CN107378315A - A kind of robotic laser visual sensing inspection software system - Google Patents

A kind of robotic laser visual sensing inspection software system Download PDF

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Publication number
CN107378315A
CN107378315A CN201710489271.1A CN201710489271A CN107378315A CN 107378315 A CN107378315 A CN 107378315A CN 201710489271 A CN201710489271 A CN 201710489271A CN 107378315 A CN107378315 A CN 107378315A
Authority
CN
China
Prior art keywords
information
robot
laser
displacement sensor
software system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710489271.1A
Other languages
Chinese (zh)
Inventor
刘凯
李龙
林郁
冯家慧
王志祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu County Special Visual Polytron Technologies Inc
Original Assignee
Jiangsu County Special Visual Polytron Technologies Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu County Special Visual Polytron Technologies Inc filed Critical Jiangsu County Special Visual Polytron Technologies Inc
Priority to CN201710489271.1A priority Critical patent/CN107378315A/en
Publication of CN107378315A publication Critical patent/CN107378315A/en
Pending legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K37/00Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups

Abstract

The invention discloses a kind of robotic laser visual sensing inspection software system, including robot, in addition to it is arranged in robot, the laser displacement sensor for weld seam scanning;This method specifically comprises the following steps:Step 1: image procossing:The laser displacement sensor detects that image is pre-processed and is converted to data signal by A/D;Step 2: information extraction:Weld information in data signal described in step 1 is extracted and stored;Step 3: information superposition and control:The positional information of the information of step 2 storage and robot is overlapped and sends pulse information, the pulse information is controlled to robot.The convenient operation of the present invention, adaptive all kinds of welding types, cost is low, production efficiency is high.

Description

A kind of robotic laser visual sensing inspection software system
Technical field
The present invention relates to a kind of robotic laser visual sensing inspection software system.
Background technology
Increasingly faster with industrial development, robot is generalized in industrial development, the bonding machine for industrial welding Device people, in welding process, generally welding robot is manually controlled to carry out welding job with a variety of different postures, automatically Change degree is low, simultaneously as manual control accuracy is low, it is excessive to handle degree-of-difficulty factor for weld seam.
The content of the invention
It is an object of the invention to provide a kind of robotic laser visual sensing inspection software system, convenient operation, adaptively All kinds of welding types, cost is low, production efficiency is high.
The object of the present invention is achieved like this:A kind of robotic laser visual sensing inspection software system, including machine People's control system, robot, in addition to be arranged in robot, the laser displacement sensor for weld seam scanning;This method has Body comprises the following steps:
Step 1: detection:The laser displacement sensor detection identifies weld seam locus, shape, the position signalling of feedback Instruct to robot control system;
Step 2: image procossing:The image that step 1 is detected is pre-processed and changed by A/D
For data signal;
Step 3: information extraction:Weld information in data signal described in step 2 is extracted and stored;
Step 4: information superposition and control:The positional information of the information of step 3 storage and robot is overlapped and sent Pulse information, the pulse information are controlled to robot.
Compared with prior art, the beneficial effects of the present invention are:Due to laser displacement sensor can precision ranging, pin To specific weld seam form, disturbing factor is filtered out, accurately calculates the section configuration of weld seam, finds out correct position while welding, side Convenient to operate, adaptive all kinds of welding types, cost is low, production efficiency is high.
As the improvement of the present invention, the weld information includes positional information, groove information, misalignment information respectively.
As a further improvement on the present invention, the laser displacement sensor is divided into laser triangulation, return laser beam Analytic approach;The laser triangulation is used for high accuracy, short distance measurement, and the return laser beam analytic approach is used to survey at a distance Amount.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
As shown in figure 1, a kind of robotic laser visual sensing inspection software system, including robot control system, machine People, in addition to be arranged in robot, the laser displacement sensor for weld seam scanning;This method specifically comprises the following steps:
Step 1: detection:The laser displacement sensor detection identifies weld seam locus, shape, the position signalling of feedback Instruct to robot control system;
Step 2: image procossing:The image that step 1 is detected is pre-processed and changed by A/D
For data signal;
Step 3: information extraction:Weld information in data signal described in step 2 is extracted and stored;
Step 4: information superposition and control:The positional information of the information of step 3 storage and robot is overlapped and sent Pulse information, the pulse information are controlled to robot.
Above-mentioned weld information includes positional information, groove information, misalignment information respectively.
Above-mentioned laser displacement sensor is divided into laser triangulation, return laser beam analytic approach;The laser triangulation Method is used for high accuracy, short distance measurement, and the return laser beam analytic approach is used for telemeasurement.
Operation principle of the present invention is described below, and workpiece is scanned by laser displacement sensor, and detection identifies weldering Gap space position, shape, the position signalling of feedback are instructed to robot control system, realize robot automatically scanning, detection Function.
The invention is not limited in above-described embodiment, on the basis of technical scheme disclosed by the invention, the skill of this area Art personnel are according to disclosed technology contents, it is not necessary to which performing creative labour can makes one to some of which technical characteristic A little to replace and deform, these are replaced and deformation is within the scope of the present invention.

Claims (3)

  1. A kind of 1. robotic laser visual sensing inspection software system, it is characterised in that:Including robot
    Control system, robot, in addition to be arranged in robot, the laser displacement sensor for weld seam scanning;This method Specifically comprise the following steps:
    Step 1: detection:The laser displacement sensor detection identifies weld seam locus, shape, the position signalling of feedback Instruct to robot control system;
    Step 2: image procossing:The image that step 1 is detected is pre-processed and changed by A/D
    For data signal;
    Step 3: information extraction:Weld information in data signal described in step 2 is extracted and stored;
    Step 4: information superposition and control:The positional information of the information of step 3 storage and robot is overlapped and sent Pulse information, the pulse information are controlled to robot.
  2. A kind of 2. robotic laser visual sensing inspection software system according to claim 1, it is characterised in that:The weldering Stitch information includes positional information, groove information, misalignment information respectively.
  3. A kind of 3. robotic laser visual sensing inspection software system according to claim 1, it is characterised in that:It is described to swash Optical displacement sensor is divided into laser triangulation, return laser beam analytic approach;The laser triangulation is used for high-precision, short Range measurement, the return laser beam analytic approach are used for telemeasurement.
CN201710489271.1A 2017-06-24 2017-06-24 A kind of robotic laser visual sensing inspection software system Pending CN107378315A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710489271.1A CN107378315A (en) 2017-06-24 2017-06-24 A kind of robotic laser visual sensing inspection software system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710489271.1A CN107378315A (en) 2017-06-24 2017-06-24 A kind of robotic laser visual sensing inspection software system

Publications (1)

Publication Number Publication Date
CN107378315A true CN107378315A (en) 2017-11-24

Family

ID=60332125

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710489271.1A Pending CN107378315A (en) 2017-06-24 2017-06-24 A kind of robotic laser visual sensing inspection software system

Country Status (1)

Country Link
CN (1) CN107378315A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102837103A (en) * 2012-09-14 2012-12-26 长沙长泰机器人有限公司 Automatic assembling and welding system based on three-dimensional laser vision
CN102950365A (en) * 2011-08-30 2013-03-06 昆山工研院工业机器人研究所有限公司 Compensation method of hand-eye relation between laser vision sensing head and welding gun
CN104002051A (en) * 2014-06-03 2014-08-27 湖南大学 Vertical detection device and method for laser welding
US20150001196A1 (en) * 2013-07-01 2015-01-01 Electronics And Telecommunications Research Institute Apparatus and method for monitoring laser welding bead
CN105312731A (en) * 2014-07-30 2016-02-10 李文畅 Delivery side displacement sensing based automatic tracking method for inner weld seam of spiral steel pipe
CN105643158A (en) * 2016-03-22 2016-06-08 哈尔滨工业大学 Self-adaptive laser scanning device for welding seam and control method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102950365A (en) * 2011-08-30 2013-03-06 昆山工研院工业机器人研究所有限公司 Compensation method of hand-eye relation between laser vision sensing head and welding gun
CN102837103A (en) * 2012-09-14 2012-12-26 长沙长泰机器人有限公司 Automatic assembling and welding system based on three-dimensional laser vision
US20150001196A1 (en) * 2013-07-01 2015-01-01 Electronics And Telecommunications Research Institute Apparatus and method for monitoring laser welding bead
CN104002051A (en) * 2014-06-03 2014-08-27 湖南大学 Vertical detection device and method for laser welding
CN105312731A (en) * 2014-07-30 2016-02-10 李文畅 Delivery side displacement sensing based automatic tracking method for inner weld seam of spiral steel pipe
CN105643158A (en) * 2016-03-22 2016-06-08 哈尔滨工业大学 Self-adaptive laser scanning device for welding seam and control method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄志坚等: "《液压及电控系统设计开发》", 31 October 2015, 中国电力出版社 *

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Application publication date: 20171124