Substance Adhesion Simulation for Imaging Device Reliability
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Solution Overview
Problem
Current simulation apparatuses for determining the installation position and adjusting parameters of imaging devices require specialized skills and knowledge, and existing robots for detecting adhered substances on hands rely on image comparison or contact sensors, which are not efficient for estimating substance adhesion states in various forms (liquid, gas, mist, powder, or combined states).
Innovation Solution
A substance adhesion simulation apparatus with an input device and processing unit that estimates the adhesion state of substances to devices, including imaging devices and robots, by inputting models and presence state information, simulating the generation and movement of substances, and calculating their adhesion effects on machine tools and imaging devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image comparison or contact sensors are used to detect adhered substances, then detection capability is provided, but the method is limited to specific states (hand detection only) and not efficient for various substance forms
Solution Approach 1:
The patent creates a virtual simulation model that copies real-world substance adhesion phenomena. Instead of using physical sensors for each substance type, the system creates digital twins of substances (liquid, gas, mist, powder, dust) and their adhesion behaviors, allowing versatile detection through simulation without requiring specialized physical sensors for each substance form.
Solution Approach 2:
The simulation apparatus changes parameters to represent different substance states (liquid, gas, mist, powder, dust) and their adhesion characteristics. By adjusting simulation parameters such as substance concentration, flow rate, particle size, and adhesion strength, the system can accurately model and detect various substance forms on different surfaces including imaging devices and robot hands.
2Measurement precision
If specialized skills and knowledge are required for imaging device installation and parameter adjustment, then precise configuration is achieved, but work efficiency is reduced
Solution Approach 1:
The simulation apparatus performs preliminary actions by pre-simulating substance adhesion scenarios and determining optimal imaging device installation positions and parameters before actual deployment. The system pre-calculates the best camera angles, lighting positions, and detection parameters for various substance types, so that when actual installation is needed, technicians can directly apply the pre-determined configurations without requiring extensive specialized knowledge or time-consuming trial and error.
3Reliability
If multiple gripping portions are used to detect surface state, then contact-based detection is provided, but the system complexity increases and automation is limited
Solution Approach 1:
The patent replaces mechanical detection systems (multiple physical gripping portions and contact sensors) with a computational simulation system. Instead of adding more physical components to detect surface states, the system uses virtual simulation to model substance adhesion on contacted surfaces, substituting mechanical complexity with information processing and mathematical modeling to achieve the same detection reliability.
Data Source
AI summary
This substance adhesion simulation system includes an input unit for inputting a model of a device, and information of a presence state of a substance which may be able to adhere to the device, and a processing unit which estimates an adhesion state of the substance to the device by using the information, which is input to the input unit, and the substance is in a liquid state, a gas state, a mist state, a powder state, a dust state, or a state combining the liquid state and the mist state.