基于HMM模型的自动扶梯智能监控方法

2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2020-09-01 DOI:10.1109/ICDSBA51020.2020.00037

Lulu Zhang, Shimin Zhao, Hu Liu, Weilong Wang, Jiajian Wang

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引用次数: 0

摘要

为了有效地掌握自动扶梯的工作状态，保证安全运行，防止故障的发生，本文提出了一种基于隐马尔可夫模型的自动扶梯监控方法。本文重点以自动扶梯主轴为例，对其振动强度进行分类，利用HMM模型对其状态进行预测，实现故障预警，保证自动扶梯的安全运行。

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Intelligent Monitoring Method of Escalator Based on HMM Model

In order to effectively escalator working status, ensure safe operation and prevent failure, this paper proposes an escalator monitoring method based on hidden Markov (HMM) model. This article focuses on taking the main axis of the escalator as an example, classifying its vibration intensity, using the HMM model to predict its state, realizing fault warning, and ensuring the safe operation of the escalator.

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2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)

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