Work Machine Controller Data Storage Segmentation
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Solution Overview
Problem
The limited storage capacity of storage units in work machines necessitates an effective means to utilize hardware resources for collecting and storing operation information, as existing methods do not efficiently manage the storage of data related to work machine abnormalities.
Innovation Solution
A work machine system comprising a controller with a storage unit and processing unit that collects and stores work machine information, utilizing definition information to generate time-series data and trigger time data, allowing for efficient storage and retrieval of data by selecting relevant information types and quantities based on predefined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all work machine information is stored in the storage unit, then complete data availability is improved, but storage capacity is exceeded
Solution Approach 1:
The patent segments work machine information into two categories: time-series data (stored continuously) and trigger time data (stored only when trigger information occurs). This segmentation allows the storage unit to prioritize essential operational data while reducing overall storage requirements, resolving the contradiction between complete data availability and limited storage capacity.
Solution Approach 2:
The patent extracts trigger time data from the complete set of work machine information and stores it separately in the storage unit. By taking out only the most critical data points associated with trigger events, the system maintains data availability for analysis while significantly reducing the storage burden compared to storing all information continuously.
2Measurement precision
If time-series data with multiple data points is stored for each work machine information type, then data analysis precision is improved, but storage capacity is consumed faster
Solution Approach 1:
The patent applies local quality by storing multiple time-series data points for work machine information types that require detailed temporal analysis, while storing only single trigger time data points for other types. This selective approach ensures data analysis precision is maintained where needed while optimizing storage capacity utilization across different data types.
3Adaptability or versatility
If definition information is made rewriteable by external units, then system adaptability is improved, but security and data integrity risks increase
Solution Approach 1:
The patent implements dynamics by making definition information rewriteable by external units, allowing the system to adapt to different work machines and operational requirements. The processing unit dynamically adjusts data collection and storage behavior based on the current definition information, achieving versatility while maintaining controlled access through the processing unit's mediation.
Data Source
AI summary
The work machine includes a controller including a first storage unit capable of storing work machine information and capable of rewriting the stored work machine information, and a processing unit configured to collect the work machine information, and when trigger information for causing the first storage unit to start storing the work machine information occurs, the processing unit causes at least a portion of the collected work machine information to be stored to the first storage unit. The first storage unit stores header information. At a time when the trigger information occurs, the processing unit generates the work machine data from the collected work machine information in accordance with the header information and stores the work machine data to the first storage unit.