Machining Image Capture Control Under Coolant Obstruction
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Solution Overview
Problem
Imaging devices struggle to capture suitable images of machining machines due to unsuitable imaging environments, often obstructed by coolants or other factors.
Innovation Solution
An imaging environment adjustment device with a trigger detection unit, setting table, and imaging environment adjustment unit that detects triggers and adjusts the environment by controlling settings such as coolant flow and spindle movement to optimize imaging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an imaging device captures an image of a machining machine, then the imaging function is performed, but the imaging quality deteriorates due to unsuitable environment (coolant obstruction, etc.)
Solution Approach 1:
The system performs preliminary actions by detecting triggers (such as imaging requests or environmental conditions) and adjusting the imaging environment before the actual imaging occurs. The control unit modifies coolant flow, spindle position, or other environmental factors in advance to ensure optimal imaging conditions are established prior to image capture, thereby resolving the contradiction between maintaining imaging function and improving imaging quality.
2Measurement precision
If the imaging environment is adjusted to optimize image capture, then imaging quality improves, but the machining process may be interrupted or slowed down
Solution Approach 1:
The system implements periodic action by adjusting the imaging environment only at specific intervals or under specific conditions (trigger events) rather than continuously. The control unit monitors for trigger conditions (such as imaging requests, tool changes, or specific machining stages) and only then modifies environmental parameters, allowing the machining process to proceed uninterrupted during normal operation while ensuring optimal imaging conditions when needed.
3Measurement precision
If multiple environment settings are adjusted simultaneously for optimal imaging, then imaging quality improves, but the system complexity increases
Solution Approach 1:
The system employs feedback mechanisms by monitoring environmental parameters (such as coolant flow status, spindle position, lighting conditions) and using this information to automatically adjust settings through the control unit. The trigger detection unit and environmental sensors provide continuous feedback about the current state, enabling the control unit to make intelligent, automated decisions about which environment settings to adjust and to what extent, thereby improving imaging quality without requiring complex manual coordination of multiple parameters.
Data Source
AI summary
This imaging environment adjusting device comprises: a trigger detection unit which detects at least one type of trigger; a setting table which stores at least one environment setting item for defining an imaging environment for a processing machine; a determination result acquisition unit which acquires a determination result regarding whether to adjust the imaging environment so as to be in a control state specified by the at least one environment setting item; and an imaging environment adjusting unit which adjusts the imaging environment so as to be in the control state specified by the at least one environment setting item when the trigger detection unit detects at least one type of trigger and the determination result acquired by the determination result acquisition unit indicates to adjust the imaging environment.