Tata Consultancy Services (TCS) a global IT services and consulting business based in Mumbai unveiled software that the company claims allows cities to reduce the typical four to five year payback period of LED street lights to just two to three years. TCS Digital Software & Solutions Group created the software called Intelligent Urban Exchange (IUX) for Adaptive Streetlight Optimization.
The TCS also says that the software can help cities to jump-start other domains of smart city projects such as water and transportation.The software leverages smart streetlight wide area networks and o a common data analytics platform for municipal applications in addition to street lighting. Other smart city applications can leverage the software’s smart streetlight wide area networks and common data analytics platform.
Other Smart City Services Can Use Data Analytics from the TCS Software
“The global switch to smart street lighting is an open invitation for every city to begin their smart city journey,” said Seeta Hariharan, General Manager and Group Head, TCS Digital Software & Solutions Group. “Like the dawn of the Internet, we’re just scratching the surface of what’s possible when cities intelligently connect scores of new urban data sources. Just as we’re seeing in retail, banking and other customer-centric markets, cities will compete on their ability to deliver a superior experience for digitally savvy citizens and visitors.”
The IUX, which works with both LED and conventional streetlights helps optimize the use of streetlights while taking into account real-time including traffic, people movement, and weather. The learning algorithm can also look at historic data such as crime patterns.
The company says that the IUX software can increase energy savings from the lighting by 15 to 25 percent beyond the 50% energy saving by switching to LED lighting.
For example, the system can automatically adjust streetlight brightness in a particular area to improve public safety when crowds gather around a traffic accident. On the other hand, when bad weather keeps people indoors, the software can recommend the dimming of the streetlights. Other brightness adjustments could be made in response to pedestrian activity or to resolve light pollution complaints.