Work Machine Management Device Operating Level Classification
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Solution Overview
Problem
Existing work machine management systems are unable to prevent failures from occurring before they happen, as they rely on alarm signals for failure handling.
Innovation Solution
A work machine management device that classifies the operating state of machines into four levels, allowing for proactive notification and preparation of operators to address potential issues before they become critical, using a system that includes sensors, a base station, and management terminals to transmit and display data, enabling preparatory operations and countermeasures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alarm signals are used for failure handling, then failure information can be transmitted, but failures cannot be prevented before they occur
Solution Approach 1:
The system performs preliminary classification of operating states into four levels (normal, attention needed, abnormal, failure) before actual failures occur. By analyzing sensor data and classifying the operating state in advance, the system enables operators to take preventive actions at attention-needed and abnormal levels, preventing progression to failure level.
Solution Approach 2:
The system continuously monitors operating parameters, classifies the current operating state, and provides feedback to operators through the display device. This closed-loop feedback mechanism allows operators to adjust operations based on real-time state classification, enabling preventive maintenance before failures occur.
2Reliability
If detailed operating state monitoring is implemented, then early failure detection is possible, but system complexity increases
Solution Approach 1:
The operating state monitoring is segmented into four distinct levels (normal, attention needed, abnormal, failure), each with specific characteristics and required responses. This segmentation simplifies the complex task of failure prediction by dividing it into manageable stages with clear thresholds and action requirements.
Solution Approach 2:
The system uses parameter changes in sensor readings to determine operating state classification. By monitoring changes in operating parameters and comparing them against predefined thresholds for each level, the system achieves reliable failure detection without requiring complex analysis algorithms.
Data Source
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AI summary
A work machine management device includes: a receiving unit that receives, from a work machine, sensor data indicating states of various sections of the work machine, and alarm data indicating that the work machine has determined that an abnormality has occurred in the work machine; and an operating level classifying unit that, based on the sensor data received by the receiving unit, classifies an operating state of the work machine as being any one of a plurality of predetermined operating levels.