CN204397131U - Based on the Underwater Welding robot of image recognition - Google Patents
Based on the Underwater Welding robot of image recognition Download PDFInfo
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- CN204397131U CN204397131U CN201520051239.1U CN201520051239U CN204397131U CN 204397131 U CN204397131 U CN 204397131U CN 201520051239 U CN201520051239 U CN 201520051239U CN 204397131 U CN204397131 U CN 204397131U
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Abstract
The utility model relates to a kind of Underwater Welding robot based on image recognition, comprise welding gun driving arrangement, high-definition image sensor, image processor and master controller, described high-definition image sensor is for gathering the welding image of welding work pieces, described image processor is connected with described high-definition image sensor, image recognition processing is performed to detect the position while welding in described welding image to described welding image, described master controller is connected respectively with described welding gun driving arrangement and described image processor, control described welding gun driving arrangement based on described position while welding and arrive described position while welding to drive welding gun under water.By the utility model, the intelligence degree of Underwater Welding robot can be improved, not need manual operation can complete location and the welding of underwater weld.
Description
Technical field
The utility model relates to underwater robot field, particularly relates to a kind of Underwater Welding robot based on image recognition.
Background technology
Robot, English name is Robot, is the abbreviation of robot brain device.In contemporary industry, robot refers to the man-made machine device that can automatically perform task, for replacing or assisting human work, and place that is especially dangerous at some and that have injury or human body surely to stay for a long time to human body, such as, explosive-removal robot, underwater robot etc.Underwater Welding is an important application of underwater robot, adopts underwater robot to perform Underwater Welding, solves people and cannot perform the difficult problem of welding under water by extended stationary periods.
But, existing Underwater Welding robot cannot Automatic-searching to the weld seam on workpiece to be welded, people are needed to carry out remote control on the water surface, be specially Underwater Welding robot and underwater picture be wirelessly sent to computer system waterborne to be shown to operating personnel, operating personnel arrive welding position according to the welding assembly of display result manipulation underwater robot, just can complete welding operation.This Underwater Welding mode needs ceaselessly mutual with marine equipment and personnel, and waste man power and material, automatization level is not high.
Therefore, need a kind of new Underwater Welding robot, the welding gap on welding work pieces can be analyzed under water voluntarily, and the location comparison carried out between welding equipment and welding gap, send position drive singal to control welding equipment and automatically arrive welding position and weld, avoid occurring a large amount of interactive process.
Utility model content
In order to solve the problem, the utility model provides a kind of Underwater Welding robot based on image recognition, transform existing Underwater Welding robot system, high-resolution image recognition processing equipment is used immediately to identify welding gap position on welding work pieces, introduce the particular location that position sensor detects welding gun, two positions are compared to send position drive singal, automatic control welding gun welds, whole process does not need manual operation, drastically increases the efficiency of Underwater Welding.
According to one side of the present utility model, provide a kind of Underwater Welding robot based on image recognition, described Underwater Welding robot comprises welding gun driving arrangement, high-definition image sensor, image processor and master controller, described high-definition image sensor is for gathering the welding image of welding work pieces, described image processor is connected with described high-definition image sensor, image recognition processing is performed to detect the position while welding in described welding image to described welding image, described master controller is connected respectively with described welding gun driving arrangement and described image processor, control described welding gun driving arrangement based on described position while welding and arrive described position while welding to drive welding gun under water.
More specifically, described based in the Underwater Welding robot of image recognition, also comprise: welding gun under water, on the position while welding at described welding work pieces, carry out welding operation, power supply equipment, for providing supply of electric power for described Underwater Welding robot, described power supply equipment comprises Arc Welding Power, for providing weld power for described welding gun under water, described power supply equipment also connects described master controller, to carry out the switching with power mode to described Underwater Welding robot under the control of described master controller, described power mode comprises energy-saving mode and normal electricity consumption pattern, RS485 serial communication interface, is connected respectively with described master controller and described welding gun driving arrangement, realizes the RS485 serial communication between described master controller and described welding gun driving arrangement, wireless communication interface, be connected with described master controller by submerged cable, for setting up two-way wireless communication link with control system waterborne, to receive the control instruction that described control system waterborne sends, and send welding torch position lost contact alarm signal or position while welding lost contact alarm signal to described control system waterborne, position sensor, is connected with described welding gun under water, detects and exports the current location relative to welding gun under water described in described welding work pieces, described welding gun driving arrangement is arranged on the arm mechanism of described Underwater Welding robot, receives the framing signal that described master controller is forwarded by described RS485 serial communication interface, to drive welding gun under water to arrive described position while welding according to described framing signal, described high-definition image sensor comprises aubergine optical filter and Red lightscreening plate, described aubergine optical filter and described Red lightscreening plate are placed on the camera lens of described high-definition image sensor successively, for the filtering arclight when described high-definition image sensor gathers the welding image of welding work pieces, the resolution ratio of described high-definition image sensor is 1920 × 1080, and what the camera lens of described high-definition image sensor adopted is fish eye lens, described image processor comprises image preprocess apparatus, threshold determining apparatus and weld seam recognition device, described image preprocess apparatus is connected with described high-definition image sensor, for performing self adaptation recursive filtering successively to described welding image, edge strengthens and gray processing process, obtain gray level image, described threshold determining apparatus is connected with described image preprocess apparatus, select each gray value alternatively gray value threshold value between 0-255 one by one, use candidate's gray value threshold value that described gray level image is divided into target gray image and background gray level image, and the grey scale pixel value variance of adding up between described target gray image and described background gray level image, get the maximum candidate's gray value threshold value of described grey scale pixel value variance as target gray value threshold value, described weld seam recognition device is connected with described threshold determining apparatus and described image preprocess apparatus, based on described target gray value threshold value, described gray level image is divided into target gray image and background gray level image, identify based on described target gray value Threshold segmentation to target gray image in weld seam, determine that the weld seam that the recognizes relative position in described welding work pieces is to export as position while welding, described master controller is ARM9 flush bonding processor, be connected respectively with described RS485 serial communication interface, described position sensor and described weld seam recognition device, the displacement of welding gun under water described in determining based on the current location of described position while welding and described welding gun under water, and the displacement of described welding gun is under water included in framing signal, described framing signal is exported by described RS485 serial communication interface, wherein, described image preprocess apparatus, described threshold determining apparatus and described weld seam recognition device adopt different fpga chips to realize respectively, when the current location of welding gun is failed described in described master controller receives, send welding torch position lost contact alarm signal under water, and when receiving the failure of described position while welding, send position while welding lost contact alarm signal.
More specifically, based in the Underwater Welding robot of image recognition, described position sensor comprises infrared detector described, for the current location detected relative to welding gun under water described in described welding work pieces.
More specifically, based in the Underwater Welding robot of image recognition, described position sensor comprises supersonic reflectoscope described, for the current location detected relative to welding gun under water described in described welding work pieces.
More specifically, described based in the Underwater Welding robot of image recognition, described power supply equipment, described high-definition image sensor, described image processor and described master controller are integrated on one piece of surface-mounted integrated circuit, and described surface-mounted integrated circuit has closed shell.
More specifically, based in the Underwater Welding robot of image recognition, described welding gun is under water arranged on the arm mechanism of described Underwater Welding robot described, and is connected with described welding gun driving arrangement.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present utility model is described, wherein:
Fig. 1 is the block diagram of the Underwater Welding robot based on image recognition according to the utility model embodiment.
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the Underwater Welding robot based on image recognition of the present utility model is described in detail.
Along with the startup of a large amount of bridge infrastructure projects and the development of offshore oil and gas industry, the situation of underwater operation gets more and more, due to the particularity of underwater environment, operating personnel can not normal execution workpiece welding operation as on land, and oneself lower water welding can only be substituted by soldering appliance, wherein, applying the most general equipment is Underwater Welding robot.
The Underwater Welding robot of prior art has welding gun driving mechanism and workpiece image collecting mechanism, the real-time working condition of welding work pieces can be sent to control appliance on the water surface for operating personnel's reference, operating personnel also control by the move mode of the real-time Butt welding gun driving mechanism of means of communication, to be moved quickly into by welding gun driving mechanism on the welding gap on welding work pieces, start the operation of normal Underwater Welding.
But, this Underwater Welding robot of the prior art still belongs to semi-automatic work pattern, need the instruction waiting for operating personnel waterborne, too much manual operation have impact on the operating efficiency of Underwater Welding, also improves human cost and the economic benefit of Underwater Welding.
Underwater Welding robot based on image recognition of the present utility model, introduce image recognition technology to determine to weld gap position, introduce position sensor determination welding torch position, based on welding gap position and welding torch position determination welding gun shift length, realize the Automatic Control of Underwater Welding robot.
Fig. 1 is the block diagram of the Underwater Welding robot based on image recognition according to the utility model embodiment, described Underwater Welding robot comprises: welding gun 1 under water, welding gun driving arrangement 2, high-definition image sensor 3, image processor 4, master controller 5, RS485 serial communication interface 6, wireless communication interface 7, position sensor 8 and power supply equipment 9, described master controller 5 and described welding gun under water 1, described welding gun driving arrangement 2, described high-definition image sensor 3, described image processor 4, described RS485 serial communication interface 6, described wireless communication interface 7, described position sensor 8 is connected respectively with described power supply equipment 9, described welding gun under water 1 is connected with described welding gun driving arrangement 2, described high-definition image sensor 3 is connected with described image processor 4.
Wherein, described high-definition image sensor 3 is for gathering the welding image of welding work pieces, described image processor 4 is for performing image recognition processing to detect the position while welding in described welding image to described welding image, and described master controller 5 arrives described position while welding for controlling described welding gun driving arrangement 2 based on described position while welding to drive welding gun 1 under water.
Then, continue to be further detailed the concrete structure of the Underwater Welding robot based on image recognition of the present utility model.
Described welding gun under water 1, carries out welding operation on the position while welding at described welding work pieces; Described power supply equipment 9, for providing supply of electric power for described Underwater Welding robot, described power supply equipment 9 comprises Arc Welding Power, for providing weld power for described welding gun under water 1, described power supply equipment 9 also connects described master controller 5, to carry out the switching with power mode to described Underwater Welding robot under the control of described master controller 5, described power mode comprises energy-saving mode and normal electricity consumption pattern.
Described RS485 serial communication interface 6, is connected respectively with described master controller 5 and described welding gun driving arrangement 2, realizes the RS485 serial communication between described master controller 5 and described welding gun driving arrangement 2; Described wireless communication interface 7, be connected with described master controller 5 by submerged cable, for setting up two-way wireless communication link with control system waterborne, to receive the control instruction that described control system waterborne sends, and send welding torch position lost contact alarm signal or position while welding lost contact alarm signal to described control system waterborne.
Described position sensor 8, is connected with described welding gun under water 1, detects and exports the current location relative to welding gun 1 under water described in described welding work pieces; Described welding gun driving arrangement 2 is arranged on the arm mechanism of described Underwater Welding robot, receive the framing signal that described master controller 5 is forwarded by described RS485 serial communication interface 6, arrive described position while welding to drive welding gun 1 under water according to described framing signal.
Described high-definition image sensor 3 comprises aubergine optical filter and Red lightscreening plate, described aubergine optical filter and described Red lightscreening plate are placed on the camera lens of described high-definition image sensor 3 successively, for the filtering arclight when described high-definition image sensor 3 gathers the welding image of welding work pieces, the resolution ratio of described high-definition image sensor 3 is 1920 × 1080, and what the camera lens of described high-definition image sensor 3 adopted is fish eye lens.
Described image processor 4 comprises image preprocess apparatus, threshold determining apparatus and weld seam recognition device, described image preprocess apparatus is connected with described high-definition image sensor 3, for performing self adaptation recursive filtering successively to described welding image, edge strengthens and gray processing process, obtains gray level image.
Described threshold determining apparatus is connected with described image preprocess apparatus, select each gray value alternatively gray value threshold value between 0-255 one by one, use candidate's gray value threshold value that described gray level image is divided into target gray image and background gray level image, and the grey scale pixel value variance of adding up between described target gray image and described background gray level image, get the maximum candidate's gray value threshold value of described grey scale pixel value variance as target gray value threshold value, described weld seam recognition device is connected with described threshold determining apparatus and described image preprocess apparatus, based on described target gray value threshold value, described gray level image is divided into target gray image and background gray level image, identify based on described target gray value Threshold segmentation to target gray image in weld seam, determine that the weld seam that the recognizes relative position in described welding work pieces is to export as position while welding.
Described master controller 5 is ARM9 flush bonding processor, be connected respectively with described RS485 serial communication interface 6, described position sensor 8 and described weld seam recognition device, the displacement of welding gun 1 under water described in determining based on the current location of described position while welding and described welding gun under water 1, and the displacement of described welding gun under water 1 is included in framing signal, described framing signal is exported by described RS485 serial communication interface 6.
Wherein, described image preprocess apparatus, described threshold determining apparatus and described weld seam recognition device adopt different fpga chips to realize respectively; When the current location of welding gun 1 is failed described in described master controller 5 receives, send welding torch position lost contact alarm signal under water, and when receiving the failure of described position while welding, send position while welding lost contact alarm signal.
Wherein, described based in the Underwater Welding robot of image recognition, described position sensor 8 comprises infrared detector, for the current location detected relative to welding gun under water described in described welding work pieces, described position sensor also can comprise supersonic reflectoscope, for the current location detected relative to welding gun under water described in described welding work pieces, described power supply equipment 9, described high-definition image sensor 3, described image processor 4 and described master controller 5 are integrated on one piece of surface-mounted integrated circuit, described surface-mounted integrated circuit has closed shell, described welding gun under water 1 is arranged on the arm mechanism of described Underwater Welding robot, and be connected with described welding gun driving arrangement 2.
In addition, the cordless communication network that described wireless communication interface 7 uses can be the one in 3G or 4G communication network, 3G refers to third generation mobile communication system radio communication be combined with multimedia communications such as Internets, the main distinction of 3G and 2G is the lifting in the speed of transmission voice and data, he can realize radio roaming in the world better, and process image, music, the media forms such as video flowing, providing package purse rope page browsing, videoconference, the much information services such as ecommerce, also to consider the favorable compatibility with existing second-generation system simultaneously.In order to provide this service, wireless network must can support different data transmission bauds, that is can support the transmission speed (this numerical value can change according to network environment) of at least 2Mbps (megabit/per second), 384kbps (kilobit/per second) and 144kbps in environment that is indoor, outdoor and that drive a vehicle respectively.
4G is the abbreviation of forth generation mobile communication and technology thereof, is to integrate 3G and WLAN and can high quality video image and image transmitting quality and the equal technical products of high-definition television.4G system can be downloaded with the speed of 100Mbps, and than dialling up on the telephone fast 2000 times, the speed uploaded also can reach 20Mbps, and can meet the requirement of nearly all user for wireless service.In addition, 4G can not have chlamydate place to dispose at DSL and Cable Modem, and then expands to whole distract.
Adopt the Underwater Welding robot based on image recognition of the present utility model, the technical problem of welding efficiency is too much affected for the manual operation of existing semi-automatic Underwater Welding robot, introduce high-precision image recognition technology and position sensing technology to determine that welding robot welding mechanism arrives the distance of movement needed for welding position, and control welding mechanism moves to welding position voluntarily, realizes the Full-automatic welding of Underwater Welding robot.
Be understandable that, although the utility model with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the utility model.For any those of ordinary skill in the art, do not departing under technical solutions of the utility model ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solutions of the utility model, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solutions of the utility model, according to technical spirit of the present utility model to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solutions of the utility model protection.
Claims (6)
1. the Underwater Welding robot based on image recognition, it is characterized in that, described Underwater Welding robot comprises welding gun driving arrangement, high-definition image sensor, image processor and master controller, described high-definition image sensor is for gathering the welding image of welding work pieces, described image processor is connected with described high-definition image sensor, image recognition processing is performed to detect the position while welding in described welding image to described welding image, described master controller is connected respectively with described welding gun driving arrangement and described image processor, control described welding gun driving arrangement based on described position while welding and arrive described position while welding to drive welding gun under water.
2., as claimed in claim 1 based on the Underwater Welding robot of image recognition, it is characterized in that, described Underwater Welding robot also comprises:
Welding gun under water, carries out welding operation on the position while welding at described welding work pieces;
Power supply equipment, for providing supply of electric power for described Underwater Welding robot, described power supply equipment comprises Arc Welding Power, for providing weld power for described welding gun under water, described power supply equipment also connects described master controller, to carry out the switching with power mode to described Underwater Welding robot under the control of described master controller, described power mode comprises energy-saving mode and normal electricity consumption pattern;
RS485 serial communication interface, is connected respectively with described master controller and described welding gun driving arrangement, realizes the RS485 serial communication between described master controller and described welding gun driving arrangement;
Wireless communication interface, be connected with described master controller by submerged cable, for setting up two-way wireless communication link with control system waterborne, to receive the control instruction that described control system waterborne sends, and send welding torch position lost contact alarm signal or position while welding lost contact alarm signal to described control system waterborne;
Position sensor, is connected with described welding gun under water, detects and exports the current location relative to welding gun under water described in described welding work pieces;
Described welding gun driving arrangement is arranged on the arm mechanism of described Underwater Welding robot, receives the framing signal that described master controller is forwarded by described RS485 serial communication interface, to drive welding gun under water to arrive described position while welding according to described framing signal;
Described high-definition image sensor comprises aubergine optical filter and Red lightscreening plate, described aubergine optical filter and described Red lightscreening plate are placed on the camera lens of described high-definition image sensor successively, for the filtering arclight when described high-definition image sensor gathers the welding image of welding work pieces, the resolution ratio of described high-definition image sensor is 1920 × 1080, and what the camera lens of described high-definition image sensor adopted is fish eye lens;
Described image processor comprises image preprocess apparatus, threshold determining apparatus and weld seam recognition device, described image preprocess apparatus is connected with described high-definition image sensor, for performing self adaptation recursive filtering successively to described welding image, edge strengthens and gray processing process, obtain gray level image, described threshold determining apparatus is connected with described image preprocess apparatus, select each gray value alternatively gray value threshold value between 0-255 one by one, use candidate's gray value threshold value that described gray level image is divided into target gray image and background gray level image, and the grey scale pixel value variance of adding up between described target gray image and described background gray level image, get the maximum candidate's gray value threshold value of described grey scale pixel value variance as target gray value threshold value, described weld seam recognition device is connected with described threshold determining apparatus and described image preprocess apparatus, based on described target gray value threshold value, described gray level image is divided into target gray image and background gray level image, identify based on described target gray value Threshold segmentation to target gray image in weld seam, determine that the weld seam that the recognizes relative position in described welding work pieces is to export as position while welding,
Described master controller is ARM9 flush bonding processor, be connected respectively with described RS485 serial communication interface, described position sensor and described weld seam recognition device, the displacement of welding gun under water described in determining based on the current location of described position while welding and described welding gun under water, and the displacement of described welding gun is under water included in framing signal, described framing signal is exported by described RS485 serial communication interface;
Wherein, described image preprocess apparatus, described threshold determining apparatus and described weld seam recognition device adopt different fpga chips to realize respectively;
Wherein, when the current location of welding gun is failed described in described master controller receives, send welding torch position lost contact alarm signal under water, and when receiving the failure of described position while welding, send position while welding lost contact alarm signal.
3., as claimed in claim 2 based on the Underwater Welding robot of image recognition, it is characterized in that:
Described position sensor comprises infrared detector, for the current location detected relative to welding gun under water described in described welding work pieces.
4., as claimed in claim 2 based on the Underwater Welding robot of image recognition, it is characterized in that:
Described position sensor comprises supersonic reflectoscope, for the current location detected relative to welding gun under water described in described welding work pieces.
5., as claimed in claim 2 based on the Underwater Welding robot of image recognition, it is characterized in that:
Described power supply equipment, described high-definition image sensor, described image processor and described master controller are integrated on one piece of surface-mounted integrated circuit, and described surface-mounted integrated circuit has closed shell.
6., as claimed in claim 2 based on the Underwater Welding robot of image recognition, it is characterized in that:
Described welding gun is under water arranged on the arm mechanism of described Underwater Welding robot, and is connected with described welding gun driving arrangement.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104588833A (en) * | 2015-01-24 | 2015-05-06 | 无锡桑尼安科技有限公司 | Underwater welding robot based on image identification |
| CN104999200A (en) * | 2015-08-04 | 2015-10-28 | 李勇妹 | Diver portable system |
| CN105014196A (en) * | 2015-08-04 | 2015-11-04 | 梁彦云 | Underwater weld seam tracking device based on neural network recognition |
| CN105081516A (en) * | 2015-08-04 | 2015-11-25 | 刘杰 | Diver underwater welding system based on data communication |
| CN105204415A (en) * | 2015-09-18 | 2015-12-30 | 毛茂军 | Remote control system of underwater robot |
| CN106077889A (en) * | 2015-08-04 | 2016-11-09 | 李小春 | The underwater robot processed based on multiple filter |
| CN108747110A (en) * | 2018-06-11 | 2018-11-06 | 纽科伦（新乡）起重机有限公司 | One kind being automatically positioned welding system by image recognition |
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2015
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104588833A (en) * | 2015-01-24 | 2015-05-06 | 无锡桑尼安科技有限公司 | Underwater welding robot based on image identification |
| CN105945390A (en) * | 2015-01-24 | 2016-09-21 | 张兰花 | Underwater welding robot based on image identification |
| CN106180964A (en) * | 2015-01-24 | 2016-12-07 | 石梦媛 | Underwater Welding robot based on image recognition |
| CN104999200A (en) * | 2015-08-04 | 2015-10-28 | 李勇妹 | Diver portable system |
| CN105014196A (en) * | 2015-08-04 | 2015-11-04 | 梁彦云 | Underwater weld seam tracking device based on neural network recognition |
| CN105081516A (en) * | 2015-08-04 | 2015-11-25 | 刘杰 | Diver underwater welding system based on data communication |
| CN104999200B (en) * | 2015-08-04 | 2016-08-24 | 青岛青知企业管理咨询有限公司 | Diver portable system |
| CN106077889A (en) * | 2015-08-04 | 2016-11-09 | 李小春 | The underwater robot processed based on multiple filter |
| CN105204415A (en) * | 2015-09-18 | 2015-12-30 | 毛茂军 | Remote control system of underwater robot |
| CN108747110A (en) * | 2018-06-11 | 2018-11-06 | 纽科伦（新乡）起重机有限公司 | One kind being automatically positioned welding system by image recognition |
| CN108747110B (en) * | 2018-06-11 | 2020-12-25 | 纽科伦（新乡）起重机有限公司 | Automatic positioning welding system through image recognition |
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