Robot Event Log Diagnosis for Production Synchronization Issues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Detecting problems in a production system with multiple robots is challenging due to the complexity of analyzing event logs, which can lead to unnoticed synchronization issues and eventual production line halts, making it difficult for operators to monitor and analyze data from a large number of robots.
Innovation Solution
A data processing device that obtains and analyzes historical and operational event data to calculate alarm indicators, defines threshold values, and provides notifications and highlights events contributing to operational issues, allowing for automated fault diagnosis and reducing the complexity of monitoring information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operators manually monitor and analyze event logs from each robot, then they can detect problems, but the complexity of analysis increases and it becomes nearly impossible to monitor data from a large number of robots
Solution Approach 1:
The patent introduces an intermediary system that automatically analyzes event logs and generates alarm indicators. This intermediary processing layer transforms raw event data into meaningful alarm signals, reducing the complexity of manual monitoring while maintaining reliable problem detection capability across multiple robots
Solution Approach 2:
The system enables self-service monitoring by automatically generating alarm indicators from event logs without requiring operator intervention for analysis. The automated processing of event data into alarm indicators allows the system to monitor itself, freeing operators from the burden of manually analyzing complex event logs from multiple robots
2Loss of information
If operators use dashboards to monitor event data from each robot, then they can visualize information, but the number of dashboards increases with the number of robots making analysis nearly impossible
Solution Approach 1:
The patent merges individual robot event data into a unified alarm indicator system. Instead of maintaining separate dashboards for each robot, the system combines event logs from multiple robots and generates consolidated alarm indicators, reducing the number of visualizations from many individual dashboards to a manageable set of aggregated alarm signals
Solution Approach 2:
The system transitions from monitoring individual event parameters across multiple robots to monitoring aggregated alarm indicator values. This dimensional transformation aggregates data across the robot dimension, converting numerous individual data points into a smaller set of composite alarm indicators that are easier to monitor and analyze
3Productivity
If synchronization problems occur between robots, then production efficiency may be maintained temporarily, but unnoticed delays add up to serious problems causing production line halts
Solution Approach 1:
The system performs preliminary detection of synchronization issues by continuously analyzing event logs for timing patterns and delays. By detecting synchronization problems early through automated alarm indicators, the system can alert operators before accumulated delays cause production line halts, maintaining both productivity and synchronization reliability
Data Source
AI summary
A data processing device capable of performing problem diagnosis in a production system with a plurality of robots includes: a first time series obtaining part for obtaining historical event data used for determining some historical alarm indicator in time series and storing the historical event data as first time series data; a historic alarm indicator calculation part for calculating a series of historic alarm indicators using statistic characteristics of the first time series data; a threshold definition part for defining at least one threshold value based on a statistical distribution of the historical alarm indicators; a second time series obtaining part for obtaining operational event data during operation of the robots used for determining some operational alarm indicator in time series and storing the operational event data as second time series data; and an operational alarm indicator calculation part for calculating a series of operational alarm indicators.