Elevator Congestion Control for Heterogeneous Agents
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Solution Overview
Problem
Existing elevator systems struggle to maintain carrying capacity and service performance when faced with an increased number of heterogeneous agents such as wheelchairs, personal mobility devices, and service robots, as these agents take longer and occupy more space than people.
Innovation Solution
A mobile body introduction assistance system that includes a congestion degree calculation unit to acquire and analyze congestion information, and a heterogeneous agent operation number calculation unit to determine the optimal number of heterogeneous agents to operate based on the calculated congestion degree, thereby optimizing elevator carrying capacity and service performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of heterogeneous agents increases, then the diversity and functionality of the building is improved, but the carrying capacity of the elevator deteriorates
Solution Approach 1:
The system dynamically adjusts the number of heterogeneous agents allowed to operate based on real-time congestion degree calculations. The heterogeneous agent operation number calculation unit determines the optimal number of agents to operate by acquiring congestion degree information and comparing it against threshold values, thereby adapting the system capacity to current demand conditions
Solution Approach 2:
The system changes the operational parameter of the number of heterogeneous agents based on congestion conditions. By using the congestion degree calculation unit to monitor building congestion levels and the heterogeneous agent operation number calculation unit to determine operational limits, the system adjusts agent operation numbers to maintain appropriate congestion levels while preserving elevator carrying capacity
2Object-affected harmful factors
If heterogeneous agents are made to stand by in a standby area, then the congestion in the service providing area is reduced, but the service performance of the robot deteriorates
Solution Approach 1:
The system implements a feedback mechanism where the congestion degree calculation unit continuously monitors building congestion levels and feeds this information to the heterogeneous agent operation number calculation unit. This feedback loop enables dynamic adjustment of the number of active agents based on real-time congestion conditions, preventing both excessive congestion and unnecessary standby periods
Solution Approach 2:
Instead of statically assigning agents to standby areas, the system dynamically determines the number of agents to operate based on real-time congestion degree information. This dynamic approach allows agents to transition between active and standby states based on actual building conditions, optimizing both congestion management and service performance
Data Source
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AI summary
This mobile body introduction assistance system includes: a congestion degree calculation unit; and a heterogeneous agent operation number calculation unit. The congestion degree calculation unit acquires information about a degree of congestion of people and a heterogeneous agent that are moving within a building, the heterogeneous agent being a mobile body different from the people. The heterogeneous agent operation number calculation unit determines the number of heterogeneous agents to operate on the basis of the congestion degree information acquired by the congestion degree calculation unit.