Application of Wireless Sensor Networks on Power Plants Monitoring

2013 ◽  
Vol 321-324 ◽  
pp. 762-766 ◽  
Author(s):  
Shou Zhi Huang ◽  
Xue Zeng Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Power Plants ◽  
Electrical Current ◽  
Current Data ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Wireless Monitoring ◽  
Labview Software

The traditional wired monitoring system for power plants is complex and hard to detect when the system faces some problems. The idea of monitoring the environment of power plants wirelessly is proposed to solve this problem. The feasibility of applying wireless sensor networks to power plants monitoring is analyzed. Then a wireless monitoring system based on XBee modules which are using ZigBee technology is designed. The temperature and electrical current data are gathered by sensors attached to the XBee modules and transferred to the PC controller through mesh network. An interface between coordinator and controller is designed utilized LABVIEW software to read data and send commands. In the end, a three nodes demo system is built up to testify the design.

Ammeter Interface Device and Monitoring System Based on Wireless Sensor Networks

2011 ◽  
Vol 219-220 ◽  
pp. 900-903
Author(s):  
Min Sheng Tan ◽  
Hai Tao Tian ◽  
Qiong Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Real Time Monitoring ◽  
Wireless Monitoring ◽  
Community Monitoring ◽  
Monitoring Center ◽  
Interface Device

A kind of wireless monitoring interface device based on wireless sensor networks for ammeters was proposed. Ammeters connected by UART or pulse interface to get ammeters’ real-time data. Then, an ammeter monitoring system based on wireless sensor networks (AMSBW) was designed. The system consist building-WSN and community wireless monitoring center. And user’s ammeters, ammeter wireless monitoring interface devices and building-sink nodes were included in the building-WSN; the center sink node and monitoring host were contained in community monitoring center. The functions of real-time monitoring, remote control and preventing electricity-stolen were designed in the AMSBW which had simple installation and configuration. Then a software system to test the AMSBW was exploited. At last, system’s tests results show that it could effectively achieve the goal of real-time monitoring and control ammeter.

Coal mine monitoring system based on ZigBee wireless sensor networks

2014 ◽  
Vol 27 (5) ◽  
pp. 436-442 ◽  
Author(s):  
Shangbin Jiao ◽  
Dan Song ◽  
Qing Zhang ◽  
Jinwei Tang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Coal Mine ◽  
Wireless Sensor

scholarly journals Design and experimental implementation of monitoring system in wireless sensor networks

2018 ◽  
Vol 8 (6) ◽  
pp. 350-359 ◽  
Author(s):  
Fekher Khelifi ◽  
Abbas Bradai ◽  
Med Lassaad Kaddachi ◽  
Priyanka Rawat
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Experimental Implementation

scholarly journals A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Glauco Feltrin ◽  
Nemanja Popovic ◽  
Kallirroi Flouri ◽  
Piotr Pietrzak
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Processing ◽  
Monitoring System ◽  
Life Assessment ◽  
Wireless Sensor ◽  
Quality Data ◽  
Railway Bridges ◽  
Strain Cycle

Wireless sensor networks have been shown to be a cost-effective monitoring tool for many applications on civil structures. Strain cycle monitoring for fatigue life assessment of railway bridges, however, is still a challenge since it is data intensive and requires a reliable operation for several weeks or months. In addition, sensing with electrical resistance strain gauges is expensive in terms of energy consumption. The induced reduction of battery lifetime of sensor nodes increases the maintenance costs and reduces the competitiveness of wireless sensor networks. To overcome this drawback, a signal conditioning hardware was designed that is able to significantly reduce the energy consumption. Furthermore, the communication overhead is reduced to a sustainable level by using an embedded data processing algorithm that extracts the strain cycles from the raw data. Finally, a simple software triggering mechanism that identifies events enabled the discrimination of useful measurements from idle data, thus increasing the efficiency of data processing. The wireless monitoring system was tested on a railway bridge for two weeks. The monitoring system demonstrated a good reliability and provided high quality data.

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

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