Modular Blade Robot for Wind Turbine Inspection and Repair
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Solution Overview
Problem
Manual inspection, repair, and upgrade of wind turbine blades are time-consuming, expensive, and often hindered by environmental conditions, leading to inefficient operation and potential damage from debris, erosion, and lightning damage.
Innovation Solution
A modular robotic component system that includes an access module, an inspection module, and additional task-specific modules, which are positioned along cables anchored to a base location, allowing for sequential performance of tasks such as inspection, cleaning, and repair along the wind turbine surface with minimal human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual inspection, repair, and upgrade methods are used, then human technicians can perform tasks with flexibility, but the process becomes time-consuming, expensive, and limited by environmental conditions
Solution Approach 1:
The robotic system performs inspection, cleaning, and repair tasks autonomously without continuous human intervention. The robot navigates the blade surface independently, identifies defects through sensors, and executes repair operations automatically, enabling the system to serve itself and eliminating dependency on human operators for each maintenance action.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated robotic system equipped with specialized end effectors. The robotic system uses controlled mechanical movements, sensor-based detection, and automated tooling to perform tasks that were previously done manually, thereby increasing speed and consistency while reducing human exposure to harsh environmental conditions.
2Quantity of substance
If manual maintenance is performed at longer intervals to reduce costs, then operational expenses decrease, but wind turbines operate inefficiently for significant periods
Solution Approach 1:
The robotic system performs preliminary inspection and maintenance actions before significant degradation occurs. By continuously monitoring blade conditions and conducting proactive repairs, the system prevents minor issues from escalating into major problems, ensuring turbine efficiency is maintained without requiring frequent intensive maintenance interventions.
Solution Approach 2:
The robotic system incorporates sensors and detection capabilities that provide real-time feedback on blade condition. This feedback mechanism enables the system to assess degradation levels, determine when maintenance is required, and execute appropriate repairs, creating a closed-loop system that optimizes maintenance timing based on actual turbine condition rather than fixed schedules.
3Extent of automation
If robotic systems are deployed to reduce human intervention, then operational costs decrease and safety improves, but system complexity increases
Solution Approach 1:
The robotic system is divided into modular components including navigation modules, inspection modules with sensors, cleaning mechanisms, and repair effectors. Each module performs a specific function and can be independently controlled or replaced, simplifying the overall system architecture while maintaining high automation capabilities. This segmentation allows for easier maintenance and adaptation to different maintenance tasks.
Data Source
AI summary
A method including positioning a modular robotic component proximate an area of interest on a surface of a wind turbine. The modular robotic component including a plurality of modules that perform a plurality of tasks. The method further including inspecting the area of interest with the modular robotic component for an indication requiring at least one of repair or upgrade and operating the modular robotic component to perform the plurality of tasks sequentially as the modular robotic component moves along the surface of the wind turbine. A modular robotic component and system including the modular robotic component are disclosed.