NalkinsCloud-ESP8266

This is an IOT project, written in C++, running on the ESP8266 microchip,
It can also be used on Arduino boards.
The Project will allow send/receive info from/to sensors, forward it to a MQTT broker.

Setting up project on CLion and PlatformIO

Make sure to use Python 3.5+, detailed install instructions here

Install PlatformIO:

python3 -c "$(curl -fsSL https://raw.githubusercontent.com/platformio/platformio/master/scripts/get-platformio.py)"

Install Shell Commands:

# create system-wide symlinks
ln -s ~/.platformio/penv/bin/platformio /usr/local/bin/platformio
ln -s ~/.platformio/penv/bin/pio /usr/local/bin/pio
ln -s ~/.platformio/penv/bin/piodebuggdb /usr/local/bin/piodebuggdb

Prepare Clion IDE with PlatformIO,

Init new project using the esp8266-12 board:

platformio init --ide clion --board esp12e

Install/Update libraries

platformio lib install
platformio lib update

Build and Upload project as instructed here

Post Installation

When the chip cannot connect to the MQTT Broker, or cannot connect to a Wi-Fi network, it will enter a configuration state,
On this state the chip will start a Web Server and will run as an Access Point, the default SSID is ESP8266 and default password is nalkinscloud.

The device configuration is fully automatic when using NalkinsCloud Android App, but you can also manually configure some of its data.
The default IP address of the device is 10.0.0.1, use any smart device to browse to http://10.0.0.1/ (This is optional process)

• Only when the device is in configuration state the Android App can connect and configure automatically the device.
• In order to setup a working device please refer to NalkinsCloud-Android

Once the device is connected to a Wi-Fi network, and a MQTT broker, it will start sending the broker messages containing Humidity and Temperature

General workflow of setup() function

General workflow of main() function

Creating a bit map array

• can be later used for ssd1306 oled display

for images of 64x48 pixels,

select picture in the side of max 64x48, convert the image to bit map array using http://javl.github.io/image2cpp/,
select code output format to Arduino code, save out put part of the code.

Use generated bit map as

// top left corner X, top left corner Y,
// byte array of bitmap,
// width of bitmap (pixels), height of bitmap (pixels), Color
display.drawBitmap(0, 0, myBitmap, 64, 48, WHITE);
display.display();