Digital Twin Control for Dotting Machines Using Differential Sampling
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Solution Overview
Problem
Current dotting machine operations require manual real-time observation and control, limiting remote parallel control, leading to inefficiencies, safety risks, and high labor costs due to the need for operators to be present during high-speed machining processes.
Innovation Solution
A parallel control method using multi-period differential sampling and digital twinning technologies, which enables remote control by establishing a detection model and simulation model through image processing and virtual-real synchronization, allowing for real-time monitoring and precise control of dotting machine equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual real-time observation and control is used for dotting machine equipment, then the operator can directly monitor and adjust machining operations, but the operator must stay in the machining workshop which exposes them to safety risks from high-speed motions
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the dotting machine equipment that replicates its machining operations. The operator interacts with this virtual model instead of the physical machine, allowing remote control while maintaining full monitoring capability. This resolves the contradiction by eliminating the need for the operator to be physically present near high-speed moving parts.
Solution Approach 2:
The system introduces a photographing device and image processing system as intermediaries between the operator and the dotting machine. These intermediaries capture real-time machining images, process them through multi-period differential sampling, and present them to the operator for control decisions, enabling safe remote operation.
2Productivity
If one operator is allocated to each dotting machine for manual control, then each machine can be operated and monitored, but labor costs increase and parallel control of multiple machines cannot be achieved
Solution Approach 1:
The digital twin system serves multiple dotting machines simultaneously through a single operator interface. The virtual model can be replicated and connected to multiple physical machines, allowing one operator to control and monitor multiple machines in parallel, dramatically improving productivity while reducing labor requirements.
Solution Approach 2:
The patent merges the control interfaces of multiple dotting machines into a single unified digital twin system. By combining multiple virtual models into one integrated control environment, the operator can manage multiple machines through a single interface, reducing the need for multiple operators while maintaining comprehensive control.
3Manufacturing precision
If the operator manually regulates and controls machining operations in real-time, then machining quality can be monitored, but the operations become complex and frequent shutdowns occur which prolongs the machining period
Solution Approach 1:
The system implements automated feedback through multi-period differential sampling of machining images. The image processing module continuously analyzes machining quality parameters and provides real-time feedback to the digital twin, enabling automatic adjustments without operator intervention. This maintains machining precision while eliminating frequent shutdowns for manual inspection.
Solution Approach 2:
The digital twin system performs preliminary analysis and prediction of machining quality issues before they occur. By analyzing historical data and current machining patterns through the virtual model, the system can anticipate potential quality problems and make preventive adjustments, reducing the need for reactive shutdowns and manual interventions during machining.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances control convenience and accuracy, ensures product quality, and improves operator safety by enabling remote operation and reducing labor costs through real-time monitoring and synchronization of physical and digital models.
Implementation Method 1
photographing, by the photographing device, the machining raw material in each of a plurality of machining periods to obtain a plurality of periodic samples
Implementation Method 2
integrating, by an integration processing module, the plurality of periodic samples into a sample image of one period by using a differential sampling technology over oscillation periods
Implementation Method 3
processing, by an image processing module, the sample image to obtain a detection image
Implementation Method 4
integrating the dotting machine model with the dotting machine equipment by using a virtual-real synchronization technology with a simulation platform to achieve motion synchronization
Data Source
AI summary
The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.