scholarly journals C1.4 - A Wireless Sensor for Ingot Mold Temperature Monitoring

2011 ◽  
Author(s):  
S. Mamaschew ◽  
M. Vossiek ◽  
I. Hüllen ◽  
J. Schlüter
2017 ◽  
Vol 13 (07) ◽  
pp. 100
Author(s):  
Yecong He ◽  
Min Tan

<p><span style="font-family: 宋体;">Considering the indoor temperature monitoring and energy saving control technology, based on the traditional low energy adaptive clustering hierarchy (LEACH), a multi-hop clustering routing algorithm is proposed. By adding a threshold in LEACH, the algorithm makes the nodes with high residual energy and high nodes become cluster heads. The results show that the improved algorithm can effectively prolong the life cycle of wireless sensor networks. Based on above findings, it is concluded that the proposed algorithm can save the system energy and improve the network energy efficiency.</span></p>


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Qingsong Hu ◽  
Lixin Wu ◽  
Fei Geng ◽  
Can Cao

WSN (wireless sensor network) is a perfect tool of temperature monitoring in coal goaf. Based on the three-zone theory of goaf, the GtmWSN model is proposed, and its dynamic features are analyzed. Accordingly, a data transmission scheme, named DTDGD, is worked out. Firstly, sink nodes conduct dynamic grid division on the GtmWSN according to virtual semicircle. Secondly, each node will confirm to which grid it belongs based on grid number. Finally, data will be delivered to sink nodes with greedy forward and hole avoidance. Simulation results and field data showed that the GtmWSN and DTDGD satisfied the lifetime need of goaf temperature monitoring.


2018 ◽  
Vol 19 (5) ◽  
pp. 929-956 ◽  
Author(s):  
Joe-Air Jiang ◽  
Min-Sheng Liao ◽  
Tzu-Shiang Lin ◽  
Chen-Kang Huang ◽  
Cheng-Ying Chou ◽  
...  

2017 ◽  
Vol 13 (04) ◽  
pp. 75 ◽  
Author(s):  
Liqun Hou ◽  
Shudong Tan ◽  
Lei Yang ◽  
Zhijuan Zhang ◽  
Neil Bergmann

The feasibility of using thermal energy harvesting to power a wireless sensor node for temperature monitoring of industrial devices is explored and evaluated in this paper. The thermal energy harvesting equipment and energy conversion circuit have been designed and fabricated. A series of experiments with various sleep periods for the sensor node are undertaken. The experimental results show that the thermal energy harvesting equipment and energy conversion circuit are able to power a commercial wireless node when the sleep period of the node is more than 16s, equating to a duty cycle of 5.4%. The results also indicate that the wireless sensor network based on the proposed autonomous wireless sensor node can monitor the industrial device temperature successfully.


2011 ◽  
Vol 7 (2) ◽  
pp. 107-111
Author(s):  
Ali Abed ◽  
AbdulAdhem Ali ◽  
Nauman Aslam

In this paper we present the details of methodology pursued in implementation of an HMI and Demo Temperature Monitoring application for wireless sensor-based distributed control systems. The application of WSN for a temperature monitoring and control is composed of a number of sensor nodes (motes) with a networking capability that can be deployed for monitoring and control purposes. The temperature is measured in the real time by the sensor boards that sample and send the data to the monitoring computer through a base station or gateway. This paper proposes how such monitoring system can be setup emphasizing on the aspects of low cost, energy-efficient, easy ad-hoc installation and easy handling and maintenance. This paper focuses on the overall potential of wireless sensor nodes and networking in industrial applications. A specific case study is given for the measurement of temperature (with thermistor or thermocouple), humidity, light and the health of the WSN. The focus was not on these four types of measurements and analysis but rather on the design of a communication protocol and building of an HMI software for monitoring. So, a set of system design requirements are developed that covered the use of the wireless platforms, the design of sensor network, the capabilities for remote data access and management, the connection between the WSN and an HMI software designed with MATLAB.


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