Elevator Congestion Evaluation for Mixed Human-Robot Mobility
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Solution Overview
Problem
Existing mobility operation evaluation systems fail to assess elevator congestion in environments with robots, as they only consider human movement, neglecting the impact of robots on elevator congestion.
Innovation Solution
A comprehensive mobility operation evaluation system that simulates the movement of both humans and robots, including elevator operations, using a model generation, demand calculation, route generation, simulation, and evaluation process to assess congestion and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only human movement is considered in mobility operation evaluation, then the evaluation system is simple and easy to implement, but it cannot accurately assess elevator congestion in environments with robots
Solution Approach 1:
The evaluation system is divided into separate modules: a movement model generation unit that creates models for different movable objects (humans and robots), a movement demand generation unit, a supervision control unit, a route generation unit, a movement simulation unit, an elevator simulation unit, and an evaluation unit. This segmentation allows the system to handle multiple object types while maintaining manageable complexity through modular design.
Solution Approach 2:
The movement model generation unit generates unified movement models that can represent both humans and robots, while the simulation units process movement demands from multiple sources simultaneously. The system uses a common evaluation framework that works for both human and robot movements, making the system multi-functional without requiring entirely separate evaluation systems.
2Reliability
If robot movement is included in the evaluation, then elevator congestion assessment becomes accurate, but the system complexity increases significantly
Solution Approach 1:
The system separates robot movement handling into distinct components: robot-specific movement models generated by the movement model generation unit, robot movement demands calculated by the movement demand generation unit, and robot movements simulated by the movement simulation unit. This segmentation isolates the added complexity to specific modules rather than overwhelming the entire system.
Solution Approach 2:
The supervision control unit acts as an intermediary that receives movement demands from multiple sources (humans and robots), allocates them appropriately, and coordinates the simulation processes. This intermediary manages the complexity of handling multiple object types by providing a centralized control layer that orchestrates the interactions between different movement sources and the elevator system.
3Productivity
If comprehensive movement simulation is performed, then operational efficiency can be evaluated accurately, but the computational resources and time required increase
Solution Approach 1:
The movement model generation unit generates movement models in advance before the actual simulation runs. The movement demand generation unit calculates movement demands beforehand based on predetermined patterns and parameters. This preliminary preparation of models and demands reduces the computational burden during the actual simulation execution, allowing comprehensive evaluation without excessive simulation time.
Solution Approach 2:
The system uses simulated movement models that replicate real-world movement patterns without requiring physical prototypes or extensive real-world testing. The virtual simulation environment copies essential movement characteristics and interactions, enabling accurate operational efficiency evaluation through computation rather than time-consuming physical experiments.
Data Source
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AI summary
Provided are a mobility operation evaluation system, a simulation system, and a mobility operation evaluation method capable of evaluating a congestion status of an elevator even in an environment in which there are movable object other than people. A movement model generation unit (11) of a mobility operation evaluation system (1) generates a movement model defining a condition related to movement of a plurality of movable objects. A movement demand generation unit (12) calculates a movement demand. The supervision control unit 13 allocates a movement demand to each movement model. A route generation unit (14) generates a movement route of each movement model. A movement simulation unit (15) simulates movement of each movement model. The elevator simulation unit 16 simulates an operation of the elevator. An evaluation unit (17) calculates evaluation values related to the movement of the movement models and an operation of the elevator from simulation results. An input/output unit (18) outputs the evaluation values.