Remote Monitoring System for Direct Current Power

2013 ◽  
Vol 313-314 ◽  
pp. 524-529
Author(s):  
Ren Li Liu ◽  
Yi Zhan ◽  
Bin Yan ◽  
Hui Juan Wang

With the purpose of remote centralized monitoring for DC Power, the paper has the scheme of the system of on-line real-time monitoring based on Web, and emphatically introduces the design and development of the monitoring server. The system realizes collecting, storage and real-time display of multiple DC Power, which makes the crews monitor the real-time working condition of DC wherever they could access the Internet. The system has good extensibility and a promising prospect in practical.

2014 ◽  
Vol 687-691 ◽  
pp. 747-750
Author(s):  
Cheng Hao Han ◽  
Jun Ping Zhu ◽  
Hao Li ◽  
Xing Tong Wang

As it is impossible to conduct real-time monitoring on slope condition of highways, a remote monitoring system has been specially designed. Making use of GPRS technology, Labview and solar power, the system has realized nobody monitor on slope anchor system, automatic collection of slope pressure and displacement data. It enjoys advantages such as high-accuracy, real-time monitoring and high-reliability. Among existing effective monitoring ways, massive man-power is needed for on-field work, but real-time monitoring is still left to be achieved.


2012 ◽  
Vol 263-266 ◽  
pp. 853-856
Author(s):  
Jun Wu ◽  
Tao Sun ◽  
Xiang Guo Yang

To solve the problems in the slope monitoring that needs man on scene to get real time monitoring data, this paper designs a remote monitoring system based on wireless sensor networks for side slope. With this system, users can get the quasi-real time monitoring data far from monitoring spot. This project adopts the wireless sensor networks technology, and the design comprises four modules according to the system function. The frame of the system, the design and function of each module are introduced in this paper. It proves that the system is feasible by experimental results, and the design has its practical value.


2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.


2005 ◽  
Vol 49 (2) ◽  
pp. 272-285 ◽  
Author(s):  
Joshua Mendoza-Jasso ◽  
Gerardo Ornelas-Vargas ◽  
Rodrigo Castañeda-Miranda ◽  
Eusebio Ventura-Ramos ◽  
Alfredo Zepeda-Garrido ◽  
...  

2014 ◽  
Vol 898 ◽  
pp. 618-623
Author(s):  
Meng Xia An ◽  
Ji Ping Xu ◽  
Xiao Yi Wang ◽  
Jia Bin Yu ◽  
Hui Yan Zhang ◽  
...  

In view of the methods on remote monitoring of the rivers and lakes water quality are relatively single and low efficiency in supervision at present, this page puts forward a kind of design method of the internet of things system about remote monitoring system based on GPRS/3G technology. The system can realize multi-point data integration, processing, integration and real-time results releasing, with GPRS/3G remote data communication technology as the core, and send the information accesses to the buoys placed on the waters surface, mobile intelligent instruments, and the water quality monitoring ark placed on the water bank via GPRS/3G module to the superior intelligence analysis system, which realizes the real-time display in the GIS map, water quality evaluation, bloom forecast, decision-making, etc. Practice has proved that this system is stable and reliable, and provided the effective monitoring of the rivers and lakes water quality and management decision of algae blooms emergency for the environmental protection department.


2014 ◽  
Vol 599-601 ◽  
pp. 1115-1119 ◽  
Author(s):  
Jing Luo Cai ◽  
Guan Li ◽  
Xiang Li Bu ◽  
Xian Guo Liu ◽  
Hua Lu Xing

By studying the occurrence and distribution of landslide disaster, remote monitoring system for landslide hazard was developed which using STM32 microcomputer and GPRS comunication technology. The changes of slope inclination, slope displacement and rainfall were acquained in real time. Experimental results showed that the use of the system on the slope of geological disaster monitoring is convenient and with stable performance.


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


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