Method for characterising a zone of land intended for the installation of photovoltaic panels
The present invention relates to a method for characterizing a zone of land, referred to as the target zone, intended for the installation of photovoltaic panels, the method comprising: receiving a bird's eye image of a target zone, detecting, in the image, a shadow cast over the target zone originating from an obstacle, determining a dimension, referred to as the main dimension, of the detected cast shadow, determining the position of the sun during the acquisition of the image on the basis of characteristics relating to the image, determining the height of the obstacle on the basis of the main dimension and the determined position of the sun, and characterizing the target zone on the basis of the height determined for the obstacle.
1 . A method for characterizing a zone of a land, called a target zone, intended for installation of photovoltaic panels, the target zone receiving direct solar radiation and extending over at least two meters in length and at least two meters in width, at least part of the target zone being shaded over time by at least one obstacle, the method being implemented by computer and comprising the following steps:
a. receiving a bird's eye view image of a land comprising at least one target zone,
b. detecting, on the image, a shadow cast onto the target zone, the cast shadow coming from an obstacle,
c. determining a dimension, called the main dimension, of the detected cast shadow, the main dimension corresponding to a height of the obstacle,
d. determining a position of the sun when acquiring the image on the basis of characteristics relating to the image,
e. determining the height of the obstacle on the basis of the main dimension determined for the shadow cast and the determined position of the sun, and
f. characterizing the target zone on the basis of the height determined for the obstacle,
wherein the characteristics of the image used in the step of determining the position of the sun comprise only the date of acquisition of the image, the geographical coordinates of a point of the image and a geometric characteristic of the cast shadow considered.
2 . The method according to claim 1 , wherein the characterization step comprises determining, for time steps taken over a predetermined period of time, the parts of the target zone shaded by the obstacle, on the basis of the height of the obstacle and of the position of the sun for each time step of the predetermined period of time.
3 . The method according to claim 1 , wherein the characterization step comprises evaluating an impact of the obstacle on at least one datum relating to the received solar energy on the target zone over a predetermined period of time, on the basis of the height determined for the obstacle and of the position of the sun over the predetermined period of time.
4 . The method according to claim 1 , wherein the geometric characteristic of the cast shadow depends on the extent of the cast shadow, the orientation of the obstacle and the orientation of the surface onto which the cast shadow is projected.
5 . The method according to claim 1 , wherein the step of determining the position of the sun comprises determining an azimuth of the sun on the basis of the geometric characteristic of the cast shadow, and determining an elevation of the sun corresponding to the azimuth determined.
6 . The method according to claim 5 , wherein the determination of the elevation is obtained via a database listing the positions of the sun at the date of acquisition of the image or by an astronomical calculation.
7 . The method according to claim 1 , wherein the step of detecting the cast shadow is implemented by a detection model, the detection model having been previously trained on a database comprising bird's eye images of cast shadows.
8 . The method according to claim 7 , wherein the detection model is a neural network.
9 . The method according to claim 1 , wherein the step of detecting the cast shadow comprises processing the received image by enhancing the contrast of the image.
10 . The method according to claim 1 , wherein the method comprises optimizing a positioning of photovoltaic modules on the target zone on the basis of the characterization carried out of the target zone.
11 . A non-transitory computer readable storage medium comprising, a computer program having computer software instructions configured to cause a computer to perform the method according to claim 1 .