基于物联网的智能电源监控系统设计  

Design of intelligent power monitoring system based on IoT

作　　者：王琪明 李怀良[1,2] 荣文钲[2,3] 程亮玮 WANG Qiming;LI Huailiang;RONG Wenzheng;CHENG Liangwei(School of National Defense Science and Technology,Southwest University of Science and Technology,Mianyang 621010,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,China;Sichuan University of Science and Engineering,Zigong 643000,China;School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China)

机构地区：[1]西南科技大学国防科技学院,四川绵阳621010 [2]成都理工大学地质灾害防治与地质环境保护国家重点实验,四川成都610059 [3]四川轻化工大学,四川自贡643000 [4]西南科技大学信息工程学院,四川绵阳621010

出　　处：《传感器与微系统》2021年第12期119-121,128,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金委面上资助项目(41774118);国家自然科学基金青年科学基金资助项目(41704175);四川省科技厅重点研发项目(2019YFG0294)。

摘　　要：针对地震勘探中设备供电电源数量庞大、分布广泛和管理困难等问题,设计了一种基于物联网(IoT)的智能电源监控系统。系统的电源数据采集单元实时采集电源的状态信息,通过通用分组无线业务(GPRS)无线通信技术传送到数据处理中心进行数据分析、存储和监控。数据处理中心与地图软件结合实现电源的定位。同时,客户端实现对电源状态的实时监控。实际应用表明:系统可实现电源状态的实时监控、位置跟踪和电源特性分析,可以降低电源故障率,在野外勘探中可以大大提高勘探效率。Aiming at the problems of large quantity, wide distribution and difficult management in seismic exploration.An intelligent power monitoring system based on Internet of Things(IoT) is designed.The power data acquisition unit of the system collects the state information of the power in real time and transmits it to the data processing center for data analysis, storage and monitoring through general packet radio service(GPRS) wireless communication technology.Data processing center and map software combined to realize the location of power.At the same time, the client realizes real-time monitoring of power state.The practical application shows that the system can realize the real-time monitoring of power state, position tracking and power characteristic analysis, reduce the power failure rate, and greatly improve the exploration efficiency in field exploration.

关 键 词：物联网 电源系统 地震勘探 通用分组无线业务 实时监控 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置] TP212[自动化与计算机技术—控制科学与工程]