US 11,697,571 B2
End-to-end cognitive elevator dispatching system
Wen Wang, Beijing (CN); Rong Fu, Ningbo (CN); Zhuo JP Cai, Beijing (CN); Hao Sheng, Zhejiang (CN); Jian Dong Yin, Beijing (CN); and Kang ED Zhang, Shanghai (CN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Oct. 30, 2018, as Appl. No. 16/174,869.
Prior Publication US 2020/0130984 A1, Apr. 30, 2020
Int. Cl. B66B 1/24 (2006.01); G05B 13/04 (2006.01); G05B 13/02 (2006.01); B66B 5/00 (2006.01); B66B 1/46 (2006.01)
CPC B66B 1/2458 (2013.01) [B66B 1/468 (2013.01); B66B 5/0012 (2013.01); G05B 13/027 (2013.01); G05B 13/048 (2013.01); B66B 2201/20 (2013.01); B66B 2201/235 (2013.01); B66B 2201/243 (2013.01); B66B 2201/402 (2013.01); B66B 2201/403 (2013.01); B66B 2201/4638 (2013.01); B66B 2201/4653 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of controlling elevator dispatch, comprising:
collecting, by a number of input devices, user data from a number of users, wherein the user data includes user behavior over a specified time period;
collecting, by an elevator control system, elevator use data for a number of elevators in a building over the specified time period;
constructing, by a number of processors applying the user data and elevator use data, an elevator dispatch model that predicts future elevator use according to predicted user needs;
dispatching, by the elevator control system, the elevators according to the dispatch model; and
refining, by a number of processors, the elevator dispatch model according to feedback data collected from users over a subsequent time period.