Systematization and completeness assessment of source data in the life cycle management of a capital construction facility (the case of an apartment building)
Vladimir Gerc, Ilya Kievskiy, Maksim Zheleznov, Elena Shestopalova, Boris AydarovSource data of a capital construction facility is generated at the early stages of the life cycle and must be transferred between stages without loss; its completeness, reliability and machine-readability largely determine the efficiency of the facility life cycle management. Information gaps are most acute at the handover of the facility to the longest and most resource-intensive stage of the life cycle — operation, which accounts for about 75 % of total costs. In domestic practice the composition, collection methods and form of source data are not systematized or differentiated by object type and by the availability of an information model, which causes information gaps in the life cycle. The aim is to identify and systematize the features of collection and completeness assessment of source data in the life cycle management of a facility, primarily an apartment building. Using apartment buildings as an example, the composition of source data is systematized into five functional groups detailed by attribute subgroups, carriers, update frequency and responsible parties; a comparative analysis of two collection strategies — primary (inspection, laser scanning, scan-to-BIM) and model-based with COBie exchange — is carried out against seven criteria; a data collection and verification procedure and an attribute completeness coefficient are proposed. It is established that the efficiency of the facility life cycle management is determined not by the volume but by the structuring of source data and the continuity of its transfer between stages; a differentiated collection approach depending on object type and model availability and a quantitative data completeness tool are proposed.