Work Machine Controller Trigger-Based Data Storage Optimization
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Solution Overview
Problem
Work machines face limitations in storage capacity for operation information, necessitating effective utilization of hardware resources to collect and store data efficiently.
Innovation Solution
A work machine with a controller and storage unit that collects and stores information based on trigger events, with adjustable parameters such as data quantity before and after the trigger, and time intervals, allowing for flexible data management and storage optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the storage unit stores more work machine information, then the data density increases, but the storage capacity is limited
Solution Approach 1:
The patent applies dynamics by making the data collection parameters changeable from the outside. The definition information including time interval, number of data points, and data types can be dynamically adjusted based on storage capacity availability and monitoring needs, allowing the system to adapt between storing more data with lower frequency or fewer data points with higher frequency
Solution Approach 2:
The patent implements parameter changes by allowing external modification of definition information that controls data collection parameters. The time interval, number of data points before/after triggers, and types of work machine information can be changed to optimize the balance between data quantity and storage capacity utilization
2Measurement precision
If the time interval for data collection is reduced, then the data density increases, but the storage capacity is consumed faster
Solution Approach 1:
The time interval parameter is made dynamically adjustable from the outside. When high data density is needed, the time interval can be reduced; when storage capacity is constrained, the time interval can be increased. This dynamic adjustment allows flexible optimization between measurement precision and storage capacity consumption
Solution Approach 2:
The patent changes the time interval parameter externally to control data collection frequency. By modifying this parameter, the system can adjust data density while managing storage capacity consumption, allowing the same hardware to operate under different monitoring intensities
3Reliability
If the number of data points before and after trigger is increased, then the diagnostic information quality improves, but the storage capacity is used more
Solution Approach 1:
The number of data points before and after trigger events is made externally adjustable. This allows the system to dynamically balance diagnostic information quality against storage capacity usage by increasing or decreasing the buffer size around trigger events based on available storage and monitoring requirements
Solution Approach 2:
The patent enables external modification of the data point count parameter that defines how many data points are collected before and after trigger events. This parameter change allows optimization of diagnostic quality while managing storage capacity consumption
Data Source
AI summary
A work machine includes a controller having a first storage unit that can store work machine information and rewrite the stored work machine information, and a processing unit that collects the work machine information, and stores at least one kind of the work machine information in the first storage unit when trigger information for causing the first storage unit to start storing the work machine information occurs. The controller can change from an outside at least one of the number of data prior to a trigger of the work machine information collected by the processing unit before the trigger information, the number of data subsequent to the trigger of the work machine information collected by the processing unit after the trigger information, and a time interval during which the work machine information is collected.