Intelligent monitoring system design of coal mine ventilation based on internet of things technology

2015 ◽  
pp. 255-258
Author(s):  
W Li ◽  
G Hao ◽  
G Li ◽  
H Wang
Keyword(s):  
Internet Of Things ◽  
System Design ◽  
Monitoring System ◽  
Coal Mine ◽  
Mine Ventilation ◽  
Intelligent Monitoring ◽  
Internet Of Things Technology

scholarly journals Geotechnical Engineering Slope Monitoring Based on Internet of Things

2018 ◽  
Vol 14 (06) ◽  
pp. 165
Author(s):  
Xiaobing Hou
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Reliability Theory ◽  
Monitoring Data ◽  
The Internet ◽  
Slope Monitoring ◽  
The Stability ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Rock And Soil

<p class="0abstract"><span lang="EN-US">T</span><span lang="EN-US">o improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope </span><span lang="EN-US">wa</span><span lang="EN-US">s studied. A multi parameter remote monitoring system based on the technology of Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s proposed.</span><span lang="EN-US">By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, </span><span lang="EN-US">we</span><span lang="EN-US">re collected.</span><span lang="EN-US">Through the Internet of things technology, the key data </span><span lang="EN-US">we</span><span lang="EN-US">re transmitted to the monitoring room. The wireless transmission of the monitoring data </span><span lang="EN-US">wa</span><span lang="EN-US">s completed. Using information fusion technology, database management and Web service, the monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re classified and managed.</span><span lang="EN-US">Through the data analysis, the reliability theory </span><span lang="EN-US">wa</span><span lang="EN-US">s used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s verified.</span><span lang="EN-US">The results show</span><span lang="EN-US">ed</span><span lang="EN-US"> that the stability of the slope </span><span lang="EN-US">wa</span><span lang="EN-US">s influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re important for slope prediction. T</span><span lang="EN-US">o sum up, t</span><span lang="EN-US">he reliability theory is more suitable for the stability analysis of the local slope and the section.</span></p>

scholarly journals Intelligent Home Monitoring System Based on Internet of Things

2017 ◽  
Vol 13 (10) ◽  
pp. 21 ◽  
Author(s):  
Xijuan Wang
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Monitoring System ◽  
Home Environment ◽  
Remote Monitoring ◽  
Base Station ◽  
Sensor Nodes ◽  
Remote Monitoring System ◽  
Intelligent Home ◽  
Internet Of Things Technology

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">To realize the remote monitoring and intelligent management of the home environment, intelligent home remote monitoring system is developed based on the Internet of things technology. By using RF transceiver chip and GPRS technology, a smart home system scheme for wireless networks is established. The hardware and software design of sensor nodes and GPRS wireless communication base station is completed. Sensor nodes are used to monitor the acquisition of field data. Based on GPRS technology, the wireless communication base station realizes the uploading of monitoring data. The wireless communication between the node and the base station is realized by radio frequency transceiver chip SI4432. The results show that the system reaches the aim of expected design function. Therefore, it can be concluded that the system can meet the intelligent monitoring of the home environment.</span></span></p>

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