CN107192692A - Mistake proofing detection method for structural member assembly in automobile, machinery or household appliances manufacturing - Google Patents
Mistake proofing detection method for structural member assembly in automobile, machinery or household appliances manufacturing Download PDFInfo
- Publication number
- CN107192692A CN107192692A CN201710424780.6A CN201710424780A CN107192692A CN 107192692 A CN107192692 A CN 107192692A CN 201710424780 A CN201710424780 A CN 201710424780A CN 107192692 A CN107192692 A CN 107192692A
- Authority
- CN
- China
- Prior art keywords
- detection
- need
- structural member
- member assembly
- detected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/55—Specular reflectivity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8411—Application to online plant, process monitoring
Abstract
The invention discloses the mistake proofing detection method for structural member assembly in automobile, machinery or household appliances manufacturing, comprise the following steps：Step 1: being defined to the structural member assembly that need to be detected；Step 2: setting detection mould, the size of structural member assembly of the detection mould with that need to detect matches, by detection mould installion in detection device；Step 3: setting several optoelectronic switches in detection device；Step 4: setting several RGB digital optic fiber sensors in detection device；Step 5: setting several digital laser sensors in detection device；Step 6: being demarcated to RGB digital optic fiber sensors and digital laser sensor；Step 7: the structural member assembly that need to be detected is placed in detection mould, open detection equipment and industrial computer；Industrial computer is analyzed the data received, handled, and output testing result shows that the present invention can be widely used in the automatization test system in the fields such as automobile, motorcycle, machinery, household electrical appliances to display.
Description
Technical field：
The present invention relates to mistake proofing detection method, and in particular to for structural member assembly in automobile, machinery or household appliances manufacturing
Mistake proofing detection method.
Technical background：
The identification of products configuration is usually to lean on employee's manual identified in routine production, and the influence of the method human factor is greatly, no
It is stable, error-prone；Particularly the total finished product of certain structures part, is combined by various parts assembling, has ten several configurations, different
Configuration also difference in design of part, color, material.Because number of parts is more, color-match mode is more, in color or knot
Difference very little on structure, material, differentiation completely is extremely difficult in production by employee's visual inspection, easily causes production configuration and demand
, there is scrap products, the risk of delivery error in the phenomenons such as configuration is not inconsistent, part collocation error.
The content of the invention：
The technical problems to be solved by the invention are to provide a kind of total for structural member in automobile, machinery or household appliances manufacturing
Into mistake proofing detection method.
In order to solve the above problems, the technical scheme is that, for structural member in automobile, machinery or household appliances manufacturing
The mistake proofing detection method of assembly, it is characterised in that：Comprise the following steps：
Step 1: being defined to the structural member assembly that need to be detected
The structural member assembly that need to be detected is divided into some parts；The project that need to be detected to each Part Definition again；
Step 2: setting detection mould, the size of structural member assembly of the detection mould with that need to detect matches, will detected
Mould installion is in detection device；
Step 3: several optoelectronic switches are set in detection device, and the quantity of optoelectronic switch is with that need to detect part
Quantity is consistent, and corresponding with the part that need to be detected；
Step 4: several RGB digital optic fiber sensors are set in detection device, and RGB digital optic fiber sensors
Quantity is consistent with the number of parts that need to detect color, and corresponding with that need to detect the part of color；
Step 5: set several digital laser sensors in detection device, and the quantity of digital laser sensor with
It need to detect that the number of parts of material is consistent and corresponding with that need to detect the part of material；
Step 6: being demarcated to RGB digital optic fiber sensors and digital laser sensor, calibration value is regard as detection base
Industrial computer is arrived in quasi- parameter storage；
Step 7: the structural assembly that need to be detected is placed in detection mould, open detection equipment and industrial computer；
RGB digital optic fiber sensors, digital laser sensor and optoelectronic switch are detected to corresponding part respectively, detect number
Industrial computer is output to according to by multifunctional data acquisition card, industrial computer receives GB numbers by multifunctional data acquisition card
The data received are analyzed, handled by the data of word fibre optical sensor, digital laser sensor and optoelectronic switch output, and
It is compared with the detection basic parameter of setting, output testing result is shown to display；When testing result be determined as it is unqualified
When, output alarm signal.
According to of the present invention for the mistake proofing detection method of structural member assembly in automobile, machinery or household appliances manufacturing
Test software is provided with preferred scheme, industrial computer, the test software includes test parameter and sets program, state acquisition journey
Sequence, qualification determination program and data save routine；
A. industrial computer is started, initialization test parameter setting program reads in the detection basic parameter set；And it is initial
Change multifunctional data acquisition card；
B. detection is started, initialization data record, running status capture program makes industrial computer pass through multi-functional data
The signal of GB digital optic fiber sensors, digital laser sensor and optoelectronic switch is read in capture card timesharing；
C. qualification determination program is run, the data received and the detection basic parameter of setting are compared, to tested total
Judged into progress is qualified, when being determined as unqualified, output alarm signal；
D. service data save routine, preserves test parameter, and the result of determination of tested assembly is shown in display.
Beneficial effect of the present invention is：The present invention is whether there is using optoelectronic switch identification part；Utilize RGB digital fibers
Sensor recognizes part color；Part material is recognized using digital laser sensor；Realize automatic detection, record, judge, automatically
Detection process is completed, the accuracy and production efficiency of detection is improved, serves the effect of mistake proofing；Whether part is qualified by equipment
Automatic decision, unqualified, the prompting of equipment buzzer warning avoids product rejection, production mistake, delivery mistake caused by human factor
By mistake；The present invention can be widely applied in the automatization test system in the fields such as automobile, motorcycle, machinery, household electrical appliances, with compared with
Good economic benefit and social benefit.
Brief description of the drawings
Fig. 1 is the mistake proofing detection method of the present invention for structural member assembly in automobile, machinery or household appliances manufacturing
FB(flow block).
Fig. 2 is mistake proofing detection method principle frame of the present invention for structural member assembly in automobile, machinery or household appliances manufacturing
Figure.
Embodiment
Referring to Fig. 1 and Fig. 2, for the mistake proofing detection method of structural member assembly in automobile, machinery or household appliances manufacturing, it is special
Levy and be：Comprise the following steps：
Step 1: being defined to the structural member assembly that need to be detected
The structural member assembly that need to be detected is divided into some parts；The project that need to be detected to each Part Definition again；
Step 2: setting detection mould, the size of structural member assembly of the detection mould with that need to detect matches, will detected
Mould installion is in detection device 1；
Step 3: several optoelectronic switches 4 are set in detection device, and the quantity of optoelectronic switch 4 is with that need to detect part
Quantity it is consistent and corresponding with the part that need to be detected；
Step 4: several RGB digital optic fiber sensors 5 are set in detection device, and RGB digital optic fiber sensors 5
Quantity it is consistent with the number of parts that need to detect color and corresponding with the part of color need to be detected；
Step 5: several digital laser sensors 6 are set in detection device, and the quantity of digital laser sensor 6
It is consistent with the number of parts of material need to be detected and corresponding with the part of material need to be detected；
Step 6: being demarcated to RGB digital optic fiber sensors 5 and digital laser sensor 6, calibration value is regard as detection
Industrial computer 3 is arrived in basic parameter storage；
Step 7: the structural member assembly that need to be detected is placed in detection mould, open detection equipment 1 and industrial computer
3；RGB digital optic fiber sensors 5, digital laser sensor 6 and optoelectronic switch 4 detect to corresponding part respectively,
Detection data are output to industrial computer 3 by multifunctional data acquisition card 2, and industrial computer 3 passes through multifunctional data acquiring
Card 2 receives the data that GB digital optic fiber sensors 5, digital laser sensor 6 and optoelectronic switch 4 are exported, and the data received are entered
Row analysis, processing, and be compared with the detection basic parameter of setting, output testing result is shown to display；When detection knot
When fruit is determined as unqualified, output alarm signal.
Such as, the structural member assembly that need to be detected totally eight parts, wherein part one, two, seven, eight need to carry out whetheing there is judgement,
Part one, three, four, seven need to carry out colour recognition, and whether need to judge whether part one is black, judge part three respectively is red
Color, judge part four whether be blueness and judge whether part seven is grey, part two, three, five, six, eight need to carry out material knowledge
Not, thus, four optoelectronic switches need to be set in detection device, and four optoelectronic switches are corresponding with part one, two, seven, eight respectively,
Four RGB digital optic fiber sensors are set, it is corresponding with part one, three, four, seven respectively；Five digital laser sensors are set, point
It is not corresponding with part two, three, five, six, eight.
, it is necessary to be demarcated to RGB digital optic fiber sensors 5 and digital laser sensor 6, by the structure of standard before detection
Part assembly is placed in detection mould, utilizes above-mentioned RGB digital optic fiber sensors and knot of the digital laser sensor to standard
Structural member assembly is tested, and test data is after treatment as detection basic parameter storage into industrial computer 3.Specific inspection
During survey, the detected value that RGB digital optic fiber sensors 5 and digital laser sensor 6 are exported is compared with detection basic parameter,
Whether may determine that part is correct color and material.
Optoelectronic switch detects that the operation principle that part whether there is is：Optoelectronic switch sends optical signal to correspondence part, if right
Part is answered to exist, optoelectronic switch receives the optical signal being reflected back, output testing result is the signal of " 1 "；If correspondence part is not
In the presence of optoelectronic switch can not receive the optical signal being reflected back, and output testing result is the signal of " 0 "；Similarly, optoelectronic switch is also
Have non-porous on detectable part, operation principle is：Optoelectronic switch sends optical signal to correspondence part, if correspondence part has hole,
Optical signal is through the hole on part, and the optoelectronic switch can not receive the optical signal being reflected back, and output testing result is the letter of " 0 "
Number；If correspondence part is non-porous, optoelectronic switch receives the optical signal being reflected back, and output testing result is the signal of " 1 ".
Digital laser sensor detects that the operation principle of part material is：Digital laser sensor send laser signal to pair
Part is answered, if correspondence part material is different, the surface reflection degree that digital laser sensor is detected is also different, swashs using numeral
Optical sensor is tested part, it can be determined that whether part material is qualified.
In a particular embodiment, test software is provided with the industrial computer 3, the test software includes test parameter
Setting program 7, state acquisition program 8, qualification determination program 9 and data save routine 10；
A. industrial computer 3 is started, initialization test parameter setting program 7 reads in the detection basic parameter set；And just
Beginningization multifunctional data acquisition card 2；
B. detection is started, initialization data record, running status capture program 8 makes industrial computer 3 pass through multi-functional number
The signal of GB digital optic fiber sensors 5, digital laser sensor 6 and optoelectronic switch 4 is read according to the timesharing of capture card 2；
C. operation qualification determination program 9, the data received and the detection basic parameter of setting are compared, to tested total
Into qualified judge is carried out, if all parameters of test are consistent with detection basic parameter, test product is judged to be qualified, it is no
Then it is judged as unqualified；When being determined as unqualified, output alarm signal；
D. service data save routine 10, preserves test parameter, and the result of determination of tested assembly is shown in display.
The embodiment to the present invention is described above, still, and what the present invention was protected is not limited only to specific reality
Apply the scope of mode.
Claims (2)
1. a kind of mistake proofing detection method for structural member assembly in automobile, machinery or household appliances manufacturing, it is characterised in that：Including
Following steps：
Step 1: being defined to the structural member assembly that need to be detected
The structural member assembly that need to be detected is divided into some parts；The project that need to be detected to each Part Definition again；
Step 2: setting detection mould, the size of structural member assembly of the detection mould with that need to detect matches, and will detect mould
In detection device；
Step 3: several optoelectronic switches are set in detection device, and the quantity of optoelectronic switch is with that need to detect the quantity of part
Unanimously, it is and corresponding with the part that need to be detected；
Step 4: several RGB digital optic fiber sensors are set in detection device, and the quantity of RGB digital optic fiber sensors
It is consistent with the number of parts of color need to be detected and corresponding with the part of color need to be detected；
Step 5: several digital laser sensors are set in detection device, and the quantity of digital laser sensor is with needing inspection
The number of parts for matter of measuring and monitoring the growth of standing timber is consistent, and corresponding with that need to detect the part of material；
Step 6: being demarcated to RGB digital optic fiber sensors and digital laser sensor, calibration value is regard as detection benchmark ginseng
Industrial computer is arrived in number storage；
Step 7: the structural member assembly that need to be detected is placed in detection mould, open detection equipment and industrial computer；RGB
Digital optic fiber sensor, digital laser sensor and optoelectronic switch are detected to corresponding part respectively, detect data
Industrial computer is output to by multifunctional data acquisition card, industrial computer receives GB numerals by multifunctional data acquisition card
The data received are analyzed, handled by the data of fibre optical sensor, digital laser sensor and optoelectronic switch output, and with
The detection basic parameter of setting is compared, and output testing result is shown to display；When testing result is determined as unqualified,
Output alarm signal.
2. it is used for the mistake proofing detection method of structural member assembly in automobile, mechanical or household appliances manufacturing according to claim 1, its
It is characterised by：Test software is provided with industrial computer, the test software includes test parameter and sets program, state acquisition journey
Sequence, qualification determination program and data save routine；
A. industrial computer is started, initialization test parameter setting program reads in the detection basic parameter set；And initialize many
Performance data capture card；
B. detection is started, initialization data record, running status capture program makes industrial computer pass through multifunctional data acquiring
The signal of GB digital optic fiber sensors, digital laser sensor and optoelectronic switch is read in card timesharing；
C. qualification determination program is run, the data received and the detection basic parameter of setting are compared, tested assembly is entered
Row is qualified to be judged, when being determined as unqualified, output alarm signal；
D. service data save routine, preserves test parameter, and the result of determination of tested assembly is shown in display.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710424780.6A CN107192692B (en) | 2017-06-07 | 2017-06-07 | Error-proofing detection method for structural part assembly in automobile, machinery or household appliance manufacturing industry |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710424780.6A CN107192692B (en) | 2017-06-07 | 2017-06-07 | Error-proofing detection method for structural part assembly in automobile, machinery or household appliance manufacturing industry |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107192692A true CN107192692A (en) | 2017-09-22 |
| CN107192692B CN107192692B (en) | 2020-06-26 |
Family
ID=59877403
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710424780.6A Active CN107192692B (en) | 2017-06-07 | 2017-06-07 | Error-proofing detection method for structural part assembly in automobile, machinery or household appliance manufacturing industry |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107192692B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107941267A (en) * | 2017-10-18 | 2018-04-20 | 苏州锐竹精密机电有限公司 | One kind is used for brake pipe detection method |
| CN112067329A (en) * | 2020-08-25 | 2020-12-11 | 共享智能铸造产业创新中心有限公司 | 3D printer delivery detection system, printer, detection method and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202018287U (en) * | 2011-04-11 | 2011-10-26 | 上海天合汽车安全系统有限公司 | Automobile side airbag contour detector |
| CN103121162A (en) * | 2013-03-18 | 2013-05-29 | 阜新德尔汽车部件股份有限公司 | Semi-automatic press for mechanical assembly |
| CN103366145A (en) * | 2013-07-01 | 2013-10-23 | 北京印刷学院 | Anti-error detection method and system based on magnetic coding and identification technology for sample book production |
| CN105469079A (en) * | 2015-12-31 | 2016-04-06 | 中国科学院上海高等研究院 | Object material identification method based on multi-sensor information fusion |
| CN106333720A (en) * | 2016-10-14 | 2017-01-18 | 苏州英途康医疗科技有限公司 | Intelligent abdomen microscope anastomat |
| CN205898206U (en) * | 2016-08-16 | 2017-01-18 | 长安马自达汽车有限公司 | Special machine of electric automated inspection of mistake proofing leak protection |
| CN106383027A (en) * | 2016-08-29 | 2017-02-08 | 中航动力股份有限公司 | Online state detection method for brake pads of ratchet clutch |
-
2017
- 2017-06-07 CN CN201710424780.6A patent/CN107192692B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202018287U (en) * | 2011-04-11 | 2011-10-26 | 上海天合汽车安全系统有限公司 | Automobile side airbag contour detector |
| CN103121162A (en) * | 2013-03-18 | 2013-05-29 | 阜新德尔汽车部件股份有限公司 | Semi-automatic press for mechanical assembly |
| CN103366145A (en) * | 2013-07-01 | 2013-10-23 | 北京印刷学院 | Anti-error detection method and system based on magnetic coding and identification technology for sample book production |
| CN105469079A (en) * | 2015-12-31 | 2016-04-06 | 中国科学院上海高等研究院 | Object material identification method based on multi-sensor information fusion |
| CN205898206U (en) * | 2016-08-16 | 2017-01-18 | 长安马自达汽车有限公司 | Special machine of electric automated inspection of mistake proofing leak protection |
| CN106383027A (en) * | 2016-08-29 | 2017-02-08 | 中航动力股份有限公司 | Online state detection method for brake pads of ratchet clutch |
| CN106333720A (en) * | 2016-10-14 | 2017-01-18 | 苏州英途康医疗科技有限公司 | Intelligent abdomen microscope anastomat |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107941267A (en) * | 2017-10-18 | 2018-04-20 | 苏州锐竹精密机电有限公司 | One kind is used for brake pipe detection method |
| CN112067329A (en) * | 2020-08-25 | 2020-12-11 | 共享智能铸造产业创新中心有限公司 | 3D printer delivery detection system, printer, detection method and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107192692B (en) | 2020-06-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021057230A1 (en) | Color identification-based water quality detection method, apparatus and device, and storage medium | |
| WO2018103130A1 (en) | Online quality inspection method for molded products | |
| CN102253048B (en) | Machine vision detection method and system for detection of various products | |
| CN101419166A (en) | Tea quality nondestructive detecting method and device based on near-infrared spectrum and machine vision technology | |
| CN106248150B (en) | External labeling type fiber-optic grating sensor, detection system and method applied to chamber filter plate | |
| CN201820260U (en) | Real-time monitoring, feedback and identification system for quality information of condoms | |
| CN103439337A (en) | Automatic detection device and method for apparent defects of piezoelectric ceramic buzzers | |
| CN106383121B (en) | It is a kind of can adaptive multi-brand visible detection method and system | |
| CN107192692A (en) | Mistake proofing detection method for structural member assembly in automobile, machinery or household appliances manufacturing | |
| CN115907279A (en) | Quality detection system and method for industrial production products based on Internet of things | |
| CN203365312U (en) | Color sensor based product quality detection device | |
| CN106404066B (en) | External labeling type fiber-optic grating sensor, detection system and method applied to membrane filter plate | |
| CN108398179A (en) | A kind of meausring apparatus detection method and system | |
| CN203432920U (en) | Device for automatically detecting apparent defects of piezoelectric ceramic buzzing pieces | |
| CN111181632A (en) | Automatic test system of SFP optical module | |
| CN102507008A (en) | Multi-template automatic optical color detection method | |
| CN110320012A (en) | A kind of LED intelligence manufacture detection device | |
| CN106949925A (en) | It is a kind of to be used for engine, the online visible detection method of gearbox surface coating | |
| CN103940586B (en) | The life detecting method of mid-infrared solid state laser | |
| EP3835737A1 (en) | Method and apparatus for determining a vertical position of a horizontally extending interface between a first component and a second component | |
| JP4944824B2 (en) | Inspection result display device | |
| CN111097707A (en) | Batch test method for electronic equipment | |
| CN105300330A (en) | Device for accurately detecting screw state and method | |
| US20040181363A1 (en) | Device for indicating the residual life of industrial products | |
| CN114169903A (en) | Traditional Chinese medicine digital quality control tracing method capable of fusing nondestructive testing technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200602 Address after: 322000 1 Shuang Lin Road, fo Tang Town, Yiwu, Jinhua, Zhejiang Applicant after: ZHEJIANG SHIBAO Co.,Ltd. Address before: 404300, No. two, Xiangshan Road, 11 Zhong Zhou Town, Chongqing, Zhongxian, No. 33-1, attached 2 Applicant before: Peng Xiaoxiong |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |