RISK-AWARE MANAGEMENT OF ELEVATOR OPERATIONS

• US 20180273346A1
• Filed: 03/23/2017
• Published: 09/27/2018
• Est. Priority Date: 03/23/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hwang, Jinho, Tak, Byungchul, Vukovic, Maja
• Granted Patent: US 10,544,007 B2
• Time in Patent Office: Days
• CPC Class Codes: B66B 1/2408 where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller
• CPC Class Codes: B66B 1/468 Call registering systems
• CPC Class Codes: B66B 2201/4676 for checking authorization of the passengers
• CPC Class Codes: B66B 5/0012 Devices monitoring the users of the elevator system
• CPC Class Codes: B66B 5/025 where the abnormal operating condition is caused by human behaviour or misbehaviour, e.g. forcing the doors
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

Embodiments of the invention are directed to computer-implemented methods, computer systems, and computer program products for operating an elevator car. The method includes receiving first inputs from one or more sensors. The method further includes receiving second inputs from one or more cameras. The method further includes determining the presence of a passenger on the elevator using the first inputs and the second inputs. The method further includes determining a set of characteristics related to the passenger using the first inputs and the second inputs. The method further includes predicting a set of predicted actions of the passenger, using machine-learning techniques. The method further includes determining an action to perform based on the set of predicted actions.

Claims

1. A computer-implemented method for operating an elevator car, the method comprising:

receiving, by a processor, first inputs from one or more sensors;

receiving, by the processor, second inputs from one or more cameras;

determining, by the processor, the presence of a passenger on the elevator using the first inputs and the second inputs;

determining, by the processor, a set of characteristics related to the passenger using the first inputs and the second inputs;

predicting, by the processor, a set of predicted actions of the passenger, using machine-learning techniques; and

determining, by the processor, an action to perform based at least in part on the set of predicted actions.

2. The computer-implemented method of claim 1 further comprising:

determining, by the processor, that the passenger is a known passenger;

retrieving, by the processor, a set of attributes related to the known passenger from a knowledge base;

wherein;

the action to perform comprises customizing a display based on the set of attributes.

3. The computer-implemented method of claim 2 further comprising:

determining, by the processor, that the passenger requires assistance;

wherein;

the action to perform comprises contacting emergency authorities.

4. The computer-implemented method of claim 3 wherein:

determining that the passenger requires assistance comprises;

analyzing the first inputs;

analyzing the second inputs; and

comparing the first inputs and second inputs to a historical knowledge base of historical first inputs and second inputs to compute a predicted action of the passenger to determine that the passenger requires assistance.

5. The computer-implemented method of claim 3 wherein:

determining that the passenger requires assistance comprises comparing the inputs from the one or more sensors and the inputs from the one or more cameras to a knowledge base that includes passenger conditions.

6. The computer-implemented method of claim 5 wherein the inputs from the one or more sensors includes biometric data.

7. The computer-implemented method of claim 1 further comprising:

determining, by the processor, that the passenger is an unknown passenger;

using, by the processor, facial recognition techniques to compare the set of characteristics of the unknown passenger to characteristics of persons of interest.

8. The computer-implemented method of claim 7 wherein:

the action to perform comprises contacting emergency authorities.

9. The computer-implemented method of claim 7 wherein:

the action to perform comprises ceasing the operation of the elevator car in which the unknown person is present.

10. The computer-implemented method of claim 1 further comprising:

comparing, by the processor, performance of the elevator car at a current time to performance of the elevator at a previous time to determine a decrease in performance;

wherein;

the action to perform is requesting maintenance of the elevator car.

11. A computer system for operating an elevator car, the system comprising:

a memory; and

a processor system communicatively coupled to the memory;

the processor system configured to;

receive first inputs from one or more sensors; and

receive second inputs from one or more cameras;

determine the presence of a passenger on the elevator using the first inputs and the second inputs;

determine a set of characteristics related to the passenger using the first inputs and the second inputs;

predict a set of predicted actions of the passenger, using machine-learning techniques; and

determine an action to perform based on the set of predicted actions.

12. The computer system of claim 11 wherein the processor is further configured to:

determining that the passenger is a known passenger;

retrieving a set of attributes related to the known passenger from a knowledge base;

wherein;

the action to perform comprises customizing a display based on the set of attributes.

13. The computer system of claim 12 wherein the processor is further configured to:

determine that the passenger requires assistance;

wherein;

the action to perform comprises contacting emergency authorities.

14. The computer system of claim 13 wherein:

determining that the passenger requires assistance comprises;

analyzing the first inputs;

analyzing the second inputs; and

comparing the first inputs and second inputs to a historical knowledge base of historical first inputs and second inputs to compute a predicted action of the passenger to determine that the passenger requires assistance.

15. The computer system of claim 13 wherein:

determining that the passenger requires assistance comprises comparing the inputs from the one or more sensors and the inputs from the one or more cameras to a knowledge base that includes passenger conditions.

16. The computer system of claim 15 wherein the inputs from the one or more sensors includes biometric data.

17. The computer system of claim 11 wherein the processor is further configured to:

determine that the passenger is an unknown passenger;

use facial recognition techniques to compare the set of characteristics of the unknown passenger to characteristics of persons of interest.

18. The computer system of claim 17 wherein:

the action to perform comprises contacting emergency authorities.

19. The computer system of claim 17 wherein:

the action to perform comprises ceasing the operation of the elevator car in which the unknown person is present.

20. The computer program product comprising:

a computer-readable storage medium having program instructions embodied therewith, the program instructions readable by a processor system to cause the processor system to perform a method comprising;

receiving first inputs from one or more sensors;

receiving second inputs from one or more cameras;

determining the presence of a passenger on the elevator using the first inputs and the second inputs;

determining a set of characteristics related to the passenger using the first inputs and the second inputs;

predicting a set of predicted actions of the passenger, using machine-learning techniques; and

determining an action to perform based on the set of predicted actions.