Driving Data Analysis by Operation State Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing operation condition analysis systems fail to accurately evaluate apparatus conditions due to simplistic time-based indexing, which does not account for changes in operation states such as load or fuel type, leading to incomplete assessments.
Innovation Solution
An operation information analyzer that collects event information, organizes it into index values based on changes in operation states, and presents these values to users, allowing for more nuanced evaluations by sectioning data by changes in operation load or fuel type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If index values are calculated by simple time-based sectioning (e.g., daily intervals), then the analysis system is simple to operate, but the evaluation accuracy of apparatus operation conditions deteriorates when operation states change
Solution Approach 1:
The patent segments the time period into multiple sub-periods based on operation state changes. Instead of using a single time-based index (e.g., daily), the system divides the period into segments where each segment corresponds to a specific operation state (e.g., different load conditions, different fuel types). This allows accurate evaluation within each operation state while maintaining system simplicity.
Solution Approach 2:
The patent makes the index calculation dynamic by adapting the segmentation based on actual operation state changes. The system automatically adjusts the period division according to when operation states change (e.g., load changes, fuel type changes), rather than using fixed time intervals. This dynamic adaptation improves measurement precision without complicating the operation.
2Ease of manufacture
If index values are calculated for fixed time periods, then data collection is straightforward, but the ability to accurately reflect operation conditions during state changes deteriorates
Solution Approach 1:
The patent segments the data collection period based on operation state changes rather than fixed time intervals. Each segment collects data specific to an operation state, ensuring that the collected data accurately reflects the conditions during that state. This maintains straightforward data collection processes while improving reliability.
Solution Approach 2:
The patent changes the parameter used for data collection from fixed time intervals to operation state-based intervals. The system monitors operation state parameters (e.g., load, fuel type) and uses these changes to determine when to segment data collection, thereby improving the accuracy and reliability of operation condition evaluation.
3Productivity
If comparative analysis is performed using simple time-based index values, then the analysis process is quick and simple, but the detection of operational inefficiencies becomes inaccurate
Solution Approach 1:
The patent segments the comparative analysis by operation state rather than by fixed time periods. This allows the system to quickly compare like-with-like (same operation states) while maintaining analytical speed. The segmentation is based on operation state changes, enabling accurate inefficiency detection without sacrificing productivity.
Solution Approach 2:
The patent implements dynamic period division that adapts to operation state changes, allowing the analysis to quickly respond to state transitions. The system automatically adjusts the analysis periods based on when operation states change, maintaining fast analysis speed while improving the accuracy of inefficiency detection through state-appropriate comparisons.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present invention comprises: an information collection unit (11) that collects event information generated during the driving of a device (20) that includes a plurality of instruments (21); an information analysis unit (12) that organizes the collected event information to generate and accumulate indicator values used in evaluating the driving situation of the device (20); and an information presentation unit (13) that presents, to a user, the indicator values accumulated by the information analysis unit (12). The information analysis unit (12) generates the indicator values for each period delimited on the basis of changes in the driving state of the device.