A smart city provides effective integration of physical, digital and human systems in the built environment to deliver a sustainable, prosperous and inclusive future for its citizens. When organised using the concepts of space and time, information about cities can be the basis for many powerful services, analytics and decision-making. This proposal brings to the infrastructure for experimentation under the FIESTA IoT project further spatial “intelligence” capabilities, namely the integration of IoT data with Building Information Models (BIM) as means for the management of assets in a context that can span from a single building to an entire city. For proof of concept purposes, and since it is still very early days for the integration of IoT and BIM, we build a BIM-based 3D visualisation of what we call the Smart Polyhedron Indicator, a compelling, comprehensive, seamless and dynamic representation of environmental data across several FIESTA-IoT sites. Integrating sensor-related data coming from environmental conditions presents challenges using current available standards under BIM. Our experiment addresses these challenges, generating new knowledge on how to further and systematise this integration. In summary, the specific objectives of this experiment and the overall project are:
- Investigate and further develop the inclusion of sensor data into BIM models.
- Prototype capabilities that link sensor readings or disaggregated key performance indicators to visual elements in a compound BIM-based 3D Smart Polyhedron Indicator.
- Visualise the sensor readings and indicators in a comprehensive way that is useful for urban and city planner and decision makers through the use of BIM model.
- Plan and develop a visual demonstrator using the integration services offered by the FIESTA IoT meta-platform.
- Provide specific feedback to FIESTA IoT, addressing factors, barriers or considerations that may have impacted the course of the experiment.
- Deliver reports to document the outcomes achieved.
By and large, FIESTA-IoT with meta-platform offers an excellent experimental environment for the purpose of making solid progress with the IoT-BIM convergence. Even in a single city sensors rarely belong to the same network or owner, there are multiple silos. Therefore, any dynamic city-wide BIM model should be able to interact with a federation of sensor data across those silos in order to fully grasp the whole complexity involving asset management in a urban environment.