CN105478364A - Defective product detection and classification method and system - Google Patents
Defective product detection and classification method and system Download PDFInfo
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- CN105478364A CN105478364A CN201510808157.1A CN201510808157A CN105478364A CN 105478364 A CN105478364 A CN 105478364A CN 201510808157 A CN201510808157 A CN 201510808157A CN 105478364 A CN105478364 A CN 105478364A
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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
The invention discloses a defective product detection and classification method and system. The method includes the steps of information import and processing, wherein according to the product type parameters, product information is imported, to-be-detected product parameters are converted into measurement files required by a three-coordinate measuring instrument, and the measurement files are sent to the three-coordinate measuring instrument; product detection, wherein a batch processing program is inserted in a three-coordinate measuring program and a signal is sent to start the three-coordinate measuring instrument to conduct a test; comparison, wherein data measured through the three-coordinate measuring instrument are received for judgment and RFID labeling equipment is controlled according to the judgment result; and production classification, wherein a detection signal of an RFID scanner is received and a working signal is sent to control a discharging device to arrange qualified products and disqualified products in a classified manner. By the adoption of the method and system, the shape and size of the products are automatically detected for classification, the automation degree is high, the influences caused by human factors on the detection and classification processes are avoided, detection and classification accuracy is guaranteed, the labor cost is reduced for an enterprise, and detection efficiency is improved.
Description
Technical field
The present invention relates to a kind of detection sorting technique and system, especially a kind of defective products detects sorting technique and system.
Background technology
Product checking is requisite step in all kinds of manufacturing and processing enterprises production process, and it refers to and checks whether various raw material, semi-finished product, finished product meet the course of work of specific technical standard, specification by instrument, instrument or other analytical method.
In the testing process of various product, the shape and size inspection of product is all a very important Testing index, shape of product and size detection can be carried out accurately and automation equipment and the system of carrying out product classification owing to lacking, thus make existing technique when carrying out shape of product and dimension control, usually need manually to adopt that the survey tool of specifying manually detects the profile of the product on streamline, whether size meets the requirements, after having inspected, then by manually by satisfactory product and undesirable product separated.
The requirement of manual detection to staff is higher, if tester's method of testing is inaccurate or survey tool improper use or Check and Inspection not enough or the unintelligible standard value that should reach, all may cause various metrical error, thus make qualified products be identified as substandard product or make substandard product be identified as certified products, also just cause the accuracy of testing result, validity reduces greatly.
On the other hand, once testing staff is careless and inadvertent, undetected situation very likely occurs, the generation of undetected situation will affect adequacy and the validity of detection further.
Further, due to also need by artificial again by certified products and defective work separated, once staff is careless and inadvertent, place mistake, or be undetectedly directly positioned over different rest areas afterwards, the impact of artifact will have been superposed further, add detection and the accuracy of classification results, the further reduction of validity possibility.
Moreover, manual testing, product assortment not only labour intensity are large, manual testing, classification product often also need to spend the regular hour simultaneously, therefore inspection and classification effectiveness also lower, and to improve inspection, sort out efficiency just must increase experienced inspection, classification personnel, this also will increase enterprise human cost.
Finally, because the shape of various product, dimensional parameters often exist larger difference, therefore need to detect with different detection tools, therefore for the various enterprise of product category, the utensil cost of required cost also can increase, and also rarely has equipment, the system of a kind of highly versatile of report, shape of product applied widely, the classification of size Aulomatizeted Detect on the market.
Summary of the invention
Object of the present invention is exactly to solve the above-mentioned problems in the prior art, provides a kind of defective products making full use of three-dimensional measuring technology and RFID technique to detect sorting technique and system.
Object of the present invention is achieved through the following technical solutions:
A kind of defective products detects sorting technique, comprises the steps:
S1, information steps for importing: the product type parameter receiving user's input, derives product corresponding to this product parameter to be measured, canonical parameter, standard error value from system;
S2, information handling step: parameter to be detected for described product is converted into the measurement file required for three-coordinates measuring machine according to algorithm decided at the higher level but not officially announced, and sends to described three-coordinates measuring machine;
S3, Product checking step: insert batch program by instruction in three-dimensional coordinates measurement program, subsequent signal starts the test of described three-coordinates measuring machine and detects each product to be measured;
S4, comparison step: receive the data that described three-coordinates measuring machine records, and the canonical parameter of the data recorded and product being compared, judges comparison result whether within the scope of standard error value, and signals to RFID labeling device according to judged result;
S5, product classification step: the detection signal receiving RFID scanner, and send working signal control blanking device by certified products and defective work sorting placement according to detection signal.
Preferably, described a kind of defective products detects sorting technique, wherein: described product parameter to be measured is the real space coordinate information (X, Y, Z) of some product parameters characteristic points that product to be measured marks in 3D map file.
Preferably, described a kind of defective products detects sorting technique, wherein when comparison result is outside standard error value scope, is then sent in the control signal detecting attaching rfid tag on incongruent product to described RFID labeling device; When comparison result is within the scope of standard error value, then do not transmit control signal to RFID labeling device.
Preferably, described a kind of defective products detects sorting technique, wherein when receiving RFID scanner and confirming product there is the signal of RFID label tag, then sends to described blanking device and the product of correspondence is taken off from streamline the control signal putting into NonConforming Parts Area; When receiving the signal that RFID scanner confirms without RFID label tag on product, then send idle control signal to described blanking device.
Preferably, described a kind of defective products detects sorting technique, wherein also comprises result comparison step, records the control signal that the judged result of each S4 step and S5 step send, and the data of record is contrasted, judge whether halt system according to comparing result.
A kind of defective products detects categorizing system, and it comprises
Information imports module, for receiving the product type parameter of user's input, derives product corresponding to described product parameter to be measured, canonical parameter, standard error value from system;
Message processing module, for parameter to be measured for described product being converted into according to algorithm decided at the higher level but not officially announced the measurement file of three-coordinates measuring machine, and sends to described three-coordinates measuring machine;
Product detection module, for inserting batch program by instruction in three-dimensional coordinates measurement program, subsequent signal starts the test of described three-coordinates measuring machine to be tested each product to be measured;
Comparing module, for receiving the data that described three-coordinates measuring machine records, and compares the canonical parameter of the data recorded and product, judges comparison result whether within the scope of standard error value, and signals to RFID labeling device according to judged result; And
Product classification module, for receiving the detection signal of RFID scanner, and sends working signal control blanking device by certified products and defective work sorting placement according to detection signal.
Preferably, described a kind of defective products detects categorizing system, wherein: also comprise result comparing module, and the control signal that judged result and product classification module for recording each comparing module send, and the data of record are contrasted, judge whether halt system according to comparing result.
Preferably, described a kind of defective products detects categorizing system, wherein: also store product type parameter, product parameter to be measured in described Comparative result module, canonical parameter, standard error value.
The advantage of technical solution of the present invention is mainly reflected in:
1. deft design of the present invention, a set of method and system realizing shape of product, size Aulomatizeted Detect and classification are provided, automaticity is high, solve the problem that prior art manual detection classification effectiveness is low, detection classification accuracy is looked into, avoid human factor to the impact detecting assorting process, ensure that the precision detecting classification, reduce business manpower cost, improve detection efficiency.
2. detection system of the present invention and method highly versatile, namely the detection of all kinds shape of product and size can be realized by the key coordinate point parameter of the various product of prior choose reasonable, do not need to buy extra equipment, only need can be realized by programming, thus substantially increase the scope of application of native system and method.
3. method of the present invention is by the Data Comparison of front and back process, ensure that the unification of detection and classify data, thus can realize the front and back confirmation of whole process, guarantees the accuracy detecting and sort out, does not occur undetected situation; Meanwhile, the statistics of various data store also can for the later stage carry out product percent of pass, percent defective, day detection limit etc. further data analysis effective support is provided.
Accompanying drawing explanation
Fig. 1 is the structural representation of apparatus of the present invention;
Fig. 2 is the process schematic of the inventive method.
Detailed description of the invention
Object of the present invention, advantage and disadvantage, by for illustration and explanation for the non-limitative illustration passing through preferred embodiment below.These embodiments are only the prominent examples of application technical solution of the present invention, allly take equivalent replacement or equivalent transformation and the technical scheme that formed, all drop within the scope of protection of present invention.
Present invention is disclosed a kind of defective products and detect sorter, as shown in Figure 1, comprise a control device, described control device comprises control panel and digital serial port, various parameter can be inputted by this control panel, and described control device is connected respectively to three-coordinates measuring machine, RFID labeling device, RFID scanner and blanking device, described control device controls the testing process of described three-coordinates measuring machine and controls the work of described RFID labeling device according to the detection signal of described three-coordinates measuring machine, described control device also controls described blanking device work according to the signal of described RFID surface sweeping view.
In order to realize detecting and above-mentioned control procedure, be provided with defective products in described control device and detect categorizing system, described defective products detects categorizing system and comprises: information imports module 1, message processing module 2, product detection module 3, comparing module 4 and product classification module 5.
Described information imports module 1, for receiving the product type parameter of user's input, derives product corresponding to described product parameter to be measured, canonical parameter (i.e. the theoretical space coordinate value of product parameters characteristic point), standard error value from system; Described product parameter to be measured is the spatial coordinated information (X of some product parameters characteristic points that product to be measured marks in 3D map file, Y, Z), concrete, the space coordinates dot information of described some parameter attribute points is shape, size characteristic according to various product, in UG software, uses secondary development software, the 3D map file of product marks, subsequently by storing in data serial port transmission to system.
Described message processing module 2, for the parameter to be detected of product being converted into according to algorithm decided at the higher level but not officially announced the measurement file of three-coordinates measuring machine, then sends to described three-coordinates measuring machine by LAN by described measurement file.
Described product detection module 3, for inserting batch program by instruction in three-dimensional coordinates measurement program, subsequent signal starts the real space coordinate value of the product parameters characteristic point of each product to be measured of described three-coordinates measuring machine test.
Comparing module 4, for receiving the real space coordinate value of the product parameters characteristic point that three-coordinates measuring machine records, and the canonical parameter of this value and product is compared, judge comparison result whether within the scope of standard error value, and signal to RFID labeling device according to judged result; And
Product classification module 5, for receiving the detection signal of RFID scanner, and sends working signal control blanking device by certified products and defective work sorting placement according to detection signal.
Described defective products detects categorizing system, also comprise result comparing module 6, for recording the working signal of the described blanking device blanking of control that each judged result of the described comparing module 4 of statistics and described product classification module 5 send at every turn, and two groups of data of record are contrasted, judge whether two groups of data mate, before and after confirming, whether process is consistent, and records result;
Further, described Comparative result module 6, also as the storage center of whole system, wherein also stores various product type parameter, product parameter to be measured, the data such as canonical parameter, standard error value.Data in described Comparative result module 6 directly can be shown by the control panel of described control device, also can derive to be used as him by data-interface.
Apply defective products of the present invention detect categorizing system carry out product shape and size measure and product classification time, as shown in Figure 2, its detailed process is as follows:
S1, information steps for importing: described information importing module 1 receives the product type parameter that user is inputted by described control panel, and from described result comparing module 6, derive the product parameter to be measured (even the real space coordinate information of dryed product parameter attribute point) that this product of having stored is corresponding, canonical parameter, standard error value, and parameter to be detected for described product is sent to described message processing module 2, described canonical parameter and standard error value are sent to described comparing module 4 simultaneously.
S2, information handling step: after described message processing module 2 receives described product parameter to be measured, to be converted into the measurement file required for three-coordinates measuring machine according to algorithm decided at the higher level but not officially announced, and to send to described three-coordinates measuring machine by parameter to be detected for described product.
S3, Product checking step: described three-coordinates measuring machine receives described measurement file, simultaneously described product detection module 3 is sent instructions by LAN insert batch program in the three-dimensional coordinates measurement program of described three-coordinates measuring machine, subsequent signal starts the real space coordinate information (X, Y, Z) that the product parameters characteristic point corresponding to each product to be measured tested successively by described three-coordinates measuring machine, and the real space coordinate information of measured product parameters characteristic point is sent to described comparing module 4 by LAN.
S4, comparison step: described comparing module 4 receives real space coordinate information and the described canonical parameter (i.e. the theoretical space coordinate information of described product parameters characteristic point) of the product parameters characteristic point that described three-coordinates measuring machine records, standard error value, subsequently the spatial coordinated information of the product parameters characteristic point of the correspondence recorded is compared with the canonical parameter (spatial coordinated information of namely corresponding product parameters characteristic point) of product, and judge comparison result whether within the scope of standard error value, after the judgement of described comparing module 4, namely each shape of product is completed, the automatic testing of size.
Then, RFID labeling device is signaled to according to above-mentioned judged result; Concrete, when comparison result is when standard error value scope is outer, then described comparing module 4 is sent in the control signal detecting attaching rfid tag on incongruent product to described RFID labeling device; When comparison result is within the scope of standard error value, then described comparing module 4 does not transmit control signal to described RFID labeling device.
Product through detecting moves on along with streamline, and when entering into the surveyed area of described RFID scanner, described RFID scanner scans each product one by one, and gives described product classification module 5 by sweep signal real-time Transmission.
S5, product classification step: described product classification module 5 receives the detection signal of described RFID scanner, and send working signal control blanking device by certified products and defective work sorting placement according to detection signal.
Concrete, when described product classification module 5 receive described RFID scanner confirm product there is the signal of RFID label tag time, then described product classification module 5 sends to described blanking device and the product of correspondence is taken off from streamline the control signal putting into NonConforming Parts Area; When described product classification module 5 receives the signal without RFID label tag on RFID scanner confirmation product, then send idle control signal to described blanking device, allow product follow streamline and step to qualified products district.
This completes the automatic clustering of certified products and defective work.
Further in result comparison step, described result comparing module 6 real-time statistics, store the result of each step, include but not limited to record the control signal that the judged result of each S4 step and S5 step send, namely described result comparing module 6 records statistics and stores the quantity detecting defective work and the certified products drawn, record described product classification module 5 simultaneously and send the number of signals not working and work to described blanking device, and several groups of data of record are contrasted, judge whether two groups of data mate, and store.
When the defective work quantity recorded is consistent with the number of signals of the work of transmission, then shows that all defective works are all included into NonConforming Parts Area, do not occur error; Otherwise, if when two data are inconsistent, then show there is product assortment mistake, therefore, it is possible to corroborated each other by recorded data.
Further, be defective when described result comparing module 6 records certain Product checking, but when described product classification module 5 sends idle control signal to described blanking device, then described result comparing module stops described whole system, to process in time.
The present invention still has numerous embodiments, all employing equivalents or equivalent transformation and all technical schemes formed, and all drops within protection scope of the present invention.
Claims (8)
1. defective products detects a sorting technique, it is characterized in that: comprise the steps:
S1, information steps for importing: the product type parameter receiving user's input, derives product corresponding to this product parameter to be measured, canonical parameter, standard error value from system;
S2, information handling step: parameter to be detected for described product is converted into the measurement file required for three-coordinates measuring machine according to algorithm decided at the higher level but not officially announced, and sends to described three-coordinates measuring machine;
S3, Product checking step: insert batch program by instruction in three-dimensional coordinates measurement program, subsequent signal starts the test of described three-coordinates measuring machine and detects each product to be measured;
S4, comparison step: receive the data that described three-coordinates measuring machine records, and the canonical parameter of the data recorded and product being compared, judges comparison result whether within the scope of standard error value, and signals to RFID labeling device according to judged result;
S5, product classification step: the detection signal receiving RFID scanner, and send working signal control blanking device by certified products and defective work sorting placement according to detection signal.
2. a kind of defective products according to claim 1 detects sorting technique, it is characterized in that: described product parameter to be measured is the real space coordinate information (X, Y, Z) of some product parameters characteristic points that product to be measured marks in 3D map file.
3. a kind of defective products according to claim 1 and 2 detects sorting technique, it is characterized in that: when comparison result is outside standard error value scope, be then sent in the control signal detecting attaching rfid tag on incongruent product to described RFID labeling device; When comparison result is within the scope of standard error value, then do not transmit control signal to RFID labeling device.
4. a kind of defective products according to claim 3 detects sorting technique, it is characterized in that: when receiving RFID scanner and confirming product there is the signal of RFID label tag, then send to described blanking device and the product of correspondence is taken off from streamline the control signal putting into NonConforming Parts Area; When receiving the signal that RFID scanner confirms without RFID label tag on product, then send idle control signal to described blanking device.
5. a kind of defective products according to claim 3 detects sorting technique, it is characterized in that: also comprise result comparison step, record the control signal that the judged result of each S4 step and S5 step send, and the data of record are contrasted, judge whether halt system according to comparing result.
6. defective products detects a categorizing system, it is characterized in that: comprise
Information imports module (1), for receiving the product type parameter of user's input, derives product corresponding to described product parameter to be measured, canonical parameter, standard error value from system;
Message processing module (2), for parameter to be measured for described product being converted into according to algorithm decided at the higher level but not officially announced the measurement file of three-coordinates measuring machine, and sends to described three-coordinates measuring machine;
Product detection module (3), for inserting batch program by instruction in three-dimensional coordinates measurement program, subsequent signal starts the test of described three-coordinates measuring machine to be tested each product to be measured;
Comparing module (4), for receiving the data that described three-coordinates measuring machine records, and compares the canonical parameter of the data recorded and product, judges comparison result whether within the scope of standard error value, and signals to RFID labeling device according to judged result; And
Product classification module (5), for receiving the detection signal of RFID scanner, and sends working signal control blanking device by certified products and defective work sorting placement according to detection signal.
7. a kind of defective products according to claim 6 detects categorizing system, it is characterized in that: also comprise result comparing module (6), for the control signal that the judged result and product classification module (5) that record each comparing module (4) send, and the data of record are contrasted, judge whether halt system according to comparing result.
8. a kind of defective products according to claim 6 detects categorizing system, it is characterized in that: also store product type parameter, product parameter to be measured in described Comparative result module (6), canonical parameter, standard error value.
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