Work Machine Maintenance Prediction Using Geological Site Data
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Solution Overview
Problem
Conventional shovel support devices struggle to accurately predict maintenance timing for work machines operating at sites where they have not performed operations before, as they cannot account for the load applied to the shovel.
Innovation Solution
A work machine management system that includes an input/output unit to receive positional and operation information from work machines and a processing unit to predict maintenance timing based on geological information from a geographical information system server, allowing for accurate maintenance timing prediction even at unoperated sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional shovel support devices use only past operation data to predict maintenance timing, then the system is simple to operate, but the prediction accuracy deteriorates when the shovel operates at new sites
Solution Approach 1:
The patent combines multiple data sources (past operation data, geological information from external systems, and real-time operation data) into a unified prediction model. This merging of data sources enables accurate maintenance timing prediction at new sites by supplementing limited past operation data with geological characteristics that correlate with equipment wear and failure patterns.
Solution Approach 2:
The system performs preliminary acquisition and analysis of geological information before the shovel actually operates at a new site. By obtaining geological characteristics in advance and incorporating them into the prediction model beforehand, the system can accurately predict maintenance timing from the start of operations at new locations without requiring extensive past operation data accumulation.
2Measurement precision
If the system collects and processes multiple data sources including geological information, then the prediction accuracy improves, but the information processing complexity increases
Solution Approach 1:
The patent introduces an information processing unit that acts as an intermediary between multiple data sources (operation data, geological information) and the prediction model. This intermediary unit standardizes, integrates, and processes diverse data formats into a unified structure that the prediction model can efficiently utilize, reducing the overall system complexity despite handling multiple data sources.
Solution Approach 2:
The system employs a universal information processing unit that handles multiple types of data (operation data, geological information, environmental data) through standardized procedures. This multi-functional processing unit can adapt to different data sources and formats, simplifying the overall data processing architecture while maintaining high prediction accuracy across diverse operating conditions.
Data Source
AI summary
The present disclosure provides a work machine management system that can predict the maintenance timing of a work machine with higher accuracy than conventional techniques. A work machine management system 100 of the present disclosure includes an input/output unit 121 and a processing unit 122. The input/output unit 121 receives from work machines 200 positional information PI and operation information OI on the work machines 200, and also receives from a geographical information system server 300 geological information GI on an area where the work machines 200 are to perform an operation, based on the positional information PI. The processing unit 122 predicts the maintenance timing of each work machine 200 based on the operation information OI and the geological information GI. In response to a request from an external portable terminal 130, the input/output unit 121 outputs to the portable terminal 130 data on an alert based on the maintenance timing of the work machine 200 predicted by the processing unit 122.