AIS reciever for Raspberry Pi, 2 channel

Updated 2024-01-20 !! OK with Bookworm !!

This post covers the setup for a AIS, dual channel, receiver for Raspberry Pi(RPi) with systemd autostart.

I'm using the RTL-SDR dongle V3 with almost zero temperature drift or the even better NooElec NESDR Nano 3

AIS posts with charts/maps

• OpenSeaMap and dispatcher 
• OpenStreetMap and dispatcher

Improve receiving range? Calibrate ! Instructions in this post

The best AIS application ? is found here !

Install Weather34 with WeatherLink, v2 API

Updated 2024-01-08 OK with Bookworm 64 bit, PHP 8.2 !

This post is an update from a former post which handles on how to set up a weather WEB-site with data from Davis Weather Link(WL) but here adapted to the latest WL API v2.

Any product that reports weather data to WL can be used as a source for this weather template.

This is made without additional software such as Cumulus, Weather display or the Meteobridge product.

RPi install Apache/PHP WEB-server

Updated 2024-01-07 ! OK with Bookworm & PHP 8.2 !

As a part of one of my project, the ultimate Weather site ? Weather34, I needed a WEB-host with PHP.

I started up with a fresh Raspberry OS Lite SD Card with Samba installed.

Log on, with ssh/terminal to the RaspberryPi(RPi), in this case hostname "pws01", and update the OS with

sudo apt update
sudo apt full-upgrade -y
sudo apt clean

go on and install the Apache server with

sudo apt install apache2

Samba, RPi as Windows file/print server

Updated 2024-01-05 OK with Bookworm !

If You want that the Raspberry Pi(RPi), shall appear in MS File Explorer or Mac Finder, as a File server, the easiest way is to install Samba.

This also makes it much easier if You want to edit files on the RPi with editors from Your MS/Apple device. Or maybe moving files from/to the RPi.

SeaTalk1 to NMEA 0183 converter, DIY

Updated 2024-01-03 !  Not for RPi 5 !!

Thanks to Thomas, (the guy with the nice marine interface board), it's now possible to decode, one way, the SeaTalk1(ST1) sentences in a pretty simple way. You just use OpenPlotter(OP) and/or SignalK(SK) and an Optocoupler.

The thing that made it, is that Thomas has released a "how to" and Python source code, that will read the data from a GPIO pin on the Raspberry Pi, (RPi), and format it so the standard parser in SignalK can translate it to SignalK delta format. It is then available as NMEA 0183. It's even possible to send the data in to a NMEA 2000 network, with a proper hardware interface.