CN219891105U - Online detection system for surface flaws of bamboo floor - Google Patents
Online detection system for surface flaws of bamboo floor Download PDFInfo
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- CN219891105U CN219891105U CN202320208749.XU CN202320208749U CN219891105U CN 219891105 U CN219891105 U CN 219891105U CN 202320208749 U CN202320208749 U CN 202320208749U CN 219891105 U CN219891105 U CN 219891105U
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- 238000001514 detection method Methods 0.000 title claims abstract description 110
- 235000017166 Bambusa arundinacea Nutrition 0.000 title claims abstract description 25
- 235000017491 Bambusa tulda Nutrition 0.000 title claims abstract description 25
- 241001330002 Bambuseae Species 0.000 title claims abstract description 25
- 235000015334 Phyllostachys viridis Nutrition 0.000 title claims abstract description 25
- 239000011425 bamboo Substances 0.000 title claims abstract description 25
- 239000002023 wood Substances 0.000 claims abstract description 27
- 230000005540 biological transmission Effects 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims description 11
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000013523 data management Methods 0.000 abstract description 5
- 238000007689 inspection Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 7
- 230000007547 defect Effects 0.000 description 4
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Abstract
The utility model discloses an online detection system for surface flaws of a bamboo-wood floor, which comprises a transmission belt, a machine vision detection box body, an industrial camera and a lens, a light source system, a photoelectric sensor, a stepping motor module, a power supply module, a motor control module, a light source control module and a flaw detection module. The power supply module is respectively connected with the stepping motor module, the motor control module, the light source control module and the flaw detection module for supplying power; the motor control module is connected with the stepping motor module and the photoelectric sensor; an output shaft of the stepping motor module is connected with the transmission belt; the system provided by the utility model can realize online automatic and intelligent detection, positioning and data management of surface flaws such as holes, grooves, vertical cracks and the like of the bamboo floor. Compared with manual spot inspection of the floor by naked eyes, the utility model has great advantages in the aspects of detection integrity, detection efficiency, detection quality stability, detection standard consistency and the like, and improves the quality and efficiency of bamboo-wood floor surface flaw detection.
Description
Technical Field
The utility model relates to the field of product surface quality detection, in particular to an online detection system for surface flaws of bamboo and wood floors.
Background
The quality of the bamboo-wood floor determines a series of important parameters such as the service performance, the service life, the working reliability and the like of the bamboo-wood floor. Surface flaws of bamboo-wood floors are important factors affecting the quality thereof. At present, many bamboo and wood floor processing and production enterprises in China mainly carry out sampling detection by naked eyes. The manual detection has the defects in the aspects of detection integrity, detection efficiency, detection quality stability, detection standard consistency and the like. Along with the improvement of the processing amount of the bamboo floor, the workload of human detection and identification of products is increased, so that the conditions of influencing the detection efficiency and the detection quality such as labor cost, sensory fatigue, working efficiency, emotion and the like are brought, the enterprise products can flow to the next working procedure and nodes under the condition that the complete quality detection is not obtained, and even the defective products can flow to the market, so that certain quality cost and brand loss are caused. Therefore, it is necessary to design an online detection system for surface flaws of bamboo and wood floors, so as to help enterprises to realize online automatic and intelligent detection, positioning and data management of the surface flaws of holes, grooves, vertical cracks and the like of the bamboo and wood floors, thereby improving the product quality and reducing the enterprise cost.
Disclosure of Invention
In view of the above, the present utility model aims to provide an on-line detection system for surface flaws of bamboo and wood floors based on the technology of automation, informatization and machine vision.
In order to solve the technical problems, the utility model adopts the following technical scheme:
the on-line detection system for the surface flaws of the bamboo and wood floor comprises a machine vision detection box body, an industrial camera, a lens, a first light source, a second light source, a third light source, a fourth light source, a photoelectric sensor, a stepping motor module, a power supply module, a motor control module, a light source control module, a transmission belt and a flaw detection module; the power supply module is respectively connected with the stepping motor module, the motor control module, the light source control module and the flaw detection module for supplying power; the motor control module is connected with the stepping motor module and the photoelectric sensor; an output shaft of the stepping motor module is connected with the transmission belt; the motor control module receives detection signals of the photoelectric sensor in real time and controls the stepping motor module to operate based on the detection signals of the photoelectric sensor, so that transmission of the transmission belt is controlled, and a detected floor is placed on the transmission belt; the light source control module is connected with the first light source, the second light source, the third light source and the fourth light source to control the turning-off and turning-on of the first light source, the second light source, the third light source and the fourth light source; the industrial camera and the lens, the first light source, the second light source, the third light source, the fourth light source and the photoelectric sensor are all arranged in the machine vision detection box body and positioned above the conveyor belt, wherein the first light source, the second light source, the third light source and the fourth light source are respectively positioned at four directions of the industrial camera and the lens; the photoelectric sensor is positioned at the edge of the front end side of the transmission direction of the transmission belt in the detection range of the industrial camera; the flaw detection module is connected with the industrial camera and the lens, receives images acquired by the industrial camera and the lens and detects flaws.
Further, the intelligent detection device further comprises a computer host and a display screen, wherein the computer host is connected with the motor control module, the industrial camera, the lens and the light source control module, the flaw detection module is integrated in the computer host, and the display screen is used for displaying the detection result of the flaw detection module in real time.
Further, the computer host establishes communication with the industrial camera and the lens through the USB data line to obtain the shot bamboo-wood floor visual image.
Further, the computer host performs data communication with the motor control module through the USB-to-RS module.
Further, the computer host performs data communication with the light source control module through the USB-to-RS module.
Further, the first light source, the second light source, the third light source and the fourth light source are LED light sources and emit light to projection points of the camera on the detected floor at an angle of 45 degrees.
Further, the machine vision detection box is an opaque box.
Further, the device also comprises a bearing platform for placing the conveying belt.
Further, the control cabinet for placing the stepping motor module, the power supply module, the motor control module and the light source control module is also included.
The utility model has the beneficial effects that the detection, the positioning and the data management of the defects on the floor surface such as holes, vertical cracks, transverse grooves, vertical grooves and the like can be realized through the automatic and intelligent technology of the system. Compared with the original manual naked eye spot inspection in China, the method has great advantages in the aspects of detection integrity, detection efficiency, detection quality stability, detection standard consistency and the like, and the detection quality and the detection efficiency of the bamboo and wood floor surface flaw detection are improved.
Drawings
FIG. 1 is a schematic diagram of the system of the present utility model.
The machine vision detection box comprises a machine vision detection box body 1, an industrial camera and lens 2, a first light source 3, a second light source 4, a third light source 5, a fourth light source 6, a photoelectric sensor 7, a stepping motor module 8, a power supply module 9, a motor control module 10, a light source control module 11, a computer host 12, a display screen 13, a control cabinet 14, a bearing platform 15, a transmission belt 16 and a detected floor 17.
FIG. 2 is a logic diagram of an on-line inspection control program of a host computer.
Fig. 3 is a logic diagram of a control program of the motor control module.
Fig. 4 is a logic diagram of a control program of the light source control module.
Detailed Description
The utility model is described in further detail below with reference to the attached drawings and detailed description:
as shown in fig. 1, the on-line detection system for surface flaws of bamboo and wood floor according to the present utility model comprises a machine vision detection box 1, an industrial camera and lens 2, a first light source 3, a second light source 4, a third light source 5, a fourth light source 6, a photoelectric sensor 7, a stepper motor module 8, a power module 9, a motor control module 10, a light source control module 11, a conveyor belt 16 and a flaw detection module. The power supply module 9 is respectively connected with the stepping motor module 8, the motor control module 10, the light source control module 11 and the flaw detection module for supplying power. The motor control module 10 is connected with the stepping motor module 8 and the photoelectric sensor 7; the output shaft of the stepping motor module 8 is connected with the transmission belt 16; the motor control module 10 receives detection signals of the photoelectric sensor 7 in real time and controls the stepping motor module 8 to operate based on the detection signals of the photoelectric sensor 7, so as to control the transmission of the transmission belt 16, and a detected floor 17 is placed on the transmission belt 16; the light source control module 11 is connected with the first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 and controls the first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 to be turned off and on; the industrial camera and lens 2, the first light source 3, the second light source 4, the third light source 5, the fourth light source 6 and the photoelectric sensor 7 are all arranged in the machine vision detection box 1 and positioned above the transmission belt 16, wherein the first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 are respectively positioned at four directions of the industrial camera and lens 2; the photosensor 7 is located at the edge (right side in the drawing) of the front end side of the conveying belt 16 in the industrial camera detection range, so that it is possible to accurately detect whether the floor 17 to be detected is within the industrial camera detection range. The flaw detection module is connected with the industrial camera and the lens 2, receives images acquired by the industrial camera and the lens 2 and detects flaws.
Preferably, the device also comprises a computer host 12 and a display screen 13, wherein the computer host 12 is in data communication with the motor control module 10 through the USB-to-RS 485 module, and the motor control module 10 controls the stepping motor module 8 to operate and stop the transmission belt 16 according to the signals of the photoelectric sensor 7 and the communication instructions of the computer host 12. The computer host 12 establishes communication with the industrial camera and the lens 2 through the USB data line to obtain the visual image of the bamboo floor photographed by the computer host. Preferably, the industrial camera model JHSM300s in the industrial camera and lens 2 is disposed directly above the floor 17 to be inspected. The computer host 12 performs data communication with the light source control module 11 through the USB-RS 485 module, and the light source control module 11 controls the first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 to be turned off and on according to the communication instruction of the computer host 12. The first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 are LED light sources and direct light to a projection point of the camera on the detected floor 17 at an angle of 45 degrees, the first light source 3 and the third light source 5 are arranged in a floor conveying direction, the second light source 4 and the fourth light source 6 are arranged in a direction perpendicular to the floor conveying direction, and the photoelectric sensor 7 is positioned at one side edge of the third light source 5 in the detection range of the industrial camera. The machine vision detection box 1 is an opaque box, and comprises an industrial camera and a lens 2, a first light source 3, a second light source 4, a third light source 5, a fourth light source 6 and a photoelectric sensor 7, so that the interference of ambient light can be eliminated when the industrial camera and the lens 2 take a picture, and an accurate image can be obtained. The flaw detection module is integrated in the host computer 12, and the display screen 13 is used for displaying the detection result of the flaw detection module in real time.
The utility model discloses a bamboo wood floor surface flaw on-line measuring system during operation, the workman will be detected floor 17 and place on conveyer belt 16, and host computer 12 sends and begins the detection instruction and give motor control module 10, and motor control module 10 drive step motor module 8 control conveyer belt 16 are carried by the floor 17 to the assigned position, and host computer 12 control light source control module 11 and industry camera and camera lens 2 acquire digital image to utilize flaw detection module to carry out the intelligent identification and the location of floor flaw. The logic diagram of the on-line detection control program of the computer host 12 is shown in fig. 2. After the detection is started, the computer sends an instruction to the motor control module 10 to start the detection, and waits for the motor control module 10 to feed back a floor conveying completion signal. If the detected floor 17 is conveyed to the designated position, the computer host sends an instruction to the light source control module 11 to turn on the light sources in sequence at regular time. After the instruction is sent out, the industrial camera is controlled to acquire the image 1 after a delay of t1 seconds. After a delay of t2 seconds, the industrial camera is controlled to acquire image 2. After a delay of t2 seconds, the industrial camera is controlled to acquire an image 3. After a delay of t2 seconds, the industrial camera is controlled to acquire an image 4. Wherein t1 represents the response time from when the host computer sends an instruction to the light source control module 11 to turn on the light source until when the first light source is turned on, and t2 represents the delay time from when the light source is turned off and the next light source is turned on. The computer host 12 inputs the acquired images to a flaw detection module for detection, and the flaw detection module uses the acquired four images to apply a photometric stereo technique to obtain a surface gradient image. And obtaining a Gaussian curvature image through the surface gradient image. And positioning and marking defect points according to the Gaussian curvature image, judging the quality grade, and storing related detection data into a database. After completion, the host computer 12 sends instructions to the motor control module 10 to control the conveyor belt 16 to continue conveying, and the continuous real-time detection is performed. The control program logic diagram of the motor control module 10 is shown in fig. 3. When the motor control module 10 receives the computer instruction to start detection, the stepping motor module 8 is driven to control the conveyor belt 16 to convey forwards, and the floor 17 to be detected on the conveyor belt 16 also moves forwards. The photoelectric sensor 7 detects in real time to judge whether the detected floor 17 reaches the detection range of the industrial camera, the motor control module 10 continuously receives the signal of the photoelectric sensor 7, and if the photoelectric sensor 7 detects the detected floor 17, the stepping motor module 8 is driven to control the transmission belt 16 to stop conveying, and the transmission belt is fed back to the host computer 12. The computer host 12 controls other modules to finish flaw detection; when the computer host 12 sends out a continuous conveying instruction after the detection is finished, the motor control module 10 receives the continuous conveying instruction of the computer host 2, drives the stepping motor module 8 to control the conveying belt 16 to convey the detected floor 17 forwards for n distances, stops conveying, conveys the next area to be detected of the detected floor 17 to a detection range, and feeds back the detection range to the computer host 2, wherein n represents the maximum length of the camera in one shooting in the conveying direction. Until the photoelectric sensor 7 cannot detect the detected floor 17, the floor product is detected, the stepping motor module 8 is driven to control the conveyer belt 16 to convey forwards, and the next floor is conveyed to the position of the photoelectric sensor 7 to stop and then the detection of the next floor is started. The logic diagram of the control program of the light source control module 12 is shown in fig. 4. When the light source control module 12 receives the computer instruction to turn on the light source, the first light source is turned on and is delayed for t2 seconds. Turning off the first light source, turning on the second light source and delaying for t2 seconds. The second light source is turned off, the third light source is turned on, and the time is delayed for t2 seconds. And turning off the third light source, turning on the fourth light source and delaying for t2 seconds. And turning off the fourth light source. Then, waiting for the light source instruction of the host computer to start again, and running the next cycle. The setting of t1 and t2 should ensure that the corresponding light source is in an on state when the industrial camera collects images.
The utility model can realize the on-line flaw detection, positioning and data management of the bamboo-wood floor. Through the automation and intelligent technology of the system, detection, positioning and data management of defects on the floor surface such as holes, vertical cracks, transverse grooves, vertical grooves and the like can be realized. Compared with the original manual naked eye spot inspection in China, the method has great advantages in the aspects of detection integrity, detection efficiency, detection quality stability, detection standard consistency and the like, and the detection quality and the detection efficiency of the bamboo and wood floor surface flaw detection are improved.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary or exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present utility model.
Claims (9)
1. The online detection system for the surface flaws of the bamboo and wood floor is characterized by comprising a machine vision detection box body (1), an industrial camera and a lens (2), a first light source (3), a second light source (4), a third light source (5), a fourth light source (6), a photoelectric sensor (7), a stepping motor module (8), a power supply module (9), a motor control module (10), a light source control module (11), a transmission belt (16) and a flaw detection module; the power supply module (9) is respectively connected with the stepping motor module (8), the motor control module (10), the light source control module (11) and the flaw detection module for supplying power; the motor control module (10) is connected with the stepping motor module (8) and the photoelectric sensor (7); an output shaft of the stepping motor module (8) is connected with the transmission belt (16); the light source control module (11) is connected with the first light source (3), the second light source (4), the third light source (5) and the fourth light source (6) and controls the first light source (3), the second light source (4), the third light source (5) and the fourth light source (6) to be turned off and on; the industrial camera and lens (2), the first light source (3), the second light source (4), the third light source (5), the fourth light source (6) and the photoelectric sensor (7) are all arranged in the machine vision detection box (1) and are positioned above the transmission belt (16), wherein the first light source (3), the second light source (4), the third light source (5) and the fourth light source (6) are respectively positioned at four directions of the industrial camera and lens (2); the flaw detection module is connected with the industrial camera and the lens (2), receives images acquired by the industrial camera and the lens (2) and performs flaw detection.
2. The on-line flaw detection system for the bamboo and wood floor surface according to claim 1, further comprising a computer host (12) and a display screen (13), wherein the computer host (12) is connected with the motor control module (10), the industrial camera and lens (2) and the light source control module (11), the flaw detection module is integrated in the computer host (12), and the display screen (13) is used for displaying the detection result of the flaw detection module in real time.
3. The on-line detection system for surface flaws of bamboo and wood floors according to claim 2, wherein the computer host (12) is used for obtaining the visual images of the bamboo and wood floors shot by the computer host through communication between a USB data line and an industrial camera and a lens (2).
4. The on-line detection system for surface flaws of bamboo and wood floors according to claim 2, further comprising a computer host (12) for data communication with the motor control module (10) through a USB-to-RS 485 module.
5. The online detection system of the surface flaws of the bamboo and wood floor according to claim 2, wherein the computer host (12) performs data communication with the light source control module (11) through a USB-to-RS 485 module.
6. The on-line detection system for surface flaws of bamboo and wood floors according to claim 1 is characterized in that the first light source (3), the second light source (4), the third light source (5) and the fourth light source (6) are LED light sources and direct light to projection points of cameras on the detected floors (17) at an angle of 45 degrees.
7. The on-line detection system for surface flaws of bamboo and wood floors according to claim 1, wherein the machine vision detection box (1) is an opaque box.
8. The on-line detection system for surface flaws of bamboo and wood floors according to claim 1, further comprising a carrying platform (15) for placing a conveyor belt (16).
9. The on-line detection system for surface flaws of bamboo and wood floors according to claim 1, further comprising a control cabinet (14) for placing a stepping motor module (8), a power supply module (9), a motor control module (10) and a light source control module (11).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320208749.XU CN219891105U (en) | 2023-02-14 | 2023-02-14 | Online detection system for surface flaws of bamboo floor |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202320208749.XU CN219891105U (en) | 2023-02-14 | 2023-02-14 | Online detection system for surface flaws of bamboo floor |
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| CN219891105U true CN219891105U (en) | 2023-10-24 |
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| CN202320208749.XU Active CN219891105U (en) | 2023-02-14 | 2023-02-14 | Online detection system for surface flaws of bamboo floor |
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- 2023-02-14 CN CN202320208749.XU patent/CN219891105U/en active Active
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