SUT ESP32 Laboratory Node Hardware Reference


Each laboratory node is equipped with an ESP32-S3 double-core chip. Several peripherals, networks and network services are available for the user. The UI is necessary to observe results in the camera when programming remotely. Thus, a proper understanding of UI programming is essential to successfully using the devices.

Note that each node has a unique ID built into the chip, as well as unique MAC addresses for the WiFi and Bluetooth interfaces.

Hardware reference

The table 1 lists all hardware components of the SUT's ESP32-S3 node and hardware details such as connectivity, protocols, GPIOs, etc. Please note that some pins overlap because buses such as SPI and I2C are shared among multiple components.
The node is present in the figure 1 and reference numbers reflecting components in the table 1.

Figure 1: ESP32-S3 SUT Node
Table 1: ESP32-S3 SUT Node Hardware Details
Component ID Description Hardware model (controller) Control method GPIOs (as connected to the ESP32-S3) Remarks
1A 12V PWM controlled fan Pe60251b1-000u-g99 PWM FAN_PWM = 35 Fan blows air into the pressure chamber (yellow container) to stimulate air pressure changes.
1B Pressure and environmental sensor BME 280 I2C, address 0x76 SDA=5, SCL=4 Spinning of the fan causes air to blow inside the yellow chamber and thus causes air pressure to change.
2 Digital potentiometer DS1803-100 I2C, address 0x28 SDA=5, SCL=4, analog input (A/D)=7 Digital potententiometer's output is connected to the A/D input of the MCU.
3 Temperature and humidity sensor 1 DHT11 proprietary protocol, one GPIO control on GPIO 47
4 Temperature sensor 2 DS18B20 1-Wire 1-Wire interface on GPIO 6
5 2×16 LCD HD44780 Proprietary 4 bit control interface EN=1, RS=2, D4=39, D5=40, D6=41, D7=42 4-bit, simplified, one-directional (MCU→LCD) communication only
6 ePaper, B&W 2.13in, 250×122 pixels Pico-ePaper-2.13 SPI SPI_MOSI=15, SPI_CLK=18, SPI_DC=13, SPI_CS=10, SPI_RST=9, EPAPER_BUSY=8 Memory size is 64kB (65536ul)
7 OLED, RGB colourful 1.5in, 128×128 pixels SSD1351 SPI SPI_MOSI=15, SPI_CLK=18, SPI_DC=13, SPI_CS=11, SPI_RST=12 64k colours RGB (16bit)
8 RGB Smart LED stripe 8*WS2812B Proprietary protocol, one GPIO NEOPIXEL=34
9A Light intensity and colour sensor TCS 34725 I2C address 0x29 SDA=5, SCL=4, Interrupt=16 The sensor is illuminated by RGB LED (9A)
9B RGB LED PWM controlled PWM LED_R=33, LED_B=26, LED_G=21 Each colour can be independently controlled with PWM. The LED is integrated with another, illuminating the colour sensor (9B) so that controlling this RGB LED also directly impacts the other.
10 Standard miniature servo SG90 or similar PWM SERVO_PWM=37 Standard timings for micro servo: PWM 50Hz, duty cycle:
- 0 deg (right position): 1ms,
- 90 deg (up position): 1.5ms,
- 180 deg (left position): 2ms.

The MCU standing behind the laboratory node is a genuine ESP32-S3-DevKitM-1-N8 from Espressif [1], present in figure 2:

ESP32-S3-DevKitM-1-N8 development kit
Figure 2: ESP32-S3-DevKitM-1-N8 controlling the laboratory node

A suitable platformio.ini file for the correct code compilation is presented below. It does not contain libraries that need to be added regarding specific tasks and hardware used in particular scenarios. The code below presents only the typical section. Refer to the scenario description for details regarding case-specific libraries needed for the implementation:

platform = espressif32
board = esp32-s3-devkitc-1
board_build.mcu = esp32s3
board_build.f_cpu = 240000000L
framework = arduino
platform_packages =
    toolchain-riscv32-esp @ 8.4.0+2021r2-patch5
lib_ldf_mode = deep+

Network configuration and services

Figure 3 represents SUT's VREL Next Gen IoT remote lab networking infrastructure and services. Details are described below.

If you're a fully remote student, you do not have access to the public part of the network (addresses; thus, you need to use only IoT devices and services available in the internal IoT WiFi network that IoT devices you're programming can access.

If you're a SUT student or can access the campus network, you can also use addresses.

Figure 3: VREL Next Gen IoT remote lab networking infrastructure and services

Networking Layer

The WiFi network, separated (no routing to and from the Internet) for IoT experimentation is available for all nodes:

  • SSID: internal.IOT.NextGen
  • PASS: IoTlab32768

A public, wired ( network is available only for on-site students and from the SUT's campus network.

It is important to distinguish the network context and use the correct address. Integration services usually have two interfaces: one is available from the IoT WiFi network so nodes can access it, and the other IP address (from the public campus network) is available only for students directly connected to it.

Application Layer Services

There are currently two application layer services available:

  • MQTT broker available on both addresses:
    • IP addresses: (from internal IoT WiFi network), (via the campus network);
    • Port: 1883 (TCP)
    • User: vrel
    • Pass: vrel2018
  • CoAP server with 2 endpoints:
    • IP addresses: (from internal IoT WiFi network), (via the campus network);
    • Port: 5683 (UDP)
    • Endpoints:
      • GET method for

        that brings you a secret code in the message's payload,

      • GET method for

        that brings you a hello world welcome message in the payload.

en/iot-open/practical/hardware/sut/esp32.txt · Last modified: 2024/05/07 12:23 by pczekalski
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