Customer Stories
Hardt Hyperloop

How Hardt Hyperloop Accelerates Innovation with Marple

Discover how Hardt Hyperloop, a pioneer in high-speed transportation, uses Marple to streamline their data analysis process. From real-time testing to uncovering insights, Marple helps Hardt's engineers accelerate innovation and optimize their Hyperloop prototype. Hear from Gert Spek, Lead Engineer, about the transformative role Marple plays in their workflow. Watch now to see how Marple makes engineering smarter and faster!

Industry

Energy

Accelerating Innovation: How Hardt Hyperloop Uses Marple for Data Analysis

At Hardt Hyperloop, innovation is more than a mission—it's a reality in the making. This pioneering company, based in the Netherlands, is at the forefront of developing the Hyperloop, a groundbreaking transportation system that promises to revolutionize travel by combining magnetic levitation and high-speed tube transit. To bring this vision to life, Hardt relies on cutting-edge engineering and advanced data analysis tools, including Marple.

The Challenge: Managing Complex Testing Data

Building a prototype for a revolutionary system like the Hyperloop requires rigorous testing. Each test generates vast amounts of data, from vehicle configurations to performance metrics. For Hardt, analyzing this data quickly and collaboratively is critical to refining their technology and ensuring each prototype iteration meets performance standards.

Testing the Hyperloop involves running vehicles through tubes at high speeds, monitoring their performance in real time, and adjusting configurations based on findings. The data collected during these tests is both voluminous and complex, with signals coming from multiple sensors and systems. Without an efficient data analysis solution, Hardt’s engineers would struggle to extract meaningful insights and identify areas for improvement.

The Solution: Marple's Role in the Testing Workflow

Gert Spek, Lead Engineer at Hardt Hyperloop, describes how Marple is integral to their data analysis workflow:

"At Hardt, Marple is used for data analysis throughout the entire testing process. We start with testing goals, configure the vehicle, send it through the tube, and then immediately analyze the results in Marple."

Hardt's team uploads data to Marple immediately after a test. This enables them to:

  • Analyze Performance: Evaluate whether the prototype meets predefined criteria, such as speed, stability, and energy efficiency.
  • Identify Anomalies: Quickly detect any irregularities or unexpected behaviors and tag team members to investigate further.
  • Collaborate Remotely: Share insights across teams, regardless of location, making remote collaboration seamless.
  • Iterate Rapidly: Use insights from Marple to refine designs and prepare for the next round of testing.

Key Benefits of Using Marple

Marple empowers Hardt's engineers with:

  1. Speed: "You are looking at your data within seconds," says Gert. Rapid access to data means faster decision-making and troubleshooting.
  2. Collaboration: As a web-based tool, Marple allows multiple engineers to review and analyze data simultaneously, simplifying remote teamwork. Engineers can easily tag colleagues and share links to specific findings.
  3. Advanced Analysis: Engineers can calculate metrics directly within Marple, transforming raw data into actionable insights without needing additional software. This functionality acts like a built-in personal calculator for exploring data.
  4. Big Picture Insights: Marple’s visualization capabilities enable engineers to overlay multiple signals, compare time scales, and uncover relationships that might otherwise go unnoticed.

How Hardt Uses Marple Day-to-Day

Marple is a constant presence during Hardt's testing cycles. Whether it’s a live test or a deep dive into historical data, Marple’s web interface is always open. This accessibility ensures that engineers can:

  • Review live data during a test while others analyze previous runs for context.
  • Scale and compare signals to identify relationships between different variables.
  • Debug issues efficiently by having a comprehensive overview of system states.

Gert explains how Marple has become indispensable:

"Often you find relations that you otherwise would have missed because there's so much data to look at. Without quick overviews, you just can't find the issues."

Real-World Impact

For Hardt Hyperloop, speed and accuracy are non-negotiable. Marple’s ability to process data in real time and present it in a user-friendly interface has significantly improved their testing and development process. The platform allows engineers to:

  • Spot anomalies immediately and investigate root causes.
  • Optimize the performance of their Hyperloop prototype.
  • Collaborate effectively, even when working across different locations.

Gert highlights how Marple enhances their debugging capabilities:

"If you can see your entire system—all the states, all the things that might be going wrong—it helps you so much quicker to debug problems and find the root cause."

Recommendation for Engineers

When asked if he’d recommend Marple to other engineers, Gert’s answer is unequivocal:

"I would definitely recommend Marple. It speeds up the data analysis workflow. You can’t do proper engineering without the last step of looking at what is actually going wrong."

Conclusion

For companies like Hardt Hyperloop, where innovation is paramount, the ability to analyze and act on data efficiently can make all the difference. By integrating Marple into their workflow, Hardt’s engineers have gained a powerful ally in their mission to revolutionize transportation. As Gert Spek aptly puts it, Marple “definitely makes the life of an engineer easier.”

Four Key Benefits of Using Marple

  1. Speed: Immediate access to data for quick decision-making.
  2. Collaboration: Seamless teamwork, even across remote locations.
  3. Advanced Analysis: Built-in tools for metrics calculation and deep dives.
  4. Insightful Visualizations: The ability to overlay signals and uncover hidden relationships.

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