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基于行为预测模型的电力设施警示装置研究

Research on Active Sound and Light Safety Classification Warning Device for Power Equipment Based on Behavior Prediction Analysis

  • 摘要: 随着电力设备的智能化和自动化程度的提高,电力设备的安全问题也越来越受到关注。为了提高电力设备的安全性能,研究设计一种基于行为预测分析的主动式电力设备声光安全分级警示装置。该装置能够通过分析电力设备周围环境及附近人员行为的预测特征和安全风险,预测潜在的安全问题,并及时发出声光警示,提醒操作人员采取相应的措施,以防止事故的发生。

     

    Abstract: With the improvement of intelligence and automation in power equipment, the safety issues of power equipment are also receiving increasing attention. In order to improve the safety performance of power equipment, an active sound and light safety classification warning device based on behavior prediction analysis is studied and designed. This device can predict potential safety issues by analyzing the predicted characteristics and safety risks of the surrounding environment of power equipment and the behavior of nearby personnel. And timely issue sound and light warnings to remind operators to take corresponding measures to prevent accidents from occurring.

     

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