| 基于大数据的城市地质环境智能监管思路与方法 |
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| 引用本文： | 吴冲龙,刘刚,王力哲,张志庭.基于大数据的城市地质环境智能监管思路与方法[J].地质科技通报,2020,39(1):157-163. |
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| 作者姓名： | 吴冲龙 刘刚 王力哲 张志庭 |
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| 作者单位： | 中国地质大学（武汉）计算机学院;中国地质大学（武汉）智能地学信息处理湖北省重点实验室 |
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| 基金项目： | 国家自然科学基金项目U1711267国家自然科学基金项目U1711266"地学长江计划"核心项目CUGCJ1810湖北省创新群体项目2019CFA023 |
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| 摘 要： | 随着城市化进程加速,城市范围迅猛扩大,人口急剧膨胀,高层建筑林立,地下空间开发规模化,面临着水资源贫化、地质环境恶化和地质灾害频发等巨大挑战.为了有效地应对挑战,迫切需要在城市多要素地质环境调查并建立完善的信息系统的基础上,开展面向“智慧城市”的精细、全息三维地质建模,即建立新型的城市“玻璃国土”,实现城市地质环境时空透视,然后利用传感器、物联网和云技术,建立城市地质资源、地质环境和地质灾害动态监测数据链,最后基于地质科学大数据的同化、融合和挖掘技术,进行智能预警和管控.
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| 关 键 词： | 智慧城市 玻璃国土 三维地质建模 地学大数据 城市地质环境智能管控 |
| 收稿时间： | 2019-11-14 |
Thinking and methods of intelligent supervision of urban geological environment based on big data |
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| Wu Chonglong,Liu Gang,Wang Lizhe,Zhang Zhiting.Thinking and methods of intelligent supervision of urban geological environment based on big data[J].Bulletin of Geological Science and Technology,2020,39(1):157-163. |
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| Authors: | Wu Chonglong Liu Gang Wang Lizhe Zhang Zhiting |
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| Institution: | (School of Computer Science,China University of Geosciences(Wuhan),Wuhan 430078,China;Hubei Key Laboratory of Intelligent Geo Information Processing,China University of Geosciences(Wuhan),Wuhan 430078,China) |
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| Abstract: | With the acceleration of urbanization, the rapid expansion of scope, the rapid expansion of population, the proliferation of high-rise buildings and the large-scale development of underground space, they are faced with great challenges, such as the dilution of water resources, the deterioration of geological environment and the frequent occurrence of geological disasters.In order to meet the challenge effectively, it is urgent to carry out fine and holographic three-dimensional geological modeling oriented to "intelligent city" on the basis of urban multi-factor geological environment survey and establishment of perfect information system, that is, to establish a new type of urban "glass land", to realize the temporal and spatial perspective of urban geological environment, and then to establish urban geological resources by using sensors, Internet of things and cloud technology.Finally, based on the assimilation, fusion and mining technology of geological science big data, intelligent early warning and control are carried out. |
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| Keywords: | three-dimensional geological modeling glass land smart city geoscience big data intelligent su-pervision of ur ban geological environment |
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