Coal piling detection of coal transport belt of power plant based on vision measurement
-
摘要: 针对现有输煤胶带系统采用堆煤传感器检测胶带堆煤状态,存在误报和摩擦生电等问题,提出了基于视觉测量的非接触式胶带堆煤检测方法。该方法利用视觉检测中的单目视觉技术构建小孔成像测距模型,实现了胶带堆煤检测。实验结果表明,该方法具有实时性高、检测效果好等优点,堆煤检测准确性在95%左右,符合设计要求。Abstract: In view of problems of false alarming and triboelectrification existed in existing coal conveying belt system with coal piling sensor to detect state of coal piling of belt, a non-contact detection method of coal piling of belt based on vision measurement was proposed. The method uses monocular vision technology in visual inspection to construct small hole imaging model, and can measure coal piling of belt. The experimental results show that the method has advantages of high real-time property and good detection effect with detection accuracy of about 95%, which complies with design requirements.
-
Keywords:
- power plant /
- coal transport belt /
- coal piling detection /
- vision measurement /
- monocular visio
-
-
期刊类型引用(8)
1. 张新磊,谢翠娟,许俊锋. 机器人自主探索规划方法和系统设计. 计算机与数字工程. 2024(10): 2908-2913+2959 . 百度学术
2. 朱雷,闯喜宏,李磊,梁秋祥,魏铭毅. 输煤廊道巡检机器人智能避障控制方法设计. 自动化与仪器仪表. 2023(07): 210-213+218 . 百度学术
3. 郭爱军,刘建宇,郑安. 基于多传感器信息融合灭火机器人避障策略. 煤炭技术. 2022(04): 201-203 . 百度学术
4. 张燕. 基于模糊控制的智能移动机器人最优避障路线生成系统. 机械设计与制造工程. 2022(04): 86-90 . 百度学术
5. 杨春雨,张鑫. 煤矿机器人环境感知与路径规划关键技术. 煤炭学报. 2022(07): 2844-2872 . 百度学术
6. 岳仍瑞. 基于概率论的机器人避障方案规划. 信息记录材料. 2021(01): 178-179 . 百度学术
7. 刘曦,柳文轩,阿丽米热·阿布来提,麦吾兰·伊力哈木. 双目避障系统在桥式起重机上的应用. 现代制造技术与装备. 2021(10): 95-97 . 百度学术
8. 袁晓明,郝明锐. 煤矿无轨辅助运输无人驾驶关键技术与发展趋势研究. 智能矿山. 2020(01): 89-97 . 百度学术
其他类型引用(1)
计量
- 文章访问数: 37
- HTML全文浏览量: 9
- PDF下载量: 8
- 被引次数: 9