Drone Marking Mount With Shock Absorption for Building Defects
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current construction inspection and defect remediation methods are inefficient and prone to human error, especially in accessing hard-to-reach areas and maintaining the integrity of building envelopes.
Innovation Solution
The use of drones equipped with camera hardware, machine-learning models, and remediation subsystems for building inspection, defect marking, and remediation, particularly focusing on the building envelope layer during construction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human workers are deployed to inspect and remediate building defects in hard-to-reach areas, then manual inspection and remediation can be performed, but safety risks increase and human error occurs
Solution Approach 1:
The patent replaces human workers with an automated drone system equipped with computer vision and machine learning algorithms to detect, mark, and remediate building defects. The drone uses automated navigation and control systems to perform inspection and remediation tasks without human intervention, eliminating safety risks to workers and reducing human error while maintaining operational capability in hard-to-reach areas
Solution Approach 2:
The drone system performs autonomous inspection and remediation operations by independently navigating to detected defects, marking them with precision, and applying remediation materials. The system uses self-contained sensors, processing units, and dispensing mechanisms to complete the entire workflow without requiring human workers to physically access hazardous areas, thereby eliminating safety risks while maintaining reliability
2Reliability
If drones are used for defect marking, then safety is improved and human error is reduced, but device complexity increases
Solution Approach 1:
The drone system integrates multiple functions into a single platform: defect detection using computer vision sensors, precision marking using a marking device, and remediation using material dispensing mechanisms. By combining these functions in one multi-functional system, the patent reduces the need for separate equipment and manual operations, thereby managing complexity while achieving reliable automated inspection and remediation without human error
Solution Approach 2:
The patent merges the detection, marking, and remediation functions into a single integrated drone system. The computer vision system detects defects, the control system processes the data, the marking device applies markers, and the remediation system applies materials - all within one automated platform. This consolidation manages device complexity by creating a unified system rather than requiring multiple separate systems and manual coordination
3Measurement precision
If manual inspection methods are used, then simple equipment is required, but inspection precision and data accuracy decrease
Solution Approach 1:
The patent replaces manual visual inspection with an automated drone system equipped with high-resolution cameras, LIDAR, and computer vision algorithms. This substitution enables precise detection and measurement of building defects with quantitative data, significantly improving inspection precision and data accuracy compared to manual methods while managing complexity through automated processing
Solution Approach 2:
The drone system incorporates real-time feedback loops where sensors continuously capture data, machine learning algorithms analyze the information, and the control system adjusts navigation and inspection parameters based on detected defects. This feedback mechanism ensures high inspection precision by continuously optimizing the inspection process and accurately identifying defect characteristics, positions, and severities
4Productivity
If drones access hard-to-reach areas for remediation, then inspection completeness is improved, but device complexity increases
Solution Approach 1:
The drone system employs dynamic flight control and adaptive navigation capabilities that allow it to maneuver in three-dimensional space and access hard-to-reach areas of buildings. The system can adjust its position, orientation, and speed in real-time to reach difficult locations for inspection and remediation, improving inspection completeness while managing the complexity of operating in challenging environments through automated control algorithms
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
This approach enhances safety and precision by reducing human error, improving data accuracy, and enabling thorough inspections and remediations in areas difficult for humans to access.
Implementation Method 1
a shock absorption sub-assembly positioned between the marking mount and the motion guide, with the motion guide being configured to maintain a position of the shock absorption sub-assembly... activate the shock absorption sub-assembly to at least partially absorb a shock caused by the contact
Data Source
AI summary
A system includes processing circuitry and a drone that includes a marking mount that receives a marking device, a motion guide that provides a sliding framework for a reciprocating motion of the marking mount, and a shock absorption sub-assembly positioned between the marking mount and the motion guide. Control logic of the drone is configured to navigate, based on navigation instructions received from the processing circuitry, the drone to an area associated with a misapplication of a tape as applied to a substrate or a substrate defect, such that a distal tip of the marking device makes contact with the area associated with the tape misapplication or the substrate defect, while activating the shock absorption sub-assembly to at least partially absorb a shock caused by the contact between the distal tip of the marking device and the area associated with the tape misapplication or the substrate defect.