A device overhaul simulation control method based on a dynamic loading model

By employing dynamic loading strategies and asynchronous multithreading technology, the problems of slow startup and resource waste in virtual maintenance systems for large industrial equipment have been solved, achieving efficient resource management and improved user experience.

CN122111654APending Publication Date: 2026-05-29HUANENG YINGKOU THERMAL POWER CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
HUANENG YINGKOU THERMAL POWER CO LTD
Filing Date
2026-01-30
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Traditional full-load methods result in slow startup and high memory consumption for virtual maintenance training systems for large industrial equipment. Furthermore, existing technologies cannot effectively utilize computing resources for high-fidelity rendering and real-time physical feedback of critical components.

Method used

A dynamic loading strategy is adopted, which identifies visible components through the view frustum region, calculates the loading priority index, loads model data asynchronously and in multiple threads, and combines dynamic baking logic for lighting rendering to calculate collision feedback and state changes in real time, thereby achieving intelligent allocation of resources.

Benefits of technology

With limited resources, ensure the smoothness and clarity of core maintenance tasks, reduce hardware load, improve user interaction experience, and achieve efficient resource management.

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Abstract

The application discloses a device overhaul simulation control method based on a dynamic loading model, and relates to the technical field of virtual simulation; the method aims at the problem of large device full model rendering lag, and proposes a resource scheduling strategy based on a mixed weight, comprehensively considers the visual centrality of components in a view frustum and the semantic association strength in the current overhaul task, constructs a loading priority index model, realizes high-precision priority loading of key operation components and on-demand degradation of irrelevant backgrounds, and combines an asynchronous multithreading architecture and a memory dynamic release mechanism based on future task prediction, so that the smoothness of core interaction is ensured, the video memory occupation is greatly reduced, and the hierarchical light rendering logic is matched, thereby realizing high-fidelity and low-delay simulation of a complex industrial device overhaul process under limited hardware resources.
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