Building People Flow Estimation Using BIM-Based Movement Demand
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Solution Overview
Problem
Existing systems for estimating elevator movement demand and people flow require manual input of movement demand data, which is complex and depends on building structure and simulation knowledge, making it difficult to accurately predict elevator operation conditions.
Innovation Solution
A system and method that utilizes architectural model data, such as BIM data, to estimate movement demand by associating it with in-building personnel databases and movement demand distribution databases, calculating personnel numbers and movement demands, and simulating elevator operations based on architectural model data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual preparation of movement demand data is used, then estimation accuracy can be maintained, but the process complexity and required expertise increase significantly
Solution Approach 1:
The system automatically generates movement demand data by processing architectural model data itself, without requiring manual preparation. The architectural model data is automatically converted into movement demand data through computational processes, allowing the system to serve itself rather than requiring external manual input.
Solution Approach 2:
The manual mechanical process of preparing movement demand data through expert knowledge and simulation is replaced by an automated computational system. The system uses algorithms to process architectural model data and automatically generate movement demand data, substituting human expertise with automated mechanical/computational processes.
2Ease of operation
If automated estimation using architectural model data is used, then data preparation ease improves, but estimation accuracy may deteriorate due to lack of manual refinement
Solution Approach 1:
The system incorporates feedback mechanisms where the generated movement demand data is processed through simulation to evaluate elevator operation conditions. This feedback loop allows the system to refine its estimations by analyzing the results of simulated elevator operations and adjusting the movement demand data accordingly, maintaining accuracy while preserving ease of automated operation.
3Reliability
If detailed movement demand data is prepared manually, then simulation reliability improves, but the time required for data preparation increases
Solution Approach 1:
The system performs preliminary automated processing of architectural model data to generate movement demand data before the simulation phase. This preliminary action eliminates the time-consuming manual preparation step by pre-computing the necessary data structures and parameters automatically from the architectural models, thereby reducing overall simulation preparation time while maintaining reliability.
Data Source
AI summary
A people flow estimation system uses input of movement model data to create movement demand data and estimate the flow of people inside a building using architectural model data. The people flow estimation system is characterized by identifying the names or uses of rooms in the building and the density of in-building personnel; recording occurrence distribution of movement demand inside the building with respect to a reference time; converting the architectural model data into layout data; calculating the number of in-building personnel in a room; and calculating movement demand data from the number of in-building personnel and the data from the recorded movement demand distribution.