The Sixfab Pico LTE is a special board for making Internet of Things (IoT) devices. It puts together two important things: the Raspberry Pi Pico W and the Quectel BG95-M3 modem. This mix makes it a really useful tool for trying and building IoT projects. The Sixfab Pico LTE has all the parts you need and many cool features. It lets you play with Pico W and LTE technologies, so you can learn and try new things.
In today's rapidly advancing world, smart technologies are transforming various industries, including agriculture and industrial storage management. The Silo & Level Meter project combines the versatility of the HC-SR04 Ultrasonic Distance Sensor, the power of the Raspberry Pi Pico microcontroller, and the convenience of cellular connectivity through the Pico LTE SDK. This project aims to develop a battery-powered, IoT-enabled Silo & Level Meter that measures the distance of storage materials and sends real-time data to the AWS IoT platform. With this comprehensive guide, you'll learn the step-by-step process to create a cutting-edge solution for efficient and automated storage management.
Components Needed2. SparkFun Qwiic Ultrasonic Distance Sensor - HC-SR04
3. Waveshare UPS Module For Raspberry Pi Pico, Uninterruptible Power Supply
4. Micro USB cable and Jumper Wire
Official DocumentationFollow the details of steps 1, 2, and 3 in Sixfab's official documentation. There won't be too many details provided here.
1. Register Pico LTE boardLogin to connect.sixfab.com, then click on Assets from the side menu. Next, click on the Register Asset button to input your device information and save it. To enable cellular communication for your Pico LTE, set the Asset status to 'active' and save the changes.
Install MicroPython firmware on the Raspberry Pi Pico of the Pico LTE board.
Pico LTE SDK is an innovative framework that enables developers to integrate cellular communication capabilities into their embedded systems projects seamlessly.
Connect the HC-SR04 sensor to the SPI pins of the Pico LTE as shown in the image.
Firstly, to use the uninterruptible power supply (UPS) module with the Pico LTE, you need to solder a stacking header onto it. After soldering the header, you can easily stack the UPS module on top of it. The battery used is a rechargeable AA Li-ion 3.7V 900mAh Lithium-Ion Battery.
The 'micropython-hcsr04' driver was used for the HC-SR04 sensor in Micropython.This library code can control an ultrasonic sensor with a Pico.Its usage is quite simple; for detailed information, visit the GitHub page. To install it, all you need to do is upload the 'hcsr04.py' file to the Pico LTE.
Integrating Pico LTE with AWS IoT is explained step-by-step in Sixfab's official documentation on the 'AWS IoT Connection' page. By following the instructions carefully, you will be able to send data to the AWS IoT platform via a POST request over HTTP.
The provided code, when executed in Thonny IDE, will measure the vacant space in the grain silo in centimeters and transmit this data to the device dashboard created on AWS IoT Core.
If desired, after subtracting the measured distance from the total length of the silo, the amount of space occupied by the grain can be calculated, taking into account the container's volume. Thereby, as the quantity of grains varies, their weight can be calculated and this data can be directly sent to AWS.
Note
If the results from the ultrasonic module show a value close to 0 (Distance: -0.017 cm
), the wave sent could not be received. This could be due to a timeout of thetime_pulse_us()
function. For accurate measurement, the obstacle should have a flat surface.
By following this step-by-step guide, we have successfully created a Smart Silo & Level Meter using the Raspberry Pi Pico with cellular connectivity via the Pico LTE card. With AWS IoT integration, we can remotely monitor the silo's contents, enabling efficient storage management and ensuring timely actions based on the level data. This project serves as a versatile foundation for various IoT applications and provides valuable insights into using cellular connectivity and AWS for data management in IoT projects.
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