Using FIWARE Data Models and AWS ?Capabilities to enable the customized data for Smart Building ?
Prerequisites for FIWARE and AWS?
Prerequisites for FIWARE and AWS?
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FIWARE provides standard data models for managing context information, which can include data related to building management, energy consumption, occupancy, and more. @snake game
AWS has recently joined as a platinum member of the FIWARE Foundation so we can expect you to have full support soon.
Besides this, Could you elaborate a bit more on this question?
You can use the smart building data model to some extent or request an extension if your attributes are general enough and convenient for other uses cases.
Feel free to ask at smartdatamodels.org
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This response was useful for me, I was happy to learn about it.
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Since AWS just become a platinum member of the FIWARE Foundation, we can anticipate that you will soon have full support.
In addition, could you maybe provide a little more detail on this query? monkey mart
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Enabling Customized Data for Smart Buildings with FIWARE & AWS
FIWARE data models and AWS capabilities can offer a powerful solution for creating customized data experiences in smart buildings. Here's how:
FIWARE Data Models:
Standardization: FIWARE provides standardized data models like Building Management (Building) and Smart Energy (Energy) for capturing and managing information from various smart building components. Interoperability: These models enable seamless data exchange between different sensors, devices, and applications within the building, fostering a unified data ecosystem. Customization: FIWARE models can be extended to integrate building-specific data points, allowing for customized data collection and analysis tailored to unique needs. AWS Capabilities:
Scalability and Storage: AWS cloud services provide the scalability and storage capacity needed to handle the vast amount of data generated by smart buildings. Data Analytics: Leverage AWS tools like Amazon Kinesis and Amazon Redshift for real-time data processing and advanced analytics to extract valuable insights from building data. Customization & Integration: AWS allows for building custom dashboards and applications to visualize data and enable personalized experiences for building occupants. Combining FIWARE and AWS:
By leveraging FIWARE data models as the foundation for data capture and structure, and then utilizing AWS capabilities for scalable storage, analytics, and application development, smart building owners can achieve:
Energy Efficiency: Gain insights into energy consumption patterns and optimize building operations for cost savings and reduced environmental impact. Improved Comfort: Analyze data on temperature, humidity, and lighting to personalize occupant comfort levels within the building. Predictive Maintenance: Utilize data analytics to predict potential equipment failures and schedule preventive maintenance, minimizing downtime and disruptions. Conclusion:
The combination of FIWARE's data modeling capabilities and AWS's cloud services offers a robust and flexible platform for creating customized data experiences in smart buildings. This empowers owners and occupants to gain valuable insights, optimize building operations, and create a more efficient and comfortable environment.
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Asked: 2020-12-03 14:26:25 +0100
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Last updated: May 31 '22
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