NAkSU - New analysis methods for complex safety and environmental data

Visualisierung von Umweltdaten im kommunalen Umfeld

Research project at a glance

Modern sensor technology and mobile measuring systems enable close monitoring of environmental data and pollution. Examples are climate data and trends, pollution and emissions, or changes in the microclimate due to large-scale construction measures. Through municipalities ("Smart Cities"), but also in citizen science ("Citizen Science" and "Citizen Sensors") projects, a wide variety of sensor systems are used, which can also provide important information in the event of disasters and major damage.

Funding type

Publicly funded research


01.11.2022 to 30.11.2024

Project manager at H-BRS

Project Description

Visualisierung von Umweltdaten im kommunalen Umfeld

In order for this information to be used quickly and effectively, the data from qualitatively and technically different stationary or mobile sensor systems must be viewed in the context of local conditions, analysed and then processed in a user-friendly manner. Visualisation methods are useful here: They support the presentation, analysis and evaluation of the measurement data itself as well as the user-friendly processing and integration into virtual or real-image-based environments. Complex data, intelligently processed, can thus facilitate current decisions, support planning processes and objectively substantiate social and political discussions.

Project goal and general procedure

The project aims to build a flexible sensor and visualisation platform that can be used for testing, identifying future use cases and further research on the visualisation of complex sensory data. Future use cases could be, for example, new citizen science projects on a wide range of topics, improved planning processes or rapid response in the event of a disaster.

Modular multi-sensor nodes will be integrated for the collection of various environmental data (e.g. temperature, humidity, fine dust, pollutant gases), which can quickly provide additional basic information with GPS tracking. They are to be used stationary and, above all, mobile within the framework of the use case "Acquisition of environmental data in the urban environment". The evaluation and presentation of the data is carried out via parallel visualisation procedures. Due to the modular structure, suitable sensors for different purposes and performance requirements can be integrated as needed. On this basis, important user questions in risk and disaster management can be addressed and the presentation of complex scientific data, e.g. on air quality and climate change impacts, can be improved for citizens and decision-makers.


funded by:

Ministry of Culture and Science of the State of North Rhine-Westphalia
FKZ: 224-76.01.08-7/2022-12113
Hochschule Bonn Rhein Sieg