基于环境感知和机器视觉的露天矿洒水车防喷溅系统

Anti-splash system of open-pit mine sprinkler based on environment perception and machine vision

  • 摘要: 矿用洒水车是露天矿区集抑尘、降温和道路清洁等多种功能于一体的重要设备,对改善矿区作业环境、减少粉尘污染具有关键作用。然而,洒水车在作业过程中易误喷现场工作人员,影响正常生产活动。目前,虽然行人检测技术发展迅速,但尚未有针对矿用洒水车特殊作业环境的智能感知系统。此外,现有洒水喷淋系统主要依赖驾驶员手动调节洒水范围,控制精度低,且频繁操作可能分散驾驶员注意力,增加安全隐患。【目的】针对露天矿开采作业中洒水车降尘时存在的误喷工作人员、水资源浪费及现有红外测距系统测距范围小、抗干扰性差等问题,【方法】提出一种改进的矿用洒水车防喷溅系统。传统红外测距技术因范围有限且易受干扰,导致误识别频繁,影响洒水效率与驾驶安全。【结果】本系统通过优化测距技术,实现人员与设备的精准识别,避免误喷;同时结合自动化控制机制,减少驾驶员手动操作负担,提升作业安全性。【结论】实际应用表明,该系统能有效降低粉尘浓度,减少水资源浪费,改善矿区工作环境,为绿色矿山建设提供技术支持。

     

    Abstract: Mine sprinkler is an important equipment for dust suppression, cooling and road cleaning in open-pit mine area, which plays a key role in improving the working environment and reducing dust pollution in mining area. However, the sprinkler in the operation process is easy to spray the site staff, affecting the normal production activities. At present, although the pedestrian detection technology is developing rapidly, there is no intelligent perception system for the special working environment of the mine sprinkler. In addition, the existing sprinkler system mainly relies on the driver to manually adjust the sprinkler range, the control accuracy is low, and frequent operation may distract the driver's attention and increase safety risks. Aiming at the problems of false spraying workers, waste of water resources, small ranging range and poor anti-interference of the existing infrared ranging system in the dust reduction of the sprinkler truck in the mining operation of open-pit mine, in this paper, an improved anti-splashing system of mine sprinkler is proposed. Traditional infrared ranging technology is limited in scope and susceptible to interference, resulting in frequent misidentification, affecting water spraying efficiency and driving safety. By optimizing the ranging technology, this system can accurately identify personnel and equipment and avoid accidental spraying. At the same time, combined with the automatic control mechanism, it can reduce the drivers' manual operational burden and enhances operational safety. Field implementation demonstrates its efficacy in mitigating dust concentrations, conserving water resources and optimizing the working conditions of mining sites.

     

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