Book chapter
Design and Experimental Study of Automatic Phase Adjustment System for Combined Filter Rods Based on Visual Detection
Advances in Haptics and Virtual Reality, pp 63-71
19 May 2024
Abstract
In order to improve the product quality of combined filter rods and reduce the phase offset problem of combined filter rods. This paper takes the combined filter rod machine as the research object, and designs a combined filter rods phase visual detection and automatic adjustment system based on visual detection technology. The system includes three modules: filter rod phase detection, camera calibration and automatic phase adjustment. The edge detection operator is used to determine the edge position of the two ends of the filter rod, and the gradient calculation is used to obtain the mutation region of the combined filter rod image, so as to calculate the phase length of the two ends of the combined filter rod and achieve automatic adjustment according to the process requirements of the combined filter rod and the actual phase deviation. According to the experimental results, after the automatic adjustment system is turned on in the combined filter rod machine, the failure rate of the products is reduced by about 37% over the same period of time, and the average value of phase deviation is reduced by about 33% over the same period of time, which achieves the expected goal of automatic adjustment of phase of combined filter rods, and effectively improves the product quality of combined filter rods.
Metrics
13 Record Views
Details
- Title
- Design and Experimental Study of Automatic Phase Adjustment System for Combined Filter Rods Based on Visual Detection
- Creators
- Changfeng QinLiang HanYingze LinYangzhen GaoFei LuShuaishuai Fan
- Publication Details
- Advances in Haptics and Virtual Reality, pp 63-71
- Series
- Learning and Analytics in Intelligent Systems
- Publisher
- Springer Nature Switzerland; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-85195946560
- Other Identifier
- 991021879751204721