Earthmoving Tool Control Modes for Load-Adaptive Movement Safety
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Solution Overview
Problem
Current earthmoving machine control systems lack advanced features for optimizing movements based on performance parameters like time, energy consumption, and smoothness, and do not effectively adapt to varying load conditions or operator skill levels, leading to inefficient operations and potential safety issues.
Innovation Solution
An operating mode-based control system with multiple controllers and a control unit that monitors and optimizes movements by selecting from various operating modes, adjusting based on performance thresholds, load conditions, and operator skill levels, and provides feedback through multiple sensory means to ensure efficient and safe operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional control systems are used for earthmoving machines, then the system complexity is low, but the productivity and efficiency are insufficient due to lack of optimization capabilities
Solution Approach 1:
The control system is segmented into multiple independent controllers (first controller, second controller, third controller) each handling specific functions. The first controller manages basic operations, the second handles optimization algorithms, and the third manages safety monitoring. This segmentation allows the system to achieve high productivity through specialized optimization while maintaining manageable complexity by distributing control functions across separate modules.
Solution Approach 2:
The control system dynamically adjusts operating parameters based on real-time monitoring of performance metrics. The system continuously optimizes movement paths, speed profiles, and resource allocation by processing sensor data and applying optimization algorithms. This dynamic adaptation enables the system to improve productivity in response to changing conditions without requiring permanent structural complexity.
2Adaptability or versatility
If basic control functions are provided, then the ease of operation is maintained, but the adaptability to different load conditions and operator skill levels is insufficient
Solution Approach 1:
The control system automatically adapts to different load conditions and operator skill levels without requiring manual reconfiguration. Sensors continuously monitor load parameters, and the optimization algorithms automatically adjust control strategies. The system self-calibrates based on performance feedback and operational patterns, eliminating the need for operators to manually adapt settings while maintaining ease of operation.
Solution Approach 2:
The system changes operational parameters dynamically based on detected load conditions and operator behavior patterns. When heavy loads are detected, the controller automatically adjusts speed profiles, acceleration rates, and force distribution. Similarly, the system adapts interface complexity and control responsiveness based on operator skill level, providing simplified interfaces for novice operators while offering advanced controls for experienced users.
3Reliability
If manual control methods are used, then the device complexity is low, but the safety and precision of movements are insufficient
Solution Approach 1:
The control system implements continuous feedback loops where sensors monitor movement parameters, load conditions, and system state in real-time. This feedback is processed by the optimization controller which adjusts control commands to maintain safe and precise operation. The third controller specifically monitors safety-critical parameters and can interrupt operations when thresholds are exceeded, providing automated safety without requiring complex mechanical safety systems.
Solution Approach 2:
The system performs preliminary safety checks and optimization calculations before executing movements. The control unit pre-processes movement paths, identifies potential collision risks, and calculates optimal trajectories that satisfy safety constraints. This preliminary action prevents unsafe operations before they occur, improving reliability without requiring complex real-time intervention systems.
4Productivity
If optimization algorithms are implemented, then the productivity is improved, but the use of energy for computation increases
Solution Approach 1:
The optimization algorithms apply partial optimization to specific critical parameters rather than optimizing all system variables simultaneously. The controller focuses computational resources on optimizing movement paths, timing, and resource allocation for high-impact operations while using simpler control strategies for less critical functions. This selective optimization improves productivity through targeted improvements while minimizing unnecessary computational energy consumption.
Data Source
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AI summary
An operating mode based control system (CS) for controlling an earthmoving machine (E). The control system comprises at least one controller (CO) for controlling at least one movement of an earthmoving tool (3) attached to the earthmoving machine, at least one control unit (CU), and at least one displaying means for displaying operating modes selectable by the at least one controller. The at least one control unit is configured to receive at least one selection from the at least one controller for selecting the operating mode, monitor the at least one movement of the earthmoving machine, and based at least in part on the monitoring carry out the at least one movement of the earthmoving tool, or interrupt by the at least one control unit the at least one movement of the earthmoving tool. Additionally an earthmoving machine and a method for controlling an earthmoving machine.