CN104655717A - Machine vision-based intelligent crankshaft detection system - Google Patents
Machine vision-based intelligent crankshaft detection system Download PDFInfo
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- CN104655717A CN104655717A CN201310614217.7A CN201310614217A CN104655717A CN 104655717 A CN104655717 A CN 104655717A CN 201310614217 A CN201310614217 A CN 201310614217A CN 104655717 A CN104655717 A CN 104655717A
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Abstract
The invention discloses a machine vision-based intelligent crankshaft detection system, and belongs to the technical field of automatic control. The machine vision-based intelligent crankshaft detection system is characterized by comprising a main control computer (1), an interface circuit (2), a signal conversion module (3), a display module (4), a print output module (5), an ARM controller (6), a drive module (7), a stepping motor (8), a mechanical rotation unit (9), a CCD industrial camera (10), a to-be-detected crankshaft (11), a signal processing module (12) and an ultraviolet radiation module (13). Compared with the prior art, the machine vision-based intelligent crankshaft detection system has the advantages of simple system structure, convenience in assembling and debugging, high system reliability, high measurement accuracy, low power consumption and the like, and is easy to popularize and convenient to maintain.
Description
Technical field
The invention belongs to automatic control technology field, in particular, belong to a kind of intelligent tractor crankshaft system based on machine vision.
Background technology
Along with China's automobile market recoverable amount is on the increase, abandoned car quantity also continues to increase, and the retired key components and parts of automobile such as the remanufacturing industry of bent axle also receives the concern of scientific research personnel gradually.To carrying out flaw detection and the defect recognition of abandoned car critical component, be the key link of remanufacturing industry, its levels of precision, operating efficiency detected, directly affect parts and reclaim the whole process manufactured again.
Classic method relies on artificial naked eyes identification to judge to differentiate the defect shown by fluorescent powder.The method operating efficiency is low, it is very high to cut worker skill's level, resolving ability and skill requirement, and long working easily produces personnel's fatigue, affects production efficiency and accuracy of detection.Fluorescent magnetic particle flaw detection, as the common technology detecting ferrimagnet surface and nearly surperficial defect, if can merge with compunication and sensor technology, for retired spare parts remanufacture is served, gives full play to its technology efficiency surely.
Summary of the invention
The present invention, in order to effectively solve above technical matters, gives a kind of intelligent tractor crankshaft system based on machine vision.The intelligent tractor crankshaft system based on machine vision that the present invention provides, is used for realizing Non-Destructive Testing and the Intelligent Recognition of decommissioning crankshaft surface and near surface flaw, the automaticity of raising bent axle fluorescent magnetic particle flaw detection.
A kind of intelligent tractor crankshaft system based on machine vision of the present invention, is characterized in that: comprise main control computer, interface circuit, signal conversion module, display module, printout module, ARM controller, driver module, stepper motor, mechanical rotary unit, CCD industrial camera, bent axle to be measured, signal processing module, UV-irradiation module; Wherein:
Described main control computer respectively with described interface circuit, described signal conversion module, described display module, described printout module is connected, described ARM controller respectively with described interface circuit, described driver module is connected, described stepper motor respectively with described driver module, described mechanical rotary unit is connected, described CCD industrial camera respectively with described mechanical rotary unit, described bent axle to be measured is connected, described bent axle to be measured respectively with described CCD industrial camera, described signal processing module, described UV-irradiation module is connected, described signal conversion module, describedly comprise main control computer, described signal processing module is connected.
The present invention is compared with prior art: have that system architecture is simple, installation and debugging convenient, system reliability is high, measuring accuracy is high, low in energy consumption, be easy to penetration and promotion, the advantage such as easy to maintenance.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation of the intelligent tractor crankshaft system that the present invention is based on machine vision.
Embodiment
Fig. 1 is the structural representation of the intelligent tractor crankshaft system that the present invention is based on machine vision, and the intelligent tractor crankshaft system based on machine vision comprises main control computer 1, interface circuit 2, signal conversion module 3, display module 4, printout module 5, ARM controller 6, driver module 7, stepper motor 8, mechanical rotary unit 9, CCD industrial camera 10, bent axle to be measured 11, signal processing module 12, UV-irradiation module 13; Wherein:
Described main control computer 1 respectively with described interface circuit 2, described signal conversion module 3, described display module 4, described printout module 5 is connected, described ARM controller 6 respectively with described interface circuit 2, described driver module 7 is connected, described stepper motor 8 respectively with described driver module 7, described mechanical rotary unit 9 is connected, described CCD industrial camera 10 respectively with described mechanical rotary unit 9, described bent axle to be measured 11 is connected, described bent axle to be measured 11 respectively with described CCD industrial camera 10, described signal processing module 12, described UV-irradiation module 13 is connected, described signal conversion module 3, describedly comprise main control computer 1, described signal processing module 12 is connected.
Claims (1)
1. based on an intelligent tractor crankshaft system for machine vision, it is characterized in that: comprise main control computer (1), interface circuit (2), signal conversion module (3), display module (4), printout module (5), ARM controller (6), driver module (7), stepper motor (8), mechanical rotary unit (9), CCD industrial camera (10), bent axle to be measured (11), signal processing module (12), UV-irradiation module (13); Wherein:
Described main control computer (1) respectively with described interface circuit (2), described signal conversion module (3), described display module (4), described printout module (5) is connected, described ARM controller (6) respectively with described interface circuit (2), described driver module (7) is connected, described stepper motor (8) respectively with described driver module (7), described mechanical rotary unit (9) is connected, described CCD industrial camera (10) respectively with described mechanical rotary unit (9), described bent axle to be measured (11) is connected, described bent axle to be measured (11) respectively with described CCD industrial camera (10), described signal processing module (12), described UV-irradiation module (13) is connected, described signal conversion module (3), describedly comprise main control computer (1), described signal processing module (12) is connected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310614217.7A CN104655717A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based intelligent crankshaft detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310614217.7A CN104655717A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based intelligent crankshaft detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104655717A true CN104655717A (en) | 2015-05-27 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201310614217.7A Pending CN104655717A (en) | 2013-11-25 | 2013-11-25 | Machine vision-based intelligent crankshaft detection system |
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| CN (1) | CN104655717A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107764894A (en) * | 2016-08-22 | 2018-03-06 | 宝山钢铁股份有限公司 | Steel pipe magnetic powder inspection image-forming detecting system and method |
| CN114235816A (en) * | 2021-12-17 | 2022-03-25 | 中国船舶重工集团公司第七一一研究所 | Surface quality inspection device and surface quality inspection method |
| CN115389519A (en) * | 2022-10-28 | 2022-11-25 | 徐州成光卫设备有限公司 | Crankshaft manufacturing surface detection and analysis method based on industrial camera |
-
2013
- 2013-11-25 CN CN201310614217.7A patent/CN104655717A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107764894A (en) * | 2016-08-22 | 2018-03-06 | 宝山钢铁股份有限公司 | Steel pipe magnetic powder inspection image-forming detecting system and method |
| CN114235816A (en) * | 2021-12-17 | 2022-03-25 | 中国船舶重工集团公司第七一一研究所 | Surface quality inspection device and surface quality inspection method |
| CN114235816B (en) * | 2021-12-17 | 2024-03-29 | 中国船舶集团有限公司第七一一研究所 | Surface quality inspection device and surface quality inspection method |
| CN115389519A (en) * | 2022-10-28 | 2022-11-25 | 徐州成光卫设备有限公司 | Crankshaft manufacturing surface detection and analysis method based on industrial camera |
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Application publication date: 20150527 |