Integrating spatio-temporal near real-time data into KomMonitor via MQTT and Node-RED
As a founding partner of KomMonitor, Hochschule Bochum, in collaboration with 52°North, is committed to the ongoing development of the platform. The university plays a key role in shaping the future strategic direction of KomMonitor, particularly by integrating current and relevant research topics.
Modern urban monitoring increasingly relies on integrated data management systems to streamline neighborhood development. Such a neighborhood data infrastructure has potential to serve as a platform for citizens, planners, municipalities, and businesses to exchange information, focusing on energy and mobility topics. Its goal is to facilitate participatory and sustainable living in future neighborhoods, using important sensor data from the environmental, mobility, and climate sectors. Consequently, KomMonitor must facilitate the integration of real-time sensor data streams to accommodate use cases stemming from the IoT sector. Conceivable use cases could be:
- Spatial and temporal aggregation of hourly electricity consumption/production data from buildings
- (Near) real-time visualization of mobility data and movement flows Analysis of current and historical environmental and climate data
A central objective is to integrate real-time and time series data, which involves 52°North extending the existing KomMonitor data model. The team is also investigating methods for linking real-time data streams to KomMonitor via Node-RED. The project will enhance the platform’s capabilities to include the aggregation and visualization of this time series data. Finally, a significant effort is dedicated to migrating the KomMonitor user interface to the Angular framework.

