EP-4737373-A1 - DISTRIBUTED PEOPLE MOVER SYSTEM CONFIGURED TO PROVIDE SOLUTIONS TO TECHNICAL OPERATIONAL ISSUES USING AUGMENTED REALITY AND ACCUMULATED DATA

EP4737373A1EP 4737373 A1EP4737373 A1EP 4737373A1EP-4737373-A1

Abstract

A system configured for resolving a technical anomaly condition in a people mover system, the system having: a sensor configured generate sensor data indicative of an operational parameter associated with the people mover system; and a system controller module configured to receive over a first communication channel, state data indicative of the operational parameter obtained from the sensor data, apply the state data, as input to a generative Al model and identify an anomaly condition in the people mover system, wherein the system controller module is configured to transmit instructional data to a mobile device over a second communication channel, wherein the instructional data contains one or more of: written instructions identifying where to locate the anomaly; or data to identify the anomaly condition, including one or more of sound data; or image data; or video data; and corrective actions for resolving the anomaly condition.

Inventors

Vushakola, Ranjit Kumar
LADI, SRINIVASARAO

Assignees

Otis Elevator Company

Dates

Publication Date: 20260506
Application Date: 20251023

Claims (15)

A system configured for resolving a technical anomaly condition in a people mover system, the system comprising: a sensor configured generate sensor data indicative of an operational parameter associated with the people mover system; and a system controller module configured to receive over a first communication channel, state data indicative of the operational parameter obtained from the sensor data, apply the state data, as input to a generative AI model and identify an anomaly condition in the people mover system, wherein the system controller module is configured to transmit instructional data to a mobile device over a second communication channel, wherein the instructional data contains: one or more of: written instructions identifying where to locate the anomaly; or data to identify the anomaly condition, including one or more of sound data; image data; or video data; and corrective actions for resolving the anomaly condition.
The system of claim 1, wherein the system controller module is configured to transmit alert data to the mobile device upon identifying the anomaly condition that is separate from transmitting the instructional data.
The system of claim 1 or 2, wherein the instructional data further identifies a location of the anomaly condition.
The system of claim 3, wherein the people mover system includes a people mover that is an escalator, an elevator or a moving platform and the state data is indicative of an operational state of the people mover.
The system of claim 4, wherein the people mover is the elevator, the people mover system includes an elevator machine, and the state data is indicative of an operational state of the elevator machine.
The system of claim 4 or 5, wherein the system controller module is configured to transition the people mover system into a service mode and instruct the people mover to move to the location of the anomaly condition, to thereby transport a technician to the location of the anomaly condition to service the people mover system.
The system of any of claims 4 to 6, wherein the mobile device is a mobile phone or a peripheral device configured for processing multi-modal data, including one or more of text, sound, image and video, in the instructional data, for communicating the instructional data by the mobile device as augmented reality to a technician.
The system of claim 6, wherein controller module repeatedly receives and processes the state data, generates updates to the instructional data and transmits the instructional data as updated to the mobile device while the people mover system is in the service mode and until the controller module determines that the state data indicates the operational parameter of the people mover system is within a predetermined normal operating range.
The system of any of claims 1 to 8, wherein: the generative AI model is trained on data including one or more of commissioning data, heartbeat data, code version update data and maintenance data.
The system of any of claims 1 to 9, wherein: the sensor includes one or more of a speed sensor, a vibration sensor, a load sensor, a door operation sensor and a health sensor, wherein the health sensor is configured to sense a mechanical failure in the people mover system; and the first communication channel is a wired or wireless channel and the second communication channel is a wireless channel that is the same as or different form the first communication channel.
A method of resolving a technical anomaly in a people mover system, comprising: receiving, by a system controller module over first communication channel, state data indicative of an operational parameter associated with the people mover system, that was obtained by a sensor configured to sense the operational parameter; applying, by the system controller module, the state data as input to a generative AI model, to identify an anomaly condition in the people mover system; and transmitting, by the system controller module to a mobile device, over a second communication channel, instructional data to the mobile device, containing: one or more of: written instructions identifying where to locate the anomaly; or data to identify the anomaly condition, including one or more of sound data; or image data; or video data; and corrective actions for resolving the anomaly condition.
The method of claim 11, comprising transmitting, by the system controller module, alert data to the mobile device upon identifying the anomaly condition, wherein the transmitting of the alert data is separate from the transmitting of the instructional data; and/or wherein the instructional data further identifies a location of the anomaly condition.
The method of claim 11 or 12, wherein the people mover system includes a people mover that is an escalator, an elevator or a moving platform, and the state data is indicative of an operational state of the people mover; and/or wherein the people mover is the elevator, the people mover system includes an elevator machine, and the state data is further indicative of an operational state of the elevator machine.
The method of any of claims 11 to 13, comprising transitioning, by the system controller module, the people mover system into a service mode and instructing the people mover to move to the location of the anomaly condition to thereby transport the technical to the location of the anomaly condition to service the people mover system; and/or wherein the mobile device is a mobile phone, or a peripheral device, configured for processing multi-modal data, including one or more of text, sound, image and video, in the instructional data, for communicating the instructional data by the mobile device to a technician as augmented reality.
The method of any of claims 11 to 14, comprising repeatedly receiving and processing, by controller module, the state data, generating updates to the instructional data and transmitting the instructional data as updated to the mobile device while the people mover system is in the service mode and until the controller module determines that the state data indicates the operational parameter of the people mover system is within a predetermined normal operating range; and/or wherein the generative AI model is trained on data including one or more of commissioning data, heartbeat data, code version update data and maintenance data; and/or wherein: the sensor includes one or more of a speed sensor, a vibration sensor, a load sensor, a door operation sensor and a health sensor, wherein the health sensor is configured to sense a mechanical failure in the people mover system; and the first communication channel is a wired or wireless channel, and the second communication channel is a wireless channel that is the same as or different form the first communication channel.

Description

The embodiments relate to a distributed people mover system and more specifically to a distributed people mover system that is configured to provide a solution to a technical operational issue using augmented reality and accumulated data. It may often be a challenge for a technician to address (e.g., resolve) technical operational issues in the field. A technician, after attempting to identify a location of a technical problem and applying corrective measures, may be required to repeatedly ride an elevator to determine if the location and corrective measures were correctly identified and successfully implemented. This can cause delays and lead to assessment errors, resulting in additional downtime for the affected devices. A system configured for resolving a technical anomaly condition in a people mover system, the system comprising: a sensor configured generate sensor data indicative of an operational parameter associated with the people mover system; and a system controller module configured to receive over a first communication channel, state data indicative of the operational parameter obtained from the sensor data, apply the state data, as input to a generative AI model and identify an anomaly condition in the people mover system, wherein the system controller module is configured to transmit instructional data to a mobile device over a second communication channel, wherein the instructional data contains one or more of: written instructions identifying where to locate the anomaly; or data to identify the anomaly condition, including one or more of sound data; or image data; or video data; and corrective actions for resolving the anomaly condition. Particular embodiments further may include at least one, or a plurality of, the following optional features, alone or in combination with each other: In addition to one or more aspects of the system or as an alternate, the system controller module is configured to transmit alert data to the mobile device upon identifying the anomaly condition that is separate from transmitting the instructional data. In addition to one or more aspects of the system or as an alternate, the instructional data further identifies a location of the anomaly condition. In addition to one or more aspects of the system or as an alternate, the people mover system includes a people mover that is an escalator, an elevator or a moving platform and the state data is indicative of an operational state of the people mover. In addition to one or more aspects of the system or as an alternate, the people mover is the elevator, the people mover system includes an elevator machine, and the state data is indicative of an operational state of the elevator machine. In addition to one or more aspects of the system or as an alternate, the system controller module is configured to transition the people mover system into a service mode and instruct the people mover to move to the location of the anomaly condition, to thereby transport a technician to the location of the anomaly condition to service the people mover system. In addition to one or more aspects of the system or as an alternate, the mobile device is a mobile phone or a peripheral device configured for processing multi-modal data, including one or more of text, sound, image and video, in the instructional data, for communicating the instructional data by the mobile device as augmented reality to a technician. In addition to one or more aspects of the system or as an alternate, controller module repeatedly receives and processes the state data, generates updates to the instructional data and transmits the instructional data as updated to the mobile device while the people mover system is in the service mode and until the controller module determines that the state data indicates the operational parameter of the people mover system is within a predetermined normal operating range. In addition to one or more aspects of the system or as an alternate, the generative AI model is trained on data including one or more of commissioning data, heartbeat data, code version update data and maintenance data. In addition to one or more aspects of the system or as an alternate, the sensor includes one or more of a speed sensor, a vibration sensor, a load sensor, a door operation sensor and a health sensor, wherein the health sensor is configured to sense a mechanical failure in the people mover system; and the first communication channel is a wired or wireless channel and the second communication channel is a wireless channel that is the same as or different form the first communication channel. Disclosed is a method of resolving a technical anomaly in a people mover system, comprising: receiving, by a system controller module over first communication channel, state data indicative of an operational parameter associated with the people mover system, that was obtained by a sensor configured to sense the operational parameter; applying, by the system controll