'A dozen' big cities are designing or considering 'digital twins'

guest · Oct 28, 2021

'A dozen' big cities are designing or considering 'digital twins'
October 28, 2021
https://statescoop.com/big-cities-digital-twins/

New York City, Las Vegas and Phoenix have all recently committed to building virtual models of their downtown districts, hoping to develop new strategies to reduce carbon emissions and improve energy efficiency. But executing on the nascent “digital twin” technologies won’t be simple, experts told StateScoop.

Cityzenith, a Chicago-based data visualization company founded in 2009, is behind the rise of the virtual model technology, with “at least a dozen” U.S. cities considering piloting the technology in the next six months, CEO Michael Jansen told StateScoop. Jansen offers the data aggregation and visualization software for free to cities, universities and nonprofits.
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The technology that CityZenith offers allows any sensor in a building that measures emissions, air quality, water and power consumption, noise or other factors to transmit data back into a central repository for analysis. The aggregated data is then used to create a “digital twin” of the building, or buildings, enabling everybody from academics and policymakers to building owners to simulate tests on how to reduce emissions without spending money to do it.

Research on the technology from the consulting firm Ernst and Young this year revealed that digital twins can reduce greenhouse gas emissions in buildings by 50%, while also improving efficiency.
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The concept of digital modeling isn’t new, Jansen said, but until recently, technology hadn’t caught up to the idea of community-sized digital models. It’s a “perfect storm” of technology and a nationwide commitment toward reducing carbon emissions that’s recruiting cities and infrastructure-focused nonprofits, Jansen said.
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guest · Dec 6, 2021

AWS introduces IoT TwinMaker, a new service to easily create digital twins
November 30, 2021

At AWS’s re:Invent conference this morning, the company announced AWS IoT TwinMaker, a new service that makes it easy to create and use digital twins of real-world systems.

For context, digital twins are virtual representations of things like buildings, factories, production lines and equipment that are regularly updated with real-world data to mimic the behavior of the systems they represent.
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The company outlines that with this new service, users can create digital twins by connecting data from sources like video feeds and applications without having to move the data into a single repository.

“You can use built-in data connectors for the following AWS services: AWS IoT SiteWise for equipment and time-series sensor data; Amazon Kinesis Video Streams for video data; and Amazon Simple Storage Service (S3) for storage of visual resources (for example, CAD files) and data from business applications. AWS IoT TwinMaker also provides a framework for you to create your own data connectors to use with other data sources (such as Snowflake and Siemens MindSphere),” AWS explained in a blog post about the new service.
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AWS notes that the service comes with a plugin for Amazon Managed Grafana, which is a managed service for the open dashboard and visualization platform from Grafana Labs.

AWS IoT TwinMaker is available today in preview in Northern Virginia, Oregon, Ireland and Singapore, with availability in additional AWS Regions to come.
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AWS: Announcing AWS IoT TwinMaker (Preview), a service that makes it easier to build digital twins

Today, we are announcing AWS IoT TwinMaker, a new service that makes it faster and easier for developers to create and use digital twins of real-world systems to monitor and optimize operations. Digital twins are virtual representations of physical systems such as buildings, factories, production lines, and equipment that are regularly updated with real-world data to mimic the structure, state, and behavior of the systems they represent. Although digital twin use cases are many and diverse, most customers want to get started by easily using their existing data to get a deeper understanding of their operations.
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'A dozen' big cities are designing or considering 'digital twins'

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