Oil Property Diagnostic System for Work Machines
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Solution Overview
Problem
Current methods for diagnosing oil properties in work machines require frequent manual oil extraction, leading to decreased work efficiency and potential damage due to prolonged oil degradation, as they rely on periodic human intervention and may not detect abnormalities in time, resulting in costly repairs and downtime.
Innovation Solution
A diagnostic system that uses sensors to monitor oil properties and determine the necessity for detailed analysis, allowing for timely oil extraction and replacement, thereby preventing breakdowns and optimizing maintenance schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual oil extraction and analysis is performed periodically, then oil degradation can be detected, but work efficiency decreases due to frequent maintenance interruptions
Solution Approach 1:
The work machine performs self-diagnosis of oil degradation using integrated sensors that continuously monitor oil properties (viscosity, temperature, contamination) without requiring external intervention. The control unit automatically analyzes sensor data and determines when oil extraction is necessary, enabling the system to monitor its own health status and reducing the need for periodic manual checks.
Solution Approach 2:
Manual mechanical oil extraction and laboratory analysis is replaced by electronic sensors and a control unit that automatically monitor oil conditions. Sensors detect oil properties such as viscosity, temperature, and contamination levels, and the control unit processes this data to determine degradation status, substituting human-operated mechanical procedures with automated electronic monitoring.
2Productivity
If oil extraction is delayed to maintain work efficiency, then downtime is reduced, but oil degradation progresses and causes breakdowns
Solution Approach 1:
The system continuously monitors oil properties using sensors and feeds this information to the control unit, which compares current readings against threshold values. When degradation indicators exceed thresholds, the system provides feedback alerts to operators, enabling timely oil extraction before catastrophic failure occurs. This closed-loop feedback mechanism ensures oil is changed based on actual condition rather than fixed schedules.
Solution Approach 2:
The sensors detect early signs of oil degradation (changes in viscosity, temperature, contamination) before they lead to catastrophic breakdown. By identifying degradation trends in advance, the system allows operators to perform maintenance at optimal times, preventing breakdowns while minimizing interruptions to work operations.
3Measurement precision
If sensors are added to monitor oil properties, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it processes sensor data from various oil property sensors, stores threshold values, performs comparisons, generates alerts, and controls the overall diagnostic process. By consolidating these functions into a single multi-functional control unit, the system achieves accurate multi-parameter oil monitoring without proportionally increasing complexity.
Solution Approach 2:
The patent combines multiple sensor types (viscosity sensors, temperature sensors, contamination sensors) into a single integrated monitoring system that feeds data to one control unit. This merging of sensing and control functions into a unified system reduces the overall complexity compared to having separate independent monitoring systems for each oil property.
Data Source
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AI summary
A diagnostic system for a work machine includes a data storage device (210) in which sensor information (A) input from a sensor (101A) that senses an oil property of oil used for operation of the work machine and an abnormality degree determination value defined for each kind of the sensor information (A) are stored, and an arithmetic processing device (104) that executes first processing of discriminating the degree of abnormality level of the oil based on the sensor information (A) and the abnormality degree determination value, second processing of determining whether or not necessity to carry out oil analysis involving oil extraction exists based on the degree of abnormality level of the oil discriminated in the first processing, and third processing of outputting information indicating that the oil analysis is necessary to other terminal if it is determined that the oil analysis is necessary in the second processing.