Relative system response elevator dispatcher system using artificial intelligence to vary bonuses and penalties
US5024295A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Mar 3, 1989 |
| Grant date | Jun 18, 1991 |
| Priority date | — |
| Expiry date | Mar 3, 2009 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB66B2201/403
- WIPO fieldHandling
- WIPO sectorMechanical engineering
Abstract
An elevator system employing a micro-processor-based group controller (FIG. 2) communicating with the cars (3, 4) to assign cars to hall calls based on a Relative System Response (RSR) approach. However, rather than using unvarying bonuses and penalties, the assigned bonuses and penalties are varied using "artificial intellience" techniques based on combined historic and real time traffic predictions to predict the number of people behind a hall call, and, calculating and using the average boarding and de-boarding rates at "en route" stops, and the expected car load at the hall call floor. Prediction of the number of people waiting behind hall calls for a few minute intervals are made using traffic levels measured during the past few time intervals on that day as real time predictors, using a linear exponential smoothing model, and traffic levels measured during similar time intervals on previous similar days as historic traffic predictors, using a single exponential smoothing model. The remaining capacity in the car at the hall call floor is matched to the waiting queue using a hall call mismatch penalty. The car stop and hall stop penalties are varied based on the number of peopl…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.