Forklift Speed Control via Optical Obstacle Detection
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Solution Overview
Problem
In warehouse order picking, multiple industrial trucks operating at different speeds cause delays and traffic jams in aisles, requiring constant operator attention and individual control, leading to reduced picking efficiency.
Innovation Solution
An industrial truck control method using an optical sensor connected to a control device that automatically starts and follows a leading truck, stopping and restarting based on detected obstacles, allowing for automatic guidance and reduced operator interaction, enabling convoy operation and increased picking speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple industrial trucks are operated simultaneously in a rack aisle with individual remote control, then each picker can control their truck independently, but traffic jams occur and picking speed decreases due to sequential movement requirements
Solution Approach 1:
The industrial truck is equipped with automatic obstacle detection and stop functions that enable it to operate autonomously without continuous operator intervention. The truck independently monitors its environment using optical sensors and automatically responds to obstacles, freeing the operator from constant attention requirements while maintaining safe operation in multi-truck environments
Solution Approach 2:
The system uses optical sensors to continuously detect obstacles and provides feedback to the control device, which automatically adjusts truck operation. This feedback mechanism enables the truck to respond dynamically to environmental conditions, allowing multiple trucks to operate simultaneously without collisions while maintaining high picking speeds
2Reliability
If optical sensors are used to automatically detect obstacles and stop the truck, then collision prevention is improved, but delays occur when trucks must wait for obstacles to clear before restarting
Solution Approach 1:
The optical sensor continuously scans the environment in advance to detect obstacles before they become a collision risk. By performing preliminary detection and automatic stopping, the system prevents collisions while minimizing waiting time, as the truck can quickly resume operation once the path is clear without requiring manual operator assessment
Solution Approach 2:
The manual mechanical control system is replaced with an automated optical detection and control system. The optical sensor and control device work together to automatically detect obstacles and manage truck movement, eliminating the need for operators to manually monitor and control each truck, thereby reducing waiting times and improving overall efficiency
3Measurement precision
If operators must maintain constant attention to their picking truck to control it manually, then individual control precision is maintained, but operator workload and complexity increase
Solution Approach 1:
The industrial truck performs self-monitoring and self-control functions through integrated optical sensors and automated control devices. The system independently detects obstacles, determines appropriate actions, and executes control commands without requiring continuous operator intervention, thereby reducing operator workload while maintaining operational precision through automated decision-making algorithms
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method reduces operator workload, eliminates traffic jams, and allows for efficient convoy operation of multiple trucks, increasing picking speed and extending battery life by maintaining homogeneous driving and adaptive speed control.
Implementation Method 1
the industrial truck has an optical sensor with a monitoring area that is connected to a control device, and the control device automatically switches the industrial truck on after a start command
Data Source
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AI summary
In a method for controlling a forklift truck (1), in particular for order picking, wherein the forklift truck (1) has a sensor with a monitoring area (5) for monitoring the environment, which is connected to a control device, and the control device automatically drives the forklift truck (1) after a start command without a signal from a person-operated driving signal transmitter, detects a monitoring area (5) in the direction of travel of the forklift truck by evaluating the data and stops the forklift truck (1) when an obstacle is detected closer than a stopping distance (10), after a stop of the forklift truck (1) the control device starts the forklift truck (1) again and continues driving automatically as soon as no obstacle closer than the stopping distance (10) is detected.