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Description
Greensoft is using the knowledge gained from research and practical experience with the aim to produce additional knowledge, that will directly help them to raise the level of technology readiness of the rail transport operation suite. The development of the the Ferodata AI-Enabled Rail Operations Suite, involves creating an artificial intelligence (AI) solution, AI assistant which will “learn” from available data, either in supervised or unsupervised modes, and will develop its own way of analysing data and arriving at a result. The system currently comprises 3 initial modules Ferodata SYS, Ferodata Box and Ferodata Mobile.
The final solution will empower rail transport operators to digitalize their core operations, revenue functions, and asset and crew management processes. Using AI, the solution will become state-of-the-art intelligent management assistant which is expected to provide for example real time position monitoring of railway traction park. Key activities include:
- Research which includes development, testing and analysis.
- Project management.
- Audit by external auditor.
- Publicity to promote the project.
The project is done in partnership with the Norwegian company ICB Digital. ICB Digital is an innovative Norwegian software company which focuses on enabling digitalization processes in industrial and manufacturing enterprises. ICB experts will work alongside the Greensoft Team to ensure that an optimal AI engine is developed. They will also test and perform quality assurance of the AI engine. Finally, they will make a translation package for Norwegian and Bulgarian language to make it accessible for those markets.
The project is expected to generate 4 new jobs by 2023. Greensoft will also submit a patent application for the software solution.
Summary of project results
The project aimed to address several key issues in the rail transport industry. These included the need for digitalization of rail transport operations, efficient management of vast amounts of data collected by railway systems, and the lack of advanced analytical tools for forecasting and optimization. The project specifically targeted the need for better scheduling of engineering works, improved efficiencies, and reduced costs across various train control, safety, supervision, infrastructure, and asset management system
The project involved the development of an AI-based solution for rail vehicles, traction power, train control, infrastructure networks, and operations. The activities included preparation of Software Requirements Specification (SRS): Developing functional and non-functional requirements, GIS platform specifications, and use cases. AI Engine Development: Creating an AI engine for source allocation and optimization in routing freight traffic. Data Flow Analysis: Analyzing data flow for trains in marshalling yards and railway stations to identify relevant patterns and optimize operations. Integration with Ferodata Platform: Integrating the AI engine with the existing Ferodata platform and developing GIS services. Intelligent Resource Management: Synchronizing all freight railway operations from long-term planning to execution in one AI-integrated platform. Testing and Go Live: Conducting comprehensive testing and deploying the AI-based railway management solution into a production environmen
The project achieved several significant outcomes thorugh the development of the AI-enabled rail operations suite enhanced the competitiveness of GreenSoft SRL by enabling them to offer a unique solution in the rail transport industry. Also, the AI engine improved operational efficiency by optimizing resource allocation, routing, and scheduling
The project contributed to a better environmental footprint by reducing CO2 emissions through more efficient management systems and the project led to an increase in the company''s turnover and net operational profit, as well as the creation of four new jobs
The beneficiaries of the project included railway operators, infrastructure managers, and the broader community benefiting from improved rail transport services
Summary of bilateral results
The project benefited significantly from having a partner, ICB Digital AS from Norway. The partner contributed their expertise in artificial intelligence and helped in the development and testing of the AI engine. The main results of the bilateral cooperation included the successful development of the AI-enabled rail operations suite and the integration of Norwegian and Bulgarian language modules. The plan to continue the collaboration involved further enhancements to the AI engine and exploring new markets for the IT solution.