Real-Time Monitoring Method for Five-Degrees-of-Freedom of the Extruder’s Moving Parts

2011 ◽  
Vol 105-107 ◽  
pp. 630-634 ◽  
Author(s):  
Xian Wang ◽  
Jian Ping Tan ◽  
Ling Yun Quan ◽  
Xiao Le Cheng
Keyword(s):  
Machine Vision ◽  
Laser Beam ◽  
Real Time ◽  
Digital Signal Processor ◽  
High Speed ◽  
Degrees Of Freedom ◽  
Real Time Monitoring ◽  
Long Distance ◽  
Monitoring Method ◽  
Moving Parts

On the basis of systematic study on the existing measurement methods of multi-degrees-of-freedom, A real-time monitoring method for five-degrees-of-freedom of the extruder’s moving parts was proposed based on laser beam measurement reference and machine vision. Simultaneously measuring multi-degrees-of-freedom is implemented by two-collimated laser beam and three-point measurement in this method, laser dispersion technology is used for several measuring points using the same basis simultaneously, the baseline errors are initial adjusted and real-time monitored, the method of machine vision is used for precise extraction of the position signals. Position signals are collected and selected by a Charge Coupled Device (CCD) sensor and a high speed Digital Signal Processor (DSP), long-distance propagation and reconciliation of multi-channel data is implemented by an industrial Ethernet. Experiments indicated the method is effective and steady.

A measurement method for the overturning coefficient of high-speed trains passing through complex terrain sections under strong wind conditions

2019 ◽  
Vol 234 (8) ◽  
pp. 885-895
Author(s):  
Zhaijun Lu ◽  
Weijia Huang ◽  
Mu Zhong ◽  
Dongrun Liu ◽  
Tian Li ◽  
...  
Keyword(s):  
Real Time ◽  
Complex Terrain ◽  
High Speed ◽  
Suspension System ◽  
Strong Wind ◽  
Real Time Monitoring ◽  
Monitoring Method ◽  
High Speed Trains ◽  
Strong Winds ◽  
Pass Through

Real-time monitoring of overturning coefficients is very important for ensuring the safety of high-speed trains passing through complex terrain sections under strong wind conditions. In recent years, the phenomenon of “car swaying” that occurs when trains pass through the complex terrain has brought new challenges to ensuring the safety and riding comfort of passengers. In China, more and more high-speed trains are facing strong wind environments when running in complex terrain sections. However, due to the limitation of objective conditions, so far, only a few economical and effective methods of measurement have been developed that are suitable for real-time monitoring of the overturning coefficient of commercial vehicles. Therefore, considering the applicability and universality of such a monitoring method, this study presents a method for measuring the overturning coefficient of trains using the primary suspension system under strong winds. A vehicle test was carried out to verify the accuracy of the method. The results show that after correction, the overturning coefficient obtained from the primary suspension system is generally consistent with the overturning coefficient obtained from the instrumented wheelset. The method of measuring the overturning coefficient of trains in strong wind environments with the primary suspension system is, thus, proven feasible.

Coal Transport Tape Control System Based on Machine Vision

2013 ◽  
Vol 419 ◽  
pp. 745-750
Author(s):  
Jing Yuan ◽  
Yin Xia Liu ◽  
Shu Hua Shao
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Image Coding ◽  
High Speed ◽  
Wire Rope ◽  
Long Distance ◽  
Production Chain ◽  
Spot Detection ◽  
Long Run ◽  
Mining Safety

Coal transport security is one of the important links of mining safety in production chain. Most of Mines use long distance wire rope core belt conveyor transporting coal. By the reason of the load increases, the belt surface scratches and aging etc when the transmission belt in the long run, will cause the wire rope core corrosion, fracture, joint elongation, wire rope core and transmission belt adhesion decreased and finally the joint tensile fault. Once a fault occurs, the transmission security not only endangers mine, even causes the entire production system halted, so the security warning mechanism of coal transport tape proposed must be enforced. Article using machine vision and online transmission detection combined. In the first field observation, using the high accuracy linear array CCD real-time transmission of high-speed operation with the image acquisition and image processing threshold; Though extraction algorithm, simulation experiment and field test; finally comprehensive analysis gives the early warning scheme. The project mainly studies the transmission belt blob spot detection and algorithm with wear, based on digital image, image coding and image enhancement, compared the collected image speckle with set threshold so as to determine which set of real-time image for pre-alarm wear spots, mark the spot coordinates, at the same time to upload data in order to complete the transmission belt warning. The project solves the influence of transmission tape failure of coal production effectively.

Research on Real-Time Process Monitoring Technology and System for High-Speed Turbopump

2009 ◽  
Vol 413-414 ◽  
pp. 463-469
Author(s):  
L.R. Xia ◽  
Niao Qing Hu ◽  
G.J. Qin
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Process Monitoring ◽  
Digital Signal Processor ◽  
High Speed ◽  
Time Process ◽  
Real Time Monitoring ◽  
Monitoring Technology ◽  
The Real ◽  
Multiple Domain

Turbopump is a high-fault-rate component in Liquid Rocket Engine (LRE). The research on real-time process monitoring technology and system for turbopump is vital to increase the reliability and safety of LRE. In this paper, three real-time process monitoring algorithms for turbopump were studied firstly, on the basis of monitoring parameters selection and multiple domain feature extraction. Then, the real-time monitoring system realized by means of PXI (PCI eXtensions for Instrumentation) controller was introduced. And, aiming at the shortage of the previous system, the real-time process monitoring system based on DSP (Digital Signal Processor) for turbopump was studied to realize higher computing speed, which could conduce to extract multiple domain features and run manifold real-time monitoring algorithms. The new system could also satisfy the small-sized requirement in engine flying state.

Development of six-DOF welding robot with machine vision

2018 ◽  
Vol 32 (34n36) ◽  
pp. 1840079
Author(s):  
Wensheng Huang ◽  
Hongli Xu
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Degrees Of Freedom ◽  
High Efficiency ◽  
Target Location ◽  
Industrial Robots ◽  
Welding Robot ◽  
Edge Pixel ◽  
Six Dof ◽  
Hardware Processing

The application of machine vision to industrial robots is a hot topic in robot research nowadays. A welding robot with machine vision had been developed, which is convenient and flexible to reach the welding point with six degrees-of-freedom (DOF) manipulator, while the singularity of its movement trail is prevented, and the stability of the mechanism had been fully guaranteed. As the precise industry camera can capture the optical feature of the workpiece to reflect in the camera’s CCD lens, the workpiece is identified and located through a visual pattern recognition algorithm based on gray scale processing, on the gradient direction of edge pixel or on geometric element so that high-speed visual acquisition, image preprocessing, feature extraction and recognition, target location are integrated and hardware processing power is improved. Another task is to plan control strategy of control system, and the upper computer software is programmed in order that multi-axis motion trajectory is optimized and servo control is accomplished. Finally, prototype was developed and validation experiments show that the welding robot has high stability, high efficiency, high precision, even if welding joints are random and workpiece contour is irregular.

Real-time monitoring of RHEED using machine vision techniques

1997 ◽  
Vol 175-176 ◽  
pp. 334-339 ◽  
Author(s):  
R.F. Kromann ◽  
R.N. Bicknell-Tassius ◽  
A.S. Brown ◽  
J.F. Dorsey ◽  
K. Lee ◽  
...  
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Real Time Monitoring

scholarly journals Drift Reduction of a 4-DOF Measurement System Caused by Unstable Air Refractive Index

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6329
Author(s):  
Ruijun Li ◽  
Yongjun Wang ◽  
Pan Tao ◽  
Rongjun Cheng ◽  
Zhenying Cheng ◽  
...  
Keyword(s):  
Refractive Index ◽  
Laser Beam ◽  
Measurement System ◽  
Degrees Of Freedom ◽  
Cost Effective ◽  
Control Mode ◽  
Detection Accuracy ◽  
Long Distance ◽  
Cost Effective Method ◽  
Novel Method

Laser beam drift greatly influences the accuracy of a four degrees of freedom (4-DOF) measurement system during the detection of machine tool errors, especially for long-distance measurement. A novel method was proposed using bellows to serve as a laser beam shield and air pumps to stabilize the refractive index of air. The inner diameter of the bellows and the control mode of the pumps were optimized through theoretical analysis and simulation. An experimental setup was established to verify the feasibility of the method under the temperature interference condition. The results indicated that the position stability of the laser beam spot can be improved by more than 79% under the action of pumping and inflating. The proposed scheme provides a cost-effective method to reduce the laser beam drift, which can be applied to improve the detection accuracy of a 4-DOF measurement system.

Sign in / Sign up

Export Citation Format

Share Document