Straightness is the basic measurement parameter in machining, and the traditional straightness measurement methods such as light gap method, table method, et al., have extremely low measurement efficiency and cannot achieve online real-time high-precision detection. Our research group has proposed a machine vision online detection based on 10 industrial camera arrays, which can obtain the surface profile straight line of the sucker rod by collecting the edge profile image of the sucker rod and performing morphological transformation. Compared with the traditional method, online nondestructive testing has good real-time performance and high accuracy, but due to the shortcomings of serious environmental pollution and strong noise in some industrial scenarios, the accuracy of the detected straight line is not high. This paper continues to discuss the straightness optimization design method, based on the probability t distribution of the data, reasonably select the sampled edge points, and remove the scene noise. Experiments show that, compared with the previous results, the straightness based on the probability and statistics method can strictly extract the contour sampling points with a confidence of 95%, and the accuracy is higher than that of the traditional Hough transform.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/s41598-024-83225-6 | DOI Listing |
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11704339 | PMC |
Publication Analysis
Top Keywords
Similar Publications
Sucker rod straightness measurement method based on probability statistics of edge point detection.
Sci Rep
January 2025
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, CO, China.
Straightness is the basic measurement parameter in machining, and the traditional straightness measurement methods such as light gap method, table method, et al., have extremely low measurement efficiency and cannot achieve online real-time high-precision detection. Our research group has proposed a machine vision online detection based on 10 industrial camera arrays, which can obtain the surface profile straight line of the sucker rod by collecting the edge profile image of the sucker rod and performing morphological transformation.
View Article and Find Full Text PDFn. sp. (Eucestoda: Proteocephalidae), a parasite of (Linnaeus, 1758), with redescription of (Santos and Rolas, 1973) from the Brazilian Amazon.
Int J Parasitol Parasites Wildl
August 2024
Laboratory of Cellular Biology and Helminthology "Profa. Dra. Reinalda Marisa Lanfredi", Institute of Biological Sciences, Federal University of Pará (UFPA), Av. Augusto Correa 01, Guamá, Belem, Para, 66075-110, Brazil.
is the most diverse genus among proteocephalids, composed of species commonly found parasitizing snakes worldwide. However, the diversity of in the Neotropical region is still underestimated. This study describes n.
View Article and Find Full Text PDFMultisource working condition recognition via nonlinear kernel learning and -Laplacian manifold learning.
Heliyon
March 2024
School of Computer Science and Technology, Shandong University of Technology, Zibo, China.
Effectively utilizing information from multiple sources and fewer labeled operating condition samples from a sucker-rod pumping system for oil production can improve the recognition effects and engineering practicability. Nevertheless, this is a challenging energy environment scientific application research subject, and therefore, this study proposes an operating state recognition scheme that relies on multisource nonlinear kernel learning and -Laplacian high-order manifold regularization logistic regress. Specifically, three measured features are selected and extracted, i.
View Article and Find Full Text PDFIntelligent Method to Optimize the Frequency Modulation for Beam Pumping System Based on Deep Reinforcement Learning.
ACS Omega
March 2023
China University of Geosciences, Beijing 100083, China.
A mathematical simulation model of a beam pumping system with frequency conversion control is established, considering the influence of the real-time frequency variation on the motion law of a pumping unit, the longitudinal vibration of a sucker rod string, the crankshaft torque, and the motor power. On this basis, the key links such as state space, action space, and reward function are defined by using deep reinforcement learning theory, and an intelligent model to optimize the frequency modulation for a beam pumping system based on deep reinforcement learning is constructed. The simulation and field application results show that the frequency optimization model can significantly reduce the fluctuation amplitude of the polished rod load, crankshaft torque, motor power, and input power of the system, making the operation of the pumping system more stable and energy-saving.
View Article and Find Full Text PDFAutomatic Measurement of External Thread at the End of Sucker Rod Based on Machine Vision.
Sensors (Basel)
October 2022
Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China.
Aiming at the low efficiency of manual measurement of threads and the lack of practicability in machine vision measurement before, online size measurement of threads at the end of sucker rods based on machine vision was studied. A robotic arm is used to carry an optical device to achieve high-quality image acquisition of threads. Based on the prior knowledge of the thread profile angle, the directional edge detection operator is customized to achieve the accurate detection of the left and right edges of the thread.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!