Nature's Hidden Patterns
By Rick McKeon
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About this ebook
Join me on an adventure of discovery! We will use the Arduino and various sensors to capture light, sound, and motion from natural events such as a tree branch blowing in the wind, sparkling gems of light reflecting from the surface of a lake, or the sound of a babbling brook. Then we will display these captured datasets graphically and look for patterns.
Many natural events seem completely random, but when sampled and plotted in three dimensions, beautiful and intricate patterns emerge!
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Nature's Hidden Patterns - Rick McKeon
Chapter 1: This Is the Age of Discovery
1.1 From Sailing Ships to PCs
During the early days of discovery explorers went out in sailing ships to find strange and exotic lands. The Royal Geographical Society in London would sponsor these hearty explorers and wait expectantly to receive their reports. Many of them were hailed as heroes or knighted by the Queen. What an exciting time!
Today is no less exciting. These are the days of exploration and discovery! The tools we use today are not the sextant and sailing ship. Our tools are small, inexpensive microcontrollers, sensors, and personal computers. You don't need to sail off to a far away land to make discoveries. You can make amazing discoveries in the woods near your home or even at the local city park.
Inventions like the telescope and the microscope expanded our understanding of the natural world. Today the average person can discover amazing things using commonly available tools like the Arduino microcontroller and the personal computer. These tools are very powerful and easy to use.
1.1.1 A Little History
In the early 1960's I was an electronics technician in the U.S. Air Force stationed at Ramstein Air Base in Germany. I used to fix the radio equipment used to support the planes on the flight line. Those were great times, but the electronics was pretty primitive. We're talking vacuum tubes.
I remember when the first mini-tube
came out. They were so small compared to what we were used to. And then all electronic components started to be replaced with transistors and integrated circuits.
When I got out of the Air Force I went back to school and studied electrical engineering. We're still talking mid to late 1960s. Things were advancing rapidly with the development of the microprocessor, but product design was still pretty low level.
In those days microprocessors required a lot of external hardware in the form of Random Access Memory (RAM), non-volatile memory to hold the program (EEPROM), Analog to Digital Converters (ADC), address decoders, and a bunch of other external circuits just to get the job done. Today we have Microcontroller Units (MCUs) with all that stuff on board. That simplifies things a lot! Also, we wrote our programs in machine language by hand (I mean pencil and eraser) on coding sheets using hex characters. A little later we got to write code in assembly language on a PC. That was a step up, but still pretty low level!
Fast-forward 50 years.
Wow, how things have changed!
Today we have powerful, easy to use microcontrollers like the Arduino and development systems that middle school kids become proficient at quickly. These technical advances have made it possible for the average layman or hobbyist to build interesting projects and discover amazing things!
We will use the Arduino and the PC (or MAC) to investigate the underlying forces at work in the natural world. We will study natural events and look for attractors. Dynamic systems may be attracted to a single point, a small set of points, or a beautiful complex shape called a strange attractor.
How exciting is that!
Our fieldwork will involve recording phenomena as diverse as a dripping faucet, wind blowing tree branches around, and reflections from the surface of a lake. You get the idea! Our curiosity about nature can be enhanced through the use of microcontrollers for data gathering and graphing software for display.
1.1.2 The Discovery Process
How does it happen? How do we go from an interesting question about the patterns in natural events to an insight?
Figure 1-1 illustrates the steps involved to go from a brilliant idea to an illuminating answer. Here's an overview:
1. We ask a question about some fascinating aspect of nature.
2. We design an experiment to collect data. The data capture may involve light, sound or movement. We may need to capture changing variables over time or simply try to capture the time intervals between events. At this point we also need to design the necessary jigs to hold the sensors. We may capture directly to the Arduino or to some other device like an audio recorder.
3. If we are capturing directly to the Arduino, we write a sketch to read the sensor data and store it to an attached SD card shield. This would typically involve taking readings every so many milliseconds.
4. If we are capturing to another device we will write the Arduino sketch after we have the data in a presentable form.
5. If necessary, we clean the captured data to make it useable for triggering interrupts.
6. With Windows File Explorer, we create a folder for the captured data on our PC. Then we read the data from the SD card and save it in that folder as a simple text file with one entry per row.
7. Next we use a BASIC routine to convert that text file to a three-column comma separated (csv) file that can be imported into our graphing software. Of course it doesn't need to be a BASIC routine. You could use any computer language you want for the file conversion.
8. Then the fun begins! We plot that data set out in three dimensions and look for patterns. Amazing patterns show up this way that would be impossible to spot just looking at a string of numbers.
Figure 1-1. The Discovery Process
1.1.3 Two Different Approaches
If you think about the fascinating natural processes that we see all around us, you will notice that they seem to fall into two basic categories - Continuous and Discrete.
1. Continuous: Processes like the sound of