Augmented Virtual Model Directional Query System
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Solution Overview
Problem
Existing methods for modeling and managing construction and operational performance of facilities lack the ability to accurately specify a direction of interest, limiting the effectiveness of design and performance tracking in construction and maintenance processes.
Innovation Solution
The development of an automated system that combines geospatial location and direction to generate a directional vector, using GPS and other wireless reference mediums, to create an Augmented Virtual Model (AVM) that incorporates As Built and Experiential Data for improved modeling, deployment, and maintenance of processing facilities, including data capture from sensors and smart devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional automated design tools are used to generate design plans, then design capabilities are improved, but the ability to specify direction of interest and track performance is limited
Solution Approach 1:
The patent combines automated design tool capabilities with geospatial positioning technology and directional vector generation. The system merges the design plan generation function with the ability to capture precise location and direction data, creating an integrated system that produces both design plans and performance tracking data.
Solution Approach 2:
The patent introduces a directional vector as an intermediary element that connects the design plan with the physical facility. This vector serves as a mediator that translates design intentions into measurable performance metrics by capturing the relationship between geospatial position and direction of interest.
2Loss of information
If virtual reality models are implemented, then visualization capabilities are improved, but the ability to accurately represent direction and location is limited without proper designation
Solution Approach 1:
The patent replaces manual designation of vantage points and directions with automated geospatial technology. Instead of relying on users to manually specify locations and orientations in virtual models, the system automatically captures this information through GPS and directional sensors, substituting mechanical/manual processes with automated measurement systems.
3Manufacturing precision
If design features are recreated in the field, then accuracy is improved, but the process becomes complex without indication of location and direction
Solution Approach 1:
The patent enables the modeling system to automatically capture and process location and direction data without requiring complex manual intervention. The system serves itself by using onboard sensors and automated processing to generate the necessary spatial information, eliminating the need for complex external measurement equipment and procedures.
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 enables precise modeling and tracking of facility performance, allowing for predictive analytics, efficient maintenance scheduling, and cost optimization by accurately representing the physical structure and its operational conditions within a virtual environment.
Implementation Method 1
It is known for a geospatial position to be ascertained based upon triangulation techniques. Such triangulation techniques may be based upon artificial location references, such as satellites and/or cell towers.
Implementation Method 2
The automated apparatus is also operative to model compliance with one or more performance levels for the Processing Facility related to processing of a Product. In another aspect, a virtual model of a Processing Facility extends beyond a design stage of the structure into an 'As Built" stage of the structure and additionally includes generation and analysis of Experiential Data capturing conditions realized by the Processing Facility during a Deployment stage of the structure.
Data Source
AI summary
Orienteering using a smart device. The smart device is operative to identify a position within a building and use fine-grain location monitoring to guide a user to a desired location. Upon reaching the desired location, the user can point the smart device at a wall or component and learn, query, or supplement technical details and other information about the wall or component. Technical details and other information are stored in an augmented virtual model of the building. Movement of the smart device, combined with fine-grain location monitoring, establishes a vector that is used as a directional query of the augmented virtual model. This allows easy contextual data entry into complex data structures with minimal user training. Additionally, an agent external to a building may receive information related to the building based upon a position and indicated direction of interest.