Machining Event Display Using Feature Data Extraction Rules

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Solution Overview

Problem

The vast amount of operational data from machining machines makes it burdensome for operators to identify characteristic data representing events that have occurred, such as chatter marks or spindle load fluctuations, which hinders efficient analysis and troubleshooting.

Innovation Solution

An operational status display device and computer-readable storage medium that utilize an event setting table to associate event designation information, operational data identity information, and extraction conditions, allowing for the acquisition and display of feature data indicating event occurrences, facilitating easy identification of relevant operational data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If all operational data is acquired and stored from the machining machine, then the completeness of data is improved, but the burden of finding characteristic data increases significantly

Engineering Contradiction:

Improvecompleteness of operational dataVSAvoidease of finding characteristic data

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent extracts only the characteristic data relevant to specific events from the vast operational data. The extraction condition setting unit allows operators to define specific conditions for extracting meaningful data, while the data extraction unit automatically retrieves only the relevant portions, eliminating the need to manually search through all operational data.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces an intermediary system consisting of the event setting table, extraction condition setting unit, and data extraction unit. This intermediary automatically processes the relationship between events and operational data, matching events with their corresponding characteristic data based on predefined conditions, thereby reducing the operator's burden of manually finding characteristic data.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If manual analysis of operational data is performed to identify events, then the accuracy of event identification is improved, but the time required for analysis increases

Engineering Contradiction:

Improveaccuracy of event identificationVSAvoidtime required for data analysis

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-defining events and their corresponding extraction conditions in the event setting table before actual data analysis. The system automatically matches operational data against these predefined conditions and extracts characteristic data, eliminating the need for time-consuming manual analysis while maintaining accurate event identification.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback through the automatic matching and extraction process. The data extraction unit continuously monitors operational data, compares it against predefined extraction conditions, and automatically extracts characteristic data when conditions are met, providing real-time feedback without manual intervention and significantly reducing analysis time.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If comprehensive operational data is collected for all possible events, then the coverage of event detection is improved, but the complexity of data management increases

Engineering Contradiction:

Improvecoverage of event detectionVSAvoidcomplexity of data management

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the data management process into distinct functional units: the event setting table for storing event definitions, the extraction condition setting unit for defining data extraction criteria, and the data extraction unit for retrieving characteristic data. This segmentation allows comprehensive event detection while simplifying data management through modular organization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal data extraction system that can handle multiple types of events and operational data through a single integrated framework. The event setting table and extraction condition setting unit are designed to accommodate various event types and data formats, providing multi-functional capability that reduces overall system complexity despite comprehensive coverage.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240201650A1Operational status display device and computer-readable storage medium

Publication Date: 2024.06.20 FANUC LTD

AI summary

This operational status display device comprises: an event setting table for storing event designation information that designates an event occurring in a machining machine, operational data identity information for identifying operational data on the machining machine, and extraction conditions for extracting feature data indicating the occurrence of an event from the operational data in association with each other; a first acquisition unit which acquires the operational data identity information and the extraction conditions, associated with the event designation information from the event setting table, on the basis of the event designation information; a second acquisition unit that acquires feature data from the operational data, on the basis of the operational data identity information and the extraction conditions acquired by the first acquisition unit; and a display unit which displays, on a display screen, the feature data acquired by the second acquisition unit.