Solar Plant UAV Navigation Using GPS and Image-Based Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual inspection of solar plant components is labor-intensive, time-consuming, and prone to errors, especially in large areas, leading to potential inefficiencies and safety risks due to unfavourable weather conditions.
Innovation Solution
A system and method for navigating an unmanned vehicle using GPS and image data to detect defects in solar plant components, employing machine learning techniques for precise navigation and defect analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is conducted for each solar plant component, then inspection thoroughness is improved, but labor intensity and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated unmanned vehicle system equipped with sensors, cameras, and AI-based defect detection algorithms. The vehicle autonomously navigates through the solar plant, captures images of components, and uses machine learning models to identify defects, thereby eliminating labor-intensive manual inspection while maintaining high inspection thoroughness and reducing time consumption.
Solution Approach 2:
The inspection system performs self-service through autonomous operation. The unmanned vehicle independently navigates, captures images, processes data, and generates inspection reports without human intervention. The AI-based defect detection automatically analyzes captured images to identify defects, enabling the system to serve itself and eliminating the need for manual inspection labor.
2Area of stationary object
If manual inspection is conducted in extensive solar plant areas, then coverage is improved, but complexity of navigation and operation increases
Solution Approach 1:
The unmanned vehicle is designed as a universal inspection platform capable of navigating diverse terrains and inspecting multiple types of solar plant components (panels, inverters, transformers, etc.). The system integrates GPS navigation, obstacle detection, image capture, and AI-based defect detection into a single multi-functional device, enabling it to handle extensive coverage areas without increasing operational complexity.
Solution Approach 2:
The patent replaces complex manual navigation operations with automated GPS-based navigation systems. The unmanned vehicle autonomously determines its location, plans routes, and navigates through extensive solar plant areas using GPS coordinates and onboard sensors, thereby reducing navigation complexity while maintaining comprehensive coverage.
3Measurement precision
If manual inspection is performed, then defect detection capability is improved, but safety risks in unfavorable weather conditions increase
Solution Approach 1:
The patent replaces manual inspection with an unmanned vehicle system that can operate in unfavorable weather conditions without exposing human inspectors to safety risks. The vehicle is equipped with weather-resistant sensors and cameras that continue to function in rain, wind, or extreme temperatures, maintaining defect detection capability while eliminating safety hazards associated with human exposure to harsh environments.
4Productivity
If automated navigation system is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple functions (navigation, image capture, defect detection, and report generation) into a single integrated unmanned vehicle system. By combining GPS navigation, onboard cameras, AI-based defect detection algorithms, and automated reporting into one unified platform, the system achieves high inspection efficiency without proportionally increasing overall system complexity, as the components work together synergistically.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances efficiency and safety by accurately identifying defects in solar plant components, reducing energy losses and operational delays through automated inspection.
Implementation Method 1
determining a coarse location of the unmanned vehicle based on Global Positioning System (GPS) data
Data Source
AI summary
A method for navigating an unmanned vehicle in a solar plant. According to the method, inspection data and inspection instruction of the solar plant is received. Further the unmanned vehicle is navigated based on the inspection instruction and the inspection data. To navigate the unmanned vehicle, a coarse location of the unmanned vehicle is determined. Further, a fine location of the unmanned vehicle based on image data and the coarse location is determined. Furthermore, a route for the unmanned vehicle based on the fine location, the inspection data, and the inspection instruction, is determined and the unmanned vehicle is manoeuvred based on the fine location of the unmanned vehicle and the route.