Excavator Upper-Body Rotation Detection With Dead-Zone Correction
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Solution Overview
Problem
Existing excavators face issues with inaccurate rotation detection of the upper body due to dead zones, leading to increased errors and reduced efficiency, and the use of multiple sensors to cover these zones increases cost and part volume.
Innovation Solution
An excavator system that includes a sensor device and processor to detect dead zones and correct sensing information, using previous sampling period data to improve rotation detection accuracy by replacing abnormal values with corrected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor is used to detect upper body rotation, then device complexity is reduced, but measurement precision deteriorates due to dead zone errors
Solution Approach 1:
The patent changes the parameter of sensor output interpretation by detecting abnormal values (e.g., maximum or minimum threshold values) that indicate dead zone occurrence. When such abnormal parameters are detected, the system switches to using previous sampling data, thereby adapting the measurement approach based on the detected parameter state to maintain accuracy without adding sensors.
2Measurement precision
If multiple sensors are provided to cover dead zones, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The single sensor serves multiple functions: it detects normal rotation values and also detects abnormal values that indicate dead zone occurrence. By monitoring its own output for abnormal patterns, the sensor effectively performs self-diagnosis, allowing the system to compensate for dead zones without requiring additional sensors to cover those zones.
Solution Approach 2:
The system implements feedback by continuously monitoring the sensor output and using the detected abnormal values as feedback signals to trigger corrective action. When a dead zone is detected through abnormal sensor readings, the system feeds back by switching to previous sampling data, creating a closed-loop correction mechanism that maintains measurement accuracy without additional hardware.
3Loss of time
If sensor data is used directly without correction, then processing time is reduced, but measurement precision deteriorates due to dead zone errors
Solution Approach 1:
The system applies partial correction by selectively processing sensor data based on quality assessment. Instead of always correcting or always using raw data, it performs correction only when abnormal values indicate dead zone occurrence. This partial action approach maintains processing efficiency while improving accuracy for problematic measurements.
Data Source
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AI summary
Embodiments of the present disclosure relate to an excavator for detecting the rotation of an upper body and an operation method thereof. According to an embodiment, the excavator comprises: a lower body; an upper body rotatably mounted on the lower body; a sensor device configured to collect sensing information related to a rotation of the upper body relative to the lower body; and a processor electrically connected to the sensor device, wherein the processor is configured to detect occurrence of a dead zone based on the sensing information collected by the sensor device, correct the sensing information in response to detection of the dead zone occurrence, and calculate a rotation angle of the upper body based on the corrected sensing information.