大数据背景下智慧城管数据采集策略分析

随着我国城市的快速发展,城市管理问题也日益凸显,如夜市摊贩问题、交通拥堵问题、道路破损问题、施工工地问题、交通路灯故障问题、车辆随意停放问题、城市清洁问题等,这些问题会影响到城市的正常运转,给市民生活造成不良体验,从而受到社会的广泛关注。基于此,文中首先简要介绍了智慧城管的相关概念,然后详细讨论了传统数据采集和大数据下的智慧城管相关策略,阐述了智慧城管的相关应用。

Analysis of Smart City Management Data Acquisition Strategy in the Context of Big Data

With the rapid development of cities in China, urban management problems have become increasingly prominent, such as the problem of night market vendors, traffic congestion, road damage, construction site problems, traffic lamp failures, random parking of vehicles, urban cleanliness, etc., which will affect the normal operation of the city, create adverse experiences for some citizens, and thus attract extensive attention from the society. Based on this, this paper first briefly introduces the relevant concepts of smart city management, then discusses in detail the relevant strategies of smart city management under the traditional data collection and big data, and explores the relevant applications of smart city management.