CN113522791A - Weldment quality detection device based on Internet of things and detection method thereof - Google Patents
Weldment quality detection device based on Internet of things and detection method thereof Download PDFInfo
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- CN113522791A CN113522791A CN202110678438.5A CN202110678438A CN113522791A CN 113522791 A CN113522791 A CN 113522791A CN 202110678438 A CN202110678438 A CN 202110678438A CN 113522791 A CN113522791 A CN 113522791A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/38—Collecting or arranging articles in groups
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Abstract
The invention discloses a weldment quality detection device based on the Internet of things and a detection method thereof, and the device comprises a detection device, a feeding assembly and a material management device, wherein a support seat in the feeding assembly is provided with a positioning system, a welded pipe corresponds to a support seat, the weldment to be detected is positioned in real time through the Internet of things and a positioning signal is sent to a terminal device, so that a worker can conveniently find the position of the weldment at any time, the weldment passes through the detection device with a multi-directional visual detection system, the visual detection system automatically identifies and judges whether the welded pipe has defects or not and shoots and uploads the defects to a database, the terminal device is connected with the database, the worker can be effectively ensured to monitor the weldment at any time, the welded pipes with different defects are classified through the material management device after data storage is finished, and a robot carries out ordered stacking storage on the detected weldments, because the weldment is placed in the supporting seat all the time, the weldment is sent and positioned in real time, and the weldment is more convenient to find manually at any time.
Description
Technical Field
The invention relates to a weldment detection device, in particular to a weldment quality detection device based on the Internet of things and a detection method thereof.
Background
The welding process is one of the effective means for fixing the connection, and the safety and reliability of the weldment and the integrity of the welding structure are directly influenced on the welding quality. The welding quality detection refers to the detection of welding results, and the quality of a welding seam has defects, so that the welding seam has a large influence on the strength of a welding part, the quality of the welding part is unstable in the whole process, and accidents are easy to happen.
However, in the conventional weldment detection mode, the weldment detection information is manually recorded and each unit does not have timely information interaction, and workers of other production lines cannot acquire the detection condition of the current weldment in real time. And put in conclusion at will after the weldment detects and finish, when the workman need look over the weldment welding seam condition in advance, often look for in numerous weldment, so not only reduce work efficiency, also wasted workman's plenty of time. The traditional weldment surface defect detection device adopts an automatic detection technology, is limited in a system algorithm in the process of judging the surface of a weldment, and has errors in detection results of different defect shapes, so that detection omission and false detection are caused.
Disclosure of Invention
The purpose of the invention is as follows: the weldment quality detection device and the weldment quality detection method based on the Internet of things effectively solve the problems in the prior art.
The technical scheme is as follows: a weldment quality detection device based on the Internet of things comprises a detection device, a feeding assembly and a material management device,
the detection device comprises a workbench, a first clamping assembly, a visual detection assembly and a second clamping assembly, wherein the first clamping assembly is connected to the workbench in a sliding mode;
the feeding assembly comprises a first conveying belt fixed on one side of the workbench and a supporting seat used for positioning a weldment, and the supporting seat runs through the conveying belt; the supporting seat is internally provided with a positioner, so that a positioning signal can be sent to the terminal equipment at any time, and a worker can conveniently find the detection state of a weldment at any time.
The material management device comprises a second transmission belt fixed on the other side of the workbench and a material distribution mechanism arranged in parallel with the starting end of the second transmission belt, wherein the second transmission belt is symmetrically arranged on two sides of the material distribution mechanism. The weldment that finishes detecting is classified through the material management device, direct follow-up operation is conveniently carried out on the weldments without defects, and the weldments that finish classifying are orderly stacked by the manipulator, so that the efficiency of searching the weldments by workers can be effectively improved.
In a further embodiment, the visual inspection assembly comprises a base, a guide rod arranged at two opposite ends of the base, and a plurality of visual detectors arranged along the vertical direction and the horizontal direction of the guide rod respectively. The vision detector sets up along four directions of circumference, and diversified vision detector has effectively guaranteed the accuracy of weldment defect, and the uncertainty of weldment size, vision detector accessible guide bar move along the predetermined direction, make vision detector and welding seam position corresponding, avoid omitting to shoot the visual angle to carry out image analysis to the picture through the system, judge the weldment defect.
In a further embodiment, the base is slidably connected to the worktable in a transverse direction on one side and a vision detector in a longitudinal direction on the other side. The base moves and the visual detector moves, so that the detectable range is effectively expanded.
In a further embodiment, the guide rod comprises a first guide rod fixedly installed along one end of the base, and a second guide rod movably connected with the other end of the base, wherein one end of the first guide rod is movably connected with a first visual detector, the other end of the first guide rod is vertically and movably provided with a second visual detector through a connecting block and the first visual detector, the second guide rod is movably connected with a third visual detector, and the third visual detector and the first visual detector are horizontally arranged to form a detection area. Mobilizable visual detector can effectively enlarge the scope of detectable weldment overall dimension to diversified shooting has effectively avoided detecting the omission.
In a further embodiment, each of the first clamping assembly and the second clamping assembly comprises a transition plate vertically connected with the workbench, a plurality of telescopic assemblies vertically and fixedly connected with one side of the transition plate, and a lifting block slidably connected with one side of the transition plate at a predetermined distance. The cross section of the lifting block is L-shaped, and the two ends of the lifting block are lifted through a pulley and a sliding rail arranged on one side of the transition plate. The lifting block is used for adjusting the height of the weldment and enabling the weldment to be separated from the supporting seat, so that the detection accuracy is prevented from being influenced, the telescopic assembly is arranged along the three peripheral directions of the transition plate, and the automatic centering effect can be achieved when the weldment is clamped.
In a further embodiment, the telescopic assembly comprises positioning blocks distributed along the edges of the transition plates and a telescopic rod vertically and movably connected with the positioning blocks, and one end of the telescopic rod is fixedly provided with a sucker. After the lifting block lifts the weldment to a preset position, the clamping force of the weldment can be adjusted through the telescopic rod, and one end of the telescopic rod is fixed in vacuum by the aid of the sucking disc, so that damage to the surface of the weldment in the clamping process is effectively reduced.
In a further embodiment, the supporting seat comprises a bottom plate, a plurality of clamping plates which are uniformly distributed on the bottom plate, and a supporting piece which is fixedly arranged in the middle of the clamping plates, wherein the clamping plates are elastic spring plates with horn-shaped sections. The pressure of a plurality of splint evenly distributed dispersion weldments to splint effectively avoids the weldment to the harm of splint to the support piece of bottom gives holding power to the weldment, improves the stability that the weldment was placed in splint, and support piece in the splint can have cushioning effect to the weldment when placing with the splint that have elastic property simultaneously.
In a further embodiment, the material distribution mechanism is rotatably connected to the support and comprises a moving block moving longitudinally along the support and a displacement seat connected with the moving block in a sliding manner, and the displacement seat moves linearly along the inside of the moving block to form a material distribution area. The material distribution mechanism can effectively classify according to the defect condition of the weldment, and is convenient for workers to search.
The detection method of the weldment quality detection device based on the Internet of things comprises the following steps:
s1, placing the weldment in the supporting seat and on the first conveying belt;
s2, electrifying the motor, and moving the second guide rod to one side of the base to be close to the clamping assembly;
s3, conveying the weldment to the upper side of the base, and clamping the weldment by the first clamping assembly and the second clamping assembly in a matching motion manner;
s4, enabling the visual detector to correspond to the welding seam, and shooting, marking and storing data;
s5, the first clamping assembly and the second clamping assembly move reversely to enable the welding piece to return to the supporting seat;
s6, movably conveying the weldment to a material distribution mechanism, sending a signal to the material distribution mechanism through the system to classify the weldment, and conveying the weldment to a second conveying belt;
s7, after the workpieces are conveyed to the second conveying belt for classification, the workpieces are sequentially stacked by the manipulator;
s8, sending a positioning signal inside the supporting seat to the terminal equipment;
and S9, searching the positions of the weldments in real time through the terminal equipment by the user.
In a further embodiment, the "defect detection analysis" in S4 includes the following steps:
s1, after receiving the image, the computer scans and compares the image and detects the defect outline in the welding image;
s2, identifying the defect by the computer, manually checking whether the identification has errors, and re-identifying;
and S3, recalculating the contour of the modification identifier by the computer, and storing the contour in a comparison library.
Has the advantages that: the invention discloses a weldment quality detection device based on the Internet of things and a detection method thereof, wherein the device comprises a detection device, a feeding assembly and a material management device, wherein a support seat in the feeding assembly is provided with a positioning system, a welded pipe corresponds to a support seat, the weldment to be detected is positioned in real time through the Internet of things and a positioning signal is sent to a terminal device, so that a worker can conveniently find the position of the weldment at any time, the weldment passes through the detection device with a multi-directional visual detection system, so that the recognition, the shooting and the data storage are carried out, whether the welded pipe has defects or not is automatically recognized and judged through the visual detection system, the shooting is uploaded to a database, the terminal device is connected with the database, the worker can be effectively ensured to monitor the weldment at any time, the welded pipe with different defects is classified through the material management device after the data storage is finished, and the robot carries out ordered stacking and storage on the detected weldments, because the weldment is placed in the supporting seat all the time, the weldment is sent and positioned in real time, and the weldment is more convenient to find manually at any time.
Drawings
Fig. 1 is a schematic view of the overall structure of the present invention.
FIG. 2 is a schematic structural diagram of the detecting device of the present invention.
Fig. 3 is a schematic structural diagram of a material management device in the present invention.
FIG. 4 is a schematic structural view of the supporting base of the present invention.
Fig. 5 is a schematic structural view of the clamping assembly in fig. 2.
Fig. 6 is a schematic structural view of the material distributing mechanism in fig. 3.
Fig. 7 is a schematic view of the internal structure of fig. 6.
The figures are numbered: the material conveying device comprises a first conveying belt 1, a detection device 2, a material management device 3, a bottom plate 101, a support member 102, a clamping plate 103, a workbench 201, a base 202, a first visual detector 203, a second visual detector 204, a first clamping assembly 205, a sliding rail 205a, a lifting block 205b, a suction cup 205c, a transition plate 205d, a positioning block 205e, a compression rod 205f, a second clamping assembly 206, a first guide rod 207, a connecting block 207a, a limiting block 207b, a second guide rod 208, a third visual detector 209, a second conveying belt 301, a support 302, a material separating mechanism 303, a displacement seat 303a, a movement block 303b, a sliding groove 303c and a sliding block 303 d.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention.
As shown in fig. 1 to 7, the invention discloses an internet of things-based weldment quality detection device 2 and a detection method thereof, and the detection device comprises a feeding assembly, a detection device 2 and a material management device 3. After the welding parts are transmitted to the detection device 2 through the feeding assembly, the welding parts are classified through the material management device 3 after the detection of the welding parts is finished. The feeding assembly comprises a first conveying belt 1 for conveying and a supporting seat for placing the first conveying belt 1, a traditional supporting seat cannot position a weldment in real time, a positioner is arranged inside the supporting seat, when the weldment is placed in the supporting seat, the position of the weldment can be monitored at any time, a signal is sent to a terminal device, and a worker can monitor the position of the weldment in real time through the terminal device, so that the welding machine can be conveniently found at any time. The supporting seat is supported by a bottom plate 101, a plurality of clamping plates 103 are fixedly arranged above the bottom plate 101 along the length direction of the bottom plate 101, two ends of each clamping plate 103 are flared to the outer side of the bottom plate 101, a supporting piece 102 is fixedly arranged in the middle of each clamping plate 103, both the clamping plates 103 and the supporting pieces 102 have elastic performance, each clamping plate 103 is made of elastic alloy elastic sheets, each supporting piece 102 is fixed in the middle of each supporting piece 102 by elastic rubber pieces, when a weldment is placed in the supporting seat, each clamping plate 103 is extruded by the weldment to collide with the periphery of the weldment to clamp the weldment, the weldment is clamped, the supporting pieces 102 at the bottoms of the clamping plates 103 support the weldment, and have a buffering effect when the weldment is placed, the clamping plates 103 are prevented from being damaged by the self gravity of the weldment, the clamping plates 103 and the supporting pieces 102 are combined for use, and a plurality of the combination is uniformly distributed on the bottom plate 101, the pressure of the weldment on the clamping plates 103 is effectively dispersed by a plurality of contact points, and the damage of the weldment on the clamping plates 103 is reduced, the service life of the supporting seat is prolonged, and the weldment can be stably placed in the clamping plate 103.
The weldment pipe fitting is stably arranged through the supporting seat and is conveyed to the detection device 2 under the action of the first conveying belt 1, the detection device 2 comprises a workbench 201 which is perpendicular to the first conveying belt 1, a first clamping component 205 which is in sliding connection with the workbench 201, a visual detection component which is in movable connection with the first clamping component 205, and a second clamping component 206 which is fixed on one side of the visual detection component, the visual detection component comprises a base 202, guide rods which are oppositely arranged at two ends of the base 202, and a plurality of visual detectors which are oppositely arranged along the vertical direction and the horizontal direction of the guide rods respectively, in order to avoid influencing the movement of the weldment, the guide rods are in movable connection with the workbench 201 through sliding rails 205a, when the weldment moves to the upper side of the workbench 201, enough space can be reserved for the weldment to move to the workbench 201 by moving the second guide rods 208, the guide rod is divided into a first guide rod 207 and a second guide rod 208 by the base 202, the first guide rod 207 and the base 202 are fixedly installed, the first guide rod 207 is movably connected with a first visual detector 203, the second visual detector 204 is movably connected with a second visual detector 204 by a connecting block 207a, the second visual detector 204 is vertically arranged with the first visual detector 203 in a space, the second guide rod 208 is movably connected with a third visual detector 209, the third visual detector 209 is arranged opposite to the first visual detector 203 to form a detection area, in order to prevent the visual detectors from moving away from the guide rod, the tail end of the guide rod is fixedly connected with a limit block 207b which controls the visual detectors to move along a preset stroke range, and the visual detectors are also arranged on the base 202 in a sliding way, thereby ensuring that the visual detectors are arranged along four circumferential directions of the welding piece, and the multidirectional visual detectors shoot the welding pieces in different directions simultaneously, the invention avoids the omission of shooting, effectively ensures the accuracy of the defects of the weldment and effectively improves the working efficiency, because the sizes of the weldments are not fixed, the positions of welding seams are frequently changed, the shooting angle is not proper, the condition of omission is easily caused, and the traditional vision detector can not realize multi-angle simultaneous shooting, the first, second and third vision detectors are movably connected, the vision detector on the base 202 is connected on the worktable 201 in a sliding way, all the vision detectors can respectively adjust the vision detector to correspond to the positions of the welding seams by moving along the preset direction, the welding seam pictures in different directions can be effectively shot, the vision detector effectively detects the positions, the shapes and the sizes of the defects in the welding seams, analyzes the pictures by a system, numbers and stores the pictures, and transmits the pictures to a database, the workers can enter the database through the terminal equipment, and the related information of the weldment is input, so that the workers can visually and efficiently check the defects of the welding seam and judge the defects of the weldment.
The weldment need keep unsettled state in the testing process, and when traditional weldment detected, realized raising and lowering functions to the weldment through removing the clamping subassembly at weldment centre gripping in-process, need keep certain clamping-force to the weldment, otherwise so remove in-process weldment at the weldment and rock, lead to the centre gripping effect to reduce easily to weldment slope influences testing result. The clamping components symmetrically arranged on the two sides of the base 202 effectively guarantee stable clamping of the weldment. The clamping assemblies are respectively arranged on two sides of the visual detection assembly and are divided into a first clamping assembly 205 and a second clamping assembly 206, wherein the first clamping assembly 205 is movably connected to the workbench 201, the second clamping assembly 206 is opposite to the first clamping assembly 205 and is movably connected to the workbench 201, the first clamping assembly 205 and the second clamping assembly 206 are identical in structure and respectively comprise a transition plate 205d vertically connected with the workbench 201, a plurality of telescopic assemblies are fixedly connected to one side of the transition plate 205d, the number of the telescopic assemblies is at least three, the telescopic assemblies are respectively arranged along the periphery of the transition plate 205d, and a lifting block 205b is connected with one side of the transition plate 205d in a sliding mode at a preset distance, and the lifting block 205b is arranged opposite to one of the telescopic assemblies and is used for supporting the end portion of a welding part. The cross-section of the lifting block 205b is L-shaped, the two ends of the lifting block are lifted through the pulleys and the sliding rail 205a arranged on one side of the transition plate 205d, and the lifting block 205b can be used for adjusting the height of the weldment to enable the weldment to be separated from the supporting seat, so that the influence on the detection accuracy rate due to shielding below the weldment is avoided. The telescopic assembly comprises positioning blocks 205e distributed along the edges of the transition plate 205d and a telescopic rod vertically and movably connected with the positioning blocks 205e, and one end of the telescopic rod is fixedly provided with a sucker 205 c. After the lifting block 205b lifts the weldment to a preset position, the telescopic rod rotates to drive the sucker 205c to clamp the weldment, one end of the telescopic rod adopts the sucker 205c to fix the weldment in vacuum, and damage to the surface of the weldment in the clamping process is effectively reduced. Move the weldment to predetermined height earlier through elevator 205b, press from both sides it through the centre gripping subassembly, effectively avoided the stability that the weldment removed to influence weldment testing result to flexible subassembly sets up along crossing the peripheral three directions of cab apron 205d, when carrying out the clamping to the weldment, can play self-centering's effect. The clamping assemblies arranged in pairs effectively ensure that the two ends of the weldment are coaxial, so that the welding seam is kept horizontal when shooting, system judgment errors are reduced, and more accurate judgment is ensured when subsequent workers check pictures.
After the detection of the weldment is finished, the materials management device 3 judges and classifies the defect condition of the weldment, so that the direct follow-up operation of the weld without defects is facilitated. The material management device 3 comprises a second transmission belt 301 fixed on the other side of the workbench 201 and a material distribution mechanism 303 arranged opposite to the starting end of the second transmission belt 301, the second transmission belt 301 is symmetrically arranged on two sides of the material distribution mechanism 303, the symmetrically arranged second transmission belt 301 conveys the welding pieces to a storage area respectively, a classification effect is realized, the welding pieces are placed in different areas, the time for manually searching the welding pieces is effectively reduced, the material distribution mechanism 303 is rotatably connected to the support 302 and comprises a moving block 303b moving longitudinally along the support 302 and a displacement seat 303a connected with the moving block 303b in a sliding manner, and the displacement seat 303a moves linearly along the moving block 303b to form a material distribution area. The moving block 303b is provided with threads along the corners to be connected with the screw rod of the support 302, the screw rod is rotated simultaneously inside the support 302, the height of the material distribution mechanism 303 can be automatically adjusted, under the condition that classification is not needed, the material distribution mechanism 303 is adjusted downwards, and can be hidden, so that the second transmission belt 301 is close to and moves synchronously, and can realize homodromous transmission, the middle part of the moving block 303b is provided with a sliding groove 303c, and is in sliding connection with a sliding block 303d on the displacement seat 303a, the sliding block 303d is in threaded connection with the displacement assembly, the position between the displacement seat 303a and the displacement block can be adjusted according to the weight of a weldment, and the smooth and easy displacement process is ensured. The default of displacement seat 303a is located the inside spout 303c middle part of movable block 303b for the weldment that the receipt finishes, and the removal signal that the receiving system sent, drive displacement seat 303a through slider 303d and remove inside spout 303c, transmit the weldment to the initial position of second transmission band 301, the orderly stack of the weldment that finishes with categorised manipulator that is located second transmission band 301 one side, the workman passes through terminal equipment and trails the weldment in real time, look over and detect the progress, effectively improve the workman and seek weldment efficiency.
Based on the technical scheme, the invention provides a detection method of a weldment quality detection system based on the Internet of things, which specifically comprises the following steps:
placing the weldment in the middle of the support base and on the first conveyor belt 1; the motor is electrified, when the first conveying belt 1 rotates to convey the weldment to the position above the workbench 201, the second guide rod 208 moves to one side of the workbench 201, when the weldment is conveyed to the position above the workbench 201, the first conveying belt 1 stops rotating, the clamping assembly moves in a matched mode to clamp the weldment, the lifting block 205b on the clamping assembly corresponds to the end portion of the welded pipe fitting, the compression rod 205f rotates to enable the suction disc 205c at the tail end of the compression rod 205f to press the surface of the weldment tightly, the lifting block 205b moves upwards to enable the weldment to be separated from the supporting seat and located above the workbench 201, under the condition that the position of the weldment is kept unchanged, the vision detectors are adjusted to enable the vision detectors to respectively correspond to the welding seams, the vision detectors control the position of the welding seams to shoot through a system, pictures are analyzed through the system, defects are compared and judged, data are stored, and the results are sent to the material distribution mechanism 303 at the same time, and the position with the defect is marked, the system stores related data into a database, after the detection is finished, the clamping assembly reversely adjusts the compression rod 205f to enable the compression rod to loosen the weldment, the lifting block 205b moves downwards to the lowest end, the weldment falls into the supporting seat again, the first conveying belt 1 continuously rotates to drive the weldment to be conveyed to the distributing mechanism 303, the moving block 303b on the distributing mechanism 303 rotates to lift, the displacement seat 303a is enabled to be in contact with the bottom plate 101, the displacement seat 303a displaces according to a signal sent by the system and transmits the weldment to the corresponding second conveying belt, the manipulator on one side of the second conveying belt 301 sequentially stacks the weldment, a positioning signal in the supporting seat is updated in real time and sent to the terminal device, and a user searches the position of the weldment in real time through the terminal device.
In addition, the traditional vision detector can realize the identification of simple appearance defects of the weldment, but because some defects with special shapes are difficult to accurately identify, the vision detector needs to summarize and analyze the defect identification experience, and the inference rule of the defect identification is perfected. The visual detector shoots pictures and stores the pictures into the defect analysis system, the defective parts are marked through system comparison, the marks of the system are corrected manually, the system recalculates the corrected pictures and counts the corrected pictures into a comparison library, weldment defect shapes with different shapes are automatically accumulated, and recognition errors are reduced.
As noted above, while the present invention has been shown and described with reference to certain preferred embodiments, it is not to be construed as limited thereto. Various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The utility model provides a weldment quality detection device based on thing networking which characterized in that includes:
the detection device comprises a workbench, a first clamping assembly, a visual detection assembly and a second clamping assembly, wherein the first clamping assembly is connected to the workbench in a sliding mode;
the feeding assembly comprises a first conveying belt fixed on one side of the workbench and a supporting seat used for positioning a weldment, and the supporting seat runs through the conveying belt;
the material management device comprises a second transmission belt fixed on the other side of the workbench and a material distribution mechanism arranged in parallel with the starting end of the second transmission belt, wherein the second transmission belt is symmetrically arranged on two sides of the material distribution mechanism.
2. The Internet of things-based weldment quality detection device according to claim 1, wherein: the visual detection assembly comprises a base, guide rods and a plurality of visual detectors, wherein the two ends of the base are oppositely arranged, and the visual detectors are respectively arranged in the vertical direction and the horizontal direction of the guide rods.
3. The Internet of things-based weldment quality detection device according to claim 2, wherein: one side of the base is transversely connected with the workbench in a sliding manner, and the other side of the base is longitudinally connected with the vision detector in a sliding manner.
4. The Internet of things-based weldment quality detection device according to claim 2, wherein: the guide bar includes the edge base one end fixed mounting's first guide bar, other end swing joint's second guide bar, the one end swing joint of first guide bar has first vision detector, the other end pass through the connecting block with first vision detector vertical activity is provided with second vision detector, second guide bar swing joint has third vision detector, third vision detector sets up with first vision detector level, forms detection area.
5. The Internet of things-based weldment quality detection device according to claim 1, wherein: the first clamping assembly and the second clamping assembly respectively comprise a transition plate vertically connected with the workbench, a plurality of telescopic assemblies vertically and fixedly connected with one side of the transition plate, and a lifting block in sliding connection with one side of the transition plate at a preset distance.
6. The Internet of things-based weldment quality detection device according to claim 5, wherein: the telescopic assembly comprises positioning blocks distributed along the edge of the transition plate and a telescopic rod vertically and movably connected with the positioning blocks, and one end of the telescopic rod is fixedly provided with a sucker.
7. The Internet of things-based weldment quality detection device according to claim 1, wherein: the supporting seat comprises a bottom plate, a plurality of clamping plates and a supporting piece, wherein the clamping plates are uniformly distributed on the bottom plate, the supporting piece is fixedly arranged in the middle of each clamping plate, and the cross section of each clamping plate is trumpet-shaped and has elasticity.
8. The Internet of things-based weldment quality detection device according to claim 1, wherein: the material distribution mechanism is rotationally connected to the support and comprises a moving block and a displacement seat, wherein the moving block moves longitudinally along the support, the displacement seat is connected with the moving block in a sliding mode, and the displacement seat moves linearly in the moving block to form a material distribution area.
9. A detection method of a weldment quality detection device based on the Internet of things is characterized by comprising the following steps:
s1, placing the weldment in the supporting seat and on the first conveying belt;
s2, electrifying the motor, and moving the second guide rod to one side of the base to be close to the clamping assembly;
s3, conveying the weldment to the upper side of the base, and clamping the weldment by the first clamping assembly and the second clamping assembly in a matching motion manner;
s4, enabling the visual detector to correspond to the welding seam, and enabling the computer to carry out defect detection analysis, marking and data storage on the picture;
s5, the first clamping assembly and the second clamping assembly move reversely to enable the welding piece to return to the supporting seat;
s6, movably conveying the weldment to a material distribution mechanism, sending a signal to the material distribution mechanism through the system to classify the weldment, and conveying the weldment to a second conveying belt;
s7, after the workpieces are conveyed to the second conveying belt for classification, the workpieces are sequentially stacked by the manipulator;
s8, sending a positioning signal inside the supporting seat to the terminal equipment;
and S9, searching the positions of the weldments in real time through the terminal equipment by the user.
10. The method for detecting the Internet of things-based weldment quality inspection device according to claim 9, wherein the defect detection analysis in the step S4 comprises the following steps:
s1, after receiving the image, the computer scans and compares the image and detects the defect outline in the welding image;
s2, identifying the defect by the computer, manually checking whether the identification has errors, and re-identifying;
and S3, recalculating the identified contour by computer modification, and storing the recalculated contour in a comparison library.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110678438.5A CN113522791A (en) | 2021-06-18 | 2021-06-18 | Weldment quality detection device based on Internet of things and detection method thereof |
| PCT/CN2021/106465 WO2022262044A1 (en) | 2021-06-18 | 2021-07-15 | Weldment quality measurement apparatus based on internet of things and measurement method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110678438.5A CN113522791A (en) | 2021-06-18 | 2021-06-18 | Weldment quality detection device based on Internet of things and detection method thereof |
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| CN113522791A true CN113522791A (en) | 2021-10-22 |
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| CN202110678438.5A Withdrawn CN113522791A (en) | 2021-06-18 | 2021-06-18 | Weldment quality detection device based on Internet of things and detection method thereof |
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| CN (1) | CN113522791A (en) |
| WO (1) | WO2022262044A1 (en) |
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| CN117630044B (en) * | 2023-12-05 | 2024-06-21 | 苏州创信维自动化设备有限公司 | AOI equipment for detecting sheet substrate |
| CN118089638A (en) * | 2024-04-19 | 2024-05-28 | 青岛正能交通装备有限公司 | Size detection device of auto parts |
Family Cites Families (7)
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| CN102825605B (en) * | 2012-09-13 | 2015-02-18 | 昆山市工业技术研究院有限责任公司 | Material delivering robot with visual detecting function |
| CN104977305A (en) * | 2015-06-29 | 2015-10-14 | 华中科技大学 | Welding quality analysis device based on infrared vision and analysis method thereof |
| CN106423894B (en) * | 2016-09-20 | 2019-01-15 | 苏州香农智能科技有限公司 | Wheel hub appearance automatic sorting device, method for sorting and sorting system based on machine vision |
| CN107340328A (en) * | 2017-09-08 | 2017-11-10 | 广东工业大学 | A kind of weldment defect detecting system and detection method |
| CN107607550B (en) * | 2017-10-27 | 2023-11-10 | 宁波舜宇仪器有限公司 | Defect detecting unit and defect detecting apparatus including the same |
| EP3611496A1 (en) * | 2018-08-16 | 2020-02-19 | Eiffage Energie Systemes - Clemessy | Method for inspecting a joining seam of an industrial part and system for implementing said method |
| CN210876352U (en) * | 2019-08-22 | 2020-06-30 | 深圳中天云创科技有限公司 | Automatic visual detection equipment for defects of light guide plate |
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2021
- 2021-06-18 CN CN202110678438.5A patent/CN113522791A/en not_active Withdrawn
- 2021-07-15 WO PCT/CN2021/106465 patent/WO2022262044A1/en active Application Filing
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| WO2022262044A1 (en) | 2022-12-22 |
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