학술논문

MagMaps: An Economical, Lego-Like Approach for Real-Time Magnetic Field Mapping Using Commercial Magnetic Sensors
Document Type
Periodical
Source
IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 72:1-9 2023
Subject
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Magnetic fields
Magnetometers
Software
Real-time systems
Universal Serial Bus
Costs
Protocols
Lego-like
magnetic field mapping
magnetometer
real-time
reconfigurable
Language
ISSN
0018-9456
1557-9662
Abstract
Magnetic field mapping is tedious; a magnetometer probe collects magnetic field data in a point-by-point manner within a two-dimensional (2-D) or three-dimensional (3-D) space. Magnetometer arrays accelerate this process by replacing point-by-point mapping with plane-by-plane mapping. When mapping a large space, a motorized stage is additionally required; the limitations include power inefficiencies, large footprints, cost, and the absence of real-time data acquisition. Here, we introduce MagMaps, a modular Lego-like approach to Magnetic field mapping that overcomes the limitations described above. MagMaps includes a set of physically identical modules termed “MagBricks” that can be stacked in all three axes (similar to Lego bricks); this covers the region of interest and eliminates the need for a motorized stage. Each MagBrick is an independent enslaved module with a unique address, having a microcontroller that continuously acquires magnetic field data from a magnetometer array. An additional brick termed the “MasterBrick” serves as a bridge between the computer and the MagBricks. The MasterBrick collects magnetic field data from uniquely addressed MagBricks and communicates them to a computer, where they are sorted and displayed in real time. This modular Lego-like approach and the use of only off-the-shelf electronic components allow MagMaps to offer real-time MagMaps that is portable, power-efficient, and economical for various 2-D or 3-D spaces.