基于大数据及云计算技术的警务战术训练仿真系统设计

摘要:

为了提升警务战术训练仿真系统的建模精度和响应效率,提高警员的战术技能水平,提出基于大数据及云计算技术的警务战术训练仿真系统设计方法。利用云计算技术设计系统的总体架构,构建警务战术训练仿真系统的分层模型,确定系统各层在运行过程中的主要职责；根据系统总体构架设计信息管理模块、主控模块、判定模块、信息采集模块和情景控制模块,完成系统的硬件设计；在软件设计中创新地引入全卷积孪生网络和大数据技术,重构相似块组,优化图像质量；应用Sketchup软件处理基本矢量图数据,构建训练场景矢量图,对警务战术训练场景进行三维建模,以此实现警务战术的仿真训练。实验结果表明,应用所提方法处理后的图像峰值信噪比为65.9dB,结构相似度为0.923,具有较高的图像采集质量、三维建模精度和系统响应效率。可为警务战术训练场景的三维建模提供可靠依据,有效优化警员的战术训练效果。

Abstract:

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.