Load Estimation Apparatus Using Body-Mounted Sensors
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Solution Overview
Problem
Existing load estimation methods for workers in manufacturing and distribution sites fail to accurately reflect the worker's actual load due to neglecting the worker's motion and individual differences in motion patterns, leading to deviations between estimated and actual loads.
Innovation Solution
A load estimation apparatus that uses multiple sensors attached to various body parts of a worker to acquire sensor data, which is then processed to calculate posture loads based on posture angles and displayed in a time-series graph, allowing for clustering and feature extraction to provide comprehensive load information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a work table-based load estimation method is used, then the estimation process is simple, but the estimated load deviates from the actual load because worker motion is not reflected
Solution Approach 1:
The patent replaces the mechanical/work table-based estimation system with a sensor-based measurement system. Motion sensors are attached to the worker's body to directly measure posture angles and motion patterns, substituting the indirect work table methodology with direct physical measurement, thereby improving accuracy while maintaining manageable complexity
Solution Approach 2:
The patent introduces posture angle data and motion pattern analysis as intermediary elements between the worker and the load estimation. These intermediaries capture the actual motion characteristics and translate them into load metrics, bridging the gap between simple measurement and accurate estimation
2Measurement precision
If a motion sensor-based load estimation method is used, then the load can be estimated from sensor data, but it is difficult to grasp in which work state the warning is issued and individual motion differences cannot be considered
Solution Approach 1:
The patent segments the load estimation into multiple components: posture load (based on posture angles), motion pattern analysis, and work state classification. By dividing the estimation process into these segments, the system can provide detailed context about which work state triggered a warning while maintaining overall load accuracy
Solution Approach 2:
The patent adds temporal and contextual dimensions to the load estimation by analyzing motion patterns over time and classifying work states. This multi-dimensional approach preserves rich information about when and why warnings are issued, rather than providing only a scalar load value
Data Source
AI summary
According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, calculates one or more posture loads relating to one or more body parts of the measurement target based on the sensor data, and displays display data including a posture load graph in which the one or more posture loads are illustrated in time series.


