An Investigation of the Influence of Temperature Deformations on the Precision of Linear Measurements

Bashevskaya, O. S.; Bushuev, S. V.; Poduraev, Yu. V.; Koval’skii, M. G.; Kainer, G. B.; Romash, E. V.

doi:10.1007/s11018-013-0322-y

Cited by 7 publications

(2 citation statements)

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“…Machine vision structure displacement detection is generally divided into three steps, camera calibration, target tracking, displacement calculation [4] . The first step of camera calibration is to match the distance between two-dimensional pixels and world coordinates.…”

Section: Review For Detection Stepsmentioning

confidence: 99%

Research on Displacement Monitoring of Hydraulic Structure with Machine Vision

Hou,

Shi,

Yan

2023

Frontiers in Artificial Intelligence and Applications

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Hydraulic structure has a long history, which varies in many kinds. Its damage will have a great impact on people’s life and property safety. Therefore, relevant personnel should be able to immediately discover the damage of hydraulic buildings and focus on it, and at the same time, it can immediately carry out relevant warning and treatment of the safety risks. The traditional displacement measurements are mainly contact, which have lots of disadvantages, such as insufficient coverage area, many monitoring blind areas and high monitoring cost. With the rapid development of high definition camera and artificial intelligence, machine vision is a non-contact, high precision, low cost, all-weather monitoring system has received more and more attention. The machine vision system can not only eliminate the shortcomings of the contact measurement method, but also realize the multi-azimuth full coverage monitoring of hydraulic buildings. This paper will from the machine vision system composition and commonly used computer vision methods, matters to pay attention to three aspects of the current machine vision-based hydraulic building displacement monitoring methods are discussed, aimed at relevant researchers through machine vision to improve the monitoring of comprehensiveness, accuracy and real-time, help to better protect the health, safety, smooth operation of hydraulic buildings.

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Section: Review For Detection Stepsmentioning

confidence: 99%

Research on Displacement Monitoring of Hydraulic Structure with Machine Vision

Hou,

Shi,

Yan

2023

Frontiers in Artificial Intelligence and Applications

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“…Any calibration of an industrial robot includes a procedure for determining the actual values of control parameters and their communication to the control system (control model). Analysis of the research over the last 5 years shows that the problem of developing the methodology for this operation has received insuffi cient study [4][5][6][7][8][9][10][11][12][13][14][15][16]. This article discusses the fi rst stage of calibration, namely, the method of determining the actual values of the coordinates of the centers of rotation of the links in the kinematic chain of an industrial robot -centers of the degrees of freedom (DF).…”

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confidence: 99%

Estimation of Error in Determining the Centers of Rotation of Links in a Kinematic Chain for Industrial Robot Calibration Techniques

2015

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621.865.8.001.5 and E. V. RomashWe have analyzed the Kasa and Levenberg algorithms for estimating the error in determining the center of rotation of links in a kinematic chain of an industrial robot. We develop recommendations for the initialization of calibration techniques for commercially produced industrial robots using a laser coordinate-measuring system. Keywords: industrial robot calibration, laser tracker, centers of degrees of freedom, nonlinear least squares method.Currently, in mechanical engineering there is an increasing demand for quality products having a complex geometric shape. In a number of machining operations, such as shaped processing, drilling and deburring, the manufacture of these products requires orienting tools in a special way. To do this, it is advisable to use robotic technological complexes (RTC), which, being fl exible manufacturing systems in comparison with multi-axis machining centers, have a signifi cantly lower cost [1,2]. However, RTC industrial robots provide lower precision. Improving precision is a real challenge, according to [3].Correct calibration is the primary basis for accurate RTC performance characteristics. Any calibration of an industrial robot includes a procedure for determining the actual values of control parameters and their communication to the control system (control model). Analysis of the research over the last 5 years shows that the problem of developing the methodology for this operation has received insuffi cient study [4][5][6][7][8][9][10][11][12][13][14][15][16]. This article discusses the fi rst stage of calibration, namely, the method of determining the actual values of the coordinates of the centers of rotation of the links in the kinematic chain of an industrial robot -centers of the degrees of freedom (DF). Since DF is a connection of two links enabling transfer to one of them of the control coordinate and including the drive, a motion-transmitting link, then the center of the DF is a point belonging to the axes of rotation of the links [17].

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