Machine Tool Chip Detection With Grid-Based Fluid Discharge
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Solution Overview
Problem
Existing techniques for detecting chips in machine tools using heat detectors lack sufficient accuracy, leading to inefficient chip removal processes.
Innovation Solution
An information processing device that utilizes image data from cameras to detect chips by dividing the machine tool's interior into grids and areas, employing machine learning to improve detection accuracy and automate the fluid discharge for chip removal, while also assessing image reliability to prevent erroneous chip detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a heat detector is used to detect chips, then the detection system can operate without visual sensors, but the detection accuracy of chips is insufficient
Solution Approach 1:
The patent replaces heat detection (thermal field) with visual sensing (optical field) for chip detection. The camera-based visual sensor system substitutes the heat detector, enabling accurate image-based detection of chips while allowing for sophisticated image processing and analysis algorithms to enhance detection precision and reliability.
Solution Approach 2:
The patent creates a visual copy (image) of the chip and its surrounding environment using a camera. This optical copy allows for detailed analysis, pattern recognition, and accurate identification of chips based on their visual characteristics, thereby improving detection accuracy compared to thermal detection.
2Productivity
If manual chip removal is performed, then chip removal can be completed, but the time and human intervention required increase
Solution Approach 1:
The system enables automated chip removal by having the machine tool itself perform the removal operation based on automatic chip detection. The control unit automatically triggers the fluid discharge mechanism when chips are detected, eliminating the need for manual intervention and reducing chip removal time while maintaining operational efficiency.
Solution Approach 2:
The patent implements a feedback loop where the camera continuously monitors for chips, the control unit processes the image data to detect chips, and automatically activates the fluid discharge mechanism when chips are detected. This closed-loop feedback system enables automatic chip removal, reducing both time and human intervention requirements.
Data Source
AI summary
A process includes: (i) receiving image data, dividing a portion of the image data into a plurality of grids including a first grid, a second grid, a third grid, and a fourth grid, dividing the portion of the image data into a plurality of areas including (a) a first area including the first grid and the third grid, and (b) a second area including the second grid and the fourth grid; (ii) detecting an object relating to the first grid; and (iii) when the object is detected in the first grid, generating a signal for controlling discharge of fluid from a fluid discharging unit so that fluid flows through the first area including the first grid.