IIoT Parameter Control for Gear Machining Without Simulation Testing

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Solution Overview

Problem

In manufacturing, determining optimal working parameters for manufacturing devices is time-consuming and labor-intensive, leading to inefficiencies and inaccuracies, especially as devices age and parameters interact with each other, affecting product quality.

Innovation Solution

An Industrial Internet of Things (IoT) system with a five-platform structure that automatically controls and regulates working parameters by obtaining and processing parameter information, determining initial and target parameter combinations, and generating combined data for manufacturing devices, allowing for real-time adjustments and optimal parameter selection without simulation testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual or computer calculation with continuous simulation experiments is used to obtain optimal working parameters, then the optimal parameter values can be found, but the process is extremely time-consuming and labor-intensive

Engineering Contradiction:

Improveoptimal parameter accuracyVSAvoidparameter optimization time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by collecting historical working parameter data and product manufacturing data in advance, building a database that can be quickly queried and analyzed to determine optimal parameters without requiring continuous simulation experiments at the time of manufacturing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates a virtual model by copying historical data patterns and relationships, using algorithms to simulate and analyze parameter optimization in a virtual environment, thereby avoiding time-consuming physical simulation experiments while maintaining accuracy

Inventive Principle:

Principle #26Copying

2Manufacturing precision

If optimal parameter values are determined individually for multiple working parameters and then combined, then comprehensive optimization can be achieved, but the combined parameters cause uncertainty and inaccuracy

Engineering Contradiction:

Improveparameter optimization accuracyVSAvoidparameter combination uncertainty

Core Design Contradiction:

Manufacturing precisionVSReliability

Solution Approach 1:

The system merges the determination of multiple working parameters into a unified process by analyzing their interrelationships through algorithms that process all parameters simultaneously, rather than determining them individually and combining them, thereby reducing uncertainty and improving reliability

Inventive Principle:

Principle #5Merging (Combining)

3Manufacturing precision

If working parameters are adjusted in real-time to account for device wear and use time, then optimal performance can be maintained, but the adjustment process is time-consuming and labor-intensive

Engineering Contradiction:

Improveparameter accuracy over timeVSAvoidparameter adjustment efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system enables self-service by automatically monitoring device usage time and wear conditions, then autonomously adjusting working parameters based on pre-established relationships between device state and optimal parameters, eliminating the need for manual intervention and maintaining high productivity

Inventive Principle:

Principle #25Self-service

4Adaptability or versatility

If device parameters are limited to certain intervals without further constraint, then device operation flexibility is maintained, but optimal working environment cannot be achieved

Engineering Contradiction:

Improveparameter range flexibilityVSAvoidoptimal working environment accuracy

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system applies local quality by maintaining broad parameter intervals for device flexibility while dynamically determining precise optimal values within those intervals based on real-time conditions, historical data, and interparameter relationships, thereby achieving both adaptability and manufacturing precision

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12045036B2Industrial internet of things, control method, and medium for automatically controlling working parameters of manufacturing device

Publication Date: 2024.07.23 CHENGDU QINCHUAN IOT TECH CO LTD

AI summary

The present disclosure discloses an Industrial Internet of Things, a control method, and a medium for automatically controlling working parameters of a manufacturing device. The Industrial Internet of Things may include an obtaining module and a determination module, wherein the obtaining module is configured to obtain a finished product-required parameter information and a user instruction, wherein the finished product-required parameter information includes finished gear-required parameter information of a gear machining device; and the determination module is configured to: obtain historical relating data information; determine a plurality of initial parameter combinations; and determine a target parameter combination of a gear processing process by a preset algorithm; generate combined data of the manufacturing device based on at least one of the target parameter combination of the gear processing process, a target parameter combination of a screw machining process, and a target parameter combination of a bearing machining process.