Research on Edge Extraction System of the Laser Welding Image Based on ARM

The article researched on edge extraction system of the laser welding image based on ARM micro controller. The system can achieve accurate extraction on the edge of the laser welding pool, and reduce the system cost effectively while satisfying the real-time constraints. With STM32f103 controller for the system as the core, the outside are image storage and display module. The image processing methods of gray-scale transformation, image smoothing, threshold segmentation and edge extraction are realized in ARM, and the processed images are displayed in LCD. The experimental results show that the system researched in this paper can extract color molten pool image edge accurately without distortion and better reflect the relationship between welding parameters and weld pool geometry size, and provide the basis for building real-time control system of the laser welding quality.

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Real-time control in pulsed laser welding

10.1117/12.251197 ◽

1996 ◽

Author(s):

Regis de Charette ◽

Frederic Coste ◽

Lilian Sabatier ◽

Jean-Pierre Chevalier

Keyword(s):

Laser Welding ◽

Real Time ◽

Pulsed Laser ◽

Real Time Control ◽

Pulsed Laser Welding ◽

Time Control

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Real time control of curved laser welding processes by cellular neural networks (CNN): first results

Advances in Radio Science ◽

10.5194/ars-8-117-2010 ◽

2010 ◽

Vol 8 ◽

pp. 117-122 ◽

Cited By ~ 2

Author(s):

L. Nicolosi ◽

R. Tetzlaff

Keyword(s):

Control System ◽

Laser Welding ◽

Real Time ◽

Laser Beam Welding ◽

Recent Analysis ◽

Feedback Signal ◽

Real Time Control ◽

Loop Control ◽

Time Control ◽

Welding Processes

Abstract. In the last decades the laser beam welding (LBW) has outclassed older welding techniques in the industrial scenario. Despite the improvement in welding technology, sophisticated methods of fault detection are not commonly used in commercially available equipments yet. A recent analysis of process images have revealed the possibility to build up a real time closed loop control system. By the use of image based quality features, a feedback signal can be provided to maintain the process in the desired state. The development of the presented visual control system has been focused on the adjustment of the laser power according to the detection of the so called full penetration hole. Due to the high dynamics of the laser welding, a fast real time image processing with controlling rates in the multi kilo Hertz range is necessary to have a robust feedback control. In this paper an algorithm for the real time control of welding processes is described. It has been implemented on the Eye-RIS v1.2, a visual system which mounts a cellular structure. By applying this algorithm in real time applications, controlling rates of about 7 kHz can be reached. In the following some real time control results are also described.

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Development of a Neural Network Based Real Time Control for Laser Welding

10.1117/12.953391 ◽

1989 ◽

Cited By ~ 1

Author(s):

Nicholas E. Longinow ◽

Edmund R. Bangs

Keyword(s):

Neural Network ◽

Laser Welding ◽

Real Time ◽

Real Time Control ◽

Time Control

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A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

Methods of Information in Medicine ◽

10.1055/s-0038-1634619 ◽

1995 ◽

Vol 34 (05) ◽

pp. 475-488

Author(s):

B. Seroussi ◽

J. F. Boisvieux ◽

V. Morice

Keyword(s):

Real Time ◽

Linear Time ◽

Treatment Plan ◽

Control Architecture ◽

Real Time Control ◽

Time Representation ◽

Time Control ◽

Continuous Support ◽

Definition Of ◽

Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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