From the article on using the ESP8266 with an OLED graphical display written in Python, you’ll find that it’s fast and easy but when used with other microcontrollers that cannot use Micropython or CircuitPython, what must be done? One of the many options is the u8glib or u8g2 (Universal 8 bit Graphics Library) libraries, designed to work with monochromatic 8-bit graphics over either I2C or SPI communication. In this article, we are using I2C OLED as shown in Figure 1.
This article discusses the SPI bus functionality of the Arduino framework for use with the STM32F030F4P6, STM32F103C8, STM32F401, esp8266 and esp32. The operation of this bus requires at least 3 intercommunication cables: SCLK, MISO. and MOSI for transmitting the clock signal between the sender and the receiver. It serves to receive information from the sender. and used for sending information to the recipient.
From the use of 3 signal lines, it is found that data can be transmitted and received simultaneously. This is different from I2C bus communication that uses only one SDA cable to communicate. At the same communication speed, the SPI bus will receive and transmit data without waiting for an idle line, while I2C will have to wait for idle. With this in mind, SPI can send/receive data faster.
In addition, SPI uses a method to select the destination to communicate by instructing the endpoint to know by sending a signal to the SS pin of the terminal. Therefore, when connecting to multiple devices, SPI requires a larger number of pins to operate, while I2C uses device identification to communicate with each other by still using only one SDA cable, which saves more pins.
This article describes the methods of Wire.h, a class for communicating with devices over an I2C bus that uses two signal wires called SDA and SCL to transmit data between them. We have quite a number of articles about this type of communication and used as the main bus to develop devices by yourself and run through the bus, for example, articles on using esp8266 to connect to Arduino Uno or using esp8266 with stm32f030f4p6, etc.
From the previous article, we have experimented with controlling the digital signal output by driving the LED circuit connected to the STM32 microcontroller board, both Cortex-M0, Cortex-M3 and Cortex-M4. to import digital signals and use an example of connecting a switch circuit to control the on or off of an LED lamp as shown in Figure 1.
This article describes how Adafruit’s DHT Sensor library is compatible with all Arduino-compatible architectures, making it easier to deploy DHT sensors for humidity and temperature readings across multiple platforms. This article has tested with ESP32, ESP8266, Arduino UNO and stm32f103c and found that it can be used without modifying the code in the working part or having to modify the source code to make it compatible with the platform.
This article is a series of programming articles focused on the Cortex-M0 via the STM32F030F4P6 or any other STM32 microcontroller based on CMSIS, an ARM firmware compiled from vivonomicon.com‘s series of Bare Metal: STM32 Programming articles without using the Arduino framework. In the article EP.1 is a matter of preparation. It consists of creating a link file to link different parts of the code together and the working part file. After that, the result file is uploaded into the microcontroller to complete the program development process.