Research of on-line monitoring equipment for power capacitor based on wireless sensor network

2016 ◽  
Author(s):  
Hao Yu ◽  
Zheng Qian ◽  
Junda Yao ◽  
Jiuyun Xia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Monitoring Equipment ◽  
On Line

Based on Wireless Sensor Network (NWK) of Non-Contact Tremor Monitoring Equipment Improvement for Parkinson's Disease

2015 ◽  
Vol 713-715 ◽  
pp. 491-494 ◽  
Author(s):  
De Lei Sha ◽  
Wei Cheng Xie ◽  
Xiao Long Fan ◽  
Yu Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Access ◽  
Transmission Efficiency ◽  
Wireless Sensor ◽  
Signal Acquisition ◽  
Protocol Stack ◽  
Monitoring Equipment ◽  
New Approach ◽  
Star Network

Many traditional tremor sensors are in direct contact with the human body, we tried a new non-contact manner, using the ZigBee standard protocol stack, and constitutes a wireless sensor network (Wireless Sensor Network, WSN), so that it can meet the pathological signal acquisition under low power consumption. In this experiment the main object is to capture the tremor signal from the surface of Parkinson's patients, as well as the feasibility of this new approach. Taking into account the reliability of the data and the transmission efficiency of the whole system, we use the structure of the ZigBee-based star network, and in the receiving terminal to achieve a variety of interfaces to facilitate the transfer, storage and use of other systems and data access.

Architecture of Granary Monitoring System Based on Wireless Sensor Network

2012 ◽  
Vol 271-272 ◽  
pp. 1546-1551
Author(s):  
Dao Qu Geng ◽  
Zhen Fang
Keyword(s):  
Wireless Sensor Network ◽  
Moisture Content ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Wireless Communication Protocol ◽  
Grain Moisture ◽  
On Line ◽  
First Time ◽  
Indoor Monitoring

Many research projects are involved in environmental monitoring in recent years. However, most existing studies are interest in the outdoor natural environment monitoring. Few of them focus on the indoor monitoring. This paper presents a system based on wireless sensor network (WSN) for granary monitoring including grain temperature and grain moisture content monitoring. To our best knowledge, this is the first time to provide a system based on WSN, which can measure the grain moisture content on line. The overall system architecture is described in detail. Besides, the wireless communication protocol and the network deployment are introduced.

scholarly journals A wireless sensor network for monitoring volcanic tremors

2013 ◽  
Vol 1 (4) ◽  
pp. 4305-4348
Author(s):  
R. Lopes Pereira ◽  
J. Trindade ◽  
F. Gonçalves ◽  
L. Suresh ◽  
D. Barbosa ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Sensor Array ◽  
Low Cost ◽  
Population Monitoring ◽  
Early Warning Systems ◽  
Wireless Sensor ◽  
Warning Systems ◽  
Monitoring Equipment

Abstract. Monitoring of volcanic activity is important to learn about the properties of each volcano and provide early warning systems to the population. Monitoring equipment can be expensive and thus, the degree of monitoring varies from volcano to volcano and from country to country, with many volcanoes not being monitored at all. This paper describes the development of a Wireless Sensor Network (WSN) capable of collecting geophysical measurements on remote active volcanoes. Our main goals were to create a flexible, easy to deploy and maintain, adaptable, low-cost WSN for temporary or permanent monitoring of seismic tremor. The WSN enables the easy installation of a sensor array on an area of tens of thousand of m2, allowing the location of the magma movements causing the seismic tremor to be calculated. This WSN can be used by recording data locally for latter analysis or by continuously transmitting it in real time to a remote laboratory for real-time analyses.

scholarly journals Energy-Efficient Capture of Stochastic Events based on On-line Scheduling Scheme

2020 ◽  
Author(s):  
Xiao Fu ◽  
Zongmao Cheng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Scheduling Scheme ◽  
On Line ◽  
Save Energy ◽  
Stochastic Events ◽  
Parameter Values ◽  
Posterior Estimation

Abstract We improve the off-line scheduling scheme of existing wireless sensor network. Firstly, we introduce Bayesian statistical method in synchronous wireless sensor network, then we let duration and interval, the reflection of characteristics of stochastic events, obey exponential distribution, and next we make Bayes posterior estimation on parameter. Based on Bayesian estimate, we obtain the analytical solution of the capture probability of stochastic events and sensor energy efficiency of capture events. Finally, we propose an on-line scheduling scheme for synchronous wireless sensor networks. This paper compares and analyzes the simulation experiments in on-line scheduling scheme and off-line scheduling scheme and the results show that compared with off-line scheduling scheme with constant distribution parameter values, on-line scheduling scheme can effectively reduce the probability of missing stochastic events and increase the probability of capturing events. Further save energy consumption of wireless sensor network and extend network lifetime.

scholarly journals Energy-efficient capture of stochastic events based on on-line scheduling scheme

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Xiao Fu ◽  
Zongmao Cheng ◽  
Hao Tan
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Scheduling Scheme ◽  
On Line ◽  
Save Energy ◽  
Stochastic Events ◽  
Parameter Values ◽  
Posterior Estimation

Abstract We improve the off-line scheduling scheme of existing wireless sensor network. Firstly, we introduce Bayesian statistical method in synchronous wireless sensor network. Then, we let duration and interval, the reflection of characteristics of stochastic events, obey exponential distribution. Next, we make Bayes posterior estimation on parameter. Based on Bayesian estimate, we obtain the analytical solution of the capture probability of stochastic events and sensor energy efficiency of capture events. Finally, we propose an on-line scheduling scheme for synchronous wireless sensor networks. This paper compares and analyzes the simulation experiments in on-line scheduling scheme and off-line scheduling scheme, and the results show that compared with off-line scheduling scheme with constant distribution parameter values, on-line scheduling scheme can effectively reduce the probability of missing stochastic events and increase the probability of capturing events, further save energy consumption of wireless sensor network, and extend network lifetime.

A low-cost wireless sensor network for citizen science water quality monitoring

2021 ◽  
Author(s):  
Elena von Benzon ◽  
Elizabeth Bagshaw ◽  
Michael Prior-Jones ◽  
Isaac Sobey ◽  
Rupert Perkins ◽  
...  
Keyword(s):  
Water Quality ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Base Station ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Monitoring Equipment

<p>We present the first trial of an accurate, low-cost wireless sensor, the ‘Hydrobean’, and base station designed for use by citizen scientists in catchment water quality monitoring. This novel wireless sensor network addresses key concerns identified with current volunteer monitoring programmes, including temporal discontinuity and insufficient data quality. Hydrobean continuously measures electrical conductivity, temperature and pressure and wirelessly transmits these data to an online portal for observation and download by users. These parameters can be used to assess catchment water quality status, with excursions from baseline conditions detected in real time at high temporal resolution. Citizen scientists have an increasingly important role to play in enhancing our scientific understanding of catchment water quality, but their contribution has so far been limited by barriers to access suitable monitoring equipment. Traditional grab sampling techniques result in key contamination incidents being missed and trend analysis limited as samples are analysed discretely, typically on a weekly or monthly basis. Additionally, the quality of data obtained from basic chemical test kits commonly used by citizen scientists does not meet the requirements of many data users. This research explores the role of low-cost wireless sensor networks in advancing the potential of citizen scientists in monitoring catchment water quality. Monitoring equipment available to citizen scientists generally needs to be low cost, so is unlikely to rival professional standard monitoring techniques in the foreseeable future. However, reliable, low-cost sensors which enable continuous, real-time monitoring do now exist for a limited range of water quality parameters and have been used in the development of the wireless sensor network presented here. Critically, Hydrobean and its base station are low cost, low maintenance, portable and robust in order to meet the requirements of community monitoring programmes. Ultimately, a model will be integrated into the real-time analysis of data collected by the wireless sensor network to predict when and where contamination incidents are expected to be affecting catchment water quality. We report initial field results of the Hydrobean wireless sensor network and will discuss ways in which the basic design can be improved in future versions. </p>

scholarly journals A wireless sensor network for monitoring volcano-seismic signals

2014 ◽  
Vol 14 (12) ◽  
pp. 3123-3142 ◽  
Author(s):  
R. Lopes Pereira ◽  
J. Trindade ◽  
F. Gonçalves ◽  
L. Suresh ◽  
D. Barbosa ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Low Cost ◽  
Population Monitoring ◽  
Early Warning Systems ◽  
Wireless Sensor ◽  
Warning Systems ◽  
Monitoring Equipment ◽  
Suspended Bridge

Abstract. Monitoring of volcanic activity is important for learning about the properties of each volcano and for providing early warning systems to the population. Monitoring equipment can be expensive, and thus the degree of monitoring varies from volcano to volcano and from country to country, with many volcanoes not being monitored at all. This paper describes the development of a wireless sensor network (WSN) capable of collecting geophysical measurements on remote active volcanoes. Our main goals were to create a flexible, easy-to-deploy and easy-to-maintain, adaptable, low-cost WSN for temporary or permanent monitoring of seismic tremor. The WSN enables the easy installation of a sensor array in an area of tens of thousands of m2, allowing the location of the magma movements causing the seismic tremor to be calculated. This WSN can be used by recording data locally for later analysis or by continuously transmitting it in real time to a remote laboratory for real-time analyses. We present a set of tests that validate different aspects of our WSN, including a deployment on a suspended bridge for measuring its vibration.

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