Potential Use Cases for Smart Cities
With the proper vision and support along with a flexible analy�cal framework that can expand over �me governments can establish a strong founda�on for both short and longterm smart city ini�a�ves.
SAS and Intel solu�ons for Smart Ci�es can help enhance delivery of public services and improve engagement with ci�zens – from managing conges�on during peak hours, to op�mising energy systems in a building, to ensuring public safety and more.
Smart Transportation
Building and energy systems op�mise the demand and supply of a city’s energy infrastructure. Solu�ons in this service area monitor a variety of systems from the edge. They provide data to applica�ons and analy�cs tools to automate, monitor and control energy consump�on. Buildings and Energy
Transporta�on Services include a wide range of public transit and traffic management services such as traffic management, intelligent transporta�on system planning and more.
Ci�es provide ci�zens with essen�al public safety and security services to ensure responsive police, fire and emergency medical teams. The solu�on includes security monitoring and crisis management. Public Safety and Security
Disease Management, Healthcare asset op�misa�on and more. Healthcare
Solving Flooding at Cary Town with IoT Analytics
Stormwater, which runs off impervious surfaces like roads,parking lots, sidewalks and buildings, is a key ini�a�ve for the Cary town, USA. Tradi�onally, Cary’s response to flooding was manual and reac�ve. The Town of Cary, which is viewed as a leader in innova�ve city solu�ons, have been using smart technology and data to op�mise city opera�ons and improve the quality of life. The first steps for the collabora�on is to have data from various systems unified in one place for a holis�c view. The partnership decided to build on the cloud-first strategy, which enables folks in the field to have �mely informa�on. Besides, the cloud approach allows architectural changes quickly and easily. The Stormwater Division, relies on SAS Analy�cs for IoT on SAS Viya to manage the data received at the edge. The data received includes data from solar-powered, cellular-enabled sensors that measures water height and depth, current flow and rainfall. Data from the sensors is uploaded to the cloud and combined with weather data. The team can then analyse the data and share informa�on with other departments, such as Public Works, Public Safety and Informa�on Technology. Using the sensors, Azure Maps Weather forecast data and SAS Event Stream Processing , the town expects to increase situa�onal awareness of rising stream levels,
be�er predict where flooding might occur, deliver advanced warnings and improve emergency response through automa�on. With predic�ve analy�cs , the Town of Cary can go beyond learning what happened before – and why – to discovering insights that will help it be�er prepare for future flooding events. Staff members can use data, sta�s�cal algorithms and machine learning techniques to iden�fy the likelihood of future outcomes based on the data, and send out alerts in advance. Addi�onally, SAS Visual Analy�cs provides the town with an interac�ve dashboard, reports, business intelligence and analy�cs – combining tradi�onal data with loca�on data for analysis in a geographical context. Users who are out in the field have the ability to access the stormwater IoT dashboard from a mobile device. The informa�on they need is at their finger�ps, even when they’re not in the office. With reliable data streaming in, the Town of Cary can take steps to be�er predict the actual impacts of flooding. As various amounts of rain fall in different loca�ons, the town can see the �ming in which houses, businesses, roads and other structures will be affected. Modeling can help staff be�er prepare and plan a course of ac�on.
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XV | Malaysia Smart City Outlook 2021 - 2022
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