Accelerometer-based position and speed sensing for manual pipe welding process

Li, Xiangrong; Lu, Yi; Zhang, Yuming

doi:10.1007/s00170-013-5056-0

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…No torch orientation detection was involved, while this study concentrates on the 3D orientation of the torch throughout a manual arc welding process. In [22], a speed and position sensor was proposed based on an accelerometer for a manual plasma pipe welding process in pulse current mode. Yet, the comparatively rigid assumptions on the torch movement pattern constrict its application in the other fit-ups (flat butt joint, T-type, etc) or power modes (constant current, constant voltage, etc).…”

Section: Related Workmentioning

confidence: 99%

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Measurement of three-dimensional welding torch orientation for manual arc welding process

Zhang¹,

Xiao²,

Chen³

et al. 2014

Meas. Sci. Technol.

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Torch orientation plays an important role in welding quality control for a manual arc welding process. The detection of the torch orientation can facilitate weld monitoring, welder training, and may also open a door to many other interesting and useful applications. Yet, little research has been done in measuring the torch orientation in the manual arc welding process. This paper introduces a torch orientation measurement scheme that can be conveniently incorporated both in a real manual arc welding process and in a welder training system. The proposed measurement employs a miniature wireless inertial measurement unit (WIMU), which includes a tri-axial accelerometer and a tri-axial gyroscope. A quaternion-based unscented Kalman filter (UKF) has been designed to estimate the three-dimensional (3D) torch orientation, in which the quaternion associated with the orientation is included in the state vector, as is the angular rate measured by the gyroscope. In addition, an auto-nulling procedure has been developed where the WIMU drift and measurement noise are captured and adaptively compensated in-line to ensure the measurement accuracy. The performance of the proposed scheme has been evaluated by simulations and welding experiments with different types of processes and fit-ups. The simulation results show that the inclination (x- and y-axes) of the torch has been accurately measured with a root-mean-square error (RMSE) in the order of 0.3°. The major error obtained in the heading (z-axis) measurement has been reduced significantly by the proposed auto-nulling procedure. Statistics from welding experiments indicate the proposed scheme is able to provide a complete 3D orientation measurement with the RMSE in the order of 3°.

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Section: Related Workmentioning

confidence: 99%

“…Given the estimated state vector xk−1 and its covariance P k−1 at instant k − 1, an auxiliary vector set {ψ i } is defined by equation (22):…”

Section: Filter Designmentioning

confidence: 99%

Measurement of three-dimensional welding torch orientation for manual arc welding process

Zhang¹,

Xiao²,

Chen³

et al. 2014

Meas. Sci. Technol.

Self Cite

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“…In the construction of smart city lighting system in the United States, a large number of IOT technologies are applied Such as ZigBee technology, WiFi wireless transmission technology, etc., to a certain extent, it realizes the intelligent layout of smart city lighting system [25][26][27]. The construction of smart city lighting system based on video image processing technology mainly focuses on the optimization and development of video scene recognition technology, but the technology is still relatively immature, and its corresponding anti-interference ability and noise suppression ability are still limited [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control of Urban Lighting System Based on Video Image Processing Technology

Chun-lin

2020

IEEE Access

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The rapid iterative development of information technology, computer technology and Internet of things technology promotes the construction of smart city, and the related concepts of smart city gradually move from theory to practice. As an important part of the development of smart city, the intelligent lighting and intelligent control of urban lighting system become increasingly urgent with the development of the latest Internet of things technology and video image processing technology. Based on the current Internet of things data communication and related processing technology as the background, this paper constructs the overall control model of smart city lighting system, including GPRS wireless transmission technology and ZigBee technology. In the core algorithm, this paper innovatively presents an improved video image processing technology based on Gaussian mixture algorithm, which mainly describes the background of a specific scene in multi-dimensional model, so as to improve the reliability of the whole scene judgment. At the level of noise suppression, the video image processing algorithm proposed in this paper designs interference noise suppression technology based on the principle of mean filtering, so as to achieve the accuracy and integrity of urban traffic scene extraction. In order to solve the security problems of the whole video image processing technology in information extraction, storage and analysis, this paper adds the electromagnetic information leakage prevention algorithm in the video image processing technology, which mainly processes the video image at the source, so as to reduce the electromagnetic radiation of the overall information. Based on this, this paper completed the construction of the software and hardware of the city intelligent lighting system. On this basis, the software and hardware construction of urban intelligent lighting system is completed. At the same time, the experiment was carried out in a small-scale scene of a city. The experimental results show that the intelligent urban lighting system based on video image processing technology is feasible and can achieve the desired effect. At the same time, the lighting energy consumption level can be reduced by about 30%, and the corresponding failure rate can be reduced by about 30%. INDEX TERMS Video image processing technology; smart city; Internet of things technology; noise suppression; information leakage prevention technology;

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“…O trabalho de Li et al [4] descreve o desenvolvimento preliminar de um sistema de soldagem orbital que visa identificar a posição da tocha e servir como fonte de controle e otimização dos parâmetros do processo. Conforme os autores, a posição de soldagem ao longo da tubulação pode ser aproximada com o uso de sensores inerciais.…”

Section: Introductionunclassified

Desenvolvimento e Avaliação de uma Tocha de Soldagem Inteligente

Asquel

Cunha

2019

Soldag. insp.

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Resumo A soldagem de estruturas destinadas à construção naval em estaleiros é realizada, em sua maioria, de forma manual no cenário brasileiro. Assim como em qualquer aplicação, nesta os parâmetros de soldagem devem ser ajustados conforme a posição de soldagem a fim de garantir a qualidade desejada da união. Todavia, na prática o que se observa é que esta regulagem é continuamente negligenciada devido à falta de preparo dos profissionais envolvidos ou, em uma tentativa de diminuir o tempo de máquina parada durante a operação. Neste contexto, o presente trabalho tem por objetivo apresentar o desenvolvimento de uma tocha de soldagem capaz de reconhecer sua orientação no espaço e, por meio de uma interface com a fonte de soldagem, selecionar automaticamente os parâmetros do processo de acordo com a posição de soldagem em que a mesma se encontra. A fim de avaliar o desempenho do protótipo desenvolvido, foram realizados ensaios de soldagem alternando-se entre as posições 1G, 2G, 3G e 4G. Nestes, o protótipo apresentou um funcionamento adequado às aplicações de soldagem, sendo capaz de reconhecer não somente a posição na qual a soldagem está sendo executada, mas também, de controlar os parâmetros de soldagem presentes na fonte de energia.

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Accelerometer-based position and speed sensing for manual pipe welding process

Cited by 4 publications

References 5 publications

Measurement of three-dimensional welding torch orientation for manual arc welding process

Measurement of three-dimensional welding torch orientation for manual arc welding process

Intelligent Control of Urban Lighting System Based on Video Image Processing Technology

Desenvolvimento e Avaliação de uma Tocha de Soldagem Inteligente

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