| 滑坡监测预警云平台系统的设计及应用 |
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| 引用本文： | 杨小平,黄然,王洋,刘光辉. 滑坡监测预警云平台系统的设计及应用[J]. 华侨大学学报(自然科学版), 2022, 43(1): 59-64. DOI: 10.11830/ISSN.1000-5013.202009053 |
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| 作者姓名： | 杨小平 黄然 王洋 刘光辉 |
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| 作者单位： | 1. 桂林理工大学 信息科学与工程学院, 广西 桂林 541004;2. 桂林理工大学 广西嵌入式技术与智能系统重点实验室, 广西 桂林 541004;3. 桂林赛普电子科技有限公司, 广西 桂林 541000 |
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| 基金项目： | 国家高新技术研发计划（863计划）（2013AA12210504）；;广西壮族自治区科技攻关项目（AC1638012）;广西壮族自治区科技攻关项目（AD18281068）； |
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| 摘 要： | 设计一套滑坡监测预警的云平台系统,采用模块化设计方式建立云平台系统网络,开发独立的监测管理软件系统;在云平台中建立灰色Verhulst模型,对实测数据进行处理,通过灰色Verhulst模型对边坡的变形趋势进行预测,预测边坡可能产生滑坡的时间,实现对滑坡的提前预警.系统经过调试后部署于广西百色市田林县公路两旁的边坡进行实测,结果表明:滑坡云平台系统能够有效地监测边坡的变形,通过灰色Verhulst模型可实现对山体滑坡的预警.
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| 关 键 词： | 滑坡预警 边坡变形监测 云平台系统 灰色Verhulst模型 |
Design and Application of Landslide Monitoring and Early Warning Cloud Platform System |
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| YANG Xiaoping,HUANG Ran,WANG Yang,LIU Guanghui. Design and Application of Landslide Monitoring and Early Warning Cloud Platform System[J]. Journal of Huaqiao University(Natural Science), 2022, 43(1): 59-64. DOI: 10.11830/ISSN.1000-5013.202009053 |
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| Authors: | YANG Xiaoping HUANG Ran WANG Yang LIU Guanghui |
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| Affiliation: | 1. College of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin 541004, China; 3. Guilin Saipu Electronic Technology Limited Company, Guilin 541000, China |
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| Abstract: | A set of cloud platform system for landslide monitoring and early warning is designed, cloud platform system network is established by modular design, and independent monitoring and management software system is developed. The gray Verhulst model is built in the cloud platform to process the measured data, and the deformation trend of the slope and the possible time of landslide are predicted by the gray Verhulst model, and the early warning of the landslide can be realized. After debug, the system is deployed on the slopes on both sides of the road in Tianlin County, Baise City, Guangxi for actual measurement. The results show that the system can effectively monitor the deformation of the slope, and the gray Verhulst model can realize the early warning of landslides. |
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| Keywords: | landslide warning slope deformation monitoring cloud platform system grey Verhulst model |
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