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首页> 《中国测试》期刊 >本期导读>山区天然气管道滑坡位移监测系统设计

山区天然气管道滑坡位移监测系统设计

321    2020-08-19

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作者:李国政1, 杨观赐2

作者单位:1. 贵州省广播电视信息网络股份有限公司,贵州 贵阳 550023;
2. 贵州大学 现代制造技术教育部重点实验室,贵州 贵阳 550025


关键词:天然气管道;位移监测;LoRa技术;监测系统;深部位移


摘要:

针对山区天然气管道的滑坡位移监测,传统的基于声波、环向应变等方式的监测系统存在监测效率低、安全隐患发现不及时等问题,因此设计基于物联网的山区天然气管道位移监测系统。系统采用B/S体系结构,在.NET开发平台进行实现,以确保监测系统的整体运行效率。整个系统由感知层、传输层、应用层与系统软件层构成,感知层中采用导轮式固定测斜仪、土压力计、孔隙水压计等多种传感器,通过统筹布置提高传感数据的采集效率。在系统软件层中对各项监测数据进行综合分析与管理,通过分析土压力和地下水位数据实现滑坡的准确预警,并能够根据地表位移监测数据及时发现潜在风险。在贵州遵义的燃气荣昌坝末站的应用结果表明,系统具有较高的可靠性和监测效率。


Monitoring system design for landslide displacement of natural gas pipeline in mountain area
LI Guozheng1, YANG Guanci2
1. Guizhou Radio and Television Information Network Co., Ltd., Guiyang 550023, China;
2. Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China
Abstract: For the landslide displacement monitoring of natural gas pipeline in mountain area, the traditional monitoring system based on sound wave and circular strain has some problems of low monitoring efficiency and delayed detection of safety hazards. Therefore, the displacement monitoring system of natural gas pipeline in mountain area based on Internet of things is designed. Based on C/S architecture, the system is implemented on the .NET development platform to ensure the overall operation efficiency of the monitoring system. In the sensing layer, a variety of sensors such as fixed inclinometer, earth pressure gauge and pore water pressure gauge are used to improve the acquisition efficiency of sensing data through overall arrangement. In the system software layer, the comprehensive analysis and management of various monitoring data are carried out to realize accurate early warning of landslides by analyzing the data of earth pressure and groundwater level, and the potential risks can be found in time according to the monitoring data of surface displacement. The results of application in Rongchangba gas station in Zunyi, Guizhou Province show that the system has high reliability and monitoring efficiency.
Keywords: natural gas pipeline;displacement monitoring;LoRa technology;monitoring system;deep displacement
2020, 46(8):87-93  收稿日期: 2020-04-14;收到修改稿日期: 2020-05-07
基金项目: 国家自然科学基金(61863005);贵州省科技计划项目([2020]6007,[2018]5781,G[2014]4001)
作者简介: 李国政(1974-),男,贵州铜仁市人,研究员级高级工程师,硕士,主要研究领域为智能系统、物联网技术
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