Water quality data from Talkpool sensor

Introduction

Within the frame of the SCOREwater project, Talkpool installed water quality sensor at several locations in the Westlink railway tunnel construction area. The sensors measure temperature, conductivity, pH and turbidity and are used to monitor waste water quality from construction sites.

The sensors publish their data using a MQTT queue. The SCOREwater platform is subscribed to this MQTT queue and stores the data in its time series database as it comes in. Using a database view the data is converted to the WaterQualityObserved Smart Data Model before being published using different API's. For a record to be published a location of the sensor and a scale and offset factor is needed to be able to convert the incoming raw data to actual conductivity, pH and turbidity information.

Contents of the data

Data are being harmonized using FIWARE Smart Data Models. Data regarding water quality can be harmonized using the WaterQualityObserved data model The data in this dataset provide the following elements from this data model:

• id - identifier of the sensors
• recordingTimetamp - timestamp of the measurement
• location - GPS location of the sensor, GeoJSON with WGS84/EPSG:4326 coordinate
• temperature - temperature in degrees Celsius
• conductivity -
• ph -
• turbidity