| I&T Solution |
Smart Monitoring of Railway Point Machines
(REF: S-1481) |
| Trial Project |
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| Solution Feature |
- Real-time Data Monitoring: Continuously monitor the operational data of railway point machines, including electrical readings providing real-time insights into their performance.
- Predictive Analytics: Utilize AI algorithms to analyze the collected data and identify pre-failure symptoms associated with point machine failure modes.
- Multi-network Connectivity: Employ a combination of LoRa network and 5G technologies for reliable and efficient data transmission.
- Indication and Alert System: Generate indications or alerts when pre-failure symptoms are detected, notifying relevant stakeholders promptly.
- Comprehensive Solution: Provide end-to-end solution components, including IoT sensors, hardware, software, and installation services.
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| Trial Application and Expected Outcome |
- Trial Execution: Conduct a pilot trial in designated environment to validate the performance and feasibility of the system.
- Performance Evaluation: Evaluate the system’s data quality, accuracy, and efficiency in capturing and analysing information.
- User Feedback: Gather feedback from engineers to assess usability, identify areas for improvement, and enhance user experience.
- R&D Result Realisation: Leverage trial insights to refine the analysis system and user interface, ensuring it aligns with project objectives.
- Scalability Assessment: Assess the scalability of the solution for wider implementation across various areas, optimising efficiency and impact.
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| Additional Solution Information |
Smart Monitoring of Railway Point Machines_compressed.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Kodifly Limited | | Address | : | Unit 661, 6/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park | | Contact Person | : | Henry Wong |
| Position | : | Director | | Tel | : | 6159 3979 | | Email | : |
henry@kodifly.com | | Webpage | : | kodifly.com |
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