Adaptive Adjustment Method and System for Bevel Gear Pairs Based on Installation Distance Deviation

CN121821054BActive Publication Date: 2026-05-26SHANXI TIANDI COAL MINING MACHINERY +1

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Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: SHANXI TIANDI COAL MINING MACHINERY
Filing Date: 2026-03-12
Publication Date: 2026-05-26

Application Information

Patent Timeline

12 Mar 2026

Application

26 May 2026

Publication

CN121821054B

IPC: B23P19/04; G06F30/17; G06F30/23; G06F30/27; G06N3/0442; G06N3/045; G06N3/0499; G06N3/084; G05B13/04; G06F119/14

CPC: G06F30/17; G06F30/23; G06F30/27; G06N3/0442; G06N3/045; G06N3/0499; G06N3/084; B23P19/04

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Application Domain

Geometric CAD Design optimisation/simulation

Technology Topics

Control engineering Self adaptive

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AI Technical Summary

Technical Problem

In the existing technology, the installation distance adjustment of bevel gear pairs cannot adapt to the dynamic error evolution, and the adjustment accuracy and stability are difficult to guarantee, resulting in the meshing state being difficult to stabilize in the long term.

Method used

By acquiring real-time installation characteristic data of bevel gear pairs and combining it with installation design schemes to analyze installation distance deviation adjustment, a hidden installation error trend map is constructed. Digital twin simulation and iterative optimization are then performed using real-time installation twins and evaluation models to obtain the optimal installation adjustment strategy and achieve adaptive adjustment.

Benefits of technology

It enables dynamic adaptation to error evolution, improves installation and adjustment accuracy, and ensures long-term operational stability.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses an adaptive adjustment method and system for bevel gear pairs based on installation distance deviation, relating to the field of intelligent assembly. The method includes: acquiring real-time installation characteristic data; analyzing the installation distance deviation adjustment based on the installation design scheme to obtain an initial installation adjustment scheme; predicting multi-dimensional implicit installation error trends based on basic characteristic data and real-time installation characteristic data to construct an implicit installation error trend map; performing implicit installation error suppression compensation on the initial scheme based on the map to obtain the installation adjustment space; constructing a real-time installation twin and a bevel gear pair installation evaluation model; and performing iterative optimization of the installation adjustment space to obtain an installation adjustment optimization strategy. This application solves the technical problems of existing installation distance adjustments being unable to adapt to dynamic error evolution and having difficulty guaranteeing adjustment accuracy and stability, achieving the technical effects of dynamically adapting to error evolution, improving installation adjustment accuracy, and ensuring long-term operational stability.

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