边缘计算在智能安防系统中的应用

Jiqiang Zhang, Pengcheng Liu
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引用次数: 0

摘要

边缘计算技术的兴起和发展,解决了大数据时代海量数据的问题,为智能安防系统的发展提供了新的方向。边缘计算将数据在靠近数据源的边缘进行分析、计算和存储,降低了网络传输负担和云中心的计算压力,提高了整个系统的效率。为了解决智能安防系统中海量数据的问题,提出了一种可行的基于边缘计算的智能安防系统架构,该架构分为感知层、边缘层、传输层和应用层四个部分。基于边缘计算的智能安防系统可以充分发挥边缘计算在计算能力、实时性和安全性方面的优势,更好地满足实时监控、风险评估、预警和智能决策服务的需求,从而促进安防水平的全面提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of edge computing in intelligent security system
The rise and development of edge computing technology have solved the problem of massive data in the era of big data, and provided a new direction for the development of intelligent security systems. Edge computing analyzes, calculates and stores the data at the edge near the data source, which reduces network transmission burden and the computing pressure of the cloud center and improves the efficiency of the whole system. In order to solve the problem of massive data in intelligent security system, a feasible architecture of intelligent security system based on edge computing is proposed, which is divided into four parts: perception layer, edge layer, transport layer and application layer. The intelligent security system based on edge computing can take full advantages of edge computing in terms of computing ability, real-time and security, and better meet the needs of real-time monitoring, risk assessment, early warning and intelligent decision-making services, so as to promote the comprehensive improvement of security level.
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