CN116352817A - Woodworking mechanical equipment based on AI vision xylem contour detection - Google Patents
Woodworking mechanical equipment based on AI vision xylem contour detection Download PDFInfo
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- CN116352817A CN116352817A CN202310129385.0A CN202310129385A CN116352817A CN 116352817 A CN116352817 A CN 116352817A CN 202310129385 A CN202310129385 A CN 202310129385A CN 116352817 A CN116352817 A CN 116352817A
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- 238000001514 detection method Methods 0.000 title claims abstract description 49
- 230000007246 mechanism Effects 0.000 claims abstract description 121
- 238000012545 processing Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 238000006073 displacement reaction Methods 0.000 claims abstract description 12
- 239000002023 wood Substances 0.000 claims description 107
- 230000000007 visual effect Effects 0.000 claims description 31
- 238000007599 discharging Methods 0.000 claims description 26
- 238000009966 trimming Methods 0.000 claims description 26
- 238000012937 correction Methods 0.000 claims description 22
- 238000001125 extrusion Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 4
- 238000004422 calculation algorithm Methods 0.000 claims description 3
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- 238000003384 imaging method Methods 0.000 claims description 3
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B27—WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
- B27C—PLANING, DRILLING, MILLING, TURNING OR UNIVERSAL MACHINES FOR WOOD OR SIMILAR MATERIAL
- B27C5/00—Machines designed for producing special profiles or shaped work, e.g. by rotary cutters; Equipment therefor
- B27C5/02—Machines with table
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B27—WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
- B27C—PLANING, DRILLING, MILLING, TURNING OR UNIVERSAL MACHINES FOR WOOD OR SIMILAR MATERIAL
- B27C5/00—Machines designed for producing special profiles or shaped work, e.g. by rotary cutters; Equipment therefor
- B27C5/02—Machines with table
- B27C5/06—Arrangements for clamping or feeding work
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to the technical field of woodworking machinery, in particular to woodworking machinery equipment based on AI vision xylem contour detection. Through using AI vision computer system to carry out image processing to feeding plank, can calculate the optimal cutting mode of plank, utilize the position control of rectifying mechanism to carry out the plank, see the accurate cutting of realization to the plank, through setting up rectifying mechanism, this rectifying mechanism is including setting up the linear electric motor in baffle mechanism below and fixed mounting revolving stage on the linear electric motor rotor seat, set up the anchor clamps mounting bracket that stretches into between two sets of transmission shafts on the revolving stage, be provided with pneumatic clamp on the anchor clamps mounting bracket, when the plank passes through, rectifying mechanism can be according to PLC control system's control command to the plank clamp of admitting air, through rotatory, the displacement, move the cutting passageway of corresponding plank with the plank in, realize the regulation to plank cutting size.
Description
Technical Field
The invention relates to the technical field of woodworking machinery, in particular to woodworking machinery equipment based on AI vision xylem contour detection.
Background
In the process of processing the wood board, the edge of the edge strip is required to be subjected to edge trimming treatment after slicing, and then the board edge trimming equipment is required to be used;
and to the size that need clear limit behind the plank feeding and leave the plank size detection efficiency low, simultaneously, to the propelling movement of plank mostly use the transfer roller anchor clamps displacement, the action is comparatively slow, proposes a woodwork mechanical equipment based on AI vision xylem profile detection to above-mentioned problem.
Disclosure of Invention
The invention aims to provide woodworking mechanical equipment based on AI vision xylem contour detection, which can carry out efficient edge trimming and cutting on a wood board according to the size of the wood board so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a woodworking mechanical device based on AI visual xylem contour detection, comprising:
the machine case is characterized in that a feeding mechanism and a discharging mechanism are respectively arranged at the left end and the right end of the machine case, a guide plate mechanism for conveying the wood board and a trimming mechanism are sequentially arranged in the machine case from left to right, and the guide plate mechanism comprises a plurality of conveying shafts which are rotatably arranged between the feeding mechanism and the trimming mechanism;
the correcting mechanism comprises a linear motor arranged below the guide plate mechanism and a rotary table fixedly arranged on a rotor seat of the linear motor, a clamp mounting frame extending between two groups of transmission shafts is arranged on the rotary table, a pneumatic clamp is arranged on the clamp mounting frame, and the pneumatic clamp specifically comprises a sliding frame and two groups of clamping plates which are slidably arranged on the sliding frame and are driven by air cylinders;
the AI vision computer system comprises an industrial camera arranged above a feeding hole of the feeding mechanism, a light supplementing lamp for supplementing light for the industrial camera and computer equipment used for processing images in a control box, wherein the control box is arranged on a front side panel of the case.
As a preferred scheme, feed mechanism includes feeding conveying frame and sets up on feeding conveying frame with motor drive's chain conveyer belt, chain conveyer belt and transmission shaft level, and the quick-witted incasement of chain conveyer belt right-hand member is provided with the feed chute that supplies a slice plank to pass through, fixedly on the rear side frame of feeding conveying frame be provided with the vertical alignment board of chain conveyer belt on the front side frame of feeding conveying frame with the parallel stripper plate of alignment board, be provided with push-and-pull structure on the front side frame of feeding conveying frame, push-and-pull structure includes the slide bar and is used for fixed slide bar and fixes the sliding sleeve on feeding conveying frame front side frame, stripper plate and slide bar fixed connection.
As a preferred scheme, the discharging mechanism comprises a discharging conveying frame arranged at the right end of the chassis, and a conveying belt driven by a motor is arranged on the discharging conveying frame.
As a preferred scheme, the edge cleaning mechanism comprises a cutting chamber arranged between the machine case and the discharging mechanism, a cutting table is arranged on a bottom plate in the cutting chamber, a discharging hole communicated with the conveying belt is arranged on the right side of the cutting table, a cutting cutter shaft is rotatably arranged between front and rear end panels at the bottom of the cutting table, cutting blades with gradually increased distance from front to back are fixedly arranged on the cutting cutter shaft, a cutting motor is fixedly arranged on a rear end panel of the cutting table, and a motor shaft of the cutting motor is connected with the cutting cutter shaft.
A wood board edge cleaning method based on woodworking mechanical equipment specifically comprises the following steps:
s1, stacking wood boards between an alignment plate and an extrusion plate of a feeding mechanism in sequence, adjusting the distance between the extrusion plate and the alignment plate, and simultaneously controlling the feeding mechanism, a guide plate mechanism and a discharging mechanism to operate by utilizing a PLC control system to convey the wood boards;
s2, connecting the PLC control system with the AI vision computer system through an industrial protocol, sending a shooting command to the AI vision computer system to carry out shooting processing when the wood board passes through an industrial camera of the AI vision computer system, correspondingly shooting and collecting the outline of the wood board by the AI vision computer system, calculating the outline size of the wood board by using graphic processing, calculating the correction angle and displacement distance of the correction mechanism by finishing calculation on the outline size, giving an instruction to the correction mechanism to clamp the wood board after receiving the information that the AI vision computer system finishes calculation, and then giving the calculated angle and displacement information according to the AI vision computer system, converting and calculating the angle and position information to finally need to be adjusted for the wood board by the correction mechanism through the PLC control system, and controlling the correction mechanism to finish adjustment on the angle and the position of the wood board;
s3, pushing the wood boards with the adjusted positions continuously by using the guide plate mechanism, starting the edge trimming mechanism, trimming the wood boards when the wood boards pass through between two groups of cutting blades of the edge trimming mechanism, discharging the wood boards after edge trimming from the discharging mechanism, and finishing edge trimming treatment on the wood boards.
As a preferred scheme, the AI vision computer system comprises a wood board AI vision xylem contour detection method, which specifically comprises the following steps:
s1, inputting a pretreated wood board picture into a pretrained xylem UNet neural network to obtain a corresponding xylem contour;
s2, after the wood board to be detected enters, performing high-definition imaging on the outline of the wood board front visual xylem by using an industrial camera;
s3, after preprocessing the high-definition image, detecting and positioning, sending the high-definition image into a wood board visual outline detection model for visual algorithm outline recognition, calculating an optimal cutting mode through the wood board outline, ending detection if the calculated optimal cutting width of the wood board is larger than or equal to a set value, inputting the preprocessed wood board picture into a pre-trained wood board UNet neural network to obtain corresponding wood Pi Lunkuo, calculating the optimal cutting mode through the wood board outline, and transmitting cutting information to a PLC (programmable logic controller) control system.
As a preferable scheme, the construction method of the wood board visual contour detection model comprises the following steps:
s1, acquiring shot plank surface picture data through a front vision xylem contour detection device;
s2, marking the data of the picture data on the surface of the wood board;
s3, training the marked data to obtain a wood board visual xylem contour detection model;
s4, deploying the model to a data processing center;
s5, performing contour detection on a plurality of boards by using a board visual xylem contour detection model;
s6, rechecking the detection accuracy of the wood board visual xylem contour detection model, wherein the absolute value of the error is qualified within 1%.
In a preferred embodiment, the computer device comprises a processor and a memory, the memory storing a computer program that is loaded and executed by the processor.
According to the technical scheme provided by the invention, the woodworking mechanical equipment based on AI vision xylem contour detection has the beneficial effects that:
1. the AI vision computer system is used for carrying out image processing on the feeding wood board, so that an optimal cutting mode of the wood board can be calculated, and the position of the wood board is adjusted by the deviation correcting mechanism, so that accurate cutting of the wood board is realized;
2. through setting up the mechanism of rectifying, this mechanism of rectifying is including setting up the revolving stage on the rotor seat of linear motor and fixed mounting in baffle mechanism below, has set up the anchor clamps mounting bracket that stretches into between two sets of transmission shafts on the revolving stage, is provided with pneumatic anchor clamps on the anchor clamps mounting bracket, when the plank passes through, the mechanism of rectifying can be according to PLC control system's control command to the plank clamp of admitting air and get, through rotatory, displacement, in moving the cutting passageway of corresponding plank with the plank, realizes the regulation to plank cutting size.
Drawings
FIG. 1 is a schematic diagram of the overall structure of a woodworking machine based on AI visual xylem contour detection;
FIG. 2 is a schematic diagram of the internal structure of a woodworking machine based on AI visual xylem contour detection;
FIG. 3 is a schematic diagram of a deviation rectifying mechanism according to the present invention.
In the figure: 1. a chassis; 2. a feed mechanism; 21. an alignment plate; 22. an extrusion plate; 23. a push-pull structure; 24. a discharging mechanism; 3. a guide plate mechanism; 4. a deviation correcting mechanism; 41. a linear motor; 42. a rotary table; 43. a pneumatic clamp; 5. a cutting chamber; 51. a cutting table; 52. a cutting blade; 6. a control box; 61. industrial cameras.
Description of the embodiments
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and the specific embodiments.
As shown in fig. 1-3, the embodiment of the invention provides a woodworking mechanical device based on AI vision xylem contour detection, which comprises a chassis 1, a deviation rectifying mechanism 4 and an AI vision computer system for detecting a feeding wood board, wherein the left end and the right end of the chassis 1 are respectively provided with a feeding mechanism 2 and a discharging mechanism 24, a guide plate mechanism 3 for transmitting the wood board and a clearing mechanism are sequentially arranged inside the chassis 1 from left to right, the guide plate mechanism 3 comprises a plurality of transmission shafts rotatably arranged between the feeding mechanism 2 and the clearing mechanism, the deviation rectifying mechanism 4 comprises a linear motor 41 arranged below the guide plate mechanism 3 and a rotary table 42 fixedly arranged on a rotor seat of the linear motor 41, a clamp mounting frame extending between the two groups of transmission shafts is arranged on the rotary table 42, a pneumatic clamp is arranged on the clamp mounting frame, the pneumatic clamp specifically comprises a sliding frame and two groups of clamping plates which are driven by air cylinders and are arranged on the sliding frame, the AI vision computer system comprises an industrial camera 61 arranged above the feeding port of the feeding mechanism 2, a light supplementing lamp for the industrial camera 61 and a computer device for processing images in a control box 6, the control box 6 is arranged on the front side panel of the chassis 1 and comprises a processor, the computer is arranged on a processor and a loading end of the computer 24 is arranged on the computer and a processor is arranged on the processor.
Referring to fig. 1, the feeding mechanism 2 includes a feeding conveying frame and a chain conveying belt driven by a motor and arranged on the feeding conveying frame, the chain conveying belt is horizontal to a conveying shaft, a feeding groove for a wood board to pass through is arranged in a chassis 1 at the right end of the chain conveying belt, an alignment plate 21 perpendicular to the chain conveying belt is fixedly arranged on a rear side frame of the feeding conveying frame, a squeeze plate 22 parallel to the alignment plate 21 is arranged on a front side frame of the feeding conveying frame, a push-pull structure 23 is arranged on a front side frame of the feeding conveying frame, the push-pull structure includes a slide bar and a sliding sleeve for fixing the slide bar and fixed on the front side frame of the feeding conveying frame, the squeeze plate 22 is fixedly connected with the slide bar, the wood board entering the chassis 1 can be limited by adjusting the interval between the squeeze plate 22 and the alignment plate 21, and the wood board attached to the bottom layer and the chain conveying belt enters the chassis 1 under the driving of the chain conveying belt, so that the wood board can be fed one by one.
Referring to fig. 2, the edge cleaning mechanism includes a cutting chamber 5 disposed between the chassis 1 and the discharging mechanism 24, a cutting table 51 is disposed on a bottom plate inside the cutting chamber 5, a discharging port communicated with the conveying belt is disposed on the right side of the cutting table 51, a cutting knife shaft is rotatably disposed between front and rear end panels of the bottom of the cutting table 51, a cutting blade 52 with a distance gradually increasing from front to back is fixedly disposed on the cutting knife shaft, a cutting motor is fixedly disposed on a rear end panel of the cutting table 51, a motor shaft of the cutting motor is connected with the cutting knife shaft, by disposing a deviation correcting mechanism 4, the deviation correcting mechanism 4 includes a linear motor 41 disposed below the guide plate mechanism 3 and a rotary table 42 fixedly mounted on a rotor seat of the linear motor 41, a clamp mounting frame extending between two groups of transmission shafts is disposed on the rotary table 42, a pneumatic clamp 43 is disposed on the clamp mounting frame, when a wood board passes through, the deviation correcting mechanism 4 can clamp the air inlet according to a control command of the PLC control system, and the wood board is moved into a cutting channel of the corresponding wood board through rotation and displacement, and adjustment of the cutting size of the wood board is achieved.
A wood board edge cleaning method based on woodworking mechanical equipment specifically comprises the following steps:
s1, stacking wood boards between an alignment plate and an extrusion plate of a feeding mechanism in sequence, adjusting the distance between the extrusion plate and the alignment plate, and simultaneously controlling the feeding mechanism, a guide plate mechanism and a discharging mechanism to operate by utilizing a PLC control system to convey the wood boards;
s2, connecting the PLC control system with the AI vision computer system through an industrial protocol, sending a shooting command to the AI vision computer system to carry out shooting processing when the wood board passes through an industrial camera of the AI vision computer system, correspondingly shooting and collecting the outline of the wood board by the AI vision computer system, calculating the outline size of the wood board by using graphic processing, calculating the correction angle and displacement distance of the correction mechanism by finishing calculation on the outline size, giving an instruction to the correction mechanism to clamp the wood board after receiving the information that the AI vision computer system finishes calculation, and then giving the calculated angle and displacement information according to the AI vision computer system, converting and calculating the angle and position information to finally need to be adjusted for the wood board by the correction mechanism through the PLC control system, and controlling the correction mechanism to finish adjustment on the angle and the position of the wood board;
s3, pushing the wood boards with the adjusted positions continuously by using the guide plate mechanism, starting the edge trimming mechanism, trimming the wood boards when the wood boards pass through between two groups of cutting blades of the edge trimming mechanism, discharging the wood boards after edge trimming from the discharging mechanism, and finishing edge trimming treatment on the wood boards.
Further, the AI vision computer system comprises a wood board AI vision xylem contour detection method, which specifically comprises the following steps:
s1, inputting a pretreated wood board picture into a pretrained xylem UNet neural network to obtain a corresponding xylem contour;
s2, after the wood board to be detected enters, performing high-definition imaging on the outline of the wood board front visual xylem by using an industrial camera;
s3, after preprocessing the high-definition image, detecting and positioning, sending the high-definition image into a wood board visual outline detection model for visual algorithm outline recognition, calculating an optimal cutting mode through the wood board outline, ending detection if the calculated optimal cutting width of the wood board is larger than or equal to a set value, inputting the preprocessed wood board picture into a pre-trained wood board UNet neural network to obtain corresponding wood Pi Lunkuo, calculating the optimal cutting mode through the wood board outline, and transmitting cutting information to a PLC (programmable logic controller) control system.
Further, the construction method of the wood board visual contour detection model comprises the following steps:
s1, acquiring shot plank surface picture data through a front vision xylem contour detection device;
s2, marking the data of the picture data on the surface of the wood board;
s3, training the marked data to obtain a wood board visual xylem contour detection model;
s4, deploying the model to a data processing center;
s5, performing contour detection on a plurality of boards by using a board visual xylem contour detection model;
s6, rechecking the detection accuracy of the wood board visual xylem contour detection model, wherein the absolute value of the error is qualified within 1%.
Embodiments of the present invention will be described in further detail below with reference to the attached drawings:
referring to fig. 1-3, the automatic feeding machine comprises a machine case 1, a deviation rectifying mechanism 4 and an AI vision computer system for detecting feeding boards, wherein the interior of the machine case 1 is divided into an AB two-channel, a feeding mechanism 2 and a discharging mechanism 24 are respectively arranged at the left end and the right end of the AB two-channel on the machine case 1, a guide plate mechanism 3 for conveying boards and a clearing mechanism are sequentially arranged inside the machine case 1 from left to right, the guide plate mechanism 3 comprises a plurality of transmission shafts which are rotatably arranged between the feeding mechanism 2 and the clearing mechanism, the deviation rectifying mechanism 4 comprises a linear motor 41 arranged below the guide plate mechanism 3 and a rotary table 42 fixedly arranged on a rotor seat of the linear motor 41, a clamp mounting frame which stretches into the two groups of transmission shafts is arranged on the rotary table 42, a pneumatic clamp is arranged on the clamp mounting frame, the pneumatic clamp particularly comprises a sliding frame and two groups of clamping plates which are driven by air cylinders and are arranged on the sliding frame, the AI vision system comprises an industrial camera 61 arranged above the feeding opening of the feeding mechanism 2, a light supplementing lamp for supplementing the industrial camera 61 and computer equipment for processing images in the control box 6, the control box 6 is arranged on the machine case 1, the front computer equipment of the computer comprises a processor and a loading program arranged on the computer and a loading machine 24, and a processor is arranged on the machine carrier and a delivery carrier.
In this embodiment, feed mechanism 2 includes feeding conveying frame and sets up on feeding conveying frame with motor drive's chain conveyer belt, chain conveyer belt and transmission shaft level, and be provided with the feed chute that supplies a slice plank to pass through in the quick-witted case 1 of chain conveyer belt right-hand member, fixedly on the rear side frame of feeding conveying frame be provided with the perpendicular alignment board 21 of chain conveyer belt, be provided with on the front side frame of feeding conveying frame with alignment board 21 parallel stripper plate 22, be provided with push-and-pull structure 23 on the front side frame of feeding conveying frame, push-and-pull structure includes the slide bar and is used for fixed slide bar and fixes the sliding sleeve on feeding conveying frame front side frame, stripper plate 22 and slide bar fixed connection.
In this embodiment, the trimming mechanism includes the cutting room 5 that sets up between quick-witted case 1 and discharge mechanism 24, is provided with cutting table 51 on the inside bottom plate of cutting room 5, and cutting table 51 right side is provided with the discharge gate with the conveyer belt intercommunication, rotates between the front and back both ends panel of cutting table 51 bottom and is provided with the cutting arbor, and the fixed cutting blade 52 that is provided with the interval from front to back progressively increases on the cutting arbor, fixedly is provided with cutting motor on the rear end panel of cutting table 51, and cutting motor's motor shaft is connected with the cutting arbor.
The working principle of the embodiment is as follows: the device uses a PLC control system to collect two-channel on-site sensor signals, is connected with an AI vision computer system through an industrial protocol, controls an AB two correction mechanisms 4 and each conveying unit, and the correction mechanisms 4 can finish correction accurately and rapidly by using a servo control system;
after the PLC control system receives the feeding signals, the feeding mechanism 2 and the guide plate mechanism 3 are driven to respectively convey the timber of the AB two channels into the photographing range area of the industrial camera 61, the PLC control system sends a photographing command to the industrial camera 61 to photograph, the AI vision computer system correspondingly photographs and collects the profiles of the timber of the AB two channels, the AI vision computer system cross identifies the timber of the AB two channels, the AI vision computer system calculates the profile size through the graphic processing of the AB channels, the calculation of the profile size is finished, the correction angle and the displacement distance of the corresponding correction mechanism 4 in the AB channel are calculated respectively, after the PLC control system receives the information that the AI vision computer system finishes the calculation, an instruction is given to the correction mechanism 4 to clamp the timber according to the calculated angle and the displacement information given by the AI vision computer system, the final angle and the position information corresponding to the servo motor of the correction mechanism 4 in the AB channel are converted and calculated through the PLC control system, the guide plate mechanism 3 of the AB two channels moves to the corresponding edge cleaning mechanism to cut the trimming mechanism to cut the timber, and then the trimming operation of the timber is finished.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Woodworking mechanical equipment based on AI vision xylem profile detection, its characterized in that: comprising the following steps:
the machine box comprises a machine box (1), wherein a feeding mechanism (2) and a discharging mechanism (24) are respectively arranged at the left end and the right end of the machine box (1), a guide plate mechanism (3) for conveying wood boards and a trimming mechanism are sequentially arranged in the machine box (1) from left to right, and the guide plate mechanism (3) comprises a plurality of transmission shafts which are rotatably arranged between the feeding mechanism (2) and the trimming mechanism;
the correcting mechanism (4) comprises a linear motor (41) arranged below the guide plate mechanism (3) and a rotary table (42) fixedly arranged on a rotor seat of the linear motor (41), a clamp mounting frame extending between two groups of transmission shafts is arranged on the rotary table (42), a pneumatic clamp is arranged on the clamp mounting frame, and the pneumatic clamp specifically comprises a sliding frame and two groups of clamping plates which are slidably arranged on the sliding frame and are driven by air cylinders;
an AI vision computer system for detecting feeding plank, AI vision computer system is including setting up industrial camera (61) in feed mechanism (2) feed inlet department top, being the light filling lamp of industrial camera (61) light filling and the computer equipment who is used for handling the image in control box (6), control box (6) set up on the front panel of quick-witted case (1).
2. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the feeding mechanism (2) comprises a feeding conveying frame and a chain conveying belt which is arranged on the feeding conveying frame and driven by a motor, the chain conveying belt is horizontal to a conveying shaft, a feeding groove for a wood plate to pass through is formed in a chassis (1) at the right end of the chain conveying belt, an alignment plate (21) perpendicular to the chain conveying belt is fixedly arranged on a rear side frame of the feeding conveying frame, an extrusion plate (22) parallel to the alignment plate (21) is arranged on a front side frame of the feeding conveying frame, a push-pull structure (23) is arranged on the front side frame of the feeding conveying frame, and the push-pull structure comprises a sliding rod and a sliding sleeve which is used for fixing the sliding rod and is fixed on the front side frame of the feeding conveying frame, and the extrusion plate (22) is fixedly connected with the sliding rod.
3. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the discharging mechanism (24) comprises a discharging conveying frame arranged at the right end of the chassis (1), and a conveying belt driven by a motor is arranged on the discharging conveying frame.
4. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the edge cleaning mechanism comprises a cutting chamber (5) arranged between a chassis (1) and a discharging mechanism (24), a cutting table (51) is arranged on a bottom plate inside the cutting chamber (5), a discharging hole communicated with a conveying belt is formed in the right side of the cutting table (51), a cutting cutter shaft is rotatably arranged between front end face plates and rear end face plates of the bottom of the cutting table (51), cutting blades (52) with gradually increased intervals are fixedly arranged on the cutting cutter shaft from front to back, a cutting motor is fixedly arranged on a rear end face plate of the cutting table (51), and a motor shaft of the cutting motor is connected with the cutting cutter shaft.
5. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the method for trimming the wood board based on the woodworking mechanical equipment comprises the following steps:
s1, stacking wood boards between an alignment plate and an extrusion plate of a feeding mechanism in sequence, adjusting the distance between the extrusion plate and the alignment plate, and simultaneously controlling the feeding mechanism, a guide plate mechanism and a discharging mechanism to operate by utilizing a PLC control system to convey the wood boards;
s2, connecting the PLC control system with the AI vision computer system through an industrial protocol, sending a shooting command to the AI vision computer system to carry out shooting processing when the wood board passes through an industrial camera of the AI vision computer system, correspondingly shooting and collecting the outline of the wood board by the AI vision computer system, calculating the outline size of the wood board by using graphic processing, calculating the correction angle and displacement distance of the correction mechanism by finishing calculation on the outline size, giving an instruction to the correction mechanism to clamp the wood board after receiving the information that the AI vision computer system finishes calculation, and then giving the calculated angle and displacement information according to the AI vision computer system, converting and calculating the angle and position information to finally need to be adjusted for the wood board by the correction mechanism through the PLC control system, and controlling the correction mechanism to finish adjustment on the angle and the position of the wood board;
s3, pushing the wood boards with the adjusted positions continuously by using the guide plate mechanism, starting the edge trimming mechanism, trimming the wood boards when the wood boards pass through between two groups of cutting blades of the edge trimming mechanism, discharging the wood boards after edge trimming from the discharging mechanism, and finishing edge trimming treatment on the wood boards.
6. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the AI vision computer system comprises a wood board AI vision xylem contour detection method, and specifically comprises the following steps:
s1, inputting a pretreated wood board picture into a pretrained xylem UNet neural network to obtain a corresponding xylem contour;
s2, after the wood board to be detected enters, performing high-definition imaging on the outline of the wood board front visual xylem by using an industrial camera;
s3, after preprocessing the high-definition image, detecting and positioning, sending the high-definition image into a wood board visual outline detection model for visual algorithm outline recognition, calculating an optimal cutting mode through the wood board outline, ending detection if the calculated optimal cutting width of the wood board is larger than or equal to a set value, inputting the preprocessed wood board picture into a pre-trained wood board UNet neural network to obtain corresponding wood Pi Lunkuo, calculating the optimal cutting mode through the wood board outline, and transmitting cutting information to a PLC (programmable logic controller) control system.
7. The AI visual xylem profile-based woodworking machine of claim 6, wherein: the construction method of the wood board visual contour detection model comprises the following steps:
s1, acquiring shot plank surface picture data through a front vision xylem contour detection device;
s2, marking the data of the picture data on the surface of the wood board;
s3, training the marked data to obtain a wood board visual xylem contour detection model;
s4, deploying the model to a data processing center;
s5, performing contour detection on a plurality of boards by using a board visual xylem contour detection model;
s6, rechecking the detection accuracy of the wood board visual xylem contour detection model, wherein the absolute value of the error is qualified within 1%.
8. A woodworking machine based on AI visual xylem contour detection as claimed in claim 1, wherein: the computer device includes a processor and a memory having a computer program stored therein, the computer program being loaded and executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310129385.0A CN116352817B (en) | 2023-02-17 | 2023-02-17 | Woodworking mechanical equipment based on AI vision xylem contour detection |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310129385.0A CN116352817B (en) | 2023-02-17 | 2023-02-17 | Woodworking mechanical equipment based on AI vision xylem contour detection |
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