Description:Patent: - IN202241006767
Titled: - Artificial Intelligence-Based Indoor Air Quality Monitoring and Control System
Disclosure: - An automated IoT and AI system is being used to monitor the indoor air quality environment and keep the criteria pollutants in check. Temperature, humidity, and concentration of pollutants like particulate matter (PM 2.5), Ozone, Carbon Monoxide, Nitrogen Dioxide, and Ammonia are being done using the DHT 11, PMS5003, and MQ135 sensors respectively. ESP8266 microcontroller is being used for transferring collected data to the cloud server. Once the pollution level is increased, the system controls the air purifier accordingly. An ionic-based Android application has been developed exclusively for this system which displays the real-time values from the sensors. The artificial intelligence analysis in the google cloud platform with the help of Grafana, the data can be visualized and deep analysis done.
Problem: -
In this system, less no. of sensors has been used, indicating an inaccurate analysis of the air quality. The microcontroller is outdated and cannot tolerate higher voltage. Moreover, the model cannot filter out harmful pollutants like VOCs and viruses or bacteria cannot be removed.
Solution: -
We have used more sensors for accurate measurement of the air quality index. MQ135: Carbon Dioxide, Benzene, Sulphur, Alcohol, Ammonia, Smoke, and Dust MQ2: LPG, Smoke, Alcohol, Propane, Hydrogen, Methane, and Butanal MQ7: Carbon Monoxide DHT 11: Temperature and Humidity. We have also used IoT but an all-rounded 3-step filtration including filtration of particulate matter, removal of VOCs and other harmful gases along with deactivation of bacteria and viruses.
Patent: - IN202041046678
Title: - An IoT model for air-pollution quality monitoring system using Cloud management
Disclosure: - 6 LINES (SUMMARY OF ABSTRACT)
An air pollution quality monitoring system has been developed by using cloud management and raspberry pi for IoT and edge computing. This framework is being used to monitor and predict the level of air quality for warning against toxic levels. Information such as gas levels O3, CO, HCT, CH4, NCH4, SO2, H2S, NO, NOx and NO2 are being examined. The solution also allows the data gathered to be viewed and reviewed through predictive modeling that can manufacture pollution maps.
Problem: -
The cost is too high due to the microcontrollers being used and quite a few factors of air quality are not being considered.
Solution: -
We are using cloud storage however the display shows a graphical analysis. Moreover, our device is cost-effective. It is also powered by solar energy making it eco-friendly and ensuring a one-time investment.
Patent: - CN207599944
Titled: - Air purifier based on NB-IOT
Disclosure: - An air purifier based on NB-IoT has been devised by implementing functions such as remote monitoring and control. The air detection module consists of a temperature and humidity sensor which is sent to the central processor module through the NB-IoT communication module which transmits the comparison result to a mobile terminal. Sensors for particulate matter and harmful gases such as formaldehyde, nitric oxide, and ammonia are being monitored in this model. The module carries out air purification according to purifying the instruction, does the transmission course adopt NB the communication module of the IOT technique, its network signal is good, and it cannot effectively transmission monitor information to have solved under the poor condition of nos broadband network, mobile data or its signal, purify and instruct, etc.
Problem: -
This device has a complex system where the user interface is difficult to use. It connects many devices making the operation time longer and decreasing the efficiency of purification. Considering the complicated circuit, it has higher power consumption and is prone to technical issues. Moreover, the components may be hard to replace as they are not available in the Indian market.
Solution: -
Our system incorporated the use of renewable solar energy making it eco-friendly and at the same time cutting down electricity costs. It is also a simple design that is suitable for the Indian market. Our solution provides a cloud-based system that can be accessed from anywhere. It also provides a graphical analysis of the surrounding air quality along with temperature and humidity. , Claims:We claim,
1. We have used a three-step filtration procedure in our system. The steps are filtration of Particulate Matter (PM 2.5); removal of bacteria, deactivation of viruses; removal of Volatile Organic Compounds (VOCs), and other harmful gases.
2. This is an eco-friendly and green device powered by renewable energy. We used solar panels for power generation.
3. Our system has an IoT-based interface. Sensors are used for analysis of the surrounding Air Quality Index (AQI).
4. In our system an alert system is integrated with the internal circuit in case of a short circuit or smoke or LPG leakage.
5. In the system HEPA filters are increased efficiency and a filter replacement indicator is also used in the device.
6. Far UV-C LED strips used for removal of bacteria and viruses and aroma diffuser used for odor control.