Numerical Controller Abnormality History Analysis Support
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Solution Overview
Problem
Existing numerical controllers require extensive manual analysis of large amounts of CNC information to identify potential spindle collisions, leading to prolonged investigation times and inefficiencies in machine tool maintenance.
Innovation Solution
A numerical controller with a machine abnormality history analysis support function that includes an abnormality detection unit, data storage unit, and drawing unit to generate graphical tool images in a coordinate space, allowing for highlighted display of potentially problematic CNC information, thereby facilitating quick identification of spindle collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If CNC information is stored for all detected abnormalities, then the quantity of stored data increases, but the time required for manual analysis increases
Solution Approach 1:
A graphical user interface acts as an intermediary between the stored CNC information and the operator. The display unit generates visual representations (tool images, coordinate space diagrams, highlighted abnormal positions) that mediate the analysis process, allowing operators to quickly identify problematic information without manually examining raw data sets.
Solution Approach 2:
The manual mechanical process of analyzing text-based CNC information is replaced with an automated graphical display system. The control unit automatically generates visual representations and highlights abnormal positions, substituting the operator's manual analysis work with automated graphical processing and presentation.
2Measurement precision
If manual analysis of CNC information is performed, then detailed examination is possible, but the investigation process takes a long time
Solution Approach 1:
The display unit uses visual highlighting (color changes or distinct visual markers) to indicate abnormal positions in the coordinate space. This allows operators to immediately distinguish problematic CNC information from normal operation data, maintaining detection accuracy while dramatically reducing the time required to identify spindle collisions or other abnormalities.
Solution Approach 2:
The system transforms one-dimensional text-based CNC information into two-dimensional graphical representations in coordinate space. This dimensional transformation allows multiple parameters (position, time, abnormality type) to be visualized simultaneously, enabling quick visual assessment without sacrificing analytical depth.
3Duration of action of stationary object
If large amounts of CNC information are stored, then historical analysis capability is improved, but the complexity of data management increases
Solution Approach 1:
The system extracts and highlights only the relevant abnormal positions from the large body of stored CNC information. Instead of requiring operators to manage and search through all data, the display unit automatically identifies and presents only the extracted abnormal cases, simplifying data management while preserving historical analysis capability.
Data Source
AI summary
A numerical controller having a machine abnormality history analysis support function includes drawing unit for generating a tool image based on CNC information in which operation state information of a machine tool at the time of detection of an abnormality by an abnormality detection unit is associated with information about the detected abnormality, and arranging and drawing the tool image in a coordinate space.