Elevator Control Adapting to Passenger States
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Solution Overview
Problem
Elevator systems lack the ability to dynamically adjust their operating conditions and features based on detected passenger states, such as emotional and health conditions, which can affect passenger comfort and safety.
Innovation Solution
Integration of sensing and computing systems within the elevator that monitor and respond to passenger states through direct or indirect detection methods, adjusting features like lighting, music, and travel speed based on detected emotional and health states, and incorporating user profiles for personalized experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If elevator systems operate with fixed operating conditions and features, then system simplicity is maintained, but passenger comfort and safety cannot be dynamically optimized based on detected passenger states
Solution Approach 1:
The elevator system dynamically adjusts operating conditions (acceleration, deceleration, travel speed) and features (lighting, music, displayed content) based on real-time detection of passenger states. The system transitions from static fixed parameters to dynamic adaptive parameters that respond to passenger emotional and health conditions, thereby improving adaptability while managing complexity through automated sensing and control.
2Reliability
If sensing and computing systems are integrated to monitor passenger states, then passenger comfort and safety are enhanced, but device complexity increases
Solution Approach 1:
The system integrates sensing devices that continuously monitor passenger states (emotional condition, health status) and feed this information back to the control system. The control system processes this feedback and automatically adjusts operating conditions and features accordingly. This closed-loop feedback mechanism enhances passenger safety and comfort while managing complexity through automated response protocols.
Solution Approach 2:
The elevator system performs self-monitoring and self-adjustment by automatically detecting passenger states and modifying its operation without requiring manual intervention. The integrated sensing and control systems enable the elevator to serve itself in optimizing passenger experience, thereby enhancing reliability while the automation reduces the operational burden despite increased system complexity.
3Measurement precision
If multiple detection methods (video analytics, heartbeat, breathing, sweating) are implemented, then detection precision is improved, but device complexity and cost increase
Solution Approach 1:
The system combines multiple detection methods (video analytics for facial expression analysis, heartbeat detection, breathing detection, sweating detection) into an integrated sensing platform. By merging these diverse detection technologies, the system achieves comprehensive and precise monitoring of passenger emotional and physical states. The combination of multiple sensing modalities compensates for individual limitations and provides more accurate overall detection despite increased complexity.
Solution Approach 2:
The detection system is designed with multi-functionality to handle various types of passenger state monitoring through a unified platform. The sensing and computing infrastructure serves multiple purposes: detecting emotional states through video analytics, monitoring health conditions through physiological sensors, and providing comprehensive passenger state assessment. This universal detection platform improves measurement precision across multiple parameters while managing complexity through integrated architecture.
Data Source
AI summary
Elevator systems and methods of use including an elevator car located within an elevator shaft, at least one sensing device arranged within the elevator car, an elevator controller arranged to control at least one of an operating condition and at least one feature within the elevator car, and a computing system in communication with the at least one sensing device and the elevator controller, wherein the computing system is arranged to detect a passenger state of a passenger within the elevator car and configured to control the operating conditions and features within the elevator car based on the detected passenger state.