The Application of the Wireless Sensor Network in Intelligent Monitoring of Nuclear Power Plants

2017 ◽  
pp. 179-188 ◽  
Author(s):  
Jianghai Li ◽  
Xiaojing Kang ◽  
Zhenhai Long ◽  
Jia Meng ◽  
Xiaojin Huang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Wireless Sensor ◽  
Intelligent Monitoring

Testbed Implementation of a Pollution Monitoring System Using Wireless Sensor Network for the Protection of Public Spaces

2009 ◽  
Vol 5 (4) ◽  
pp. 16-32 ◽  
Author(s):  
Siuli Roy ◽  
Anurag D ◽  
Somprakash Bandyopadhyay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Plants ◽  
Large Scale ◽  
Real Life ◽  
Public Spaces ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Simulation Tools ◽  
Consumption Rates

Air pollution is an important environmental issue that has a direct effect on human health and ecological balance. Factories, power plants, vehicles, windblown dust and wildfires are some of the contributors of to pollution. Reasonable simulation tools exist for evaluating large scale sensor networks, ; however, they fail to capture significant details of node operation or practical aspects of wireless communication. Real life testbeds, capture the realism and bring out important aspects for further research. In this paper, we present an implementation of a wireless sensor network testbed for automatic and real-time monitoring of environmental pollution for the protection of public spaces. The paper describes the physical setup, the sensor node hardware and software architecture for “anytime, anywhere” monitoring and management of pollution data through a single, Web-based graphical user interface. The paper presents practical issues in the integration of sensors, actual power consumption rates and develops a practical hierarchical routing methodology.

scholarly journals Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Jianghai Li ◽  
Jia Meng ◽  
Xiaojing Kang ◽  
Zhenhai Long ◽  
Xiaojin Huang
Keyword(s):  
High Temperature ◽  
Nuclear Power ◽  
Power Plants ◽  
Heterogeneous Data ◽  
Wireless Sensor ◽  
Support Vector ◽  
Intelligent Monitoring ◽  
Novel Algorithms ◽  
Non Gaussian ◽  
High Temperature Gas

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plants (NPPs). This technology not only reduces the cost of regular monitoring but also enables intelligent monitoring. In intelligent monitoring, large sets of heterogeneous data collected by the WSN can be used to optimize the operation and maintenance of the HTGR. In this paper, WSN-based intelligent monitoring schemes that are specific for applications of HTGR are proposed. Three major concerns regarding wireless technology in HTGR are addressed: wireless devices interference, cybersecurity of wireless networks, and wireless standards selected for wireless platform. To process nonlinear and non-Gaussian data obtained by WSN for fault diagnosis, novel algorithms combining Kernel Entropy Component Analysis (KECA) and support vector machine (SVM) are developed.

Testbed Implementation of a Pollution Monitoring System Using Wireless Sensor Network for the Protection of Public Spaces

2011 ◽  
pp. 263-276 ◽  
Author(s):  
Siuli Roy ◽  
Anurag D ◽  
Somprakash Bandyopadhyay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Plants ◽  
Large Scale ◽  
Real Life ◽  
Public Spaces ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Web Based ◽  
Consumption Rates

Air pollution is an important environmental issue that has a direct effect on human health and ecological balance. Factories, power plants, vehicles, windblown dust and wildfires are some of the contributors to pollution. Reasonable simulation tools exist for evaluating large scale sensor networks; however, they fail to capture significant details of node operation or practical aspects of wireless communication. Real life testbeds capture the realism and bring out important aspects for further research. In this article, we present an implementation of a wireless sensor network testbed for automatic and real-time monitoring of environmental pollution for the protection of public spaces. The article describes the physical setup, the sensor node hardware and software architecture for “anytime, anywhere” monitoring and management of pollution data through a single, Web-based graphical user interface. The article presents practical issues in the integration of sensors, actual power consumption rates and develops a practical hierarchical routing methodology.

Wireless Sensor Applications in Nuclear Power Plants

2011 ◽  
Vol 173 (1) ◽  
pp. 8-16 ◽  
Author(s):  
H. M. Hashemian ◽  
C. J. Kiger ◽  
G. W. Morton ◽  
B. D. Shumaker
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Wireless Sensor ◽  
Sensor Applications

scholarly journals Research on the Application of Intelligent Calibration Device for Nuclear Power Plants Based on Wireless Sensor Technology

2016 ◽  
Vol 12 (05) ◽  
pp. 22
Author(s):  
Zhe Yang ◽  
Cheng Yang
Keyword(s):  
Operating System ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Embedded Operating System ◽  
Wireless Technology ◽  
Gradual Process ◽  
Calibration Device

<span lang="EN-US">Wireless technology possesses distinct technical and economic advantages in the design, construction, and operations management of nuclear power plants. To improve the level of autonomy of nuclear power plants, we discuss the research on the international system of developing wireless technology applications for use in nuclear power plants. Further studies have enabled the extensive use of wireless technology in China’s nuclear power industry. The application of the proposed wireless sensor technology in nuclear power plants is based on reliability, environmental adaptability, electromagnetic compatibility, scalability, and maintainability requirements. Accordingly, the application will be a gradual process but wireless sensor technology needs to evolve continuously to meet these requirements. This study is designed to implement a thermal instrumentation calibration device using a Windows CE embedded operating system as the core of the test procedures in accordance with the relevant requirements. We also maximize the considerable reliability of an embedded operating system in the traditional areas of metering industry. Results show that in using wireless technology in nuclear power plant, the general thermal instrumentation calibration application of an intelligent device system is low, data accuracy is high, and the process is stable.</span>

An Intelligent Monitoring System Using a ZigBee-Base Sensor Network

2012 ◽  
Vol 182-183 ◽  
pp. 1393-1401
Author(s):  
Kun Yung Lu
Keyword(s):  
Wireless Sensor Network ◽  
Expert System ◽  
Sensor Network ◽  
Monitoring System ◽  
Monitoring Network ◽  
Wireless Sensor ◽  
Network Configuration ◽  
Intelligent Monitoring ◽  
Expert System Shell ◽  
Configuration Module

This paper presents an intelligent monitoring system based on a ZigBee-base wireless sensor network. The proposed system includes a sensor network configuration module, an expert system shell, and an event-condition-action (ECA) engine. The sensor network configuration module is used to configure the working properties of the ZigBee components and set up the monitoring network. The expert system shell enables users to define the related events occurred at system running, the threshold of working conditions for triggering the corresponding events, and the required commands for fitting the system. The ECA engine is used to monitor the system and provide a suitable command for system fitting in a specified event being fired. The proposed system enables user to quickly establish a wireless sensor network system without well-experienced knowledge about the wireless sensor network and the expert system.

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