BIM BASED OPTIMIZATION OF CCTV SURVEILLANCE SYSTEM IN BUILDINGS, A CASE STUDY OF HOSPITALS

Abstract

CCTV surveillance is essential in guaranteeing the safety and security of buildings, particularly big and complex structures. The existing manual layout design approach is subjective, prone to human mistake, and lacks exact visualization of camera views, resulting in blind areas and excessive camera overlap. This study provides a novel way to optimize camera location utilizing GA and BIM. This research is divided into three sections. First, The data extraction module extracts relevant information from the BIM model using pyRevit. Second, the optimization framework, written in Python, uses GA to optimize camera placement depending upon user-defined parameters such as number of cameras or desired coverage percentage. Third, the visualization module uses pyRevit to incorporate the optimized camera placements and orientation back into the BIM model, allowing for a visual depiction of the camera configuration. A case study was conducted on the ground floor lobby of River Garden Hospital to validate the suggested framework. The manually designed camera layout was compared to the optimum layout obtained by the suggested framework. The results showed that the optimized arrangement outperformed the manual design in terms of coverage percentages and overlapping regions. Furthermore, optimizing the number of cameras resulted in improved coverage with a smaller number of cameras