A distributed generic data structure for urban level building data monitoring

Abstract

Building a generic data structure that handles building realated data at an urban scale offers certain challenges. Real world entities must be captured in an environment that allows for the communication of relevent data. The associated software components must be maintainable and reliable. The present contribution describes efforts to enhance a well tested building monitoring framework to handle building data at an urban scale. This requires the development of a distributed, generic and enhancable data store, as well as the conceptualization of a modular and scalable application architecture. The scalable data store is introduced, as well as the modularization process of the application logic, including data handling and communication routines. Furthermore, the concept of Virtual Datapoints and Virtual Datapoint Collections enables urban entities (for instance buildings) to communicate their status to the system in an effective way. © 2014 IFIP International Federation for Information Processing.