Pile Basket Assembly Sequencing for Autonomous Pile Driving
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Solution Overview
Problem
Current manual operation of heavy equipment vehicles for pile driving is costly, labor-intensive, and prone to human error, with insufficient skilled labor and limited operational hours contributing to project delays and increased costs.
Innovation Solution
The development of autonomous off-road vehicles (AOVs) capable of accessing pile plan maps, generating obstacle maps, and autonomously navigating, loading, and driving piles into the ground, with integrated quality control and obstacle mapping functionalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation of heavy equipment vehicles is used, then skilled labor can operate the vehicles, but labor costs are high and operational hours are limited
Solution Approach 1:
The heavy equipment vehicle is equipped with autonomous operation capabilities including sensors, processors, and control systems that enable the vehicle to perform pile driving operations independently without human intervention, allowing 24/7 operation and eliminating labor cost constraints
Solution Approach 2:
The manual mechanical control system is replaced with an autonomous electronic control system that uses sensors, processors, and automated actuators to operate the vehicle and perform pile driving tasks, enabling continuous operation beyond human working hours
2Ease of operation
If manual operation of heavy equipment vehicles is used, then vehicles can be operated during the day, but project duration is extended and costs increase
Solution Approach 1:
The autonomous vehicle operates continuously without interruption for 24 hours per day, performing pile driving operations at night and during daytime without breaks, thereby completing projects in less time and reducing overall project duration and associated costs
3Ease of operation
If manual operation of heavy equipment vehicles is used, then operators can make real-time decisions, but human error increases and work quality decreases
Solution Approach 1:
The autonomous vehicle incorporates multiple sensors including cameras, LIDAR, and GPS that continuously monitor the environment and provide real-time feedback to the control system, enabling precise positioning, obstacle detection, and quality verification of pile driving operations without human error
Solution Approach 2:
Human decision-making is replaced with automated electronic control systems that process sensor data and execute precise control commands, eliminating human error in operation and quality assessment while maintaining real-time responsiveness
4Productivity
If autonomous off-road vehicles are used, then labor costs are reduced and operational hours are extended, but device complexity increases
Solution Approach 1:
The autonomous vehicle integrates multiple functions including autonomous navigation, obstacle detection, pile handling, driving operations, and quality monitoring into a single multi-functional platform, reducing the need for separate equipment and operations while managing complexity through functional integration
Data Source
AI summary
A pile plan map indicating a plurality of locations in a geographic area at which piles are to be installed is accessed. A first set of locations is identified from the plurality of locations and a first set of piles to be driven into the ground at the first set of locations using the pile plan map is identified. An order for driving the first set of piles into the ground is identified and a pile type for each of the first set of piles is identified. Basket assembly instructions are generated for assembling the first set of piles into a basket based on the identified order and the identified pile types. The first set of piles are assembled autonomously or manually into the basket based on the generated basket assembly instructions.