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US-20260127333-A1 - INTELLIGENT DISMANTLING SYSTEM

US20260127333A1US 20260127333 A1US20260127333 A1US 20260127333A1US-20260127333-A1

Abstract

A method, computer system, and a computer program product for determining and implementing an ideal dismantling workflow is provided. The present invention may include generating a model of a structure to be dismantled. The present invention may include analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system. The present invention may include performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system. The present invention may include generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure.

Inventors

  • Jessica Nahulan
  • Sarbajit Kumar Rakshit
  • Carolina Garcia DELGADO
  • Jennifer M Hatfield

Assignees

  • INTERNATIONAL BUSINESS MACHINES CORPORATION

Dates

Publication Date
20260507
Application Date
20241106

Claims (20)

  1. 1 . A method for implementing an ideal dismantling workflow, the method comprising: generating a model of a structure to be dismantled; analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system, wherein the plurality of machines are designated by a user within a user interface for dismantling the structure; performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system; and generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure.
  2. 2 . The method of claim 1 , wherein the plurality of simulations include trial-and-error simulations utilized in which simulation data is utilized in training a baseline machine learning model.
  3. 3 . The method of claim 2 , further comprising: monitoring an implementation of the ideal dismantling workflow, wherein additional data is received from one or more Internet of Things (IoT) devices; and retraining the baseline machine learning model based on the additional data received using one or more reinforcement learning methods.
  4. 4 . The method of claim 1 , wherein the model of the structure to be dismantled is a three-dimensional (3D) mesh model, and wherein the dismantling system includes a plasma cutting machine.
  5. 5 . The method of claim 1 , wherein the plurality of simulations include structural integrity simulations which are utilized in identifying a proper sequence of cuts within the closed-loop 3D contour.
  6. 6 . The method of claim 1 , wherein the ideal dismantling workflow corresponds to one or more material requests maintained in a knowledge corpus, wherein the one or more material requests are prioritized based on preferences of the user.
  7. 7 . The method of claim 1 , wherein the ideal dismantling workflow includes storage and transportation of dismantled portions of the structure, wherein the storage and the transportation of the dismantled portions are monitored utilizing data received from one or more Internet of Things (IoT) devices.
  8. 8 . A computer system for implementing an ideal dismantling workflow, comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: generating a model of a structure to be dismantled; analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system, wherein the plurality of machines are designated by a user within a user interface for dismantling the structure; performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system; and generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure.
  9. 9 . The computer system of claim 8 , wherein the plurality of simulations include trial-and-error simulations utilized in which simulation data is utilized in training a baseline machine learning model.
  10. 10 . The computer system of claim 9 , further comprising: program instructions, stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more processors via at least one of the one or more memories, to monitor an implementation of the ideal dismantling workflow, wherein additional data is received from one or more Internet of Things (IoT) devices; and program instructions, stored on at least one of the one or more computer-readable storage media for execution by at least one of the one or more processors via at least one of the one or more memories, to retrain the baseline machine learning model based on the additional data received using one or more reinforcement learning methods.
  11. 11 . The computer system of claim 8 , wherein the model of the structure to be dismantled is a three-dimensional (3D) mesh model, and wherein the dismantling system includes a plasma cutting machine.
  12. 12 . The computer system of claim 8 , wherein the plurality of simulations include structural integrity simulations which are utilized in identifying a proper sequence of cuts within the closed-loop 3D contour.
  13. 13 . The computer system of claim 8 , wherein the ideal dismantling workflow corresponds to one or more material requests maintained in a knowledge corpus, wherein the one or more material requests are prioritized based on preferences of the user.
  14. 14 . The computer system of claim 8 , wherein the ideal dismantling workflow includes storage and transportation of dismantled portions of the structure, wherein the storage and the transportation of the dismantled portions are monitored utilizing data received from one or more Internet of Things (IoT) devices.
  15. 15 . A computer program product for implementing an ideal dismantling workflow, comprising: one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions comprising: generating a model of a structure to be dismantled; analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system, wherein the plurality of machines are designated by a user within a user interface for dismantling the structure; performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system; and generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure.
  16. 16 . The computer program product of claim 15 , wherein the plurality of simulations include trial-and-error simulations utilized in which simulation data is utilized in training a baseline machine learning model.
  17. 17 . The computer program product of claim 16 , further comprising: program instructions, stored on at least one of the one or more computer-readable storage media, to monitor an implementation of the ideal dismantling workflow, wherein additional data is received from one or more Internet of Things (IoT) devices; and program instructions, stored on at least one of the one or more computer-readable storage media, to retrain the baseline machine learning model based on the additional data received using one or more reinforcement learning methods.
  18. 18 . The computer program product of claim 15 , wherein the model of the structure to be dismantled is a three-dimensional (3D) mesh model, and wherein the dismantling system includes a plasma cutting machine.
  19. 19 . The computer program product of claim 15 , wherein the plurality of simulations include structural integrity simulations which are utilized in identifying a proper sequence of cuts within the closed-loop 3D contour.
  20. 20 . The computer program product of claim 15 , wherein the ideal dismantling workflow corresponds to one or more material requests maintained in a knowledge corpus, wherein the one or more material requests are prioritized based on preferences of the user.

Description

BACKGROUND The present invention relates generally to the field of computing, and more particularly to intelligent workflow solutions. Dismantling various structures of different sizes and materials requires precise planning and execution. These industrial dismantling processes must consider factors such as, but not limited to, structural stability, optimal cut paths, and reusability of cut portions, amongst various other considerations. Additionally, these industrial dismantling processes often lack a concise systematic approach which fail to consider advanced technologies and can lead to inefficiencies, challenges, and safety concerns. SUMMARY Embodiments of the present invention disclose a method, computer system, and a computer program product for implementing an ideal dismantling workflow. The present invention may include generating a model of a structure to be dismantled. The present invention may include analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system, wherein the plurality of machines are designated by a user within a user interface for dismantling the structure. The present invention may include performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system. The present invention may include generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure. In addition to a method, additional embodiments are directed to a computer system and a computer program product for generating an ideal dismantling workflow to dismantle a structure according to available robotic and dismantling systems based on a plurality of simulations. This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS These and other objects, features and advantages of the present invention will become apparent from the following detailed description of illustrative embodiments thereof, which is to be read in connection with the accompanying drawings. The various features of the drawings are not to scale as the illustrations are for clarity in facilitating one skilled in the art in understanding the invention in conjunction with the detailed description. In the drawings: FIG. 1 depicts a block diagram of an exemplary computing environment according to at least one embodiment; and FIG. 2 is an operational flowchart illustrating a process for determining an ideal dismantling workflow according to at least one embodiment. DETAILED DESCRIPTION The following described exemplary embodiments provide a system, method and program product for determining an ideal dismantling workflow. As such, the present embodiment has the capacity to improve the technical field of intelligent workflow solutions by determining an ideal dismantling workflow for a structure based on a plurality of simulations performed using a model of the structure. More specifically, the present invention may include generating a model of a structure to be dismantled, analyzing capabilities of a plurality of machines comprising a robotic system and a dismantling system, performing a plurality of simulations using the model of the structure to be dismantled and a plurality of digital twins corresponding to each machine within the robotic system and the dismantling system, and generating an ideal dismantling workflow, wherein the ideal dismantling workflow includes at least a closed-loop three-dimensional (3D) contour and instructions for each machine within the robotic system and the dismantling system to be utilized in the dismantling of the structure. As described previously, Dismantling various structures of different sizes and materials requires precise planning and execution. These industrial dismantling processes must consider factors such as, but not limited to, structural stability, optimal cut paths, and reusability of cut portions, amongst various other considerations. Additionally, these industrial dismantling processes often lack a concise systematic approach which fail to consider advanced technologies and can lead to inefficiencies, challenges, and safety concerns. Therefore, it may be advantageous to, among other things, generate a model of a structure to be dismantled, analyze capabilities of a plurality of machines comprising a robotic system and a dismantling system, perform a plurality of simulations using the mod