An elevator taking user management system, which includes a detection apparatus, a processing module, and an output apparatus. The processing module is respectively electrically connected to the detection apparatus and the output apparatus. The detection apparatus detects the number of persons in an elevator waiting area; the processing module receives a signal at least indicating the detected number of persons sent by the detection apparatus, acquires the number of persons who have input target floors, further compares the detected number of persons with the number of persons who have input target floors at the floor where the detection apparatus is located, and when the detected number of persons is greater than the number of persons who have input target floors, sends a reminding signal; and the output apparatus is eclectically connected to the processing module, for receiving the reminding signal and presenting it in the elevator waiting area.

The present invention provides an elevator-calling control apparatus, an elevator-calling control system and an elevator-calling control method thereof, and belongs to the field of elevator control technologies. In an elevator-calling control process, the following steps are included: inputting an elevator-calling command; displaying elevator running state information and estimated time of arrival information of several elevators in a corresponding elevator group for a passenger to make reference, wherein the elevator running state information at least includes information that reflects a current crowding degree of the elevator; and selecting an elevator from the several elevators as the elevator that the passenger determines to take. The elevator-calling control of the present invention may facilitate a passenger to actively select an elevator that the passenger determines to take, which has good user elevator calling and taking experience and enhances the running efficiency of the elevator.

An aspect includes a system with a communication interface configured to receive a mobile device location indicator at a first location and a second location. The system also includes a memory system and a processing system configured to perform operations. The operations include detecting a mobile device at the first location and observing a current state of one or more conditions present during detection of the mobile device. A travel prediction of the mobile device between the first location and the second location is determined based on a travel history of the mobile device and the current state of the one or more conditions. A command is output to a dispatching system based on detection of the mobile device at the first location and the travel prediction of the mobile device to align with a predicted arrival of the mobile device at the second location.

An elevator scheduling method and an apparatus, a server, and a computer-readable storage medium are provided. The elevator scheduling method is applied to a server, and comprises: determining an elevator schedule request, wherein the elevator schedule request comprises starting floor information and target floor information; determining a target elevator to be scheduled to a target robot based on the elevator schedule request and operation information of schedulable elevators; generating a control instruction based on the starting floor information, the target floor information, and identification information of the target elevator; and sending the control instruction to an elevator control device, wherein the elevator control device controls movement of the target elevator.

A method for deploying a controller to an elevator system includes generating a request to at least one other controller for obtaining at least one parameter relating to a deployment of the controller to the elevator system, receiving a response, and in response to detection that the at least one parameter in the response comprises a set of operational parameters, initiating a configuration procedure, and in response to detection that the at least one parameter in the response does not comprise the set of operational parameters, deriving an identifier of the elevator system included as the at least one parameter in the response and generating a request including the identifier of the elevator system for obtaining the set of operational parameters. An elevator system is configured to perform the method.

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.

According to an aspect, there is provided a method for forecasting elevator passenger traffic of an elevator group. The method comprises training a statistical traffic model describing a traffic profile for a specific cycle with historical timestamped origin-destination passenger counts, obtaining timestamped origin-destination passenger counts for a current cycle, generating an elevator passenger traffic forecast based on the trained statistical traffic model and the timestamped origin-destination passenger counts for the current cycle, and outputting the elevator passenger traffic forecast for use by an elevator group control.

Provided are embodiments for a system and a method for performing passenger grouping in an elevator system. Embodiments includes receiving a call request placed by a user, and receiving user condition data for a user obtained using one or more sensors operably coupled to the controller. Embodiments also include calculating a final exposure rating based at least in part on the user condition data, and assigning the user to an elevator based at least in part on the final exposure rating.

According to an aspect, a method includes receiving a passenger request to reserve an elevator car of an elevator system to travel to a targeted destination. At least two different travel options to the targeted destination are determined based on a plurality of elevator car travel plans comprising at least two elevator cars having different travel ranges. The at least two different travel options are output to an interactive display. At least one of the at least two elevator cars is reserved responsive to a user selection of one of the at least two different travel options.