disassembled piezoelectric actuator and base of the present invention.

[0025] Figure 7B This is a three-dimensional schematic diagram of the piezoelectric actuator and base assembly of the present invention.

[0026] Figure 8A This is a three-dimensional exploded view (I) of the piezoelectric actuator of the present invention.

[0027] Figure 8B This is a three-dimensional exploded view (II) of the piezoelectric actuator of the present invention.

[0028] Figure 9A This is a cross-sectional schematic diagram of the piezoelectric actuator of the present invention (I).

[0029] Figure 9B This is a cross-sectional schematic diagram (II) of the piezoelectric actuator of the present invention.

[0030] Figure 9C This is a cross-sectional schematic diagram of the piezoelectric actuator of the present invention (III).

[0031] Figure 10A A cross-sectional view of the gas detection unit assembly (I).

[0032] Figure 10B This is a cross-sectional view (II) of the gas detection unit assembly.

[0033] Figure 10C This is a cross-sectional view of the gas detection unit assembly (III).

[0034] Figure 11 This is a schematic diagram of the air monitoring sensor transmission of the present invention.

[0035] Figure 12 This is an architectural diagram of the networked cloud computing service device of the present invention.

[0036] Figure 13This is a schematic diagram illustrating the cleanliness calibration of CLASS 7 to 12 cleanroom classes for the AI ​​intelligent baby cleanroom system of this invention, which detects air pollution and achieves near-zero air pollution treatment.

[0037] [Symbol Explanation]

[0038] A: Indoor environment

[0039] B: Outdoor environment

[0040] C1: Air intake port

[0041] C2: Exhaust port

[0042] 1: Air monitoring sensor

[0043] 11: Control circuit board

[0044] 12: Gas detection main body

[0045] 121: Base

[0046] 1211: First Surface

[0047] 1212: Second Surface

[0048] 1213: Laser Setting Area

[0049] 1214: Intake Groove

[0050] 1214a: Air intake port

[0051] 1214b: Light-transmitting window

[0052] 1215: Air guide assembly bearing area

[0053] 1215a: Vent hole

[0054] 1215b: Positioning bump

[0055] 1216: Vent groove

[0056] 1216a: Vent

[0057] 1216b: First interval

[0058] 1216c: Second interval

[0059] 122: Piezoelectric actuator

[0060] 1221: Jet nozzle plate

[0061] 1221a: Suspension tablet

[0062] 1221b: Hollow cavity

[0063] 1221c: Gap

[0064] 1222: Cavity Frame

[0065] 1223: Actuator

[0066] 1223a: Piezoelectric carrier plate

[0067] 1223b: Adjusting the resonant plate

[0068] 1223c: Piezoelectric plate

[0069] 1223d: Piezoelectric pin

[0070] 1224: Insulation Frame

[0071] 1225: Conductive framework

[0072] 1225a: Conductive pin

[0073] 1225b: Conductive electrode

[0074] 1226: Resonance Chamber

[0075] 1227: Airflow Chamber

[0076] 123: Driver circuit board

[0077] 124: Laser Components

[0078] 125: Particle Sensor

[0079] 126: Outer cover

[0080] 1261: Side panel

[0081] 1261a: Air intake frame

[0082] 1261b: Air vent

[0083] 127: Gas Sensor

[0084] 13: Microprocessor

[0085] 14: Communicator

[0086] 2: Air pollution purification equipment

[0087] 2a: Gas exchanger

[0088] 2b: Air purifier

[0089] 2c: Circulating Filter Unit (FFU)

[0090] 2d: Exhaust fan

[0091] 2e: Air conditioner / heater

[0092] 2f: Humidity control machine

[0093] 21: Air guide fan

[0094] 22: Filtering Components

[0095] 22a: Activated carbon

[0096] 22b: Cleaning agent of chlorine dioxide

[0097] 22c: Herbal protective layer of ginkgo and sumac.

[0098] 22d: Silver ion

[0099] 22e: Zeolite

[0100] 22f: Photocatalyst

[0101] 22g: Ultraviolet lamp

[0102] 22h: Nanotube

[0103] 22i: Negative ion unit

[0104] 22j: Plasma Ion Unit

[0105] 23: Drive Controller

[0106] 24: Flow diversion channel

[0107] 24a: Air intake port

[0108] 24b: Recirculating air inlet

[0109] 24c: Filtered air duct

[0110] 25: Gas exchange fan

[0111] 26: Temperature regulating exchanger

[0112] 3: Networked cloud computing service device

[0113] 31: Wireless Network Cloud Computing Service Module

[0114] 32: Cloud Control Service Unit

[0115] 33: Device Management Unit

[0116] 34: Application Unit

[0117] 35: AI Intelligent Calculation Platform

[0118] 4: Central control computer equipment Detailed Implementation

[0119] Embodiments embodying the features and advantages of the present invention will be described in detail in the following description. It should be understood that the present invention can be varied in different forms without departing from the scope of the invention, and the descriptions and drawings herein are for illustrative purposes only and not for limiting the invention.

[0120] like Figure 1A As shown, the present invention is an AI intelligent baby cleanroom system, comprising: multiple air monitoring sensors 1, at least one air purification and treatment device 2, at least one networked cloud computing service device 3, and at least one central control computer device 4. The networked cloud computing service device 3 receives air quality data output from the air monitoring sensors 1 via the Internet of Things, and analyzes it based on the AI ​​intelligent computing platform 35 included in the networked cloud computing service device 3. Based on the analysis results, it issues intelligent control commands to automatically adjust the operating mode of the air purification and treatment device 2, and performs indoor air purification and near-zero cleanroom treatment to provide the indoor area with a cleanliness level equivalent to a cleanroom.

[0121] The aforementioned air monitoring sensor 1 is installed in indoor and outdoor environments to detect air quality data such as particulate matter (PM1, PM2.5, PM10), carbon dioxide (CO2) concentration, temperature, and humidity. Furthermore, as... Figure 2A As shown, the aforementioned multiple air monitoring sensors 1 are deployed in an indoor environment A and an outdoor environment B to detect air pollution and output air quality data via Internet of Things (IoT) communication. It is worth noting that the air quality data includes particulate matter (PM1, PM2.5, PM10), carbon dioxide (CO2) concentration, temperature, humidity, etc.

[0122] like Figure 2AAs shown, the aforementioned air purification equipment 2, including a gas exchanger 2a, a purifier 2b, a circulating filter (FFU) 2c, an exhaust fan 2d, a heater / cooler 2e, and a humidity controller 2f, can be built-in or plugged into the indoor environment A. The gas exchanger 2a provides ventilation for the indoor environment A and provides positive pressure air intake to prevent air pollution from entering the indoor environment A; the purifier 2b, the circulating filter (FFU) 2c, and the exhaust fan 2d provide near-zero cleanroom treatment for the air pollution in the indoor environment A; the heater / cooler 2e, the humidity controller 2f, and the exhaust fan 2d provide air purification for the indoor environment A; the exhaust fan 2b, the air purifier 2b, the exhaust fan 2c, and the humidity controller 2f provide air purification for the indoor environment A; the exhaust fan 2b, the air purifier 2c, the exhaust fan 2d, the exhaust fan 2f, the exhaust fan 2f, the exhaust fan 2c, the exhaust fan 2d, the exhaust fan 2e, the exhaust fan 2f, the exhaust fan 2f, the exhaust fan 2c, the exhaust fan 2d ... f provides temperature and humidity control for the indoor environment A; furthermore, the air purification equipment 2 is equipped with at least one air monitoring sensor 1, at least one fan 21, at least one filter component 22 and at least one drive controller 23, and the air monitoring sensor 1 is electrically connected to the drive controller 23, and receives control commands through Internet of Things communication to control the start and operation of the fan 21. In this way, the air monitoring sensor 1 can automatically perform air filtration, ventilation, temperature and humidity control and sterilization operations according to the control commands of the networked cloud computing service device 3, and implement the internal circulation air purification and near-zero cleanroom treatment of the indoor environment A.

[0123] like Figure 12As shown, the aforementioned networked cloud computing service device 3 includes a wireless network cloud computing service module 31, a cloud control service unit 32, a device management unit 33, an application unit 34, and an AI intelligent computing platform 35. The wireless network cloud computing service module 31 receives air quality data from outdoor environment B and indoor environment A, receives communication information from the air pollution purification equipment 2, and transmits control commands. The wireless network cloud computing service module 31 receives air quality data from indoor environment A and outdoor environment B and transmits it to the cloud control service unit 32 for storage, forming an air pollution big data database. It then performs intelligent calculations and compares the data with the air pollution database, and sends control commands to the wireless network cloud computing service module 31, which in turn transmits the control start operation to the air pollution purification equipment 2. The device management unit 33 receives the air pollution purification equipment's data from the wireless network cloud computing service module 31. The communication information of the backup 2 is used for user login management and device binding management. It can also provide management information such as maintenance and management of the air pollution purification equipment 2, automatic anomaly detection, analysis, handling and improvement, control and inspection measurement to ensure that the cleanliness requirements of the cleanroom level are met, customer feedback and hardware and software technology improvement correction mechanism to the application unit 34 for system control management. The application unit 34 also displays and notifies the air quality data information obtained by the cloud control service unit 32, allowing users to understand the real-time status of air pollution removal through mobile phones or communication devices, and users can control the operation of the AI ​​intelligent baby cleanroom system through the application unit 34 of mobile phones or communication devices. The AI ​​intelligent computing platform 35 receives and analyzes the air quality data from the air monitoring sensor 1 through Internet of Things technology, and generates control commands based on the analysis results to realize the automated control and optimization of the air pollution purification equipment 2, so as to automatically adjust the operating mode of the air pollution purification equipment 2.

[0124] The aforementioned AI intelligent computing platform 35 also features: AI intelligent control, which performs calculations based on air quality data and automatically adjusts parameters such as air flow and purification mode through preset algorithms. This allows for precise control of the air purification equipment 2 based on real-time monitoring of indoor air quality data (such as PM2.5 pollution), optimizing system energy efficiency and maintaining optimal air quality; intelligent energy management, which dynamically adjusts energy usage based on the indoor environment A and the operating status of the air purification equipment 2 to meet the health needs of infants, precisely controlling and maintaining the indoor environment A within the most suitable temperature and humidity range for infants, and automatically reducing power consumption when the air purification equipment 2 is idle, achieving high efficiency and energy saving to minimize energy consumption; and automatic fault diagnosis, which automatically generates reports and notifies users when the air purification equipment 2 malfunctions, providing timely alarms and maintenance suggestions to monitor the equipment's operation and predict potential faults, especially for automatic cleaning of filter components and ventilation channels, reducing daily maintenance needs and maintaining long-term efficient operation of the equipment.

[0125] like Figure 1A ,like Figure 1B As shown, the aforementioned central control computer device 4 receives control commands issued by the networked cloud computing service device 3 via IoT communication and transmits them to the air monitoring sensor 1 of the air purification equipment 2 for reception, thereby providing control for the start-up and operation of the duct fan 21. Alternatively, the central control computer device 4 has edge computing capabilities and can receive and analyze the air quality data monitored by the air monitoring sensor 1 of each air purification equipment 2 via IoT communication, generate control commands based on the analysis results, and directly issue control commands, which are transmitted to the air monitoring sensor 1 of the air purification equipment 2 via IoT communication for reception, thereby providing control for the start-up and operation of the duct fan 21, thus realizing automated control and optimization of the air purification equipment 2.

[0126] It is worth noting that the aforementioned Internet of Things (IoT) communication refers to a collective network connecting various devices and a technology that facilitates communication between devices and the cloud, as well as between devices themselves. This IoT communication can be a wired communication, allowing connection to the networked cloud computing service device 3 via a wired line. Alternatively, it can be a wireless communication, allowing communication with the networked cloud computing service device 3 via a wireless connection, and this wireless communication can be one of a Wi-Fi module, a Bluetooth module, a radio frequency identification (RFID) module, or a near-field communication (NFC) module.

[0127] It is worth noting, please refer to Figure 3A and Figure 3BAs shown, the air monitoring sensor 1 can be configured with an external power supply terminal. By directly plugging the external power supply terminal into the power interface within the indoor environment A, it can start operation and detect air quality data such as air pollution, carbon dioxide (CO2) concentration, temperature, and humidity. Alternatively, as shown... Figure 3C The air monitoring sensor shown does not have an external power supply terminal. It is directly connected to the air purification and treatment equipment 2 and receives control commands to control the power supply of the air purification and treatment equipment 2, thereby controlling the start-up and operation of the blower 21.

[0128] It is worth noting that the air pollution mentioned above refers to one or a combination of particulate matter, carbon monoxide, carbon dioxide, ozone, sulfur dioxide, nitrogen dioxide, lead, total volatile organic compounds, formaldehyde, bacteria, fungi, and viruses.

[0129] The following describes the specific implementation of the air pollution purification equipment 2 installed in indoor environment A: For example... Figure 2A As shown, the air pollution purification treatment equipment 2 is installed in an indoor environment A, and the indoor environment A is provided with at least one air intake C1 and at least one exhaust outlet C2.

[0130] like Figure 2A , Figure 2B As shown, the gas exchanger 2a includes a flow channel 24, which has an air intake port 24a corresponding to the air intake port C1 of the indoor environment A, a recirculation return air port 24b connecting to the indoor environment A, and a filter duct 24c connecting to the indoor environment A. A gas exchange fan 25 is installed in the recirculation return air port 24b section, and a guide fan 21 and a filter assembly 22 are installed in the filter duct 24c. The networked cloud computing service device 3 intelligently calculates and compares the carbon dioxide (CO2) pressure detection information of the indoor environment A and the outdoor environment B. The safe value of the carbon dioxide (CO2) pressure detection information of the indoor environment A must be maintained between 400 and 600 PPM. Figure 2GAs shown, when the networked cloud computing service device 3 receives the detection information from the gas exchange 2a via IoT communication and compares the pressure difference of carbon dioxide (CO2) between indoor environment A and outdoor environment B, it checks whether the pressure detection information of carbon dioxide (CO2) in indoor environment A and outdoor environment B has reached zero equilibrium (that is, the pressure detection information of carbon dioxide (CO2) in indoor environment A and outdoor environment B is the same and balanced). If the zero equilibrium has not been reached, a control command is sent to the air monitoring sensor 1 of the gas exchange 2a to receive and control the drive controller 23 to start the operation of the guide fan 21. The gas from outdoor environment B is introduced into the filter duct 24c through the air inlet C1 and filtered by the filter component 22 before entering indoor environment A. At the same time, the gas in indoor environment A enters the filter duct 24c again through the recirculation return air inlet 24b for circulation filtration and temperature adjustment to implement ventilation. The ventilation is implemented to achieve a zero equilibrium between the pressure detection difference of carbon dioxide (CO2) in indoor environment A and outdoor environment B. It is worth noting that when the gas exchanger 2a starts operating to perform ventilation, the indoor environment A must maintain a positive pressure above 0 Pa to prevent air pollution from the outdoor environment B from entering the indoor environment A. The internal air monitoring sensor 1 of the air purification equipment 2 continuously receives control commands from the networked cloud computing service device 3, which in turn controls the drive controller 23 to start the fan 21. This continuously provides air to the indoor environment A for internal circulation purification, achieving near-zero cleanroom treatment and temperature and humidity regulation. When the networked cloud computing service device 3 compares the carbon dioxide (CO2) pressure difference between the indoor environment A and the outdoor environment B and finds it reaches zero equilibrium, it sends a control command to the internal air monitoring sensor 1 of the air purification equipment 2. This command then controls the drive controller 23 to adjust the fan 21 to reduce its airflow, effectively controlling the energy efficiency of the equipment operation and effectively suppressing noise from the airflow. This achieves real-time detection and near-zero cleanroom treatment, reaching a cleanroom-level cleanliness. It is worth noting that, for example Figure 1B As shown, gas exchanger 2a is a fresh air unit, or a total heat exchanger, or a heating, ventilation and air conditioning (HVAC) unit, but is not limited thereto.

[0131] like Figure 2A As shown, Figure 2C and Figure 2DAs shown, the air purifier 2b is placed (plug-in) in the indoor environment A. The networked cloud computing service device 3 sends control commands to the air monitoring sensor 1 inside the air purifier 2b via IoT communication. The controller 23 controls the start-up of the fan 21 to draw air pollutants from the indoor environment A into the filter assembly 22 for filtration and purification. The purified air is then introduced into the indoor environment A, causing the air pollutants in the indoor environment A to be drawn in multiple times and pass through the filter assembly 22 for air purification and cleanroom treatment to approach zero pollution.

[0132] like Figure 2A As shown and Figure 2E As shown, the aforementioned circulating air filter (FFU) 2c is built-in within the indoor environment A. The circulating air filter (FFU) 2c includes a flow channel 24, which has a circulating return air inlet 24b connecting to the indoor environment A and a filter duct 24c connecting to the indoor environment A. The filter duct 24c is equipped with a fan 21 and a filter assembly 22. The networked cloud computing service device 3 sends control commands to the air monitoring sensor 1 inside the circulating air filter (FFU) 2c via IoT communication. The controller 23 receives the commands and controls the start-up of the fan 21 to draw air pollution from the indoor environment A into the flow channel 24 through the circulating return air inlet 24b and through the filter duct 24c. The air is then filtered and purified by the filter assembly 22 before being introduced into the space of the indoor environment A. This causes the air pollution in the space of the indoor environment A to be drawn through the flow channel 24 multiple times, effectively suppressing the gas backflow effect of the circulating filter and achieving near-zero air pollution purification in the cleanroom.

[0133] like Figure 2A As shown, the exhaust device 2d is built-in in the indoor environment A and corresponds to the exhaust port C2 to guide the airflow to the outdoor environment B. The networked cloud computing service device 3 sends control commands to the air monitoring sensor 1 inside the exhaust device 2d via IoT communication. The controller 23 controls the start-up of the guide fan 21 to guide the air pollution in the indoor environment A into the air. The air is filtered and purified by the filter component 22 and discharged into the outdoor environment B to achieve near-zero air pollution treatment in the indoor environment A.

[0134] like Figure 2AAs shown, the aforementioned air conditioner 2e is installed in indoor environment A. Air conditioner 2e includes a temperature regulating exchanger 26. The networked cloud computing service device 3 sends control commands via IoT communication to the air monitoring sensor 1 inside air conditioner 2e. The controller 23 then controls the start-up of the fan 21, drawing air through the temperature regulating exchanger 26 to regulate the air temperature and humidity within indoor environment A. The air monitoring sensor 1 also transmits the air temperature and humidity information of indoor environment A to the outside world. It is noteworthy that air conditioner 2e maintains indoor environment A at a temperature of 25℃±3℃ and humidity of 50%±10%. It is also noteworthy that... Figure 1B As shown, air conditioner 2e can be a single air conditioner, or air conditioner 2e can be a single heat unit, or air conditioner 2e can be a single cooling and heating unit, but is not limited to these.

[0135] like Figure 2A , Figure 2F As shown, the humidity controller 2f is plug-in placed in the indoor environment A. The networked cloud computing service device 3 sends control commands via IoT communication to the air monitoring sensor 1 inside the humidity controller 2f. The controller then drives the fan 21 to start, drawing air pollutants from the indoor environment A and purifying them through the filter assembly 22 to achieve near-zero cleanroom conditions. It also regulates the temperature and humidity within the indoor environment A. Notably, the humidity controller 2f maintains the set safe temperature and humidity values ​​at 25℃ ± 3℃ and 50% ± 10%. Figure 1B As shown, humidity controller 2f is a dehumidifier, or humidity controller 2f is a humidifier, or humidity controller 2f is a dehumidifier and humidifier, but not limited thereto.

[0136] As described above, the present invention provides an AI-powered intelligent baby cleanroom system. Through an air monitoring sensor 1, it continuously monitors the environment, including temperature, humidity, carbon dioxide concentration, and PM2.5 air quality, and automatically activates the air purification equipment 2. Simultaneously, in conjunction with a networked cloud computing service device 3, an AI intelligent computing platform 35 with AI intelligent control, intelligent energy management, and fault diagnosis capabilities, the baby cleanroom environment can react quickly to real-time environmental changes, optimize system energy efficiency, and maintain optimal air quality, creating a continuously clean and healthy air environment for the baby and reducing the impact of harmful air pollutants on the infant.

[0137] In its specific implementation, the AI-powered intelligent baby cleanroom system of this invention utilizes an air monitoring sensor 1 to continuously monitor the indoor environment A, including temperature, humidity, carbon dioxide concentration, and PM2.5 air quality. It automatically activates the air purification equipment 2 and, in conjunction with a networked cloud computing service device 3, an AI intelligent computing platform 35 with AI intelligent control, intelligent energy management, and fault diagnosis capabilities. This allows the baby cleanroom environment to react quickly to real-time environmental changes, optimize system energy efficiency, maintain optimal air quality, and achieve near-zero air pollution cleanroom treatment, reaching a cleanliness level of CLASS 7-12. Figure 13 As shown, the cleanliness level of cleanrooms ranges from CLASS 7 to 12. This invention's AI-powered intelligent baby cleanroom system enables real-time detection and near-zero air pollution in the indoor environment (A), achieving a cleanliness level superior to the national standard of ≤1500 CFU (colony count) / m³ for bacterial testing. 3 For fungal detection, sampling should be ≤1000 CFU / m³. 3 The detection parameters were set at an average value of formaldehyde ≤ 0.08 ppm per hour, volatile organic compounds (TVOC) ≤ 0.56 ppm per hour, carbon dioxide (CO2) ≤ 1000 ppm per 8 hours, carbon monoxide (CO) ≤ 9 ppm per 8 hours, and particulate matter (PM2.5) ≤ 35 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦75μg / m³ 3 Average value. To maintain optimal air quality and create a consistently clean and healthy air environment for infants, reducing the impact of harmful air pollutants on them, the cleanliness standards for CLASS 7-12 cleanrooms are as follows:

[0138] For bacterial testing, samples should be taken at a rate of ≤8 CFU (colony count) / m³. 3 Fungal detection requires sampling at a rate of ≤8 CFU / m³. 3 The detection parameters were set at an average value of formaldehyde ≤ 0.00600 ppm per hour, volatile organic compounds (TVOC) ≤ 0.02016 ppm per hour, carbon dioxide (CO2) ≤ 500–650 ppm per 8 hours, carbon monoxide (CO) ≤ 0.67500 ppm per 8 hours, and particulate matter (PM2.5) ≤ 0.012353 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦0.018529μg / m³ 3 The average value meets the requirements of CLASS 7 cleanroom level.

[0139] For bacterial testing, the sampling rate should be ≤15 CFU (colony count) / m³. 3 For fungal detection, sampling should be ≤15 CFU / m³. 3 The detection parameters were set at an average value of formaldehyde ≤ 0.00900 ppm per hour, volatile organic compounds (TVOC) ≤ 0.02688 ppm per hour, carbon dioxide (CO2) ≤ 500–800 ppm per 8 hours, carbon monoxide (CO) ≤ 1.01250 ppm per 8 hours, and particulate matter (PM2.5) ≤ 0.061765 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦0.092647μg / m³ 3 The average value meets the requirements of CLASS 8 cleanroom level.

[0140] For bacterial testing, the sampling rate should be ≤20 CFU (colony count) / m³. 3 For fungal detection, sampling should be ≤20 CFU / m³. 3 The detection values ​​were set at an average of formaldehyde ≤ 0.01200 ppm per hour, volatile organic compounds (TVOC) ≤ 0.03360 ppm per hour, carbon dioxide (CO2) ≤ 500–800 ppm per 8 hours, carbon monoxide (CO) ≤ 1.35000 ppm per 8 hours, and particulate matter (PM2.5) ≤ 1.20000 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦0.185294μg / m³ 3 The average value meets the requirements of CLASS 9 cleanroom level.

[0141] For bacterial testing, the sampling rate should be ≤100 CFU (colony count) / m³. 3 For fungal detection, sampling should be ≤80 CFU / m³. 3 The detection values ​​were set at an average of formaldehyde ≤ 0.01800 ppm per hour, volatile organic compounds (TVOC) ≤ 0.07280 ppm per hour, carbon dioxide (CO2) ≤ 500–800 ppm per 8 hours, carbon monoxide (CO) ≤ 2.02500 ppm per 8 hours, and particulate matter (PM2.5) ≤ 0.620000 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦0.926470μg / m³ 3 The average value meets the requirements of CLASS 10 cleanroom level.

[0142] For bacterial testing, the sampling rate should be ≤200 CFU (colony count) / m³.3 For fungal detection, sampling should be ≤150 CFU / m³. 3 The detection values ​​were set at an average of formaldehyde ≤ 0.02400 ppm per hour, volatile organic compounds (TVOC) ≤ 0.11200 ppm per hour, carbon dioxide (CO2) ≤ 500–800 ppm per 8 hours, carbon monoxide (CO) ≤ 2.70000 ppm per 8 hours, and particulate matter (PM2.5) ≤ 1.240000 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦1.850000μg / m³ 3 The average value meets the requirements of CLASS11 cleanroom level.

[0143] For bacterial testing, the sampling rate should be ≤1500 CFU (colony count) / m³. 3 For fungal detection, sampling should be ≤750 CFU / m³. 3 The detection parameters are as follows: formaldehyde ≤ 0.08000 ppm per hour; volatile organic compounds (TVOC) ≤ 0.56000 ppm per hour; carbon dioxide (CO2) ≤ 800–1000 ppm per 8 hours; carbon monoxide (CO) ≤ 9 ppm per 8 hours; and particulate matter (PM2.5) ≤ 12.350000 μg / m³. 3 Average value, detected suspended particulate matter PM 10≦18.53000μg / m³ 3 The average value meets the requirements of cleanroom CLASS12 level.

[0144] To understand the specific implementation of the AI-powered intelligent baby cleanroom system provided by this invention, please refer to the following detailed description of the structure of the air monitoring sensor 1 of this invention. Figures 3A to 11 As shown, the air monitoring sensor 1 includes: a control circuit board 11, a gas detection body 12, a microprocessor 13, and a communicator 14. The gas detection body 12, microprocessor 13, and communicator 14 are integrated into the control circuit board 11 and electrically connected to each other. The microprocessor 13 and communicator 14 are mounted on the control circuit board 11. The microprocessor 13 controls the drive signal of the gas detection body 12 to initiate detection operation. The gas detection body 12 detects air pollution and outputs detection information, which is then processed by the microprocessor 13 and provided to the communicator 14 for transmission to a networked cloud computing service device 3 via Internet of Things (IoT) communication.

[0145] Please see again Figure 4A To the diagram Figure 9AAs shown, the gas detection body 12 includes a base 121, a piezoelectric actuator 122, a drive circuit board 123, a laser assembly 124, a particle sensor 125, and an outer cover 126. The base 121 has a first surface 1211, a second surface 1212, a laser setting area 1213, an air inlet groove 1214, a gas guide assembly bearing area 1215, and an air outlet groove 1216. The first surface 1211 and the second surface 1212 are two surfaces arranged opposite to each other. The laser setting area 1213 is formed by hollowing out from the first surface 1211 towards the second surface 1212. The outer cover 126 covers the base 121 and has a side plate 1261, which has an air inlet frame 1261a and an air outlet frame 1261b. The air intake groove 1214 is formed by a recess in the second surface 1212 and is adjacent to the laser setting area 1213. The air intake groove 1214 has an air intake port 1214a, which connects to the outside of the base 121 and corresponds to the air outlet port 1216a of the outer cover 126. The two side walls of the air intake groove 1214 penetrate through the light-transmitting window 1214b of the piezoelectric actuator 122 and communicate with the laser setting area 1213. Therefore, the first surface 1211 of the base 121 is covered by the outer cover 126 and the second surface 1212 is covered by the drive circuit board 123, so that the air intake groove 1214 defines an air intake path. The air guide component bearing area 1215 is formed by a recess in the second surface 1212 and connects to the air inlet groove 1214. A vent 1215a extends through the bottom surface, and each of the four corners of the air guide component bearing area 1215 has a positioning protrusion 1215b. The aforementioned air outlet groove 1216 is provided with an air outlet 1216a, which corresponds to the air outlet frame opening 1261b of the outer cover 126. The venting groove 1216 includes a first section 1216b formed by the recess of the first surface 1211 into the vertical projection area of ​​the air guide component support area 1215, and a second section 1216c formed by hollowing out from the first surface 1211 to the second surface 1212. The first section 1216b and the second section 1216c are connected to form a step, and the first section 1216b of the venting groove 1216 communicates with the vent hole 1215a of the air guide component support area 1215, and the second section 1216c of the venting groove 1216 communicates with the vent outlet 1216a. Therefore, when the first surface 1211 of the base 121 is covered by the outer cover 126 and the second surface 1212 is covered by the drive circuit board 123, the venting groove 1216 and the drive circuit board 123 together define an venting path.

[0146] The aforementioned laser component 124 and particle sensor 125 are both mounted on the drive circuit board 123 and located within the base 121. To clearly illustrate the positions of the laser component 124 and particle sensor 125 relative to the base 121, the drive circuit board 123 is deliberately omitted. The laser component 124 is housed within the laser setting area 1213 of the base 121, and the particle sensor 125 is housed within the air intake groove 1214 of the base 121 and aligned with the laser component 124. Furthermore, the laser component 124 corresponds to the light-transmitting window 1214b, through which the laser light emitted by the laser component 124 passes, illuminating the air intake groove 1214. The beam path emitted by the laser component 124 passes through the light-transmitting window 1214b and forms an orthogonal direction with the air intake groove 1214. The laser assembly 124 emits a beam of light that enters the air intake groove 1214 through the light transmission window 1214b. The detection data in the gas in the air intake groove 1214 is illuminated. When the beam of light comes into contact with the gas, it will scatter and generate a projected light spot, so that the particle sensor 125 is located in its orthogonal direction and receives the projected light spot generated by the scattering to perform calculations to obtain the gas detection data.

[0147] The piezoelectric actuator 122 is housed in the square gas guide assembly support area 1215 of the base 121. Furthermore, the gas guide assembly support area 1215 communicates with the inlet groove 1214. When the piezoelectric actuator 122 is actuated, gas is drawn from the inlet groove 1214 into the piezoelectric actuator 122, and the gas is then supplied through the vent hole 1215a of the gas guide assembly support area 1215 into the outlet groove 1216. Additionally, the drive circuit board 123 is encapsulated on the second surface 1212 of the base 121. The laser assembly 124 is disposed on the drive circuit board 123 and electrically connected. The particle sensor 125 is also disposed on the drive circuit board 123 and electrically connected. When the outer cover 126 covers the base 121, the air outlet 1216a corresponds to the air inlet 1214a of the base 121, and the air outlet frame 1261b corresponds to the air outlet 1216a of the base 121.

[0148] The piezoelectric actuator 122 includes an air jet plate 1221, a cavity frame 1222, an actuator 1223, an insulating frame 1224, and a conductive frame 1225. The air jet plate 1221 is made of a flexible material and has a suspension plate 1221a and a hollow hole 1221b. The suspension plate 1221a is a sheet-like structure that bends and vibrates, and its shape and size correspond to the inner edge of the air-guiding component bearing area 1215. The hollow hole 1221b penetrates the center of the suspension plate 1221a to allow gas flow. In a preferred embodiment of the invention, the shape of the suspension plate 1221a can be square, graphic, elliptical, triangular, or polygonal.

[0149] The aforementioned cavity frame 1222 is stacked on the jet orifice plate 1221, and its appearance corresponds to that of the jet orifice plate 1221. An actuator 1223 is stacked on the cavity frame 1222, defining a resonant chamber 1226 between itself, the jet orifice plate 1221, and the suspension plate 1221a. An insulating frame 1224 is stacked on the actuator 1223, and its appearance is similar to that of the cavity frame 1222. A conductive frame 1225 is stacked on the insulating frame 1224, and its appearance is similar to that of the insulating frame 1224. The conductive frame 1225 has a conductive pin 1225a and a conductive electrode 1225b extending outward from the outer edge of the conductive pin 1225a, and the conductive electrode 1225b extending inward from the inner edge of the conductive frame 1225. Furthermore, the actuator 1223 also includes a piezoelectric carrier plate 1223a, an adjusting resonant plate 1223b, and a piezoelectric plate 1223c. In this embodiment, a piezoelectric carrier plate 1223a is stacked on the cavity frame 1222. An adjustment resonance plate 1223b is stacked on the piezoelectric carrier plate 1223a. A piezoelectric plate 1223c is stacked on the adjustment resonance plate 1223b. The adjustment resonance plate 1223b and the piezoelectric plate 1223c are housed within an insulating frame 1224. The piezoelectric plate 1223c is electrically connected to the conductive plate 1223b by a conductive electrode 1225b of a conductive frame 1225. In a preferred embodiment of the present invention, both the piezoelectric carrier plate 1223a and the adjustment resonance plate 1223b are made of conductive materials. The piezoelectric carrier plate 1223a has a piezoelectric pin 1223d, which is connected to the drive circuit (not shown) on the drive circuit board 123 via a conductive pin 1225a to receive drive signals (which may be drive frequency and drive voltage). The drive signal forms a circuit through the piezoelectric pin 1223d, the piezoelectric carrier plate 1223a, the adjusting resonant plate 1223b, the piezoelectric plate 1223c, the conductive electrode 1225b, the conductive frame 1225, and the conductive pin 1225a. An insulating frame 1224 isolates the conductive frame 1225 from the actuator 1223 to prevent short circuits, allowing the drive signal to be transmitted to the piezoelectric plate 1223c. After receiving the drive signal, the piezoelectric plate 1223c deforms due to the piezoelectric effect, further driving the piezoelectric carrier plate 1223a and the adjusting resonant plate 1223b to reciprocate bending vibrations.

[0150] To further explain, the adjusting resonant plate 1223b is located between the piezoelectric plate 1223c and the piezoelectric carrier plate 1223a, acting as a buffer between the two, and can adjust the vibration frequency of the piezoelectric carrier plate 1223a. Basically, the thickness of the adjusting resonant plate 1223b is greater than that of the piezoelectric carrier plate 1223a, and the vibration frequency of the actuator 1223 is adjusted by changing the thickness of the adjusting resonant plate 1223b.

[0151] Please refer to the following: Figure 7A , Figure 7B , Figure 8A , Figure 8B and Figure 9A As shown, the jet nozzle 1221, cavity frame 1222, actuator 1223, insulating frame 1224, and conductive frame 1225 are stacked sequentially and positioned within the air guide assembly support area 1215, causing the piezoelectric actuator 122 to be positioned within the air guide assembly support area 1215. The piezoelectric actuator 122 defines a gap 1221c between the suspension plate 1221a and the inner edge of the air guide assembly support area 1215, allowing gas to flow. The jet nozzle 1221 and the bottom surface of the air guide assembly support area 1215 form an airflow chamber 1227. The airflow chamber 1227 is connected to the resonant chamber 1226 between the actuator 1223, the jet orifice 1221, and the suspension plate 1221a through the hollow hole 1221b in the jet orifice 1221. By making the vibration frequency of the gas in the resonant chamber 1226 close to that of the suspension plate 1221a, the resonant chamber 1226 and the suspension plate 1221a can generate a Helmholtz resonance effect, thereby improving the gas transmission efficiency. When the piezoelectric plate 1223c moves away from the bottom surface of the air guide assembly bearing area 1215, the piezoelectric plate 1223c drives the suspension plate 1221a of the jet nozzle plate 1221 to move away from the bottom surface of the air guide assembly bearing area 1215, causing the volume of the airflow chamber 1227 to expand rapidly, the internal pressure drops and a negative pressure is generated, which attracts the gas outside the piezoelectric actuator 122 to flow in through the gap 1221c, and enter the resonant chamber 1226 through the hollow hole 1221b, increasing the air pressure in the resonant chamber 1226 and thus generating a pressure gradient. When the piezoelectric plate 1223c drives the suspension plate 1221a of the jet nozzle plate 1221 to move toward the bottom surface of the air guide assembly support area 1215, the gas in the resonant chamber 1226 flows out rapidly through the hollow hole 1221b, compresses the gas in the airflow chamber 1227, and causes the converged gas to be ejected rapidly and in large quantities into the vent hole 1215a of the air guide assembly support area 1215 in an ideal gas state close to Bernoulli's law.

[0152] By repeating Figure 9B and Figure 9CAs shown in the diagram, the piezoelectric plate 1223c vibrates reciprocally. Based on the principle of inertia, the gas pressure inside the resonant chamber 1226 after exhaust is lower than the equilibrium pressure, guiding the gas back into the resonant chamber 1226. This controls the vibration frequency of the gas in the resonant chamber 1226 to be approximately the same as the vibration frequency of the piezoelectric plate 1223c, thereby generating a Helmholtz resonance effect and achieving high-speed and high-volume gas transmission. All gas enters through the air inlet 1214a of the outer cover 126, flows through the air inlet 1214 into the air inlet groove 1214 of the base 121, and then flows to the position of the particle sensor 125. Furthermore, the piezoelectric actuator 122 continuously drives the intake gas, facilitating the rapid and stable flow of external gas. The gas passes above the particle sensor 125. At this time, the laser component 124 emits a beam that enters the intake groove 1214 through the light-transmitting window 1214b. The intake groove 1214 passes above the particle sensor 125. When the beam from the particle sensor 125 irradiates the suspended particles in the gas, scattering and projection light spots are generated. The particle sensor 125 receives the projection light spots generated by the scattering and calculates to obtain relevant information such as the particle size and concentration of the suspended particles contained in the gas. The gas above the particle sensor 125 is also continuously driven by the piezoelectric actuator 122 and guided into the vent 1215a of the gas guide component bearing area 1215, and then into the outlet groove 1216. Finally, when the gas enters the outlet groove 1216, the gas is continuously supplied into the outlet groove 1216 by the piezoelectric actuator 122. Therefore, the gas in the outlet groove 1216 is pushed and discharged to the outside through the outlet port 1216a and the outlet frame port 1261b.

[0153] The air monitoring sensor 1 of the present invention can not only detect suspended particles in the gas, but also further detect the characteristics of the introduced gas, such as formaldehyde, ammonia, carbon monoxide, carbon dioxide, oxygen, ozone, etc. Therefore, the air monitoring sensor 1 of the present invention also includes a gas sensor 127, which is positioned and electrically connected to the drive circuit board 123 and housed in the gas outlet groove 1216 to detect the characteristics of the introduced gas. The gas sensor 127 can be a volatile organic compound sensor to detect carbon dioxide or total volatile organic compound gas information; a formaldehyde sensor to detect formaldehyde gas information; a bacteria sensor to detect bacteria or fungi; a virus sensor to detect viruses; or a temperature and humidity sensor to detect gas temperature and humidity information.

[0154] Also, please see Figure 2HAs shown, the air pollution purification equipment 2 described above uses a blower 21 that is controlled to start and guide air pollution through a filter assembly 22. The filter assembly 22 can be a filter with an MREV 8 or higher (minimum filtration efficiency value), or a high-efficiency particulate air (HEPA) filter. This filter adsorbs chemical fumes, bacteria, dust particles, and pollen contained in the air pollution, thus achieving filtration and purification. It is worth noting that the HEPA filter of this invention is a HEPA 10 or higher with a dust holding capacity greater than 12000mg, or a more efficient LPA14 filter, further improving filtration efficiency and meeting higher cleanliness requirements. The filter assembly 22 can be further combined with physical or chemical materials to provide a sterilization effect on the air pollution. The airflow path of the blower 21 is as indicated by the arrow. The filter assembly 22 is coated with a decomposition layer to sterilize and remove air pollution. The invention utilizes activated carbon 22a to remove organic and inorganic substances from air pollution, as well as colored and odorous substances. Notably, the activated carbon 22a of this invention has a formaldehyde absorption capacity greater than 1500mg. The decomposition layer can be a chlorine dioxide cleaning factor 22b, which inhibits viruses, bacteria, fungi, influenza A virus, influenza B virus, enterovirus, and norovirus in air pollution with an inhibition rate of over 99%, helping to reduce viral cross-infection. The decomposition layer can be a herbal protective layer 22c of ginkgo and sumac, which effectively resists allergies and destroys the surface proteins of influenza viruses (e.g., H1N1). The decomposition layer can be a silver ion 22d, which inhibits viruses, bacteria, and fungi introduced into the air pollution. The decomposition layer can also be a zeolite 22e, which removes ammonia nitrogen, heavy metals, organic pollutants, E. coli, phenol, chloroform, and anionic surfactants.In some embodiments, the filter component 22 can also be combined with a light-irradiated chemical method to sterilize and remove air pollution. The light irradiation is a photocatalyst unit consisting of a photocatalyst 22f and an ultraviolet lamp 22g, to further improve the removal efficiency of pollutants and allergens in the air. When the photocatalyst 22f is irradiated by the ultraviolet lamp 22g, it can convert light energy into electrical energy, decompose harmful substances in the air pollution, and disinfect and sterilize to achieve a filtration and sterilization effect. It is worth noting that the power of the ultraviolet lamp 22g of the present invention is 120mw or more. The light irradiation can be a photoplasma unit with a nanotube 22h. When the air pollution is introduced through the nanotube 22h irradiation, the oxygen molecules and water molecules in the air pollution are decomposed into photoplasma with high oxidizing power, forming an ion gas flow that destroys organic molecules, thereby removing volatile organic compounds (VOCs) such as formaldehyde, toluene, and volatile organic compounds (VOCs) from the air pollution. The filter assembly 22 can also be used in conjunction with a decomposition unit to chemically remove air pollutants through sterilization. The decomposition unit can be a negative ion unit 22i, which causes the particles contained in the introduced air pollutants to attach to the negatively charged particles, thereby further improving the removal efficiency of air pollutants and allergens and achieving the effect of filtering and sterilizing the introduced air pollutants. The decomposition unit can be a plasma ion unit 22j, which causes the oxygen molecules and water molecules contained in the air pollutants to ionize and generate cations (H+). + ) and anion (O 2- Furthermore, substances with water molecules attached to the ions adhere to the surface of viruses and bacteria. Under the action of chemical reactions, they are transformed into highly oxidizing reactive oxygen species (hydroxyl, OH groups), thereby taking away hydrogen from the surface proteins of viruses and bacteria, oxidizing and decomposing them. This can decompose and eliminate pollutants, allergens and microorganisms in the air, improve air cleanliness, and achieve the effect of filtering and sterilizing the air pollution introduced by the filter.

[0155] In summary, this invention provides an AI-powered intelligent baby cleanroom system. Through air monitoring sensors, it continuously monitors environmental air quality, including temperature, humidity, carbon dioxide concentration, and PM2.5, and automatically activates air purification equipment. Simultaneously, in conjunction with an AI-powered intelligent computing platform connected to a cloud computing service device, it possesses AI intelligent control, intelligent energy management, and fault diagnosis capabilities. This allows the baby cleanroom environment to react quickly to real-time environmental changes, optimize system energy efficiency, and maintain optimal air quality, creating a continuously clean and healthy air environment for the baby and reducing the impact of harmful air pollutants on the infant.

Claims

1. An AI-powered intelligent baby cleanroom system, comprising: Multiple air monitoring sensors are installed in an indoor and an outdoor environment to detect air pollution and output air quality data through an Internet of Things (IoT) communication. At least one air pollution purification and treatment device is installed in the indoor environment. It is equipped with at least one air monitoring sensor, at least one fan, at least one filter component and at least one drive controller. The air monitoring sensor is electrically connected to the drive controller and receives a control command through the Internet of Things to control the start-up and operation of the fan, so as to carry out the indoor air pollution purification and near-zero cleanroom treatment. as well as At least one networked cloud computing service device, including a wireless network cloud computing service module, a cloud control service unit, a device management unit, an application unit, and an AI intelligent computing platform; At least one central control computer receives control commands from the networked cloud computing service device via the Internet of Things communication, and transmits them to the air monitoring sensor of the air pollution purification equipment to receive and control the start-up and operation of the duct fan. The networked cloud computing service device receives air quality data output from the air monitoring sensor through the Internet of Things, analyzes it based on the AI ​​intelligent computing platform, and issues intelligent control commands based on the analysis results to automatically adjust the operation mode of the air pollution purification equipment, carry out near-zero cleanroom treatment of the indoor area's circulating air pollution, and provide the indoor area with a cleanliness level of cleanroom.

2. The AI-powered intelligent baby cleanroom system as described in claim 1, wherein the air quality data includes particulate matter, carbon dioxide (CO2) concentration, temperature, and humidity.

3. The AI-powered intelligent cleanroom system for infants as described in claim 1, wherein the AI ​​intelligent computing platform includes AI intelligent control, which performs calculations based on the air quality data, automatically adjusts parameters such as air flow and purification mode through preset algorithms, thereby accurately controlling the operation of the air pollution treatment equipment according to the real-time monitoring of indoor air quality data and pollution status, optimizing system energy efficiency and maintaining optimal air quality.

4. The AI-powered intelligent cleanroom system for infants as described in claim 1, wherein the AI ​​intelligent computing platform includes intelligent energy management, which dynamically adjusts energy usage based on the indoor environment and the operating status of the air purification equipment.

5. The AI ​​intelligent baby cleanroom system as described in claim 1, wherein the air purification equipment includes a gas exchanger, a purifier, a circulating filter (FFU), an exhaust fan, a heating and cooling unit, and a humidity controller.

6. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the gas exchanger is a fresh air unit.

7. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the gas exchanger is a total heat exchanger.

8. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the gas exchanger is a heating, ventilation, and air conditioning (HVAC) unit.

9. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the heating and cooling unit is a uniform air conditioner.

10. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the heating and cooling unit is a uniform heating unit.

11. The AI-powered intelligent baby cleanroom system as described in claim 5, wherein the air conditioner is a uniformly cooling and heating air conditioner.

12. The AI-powered intelligent baby cleanroom system as described in claim 1, wherein the filter component is a filter with an MREV (Minimum Filtration Efficiency Value) of 8 or higher.

13. The AI-powered intelligent baby cleanroom system as described in claim 1, wherein the filtration component is of HEPA or higher grade.

14. The AI ​​intelligent baby cleanroom system as described in claim 13, wherein the high-efficiency particulate air filter (HEPA) is of grade 10 or above and has a dust holding capacity of more than 12,000 mg.

15. The AI-powered intelligent baby cleanroom system as claimed in claim 1, wherein the filter component is of ULPA14 filter grade.

16. The AI-powered intelligent baby cleanroom system of claim 1, wherein the filter assembly incorporates a chemical method of removing air contaminants by coating a decomposition layer.

17. The AI-powered intelligent baby cleanroom system as described in claim 16, wherein the decomposition layer is activated carbon, and the activated carbon has a formaldehyde absorption capacity of greater than 1500 mg.

18. The AI-powered intelligent baby cleanroom system of claim 1, wherein the filter component is combined with a light-irradiated chemical method to sterilize and remove air pollution.

19. The AI-powered intelligent baby cleanroom system as described in claim 18, wherein the light irradiation is a photocatalyst unit consisting of a photocatalyst and an ultraviolet lamp.

20. The AI-powered intelligent baby cleanroom system as described in claim 19, wherein the ultraviolet lamp has a power of 120mw or more.

21. The AI-powered intelligent baby cleanroom system of claim 18, wherein the light irradiation is a photoplasma unit of a nanotube.

22. The AI-powered intelligent baby cleanroom system as claimed in claim 1, wherein the filter assembly, in conjunction with a decomposition unit, chemically removes the air contaminants through sterilization.

23. The AI-powered intelligent baby cleanroom system as described in claim 22, wherein the decomposition unit is a negative ion unit.

24. The AI-powered intelligent baby cleanroom system as described in claim 22, wherein the decomposition unit is a plasma ion unit.

25. The AI-powered intelligent baby cleanroom system as described in claim 1, wherein the IoT communication is a wireless communication for wireless communication with the networked cloud computing service device, wherein the wireless communication may be one of a Wi-Fi module, a Bluetooth module, a radio frequency identification module, or a near-field communication module.

26. The AI-powered intelligent baby cleanroom system as described in claim 1, wherein the IoT communication is a wired communication, providing a wired connection for communication with the networked cloud computing service device.

27. The AI-powered intelligent cleanroom system for infants as described in claim 1, wherein the air monitoring sensor includes a control circuit board, a gas detection body, a microprocessor, and a communicator, wherein the control circuit board is electrically connected to the drive controller, and the gas detection body, the microprocessor, and the communicator are encapsulated in the control circuit board and electrically connected, and the microprocessor controls the detection operation of the gas detection body, causing the gas detection body to detect the air pollution, and the microprocessor processes the detected air pollution to output the air pollution information to the communicator for external communication transmission.

28. The AI-powered intelligent cleanroom system for infants as described in claim 1, wherein the central control computer has edge computing capabilities, and can receive and analyze the air quality data monitored by the air monitoring sensor of each air purification device via the Internet of Things (IoT) communication, generate control commands based on the analysis results, directly issue the control commands, and transmit them to the air monitoring sensor of the air purification device via the IoT communication, thereby providing control over the start-up and operation of the air duct fan, and realizing automated control and optimization of the air purification device.

29. The AI-powered intelligent baby cleanroom system of claim 1, wherein the cleanroom meets the cleanliness requirements of CLASS 7-12.

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