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wiring-iot-skeleton

Wiring / Arduino based IoT Skeleton Embedded Application, powered by PlatformIO

The project is built for Adafruit ESP8266 Huzzah and can easily be adapted to make it also run on other ESP8266 based controllers, such as for NodeMCU for instance.

Purpose

This project builds up an Arduino Framework based IoT application skeleton and it comprises of several components helping with debugging and integrating embedded applications on ESP8266 based contoller modules.

This project integrates the following components:

  • Timer: configurable recurring or non-recurring timer to schedule events without having to use Arduino delay() function; helps to improve your application's architecture by encapsulating the timers into your components and thus make them active
  • Ramutils: helps to determine the free Ram that is currently available
  • DbgTrace: debug trace log environment with configurable log levels
  • DbgCLI: interactive console environment with command tree that can be built up decentralized (from any different location in your application code and within any component)
  • App-Dbg: boilerplate code setting up all the debug environment such as CLI and Tracing and free RAM info printer
  • MqttClient: Mqtt Client wrapping araound PubSubClient library, monitoring the LAN and Mqtt conection, able to automatically re-connect on connection loss, providing auto publish for selectable topics and auto subscribe for all registered topic subscriptions on re-connection, supports multiple subscritions also with wildcards in the topic path
  • ThingSpeak: Send data to channels on Mathwork's thingspeak.com open data platform for the Internet of Things with MATLAB analytics and visualization
  • ArduinoJson:

The command line interface provides the following functionality:

  • configure the WiFi access point (SSID & Password) and show the WiFi connection status and the available hotspots around your device
  • ThingSpeak features:
    • setup a channel to be written to later on (ChID & API Key)
    • set ThingSpeak channel data fields (1..8) and write the data to the channel
  • MQTT features:
    • connect to / disconnect from a broker (currently using io.eclipse.org)
    • subscribe / unsubscribe to / from MQTT Topics
    • publish to MQTT Topics

This skeleton application demonstrates how to integrate libraries provided by the PlatformIO ecosystem and also how to use your own libraries and can help you to build up your own Arduino Framework based applications with focus on IoT.

The following components are in focus:

Toolchain

PlatformIO is the ideal foundation when developing IoT devices. It supports cross-platform development for many different controller boards widely used in the maker field and also for industrial applications.

Installation

Python 2.7

Windows

  • download Python 2.7.x from: https://www.python.org/downloads/
  • install for all users
  • select destinationdirectory (keep default): C:\Python27\
  • add python.exe to path

Linux

Install Python 2.7 using your package manager.

PlatformIO

Install PlatformIO using the Python Package Manager (see also http://docs.platformio.org/en/latest/installation.html#python-package-manager):

  • in a cmd shell enter: pip install -U platformio
  • upgrade pip, in the cmd shell enter: python -m pip install --upgrade pip
  • upgrade PlatformIO, in the cmd shell enter: pio upgrade

How to build for Eclipse CDT

  1. Create a directory where your Eclipse Workspace will be stored and where this project shall be cloned into. E.g. C:\git\pio-prj
  2. Clone this repository recursively into the folder you created before, git clone --recursive [email protected]:dniklaus/wiring-iot-skeleton.git
  3. Open a command shell in the just cloned project folder, i.e in C:\git\pio-prj\wiring-iot-skeleton
  4. Run the command pio init -b huzzah --ide eclipse
  5. Run the command pio run

Note: Print a list of all available boards with the command: pio boards

Open project in Eclipse CDT

  1. Open Eclipse CDT, choose the folder you created before as workspace, i.e C:\git\pio-prj
  2. Import the project with File->Import->General->Existing Projects into Workspace, choose the wiring-iot-skeleton (i.e C:\git\pio-prj\wiring-iot-skeleton)

Connect Terminal

In order to test and run the CLI commands, a terminal application shall be used. One of the following two applications might give you the best experience:

When using HTerm, load the hterm-com18.cfg file to configure the application properly. Alter the COM18 accordingly to the one that has been selected on your computer.

CoolTerm users can load the CoolTerm_0.stc file and alter the COM8 to the appropriate one.

Debug Features

Debug CLI Commands

Command Tree

 dbg                      Debug CLI root node
   tr                     Debug Trace Port config access
     heap                 Particular Trace Port (heap: see below in chapter Trace Port)
       out                Trace Output config access for the current trace port
         get              Show the assigned Trace Output
         set <outName>    Set a particular Trace Output name
         list             Show all available Trace Output names (and the currently selected)
       lvl                Trace Level config access for the current trace port
         get              Show the current trace level
         set <level>      Set a particular trace level
         list             Show all available trace levels (and the currenntly selected)
     conmon               Trace Port: LAN and MQTT connection monitor                
     mqttctrl             Trace Port: MQTT client control
     mqttrx               Trace Port: Received Messages from MQTT subscriptions
     mqttdflt             Trace Port: Default Mqtt Subscriber
     mqttled              Trace Port: Test LED Mqtt Subscriber
   wifi                   WiFi debug commands
     mac                  show WiFi MAC address
     nets                 list available WLAN networks
     stat                 Show WiFi status
     dis                  Disconnect WiFi
     con <SSID> <Pass>    Connect WiFi
   mqtt                   MQTT client control commands
     con                  Connect to broker
     dis                  Disconnect from broker
     sub <Topic>          Subscribe to MQTT Topic
     unsub <Topic>        Unsubscribe to MQTT Topic
     pub <Topic> <Value>  Publish Value to MQTT Topic
   thgspk                 ThingSpeak debug commands
     chid <channelId>     Set ThingSpeak Channel ID.
     key <APIKey>         Set ThingSpeak API key.
     set <value> [field]  Set ThingSpeak field value (field: 1..8, default: 1)
     wr                   ThingSpeak write fields.

Example commands

  • dbg tr heap lvl set debug
  • dbg thgspk set 23.6 1
  • dbg thgspk set 25.3 2
  • dbg thgspk wr

Trace Port

Trace Port default level functionality
heap info if set to debug level: automatically print free heap memory [bytes], every 10 seconds
conmon info if set to debug level: show WLAN connect / disconnect status updates
mqttctrl info if set to debug: show MQTT Client connection status
mqttrx info if set to degug level: show subscribed incoming messages

Library Usage

This chapter lists all the libraries used by this project.

PlatformIO Libraries

ID Name URL Description
173 SerialCommand https://github.com/kroimon/Arduino-SerialCommand A Wiring/Arduino library to tokenize and parse commands received over a serial port.
550 ThingSpeak https://github.com/mathworks/thingspeak-particle "MathWorks": ThingSpeak Communication Library for Arduino & ESP8266
89 PubSubClient https://github.com/knolleary A client library for MQTT messaging.
64 ArduinoJson https://github.com/bblanchon/ArduinoJson An elegant and efficient JSON library for embedded systems

Homebrew Libraries

Name URL Description
Timer https://github.com/dniklaus/arduino-utils-timer Universal recurring or non-recurring Timer
Debug-Cli https://github.com/ERNICommunity/debug-cli Debug CLI for Embedded Applications - Command Line Interface for debugging and testing based on object oriented tree structure.
Dbg-Trace https://github.com/ERNICommunity/dbg-trace Debug Trace component for Embedded Applications - Debug and Trace Log message system based on trace ports with adjustable levels.
Mqtt-Client https://github.com/ERNICommunity/mqtt-client MQTT Client with pluggable publish and subscribe topic objects
RamUtils https://github.com/dniklaus/arduino-utils-mem Arduino Memory Utilities
App-Debug https://github.com/dniklaus/wiring-app-debug.git Wiring application debug setup component

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