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2024

 Thesis Pte. Ltd. All Rights Reserved

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One thesis

Copyright © 

2024

 Thesis Pte. Ltd. All Rights Reserved

SHOWCASE

Multi-nodal soil movement detection

This is the view of an expoxied nodes. 80 said nodes were chained up for sensing over a long distance

01 // Overview

We have developed a comprehensive turnkey solution for long-distance multi-nodal sensing for our client, Mikrosense, to detect soil movement.

 

The design involved:

  • Precise tilt sensor using MEMS technology with our custom algorithm
  • CAN Bus for long-distance sensing up to 40m with 80 sensor nodes
  • Controller module for remote site reporting
  • Cloud-based IoT system for 3D visualisation and reporting

02 // Key Achievements

We successfully developed a long-distance multi-nodal sensing solution for soil movement detection for our client, Mikrosense. This system integrates precise tilt sensors using MEMS technology, a CAN Bus network for sensing up to 40 meters with 80 sensor nodes, a controller module for remote site reporting, and a cloud-based IoT system for 3D visualization and reporting.

03 // Challenges and Solutions

Two critical challenges presented in this project:

  1. Developing a CAN Bus solution for long-distance sensing with 80 sensor nodes posed significant challenges. One major challenge was ensuring reliable communication over extended distances, as signal integrity can degrade over longer cable runs. Additionally, managing many sensor nodes requires careful consideration of network load and data collision, necessitating robust algorithms to maintain data accuracy and prevent communication bottlenecks. We overcame these obstacles through innovative engineering and custom algorithm development, delivering a reliable and efficient sensing solution.

  2. Another substantial challenge was the development of a 3D visualization system for the sensor positions. During physical installation, sensors could experience various rotations and kinks, which would affect their alignment and readings. To ensure the sensor data remained accurate and meaningful, we had to create sophisticated algorithms to compensate for these physical irregularities. This involved accounting for the sensors’ orientations and positions in the 3D space and adjusting the data accordingly. Overcoming these challenges required innovative engineering and thorough testing, resulting in a reliable and efficient sensing solution that provides accurate soil movement detection and real-time 3D visualization.

04 // Impact and applications

Our work will transform the field of soil movement detection by replacing manual and error-prone sensing methods with a system that provides high spatial resolution data. This advancement eliminates the labor-intensive processes previously required, making it possible to achieve accuracy and detail that were once unattainable.