Rules complexity classification for Automated Compliance Checking

Buildings are growing in complexity and so laws and standards; traditional code checking, as well as laws creation, are no more sustainable, especially in terms of information management (storage, elaboration, update, etc.). This research is focused on the creation of a new automated compliance checking process, looking not only at how rules are checked, but also at how rules are created; this involves the classification of rules in different categories and their elaboration, to translate them from plain language (although it usually is a “complex language”) to computer-readable language, associated to attributes implemented in the Asset Information Model by the various stakeholders during building life (since early design to operation). This paper presents a preliminary classification of rules usually found in building codes, standards and laws. Some examples are shown to demonstrate the robustness of the classification provided.