基于声音提示技术的露天矿安全生产监测方法

Open-Pit Mine Safety Production Monitoring Method Based on Voice Prompt Technology

针对露天矿复杂多变的作业环境,提出一种基于声音提示技术的安全生产监测新方法。该方法通过引入特征提取、智能识别与定位等关键技术,实现对设备状态与人员行为的实时监测与预警。经实验验证,该方法的异常识别率达94%,平均定位误差控制在1.57 m,为提升露天矿安全管理水平提供了新思路。

A new safety production monitoring method based on voice prompt technology is proposed for the complex and variable working environment of open-pit mines.This method achieves real-time monitoring and early warning of equipment status and personnel behavior by introducing key technologies such as feature extraction,intelligent recognition,and positioning.Through experimental verification,the anomaly recognition rate of this method reaches 94%,and the average positioning error is controlled within 1.57 m,providing a new idea for improving the safety management level of open-pit mines.