Social Public Security Management in Intelligent City Based on Fast Big Data Analysis

DOI

10.2991/ssme-18.2018.31How to use a DOI?

Keywords

Intelligent City;Grid management Fast Big Data Analysis; Social Public Security Management; Data Hierarchy and Knowledge Map Model;

Abstract

Social public security management is an important component in the current construction of intelligent cities in China. There have been scale construction of information system for social public security management, which has been widely applied, generating abundant information data in the city’s “grid” management process. However, in the actual construction process of intelligent city, due to the data conversion between various information systems and various restrictions for interconnection, further promotion and use of the social public security management has been seriously affected. In some big cities, every day there are tens of millions of new sensors collecting big data and store it for a long time. And it is difficult to meet the requirement of real-time management through the exchange between traditional information systems, urgently needing intelligent analysis and process to give full play to the application value. Taking solving “noise disturbance” as an example, introduces that the “Fast Big Data Analysis” method will dynamically realize the perception of social public security situation, performs predictive judgment and management guidance based on city-level data resource sharing and urban “grid” management, to effectively improve the overall management performance of the social public security management in the intelligent city.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tong Zhu
PY  - 2018/06
DA  - 2018/06
TI  - Social Public Security Management in Intelligent City Based on Fast Big Data Analysis
BT  - Proceedings of the Asia-Pacific Social Science and Modern Education Conference (SSME 2018)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssme-18.2018.31
DO  - 10.2991/ssme-18.2018.31
ID  - Zhu2018/06
ER  -