GPRS based power quality monitoring system

Zhou, Hongliang

doi:10.1109/icnsc.2005.1461240

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…GPRS is one of the very important content that is introduced by Phase 2+, compared with the GSM circuit switching, the very important advantages of GPRS is that introduces the packet-switching ability,which can provide timely Intemet connections,thus greatly increases the transmission rate and has the advantages of the always online, the cheap price and a wide coverage, especially suitable for data transmission that has the continuous, sudden, frequent and small amount features.At the same time, from the actual needs of power quality monitoring, data transmission is continuous and small amount, which accords with the characteristics of GPRS communication and has more advantages than other communications [3].…”

Section: B Gprs Modulementioning

confidence: 79%

The research of distributed power quality on-line monitoring system based on GRPS

Tang¹,

Zhang²,

Li³

2010

2010 IEEE International Conference on Software Engineering and Service Sciences

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In order to satisfy the requirement of power quality on-line monitoring system which is always online, cheap price and a wide coverage,the thesis puts forward to methods that GPRS(General Packet Radio Service)communications technology is applied in power quality on-line monitoring system.The main content of the system is that:the combination of DSP and MCU is used in power quality on-line monitoring system to store,display,count and analyze the collected data of voltage and current from each terminal, and communicates with supervisory computer through GPRS communication module to realize power quality monitoring in the grid. According to the need of user,it can control field device to realize the reseach of distributed power quality on-line monitoring System.

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Section: B Gprs Modulementioning

confidence: 79%

The research of distributed power quality on-line monitoring system based on GRPS

Tang¹,

Zhang²,

Li³

2010

2010 IEEE International Conference on Software Engineering and Service Sciences

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“…Secondly, aiming at the actual operation of airport runway, an airport icing prediction system was designed which was divided into three layers, two aspects of software and hardware. In terms of hardware, considering the particularity of airport runway and referring to relevant research [15], [16], wireless mode was chosen for data transmission. The data collected by sensors was transmitted via GPRS DTU wireless device in real-time.…”

Section: Introductionmentioning

confidence: 99%

Runway Icing Prediction Method and System Development Based on ActiveX Controls

et al. 2019

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Icing on airport runway is an important issue that affecting the operation of the airport. The research on runway icing is of great significance for ensuring the operation and safety of the airport. Firstly, in this paper, the runway temperature and ice thickness were studied by considering the underground temperature. Then combined with industrial configuration software and ActiveX controls, the runway icing prediction system was designed and verified. Through the analysis of the temperature field inside and outside of the runway as well as the studies of the meteorological factors around the surface and the runway heat exchange, the prediction equation of the runway temperature was obtained. Based on the equation, by using the predicted values of temperature and other factors, the BP neural network was trained to predict the ice thickness of the road in future. Furthermore, this paper designed an airport runway icing prediction system which installed with ActiveX controls where embedded with temperature prediction algorithm and neural network training algorithm. The system used multisensor to collect data, and wireless data transmission via GPRS DTU device. The virtual interface software and the configuration software embedded with algorithm were installed on the industrial PC to realize the prediction. By comparing the prediction of ice thickness with or without underground temperature, the average prediction accuracy of ice thickness by considering underground temperature was 13% higher than that without considering underground temperature, which verified the accuracy and feasibility of the ice prediction system. INDEX TERMS ActiveX controls, airport runway, underground temperature, temperature field, BP neural network, GPRS DTU.

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