Route Throughput Analysis for Building Bottleneck Detection
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Solution Overview
Problem
In large-scale buildings with multiple floors, identifying bottlenecks in moving routes is challenging due to the increased complexity and computational demands of simulation processing, leading to potential oversight in determining if individuals can reach their destinations within a specified time.
Innovation Solution
An analysis device that evaluates throughput by analyzing the flow rate of objects through a route search unit, fragment generation, traffic flow rate addition, and comparative evaluation, allowing for the identification of bottlenecks before full simulation processing is conducted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simulation processing is performed to extract bottlenecks in large-scale buildings, then bottleneck identification accuracy is improved, but processing time increases significantly
Solution Approach 1:
The moving route is divided into multiple fragments at predetermined intervals. Each fragment is evaluated independently for throughput capacity, allowing the system to identify bottlenecks in specific segments without processing the entire route at once. This segmentation reduces computational complexity and processing time while maintaining identification accuracy.
Solution Approach 2:
The system performs preliminary evaluation of throughput capacity for each fragment before conducting full simulation processing. By pre-calculating the maximum allowable flow rate for each fragment and comparing it with actual traffic flow rates, the system can identify potential bottlenecks in advance, eliminating the need for time-consuming full building simulations.
2Measurement precision
If full simulation processing is conducted to evaluate moving routes, then route evaluation accuracy is improved, but computational complexity increases
Solution Approach 1:
The complex simulation processing is broken down into simpler fragment-level evaluations. Each fragment is assessed independently for throughput capacity using simplified calculations rather than full simulation, reducing overall computational complexity while maintaining evaluation accuracy through systematic coverage of all route segments.
Solution Approach 2:
The system extracts and evaluates only the critical parameters needed for bottleneck identification (throughput capacity and traffic flow rate) rather than performing complete simulation of all moving objects and interactions. This extraction approach maintains route evaluation accuracy while significantly reducing computational complexity.
3Measurement precision
If detailed bottleneck analysis is performed in large-scale buildings, then identification precision is improved, but processing time increases
Solution Approach 1:
The building layout is segmented into multiple fragments along moving routes, with each fragment evaluated independently for throughput capacity. This allows detailed bottleneck identification in specific high-risk areas without processing the entire building, reducing processing time while maintaining precision where needed.
Solution Approach 2:
The system applies different levels of analysis to different fragments based on their characteristics. Fragments with lower throughput capacity or higher traffic flow rates receive more detailed evaluation, while fragments with sufficient capacity are evaluated more simply. This local quality approach improves identification precision in critical areas without unnecessarily increasing processing time throughout the entire building.
Data Source
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AI summary
An analysis device that analyzes a flow rate of an object includes: a route search unit that searches for a moving route along which the object can move from a departure place to a destination set in a layout; a fragment generation unit that generates fragments obtained by dividing the moving route at a predetermined interval and calculates a throughput that is an object flow rate allowable value for each of the fragments; a traffic flow rate addition unit that sets a traffic flow rate of the object for each fragment based on a traffic flow rate set from the departure place to the destination; and a comparative evaluation unit that compares the throughput and the traffic flow rate of the object for each fragment to evaluate the throughput of the moving route.