istanbul city and Wienerberger Group use SAS to reduce emissions and optimize operations
orlando, florida, May 9, 2023 /PRNewswire/ — SAS INNOVATE — To support greener business strategies, leading organizations are increasingly turning to AI, machine learning, and Internet of Things (IoT) analytics. These technologies are helping companies improve sustainability, reduce emissions, and develop smarter, more efficient operations.
SAS provides AI and advanced analytics solutions that transform data into better decisions.SAS powers these solutions® Villa®Cloud-native, massively parallel AI and analytics platform from SAS.
The City of Istanbul uses SAS Viya to reduce traffic congestion and pollution levels.
“A sustainable future requires science and data-based solutions to address climate change and adapt to its impacts,” said SAS CEO. Jim Goodnight“Innovative and resilient organizations like the Istanbul Metropolitan Municipality and the Wienerberger Group are applying SAS analytics to support a greener tomorrow. Optimization and more, they demonstrate some of the many ways AI and advanced analytics are still making a difference today.”
istanbul Optimize traffic with AI
population of istanbulbustling business and financial center turkeyhas doubled in the last 20 years to reach 16 million. This growth will put a lot of pressure on the city’s transportation network. The maze of local roads and modern highways and bridges are jammed by some of the world’s most congested transportation systems.
Istanbul Metropolitan Municipality (IMM) turned to SAS to build the digital infrastructure of its smart city. With SAS Analytics, in istanbul Engineers and planners will be able to better understand, anticipate and manage the transportation challenges of their cities.
At the core of the new system is AI and machine learning running on SAS Viya. Analyze historical traffic data and incorporate live data feeds from a growing network of sources such as traffic cameras, sensors, data readers, mobile applications and payment gateways.
The results of this analysis will allow us to use new traffic and passenger data to optimize bus routes and improve service and route availability. It can also predict traffic anomalies such as accidents, lane closures, and sudden congestion areas in real time by analyzing route density, driver behavior, and driving maps. Using analytical models, IMM road operations can better control traffic lights and notify drivers through digital signage and mobile apps.
“With SAS AI and analytics, in istanbul municipal administration It can assess traffic conditions in real time, predict traffic congestion trouble spots, intelligently set traffic routes, and guide the movement of citizens. ” Naim Errol Ozguner, CIO of IMM.
“This will reduce congestion, lower pollution levels, and improve the quality of life for our citizens. in istanbul Achieving sustainability goals, restoring public confidence in mass transit, and ultimately improving traffic flow and increasing economic opportunity. ”
Last year, EU countries slashed Russian natural gas and oil imports and imposed sanctions in response to: of Moscow brutal invasion of UkraineEnergy costs around the world have increased dramatically due to energy cuts and destabilizing global energy markets. Europe.
wiener burger –fFrom rom brick factory to data driven factory
for AustriaThe Wienerberger Group, a leading provider of smart and sustainable solutions for whole buildings, innovative infrastructure solutions and the world’s largest brick manufacturer, has been forced to reduce its greenhouse gas emissions due to this uncertain situation. reducing energy consumption and finding ways to reduce energy consumption while improving product quality. . Wienerberger turned to SAS for his AI and his IoT analytics, running his SAS Viya on the Microsoft Azure Cloud to optimize energy costs and meet ambitious sustainability goals. The company aims to reduce emissions by 15% by 2023 compared to 2020 and to be fully climate neutral by 2050.
In cooperation with SAS, Wienerberger has selected the following factories: Poland for initial projects. As one of the brickmaker’s highest performing plants, this successful project now serves as a template for expanding the use of AI to other facilities.
Wienerberger collects data from a wide range of sources, from factory-wide IoT edge devices and sensors, to environmental data on weather and humidity, to spot checks of products during and after manufacturing. All these data reveal variations that can lead to inefficiencies and unnecessary energy usage.
The kiln for drying the bricks operates at 1,475 degrees Fahrenheit (800 degrees Celsius), and the goal is to reduce variability and find ideal, repeatable production steps.
SAS helped Wienerberger develop a digital twin of the brickmaking process that helps explain the variability. AI-powered digital twins also provide insights into changes that reduce energy use, improve product quality, and reduce emissions.
“We use SAS AI and IoT analytics to link all data streams and analyze the entire production process. SAS analytics give our engineers and frontline workers valuable insight into each step. It brings intelligence to the kiln by helping it identify specific setpoints for drying,” says Wienerberger AG, Data Science Team Lead, Wienerberger AG. says Florian Zittmayr.
Wienerberger is expanding its use of advanced analytics in the cloud across 149 facilities in 23 countries.Optimize energy consumption and reduce CO2 Reducing emissions through SAS AI and IoT analytics, Wienerberger is turning a brick factory into a data-driven factory.
Today’s announcement was made at SAS Innovate, the AI and analytics business conference by analytics leader SAS. Follow us to get the latest news from SAS @SASsoftwareNews on Twitter.
To learn more about SAS industry solutions that can help organizations of all sizes, visit www.sas.com/en_us/industry.html.
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