CNC Flame Recognition Using Machine State and Sensor Feedback
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Solution Overview
Problem
Numerical control machines, such as CNC machines and laser machining equipment, often experience high temperatures leading to potential fires within their cabins, which can go undetected if not properly monitored.
Innovation Solution
A flame recognition method is implemented, which involves obtaining state information from the numerical control machine, detecting flame information through sensors and cameras, and triggering exception handling if flames are detected to prevent fires.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If flame monitoring is implemented in numerical control machines, then fire safety is improved, but device complexity increases
Solution Approach 1:
A flame monitor is introduced as an intermediary device between the machining environment and the control system. The flame monitor detects flames in the cabin and transmits signals to the controller, which then triggers exception handling. This intermediary approach improves fire safety while keeping the core machining system unchanged.
Solution Approach 2:
The system implements feedback by continuously monitoring the cabin environment for flames and automatically responding through the controller. When the flame monitor detects a flame, it sends a signal back to the controller, which then executes exception handling measures such as pausing machining or activating fire suppression systems.
2Reliability
If exception handling is triggered to suppress flames, then fire prevention is improved, but productivity decreases
Solution Approach 1:
The exception handling is designed to apply partial action by selectively responding to flame detection. The controller evaluates the flame signal and triggers handling measures only when necessary, rather than continuously interrupting machining. This approach prevents fires while minimizing impact on overall productivity.
Data Source
AI summary
A flame recognition method includes: obtaining state information of the numerical control machine, where the state information indicates a condition of machining performed by the numerical control machine; obtaining flame information based on the state information, where the flame information indicates whether flames are generated in a machining process; and confirming whether exception handling of the numerical control machine is triggered according to the flame information.