FIELD OF THE INVENTION
The present invention relates to a system and method of solar power plant construction quality inspection by image analytics done by pilot less autonomous UAV, more specifically the present invention relates to image analysis of solar power plant construction quality inspection for defect analysis.
BACKGROUND
The problem of pollution and global warming is increasing exponentially. Major causes of global warming are industries and power plants. As demand for energy is increasing day by day therefore more power plants are being setup. For any industry or household main source of energy is electricity, the requirement arises for the best and effective alternate which is energy to meet the electricity demand and simultaneously do not cause global warming, so the best suited substitute is Solar power plant, it is effective solution which produces electricity as well as it reduces greenhouse effect. In order to generate more electricity from solar power plant, performance of the solar power plant has to be increased. In order to increase performance of the solar power plant following factors play very important role: solar panel performance, proper operation of the solar power plant and effective monitoring. One of the major problems is that solar power plant acquires large area. Therefore, operation and monitoring of large solar power plant is quite difficult. In case of fault then situation become very difficult to find the fault in the plant. In case of hazardous accident then the situation become very worst to control. But the solar power plant are operated and monitored by large numbers of engineers and workers. Thus cost of operation and monitoring is also increased. Another cost effective method is by using pilot less autonomous UAV to operate and monitor solar power plant. The invention is about the solution where it has the capability to do image

analytics using UAV and advance software to perform quality inspection of PV solar plant.
US20160004795A1 discloses an Unmanned Aerial Vehicle (UAV), method, apparatus, and computer-readable medium for solar site assessment includes generating a three-dimensional model of a solar site based at least in part on data captured by an (UAV), importing one or more solar paths into the three-dimensional model based at least in part on a geo-location of the solar site, and determining, one or more solar collection estimates corresponding to one or more locations in the solar site based at least in part on the three-dimensional model and the one or more solar paths.
US20170349279A1 discloses a method for inspecting a solar panel of a solar power station is performed in a controller for an unmanned aerial vehicle, UAV, and includes the steps of: receiving an inspection request for a subset of the solar panels navigating, in a first stage, using radio signals, the UAV to an initial location in a vicinity of a particular solar panel of the subset of solar panels; positioning, in a second stage, the UAV using at least one near field sensor of the UAV; and capturing, using the infrared camera, an image of the particular solar panel.
The existing inventions are not effective in monitoring of the solar power plant. In some of the existing systems pilot less autonomous UAV is not able to find the fault quickly in the large solar power plant. This problem is over come by pilot less autonomous UAVs which take images of solar power plant and assess them. In existing invention the pilot less autonomous UAVs are not able to find accurate defects along with locations. The present invention overcomes the deficiencies in the prior art. Hence there is needed of present invention in order to facilitate the effective operation and monitoring of solar power plant.

OBJECTIVE OF THE INVENTION
The main objective of the present invention is to do solar power plant construction
quality inspection by using a pilot less autonomous UAV.
Another objective of the present invention is to quickly find the fault the in the large
solar power plant.
Yet another objective of the invention is to perform construction quality inspection of
PV solar plant
Yet another objective of the present invention is to automatically and quickly perform
surveillance.
Yet another objective of the invention is that image analysis detects accurate defects
along with locations, missing components, interference in installations
Yet another objective of the invention is to effectively control the failure of the pilot
less autonomous UAVs.
Yet another objective of the invention is to reduce human interferences in the solar
power plant.
Further objectives and features of the present invention will become apparent from
the detailed description provided herein below, in which various embodiments of the
disclosed present invention are illustrated by way of example and appropriate
reference to accompanying drawings.
SUMMARY OF THE PRESENT INVENTION
The present invention relates to a system for solar power plant site assessment by image analysis. The present invention includes an pilot less autonomous UAV and ground station, the ground station controls activity of the pilot less autonomous UAV. The pilot less autonomous UAV is interconnected to ground station through wireless

communication. Herein pilot less autonomous UAV has auto-pilot facility. Herein a camera and a radio-frequency identification (RFID) reader are mounted on the pilot less autonomous UAV. Herein the pilot less autonomous UAV captures the image through the camera and sends the image to ground stations in order to analyze the image to detect defect in the solar panels and helps to detect the slope of structure for solar panel, distance of panel from ground, height of vertical post. Herein the a radio-frequency identification (RFID) reader of the pilot less autonomous UAV reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components. Herein ground station comprises of server computers, the server computer having a machine readable storage medium, the machine readable storage medium stores executable instructions, and a processor, herein the processor processes the executable instructions to execute an image analysis.
In an embodiment, method for operation and monitoring of solar power plant, the method includes: an pilot less autonomous UAVs hovers over a solar power plant. The ground stations sends control signal to the pilot less autonomous UAV. An pilot less autonomous UAVs capture image of solar power plant with a camera and sends image to ground stations. The ground station performs the operation of image analysis on server computers and detects the slope of structure for solar panel, distance of panel from ground, height of vertical post, the ground station further analyze the image send by pilot less autonomous UAV and checks for defects in solar panel and the ground station reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components. Herein in auto-pilot facility the instructions are feed into the pilot less autonomous UAV to perform various activities selected from error detection, surveillance and thermal imaging.

An advantage of the present invention is that the present invention effectively and quickly performs image analysis of the solar power plant.
Another advantage of the present invention is that the present invention does not lead to any emission or pollution.
Yet another advantage of the present invention is that the present invention is operationally effective, cost effective, and easy to operate.
Yet another advantage of the present invention is that it perform quality inspection of PV solar plant
Yet another advantage of the present invention is that the present invention is very reliable.
Yet another advantage of the present invention is that quality inspection of the solar power plant done throughout the day without involvement of any physical presence of human being.
Yet another advantage of the present invention is that the present invention does not have any geographical limitations.
Yet another advantage of the present invention is that the present invention accurately detects degree of alignment of MMS(Module Mounting Structures), module ground clearance, module to module spacing, alignment of vertical post for structures, slope of MMS, pitch of MMS, pile depth, diameter and spacing, cable laying length, depth details in the whole solar power plant.
Further advantages and features of the present invention will become apparent from the detailed description provided herein below, in which various embodiments of the disclosed present invention are illustrated by way of example and appropriate reference to accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings are incorporated in and constitute a part of this specification to provide a further understanding of the invention. The drawings illustrate one embodiment of the invention and together with the description, serve to explain the principles of the invention.
Fig.l illustrates the system and method of the present invention.
Fig. 2 illustrates the pilot less autonomous UAV with a camera and cleaning module.
DETAILED DESCRIPTION OF THE INVENTION
Definition
The terms "a" or "an", as used herein, are defined as one or as more than one. The term "plurality", as used herein, is defined as two or as more than two. The term "another", as used herein, is defined as at least a second or more. The terms "including" and/or "having", as used herein, are defined as comprising (i.e., open language). The term "coupled", as used herein, is defined as connected, although not necessarily directly, and not necessarily mechanically.
The term "comprising" is not intended to limit inventions to only claiming the present invention with such comprising language. Any invention using the term comprising could be separated into one or more claims using "consisting" or "consisting of claim language and is so intended. The term "comprising" is used interchangeably used by the terms "having" or "containing".
Reference throughout this document to "one embodiment", "certain embodiments", "an embodiment", "another embodiment", and "yet another embodiment" or similar terms means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of such phrases or in various places

throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics are combined in any suitable manner in one or more embodiments without limitation.
The term "or" as used herein is to be interpreted as an inclusive or meaning any one or any combination. Therefore, "A, B or C" means any of the following: "A; B; C; A and B; A and C; B and C; A, B and C". An exception to this definition will occur only when a combination of elements, functions, steps or acts are in some way inherently mutually exclusive.
As used herein, the term "one or more" generally refers to, but not limited to, singular as well as plural form of the term.
The drawings featured in the figures are for the purpose of illustrating certain convenient embodiments of the present invention, and are not to be considered as limitation there to. Term "means" preceding a present participle of an operation indicates a desired function for which there is one or more embodiments, i.e., one or more methods, devices, or apparatuses for achieving the desired function and that one skilled in the art could select from these or their equivalent in view of the disclosure herein and use of the term "means" is not intended to be limiting.
Fig.l illustrates the system(lOO) and method of the present invention. The system(lOO) includes an pilot less autonomous UAVs(102) and a ground station(104). The ground station (104) controls activity of the pilot less autonomous UAV(102). Herein, the pilot less autonomous UAV(102) perform the operation and monitoring of the solar power plant. Herein a camera(106) and a radio-frequency identification (RFID) reader(108) are mounted on the pilot less autonomous UAV(102). The ground station(104) includes server computer(HO), a machine readable storage medium(112), the machine readable storage medium(112) stores

executable instructions, and a processor(114) which execute the command of ground station.
Fig. 2 illustrates the an pilot less autonomous UAV(102) with a camera(106) and a radio-frequency identification (RFID) reader(108). The camera(106) is attached to bottom of the pilot less autonomous UAV(102). The radio-frequency identification (RFID) reader(108) is further attached to the pilot less autonomous UAV(102) just above the camera(106).
The present invention relates to image analysis of a solar power plant. The present invention includes pilot less autonomous UAV and a ground station. The ground station controls activity of the pilot less autonomous UAV. The term "pilot less autonomous UAV" refers to an unmanned aircraft that is remotely controlled or can fly autonomously through software-controlled flight plans in their systems working in conjunction with onboard sensors. Herein, the pilot less autonomous UAV performs the operation and monitoring of the solar power plant. In an embodiment, the pilot less autonomous UAV is a flying machine including but limited to a quad-copter, a drone, a pilotless aircraft and a radio-controlled aircraft. In an embodiment the pilot less autonomous UAV carries different sensors and actuators including but not limited to a camera, a proximity sensor, a gyro sensor, a thermal image camera and a RFID reader. The pilot less autonomous UAV flies over the solar power plant zone. The pilot less autonomous UAV is being controlled by the ground station. In the preferred embodiment, pilot less autonomous UAV are interconnected to an at ground station through wireless communication. In the preferred embodiment, pilot less autonomous UAV has auto pilot facility. In the preferred embodiment, pilot less autonomous UAV capture the image through the camera and sends the image to the at least one ground station in order to analyze the image to detect defects in the solar panels and helps to detect the slope of structure for solar panel, distance of panel from ground, height of vertical post. In the preferred embodiment, the radio-frequency

identification (RFID) reader of the pilot less autonomous UAV reads radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components. In an embodiment, the ground station includes server computer having a machine readable storage medium, the machine readable storage medium stores executable instructions, and a processor. Herein the processor processes the executable instructions to execute an image analysis. In an embodiment, the ground station performs the operation of image analysis on the server computer and detect degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing, alignment of vertical post for structures, slope of solar panels, Pitch of solar panels, Pile depth, diameter and spacing, cable laying length, depth details in the whole solar power plant. In the preferred embodiment, the ground station performs the operation of image analysis on the server computer and degree of alignment of MMS(Module Mounting Structures), module ground clearance, module to module spacing, alignment of vertical post for structures, slope of MMS, pitch of MMS, pile depth, diameter and spacing, cable laying length, depth details in the whole solar power plant.
In an embodiment, the method for operation and monitoring of solar power plant, the method includes:
an pilot less autonomous UAV hovers over a solar power plant,
the ground station sends control signal to the pilot less autonomous UAV,
an pilot less autonomous UAV capture image of solar power plant with a camera and sends image to ground station,
the ground station performs the operation of image analysis on the server computer and detects degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing, alignment

of vertical post for structures, Slope of solar panels, Pitch of solar panels, Pile depth, diameter and spacing, Cable laying length, depth details in the whole solar power plant,
the ground station further analyze the image send by pilot less autonomous UAV and checks for defects in solar panel,
the ground station reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components.
Herein, in auto-pilot facility the instructions are feed into the pilot less autonomous UAV to perform various activities selected from error detection, surveillance and thermal imaging.
Herein, the camera can be "thermal image camera" that allows seeing areas of heat through smoke, darkness, or heat-permeable barriers.
In another embodiment, present invention relates to image analysis of a solar power plant. The present invention includes one or more pilot less autonomous UAVs and one or more ground stations, the one or more ground stations controls activity of the one or more pilot less autonomous UAVs. In an embodiment wherein the one or more pilot less autonomous UAVs are interconnected to one or more ground stations through wireless communication. In an embodiment, one or more pilot less autonomous UAVs have auto-pilot facility. In an embodiment, herein a camera and a radio-frequency identification (RFID) reader are mounted on the pilot less autonomous UAVs. In an embodiment, wherein the one or more pilot less autonomous UAV captures the image through the camera and sends the image to one or more ground stations in order to analyze the image to detects defect in the solar panels and helps to detect the slope of structure for solar panel, distance of panel from ground, height of vertical post. In an embodiment, wherein the a radio-frequency identification (RFID) reader of the one or more pilot less autonomous UAVs reads a

radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components. In an embodiment, herein one or more ground stations comprises of one or more server computers, the one or more server computers having a machine readable storage medium, the machine readable storage medium stores executable instructions, and a processor, wherein the processor processes the executable instructions to execute an image analysis. In an embodiment, the one or more ground stations perform the operation of image analysis on the one or more server computer and detects degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing, alignment of vertical post for structures, slope of solar panels, Pitch of solar panels, Pile depth, diameter and spacing, cable laying length, depth details in the whole solar power plant. In the preferred embodiment, degree of alignment of MMS(Module Mounting Structures), module ground clearance, module to module spacing, alignment of vertical post for structures, slope of MMS, pitch of MMS, pile depth, diameter and spacing, cable laying length, depth details in the whole solar power plant.
In an embodiment, method for operation and monitoring of solar power plant, the method comprising:
one or more pilot less autonomous UAVs hovers over a solar power plant;
one or more ground stations sends control signal to the one or more pilot less autonomous UAV;
the one or more pilot less autonomous UAVs capture image of solar power plant with a camera and sends image to one or more ground stations;
the one or more ground stations perform the operation of image analysis on the server computer and detects degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing,

alignment of vertical post for structures, Slope of solar panels, Pitch of solar panels, Pile depth, diameter and spacing, Cable laying length, depth details in the whole solar power plant,
the ground station further analyze the image send by pilot less autonomous UAV and checks for defects in solar panel,
the one or more ground stations perform the operation of image analysis on the one or more server computers and create virtual 3D model of the solar power plant depicts all placement of electrical equipment selected from inverter, transformers and switchgear box,
thus the one or more ground station is able to detect defect in the solar power plant and electrical equipment easily from the virtual 3D model,
the one or more ground stations reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components.
Herein the a radio-frequency identification (RFID) reader of the pilot less autonomous UAV reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components. Herein, in auto-pilot facility the instructions are feed into the pilot less autonomous UAV to perform various activities selected from error detection, surveillance and thermal imaging.
Herein, the camera can be "thermal image camera" that allows seeing areas of heat through smoke, darkness, or heat-permeable barriers.
Further objectives, advantages and features of the present invention will become apparent from the detailed description provided herein below, in which various embodiments of the disclosed present invention are illustrated by way of example and

appropriate reference to accompanying drawings. Those skilled in the art to which the present invention pertains may make modifications resulting in other embodiments employing principles of the present invention without departing from its spirit or characteristics, particularly upon considering the foregoing teachings. Accordingly, the described embodiments are to be considered in all respects only as illustrative, and not restrictive, and the scope of the present invention is, therefore, indicated by the appended claims rather than by the foregoing description or drawings. Consequently, while the present invention has been described with reference to particular embodiments, modifications of structure, sequence, materials and the like apparent to those skilled in the art still fall within the scope of the invention as claimed by the applicant.

CLAIM
1. The system(lOO) for solar power plant construction quality inspection using pilot
less autonomous UAV, the system(lOO) comprising:
an at least one pilot less autonomous UAV(102); and
an at least one ground station(104), the ground station(104) controls activity of the at least one pilot less autonomous UAV(102).
2. The system(lOO) as claimed in claim 1, wherein the at least one pilot less autonomous UAV(102) are interconnected to an at least one ground station(104) through wireless communication.
3. The system(lOO) as claimed in claim 1, wherein the at least one pilot less autonomous UAV(102) has auto-pilot facility.
4. The system(lOO) as claimed in claiml, wherein a camera(106) and a radio-frequency identification (RFID) reader(108) are mounted on the pilot less autonomous UAV(102).
5. The system(lOO) as claimed in claim 1 and claim4, wherein the at least one pilot less autonomous UAV(102) capture the image through the camera(106) and sends the image to the at least one ground station(104) in order to analyze the image to detect defects in the solar panels and helps to detect degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing, alignment of vertical post for structures, Slope of solar panels, Pitch of solar panels, Pile depth, diameter and spacing, Cable laying length, depth details in the whole solar power plant.
6. The system(lOO) as claimed in claim 1 and claim 4, wherein the a radio-frequency identification (RFID) reader(108) of the at least one pilot less autonomous UAV(102)

reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components.
7. The system(lOO) as claimed in claim 1, wherein the at least one ground
station(104) comprises:
an at least one server computer(HO), the at least one server computer(HO) having
a machine readable storage medium(112), the machine readable storage medium(l 12) stores executable instructions, and
aprocessor(114);
wherein the processor(114) processes the executable instructions to execute image analysis.
8. The method for solar power plant construction quality inspection using pilot less
autonomous UAV, the method comprising:
an at least one pilot less autonomous UAV(102) hovers over a solar power plant;
an at least one ground station(104) sends control signal to the at least one pilot less autonomous UAV(102);
the at least one pilot less autonomous UAV(102) capture image of solar power plant with a camera(106) and sends image to the at least one ground station(104);
the at least one ground station(104) performs the operation of image analysis on the at least one server computer(HO) and detects degree of alignment of the solar panels, the solar panels ground clearance, the solar panels to another solar panels spacing, alignment of vertical post for structures, Slope of solar

panels, Pitch of solar panels, Pile depth, diameter and spacing, Cable laying length, depth details in the whole solar power plant;
the at least one ground station(104) further analyze the image send by at least one pilot less autonomous UAV and checks for defects in solar panel;
the at least one ground station(104) performs the operation of image analysis on the at least one server computer(HO) and create virtual 3D model of the solar power plant depicts all placement of electrical equipment selected from inverter, transformers and switchgear box;
thus the at least one ground station(104) is able to detect defect in the solar power plant and electrical equipment easily from the virtual 3D model; and
the at least one ground station(104) reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components;
wherein the a radio-frequency identification (RFID) reader(108) of the pilot less autonomous UAV reads a radio-frequency identification (RFID) tag of the solar panels in order to detect location, defects and missing components.
9. The method as claimed in claim 9, wherein in auto-pilot facility the instructions are feed into the pilot less autonomous UAV(102) to perform various activities selected from error detection, surveillance and thermal imaging.