Forklift Drive Parameter Reset at Pick Start for Stable Acceleration
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Solution Overview
Problem
Materials handling vehicles face challenges in transitioning from manual to semi-automated driving modes, particularly in accurately adapting acceleration parameters based on recent driving behavior, which can lead to unstable load handling and inefficient operations during stock picking operations.
Innovation Solution
A method and system for monitoring and storing drive parameters during manual operations to adapt acceleration settings for semi-automated driving, including detecting the start of a pick operation to reset and update data, ensuring accurate and stable load handling by adjusting acceleration limits based on recent driving behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If drive parameter data is continuously stored during manual operation for semi-automated driving adaptation, then the adaptability of acceleration parameters improves, but the risk of using outdated or irrelevant data increases when pick operations occur
Solution Approach 1:
The controller preliminarily identifies the start of a pick operation by detecting when the load handling assembly is raised, and resets the stored drive parameter data in advance before the picking operation begins. This ensures that outdated data from previous operations does not contaminate the adaptation process for the current pick operation, maintaining data reliability while preserving adaptability.
2Productivity
If acceleration parameters are dynamically adjusted based on recent driving behavior, then operational efficiency improves, but load handling stability may deteriorate if adjustments are not properly timed
Solution Approach 1:
The controller performs preliminary detection of the load handling assembly position and resets drive parameter data before the pick operation begins, ensuring that acceleration parameter adjustments are based on clean, operation-specific data. This timing prevents unstable adjustments during critical load handling moments while enabling efficient adaptation during appropriate phases of operation.
Data Source
AI summary
A method for operating a materials handling vehicle is provided and comprises: monitoring, by a controller, a first vehicle drive parameter during a manual operation of the vehicle by an operator; storing, by the controller, data related to the monitored first vehicle drive parameter. The controller is configured to use the stored data for implementing a semi-automated driving operation of the vehicle subsequent to the manual operation of the vehicle. The method further comprises: detecting, by the controller, operation of the vehicle indicative of a start of a pick operation occurring during the manual operation of the vehicle; and based on detecting the start of the pick operation, resetting, by the controller, the stored data related to the monitored first vehicle drive parameter.