Driving Unit Monitoring via Current Baseline Comparison
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Solution Overview
Problem
Conventional methods for monitoring driving units in car body assembly lines are costly and inefficient, with high accuracy requiring expensive equipment and skilled engineers, making real-time monitoring and predictive maintenance challenging, especially in large plants where downtime due to equipment failures results in significant losses.
Innovation Solution
A method and device for monitoring driving units that store initial and observation data on current values, comparing them to threshold levels to provide real-time state monitoring information, allowing for remote diagnosis of abnormalities and reducing maintenance costs by using a system that can process data from multiple units efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vibration analysis is used to monitor driving units, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts only the essential monitoring function from complex vibration analysis systems. Instead of using full FFT vibration analysis equipment, it extracts the core capability of detecting abnormal fluctuations by comparing current values against baseline data, achieving sufficient measurement precision with a simplified system.
Solution Approach 2:
The patent creates a virtual model of normal operating conditions by storing baseline current data during normal operation. This copied baseline data serves as a reference model to compare against real-time current values, enabling defect detection without requiring complex physical analysis equipment.
2Measurement precision
If vibration analysis equipment is deployed across hundreds of driving units, then measurement precision is improved, but loss of substance increases due to enormous cost
Solution Approach 1:
The patent replaces expensive, long-term investment in vibration analysis equipment with a low-cost data processing approach. By using standard data collection and comparison methods, it achieves monitoring capability at a fraction of the cost, making the system economically viable for deploying across hundreds of driving units.
Solution Approach 2:
The patent creates a universal monitoring system that can be applied to all driving units across the entire car body assembly line. The same baseline data collection and comparison methodology works for every driving unit, eliminating the need for specialized expensive equipment at each location and enabling cost-effective plant-wide deployment.
3Measurement precision
If professional engineers are deployed for vibration analysis, then measurement precision is improved, but loss of time increases due to labor cost and response time
Solution Approach 1:
The patent enables the monitoring system to self-diagnose abnormalities by automatically comparing real-time current data against stored baseline data. The system autonomously identifies deviations and generates alerts without requiring professional engineers to manually analyze data, achieving both high precision and rapid response simultaneously.
Solution Approach 2:
The patent implements continuous feedback by constantly comparing real-time current values against baseline data and immediately detecting deviations. This real-time feedback loop enables rapid identification of abnormalities and triggers immediate alerts, eliminating the time delay associated with manual engineer analysis while maintaining high detection accuracy.
4Reliability
If conventional diagnosis techniques are used, then reliability is improved through defect detection, but productivity decreases due to high cost and complexity
Solution Approach 1:
The patent performs preliminary action by collecting and storing baseline data during normal operation before any abnormality occurs. This pre-established reference data enables rapid comparison and detection when abnormalities occur, maintaining high reliability while improving productivity through faster response times and reduced analysis complexity.
Data Source
AI summary
A method for monitoring a driving unit of a car body assembly line, and a device therefor. The method includes: storing, for each driving unit, as initial data of the driving unit, information on time length, a peak current, an average current of a constant-speed section, and a current integral area in each sub section on the basis of a time-based current value measured in a normal state of the driving unit; storing, as observation data for each monitoring factor, information on the time length, the peak current, the average current of the constant-speed section, and the current integral area in each sub section, for each operating section observed during an operation of the driving unit; and individually comparing each piece of the information with a threshold level of the initial data, and providing state monitoring information of the driving unit, for each monitoring factor.