CN111830052A - Flaw detection system for hollow brick - Google Patents
Flaw detection system for hollow brick Download PDFInfo
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- CN111830052A CN111830052A CN202010485252.3A CN202010485252A CN111830052A CN 111830052 A CN111830052 A CN 111830052A CN 202010485252 A CN202010485252 A CN 202010485252A CN 111830052 A CN111830052 A CN 111830052A
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- 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
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8914—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the material examined
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- 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
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8901—Optical details; Scanning details
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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- 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
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/8901—Optical details; Scanning details
- G01N2021/8908—Strip illuminator, e.g. light tube
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
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Abstract
One or more embodiments of the present disclosure provide a flaw detection system for an air brick, which relates to the technical field of air brick detection, and the system includes: the automatic feeding device comprises a conveying belt, a workbench is arranged on the side face of the conveying belt, an industrial control host, a seven-axis mechanical arm and a material taking manipulator are arranged on the workbench, a flaw detector and a position sensor are mounted at the tail end of the seven-axis mechanical arm, flaws on the surface of a hollow brick are detected through the flaw detector, the position of the hollow brick is determined through the position sensor, the industrial control host receives information transmitted by the flaw detector and the position sensor, the material taking manipulator is controlled to move after the information is processed, the hollow brick with flaws is taken out of the conveying belt, and meanwhile, an industrial display is mounted on the side wall of the workbench to display the detected flaw information; the invention has simple integral structure, can realize the detection and display of the flaws on the surface of the hollow brick in the production flow of the hollow brick, and improves the efficiency and the quality of the production process of the hollow brick.
Description
Technical Field
One or more embodiments of the present description relate to the field of air brick detection technology, and more particularly, to a flaw detection system for an air brick.
Background
The hollow brick is a building brick body which is made of clay, shale and the like as main raw materials, has light weight, less consumption of raw materials, high strength, heat preservation, sound insulation, noise reduction and other performances, is environment-friendly and pollution-free, and gradually becomes a first recommended product for national building departments and the like.
In the prior art, the preparation devices with corresponding specifications are adopted for preparing the hollow bricks for batch production, the prepared hollow bricks have the same structure and size and the quality is close to that of the hollow bricks. However, due to mass production, the quality of the hollow bricks is difficult to ensure one by one, and due to the influence of factors such as production process, raw materials and environment, cracks, gaps and other defects are easy to appear on the surfaces of some hollow bricks, the quality of the defective hollow bricks cannot reach the standard for construction, and once the hollow bricks enter the market, the hollow bricks are easy to cause inestimable harm. Therefore, in order to detect the surface flaws of the hollow bricks in the mass production process, it is an urgent technical problem to be solved by those skilled in the art to provide a flaw detection system for the hollow bricks.
Disclosure of Invention
In view of the above, an object of one or more embodiments of the present disclosure is to provide a defect detecting system for a hollow brick, so as to solve the problem that it is difficult to detect defects on the surface of the hollow brick in the production process of the hollow brick.
In view of the above, one or more embodiments of the present disclosure provide a defect detection system for a hollow block, the system comprising:
the conveying belt is used for conveying the hollow bricks;
a workbench is arranged on the side surface of the conveyor belt, an industrial control host, seven mechanical arms and a material taking manipulator are fixedly arranged on the workbench, and the seven mechanical arms and the material taking manipulator are respectively connected with the industrial control host;
a flaw detector and a position sensor are fixedly arranged at the tail end of the seven-axis mechanical arm; the industrial control host is respectively connected with the flaw detector and the position sensor;
the flaw detector is used for detecting flaws of the hollow brick; the position sensor is used for carrying out infrared monitoring on the hollow brick and determining the position of the hollow brick on the conveyor belt;
an industrial display is fixedly installed on the side wall of the workbench and connected with the industrial control host machine for displaying detected flaw information;
the material taking manipulator is used for taking out the hollow bricks with the defects from the conveyor belt; the seven mechanical arms are used for respectively driving the flaw detector and the position sensor to move above the conveyor belt;
the industrial control host is used for controlling the seven-axis mechanical arm to move, simultaneously respectively receiving the information transmitted by the flaw detector and the position sensor, and controlling the material taking mechanical arm to move after processing the information.
Preferably, the defect detector includes: the device comprises a compensation light source and an industrial CCD camera, wherein the compensation light source is used for providing multidirectional illumination for the hollow brick, and the industrial CCD camera is used for photographing the hollow brick to obtain image information.
Preferably, the flaw detector is used for detecting flaws of the hollow brick, and comprises:
the flaw detector is driven by a seven-shaft mechanical arm to take pictures of the upper surface and the four side surfaces of the hollow brick respectively.
Preferably, the industrial personal computer processes the information, including:
setting a neural network model in the industrial control host, and training the neural network model; the industrial control host receives the image information transmitted by the flaw detector, inputs the image information into the trained neural network model for processing and analysis, and judges whether the image information contains flaw information or not; when the image information contains flaw information, the industrial control host controls the material taking manipulator to move according to the position of the hollow brick determined by the position sensor, and the hollow brick containing the flaw information is taken out from the conveying belt; when the image information does not include the defect information, the material taking manipulator does not move.
Preferably, the training of the neural network model includes:
presetting a neural network model, initial parameters and a threshold value; inputting the image information of the surface of the hollow brick with the flaw information into a neural network model to obtain a flaw prediction result, comparing the flaw prediction result with the real flaw information of the surface of the hollow brick to obtain a difference value, comparing the difference value with a threshold value, updating the parameters of the neural network model when the difference value is greater than the threshold value until the difference value is less than the threshold value, and obtaining the trained neural network model.
Preferably, the defect information includes: flaw type and flaw size on the surface of the hollow brick.
Preferably, the method further comprises the step of fixedly mounting a high-speed camera at the tail end of the seven-axis mechanical arm, wherein the high-speed camera is connected with the industrial control host; the high-speed camera is used for shooting high-frame-rate high-definition videos of the defective hollow bricks and transmitting the shot videos to the industrial control host for processing.
Preferably, the processing of the video shot by the high-speed camera by the industrial host computer includes:
and performing characteristic enhancement on the video, performing digital-to-analog conversion processing, detecting and marking the flaw by adopting a multi-mode self-adaptive flaw detection method, determining the position of the flaw on the surface of the hollow brick, and transmitting the position to an industrial display for video display.
Preferably, the system further comprises a monitoring background, wherein the monitoring background is wirelessly connected with the industrial control host and is used for receiving flaw information wirelessly transmitted by the industrial control host and establishing a flaw database according to the flaw information.
Preferably, an input keyboard and a mouse are fixedly installed on one side of the industrial display, and the input keyboard and the mouse are connected with the industrial control host and used for inputting information from the outside so as to selectively display the defect information displayed in the industrial display.
As can be seen from the above, in the defect detection system for the hollow bricks provided in one or more embodiments of the present disclosure, a workbench is disposed on a side surface of a conveyor belt for conveying the hollow bricks, an industrial control host, a seven-axis robot and a material taking manipulator are disposed on the workbench, a defect detector and a position sensor are mounted at an end of the seven-axis robot, a defect on a surface of the hollow brick is detected by the defect detector, a position of the hollow brick is determined by the position sensor, the industrial control host receives information transmitted by the defect detector and the position sensor, controls the material taking manipulator to move after processing the information, takes out the hollow brick with a defect from the conveyor belt, and simultaneously mounts an industrial display on a side wall of the workbench to display the detected defect information; the invention has simple integral structure, can realize the detection and display of the flaws on the surface of the hollow brick in the production flow of the hollow brick, and improves the efficiency and the quality of the production process of the hollow brick.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
FIG. 1 is a schematic view of a system connection of a portion of a fault detection system for a hollow block according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
FIG. 1 is a schematic diagram of a system connection of a portion of a fault detection system for a hollow block according to one or more embodiments of the present disclosure; the present specification provides a flaw detection system for a hollow brick, the system comprising:
and the conveying belt is used for conveying the hollow bricks.
The side of conveyer belt sets up the workstation fixed mounting industrial control host computer, seven arms and reclaimer manipulator on the workstation, seven arms and reclaimer manipulator respectively with the industrial control host computer is connected.
A flaw detector and a position sensor are fixedly arranged at the tail end of the seven-axis mechanical arm; and the industrial control host is respectively connected with the flaw detector and the position sensor.
The flaw detector is used for detecting flaws of the hollow brick; the position sensor is used for carrying out infrared monitoring on the hollow brick and determining the position of the hollow brick on the conveyor belt.
And an industrial display is fixedly arranged on the side wall of the workbench and connected with the industrial control host machine for displaying the detected flaw information.
The material taking manipulator is used for taking out the hollow bricks with the defects from the conveyor belt; the seven mechanical arms are used for respectively driving the flaw detector and the position sensor to move above the conveyor belt.
The industrial control host is used for controlling the seven-axis mechanical arm to move, simultaneously respectively receiving the information transmitted by the flaw detector and the position sensor, and controlling the material taking mechanical arm to move after processing the information.
According to the flaw detection system for the hollow bricks, the workbench is arranged on the side face of the conveying belt for conveying the hollow bricks, the industrial control host, the seven-shaft mechanical arm and the material taking manipulator are arranged on the workbench, the flaw detector and the position sensor are installed at the tail ends of the seven-shaft mechanical arm, flaws on the surfaces of the hollow bricks are detected through the flaw detector, the positions of the hollow bricks are determined through the position sensor, the industrial control host receives information transmitted by the flaw detector and the position sensor, the material taking manipulator is controlled to move after the information is processed, the hollow bricks with flaws are taken out of the conveying belt, the industrial display is installed on the side wall of the workbench, and the detected flaw information is displayed; the invention has simple integral structure, can realize the detection and display of the flaws on the surface of the hollow brick in the production flow of the hollow brick, and improves the efficiency and the quality of the production process of the hollow brick.
Embodiments of the present disclosure also provide a flaw detection system for a hollow brick, the system including:
and the conveying belt is used for conveying the hollow bricks.
The side of conveyer belt sets up the workstation fixed mounting industrial control host computer, seven arms and reclaimer manipulator on the workstation, seven arms and reclaimer manipulator respectively with the industrial control host computer is connected.
A flaw detector and a position sensor are fixedly arranged at the tail end of the seven-axis mechanical arm; and the industrial control host is respectively connected with the flaw detector and the position sensor.
The flaw detector is used for detecting flaws of the hollow brick; the position sensor is used for carrying out infrared monitoring on the hollow brick and determining the position of the hollow brick on the conveyor belt.
And an industrial display is fixedly arranged on the side wall of the workbench and connected with the industrial control host machine for displaying the detected flaw information.
The material taking manipulator is used for taking out the hollow bricks with the defects from the conveyor belt; the seven mechanical arms are used for respectively driving the flaw detector and the position sensor to move above the conveyor belt.
The industrial control host is used for controlling the seven-axis mechanical arm to move, simultaneously respectively receiving the information transmitted by the flaw detector and the position sensor, and controlling the material taking mechanical arm to move after processing the information.
Wherein, flaw detector includes: the device comprises a compensation light source and an industrial CCD camera, wherein the compensation light source is used for providing multidirectional illumination for the hollow brick, and the industrial CCD camera is used for photographing the hollow brick to obtain image information.
Wherein, the flaw detector is used for carrying out the flaw detection to hollow brick, includes:
the flaw detector is driven by a seven-shaft mechanical arm to take pictures of the upper surface and the four side surfaces of the hollow brick respectively.
Wherein, industrial control host computer is handled information, includes:
setting a neural network model in the industrial control host, and training the neural network model; the industrial control host receives the image information transmitted by the flaw detector, inputs the image information into the trained neural network model for processing and analysis, and judges whether the image information contains flaw information or not; when the image information contains flaw information, the industrial control host controls the material taking manipulator to move according to the position of the hollow brick determined by the position sensor, and the hollow brick containing the flaw information is taken out from the conveying belt; when the image information does not include the defect information, the material taking manipulator does not move.
Wherein the training of the neural network model comprises:
presetting a neural network model, initial parameters and a threshold value; inputting the image information of the surface of the hollow brick with the flaw information into a neural network model to obtain a flaw prediction result, comparing the flaw prediction result with the real flaw information of the surface of the hollow brick to obtain a difference value, comparing the difference value with a threshold value, updating the parameters of the neural network model when the difference value is greater than the threshold value until the difference value is less than the threshold value, and obtaining the trained neural network model.
Wherein the defect information includes: flaw type and flaw size on the surface of the hollow brick.
The industrial control system comprises a seven-axis mechanical arm, an industrial control host and a high-speed camera, wherein the seven-axis mechanical arm is fixedly provided with the high-speed camera at the tail end, and the high-speed camera is connected with the industrial control host; the high-speed camera is used for shooting high-frame-rate high-definition videos of the defective hollow bricks and transmitting the shot videos to the industrial control host for processing.
Wherein, the industrial control host computer is handled the video that high-speed camera was shot, includes:
and performing characteristic enhancement on the video, performing digital-to-analog conversion processing, detecting and marking the flaw by adopting a multi-mode self-adaptive flaw detection method, determining the position of the flaw on the surface of the hollow brick, and transmitting the position to an industrial display for video display.
The system further comprises a monitoring background, wherein the monitoring background is in wireless connection with the industrial control host and is used for receiving flaw information wirelessly transmitted by the industrial control host and establishing a flaw database according to the flaw information.
And the input keyboard and the mouse are fixedly arranged on one side of the industrial display and are connected with the industrial control host for inputting information externally so as to selectively display the flaw information displayed in the industrial display.
According to the flaw detection system for the hollow bricks, the workbench is arranged on the side face of the conveying belt for conveying the hollow bricks, the industrial control host, the seven-shaft mechanical arm and the material taking manipulator are arranged on the workbench, the flaw detector and the position sensor are installed at the tail ends of the seven-shaft mechanical arm, flaws on the surfaces of the hollow bricks are detected through the flaw detector, the positions of the hollow bricks are determined through the position sensor, the industrial control host receives information transmitted by the flaw detector and the position sensor, the material taking manipulator is controlled to move after the information is processed, the hollow bricks with flaws are taken out of the conveying belt, the industrial display is installed on the side wall of the workbench, and the detected flaw information is displayed; the invention has simple integral structure, can realize the detection and display of the flaws on the surface of the hollow brick in the production flow of the hollow brick, and improves the efficiency and the quality of the production process of the hollow brick.
When the flaw detection system for the hollow bricks is used, the produced hollow bricks are sequentially conveyed through the conveying belt, the workbench is arranged on the side face of the conveying belt, the industrial control host, the seven-shaft mechanical arm and the material taking manipulator are arranged on the workbench, a flaw detector and a position sensor are mounted at the tail end of the seven-shaft mechanical arm, the initial position of the seven-shaft mechanical arm is located above the conveying belt, the hollow bricks conveyed on the conveying belt sequentially pass below the seven-shaft mechanical arm, the industrial control host controls the seven-shaft mechanical arm to move, the movement range and the variability of the seven-shaft mechanical arm are strong, and the flaw detection system can be better applied to driving the tail end instrument to move; the movement speed is set by the industrial control host and is generally higher than the conveying speed of the conveying belt, so that the hollow brick to be detected is ensured not to leave the maximum extension range of the seven-axis mechanical arm in a period that the seven-axis mechanical arm drives a tail end instrument to surround the periphery and the upper surface of the hollow brick to be detected; the industrial control host machine detects flaws on the upper surface and four side surfaces of the hollow brick by controlling the flaw detector, determines the position of the detected hollow brick by controlling the position sensor, receives the image information transmitted by the flaw detector and the position information transmitted by the position sensor, processes the image information, judges whether the surface of the detected hollow brick has flaws, and the general flaws are cracks; the system provided by the invention can quickly and simply detect the outer surface of the hollow brick conveyed on the conveyor belt to a greater extent, avoids the quality problem caused by flaws such as cracks on the outer surface, has a simple structure, is easy to realize, can simply detect the surface flaws of the produced hollow brick, ensures that the surface of the hollow brick has no obvious flaws such as cracks, and influences the quality of the hollow brick.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (10)
1. A flaw detection system for a hollow block, the system comprising:
the conveying belt is used for conveying the hollow bricks;
a workbench is arranged on the side surface of the conveyor belt, an industrial control host, seven mechanical arms and a material taking manipulator are fixedly arranged on the workbench, and the seven mechanical arms and the material taking manipulator are respectively connected with the industrial control host;
a flaw detector and a position sensor are fixedly arranged at the tail end of the seven-axis mechanical arm; the industrial control host is respectively connected with the flaw detector and the position sensor;
the flaw detector is used for detecting flaws of the hollow brick; the position sensor is used for carrying out infrared monitoring on the hollow brick and determining the position of the hollow brick on the conveyor belt;
an industrial display is fixedly installed on the side wall of the workbench and connected with the industrial control host machine for displaying detected flaw information;
the material taking manipulator is used for taking out the hollow bricks with the defects from the conveyor belt; the seven mechanical arms are used for respectively driving the flaw detector and the position sensor to move above the conveyor belt;
the industrial control host is used for controlling the seven-axis mechanical arm to move, simultaneously respectively receiving the information transmitted by the flaw detector and the position sensor, and controlling the material taking mechanical arm to move after processing the information.
2. A defect detection system for a hollow block as claimed in claim 1, wherein said defect detector comprises: the device comprises a compensation light source and an industrial CCD camera, wherein the compensation light source is used for providing multidirectional illumination for the hollow brick, and the industrial CCD camera is used for photographing the hollow brick to obtain image information.
3. A defect detection system for a hollow block as claimed in claim 2, wherein said defect detector is adapted to detect defects in a hollow block, comprising:
the flaw detector is driven by a seven-shaft mechanical arm to take pictures of the upper surface and the four side surfaces of the hollow brick respectively.
4. A defect detection system for a hollow block as claimed in claim 3, wherein the industrial control host processes information including:
setting a neural network model in the industrial control host, and training the neural network model; the industrial control host receives the image information transmitted by the flaw detector, inputs the image information into the trained neural network model for processing and analysis, and judges whether the image information contains flaw information or not; when the image information contains flaw information, the industrial control host controls the material taking manipulator to move according to the position of the hollow brick determined by the position sensor, and the hollow brick containing the flaw information is taken out from the conveying belt; when the image information does not include the defect information, the material taking manipulator does not move.
5. The defect detection system for air bricks of claim 4, wherein the training of the neural network model comprises:
presetting a neural network model, initial parameters and a threshold value; inputting the image information of the surface of the hollow brick with the flaw information into a neural network model to obtain a flaw prediction result, comparing the flaw prediction result with the real flaw information of the surface of the hollow brick to obtain a difference value, comparing the difference value with a threshold value, updating the parameters of the neural network model when the difference value is greater than the threshold value until the difference value is less than the threshold value, and obtaining the trained neural network model.
6. A defect detection system for a hollow block as claimed in claim 5, wherein said defect information includes: flaw type and flaw size on the surface of the hollow brick.
7. The system of claim 6, further comprising a high speed camera fixedly mounted to the end of the seven-axis robot arm, the high speed camera being connected to the industrial mainframe; the high-speed camera is used for shooting high-frame-rate high-definition videos of the defective hollow bricks and transmitting the shot videos to the industrial control host for processing.
8. A defect detection system for a hollow brick as claimed in claim 7 wherein the processing of the video taken by the high speed camera by the industrial host computer comprises:
and performing characteristic enhancement on the video, performing digital-to-analog conversion processing, detecting and marking the flaw by adopting a multi-mode self-adaptive flaw detection method, determining the position of the flaw on the surface of the hollow brick, and transmitting the position to an industrial display for video display.
9. The defect detection system for hollow bricks according to claim 8, further comprising a monitoring background, wherein the monitoring background is wirelessly connected to the industrial control host, and is configured to receive defect information wirelessly transmitted by the industrial control host and establish a defect database according to the defect information.
10. The defect detecting system for air bricks as claimed in claim 9, wherein an input keyboard and a mouse are fixedly installed at one side of the industrial display, and the input keyboard and the mouse are connected with the industrial control host for inputting information externally so as to selectively display the defect information displayed in the industrial display.
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| CN202010485252.3A CN111830052A (en) | 2020-06-01 | 2020-06-01 | Flaw detection system for hollow brick |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627435A (en) * | 2021-07-13 | 2021-11-09 | 南京大学 | Method and system for detecting and identifying flaws of ceramic tiles |
| CN113863565A (en) * | 2021-10-27 | 2021-12-31 | 河南建筑材料研究设计院有限责任公司 | Waste soil recycling heat preservation brick and production device thereof |
| CN115302196A (en) * | 2022-07-29 | 2022-11-08 | 广东省科学院智能制造研究所 | Automatic punching and edge cutting production and detection equipment and method for bathtub |
| CN119841093A (en) * | 2025-03-19 | 2025-04-18 | 深圳市优土科技有限公司 | Manipulator and belt conveying cooperative control system for building block processing |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009014357A (en) * | 2007-06-29 | 2009-01-22 | Kanto Auto Works Ltd | Surface inspection device and surface inspection method |
| CN103234980A (en) * | 2012-08-20 | 2013-08-07 | 苏州大学 | Online fabric flaw detection and alarm system based on machine vision |
| CN104923492A (en) * | 2015-06-11 | 2015-09-23 | 江苏大学 | Non-contact lens defect sorting device |
| CN106334678A (en) * | 2016-08-31 | 2017-01-18 | 吴正明 | Flexible production line based on visual inspection |
| CN106378315A (en) * | 2016-08-30 | 2017-02-08 | 吴正明 | Flexible production line |
| CN107389686A (en) * | 2017-06-08 | 2017-11-24 | 深圳市智能机器人研究院 | A kind of detection robot system and its detection method for locomotive bottom |
| CN109490330A (en) * | 2018-12-31 | 2019-03-19 | 沈峥 | A kind of lens defects detection device |
| CN109752388A (en) * | 2017-11-01 | 2019-05-14 | 湖南海擎智能科技有限责任公司 | Assembly line glass flaws detect sorter |
| CN110827244A (en) * | 2019-10-28 | 2020-02-21 | 上海悦易网络信息技术有限公司 | Method and equipment for detecting appearance flaws of electronic equipment |
| CN210514123U (en) * | 2019-09-19 | 2020-05-12 | 重庆庆图光电有限公司 | Three-dimensional AOI detects machine |
-
2020
- 2020-06-01 CN CN202010485252.3A patent/CN111830052A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009014357A (en) * | 2007-06-29 | 2009-01-22 | Kanto Auto Works Ltd | Surface inspection device and surface inspection method |
| CN103234980A (en) * | 2012-08-20 | 2013-08-07 | 苏州大学 | Online fabric flaw detection and alarm system based on machine vision |
| CN104923492A (en) * | 2015-06-11 | 2015-09-23 | 江苏大学 | Non-contact lens defect sorting device |
| CN106378315A (en) * | 2016-08-30 | 2017-02-08 | 吴正明 | Flexible production line |
| CN106334678A (en) * | 2016-08-31 | 2017-01-18 | 吴正明 | Flexible production line based on visual inspection |
| CN107389686A (en) * | 2017-06-08 | 2017-11-24 | 深圳市智能机器人研究院 | A kind of detection robot system and its detection method for locomotive bottom |
| CN109752388A (en) * | 2017-11-01 | 2019-05-14 | 湖南海擎智能科技有限责任公司 | Assembly line glass flaws detect sorter |
| CN109490330A (en) * | 2018-12-31 | 2019-03-19 | 沈峥 | A kind of lens defects detection device |
| CN210514123U (en) * | 2019-09-19 | 2020-05-12 | 重庆庆图光电有限公司 | Three-dimensional AOI detects machine |
| CN110827244A (en) * | 2019-10-28 | 2020-02-21 | 上海悦易网络信息技术有限公司 | Method and equipment for detecting appearance flaws of electronic equipment |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113627435A (en) * | 2021-07-13 | 2021-11-09 | 南京大学 | Method and system for detecting and identifying flaws of ceramic tiles |
| CN113863565A (en) * | 2021-10-27 | 2021-12-31 | 河南建筑材料研究设计院有限责任公司 | Waste soil recycling heat preservation brick and production device thereof |
| CN115302196A (en) * | 2022-07-29 | 2022-11-08 | 广东省科学院智能制造研究所 | Automatic punching and edge cutting production and detection equipment and method for bathtub |
| CN119841093A (en) * | 2025-03-19 | 2025-04-18 | 深圳市优土科技有限公司 | Manipulator and belt conveying cooperative control system for building block processing |
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