Adaptive lighting: seno measure luminance, traffic, Environmental conditions
It can therefore control the dimming system to return the luminance value to that prescribed by the standard, avoiding the designer to take into account the maintenance factor.
Integrating traffic information with the ability to dim, it is possible to apply the reductions of lighting categories in real time. In this way, thanks to the regulation of the luminous flux as a function of traffic, it is possible to obtain the lighting conditions of the road always adhering to what is prescribed by the standard.
Compared to systems in which the control is made using statistical data, using the measure of real time traffic, you will always be sure of correctly illuminating the road, avoiding the use of predetermined cycles, that, approximating average values, these systems have inbuilt margins for safety and generally over light and therefore can waste energy.
The traffic counter algorithm is designed to operate optimally in conditions of low illumination and with vehicles having switched on headlamps. Whether it is dry, moist conditions rather than rain or heavy rain, the sensor is able also to analyze the characteristics and to communicate it to appropriate gateway control system. Snow and fog conditions are also recognized. This information is essential to understand both the accuracy of the luminance measurements, both to avoid reducing the luminous flux when the safety does not allow it (for example wet). Thanks to an adaptive self-learning system, the position of the road to be measured is automatically detected by the sensor, making installation a very easy task.
The sensor LTM integrates very simply in Reverberi or Opera control systems, functioning as a device of the DIM. All the information can be easily acquired from the remote control system OPERA.
The sensor LTM can be provided as a simple sensor of traffic, but can be lately upgraded to luminance and meteo detection, just modifying the software inside.
Compared to the traditional preprogrammed time cycles, the sensor has shown, in the tests, to be able to add an additional 50% energy savings to what is already obtainable with conventional control systems. The resultis is governed by the parameters that you choose to be programmed in decision-making algorithm.
It also considerably improves safety, because the dimming depends on the weather conditions at that time and real-time traffic volumes. Options are also available to communicate by WifiWireless or RS 485 with external systems.