Thermal Camera Analysis with Raspberry Pi (AMG8833)

The AMG8833 infrared thermopile array is a 64-pixel (8x8) detector that approximates temperature from radiative bodies. The module is wired to a Raspberry Pi 4 computer and communicates over the I2C bus at 400kHz to send temperature from all 64 pixels at a selectable rate of 1-10 samples per second. The temperature approximation is outputted at a resolution of 0.25°C over a range of 0°C to 80°C. A real-time infrared camera (IR camera) was introduced as a way of monitoring temperature for applications in person counting, heat transfer of electronics, indoor comfort monitoring, industrial non-contact temperature measurement, and other applications where multi-point temperature monitoring may be useful. The approximate error of the sensor over its operable range is 2.5°C, making is particularly useful for applications with larger temperature fluctuations. This tutorial is meant as the first in a series of heat transfer analyses in electronics thermal management using the AMG8833.

Python FTP for Data Mining and Analysis

Python’s file transfer protocol (FTP) library is used to parse weather station data from the publicly available automated surface observing system (ASOS) from the U.S.A.’s National Climatic Data Center (NCDC). Several programmatic tools available in Python are used to automate the parsing of weather data, as well as visualizing the resulting data.

Satellite Imagery Analysis in Python Part I: GOES-16 Data, netCDF Files, and The Basemap Toolkit

In this tutorial series, Python’s Basemap toolkit and several other libraries are utilized to explore the publicly-available Geostationary Operational Environmental Satellite-16 (GOES-16). In this first entry, the following will be introduced: acquisition of satellite data, understanding of satellite data files, mapping of geographic information in Python, and plotting satellite land surface temperature (LST) on a map.

iPhone Datalogger with Arduino Using The iOS Bluetooth App BLExAR

The BLExAR app will be used in conjunction with a CC2541 (HM-10, JDY-08, AT-09, SH-M08) Bluetooth module and an Arduino (ATmega328) board to create a simple data acquisition system. A DHT22 sensor will provide temperature and humidity data to the Arduino which will be recorded by an iOS device via the BLExAR app. This experiment is a real-world example of an Arduino application demonstrating data acquisition from a real sensor. This tutorial will allow users to solve their own engineering problems using the modern Arduino platform and wireless communication through the BLExAr app, which will ultimately expand the reach and compatibility of technology in the classical sciences through exploration and experimentation.

Heat Transfer of the Raspberry Pi Using Arduino, An Infrared Thermometer, and Type-K Thermocouple

Perfecting Data Visualization with Plotly Using Open-Source Data

A Heat Transfer Experiment with Coffee

Engineering, Python, Raspberry Pi, ArduinoJoshua HriskoSeptember 28, 2017Heat Transfer, Nespresso, Newton, Newton's Law of Cooling, Thermodynamics, Calculus, Differential, Temperature, Logarithm, Arduino Experiment, Raspberry Pi Datalogger, Thermocouple, MAX6675, Experiment, GitHub, Data Acquisition, Data Analysis, Aero-Thermal, ENGR101, Heat Transfer Arduino, Arduino Heat Transfer, Arduino MAX6675, Arduino Temperature, Arduino Thermocouple, Arduino Thermocouple Project, Thermocouple Arduino, MAX6675 Arduino, MAX6675 Project, MAX6675 Thermocouple, MAX6675 Arduino Project, Arduino Thermocouple MAX6675, Arduino Thermocouple Experiment, Arduino Engineering, Arduino Engineering Heat Transfer, Arduino Heat, Arduino Engineer, Arduino Heat Engineer, Arduino Engineering Tutorial, Arduino Project, Raspberry Pi, Differential Equation, Engineer, Engineering