Elevator vandalism monitoring system

Patent metadata

Field	Value
Publication number	US-11148906-B2
Application number	US-201816027878-A
Country	US
Kind code	B2
Filing date	Jul 5, 2018
Priority date	Jul 7, 2017
Publication date	Oct 19, 2021
Grant date	Oct 19, 2021

Abstract

An elevator vandalism monitoring system is configured to determine if an act of vandalism upon a component of an elevator system has occurred. The vandalism monitoring system includes a sensor, a processor, an electronic storage medium, a model, and a comparison module. The sensor is configured to monitor a detectable parameter associated with the component, and output a detectable parameter signal. The processor is configured to receive the detectable parameter signal. The model is stored in the electronic storage medium, and is associated with an expected parameter. The comparison module is executed by the processor, and is configured to generally compare the model to the detectable parameter signal for determining if a parameter anomaly exists.

First claim

What is claimed is:

1. An elevator vandalism monitoring system for determining an act of vandalism upon a component of an elevator system, the elevator vandalism monitoring system comprising:
a sensor configured to monitor a detectable parameter associated with the component, and output a detectable parameter signal; and
a processor configured to receive the detectable parameter signal;
an electronic storage medium;
a model stored in the electronic storage medium and associated with an expected parameter;
a vandalism comparison module executed by the processor, and configured to generally compare the model to the detectable parameter signal for determining if a parameter anomaly exists; and
an application loaded into a mobile device, and configured to receive a vandalism signal from the processor for notifying a user of the mobile device of the act of vandalism.

2. The elevator vandalism monitoring system set forth in claim 1 , wherein the vandalism comparison module applies a vandalism threshold to determine the existence of the parameter anomaly which is associated with the act of vandalism.

3. The elevator vandalism monitoring system set forth in claim 1 , wherein the mobile device is a smartphone.

4. The elevator vandalism monitoring system set forth in claim 1 , wherein the sensor is an accelerometer.

5. The elevator vandalism monitoring system set forth in claim 4 , wherein the detectable parameter is vibration and the component is an elevator door.

6. The elevator vandalism monitoring system set forth in claim 1 , wherein the sensor is an imaging device.

7. The elevator vandalism monitoring system set forth in claim 1 , wherein the component is a call panel.

8. The elevator vandalism monitoring system set forth in claim 1 , wherein the model is determined by an elevator health monitoring system.

9. An elevator system comprising:
a component;
a sensor configured to monitor a detectable parameter associated with the component and output a detectable parameter signal;
at least one processor configured to receive the detectable parameter signal;
at least one electronic storage medium; and
an elevator vandalism monitoring system including:
a model stored in the electronic storage medium, and associated with expected feature values associated with the component as a function of time,
a vandalism comparison module executed by the at least one processor, stored in the at least one electronic storage medium, and configured to generally compare the model to actual feature values extracted from the detectable parameter signal for determining if a feature anomaly exists, and

a health monitoring system configured to be at least in-part executed by the at least one processor, receive the parameter signal, extract the actual feature values from the parameter signal, and apply machine learning to determine a degradation level associated with the actual feature to develop the model.

10. The elevator system set forth in claim 9 , wherein the health monitoring system includes a feature generation module stored in one of the at least one electronic storage medium and executed by one of the at least one processor for extracting the actual feature values from the parameter signal.

11. The elevator system set forth in claim 10 , wherein the health monitoring system includes a fault detection module stored in one of the at least one electronic storage medium and executed by one of the at least one processor for analyzing the actual feature values and extracting feature derivations from the actual feature values indicative of changes in normal component operation.

12. The elevator system set forth in claim 11 , wherein the health monitoring system includes a fault classification module stored in one of the at least one electronic storage medium and executed by one of the at least one processor to classify the feature derivations into respective component faults.

13. The elevator system set forth in claim 12 , wherein the health monitoring system includes a degradation estimation module stored in one of the at least one electronic storage medium, executed by one of the at least one processor, and configured to apply machine learning to develop the model.

14. The elevator system set forth in claim 9 , wherein the feature anomaly is in excess of the degradation level.

15. The elevator system set forth in claim 9 , wherein the component is an elevator door.

16. The elevator system set forth in claim 9 , wherein the sensor is an accelerometer.

17. The elevator system set forth in claim 9 , wherein the sensor is an imaging device.

18. The elevator system set forth in claim 9 , further comprising:
a camera configured to record upon determination of the feature anomaly to confirm an act of vandalism.

Assignees

• Otis Elevator Co

Inventors

• Lovett Teems E

Classifications

• B66B5/0012 Primary

  Devices monitoring the users of the elevator system · CPC title

• B66B5/0018 Primary

  Devices monitoring the operating condition of the elevator system · CPC title

• B66B5/0006 Primary

  Monitoring devices or performance analysers (B66B5/02 takes precedence) · CPC title

• B66B13/06

  of sliding doors · CPC title