Camera placement optimization for CCTV in rail transit using BIM

In an environment where completely automated lines are gaining popularity, station service employees declining yearly while passenger volume increases. many cities, the need for video surveillance with “complete coverage without dead ends” has been high. The traditional layout scheme based on design experience estimates often results in large blind spots and low efficiency monitoring. order to solve this problem, BIM technology, work develops a quantified camera optimization approach employing improved genetic algorithm. plan includes three modules: data extraction, which extracts spatial information of functional area from model generate image; module, adopts algorithm uses pixel coordinates provided by image realize pre-deployment; visualization designs simulation plug-in through secondary development simulates verifies pre-deployment, provides solutions. approach’s effectiveness was confirmed verifying deployment at platform level. optimal solution’s is 27.2% better than experience-based layout.