If you're already a comfortable programmer, familiar with your single board computer and microcontroller, and are ready to refine your projects, then let's get started! This book covers advanced methods and techniques for creating, implementing, monitoring and controlling your experiments and projects with your Raspberry Pi and Arduino. Projects will use Python and the Tkinter GUI and will also cover software development for adding real time data display to the Raspberry Pi. You'll review concepts of frequency occurring in nature and the techniques used to measure the frequency of electrically varying signal voltages. You'll also study procedures for safe design, implementation and operation of experimental measurement systems operating at high heats and high temperatures. Throughout the book you'll look at sources and types of errors, and best practices for minimizing and reducing them. Often times there are simple environmental issues hindering what would seem to be simple projects: high temperatures, controlling the power for elevated temperature with the proportional integral and derivative (PID) algorithm, and the limitations imposed by eight bit code, the influence of noise and errors in measured data, and many more. Advanced Arduino Techniques in Science provides the best tools to move past those restrictions. What You'll Learn Implement an experimental control system and graphical data display for the Raspberry Pi and Arduino Manage experimental control with PID algorithm implementation, tuning and limitations imposed by eight bit digital signals Build an analytical front end Examine data smoothing capability of the Kalman filter Explore available methods for measuring both high and low frequency values in electronic signals Who This Book Is For Educators, researchers, students, makers, citizen scientists, or hobbyists can all extend their measuring capability or improve upon the quality of their collected data. The book is directed to those with intermediate skills in programming and those who are comfortable with Python programming and Arduino C.

It's a simple question, but do you know how to take basic measurements with your Arduino, Raspberry Pi or PC? A lot of the times, you know how to use microcontrollers, sensors, and programming skills to collect data. This book takes it one step further to teach you how to transform your PC, Raspberry Pi, and Arduino to a device that can measure, collect, and analyze data. You'll begin from a simple starting point reviewing the basics of electronics and digital and analog concepts. As you advance through this book, you'll work through 10 exercises to develop a working knowledge of microcontroller properties and graphical data presentation concepts, basic electronic technology, and the fundamentals of controlling and acquiring data. Arduino in Science is your guide to monitoring and measuring physical - chemical parameters with integrated circuitry and physical computational systems. What You'll Learn Review fundamental human machine interfacing with supervisory control and data acquisition software Examine timing, counting, and serial communication concepts Adapt microcontrollers to perform sophisticated functions Understand collection and presentation of data Who This Book Is For Beginner-level students, citizen scientists, and hobbyists, and is also great for educators who can seamlessly implement this content into STEM programs.

Explore the full capabilities of your Arduino. Whether you need to measure light, heat, mass, force, or conductivity, this book can be used as a complete reference guide for making virtually any scientific measurement with your PC or Linux based system and the Arduino microcontroller. You'll apply the Arduino and sensors to take measurements at the macro-, milli-, micro-, nano- and pico-sensitivity ranges. By working through the projects in this book, you'll learn how to apply these techniques in the lab or field in areas such as weighing samples at the gram or milligram levels, measuring water temperature to a tenth of a degree, or its conductivity in milli or micro Siemens. With these projects, you can reliably measure, store, and experiment with a wide range of scientific data. Arduino Measurements in Science features a novel approach and several little known techniques to measure data that requires only basic and accessible hardware - perfect for the home or school workshop! What You'll Learn Make basic scientific measurements with PCs, and Linux based computing systems Review techniques for weighing measurements down into the double and even single digit milligram Use inexpensive sensors and displays to quantify and validate sensor data Incorporate weighing scales, electrometers, magnetic and static field detectors, motion and vibration detectors, and more Understand the possible noise and accuracy problems that can occur and best practices to refine your projects See the benefits of data validation for graphical data display Who Is This Book For Readers looking to acquire the basic science and engineering skills required to assemble fundamental measurement systems to implement with the simple hand tools found in most home or school workshops.