Elevator Destination Dispatch with User Preference Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current destination dispatch elevator systems do not adequately consider user preferences such as desired car occupancy, wait time, and travel time when assigning elevator cars, leading to assignments that may not align with user desires.
Innovation Solution
A system and method that identifies users, retrieves their profiles, analyzes destination requests, and determines preferred car assignments based on user preferences, allowing users to opt-out or choose alternative assignments, incorporating user preferences like wait time, travel time, and car occupancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If destination dispatch systems use predetermined parameters for car assignment, then system efficiency is improved, but user preference alignment deteriorates
Solution Approach 1:
The system dynamically adjusts car assignment criteria by integrating real-time user preferences into the dispatch algorithm. The controller modifies assignment parameters based on individual user profiles containing occupancy preferences, wait time sensitivity, and travel time requirements, transforming the static predetermined parameter system into a dynamic adaptive system that balances overall efficiency with individual user needs
Solution Approach 2:
The system changes the parameters used for car assignment by incorporating multiple user-specific parameters (occupancy preference, wait time weight, travel time weight) into the dispatch calculation. The controller evaluates multiple assignments based on these varied parameters and selects the optimal one, allowing the system to adapt assignment criteria to match user preferences while maintaining efficiency
2Loss of time
If the system provides optimal car assignment based on predetermined parameters, then wait time is reduced, but user satisfaction deteriorates due to mismatched preferences
Solution Approach 1:
The system implements feedback by continuously monitoring user responses to assignments (acceptance or opt-out decisions) and using this information to refine future assignments. When users opt out of preferred assignments, the system learns from this feedback and adjusts subsequent assignments to better align with their actual preferences, improving both wait time management and user satisfaction through iterative optimization
Solution Approach 2:
The system performs preliminary actions by pre-calculating multiple potential assignments and presenting them to users before final assignment. This allows users to review options and provide input before being assigned, ensuring that the final assignment both minimizes wait time and aligns with user preferences through informed selection
Data Source
AI summary
A method and system for providing destination dispatch in an elevator control system, includes identifying a user, retrieving a user profile associated with the user, receiving a destination request associated with the user, analyzing the user profile and the destination request, determining a plurality of assignments, identifying a preferred assignment of the plurality of assignments, and prompting the user to opt-out of the preferred assignment.