US 2026/0145910 A1 · METHOD AND APPARATUS FOR ANALYSING OUT-OF-SERVICE EVENT OF A LIFT SYSTEM

Abstract

A method for analyzing an out-of-service event of an elevator system. In response to the occurrence of an out-of-service event, the method generates a first feature, a second feature, and a third feature, and uses a first machine learning model to determine the necessity of handling the out-of-service event based on the first feature, the second feature, and the third feature. In the method, the first feature is used to describe the likelihood of equipment failure occurring in the elevator system, the second feature is used to describe the equipment failure occurrence characteristics of a reference elevator system with a similar operational environment to the elevator system, and the third feature is used to describe the equipment failure occurrence characteristics of the elevator system.

Claims23

Dependent claims

A method for analyzing an out-of-service event of an elevator system, the method comprising following steps executed in response to occurrence of the out-of-service event:

generating a first feature, a second feature, and a third feature, wherein, the first feature is used to describe likelihood of equipment failure occurring in the elevator system, the second feature is used to describe equipment failure occurrence characteristics of a reference elevator system with a similar operational environment to the elevator system, and the third feature is used to describe equipment failure occurrence characteristics of the elevator system;
and
using a first machine learning model to determine necessity of handling the out-of-service event based on the first feature, the second feature, and the third feature.

An apparatus for analyzing an out-of-service event of an elevator system, comprising:

at least one processor;
at least one memory;
and
a computer program stored on the memory, which, when executed on the processor, responds to occurrence of the out-of-service event and causes following operations:
generating a first feature, a second feature, and a third feature, wherein the first feature is used to describe likelihood of equipment failure occurring in the elevator system, the second feature is used to describe equipment failure occurrence characteristics of a reference elevator system with a similar operational environment to the elevator system, and the third feature is used to describe equipment failure occurrence characteristics of the elevator system;
and
using a first machine learning model to determine necessity of handling the out-of-service event based on the first feature, the second feature, and the third feature.

4 more elements

Dependencies are inferred from the claim text.

Method and apparatus for analysing out-of-service event of a lift system

Life of this patent

Method and apparatus for analysing out-of-service event of a lift system

Life of this patent

Abstract

Claims23