Abstract: A system for analyzing a digital design plan of at least a portion of a building for compliance with a requirement adopted by, or enforced by an authority having jurisdiction. The system includes a controller and executable software. The controller receives the digital design plan, analyzes the digital design plan using an artificial intelligence engine to ascertain a design parameter, compares the design parameter against a requirement set, and detects a condition that does not comply with the requirement set. The controller constructs a failure context including data descriptive of the condition, plan geometry associated with the condition, and the implicated requirement. The failure context may be submitted to a generative language model, which returns a change to bring the digital design plan into compliance for presentation through the interactive user interface module.

Abstract: Methods and apparatus are provided for automated analysis and verification of plumbing code compliance in architectural design plans using artificial intelligence (AI). The system analyzes design plans, such as floor plans or architectural drawings, to identify, classify, and evaluate the placement, type, and number of plumbing fixtures, including water closets, sinks, and showers. The AI engine assesses these fixtures against applicable building and plumbing codes, evaluating spatial relationships, clearances, and pipe configurations. Where non-compliance is detected, the system offers automated suggestions for design revisions and optimizations, providing code adherence and functional efficiency before construction begins. The apparatus includes interactive tools for real-time simulation and collaboration, enabling designers, architects, and code compliance officers to make informed adjustments to the design.

Abstract: Methods and apparatus operative for analyzing water closet compliance with relevant building codes using artificial intelligence (AI). The system involves receiving design plans and representing them as dynamic components, which include various fixtures and architectural elements. Each dynamic component may include a parameter that is changeable via an interactive user interface. An AI engine identifies water closet areas, ascertains design parameters, and compares them against a set of compliance conditions. The AI engine can simulate various scenarios, such as wheelchair accessibility, and evaluate multiple design parameters like height, distance, size, and placement of fixtures. The interactive user interface allows users to view compliance status and receive automated suggestions for non-compliant features. The AI determines clearances within a water closet and assesses compliance with codes such as the Americans with Disabilities Act.

Abstract: Methods and apparatus operative to analyze wheelchair turning clearance within building design plans are disclosed. The invention utilizes artificial intelligence (AI) to convert design plans into dynamic components representing structural elements and fixtures. A controller identifies critical wheelchair turning points, calculates turning radii, and compares them against compliance conditions specified by relevant building codes. The system includes an interactive user interface that allows users to view, modify, and interact with design components in real-time. The AI engine simulates wheelchair navigation, predicts occupancy loads, and evaluates surface conditions to determine safe and accessible routes, particularly to points of egress. The apparatus further provides visual indicators of compliance and suggests modifications for non-compliant areas.

Abstract: Apparatus comprising a processor and memory storing executable code operative to receive a building design plan, generate a user interactive interface with dynamic components representing aspects of the design, and enable user manipulation of design parameters. The apparatus calculates and displays a maximum occupancy load and the maximum length of a longest possible egress path based on the design plan and user modifications. The system identifies boundaries, use types, and points of egress, recalculates metrics in real time as the user adjusts design features, and references code-specific parameters for compliance. Automated suggestions for design modifications are provided to achieve code compliance. The apparatus further generates reports summarizing occupancy load, egress path length, compliance status, and recommended changes, supporting efficient building code analysis and design optimization.

Abstract: Apparatus operative via executable software to quantify building metrics using artificial intelligence analysis of a design plan. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI is used to determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes enforcing fire safety and the Americans with Disabilities Act.

Abstract: 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.

Abstract: Methods and systems employing artificial intelligence for efficient data extraction and analysis for a user-defined design plan segmentation. The method enables users to select specific segments within two-dimensional design plans, thereby triggering an AI engine to execute pixel-pattern analysis on the chosen segments. This process facilitates the extraction of comprehensive data related to code set forth by an authority having jurisdiction. Additionally, the invention includes methods for component searching within the design plans using symbols or polygon shapes selected by users, involving pixel-level analysis to identify matching dynamic components within the design plans.

Abstract: Apparatus operative to efficiently manage smoke aspects of a design plan. and smoke control practices. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes relating to smoke control and fire safety.

Abstract: Methods and apparatus operative to quantify building metrics using artificial intelligence analysis of a design plan and apply the quantified building metrics to smoke control practices. A design plan is represented using multiple dynamic components. Each dynamic component may include a parameter changeable via the user interactive interface. The dynamic components may be arranged in a user interactive interface to form a first set of boundaries, including a respective length and area, and defining at least a portion of a first unit. AI may determine a longest path of egress and a supportable occupancy load that may be used to determine compliance with parameters of a given code. The AI may assess whether a building described in the design plans complies with a relevant code set forth by an authority having jurisdiction. Codes may include, for example, codes relating to smoke control and fire safety.