Axle Load Control for Agricultural Machines
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Solution Overview
Problem
Agricultural work systems face inefficiencies and increased wear due to dynamically changing axle loads during operations, which can lead to higher fuel consumption, area-specific costs, and operational safety issues, as existing methods fail to account for real-time changes in axle load distribution and operating parameters.
Innovation Solution
A method and system that utilize a driver assistance system with sensors and computing units to continuously monitor and adjust axle loads on agricultural production machines, incorporating attachment configurations and operating parameters in real-time, providing operators with dynamic information and enabling automatic adjustments to optimize fuel consumption, output, and machine wear.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If axle load distribution is determined before starting the agricultural work process, then ballasting can be set based on initial conditions, but the system cannot respond to dynamically changing axle loads during operation
Solution Approach 1:
The patent implements dynamic monitoring of axle loads during the agricultural work process using sensors and a computing unit. The system continuously measures actual axle loads and compares them with target values, automatically adjusting ballasting positions to maintain optimal load distribution throughout the operation, transforming a static pre-determination approach into a dynamic real-time control system.
Solution Approach 2:
The system employs feedback control by continuously measuring actual axle loads via sensors, comparing these measurements with target axle load values stored in the computing unit, and automatically adjusting the ballasting configuration based on the difference. This closed-loop feedback mechanism enables the system to adapt to changing operating conditions and maintain optimal performance throughout the work process.
2Ease of operation
If static ballasting is used based on initial axle load determination, then the system is simple to operate, but fuel consumption and machine wear increase due to suboptimal axle load distribution during operation
Solution Approach 1:
The system performs self-adjustment of ballasting positions based on automatically measured axle loads and pre-stored target values. The computing unit controls the adjustment mechanism without requiring manual intervention from the operator, enabling the system to automatically optimize its own performance regarding fuel consumption and machine wear while maintaining ease of operation.
3Loss of energy
If real-time monitoring of axle loads is implemented, then optimal fuel consumption and reduced machine wear can be achieved, but the device complexity increases due to additional sensors and control systems
Solution Approach 1:
The computing unit serves multiple functions: it stores target axle load values, receives sensor signals, processes measurements, compares actual loads with target values, and controls the ballasting adjustment mechanism. By consolidating these functions into a single multi-functional control unit, the system achieves real-time monitoring and optimization while minimizing the overall complexity that would result from separate dedicated components for each function.
Data Source
AI summary
An agricultural work system and a method for operating an agricultural work system are disclosed. The agricultural work system performs an agricultural work process and includes an agricultural production machine having at least two axles with at least one device interface and an attachment, which is connected via the device interface to the agricultural production machine. An axle load on at least one axle is determined using a sensor assembly, with the axle loads occurring or happening on axles of the agricultural production machine. An axle load ratio based thereon is cyclically determined using the computer unit of the driver assistance system of the agricultural production machine, coupled in time to the execution of the work process, with the driver assistance system taking into account the agricultural production machine and attachment configuration and operating parameters.