Peeranut Noonurak

MINOS Project - Real-Time Data Service for Emergency Vehicles Developing backend solutions for the MINOS project to forecast railway crossing statuses in real-time, optimizing emergency vehicle route planning. Working with Kubernetes, Helm, RabbitMQ, Python, XML, SOAP, and OPCUA. The project enables emergency services to avoid delays by predicting crossing states in advance.

Developed OPC UA Information Model based on EULYNX Standard Diagnostics Interface (SDI) interface for signaling subsystems (points, light signals, I/O modules, detection systems, level crossings), using UML diagrams in UaModeler. Utilized XML for OPC UA server implementation in Python, leveraging Pandas, Free OPC UA, and Asyncio. Containerized with Docker, managed with GitHub, and orchestrated deployment via Kubernetes and Helm for scalable, efficient server management

Continuing the development of the Standardized Diagnostics Interface (SDI) for Control-Command & Signaling Systems (CCS) as part of the EU-Rail's System Pillar Project, while preparing for a master thesis focused on railway infrastructure digital transformation.

Digital Railway Infrastructure Student Track Program - Contributing to the digital transformation of the EU-Rail's System Pillar Project by developing a Standardized Diagnostic Interface (SDI) and Standard Maintenance Interface (SMI) for control-command and signaling systems (CCS) at DB Netz AG, using OPC UA technology to improve interoperability across European railway infrastructure.

1. MRT Pink Line Monorail Project: Managed design & validation of power supply systems, and coordinated testing and SCADA activities to align with project timelines. 2. Chiang Mai Red Line Tram Project: Led traction simulation studies to optimize the traction power supply system and provided design criteria for feasibility studies.

Studying Industrial Informatics with a specialization in Industrial Cyber-Physical Systems (ICPS) including industry 4.0-Compliant Solutions , focusing on the integration of computation with physical processes, effective data utilization, and sustainable management of industrial environments. Proficient in addressing challenges in computing, control, mechatronics, communications, and software programming for CPS ecosystems.