It is a SW tool developed by TERA that allows to the different stakeholders, from designers to owners and managers of street lighting, to make accurate assessments about the costs and benefits that would be obtained by introducing improvements and innovations in terms of lighting components and primarily, by introducing devices and systems that enable the automation of the light intensity of the lamps and direction as a function of vehicle and pedestrian traffic.
How much convenient is installing efficient lamp? How much useful and convenient is to install a system that allows you to vary the intensity of light according to the amount and direction / speed car / pedestrian for a given type of road? What is the cost benefit and investment return to changes in the topography and mutations in the traffic road?
These are some of the most important questions to which the software, developed by Tera, answers.
The project and the system SW, enables the implementation and the use, by potential stakeholders, of an easy access and intuitive in function interface to the system, in order to:
- import a map of the modernization intervention area or neo-design of the lighting system;
- draw internal roads to areas of intervention, if not present on the map of the area;
- overlap elements to the map;
- place lighting poles in “manual mode, both in the case of retro-fitting both for specific choice of the designer in the developing phase;
- place the lighting poles in “auto mode” after setting parameters such as the distance between the bodies, the type of light, the type of road, etc;
- make changes after the lights placement;
- simulate the system behavior based on pre-set parameters (speed and number of cars, rules of delay and intensity lighting ad-hoc and also generic for the type of road, errors and communication delays between poles as a function of a hypothetical type of communication protocol used, etc.); This simulation also contains a dynamic view (moving cars and light intensity variation of each lamp bodies conforming to the assumptions set);
- generate reports on energy consumption as a result of the simulation;
- estimate the investment return for the installation of a new “smart street lighting system”.