Automatic soil preparation equipment
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Solution Overview
Problem
Existing automatically moving soil cultivation devices require significant computing capacity to achieve self-learning and avoid no-go areas, often necessitating manual input and repeated analysis of parameters to prevent error situations.
Innovation Solution
An evaluation device compares behavior parameters with defined reference parameters to automatically define and change no-go areas within the environment map, reducing the need for manual intervention and continuous parameter analysis by using parameters like speed, drift, stay duration, turning maneuvers, and power consumption to identify and prevent error-prone areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the evaluation device constantly evaluates a large number of currently and previously detected parameters to achieve self-learning, then the self-learning effect and error prevention capability are improved, but the computing capacity requirement and device complexity increase significantly
Solution Approach 1:
The patent extracts only the essential behavior parameters (speed, drift, stay duration, turning maneuvers, power consumption) from the large set of detected parameters for evaluation. By focusing on these key parameters that directly indicate error-prone situations, the system achieves self-learning and error prevention without requiring evaluation of all detected parameters, thus reducing computing capacity requirements while maintaining reliability.
Solution Approach 2:
The patent establishes predefined reference behavior parameters before operation begins. These reference values serve as thresholds for automatic comparison during operation, allowing the evaluation device to quickly determine when error-prone situations occur without performing complex real-time analysis. This preliminary setup enables fast decision-making with minimal computing resources during actual operation.
2Adaptability or versatility
If manual input of no-go areas is required during teach-in process, then the initial setup is achieved, but the ease of operation decreases and user intervention is needed
Solution Approach 1:
The patent implements automatic no-go area definition through the evaluation device that monitors behavior parameters and autonomously identifies error-prone areas. The system compares actual behavior against reference parameters and automatically defines no-go areas without requiring manual user input during teach-in operations. This self-service capability eliminates the need for users to manually steer through environments and mark no-go zones, significantly improving ease of operation while maintaining full adaptability.
3Reliability
If repeated analysis of parameters is performed to prevent error situations, then the reliability improves, but the productivity decreases due to continuous computing operations
Solution Approach 1:
The patent extracts and monitors only the five essential behavior parameters (speed, drift, stay duration, turning maneuvers, power consumption) that are most indicative of error-prone situations. By focusing on this minimal essential set rather than analyzing all detected parameters repeatedly, the system maintains high reliability for error prevention while minimizing continuous computing operations and maximizing productivity.
Solution Approach 2:
The patent applies partial analysis by evaluating only the critical behavior parameters that directly relate to error situations, rather than performing exhaustive analysis of all operational data. This selective partial evaluation provides sufficient reliability for preventing errors while consuming significantly less computing resources, thereby improving overall productivity.
Data Source
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AI summary
The invention relates to a self-propelled soil cultivation implement (1) with an evaluation unit (2) configured to navigate the soil cultivation implement (1) within an environment using an environmental map (3) and to determine a behavior parameter (4) and a movement path of the soil cultivation implement (1) during movement. To advantageously further develop the soil cultivation implement (1), it is proposed that the evaluation unit (2) be configured to analyze the behavior parameter (4) and the movement path, automatically determine a no-go area (5) which the soil cultivation implement must not enter based on the result of the analysis, and enter the determined no-go area (5) into the environmental map (3) or modify a no-go area (5) already entered into the environmental map (3).