阅读说明：本技术 一种钢结构零件智能分拣系统及方法 (Intelligent sorting system and method for steel structure parts ) 是由 庄冰 于 2021-09-16 设计创作，主要内容包括：本发明提供了一种钢结构零件智能分拣系统及方法,包括：传送机构,包括传送带,用于根据触发条件,将钢结构零件传送至激光相机的扫描范围；钢结构零件智能识别机构,包括激光相机,用于扫描得到钢结构零件的三维模型图像,将钢结构零件的三维模型图像与零件图纸模板库中的零件进行匹配并判断钢结构零件是否合格,得到钢结构零件的料框编号；以及分拣机器人,用于根据料框编号,将传送带上的钢结构零件分拣到所述料框编号对应的料框中。(The invention provides an intelligent sorting system and method for steel structure parts, which comprises the following steps: the conveying mechanism comprises a conveying belt and is used for conveying the steel structure part to the scanning range of the laser camera according to the triggering condition; the intelligent identification mechanism for the steel structure part comprises a laser camera and is used for scanning to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part; and the sorting robot is used for sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.)

1. The utility model provides a steel construction part intelligence letter sorting system which characterized in that includes:

the conveying mechanism comprises a conveying belt and is used for conveying the steel structure part to the scanning range of the laser camera according to the triggering condition;

the intelligent identification mechanism for the steel structure part comprises a laser camera and is used for scanning to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and the sorting robot is used for sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

2. The intelligent sorting system for steel structural parts according to claim 1, wherein the conveying mechanism comprises a conveying belt feeding end, a plurality of magnetic induction type proximity switches are arranged below the conveying belt feeding end, and when the steel structural parts are placed on the conveying belt feeding end, the magnetic induction type proximity switches trigger the conveying belt to start so as to convey the steel structural parts to a scanning range of the laser camera.

3. The intelligent sorting system for steel structural parts according to claim 2, wherein the conveying mechanism comprises a conveying belt discharging end, and after the qualified steel structural parts are conveyed to the conveying belt discharging end through the conveying belt, the sorting robot sorts the steel structural parts into the material frames corresponding to the material frame numbers according to a preset route.

4. The intelligent sorting system for steel structural parts according to claim 3, wherein the conveying mechanism is further used for judging whether steel structural parts exist at the discharging end of the conveying belt or not after the steel structural parts are placed at the discharging end of the conveying belt, if yes, the conveying mechanism continues to wait for the sorting robot to pick, and if not, the conveying belt is started.

5. The intelligent sorting system for steel structure parts according to claim 1, wherein the conveying mechanism comprises a control operation platform, a PLC control system is arranged on the control operation platform, the PLC control system controls the conveyor belt to run through a servo motor, and the PLC control system controls the laser camera to be turned on according to the running distance of the servo motor.

6. The intelligent sorting system for steel structure parts according to claim 1, wherein a laser camera installation box is arranged at a set position above the conveyor belt, a laser camera is installed in the laser camera installation box, and the laser camera scans the steel structure parts on the conveyor belt to obtain a three-dimensional model image of the steel structure parts.

7. The intelligent sorting system for steel structural parts according to claim 1, wherein the process of obtaining the material frame number of the steel structural part comprises:

constructing a part drawing template library;

extracting the outline of the graph according to the height of the three-dimensional model image of the steel structure part;

extracting characteristic values of a three-dimensional model image of the steel structure part, wherein the characteristic values comprise: part height, hole number;

extracting the geometric center of the three-dimensional model image of the steel structure part as a grabbing point grabbed by the sorting robot;

screening a drawing template sub-library in a part drawing template library according to the characteristic value;

matching in the drawing template sub-library according to the outline of the graph to obtain the part model;

the method comprises the steps of comparing a three-dimensional model image of the steel structure part with drawings in a part drawing template library to obtain a machining error of the part, judging whether the part is qualified or not based on the machining error of the part, and sending the material frame number of the steel structure part corresponding to matching information and qualified judgment information to a sorting robot.

8. The intelligent sorting system for steel structural parts according to claim 6, wherein the sorting robot acquires coordinates of the steel structural parts, and the steel structural parts are grabbed by electromagnets arranged at the tail end of the sorting robot.

9. The intelligent sorting system for steel structural parts according to claim 1, wherein a material frame is arranged at the tail end of the conveying mechanism.

10. The intelligent sorting method for the steel structure parts is characterized by comprising the following steps:

transmitting the steel structure part to a scanning range of a laser camera according to a trigger condition;

scanning by the laser camera to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library, and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

Technical Field

The invention belongs to the technical field of intelligent sorting, and particularly relates to an intelligent sorting system and method for steel structure parts.

Background

The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.

In the steel structure processing production, the sorting of steel structure welding parts is one of important processes, and the main purpose is to identify and sort the parts required by welding a complete steel structure by a downstream welding process, and simultaneously reject unqualified parts. At present, parts are mainly sorted manually, the efficiency is low, the labor intensity is high, similar parts are difficult to distinguish, and the machining error of the parts cannot be quantitatively judged. Research steel construction part's full-automatic intelligent sorting system in to improving part letter sorting operating efficiency, reduce operating personnel, protection workman personal safety reduces the operation cost and has the significance.

With the development of steel structure buildings in China towards high-rise heavy and space large-span directions, the requirements on the quality and the yield of steel structure production are gradually improved, and higher requirements are also provided for the equipment level of the steel structure industry. At present, the steel structure manufacturing industry in China is still large and weak, the automation degree of equipment is low, and the gap between the steel structure manufacturing industry and the foreign advanced level is large in the aspects of independent innovation capability, resource utilization efficiency, quality benefit and the like. The core equipment of steel structure part production all is imported abroad, and the price is high and can not adapt to domestic steel construction production current situation completely, consequently needs independently to research and develop steel construction intelligent production equipment promptly, breaks the foreign technology monopoly, improves production efficiency and quality.

Disclosure of Invention

The invention provides an intelligent sorting system and method for steel structure parts, which aim to solve the problems, integrates the intelligent identification and qualification judgment technology of the steel structure parts, the material frame position number distribution algorithm and the automatic grabbing technology of an industrial robot, and can effectively meet the sorting requirement of the steel structure parts.

According to some embodiments, the invention adopts the following technical scheme:

in a first aspect, the invention provides an intelligent sorting system for steel structure parts.

The utility model provides a steel construction part intelligence letter sorting system, includes:

the conveying mechanism comprises a conveying belt and is used for conveying the steel structure part to the scanning range of the laser camera according to the triggering condition;

the intelligent identification mechanism for the steel structure part comprises a laser camera and is used for scanning to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and the sorting robot is used for sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

Further, transport mechanism includes conveyer belt material loading end, conveyer belt material loading end below is equipped with a plurality of magnetic induction formula proximity switch, and when steel structure part placed on the conveyer belt material loading end, magnetic induction formula proximity switch triggered the conveyer belt and starts, conveys steel structure part to laser camera's scanning scope.

Further, the conveying mechanism comprises a conveying belt discharging end, and after the qualified steel structure parts are conveyed to the conveying belt discharging end through the conveying belt, the sorting robot sorts the steel structure parts into the material frames corresponding to the material frame numbers according to a preset route.

Further, the conveying mechanism is further used for judging whether steel structure parts exist at the lower discharging end of the conveying belt after the steel structure parts are placed at the upper discharging end of the conveying belt, if yes, the conveying mechanism continues to wait for the sorting robot to grab, and otherwise, the conveying belt is started.

Further, the conveying mechanism comprises a control operation platform, a PLC control system is arranged on the control operation platform, the PLC control system controls the conveyor belt to run through the servo motor, and the PLC control system controls the laser camera to be started according to the running distance of the servo motor.

Further, a laser camera installation box is arranged at a set position above the conveyor belt, a laser camera is installed in the laser camera installation box, and the laser camera scans the steel structure parts on the conveyor belt to obtain three-dimensional model images of the steel structure parts.

Further, the process of obtaining the material frame number of the steel structure part comprises the following steps:

constructing a part drawing template library;

extracting the outline of the graph according to the height of the three-dimensional model image of the steel structure part;

extracting characteristic values of a three-dimensional model image of the steel structure part, wherein the characteristic values comprise: part height, hole number;

extracting the geometric center of the three-dimensional model image of the steel structure part as a grabbing point grabbed by the sorting robot;

screening a drawing template sub-library in a part drawing template library according to the characteristic value;

matching in the drawing template sub-library according to the outline of the graph to obtain the part model;

the method comprises the steps of comparing a three-dimensional model image of the steel structure part with drawings in a part drawing template library to obtain a machining error of the part, judging whether the part is qualified or not based on the machining error of the part, and sending the material frame number of the steel structure part corresponding to matching information and qualified judgment information to a sorting robot.

Further, the sorting robot acquires the coordinates of the steel structure parts, and the steel structure parts are grabbed through electromagnets arranged at the tail ends of the sorting robot.

Furthermore, a material frame is arranged at the tail end of the conveying mechanism.

In a second aspect, the invention provides an intelligent sorting method for steel structure parts.

An intelligent sorting method for steel structure parts comprises the following steps:

transmitting the steel structure part to a scanning range of a laser camera according to a trigger condition;

scanning by the laser camera to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library, and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

Compared with the prior art, the invention has the beneficial effects that:

after the intelligent sorting system for the steel structure parts is applied, the intelligent and automatic sorting of the parts is realized, the problem of pain in steel structure processing and production is solved, and good benefits are created for steel structure processing enterprises. Each set of system saves two operators, the sorting speed can reach 300 pieces/hour, the sorting speed is more than two times of manual sorting, unqualified pieces are timely found and eliminated through quality judgment of the steel structural member, the rejection rate and rework amount of subsequent procedures are reduced, the speed and the precision of field installation of the steel structural member are improved, and a large amount of cost is saved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.

FIG. 1 is a structural diagram of an intelligent sorting system for steel structural parts, which is shown in the invention;

FIG. 2 is a flow chart of a three-dimensional model image creation scheme for a part shown in the present invention;

FIG. 3 is an assembly view of a laser scanning camera mounting case shown in the present invention;

FIG. 4 is a flow chart illustrating the matching and qualification of parts according to the present invention;

FIG. 5 is a flow chart illustrating the implementation of the automatic material frame distribution system of the present invention;

the automatic sorting machine comprises a conveyor belt feeding end, a control operation table, a sorting robot control cabinet, a conveyor belt discharging end, a sorting robot control cabinet, a laser camera mounting cabinet, a sorting robot control cabinet, a laser mounting cabinet, a camera mounting cabinet, a laser mounting cabinet, a sorting robot control cabinet, a stainless steel fixing panel, a conveyor belt, a sorting robot control cabinet, a conveyor belt control cabinet, a sorting robot control cabinet, a laser mounting cabinet, a laser mounting cabinet, a laser mounting cabinet.

The specific implementation mode is as follows:

the invention is further described with reference to the following figures and examples.

It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

In the present invention, terms such as "upper", "lower", "side", "end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only terms of relationships determined for convenience in describing structural relationships of the parts or elements of the present invention, and do not particularly indicate any parts or elements of the present invention, and are not to be construed as limiting the present invention.

In the present invention, terms such as "connected" and "connecting" should be interpreted broadly, and mean either a fixed connection or an integral connection or a detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be determined according to specific situations by persons skilled in the relevant scientific or technical field, and are not to be construed as limiting the present invention.

In recent years, machine vision technology and industrial robots are applied more and more widely in industrial production, and good control effect and economic benefit are achieved. The machine vision technology is an important branch of industrial intelligent technology, graphic data of an object are obtained through a camera, a 3D image model of the object is obtained through a data reconstruction algorithm, and then required characteristic values are extracted to participate in industrial automatic control, and the machine vision technology is matched with an industrial robot to achieve intelligent and unmanned industrial production. Combine steel construction part letter sorting process flow, in the steel construction part letter sorting work flow who uses machine vision modeling formation of image and industrial robot technique, scan the 3D model of restructuring steel construction part, draw characteristic value and marginal curve such as the hole number of part, thickness, realize steel construction part's automatic identification and qualified judgement, combine industrial robot to snatch the steel construction part automatically, can realize the intelligent mechanized operation of steel construction part letter sorting, improve letter sorting work efficiency.

Example one

This embodiment provides a steel construction part intelligence letter sorting system.

The utility model provides a steel construction part intelligence letter sorting system, includes:

the conveying mechanism comprises a conveying belt and is used for conveying the steel structure part to the scanning range of the laser camera according to the triggering condition;

the intelligent identification mechanism for the steel structure part comprises a laser camera and is used for scanning to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and the sorting robot is used for sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

Specifically, the intelligent sorting system for steel structure parts in the embodiment mainly comprises two parts, namely hardware equipment and a software system. The hardware equipment mainly comprises: the automatic sorting machine comprises a conveyor belt feeding end 1, a control operation platform 2, a sorting robot control cabinet 3, a conveyor belt feeding end 4, an unqualified part material frame 5, a material frame 6, a material frame 7, a laser camera installation box 8, a sorting robot ground rail 9, a sorting robot 10, a conveyor belt and the like, and the hardware plane layout is as shown in figure 1.

The conveyer belt is controlled by the PLC system, uses servo motor drive, guarantees the at the uniform velocity of conveyer belt operation stable, and the conveyer belt material loading end sets up magnetic induction formula proximity switch, when having the steel structure spare on the conveyer belt, triggers the conveyer belt operation.

Set up laser camera install bin 8 at the conveyer belt intermediate position, 3D laser camera installs in laser camera install bin 8, scans the steel construction part on the conveyer belt, obtains the three-dimensional model of part.

The PLC control system, the upper computer and the operation screen are all installed on the control operation platform 2, and the whole system is operated and controlled.

The sorting robot 10 is arranged on a sorting robot ground rail 9, receives a command sent by a control system, grabs steel structure parts at the discharging end 4 of the conveyor belt and sends the steel structure parts to a specified material frame; two rows of material frames are arranged, each row is two layers, and the material frames are used for placing parts of different types after sorting.

The software system includes: the PLC logic control system of the conveyor belt (a Begali soft PLC system can be adopted, and development software is automatic Studio), the trigger acquisition system of a camera and a part graphic data processing system (development software is Halcon software developed by Germany MVtec company), the automatic material frame distribution system, the automatic sorting robot control system (a KUKA robot programming language can be adopted, and KRL for short) and the like. The conveyor belt is driven by a servo motor, and the start, the stop and the uniform-speed operation of the conveyor belt machine are realized through PLC programming; the steel structure part passes through a laser scanning camera at a constant speed on a conveyor belt, and the camera is automatically triggered to scan and stop through a proximity switch and time control, so that a complete 3D image file of the part is obtained; processing the 3D image of the part by image processing software, extracting information such as a boundary outline, a characteristic value, a capture point coordinate and the like of the part, comparing the information with a drawing template of the part, matching to obtain a part model, and judging whether the part model is qualified; the material frame automatic distribution software distributes the material frame number for the part according to the identified part model; the sorting robot 10 receives the material frame number and the grabbing point coordinates, automatically puts the parts into the appointed material frame, and realizes the automatic control of the sorting of the steel structure parts.

Wherein, the flow chart of the execution process of the automatic material frame distribution system is shown in fig. 5:

matching the acquired images in Halcon software to obtain part classification numbers;

inquiring the classification plan number to obtain the plan number of the part;

judging whether the number of the plan numbers is larger than 1, if so, comparing the number, and if not, sorting and putting into a frame;

comparing the quantity to determine whether the quantity is the same, if so, comparing the difference and the position numbers with large quantity, and sorting the position numbers into frames; wherein the difference is the difference between the number of required parts and the number in the actual frame.

Judging whether the difference is the same or not, if so, comparing the position numbers to obtain a minimum position number, and sorting the minimum position number into a frame; if not, obtaining the position number with small difference, and sorting into frames.

The intelligent sorting control scheme for the steel-structure parts mainly comprises three parts, namely part three-dimensional model establishment, matching and qualification judgment of the parts, and automatic grabbing and sorting by a sorting robot.

Part three-dimensional model establishing scheme

The establishment of the three-dimensional model of the part needs the cooperation of a conveyor belt system and a laser scanning camera, the conveyor belt system is controlled by a PLC, a magnetic induction type proximity switch is arranged at a feeding end 1 of the conveyor belt, when the part is placed at the feeding end 1 of the conveyor belt, the proximity switch is triggered, a PLC program obtains a trigger signal and then sends out a servo electric starting command, and a servo motor operates at a constant speed according to a set speed. The distance from a proximity switch to a laser camera scanning line on a conveyor belt is fixed, the running speed of the conveyor belt is fixed, therefore, the scanner is controlled to be started through the running distance of a servo motor, the proximity switch triggers the conveyor belt to run, after the conveyor belt runs for 1500mm, a PLC sends a signal to a laser camera, a laser is started to scan, the laser camera scans for 4000 periods, scanning is stopped, a complete 3D picture of a part is obtained, the conveyor belt runs for 5000mm and then reaches the lower discharging end 4 of the conveyor belt to stop, the part stops on the conveyor belt, the next-step grabbing operation of a sorting robot 10 is waited, if the part is not processed in the discharging area, even if a new part exists in the feeding area, the conveyor belt cannot be triggered to run. The flow chart of the part three-dimensional model building control is shown in fig. 2.

In order to install the laser scanning camera and simultaneously facilitate the adjustment of the scanning range of the scanner, a laser camera installation box 8 with the installation position adjustable up and down is designed, and the laser camera installation box 8 is fixed on the ground through anchor screws. The laser scanning camera mounting box 8 is shown in fig. 3: the laser scanning camera mounting box 8 is assembled by mounting feet 11, a light screen 12, a box door 13, hoisting bolts 14, a stainless steel fixing panel 15, a camera mounting crossbeam 16 with adjustable upper and lower positions, an aluminum alloy box body frame 17 and a box door lock 18.

Matching and qualification scheme for parts

And after the 3D image of the part is obtained, processing the image by using image processing software to obtain the required control information. The first step is as follows: importing a CAD drawing of the part design, and establishing a part drawing template library; the second step is that: extracting the outline of the graph according to the height information of the scanning model; the third step: extracting feature values such as the height of the part, the number of holes and the like; the fourth step: extracting the geometric center of the steel structural member as a grabbing point; fifthly, screening the template through the number and the thickness of the holes; and a sixth step: matching in the screened template library according to the extracted outline, and searching for the part model; the seventh step: comparing the actual size of the part with a drawing template to obtain a part machining error, and judging whether the part is qualified or not; eighth step: and sending the matching and judging information to feeding box distribution software. A flow chart of the matching and qualification determination of parts is shown in fig. 4.

Wherein, the process of establishing the part drawing template library comprises the following steps: automatically analyzing respective DXF files of hundreds of parts and characteristic values such as thickness, side length, hole number, side number and the like from BIM three-dimensional files of steel structure engineering projects, and establishing a standard graphic library of the steel structure parts as a graphic library for part matching and quality judgment through the DXF files.

The matching method of the steel structure parts comprises the following steps: the method comprises the steps of firstly extracting characteristic values of three-dimensional graphs of the steel structure parts, wherein the main characteristic values comprise hole number, thickness, edge number and the like, screening and reducing the number of part templates in a standard graph library through the characteristic values, then extracting surface outlines of the steel structure parts, and obtaining part models through comparison with the image outlines of the standard graph library to realize part sorting. Can sort like this that the surface profile is the same, but the thickness is different or the steel construction part that the trompil is different, improves the success rate and the matching speed of matching. Within 3s of the matching speed.

Automatic grabbing and sorting scheme of sorting robot

The system selects a six-axis sorting robot to automatically grab steel structure parts, and the sorting robot 10 runs on the sorting robot ground rail 9. Two layers of material racks 7 are respectively arranged on two sides of the ground rail 9 of the sorting robot, and the total number of the material frames on the material racks 7 is 40, namely 6. Firstly, the walking track of the sorting robot 10 is set, the sorting robot 10 grabs steel structure parts from the feeding end 4 of the conveyor belt and sends the steel structure parts to the material frame 6 appointed by the material frame 7, and the total number of the material frame positions is 40, so that 40 different running tracks are planned for the sorting robot 10, the transportation stability and reliability are ensured, and the collision between the parts and the material frame is avoided. The grabbing path of the sorting robot 10 is realized through a simulation program, and a mechanical arm running path with the fastest grabbing speed of each material frame and without collision of the material frames is obtained. The number of the material frames, the material racks and the track of the sorting robot 10 is only one embodiment of the present embodiment, and includes but is not limited thereto.

The material frame distribution software receives the part model information and the qualification judgment information of the image processing, runs a part distribution algorithm program, automatically generates the material frame number to which the part is distributed, and sends the material frame number to which the part needs to be sent to the controller of the sorting robot 10. And the tail end of the sorting robot 10 is provided with an electromagnet, the coordinates of the geometric center of the steel structure parts are extracted according to image processing software, the parts are grabbed by the electromagnet, and then the parts are distributed into a specified material frame according to a set track, so that the automatic sorting of the steel structure parts is completed.

The sorting strategies of the parts are various, the parts of the same type can be sorted into a material frame, and the parts required by the same welding part can also be sorted into a frame.

The three-dimensional model of the steel structure parts is established through the embodiment, the steel structure parts are automatically identified and matched with the part numbers and qualified quality judgment is carried out, and the intellectualization and automation of steel structure part sorting are realized. The method saves operators, improves the production speed of the steel structure, saves the rework cost and creates good economic benefits for steel structure processing enterprises. Steel construction part intelligence letter sorting system has reduced workman's intensity of labour, has improved the security of production.

Example two

The embodiment provides an intelligent sorting method for steel structure parts.

An intelligent sorting method for steel structure parts comprises the following steps:

transmitting the steel structure part to a scanning range of a laser camera according to a trigger condition;

scanning by the laser camera to obtain a three-dimensional model image of the steel structure part, matching the three-dimensional model image of the steel structure part with parts in a part drawing template library, and judging whether the steel structure part is qualified or not to obtain a material frame number of the steel structure part;

and sorting the steel structure parts on the conveyor belt into the material frames corresponding to the material frame numbers according to the material frame numbers.

The embodiment integrates the steel structure part intelligent identification, qualification judgment technology, material frame number distribution algorithm and sorting robot automatic grabbing technology, and a set of steel structure part intelligent sorting system is established through an intelligent control program. The method comprises the steps of firstly, setting a conveyor belt driven by a servo motor, setting a scanner installation box in the middle of the conveyor belt, installing a 3D laser scanning camera, placing steel structure parts on the conveyor belt, moving at a constant speed along with the conveyor belt, scanning the parts by the laser camera to obtain point cloud data of the parts, carrying out point cloud data reconstruction modeling through data processing algorithms such as light weight, drying removal, triangular reconstruction and the like, establishing a three-dimensional model of the point cloud data, outputting data information such as part template numbers, thicknesses, error values, robot grabbing coordinates and the like through image processing algorithms such as graphic classification, edge extraction, target detection, image segmentation, characteristic value extraction, boundary matching and the like, sending the data to a sorting system control software system, and sending corresponding control parameters to a sorting robot by combining with steel structure sorting requirements to realize automatic sorting of the steel structure parts.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.