Data Mining Research in Early Warning Model of Chlorine Gas Monitoring Wireless Sensor Network

Author(s):  
Wang Rongxin ◽  
Xiu Debin ◽  
Zhou Yushan ◽  
Liu Congning ◽  
Shi Yunbo
2013 ◽  
Vol 756-759 ◽  
pp. 603-606
Author(s):  
Li Li Gao

Monitoring system design of mine gas Monitoring System were designed according to the traditional lacked of the real-time and early warning functions and so on problems. mine gas Monitoring System was constructed successfully with Wireless Sensor Network Technology. And TinyOS structure programming language nesC was applied to prepare the system software. The wireless on time measurement of the gas density could be conducted. At the same time,SMS message was used to send real-time environment information to users, which containing user-defined periodic collection data and early warning document produced by microcomputer. The simulation and site test showed that the system operation was in normal, stable and reliable.


2013 ◽  
Vol 13 (1) ◽  
pp. 328-338 ◽  
Author(s):  
Vana Jelicic ◽  
Michele Magno ◽  
Davide Brunelli ◽  
Giacomo Paci ◽  
Luca Benini

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Chao Ma ◽  
Weiqi Chen ◽  
Yuge Tian

Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.


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