Il prossimo 27 novembre, a partire dalle ore 9:15 fino alle 16:30 circa, presso l’Aula Leonardo, si terrà il Seminario dal titolo “EASY-PV: RPAS and Galileo to support photovoltaic plants monitoring”.

Qui di seguito L’Agenda dell’evento.


RPASs are used in many areas and what’s more, there is no end when it comes to their possibilities.
Therefore, the areas of applications are numerous today and there is the growing use of RPASs all around the
world. As a general non exhaustive list main areas of applications may be Search and rescue, security
operations, surveying and GIS (mapping), Aerial photography & video, unmanned cargo systems,
engineering, construction and pre-construction work, aviation, maritime, marketing, real estate, insurance,
utilities, mining, meteorology, education, and more.
A really promising sector is without a doubt relevant to inspections activities as many systems such as power
lines, wind turbines, and pipelines can be checked in a short time. In particular, a service which is recently
emerging refers to photovoltaic plants maintenance operations.
As photovoltaic plants are aging, it is not uncommon that their production lowers due to inefficiency caused
by unknown modules on the plant lowering the whole plant’s productivity. Thermal inspections are valuable
for PV owners and maintainers, but relevant procedures – currently performed by operators with handheld
cameras – are time demanding and sometimes expensive due to safety costs for the personnel involved in
the operations. It stands to reason that today such operations are not fully automated yet and the
responsive recognition of a broken module might result very difficult in a large PV plant.
As a direct response to the growing need expressed by PV plants owners and maintainers, EASY PV solution is
conceived to build up an automatic system for acquiring, geo-referencing and processing both visible and
thermal images captured by an RPAS equipped with an EGNSS high accuracy receiver, flying over a
photovoltaic field. A proprietary computer vison algorithm automatically processes thermal geo-referenced
images allowing to easily detect the defective modules to be contingently replaced.
This seminar, conceived having in mind the above scenario, aims to reach people enthusiast for RPAS and
potentially interested to collaborate with the EASY-PV consortium providing them with a technological
insight about enabling technologies such as GNSS and computer vision as well as operational concept to be
managed to accomplish photovoltaic plants’ maintenance activities. Moreover, an important section is
devoted to the regulatory framework, necessarily to be handled due to RPAS involvement in operational