中国高等教育背景下人工智能在安全管理中的应用

Ning Ma, Jie Yang
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引用次数: 0

摘要

在高校安防信息化建设的发展过程中,随着现代互联网、虚拟化、智能化等信息技术的普及,以及未来几年数字化校园、智慧校园规划的日趋成熟,将为新时代高校安防监控管理系统的实施提供最佳的信息技术选择和有利的基础设施保障。本文的目的是通过深入研究人工智能在高校安防管理中的作用,设计一套高校安防智能管理系统,从而提高高校安防能力。本文主要应用SOA和J2EE技术,基于SOA和J2EE服务器和移动客户端,针对当前校园安全的主要隐患,设计并实现了一个校园安全智能管理系统,该系统包括日常办公、隐患管理、评估管理和安全信息管理四大功能。其中,日常办公设计包括资源共享、通知公告等。隐患管理设计包括隐患监督、隐患统计和未纠正隐患查询。考核管理包括考核成绩录入、下属单位考核和年度排名管理。安全信息管理包括安全信息浏览、安全信息查询和安全信息统计。最后,经过系统调试,各模块测试误差均为0,系统能够实现所需的功能,有效地提高了校园安全管理水平。
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The Application of Artificial Intelligence to Security Management at the Context of Higher Education in China
In the development process of security information construction in Colleges and universities, with the popularization of modern Internet, virtualization, intelligence and other information technology, as well as the maturing of digital campus and smart campus planning in the next few years, it will provide the best information technology selection and favorable infrastructure guarantee for the implementation of security monitoring management system in colleges and universities in the new era. The purpose of this paper is to design an intelligent management system for university security through in-depth study of the role of artificial intelligence in university security management so as to improve the ability of university security. This paper mainly applies SOA and J2EE technology, based on SOA and J2EE server and mobile client, aiming at the main hidden dangers of the current campus security, designs and implements a campus security intelligent management system, which includes four functions: daily office, hidden danger management, evaluation management and security information management. Among them, daily office design includes resource sharing, notice and announcement. Hidden danger management design includes hidden danger supervision, hidden danger statistics and uncorrected hidden danger inquiry. Evaluation management includes evaluation score entry, subordinate unit evaluation and annual ranking management. Safety information management includes safety information browsing, safety information query and safety information statistics. Finally, after the system debugging, the error of each module test is 0, the system can achieve the required functions and effectively improve the campus security management.
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