The flexible integration of sensor data from several sources with different concepts is a interesting current research topic. This talk will show a solution which is developed as part of the “ActOnAir” project. The aim of “ActOnAir” is the development of a mobile recommendation system based on personalized environment sensor information in the e-health section. The talk focuses the sensor integration part. The system receives information from the following sources: mobile sensor devices (for particulate matter, ozone, etc.); activity trackers; human sensor information from smartphone apps. Additionally different online services for air quality data or weather information will be merged. Social Media information from concepts like “Collective Sensing” are also possible. Considering the interoperability of the sensor information the persistence of the information for data mining and visualization will be based on Sensor Web Enablement (SWE) standards. In respect to the flexibility and scalability, the presented approach will be based on microservices which provide the different sensor sources, processing steps for integration as well as sinks (such as a Sensor Observation Service (SOS)). The integration process can be defined in data streams using the provided services as modules. Also tapping into existing streams is possible. The deployment on different platforms will be easily supported, because of the microservice approach. During the talk the overall integration system concept, as well as the development of central modules, will be shown.