A system includes an elevator system including an elevator car. The system also includes a control system configured to receive a crowd reduction indicator, determine an elevator car load reduction for the elevator car based on the crowd reduction indicator, adjust an elevator car load limit based on the elevator car load reduction, and trigger a mitigation action in the elevator system based on detecting a condition that exceeds the elevator car load limit.

An elevator system including: an elevator car configured to travel through an elevator shaft; a first guide beam extending vertically through the elevator shaft, the first guide beam including a first surface and a second surface opposite the first surface; a beam climber system configured to move the elevator car through the elevator shaft, the beam climber system including: a first wheel in contact with the first surface; and a first electric motor configured to rotate the first wheel; a first motor brake mechanically connected to the first electric motor, the first motor brake configured to slow the elevator car; and a brake condition based monitoring system configured to detect when the first motor brake is dragging.

An exemplary method includes distributing identifying tags to a plurality of potential elevator passengers so that each passenger has a uniquely identifiable one of the tags. Collective elevator system traffic information is determined based on monitoring movement of individual ones of the plurality of tags and corresponding elevator system operation.

An elevator device includes: a controller and an emergency terminal speed-limiting device to decelerate a car when speed of the car within a predetermined certain distance from an terminal end section of a shaft is detected to have reached or exceeded an overspeed reference. The overspeed reference is set smaller as a distance of the car from the terminal end section of the shaft decreases. The controller includes: a lower deceleration limit determination controller to determine a lower deceleration limit at which the speed of the car is caused to be at or below the overspeed reference, based on a position and a speed of the car within the certain distance from the terminal end section of the shaft, and a deceleration controller to control deceleration of the car within the certain distance, in a range greater than the lower deceleration limit determined by the lower deceleration limit determination unit.

Methods and systems of controlling elevators including detecting a landing stop for an elevator car, measuring load information associated with the stop, controlling stopping of the elevator at the landing using a machine based on at least one of the detected landing and the measured load information and performing dynamic compensation control of a motion state of the elevator with a computing system and the elevator machine. The dynamic compensation control includes receiving motion state information related to at least one motion state of the elevator car at the computing system, receiving the landing and load information at the computing system, applying a filter to the received information and generating a first control signal, and producing a control output from the first control signal to control the elevator machine to minimize oscillations, vibrations, excessive position deflections, and/or bounce of the elevator car at the detected landing.

An arrangement of counting passengers in an elevator using two separate counting mechanisms is disclosed. The elevator car typically has a curtain of light arranged to the door and a load weighing device arranged to measure the weight of the elevator car. From the information recorded by the curtain of light and the load weighing device, it is possible to count the number of passengers. The reliability of the counting results can be improved by processing the counting results for forming a combined counting result that provides a more reliable counting result when the independent counts deviate from each other.

The disclosure includes elevator emergency control systems and methods for use in an elevator. The elevator emergency control system may include a control station disposed external to multiple buildings. The control station may be configured to: determine that an emergency condition exists for the multiple buildings; in response to determining that the emergency condition exists for the multiple buildings, transmit a first emergency alert signal that directs a first group of elevators located in at least two buildings of the multiple building to enter an emergency mode, and the emergency mode results in the first group of elevators: traveling vertically downward with respect to a first group of structures; and answering down hall calls until the first group of elevators reaches an elevator weight capacity, an egress floor, or a combination thereof.

Provided are embodiments for identifying waiting passengers outside an elevator using deep learning and machine learning and automatically supporting social distancing for elevator passengers. Embodiments include receiving a call request from an elevator floor; capturing an image of the elevator floor registering the call request responsive to receiving the call request; and determining, from the image, a presence of one or more waiting passengers on the elevator floor registering the call request. Embodiments also include dispatching an elevator car to the elevator floor registering the call request; and controlling the elevator car based at least in part on determining the presence of the one or more waiting passengers.

An autonomous mobile method for an autonomous mobile device according to the present embodiment is an autonomous mobile method for an autonomous mobile device that autonomously moves in a facility provided with an elevator. When the total number of the autonomous mobile devices including other autonomous mobile devices in a car of the elevator is larger than a threshold that is a plural number, an operation mode of the car is switched from a general mode in which a human is allowed to enter the car to a dedicated mode in which the human is prohibited from entering the car.

A sensor module includes at least a camera module and one or more machine learning (ML) inference application-specific integrated circuits (ASICs), which are configured to detect the presence of people in an elevator. The sensor module includes at least one processor, which executes instructions that enable the sensor module to detect, count, and anonymously track one or more persons in an elevator. The sensor module may also sensors, such as an accelerometer and an altimeter, which are used to estimate the kinematic state of the elevator. The camera, ML ASIC(s), sensors, and embedded application enable the sensor device to anonymously monitor the movement of people through a building via the elevator. The ML ASIC(s) allow the sensor module to count occupants in the elevator in near-real time, enabling the sensor to transmit signals for controlling aspects of the elevator system.