The City Council of the Dutch city of Tilburg, whose objective was to check the environmental status related to water, air quality and noise pollution, has relied on Ericsson and Libelium to install an IoT platform around the Puishaven area, center, to control and manage environmental data.

Ericsson has partnered with Libelium to deploy a complete wireless sensor network to measure different parameters related to air and water quality, such as temperature, humidity, pressure, carbon dioxide (CO2), nitric oxide (NO2) ), ozone (O3) and particulate matter (PM 1, PM 2.5, PM 10). In relation to water quality, the project includes pH and conductivity probes. Apart from this data, we also measure sound and ultrasound levels, as well as the number of Bluetooth and Wi-Fi devices in an especially busy area of ​​the city.

Air, water and noise quality sensors

The Libelium sensor network that has been deployed in Piushaven is comprised of five Waspmote Plug & Sense! Smart Environment: one of them to measure temperature, humidity and pressure, three other sensors to measure the levels of carbon dioxide (CO2), nitric oxide (NO2) and ozone and the last, the dust sensor, to measure matter particulate. As for measuring water quality, the network includes two Waspmote Plug & Sense! Smart Water. One will collect information about the pH of the water and the other about the conductivity. In this case, three different calibration kits are included.

To measure sound levels, two Waspmote Plug & Sense! Smart City. One is a microphone (dBSPLA) and the other is an ultrasound probe. The Libelium Noise Level Sensor measures the LAeq (Equivalent Continuous Sound Level) parameter in dBA units. LAeq is the most used parameter in noise measurements. It is used by most countries to measure worker exposure to noise, as there is no time constant and correlates with the effect of the risk of hearing damage. It is common practice to measure noise levels using the A-weighted adjustment included in all sound meters.

The communication between the different elements of the network is done according to different wireless protocols. Thus, communication between the devices and the IoT gateway is performed using the Xbee PRO 2.40 Ghz protocol. Between the gateway and the cloud the communication to download data periodically passes through Wi-Fi and Ethernet connection to the local database. All data collected is analyzed and visualized in the cloud created by Ericsson, the Ericsson IoT Accelerator, and in a display screen designed to suit the needs of the customer. In fact, the main requirement of the project is to check the environmental status of water quality, air quality and noise levels to be displayed on a public website. The objective of the project is to provide an open platform where the environmental quality of the city can be monitored. Through analytical tools, Ericsson’s cloud platform combines all the data received for an intelligent analysis of the same. The final objective is to have a predictive system to predict the movements of people passing through the area (on foot, by bicycle or by car) depending, for example, on the meteorological conditions and indicate what impact will occur in the noise environmental protection of the area.