Engineering & Innovation

Project GreenLight

A UniSC Thesis Project by Tyler Fratus  ·  TPS Instruments

Smarter sensor testing through automation - exploring how industrial communication, data logging, and software can improve the consistency and traceability of water quality sensor production.

The Project

Tyler Fratus, TPS Instruments

Tyler Fratus - TPS Instruments & UniSC

At TPS, we love seeing engineering ideas move from theory into the real world.

That's exactly what's happening with Project GreenLight - a University of the Sunshine Coast (UniSC) thesis project by TPS team member Tyler Fratus, focused on automating the production testing and calibration of water quality sensors.

Working alongside UniSC academic advisor Dr David Alonso-Caneiro and TPS industry advisor Greg Smyth, the project explores how automation, industrial communication, and data logging can improve consistency and traceability in sensor manufacturing.

TF
Tyler Fratus Engineer, TPS Instruments & UniSC Student
DA
Dr David Alonso-Caneiro Academic Advisor, UniSC
GS
Greg Smyth Industry Advisor, TPS Instruments

Hear From Tyler

What is Project GreenLight?

Tyler breaks down what the project is and which aspect of the project he's most excited about.

Tyler explains Project GreenLight

How It Works

The Automated Testing Pipeline

The new system replaces individual, manual calibration with a parallel automated pipeline - multiple probes tested simultaneously, results logged directly to a database. Here's how the pieces connect.

Probe 1 WP sensor Probe 2 WP sensor Probe 3 WP sensor Probe N WP sensor ··· Automated control system Industrial protocols · parallel calibration · embedded software Calibration engine Runs all probes simultaneously Data logging & database Timestamps · conditions · traceability Calibrated, tested probe Verified quality record

Deep Dive

Q&A with Tyler

We sat down with Tyler to get the full picture - from the technical challenges he's solving to what drew him to this kind of work in the first place.

Q2 What challenge in the current production process are you trying to improve?

Right now there's significant manual involvement from our technicians. Probes are calibrated individually, and each measurement and validation step gets recorded manually. It works - but it's time-consuming, and it limits how many probes we can test at once. The current process is difficult to scale without just adding more hands to it.

The improvement would run calibration automatically for multiple probes in parallel and log the results digitally. It saves a lot of time and reduces the potential for human error.

Q3 What are the main technologies involved in the new system?

The new system brings together several areas of engineering. Industrial communication protocols handle the transfer of data between the probes and the control system. Data logging and database systems capture everything in a single program. On the software side, there are coding changes that allow multiple probes to run calibration in parallel - along with embedded systems that tie it all together.

Q4 How could this improve production or quality control for water quality sensors?

The biggest win is consistency. Every probe follows the exact same procedure, which reduces variability and makes testing far more reliable. It also improves data management - if you ever need to go back and verify a result, the data is right there.

From a staffing perspective, it frees up our technicians from repetitive manual tasks. Less time spent on routine calibration, and more capacity to focus on other work that needs their expertise.

Q5 One part of the project focuses on traceability. Why does recording calibration data matter so much?

Traceability is critical in manufacturing because it ensures each probe's calibration history can be verified and reproduced. By recording timestamps, temperature conditions, and reference solution details, we can fully document exactly how each probe was tested.

That record becomes invaluable for tracking long-term performance trends, investigating any potential issues that arise in the field, and maintaining compliance with quality standards.

Q6 What made you interested in doing your thesis with TPS?

Doing a thesis with TPS meant working on a real engineering problem in a real industry environment, rather than something purely theoretical. TPS is a specialised, tight-knit company - you get to work closely with engineers and see exactly how everything is developed and manufactured. That kind of access is rare.

It also helps that TPS sensors are used extensively in environmental monitoring. Knowing that the work you're doing contributes to better data on our waterways and ecosystems - that adds a real sense of purpose to it.

Q7 What made you choose this topic over others?

Working at TPS gave me a front-row seat to the production process for our water quality probes. It became clear fairly quickly that this was an area where automation could make a genuine, meaningful impact. The idea grew out of that experience - seeing a real gap and having the chance to do something about it.

The topic also spans multiple areas of electrical engineering - automation, instrumentation, and data systems - which made it an ideal project to tie together everything I've been studying.

What This Means

Projects like this show what's possible when universities and manufacturers work together. By giving students access to real engineering challenges, we're not just building better systems - we're helping develop the next generation of Australian engineers.