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 establish safety boundaries and detect proximity, allowing for differentiation between potential collision risks and non-threats by analyzing unit vectors and applying logic to distinguish between vehicles in the same aisle and those in offset aisles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If magnetic field strength is used to detect proximity, then detection capability is improved, but nuisance alarms increase due to inability to differentiate between vehicles in same aisle vs. offset aisles

Engineering Contradiction:

Improveproximity detection accuracyVSAvoidalarm accuracy

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent transitions from scalar magnetic field strength measurement to vector-based measurement by introducing directional components (unit vectors). This dimensional change allows the system to distinguish between vehicles in the same aisle versus offset aisles by analyzing the directional orientation of magnetic field vectors, thereby reducing nuisance alarms while maintaining detection sensitivity.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system changes the measurement parameter from simple magnetic field strength to magnetic field vector components. By calculating unit vectors and analyzing directional parameters, the system can differentiate between true collision risks and non-threats, improving alarm reliability without sacrificing detection precision.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If magnetic field detection is used to monitor all vehicles, then collision avoidance is improved, but system complexity increases due to need to analyze vector components and determine relative orientations

Engineering Contradiction:

Improvecollision avoidance capabilityVSAvoiddetection system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the magnetic field detection into orthogonal vector components (x, y, z directions). By breaking down the complex three-dimensional magnetic field into manageable scalar components, the system simplifies processing while maintaining the ability to calculate relative orientations and detect potential collisions accurately.

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If vector component analysis is implemented, then differentiation between same-aisle and offset-aisle vehicles is improved, but computational requirements increase

Engineering Contradiction:

Improvevehicle position differentiation accuracyVSAvoidcomputational processing power

Core Design Contradiction:

Measurement precisionVSPower

Solution Approach 1:

The patent implements a tiered detection approach where the system first performs basic magnetic field strength monitoring, then selectively applies vector component analysis only when vehicles enter proximity thresholds. This partial application of the computationally intensive vector mathematics reduces overall processing requirements while maintaining high precision when needed.

Inventive Principle:

Principle #16Partial or excessive action

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 effectively reduces nuisance alarms and improves collision avoidance by accurately determining the relative orientation and proximity of vehicles and pedestrians, enhancing safety in multi-aisle environments while maintaining system reliability and precision.

Implementation Method 1

at least one magnetic field generator associated with a first location and configured to generate a magnetic field extending through a work site

Methodology Applied

Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

at least one magnetic field detector associated with a second location and configured to detect the magnetic field by determining a strength of the magnetic field in each of at least two vector components along at least two detection axes

Methodology Applied

Scientific EffectMagnetic field detection: Magnetic Field

Data Source

PatentUS11726226B2Managing vehicle movement in aisles by use of magnetic vectors

Publication Date: 2023.08.15 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.