Predictive Visualization Using Radiating Meshes for Collision Detection
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Solution Overview
Problem
Current collision avoidance systems in industrial settings, such as shipyards and construction sites, rely heavily on operator skill and situational awareness, leading to potential human errors and unintended collisions, resulting in damage and downtime.
Innovation Solution
A computer-implemented predictive visualization system that loads a digital rendering of an industrial venue, creates radiating meshes based on user-defined activities, checks for overlapping schedules, and generates notifications if collisions are detected, allowing for proactive collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision avoidance relies on operator skill and situational awareness, then human judgment can be applied, but human error occurs leading to collisions and downtime
Solution Approach 1:
The patent replaces the mechanical system of human operator judgment with an automated computer-based collision detection and notification system. The system uses software to monitor venue data, detect potential collisions, and notify operators, eliminating reliance on human situational awareness while maintaining high reliability through automated processing.
2Measurement precision
If a automated collision detection system is implemented, then collision detection accuracy improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer between raw venue data and collision detection logic. The venue data model serves as an intermediary representation that simplifies complex venue information into structured data that can be efficiently analyzed for collisions, reducing the complexity of the detection algorithm while maintaining high accuracy.
3Reliability
If real-time collision detection is performed, then collision prevention capability improves, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by maintaining a continuously updated venue data model that pre-processes and structures venue information in advance. This allows collision detection to operate on already-organized data rather than raw data, significantly reducing the time required for real-time collision analysis while maintaining comprehensive monitoring capability.
Data Source
AI summary
A system and method for generating and configuring predictive visualizations for industrial applications. The system comprises a module configured to load a user venue comprising a digital rendering of the industrial application and a plurality of digital models in the industrial application; a module configured to create a radiating chit based on a user defined activity for each digital model in the user venue; a module configured to generate an instance of a data layer for the user venue; a module configured to determine if the user defined activities are scheduled on overlapping times, and based on the schedule, proceeding with the user defined activity or creating a radiating mesh for the respective digital models defined in the venue; a module configured to determine a collision between the digital models utilizing the radiating meshes; and a module configured to visualize the collision on the digital rendering of the user venue.