Predictive analytics to determine elevator path and staging

Patent metadata

Field	Value
Publication number	US-10689225-B2
Application number	US-201815905878-A
Country	US
Kind code	B2
Filing date	Feb 27, 2018
Priority date	Apr 10, 2017
Publication date	Jun 23, 2020
Grant date	Jun 23, 2020

Abstract

In an approach for determining an optimal path for an elevator, a processor receives information, wherein the information includes social media data associated with a user and calendar entries associated with the user, indicating one or more locations within a building. A processor analyzes the received information. A processor determines a location to send an elevator within the building to minimize movement of the elevator, based on the analyzed information. A processor causes the elevator to move to the location.

First claim

What is claimed is:

1. A method for determining an optimal path for an elevator, the method comprising:
receiving, by one or more processors, information, wherein the information includes badge access data, facial recognition sensor data, weight sensor data, historical elevator usage data, mass transit data, weather data, courier data, social media data associated with a user, and calendar entries associated with the user, indicating one or more locations within a building;
analyzing, by one or more processors, the received information, wherein analyzing the received information comprises:
predicting, by one or more processors, elevator utilization and elevator traffic for at least one floor throughout a day, based on historical usage trends associated with the received information;
predicting, by one or more processors, movement of the user within the building, based on the calendar entries and the social media data;
determining, by one or more processors, occupancy ratio and predicting elevator usage, based on data obtained from badge, closed circuit television, and facial recognition sources;
determining, by one or more processors, a time of courier arrival and a destination within the building to predict elevator usage;
predicting, by one or more processors, occupancy related to road closures and difficulties to make it to the building that arise due to inclement weather;

determining, by one or more processors, a location to send an elevator within the building to minimize movement of the elevator, based on the analyzed information; and
causing, by one or more processors, the elevator to move to the location.

Assignees

• IBM

Inventors

• Barajas Gonzalez Emmanuel
• Harrington Shaun E
• Mcgregor Harry R
• Moore Christopher B

Classifications

• B66B2201/402

  by historical, statistical or predicted traffic data, e.g. by learning · CPC title

• B66B2201/243

  Distribution of elevator cars, e.g. based on expected future need · CPC title

• B66B2201/235

  Taking into account predicted future events, e.g. predicted future call inputs · CPC title

• B66B1/2408 Primary

  where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller · CPC title

• B66B2201/4676

  for checking authorization of the passengers · CPC title