Facility maintenance and management (FMM) is an emerging issue in civil engineering. Decisions involving
maintenance-related tasks are generally made based on various sources of accumulated historical
data, such as design drawings, inspection records, and sensing data. Systems are developed for storing
and maintaining such maintenance-related data electronically in a database. However, the data-accessing
method of these systems is based mainly on text input in Web form, which is occasionally insufficiently
intuitive to interpret retrieved information for decision making. Besides simple data management practices,
the feasibility of implementing analysis on FMM-related data to provide estimated or predictive
information for decision making should be examined. This paper presents an expert system model for
the maintenance and management of existing facilities. A prototype system was developed for concept
proofing. A 3D facility model is introduced in the system as the interface for accessing various maintenance-
related data intuitively. Various maintenance-related data and analysis results should be presented
visually on the model as much as possible to provide users with an intuitive understanding of
the facility status in many aspects. Behind the 3D visualized interface is a database that integrates and
stores various maintenance-related data systematically. This database information should be accumulated
continuously via input from users and sensors in appropriate formats. Moreover, a reliability-based
module should analyze the accumulated data periodically to provide predictive forecast information,
subsequently facilitating decision making during maintenance.