2505 results about "Elevator system" patented technology

The present invention provides an elevator emergency rescue decision-making method and system based on reinforcement learning, which relates to the technical field of elevator emergency rescue, including real-time collection of elevator multimodal data through a distributed sensor network to generate an elevator state representation vector; inputting the obtained elevator state representation vector into a pre-trained graph convolutional neural network model, and simultaneously starting an edge computing unit for real-time simulation, simulating system responses under different rescue strategies, evaluating the feasibility of each rescue strategy, weightedly fusing the multi-dimensional risk score and the rescue strategy feasibility evaluation results, and generating a risk assessment report; sending a rescue instruction set to an elevator emergency rescue executive agency through a secure encrypted channel, and continuously monitoring the real-time feedback information of the elevator emergency rescue executive agency, and triggering a decision re-evaluation mechanism when an abnormal situation occurs, until a passenger safe evacuation signal is received and the elevator system restores a safe state signal, and the rescue mission is completed.

The invention provides a building energy-saving control system based on centralized control of the Internet of Things, and relates to the technical field of data processing, and the system comprises a data collection module which is used for collecting personnel activity data, environment parameter data and equipment state data in a building in real time; the data preprocessing module is used for carrying out cleaning, denoising and time sequence alignment processing; the area use mode recognition module is used for analyzing the use conditions of equipment in different areas in the building according to a multi-layer classification rule; the energy-saving control strategy generation module is used for analyzing equipment in the building and generating a region-level energy-saving control instruction set; the execution control module is used for controlling an air conditioning system, a lighting system and an elevator system in the building in real time; the feedback regulation module is used for monitoring real-time feedback data of the equipment operation parameter set and feeding back to the energy-saving control strategy generation module in combination with environmental parameter data change; according to the invention, autonomy and accuracy of building energy-saving control are improved.

The invention relates to the technical field of dynamic models, in particular to an elevator dynamic model correction system and correction method. The method comprises the following steps that elevator system basic data and elevator historical operation data are obtained; performing multi-scale dynamic characteristic analysis according to the elevator system basic data to generate multi-scale dynamic characteristic data; performing multi-scale stability analysis on the multi-scale dynamic characteristic data according to the historical operation data of the elevator so as to obtain multi-scale stability data; subsystem coupling sensitivity analysis is conducted on the multi-scale stability data according to structure parameters in the elevator system basic data, and therefore multi-scale coupling sensitivity data is generated; and performing global nonlinear characteristic mapping processing according to the multi-scale coupling sensitivity data to obtain a global nonlinear dynamic model. By constructing the extended state observer based on the high-frequency vibration mode, the state which is difficult to directly measure can be estimated, and the comprehensiveness and accuracy of system monitoring are improved.

The invention relates to the field of air conditioning unit control, in particular to an industrial park elevator system optimization control system and a method thereof.The hardware part comprises a sensor unit, an executing mechanism, a field control unit, communication equipment and a server unit; the software part comprises a real-time operating system, a sensor data acquisition and fusion preprocessing module, a digital twinborn simulation platform, a model prediction control module and a cloud deep reinforcement learning module; the method comprises the steps of S1, data acquisition and primary processing, S2, data transmission and caching, S3, digital twin modeling and system simulation, S4, optimization control strategy generation and issuing, S5, online scheduling and deep reinforcement learning optimization, S6, safety monitoring and exception handling, and S7, closed-loop feedback and continuous optimization. Efficient integration of elevator modules is achieved through digital twinning and model prediction control cooperation; intelligent data processing is realized through deep reinforcement learning and adaptive data fusion; and safe and energy-saving operation is realized through fault tolerance and safety monitoring.

To provide an elevator cooperative control device and others that can suppress a decrease in operation efficiency of autonomous movable bodies even if registered calling is cancelled, and thereby can assist efficient operation of the autonomous movable bodies.SOLUTION: A cooperative control device 200 comprises a call registration request unit 241 transmits, to an elevator control device 100, a boarding floor entrance call registration request and a getting-off floor car call registration request in response to a vehicle allocation request from an autonomous movable body 20. The elevator control device 100: registers the entrance call to the boarding floor in response to the entrance call registration request; registers a car call to the getting-off floor with respect to a response car being a car responding to the entrance call in response to the car call registration request; and when preset cancellation conditions are met, cancels the car call; and when the car call registered in the response car is cancelled, transmits a car call cancellation notice. When receiving the car call cancellation notice, the call registration request unit 241 transmits, to the elevator control device 100, a re-registration request for a car call to the getting-off floor.SELECTED DRAWING: Figure 4

An elevator system may include an elevator car that is configured to transport a passenger between floors of a building as well as a sensor system in the elevator car that is configured to detect a passenger's location, orientation, and / or height. The elevator system may further include a touchscreen that can display a virtual car operating panel at a location on the touchscreen that is based on the location, orientation, and / or height of the passenger. The virtual car operating panel may be configured to receive input from the passenger regarding a destination floor. The touchscreen may be configured to display a virtual car operating panel for each passenger based on each passenger's location, orientation, and / or height on the elevator car.

The invention relates to an elevator position estimation method and device based on an electric signal, equipment and a storage medium. The method comprises the steps that electric signal collection is conducted on an elevator traction machine, and voltage and current in a target time period are obtained; the voltage frequency and the current frequency of the elevator traction machine are calculated based on the voltage, the current, the target time period and the electric signal zero-crossing number; the angular velocity of the elevator traction machine is calculated according to the voltage frequency and the number of pole pairs of the motor, and the angular velocity of the elevator traction machine is calculated according to the current frequency and the number of pole pairs of the motor; the angular velocity obtained based on the voltage frequency or the current frequency is input into an elevator system mathematical model for displacement calculation, and displacement information of the elevator car is obtained; and the position information of the elevator car is determined based on the displacement information and accumulated displacement information of the elevator car in the ascending or descending stage. By adopting the method, the estimation accuracy of the elevator position can be effectively ensured.

The invention discloses a safety engineering optimization method and system based on artificial intelligence, and belongs to the technical field of safety engineering optimization, and the method comprises the steps of data preparation, data preprocessing, elevator running state evaluation, elevator fault prediction and elevator safety engineering optimization. According to the method, the elevator running state is evaluated by adopting the long-short-term memory model for enhancing parameter optimization, so that the sparrow population diversity is increased, the global search capability of the algorithm is improved, the parameter optimization is better performed, and the model prediction effect is improved; an auto-encoder long-short-term memory parallel model is adopted for elevator fault prediction, through parallel processing of an auto-encoder and a long-short-term memory network, rich feature representation is better captured, the model prediction precision is improved, integrated learning is carried out through a gradient lifting technology, and the model robustness is enhanced; the elevator running state evaluation information and the elevator fault prediction information are integrated, elevator safety engineering optimization is achieved, the influence of subjective factors is reduced, and the overall stability and reliability of an elevator system are effectively improved.

The invention relates to the technical field of intelligent elevator control, in particular to an intelligent elevator control method and system based on the Internet of Things, and the method comprises the following steps: S1, monitoring human body three-dimensional coordinate data of an elevator waiting area of each floor in real time, and collecting multi-modal sensing data in an elevator car; s2, generating a dynamic people flow distribution thermodynamic diagram of each floor, and constructing a time-space weight matrix; s3, generating an elevator dynamic scheduling strategy; s4, the abnormal state type of the lift car is judged by combining the gas component spectrum and the vibration spectrum; s5, a grading alarm instruction is sent to the central controller through the LoRaWAN protocol; and S6, automatically correcting the opening and closing speed curve of the portal crane. According to the method, efficient operation and safety guarantee of the elevator system in a complex people flow environment are achieved by fusing multi-source sensing, dynamic scheduling and an abnormal response mechanism.

The invention discloses an elevator digital twinning virtual and physical sensor data calibration method. The method comprises the steps that real-time data of multiple types of physical sensors in an elevator system and real-time data of virtual sensors in an elevator digital twinning model in a reference environment at the same moment are obtained; preprocessing the data, and comparing the acquired data of the physical sensor and the virtual sensor of the same category according to a distance function to obtain an error between the physical sensor and the virtual sensor at the moment t; comparing whether the error exceeds a set error threshold value or not; and if the error exceeds the threshold value, correcting the physical sensor data through linear regression calibration and an offset correction function, and updating the virtual sensor data at the next moment in the digital twin. The actual measurement data of the physical sensor and the measurement data of the virtual sensor of the digital twin are combined, the sensor deviation is calculated and calibrated in real time, and the problem of single sensor error can be effectively solved.

The invention relates to the technical field of elevator energy consumption analysis, and discloses an elevator energy consumption analysis method and system.The elevator energy consumption analysis method comprises the steps that elevator operation data are obtained, anchor point events are detected based on the elevator operation data, time alignment processing is conducted on the elevator operation data, and a synchronous data sequence with a unified time axis is generated; based on the synchronous data sequence, elevator running states are recognized, regeneration running stages are marked, and time segments corresponding to the elevator running states are output; carrying out integral calculation on the active power of the line in a time segment, realizing bottom consumption stripping in combination with a standby power reference, and outputting segment energy consumption through positive and negative power decomposition; and in the regeneration operation stage, feedback energy and braking energy are calculated according to the elevator operation data, feedback efficiency is calculated, and an energy consumption analysis result is output. According to the method, a reliable basis is provided for energy efficiency evaluation, abnormal early warning and operation optimization of the elevator system.

A method for determining a torque scaling factor for an elevator motion control system (10) connected to and configured to operate an elevator motor (302). The method comprises performing (110) a test run of an elevator car (310) in an elevator shaft (340) of an elevator system (300) by utilizing the elevator motion control system (10) and the elevator motor (302), wherein the test run comprises a constant speed portion (21) into a first direction and a constant speed portion (22) into an opposite second direction, determining (120), average values of torque references used in the elevator motion control system (10) during the constant speed portions (21, 22), determining (130), average motor mechanical power values of the elevator motor (302) during the constant speed portions (21, 22), and determining (140), the torque scaling factor based on the determined average torque references, the determined average motor mechanical power values, and a speed (VTEST) during the constant speed portions (21, 22).

A safety monitoring device of an elevator system having a shaft extending over at least two floors has a safety circuit with door contact switches being closed or opened accordingly when a respective shaft door is closed or opened. The door switches form an electrical series circuit that is electrically broken to block the elevator car from moving when any of the door switches is opened. The monitoring apparatus has at least one bypass switch that actuates a first door switch for a first shaft door on a first floor such that, when the elevator car reaches the first floor, the bypass switch bypasses the first door switch to switch the safety circuit independently of the first door switch. A monitoring means of the monitoring apparatus monitors the switching state of the safety circuit and / or of a second door switch for a second shaft door on a second floor.

An elevator system includes a hoistway; an elevator car configured to travel in the hoistway; a pit located at a bottom of the hoistway; a safety chain configured to enable or disable motion of the elevator car; and a sensor assembly configured to initiate opening the safety chain to disable motion of the elevator car upon detection of a person in the pit.

The present approaches are in the in the field of vacuum (or pneumatic) elevators, where the elevator cabin is brought into motion in a vertically situated or vertically inclined and hermetically sealed elevator shaft by means of aerial pressure differential above and below the elevator cabin. Such approaches do not require having any ropes, pulleys, chains, gears, or hydraulics that are traditionally used in conventional elevator systems. More specifically, the present approaches are in the field of panoramic vacuum elevators, where the elevator hoistway is built of panoramic glass panels running from floor to ceiling of every floor and the elevator cabin is built of panoramic glass panels running from floor to the ceiling of the cabin, and that this type of elevator does not incorporate any metal constructive structures—frames, mesh, guides or rails that are traditionally used in every conventional elevator product.

The present invention pertains to an advanced traction control system designed to enhance the performance of traction elevators. This system integrates multiple components and a novel S-curve algorithm to optimize acceleration and deceleration profiles, ensuring smooth transitions and improved ride quality. Key components include a central controller, motor room board, hall panel controllers, and a car panel controller. The system supports high-speed applications, accommodating speeds up to 1400 feet per minute. The S-curve routine is divided into acceleration, constant speed, and deceleration phases, with digital speed commands transmitted via a serial communication link to the motor drive every 10 milliseconds. This precise control reduces mechanical wear and enhances passenger comfort. The system can adapt to various speed profiles, including normal, short, inspection, and emergency power modes, ensuring optimal performance under different conditions. This invention significantly improves the efficiency, safety, and durability of traction elevator systems.

The invention relates to an elevator position estimation method and device, equipment, a storage medium and a program product. The method comprises the steps that electric signal collection is conducted on the elevator traction machine, and voltage and current in a target time period are obtained; the voltage frequency of the elevator traction machine is calculated based on the voltage, the target time period and the electric signal zero-crossing number; the current frequency of the elevator traction machine is determined; the angular speed of the elevator traction machine is calculated, the angular speed obtained based on the voltage frequency or the current frequency is input into an elevator system mathematical model for displacement calculation, and displacement information of an elevator car is obtained; and the position information of the elevator car is determined based on the displacement information and accumulated displacement information of the elevator car in the ascending or descending stage. By adopting the method, the estimation accuracy of the elevator position can be effectively improved.

An elevator data communication system is configured to communicate between a plurality of elevator systems and a datacenter remotely located from the plurality of elevator systems. The elevator data communication system includes a software-based cloud communication platform and a server. The software-based cloud communication platform is configured to receive and send communications to the plurality of elevator systems. The server is remotely located from the plurality of elevator systems and is configured to send and receive the communications between the datacenter and the software-based cloud communication platform. The server includes a plurality of software-based simulated modems each assigned to a respective one of the plurality of elevator systems.

The invention discloses a safe torque cut-off and electronic star sealing device and an elevator system, relates to the technical field of elevators, and is used for realizing STO and electronic star sealing functions. Aiming at the problem that a common contactor-free scheme at present cannot ensure the function safety, the invention provides the safe torque cut-off and electronic star sealing device, and the STO and electronic star sealing functions of an elevator are ensured through a safe torque cut-off module and an electronic star sealing module. Meanwhile, failure detection is carried out on the two newly-added modules through the control module, and a mutual detection mechanism between the control module and the safe torque cut-off module is established. When any one of the three newly added modules fails, the failure can be detected and the STO or electronic star sealing function is triggered. On the basis, all modules used for replacing a traditional contactor to achieve STO and electronic star sealing functions in the device establish failure detection mechanisms, so that the device can meet the requirement of the elevator for the function safety level.

An elevator safety system includes a safety controller in connection with an elevator safety chain for monitoring safety of an elevator system. The elevator safety system is arranged, in a first configuration of the elevator safety system, to monitor a set of safety devices, and arranged to be reconfigured from the first configuration to a second configuration of the elevator safety system in response to a detection of a malfunction or failure in a portion of the first configuration, wherein, in the second configuration, the malfunctioned or failed portion is at least functionally excluded. An elevator system and a method for continuing operation of an elevator system after a malfunction or failure are also disclosed.

The invention relates to the technical field of elevator traction machines, and discloses a controller and a traction machine driving assembly. The cooling assembly is arranged in the outer cover, and an inner cavity of the outer cover is divided into a first cavity body and a second cavity body by the cooling assembly; the control assembly is arranged in the first cavity, and the control assembly exchanges heat with the cooling assembly; and the braking resistor is arranged in the second cavity, and the braking resistor exchanges heat with the cooling assembly. Due to introduction of the cooling assembly and reasonable cavity division design, the cooling assembly can take away heat generated by the brake resistor in time, heat accumulation in the brake resistor is avoided, and the problem that heat dissipation is insufficient does not need to be compensated by depending on large parameters. Therefore, the brake resistor with smaller parameters and lower cost can be selected without influencing the overall performance, and the performance specification requirement of the brake resistor is reduced, so that the size of the brake resistor is reduced, and the overall size of the elevator system control cabinet is reduced.

The invention discloses a method of an elevator energy consumption optimization control system, which relates to the technical field of elevator energy consumption optimization, and comprises the following steps: in the elevator running process, acquiring elevator running information of a floor planned to stop in the running process in real time, and preprocessing the acquired elevator running data to obtain a pre-processed elevator running data; and a basis is provided for analyzing the use mode and the operation efficiency of the elevator. According to the invention, through intelligent division of near-distance stopping, middle-distance stopping and long-distance stopping, the elevator system realizes fine speed and acceleration adjustment aiming at different running distances, energy consumption and transportation efficiency are effectively balanced, and the power peak demand and electric power waste are reduced. The instantaneous current impact is reduced by short-distance stopping, and the mechanical wear is relieved; and the acceleration is optimized by long-distance parking, so that excessive consumption under high load is prevented, and the temperature rise of the equipment is avoided. On the whole, intelligent control reduces equipment aging and heat dissipation requirements, the service life of the elevator is remarkably prolonged, and the long-term maintenance cost is reduced.

A braking apparatus for braking a movable elevator car of an elevator system and for measuring load changes produced in the elevator car has at least one, preferably two, brakes for braking the elevator car relative to a stationary component of the elevator system. The braking apparatus includes a brake holding arrangement for holding the brake(s) on the elevator car, a load measuring device having a force transmission element for measuring a force acting on the force transmission element, and a load measuring device holding arrangement for holding the load measuring device on the elevator car.

A connector comprises a body defining an internal cavity configured to receive a suspension member of an elevator system, and at least one suspension member alignment feature formed on an inner wall surface that surrounds the internal cavity. The connector further includes plurality of contact members that establish electrically conductive connections with tension members in the suspension member, wherein the at least one suspension member alignment feature aligns the contact members with the tension members.

A monitoring system of an elevator system in which an elevator car and a counterweight, which are attached to a tension member, travel through a hoistway in opposite directions is provided. The monitoring system includes a controller to cause the elevator car to travel to a predefined position in the hoistway, a sensor to sense a position of the counterweight with the elevator car stopped at the predefined position and to generate data corresponding to sensing results and a processor operably coupled to the sensor and configured to analyze the data and to calculate, based on analysis results, an elongation of the tension member.

To provide a diagnosis system that is able to determine riding comfort and anomalies in an elevator by using data measured by various sensors built in a smart device held by a worker.SOLUTION: An elevator system 100 includes: a disturbance determination unit 24 that estimates, in accordance with a position to which a car 2 of an elevator 1 moves, a direction of a smart device 20 by comparing a magnetism measured by a magnetic sensor 31 with a magnetic map in which information on the magnetism that changes in accordance with the position of the car 2 is recorded and that determines whether a disturbance of diagnosis information by the direction of the smart device 20 is within an allowable range or not; and a diagnosis unit 25 that determines riding comfort and anomalies in the elevator 1, based on the diagnosis information in which the disturbance is determined to be within the allowable range.SELECTED DRAWING: Figure 2

A remote monitoring system for an elevator system includes at least one remotely operable intermediate device and a monitoring unit for remotely controlling operation of the at least one intermediate device at least partly. The monitoring unit controls at least one intermediate device to generate a remote command for controlling at least one operation of the elevator system, and monitors a response of the elevator system to the remote command. A method for remotely monitoring an elevator system is also included.

An elevator system is configured to be capable of accepting an internal call made by a user operating an elevator operating panel and an external call made from an external apparatus using a communication network. The elevator system is provided with a processor that assigns a car to be an arranged-car candidate to an internal call or an external call from among one or more cars. The processor is configured to, when an external call is accepted, execute an operation condition judgment process for judging whether each of the one or more cars is in an operating state or in a non-operating state and an external call assignment process for preferentially assigning a car in the non-operating state as the arranged-car candidate over a car in the operating state.

The invention relates to a mounting bracket (2) for mounting on a shaft door opening (6) of an elevator system (1), comprising a transverse carrier (7) extending in a first direction and two lateral carriers (8, 9) projecting therefrom. The transverse support (7) has a floor fastening section (15) which can be fastened to the horizontal plane of the floor (11). Each lateral carrier (8, 9) has a rail fastening section (14) which extends parallel to the first direction and which has at least one mounting opening (18) for fastening a guide rail (3) for guiding the elevator car (5).

The invention discloses an elevator dispatching method and system, electronic equipment and a storage medium, and the method comprises the steps that an elevator dispatching environment is constructed according to the elevator state and calling information, and the elevator dispatching environment comprises a state space, an action space and a reward function; reinforcement learning processing is conducted on the elevator dispatching environment according to a double-Q learning model, and an initial dispatching strategy is obtained; performing global optimization processing on the initial scheduling strategy according to a simulated annealing algorithm to obtain a target scheduling strategy; and operation control is conducted on the elevator system according to the target scheduling strategy, and the double-Q learning model is updated according to an operation result. The embodiment of the invention can improve the elevator dispatching efficiency, and can be widely applied to the technical field of elevators.