Predictive Drive Track Control for Agricultural Vehicles
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Solution Overview
Problem
Current real-time control methods for agricultural vehicles and machines are limited in their ability to anticipate and prepare for future conditions, such as terrain changes and machine availability, leading to inefficiencies and potential operational hazards like getting stuck in muddy ground.
Innovation Solution
A predictive method that generates data for controlling drive tracks and operating sequences by creating a three-dimensional geo-referenced terrain model incorporating current and forecasted conditions, vehicle, and machine data, allowing for optimized route planning and machine operation before actual use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time control methods are used to monitor and adjust vehicle operations, then operational safety and ground processing quality are improved, but the ability to anticipate and prepare for future conditions is limited
Solution Approach 1:
The system performs preliminary actions by predicting future terrain conditions and machine availability in advance, then pre-planning drive tracks and operating sequences. This allows the vehicle to prepare for upcoming conditions before they occur, rather than merely reacting in real-time, thus resolving the contradiction between operational safety and response time to future conditions.
2Stability of the object's composition
If real-time control adjusts drive track based on current terrain conditions, then vehicle stability and processing quality are maintained, but proactive avoidance of hazardous situations is not possible
Solution Approach 1:
The system predicts future terrain conditions and pre-calculates optimized drive tracks that avoid hazardous situations before the vehicle encounters them. This preliminary planning maintains vehicle stability while simultaneously providing proactive adaptability to future conditions by preparing alternative routes in advance.
Solution Approach 2:
The system continuously monitors current terrain conditions and compares them with predicted future conditions, using this feedback loop to adjust and refine drive track planning. This ensures vehicle stability is maintained while enabling proactive adaptability through continuous prediction and adjustment.
3Ease of operation
If control decisions are made in real-time based on current conditions, then operational flexibility is maintained, but efficiency in long-term processing is reduced
Solution Approach 1:
The system performs preliminary prediction of future terrain conditions and pre-planning of drive tracks and operating sequences for the entire agricultural surface. This long-term predictive planning improves productivity by avoiding repeated real-time adjustments, while operational flexibility is maintained through the ability to re-plan based on updated predictions or actual conditions.
4Device complexity
If the vehicle pool is planned based on current conditions only, then resource allocation is simple, but future machine availability and terrain changes cannot be accounted for
Solution Approach 1:
The system performs preliminary prediction of future terrain conditions and machine availability, then uses this predicted information to optimize vehicle and machine allocation in advance. This predictive resource allocation accounts for future conditions while maintaining manageable system complexity through automated prediction algorithms and centralized planning.
Data Source
AI summary
The invention relates to a method for predictively generating data for controlling a drive track and an operating sequence of an agricultural vehicle and of an agricultural machine, the method comprising the steps automatically detecting and storing vehicle and/or machine data through a sensor arrangement that is arranged at individual vehicles or individual machines for generating a vehicle and machine model; collecting and storing data regarding a three dimensional terrain topography and/or data regarding current and/or forecasted terrain properties and/or a weather condition for generating a predictive three dimensional geo referenced terrain model; optimizing imaging of the vehicle and machine model into the three dimensional predictive terrain model and computing drive track control data for defining a drive track and/or machine control data for controlling machine components; putting out and transmitting the drive track control data and/or the machine control data to a control unit of the agricultural vehicle and/or agricultural machine.