Optimization Study of Water Treatment Plant Surveillance Camera Arrangement

The use of video surveillance for real-time management of factories has become increasingly common. For traditional fixed surveillance cameras, selecting and arranging them properly is crucial for ensuring the smooth operation of water treatment plants. With complex facilities and various obstructions within the plant, a balance needs to be struck between monitoring scope and cost. Therefore, it is necessary to establish an effective digital plane model to optimize the layout of cameras in water treatment plants. By building an optimization model, it is possible to achieve full coverage of the entire monitoring area with the minimum number of cameras. This study takes a water treatment plant in Beijing as an example, where the optimization problem of camera placement is transformed into a minimum subset coverage problem. A greedy algorithm is utilized to solve the problem. And the satisfactory results demonstrate the effectiveness of the method.