Drone Building Inspection for Code Compliance Mapping
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Solution Overview
Problem
Traditional building inspections rely on human observation, which can lead to oversight of construction problems, human error, and scheduling challenges, resulting in potential safety hazards and inefficiencies.
Innovation Solution
A robotic system using a drone equipped with sensors performs automated inspections, comparing the physical environment to known plans and codes, detecting damage or maintenance issues, and generating maps to ensure compliance and suggest necessary revisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection by human observers is used, then the inspection process is simple to implement, but human error and oversight lead to reduced measurement precision and reliability
Solution Approach 1:
The patent replaces manual visual inspection with an automated robotic inspection system that uses sensors, cameras, and image processing algorithms to detect construction defects. The robotic device autonomously navigates construction sites, captures images of structural elements, and uses machine learning models to identify cracks, deformities, and other defects, thereby eliminating human error while maintaining operational simplicity through automation.
Solution Approach 2:
The inspection system performs self-assessment by automatically analyzing captured images against predefined quality standards and building codes. The robotic device independently identifies defects, generates inspection reports, and flags non-compliant elements without requiring constant human intervention, enabling the system to serve itself in the inspection process while improving measurement precision.
2Reliability
If comprehensive inspection of every dimension and system is performed, then inspection reliability is improved, but inspection time and productivity are reduced
Solution Approach 1:
The system performs preliminary inspections at critical construction milestones before proceeding to subsequent construction phases. By conducting inspections at predetermined stages (e.g., after formwork removal, before concrete pouring), the system ensures comprehensive coverage of critical elements without requiring continuous inspection of all areas, thereby maintaining reliability while improving overall construction productivity.
Solution Approach 2:
The robotic inspection system focuses on inspecting critical structural elements and high-risk areas with excessive detail while using simplified inspection protocols for non-critical areas. The system prioritizes inspection of load-bearing elements, joints, and areas prone to defects, applying comprehensive analysis only where needed, thus balancing reliability with productivity by avoiding unnecessary inspection of low-risk areas.
3Reliability
If frequent periodic inspections are scheduled, then construction quality and safety are improved, but project timeline and productivity are reduced
Solution Approach 1:
The system implements periodic inspections at strategically determined intervals based on construction phase, weather conditions, and risk assessment. Rather than continuous inspection, the robotic device performs inspections at optimized frequencies (e.g., weekly during critical phases, monthly during stable phases), maintaining construction quality and safety while minimizing time loss to the project timeline through data-driven scheduling.
Solution Approach 2:
The inspection system uses feedback from previous inspection results to dynamically adjust inspection frequency and focus. When defects are detected or risk levels increase, the system automatically increases inspection frequency in affected areas. When consecutive inspections show no issues, the system reduces frequency, thereby maintaining high construction quality while optimizing project timeline by avoiding unnecessary frequent inspections in stable conditions.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for robotic building inspection. In some implementations, one or more data objects that specify one or more requirements for a property are accessed. Sensor data of the property is obtained using a drone or other robotic device that has one or more sensors. A map is generated from the sensor data. An issue with the property is identified by comparing the map with the one or more data objects. A notification is generated based on the comparison where the notification includes an indication of the issue. The notification is transmitted to a computing device of a user.