Data Stuff
The Automatic Identification System is the focus of this article. I programmed the full stack to get my home AIS (Automatic Identification System) feed. Then I added AISHUB’s AIS feed on a 2D and a 3D Map.
I show this on www.deepship.ai. 30000 to 34000 live ships are tracked usually in 1 minute intervals.
This is the summary of our weather here, collected over two years. Data was logged from a N23DQ 2.1.3 OS: 3.0.9 into MySQL as also seen in Periodic sending. The data gets send to a PHP script on a remote server that then makes graphs, overlays this onto a webcam picture, updates the MySQL database and sends the data also to Weather Underground. But Weather Underground does not give me overall mean temperatures, and does not log certain values, but samples more often, while I took samples every 5 minutes in my own data base. Discrepancies in the histogram and the WU data are explained through this. The peak value of 42 degrees would also have been achieved in full sun exposure.
Ophelia passing Scotland video using automatic webcam picture sending and linking it to Maplin weather station data with PHP, imagemagic, described here.
The teensy 3.2 USB development board runs a
MK20DX256 32 bit ARM Cortex-M4 72 MHz (96 Mhz overclockable)
has
262144 Flash memory
65536 Ram Memory
2048 EEPROM
34 I/O Pins, runs on 3.3 V and is 5 Volt tolerant
21 Analogue Ins, 12 PWM’s, 3 UARTS, 2 I2C and 1 SPI input.
It comes with it’s own loader, compiler and Arduino Software Tools integration.
Particle Photon and DHT22
The Particle Photon is a Cloud connected IoT device.
It has:
Install on OSX fails as described on
https://docs.particle.io/guide/getting-started/connect/photon/
node.js 5
Read moreSetting up a particle (Spark.io) Photon on OSX El Capitain
The Arduino Fio is a microcontroller board based on the ATmega328P and runs at 3.3V and 8 MHz. An XRF/ARF/XBee socket is available on the bottom of the board.
The task is to use an old Franzis Duemilanove Clone, a DHT22 and a Ciseco XRF to deliver LLAP (or the Language of the Internet of Things) via Radio (868 MHz) and to display Temperature and Humidity on the LCD.
The old Franzis Arduino Duemilanove came from one of their first starter learning kits. These kits were also sold in the UK at Maplin stores.
The Arduino Duemilanove (“2009”) was a microcontroller board based on the ATmega168 or ATmega328. It had a 14 digital input/output pins , 6 analog inputs, a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP header, and a reset button.
Here we will combine an Arduino Nano, a DHT22 and a Ciseco XRF to deliver LLAP (or the Language of the Internet of Things) via Radio (868 MHz).
The Ciseco XRF is a wireless node. It is low powered and XBee shaped and has a RF serial data module. Operates in the ISM bands (868 to 915 MHz). It can be programmed over the air with a SRF – USB Stick or a Voyager+, as well as directly to the board’s serial or SPI pins with an FTDI breakout board.
The RFu – 328/SRF is an Arduino compatible wireless node.It’s equipped with a 16Mhz Atmel ATMega 328P preloaded with the Arduino Uno bootloader. It can be programmed over the air as well as directly to the board’s serial or SPI pins with an FTDI breakout board.