| I&T Solution |
Smart Detection of Railway Point Machines
(REF: S-1480) |
| Trial Project |
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| Solution Feature |
- Forecast: The ability to predict the value of a sensor hours or days into the future, to enable early operator intervention
- Anomaly Detection: The ability to detect anomalous sensor signals, which can be precursors to an upcoming problem
- Correlation Finder: The ability to discover operational relationships that you never knew existed. This accelerates the problem solving process.
- Recommendation Engine: Based on the interests of the end user, recommend content that will assist in the problem solving process.
- Social Networks: Able to learn past experience with failure identified, suggest end user with best resolution in a real time to prevent old failure happen again.
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| Trial Application and Expected Outcome |
- The PoC trial will consist of several parts.
- 1. understanding the failure modes of the point system,
- 2. implementation of sensors and generation of data from the sensors, including Vibration, Temperature, Current, Acoustic, Pressure, Optical and Proximity sensors..
- 3. data analysis and ML model creation by the data scientists,
- 4. final ML model proposed to predict future point system failure events.
- The results will be the proposed ML model, software platform solution, and the sensors/networking required to deliver a full solution at scale for post-PoC phase.
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| Additional Solution Information |
Smart Detection of Railway Point Machine Proposal by Beyond Limits.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | BEYOND LIMITS HONG KONG LIMITED | | Address | : | Unit 336, 19W, Hong Kong Science Park, Shatin, NT, Hong Kong | | Contact Person | : | Hilda Li |
| Position | : | Technical Sales Director | | Tel | : | 93160397 | | Email | : |
hli@beyond.ai | | Webpage | : | beyond.ai |
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