Elevator Dispatch via Mobile Device Location and History
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Solution Overview
Problem
Current elevator systems require users to manually input their source and destination floors, which is inefficient and does not account for user preferences or travel patterns.
Innovation Solution
A method that automatically determines the source and destination floors by querying a user's mobile device, using location detection via beacons, GPS, calendar data, and travel history to suggest and confirm the floors, and updates this data for future predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of source and destination floors is required, then the system can accurately identify user travel information, but the operation time and user effort increase
Solution Approach 1:
The system pre-determines the source floor by detecting the mobile device's location using beacons or GPS before the elevator request is made. Travel history is pre-analyzed to predict destination floors, so when the user requests an elevator, the information is already prepared and only needs confirmation, eliminating manual input time while maintaining accuracy.
Solution Approach 2:
The system automatically queries the mobile device for location data and analyzes travel history without requiring user intervention. The source and destination floors are self-determined through automated processes including beacon detection, GPS location querying, and historical travel pattern analysis, freeing the user from manual input tasks.
2Loss of time
If automatic determination using mobile device technology is implemented, then the operation time is reduced, but the device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single automated process: location detection via beacons or GPS, travel history analysis, destination prediction, and user confirmation. This multi-functional approach consolidates what would otherwise require separate systems into one unified solution, managing complexity while delivering comprehensive automatic determination.
Solution Approach 2:
The mobile device serves as an intermediary between the user and the elevator system. It stores travel history, communicates location data to the elevator control system, and receives confirmation requests. This intermediary role simplifies the overall architecture by centralizing data management and communication functions in a device the user already possesses.
3Ease of operation
If generic elevator dispatching is used, then the system is simple to operate, but it does not account for user preferences or travel patterns
Solution Approach 1:
The system pre-analyzes travel history to identify patterns and predict destination floors before the user makes a request. By preparing personalized recommendations in advance based on historical data, the system maintains simple operation (user only needs to confirm) while delivering personalized service that adapts to individual travel preferences and patterns.
Solution Approach 2:
The system continuously learns from user behavior by analyzing confirmed and rejected destination suggestions. When users confirm predicted destinations or manually correct them, this feedback is fed back into the travel history database, allowing the system to refine its predictions and improve personalization over time while keeping the user interface simple.
Data Source
AI summary
A method for automatically dispatching an elevator 110 based on a user's location is provided. The method includes querying a device 104 to determine a user's source floor and confirming the user's source floor. The method also includes querying the device to suggest the user's destination floor based on a history of destination floors traveled to by the user; and confirming the user's destination floor.