Proceedings of the International Conference on Advances in Energy, Environment and Chemical Engineering 2015
DOI: 10.2991/aeece-15.2015.65
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A Simulation Model of Big Data Analysis for Fire Alarm

Abstract: This paper discusses the construction and implementation of forest early warning system from the perspective of large data storage, analysis and structure. In this paper, the architecture and model of the combination of video alert and large data forecast are proposed, and it analyzes and discusses it. Experimental results show that the method has good expansibility and superiority.

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Cited by 5 publications
(2 citation statements)
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“…The system can store and analyze the data collected by wireless sensor, and forecast the forest fire before it happens. Zhu et al [111] propose the fire alarm system of video in large data environment based on Hadoop. The system can predict forest fires and alarms in time.…”
Section: ) Forest Disaster Monitoringmentioning
confidence: 99%
“…The system can store and analyze the data collected by wireless sensor, and forecast the forest fire before it happens. Zhu et al [111] propose the fire alarm system of video in large data environment based on Hadoop. The system can predict forest fires and alarms in time.…”
Section: ) Forest Disaster Monitoringmentioning
confidence: 99%
“…Video fire alert system based on big data is a fast and effective way for such application, which is also active for the study of early warning (Mahdipour and Dadkhah, 2014). Big data model has the characteristics of security and stability, which can be suitable for more complex application scenarios and can guarantee the stability of the system for a long time (Zhu et al, 2015).…”
Section: Forest Fire Predictionmentioning
confidence: 99%