IoT Solutions
Pollution is one of the biggest problems affecting people’s quality of life in cities.
In an increasingly contaminated world, being aware of air quality is often problematic. Thanks to IoT technology, key parameters can be monitored and acted upon.
By 2050, outdoor air pollution (particulate matter and ground-level ozone) is predicted to become the leading cause of environment-related deaths worldwide.
What Smart Environment projects look for…
Increases
Reduces
Sound interesting… And which are the main applications of this technology?
Cities
The European Environment Agency started to encourage Cities to monitor the Air Quality Index and then inform citizens about air quality, measuring NO2, NO, CO, O3, SO2, PM2.5 and PM10.
Farms
Real-time monitoring of emissions on farms by measuring CH4 (methane) and NH3 (ammonia) levels.
Factories
Industries and factories (along with households) are one of the main sources of PM (particulate matter emissions).
Villages
Controling air quality in villages to attract and promote sustainable tourism, while reducing the impact on the environment.
Fight climate change
Monitor global warming by measuring temperature and CO2 concentration levels.
Source: United States Environmental Protection Agency.
| AQI Category | PM10 (μg/m3 in 24hr avg) | PM2.5 (μg/m3 in 24hr avg) | NO2 (ppb in 1h avg) | O3 (ppb in 8h avg) | CO (ppb in 8h avg) | SO2 (ppb in 1h avg) |
|---|---|---|---|---|---|---|
| Good (0-50) | 0-54 | 0-12 | 0-53 | 0-54 | 0-4.4 | 0-35 |
| Moderate (51-100) | 55-154 | 12.1-35.4 | 54-100 | 55-70 | 4.5-9.4 | 36-75 |
| Unhealthy for sensitive (101-150) | 155-254 | 35.5-55.4 | 101-360 | 71-85 | 9.5-12.4 | 76-185 |
| Unhealthy (151-200) | 255-354 | 55.5-150.4 | 361-649 | 86-105 | 12.5-15.4 | 186-304 |
| Very unhealthy ( 201-300) | 355-424 | 150.5-250.4 | 650-1249 | 106-200 | 15.5-30.4 | 305-604 |
| Hazardous (301+) | 425+ | 250.5+ | 1250+ | 405+ | 30.5+ | 605+ |
Smart Environment is a product designed to detect different parameters and pollutant gases that affect air quality.
Interoperability:
High accuracy sensors from specialized manufacturers are integrated to offer the greatest efficiency.
Calibrated gases sensors are useful to measure the exact value in PPM’s of a gas concentration, it is designed to be used in applications requiring accurate readings and exact concentrations.
Particle Matter Sensor – commonly known as “Dust Sensor” – integrated. This sensor allows to measure PM1, PM2.5, and PM10 particles. This sensor comes also calibrated from the factory.
Solar powered, long battery life.
Physical features:
Air Quality Station
The new Air Quality Station allows the monitorization of the AQI to control pollution at cities and industries.
Main features:
• Measurement of the main air quality parameters: PM, CO, NO2, NO, O3, SO2
• Maximum accuracy thanks to cutting-edge hardware and machine learning algorithm
• Noise level and meteorological parameters measurement
• Removable sensor cartridge for quick sensor exchange
• Communication via 4G
• Real-time data visualization through Libelium Cloud
• Robust, handy, and user-friendly
Smart Environment PRO
Smart Environment PRO | Plug&Sense! enables the Air Quality Index (AQI) calculation, thanks to electro-chemical gas sensors providing extremely accurate ppm values and a high-end Particle Matter sensor.
Available sensors:
• Temperature, humidity and pressure
• Carbon Monoxide (CO) for low concentrations
• Carbon Dioxide (CO2)
• Oxygen (O2)
• Ozone (O3)
• Nitric Oxide (NO)
• Nitric Dioxide high accuracy (NO2)
• Sulfur Dioxide high accuracy (SO2)
• Ammonia (NH3)
• Methane (CH4) and Combustible Gas
• Hydrogen Sulfide (H2S)
• Particle Matter (PM1 / PM2.5 / PM10) – Dust 1
Wireless communication protocols available to connect devices
ENE.HUB's SMART.NODE grants security, connectivity, environmental control and even Electric Vehicle Charging station to Cal State Fullerton with a streetlight pole that integrates Libelium IoT solutions.
A Smart Farming project with Libelium's IoT technology helps to reduce pollution and optimize the management of livestock production in Romania.
The construction of the Bilbao Metropolitan South Bypass in a natural environment, close to residential areas requires the measurement of Libelium sensors for precise control of the polluting agents of the development.
Hungary's first smart agriculture lab is a first step in-field monitoring, digitization, and LoRaWAN network expansion.
