Work Analysis Device for Hydraulic Excavator Operator Skill Evaluation
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Solution Overview
Problem
Current work analysis technologies lack the capability to comprehensively recognize and evaluate the skill of operators by outputting information that facilitates a comprehensive understanding of the work performed by work machines, such as hydraulic excavators, in a time-series format.
Innovation Solution
A work analysis device that acquires state data from work machines, specifies the classification of work based on this data, and outputs a time series of classifications, utilizing a prediction model learned from sensor measurements and labeled data to generate heat maps and breakdown graphs for comprehensive analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If work analysis device collects and processes state data to specify work classification, then comprehensive recognition of work estimation result is improved, but device complexity increases
Solution Approach 1:
The work classification is divided into multiple hierarchical levels including unit work, element work, and skill work. The system processes state data through multiple specification units that independently analyze different work classification levels, then integrates the results. This segmentation allows comprehensive work analysis while managing system complexity through modular processing.
Solution Approach 2:
The system adds temporal dimension by collecting state data at multiple time points and specifying work classification for each time point. It also adds hierarchical dimension by organizing work into multiple classification levels. This dimensional expansion enables comprehensive recognition of work estimation results without overwhelming complexity in a single processing stage.
2Loss of information
If work classification is specified for multiple time points and collected in chronological order, then comprehensive understanding of work is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by collecting state data at multiple time points in advance and pre-processing the data structure before final analysis. The work specification unit operates on pre-organized time-series data, which reduces processing time during the actual work classification specification phase while maintaining comprehensive temporal understanding.
Solution Approach 2:
The work specification unit continuously specifies work classification for each time point in a sequential manner, maintaining chronological order without interruption. This continuous processing approach ensures comprehensive temporal coverage while optimizing processing efficiency through steady, uninterrupted analysis of each time point.
3Measurement precision
If state data is collected at multiple times to analyze work variations, then measurement precision of work classification is improved, but quantity of data increases
Solution Approach 1:
The system extracts only the necessary state data parameters relevant to work classification from the complete set of available sensor data. By selectively extracting and processing only the essential parameters needed for work specification, the system achieves high measurement precision while minimizing the quantity of data that needs to be stored and processed.
Solution Approach 2:
The system changes the parameter representation by transforming raw sensor data into standardized work classification categories. This parameter transformation consolidates multiple data points into meaningful classification labels, reducing the effective quantity of data while maintaining or improving measurement precision through the semantic information contained in the classifications.
Data Source
AI summary
A work analysis device includes a state data acquisition unit state, a work specification unit, and an output unit. The data acquisition unit acquires state data indicating a state of a work machine. The work specification unit specifies, based on the acquired state data, a classification of work of the work machine for each of the multiple times, and collects the classification of work in a chronological order. The output unit outputs a time series of the specified classification of work.