CN102514771A - Industrial explosive roll transmission attitude identification and diagnosis system and method thereof - Google Patents

Industrial explosive roll transmission attitude identification and diagnosis system and method thereof Download PDF

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Publication number
CN102514771A
CN102514771A CN2011103309348A CN201110330934A CN102514771A CN 102514771 A CN102514771 A CN 102514771A CN 2011103309348 A CN2011103309348 A CN 2011103309348A CN 201110330934 A CN201110330934 A CN 201110330934A CN 102514771 A CN102514771 A CN 102514771A
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China
Prior art keywords
powder stick
subsystem
transmission
attitude
image
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CN2011103309348A
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Chinese (zh)
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许亮
何传龙
何小敏
张小波
王春茹
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Guangdong University of Technology
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Guangdong University of Technology
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Abstract

The invention discloses an industrial explosive roll transmission attitude identification and diagnosis system and a method thereof. The system comprises an imaging subsystem (1), an image acquisition and preprocessing subsystem (2), an explosive roll transmission attitude online detection subsystem (3), an alarming and processing subsystem (4) and a parameter rule storage subsystem (5), wherein the signal input end of the image acquisition and preprocessing subsystem (2) is connected with the signal output end of the imaging subsystem (1); the signal input end of the explosive roll transmission attitude online detection subsystem (3) is connected with the signal output end of the image acquisition and preprocessing subsystem (2) and the parameter rule storage subsystem (5); and the signal output end of the online explosive roll transmission attitude detection subsystem (3) is connected with the alarming and processing subsystem (4). By the industrial explosive roll transmission attitude identification and diagnosis system, the automation degree of an explosive packaging production line can be increased; the number of workers is reduced; and the safety is high. The industrial explosive roll transmission attitude identification and diagnosis method is convenient to operate and high in practicability.

Description

Industrial explosive cartridge transmission gesture recognition and diagnostic system and method thereof
Technical field
The present invention is a kind of industrial explosive cartridge transmission gesture recognition and diagnostic system and method thereof; Specifically be to packing explosive process powder stick transmission gesture recognition and diagnotic system and method thereof, belong to the renovation technique of commercial explosive packaging process quality on-line detection system.
Background technology
Along with China's economic construction is fast-developing, the demand of commercial explosive increases greatly, and the civil explosive material industry is accompanied by this demand and obtains large development.At present, the Industrial Explosive in Our Country production process is realized mechanization, serialization, micro computer monitoring, automated production basically.But in powder stick packing link, the packing of product is backward in technique, packaging facilities ubiquity defective, and degree of automation is not high, still needs artificial the participation to produce in critical process.
In packing explosive equipment, the transmission attitude of powder stick can receive the influence of the place ahead charging machine and changes on the belt.The powder stick of unusual transmission attitude is easy mutual extrusion in subsequent handling, makes powder stick deform, squeeze and break, and can cause manufacturing line to see plug when serious, makes the manufacturing line collapse.Head it off is mainly unusual through manual detection at present.But manual detection can't satisfy speed of production, detects effect and receives factor affecting such as workman's muscle power, reaction, and the particularity of production environment also threatens to field staff's personal safety.
To the problems referred to above, utilize computer technology, improve and improve the automation and the intelligent level of commercial explosive wrapping machine, development is efficient, the failure-free online detection instrument, and making the field staff break away from abominable working environment is pressing for of commercial explosive packaging industry.
Summary of the invention
The objective of the invention is to consider to address the above problem, utilize machine vision technique, a kind of good industrial explosive cartridge transmission gesture recognition and diagnostic system of degree of automation, minimizing operating personnel, safety that improves the commercial explosive packaging production line is provided.
Another object of the present invention is to provide a kind of easy to operate, practical industrial explosive cartridge to transmit the identification and the diagnostic method of attitude.
Technical scheme of the present invention is: industrial explosive cartridge transmission gesture recognition of the present invention and diagnostic system; Include imaging subsystems, IMAQ and preprocessing subsystem, the online detection subsystem of powder stick transmission attitude, warning and processing subsystem and parameter rule storage subsystem; Wherein the signal input part of IMAQ and preprocessing subsystem is connected with the signal output part of imaging subsystems; The signal input part of the online detection subsystem of powder stick transmission attitude is connected with the signal output part of IMAQ and preprocessing subsystem and is connected with the parameter rule storage subsystem, and the signal output part of the online detection subsystem of powder stick transmission attitude is connected with processing subsystem with warning.
Above-mentioned each subsystem connects through communication interface.
Above-mentioned imaging subsystems includes CCD camera, camera lens, light source, light source controller, and the CCD camera is installed in directly over the transport tape of industrial explosive cartridge, and light source is installed in the both sides of CCD camera, throws light on to transport tape through the light-source controller controls light source.
The image of above-mentioned responsible collection imaging system, and image done pretreatment, strengthen the IMAQ of powder stick target signature and the image pick-up card of preprocessing subsystem and be connected with the CCD camera through data line.
The identification and the diagnostic method of industrial explosive cartridge transmission gesture recognition of the present invention and diagnostic system comprise following rapid:
1) imaging subsystems images acquired directly over the powder stick, powder stick transmission belt sense of motion is set at the x direction of principal axis of image;
2) IMAQ and preprocessing subsystem read in image from imaging subsystems, and the image of gathering is carried out pretreatment, and the interfere information in the removal of images is strengthened target signature in the image;
3) after the online detection subsystem of powder stick transmission attitude gets access to the image of IMAQ and preprocessing subsystem; Extract the powder stick edge line parallel with the powder stick axis; Utilize equation of straight line to describe straight line; Compare with storage data in the parameter rule storage subsystem, discern and diagnose out powder stick transmission attitude, and the result submitted to report to the police and processing subsystem;
4) warning and processing subsystem provide corresponding warning processing and subsequent treatment according to the powder stick transmission attitude that the online detection subsystem of powder stick transmission attitude provides.
Above-mentioned steps 2) in, the treating process of IMAQ and preprocessing subsystem comprises the steps:
1) adopts filtering technique that image is done Filtering Processing, improve the contrast ratio of powder stick and belt;
2) adopt Threshold Segmentation Algorithm that image is cut apart, extract the powder stick pixel, remove the belt pixel;
3) the image powder stick after cutting apart is carried out opening operation and handle, softening powder stick edge makes the target separation of adhesion and the salt-pepper noise in the filtering image simultaneously;
4) employing hollows out interior point method and extracts the powder stick contour images.
Above-mentioned steps 3) in, the treating process of the online detection subsystem of powder stick transmission attitude comprises the steps:
1) adopts Hough conversion line detection algorithm, detect powder stick contour images edge line;
2) angle of edge calculation straight line and x axle;
3) whether unusual according to included angle of straight line diagnosis powder stick transmission attitude;
4) according to the powder stick edge line, the location powder stick.
Canned data includes the parameter and unusual powder stick rule of online detection powder stick in the above-mentioned parameter rale store subsystem; The online detection subsystem of powder stick transmission attitude can be adjusted online detected parameters according to canned data in the parameter rule storage subsystem, according to unusual powder stick rule diagnosis powder stick transmission attitude.
Industrial explosive cartridge transmission gesture recognition of the present invention and diagnostic system adopt the structure that includes imaging subsystems, IMAQ and preprocessing subsystem, the online detection subsystem of powder stick transmission attitude, warning and processing subsystem and parameter rule storage subsystem.IMAQ and preprocessing subsystem are taken the powder stick image through the imaging subsystems of gathering machine vision; The online detection subsystem of powder stick transmission attitude is according to the information Recognition powder stick of the parameter rule storage subsystem transmission posture feature information with respect to the packing transport tape, and recognition result supplies the warning processing subsystem to use; Warning and preprocessing subsystem provide corresponding warning and processing according to diagnostic result.Identification of the present invention and diagnostic method extract the powder stick characteristics of image, and do corresponding optimization process through to image processing, realize the purpose of powder stick transmission attitude quick diagnosis.The present invention mainly solves the manufacturing line plugging fault problem that is caused unusually by powder stick transmission attitude.The present invention can be applied to the industrial explosive cartridge packaging process, realizes powder stick transmission attitude online automatic detection, reduces operating personal, reduces production costs and maintenance cost, enhances productivity.The present invention is industrial explosive cartridge transmission gesture recognition and diagnostic system and the method thereof that a kind of automatization level is high, safety is good, practical.
Description of drawings
Fig. 1 is the schematic diagram of embodiment of the invention industrial explosive cartridge transmission gesture recognition and diagnostic system;
Fig. 2 is the diagram of circuit of embodiment of the invention identification with diagnostic method.
The specific embodiment
Embodiment:
Industrial explosive cartridge transmission gesture recognition of the present invention and diagnostic system; Include the online detection subsystem of imaging subsystems 1, IMAQ and preprocessing subsystem 2, powder stick transmission attitude 3, warning and processing subsystem 4 and parameter rule storage subsystem 5; Wherein the signal input part of IMAQ and preprocessing subsystem 2 is connected with the signal output part of imaging subsystems 1; The signal input part of the online detection subsystem 3 of powder stick transmission attitude is connected with the signal output part of IMAQ and preprocessing subsystem 2 and is connected with parameter rule storage subsystem 5, and the signal output part of the online detection subsystem 3 of powder stick transmission attitude is connected with processing subsystem 4 with warning.
In the present embodiment, above-mentioned each subsystem connects through communication interface.
In the present embodiment; Above-mentioned imaging subsystems 1 includes CCD camera, camera lens, light source, light source controller; The CCD camera is installed in directly over the transport tape of industrial explosive cartridge, and light source is installed in the both sides of CCD camera, throws light on to transport tape through the light-source controller controls light source.
In the present embodiment, the image of above-mentioned responsible collection imaging system, and image done pretreatment, strengthen the IMAQ of powder stick target signature and the image pick-up card of preprocessing subsystem 2 and be connected with the CCD camera through data line.
The identification and the diagnostic method of industrial explosive cartridge transmission gesture recognition of the present invention and diagnostic system comprise following rapid:
1) imaging subsystems 1 images acquired directly over the powder stick, the x direction of principal axis of setting image is a powder stick transmission belt sense of motion;
2) IMAQ and preprocessing subsystem 2 read in image from imaging subsystems 1, and the image of gathering is carried out pretreatment, and the interfere information in the removal of images is strengthened target signature in the image;
3) after the online detection subsystem 3 of powder stick transmission attitude gets access to the image of IMAQ and preprocessing subsystem 2; Extract the powder stick edge line parallel with the powder stick axis; Utilize equation of straight line to describe straight line; Compare with storage data in the parameter rule storage subsystem 5, discern and diagnose out powder stick transmission attitude, and the result submitted to report to the police and processing subsystem 4;
4) warning and processing subsystem (4) provide corresponding warning processing and subsequent treatment according to the powder stick transmission attitude that the online detection subsystem 3 of powder stick transmission attitude provides.
Above-mentioned steps 2) in, the treating process of IMAQ and preprocessing subsystem 2 comprises the steps:
1) adopts filtering technique that image is done Filtering Processing, improve the contrast ratio of powder stick and belt;
2) adopt Threshold Segmentation Algorithm that image is cut apart, extract the powder stick pixel, remove the belt pixel;
3) the image powder stick after cutting apart is carried out opening operation and handle, softening powder stick edge makes the target separation of adhesion and the salt-pepper noise in the filtering image simultaneously;
4) employing hollows out interior point method and extracts the powder stick contour images.
Above-mentioned steps 3) in, the treating process of the online detection subsystem 3 of powder stick transmission attitude comprises the steps:
1) outline of extraction powder stick through emptying the powder stick interior pixels, extracts the powder stick profile, extracts the powder stick edge line: the image to after handling is done the Hough conversion, detects powder stick contour images edge line;
2) angle of detected edge line of calculating and x axle;
3) judge according to canned data in the parameter rule storage subsystem 5 whether above-mentioned angle belongs to normal range, if do not belong to normal range, the diagnosis powder stick is unusual powder stick;
4) according to the powder stick edge line, location powder stick, and the position of recording exceptional powder stick are submitted to warning and processing subsystem 4 with testing result.
Canned data includes the parameter and unusual powder stick rule of online detection powder stick in the above-mentioned parameter rale store subsystem 5; The online detection subsystem 3 of powder stick transmission attitude can be adjusted online detected parameters according to canned data in the parameter rule storage subsystem 5, according to unusual powder stick rule diagnosis powder stick transmission attitude.

Claims (8)

1. an industrial explosive cartridge transmits gesture recognition and diagnostic system; It is characterized in that including imaging subsystems (1), IMAQ and preprocessing subsystem (2), powder stick the transmission online detection subsystem of attitude (3), warning and processing subsystem (4) and parameter rule storage subsystem (5); Wherein the signal input part of IMAQ and preprocessing subsystem (2) is connected with the signal output part of imaging subsystems (1); The signal input part of the powder stick transmission online detection subsystem of attitude (3) is connected with the signal output part of IMAQ and preprocessing subsystem (2) and is connected with parameter rule storage subsystem (5), and the signal output part of the powder stick transmission online detection subsystem of attitude (3) is connected with processing subsystem (4) with warning.
2. industrial explosive cartridge transmission gesture recognition according to claim 1 and diagnostic system is characterized in that above-mentioned each subsystem connects through communication interface.
3. industrial explosive cartridge transmission gesture recognition according to claim 1 and diagnostic system; It is characterized in that above-mentioned imaging subsystems (1) includes CCD camera, camera lens, light source, light source controller; The CCD camera is installed in directly over the transport tape of industrial explosive cartridge; Light source is installed in the both sides of CCD camera, throws light on to transport tape through the light-source controller controls light source.
4. industrial explosive cartridge transmission gesture recognition according to claim 1 and diagnostic system; It is characterized in that the above-mentioned image of gathering imaging system that obtains; And image done pretreatment, strengthen the IMAQ of powder stick target signature and the image pick-up card of preprocessing subsystem (2) and be connected with the CCD camera through data line.
5. the identification and the diagnostic method of an industrial explosive cartridge according to claim 1 transmission gesture recognition and diagnostic system, it is characterized in that comprising following suddenly:
1) imaging subsystems (1) images acquired directly over the powder stick, powder stick transmission belt sense of motion is set at the x direction of principal axis of image;
2) IMAQ and preprocessing subsystem (2) read in view data from imaging subsystems (1), and the image of gathering is carried out pretreatment, and the interfere information in the removal of images is strengthened target signature in the image;
3) after the powder stick transmission online detection subsystem of attitude (3) is obtained the image of IMAQ and preprocessing subsystem (2); Extract the powder stick edge line parallel with the powder stick axis; Utilize equation of straight line to describe straight line; Compare with storage data in the parameter rule storage subsystem (5), diagnose out powder stick transmission attitude, and give warning and processing subsystem (4) result transmission;
4) the report to the police powder stick diagnosed out according to the powder stick transmission online detection subsystem of attitude (3) with processing subsystem (4) transmits attitude and provides corresponding warning and subsequent treatment.
6. the identification and the diagnostic method of industrial explosive cartridge transmission gesture recognition according to claim 5 and diagnostic system is characterized in that above-mentioned steps 2) in, the treating process of IMAQ and preprocessing subsystem (2) comprises the steps:
1) adopts filtering technique that image is done Filtering Processing, improve the contrast ratio of powder stick and belt;
2) adopt Threshold Segmentation Algorithm that image is cut apart, extract the powder stick pixel, remove the belt pixel;
3) the image powder stick after cutting apart is carried out opening operation and handle, softening powder stick edge makes the target separation of adhesion and the salt-pepper noise in the filtering image simultaneously;
4) employing hollows out interior point method and extracts the powder stick contour images.
7. the identification and the diagnostic method of industrial explosive cartridge transmission gesture recognition according to claim 5 and diagnostic system is characterized in that above-mentioned steps 3) in, the treating process of the powder stick transmission online detection subsystem of attitude (3) comprises the steps:
1) adopts Hough conversion line detection algorithm, detect powder stick contour images edge line;
2) angle of edge calculation straight line and x axle;
3) whether unusual according to included angle of straight line diagnosis powder stick transmission attitude;
4) according to the powder stick edge line, the location powder stick.
8. the identification and the diagnostic method of industrial explosive cartridge transmission gesture recognition according to claim 5 and diagnostic system; It is characterized in that the middle canned data of above-mentioned parameter rale store subsystem (5) includes the parameter and unusual powder stick rule of online detection powder stick; The powder stick transmission online detection subsystem of attitude (3) can be adjusted online detected parameters according to canned data in the parameter rule storage subsystem (5), according to unusual powder stick rule diagnosis powder stick transmission attitude.
CN2011103309348A 2011-10-27 2011-10-27 Industrial explosive roll transmission attitude identification and diagnosis system and method thereof Pending CN102514771A (en)

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Application Number Priority Date Filing Date Title
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104516337A (en) * 2013-10-01 2015-04-15 美国博通公司 Gesture-Based Industrial Monitoring
CN104749801A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 High-precision automatic optical detection method and high-precision automatic optical detection system
CN104749184A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 Automatic optical detection method and automatic optical detection system

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Publication number Priority date Publication date Assignee Title
CN101555661A (en) * 2009-04-14 2009-10-14 山东农业大学 Measuring method and system for weight of cotton foreign fiber based on machine vision technique
CN101625555A (en) * 2009-08-13 2010-01-13 上海交通大学 Steel coil stepping displacement anti-rollover monitoring system and monitoring method thereof
CN101667061A (en) * 2009-09-08 2010-03-10 广东工业大学 Detection system of interactive projection and detection method thereof
CN202624728U (en) * 2011-10-27 2012-12-26 广东振声科技股份有限公司 Industrial explosive cartridge transmission profile identification and diagnosis system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101555661A (en) * 2009-04-14 2009-10-14 山东农业大学 Measuring method and system for weight of cotton foreign fiber based on machine vision technique
CN101625555A (en) * 2009-08-13 2010-01-13 上海交通大学 Steel coil stepping displacement anti-rollover monitoring system and monitoring method thereof
CN101667061A (en) * 2009-09-08 2010-03-10 广东工业大学 Detection system of interactive projection and detection method thereof
CN202624728U (en) * 2011-10-27 2012-12-26 广东振声科技股份有限公司 Industrial explosive cartridge transmission profile identification and diagnosis system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104516337A (en) * 2013-10-01 2015-04-15 美国博通公司 Gesture-Based Industrial Monitoring
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CN104749801A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 High-precision automatic optical detection method and high-precision automatic optical detection system
CN104749184A (en) * 2013-12-31 2015-07-01 研祥智能科技股份有限公司 Automatic optical detection method and automatic optical detection system
CN104749184B (en) * 2013-12-31 2018-08-21 研祥智能科技股份有限公司 Automatic optical detection method and system
CN104749801B (en) * 2013-12-31 2019-09-20 研祥智能科技股份有限公司 High Precision Automatic optical detecting method and system

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Application publication date: 20120627