"""Artificial intelligence"", based learning system predicting ""peak-period"" t i"
US5241142A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jan 22, 1991 |
| Grant date | Aug 31, 1993 |
| Priority date | — |
| Expiry date | Jan 22, 2011 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/91
- 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 rate is predicted, based on historical information of the number of passengers boarding the elevators at the lobby and the number elevators leaving the lobby. The predicted lobby boarding rate is compared with a predetermined threshold value. If the predicted lobby boarding rate 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 elevator car's capacity. 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 tha…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.