公开(公告)号：US20210101776A1

公开(公告)日：2021-04-08

申请号：US17062091

申请日：2020-10-02

Applicant: Otis Elevator Company

Inventor： Stephen R. Nichols ,  Matteo Rucco ,  Jose Miguel Pasini ,  Cecilia Tonelli ,  Andrea De Antoni ,  David R. Polak

IPC: B66B1/28 ,  B66B5/00 ,  B66B1/46 ,  B66B3/00

Abstract: A method of controlling operation of an elevator system (2), the elevator system (2) including a hoistway (4) extending between a plurality of landings (8) situated on different floors (9), and at least one elevator car (6) configured for moving along the hoistway (4) between the plurality of landings (8). The method includes receiving a control input indicating a passenger transport request, wherein the control input comprises at least one passenger transport request parameter; monitoring passengers (30) within or outside the elevator car (6) and determining at least one passenger parameter associated with the passengers (30); comparing the at least one passenger transport request parameter with the at least one passenger parameter; and controlling further operation of the elevator system (2) based on the result of said comparison.

公开(公告)号：US20210024326A1

公开(公告)日：2021-01-28

申请号：US16935725

申请日：2020-07-22

Applicant: Otis Elevator Company

Inventor： David R. Polak ,  Stephen Richard Nichols ,  Matteo Rucco ,  Cecilia Tonelli ,  Andrea De Antoni ,  Jose Miguel Pasini ,  Giacomo Gentile

IPC: B66B5/00 ,  B66B1/34 ,  B66B1/46 ,  B66B1/36 ,  G06N20/00

Abstract: A method for crowd prediction in an elevator system includes logging the number of calls across a period of time and generating a first time series for an average number of calls; collecting external influence data and generating a second time series for the external influence data; performing a cross-correlation test on the first and second time series; when a cross-correlation between the first and second time series is determined, performing a causality test on the first and second time series; and when a causal relationship between the first and second time series is determined, using the causal relationship to predict an expected number of calls in the elevator system.