Realtime Air Quality Monitoring System

The Realtime Airquality Monitoring System updates on a Real Time basis the Data of CO, CO2, SO2, NO2 Sensors along with Ambient RH & Temp. The purpose of this is to demonstrate the Nanosensors developed and Fabricated at CeNSE-IISc. Along with Machine Learning and Data Analytics it gives Real Trend of Pollutants in the Environment. The Cloud Hosted Data Base updates all 6 Sensors Data once in ~50secs.

AQM Displaying Sensor Currents along with Temp & RH

AQM Deployed in Field to Monitor Pollutants

Model	Air CeNSE 2.0
Detectable Gases	CO,NO2,SO2,CO2
Max Detectable Gas Concentration range (xx/m3)	CO-mg/m3 \| CO2-ppm \| NO2(ug/m3) \| SO2(ug/m3) 10 \| 1000 \| 100 \| 100
Detectable Particle size	2.5µm - 10µm
Humidity Sensor Range	40%RH to 100%RH
Temperature Sensor Range	25°C to 85°C
Noise Max Level	120dB
Pressure Sensor Range	5psi to 16 psi
Supply Voltage	DC 5V
Storage Temperature	25°C to 85°C
Battery Backup-Continuous	4 Hr
Dimensions-TBD	~110(W) \| ~50(H) \| ~165(L)
Weight-TBD	~500gm

The Design of AQM is based on STM32F411 Arm Cortex M3 Microcontroller and has a Microcontroller board which has a Display Interface, Battery Charging Circuit, GSM Interface, LCD display, Keypad, SD Card Interface and samples the 6 Sensors Data with ADC and Mux Configuration.

The Final unit is connected to Cloud to update all 6 Sensors Data on a Grafana Data base with 1 minute update on a real time basis.

There is a Signal Conditioning Board with Transconductance Amplifier to program the 4 sensor and heater Voltages . In addition a RH/ Temperature Sensor measures the ambient environment condition.

The Firmware is written for boot up and for sensor, heater ramp up happens and reads the sensor current. The values of Each Sensor converted units of levels are done using an appropriate Algorithm.