ELEVATOR VANDALISM MONITORING SYSTEM
    12.
    发明申请

    公开(公告)号:US20190010018A1

    公开(公告)日:2019-01-10

    申请号:US16027878

    申请日:2018-07-05

    Inventor: Teems E. Lovett

    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.

    Elevator sensor calibration
    14.
    发明授权

    公开(公告)号:US11014780B2

    公开(公告)日:2021-05-25

    申请号:US15642439

    申请日:2017-07-06

    Abstract: According to an aspect, an elevator sensor calibration system includes one or more sensors operable to monitor an elevator system, an elevator sensor calibration device, and a computing system. The computing system includes a memory and a processor that collects a plurality of baseline sensor data from the one or more sensors during movement of an elevator component, collects a plurality of disturbance data from the one or more sensors while the elevator component is displaced responsive to contact with the elevator sensor calibration device during movement of the elevator component, and performs analytics model calibration to calibrate a trained model based on one or more response changes between the baseline sensor data and the disturbance data.

    Elevator sensor system calibration
    15.
    发明授权

    公开(公告)号:US10829344B2

    公开(公告)日:2020-11-10

    申请号:US15642465

    申请日:2017-07-06

    Abstract: According to an aspect, a method of elevator sensor system calibration includes collecting, by a computing system, a plurality of data from one or more sensors of an elevator sensor system while a calibration device applies a known excitation. The computing system compares an actual response to an expected response to the known excitation using a trained model. The computing system performs analytics model calibration to calibrate the trained model based on one or more response changes between the actual response and the expected response.

    MAINTENANCE SCHEDULING BASED ON REMOTE MONITORING DATA AND SERVICE DATA ANALYTICS

    公开(公告)号:US20200002125A1

    公开(公告)日:2020-01-02

    申请号:US16024130

    申请日:2018-06-29

    Abstract: Embodiments include a system and method for scheduling maintenance based on remote monitoring data and service data analytics. The embodiments include a controller configured monitor performance of one or more units, a remote system configured to store service data associated with the one or more units, and a processor operably coupled to the controller and the remote system. The processor is configured to receive monitoring data from the controller for the one or more units, and receive service data for the one or more units. The remote system is also configured to generate a health score based at least in part on the monitoring data and the service data. The processor is further configured to predict a failure based at least in part on the health score, and execute an action based at least in part on the generated health score.

    ROUTE RECOMMENDATION SYSTEM FOR FIELD SERVICE TECHNICIANS

    公开(公告)号:US20190353494A1

    公开(公告)日:2019-11-21

    申请号:US15981966

    申请日:2018-05-17

    Abstract: A system for providing route recommendations for field service technicians is provided. The system includes a processor for performing operations that include identifying a current geographic location of a service technician and receiving a list of tasks for the service technician. A plurality of route options are generated for the service technician based at least in part on the list of tasks and the current geographic location of the service technician. Each of the plurality of route options includes a geographic location of at least one of the tasks in the list of tasks. The route options are output.

    Anonymous and ephemeral tokens to authenticate elevator calls

    公开(公告)号:US10319160B2

    公开(公告)日:2019-06-11

    申请号:US15435395

    申请日:2017-02-17

    Abstract: According to one or more embodiments, a system and method for authorizing a user securing an elevator call in a building is provided. For example, the method includes receiving, at a mobile device, a secure authorization token that includes an expiration time, connecting the mobile device to a backend system using the secure authorization token from the mobile device, verifying, using the backend system, an authenticity of the secure authorization token from the mobile device based on at least the expiration time, generating, at the backend system, a secure access token and a random number in response to the authenticity of the secure authorization token being verified, and receiving, at the mobile device, the secure access token and the random number for use making elevator call requests.

    ELEVATOR SENSOR CALIBRATION
    19.
    发明申请

    公开(公告)号:US20190010019A1

    公开(公告)日:2019-01-10

    申请号:US15642439

    申请日:2017-07-06

    Abstract: According to an aspect, an elevator sensor calibration system includes one or more sensors operable to monitor an elevator system, an elevator sensor calibration device, and a computing system. The computing system includes a memory and a processor that collects a plurality of baseline sensor data from the one or more sensors during movement of an elevator component, collects a plurality of disturbance data from the one or more sensors while the elevator component is displaced responsive to contact with the elevator sensor calibration device during movement of the elevator component, and performs analytics model calibration to calibrate a trained model based on one or more response changes between the baseline sensor data and the disturbance data.

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