New service makes it faster and easier to
create digital twins of real-world systems like buildings,
factories, industrial equipment, and production lines—helping many
more customers build applications that improve operational
efficiency and reduce downtime
Carrier, Siemens, and Accenture among customers
and partners using AWS IoT TwinMaker
Today, at AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), announced AWS IoT
TwinMaker, a new service that makes it faster and easier for
developers to create digital twins of real-world systems like
buildings, factories, industrial equipment, and production lines.
Digital twins are virtual representations of physical systems that
are regularly updated with real-world data to mimic the structure,
state, and behavior of the objects they represent. AWS IoT
TwinMaker makes it easy for developers to integrate data from
multiple sources like equipment sensors, video cameras, and
business applications, and combines that data to create a knowledge
graph that models the real-world environment. With AWS IoT
TwinMaker, many more customers can use digital twins to build
applications that mirror real-world systems to improve operational
efficiency and reduce downtime. There are no up-front commitments
or fees to use AWS IoT TwinMaker, and customers only pay for the
AWS services used. To get started with AWS IoT TwinMaker, visit
aws.com/iot-twinmaker.
Industrial companies collect and process vast troves of data
about their equipment and facilities from sources like equipment
sensors, video cameras, and business applications (e.g. enterprise
resource planning systems or project management systems). Many
customers want to combine these data sources to create a virtual
representation of their physical systems (called a digital twin) to
help them simulate and optimize operational performance. But
building and managing digital twins is hard even for the most
technically advanced organizations. To build digital twins,
customers must manually connect different types of data from
diverse sources (e.g. time-series sensor data from equipment, video
feeds from cameras, maintenance records from business applications,
etc.). Then customers have to create a knowledge graph that
provides common access to all the connected data and maps the
relationships between the data sources to the physical environment.
To complete the digital twin, customers have to build a 3D virtual
representation of their physical systems (e.g. buildings,
factories, equipment, production lines, etc.) and overlay the
real-world data on to the 3D visualization. Once they have a
virtual representation of their real-world systems with real-time
data, customers can build applications for plant operators and
maintenance engineers that can leverage machine learning and
analytics to extract business insights about the real-time
operational performance of their physical systems. Because of the
work required, the vast majority of organizations are unable to use
digital twins to improve their operations.
AWS IoT TwinMaker makes it significantly faster and easier to
create digital twins of real-world systems. Using AWS IoT
TwinMaker, developers can quickly get started building digital
twins of devices, equipment, and processes by connecting AWS IoT
TwinMaker to data sources like equipment sensors, video feeds, and
business applications. AWS IoT TwinMaker contains built-in
connectors for AWS IoT SiteWise, Amazon Kinesis Video Streams, and
Amazon S3 (or customers can add their own connectors for data
sources like Amazon Timestream or Snowflake) to make it easy to
gather data from a variety of sources. AWS IoT TwinMaker
automatically creates a knowledge graph that combines and
understands the relationships of the connected data sources, so it
can update the digital twin with real-time information from the
system being modeled. Customers can import existing 3D models (e.g.
CAD and BIM files, point cloud scans, etc.), directly into AWS IoT
TwinMaker to easily create 3D visualizations of the physical
systems (e.g. buildings, factories, equipment, production lines,
etc.) and overlay the data from the knowledge graph on to the 3D
visualizations to create the digital twin. Once the digital twin
has been created, developers can use an AWS IoT TwinMaker plugin
for Amazon Managed Grafana to create a web-based application that
displays the digital twin on the devices plant operators and
maintenance engineers use to monitor and inspect facilities and
industrial systems. For example, developers can create a virtual
representation of a metals processing plant by associating data
from the plant’s equipment sensors with real-time video of the
various machines in operation and the maintenance history of those
machines. Developers can then set up rules to alert plant operators
when anomalies in the plant’s furnace are detected (e.g.
temperature threshold has been breached) and display those
anomalies on a 3D representation of the plant with real-time video
from the furnaces, which can help operators make quick decisions on
predictive maintenance before a furnace fails. With AWS IoT
TwinMaker, many more customers can use digital twins to build
applications that simulate their real-world systems to improve
operational efficiency and reduce downtime.
“Customers are excited about the opportunity to use digital
twins to improve their operations and processes, but the work
involved in creating a digital twin and custom applications for
different use cases is complicated, expensive, and prohibitive for
most,” said Michael MacKenzie, General Manager, AWS IoT. “AWS IoT
TwinMaker includes the built-in capabilities most customers need
for their digital twins, such as connecting to data across
disparate sources, modeling physical environments, and
visualization of data with spatial context. With today’s launch of
AWS IoT TwinMaker, more customers can now have a holistic view of
their industrial equipment, facilities, and processes to monitor
and optimize all of their operations in real time.”
AWS IoT TwinMaker is available today in preview in US East (N.
Virginia), US West (Oregon), Asia Pacific (Singapore), and Europe
(Ireland) with availability in additional AWS Regions coming
soon.
Carrier Global is a leading provider of healthy, safe,
sustainable, and intelligent building and cold chain solutions.
“Today, our objectives extend beyond HVAC and refrigeration and
into the development of healthy, safe, and sustainable intelligent
buildings. With our Abound platform, we aggregate building
performance data from a variety of systems and sensors, offering
customers real-time insight into their connected spaces. Enhancing
this platform with digital twins of buildings for their owners and
operators has been a top priority for us,” said Dan Levine, Sr.
Director of Digital and Cloud at Carrier. “However, in-house
development of that capability threatened to be difficult, costly,
and slow. With AWS IoT TwinMaker, we see a key enabler for us to
significantly accelerate the technology strategy of our Abound
platform. AWS IoT TwinMaker will help our development team focus on
rapidly creating differentiated customer outcomes rather than the
heavy lifting of digital twin data abstraction and adding 3D
visualization to our solutions.”
Siemens is a leader in providing software to create
comprehensive digital twins for design, manufacturing, and service.
“We are excited to work with AWS and expand connections between our
Xcelerator portfolio and AWS services including the new AWS IoT
TwinMaker service. Through this collaboration, developers will be
able to create digital twin solutions that can scale from the
simplest to the most complex use cases by combining our rich
application services for low-code, visualization, simulation, and
industrial IoT with AWS IoT TwinMaker and other AWS services,” said
Brenda Discher, Senior Vice President for Industry Marketing &
Strategy at Siemens Digital Industries Software. “As part of our
open ecosystem, this expanded collaboration between AWS and Siemens
will increase the breadth of services we offer so together we can
deliver new digital twin solutions that help our customers
accelerate their digital transformation.”
Accenture is a global professional services company with leading
capabilities in digital, cloud, and security. “Digital
transformation of manufacturing is a huge opportunity for our
clients who often face challenges with fragmented, siloed, and
unstructured industrial data, leaving many proofs of concept
unscalable,” said Maikel van Verseveld, Global Technology Lead for
Digital Manufacturing & Operations, Industry X, at Accenture.
“As our clients look to start and scale their digital manufacturing
journey, having tools that can quickly address these challenges is
vital. With AWS IoT TwinMaker, they can now easily create digital
twins for a more contextualized, data-driven, and real-time view of
their manufacturing operations from disparate IT and OT systems,
allowing end users to make better decisions and optimize
operations. Through the Accenture AWS Business Group, we have been
able to start leveraging AWS IoT TwinMaker and we are excited for
the value it can bring our customers.”
INVISTA, a subsidiary of Koch industries, is a leading global
manufacturer of fiber, resins, and chemical intermediates. “Working
closely with AWS over many years, we have been building a strong
analytics and data science capability to support our manufacturing
operations and find new and better ways to improve our products and
processes,” said Jerry Grunewald, Vice President of Operations
Innovations at INVISTA. “Our field personnel need to efficiently
address operational notifications and alerts from the plant floor,
however, equipment information is distributed across different
systems. Using AWS IoT TwinMaker, we can now build a digital twin
of our manufacturing operations into a Connected Worker application
that brings this disparate information into a consolidated view
that represents our real environment. This has improved
productivity and efficiency in field operations, supports
environmental health and safety performance, and provides further
opportunities to leverage employee expertise in finding new and
better ways to create value for our customers.”
About Amazon Web Services
For over 15 years, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud offering. AWS has been
continually expanding its services to support virtually any cloud
workload, and it now has more than 200 fully featured services for
compute, storage, databases, networking, analytics, machine
learning and artificial intelligence (AI), Internet of Things
(IoT), mobile, security, hybrid, virtual and augmented reality (VR
and AR), media, and application development, deployment, and
management from 81 Availability Zones within 25 geographic regions,
with announced plans for 27 more Availability Zones and nine more
AWS Regions in Australia, Canada, India, Indonesia, Israel, New
Zealand, Spain, Switzerland, and the United Arab Emirates. Millions
of customers—including the fastest-growing startups, largest
enterprises, and leading government agencies—trust AWS to power
their infrastructure, become more agile, and lower costs. To learn
more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Amazon strives to
be Earth’s Most Customer-Centric Company, Earth’s Best Employer,
and Earth’s Safest Place to Work. Customer reviews, 1-Click
shopping, personalized recommendations, Prime, Fulfillment by
Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire
tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology,
Amazon Studios, and The Climate Pledge are some of the things
pioneered by Amazon. For more information, visit amazon.com/about
and follow @AmazonNews.
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