Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments

Abstract

The topic of electric and magnetic fields is fundamental to the physics curriculum in both high school and college. The applied aspect of this topic has triggered the rapid development of modern technology in this era. This paper reported a remote data acquisition system developed for experiments with magnetic fields by coils to support experimental physics learning remotely. The system used magnetic sensors, Arduino interfaces, and NI-Vernier Sensor-DAQ and LabVIEW as a data acquisition software. It was successful in testing for and measuring the distribution of magnetic fields along the axis of a circular coil. The measurement results showed experimental values in line with Biot–Savart law. The system developed is therefore useful as a learning tool that provides students with the opportunity to control instruments and conduct experiments in real-time remotely via the web. This system is also useful for overcoming the limited access to experimental devices.

Archimedes’ principle experimental apparatus for remote physics laboratory

“…The Force Sensor is connected to the computer via SensorDAQ, a data acquisition interface from National Instrument (NI) and Vernier. SensorDAQ has three analogs and one digital channel with a maximum capacity of up to 48 000 samples per second [11]. The hardware schematic diagram of the experiment is displayed in figure 4.…”

An Arduino-based magnetic polarity detector and field intensity display

“…The Vcc and Gnd pins of the sensor must be connected to the 5 V and GND pins of the Arduino board, respectively, while the Out pin of the sensor must be connected to the Arduino analog pin A0, such as shown in figure 1. An Arduino code like that shown in the supplementary data, which is based on a basic teslameter [3][4][5], is used to collect the experimental data. The Arduino board will repeatedly gather the measurement of the magnetic flux density every second.…”

MIMO Cross-Layer Secure Communication Algorithm for Cyber Physical Systems Based on Interference Strategies

“…Conversely, when the interference threshold is higher, the interfering microsite cluster contains fewer microscopic regions, then the microcells suffer less residual interference from microscopic regions, but more microsites will be deprived of transmission opportunities. Regardless of the value of the interference indicator variable, the microsites located outside the interference-limited domain can transmit data normally [25]. Thus, the sum of the network utility of micro users located outside the interference-limited domain is independent of the optimization variable and it is always non-negative.…”