CN104048968A - Industrial processing part automatic defect identification system - Google Patents
Industrial processing part automatic defect identification system Download PDFInfo
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- CN104048968A CN104048968A CN201410245503.5A CN201410245503A CN104048968A CN 104048968 A CN104048968 A CN 104048968A CN 201410245503 A CN201410245503 A CN 201410245503A CN 104048968 A CN104048968 A CN 104048968A
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Abstract
An industrial processing part automatic defect identification system comprises a universal end, a special end and a concentrative monitoring end, the concentrative monitoring end gathers and analyzes data of the universal end and the special end, the general end comprises a universal parameter or algorithm related optical system and a mechanical system, the optical system and the mechanical system have versatility, the optical system is an optical illumination and image acquisition system aiming at a specific processing algorithm, and the mechanical system aims at specific parameters; and the special end comprises a part defect specific optical system and a mechanical system, the special end optical system is an optical illumination and image acquisition system aiming at specific parts and part defect regulation, and the special end mechanical system is a mechanical system aiming at specific parts and part defect designing. The industrial processing part automatic defect identification system has the advantages of completion of the automatic screening of a part production line, reduction of the artificial intervention of the part production line, improvement of the part batch quality and cost reduction by automatically identifying and determining whether parts have defects or not.
Description
Technical field
The present invention relates to a kind of industrial part manufacture field, in particular, relate to a kind of industrial processes part automatic defect recognition system.
Background technology
At present, the robotization that the processing of domestic part can basic guarantee manufacturing procedure, but for the part defect occurring in process, i.e. rejected part, still depends on artificial screening in a large number.The disadvantage of this mode mainly contains: need very many manpowers.Along with the progressively rising of domestic human cost, the cost of part also can increase thereupon; The subjectivity of artificial screening is strong.There is higher loss; Lack defective data support, the reason that analyzing defect produces is inconvenient to recall in part processing enterprise.
Summary of the invention
The present invention is directed to the technical matters existing in above-mentioned prior art, a kind of industrial processes part automatic defect recognition system is provided, this system applies is in part manufacture field, identification by robotization and judge whether defectiveness of part, complete the automatic screening of part production line, thereby can reduce the manual intervention of part production line, improve the quality of part lot and reduce costs.Meanwhile, can by after the real time data of systems inspection and historical information general analyzes for enterprise diagnosis defect cause is offered help.
For achieving the above object, the technical solution adopted in the present invention is as follows:
A kind of industrial processes part automatic defect recognition system, comprise general end, special end and Centralized Monitoring end, described general end collection and control the general defective data of nonspecific part, the on-the-spot defective data of described special end collection and control specific component, described Centralized Monitoring end gathers and analyzes the data of general end and special end, described general end comprises some general parameters or relevant optical system and the mechanical system of algorithm, general end optical system and mechanical system have versatility, can process different parts, general end optical system is illumination optical and the image capturing system for particular procedure algorithm, general end mechanical system is the mechanical system for special parameter, described special end comprises the specific optical system of part defect and mechanical system, special end optical system is illumination optical and the image capturing system for specific part and part defect instruction, and special end mechanical system is the mechanical system for specific part and part defect design.
Described general end comprises general collection terminal and conventional data processing controls end, described general collection terminal is for gathering the part field data for conventional data processing controls end, described in the control of described conventional data processing controls end, the optical system of general collection terminal is carried out part image scene data capture, then by some general defects of machine vision and image processing algorithm identification part.
Described conventional data processing controls end is realized by the PC that connects Ethernet.
Described special end comprises special collection terminal and exclusive data processing controls end, described special collection terminal is for gathering the part field data for exclusive data processing controls end, and described exclusive data processing controls end adopts relevant machine vision and the image processing algorithm of part morphological parameters to carry out the identification of part defect.
Described exclusive data processing controls end is realized by the PC that connects Ethernet.
Described centralized control end is also realized by the PC that connects Ethernet.
The workflow of described general end comprises:
Optical system drives: the operation-interface that access and control optical system are provided;
Mechanical system drives: the operation-interface that access and control mechanical system are provided;
Parameters of The Parts typing: the module that receives part and the typing of defect general parameter;
Machine vision algorithms library: the algorithms library that according to part and defect parameters, optical system photographic images is carried out defect estimation;
Remote control command processing: the remote command that receives and process Centralized Monitoring end;
Local data is processed and statistics: the significant data that defects detection real-time system is carried out and information are processed and filed;
Local display interface: user-friendly operation interface and status display interface are provided.
The workflow of described special end comprises:
Optical system drives: the operation-interface that access and control optical system are provided;
Mechanical system drives: the operation-interface that access and control mechanical system are provided;
Machine vision algorithms library: the algorithms library that according to part and defect parameters, optical system photographic images is carried out defect estimation;
Remote control command processing: the remote command that receives and process Centralized Monitoring end;
Local data is processed and statistics: the significant data that defects detection real-time system is carried out and information are processed and filed;
Local display interface: user-friendly operation interface and status display interface are provided.
Described Centralized Monitoring end is mainly realized by following manner: database mode realizes the filing of historical data; Graphic display mode is realized remote monitoring.
System for the identification of industrial processes part automatic defect provided by the present invention, be applied to part manufacture field, identification by robotization and judge whether defectiveness of part, complete the automatic screening of part production line, thereby can reduce the manual intervention of part production line, improve the quality of part lot and reduce costs.Meanwhile, can by after the real time data of systems inspection and historical information general analyzes for enterprise diagnosis defect cause is offered help.System of the present invention can meet: undetected (defective part is mistaken as qualified part) rate is 0%; False retrieval (qualified part are mistaken as wrong part) rate is less than 10%; Piece test speed is higher than manual detection speed more than 5 times.
Brief description of the drawings
Fig. 1 is system architecture composition frame chart provided by the present invention;
Fig. 2 is general end workflow diagram in Fig. 1;
Fig. 3 is the basic framework figure of the conventional data processing controls end of Fig. 1.
Embodiment
Technical solution of the present invention is further described in detail in conjunction with Figure of description by specific embodiment below.
Shown in Fig. 1, industrial processes part automatic defect recognition system provided by the present invention, mainly comprises:
Conventional data processing controls end: this part is not for specific part.It is controlled the optical system of general collection terminal and carries out part image scene data capture, then for example, by some general defects of machine vision and image processing algorithm identification part: size, weight, thickness etc.The algorithm of general collection terminal has the universality of part, and it can receive the typing of general parameter, for example: part 3D drawing information, then adjustment algorithm parameter automatically.
General collection terminal: this part is not for specific part.It is mainly used in gathering the part field data for conventional data processing controls end.It is made up of some general parameters or relevant optical system and the mechanical system of algorithm.Wherein:
Optical system: for illumination optical and the image capturing system of particular procedure algorithm.
Mechanical system: for the mechanical system of special parameter.Can assist part transmission, the work such as calibration and screening.
Exclusive data processing controls end: this part is for specific part.Adopt relevant machine vision and the image processing algorithm of part morphological parameters to carry out the identification of part defect.
Special collection terminal: this part is for specific part.It is mainly used in gathering the part field data for exclusive data processing controls end.It is made up of the specific optical system of part defect and mechanical system.Wherein
Optical system: for illumination optical and the image capturing system of specific part and part defect instruction.
Mechanical system: for the mechanical system of specific part and part defect design.Can assist part transmission, the work such as calibration and screening.
Centralized Monitoring end: the deal with data of multiple universal or special data processing and control ends is carried out to Macro or mass analysis, and provide valuable data message to carry out decision-making for enterprise.
General end
General end comprises above-mentioned general collection terminal and conventional data processing controls end.In way of realization, general collection terminal uses the optical photographing system of allotment and the mechanical system of customization; Conventional data processing controls end is realized by the PC that connects Ethernet.
Optical system and the mechanical system of general end have versatility, can process different parts.The working-flow of general end as shown in Figure 2.
The basic framework of conventional data processing controls end is as shown in Figure 3:
It mainly comprises:
● optical system drives: the operation-interface that access and control optical system are provided;
● mechanical system drives: the operation-interface that access and control mechanical system are provided;
● Parameters of The Parts typing: the module that receives part and the typing of defect general parameter;
● machine vision algorithms library: the algorithms library that according to part and defect parameters, optical system photographic images is carried out defect estimation;
● remote control command processing: the remote command that receives and process Centralized Monitoring end;
● local data is processed and statistics: the significant data that defects detection real-time system is carried out and information are processed and filed,
● local display interface: user-friendly operation interface and status display interface are provided.
Special end
Special end comprises special collection terminal and exclusive data processing controls end.In way of realization, special collection terminal uses the optical photographing system of allotment and the mechanical system of customization; Exclusive data processing controls end is realized by the PC that connects Ethernet.
The difference of special end and general end is only:
For optical system and the mechanical system of specific part and specific defect structure;
The image of realizing for specific part is processed and machine vision algorithm.Algorithm does not have the constraint of versatility;
Because only for specific component and specified defect, do not need to input Parameters of The Parts.
Centralized Monitoring end
Centralized control end is also realized by the PC that connects Ethernet.Mainly realize by following manner:
Database mode realizes the filing of historical data; Graphic display mode is realized remote monitoring.
System of the present invention can be satisfied function in table 1:
Table 1
Claims (9)
1. an industrial processes part automatic defect recognition system, comprise general end, special end and Centralized Monitoring end, described general end collection and control the general defective data of nonspecific part, the on-the-spot defective data of described special end collection and control specific component, described Centralized Monitoring end gathers and analyzes the data of general end and special end, it is characterized in that, described general end comprises some general parameters or relevant optical system and the mechanical system of algorithm, general end optical system and mechanical system have versatility, can process different parts, general end optical system is illumination optical and the image capturing system for particular procedure algorithm, general end mechanical system is the mechanical system for special parameter, described special end comprises the specific optical system of part defect and mechanical system, special end optical system is illumination optical and the image capturing system for specific part and part defect instruction, and special end mechanical system is the mechanical system for specific part and part defect design.
2. industrial processes part automatic defect recognition system according to claim 1, it is characterized in that, described general end comprises general collection terminal and conventional data processing controls end, described general collection terminal is for gathering the part field data for conventional data processing controls end, described in the control of described conventional data processing controls end, the optical system of general collection terminal is carried out part image scene data capture, then by some general defects of machine vision and image processing algorithm identification part.
3. industrial processes part automatic defect recognition system according to claim 2, is characterized in that, described conventional data processing controls end is realized by the PC that connects Ethernet.
4. industrial processes part automatic defect recognition system according to claim 1, it is characterized in that, described special end comprises special collection terminal and exclusive data processing controls end, described special collection terminal is for gathering the part field data for exclusive data processing controls end, and described exclusive data processing controls end adopts relevant machine vision and the image processing algorithm of part morphological parameters to carry out the identification of part defect.
5. industrial processes part automatic defect recognition system according to claim 4, is characterized in that, described exclusive data processing controls end is realized by the PC that connects Ethernet.
6. industrial processes part automatic defect recognition system according to claim 1, is characterized in that, described centralized control end is also realized by the PC that connects Ethernet.
7. industrial processes part automatic defect recognition system according to claim 2, is characterized in that, the workflow of described general end comprises:
Optical system drives: the operation-interface that access and control optical system are provided;
Mechanical system drives: the operation-interface that access and control mechanical system are provided;
Parameters of The Parts typing: the module that receives part and the typing of defect general parameter;
Machine vision algorithms library: the algorithms library that according to part and defect parameters, optical system photographic images is carried out defect estimation;
Remote control command processing: the remote command that receives and process Centralized Monitoring end;
Local data is processed and statistics: the significant data that defects detection real-time system is carried out and information are processed and filed;
Local display interface: user-friendly operation interface and status display interface are provided.
8. industrial processes part automatic defect recognition system according to claim 4, is characterized in that, the workflow of described special end comprises:
Optical system drives: the operation-interface that access and control optical system are provided;
Mechanical system drives: the operation-interface that access and control mechanical system are provided;
Machine vision algorithms library: the algorithms library that according to part and defect parameters, optical system photographic images is carried out defect estimation;
Remote control command processing: the remote command that receives and process Centralized Monitoring end;
Local data is processed and statistics: the significant data that defects detection real-time system is carried out and information are processed and filed;
Local display interface: user-friendly operation interface and status display interface are provided.
9. industrial processes part automatic defect recognition system according to claim 1, is characterized in that, described Centralized Monitoring end is mainly realized by following manner: database mode realizes the filing of historical data; Graphic display mode is realized remote monitoring.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107024478A (en) * | 2017-04-05 | 2017-08-08 | 合肥德仁智能科技有限公司 | A kind of part processes automatic defect identifying system |
| CN110866894A (en) * | 2019-10-08 | 2020-03-06 | 南京航空航天大学 | A cross-granularity sheet metal recognition system and method based on machine vision technology |
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| US5699447A (en) * | 1990-11-16 | 1997-12-16 | Orbot Instruments Ltd. | Two-phase optical inspection method and apparatus for defect detection |
| CN2791598Y (en) * | 2005-04-30 | 2006-06-28 | 西安工业学院 | Micro abnormal-shape pipece automatic detecting device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107024478A (en) * | 2017-04-05 | 2017-08-08 | 合肥德仁智能科技有限公司 | A kind of part processes automatic defect identifying system |
| CN110866894A (en) * | 2019-10-08 | 2020-03-06 | 南京航空航天大学 | A cross-granularity sheet metal recognition system and method based on machine vision technology |
| CN110866894B (en) * | 2019-10-08 | 2023-05-26 | 南京航空航天大学 | Cross-granularity sheet metal part identification system and method based on machine vision technology |
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