Intelligent generation method of hull structure damage assessment and repair scheme

Abstract

The invention discloses a hull structure damage assessment and repair scheme intelligent generation method. The method comprises the following steps: acquiring an image file of hull structure damage; matching the image file with the CAD model of the hull structure through an image recognition technology, and determining and identifying the damage range of the hull structure; the damage range is mapped to a ship body structure CAE model, structural units, loads, boundary conditions and grids in the damage range are automatically processed, the residual strength of the ship body structure is checked, and an evaluation conclusion is generated; using suggestions are generated in combination with the damage range and the evaluation conclusion to assist in decision making, and meanwhile a repairing scheme is generated in combination with a hull structure CAD model. According to the method, the image is matched with the ship structure related model, the damage range is quickly determined, the ship structure damage residual strength is quickly evaluated, quick technical support is provided for field decision making, and meanwhile, a ship structure damage repair scheme is quickly and intelligently generated, the repair period is shortened, and quick recovery and use are achieved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of water surface ship hull structure design, and particularly relates to a hull structure damage assessment and repair scheme intelligent generation method. BACKGROUND

[0002] Currently, when a ship is damaged due to collision or the like, the captain usually needs to judge whether to continue the task or return to the factory for repair according to experience, and damage inspection is generally completed by manual field measurement. This mode has the following problems: first, field disposal depends on experience, and when the experience is insufficient, it will be in a dilemma; second, manual field measurement has a large workload, and it may be difficult to measure in some areas; third, the problem processing cycle is long, and the disposal speed is slow.

[0003] With the development of image recognition and other intelligent technologies, automatic matching of images and hull structure related models, automatic processing, and automatic generation of related reports and repair schemes have become a method that can efficiently dispose such problems. SUMMARY

[0004] The purpose of the present application is to provide a hull structure damage assessment and repair scheme intelligent generation method, which automatically matches images and hull structure related models, automatically processes, and automatically generates related reports and repair schemes, to solve the limitations of manual methods.

[0005] The technical solution adopted by the present application to solve its technical problems is as follows: The first aspect of the present application provides a hull structure damage assessment and repair scheme intelligent generation method, which comprises the following steps: S1, collecting image files of hull structure damage; S2, matching the image files with a hull structure CAD model through image recognition technology to determine and identify the damage range of the hull structure; S3, mapping the damage range to a hull structure CAE model, automatically processing the structure units, loads, boundary conditions and meshes within the damage range, checking the remaining strength of the hull structure and generating an assessment conclusion; S4, generating use suggestions to assist decision-making in combination with the damage range and the assessment conclusion, and generating a repair scheme in combination with the hull structure CAD model.

[0006] In the above scheme, the image files include photos and videos, reflecting the damaged parts and components of the hull structure.

[0007] In the above scheme, step S2 specifically comprises: Through image recognition technology, the damage type, damage part and component, and damage area of the hull structure are accurately identified and matched to the hull structure CAD model to determine and identify the damage range of the hull structure.

[0008] In the above scheme, step S2 further comprises: generating a report on the damaged condition of the hull structure.

[0009] In the above scheme, step S3 further comprises: generating a report on the remaining strength evaluation.

[0010] In the above scheme, step S4 specifically comprises: In combination with the CAD model of the hull structure, a local model for original repair is generated according to the matched damage range, including the repair range and the materials and size specifications of each component and member.

[0011] In the above scheme, when generating the repair scheme, the original repair mode is selected or the expert knowledge pre-stored in the system or the specific requirements input by the engineer in real time is selected.

[0012] According to a second aspect of the present application, a shore-based system or a shipborne system is provided, which applies the hull structure damage evaluation and repair scheme intelligent generation method according to any one of the first aspect.

[0013] According to a third aspect of the present application, a computer device is provided, which comprises a processor and a memory, the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the hull structure damage evaluation and repair scheme intelligent generation method according to any one of the first aspect.

[0014] According to a fourth aspect of the present application, a computer readable storage medium is provided, which stores programs or instructions, and the programs or instructions are executed by the processor to implement the steps of the hull structure damage evaluation and repair scheme intelligent generation method according to any one of the first aspect. Overall, compared with the prior art, the above technical scheme conceived by the present application can achieve the following beneficial effects: (1) The image is quickly matched with the hull structure related model (CAD model, CAE model), and the damage range is quickly determined; (2) The remaining strength of the hull structure damage is quickly evaluated, and quick technical support is provided for the on-site decision of the ship captain; (3) The hull structure damage repair scheme is quickly and intelligently generated, the repair cycle is shortened, and the combat effectiveness is quickly restored. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 A flowchart of a hull structure damage evaluation and repair scheme intelligent generation method according to an embodiment of the present application is provided. Figure 2 A schematic diagram of a hull structure CAD model according to an embodiment of the present application is provided. Figure 3 A schematic diagram of a ship body structure CAE model provided for an embodiment of the present application is shown in FIG. 1. Figure 4 A hardware structure schematic diagram of a computer device provided for an embodiment of the present application is shown in FIG. 2. DETAILED DESCRIPTION

[0016] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. Based on the embodiments provided by the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of the present application.

[0017] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and for those of ordinary skill in the art, the present application can be applied to other similar scenarios without creative efforts based on these drawings. In addition, it can be understood that although the efforts made in this development process can be complex and lengthy, for those of ordinary skill in the art related to the disclosed content of the present application, some designs, manufacturing or production changes based on the technical content disclosed in the present application are only routine technical means and should not be understood as insufficient disclosure of the present application.

[0018] In the present application, the term "embodiment" means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase at various places in the specification does not necessarily mean the same embodiment, nor is it an independent or alternative embodiment to other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in the present application can be combined with other embodiments without conflict.

[0019] Unless otherwise defined, technical terms and scientific terms used in the present application shall have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terms "a", "an", "one", "this", and similar referents in the context of describing the application are to be construed to be open-ended, referring to one or more than one, unless otherwise noted. The terms "comprising", "comprises", "including", "includes" and "containing", "contains" shall be construed as containing the stated steps, elements or features but do not preclude the presence or addition of one or more other steps, elements or features. The term "connected" and / or "coupled" to be construed as possibly including a direct connection between two elements and / or an indirect connection between two elements through one or more intermediate elements. The term "multiple" means two or more. The term "and / or" describes associated objects, which means that there can be three states: one, both, or neither. The character " / " generally means that the associated objects are in an "or" relationship. The terms "first", "second", "third" and the like are merely used to distinguish similar objects, and do not represent a specific order.

[0020] Currently, when a ship is damaged by collision or the like, the method of "manual + experience" is usually used for on-site disposal, and then the damage assessment and repair scheme are manually prepared according to the manual survey measurement data and the drawings. The method has high dependence on manual and experience, slow response speed, and is difficult to meet the requirements of rapid disposal in emergency situations.

[0021] Therefore, the present application provides a ship structure damage assessment and repair scheme intelligent generation method, which realizes automatic matching, automatic processing, automatic generation of related reports and repair schemes based on image recognition and other intelligent technologies, and provides technical support for rapid and efficient on-site disposal. The method is a method for quickly assessing the damage range and damage degree of the ship structure damage and intelligently generating a repair scheme.

[0022] As shown in Figure 1 The ship structure damage assessment and repair scheme intelligent generation method of the present application comprises the following steps: S1, collect ship structure damage photos, videos and other image files on site, and transmit them to the shore-based system (if necessary, a shipboard system such as a shipboard system can also be configured).

[0023] Through on-site photography, video recording and other means, collect image files of hull structure damage, transmit and import into the shore-based system (if necessary, it can also be configured on the ship). The image files are as detailed as possible to facilitate accurate determination of the damage range.

[0024] S2, determine the damage range by image recognition and other intelligent technologies, matching and associating with the CAD model.

[0025] Through image recognition and other intelligent technologies, accurately identify the damage type, damaged components and damage area, and intelligently match the relevant information to the hull structure CAD model to automatically determine and identify the damage range, as shown in Figure 2 .

[0026] S3, map the determined damage range to the CAE model, automatically process the structure units within the damage range, check the remaining strength, and give the evaluation conclusion.

[0027] Map the identified and determined damage range and other information to the hull structure CAE model, as shown in Figure 3 , according to the predetermined principles, automatically determine and process the structure units, loads, boundary conditions and meshes within the damage range, check the remaining strength, and give the evaluation conclusion, and intelligently generate the evaluation report.

[0028] S4, combined with the damage range and the evaluation conclusion, intelligently propose usage suggestions and repair schemes.

[0029] According to the identified damage and the remaining strength evaluation conclusion, intelligently propose usage suggestions to provide auxiliary decision-making for the captain's on-site disposal. At the same time, combined with the hull structure CAD model, intelligently generate repair schemes to facilitate the shipyard to prepare materials, cut and repair tooling in advance, and shorten the repair cycle.

[0030] The present application is based on image recognition and matching technology, by writing programs, calling hull structure CAD model and CAE model, automatically matching and processing related damaged units, forming evaluation report and repair scheme. The software system formed by this method can be arranged on the shore, if necessary, it can also be configured on the ship.

[0031] Specifically, the method process is as follows: First, when the ship is damaged by collision, etc., the crew takes photos and videos of the damaged parts, collects image files of the damaged hull structure, and the image data is as detailed as possible to fully reflect the damaged parts and components of the hull structure, as shown in the attached Figure 1 .

[0032] Second, transmit and import the collected image files into the system, which automatically matches the damaged parts and components of the hull structure with the hull structure CAD model through image recognition technology, as shown in Figure 2 , to generate a report on the damaged condition of the hull structure.

[0033] Again, the system associates the matched hull structure damage condition with the hull structure CAE model, as shown in Figure 3 The model automatically processes the damaged parts and components, loads the relevant loads and boundary conditions, and performs residual strength evaluation to generate a residual strength evaluation report to assist the ship captain in making decisions.

[0034] Finally, in combination with the hull structure CAD model, a local model for original repair is automatically generated according to the matched damage range, including the repair range and the material, size specifications of each component, etc. A one-key intelligent repair scheme and related description report are generated. When generating the repair scheme, the original repair method can be selected, or the expert knowledge pre-stored in the system or the specific requirements input by the engineer in real time can be selected.

[0035] The present application realizes fast matching of images and related models (CAD models, CAE models) and fast determination of damage range; realizes fast residual strength evaluation of hull structure damage to provide fast technical support for on-site decision-making of the ship captain; realizes fast and intelligent generation of hull structure damage repair scheme, shortens the repair cycle, and quickly restores the combat effectiveness.

[0036] In addition, the present application also provides a shore-based system or a shipborne system, which receives the collected image file and applies the hull structure damage evaluation and repair scheme intelligent generation method of any one of the first aspect to perform hull structure damage evaluation and repair scheme intelligent generation.

[0037] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0038] In combination with Figure 1 The hull structure damage evaluation and repair scheme intelligent generation method of the described embodiment of the present application can be implemented by a computer device. Figure 4 The hardware structure of the computer device of the embodiment of the present application is shown in the figure. Figure 4 As shown in the figure, the device can include a processor 301 and a memory 302 storing computer program instructions.

[0039] Specifically, the above-mentioned processor 301 can include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or can be configured to implement one or more integrated circuits of the embodiment of the present application.

[0040] The memory 302 can include a mass storage for data or instructions. By way of example, and without limitation, the memory 302 can include a Hard Disk Drive (HDD), a floppy disk drive, a Solid State Drive (SSD), a flash drive, a Compact Disc Read Only Memory (CD-ROM), a Digital Versatile Disk (DVD), a Blu-Ray, a magneto-optical disk, a magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. The memory 302 can be removable and / or non-removable (or fixed) as appropriate. The memory 302 can be internal or external as appropriate. In certain embodiments, the memory 302 is a non-volatile memory. In certain embodiments, the memory 302 includes a Read-Only Memory (ROM) and a Random-Access Memory (RAM). The ROM can be a mask-programmed ROM, a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), an Electrically Alterable ROM (EAROM), or a FLASH memory, or a combination of two or more of these, as appropriate. The RAM can be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), which can be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended Data Output Dynamic Random-Access Memory (EDODRAM), a Synchronous Dynamic Random-Access Memory (SDRAM), or the like, as appropriate.

[0041] The memory 302 can be used to store or buffer various data files required for processing and / or communication, and possible computer program instructions executed by the processor 301.

[0042] The processor 301 reads and executes the computer program instructions stored in the memory 302 to implement any one of the ship structure damage assessment and repair scheme intelligent generation methods in the above embodiments.

[0043] In some embodiments, the computer device can further include a communication interface 303 and a bus 300. Wherein, as shown in the figure, the processor 301, the memory 302, the communication interface 303 are connected through the bus 300 and complete the communication between each other. Figure 4

[0044] The communication interface 303 is used to realize the communication between each module, device, unit and / or equipment in the embodiments of the present application. The communication interface 303 can also realize data communication with other components, such as: external devices, image / data acquisition devices, databases, external storage, and image / data processing workstations, etc.

[0045] ​Bus 300 includes hardware, software, or both, to couple components of the computer device to each other and to couple components to other components in the environment. Bus 300 includes, but is not limited to, at least one of the following: a data bus, an address bus, a control bus, an expansion bus, a local bus, etc. By way of example and not limitation, bus 300 can include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand (IB) interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or another suitable bus or combination of two or more of these. Where appropriate, bus 300 can include one or more buses. Although the present embodiments describe and show a particular bus, the present embodiments contemplate any suitable bus or interconnect.

[0046] The computer device can execute the ship structure damage assessment and repair scheme intelligent generation method in the embodiments of the present application, thereby realizing the combination of Figure 1 The ship structure damage assessment and repair scheme intelligent generation method described.

[0047] In addition, in combination with the ship structure damage assessment and repair scheme intelligent generation method in the above embodiments, the embodiments of the present application can provide a computer readable storage medium to realize. The computer readable storage medium has computer program instructions stored thereon; the computer program instructions are executed by the processor to realize any one of the ship structure damage assessment and repair scheme intelligent generation methods in the above embodiments.

[0048] It should be noted that the technical features of the above-described embodiments can be combined in any manner, and for the sake of brevity, not all possible combinations of the technical features in the above-described embodiments are described, however, as long as the combinations of the technical features do not contradict each other, they shall be considered within the scope of the present disclosure. In addition, according to the needs of implementation, each step / component described in the present disclosure can be split into more steps / components, or two or more steps / components or parts of the operation of the steps / components can be combined into a new step / component, to achieve the purpose of the present disclosure.

[0049] Those skilled in the art will readily understand that the above-described embodiments only express several implementations of the present disclosure, which are described in a more specific and detailed manner, but cannot be construed as a limitation on the scope of the patent. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present disclosure, and these shall fall within the scope of protection of the present disclosure. Therefore, the scope of protection of the patent of the present disclosure shall be subject to the appended claims.

Claims

1. A method for intelligent generation of hull structure damage assessment and repair plan, characterized in that, The method comprises: S1, collecting an image file of a hull structure damage; S2, matching the image file with a hull structure CAD model through image recognition technology to determine and identify the damage range of the hull structure; S3, mapping the damage range to a hull structure CAE model, automatically processing the structure unit, load, boundary condition and mesh in the damage range, checking the residual strength of the hull structure and generating an evaluation conclusion; S4, generating use suggestions to assist decision-making in combination with the damage range and the evaluation conclusion, and generating a repair scheme in combination with the hull structure CAD model.

2. The method of claim 1, wherein, The image file includes photos and videos reflecting the damaged parts and components of the hull structure.

3. The method of claim 1, wherein, Step S2 specifically comprises: Through image recognition technology, the damage type, damage part and component, and damage area of the hull structure are accurately identified and matched to the hull structure CAD model to determine and identify the damage range of the hull structure.

4. The method of claim 3, wherein, Step S2 specifically further comprises: Generating a hull structure damage report.

5. The method of claim 1, wherein, Step S3 further comprises: Generating a residual strength evaluation report.

6. The method of claim 1, wherein, Step S4 specifically comprises: In combination with the hull structure CAD model, a local model of original repair is generated according to the matched damage range, including the repair range and the materials and size specifications of each component and component.

7. The method of claim 1, wherein, When generating the repair scheme, the original repair method or the method of selecting pre-set expert knowledge in the system or inputting specific requirements by engineers in real time is selected.

8. A shore-based system or a shipboard system, characterized in that The system applies the hull structure damage evaluation and repair scheme intelligent generation method of any one of claims 1 to 7.

9. A computer device, comprising: It comprises: A processor and a memory, the memory storing programs or instructions executable on the processor, the programs or instructions being executed by the processor to implement the steps of the hull structure damage evaluation and repair scheme intelligent generation method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The program or instruction stored thereon is executed by the processor to implement the steps of the hull structure damage evaluation and repair scheme intelligent generation method of any one of claims 1 to 7.

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