TW202329052A - Air quality intelligent monitoring system - Google Patents

Abstract

An air quality intelligent monitoring system is provided, which includes: an indoor air quality sensor for sensing indoor air quality sensing data; a cloud server for collecting outdoor air quality sensing data; a computer for receiving the indoor air quality sensing data and the outdoor air quality data to generate control signals; and an Internet of Things master device for receiving the control signals to control the startup and shutdown of the Internet of Things slave devices. In this way, by predicting the air quality and automatically starting the Internet of Things devices, the effect of automatically cleaning the environment is achieved.

Description

Air Quality Smart Monitoring System

The invention relates to an air quality monitoring technology, in particular to an air quality intelligent monitoring system.

Because the air will naturally circulate and infiltrate, the indoor space will naturally introduce outdoor air to complete the ventilation cycle, which is a natural ventilation operation. However, the natural ventilation may be slow due to the closed doors and windows, resulting in indoor air quality. Therefore, many interior designs will install exhaust fans or systems, that is, forced ventilation operations. The ventilation operation time is set and the ventilation device is activated and closed by manual operation.

Generally speaking, the concentration of carbon dioxide in the outdoor air is around 400PPM. As far as indoor air is concerned, the human body is the largest pollution source of carbon dioxide concentration. The value is 1000PPM of carbon dioxide concentration. Therefore, the above indoor and outdoor ventilation operations are a relatively common practice in order to effectively reduce the concentration of carbon dioxide. However, outdoor air pollution has the hazards of fine suspended particles (PM _2.5 ), assuming that other gases are not considered as hazards for the time being. For evaluation, if the concentration of fine suspended particulates (PM _2.5 ) is high outdoors, only consider the high concentration of indoor carbon dioxide and carry out indoor and outdoor ventilation operations. Although the concentration of carbon dioxide is reduced, it brings in high concentrations of fine suspended particulates (PM _2.5 ) If there is no harm, the meaning of indoor and outdoor ventilation operations will no longer exist.

The present invention provides an air quality intelligent monitoring system, which can automatically clean the environment by predicting outdoor air quality, detecting indoor air quality, and automatically activating Internet of Things (IoT) devices.

The air quality intelligent monitoring system provided by the present invention includes: a plurality of indoor air quality sensors for sensing a plurality of indoor air quality sensing data, a cloud server for collecting a plurality of outdoor air quality sensing data, A computer connected to a plurality of indoor air quality sensors and a cloud server for receiving a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data to generate a plurality of control signals, and a computer coupled to the computer and used for An IoT master device that receives multiple control signals to control activation and shutdown of multiple IoT slave devices.

In an embodiment of the present invention, the above-mentioned smart air quality monitoring system further includes: a display connected to a computer for displaying a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data.

In an embodiment of the present invention, the above air quality intelligent monitoring system further includes: a computer connected to the main control device of the Internet of Things and used to receive multiple control signals from the computer and transmit multiple control signals to the main control device of the Internet of Things interface circuit.

In an embodiment of the present invention, the plurality of indoor air quality sensing data and the plurality of outdoor air quality sensing data include at least PM _2.5 concentration and carbon dioxide (CO ₂ ) concentration.

In an embodiment of the present invention, the plurality of Internet of Things slave devices include ventilation devices, air conditioners, air purifiers, dehumidifiers, and ultraviolet sterilizers.

In one embodiment of the present invention, when the indoor fine suspended particle concentration is greater than the first threshold value and the indoor carbon dioxide concentration is greater than the second threshold value, the main control device of the Internet of Things receives a control signal from the computer through the interface circuit to activate the ventilation device, Wherein the first threshold value is 35μg/m ³ , and the second threshold value is 1000PPM.

In one embodiment of the present invention, when the outdoor fine suspended particulate concentration is greater than the first threshold value and the outdoor carbon dioxide concentration is greater than the second threshold value, the main control device of the Internet of Things receives a control signal from the computer through the interface circuit to close the ventilation device, Wherein the first threshold value is 35μg/m ³ , and the second threshold value is 1000PPM.

In one embodiment of the present invention, when the concentration of indoor fine suspended particles is greater than the first threshold, the main control device of the Internet of Things receives a control signal from the computer through the interface circuit to start the air purifier, wherein the first threshold is 35 μg/m ³ .

In an embodiment of the present invention, the above-mentioned cloud server includes an artificial neural network for generating a plurality of outdoor air quality prediction data based on a plurality of outdoor air quality sensing data.

In an embodiment of the present invention, the above air quality intelligent monitoring system further includes: connected to a computer for displaying a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data, and remotely controlling the computer to generate Electronic devices for multiple control signals.

The present invention achieves the effect of automatically cleaning the indoor environment by using the artificial neural network to predict the outdoor air quality, the indoor sensor to sense the indoor air quality, and the Internet of Things technology to automatically control the air cleaning device.

In order to make the above and other objects, features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

Please refer to FIG. 1 , which is a schematic diagram of an air quality intelligent monitoring system provided by an embodiment of the present invention. The air quality intelligent monitoring system 1 of the present invention includes a plurality of indoor air quality sensors 2, a cloud server 3, a computer 4, an Internet of Things master control device 5, a plurality of Internet of Things slave devices 6, a display 7, an interface circuit 8, and the electronic device 9 .

In this embodiment, a plurality of indoor air quality sensors 2 are used to sense a plurality of indoor air quality sensing data, and at least include a carbon dioxide (CO ₂ ) concentration sensor for sensing carbon dioxide concentration and a sensor for A fine aerosol (PM _2.5 ) sensor that senses the concentration of fine aerosols. In this embodiment, the cloud server 3 is used to collect a plurality of outdoor air quality sensing data, and includes an artificial neural network 31 to generate a plurality of outdoor air quality prediction data based on the plurality of outdoor air quality sensing data, so as to Provide artificial intelligence air quality forecasts for the next 24 hours in order to grasp the diffusion trend of outdoor air quality in a timely manner. Multiple outdoor air quality sensing data include at least carbon dioxide concentration and fine suspended particle concentration. The artificial neural network 31 is preferably a long-short-term memory (LSTM) temporal recurrent neural network to predict air quality conditions, such as air pollution, based on large data collection of outdoor air quality.

In this embodiment, the computer 4 is connected to a plurality of indoor air quality sensors 2 and a cloud server 3, and is used to receive a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data to determine indoor and outdoor. The air quality status, such as comparing the pollutants, the efficiency of regional pollution improvement, whether the pollution spill control is effective, etc., can automatically generate multiple control signals. The computer 4 can be a personal computer, a notebook computer, a tablet, a smart phone, etc. A processing device, a processor, a processing unit, and a microprocessor with logical operation capabilities such as a mobile phone, and the connection means can be a wired connection or a wireless connection. In this embodiment, the display 7 is connected to the computer 4, and is used to display a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data, such as displaying indoor and outdoor air quality lights, so that users can know the indoor and outdoor air quality. The outdoor air quality condition allows the user to control the computer 4 locally to generate multiple control signals.

In this embodiment, the interface circuit 8 is connected to the computer 4 and used to receive a plurality of control signals generated by the computer 4 . The Internet of Things master control device 5 is connected to the interface circuit 8, and is used to receive multiple control signals transmitted by the interface circuit 5 to control the activation and shutdown of a plurality of Internet of Things slave devices 6, wherein the plurality of Internet of Things slave devices 6 include at least a switch Air conditioning device, air conditioner, air purifier, dehumidifier and ultraviolet sterilizer.

In this embodiment, the electronic device 9 is connected to the computer 4, and is used to display a plurality of indoor air quality sensing data and a plurality of outdoor air quality sensing data, such as displaying indoor and outdoor air quality lights, so as to let the user know the indoor air quality. and outdoor air quality conditions so that the user can remotely control the computer 4 to generate multiple control signals, wherein the electronic device 9 can be a handheld device, a wearable device, etc. that have a wireless connection with the computer 4 in order to display indoor and outdoor air quality sensing data, and can remotely control the computer 4 to send control signals to indirectly control the activation and shutdown of multiple IoT slave devices 6 .

In one example, when the computer 4 judges that the received indoor fine aerosol concentration is greater than a threshold value such as 35 μg/ ^m3 and the indoor carbon dioxide concentration is greater than a threshold value such as 1000PPM, the computer 4 generates a control signal or directly generates a ventilation device activation signal, The main control device 5 of the Internet of Things receives a control signal from the computer 4 or an activation signal of the ventilating device through the interface circuit 8 to activate the ventilating device, thereby exchanging indoor and outdoor air.

In one example, when the computer 4 judges that the received outdoor fine aerosol concentration is greater than a threshold value such as 35 μg/ ^m3 and the outdoor carbon dioxide concentration is greater than a threshold value such as 1000PPM, the computer 4 generates a control signal or directly generates a ventilation device shutdown signal, The main control device 5 of the Internet of Things receives the control signal from the computer 4 or the closing signal of the ventilation device through the interface circuit 8 to close the ventilation device, thereby avoiding the exchange of indoor and outdoor air.

In one example, when the computer 4 judges that the received indoor fine aerosol concentration is greater than a threshold value such as 35 μg/m ³ , the computer 4 generates a control signal or directly generates an air cleaner start signal, and the main control device 5 of the Internet of Things passes the interface circuit 8. Receive the control signal of the computer 4 or the start signal of the air cleaner to start the air cleaner, and then purify the indoor air.

It should be noted that the present invention is not limited to the above-mentioned examples, those skilled in the art of the present invention can arbitrarily combine the above-mentioned examples, or can add other different schemes of the present invention based on the indoor and outdoor air quality data to automatically control objects The slave device 6 is connected to the network to achieve the effect of cleaning the indoor environment.

To sum up, the intelligent air quality monitoring system of the present invention achieves automatic cleaning of the indoor environment by using artificial neural networks to predict outdoor air quality, indoor sensors to sense indoor air quality, and using Internet of Things technology to automatically control air cleaning devices effect.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Those with ordinary knowledge in the technical field of the present invention can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be defined by the scope of the appended patent application.

1 Air quality intelligent monitoring system 2 Indoor Air Quality Sensors 3 cloud server 4 computers 5 IoT Master Control Device 6 IoT slave devices 7 monitors 8 interface circuit 9 electronic devices 31 Artificial Neural Networks

FIG. 1 is a schematic diagram of an air quality intelligent monitoring system provided by an embodiment of the present invention.

1: Air quality intelligent monitoring system

2: Indoor air quality sensor

3: Cloud server

4: Computer

5: IoT master control device

6: IoT slave devices

7: Display

8: Interface circuit

9: Electronic device

31:Artificial Neural Networks

Claims (10)

An air quality intelligent monitoring system, comprising: A plurality of indoor air quality sensors are used to sense a plurality of indoor air quality sensing data; A cloud server for collecting multiple outdoor air quality sensing data; A computer, connected to the indoor air quality sensors and the cloud server, for receiving the indoor air quality sensing data and the outdoor air quality sensing data to generate a plurality of control signals; and An Internet of Things master control device, coupled to the computer, is used to receive the control signals to control the activation and shutdown of multiple Internet of Things slave devices. The air quality intelligent monitoring system as described in claim 1 further includes: A display, connected to the computer, is used to display the indoor air quality sensing data and the outdoor air quality sensing data. The air quality intelligent monitoring system as described in claim 1 further includes: An interface circuit connects the computer and the IoT main control device, and is used for receiving the control signals from the computer and transmitting the control signals to the Internet of Things main control device. The air quality intelligent monitoring system as described in Claim 3, wherein the indoor air quality sensing data and the outdoor air quality sensing data at least include fine suspended particulate (PM _2.5 ) concentration and carbon dioxide (CO ₂ ) concentration. The air quality intelligent monitoring system as described in claim 4, wherein the IoT slave devices include ventilators, air conditioners, air purifiers, dehumidifiers and ultraviolet sterilizers. The air quality intelligent monitoring system as described in claim 5, wherein when the indoor fine suspended particulate concentration is greater than a first threshold value and the indoor carbon dioxide concentration is greater than a second threshold value, the main control device of the Internet of Things receives the information through the interface circuit A control signal from the computer is used to activate the ventilation device, wherein the first threshold value is 35 μg/m ³ , and the second threshold value is 1000 PPM. The air quality intelligent monitoring system as described in claim 5, wherein when the outdoor fine suspended particulate concentration is greater than a first threshold value and the outdoor carbon dioxide concentration is greater than a second threshold value, the main control device of the Internet of Things receives the information through the interface circuit A control signal from the computer to close the ventilation device, wherein the first threshold value is 35μg/m ³ , and the second threshold value is 1000PPM. The air quality intelligent monitoring system as described in claim 5, wherein when the indoor fine suspended particulate concentration is greater than a first threshold value, the main control device of the Internet of Things receives a control signal from the computer through the interface circuit to start the air cleaning machine, wherein the first threshold value is 35 μg/m ³ . The air quality intelligent monitoring system as described in Claim 1, wherein the cloud server includes an artificial neural network for generating a plurality of outdoor air quality prediction data based on the outdoor air quality sensing data. The air quality intelligent monitoring system as described in claim 1 further includes: An electronic device, connected to the computer, is used to display the indoor air quality sensing data and the outdoor air quality sensing data, and remotely control the computer to generate the control signals.