UV Sensor

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UV Sensor
UV Sensor

Ultraviolet Sensor
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Overview

  • Output voltage boosts along with the ambient ultraviolet intensity increases.
  • Onboard amplifier circuit with an adjustable amplification factor.

Specifications

  • Chip: SGM8521
  • Voltage: 3.3V- 5V
  • Output type: Analog outout
  • Response spectrum: 200nm-370nm
  • Dimension: 22.0mm * 16.0mm
  • Mounting holes size: 2.0mm
  • Available distance: 0.8m (typ.), 1.5m(max)

Applications

  • Ultraviolet tester
  • Outdoor ultraviolet detector
  • Germicidal lamp

Pinouts

In the case of working with a MCU:

  • VCC ↔ 3.3V ~ 5.0V
  • GND ↔ power supply ground
  • AOUT ↔ MCU.IO (analog output)

Pico Quick Start

Download Firmware

  • MicroPython Firmware Download

MicroPython Firmware Download.gif

  • C_Blink Firmware Download

C Blink Download.gif

Video Tutorial

  • Pico Tutorial I - Basic Introduction

  • Pico Tutorial II - GPIO

  • Pico Tutorial III - PWM

  • Pico Tutorial IV - ADC

  • Pico Tutorial V - UART

  • Pico Tutorial VI - To be continued...

MicroPython Series

C/C++ Series

Arduino IDE Series

Install Arduino IDE

  1. Download the Arduino IDE installation package from Arduino website.
    RoArm-M1 Tutorial II01.jpg
  2. Just click on "JUST DOWNLOAD".
    Arduino IDE Pico.png
  3. Click to install after downloading.
    RoArm-M1 Tutorial II02.gif
  4. Note: You will be prompted to install the driver during the installation process, we can click Install.

Install Arduino-Pico Core on Arduino IDE

  1. Open Arduino IDE, click the File on the left corner and choose "Preferences".
    RoArm-M1 Tutorial04.jpg
  2. Add the following link in the additional development board manager URL, then click OK.
    https://github.com/earlephilhower/arduino-pico/releases/download/global/package_rp2040_index.json

    RoArm-M1 Tutorial II05.jpg
    Note: If you already have the ESP8266 board URL, you can separate the URLs with commas like this:

    https://dl.espressif.com/dl/package_esp32_index.json,https://github.com/earlephilhower/arduino-pico/releases/download/global/package_rp2040_index.json
    
  3. Click on Tools -> Dev Board -> Dev Board Manager -> Search for pico, it shows installed since my computer has already installed it.
    Pico Get Start 05.png
    Pico Get Start 06.png

Upload Demo At the First Time

  1. Press and hold the BOOTSET button on the Pico board, connect the Pico to the USB port of the computer via the Micro USB cable, and release the button when the computer recognizes a removable hard drive (RPI-RP2).
    Pico Get Start.gif
  2. Download the demo, open arduino\PWM\D1-LED path under the D1-LED.ino.
  3. Click Tools -> Port, remember the existing COM, do not need to click this COM (different computers show different COM, remember the existing COM on your computer).
    UGV1 doenload02EN.png
  4. Connect the driver board to the computer with a USB cable, then click Tools -> Ports, select uf2 Board for the first connection, and after the upload is complete, connecting again will result in an additional COM port.
    UGV1 doenload03EN.png
  5. Click Tool -> Dev Board -> Raspberry Pi Pico/RP2040 -> Raspberry Pi Pico.
    Pico Get Start02.png
  6. After setting, click the right arrow to upload.
    Pico Get Start03.png
    • If you encounter problems during the period, you need to reinstall or replace the Arduino IDE version, uninstall the Arduino IDE needs to be uninstalled cleanly, after uninstalling the software you need to manually delete all the contents of the folder C:\Users\[name]\AppData\Local\Arduino15 (you need to show the hidden files in order to see it) and then reinstall.


Open Source Demo

Hardware Connection

Sensor Pico Description
VCC 3.3V Power input
GMD GND Power ground
AOUT GP26 Analog output
UV Pico 1.jpg

Download examples

Use Raspberry Pi as the host device. Open a terminal and run the following commands to download the example.

sudo apt-get install p7zip-full
cd ~
sudo wget  https://files.waveshare.com/upload/c/c5/UV-Sensor-code.7z
7z x UV-Sensor-code.7z -o./UV-Sensor-code
cd ~/UV-Sensor-code
cd Pico/c/build/

Examples

C codes

  • go into the c directory.
cd ~/UV-Sensor-code/Pico/c/
  • Add the path of SDK.
export PICO_SDK_PATH=../../pico-sdk
Note that if the path of your SDK is different, you need to modify the command and use the correct path to export.
  • Generate Makefile and build.
cmake ..
make -j9
  • After building, a uf2 file is generated.
  • Press and hold the button of Pico, connect it to Raspberry Pi then release the button.
  • Copy/Drag the uf2 file to the portable disk (RPI-RP2) recognized.
cp main.uf2 /media/pi/RPI-RP2/

Micropython codes

Use in Windows

  • 1. Press and hold the BOOTSET button on the Pico board, connect the pico to the USB port of the computer through the Micro USB cable, and release the button after the computer recognizes a removable hard disk (RPI-RP2).
  • 2. Copy the rp2-pico-20210418-v1.15.uf2 file in the python directory to the recognized removable disk (RPI-RP2).
  • 3. Open Thonny IDE (Note: Use the latest version of Thonny, otherwise there is no Pico support package, the latest version under Windows is v3.3.3).
  • 4. Click Tools->Settings->Interpreter, select Pico and the corresponding port as shown in the figure.

Pico-lcd-0.96-img-config.png

  • 5. File -> Open -> the corresponding .py file, click to run, as shown in the following figure:

Pico-Thonny-v1.15.jpg

Run in Raspberry Pi

  • Flash the Micropython firmware first
  • Open the Thonny IDE (Menu->Programming->Thonny Python IDE).
  • 【Optiional】If the Thonny IDE in the Raspberry Pi is not the new version that supports Pico, please upgrade it first.
sudo apt upgrade thonny
  • Configure Interpreter, choose Tools->Options... -> Interpreter, choose MicroPython(Raspberry Pi Pico) and the ttyACM0 port.
400
  • Click File -> Open.. and browser the micropython codes (UV Sensor.py) to run the codes

Expected result

  • Use the ultraviolet ray of the currency detector to irradiate the sensor, and the serial port will output the corresponding data.

Note: Ultraviolet rays are harmful to the human body, with the most obvious effects on the skin and eyes. DO NOT irradiate the eyes or skin directly while using.

STM332 User Guide

The STM32 examples are based on the STM32F103RBT6 and the STM32H743. The connection provided below is based on the STM32F103RB. If you need to use other STM32 boards, you may need to change the hardware connection and port the code yourself.

Hardware connection

Sensor STM32 Description
VCC 3.3V Power input
GND GND Power ground
AOUT PA6 Analog output
UV STM32 2.jpg

Examples

The examples are developed based on the HAL libraries. Download the Demo codes archive to your PC. Unzip and find the STM32 project from UV-Sensor-code\STM32\STM32F103RB\MDK-ARM.

  • Open the V Sensor.uvprojx file by Keil.
  • Build and the project.
  • Program the project to your STM32 board.
  • Connect the UART1 of your STM32 board to the PC and check the serial data by SSCOM software.
UV STM32 1.jpg

Arduino User Guide

The Arduino example is written for the Arduino UNO. If you want to connect it to other Arduino boards, you may need to change the connection.

Hardware connection

Sensor Arduino Description
VCC 5V Power input
GND GND Power ground
AOUT A0 Analog output
UV Arduino 2.jpg

Examples

  • Download the demo codes to your PC and unzip
  • Install the Arduino IDE in your PC
  • Go into UV-Sensor-code/Arduino/UV_Sensor
  • Run the UV_Senosr.ino file
  • Select the correct Board and the Port
MQ5 Arduino 1.jpg
  • Build the project and upload it to the board.
  • Open the serial monitor of the Arduino IDE or the SSCOM software and check the serial data.
UV Arduino 1.jpg

Resources

FAQ

 Answer:
The output voltage of the UV sensor increases with the enhancement of the ultraviolet intensity. And the maximum output voltage of the UV sensor is 2-3V. When the ultraviolet intensity is not strong, the output voltage may be in the range of 0.01-0.1V. It's recommended to test the module outdoor or irradiate the module with UV LED.
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Tilt Sensor

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UV Sensor

UV-Sensor
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