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A Real-Time Electric-Power Monitoring and Wireless Transmission System Based on the Internet of Things |
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Wei Wei,
Xiang Li,
Bin Zhou,
Hongfang Zhou,
Peiyi Shen,
Lei Wang and Jing Zhang |
Abstract:
Wireless Radio Frequency (RF) technology, which can take the
place of cable, has been widely used in many current fields as one of information
technologies with widest horizon of development. The problems caused by the
environment restrictions and the unfavorable conditions for cable wiring have
been solved because of the emergence of the wireless. Its three important characteristics
and advantages are low costing, low power consumption and peer-to-peer communication.
During the design procedure, the system is divided into three major modules
according to the functional structure, namely central control module, wireless
transceiver module and computer dealing software, The central control module
uses Sygnal company's low power enhanced 51 MCU C8051F310 as CPU, mainly to
complete the data acquisition and processing. The wireless transceiver module
is made up of TI CC1101 wireless transceiver chip, which mainly realizes wireless
data transmission and The computer dealing software real-timely displays and
deals with the data through visual, friendly programming interface, based on
C#.NET. Final achievement of the system design is two compact communication
devices, one of them connects with PC through RS-232 interface, System is operated
through the graphical user interface based on windows, which is very convenient
to operate. Debugging result indicated that data acquisition, processing and
transmission could be achieved in wireless or wired way under the control of
PC and it visually displays the results to the user, satisfies request of the
wireless power monitoring data communication system, reaches the technical index.
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How to cite this article:
Wei Wei, Xiang Li, Bin Zhou, Hongfang Zhou, Peiyi Shen, Lei Wang and Jing Zhang, 2014. A Real-Time Electric-Power Monitoring and Wireless Transmission System Based on the Internet of Things. Information Technology Journal, 13: 1662-1667.
DOI: 10.3923/itj.2014.1662.1667
URL: https://scialert.net/abstract/?doi=itj.2014.1662.1667
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