Laser Cutter Temperature Sensing for Real-Time Anomaly Detection
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Solution Overview
Problem
CNC machines, particularly laser cutters, face challenges in detecting and responding to anomalous conditions during operations, such as misalignment, uncontrolled laser beams, and material processing issues, due to the complexity of their design and the sensitivity of their components, which can lead to safety hazards and production errors.
Innovation Solution
Implementing a system that compares sensor data from CNC machines with forecasted data generated based on execution plans, using sensors like motion sensors and cameras, to detect deviations and perform corrective actions, such as adjusting the laser cutting head or activating safety features, to maintain operation safety and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional manufacturing techniques are used, then simplicity of operation is maintained, but manufacturing precision and capability are insufficient for complicated items
Solution Approach 1:
The patent implements feedback by continuously monitoring sensor data during CNC machine operation and comparing it against forecasted values generated from the execution plan. When deviations are detected, the system automatically adjusts machine parameters or halts operation to prevent defects, thereby achieving high manufacturing precision through real-time closed-loop control without requiring complex manual intervention.
Solution Approach 2:
The system performs preliminary action by generating forecasted sensor data based on the execution plan before the actual machining operation begins. This allows the system to establish expected parameter ranges and detect anomalies in real-time during operation, enabling proactive quality control rather than reactive correction after defects occur.
2Productivity
If automated manufacturing methods are implemented, then productivity and manufacturing precision are improved, but reliability decreases due to undetected anomalous conditions
Solution Approach 1:
The patent implements feedback by continuously monitoring sensor data during CNC machine operation and comparing it against forecasted values generated from the execution plan. When deviations are detected, the system automatically adjusts machine parameters or halts operation to prevent defects, thereby achieving high manufacturing precision through real-time closed-loop control without requiring complex manual intervention.
Solution Approach 2:
The system performs self-service by automatically detecting anomalies through sensor data comparison and executing corrective actions without human intervention. The CNC machine monitors its own operation parameters, identifies deviations from expected behavior, and autonomously adjusts or halts processing to prevent defects, enabling automated manufacturing to maintain high reliability without constant human oversight.
3Reliability
If real-time anomaly detection is implemented, then reliability is improved, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The patent applies universality by using existing sensors already present in the CNC machine for their primary functions while simultaneously utilizing them for anomaly detection. The same sensors that monitor basic operational parameters are repurposed to compare against forecasted values and detect deviations, eliminating the need for separate dedicated anomaly detection sensors and reducing overall system complexity.
Solution Approach 2:
The patent implements feedback by continuously monitoring sensor data during CNC machine operation and comparing it against forecasted values generated from the execution plan. When deviations are detected, the system automatically adjusts machine parameters or halts operation to prevent defects, thereby achieving high manufacturing precision through real-time closed-loop control without requiring complex manual intervention.
4Measurement precision
If forecast-based anomaly detection is used, then measurement precision of anomalies is improved, but loss of time occurs in generating and processing forecasts
Solution Approach 1:
The system performs preliminary action by generating forecasted sensor data based on the execution plan before the actual machining operation begins. This allows the system to establish expected parameter ranges and detect anomalies in real-time during operation, enabling proactive quality control rather than reactive correction after defects occur.
Solution Approach 2:
The patent applies continuity of useful action by generating forecasts continuously during the machining operation rather than intermittently. The forecast generation and sensor data comparison occur continuously throughout the process, ensuring that anomalies are detected immediately when they occur without time delays, thereby maintaining high measurement precision while minimizing time loss through efficient real-time processing.
Data Source
AI summary
Sensor data generated by a sensor of a computer numerically controlled machine can be compared with a forecast. The forecast can include expected sensor data for the sensor, over a course of an execution plan for making a cut with a movable laser cutting head. The sensor data can be generated during execution of the execution plan. During execution of the execution plan, the sensor data can be monitored and a deviation of from the forecast can be detected. It can be determined, based on the detecting, that an anomalous condition of the computer numerically controlled machine has occurred. Based on the determining, an action can be performed.