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The technical performance assessment of a building is essential for planning maintenance actions to improve its condition and functionality. The aim of this study is to present a Building Inspection System to evaluate the technical performance of existing buildings. To do so, a questionnaire survey to identify the defects that majoritarily affect the technical performance of a building was conducted. The system was then validated in a university campus including 22 buildings. The results revealed three main applications of the proposed system: a comprehensive asset analysis, a building operating analysis and a risk analysis system.

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End users' maintenance requests gathered from computerized maintenance management systems (CMMS) configure a rich source of information to evaluate the occupants' satisfaction and the building systems. Nevertheless, the nonstandardized data gathered from CMMS makes it difficult to carry out analytics. This paper presents a text mining approach to extract information from end users' maintenance requests and an analysis of 6,830 maintenance requests derived from 46 buildings including offices, academic buildings and laboratories along two and a half years. The research results reveal that the most common maintenance requests during building operation and maintenance are related to problems in electrical and HVAC fixtures. Although the year of construction is not related to the occupants' maintenance requests, the type of building use and building property do influence them. The implementation of control and preventive strategies based on these results can increase facility managers' productivity and building systems' performance.

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