Intelligent Elevator Control Prioritizing Urgent Passengers
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Solution Overview
Problem
Current elevator systems do not account for the urgency of passengers' needs, leading to delays for those who require immediate access, such as hospital patients or pregnant women.
Innovation Solution
An intelligent elevator control system equipped with cameras, a processor, and a priority determination module that uses image recognition and machine learning algorithms to assess passenger urgency and prioritize elevator stops based on predefined priority levels, ensuring timely access for those with higher needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional elevator control systems are used, then the system structure is simple and easy to operate, but passengers with urgent needs experience long wait times
Solution Approach 1:
The patent replaces traditional mechanical/electrical elevator control systems with an intelligent control system that uses image recognition technology. The system captures images of passengers waiting for the elevator, recognizes their identities, and determines priority levels based on pre-stored information, thereby reducing wait times for urgent passengers while maintaining system manageability through automated decision-making
Solution Approach 2:
The intelligent control system automatically performs passenger identification, priority determination, and elevator dispatch decisions without requiring manual intervention. The system self-manages the complex task of prioritizing passengers based on image recognition and pre-stored priority information, reducing wait times while the automated nature keeps the operational complexity manageable
2Productivity
If priority-based control is implemented, then urgent passengers receive faster service, but the control algorithm complexity increases
Solution Approach 1:
The system performs preliminary action by pre-storing priority information for different passenger types before the elevator operation begins. When passengers are captured by the image recognition system, their identities are recognized and pre-stored priority levels are retrieved, allowing immediate priority-based dispatch decisions without complex real-time calculations, thus improving service efficiency while keeping algorithms manageable
Solution Approach 2:
The patent applies local quality by assigning different priority levels to different passenger types based on their specific needs. The system identifies passenger categories through image recognition and applies localized priority treatment (e.g., higher priority for elderly, children, or urgent cases) rather than treating all passengers uniformly, thereby improving overall productivity while the rule-based approach keeps algorithm complexity controlled
Data Source
AI summary
A method for intelligent control of an elevator to give priority to a floor containing the total highest priority of passengers acquires first images taken by first cameras, identifies targets in the first images, and determines priority levels of the targets. In response to receiving a plurality of first service signals from a number of floors in a building, the method controls a driving unit to drive an elevator to move to service the passengers as targets with a highest total priority level according to individual priority levels of the targets within a group of passengers waiting on each floor of the building.