Material processing method, material processing device and readable storage medium

Abstract

The invention discloses a material processing method, a material processing device and a readable storage medium, and relates to the technical field of ship manufacturing. The material processing method comprises the following steps: performing data scanning on a plate mounting area of a ship to obtain first point cloud data of the plate mounting area; based on the first point cloud data, establishing a region model of a plate mounting region; determining a plate model according to the area model; and processing the to-be-processed plate based on the plate model to obtain an installable plate. The preparation efficiency of the installable plate is improved, and meanwhile the precision of the installable plate is improved.

Description

Technical Field

[0001] The present application relates to the technical field of shipbuilding, and in particular to a material processing method, a material processing device and a readable storage medium. Background Art

[0002] At present, constrained damping plates are widely used in ship products. However, since constrained damping plates need to be cut according to the actual ship's external structure, the traditional method of obtaining the actual ship's external structure dimensions by relying on sampling templates is inefficient. It is difficult to accurately obtain the external dimension information of complex structures. Each template needs to be cut manually, which is labor-intensive and has low precision. Therefore, the existing material processing methods have technical problems such as low efficiency and low precision. Summary of the invention

[0003] The embodiments of the present application provide a material processing method, a material processing device and a readable storage medium, which are used to solve technical problems such as low efficiency and low precision in the prior art.

[0004] In a first aspect of an embodiment of the present application, a material processing method is provided, which is applied to ships, and the method comprises:

[0005] Performing data scanning on the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area;

[0006] Based on the first point cloud data, a regional model of the plate installation area is established;

[0007] Determine the plate model based on the regional model;

[0008] Based on the plate model, the plate to be processed is processed to obtain an installable plate.

[0009] The material processing method in this embodiment establishes a regional model of the plate installation area through the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate and improves the dimensional accuracy of the installable plate.

[0010] A second aspect of the embodiments of the present application provides a material processing device, which is applied to a ship, and the device includes:

[0011] The acquisition unit is used to scan the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area;

[0012] A processing unit, configured to establish a regional model of a plate installation area based on the first point cloud data;

[0013] The processing unit is further used to determine the plate model according to the regional model;

[0014] The control unit is used for processing the plate to be processed based on the plate model to obtain an installable plate.

[0015] The material processing device in this embodiment establishes a regional model of the plate installation area through the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate and improves the dimensional accuracy of the installable plate.

[0016] In a third aspect of the embodiments of the present application, another material processing device is provided, comprising a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the steps of the material processing method in any of the above embodiments are implemented. Therefore, the material processing device has all the beneficial effects of the material processing method in any of the above embodiments, which will not be described in detail here.

[0017] In a fourth aspect of the embodiments of the present application, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the material processing method in any of the above embodiments are implemented. Therefore, the readable storage medium has all the beneficial effects of the material processing method in any of the above embodiments, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 A flow chart of a material processing method provided in an embodiment of the present application;

[0020] Figure 2 A functional module block diagram of a material processing device provided in an embodiment of the present application;

[0021] Figure 3 This is a structural block diagram of the material processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to better understand the technical solutions provided by the embodiments of this specification, the technical solutions of the embodiments of this specification are described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.

[0023] In this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or equipment. In the absence of more restrictions, the elements limited by the statement "comprise one..." do not exclude the existence of other identical elements in the process, method, article or equipment including the elements. The term "more than two" includes two or more than two situations.

[0024] In some embodiments, Figure 1 As shown, in an embodiment of the present application, a material processing method is provided, comprising:

[0025] Step S101, performing data scanning on a plate installation area of ​​a ship to obtain first point cloud data of the plate installation area;

[0026] Step S102, establishing a regional model of the plate installation area based on the first point cloud data;

[0027] Step S103, determining a plate model according to the regional model;

[0028] Step S104: Based on the plate model, the plate to be processed is processed to obtain an installable plate.

[0029] In this embodiment, a material processing method is proposed, which is applied to ships to prepare installable plates for ships, wherein the installable plates are plates installed on ships.

[0030] Exemplarily, the mountable plate may be a processed restrained drag plate.

[0031] Determine a plate installation area in a ship, and perform data scanning on the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area, wherein the plate installation area is an area in the ship where the plate needs to be installed, and the first point cloud data is point cloud data of the plate installation area.

[0032] Exemplarily, the plate installation area may be an indoor area of ​​a ship where a restrained resistance plate needs to be installed.

[0033] Exemplarily, the first point cloud data may be three-dimensional point cloud data of a plate installation area.

[0034] Based on the first point cloud data, a regional model of the plate installation area is established, wherein the regional model is a three-dimensional model of the plate installation area.

[0035] Exemplarily, the area model may be a three-dimensional simulation model of the panel installation area.

[0036] A plate model is determined according to the regional model, wherein the plate model is a three-dimensional model of the plate.

[0037] Exemplarily, the plate model may include a plurality of three-dimensional models of different sizes.

[0038] A preset plate to be processed is obtained, and based on the plate model, the plate to be processed is processed to obtain an installable plate, wherein the plate to be processed is a plate that has not been processed in size.

[0039] Exemplarily, the mountable sheet material may include a plurality of restrained resistance panels of different sizes.

[0040] Exemplarily, the plate to be processed is a constrained damping plate, and the installable plate is a plate after cutting. The boundary contour of the constrained damping plate obtained by the plate model forms the part drawing of each constrained damping plate.

[0041] Finally, the CNC nesting software is used to automatically layout the constrained damping plate based on the standard plate, obtain the best utilization rate, and complete the nesting of the damping plate.

[0042] Based on the nesting results, the cutting instructions of the damping plate are output to drive the CNC blanking machine to perform accurate blanking and cutting of the damping plate. After the damping plate is cut, it is installed on board.

[0043] It should be noted that the traditional material processing method relies on sampling templates to obtain the actual ship's external structural dimensions, which is inefficient. It is difficult to accurately obtain the external dimensional information of complex structures. Each template needs to be manually cut, which is labor-intensive and has low precision. At the same time, the acquired dimensional data also needs to be manually input into the nesting software for separate nesting, and the comprehensive utilization rate of the plate is low. The material processing method of this embodiment establishes a regional model of the plate installation area based on the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate, and at the same time improves the dimensional accuracy of the installable plate.

[0044] The material processing method in this embodiment establishes a regional model of the plate installation area through the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate and improves the dimensional accuracy of the installable plate.

[0045] In some embodiments, an embodiment of the present application provides a material processing method, which performs data scanning on a plate installation area of ​​a ship to obtain first point cloud data of the plate installation area, including:

[0046] Step S201, obtaining structural information of the ship;

[0047] Step S202, determining a scanning path of the plate installation area according to the structural information;

[0048] Step S203: performing data scanning on the plate installation area based on the scanning path to obtain first point cloud data.

[0049] In this embodiment, structural information of the ship is acquired, and a scanning path of the plate installation area is determined based on the structural information, wherein the structural information is structural data of the ship, and the scanning path is a path for scanning the first point cloud data.

[0050] Based on the scanning path, the plate installation area is scanned to obtain first point cloud data.

[0051] Exemplarily, the first point cloud data may be point cloud data of a characteristic surface shape of a ship structure.

[0052] For example, according to the on-site conditions inside the ship and the reasonable planning of the scanning path, the laser measurement equipment is used to quickly measure the ship structure area where the constrained damping plate needs to be installed, ensuring a 30% overlap rate of the scanning area at different viewing angles, and obtaining the point cloud data of the characteristic surface shape of the ship structure.

[0053] In some embodiments, an embodiment of the present application provides a material processing method, which establishes a regional model of a plate installation area based on first point cloud data, including:

[0054] Step S301, performing data filtering processing on the first point cloud data to obtain second point cloud data;

[0055] Step S302, performing data thinning processing on the second point cloud data to obtain third point cloud data;

[0056] Step S303, performing feature extraction processing on the second point cloud data to obtain feature point data;

[0057] Step S304: establishing a regional model based on the feature point data.

[0058] In this embodiment, data filtering is performed on the first point cloud data to obtain second point cloud data, wherein the second point cloud data is denoised point cloud data.

[0059] Exemplarily, data processing software may be used to perform data filtering on the first point cloud data to obtain the second point cloud data.

[0060] The second point cloud data is subjected to data thinning processing to obtain third point cloud data, wherein the third point cloud data is the thinned point cloud data.

[0061] The second point cloud data is subjected to feature extraction processing to obtain feature point data, wherein the feature point data is a feature point of the second point cloud data.

[0062] Exemplarily, the feature point data may include feature points such as installation areas, component openings, and brackets.

[0063] Exemplarily, the point cloud is first filtered in the data processing software to remove noise and unnecessary data points, thereby improving the efficiency and accuracy of subsequent processing; secondly, the point cloud is thinned to reduce the amount of point cloud data while ensuring a sufficient number of valid feature points, thereby increasing the computing speed; finally, the point cloud feature points are extracted, including feature points such as installation areas, component openings, and brackets.

[0064] In some embodiments, a material processing method is provided in an embodiment of the present application, and a regional model is established according to feature point data, including:

[0065] Step S401, establishing a three-dimensional coordinate system corresponding to the feature point data;

[0066] Step S402: performing shape fitting on the feature point data based on the three-dimensional coordinate system to obtain a region model.

[0067] In this embodiment, a three-dimensional coordinate system corresponding to the feature point data is established, wherein the three-dimensional coordinate system is a spatial coordinate system corresponding to the feature point data.

[0068] Based on the three-dimensional coordinate system, shape fitting is performed on the feature point data to obtain the region model.

[0069] For example, the ICP (Iterative Closest Value) algorithm is used in the data processing software to align the point cloud data collected from different viewing angles or time points to the coordinate system. Shape fitting is performed based on the feature points of the point cloud from different viewing angles to obtain a solid three-dimensional model of the damping plate installation area, that is, a regional model.

[0070] In some embodiments, an embodiment of the present application provides a material processing method, which determines a plate model according to a regional model, including:

[0071] Step S501, obtaining a preset reverse modeling algorithm;

[0072] Step S502: Perform reverse modeling on the regional model by using a reverse modeling algorithm to obtain a plate model.

[0073] In this embodiment, a preset reverse modeling algorithm is obtained, and reverse modeling is performed on the regional model through the reverse modeling algorithm to obtain a plate model, wherein the reverse modeling algorithm is a preset reverse modeling algorithm.

[0074] Exemplarily, the reverse modeling software may include a reverse modeling algorithm, in which the physical model features of the ship structure in the post-installation area are used to construct models of various constrained damping plates that fit the shape of the ship structure. Reasonable holes are made when modeling the constrained damping plates to avoid valves, brackets and other structures installed on the ship structure. The size of the damping plate modeling does not exceed the size of the standard damping plate.

[0075] In some embodiments, an embodiment of the present application provides a material processing method, based on the plate model, before processing the plate to be processed to obtain an installable plate, the method further includes:

[0076] Step S601, obtaining a preset damping plate and a restraining steel plate;

[0077] Step S602, the damping plate and the restraining steel plate are pasted and combined to obtain a plate to be processed.

[0078] In this embodiment, a preset damping plate and a constraint steel plate are obtained, and the damping plate and the constraint steel plate are pasted and combined to obtain a plate to be processed, wherein the constraint plate steel is a steel plate material with a constraining effect, and the damping plate is a damping material made of rubber.

[0079] Exemplarily, the damping plate is a damping material mainly made of butyl rubber as a matrix. In this embodiment, a 5 mm thick damping plate is selected, and the damping plate is adhered to the restraining steel plate by an adhesive.

[0080] In some embodiments, an embodiment of the present application provides a material processing method for obtaining a constrained steel plate, comprising:

[0081] Step S701, obtaining a preset standard steel plate;

[0082] Step S702, cutting and rust removal are performed on the standard steel plate to obtain a constrained steel plate.

[0083] In this embodiment, a preset standard steel plate is obtained, and a cutting process and a rust removal process are performed on the standard steel plate to obtain a constrained steel plate, wherein the standard steel plate is a standardized basic steel material.

[0084] For example, a standard steel plate is first made. The standard steel plate is rectangular and has a large size. Multiple constrained damping plates can be cut out for installation. The constrained plate is made of a steel plate with a thickness of about 5 mm. After the constrained plate is cut, the rust on the surface of the adhesive surface is cleaned and the burrs around it are removed to ensure that the adhesive surface is flat and smooth, which is convenient for the later application of adhesive.

[0085] In some embodiments, Figure 2 As shown, in an embodiment of the present application, a material processing device 800 is provided, comprising:

[0086] The acquisition unit 802 is used to perform data scanning on the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area;

[0087] The processing unit 804 is used to establish a regional model of the plate installation area based on the first point cloud data;

[0088] The processing unit 804 is further used to determine the plate model according to the regional model;

[0089] The control unit 806 is used to process the plate to be processed based on the plate model to obtain an installable plate.

[0090] In this embodiment, a material processing device 800 is provided, which is applied to a ship to prepare a mountable plate for the ship, wherein the mountable plate is a plate to be installed on the ship.

[0091] Exemplarily, the mountable plate may be a processed restrained drag plate.

[0092] Determine a plate installation area in a ship, and perform data scanning on the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area, wherein the plate installation area is an area in the ship where the plate needs to be installed, and the first point cloud data is point cloud data of the plate installation area.

[0093] Exemplarily, the plate installation area may be an indoor area of ​​a ship where a restrained resistance plate needs to be installed.

[0094] Exemplarily, the first point cloud data may be three-dimensional point cloud data of a plate installation area.

[0095] Based on the first point cloud data, a regional model of the plate installation area is established, wherein the regional model is a three-dimensional model of the plate installation area.

[0096] Exemplarily, the area model may be a three-dimensional simulation model of the panel installation area.

[0097] A plate model is determined according to the regional model, wherein the plate model is a three-dimensional model of the plate.

[0098] Exemplarily, the plate model may include a plurality of three-dimensional models of different sizes.

[0099] A preset plate to be processed is obtained, and based on the plate model, the plate to be processed is processed to obtain an installable plate, wherein the plate to be processed is a plate that has not been processed in size.

[0100] Exemplarily, the mountable sheet material may include a plurality of restrained resistance panels of different sizes.

[0101] Exemplarily, the plate to be processed is a constrained damping plate, and the installable plate is a plate after cutting. The boundary contour of the constrained damping plate obtained by the plate model forms the part drawing of each constrained damping plate.

[0102] Finally, the CNC nesting software is used to automatically layout the constrained damping plate based on the standard plate, obtain the best utilization rate, and complete the nesting of the damping plate.

[0103] Based on the nesting results, the cutting instructions of the damping plate are output to drive the CNC blanking machine to perform accurate blanking and cutting of the damping plate. After the damping plate is cut, it is installed on board.

[0104] It should be noted that the traditional material processing method relies on sampling templates to obtain the actual ship's external structural dimensions, which is inefficient. It is difficult to accurately obtain the external dimensional information of complex structures. Each template needs to be manually cut, which is labor-intensive and has low precision. At the same time, the acquired dimensional data also needs to be manually input into the nesting software for separate nesting, and the comprehensive utilization rate of the plate is low. The material processing method of this embodiment establishes a regional model of the plate installation area based on the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate, and at the same time improves the dimensional accuracy of the installable plate.

[0105] The material processing device 800 in this embodiment establishes a regional model of the plate installation area through the first point cloud data, and then determines the plate model. The plate model greatly improves the processing efficiency of the plate and improves the dimensional accuracy of the installable plate.

[0106] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0107] The acquisition unit 802 is also used to obtain the structural information of the ship;

[0108] The acquisition unit 802 is also used to determine the scanning path of the plate installation area according to the structural information;

[0109] The acquisition unit 802 is further used to perform data scanning on the plate installation area based on the scanning path to obtain first point cloud data.

[0110] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0111] The processing unit 804 is further configured to perform data filtering processing on the first point cloud data to obtain second point cloud data;

[0112] The processing unit 804 is further used to perform data thinning processing on the second point cloud data to obtain third point cloud data;

[0113] The processing unit 804 is further used to perform feature extraction processing on the second point cloud data to obtain feature point data;

[0114] The processing unit 804 is further configured to establish a region model according to the feature point data.

[0115] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0116] The processing unit 804 is further used to establish a three-dimensional coordinate system corresponding to the feature point data;

[0117] The processing unit 804 is further configured to perform shape fitting on the feature point data based on the three-dimensional coordinate system to obtain a region model.

[0118] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0119] The processing unit 804 is further used to obtain a preset reverse modeling algorithm;

[0120] The processing unit 804 is further configured to perform reverse modeling on the regional model through a reverse modeling algorithm to obtain a plate model.

[0121] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0122] The control unit 806 is also used to obtain a preset damping plate and a restraining steel plate;

[0123] The control unit 806 is also used to paste and combine the damping plate and the restraining steel plate to obtain the plate to be processed.

[0124] In some embodiments, an embodiment of the present application provides a material processing device 800, further comprising:

[0125] The control unit 806 is also used to obtain a preset standard steel plate;

[0126] The control unit 806 is also used to perform cutting and rust removal on the standard steel plate to obtain the constrained steel plate.

[0127] In some embodiments, Figure 3 As shown, a material processing device 900 is proposed, and the material processing device 900 includes a processor 902 and a memory 904. The memory 904 stores a computer program, and when the computer program is executed by the processor 902, the steps of the material processing method in any of the above embodiments are implemented. Therefore, the material processing device 900 has all the beneficial effects of the material processing method in any of the above embodiments, which will not be repeated here.

[0128] In some embodiments, a readable storage medium is provided on which a program is stored. When the program is executed by a processor, the steps of the material processing method in any of the above embodiments are implemented, thereby having all the beneficial technical effects of the material processing method in any of the above embodiments.

[0129] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-readable program code.

[0131] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0132] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0134] An embodiment of the present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes a process of a material processing method.

[0135] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0136] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0137] In the several embodiments provided in the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0138] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0139] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0140] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0141] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

[0142] Although the preferred embodiments of this specification have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of this specification.

[0143] Obviously, those skilled in the art can make various changes and modifications to this specification without departing from the spirit and scope of this specification. Thus, if these modifications and variations of this specification fall within the scope of the claims of this specification and their equivalents, this specification is also intended to include these modifications and variations.

Claims

1. A material processing method, characterized in that: Applied to ships, the method comprises: Performing data scanning on a plate installation area of ​​the ship to obtain first point cloud data of the plate installation area; Based on the first point cloud data, establishing a regional model of the plate installation area; Determining a plate model according to the regional model; Based on the plate model, the plate to be processed is processed to obtain an installable plate.

2. The method according to claim 1, characterized in that The performing data scanning on the plate installation area of ​​the ship to obtain first point cloud data of the plate installation area includes: Acquiring structural information of the ship; Determining a scanning path of the plate installation area according to the structural information; Based on the scanning path, data scanning is performed on the plate installation area to obtain the first point cloud data.

3. The method according to claim 1, characterized in that The step of establishing a regional model of the plate installation area based on the first point cloud data includes: Performing data filtering processing on the first point cloud data to obtain second point cloud data; performing data thinning processing on the second point cloud data to obtain third point cloud data; Performing feature extraction processing on the second point cloud data to obtain feature point data; The region model is established according to the feature point data.

4. The method according to claim 3, characterized in that The step of establishing the regional model according to the feature point data comprises: Establishing a three-dimensional coordinate system corresponding to the feature point data; Based on the three-dimensional coordinate system, shape fitting is performed on the feature point data to obtain the region model.

5. The method according to claim 1, characterized in that Determining the plate model according to the regional model includes: Obtain a preset reverse modeling algorithm; The reverse modeling algorithm is used to perform reverse modeling on the regional model to obtain the plate model.

6. The method according to any one of claims 1 to 5, characterized in that Before processing the plate to be processed based on the plate model to obtain an installable plate, the method further includes: Obtain a preset damping plate and a restraining steel plate; The damping plate and the restraining steel plate are pasted and combined to obtain the plate to be processed.

7. The method according to claim 6, characterized in that The step of obtaining the restraining steel plate comprises: Get preset standard steel plates; The standard steel plate is cut and rust-cleaned to obtain the restraining steel plate.

8. A material processing device, characterized in that: Applied to ships, the device comprises: A collection unit, used for performing data scanning on a plate installation area of ​​the ship to obtain first point cloud data of the plate installation area; A processing unit, configured to establish a regional model of the plate installation area based on the first point cloud data; The processing unit is further used to determine a plate model according to the regional model; The control unit is used to process the plate to be processed based on the plate model to obtain an installable plate.

9. A material processing device, characterized in that: include: processor; A memory, wherein a program or instruction is stored in the memory, and when the processor executes the program or instruction in the memory, the steps of the material processing method according to any one of claims 1 to 7 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores programs or instructions, and when the programs or instructions are executed by the processor, the steps of the material processing method as described in any one of claims 1 to 7 are implemented.

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