Automated Foundation Driver Stall Detection and Mitigation
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Solution Overview
Problem
The existing technologies for constructing EARTH TRUSS foundations face challenges in efficiently and accurately driving screw anchors into hard soils and solid rock, leading to potential drill stalls that can damage tools and components.
Innovation Solution
The development of an automated truss driver machine that combines a rotary driver and a drilling tool, equipped with an expanding drill bit and precision automation, allows for real-time detection and mitigation of drill stalls, preventing damage to tools and components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If drilling through hard soils and solid rock during screw anchor driving, then the ability to penetrate difficult terrain is improved, but the risk of drill stall and damage to tools and components increases
Solution Approach 1:
The system performs preliminary detection of drill stall conditions by monitoring torque and rotational speed before actual stall occurs. The controller continuously compares measured values against threshold values to predict potential stall situations and initiates mitigation actions in advance, preventing damage to drilling tools and components.
Solution Approach 2:
The system implements real-time feedback monitoring of drilling parameters including torque, rotational speed, and feed rate. The controller receives continuous feedback from sensors and automatically adjusts drilling parameters or activates mitigation strategies when abnormal conditions are detected, creating a closed-loop control system that prevents drill stall and component damage.
2Measurement precision
If automated real-time monitoring of drilling parameters is implemented, then drill stall detection capability is improved, but the system complexity increases
Solution Approach 1:
The control system performs multiple functions using a single integrated controller: it manages the drilling operation, monitors drilling parameters, detects drill stall conditions, and executes mitigation strategies. This multi-functional approach improves stall detection accuracy while minimizing additional system complexity by consolidating control functions.
Solution Approach 2:
The system automatically detects drill stall conditions and executes mitigation actions without requiring external intervention. The controller self-monitors drilling parameters, compares them against predefined thresholds, and autonomously adjusts operating parameters or activates stall recovery procedures, reducing the need for complex external monitoring systems.
Data Source
AI summary
An automated driving and assembly machine for driving foundation components, such as screw anchors, and for assembling foundations, such as truss foundations, using the driven screw anchors. The machine has a rotary driver and a hydraulic drilling tool. Sensors monitoring hydraulic pressure at the drilling tool will take incremental pressure readings during a driving operation. If the readings become clustered around a relative maximum, the controller will pause the driving operation and begin a drill stall mitigation sub-routine. This may involve retracting the drill and then hammering and releasing pressurized air to clear the stall. Clearance of the stall may also be derived by the controller from pressure readings. If the relative maximum is below a predetermined threshold, this is indicative of a malfunction of the hydraulic system. As a result, the controller will generate a service flag for the hydraulic system to a user interface of the machine to alert an operator of the need to have the machine serviced.