Range-Based Restriction Zones for Warehouse Vehicle Speed Control
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Solution Overview
Problem
Current solutions for vehicles operating in covered environments, such as warehouses, lack the ability to detect and avoid objects effectively while maintaining operational efficiency, particularly in restricted zones where speed adjustments are required.
Innovation Solution
A system comprising a materials handling vehicle equipped with sensors and transceivers for detecting location and orientation, coupled with a computing device that determines compliance with zone policies, adjusts vehicle operations, and communicates with remote devices to manage entry and exit from restriction zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static zones are used to require vehicles to reduce speed, then safety in restriction zones is improved, but operational efficiency deteriorates due to unnecessary speed reductions
Solution Approach 1:
The system transitions from static speed restriction zones to dynamic, range-based zones that adjust speed requirements in real-time based on actual detected conditions. Vehicles receive customized speed adjustment instructions only when specific objects or hazards are detected within the restriction zone, allowing normal speed operation when zones are clear while maintaining safety when hazards are present.
Solution Approach 2:
The system changes the parameter of speed restriction from a fixed static value to a dynamic variable that depends on detected conditions. The computing device calculates customized speed adjustments based on real-time sensor data, object detection results, and vehicle characteristics, transforming the speed parameter from constant to adaptive.
2Reliability
If static zones require speed reduction, then safety is improved, but the ability to detect and avoid objects deteriorates due to maintained operational speed
Solution Approach 1:
The system performs preliminary speed adjustments before vehicles enter restriction zones by calculating required speed changes in advance based on detected objects and hazards. The computing device determines customized speed adjustments that account for vehicle characteristics and object distances, allowing vehicles to approach zones at optimized speeds that balance safety and detection capability.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from vehicles and environmental sensors are constantly monitored, processed by the computing device, and used to generate real-time speed adjustment instructions. This closed-loop control ensures vehicles receive updated guidance based on changing conditions, improving both safety and object detection effectiveness.
3Ease of operation
If one-size-fits-all speed policies are applied, then ease of operation is improved, but adaptability to different vehicle characteristics deteriorates
Solution Approach 1:
The system applies local quality by customizing speed adjustment policies for each individual vehicle based on its specific characteristics such as type, weight, and performance capabilities. Instead of uniform policies, the computing device calculates vehicle-specific speed adjustments that account for each vehicle's unique properties, allowing tailored compliance while maintaining centralized management.
Solution Approach 2:
The system performs preliminary calculations of customized speed adjustments for each vehicle type before operation. The computing device pre-determines appropriate speed modifications based on vehicle characteristics and detected conditions, storing these as lookup tables or pre-computed guidance that simplifies real-time operation while maintaining vehicle-specific adaptability.
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
Enhances the vehicle's ability to navigate restricted zones by dynamically adjusting operations based on detected conditions, improving safety and efficiency by ensuring compliance with predefined policies.
Implementation Method 1
a vehicle transceiver for detecting a location of the materials handling vehicle in the covered environment
Implementation Method 2
a vehicle sensor for detecting an orientation of the materials handling vehicle
Data Source
AI summary
Embodiments provided herein include a method that includes creating a restriction zone policy for a plurality of covered environments that defines a first rule with a restriction range on a hypothetical materials handling vehicle that is located in a restriction zone in at least one of the plurality of covered environments, creating a first restriction zone for a first covered environment that includes defining a first location in the first covered environment of the first restriction zone, and associating the restriction zone policy with the first restriction zone, which includes defining a first value within the restriction range for the first rule. Some embodiments include applying the restriction zone and the restriction zone policy to the location in the first covered environment.