摘要
随着物联网、云计算信息技术的迅猛发展,大数据成为一切组织运行、决策的基本要求已是一种必然趋势。采用大数据对抗雾霾将为解决迫在眉睫的空气质量污染问题提供了一种数据驱动、群防群治、可预测的解决方案。在分析大数据治污减霾必要性的前提下,提出了构建大数据治霾系统的策略,分析了数据采集的途径和应用,探讨了一种数据公开、公众参与、政府创新的治污减霾新途径。
With the rapid development of the Internet of Things and cloud computing information technology, the big data becoming the basic requirement of all organizations operation and decision-making is the inevitable trend. The big data used to resist the haze can provide a data driven, mass prevention and mass treatment, and predictable solution to solve the impending air quality pollution. Based on analysis of the necessity that the big data is used to control the pollution and reduce the haze, the strategy of constructing the haze governance system with big data is proposed, and the approach and application of data acquisition are analyzed. A new pollution control and haze reduction method of open data, public participation, and government innovation is discussed.
出处
《现代电子技术》
北大核心
2016年第5期114-116,共3页
Modern Electronics Technique
基金
西安市社会科学规划基金(14EA22)
关键词
大数据
物联网
云计算
信息孤岛
雾霾治理
big data
Internet of Things
cloud computing
information island
haze governance
作者简介
田亚楠（1981-），女，硕士，讲师。研究方向为无线移动通信。
龙波（1978-），男，博士，工程师。研究方向为数据挖掘。
