检测火灾和爆炸传感器故障

2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Pub Date : 2017-06-26 DOI:10.1109/CIVEMSA.2017.7995294

H. Chafouk, L. Gliga

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引用次数: 0

摘要

本文介绍了一种利用室内无线传感器网络采集数据的火灾爆炸实时检测系统。首先对其进行过滤以去除噪声。然后，对随机过程进行实时建模。该模型还用于预测未来的温度。该模型的输出用于检测传感器故障，从而保证了数据的可靠性。使用变更检测方法检测火灾，本文提出了三种变更检测方法，但只推荐一种。最后，利用预测数据识别爆炸。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detection of faulty sensors of fire and explosions

A real time fire and explosion detection system is presented in this paper, using data acquired from a Wireless Sensor Network inside a room. First it is filtered to remove the noise. Then, the stochastic process is modelled in real time. The model is also used to predict the future temperature. The outputs of the model are used to detect sensor faults, this way assuring the reliability of the data. Fires are detected using a change detection method three being proposed in this paper, but just one being recommended. Finally, explosions are identified using the predicted data.

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来源期刊

2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

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