Application of computer vision in welding

Application of Computer Vision in Welding Abstract: Working Principles and Characteristics of Centrifugal Pumps From Composite Machine Tools to Flexible Production Lines - Cost-effective Lean Production Hole Processing Technology Development Trends for Foreign Enterprises Gradually Domestic Production Superhard Tools Enterprises How to Go Global Market Modern New New development of tool materials (on) anti-interference problem of PLC control system application Hanjiang machine tool development of the first domestic taper grinder electrostatic instrument selection of temperature control valve working principle and related knowledge introduction CNC macro introduction (Huazhong) inverter harmonic trigger System power failure analysis and processing China's machining center market prospects optimistic about the development trend of CAD technology and deepening the promotion and application of the aviation industry outsourcing processing and processing plant rapid development of PCBN tool technology the latest development of efficient processing of large diameter deep hole HTS bit vibration cutting technology Statistical analysis method for mechanical reliability of repairs with parts processing surface integrity The use characteristics and requirements of CNC machine tools [tag: tag] with the introduction of electronic technology, computer technology, automatic control technology and information and software technology into the welding field, welding Production automation, intelligence has become an important direction of development of welding technology in the 21st century. Computer vision has been widely used in the field of welding because of its large amount of information, high precision and large detection range, which provides a powerful means for automation of welding operations. borrow.

With the rapid introduction of electronic technology, computer technology, automatic control technology and information and software technology into the field of welding, automation and intelligentization of welding production has become an important direction for the development of welding technology in the 21st century.

Computer vision has been widely used in the field of welding because of its large amount of information, high precision and large detection range, which provides a powerful means for automation of welding operations. With the help of CCD cameras, infrared cameras, X-ray flaw detectors, high-speed cameras and other image sensing devices and intelligent image processing methods, many robots and specific automatic welders also have certain visual functions. They can not only simulate skilled welders. The visual perception ability, and can exceed the limitations of human beings, such as: acquiring and processing the weld image under strong arc and splash interference, extracting the characteristic parameters of the weld pool in real time, predicting the welding structure, structure and performance, and achieving human difficulty. Automatic welding of special occasions for direct operation (such as underwater, space nuclear radiation environment, etc.) to ensure the stability and reliability of weld quality.

The visual sensing in welding generally includes single-spot one-dimensional visual sensing with single or several photoelectric receiving units (including line arrays) as detection components; planar array imaging two-dimensional visual sensing with mechanical scanning or electrical scanning Three-dimensional visual sensing is usually implemented by performing comprehensive processing operations on information obtained by multiple low-dimensional sensors.

With the joint efforts of researchers at home and abroad, computer vision is widely used in the fields of weld seam tracking, weld pool shape and penetration control, weld bead shape detection and control, etc., and has made important contributions to welding production, process automation and intelligence. . In view of the complexity of the welding process, the higher level of demand for welding technology in advanced manufacturing, and the higher performance and price requirements of users for new vision sensing systems, the complexity and reliability, real-time and accuracy of the system must be solved. Issues such as sex, controllability and intelligence.

Looking forward to the future, using the latest computer vision theory to develop welding robot vision sensing and control technology, the development of intelligent welding robots that can identify the target environment, accurately track the trajectory and adjust the welding parameters at any time has become one of the important development trends in the welding field. Many researchers at home and abroad have carried out fruitful research on the application of robot vision system in welding joint feature identification, welding parameter optimization, welding torch posture adjustment, welding path planning, weld seam tracking, weld penetration control. Well-known foreign welding robot manufacturers such as KUKA, GMF, Motoman, Adept, etc. have successively developed robots equipped with new vision sensing systems. Compared with ordinary robots, the new robots are widely welcomed by the market because of their wider application fields, more powerful functions and superior performance. They are usually twice the price of ordinary robots. Intelligent special robot products with visual sensing functions have also been developed in China. Vision-enabled robots have been used in the production of automotive, aerospace and heavy-duty components for the welding of boilers, pipes and large spherical tanks.

It is foreseeable that in the near future, intelligent robots with visual functions will completely replace the welders in the harsh conditions of deep water, outer space and nuclear radiation environment to complete the welding operation.

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