Edge computing-oriented scraper detection method for coal preparation plants
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摘要: 针对目前选煤厂刮板检测方法计算量较大，且运行在低功耗、低成本的嵌入式Jetson Nano上，存在执行效率低、实时性差等问题，提出了一种可并行化Hough变换的面向边缘计算的刮板检测方法。首先对刮板图像进行预处理，然后采用Hough变换算法实现刮板检测并计算刮板角度，若刮板角度小于设定阈值，则报警,若在阈值范围内则显示正常。在刮板检测中，将Hough变换并行化并采用零拷贝传输数据，同时将刮板检测的整体流程设计成CPU和GPU协同工作模式，即刮板图像预处理环节运行在CPU端，将可并行化的Hough变换运行在GPU端。该模式下，可以充分利用Jetson Nano中的硬件资源，从而在Jetson Nano中实现刮板的实时检测。实验结果表明，在Jetson Nano中，分辨率为960×540下的刮板图像，采用可并行化的Hough变换算法比原Hough变换检测速度提升了10倍，帧率可达17帧/s，刮板角度准确率达96.3%，满足实时性要求。Abstract: The calculation amount of the current scraper detection method for coal preparation plants is large. Moreover, the method runs on the low-power, low-cost embedded Jetson Nano and has problems such as low execution efficiency and poor real-time performance. In order to solve the above problems, this paper proposes an edge computing-oriented scraper detection method that can parallelize the Hough transform.Firstly, the scraper image is pre-processed.Then the Hough transform algorithm is used to detect the scraper and calculate the scraper angle. If the scraper angle was less than the set threshold value, the alert would besent. If the scraper angle was within the threshold value, the display would be normal.In the scraper detection, the Hough transform is parallelized and the data is transmitted with zero copy. At the same time,the overall process of the scraper detection is designed into a CPU and GPU cooperative working mode. The scraper image pre-processing runs on the CPU side and the parallelized Hough transform runs on the GPU side.In this mode, the hardware resources in Jetson Nano can be fully utilized to realize real-time detection of the scraper in Jetson Nano.The experimental results show that by using the parallelized Hough transform algorithm, the scraper image in Jetson Nano with resolution of 960×540 can be detected 10 times faster than the original Hough transform. The detection frame rate can reach 17 frame/s and the scraper angle accuracy rate can reach 96.3%, which meets real-time requirements.
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Keywords:
- coal preparation plants /
- scraper conveyor /
- scraper detection /
- edge computing /
- Hough transform /
- Jetson Nano
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期刊类型引用(3)
1. 张振斌. 基于YOLOv3的选煤厂闸板开度自动检测系统. 自动化技术与应用. 2024(01): 52-55+116 . 
百度学术
2. 温晓荣，任利丰. 基于小波分析的刮板输送机断链故障检测系统. 机械制造与自动化. 2023(02): 216-219 . 百度学术
3. 陈海舰，王唯一，范锦鸽，潘逸冬，闫子骥，吴保磊. 基于树莓派的井下水仓水位智能测控系统. 工矿自动化. 2023(08): 127-133 . 本站查看
其他类型引用(1)
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