Framework on a Prediction Model for Building Repair & Maintenance Using Big Data Analytic Approach

Big Data 분석 방법론을 이용한 건물 유지보수 예측 모형 기본 방안 개발

The maintenance and repair period consists the largest part of a construction project life cycle cost. However, it has been analyzed that the repairing plan relies on regulations and the officers' experience mostly that sometimes lead to performing unnecessary work. Moreover, the data occurred during repairing have not been stored in a system that can be used in future plans. Therefore, the purpose of this study is to suggest a repairing cost and time predicting model by applying the properties of the building.