Elevator management according to probabilistic destination determination

Patent metadata

Field	Value
Publication number	US-9988237-B1
Application number	US-201615363306-A
Country	US
Kind code	B1
Filing date	Nov 29, 2016
Priority date	Nov 29, 2016
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

Embodiments of the present invention provide a method, system and computer program product for smart elevator car destination management according to probabilistic destination determination. In an embodiment of the invention, a method for smart elevator car destination management according to probabilistic destination determination includes predicting a set of passengers requesting use of an elevator car in a bank of elevator cars in a building and determining a probability for each of the passengers that each passenger will select as a destination a particular floor in the building. The method also includes grouping ones of the passengers in the set according to a common floor determined to be probable for the grouped ones of the passengers. Finally, the method includes displaying in connection with the bank of elevator cars an assignment of the grouped ones of the passengers to one of the elevator cars in the bank.

First claim

We claim:

1. A method for smart elevator car destination management according to probabilistic destination determination, the method comprising:
predicting a set of passengers requesting use of an elevator car in a bank of elevator cars in a building;
determining a probability for each of the passengers that each passenger will select as a destination a particular floor in the building;
grouping ones of the passengers in the set according to a common floor determined to be probable for the grouped ones of the passengers; and,
displaying in connection with the bank of elevator cars an assignment of the grouped ones of the passengers to one of the elevator cars in the bank.

2. The method of claim 1 , wherein the set of passengers is predicted by detecting a sensor affixed to each of the passengers in proximity to the bank of elevator cars.

3. The method of claim 1 , wherein the set of passengers is predicted based upon different calendar entries indicating meeting times within the building for each of the passengers.

4. The method of claim 1 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers based upon a frequency of past selections of particular floors in the building by the specific one of the passengers.

5. The method of claim 1 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers in reference to a calendar entry in a corresponding calendar of the specific one of the passengers indicating a meeting at a particular time on a particular floor in the building.

6. A smart elevator data processing system configured for smart elevator car destination management according to probabilistic destination determination, the system comprising:
a host computing platform comprising one or more computers, each with memory and at least one processor;
a display coupled to the host computing platform and disposed in proximity to a bank of elevator cars in a building; and,
a smart elevator car destination management module executing in the memory of the host computing platform, the module comprising program code enabled during execution in the memory of the host computing platform to predict a set of passengers requesting use of an elevator car in the bank of elevator cars in the building, to determine a probability for each of the passengers that each passenger will select as a destination a particular floor in the building, to group ones of the passengers in the set according to a common floor determined to be probable for the grouped ones of the passengers and to displaying in the display an assignment of the grouped ones of the passengers to one of the elevator cars in the bank.

7. The system of claim 6 , wherein the set of passengers is predicted by detecting a sensor affixed to each of the passengers in proximity to the bank of elevator cars.

8. The system of claim 6 , wherein the set of passengers is predicted based upon different calendar entries indicating meeting times within the building for each of the passengers.

9. The system of claim 6 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers based upon a frequency of past selections of particular floors in the building by the specific one of the passengers.

10. The system of claim 6 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers in reference to a calendar entry in a corresponding calendar of the specific one of the passengers indicating a meeting at a particular time on a particular floor in the building.

11. A computer program product for smart elevator car destination management according to probabilistic destination determination, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method comprising:
predicting a set of passengers requesting use of an elevator car in a bank of elevator cars in a building;
determining a probability for each of the passengers that each passenger will select as a destination a particular floor in the building;
grouping ones of the passengers in the set according to a common floor determined to be probable for the grouped ones of the passengers; and,
displaying in connection with the bank of elevator cars an assignment of the grouped ones of the passengers to one of the elevator cars in the bank.

12. The computer program product of claim 11 , wherein the set of passengers is predicted by detecting a sensor affixed to each of the passengers in proximity to the bank of elevator cars.

13. The computer program product of claim 11 , wherein the set of passengers is predicted based upon different calendar entries indicating meeting times within the building for each of the passengers.

14. The computer program product of claim 11 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers based upon a frequency of past selections of particular floors in the building by the specific one of the passengers.

15. The computer program product of claim 11 , wherein the probability of selecting as a destination a particular floor in the building is determined for a specific one of the passengers in reference to a calendar entry in a corresponding calendar of the specific one of the passengers indicating a meeting at a particular time on a particular floor in the building.

Assignees

• IBM

Inventors

• Arguedas Juan Gabriel Rodriguez
• Duran Edgar Adolfo Zamora
• Nunez Roxana Monge
• Liebinger Portela Franz Friedrich

Classifications

• B66B2201/223

  Taking into account the separation of passengers or groups · 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

• B66B3/006

  for guiding passengers to their assigned elevator car · CPC title

• B66B2201/402

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

• B66B1/468

  Call registering systems · CPC title