Magnetic Vector Proximity Detection for Multi-Aisle Vehicle Safety

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Solution Overview

Problem

Proximity detection systems in industrial settings, particularly in warehouse environments with storage racks, face challenges in accurately differentiating between true safety threats and non-threats, leading to nuisance alarms and collisions between vehicles and pedestrians.

Innovation Solution

The use of magnetic vector components instead of solely relying on magnetic field strength to differentiate between potential collisions and non-threats, allowing for more precise detection and warning systems by analyzing vector components and orientations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If magnetic field strength is used for detection, then detection range is improved, but measurement precision deteriorates due to inability to differentiate between threats and non-threats

Engineering Contradiction:

Improvedetection rangeVSAvoiddetection accuracy

Core Design Contradiction:

Area of stationary objectVSMeasurement precision

Solution Approach 1:

The patent transitions from scalar magnetic field strength measurement to vector component measurement by introducing directional detection axes. The magnetic field detector now measures components along at least two orthogonal axes (X and Y), adding a dimensional aspect to the detection. This allows the system to distinguish between vehicles in the same aisle versus adjacent aisles by analyzing the ratio of vector components, thereby improving measurement precision while maintaining detection range.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent changes the detection parameter from single scalar field strength to multiple vector components with directional information. By measuring magnetic field components along different axes and calculating their ratios, the system transforms the detection parameter to include orientation and directional context, enabling precise differentiation between true threats and non-threats without compromising detection range.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If magnetic field detection is used in multi-aisle environments, then detection capability is improved, but false alarms increase due to detection of vehicles in adjacent aisles

Engineering Contradiction:

Improvedetection capabilityVSAvoidfalse alarms

Core Design Contradiction:

ReliabilityVSObject-generated harmful factors

Solution Approach 1:

By adding directional detection axes to the magnetic field detection system, the patent enables differentiation between vehicles in the same aisle versus those in adjacent aisles. The vector component analysis provides spatial context that eliminates false alarms from vehicles in neighboring aisles while maintaining reliable detection of actual threats in the same aisle.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent replaces simple scalar threshold-based detection with a vector-based detection system that uses directional information and component ratios. This substitution of the detection mechanism allows the system to distinguish between relevant and irrelevant magnetic field sources, eliminating false alarms while preserving detection capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If vector component analysis is implemented, then measurement precision is improved, but device complexity increases

Engineering Contradiction:

Improvedetection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the magnetic field detection into orthogonal vector components along X and Y axes. By breaking down the detection into separate measurable components and analyzing their ratios, the system achieves high measurement precision through a structured, modular approach that manages complexity through systematic decomposition of the detection task.

Inventive Principle:

Principle #1Segmentation

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 approach reduces nuisance alarms and enhances safety by accurately determining the proximity and orientation of vehicles and pedestrians, preventing collisions and improving operational efficiency in multi-aisle environments.

Implementation Method 1

at least one magnetic field generator associated with a first location configured to generate at least one magnetic field

Methodology Applied

Scientific EffectMagnetic field generation: Electromagnet

Implementation Method 2

at least one magnetic field detector associated with a second location, the at least one magnetic field detector having at least two detection axes

Methodology Applied

Scientific EffectMagnetic field detection: Magnetic Field

Data Source

PatentUS11221428B2Managing vehicle movement in aisles by use of magnetic vectors

Publication Date: 2022.01.11 FREDERICK ENERGY PRODUCTS LLC

AI summary

Proximity detection systems and proximity detections methods are disclosed herein. In one aspect of the disclosure the systems and methods include measuring and analyzing the vector components of a generated magnetic field. In another aspect of the present disclosure, the results of the vector component measurements are used to take safety actions which may result in an alert to an operator or pedestrian, and/or automatic action by a vehicle or machine.