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REMOTE MONITORING APPLICATION WITH DATA PREDICTION ALGORITHM
Abstract
The Internet and computer networks development led to the development of data acquisition and monitoring systems, becoming nowadays a necessity. This paper proposes the development of applications to monitoring parameters, both local and remote; the parametersпїЅ values are derived from a micro-weather station. Two interfaces are implemented for monitoring parametersпїЅ values: the first one is a part of a wireless sensors network (named eKoView), and the second one is implemented in C# and running on a color operating panel with touch-screen. All parametersпїЅ values are purchased on a data server. These values become time series of a data prediction algorithm whose implementation is proposed. Weather forecast issue is of great interest to the public. At present, the predictions of increasingly closer to reality, thanks to advancing technology and predictive algorithms that are increasingly more complex. What interests us is to predict the weather for longer to help make decisions regarding environment process control, applicable to greenhouses farms.
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References6
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Dumitrascu A., Ştefănoiu D., Remote Temperature Control System for Greenhouse Environment, 14th International Multidisciplinary Scientific GeoConference – SGEM2014, ISSN: 1314-2704, ISBN:978-619-7105-21-6 Conference Proceedings on Green design and sustainable architecture vol. II, pp. 597-604, ISI Web of Knowledge and Web of Science, Elsevier - SCOPUS and Engineering Village Compendex, June 17-26, Bulgaria, 2014.
Ştefănoiu D., Culiţă J., Dumitraşcu A., Fast Prediction Algorithms for Distributed Time Series, International Work-Conference on Time Series Analysis, ITISE 2014, Granada, Spain, ISI-Thomson referenced, pp. 735-746, ISBN: 978-84-15814-97-9, June 25-27, 2014.
Ştefănoiu D., Culiţă J., Tudor S. F., Abordări experimentale de identificare a proceselor şi fenomenelor (Experimental approaches to identifying processes and phenomena), Chapter 13 – Identificarea componentei deterministe a unei serii de timp (Identifying the deterministic component of a time series), AGIR Publishing House, 320 pp., ISBN: 978–973–720–435–6, Bucharest, Romania, 2013.
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