Environment Monitoring System
An Internet of Things (IoT) solution designed to cover environmental monitoring, including:
- Air Quality
- Water Quality
- Weather Stations
involves a network of interconnected sensors, data collection devices, and analytics platforms. Here's a breakdown of each sector and its related sensors:
air Quality Monitoring system
Sensors:
- Particulate Matter (PM) sensors for detecting fine particles (PM2.5 and PM10).
- Gas sensors for measuring concentrations of pollutants like carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and volatile organic compounds (VOCs).
- Temperature and humidity sensors for climate data.
Devices:
- Air quality monitoring stations equipped with the above sensors.
Data Collected:
- Real-time measurements of air pollutant concentrations, temperature, and humidity.
Applications:
- Health monitoring for individuals with respiratory conditions.
- Environmental impact assessments for urban planning.
- Early warning systems for pollution events.
water quality monitoring system
Sensors:
- pH sensors for acidity/alkalinity.
- Turbidity sensors for water clarity.
- Dissolved oxygen sensors.
- Conductivity sensors for salinity.
- Heavy metal detection sensors.
- BOD/COD
- Bromine
- Clorine
Devices:
- Water quality monitoring buoys, probes, or submerged stations.
Data Collected:
- Parameters such as pH levels, turbidity, dissolved oxygen levels, conductivity, and presence of contaminants.
Applications:
- Monitoring drinking water sources.
- Detecting pollution events in rivers, lakes, or oceans.
- Supporting aquaculture by maintaining optimal water conditions.
- Swimming Pools, Fish Farms and Dairy Famrs
- Water Treatment Stations
weather stations
Sensors:
- Temperature sensors.
- Humidity sensors.
- Barometric pressure sensors.
- Anemometers for wind speed and direction.
- Rain gauges.
- Solar radiation sensors.
- Wind speed and Wind Directin
- O3 Sensor
Devices:
- Weather monitoring stations placed in strategic locations.
Data Collected:
- Real-time weather data including temperature, humidity, air pressure, wind speed, wind direction, precipitation, and solar radiation.
Applications:
- Weather forecasting for agriculture, transportation, and disaster preparedness.
- Climate research and analysis.
- Energy management for solar and wind power generation.
