Preventive Maintenance System for Movable Parts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to effectively detect malfunctions in movable parts, such as robot arms, before they cause damage or reduce productivity, leading to potential damage to transported objects and decreased efficiency in semiconductor manufacturing and other applications.
Innovation Solution
A preventive maintenance system equipped with sensors that accumulate operation data and detect malfunctions by correlating data with predefined malfunction modes, notifying operators or ordering replacement parts to prevent actual failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors and data accumulation systems are installed to detect malfunctions, then reliability of detecting malfunction indications is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by accumulating operation data and establishing correlations with malfunction modes before actual malfunctions occur. This allows the system to detect early indications of malfunctions by comparing real-time sensor data against pre-established patterns, improving detection reliability without requiring complex real-time analysis systems.
Solution Approach 2:
The patent introduces an intermediary data processing layer that accumulates and analyzes operation data to establish correlations between normal operation and malfunction modes. This intermediary system acts as a mediator between raw sensor data and malfunction detection, simplifying the overall system architecture while improving detection reliability through pattern recognition.
2Productivity
If continuous monitoring of operation data is implemented, then productivity is improved by preventing malfunctions, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary data processing by accumulating operation data and establishing malfunction correlations in advance. This allows real-time monitoring to focus only on comparing current operation against pre-established patterns, reducing real-time processing time while maintaining high productivity through early malfunction detection.
Solution Approach 2:
The system implements partial monitoring by focusing only on specific operation parameters that have been established as correlated with malfunction modes. Rather than analyzing all possible data points continuously, the system monitors only the critical parameters identified through preliminary analysis, reducing processing time while maintaining productivity benefits.
Data Source
AI summary
A preventive maintenance system includes a sensor attached to a movable part, and a preventive maintenance device which accumulates data on the operation of the movable part detected with the sensor, detects an indication of a malfunction of the movable part from a correlation between the operation data and a malfunction mode of the movable part, and notifies an operator of an indication of the malfunction when the indication of the malfunction of the movable part is found, or orders a replacement part for a component part which is a cause of the indication of the malfunction.