One of the papers, titled “Railway System Condition Assessment Outcomes and Action Plan Implementation,” was presented at the South African Heavy Haul Association (SAHHA) Annual Conference, held in Johannesburg in August. The conference focused on the theme "Positioning Heavy Haul for Success: Pit to Port" and provided a platform for discussing challenges and opportunities within the sector.
The white paper and its presentation were directly aligned with the conference's vision. Brian Monakali, chairman of SAHHA, stated: "The conference aimed to provide a platform for industry players to discuss our challenges, solutions, and opportunities, and pave a pathway toward achieving a globally competitive heavy haul system."
The paper resonated with these objectives, reflecting a commitment to addressing key sector issues.
As a key speaker on the second day of the conference, Vorster delivered an in-depth presentation on the heavy haul logistics value chain, highlighting the interdependencies of its various subsystems.
In another presentation, Raman focused on the integrated elements of railway infrastructure, emphasising four key areas:
1. Railway infrastructure assets
2. Condition assessment and monitoring
3. Asset management: Maintenance and rehabilitation
4. Implementation challenges
The critical role of rail transport within the logistics value chain was highlighted with Hatch experts advocating for the adoption of modern technologies to enhance asset management. "Optimising capacity and operational efficiencies within our rail networks necessitate well-defined strategies across all subsystems," Vorster stated.
"By leveraging digitalization, AI, and advanced monitoring technologies, we can manage asset conditions proactively and implement maintenance interventions with greater precision, increasing the overall value chain reliability."
In a parallel session on network capacity, Raman explored the technical complexities of these strategies, emphasizing the need for a multidisciplinary approach to railway asset management. Raman underscored the importance of collaboration among the civil, mechanical, electrical, and electronic engineering disciplines, alongside logistics and supply chain management, in maintaining a safe, reliable, and efficient heavy haul system.
The white paper and accompanying presentations outlined a roadmap for the condition assessment of ageing railway systems, many of which have exceeded 50 years of service. Vorster and his team demonstrated the application of advanced technologies, including sensors, unmanned aerial vehicles (UAVs), and AI, to conduct real-time condition monitoring and predictive maintenance.
These innovations are crucial for sustaining the infrastructure that underpins the heavy haul industry.
Modern condition monitoring systems provide maintenance engineers with precise data on physical asset conditions, such as temperature, acoustic signatures, and internal defects. The use of AI in processing large datasets further enhances decision-making processes, enabling timely interventions.
"The integration of AI and machine learning in condition assessment processes is essential for optimizing maintenance schedules and preventing system failures," Raman asserted.
As the conference drew to a close, Raman emphasised the importance of updating railway condition benchmarks to align with current operational realities. He advocated for continuous assessment and timely interventions to prevent asset failures and ensure the long-term viability of South Africa’s heavy-haul railway networks.
"Integrating modern technologies into our maintenance regimes is not merely an option but a necessity," Raman concluded. "Our approach must be data-driven and risk-focused, ensuring that every decision we make enhances the reliability and safety of our railway systems."
At the SAHHA 2024 Conference, Hatch presented two papers: one on using risk-based assessment to tackle asset decay in rail operations, co-authored by Anneri Robinson and Nathan Wilson; and another on private partnerships for rail capacity growth, authored by Herman Strauss, Nico Smit, and Khutso Sekgota.
