Design an environment monitoring IoT based solar power device to collect and store environmental data in various pollutant content and analyze the data for preventive measures.
To maintain effective air monitoring networks and provide real-time access to air quality data.
To support completion of climate action plans in each district of the state, and build the necessary capacity to guarantee sustained implementation.
Project Development:
PM 2.5 sensor, Ground O3 sensor, CO sensor, SO2 sensor and a GPS Sensor was integrated with the microcontroller along with a solar panel.
The microcontroller was connected to IoT based cloud server for data collection, analysis and data storage.
The IoT device was tested in various location in Jorhat.
Project Findings (Urban Areas):
PM 2.5 levels in these specified areas have averaged around 350 ppm, reflecting a significant presence of particulate matter in the ambient air.
Temperature and humidity have demonstrated an average range of 27°C and 55%, respectively, providing additional insights into the atmospheric conditions prevailing in these urban settings.
CO concentrations exhibit a substantial spike, registering an average of 60 ppm in areas characterized by heightened vehicular concentration.
Project Findings (Sub Urban Areas):
PM 2.5 concentration in this locale averages at 400 ppm, indicative of a notable particulate burden in the atmosphere.
Ammonia content in the air has been recorded at an average of 55 ppm, signaling a concerning level of this pollutant in the immediate vicinity.
Elevated PM 2.5 and ammonia levels warrants targeted strategies for air quality management and pollution control in these identified areas.
Collaborative efforts with local authorities, market stakeholders, and environmental agencies may be pivotal in devising and implementing effective measures to improve air quality and mitigate the impact on public health.