| I&T Solution |
Smart Building Digital Platform
(REF: S-0204) |
| Trial Project |
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| Solution Feature |
- This solution is an integrated platform empowered by latest Artificial Intelligence (AI), Big Data technologies, Building Information Model (BIM) and Internet of Things (IoT) to conduct building performance visualization and building operation strategy optimization.
- Serving as a foundation for data consolidation and connection, this platform collects building data from Building Management System (BMS), HVAC System and deployed IoT sensors, while in the meantime retrieve external data like weather from open-source platform through APIs as well.
- With AI-empowered data analytics capabilities, this platform is able to conduct chiller plant optimization, energy demand forecasting, predictive maintenance and anomaly detection, etc. to transform the existing buildings with data-driven optimized settings.
- This platform's centralized data repository is able to be connected with external business intelligence portals like Tableau and Power BI to conduct data analytics and visualization. Various formats of data inputs are processed in Tableau/ Power BI to show operation insights through display portal.
- The platform supports customized features for divergent user preference with both on-premise deployment and cloud hosting to meet security concern and flexibility requirement. The intuitive visualization tools also adopt best UI practice to optimise operation workflows and improve operation efficiency.
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| Trial Application and Expected Outcome |
- On the deployment of Neuron platform, real-time building data from various equipment including chiller plant, AHU and ventilation fans will be collected automatically through using open protocols like BACnet and Modbus. The platform then consolidates captured statistics in a data lake for storage and various analytics.
- In Neuron platform, the collected data is filtered and clustered before dropping into Big Data analytics models, where the correlation between parameters and hidden patterns are uncovered to identify potential Energy Saving Opportunities (ESOs) and suggest for optimised operation strategies to achieve consumption reduction.
- Through using business intelligence software like Tableau and Power BI, the data analytics outputs can be visualized and connected in minutes to support fast and informed decisions with the transformation from unstructured data to actionable insights.
- After carrying out the implementation of energy saving operations, the post-implementation data collected back will be visualized on Neuron’s built display portal to make comparison and evaluate the performance on energy conservation.
- To maintain the most efficient operation environment, an on-going commissioning process is necessary which starts with continuously data collection on parameters including chiller plant COP and consumption bill, etc. The performance evaluation and gap with expectation will then be analysed for further improvements.
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| Additional Solution Information |
Arup Neuron Introduction for EMSD InnoportalSubmission.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Ove Arup & Partners Hong Kong Limited | | Address | : | Level 5 Festival Walk 80 Tat Chee Avenue, Kowloon Tong, Kowloon Hong Kong | | Contact Person | : | Tracy Yeung |
| Position | : | Consultant | | Tel | : | 2908 4364 | | Email | : |
tracy.yeung@arup.com |
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