Mixed Reality Evacuation Path Simulation
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Solution Overview
Problem
Existing evacuation plans in environments like office buildings and airports often fail to account for individuals with pre-existing conditions, injuries, and dynamic changes in floor space, leading to chaotic and unsafe evacuations.
Innovation Solution
A mixed reality simulator, such as MICROSOFT HOLOLENS, is used for spatial mapping and simulation to determine optimal evacuation paths, considering various parameters like time, collisions, and obstacles, and utilizing machine learning to adapt and improve evacuation strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional evacuation plans are used, then implementation is simple, but they fail to account for individual conditions and dynamic changes leading to unsafe evacuations
Solution Approach 1:
The patent creates virtual copies of the physical environment, personnel, and conditions through mixed reality simulation. The system generates digital twins of the evacuation scenario including holographic representations of people, obstacles, and environmental conditions, allowing safe virtual testing of evacuation plans without risking actual personnel safety.
Solution Approach 2:
The system performs preliminary simulation and analysis of evacuation scenarios before actual evacuation events. By pre-testing different evacuation routes, conditions, and strategies in the virtual environment, the system identifies optimal paths and potential problems beforehand, improving actual evacuation safety without adding complexity during the emergency itself.
2Adaptability or versatility
If evacuation plans account for all individual conditions and dynamic changes, then safety improves, but planning and implementation become complex
Solution Approach 1:
The evacuation simulation system dynamically adjusts virtual environmental conditions, personnel states, and obstacle positions to reflect real-time changes. The mixed reality environment continuously updates holographic representations based on sensor data, allowing the simulation to adapt to dynamic conditions while maintaining manageable system complexity through automated updates.
Solution Approach 2:
The system automatically collects data about individual personnel conditions, environmental changes, and obstacle positions through integrated sensors and inputs. This self-service data collection eliminates the need for manual tracking of each variable, enabling high adaptability without proportionally increasing operational complexity.
3Measurement precision
If mixed reality simulation with spatial mapping is used, then optimal paths are determined accurately, but system complexity and cost increase
Solution Approach 1:
The patent replaces traditional mechanical surveying and path planning methods with mixed reality simulation and spatial mapping technology. The system uses virtual holographic representations and computational algorithms to determine optimal paths, achieving superior accuracy compared to manual or mechanical measurement methods while centralizing complexity in a dedicated simulation system.
4Productivity
If multiple simulation scenarios are run to improve evacuation efficiency, then better plans are developed, but time and computational resources increase
Solution Approach 1:
The system executes multiple simulation scenarios in periodic cycles, each testing different evacuation strategies, routes, and conditions. By structuring simulations as discrete periodic runs rather than continuous processing, the system can efficiently evaluate multiple scenarios while managing computational resources and time investment for plan development.
Data Source
AI summary
In some examples, personnel movement simulation and control may include ascertaining, for a mixed reality simulator, attributes of a mixed reality simulation to be performed. The attributes may include an environment to be simulated, a personnel to be simulated, a holographic object to be included in the environment, and a goal of the mixed reality simulation. Personnel movement simulation and control may further include performing, based on the attributes, the mixed reality simulation. Further, personnel movement simulation and control may include determining, based on an analysis of the performed mixed reality simulation, an optimal path in the environment to meet the goal of the mixed reality simulation.


