Excavator Stability Logging for Slippage and Floating Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing shovel technologies face challenges in stabilizing operations, particularly in preventing slippage, floating, and oscillation, which can lead to unstable states due to environmental and operational factors, necessitating a system to monitor and manage stability effectively.
Innovation Solution
A shovel state log management system that includes a processor to detect stability deviations, retrieve and store log information on the shovel's state and environment, and transmit this data for analysis, enabling operators to identify and mitigate unstable conditions through stabilization control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If stabilization control is implemented to suppress slippage and floating, then operational stability is improved, but device complexity increases due to additional sensors and control systems
Solution Approach 1:
The system performs preliminary detection of unstable states using sensors (acceleration sensors, tilt sensors, etc.) before actual slippage or floating occurs. The control device proactively adjusts hydraulic actuators based on predicted instability, preventing the harmful effect rather than reacting after it occurs. This is evidenced by the detection unit identifying unstable states and the control device adjusting attachment positions in advance.
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor shovel stability parameters (acceleration, tilt angle, hydraulic pressure), the control device processes this information to detect unstable states, and hydraulic actuators adjust in real-time to maintain stability. The log information storage and transmission provide additional feedback for analysis and improvement of stabilization control strategies.
2Measurement precision
If log information storage and transmission are implemented to monitor stability, then measurement precision is improved, but loss of energy increases due to data processing and communication
Solution Approach 1:
The system extracts and stores only critical log information related to unstable states and stability parameters, rather than continuously monitoring and transmitting all operational data. The control device identifies and logs specific events (unstable state occurrences, sensor readings during instability), reducing overall data volume and associated energy consumption while maintaining measurement precision for stability analysis.
Solution Approach 2:
The system implements partial monitoring by focusing resources on detecting and logging instability events rather than continuous full-system monitoring. Log information is generated selectively during unstable states or at intervals, providing sufficient precision for stability analysis while minimizing energy consumption compared to continuous high-frequency monitoring of all parameters.
Data Source
AI summary
A shovel includes a lower traveling body; an upper turning body pivotably attached to the lower traveling body; an attachment attached to the upper turning body; and a processor that stores in a memory, or transmits to an external device, log information including information on the shovel and information on a peripheral environment of the shovel upon detecting that a degree of stability on a motion of the shovel becomes less than a predetermined reference level, or upon detecting an indication that the degree of stability on the motion of the shovel becomes lower than the predetermined reference level.