HEXio Technologies Presents AIoT Railway Solution to KTM, Setting the Stage for Future Collaboration

HEXio Technologies recently showcased its innovative AIoT (Artificial Intelligence of Things) railway solution to KTM (Keretapi Tanah Melayu), one of Malaysia’s key railway operators. The presentation marks another significant step forward in HEXio’s mission to enhance railway systems across the country with cutting-edge AI and IoT capabilities.

A Vision for Smart Railway Operations

During the presentation, HEXio demonstrated how its AIoT solution can revolutionize KTM’s operations by offering real-time data insights and predictive maintenance tools. The technology is designed to seamlessly integrate with KTM’s existing systems, providing operators with the ability to monitor the condition of trains, track performance metrics, and detect potential issues before they occur. This non-invasive approach ensures that current operations remain uninterrupted while allowing KTM to harness the power of AI for smarter decision-making.

Key Issues Facing KTM

KTM, a major operator in Malaysia, runs intercity train services that often encounter challenges, especially with network coverage. Some of the critical issues highlighted during the presentation include:

  • Train Derailment: In the event of a derailment, the train driver is not immediately aware of the issue, leading to severe damages.
  • Parted Cargo Wagons: If a cargo wagon becomes detached, it often goes unnoticed, creating significant risks for both the train and the next train on the track.
  • Manual CCTV Data Collection: Currently, collecting CCTV footage requires manually removing SD cards, a process that is time-consuming and prone to errors.

HEXio’s Innovative AIoT Solution

HEXio presented a comprehensive IoT-based system designed to address each of these challenges using cutting-edge Ultra Low Power (ULP) wireless communication. The system offers the following capabilities:

  • Real-time Alarm for Derailment or Parted Wagons: The system provides an immediate alarm to the train driver in the event of a derailment or parted cargo. This local alarm uses wireless communication and does not rely on internet connectivity, ensuring instant alerts.
  • Comprehensive IoT Dashboard: The system includes a dashboard that displays all relevant telemetry data and alarms. Even when the train is outside of network coverage, the system caches the data and uploads it to the cloud when internet access is available.
  • Cloud-Based CCTV Retrieval: To eliminate manual SD card collection, the system allows operators to request CCTV footage remotely through a 3G connection once coverage is restored.

How the System Works

HEXio’s solution integrates both permanently installed components and driver-issued devices. Each driver is given a wireless device responsible for communicating with the installed IoT nodes on the train. In case of an alarm, the driver is immediately notified of the issue, enabling a quicker response.

The system operates on the 2.4 GHz wireless domain, ensuring compliance with wireless regulations in Malaysia and beyond. This feature is particularly useful as KTM’s trains often operate outside Malaysian territories.

Positive Reception from KTM

The presentation was well-received by the KTM team, who expressed interest in the non-invasive, data-driven approach of the AIoT solution. By addressing critical operational issues without relying on constant network connectivity, HEXio’s technology offers a smart, reliable way to improve safety and efficiency across KTM’s intercity services.

Next Steps: Moving Towards Industry 4.0

HEXio and KTM are now exploring further collaboration opportunities, including a potential Proof of Concept (PoC) deployment to showcase the system in a live operational environment. This would allow KTM to experience firsthand the transformative power of AIoT in ensuring safer, more efficient rail operations.

As HEXio continues to lead the way in Industry 4.0 solutions, we look forward to further advancements and collaborations that will reshape the future of railway management.

Share this article