基于LoRa的水库大坝智能安全监测系统研究与实现  被引量:3

Research and Implementation of a LoRa-based Intelligent Reservoir Dam Safety Monitoring System

在线阅读下载全文

作  者:谢长江[1] 梁永荣 林艳燕[2,3] Xie Changjiang;Liang Yongrong;Lin Yanyan(Sinohydro No. 8 Engineering Bureau Co., Ltd., Changsha Hunan 410004, China;Ministry of Water Resources, Ministry of Transport, National Energy Administration, Nanjing Hydraulic Research Institute, Nanjing Jiangsu 210012, China;Nanjing Automation Institute of Water Conservancy and Hydrology, Ministry of Water Resources, Nanjing Jiangsu 210012, China)

机构地区:[1]中国水利水电第八工程局有限公司,湖南长沙410004 [2]水利部交通运输部国家能源局南京水利科学研究院,江苏南京210012 [3]水利部南京水利水文自动化研究所,江苏南京210012

出  处:《电气自动化》2021年第3期16-19,共4页Electrical Automation

摘  要:针对水库大坝安全监测系统功耗大、可扩展性弱和无线传输距离短的问题,提出一种基于LoRa的水库大坝智能安全监测系统技术方法。以ARM LPC1788为MCU平台,集成LoRa无线通信模块设计智能监测终端;采用具有LoRa与4G透传功能的低功耗中继模式,通过云平台接收数据,实现水库大坝多要素安全数据智能采集及分析。工程应用分析监测结果表明,系统技术方法适用于水库大坝复杂密闭环境下多要素智能监测,具有覆盖范围广、组网简单和多类型数据同步传输稳定等特点,应用效果良好。In view of the defects of the reservoir dam safety monitoring system,such as large power consumption,weak expandability and short wireless transmission distance,a Lora-based intelligent reservoir dam safety monitoring system was proposed.With ARM LPC1788 working as MCU platform,LoRa wireless communication modules were integrated to design an intelligent monitoring terminal.A low-power consumption relay mode with LoRa and 4G unvarnished transmission functions was adopted,data were received through the cloud platform,and intelligent collection and analysis of multi-factor reservoir dam safety data was realized.Results of engineering monitoring and analysis indicated that the proposed technique was suitable to intelligent multi-factor intelligent monitoring in the complex,enclosed environment of the reservoir dam,had such characteristics as wide coverage,simple networking and stable synchronous transmission of multi-type data,and could produce good effect in actual applications.

关 键 词:LoRa技术 智能监测终端 低功耗中继网关 水库大坝安全监测 

分 类 号:TP29[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象