Intelligent Data Hubs for Smart Cities

An intelligent data hub is a compilation of data from various sources that are put together for sharing, dissemination, and subsetting. Typically, a hub and spoke architecture is used for this data distribution. Data-HUBs act as analytical data warehouses created for a specific purpose, such as optimizing business structures and running smart cities.

Intelligent Data Hubs and Smart Cities

When people think of a "smart city," these are just a few examples of connected and intelligent services that come to mind. Several cities throughout the planet are making progress in implementing intelligent digitization of government, healthcare, public transit, communications, and renewable energy sources. These advancements are no longer merely theoretical possibilities.

The flow of standardized data between applications, sensors, and other third-party services is a critical component of providing these smart services, including the delivery of individualized citizen interaction. This is essential to guarantee a cooperative and scalable environment that gives the relevant data to the right partner in the appropriate context.

Researchers refer to the level that allows for this data flow architecturally as the "intelligent data hub" and considers it to be the key component enabling managers of smart cities to create long-lasting intelligent capabilities. How do smart cities benefit from intelligent data hubs?

Intelligent Data Hubs Uses

Smart cities utilize intelligent hubs to enable interoperability across many silos for expanded collaboration. This hub might be created specifically for a city or centered on a prototype such as BSI PAS 182, which provides a framework for organizing data from many sources.

Data sets can be found and integrated using PAS 182 to create a more accurate picture of a city population's needs and behaviors. If a capability already exists, the data hub won't replace it; instead, it will allow mapping between the data hub and the parent modules, allowing data to be shared in a uniform format.

Below are smart city functions made possible by intelligent data hubs;

• Requesting a single platform to provide a range of connected and contextualized insights using:
• Raw data (historical, near-historical, and real-time); for instance, the CO2 level now, in the last few minutes, an hour, or a week.
• Data that has been carefully curated, such as traffic density at times of high CO2
• Business-related and context-rich data, such as the time Mr. X should leave his house to arrive at work by 10.45 AM
• Analyzing large data sets to produce insights that can be put to use, for as monitoring independent seniors or detecting and responding to fires.
• Enabling access to city data for innovations driven by city stakeholders, including outsiders
• Promoting service innovation through the coherent system, allowing for more resident-based and demand-centric delivery
• Presenting a portfolio of services (APIs) that are accessible and deployed based on subscriptions, so facilitating data virtualization, where the data hub becomes a pass-through level. To expose APIs, one can use platforms like RDF. The unified data hub may be accessed by smart city apps using these structured and standardized interfaces, which can then be used to convert existing and new applications into intelligent ones.

Intelligent Data Hub Applications

Assisting in the monitoring and control of CO2 levels in the city both in real-time and over the course of several hours, days, or weeks

Assisting office workers with travel planning by taking into account road congestion, transport schedules, and commuter loads

Ensuring the security of independent seniors by monitoring their house movements while they are awake and notifying family members or emergency services if there is no movement

Enabling automatic fire detection and ambulance or other emergency service notifying in the event of a fire

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