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Intelligent cloud-based street lighting system

Intelligent cloud-based street lighting system

By BizLED Bureau

Jan 10, 2017: Lighting Reality, a UK-based company, is all set to revolutionise street lighting by using cloud computing.

In the new street lighting system, users can automate the analysis of luminaires, which helps manufacturers and electricity departments to calculate how a product would perform in as per different road configurations and luminaire placements.

Also Read: RAB launches first cloud-based commercial lighting control system

Usually, street lighting design applications can calculate a single set of calculations for a single luminaire with one road and luminaire configuration. But the new technology—Advanced Calculation Engine (ACE)—which is browser-based, can calculate the results for many different luminaires, across a number of roads, lampposts, and luminaire configurations.

Besides, manufacturers can also use the system to refine the existing and future luminaire performance and compare the existing luminaires to new chip, lens data or to competitors’ products.

Also Read: Cloud based LED lighting system with a brain

The new technology will become popular because of the calculations it can do, which will help planners and highways authorities to justify the lighting costs. ACE also allows the fast performance analysis of street lighting luminaires against a wide range of International lighting standards, across millions of different configuration scenarios.The system ensures that they conform to standards like EN13201 in Europe, CIE standards and IES RP08 in the USA.

Currently, street lighting product manufacturers are testing the ACE system. According to Lighting Reality, ACE is a ‘luminaire intelligence solution’. It is a service that is accessible through a web browser. It does not require any investment in computing hardware, or software installation by the user. All ACE calculations are performed on virtual machines running in the cloud, which allows the available compute power to be rapidly scaled up and down to meet demand.

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