Systems, methods, and machines for autonomously driving foundation components
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Solution Overview
Problem
The installation of screw anchors for solar array foundations is inefficient and lacks consistency in various driving conditions, requiring simplified and accurate positioning for large-scale commercial solar projects.
Innovation Solution
A closed-loop feedback control system using a programmable logic controller (PLC) with sensors and a control program to automate the screw anchor driving operation, ensuring precise depth control and adaptability to different conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual screw anchor driving operation is used, then installation process is simple, but installation efficiency is low and positioning consistency is poor
Solution Approach 1:
The patent implements a closed-loop feedback control system using sensors to monitor driving depth, torque, and penetration rate in real-time. The PLC receives sensor data and automatically adjusts driving parameters to maintain optimal installation conditions, ensuring consistent positioning and high efficiency while resolving the contradiction between automation benefits and control complexity through systematic feedback mechanisms
Solution Approach 2:
The control system automatically monitors its own operational parameters through integrated sensors and self-adjusts driving conditions without external intervention. The system performs self-diagnosis and adaptive control, reducing the need for manual operation while maintaining simplicity through autonomous decision-making algorithms that optimize installation efficiency
2Manufacturing precision
If automated control system is implemented, then positioning precision is improved, but system complexity increases
Solution Approach 1:
The system uses real-time feedback from depth sensors, torque sensors, and penetration rate monitors to continuously adjust driving parameters. This closed-loop control ensures precise positioning by comparing actual measurements with target values and making automatic corrections, achieving high manufacturing precision while managing complexity through integrated control architecture
Solution Approach 2:
The patent replaces manual mechanical operation with automated electronic control systems. PLCs and sensors substitute for human operators, providing precise digital control over driving parameters. This substitution achieves superior positioning precision while managing complexity through software-based control algorithms and standardized hardware interfaces
3Productivity
If driving speed is increased to improve efficiency, then productivity increases, but risk of equipment damage increases
Solution Approach 1:
The system continuously monitors torque, penetration rate, and driving depth through sensors, providing real-time feedback on equipment stress levels. When abnormal conditions are detected, the PLC automatically reduces driving speed or stops operation to prevent equipment damage, enabling high productivity while maintaining equipment safety through adaptive feedback control
Solution Approach 2:
The control system implements preventive measures by monitoring operational parameters before equipment damage can occur. Safety thresholds are pre-programmed, and the system automatically adjusts driving conditions in advance to avoid excessive stress on equipment, cushioning against potential failures while maintaining efficient operation within safe parameters
Data Source
AI summary
A closed-loop feedback-control system for a screw anchor driving machine that uses a programmable logic controller (PLC) and array of sensors providing real-time data to control an automated screw anchor driving operation relying on a rotary driver, a crowd motor applying downforce to the rotary driver and a tool driver extending a tool through the rotary driver and screw anchor to drive screw anchors to a target depth.