Virtual Singapore: A Platform to Solve Emerging and Complex Challenges

By Akio

Virtual Singapore

The National Research Foundation (NRF), Prime Minister’s Office, Singapore, and Dassault Systèmes have announced a cooperation to develop Virtual Singapore, a realistic and integrated 3D model with semantics and attributes in the virtual space.

Advanced information and modeling technology will allow Virtual Singapore to be infused with static and dynamic city data and information.

Click to TweetClick to Tweet: “#VirtualSingapore will allow citizens, business, government, researchers to model city data”

Virtual Singapore is a collaborative platform with a rich data environment and visualization techniques that will be used by Singapore’s citizens, businesses, government and research community to develop tools and services that address the emerging and complex challenges Singapore faces.

This project will build upon Dassault Systèmes’ 3DEXPERIENCity to create a dynamic, 3D digital model of Singapore and connect all stakeholders in a secured and controlled environment.

The model will employ data analytics and simulate modeling capabilities for testing concepts and services, planning, decision-making, researching technologies and generating community collaboration.

With images and data collected from various public agencies, including geometric, geospatial and topology, as well as legacy and real-time data such as demographics, movement or climate, Virtual Singapore users will be able to create rich visual models and realistic large-scale simulations of Singapore.

Users can digitally explore the impact of urbanization on the city-state and develop solutions that optimize logistics, governance and operations related to environmental and disaster management, infrastructure, homeland security or community services.

“Singapore is the most advanced city in the world in terms of leveraging technology to plan and manage its transformation over the next decades, and its government’s forward-thinking vision towards a Smart Nation parallels our own mission to harmonize product, nature and life through 3D universes,” said Bernard Charlès, President & CEO, Dassault Systèmes.

“Cities are some of the most complex ‘products’ created by humanity. Through more efficient and accurate predictions of future experiences within these cities using state-of-the-art tools and applications, we can better anticipate national resource planning or provision of services, and contribute towards a more sustainable quality of life. We hope to see other cities echo Singapore’s exciting initiative.”

Click to TweetClick to Tweet: “Cities are some of the most complex ‘products’ created by humanity” -@BernardCharles

Dassault Systèmes’ 3DEXPERIENCity, powered by the 3DEXPERIENCE platform, provides a scalable, single unified hub to represent, extend, and improve the real world and manage data, processes, and people of sustainable cities. 3DEXPERIENCity addresses architecture, infrastructure, planning, resources and inhabitants through virtualization, simulation and collaboration capabilities.

Research, innovation and enterprise are central to Singapore’s development as a knowledge-based economy and society as it helps to provide solutions to improve people’s lives, create job opportunities, and enter new industries.

Virtual Singapore was launched in December 2014 as part of Singapore’s Smart Nation drive. The Virtual Singapore platform is expected to be completed by 2018.

Click to TweetClick to Tweet: #VirtualSingapore
is expected to be completed by 2018

Watch this video to learn more:

Related Resources

Collaborative, Industrialized AEC Solutions from Dassault Systémes

A Sprinkling of Smart Dust

By Catherine

Written by Catherine Bolgar

6-18-2015 12-53-22 PM

The “Internet of Things” allows industrial companies to tune or monitor equipment and processes with sensors. But how can these be best positioned and remain connected? One solution is to use smart dust, deployed in oil refineries, industrial process automation, breweries, waste-water treatment and elsewhere.

Smart dust was conceived in the mid 1990s by Kristofer S.J. Pister, now professor of electrical engineering and computer sciences at the University of California, Berkeley. He wanted to  create tiny, diffuse wireless sensors that could be used for product tracking, temperature monitors, defense surveillance and other such applications.

By 2001, Dr. Pister’s team had developed an autonomous sensor the size of a grain of rice, containing five solar power supplies. “It was completely useless for anybody trying to do anything practical,” he says.

But with growing industry interest in smart dust, he founded a company, Dust Networks (acquired later by Linear Technology), to work on possible industrial applications.

When we got out of the university setting, we learned that size wasn’t particularly important, but power and reliability are,” Dr. Pister says.

The sensors had to be so efficient that their batteries would be able to last a decade, and communications technology had to function in harsh industrial conditions.

“We found that as we made these things better, the package gets smaller,” Dr. Pister says. The Dust sensors are now about the size of a sugar cube—too big to inhale, as some had feared—and are fixed in precise spots, so  “they aren’t thrown willy-nilly in the breeze,” he notes. “They aren’t going to wander.”

The sensing work itself—detection and measurement of temperature, flow rates, vibrations etc.—doesn’t require much power, but communicating it does. As a result, Dr. Pister’s team focuses on extremely low-power radios, turning them on only at the right time (down to the microsecond) either on a schedule or when the sensors have information to report.

To further save energy and improve reliability, the sensors are wirelessly connected in a mesh for efficient batch networking, communicating among one another to send data in short hops that don’t require much energy.

“The n6-18-2015 12-59-54 PMetworking aspect is similar to what goes on in the Internet,” Dr. Pister says. “It’s [about] how to build a reliable network when individual paths may be unreliable. We had to come up with different optimum solutions than what people are used to in radio.”

Typically, a sensor system has many low-power transmitters and one really good receiver, in what is called a “star-connected network.” However, in an industrial setting, the physics of a star network doesn’t work well. “The nature of radio frequency propagation and thermal noise in receivers mean there is some tradeoff,” Dr. Pister says. “If anything changes in the environment, it interferes.”

Sound travels like ripples when a stone is dropped into a pond, he says. When a ripple hits a wall, it reflects back and makes patterns. “If you’re a radio, you don’t want those patterns. You get destructive interference,” Dr. Pister explains. Industrial settings are full of such radio-reflecting walls.

That’s where the mesh really shines,” Dr. Pister says. You don’t need any one particular length between devices. Everybody can talk to everybody as long as [a] path is available. Packets [of data] keep going through, no matter what happens in the environment.”

The technology continues to improve and new applications continue to arise. “It’s not out of the question that 10 years from now there’s a whole new deployment,” he says. “The interesting thing, especially in the industrial process space, is that standards tend to last a long time.”

The first Dust sensors, deployed in 2007, are still working with their original batteries. While new generations may use less power, they operate with the same protocol, so companies don’t have to replace older models when a new one comes out. Linear Technology continues to sell products launched 30 years ago.

The quest to reduce size and energy use continues. One research focus is “energy scavenging,” whereby sensors can be powered by vibrations from the equipment they’re monitoring, or by differences in ambient temperature. “It’s not science fiction,” Dr. Pister says. “We have customers who integrated our wireless sensors that are running off solar power or temperature differences in a refinery. It’s part of the future of infinite-life products.”

Catherine Bolgar is a former managing editor of The Wall Street Journal Europe. For more from Catherine Bolgar, contributors from the Economist Intelligence Unit along with industry experts, join the Future Realities discussion.

Photos courtesy of iStock

Create New CPG Products Up To 50 Percent Faster!

By Gregory

Recent research by Tech-Clarity titled Reducing Non-Value-Added Work in Engineering finds that one-third of development time is wasted.

Some key findings include:

  • Engineers spend only 48 percent of their time actually designing products.
  • 20 percent of engineering time is spent working with outdated information.
  • 70 percent say third parties wait several days or more to send updated information.

Perfect Päckage

Product innovation is critical in the fast moving consumer goods industry. Consumer Packaged Goods companies are really struggling to accelerate their product development and launch successful products faster. There are best practices and case studies that we can learn from, to make the R&D process more efficient and to focus on value-added tasks.

Watch the webinarAccelerate Innovation Efforts Up to 50 Percent by Reducing Non-Value-Added Engineering Work” where experts share:

  • The current state of engineering in CPG companies and how companies are managing the obstacles slowing down innovation.
  • How leading companies are leveraging technology to eliminate files and emails, and to cut their innovation cycle from 18 to 6 months.
  • Ways that companies can leverage PLM to cut innovation time in half, reduce rework and quality errors, and coordinate a complex ecosystem of functions, partners, and suppliers.

Click here to watch the webinar moderated by Consumer Goods Technology with presentations from:

Kara Romanow, Executive Editor, CGT

Michelle Boucher, Vice President of Engineering Software Research, Tech-Clarity
Raymond Wodar, Director, Business Experience Consultant, CPG-RETAIL, Dassault Systèmes

Page 10 of 243« First...89101112...203040...Last »