Method for Automatically Computing the Automation Capabilities of a Building

The present invention discloses a Method for automatically computing the automation capabilities of a building; said method comprises the steps of: i) providing a plurality of SRI calculation rules and creating a performance semantic model from said plurality of SRI calculation rules; ii) creating a building sematic model and retrieving mappings between the performance semantic model and the building semantic models and optionally adding information about building’s documentation to the retrieved mappings; iii) providing a building digital representation for the existing building, said building digital representation being in the form of a semantic building model; iv) computing a partial performance model for the retrieved matches by using the available digital building representation to automatically retrieve building’s capabilities that are relevant for the SRI computation; iv) providing a guided user interface for completing the computation for building services that are not found in the digital building representation; and v) computing and reporting the SRI calculation, the scores at the different impact criteria and preferably as well as a justification for each score. Thus, the present invention paves a way allowing for automatically computing the capabilities of a building in terms of automation and autonomy additionally guiding a Smart Readiness Indicator (SRI) score assessment for non-digitally available information (e.g. documents/schemas/plans) which finally leads to complete SRI computation for existing buildings. Since the method now facilitates to automatically compute scores for at least a subset of the services, a system can periodically recompute the performance of a large number of buildings and can offer an actual status of a fleet of buildings in terms of automation and autonomy. The guide for experts helps to compute the final SRI scores of buildings by helping in finding the information for the missing scores which results in a significant reduction in the time needed for getting a clear picture of the building performance.