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In order to improve the modeling accuracy and response efficiency of the police tactical training simulation system, and improve the tactical skill level of police officers, a design method for the police tactical training simulation system based on big data and cloud computing technology is proposed. Design the overall architecture of the system using cloud computing technology, construct a hierarchical model of the police tactical training simulation system, and determine the main responsibilities of each layer of the system during operation; Design the information management module, main control module, judgment module, information collection module, and scenario control module according to the overall system architecture, and complete the hardware design of the system; Innovatively introducing fully convolutional twin networks and big data technology in software design to reconstruct similar block groups and optimize image quality; Apply Sketchup software to process basic vector maps, construct training scene vector maps, and conduct three-dimensional modeling of police tactics training scenes to achieve simulation training of police tactics. The experimental results show that the peak signal-to-noise ratio of the image processed by the proposed method is 65.9dB, and the structural similarity is 0.923. It has high image acquisition quality, 3D modeling accuracy, and system response efficiency. It can provide a reliable basis for the three-dimensional modeling of police tactical training scenarios and effectively optimize the tactical training effectiveness of police officers.