An intelligent monitoring system and method for coal mine underground roadway cable and hydraulic support
By deploying dual-spectrum explosion-proof cameras and an improved YOLOv10 detection model in underground coal mine roadways, a stereo vision system was constructed, solving the problems of low efficiency and insufficient real-time performance of traditional monitoring methods. This enabled real-time, accurate monitoring and proactive early warning of cables and hydraulic supports, thereby improving the automation level of coal mine safety management.
CN122416366APending Publication Date: 2026-07-17CHINA UNIV OF MINING & TECH (BEIJING) +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF MINING & TECH (BEIJING)
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
Smart Images
Figure CN122416366A_ABST
Abstract
本发明公开了一种煤矿井下巷道电缆与液压支架智能监测系统及方法，属于矿山安全监测技术领域。系统包括：图像采集模块、边缘计算终端、报警模块和地面监控中心。方法包括：通过粉尘浓度自适应的暗通道先验算法和CLAHE进行图像预处理；利用改进的YOLOv10模型进行无NMS目标检测，识别电缆、电缆支架与液压支架关键部件；通过关键点回归与几何约束计算电缆垂度、支架位移速度、部件完整性参数及电缆支架变形程度；建立三级报警体系进行异常诊断；将监测数据上传至地面监控中心。本发明实现了井下复杂环境下小目标高召回与大目标高精度的自适应检测，显著提升了监测精度与实时性。
Need to check novelty before this filing date? Find Prior Art