CN105478364B - A kind of defective products detection classification method and system - Google Patents
A kind of defective products detection classification method and system Download PDFInfo
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- CN105478364B CN105478364B CN201510808157.1A CN201510808157A CN105478364B CN 105478364 B CN105478364 B CN 105478364B CN 201510808157 A CN201510808157 A CN 201510808157A CN 105478364 B CN105478364 B CN 105478364B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/04—Sorting according to size
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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Abstract
Present invention discloses a kind of defective products detection classification method and systems, including information importing and processing step: according to product type parameter, it imports product information and converts product parameter to be measured to required for three-coordinates measuring machine and measure file, be sent to three-coordinates measuring machine；Product testing step: being inserted into batch program in three-dimensional coordinates measurement program, and the starting three-coordinates measuring machine that signals is tested；It compares step: receiving the data that three-coordinates measuring machine measures, judged, and RFID labeling device is controlled according to judging result；Product classification step: receiving the detection signal of RFID scanner, and sends working signal control blanking device and classify qualified product and rejected product.The present invention provides a set of realization shape of product, the method and system of size automatic detection and classification, high degree of automation avoids influence of the human factor to detection assorting process, ensure that the precision of detection classification, business manpower cost is reduced, detection efficiency is improved.
Description
Technical field
The present invention relates to a kind of detection classification method and system, especially a kind of defective products detection classification method and system.
Background technique
Product testing is step essential in all kinds of manufacturing and processing enterprise's production processes, it refers to tool, instrument
Or other analysis methods check various raw material, semi-finished product, finished product whether meet specific technical standard, specification it is worked
Journey.
In the detection process of various products, the shape and size inspection of product is all very important a detection and refers to
Mark, due to lacking the automation equipment and system that can accurately carry out shape of product and size detection and carry out product classification,
So that prior art is when carrying out shape of product and dimension control, it is often necessary to artificial manual using specified measuring tool
Whether shape, the size of the product on detection assembly line meet the requirements, after having inspected, then by manually by satisfactory product
And undesirable product is separated.
Artificial detection is to the more demanding of staff, if tester's test method inaccuracy or measuring tool use
The insufficient or unintelligible standard value that should reach is examined in improper or detection, all may cause various detection errors, to make qualified production
Product are identified as substandard product or substandard product are made to be identified as qualified product, also result in the accuracy of testing result, have
Effect property substantially reduces.
On the other hand, once testing staff is careless and inadvertent, it is most likely that missing inspection situation occurs, it will be into the occurrence of missing inspection
One step influences the adequacy and validity of detection.
Further, due to also needing by manually again that qualified product and rejected product is separated, once staff neglects
General idea is placed directly in different rest areas after placing mistake or missing inspection, will further be superimposed the shadow of artifact
It rings, increases accuracy, a possibility that the further decreasing of validity of detection and classification results.
Furthermore manual testing, product assortment not only large labor intensity, while manual testing, sorting out a product often
It needs to take some time, therefore examines and classification effectiveness is relatively low, and to improve inspection, sort out efficiency and must just increase and have
Personnel are sorted out in the inspection of experience, this will also increase the human cost of enterprise.
Finally, due to often there is larger difference in the shape of various products, dimensional parameters, it is therefore desirable to different detections
Jig is detected, therefore for enterprise numerous for product category, the utensil cost of required cost also be will increase, and market
On be also rarely reported equipment, the system of a kind of shape of product versatile, applied widely, size automatic detection classification.
Summary of the invention
The object of the invention is to provide one kind and make full use of three seats to solve the above-mentioned problems in the prior art
Mark the defective products detection classification method and system of measuring technology and RFID technique.
The purpose of the present invention is achieved through the following technical solutions:
A kind of defective products detection classification method, includes the following steps:
Information steps for importing: S1 receives the product type parameter of user's input, the corresponding production of the product is exported from system
Product parameter to be measured, standard parameter, standard error value；
Information handling step: S2 converts three-coordinates measuring machine institute for product parameter to be detected according to default algorithm
The measurement file needed, and it is sent to the three-coordinates measuring machine；
Product testing step: S3 is inserted into batch program, subsequent signal starting by instruction in three-dimensional coordinates measurement program
The three-coordinates measuring machine test detects each product to be measured；
S4 compares step: receiving the data that the three-coordinates measuring machine measures, and by the standard of the data measured and product
Parameter is compared, judge comparison result whether within the scope of standard error value, and according to judging result signal to RFID patch
Marking device；
Product classification step: S5 receives the detection signal of RFID scanner, and sends working signal control according to detection signal
Blanking device processed classifies qualified product and rejected product.
Preferably, a kind of defective products detects classification method, in which: the product parameter to be measured is product to be measured
The real space coordinate information (X, Y, Z) of several product parameters characteristic points marked in 3D map file.
Preferably, a kind of defective products detects classification method, wherein when comparison result is outside standard error value range,
The control signal for detecting attaching rfid tag on incongruent product is then sent in the RFID labeling device；Work as comparison result
Within the scope of standard error value, does not then send control signal and give RFID labeling device.
Preferably, a kind of defective products detects classification method, wherein when receiving on RFID scanner confirmation product
When having the signal of RFID label tag, then corresponding product is removed to blanking device transmission from assembly line and be put into rejected product
The control signal in area；When receiving the signal on RFID scanner confirmation product without RFID label tag, then to the blanking device
Send idle control signal.
Preferably, a kind of defective products detects classification method, wherein further including that result compares step, records each S4
The control signal that the judging result and S5 step of step issue, and the data of record are compared, judged according to comparing result
Whether halt system.
A kind of defective products detection categorizing system comprising
It is corresponding to export the product for receiving the product type parameter of user's input from system for information import modul
Product parameter to be measured, standard parameter, standard error value；
Message processing module, needed for converting three-coordinates measuring machine for product parameter to be measured according to default algorithm
The measurement file wanted, and it is sent to the three-coordinates measuring machine；
Product detection module, for being inserted into batch program in three-dimensional coordinates measurement program by instruction, subsequent signal is opened
The three-coordinates measuring machine test is moved to test each product to be measured；
Comparison module, the data measured for receiving the three-coordinates measuring machine, and by the mark of the data measured and product
Quasi- parameter is compared, and judges that comparison result whether within the scope of standard error value, and signals to RFID according to judging result
Labeling device；And
Product classification module sends working signal for receiving the detection signal of RFID scanner, and according to detection signal
Control blanking device classifies qualified product and rejected product.
Preferably, a kind of defective products detects categorizing system, in which: further includes result comparison module, for recording
The control signal that the judging result and product classification module of each comparison module issue, and the data of record are compared, root
Judge whether halt system according to comparing result.
Preferably, a kind of defective products detects categorizing system, in which: is also stored with production in the Comparative result module
Category shape parameter, product parameter to be measured, standard parameter, standard error value.
The advantages of technical solution of the present invention, is mainly reflected in:
1. deft design of the present invention provides a set of realization shape of product, size automatic detection and the method for classification and is
System, high degree of automation solve the problems, such as that prior art artificial detection classification effectiveness is low, detects classification accuracy and look into, avoid
Influence of the human factor to detection assorting process, ensure that the precision of detection classification, reduces business manpower cost, improve
Detection efficiency.
2. detection system and method for the invention is versatile, by the key coordinate point for reasonably selecting various products in advance
Parameter can realize the detection of various types shape of product and size, not need the equipment outside purchase volume, need to only pass through programming
It can be realized, to substantially increase the scope of application of system and method.
3. method of the invention passes through the data comparison of front and back process, it ensure that detection and sort out the unification of data, thus
The front and back confirmation of whole process may be implemented, it is ensured that the case where missing inspection do not occur in detection and the accuracy sorted out；Meanwhile it is various
The statistics storage of data can also carry out the further data analysis such as product qualification rate, rejection rate, day detection limit for the later period and mention
For effectively supporting.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of apparatus of the present invention；
Fig. 2 is the process schematic of the method for the present invention.
Specific embodiment
The purpose of the present invention, advantage and feature, by by the non-limitative illustration of preferred embodiment below carry out diagram and
It explains.These embodiments are only the prominent examples using technical solution of the present invention, it is all take equivalent replacement or equivalent transformation and
The technical solution of formation, all falls within the scope of protection of present invention.
Present invention discloses a kind of defective products to detect sorter, as shown in Fig. 1, including a control device, the control
Device processed includes control panel and digital serial port, can input various parameters, and the control device point by the control panel
Three-coordinates measuring machine, RFID labeling device, RFID scanner and blanking device are not connected to, described in the control device control
The detection process of three-coordinates measuring machine simultaneously controls the RFID labeling device work according to the detection signal of the three-coordinates measuring machine
Make, the control device controls the blanking device also according to the signal that the RFID surface sweeping is discussed and works.
In order to realize detection and above-mentioned control process, defective products detection categorizing system, institute are provided in the control device
Stating defective products detection categorizing system includes: information import modul 1, message processing module 2, product detection module 3, comparison module 4
And product classification module 5.
The information import modul 1 exports the product for receiving the product type parameter of user's input from system
Corresponding product parameter to be measured, standard parameter (i.e. the theoretical space coordinate value of product parameters characteristic point), standard error value；It is described
Product parameter to be measured be several product parameters characteristic points that product to be measured marks in 3D map file spatial coordinated information (X,
Y, Z), specifically, the space coordinate point information of several parameter attribute points is shape according to various products, size characteristic,
It in UG software, using secondary development software, is marked in the 3D map file of product, then by data serial port transmission to being
It is stored in system.
The message processing module 2, for converting three-dimensional coordinates measurement for the parameter to be detected of product according to default algorithm
File is measured required for instrument, and the measurement file is then sent to by the three-coordinates measuring machine by local area network.
The product detection module 3 for being inserted into batch program in three-dimensional coordinates measurement program by instruction, and transmits
Number starting three-coordinates measuring machine tests the real space coordinate value of the product parameters characteristic point of each product to be measured.
Comparison module 4, for receiving the real space coordinate value for the product parameters characteristic point that three-coordinates measuring machine measures, and
The value is compared with the standard parameter of product, comparison result is judged whether within the scope of standard error value, and according to judgement
As a result RFID labeling device is signaled to；And
Product classification module 5 sends working signal for receiving the detection signal of RFID scanner, and according to detection signal
Control blanking device classifies qualified product and rejected product.
The defective products detects categorizing system, further includes result comparison module 6, counts the comparison module 4 for recording
The working signal for the control blanking device blanking that each judging result and the product classification module 5 issue every time,
And compare two groups of data of record, judge whether two groups of data match, whether confirmation front and back process is consistent, and records knot
Fruit；
Further, the Comparative result module 6 is also as the storage center of whole system, wherein being also stored with various products
Type parameter, product parameter to be measured, the data such as standard parameter, standard error value.Data in the Comparative result module 6 can be with
It is directly displayed, can also be exported by data-interface with used for other purposes by the control panel of the control device.
When carrying out shape and size measurement and the product classification of product using defective products detection categorizing system of the invention, such as
Shown in attached drawing 2, detailed process is as follows:
S1, information steps for importing: the information import modul 1 receives the product class that user is inputted by the control panel
Shape parameter, and corresponding product parameter to be measured (the i.e. several productions of the stored product are exported from the result comparison module 6
The real space coordinate information of product parameter attribute point), standard parameter, standard error value, and product parameter to be detected is sent out
The message processing module 2 is given, while the standard parameter and standard error value are sent to the comparison module 4.
S2, information handling step: after the message processing module 2 receives product parameter to be measured, according to default algorithm
It converts product parameter to be detected to required for three-coordinates measuring machine and measures file, and be sent to the three-dimensional coordinates measurement
Instrument.
S3, product testing step: the three-coordinates measuring machine receives the measurement file, while the product detection module
3 are sent instructions by local area network is inserted into batch program, subsequent signal in the three-dimensional coordinates measurement program of the three-coordinates measuring machine
Start the real space seat that the three-coordinates measuring machine successively tests product parameters characteristic point corresponding to each product to be measured
It marks information (X, Y, Z), and the real space coordinate information of measured product parameters characteristic point is sent to institute by local area network
State comparison module 4.
S4, compare step: the comparison module 4 receives the reality for the product parameters characteristic point that the three-coordinates measuring machine measures
Border spatial coordinated information and the standard parameter (the theoretical space coordinate information of the i.e. described product parameters characteristic point), standard error
Value, then by standard parameter (the i.e. corresponding production of the spatial coordinated information of the corresponding product parameters characteristic point measured and product
The spatial coordinated information of product parameter attribute point) it is compared, and judge that comparison result whether within the scope of standard error value, passes through
After the judgement of the comparison module 4, that is, complete the automatic detection work of each shape of product, size.
Then, RFID labeling device is signaled to according to above-mentioned judging result；Specifically, when comparison result is in standard error
When outside difference range, then the comparison module 4 is sent on the incongruent product of detection to the RFID labeling device and pastes
The control signal of RFID label tag；When comparison result is within the scope of standard error value, then the comparison module 4 does not send control letter
Number give the RFID labeling device.
Product after testing is moved on assembly line, when entering the detection zone of the RFID scanner,
The RFID scanner is one by one scanned each product, and gives scanning signal real-time Transmission to the product classification module 5.
S5, product classification step: the product classification module 5 receives the detection signal of the RFID scanner, and according to
Detection signal sends working signal control blanking device and classifies qualified product and rejected product.
Specifically, having RFID label tag when the product classification module 5 receives on the RFID scanner confirmation product
When signal, then corresponding product is removed from assembly line to blanking device transmission and is put into not by the product classification module 5
The control signal in qualified product area；When the product classification module 5 receives on RFID scanner confirmation product without RFID label tag
When signal, then idle control signal is sent to the blanking device, allow product that assembly line is followed to step to qualified products area.
This completes the automatic clusterings of qualified product and rejected product.
Further compared in step in result, 6 real-time statistics of result comparison module, each step of storage as a result,
The control signal that the judging result and S5 step for including but not limited to recording each S4 step issue, i.e., the described result comparison module
The quantity of rejected product and qualified product that 6 record statistics storage detections obtain, while the product classification module 5 is recorded to described
Blanking device sends the number of signals for not working and working, and several groups of data of record are compared, and judges that two groups of data are
No matching, and stored.
When the rejected product quantity of record is consistent with the number of signals of the work of transmission, then show all rejected products all
It is included into NonConforming Parts Area, error does not occur；, whereas if then show there is product assortment mistake when two data are inconsistent,
Therefore it can be corroborated each other by recorded data.
It further, is unqualified, but the product classification mould when the result comparison module 6 records some product testing
When block 5 sends idle control signal to the blanking device, then the result comparison module stops the whole system, with
Just it is handled in time.
Still there are many embodiment, all technical sides formed using equivalents or equivalent transformation by the present invention
Case is within the scope of the present invention.
Claims (5)
1. a kind of defective products detects classification method, characterized by the following steps:
Information steps for importing: S1 receives the product type parameter of user's input, the corresponding product of the product is exported from system and is waited for
Survey parameter, standard parameter, standard error value；
S2, information handling step: required for converting three-coordinates measuring machine for product parameter to be detected according to default algorithm
Measurement file, and be sent to the three-coordinates measuring machine；
S3, product testing step: being inserted into batch program by instructing in three-dimensional coordinates measurement program, described in subsequent signal starting
Three-coordinates measuring machine test detects each product to be measured；
S4 compares step: receiving the data that the three-coordinates measuring machine measures, and by the standard parameter of the data measured and product
Be compared, judge comparison result whether within the scope of standard error value, and according to judging result signal to RFID labeling set
It is standby；
Product classification step: S5 receives the detection signal of RFID scanner, and is sent under working signal control according to detection signal
Material device classifies qualified product and rejected product；
It further include that result compares step, the control signal that the judging result and S5 step for recording each S4 step issue, and will note
The data of record compare, and judge whether halt system according to comparing result.
2. a kind of defective products according to claim 1 detects classification method, it is characterised in that: the product parameter to be measured is
The real space coordinate information (X, Y, Z) for several product parameters characteristic points that product to be measured marks in 3D map file.
3. a kind of defective products according to claim 1 or 2 detects classification method, it is characterised in that: when comparison result is being marked
Outside quasi- ranges of error values, then the control for detecting attaching rfid tag on incongruent product is sent in the RFID labeling device
Signal；When comparison result is within the scope of standard error value, does not then send control signal and give RFID labeling device.
4. a kind of defective products according to claim 3 detects classification method, it is characterised in that: when receiving RFID scanner
When having the signal of RFID label tag on confirmation product, then corresponding product is removed to blanking device transmission from assembly line and put
Enter the control signal of NonConforming Parts Area；When receiving the signal on RFID scanner confirmation product without RFID label tag, then to institute
It states blanking device and sends idle control signal.
5. a kind of defective products detects categorizing system, it is characterised in that: including
It is corresponding to export the product for receiving the product type parameter of user's input from system for information import modul (1)
Product parameter to be measured, standard parameter, standard error value；
Message processing module (2), needed for converting three-coordinates measuring machine for product parameter to be measured according to default algorithm
The measurement file wanted, and it is sent to the three-coordinates measuring machine；
Product detection module (3), for being inserted into batch program, subsequent signal starting in three-dimensional coordinates measurement program by instruction
Each product to be measured is tested in the three-coordinates measuring machine test；
Comparison module (4), the data measured for receiving the three-coordinates measuring machine, and by the standard of the data measured and product
Parameter is compared, judge comparison result whether within the scope of standard error value, and according to judging result signal to RFID patch
Marking device；
And product classification module (5), work letter is sent for receiving the detection signal of RFID scanner, and according to detection signal
Number control blanking device qualified product and rejected product are classified；
It further include result comparison module (6), for recording the judging result and product classification module (5) of each comparison module (4)
The control signal of sending, and the data of record are compared, halt system, the result pair are judged whether according to comparing result
Than being also stored with product type parameter, product parameter to be measured, standard parameter, standard error value in module (6).
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| CN106076873A (en) * | 2016-06-07 | 2016-11-09 | 东莞市成铭胶粘剂有限公司 | Detection and material-distributing system automatically of based on packaging molding |
| CN108132074B (en) * | 2017-11-10 | 2024-08-09 | 长沙格力暖通制冷设备有限公司 | Entropy detection test timing device, method, storage medium and entropy detection test station |
| CN108831851B (en) * | 2018-06-26 | 2021-03-09 | 通威太阳能（成都）有限公司 | Sorting method for improving poor sorting efficiency of solar cell EL |
| CN111967230A (en) * | 2020-08-13 | 2020-11-20 | 上海威克迈龙川汽车发动机零件有限公司 | Measuring system for automatically inputting corresponding report after field measurement and application method thereof |
| CN112034796B (en) * | 2020-08-21 | 2022-05-10 | 山西迈杰模具制造有限公司 | Precise mold machining system based on Internet of things and working method thereof |
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