I&T Solution |
Aboveground Gas Pipes Health Condition Analysis System
(REF: S-0955) |
Trial Project |
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Solution Feature |
- Allow manual input of maintenance data or batch excel, csv and JSON upload.
- Analyse a large amount of internal maintenance data and external data (e.g. environmental data) by big data analytics technology.
- Define contributing factors to both LPG and town gas pipes’ health condition, their correlations and impacts by regression analysis models.
- Build classification and prediction models for pipes health condition analysis with application of machine learning technology.
- Visualise pipes health condition and analysed results by user interfaces or interactive charts.
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Trial Application and Expected Outcome |
- User interfaces for batch excel, csv, JSON data upload or manual input.
- Data Analytics engine for LPG and town gas pipes health condition indicator (say, level 1-5) and maintenance measure recommendation.
- PRISMA engine for transformation of unstructured data to structured data.
- Alert system for monitoring gas pipes health condition change (e.g. maintenance reminder).
- Dashboard of health condition and distribution of gas pipes.
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Additional Solution Information |
ClusterTech Aboveground gas pipes health condition analysis solution for EMSD v1.pptx.pdf
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Info on I&T Solution Provider |
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