Solar Farm Robots for Autonomous Panel Inspection and Repair

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Solution Overview

Problem

Maintenance and repairs in large solar farms become inefficient and costly due to the reliance on human technicians, with existing technologies failing to provide effective automation and scalability.

Innovation Solution

The deployment of robots with various functions and components to automate operations, including cleaning robots, inspector robots, and other specialized robots for installation, optimization, maintenance, and daily operations, utilizing advanced sensors and tools for precise inspections and repairs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If human technicians are used for maintenance and repairs in large solar farms, then tasks can be performed with human judgment and adaptability, but the operations become inefficient, costly, and difficult to scale

Engineering Contradiction:
Improvemaintenance efficiencyVSAvoidoperational scalability
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The solar farm system performs self-diagnosis and self-maintenance through autonomous robots that detect, diagnose, and repair panel issues without human intervention, enabling the system to service itself and dramatically improving both efficiency and scalability

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical inspection and repair operations are replaced with automated robotic systems equipped with sensors, cameras, and robotic manipulators that can autonomously navigate, inspect, and maintain solar panels, eliminating the limitations of human-operated systems

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If more human technicians are deployed to improve maintenance coverage, then more areas can be monitored, but costs increase and human error remains a problem

Engineering Contradiction:
Improvemaintenance coverageVSAvoidhuman error reduction
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The autonomous robotic system eliminates human error by performing all inspection and maintenance tasks automatically with consistent precision, while simultaneously expanding coverage area without proportionally increasing costs

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Multiple identical robotic units can be deployed to cover large areas, with each robot being a precise copy of the others, ensuring uniform quality of maintenance across the entire solar farm without the variability inherent in human performance

Inventive Principle:
Principle #26Copying

3Ease of manufacture

If traditional cleaning and inspection methods are used, then simple tasks can be performed, but complex maintenance operations become difficult and expensive

Engineering Contradiction:
Improvetask simplicityVSAvoidmaintenance complexity
Core Design Contradiction:
Ease of manufactureVSDevice complexity

Solution Approach 1:

The robotic system is designed with multiple functions integrated into a single platform, including navigation, inspection, cleaning, diagnosis, and repair capabilities, allowing it to handle both simple and complex maintenance tasks without requiring separate systems for each function

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The complex maintenance task is broken down into discrete sub-tasks (navigation, inspection, cleaning, repair) that are handled by specialized robotic modules or tools, making the overall complex operation manageable through systematic decomposition

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9020636B2Robot for solar farms
Publication Date: 2015.04.28 BTPATENT LLC
  • US9020636B2 patent drawing
  • US9020636B2 patent drawing
  • US9020636B2 patent drawing

AI summary

The solar energy and solar farms are used to generate energy and reduce dependence on oil (or for environmental purposes). The maintenance and repairs in big farms become very difficult, expensive, and inefficient, using human technicians. Thus, here, we teach using the robots with various functions and components, in various settings, for various purposes, to improve operations in big (or hard-to-access) farms, to automate, save money, reduce human mistakes, increase efficiency, or scale the solutions to very large scales or areas.