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Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model

机译：基于成像和胶囊网络模型的智能预防控制大数据分析系统

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摘要

With the rapid development of China's national economy, the effects of traditional public security management methods have been greatly weakened, and various new types of criminal activities have continued to occur. Social development has gradually separated from the previous model, and new social contradictions have become prominent. These social contradictions not only impact the lifestyle of ordinary individuals, but also affect the development of society. The data contains the laws of social development and crime governance. How criminal governance adapts to the big data wave has become the key to carrying out the number management in the three-dimensional security prevention and control. The data culture has promoted the transformation of the social governance model and has also led to the transformation of the social science research paradigm. At present, most of the research on big data is only from the perspective of informatics, and there is not much discussion about big data from the legal system level. With the advent of the era of big data, a series of problems have come along. In addition to strengthening the security of the big data operation process at the technical level, it is necessary to strengthen research from a technical level. In this paper, we propose a smart crime prevention and control big data analysis system based on machine Internet of Things and industrial object system. The experimental results show that the proposed method has higher data collection rate and crime prevention and control efficiency.
机译：随着中国国民经济的快速发展，传统公共安全管理方法的影响大大削弱，各种新型的犯罪活动仍在继续进行。社会发展逐渐与以前的模型分开，新的社会矛盾已经成为突出的。这些社会矛盾不仅影响了普通人的生活方式，而且影响了社会的发展。数据载有社会发展和犯罪治理定律。刑事治理如何适应大数据波已成为在三维安全防护中执行数字管理的关键。数据文化促进了社会治理模式的转型，也导致了社会科学研究范式的转型。目前，大多数关于大数据的研究只是从信息学的角度来看，并且没有大量关于法律制度级别的大数据的讨论。随着大数据时代的出现，一系列问题已经出现。除了在技术水平加强大数据运行过程的安全性之外，还必须加强技术水平的研究。本文提出了一种基于机床互联网和工业对象系统的智能防范和控制大数据分析系统。实验结果表明，该方法具有更高的数据收集率和预防犯罪和控制效率。

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