958 results about "Elevator control" patented technology

The invention discloses an elevator taking optimization system and method based on artificial intelligence, and relates to an intelligent elevator control technology combining multi-mode perception, prediction model dynamic adjustment and reinforcement learning scheduling strategies. The method comprises the steps that firstly, elevator running states, environment information and passenger behavior data are collected through multiple types of sensors, and multi-modal scene perception vectors are generated; and secondly, elevator loads and floor requirements are predicted in real time through a dynamically-adjusted prediction model, the reward function weight in reinforcement learning is adjusted in a self-adaptive mode on the basis, and accurate response and intelligent scheduling of different scenes are achieved. The system forms a perception-prediction-scheduling closed loop, significantly reduces the waiting time of passengers through multi-objective optimization, reduces the energy consumption, and improves the safety and emergency processing capability. The method is suitable for various high-rise building elevator group control systems, and has high intelligence, flexibility and wide application value.

The invention relates to the technical field of elevator control and fault diagnosis, and discloses an elevator inverter fault pre-diagnosis and fault-tolerant control system and method based on digital twinning, and the system comprises a high-fidelity digital twinning body building module which is used for building a digital twinning body of an elevator inverter, the digital twin integrates an electric-thermal-stress coupling model, a device-level aging model, a parasitic parameter influence model and a driving circuit and protection logic model; wherein the electric-thermal-stress coupling model is used for simulating loss, junction temperature fluctuation and thermal stress circulation of a power device, and the device-level aging model is used for representing a time-varying degradation rule of device parameters. Through deep fusion of a digital twin technology, fault diagnosis and fault-tolerant control, a closed-loop system of'perception-pre-diagnosis-decision-control 'is constructed, the safety, reliability and economical efficiency of the elevator inverter are comprehensively improved, and the method has important significance in promoting transformation of the elevator industry to intelligent and unmanned maintenance.

The invention discloses an elevator energy-saving control system based on a conversion module, which relates to the field of elevator control and comprises a battery module, the conversion module and an energy-saving control module, the battery module is connected with at least one elevator; the AC side of the conversion module is connected with commercial power, and the DC side of the conversion module is connected with the battery module; the energy-saving control module is connected with the battery module, and the energy-saving control module is in communication connection with the battery module and the conversion module. The stable operation of the elevator is guaranteed, the electricity utilization economical efficiency of the elevator is effectively improved, and the electricity utilization cost is reduced.

The invention discloses an elevator control system with an electricity-saving quantity calculation function, which relates to the field of elevator control and comprises an energy-saving control module, a first electric energy sampling module, a second electric energy sampling module, a third electric energy sampling module, a fourth electric energy sampling module, a fifth electric energy sampling module, a battery module, a conversion module and an auxiliary power supply module, the mains supply and the battery module are used for supplying power to the auxiliary power supply module, the auxiliary power supply module supplies power to the energy-saving control module and the conversion module, the alternating-current side of the conversion module is connected with the second electric energy sampling module connected with the mains supply, and the direct-current side of the conversion module is connected with the battery module; the third electric energy sampling module is arranged between the joint of the conversion module and the battery module and the battery module, the fifth electric energy sampling module is arranged between the joint of the conversion module and the battery module and each elevator, and the fourth electric energy sampling module is arranged between each elevator and the mains supply; the first electric energy sampling module is arranged between the auxiliary power supply module and the commercial power. According to the invention, the saved total electric quantity can be calculated.

The invention discloses an elevator operation fault early warning method and system, relates to the technical field of intelligent elevator control, and aims to improve the operation safety and fault response capability of an elevator in a potential abnormal state. By constructing a load critical drift test working condition, a sudden non-vertical stress test working condition and a weak power supply fluctuation interference test working condition, abnormal behaviors which are difficult to appear but have potential safety hazards in the normal operation process of an elevator are induced; the method comprises the following steps: acquiring operation data under various working conditions, respectively calculating a drift overload response coefficient, a guide rail non-vertical interference coefficient and a power supply induced instability coefficient, respectively comparing the coefficients with preset thresholds, and judging whether operation faults such as brake response mismatching, asynchronous action of safety tongs and door lock control interference exist or not; and if the judgment result is abnormal, a targeted strategy is automatically generated and early warning is given out. According to the method, active recognition and classified response of elevator faults can be achieved, and the maintenance efficiency and the operation reliability are effectively improved.

The robot comprises a mechanical arm, at least two visual sensors and an elevator taking control unit, and the mechanical arm is configured to move to a preset range around a target elevator key under the control of the elevator taking control unit and execute pressing operation on the target elevator key; the at least two visual sensors are configured to acquire images of one or more of an elevator door area, an elevator floor display area, an elevator ascending and descending display area and an elevator key panel area, and provide the acquired images to the elevator taking control unit; the elevator taking control unit is configured to recognize one or more of the elevator door opening and closing state, the elevator floor, the elevator ascending and descending state, elevator key numbers, elevator key symbols and the state that elevator keys are pressed down or not pressed down on the basis of images provided for the elevator taking control unit by the at least two visual sensors. And the mechanical arm is controlled to press the target elevator key or the robot is controlled to enter and exit from the elevator car based on the recognition result.

The invention provides an elevator hall door lock fault detection method, device and system, and belongs to the technical field of elevator control. Comprising the following steps: S1, constructing an elevator hall door lock fault detection data set; s2, preprocessing the data and then extracting features; s3, constructing a fault detection model based on the features extracted in the step S2, and performing model training by using a cross entropy loss function to ensure that the model can accurately classify different fault states; s4, the model is trained based on dynamic learning rate adjustment and self-adaptive reweighting; and S5, deploying and using the model. Electrical signals and mechanical vibration signals of the elevator hall door lock are collected through the high-precision voltage and current sensor and the vibration sensor, fault detection and early warning operation are completed through the constructed fault detection model based on the deep neural network, adaptability to complex fault scenes is better, and detection accuracy and reliability are improved.

The invention discloses an elevator dispatching method and device based on passenger number perception and a medium, and relates to the technical field of elevator control. The method comprises the steps that a button on a floor elevator calling panel is triggered in response to a passenger, so that a face image of an operator is captured through preset image collecting equipment; the passengers are prompted to input the number of elevator passengers in the same row, and an elevator waiting queue is constructed; calculating the residual available load of each elevator, and comparing the residual available load with the predicted load increment to obtain a candidate elevator set with feasible load; selecting an optimal elevator from the candidate elevator set by using a preset multi-target scheduling algorithm, and running the optimal elevator to the floor where the passenger is located; and after the passengers successfully climb the elevator, the actual elevator climbing condition of the optimal elevator is obtained, and the state of the elevator waiting queue is updated. By sensing the number of the waiting passengers in real time and calculating the optimal elevator scheduling based on the multi-target scheduling algorithm, the elevator running efficiency is remarkably improved, and the waiting time of the passengers is shortened.

The invention relates to an elevator group control system scheduling method based on improved YOLOv10, and belongs to the technical field of intelligent elevator control and computer vision crossing. The elevator group control system scheduling method comprises the following steps that S1, pedestrian images of indoor elevator corridor scenes are collected, and a training set and a test set are constructed; s2, the YOLOv10 network is improved; s3, training the improved YOLOv10 network by using the training set to obtain a pedestrian detection model, and testing by using the test set; s4, the trained pedestrian detection model is used for actual pedestrian detection in the elevator floor; and S5, counting the number of pedestrians on each floor according to a detection result, and dynamically adjusting an elevator scheduling strategy according to the distribution of the number of pedestrians on high and low floors. According to the method, the detection capability of the network on the shielded pedestrians is enhanced, the pedestrian detection precision is improved, and the operation efficiency of the elevator and the riding experience of passengers are remarkably improved.

A new energy elevator belongs to the technical field of elevators, and includes an elevator control device and an elevator power supply system. The elevator power supply system includes a photovoltaic power supply device, a power switching circuit system, a mains power supply, a power supply output controller, a first storage battery, and a second storage battery; the power switching circuit system includes a first power switching switch, a second power switching switch, and a third power switching switch connected and controlled by the power supply output controller, and the connection end of the first power switching switch is connected to the photovoltaic power supply device, the first storage battery, and the second storage battery; the connection end of the second power switching switch is connected to the third power switching switch, the first storage battery, and the second storage battery; the connection end of the third power switching switch is connected to the elevator control device and the mains power supply. The elevator power supply system integrates photovoltaic power supply, dual battery energy storage, and intelligent switching technology, which not only improves the reliability and energy efficiency of the elevator power supply, but also reduces the dependence on the mains power supply, and can ensure the green and low-carbon operation of the elevator.

The embodiment of the invention provides a method and device for stably controlling an airplane in the auxiliary landing process, computer equipment and a medium, and the method comprises the following steps: judging whether the airplane is in a gliding stage, if so, activating a gliding stage control law, and if not, controlling the airplane to stably control the airplane through the gliding stage control law. The aircraft is controlled through the elevator centering instruction and the horizontal stabilizer automatic trimming instruction until the aircraft quits the gliding stage, and the gliding stage control law is quitted; if the aircraft enters the pull-up stage from the glide stage, activating the leveling stage control law, generating an elevator control instruction based on the steering column displacement and the steering column displacement nonlinear gain through the leveling stage control law, generating a rudder control instruction based on the pedal displacement signal and the pedal displacement nonlinear gain, and controlling the elevator control instruction and the rudder control instruction according to the pedal displacement signal and the pedal displacement nonlinear gain. And controlling the aircraft through the elevator control instruction and the rudder control instruction until the aircraft is grounded. According to the scheme, the landing quality and safety are improved through the staged aircraft auxiliary landing control law.

The invention discloses an elevator control reminding and fault self-diagnosis method and system, and the method comprises the steps: installing acceleration, temperature, pressure and displacement sensors at preset parts of an elevator car, a motor, a steel wire rope and a door system, and collecting operation data in real time. Performing data preprocessing, cleaning wrong data, normalizing and extracting key feature parameters; and then, a state evaluation model constructed based on historical data and expert experience is used for judging the running state of the elevator, and normal, early warning and fault grades are divided. According to an evaluation result, the system executes corresponding control reminding operation, a fault diagnosis program is started when a fault occurs, fault types and reasons are accurately positioned, and part of faults can be self-repaired. Meanwhile, diagnosis and processing conditions are fed back, and a fault database is updated. The elevator running safety and reliability are remarkably improved, the maintenance cost is reduced, and the safety of elevator passengers is guaranteed.

According to an aspect, there is provided an elevator system comprising an elevator car (100) configured to move in an elevator shaft (200) comprising at least a bottom landing and an elevator pit (216), and an elevator controller (102) configured to move the elevator car (100) into a predetermined service access level in the elevator shaft (200) in response to a received service access call. The elevator car (100) comprises an at least partially openable service access floor (202) to provide access to the elevator pit (216) through the openable service access floor (202). The service access floor (202) in its opened state is configured to provide a refuge space (218) at least partially inside the elevator car (100) for a person in the elevator pit (216) when the elevator car (100) is at the predetermined service access level (212).

To provide an elevator control device allowing a wheel chair user and a stroller user to easily use the elevator even if the elevator is crowded.SOLUTION: An elevator control device according to one embodiment is capable of autonomous driving, is communicably connected to a movable body having a movable body output device, and comprises a determination unit and a coordination information processing unit. The determination unit determines whether or not there is an available space for priority passengers to board in a car when the determination unit detects the opening of a car door at the floor where a landing call is generated in response to the landing call generated at a prescribed floor by the operation of the priority user who is a wheelchair user or a stroller user. The coordination information processing unit outputs alighting enhancement information from the movable body output device to the users in the car to enhance the alighting when the coordination information processing unit determines that there is no available space for boarding of the priority passengers in the car.SELECTED DRAWING: Figure 2

The invention discloses a PLC-based elevator shaft lighting system and a control method, relates to the technical field of elevator control, and aims to solve the problems of low safety and high wiring complexity of elevator shaft lighting control. The PLC-based elevator shaft lighting system comprises a power line carrier module consisting of an STA controller arranged in a machine room distribution box and a CCO controller arranged in a pit maintenance box; the STA controller and the CCO controller are powered by an emergency power supply, two core wires of the emergency power supply are used as data transmission media, and the STA controller is provided with a power relay for controlling on and off of the well lamp. According to the elevator hoistway lighting system based on the PLC and the control method, starting and stopping of hoistway lighting can be accurately controlled, instant lighting is provided for operators, the wiring and maintenance cost can be reduced, the electric shock risk is eliminated, and the safety of the operators is guaranteed.

The invention relates to the technical field of elevator control, and provides a sine and cosine encoder disconnection detection method, electronic equipment and a computer program product. The method comprises the following steps: acquiring an A-phase sampling signal and a B-phase sampling signal of the sine and cosine encoder; calculating a synthetic amplitude signal of the A-phase sampling signal and the B-phase sampling signal; and according to the amplitude change characteristics of the synthesized amplitude signal, determining the disconnection detection results of the A phase and the B phase of the sine and cosine encoder. By adopting the method, the disconnection condition of the A-phase signal and the B-phase signal of the sine-cosine encoder can be quickly and accurately detected, and the detection cost is reduced.

The invention discloses an elevator control method and system, and belongs to elevator system design. And voice interaction with a user and personalized elevator control are realized by utilizing an artificial intelligence technology. The system comprises a voice acquisition and processing module which converts a user instruction into a structured text through voice recognition and ensures personalized service in combination with voiceprint recognition; the language understanding module performs intention recognition and context analysis on the instruction to generate intention and entity information; the personalized control module dynamically adjusts elevator operation parameters according to historical behaviors of a user; the safety verification module ensures that elevator operation meets the safety standard; the feedback and optimization module continuously optimizes an elevator control strategy according to user feedback, and the response speed and accuracy are improved. According to the invention, through intelligent and personalized control and optimization mechanisms, the user experience and safety of the home elevator are improved.

To change an elevator control method and an energy-saving method in accordance with the situation of an autonomous movable body by obtaining individual attribute information corresponding to use or the like of the autonomous movable body.SOLUTION: This elevator control device for controlling an elevator permitting simultaneous boarding of a human and an autonomous movable body comprises: an attribute information input unit that inputs attribute information of the autonomous movable body which uses the elevator; a user determination unit that determines simultaneous boarding of the human and the autonomous movable body; and an operation control unit that, when the user determination unit determines use of only the autonomous movable body, performs operation control of the autonomous movable body currently in a car on the basis of the input attribute information of the autonomous movable body.SELECTED DRAWING: Figure 1

The invention relates to the technical field of elevator control, in particular to an intelligent elevator precise control method and system based on multiple modes, and the method comprises the steps that sensing monitoring data of all parts in an elevator system, monitoring video data of all floors and elevator button pressing monitoring data are obtained; the multi-branch feature extraction module based on the convolutional neural network is used for extracting multi-modal features from the standardized sensing monitoring data, the standardized monitoring video data and the standardized elevator button pressing monitoring data; multi-modal features with attention enhancement are obtained; taking the attention-enhanced multi-modal features as input of a gating circulation unit model, and predicting passenger flow states of all floors; according to the predicted floor passenger flow state and the probability thereof, an elevator control instruction corresponding to the prediction moment is generated; and the elevator control instruction is output to control operation of the elevator, the elevator dispatching strategy is optimized, dynamic adjustment can be achieved according to the real-time prediction result, and the operation efficiency is improved.

The utility model relates to an elevator control box panel lamp strip magnetic suction quick-changing structure which comprises a glass panel and a control box adsorption plate, the glass panel is assembled on the control box adsorption plate, and the two sides of the control box adsorption plate are each provided with a long-strip-shaped lamp strip installation groove in the length direction. The lamp strip installation grooves and the end face of the glass panel are spliced to form a containing space, a lamp strip assembly is installed in each lamp strip installation groove, each lamp strip assembly comprises a bottom groove, magnets and a lamp strip, the bottom grooves are of a U-shaped long-plate-shaped structure, the detachable lamp strips are installed in the bottom grooves, the magnets are arranged at the bottoms of the bottom grooves, the magnets attract the lamp strip installation grooves, and the lamp strip installation grooves are arranged in the containing space. A light guide area is arranged at the position, corresponding to each lamp strip, of the glass panel. According to the rapid magnetic type lamp strip assembly, the problem that a traditional operation box lamp strip is difficult to mount and dismount is solved, great convenience is brought to later replacement and maintenance of the lamp strip, the maintenance time is greatly shortened, and the customer experience of products is improved.

The present invention discloses an intelligent elevator dispatching system and method based on number recognition, wherein the system comprises a plurality of elevators, an elevator control subsystem, an elevator monitoring subsystem and a floor monitoring subsystem; the elevator monitoring subsystem deploys a camera in each elevator to identify the real-time number of people in the elevator, and transmits the data to a server through a gateway and a router; the elevator control subsystem monitors the elevator status in real time through the elevator BA, reports the elevator status data to the server, and receives the server control command through the elevator controller to control the elevator to reach the command floor; the floor monitoring subsystem deploys floor cameras in the waiting area of ​​each floor to identify the real-time number of people in the waiting area of ​​the current floor, and sends the data to the server through the floor gateway; the server performs elevator dispatching control of a plurality of elevators through an elevator dispatching control algorithm according to the elevator up and down states and elevator call requests, thereby effectively improving the elevator full load rate and reducing the elevator stop time.

The invention relates to the technical field of elevator control, and discloses a variable frequency driving system for elevator control, the system comprises a dynamic speed regulation control end, a voltage frequency cooperation end, a harmonic suppression management end and a multi-stage voice alarm module, the dynamic speed regulation control end is arranged, and when elevator operation control is carried out, the voltage frequency cooperation end is matched with the harmonic suppression management end; a speed regulation and control curve is automatically generated based on the load state and the operation requirement, and the acceleration change process is optimized in the start-stop stage, so that the system can eliminate current impact during traditional power frequency start, stable start of a motor is ensured, load impact of mechanical transmission parts is reduced, and abnormal abrasion of equipment is avoided; voltage and frequency output characteristics are dynamically matched by adopting a closed-loop regulation technology, so that the system can automatically regulate power output according to actual load requirements, the defects of light-load energy consumption waste and insufficient heavy-load power of a traditional scheme are overcome, and efficient and stable operation under different load working conditions is ensured.

The invention relates to an intelligent construction elevator control method and system, and relates to the technical field of elevators, and the intelligent construction elevator control method comprises the steps that a historical bearing distribution sequence is collected, elevator inclination accumulative influence analysis is carried out, and accumulative influence inclination parameters are obtained; monitoring images in the elevator are collected, real-time bearing recognition decision is made according to the accumulated influence inclination parameters, bearing recognition is conducted on the monitoring images, and bearing distribution is obtained; according to the bearing distribution, real-time inclination influencing parameters are obtained through prediction, and inclination influencing parameters are obtained through calculation; and according to the inclination influencing parameters, compensation level control analysis is conducted on the elevator, compensation control parameters are obtained, error correction is conducted through accumulative inclination influencing parameters, a compensation control parameter interval is obtained, and compensation level control is conducted on the elevator. The problem of inclination caused by uneven load bearing of the building hoist is solved, accurate adjustment of the horizontal state of the lifting cage is achieved, the stability and accuracy of equipment operation are improved, and the safety and efficiency of construction are guaranteed.

To provide an elevator control device that shortens getting on / off time of an autonomous mobile vehicle after a door opens.SOLUTION: An elevator control device according to an embodiment comprises a reception unit that receives a destination floor call and current positions of one or more autonomous mobile vehicles from the one or more autonomous mobile vehicles, an autonomous mobile vehicle-specific driving control unit that executes autonomous mobile vehicle-specific driving for letting the one or more autonomous mobile vehicles only get on a car and driving the same, a determination unit that when the reception unit receives the one or more destination floor calls during the execution of the autonomous mobile vehicle-specific driving, determines a getting off order of the one or more autonomous mobile vehicles on the basis of the one or more destination floors and the current positions of the one or more autonomous mobile vehicles while the car is moving up and down in a state where the car door is in a close state, and determines locations of the one or more autonomous mobile vehicles, in the car, getting on the car in the determined getting off order, and a transmission unit that transmits, to the one or more autonomous mobile vehicles, instructions of movement to the determined locations.SELECTED DRAWING: Figure 1

The method comprises the following steps that firstly, an elevator is activated, specifically, personnel face information is collected through an image collecting module arranged outside the elevator, the personnel face information is compared with database information, and the elevator is called to arrive; step 2, authority binding: a voice acquisition module acquires a voiceprint and a voice instruction of a person, compares the voiceprint with database information to obtain an elevator control right, and outputs an elevator control instruction; step 3, instruction confirmation and permission cancelling: after instruction issuing is completed, personnel are prompted to confirm through voice, single permission is ended if no voice is input within three seconds after confirmation, and instruction confusion caused by personnel communication is avoided; conflict resolution is carried out on multiple personnel instructions, elevator control instructions are output, and if the instructions need to be changed, permission binding is obtained through personnel output activation instructions. The invention relates to the technical field of elevator equipment, and particularly provides an elevator sound control method and system.

The invention provides an elevator comprehensive energy storage device capacity optimization configuration method based on element reinforcement learning, and belongs to the field of elevator energy-saving control. The method comprises the following steps that elevator operation data, environment data and energy storage device states are collected in real time, an elevator control element reinforcement learning model is built, and in the element reinforcement learning model training stage, the elevator control element reinforcement learning model is built; a strategy is pre-trained in a historical task through an algorithm, a new scene is rapidly adapted, the strategy is updated based on real-time data, future load is predicted in combination with LSTM, the energy storage capacity is dynamically adjusted, the charging and discharging threshold value and the capacity distribution proportion of the energy storage device are adjusted according to an optimization result, and a control instruction is output to an energy management system. Cross-scene strategy migration is achieved through an MAML algorithm, the defect that a traditional method needs to be redesigned in a new scene is overcome, element strategy learning and online fine adjustment are separated, global generalization and local optimization are considered, energy consumption, cost and equipment service life are balanced, a variable capacity distribution proportion is introduced instead of a fixed capacity value, and the utilization rate of an energy storage device is increased.

The embodiment of the invention discloses an elevator allocation method, device and equipment for a robot and a storage medium, and belongs to the technical field of elevator allocation. The method comprises the steps that in response to an elevator taking request for the robot, at least one elevator meeting the space occupation requirement of the robot is determined as a candidate elevator; in the process that at least one candidate elevator moves towards the initial floor, the load area contour in each candidate elevator is detected in real time; screening the at least one candidate elevator based on the load area contour and the space occupation requirement in the candidate elevator to obtain a target elevator; and controlling the robot to move to the waiting point of the target elevator. By automatically distributing the target elevator to the robot, the cross-floor moving efficiency of the robot is improved, the accuracy of the target elevator is improved, the elevator taking success rate of the robot is further improved, and the overall elevator taking efficiency of the robot is improved.

Disclosed are an elevator apparatus and an elevator control method, which are capable of reducing an operation sound of an electrically actuated emergency stop device. This elevator apparatus is provided with an electric operation device (10) for operating a drive mechanism of an emergency stop device (2). The electric operation device is provided with: a movable element that is mechanically connected to the drive mechanism; electromagnets (35a, 35b) that adsorb the movable element at a standby position, restrict the movement of the drive mechanism, and operate the drive mechanism when the speed of a car reaches a predetermined overspeed; a return mechanism that returns the movable element from a movement position (P) at the time of operation of the emergency stop device to the standby position; and a controller (7) that controls the return mechanism. The controller controls the return mechanism to move the electromagnets that are excited to adsorb the movable element from the standby position toward the movement position.

The invention relates to the technical field of elevator control, in particular to an elevator hoistway self-learning method and system based on reinforcement learning, and the method comprises the steps: obtaining multi-mode sensing data of a hoistway environment in a low-speed operation mode after it is confirmed that elevator preparation work is completed; generating a hoistway characteristic matrix based on a laser SLAM technology and multi-modal sensing data, and introducing a digital twinning technology on the basis of the hoistway characteristic matrix to construct a three-dimensional hoistway reference model; loading an elevator industry knowledge graph pre-training model, and executing feature migration and distillation compression based on the constructed three-dimensional shaft reference model to generate a control strategy model; deploying the distilled and compressed control strategy model to an edge computing device; on-line reinforcement learning is carried out based on edge computing equipment, and a control strategy model is optimized in real time by designing a multi-dimensional reward function. The control strategy can be automatically adjusted, the operation parameters are dynamically optimized, and the operation precision, the safety and the intelligent maintenance level are remarkably improved.

An elevator system has an elevator controller system to control movement of an elevator car between a predetermined number of floors of a building, and an elevator operating panel communicatively coupled via a multicore cable to the elevator controller system. The elevator operating panel includes at least one push-button having an open state and a closed state, wherein the push-button is configured to close in the closed state a wire loop of the multicore cable, and wherein the push-button is configured to be in the closed state when a user presses the push-button to enter an elevator call. In addition, the elevator system includes an ancillary operating panel arranged next to the elevator operating panel and having a proximity sensor for touchless entry of an elevator call.