AI-Linked Design Plan Annotations for Real-Time Code Compliance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing design plan annotation methods lack dynamic integration with evolving design plans, leading to inefficiencies, errors, and miscommunications among stakeholders due to static and isolated annotations that do not adapt to changes, especially in code compliance requirements.
Innovation Solution
An AI-powered platform that intelligently links annotations to underlying design elements, allowing dynamic updates and real-time collaboration, leveraging AI to automate annotation adjustments and provide predictive insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional static annotation methods are used in design plans, then implementation is simple and direct, but annotations become outdated and inaccurate when design plans change, leading to errors and miscommunications
Solution Approach 1:
The patent implements dynamic annotations that automatically update when design plan elements change. The system continuously monitors design elements and their associated annotations, detecting changes and automatically adjusting annotation positions, content, and associations to maintain accuracy throughout the design lifecycle, transforming static annotations into adaptive, living components.
Solution Approach 2:
The system incorporates feedback mechanisms where annotation changes are automatically detected and communicated back to the design plan. When design elements are modified, the system provides feedback by updating related annotations and notifying relevant stakeholders, creating a closed-loop system that maintains consistency between design elements and their annotations.
2Productivity
If manual annotation updates are performed for each design change, then annotations can remain accurate, but the process becomes time-consuming and prone to human error
Solution Approach 1:
The system enables self-service annotation updates through automated change detection and propagation. When design plan elements are modified, the system automatically detects the changes, identifies affected annotations, and updates them without human intervention. This self-service mechanism eliminates manual annotation maintenance while ensuring accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-establishing associations between design elements and annotations. These associations are configured in advance, allowing the system to automatically determine which annotations need updating when design changes occur, eliminating the need for manual assessment and update prioritization.
3Adaptability or versatility
If multiple stakeholders collaborate on design plans with annotations, then comprehensive input is achieved, but coordination becomes complex and errors increase without real-time synchronization
Solution Approach 1:
The system implements real-time feedback loops that continuously monitor and synchronize annotation states across all stakeholder devices. When any user modifies an annotation or design element, the change is immediately detected and propagated to all other users, ensuring everyone works from the most current information and preventing coordination errors.
Solution Approach 2:
The system provides universal access and consistent annotation display across multiple stakeholder devices and platforms. The same annotation data and associations are maintained centrally and made accessible to all authorized users, ensuring that regardless of device or user role, everyone sees and interacts with the same annotation information.
4Measurement precision
If annotations are tightly linked to design elements for automatic updates, then annotation accuracy is maintained, but the system complexity increases
Solution Approach 1:
The system implements dynamic linking between annotations and design elements, where associations are established and maintained automatically. The linking mechanism is flexible and adaptive, creating relationships based on spatial, hierarchical, or contextual criteria without requiring complex manual configuration, thereby maintaining precision while managing system complexity.
Data Source
AI summary
AI-powered apparatus for code compliance related annotation of design plans. A controller and processor receive and analyze a two-dimensional representation of a building design plan. An AI engine identifies design elements such as architectural aspects, walls, and boundaries, represented as pixel patterns. A user interface displays these elements, allowing users to select and annotate them. The system determines positional coordinates for selected elements, updating annotations in real-time to ensure synchronicity across the collaborative environment. The AI engine provides automated annotation suggestions and prioritizes actions based on annotation severity. It compares annotations against a database of safety codes to identify non-compliance issues, alerting users and suggesting adjustments. The apparatus supports real-time collaboration, 3D visualization, and integration with third-party platforms for code compliance services, enhancing workflow efficiency and ensuring adherence to regulatory standards.