Solar Farm Construction Robots for Automated Panel Assembly
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Solution Overview
Problem
The construction of large-scale solar farms is labor-intensive, time-consuming, and costly, with existing methods lacking automation for the mechanical assembly of solar panel arrays, leading to inefficiencies and increased costs.
Innovation Solution
A robotic system comprising three mobile devices for post driving, rack installation, and PV panel mounting, utilizing multi-axis robotic arms, LiDAR, machine vision, and GPS for precise navigation and assembly, allowing for 'plug-and-play' construction and real-time operational data monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labor is used for solar panel installation, then flexibility and adaptability are maintained, but construction time and labor costs increase significantly
Solution Approach 1:
The solar farm construction process is divided into distinct functional modules: post-driving robots, rack-installation robots, and panel-mounting robots. Each robot performs a specific task independently, allowing parallel execution of multiple construction activities simultaneously, thereby dramatically increasing overall construction speed while maintaining manageable automation complexity
Solution Approach 2:
Manual mechanical operations are replaced with automated robotic systems equipped with specialized end effectors. The post-driving robot uses automated drilling and insertion mechanisms, the rack-installation robot employs precision positioning and fastening systems, and the panel-mounting robot utilizes automated alignment and attachment devices, eliminating the need for manual labor while achieving high-speed construction
2Productivity
If more workers are deployed to install panels faster, then productivity increases, but labor costs and project complexity increase
Solution Approach 1:
Each robotic system is designed as a multi-functional platform that can perform multiple operations. The post-driving robot can drive posts, drill holes, and insert anchors. The rack-installation robot can position racks, align them precisely, and secure them with various fastening methods. This universality reduces the total number of specialized devices needed while maintaining high productivity
Solution Approach 2:
The robotic systems are equipped with autonomous navigation capabilities using GPS and LiDAR, allowing them to locate themselves and navigate to installation positions without human intervention. The systems self-manage their operations, adjusting parameters and coordinating with other robots automatically, thereby reducing the complexity of human-machine coordination while achieving rapid construction
3Loss of time
If traditional construction methods are used, then existing equipment and processes can be utilized, but construction time extends to a year or more
Solution Approach 1:
The robotic systems arrive with pre-loaded trailers containing all necessary components (posts, racks, panels) for the next installation phase. The digital map and installation sequence are pre-programmed into the control systems before arrival. This preliminary preparation eliminates on-site material handling and planning delays, enabling continuous high-speed construction that reduces project duration from years to months
Solution Approach 2:
The robotic systems continuously monitor their position, installation status, and operational parameters through sensors and GPS. Real-time feedback allows the robots to adjust their operations, coordinate with other robots, and report progress to central control. This automated feedback loop eliminates manual monitoring and coordination, reducing implementation complexity while achieving rapid construction deployment
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
The robotic system significantly reduces construction time and costs by automating the installation process, achieving a 50% reduction in man-hours and ensuring a uniform structure, while enabling remote monitoring and performance analysis.
Implementation Method 1
a LiDAR device 108 for mapping a terrain
Implementation Method 2
a GPS receiver 106 for receiving signals from GPS satellites 150
Data Source
AI summary
The invention provides a system of mobile robotic devices configured to install the posts, racks, and photovoltaic (PV) panels of a solar farm. The invention also provides a computer command system (CCS) to direct the robotic devices for installation of the posts, racks, and panels with optimum speed and efficiency.