CN114923913A - Production defect detection system and method - Google Patents
Production defect detection system and method Download PDFInfo
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- CN114923913A CN114923913A CN202210514815.6A CN202210514815A CN114923913A CN 114923913 A CN114923913 A CN 114923913A CN 202210514815 A CN202210514815 A CN 202210514815A CN 114923913 A CN114923913 A CN 114923913A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The present application provides a production defect detection system and method, wherein the system comprises: image acquisition device and industrial computer, image acquisition device includes: the industrial personal computer is used for carrying out point cloud scanning on the component to be detected based on the operating instruction, constructing a three-dimensional image based on point cloud data obtained by scanning, and sending the three-dimensional image to the industrial personal computer through the communication unit, and the industrial personal computer is used for carrying out defect detection on the component to be detected according to the three-dimensional image and a preset three-dimensional image of the component to be detected. Through the automatic collection of the three-dimensional image of the member to be detected, the industrial personal computer detects the defect of the member to be detected according to the three-dimensional image and the preset three-dimensional image, so that the manual operation is reduced, the labor cost is saved, and the detection efficiency and the detection accuracy are improved.
Description
Technical Field
The application relates to the technical field of machinery, in particular to a production defect detection system and a production defect detection method.
Background
In a prefabricated part production line, the process quality control and tracking are particularly important, wherein hidden inspection is an important link of the production of a laminated slab, wherein the laminated slab is an assembled integral floor slab formed by laminating prefabricated parts and cast-in-place reinforced concrete layers.
At present, often adopt the cell-phone to shoot the component, whether there is the defect in the manual check contrast, however, need stand the eminence and just can shoot whole component, it is different to shoot the visual angle at every turn, shoots the effect and can't guarantee to the manual check contrast, consuming time and power easily makes mistakes.
Disclosure of Invention
In view of this, the embodiment of the present application provides a production defect detection system and method, so as to solve the problems of time and labor consumption and easy error caused by manual inspection in the prior art.
In a first aspect, an embodiment of the present application provides a production defect detecting system, including: image acquisition device and industrial computer, image acquisition device includes: the device comprises a die table, a line scanning camera and a communication unit, wherein a component to be detected is arranged on the die table, and the image acquisition device is in communication connection with the industrial personal computer through the communication unit;
the industrial personal computer is used for sending an operation instruction to the image acquisition device;
the image acquisition device is used for controlling the line scanning camera to carry out point cloud scanning on the component to be detected based on the operation instruction, constructing a three-dimensional image based on point cloud data obtained by scanning, and sending the three-dimensional image to the industrial personal computer through the communication unit;
the industrial personal computer is used for detecting the defects of the component to be detected according to the three-dimensional image and the preset three-dimensional image of the component to be detected.
In an optional embodiment, the image capturing apparatus further comprises: the line scanning camera is arranged on a fixed part of the portal frame.
In an optional embodiment, the image capturing apparatus further comprises: the moving part of the portal frame is matched with the moving track;
the image acquisition device is used for controlling the portal frame to move along the moving track based on the operation instruction so as to enable the line scanning camera to move to a shooting position corresponding to the component to be detected for point cloud scanning.
In an optional embodiment, the image capturing apparatus further comprises: the die comprises a die for a component to be detected, wherein the component to be detected is arranged in the die, and the die is arranged on the die table;
the industrial personal computer is also used for sending a control instruction to the image acquisition device if the defect detection result indicates that the member to be detected has no defects;
and the image acquisition device is used for controlling the movement of the mould platform based on the control instruction.
In an optional embodiment, the industrial personal computer is specifically configured to extract an image feature of the three-dimensional image and an image feature of the preset three-dimensional image; and comparing the image characteristics of the three-dimensional image with the image characteristics of the preset three-dimensional image to obtain a defect detection result of the component to be detected.
In an optional embodiment, the industrial personal computer is further configured to perform image preprocessing on the three-dimensional image, where the image preprocessing includes: and denoising and sharpening the image.
In an optional embodiment, the industrial personal computer comprises: and the industrial personal computer is also used for marking the defect position of the component to be detected and controlling the display screen to display defect information.
In an optional embodiment, the industrial personal computer further includes: and the industrial personal computer is also used for controlling the alarm to play prompt information so as to prompt manual operation on the defective part.
In an optional implementation manner, the industrial personal computer is further configured to perform structured storage on the structural data of the member to be detected if the defect detection result indicates that the member to be detected does not have a defect.
In a second aspect, another embodiment of the present application provides a production defect detection method, which is applied to an industrial personal computer in the production defect detection system of any one of the first aspect, and the method includes:
sending an operation instruction to the image acquisition device;
receiving a three-dimensional image sent by the image acquisition device based on the operation instruction, wherein the three-dimensional image is obtained by controlling a line scanning camera to perform point cloud scanning on a component to be detected by the image acquisition device, and the point cloud data obtained by scanning is constructed and acquired;
and carrying out defect detection on the member to be detected according to the three-dimensional image and the preset three-dimensional image of the member to be detected.
The embodiment of the application provides a production defect detection system and a method, wherein the system comprises: image acquisition device and industrial computer, image acquisition device includes: the industrial personal computer is used for carrying out defect detection on the component to be detected according to the three-dimensional image and a preset three-dimensional image of the component to be detected. Through the automatic collection treat the three-dimensional image of detecting the component, the industrial computer detects the component and detects the defect according to three-dimensional image and predetermine the three-dimensional image, has reduced manual operation, has saved the cost of labor to detection efficiency and degree of accuracy have been improved.
In order to make the aforementioned objects, features and advantages of the present application comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a first schematic structural diagram of a production defect detection system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a production defect detection system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a production defect detection system provided in an embodiment of the present application;
FIG. 4 is a schematic diagram of a specific manufacturing defect detection system according to an embodiment of the present disclosure;
fig. 5 is a schematic flowchart of a production defect detection method according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The prefabricated part: steel, wood or concrete members prefabricated in a factory or on site according to design specifications.
Laminated plate: the assembled integral floor slab is formed by overlapping prefabricated components and cast-in-situ reinforced concrete layers.
At present, in a Concrete Precast member (PC member) production line, the following defects exist in the concealed inspection of a laminated plate:
(1) the measurement of the steel bar mesh steel bar interval, the truss bar placing interval and the embedded part placing position depends on manual work, a measuring tape is usually selected by a measuring tool, the measurement precision is poor, and the error is even more than 10 mm.
(2) The actual size is compared with the drawing and depends on manual work, omission is easy to occur, the comparison process cannot be recorded, time and labor are consumed, and mistakes are easy to occur.
(3) The concealed inspection evidence only has a photographing mode, and the later period tracing can only judge whether the evidence exists or not through photos and cannot measure the evidence.
In order to solve the defects, the application provides a production defect detection system, which can reduce manual operation, quality inspectors on an operation site and labor cost; the detection accuracy is improved, and false detection or missing detection caused by improper measurement tools or personnel states is avoided; and the structural data is structurally stored, so that the rapid retrieval is facilitated.
The production defect detection system of the present application will be described with reference to several embodiments.
Fig. 1 is a schematic structural diagram of a first production defect detection system according to an embodiment of the present disclosure, and as shown in fig. 1, the system includes: an image acquisition device 10 and an industrial personal computer 20.
Wherein, image acquisition device 10 includes: the device comprises a mould table 101, a line scanning camera 102 and a communication unit 103, wherein a component 30 to be detected is arranged on the mould table 101, and an image acquisition device 10 is in communication connection with an industrial personal computer 20 through the communication unit 103.
The industrial personal computer 20 is used for sending an operation instruction to the image acquisition device 10.
The image acquisition device 10 is configured to control the line scan camera 102 to perform point cloud scanning on the component 30 to be detected based on the operation instruction, construct a three-dimensional image based on point cloud data obtained by the scanning, and send the three-dimensional image to the industrial personal computer 20 through the communication unit 103.
The member 30 to be detected may be a prefabricated member to be detected, such as a prefabricated member forming a composite slab, including but not limited to a steel mesh, a truss rib, an embedded part, and the like.
The module 101 can be for placing the detection platform of waiting to detect component 30, and line sweep camera 102 can be for adopting linear array image sensor's camera, and this embodiment can adopt arbitrary line sweep camera 102 to treat that detect component 30 carries out the point cloud scanning, and communication unit 103 can be wireless communication unit, like 5G communication unit, image acquisition device 10 can pass through communication unit 103 and industrial computer 20 communication connection, like this, the pencil frequently moves when having avoided wired connection and leads to the ageing inefficacy scheduling problem of pencil.
The industrial personal Computer 20 may be installed with a production management system, in which a layout drawing of a component, such as a Computer Aided Design (CAD) drawing, is stored, reference structure data of the component 30 to be detected is obtained from the CAD drawing, and a preset three-dimensional image of the component 30 to be detected is formed according to the reference structure data, where the reference structure data is structure data of the component 30 to be detected without defects, and the component to be detected included in the preset three-dimensional image based on the reference structure data does not have defects.
When the industrial personal computer 20 searches the CAD drawing from the production management system, the corresponding CAD drawing in the production management system may be automatically extracted according to the mapping relationship between the serial number of the member 30 to be detected and the CAD drawing, reference structure data of the member 30 to be detected, such as information of specification and spacing of the steel bar, is extracted from the drawing, and a preset three-dimensional image of the member to be detected is constructed based on the reference structure data.
In a defect detection process, the production defect detection system can be arranged at a defect detection station, the component 30 to be detected is arranged on a mold platform 101, the industrial personal computer 20 can be triggered to send an operation instruction to the image acquisition device 10, the image acquisition device 10 responds to the control instruction, the control line scanning camera 102 carries out point cloud scanning on the component to be detected arranged on the mold platform, a three-dimensional image of the component 30 to be detected is constructed based on point cloud data obtained by scanning, the three-dimensional image is sent to the industrial personal computer 20 through the communication unit 103, the industrial personal computer 20 can carry out defect detection on the component to be detected according to the three-dimensional image and a preset three-dimensional image of the component to be detected, namely, the industrial personal computer 20 can determine whether the component to be detected has defects or not through comparing the three-dimensional image obtained by scanning the line scanning camera 102 with the preset three-dimensional image.
It should be noted that, a start button may also be disposed on the image capturing device 10, and when the defect detection is started, the start button may also be pressed down to enable the image capturing device 10 to be in a start state, and then the control instruction sent by the industrial control machine 20 may be received.
In the production defect detection system of this embodiment, the image acquisition device is in communication connection with the industrial personal computer through the communication unit, the industrial personal computer is used for sending an operation instruction to the image acquisition device, the image acquisition device is used for controlling the line scanning camera to perform point cloud scanning on a component to be detected based on the operation instruction, a three-dimensional image is constructed based on point cloud data obtained by scanning, the three-dimensional image is sent to the industrial personal computer through the communication unit, and the industrial personal computer is used for performing defect detection on the component to be detected according to the three-dimensional image and a preset three-dimensional image of the component to be detected. Through the automatic collection of the three-dimensional image of the member to be detected, the industrial personal computer detects the defect of the member to be detected according to the three-dimensional image and the preset three-dimensional image, so that the manual operation is reduced, the labor cost is saved, and the detection efficiency and the detection accuracy are improved.
Fig. 2 is a schematic structural diagram of a production defect detection system according to an embodiment of the present application, and as shown in fig. 2, the image capturing device 10 further includes: a gantry 104.
The line scan camera 102 is mounted on a stationary part of the gantry 104.
The fixed parts of the mold table 101 and the gantry 104 are located on the same plane and located below the fixed parts, the gantry 104 is provided with one fixed part and two moving parts, the fixed part can be horizontally arranged, the moving parts can be vertical to equipment, the line scanning camera 102 is arranged on the fixed part of the gantry 104, and point cloud scanning of the whole to-be-detected component 30 arranged on the mold table 101 by the line scanning camera is facilitated.
Wherein the gantry 104 may have mobility.
The image pickup device 10 further includes: a moving rail 105, and a moving part of the gantry 104 is arranged to match with the moving rail 105, wherein the gantry 104 may have two moving parts, and accordingly, the image capturing device 10 has two moving rails 105, and a moving part of the gantry 104 is arranged to match with the moving rail 105, that is, the moving part of the gantry 104 can move along the moving rail 105.
The image acquisition device 10 is used for controlling the gantry to move along the moving track based on an operation instruction sent by the industrial personal computer 20, so that the line scanning camera 102 moves to a shooting position corresponding to the component 30 to be detected for point cloud scanning.
In this way, when the moving part on the gantry 104 moves along the moving rail 105, the line-scan camera 102 disposed on the fixed part of the gantry 104 also moves to scan the entire member to be inspected 30, and also to scan the member to be inspected repeatedly to improve accuracy.
Fig. 3 is a schematic structural diagram of a production defect detection system provided in the embodiment of the present application, and as shown in fig. 3, the image capturing device 10 further includes: a mold 106 for the component to be inspected.
The member 30 to be inspected is disposed in the mold 106, and the mold 106 is disposed on the mold table 101.
The industrial personal computer 20 is further configured to send a control instruction to the image acquisition device 10 if the defect detection result indicates that the member to be detected 30 has no defect.
And the image acquisition device 10 is used for controlling the movement of the mold table 101 based on the control instruction.
The mold 106 of the component to be detected is configured in advance for the component to be detected, and in a defect detection process, the component 30 to be detected is arranged in the corresponding mold 106, and the mold 106 is arranged on the mold table 101.
The industrial personal computer 20 performs defect detection on the component 30 to be detected to obtain a defect detection result. If the defect detection result indicates that the component 30 to be detected has no defect, which indicates that each item of structural data of the component 30 to be detected conforms to the standard set value corresponding to the preset three-dimensional image, the industrial personal computer 20 may further send a control instruction to the image acquisition device 10 to control the mold table 101 provided with the component 30 to be detected and the mold 106 to move to the next detection station, so as to realize the automatic detection of the component 30 to be detected.
It should be noted that, the component 30 to be detected is arranged in the corresponding mold 106, which improves the detection accuracy and avoids false detection or missing detection caused by improper measuring tools or personnel states compared with the manual placement of the component 30 to be detected in the prior art.
In an optional embodiment, the industrial personal computer 20 is specifically configured to extract image features of a three-dimensional image and preset image features of the three-dimensional image; and comparing the image characteristics of the three-dimensional image with the image characteristics of the preset three-dimensional image to obtain a defect detection result of the component 30 to be detected.
The industrial personal computer 20 may extract image features of the three-dimensional image and image features of the preset three-dimensional image by using a feature extraction algorithm, and obtain a defect detection result of the member to be detected 30 by comparing the features, where the feature extraction algorithm includes, but is not limited to, a fuzzy algorithm, a neural network algorithm, and the like, and the feature extraction algorithm is not limited in this embodiment.
Wherein the image features of the preset three-dimensional image may indicate: presetting the position of a center line of a steel bar, the position of a center line of an embedded part, the size of the embedded part and the like in a three-dimensional image, wherein the image characteristics of the three-dimensional image can indicate that: the position of a center line of a steel bar, the central position of an embedded part, the size of the embedded part and the like in an image of the three-dimensional image can be determined through image characteristic comparison to determine whether the component 30 to be detected corresponding to the three-dimensional image lacks the steel bar, whether the steel bar is bound in a missing manner, whether the position of the embedded part is correct, whether form installation is correct, whether the model specification of the embedded part is used in a wrong manner, whether the embedded part is placed in a missing manner or in a multiple manner and the like, wherein the defect can be determined when the preset deviation is exceeded.
In an optional embodiment, the industrial personal computer 20 is further configured to perform image preprocessing on the three-dimensional image, where the image preprocessing includes: and denoising and sharpening the image.
In order to improve the accuracy of feature extraction processing, before extracting image features, the image preprocessing can be performed on the three-dimensional image and a preset three-dimensional image, and the image preprocessing comprises the following steps: image denoising, image sharpening, and the like.
In an alternative embodiment, the industrial control computer 20 includes: and the industrial personal computer 20 is also used for marking the defect position of the component 30 to be detected and controlling the display screen to display defect information.
Wherein, industrial computer 20 can also include the display screen, if the component 30 that detects is detected in the affirmation and has the defect, then industrial computer 20 can also treat the defect position of detecting component 30 and mark to control the display screen and show defect information, this defect information can include: image information of the defect position, position information of the defect position in the member to be inspected 30, and the like.
In an optional embodiment, the industrial personal computer 20 further includes: the alarm and the industrial personal computer 20 are also used for controlling the alarm to play prompt information so as to prompt manual operation.
The industrial personal computer 20 may further include an alarm, and if it is determined that the component 30 to be detected has a defect, the industrial personal computer 20 may further control the alarm to play prompt information to prompt manual operation, for example, the component 30 to be detected is manually taken out of the mold, the defect position is repaired, the component 30 to be detected is set in the mold 106 again, the mold 106 is set in the mold stage, the industrial personal computer 20 sends an operation instruction to the image acquisition device 10 again to perform defect detection for a second time, and the process is repeated until the defect detection result indicates that the component 30 to be detected does not have a defect. The alarm can be an alarm lamp and can prompt in the form of sound and light alarm.
In an optional embodiment, the industrial personal computer 20 is further configured to perform structured storage on the structural data of the member 30 to be detected if the defect detection result indicates that the member 30 to be detected does not have a defect.
If the defect detection result indicates that the member 30 to be detected has no defect, the industrial personal computer 20 may further perform structured storage on the structural data of the member 30 to be detected, wherein the structural data of the member 30 to be detected may be extracted from the three-dimensional image of the member 30 to be detected, the member 30 to be detected may be, for example, a steel bar mesh and a truss rib, and then the corresponding structured data may be a steel bar mesh steel bar interval and a truss rib arrangement interval. Therefore, the archived data is structured data, and later-stage quick retrieval is facilitated.
On the basis of the above embodiments, the following describes the technical solution of the present application with reference to a specific production defect detection system.
Fig. 4 is a schematic structural diagram of a specific production defect detection system provided in an embodiment of the present application, and as shown in fig. 4, the system includes: image acquisition device, industrial computer 20.
The image acquisition device includes: a mold table 101, a line-scan camera 102, a communication unit 103, a gantry 104, a moving track 105, and a mold 106.
The image acquisition device is in communication connection with the industrial personal computer 20 through the communication unit 103, wherein the communication unit 103 can be integrated in the line scanner 102.
The member 30 to be detected is arranged in the mold 106, and the mold 106 is arranged on the mold table 101; the line scan camera 102 is disposed on a fixed part of the gantry 104, and a moving part of the gantry 104 is disposed to match the moving rail 105.
The industrial personal computer 20 includes: display screen, alarm.
In a defect detection process, the industrial personal computer 20 is used for sending an operation instruction to the image acquisition device 10, the image acquisition device 10 controls the gantry to move along the moving track based on the operation instruction sent by the industrial personal computer 20, so that the line scanning camera 102 moves to a shooting position corresponding to the component 30 to be detected for point cloud scanning, a three-dimensional image is constructed based on point cloud data obtained by scanning, and the three-dimensional image is sent to the industrial personal computer 20 through the communication unit 103.
The industrial personal computer 20 is used for detecting the defects of the component to be detected according to the three-dimensional image and the preset three-dimensional image of the component to be detected.
If the defect detection result indicates that the component 30 to be detected does not have a defect, a control instruction is sent to the image acquisition device 10, the image acquisition device 10 controls the movement of the mold table 101 based on the control instruction, and if the defect detection result indicates that the component 30 to be detected does not have a defect, the industrial personal computer 20 can also store the structural data of the component 30 to be detected in a structured manner.
If the component 30 to be detected is determined to have a defect, the industrial personal computer 20 may also mark the defect position of the component 30 to be detected, control the display screen to display defect information, and control the alarm to play prompt information to prompt manual operation.
Based on the production defect detection system described in the above embodiment, the present application also provides a production defect detection method.
Fig. 5 is a schematic flow diagram of a production defect detection method provided in an embodiment of the present application, and is shown in fig. 5, and is applied to an industrial personal computer in the production defect detection system.
The method comprises the following steps:
s101, sending an operation instruction to an image acquisition device;
and S102, receiving a three-dimensional image sent by the image acquisition device based on the operation instruction, wherein the three-dimensional image is used for controlling the line scanning camera to perform point cloud scanning on the component to be detected by the image acquisition device, and the three-dimensional image is constructed and acquired based on point cloud data obtained by scanning.
S103, carrying out defect detection on the component to be detected according to the three-dimensional image and the preset three-dimensional image of the component to be detected.
The specific implementation manner of the production defect detection method provided by this embodiment may participate in the production defect detection system, and is not described herein again.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A production defect detection system, comprising: image acquisition device and industrial computer, image acquisition device includes: the device comprises a die table, a line scanning camera and a communication unit, wherein a component to be detected is arranged on the die table, and the image acquisition device is in communication connection with the industrial personal computer through the communication unit;
the industrial personal computer is used for sending an operation instruction to the image acquisition device;
the image acquisition device is used for controlling the line scanning camera to carry out point cloud scanning on the component to be detected based on the operation instruction, constructing a three-dimensional image based on point cloud data obtained by scanning, and sending the three-dimensional image to the industrial personal computer through the communication unit;
the industrial personal computer is used for detecting the defects of the component to be detected according to the three-dimensional image and the preset three-dimensional image of the component to be detected.
2. The production defect detection system of claim 1, wherein the image capture device further comprises: the line scanning camera is arranged on a fixed part of the portal frame.
3. The production defect detection system of claim 2, wherein the image capture device further comprises: the moving part of the portal frame is matched with the moving track;
the image acquisition device is used for controlling the portal frame to move along the moving track based on the operation instruction so as to enable the line scanning camera to move to a shooting position corresponding to the component to be detected for point cloud scanning.
4. The production defect detection system of claim 1, wherein the image capture device further comprises: the die comprises a die for a component to be detected, wherein the component to be detected is arranged in the die, and the die is arranged on the die table;
the industrial personal computer is also used for sending a control instruction to the image acquisition device if the defect detection result indicates that the member to be detected has no defects;
and the image acquisition device is used for controlling the movement of the mold table based on the control instruction.
5. The production defect detection system according to any one of claims 1 to 4, wherein the industrial personal computer is specifically configured to extract image features of the three-dimensional image and image features of the preset three-dimensional image; and comparing the image characteristics of the three-dimensional image with the image characteristics of the preset three-dimensional image to obtain a defect detection result of the component to be detected.
6. The production defect detection system of claim 5, wherein the industrial personal computer is further configured to perform image preprocessing on the three-dimensional image, and the image preprocessing comprises: and denoising and sharpening the image.
7. The production defect detection system of claim 1, wherein the industrial personal computer comprises: and the industrial personal computer is also used for marking the defect position of the component to be detected and controlling the display screen to display defect information.
8. The production defect detection system of claim 1, wherein the industrial personal computer further comprises: and the industrial personal computer is also used for controlling the alarm to play prompt information so as to prompt manual operation on the defective part.
9. The production defect detection system of claim 1, wherein the industrial personal computer is further configured to perform structured storage on the structural data of the member to be detected if the defect detection result indicates that the member to be detected does not have a defect.
10. A production defect detection method applied to an industrial personal computer in the production defect detection system according to any one of claims 1 to 9, the method comprising:
sending an operation instruction to the image acquisition device;
receiving a three-dimensional image sent by the image acquisition device based on the operation instruction, wherein the three-dimensional image is obtained by controlling a line scanning camera to perform point cloud scanning on a component to be detected by the image acquisition device, and is constructed and obtained based on point cloud data obtained by scanning;
and carrying out defect detection on the member to be detected according to the three-dimensional image and the preset three-dimensional image of the member to be detected.
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| CN202210514815.6A CN114923913A (en) | 2022-05-11 | 2022-05-11 | Production defect detection system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117571720A (en) * | 2024-01-12 | 2024-02-20 | 贵州科筑创品建筑技术有限公司 | Method, device and system for detecting concrete appearance bubbles and storage medium |
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2022
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117571720A (en) * | 2024-01-12 | 2024-02-20 | 贵州科筑创品建筑技术有限公司 | Method, device and system for detecting concrete appearance bubbles and storage medium |
| CN117571720B (en) * | 2024-01-12 | 2024-03-22 | 贵州科筑创品建筑技术有限公司 | Method, device and system for detecting concrete appearance bubbles and storage medium |
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