摘要
The current spatial layout of video surveillance in urban residential areas primarily relies on the subjective assessments of personnel,which often results in issues like inadequate surveillance quality and inefficient resource use.To enhance monitoring effectiveness and ensure the rational allocation of surveillance resources,this paper proposes an optimization method for the spatial layout of residential video surveillance aimed at crime prevention.First,the residential area is divided into grids.From a crime prevention perspective,we construct an expected resource allocation matrix that outlines the demand for surveillance in each grid section.Next,we develop a surveillance resource contribution matrix to illustrate the coverage provided by the video surveillance systems.Additionally,candidate locations for surveillance cameras are identified based on the spatial structure of the residential area,ensuring that buildings do not obstruct the view.Using these components,we establish a spatial layout optimization model for residential video surveillance,which is then solved using a genetic algorithm.Finally,we present a simulation example to demonstrate the model’s applicability and effectiveness in enhancing the quality of residential video surveillance networks while optimizing resource allocation.
基金
Funded by Research Project of the Chinese Society of Criminology in 2022 (Key)(FZXXH2022B03)
Science and Technology Development Project of China Railway Sixth Institute Group Co.,Ltd.(Key)(ky202423)
Research Project on Innovative Development of Social Sciences in Anhui Province (2020CX033)。
