"""Artificial Intelligence"" based learning system predicting ""Peak-Period"" times for elevator dispatching"
US5035302A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Mar 2, 1990 |
| Grant date | Jul 30, 1991 |
| Priority date | — |
| Expiry date | Mar 2, 2010 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB66B2201/403
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
The present invention is directed to an elevator dispatching system for controlling the assignment of elevator cars. More particularly, the present invention is directed to a method of determining the commencement and/or conclusion of UP-PEAK and DOWN-PEAK periods of operation. For example, for commencing UP-PEAK operation, a lobby boarding count is predicted, based on historical information of the number of passengers boarding the elevators at the lobby. The predicted lobby boarding count is compared with a predetermined threshold value. If the predicted lobby boarding count is greater than the predetermined threshold value, UP-PEAK is commenced. In the preferred embodiment, the predetermined threshold value is a predetermined percentage of the building's population. Additionally, the present invention is directed to a method of adjusting the threshold value based on actual passenger traffic. For example, once UP-PEAK is commenced, the load of the first few elevators leaving the lobby within a predetermined time interval is determined, and the threshold value is adjusted based on their determined load. If the determined load is greater than a certain percentage of the elevator car…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.