基于传感器的诊断用于输送带状况监测和预测性翻新
Ryszard Błażej1, Leszek Jurdziak1, Aleksandra Rzeszowska1
1Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15 St., 50-421 Wrocław, Poland.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
使用现场诊断的基于条件的维护 (CBM) 提高了输送带装修成功率,从70%提高到90%以上. 这种基于传感器的方法优化了生命周期管理,降低了成本,并支持循环经济.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 材料科学 材料科学 材料科学
- 工业维护 工业维护 工业维护
背景情况:
- 原材料成本上升和复杂的供应链影响输送带的耐用性和可用性.
- 传输带维护的传统视觉检查是主观的,效果不佳.
- 在现场诊断的基于条件的维护 (CBM) 对现代工业运营至关重要.
研究的目的:
- 为了证明基于传感器的诊断在取代输送带维护的主观视觉检查方面的有效性.
- 优化输送带生命周期管理和翻新决策.
- 突显工业输送系统预测性维护的好处.
主要方法:
- 使用感应和超声波技术实现了带芯状况和厚度的客观,可重复的测量.
- 改造决策从一般工厂层面转移到特定于输送机的方法.
- 利用基于传感器的实时监控进行现场诊断.
主要成果:
- 输送带翻新成功率从70%提高到90%以上.
- 优化皮带生命周期管理,从而增加皮带的重复使用和延长核心寿命.
- 启用预测性维护,减少过早或延迟的更换,降低整体成本.
结论:
- 基于传感器的诊断系统为有效的输送带维护提供客观数据.
- 预测性维护策略显著提高了运营效率和成本效益.
- 这种方法通过最大限度地利用资源和最大限度地减少工业环境中的浪费来支持循环经济.
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