基于大数据思维的环境工程发展趋势分析
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  • 英文篇名:Development Trend Analysis of Environmental Engineering Based on Big Data
  • 作者:周腾腾 ; 戚永洁 ; 戴建军 ; 杨峰 ; 王俊 ; 张魏建
  • 英文作者:Zhou Tengteng;Qi Yongjie;Dai Jianjun;Yang Feng;Wang Jun;Zhang Weijian;Nanjing University &Yancheng Academy of Environmental Protection Technology and Engineering;Jiangsu Nanda-Huaxing Science and Technology of Environmental Protection Co., Ltd.;
  • 关键词:大数据 ; 环境工程 ; 发展趋势
  • 英文关键词:big data;;environmental engineering;;development trend
  • 中文刊名:广东化工
  • 英文刊名:Guangdong Chemical Industry
  • 机构:南京大学盐城环保技术与工程研究院;江苏南大华兴环保科技股份公司;
  • 出版日期:2019-04-30
  • 出版单位:广东化工
  • 年:2019
  • 期:08
  • 语种:中文;
  • 页:138+147
  • 页数:2
  • CN:44-1238/TQ
  • ISSN:1007-1865
  • 分类号:X50
摘要
在当下大数据时代,我国环境工程行业迎来了一次变革,随着大数据的应用越来越广泛,智能化工艺将逐步取代传统工艺,互联网、统计分析等领域与环境工程学科的融合,致使环境工程向多元化拓展,政府、企业等相关环保信息公开为环境工程带来了多维化管理与监督,同时大数据具有多方位统筹功能,在国家政策的扶持下环境工程将协调高效发展。
        In the current era of big data, China's environmental engineering industry ushered in a revolution. with the application of large data more and more widely, traditional technology will be gradually replaced by intelligent technology. The integration of Internet, statistical analysis and other fields with environmental engineering has led to the diversification of environmental engineering. multidimensional management and supervision was brought by disclosure of relevant environmental protection information such as government and enterprises, big data has multi-directional co-ordination function, and environmental engineering will develop harmoniously and efficiently under the support of national policy.
引文
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