CN118062681A

CN118062681A - Elevator remote terminal on-line control system and method based on Internet of things

Info

Publication number: CN118062681A
Application number: CN202410503289.2A
Authority: CN
Inventors: 吴敏; 赵萍萍; 张小敏
Original assignee: Volkslift Schindler Elevator Co Ltd
Current assignee: Volkslift Schindler Elevator Co Ltd
Priority date: 2024-04-25
Filing date: 2024-04-25
Publication date: 2024-05-24

Abstract

The invention relates to the technical field of control and regulation, and discloses an online control system and method of an elevator remote terminal based on the Internet of things, wherein the system comprises a user elevator riding demand reservation control module, a user riding elevator action execution control module and a user riding elevator execution monitoring module; the mobile terminal is adopted to accurately acquire the identity information of the reservation user and the riding elevator object information on line, so as to provide data support for the online control of an elevator remote terminal based on the Internet of things and realize the online reservation of the riding elevator requirement; and displaying and feeding back the virtual space form physical model parameters of the elevator riding terminal reserved by the user to the user through a mobile terminal display screen, assisting the user to acquire the specific demand instruction parameters of the elevator riding by the user on line, and realizing the remote reserved elevator riding demand function.

Description

Elevator remote terminal on-line control system and method based on Internet of things

Technical Field

The invention relates to the technical field of control and regulation, in particular to an elevator remote terminal on-line control system and method based on the Internet of things.

Background

An elevator control system means that the control system of the elevator has undergone a process ranging from simple to complex. The dragging system for the elevator mainly comprises: the system comprises a single-speed and double-speed alternating current motor dragging system, an alternating current motor stator voltage and speed regulation dragging system, a direct current generator-motor silicon controlled rectifier excitation dragging system, a silicon controlled rectifier direct power supply system and a VVF variable frequency variable voltage variable speed system. The elevator control system hardware is composed of a car control panel, a hall signal, a PLC, a frequency converter and a speed regulating system, wherein the frequency converter only completes the speed regulating function, and the logic control part is completed by the PLC. The PLC is responsible for processing the logic relation of various signals, so that a start-stop signal is sent to the frequency converter, and meanwhile, the frequency converter also transmits the working state of the frequency converter to the PLC to form a bidirectional connection relation. The system is also provided with a rotary encoder and a PG card which are coaxially connected with the motor, so that speed detection and feedback are completed, and a speed closed loop and a position closed loop are formed. In addition, the system is also required to be provided with a brake resistor, when the elevator runs at a reduced speed, the motor is in a regeneration state, electric energy is fed back to the frequency converter, and the direct-current voltage rise is restrained. The elevator system is a six-layer six-station system, a lift car, a safety window, a counterweight, a safety tongs, an inductor, a flat layer, a floor magnetic isolation plate, an end station beating plate and various action switches are arranged in a lift well, an overload and full load switch is arranged at the bottom of the lift car, floor display, a call button and indication are arranged at each layer outside the lift well, a base station electric lock is arranged at one layer, a machine room is arranged at the top of the lift well, a machine room maintenance button, a slow-up and slow-down switch, a traction machine, a guide wheel and a speed limiter are arranged in the lift well, and a pit, a buffer and a speed limiter rope wheel are arranged at the bottom of the lift well; the elevator car is internally provided with a hall door, a car door, a door mechanism, a door knife mechanism, a door lock mechanism, a door machine power supply circuit, a safety touch plate, car top emergency stop, maintenance, slow-up and slow-down switch, car top illumination and car top wiring box, floor display is arranged above the car door and the hall door, and an inner selection button and indication, a door opening and closing button, an alarm bell button, overload and full load indication are arranged on the right side of the car door. The current elevator control system is in the operation stage, and the user can only control the elevator to reach the destination through reaching the elevator and taking the terminal and manually triggering the elevator control button, increases user and takes elevator waiting time, and current elevator control system can not realize the remote control of online elevator and take the reservation, can not realize individualized elevator and take the service, has reduced elevator user experience.

The Chinese patent publication No. CN104698865B discloses a simulation system and a simulation method for the influence of voltage sag on an elevator, wherein the simulation system comprises a control terminal, a power supply device, an uninterruptible power supply device, an elevator control device, an elevator simulation device and a waveform monitoring device, the control terminal is connected with the power supply device and the uninterruptible power supply device, the elevator control device is connected with the power supply device, the uninterruptible power supply device and the elevator simulation device, and the waveform monitoring device is connected with the power supply device and the elevator control device. Through demonstrating the influence of the voltage sag on the elevator and countermeasures, the cognition degree of the user on the voltage sag can be improved, the mechanism and coping strategies of the user for cognizing the influence of the voltage sag on the elevator are guided, the use safety of the elevator is improved, and the technical scheme can not realize remote control of online elevator riding reservation and personalized elevator riding service.

Disclosure of Invention

(One) solving the technical problems

In order to solve the problem that the current elevator control system is in an operation stage, a user can only control an elevator to reach a destination by manually triggering an elevator control button at an elevator riding end, the waiting time of the elevator riding of the user is increased, the existing elevator control system cannot realize remote control of online elevator riding reservation, personalized elevator riding service cannot be realized, the problem of elevator user experience is reduced, the online reservation of elevator riding requirements is realized, the path of the user to the elevator riding end is accurately planned, the user riding reservation elevator behavior is intelligently monitored, and the user riding elevator experience is improved.

(II) technical scheme

The invention is realized by the following technical scheme: an elevator remote terminal on-line control method, comprising the following steps:

s1, acquiring identity characteristic data of a reserved user and characteristic data of an object of the reserved riding elevator of the user;

S2, searching the user reservation elevator taking object feature data and the elevator taking end virtual space form physical model data according to the user reservation elevator taking object feature keywords to obtain corresponding elevator taking end virtual space form physical model data by adopting a data searching algorithm, and identifying and generating user reservation elevator taking end virtual space form physical model data; displaying the virtual space form physical model data of the elevator riding end reserved by the user through the mobile end, and assisting the user to acquire specific demand instruction data of the elevator riding by the user;

S3, controlling the elevator to run to an elevator riding end reserved by the user according to the specific demand instruction data of the elevator ridden by the user; the specific demand instruction data of the user riding elevator and the space coordinate data of the elevator riding end are searched out corresponding space coordinate data of the elevator riding end according to the specific demand instruction keywords of the user riding elevator by adopting a data searching algorithm, and the space coordinate data of the elevator riding end reserved by the user is identified and generated;

S4, acquiring real-time space coordinate data of a user; the data identification algorithm is adopted to plan the shortest path from the user to the reservation elevator riding terminal according to the space coordinate data of the reservation elevator riding terminal of the user, the real-time space coordinate data of the user and the space geographic model data of the region where the elevator is located, and the optimal path data from the user to the reservation elevator riding terminal is generated and output;

S5, when the elevator reaches an elevator riding terminal reserved by a user according to the specific demand instruction data of the elevator for riding by the user, measuring and generating waiting user time data of the elevator riding terminal reserved by the user, and comparing the waiting user time data with a waiting user time threshold value of the elevator riding terminal reserved by the user, so as to construct judgment data for ending the action of the elevator riding terminal reserved by the user;

S6, when the action ending judgment data of the elevator riding terminal waiting for the reservation user is that the waiting action is ended, acquiring facial feature image data of the elevator riding terminal passenger and the identity feature data of the reservation user, comparing the facial feature image of the elevator riding terminal passenger with the identity feature of the reservation user, and analyzing and constructing user riding reservation elevator execution result data;

And S7, when the execution result data of the user riding reservation elevator is not executed, executing the bad record processing job of the user riding reservation elevator for the reservation user according to the reservation user identity characteristic data.

Preferably, the operation steps of collecting the characteristic data of the reserved user identity and the characteristic data of the reserved riding elevator object of the user are as follows:

S11, acquiring user identity data of a remote reservation riding elevator through a mobile terminal and generating reservation user identity characteristic data The reservation user identity characteristic data comprise name data, identity card number data, address data, fingerprint data and facial characteristic image data, and the mobile terminal comprises any one of a mobile phone, a smart watch and a tablet personal computer;

collecting the position characteristic data of the object of the user reservation riding elevator through the mobile terminal and generating the characteristic data of the object of the user reservation riding elevator The user reservation riding elevator object characteristic data comprises the name of a residential area or a commercial area where an elevator is located and a corresponding building number.

The invention adopts the mobile terminal to accurately acquire the identity information of the reservation user and the object information of the riding elevator on line, thereby achieving the effect of providing accurate data support for the on-line control of the elevator remote terminal.

Preferably, the data searching algorithm searches the characteristic data of the elevator object reserved by the user and the physical model data of the virtual space form of the elevator riding end according to the characteristic key words of the elevator object reserved by the user to obtain the corresponding physical model data of the virtual space form of the elevator riding end, and identifies and generates the physical model data of the virtual space form of the elevator riding end reserved by the user; the virtual space form physical model data of the elevator riding end reserved by the user is displayed through the mobile end, and the operation steps of assisting the user to acquire the specific demand instruction data of the elevator riding by the user are as follows:

S21, establishing a virtual space form physical model data set of an elevator riding end ，; Wherein/>Represents the/>Virtual space morphological physical model data of elevator riding end corresponding to characteristic data of individual elevator objects,/>The maximum value of the number of the elevator objects is represented, and the elevator riding end virtual space form physical model data represents that the elevator riding ends of the whole elevator objects corresponding to the buildings in different residential areas or commercial areas are constructed into a virtual space form physical model;

S22, adopting a depth-first search algorithm to reserve the object characteristic data of the elevator for riding by the user Virtual space morphological physical model data set/>, of elevator riding endVirtual space morphological physical model data/>, of elevator riding endSearching out characteristic data/>, of the object of the user reservation riding elevator according to the characteristic key words of the object of the user reservation riding elevatorCorresponding virtual space morphological physical model data/>, of the elevator riding endAnd mark and generate virtual space form physical model data/>, of user reservation elevator riding end；

S23, reserving virtual space form physical model data of the elevator riding end by the userDisplaying through a display screen of the mobile terminal;

s24, a user controls the user to reserve virtual space form physical model data of the elevator riding end through operating a display screen of the mobile end Moving to check elevator riding ends of different floors until the position of the reserved elevator riding end required by a user is searched, and clicking virtual space morphological physical model data/>, of the reserved elevator riding end of the userAcquiring a user reservation riding elevator direction and a floor number of a reservation riding elevator riding terminal, and generating specific demand instruction data/>, of the user riding elevator; The direction of the user reservation riding the elevator comprises any one of up and down.

According to the invention, the virtual space physical model of the elevator riding object reserved by the user is intelligently searched by generating the virtual space form physical model parameters of the elevator riding end reserved by the user and displaying and feeding back the virtual space form physical model parameters of the elevator riding end reserved by the user to the user through the mobile end display screen, and the effects of assisting the user in acquiring the specific demand instruction parameters of the elevator riding by the user on line are achieved.

Preferably, the elevator is controlled to run to the elevator riding end reserved by the user according to the specific demand instruction data of the elevator for riding by the user; the specific demand instruction data of the user riding elevator and the space coordinate data of the elevator riding end are searched out corresponding space coordinate data of the elevator riding end according to the specific demand instruction keywords of the user riding elevator by adopting a data searching algorithm, and the operation steps for generating the space coordinate data of the elevator riding end reserved by the user by identification are as follows:

s31, instruction data are instructed according to specific requirements of the user riding the elevator Controlling the operation of the corresponding reserved physical elevator to reach an elevator riding end reserved by a user;

S32, establishing a space coordinate data set of the elevator riding end ，/>; Wherein the method comprises the steps ofIndicating the user reserved the elevator's/>Elevator riding terminal space coordinate data corresponding to floor numbers of riding terminals of elevators,/>Maximum value representing the number of elevator riding ends,/>，/>Represents the/>Longitude of space coordinate data of corresponding elevator riding terminal of individual elevator riding terminal,/>Represents the/>Latitude of space coordinate data corresponding to elevator riding ends of elevator riding ends,/>Represents the/>The elevator riding ends correspond to the altitude of the space coordinate data of the elevator riding ends;

s33, adopting a depth-first search algorithm to enable the user to take the specific demand instruction data of the elevator Space coordinate data set/>, of riding end of elevatorSpace coordinate data of elevator riding end/>Searching corresponding elevator riding terminal space coordinate data/>, according to elevator riding terminal floor number keywords in specific demand instructions of users riding elevatorsAnd carrying out space coordinate data/>, on the elevator riding endIdentification generation user reservation elevator riding terminal space coordinate data/>。

According to the invention, the space coordinate parameters of the elevator riding end reserved by the user are accurately searched out by accurately controlling the elevator riding position reserved by the elevator running user on line in a remote way, so that the effects of automatically reaching the user riding position by the reserved elevator by the user and intelligently searching the space coordinate of the elevator riding position reserved by the user are achieved by the remote control user.

Preferably, the collecting user real-time space coordinate data; and planning a shortest path from the user to the reservation elevator riding terminal according to the space coordinate data of the reservation elevator riding terminal of the user, the real-time space coordinate data of the user and the space geographic model data of the region where the elevator is located by adopting a data identification algorithm, and generating and outputting the optimal path data from the user to the reservation elevator riding terminal, wherein the operation steps are as follows:

S41, carrying a position sensor through a mobile terminal to collect real-time space coordinates of a user on line and generate real-time space coordinate data of the user Wherein/>Longitude,/>, representing real-time spatial coordinate data of userLatitude representing real-time spatial coordinate data of user,/>Representing the altitude of the user's real-time spatial coordinate data;

s42, establishing spatial geographic model data of region where elevator is located The regional space geographic model data of the elevator represents a spatial geographic model of a geographic building of a specific region where the user reserves the elevator;

S43, adopting a data identification algorithm to reserve the space coordinate data of the elevator riding end according to the user Real-time spatial coordinate data of the user/>And the elevator-located regional space geographic model data/>Planning out the shortest path from the user to the reservation elevator riding terminal, and generating the optimal path data from the user to the reservation elevator riding terminal; the data identification algorithm programs the shortest path from the user to the reserved elevator riding terminal as follows:

s431, initializing, updating the maximum iteration times T, updating and generating the individual positions of the path search white shark population, wherein the calculation formula of the individual positions of the path search white shark population is as follows: Wherein/> Representing Path search white shark individualsAt/>The position of the dimensional space, i.e. the path search white shark individuals/>Spatial geographical model data/>, of region where elevator is locatedLocation in search space,/>And/>Respectively representing the spatial geographic model data/>, of the region where the elevator is locatedUpper and lower limit of/>Representing the valueRandom numbers in between;

s432, in the speed updating stage, the path searching white shark senses the position of the white shark according to the movement of the prey and updates the speed of the white shark, namely the space and geographic model data of the region where the elevator is located According to space coordinate data/>, of elevator riding terminal reserved by a user, in the search spaceAnd user real-time spatial coordinate data/>Searching out the shortest path from the user to the reservation elevator riding terminal, and updating the self speed by a calculation formula as follows:

Wherein/> Representing Path search white shark individuals/>At/>After the iteration, the space geographic model data/>, of the region where the elevator is locatedSpeed in search space,/>Representing Path search white shark individuals/>At/>After the iteration, the space geographic model data/>, of the region where the elevator is locatedSpeed in search space,/>Expressed at/>After iteration, path searching white shark individuals in space geographic model data/>, of region where elevator is locatedOptimal position in search space,/>Representing Path search white shark individuals/>At/>After the iteration, the space geographic model data/>, of the region where the elevator is locatedAnd speed in search space/>Corresponding positions; /(I)Representing the arithmetic contraction coefficient,/>And/>Respectively express/>And/>Control coefficient of/>And/>All represent the value/>Random numbers in between;

S433, in the position updating stage, the path searching white shark updates the position of the white shark by moving towards the optimal prey to search the optimal or suboptimal prey, and the path searching white shark position updating calculation formula is as follows:

Wherein/> Path search white shark individuals/>, representing search prey in the location update phaseAt/>After the iteration, the space geographic model data/>, of the region where the elevator is locatedLocation in search space,/>Representing bit operators,/>Is a logic vector,/>And/>Homobit binary vector,/>Attractive coefficient representing approach of white shark to prey for path search,/>Representing the wave frequency of the path search white shark sports product;

the path search white shark is updated by moving toward the optimal path search white shark position to approach the optimal position of the prey, and the path search white shark position is updated as follows:

Wherein/> Path search white shark individuals/>, which represent optimal path search white shark locations for the location update phaseAt/>After the iteration, the space geographic model data/>, of the region where the elevator is locatedLocation in search space,/>、/>、/>All represent the value/>Random number between,/>Representing the distance between the route searching white shark and the prey, i.e. the spatial geographical model data/>, of the region in which the elevator is locatedAccording to space coordinate data/>, of elevator riding terminal reserved by a user, in the search spaceAnd user real-time spatial coordinate data/>Searching out the shortest path from the user to the reservation elevator riding terminal; Representing a sign return function,/> Olfactory and visual parameters representing a path searching white shark approaching an optimal prey;

S434, a fish swarm behavior stage, wherein the path search white shark population reserves the space geographic model data of the region where the elevator is in the position updating stage through feeding behaviors The optimal path in the search space searches for the white shark position, and updates the other path searching white shark individual positions according to the optimal path searching white shark position, and the path searching white shark individual position updating calculation formula is as follows:

Wherein/> Updating other path search white shark individuals/>, representing fish swarm behavior phasesAt the position ofAfter the iteration, the space geographic model data/>, of the region where the elevator is locatedSearching for a location in space, i.e. in the region space geographical model data/>, where the elevator is locatedAccording to space coordinate data/>, of elevator riding terminal reserved by a user, in the search spaceAnd user real-time spatial coordinate data/>Searching out the shortest path from the user to the reservation elevator riding terminal;

S435, outputting the shortest path from the user to the reservation elevator riding terminal and identifying and generating the optimal path data from the user to the reservation elevator riding terminal when the maximum iteration number is met ；

S44, the user arrives at the optimal path data of the reservation elevator riding terminalAnd outputting through a display screen of the mobile terminal.

The invention achieves the effect of efficiently and safely assisting the user to arrive at the reservation elevator riding position by scientifically planning the optimal path of the user to arrive at the reservation elevator riding end.

Preferably, when the elevator arrives at the elevator terminal reserved by the user according to the specific demand instruction data of the elevator for user riding, the operation steps of measuring and generating the waiting user time data of the elevator terminal reserved by the user and comparing the waiting user time data with the waiting user time threshold value of the elevator terminal reserved by the user, and constructing the judgment data of ending the action of the elevator terminal reserved by the user are as follows:

s51, when the elevator takes the elevator according to the specific demand instruction data of the user When the user-reserved elevator riding terminal arrives, the time of waiting for the user at the user-reserved elevator riding terminal is measured through a time timer and user waiting time data/>, of the user-reserved elevator riding terminal, is generated；

S52, establishing a time threshold value of waiting for reservation user at elevator riding terminalThe elevator riding terminal waiting reservation user time threshold value represents the maximum value of the waiting user time of the elevator reaching the user reservation elevator riding terminal;

S53, reserving waiting time data of the elevator riding terminal by the user Waiting for reservation user time threshold with elevator riding terminal/>Time and value comparison is carried out, and judgment data/>, of the action ending of the reserved user waiting at the elevator riding end, is constructed；

When (when)＜/>When the waiting time of the elevator at the user reservation elevator riding side does not exceed the maximum value of the set waiting time, outputting the judgment data/>, of the end of the action of the elevator riding side waiting reservation userIn order to continue the waiting action, the elevator continues to reserve an elevator riding end for waiting at the user;

When (when) ≥/>When the waiting time of the elevator at the user reservation elevator riding side exceeds or reaches the maximum value of the set waiting time, outputting the judgment data/>, of the end of the action of the elevator riding side waiting reservation userTo wait for the action to end.

According to the invention, the time value comparison is carried out between the time parameter of the waiting user of the reserved elevator and the time threshold value of the waiting user of the elevator riding terminal through the time timer, the time of the waiting user of the reserved elevator is accurately controlled, and the effect of accurately controlling the action of the waiting user process of the reserved elevator is achieved.

Preferably, when the determination data that the action of the elevator riding terminal waiting for the reservation user is finished is that the waiting action is finished, the facial feature image data of the passenger at the elevator riding terminal and the identity feature data of the reservation user are collected to compare the facial feature image of the passenger at the elevator riding terminal with the identity feature of the reservation user, and the operation steps of analyzing and constructing the execution result data of the user riding reservation elevator are as follows:

s61, waiting for reservation user action ending judgment data when the elevator riding terminal In order to wait for the action to finish, acquiring facial feature images of passengers at the elevator riding end through a cloud monitoring lens and establishing a facial feature image data set/>，/>; Wherein/>Representation acquisition of the/>Facial feature image data of passenger at riding end of elevatorA maximum value representing the number of face feature image data of passengers at the riding end of the elevator;

s62, adopting a bidirectional search algorithm to collect facial feature image data of passengers at the riding end of the elevator Face characteristic image data/>, of passenger at middle elevator riding endWith the reservation user identity feature data/>Performing image feature matching on facial feature images of passengers at the elevator riding end and facial feature images in identity features of reservation users, and analyzing and constructing user riding reservation elevator execution result data/>；

When (when)And/>If the facial feature image matching is successful, which indicates that the user has reserved an elevator, the elevator execution result data/>, which indicates that the user has reserved the elevator, is outputFor execution, the elevator remote terminal finishes the online control operation at the moment;

When (when) And/>If the facial feature images are not successfully matched, and the elevator which indicates that the user does not take the reservation is displayed, the elevator execution result data/>, of the user taking the reservation, is outputIs not executed.

According to the invention, the cloud monitoring lens is used for collecting facial feature image parameters of passengers at the elevator riding end and carrying out image matching with the identity feature data of the reservation user in combination with the bidirectional search algorithm, so that the execution result of the reservation elevator riding by the reservation user is accurately analyzed, and the effect of intelligently monitoring the behavior of the reservation elevator riding by the reservation user is achieved.

Preferably, when the execution result data of the user riding reservation elevator is not executed, the operation steps of executing the bad record processing job of the user riding reservation elevator for the reservation user according to the reservation user identity characteristic data are as follows:

s71, the user takes the reservation elevator to execute the result data If not, according to the reserved user identity characteristic data/>And executing the bad record processing operation of the user riding reservation elevator by limiting the number of times of online reservation elevator for the reservation user.

According to the invention, the bad behavior of the user riding reserved elevator is scientifically processed according to the reserved user riding elevator behavior, so that the accurate supervision and feedback processing of the elevator remote control system on the user behavior are achieved, and the elevator running efficiency and quality are improved.

The elevator remote terminal online control system based on the Internet of things for realizing the elevator remote terminal online control method comprises a user elevator riding demand reservation control module, a user riding elevator action execution control module and a user riding elevator execution monitoring module; the user elevator riding demand reservation control module, the user elevator riding action execution control module and the user elevator riding execution monitoring module are in communication connection through the Internet of things;

the user elevator riding demand reservation control module comprises a user identity information acquisition unit, a user reservation riding elevator object information acquisition unit, an elevator riding end virtual space form physical model storage unit, an elevator riding end virtual space form physical model search unit, a reservation elevator riding end virtual space form physical model display unit and a user elevator riding demand instruction acquisition unit;

The user identity information acquisition unit acquires reservation user identity characteristic data through the mobile terminal; the user reservation riding elevator object information acquisition unit acquires the characteristic data of the user reservation riding elevator object through the mobile terminal; the elevator riding end virtual space form physical model storage unit is used for storing elevator riding end virtual space form physical model data; the elevator taking end virtual space form physical model searching unit searches the characteristic data of the elevator taking object reserved by the user and the elevator taking end virtual space form physical model data according to the characteristic key words of the elevator taking object reserved by the user by adopting a data searching algorithm to obtain corresponding elevator taking end virtual space form physical model data, and marks and generates the elevator taking end virtual space form physical model data reserved by the user; the reserved elevator riding end virtual space form physical model display unit displays the reserved elevator riding end virtual space form physical model data of the user through a mobile end display screen; the user elevator riding demand instruction acquisition unit is used for assisting a user in acquiring specific demand instruction data of the user riding elevator;

the user riding elevator action execution control module comprises a reserved elevator operation execution unit, an elevator riding end space coordinate storage unit, a reserved elevator riding end space coordinate searching unit, a user space coordinate acquisition unit, an elevator region space geographic model storage unit and a user-to-elevator riding end path planning output unit;

The reserved elevator operation execution unit controls the elevator to operate according to the specific demand instruction data of the user riding elevator to reach an elevator riding end reserved by the user; the elevator riding end space coordinate storage unit is used for storing elevator riding end space coordinate data; the reserved elevator riding terminal space coordinate searching unit searches the specific demand instruction data of the user riding elevator and the elevator riding terminal space coordinate data according to the specific demand instruction keyword of the user riding elevator by adopting a data searching algorithm to obtain corresponding elevator riding terminal space coordinate data, and marks and generates reserved elevator riding terminal space coordinate data of the user; the user space coordinate acquisition unit acquires real-time space coordinate data of a user through the position sensor; the elevator-located region space geographic model storage unit is used for storing the elevator-located region space geographic model data; the user-to-elevator riding-end path planning output unit adopts a data identification algorithm to plan the shortest path from the user to the reserved elevator riding end according to the space coordinate data of the reserved elevator riding end of the user, the real-time space coordinate data of the user and the space geographic model data of the region where the elevator is located, generates the optimal path data from the user to the reserved elevator riding end and outputs the optimal path data through a display screen of the mobile end;

The user riding elevator execution monitoring module comprises an elevator riding end waiting user timing unit, an elevator riding end waiting user time threshold value storage unit, an elevator riding end waiting user action ending judgment unit, an elevator riding end passenger identity information acquisition unit, a user riding reserved elevator execution result analysis unit and a user riding reserved elevator bad record processing unit;

The elevator riding terminal waiting user timing unit acquires the waiting user time data of the elevator riding terminal reserved by the user through the time timer; the elevator riding terminal waiting user time threshold value storage unit is used for storing the elevator riding terminal waiting reservation user time threshold value; the elevator riding terminal waiting user action ending judging unit compares the time value of the user waiting user time data of the user reservation elevator riding terminal with the time threshold value of the user waiting reservation user time to construct elevator riding terminal waiting user action ending judging data; the elevator riding-end passenger identity information acquisition unit acquires facial feature image data of the elevator riding-end passenger through the cloud monitoring lens; the user riding reservation elevator execution result analysis unit compares the facial feature image data of the elevator riding passenger with the reservation user identity feature data to compare the facial feature image of the elevator riding passenger with the identity feature of the reservation user, and analyzes and constructs user riding reservation elevator execution result data; and the user riding reservation elevator execution result analysis unit is used for executing the bad record processing operation of the user riding reservation elevator for the reservation user according to the reservation user identity characteristic data.

(III) beneficial effects

The invention provides an elevator remote terminal on-line control system and method based on the Internet of things. The beneficial effects are as follows:

1. the user identity information acquisition unit and the user reservation riding elevator object information acquisition unit are matched with each other, the mobile terminal is adopted to accurately acquire the identity information of the reservation user and riding elevator object information on line, data support is provided for online control of an elevator remote terminal based on the Internet of things, and the riding requirement of the online reservation elevator is met; the elevator taking terminal virtual space form physical model searching unit is used for matching the characteristic parameters of the elevator taking object reserved by the user with the parameters of the elevator taking terminal virtual space form physical model by adopting an intelligent searching algorithm, searching out the parameters of the elevator taking terminal virtual space form physical model reserved by the user, and realizing intelligent searching of the virtual space physical model of the elevator taking object reserved by the user; the reserved elevator riding end virtual space form physical model display unit and the user elevator riding demand instruction acquisition unit are matched with each other, the reserved elevator riding end virtual space form physical model parameters of the user are displayed and fed back to the user through the mobile end display screen, the user is assisted to acquire the specific demand instruction parameters of the user riding elevator on line, and the remote reserved riding elevator demand function is realized.

2. Remotely and accurately controlling the elevator riding position reserved by an elevator running user on line through a reserved elevator running executing unit; the elevator riding end space coordinate storage unit and the reserved elevator riding end space coordinate searching unit are matched with each other, an intelligent searching algorithm is adopted to match the specific demand instruction parameters of the user riding elevator with the elevator riding end space coordinate parameters, the reserved elevator riding end space coordinate parameters of the user are accurately searched, and the intelligent searching of the space coordinates of the reserved elevator riding position of the user is realized; the user space coordinate acquisition unit and the user-to-elevator riding end path planning output unit are mutually matched, and the optimal path for the user to reach the reserved elevator riding end is scientifically planned by accurately and online acquiring the real-time space coordinate parameters of the user and combining an intelligent recognition algorithm with the real-time space coordinate parameters of the user and the space geographic model parameters of the region where the elevator is located, so that the reserved elevator riding position is effectively and safely achieved by the auxiliary user, and individuation and intellectualization of an elevator control system are improved.

3. The time value comparison is carried out between the time parameter of the reserved elevator waiting user and the time threshold value of the reserved elevator waiting user through the time timer, the time threshold value storage unit of the reserved elevator waiting user is accurately controlled, and the accurate control of the process action of the reserved elevator waiting user is realized; the elevator riding terminal passenger identity information acquisition unit is matched with the user riding reservation elevator execution result analysis unit, image matching is carried out on the face characteristic image parameters of the elevator riding terminal passenger combined with the intelligent search algorithm and the reservation user identity characteristic data through the cloud monitoring lens, the reservation user riding reservation elevator execution result is accurately analyzed, and the intelligent monitoring reservation user riding reservation elevator behavior is realized; the user riding reservation elevator execution result analysis unit scientifically processes bad behaviors of the user riding reservation elevator according to the behaviors of the reservation user riding elevator, realizes accurate supervision and feedback processing of the elevator remote control system on the behaviors of the user, improves the running efficiency and quality of the elevator, and improves the experience of the user riding elevator.

Drawings

Fig. 1 is a schematic block diagram of an online control system of an elevator remote terminal based on the internet of things, which is provided by the invention;

fig. 2 is a flowchart of an elevator remote terminal on-line control method provided by the invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The embodiment of the elevator remote terminal on-line control system and method based on the Internet of things is as follows:

Referring to fig. 1-2, the elevator remote terminal on-line control method comprises the following steps:

S2, searching corresponding elevator riding terminal virtual space morphological physical model data according to the user-reserved riding elevator object characteristic keywords by adopting a data searching algorithm and identifying and generating user-reserved elevator riding terminal virtual space morphological physical model data; displaying virtual space form physical model data of a user reservation elevator riding end through a mobile end, and assisting the user to acquire specific demand instruction data of the user riding elevator;

s3, controlling the elevator to run to an elevator riding end reserved by a user according to the specific demand instruction data of the elevator riding by the user; the specific demand instruction data of the user riding the elevator and the space coordinate data of the elevator riding end are searched out corresponding space coordinate data of the elevator riding end according to the specific demand instruction keywords of the user riding the elevator by adopting a data searching algorithm, and the space coordinate data of the elevator riding end reserved by the user is generated by identification;

s5, when the elevator arrives at the elevator riding terminal reserved by the user according to the specific demand instruction data of the elevator riding by the user, measuring and generating the waiting user time data of the elevator riding terminal reserved by the user, and comparing the waiting user time data with the waiting reservation user time threshold value of the elevator riding terminal to construct the waiting reservation user action ending judgment data of the elevator riding terminal;

s6, when the action ending judgment data of the elevator riding terminal waiting for the reservation user is the ending of the waiting action, acquiring facial feature image data of the elevator riding terminal passenger and identity feature data of the reservation user, comparing the facial feature image of the elevator riding terminal passenger with the identity feature of the reservation user, and analyzing and constructing the execution result data of the user riding reservation elevator;

And S7, when the execution result data of the user riding reservation elevator is not executed, executing the bad record processing job of the user riding reservation elevator for the reservation user according to the identity characteristic data of the reservation user.

Further, referring to fig. 1-2, the steps of collecting the characteristic data of the reserved user identity and the characteristic data of the reserved riding elevator object of the user are as follows:

S11, acquiring user identity data of a remote reservation riding elevator through a mobile terminal and generating reservation user identity characteristic data The reserved user identity characteristic data comprise name data, identity card number data, address data, fingerprint data and facial characteristic image data, and the mobile terminal comprises any one of a mobile phone, a smart watch and a tablet personal computer;

collecting the position characteristic data of the object of the user reservation riding elevator through the mobile terminal and generating the characteristic data of the object of the user reservation riding elevator The user reservation takes the elevator object characteristic data to include the name of the residential area or business area where the elevator is located and the corresponding building number.

The method comprises the steps that a data searching algorithm is adopted to search corresponding elevator riding terminal virtual space morphological physical model data according to user riding terminal virtual space morphological physical model data and user riding terminal virtual space morphological physical model data according to user riding terminal reserved elevator object characteristic keywords, and identification is generated to generate user riding terminal reserved elevator virtual space morphological physical model data; the method comprises the following steps of displaying virtual space form physical model data of a user reservation elevator riding end through a mobile end and assisting a user to acquire specific demand instruction data of the user riding elevator:

S21, establishing a virtual space form physical model data set of an elevator riding end ，; Wherein/>Represents the/>Virtual space morphological physical model data of elevator riding end corresponding to characteristic data of individual elevator objects,/>The method comprises the steps that the maximum value of the number of elevator objects is represented, and the elevator riding end virtual space form physical model data represent that the elevator riding ends of the whole elevator objects corresponding to buildings in different residential areas or commercial areas are constructed into a virtual space form physical model;

s22, reserving object characteristic data of riding elevator by user by adopting depth-first search algorithm Virtual space morphological physical model data set/>, of elevator riding endVirtual space morphological physical model data/>, of elevator riding endSearching out characteristic data/>, of the object of the user reservation riding elevator according to the characteristic keywords of the object of the user reservation riding elevatorCorresponding elevator riding end virtual space morphological physical model data/>And mark and generate virtual space form physical model data/>, of user reservation elevator riding end；

S23, reserving virtual space form physical model data of elevator riding end by userDisplaying through a display screen of the mobile terminal;

s24, the user controls the user to reserve virtual space form physical model data of the elevator riding end through operating a display screen of the mobile end Moving to check elevator riding ends of different floors until the position of the reserved elevator riding end required by a user is searched, and clicking physical model data/>, of virtual space morphology of the reserved elevator riding end of the userAcquiring a user reservation riding elevator direction and a floor number of a reservation riding elevator riding terminal, and generating specific demand instruction data/>, of the user riding elevator; The direction of the user reservation riding the elevator comprises any one of up and down.

The user identity information acquisition unit and the user reservation riding elevator object information acquisition unit are matched with each other, the mobile terminal is adopted to accurately acquire the identity information of the reservation user and riding elevator object information on line, data support is provided for online control of an elevator remote terminal based on the Internet of things, and the riding requirement of the online reservation elevator is met; the elevator taking terminal virtual space form physical model searching unit is used for matching the characteristic parameters of the elevator taking object reserved by the user with the parameters of the elevator taking terminal virtual space form physical model by adopting an intelligent searching algorithm, searching out the parameters of the elevator taking terminal virtual space form physical model reserved by the user, and realizing intelligent searching of the virtual space physical model of the elevator taking object reserved by the user; the reserved elevator riding end virtual space form physical model display unit and the user elevator riding demand instruction acquisition unit are matched with each other, the reserved elevator riding end virtual space form physical model parameters of the user are displayed and fed back to the user through the mobile end display screen, the user is assisted to acquire the specific demand instruction parameters of the user riding elevator on line, and the remote reserved riding elevator demand function is realized.

Further, referring to fig. 1-2, the elevator is controlled to run to the elevator riding end reserved by the user according to the specific demand instruction data of the user riding the elevator; the specific demand instruction data of the user riding the elevator and the space coordinate data of the elevator riding end are searched out corresponding space coordinate data of the elevator riding end according to the specific demand instruction keywords of the user riding the elevator by adopting a data searching algorithm, and the operation steps for generating the space coordinate data of the reserved elevator riding end by the user are identified as follows:

S31, instruction data are instructed according to specific requirements of a user riding an elevator Controlling the operation of the corresponding reserved physical elevator to reach an elevator riding end reserved by a user;

S33, adopting a depth-first search algorithm to enable a user to take specific elevator demand instruction data Space coordinate data set/>, of riding end of elevatorSpace coordinate data of elevator riding end/>Searching corresponding elevator riding terminal space coordinate data/>, according to elevator riding terminal floor number keywords in specific demand instructions of users riding elevatorsSpace coordinate data/>, of elevator riding endIdentification generation user reservation elevator riding terminal space coordinate data/>。/>

Collecting real-time space coordinate data of a user; the data identification algorithm is adopted to plan the shortest path from the user to the reserved elevator riding terminal according to the space coordinate data of the reserved elevator riding terminal of the user, the real-time space coordinate data of the user and the space geographic model data of the region where the elevator is located, and the operation steps of generating and outputting the optimal path data from the user to the reserved elevator riding terminal are as follows:

s42, establishing spatial geographic model data of region where elevator is located The regional space geographic model data of the elevator represents a spatial geographic model of a geographic building of a specific region where a user reserves the elevator;

s43, reserving space coordinate data of elevator riding end according to user by adopting data identification algorithm User real-time spatial coordinate data/>And elevator region space geographic model data/>Planning out the shortest path from the user to the reservation elevator riding terminal, and generating the optimal path data from the user to the reservation elevator riding terminal; the data identification algorithm programs the shortest path from the user to the reserved elevator riding terminal as follows:

S44, the user arrives at the reservation elevator riding end to optimize the path dataAnd outputting through a display screen of the mobile terminal.

Remotely and accurately controlling the elevator riding position reserved by an elevator running user on line through a reserved elevator running executing unit; the elevator riding end space coordinate storage unit and the reserved elevator riding end space coordinate searching unit are matched with each other, an intelligent searching algorithm is adopted to match the specific demand instruction parameters of the user riding elevator with the elevator riding end space coordinate parameters, the reserved elevator riding end space coordinate parameters of the user are accurately searched, and the intelligent searching of the space coordinates of the reserved elevator riding position of the user is realized; the user space coordinate acquisition unit and the user-to-elevator riding end path planning output unit are mutually matched, and the optimal path for the user to reach the reserved elevator riding end is scientifically planned by accurately and online acquiring the real-time space coordinate parameters of the user and combining an intelligent recognition algorithm with the real-time space coordinate parameters of the user and the space geographic model parameters of the region where the elevator is located, so that the reserved elevator riding position is effectively and safely achieved by the auxiliary user, and individuation and intellectualization of an elevator control system are improved.

Further, referring to fig. 1-2, when the elevator arrives at the elevator riding terminal reserved by the user according to the specific demand instruction data of the elevator riding by the user, the operation steps of measuring and generating waiting user time data of the elevator riding terminal reserved by the user and comparing the waiting user time data with a waiting user time threshold value of the elevator riding terminal reserved by the user to construct the waiting user action ending judgment data of the elevator riding terminal reserved by the user are as follows:

s51, when the elevator takes the elevator according to the specific requirement instruction data of the user When the user-reserved elevator riding terminal arrives, the time of waiting for the user at the user-reserved elevator riding terminal is measured through a time timer and user waiting time data/>, of the user-reserved elevator riding terminal, is generated；

S53, reserving waiting time data of elevator riding terminal by user Waiting for reservation user time threshold with elevator riding terminal/>Time and value comparison is carried out, and judgment data/>, of the action ending of the reserved user waiting at the elevator riding end, is constructed；

When the action ending judgment data of the elevator riding terminal waiting for the reservation user is that the waiting action is ended, acquiring facial feature image data of the passenger at the elevator riding terminal and identity feature data of the reservation user to compare facial feature images of the passenger at the elevator riding terminal with identity features of the reservation user, and analyzing and constructing the execution result data of the user riding reservation elevator, wherein the operation steps are as follows:

s62, adopting a bidirectional search algorithm to collect facial feature image data of passengers at the riding end of the elevator Face characteristic image data/>, of passenger at middle elevator riding endWith reservation user identity data/>Performing image feature matching on facial feature images of passengers at the elevator riding end and facial feature images in identity features of reservation users, and analyzing and constructing user riding reservation elevator execution result data/>；

When (when) And/>If the facial feature images are not successfully matched, and the elevator which indicates that the user does not take the reservation is displayed, the elevator execution result data/>, of the user taking the reservation, is outputIs not executed. /(I)

When the execution result data of the user riding reserved elevator is not executed, the operation steps of executing the bad record processing operation of the user riding reserved elevator for the reserved user according to the reserved user identity characteristic data are as follows:

s71, user riding reservation elevator execution result data If not, according to the reserved user identity characteristic data/>And executing the bad record processing operation of the user riding reservation elevator by limiting the number of times of online reservation elevator for the reservation user.

The time value comparison is carried out between the time parameter of the reserved elevator waiting user and the time threshold value of the reserved elevator waiting user through the time timer, the time threshold value storage unit of the reserved elevator waiting user is accurately controlled, and the accurate control of the process action of the reserved elevator waiting user is realized; the elevator riding terminal passenger identity information acquisition unit is matched with the user riding reservation elevator execution result analysis unit, image matching is carried out on the face characteristic image parameters of the elevator riding terminal passenger combined with the intelligent search algorithm and the reservation user identity characteristic data through the cloud monitoring lens, the reservation user riding reservation elevator execution result is accurately analyzed, and the intelligent monitoring reservation user riding reservation elevator behavior is realized; the user riding reservation elevator execution result analysis unit scientifically processes bad behaviors of the user riding reservation elevator according to the behaviors of the reservation user riding elevator, realizes accurate supervision and feedback processing of the elevator remote control system on the behaviors of the user, improves the running efficiency and quality of the elevator, and improves the experience of the user riding elevator.

The elevator remote terminal online control system based on the Internet of things realizes the elevator remote terminal online control method, and comprises a user elevator riding demand reservation control module, a user riding elevator action execution control module and a user riding elevator execution monitoring module; the user elevator riding demand reservation control module, the user riding elevator action execution control module and the user riding elevator execution monitoring module are in communication connection through the Internet of things;

The user elevator riding demand reservation control module comprises a user identity information acquisition unit, a user riding object information acquisition unit, an elevator riding end virtual space form physical model storage unit, an elevator riding end virtual space form physical model search unit, a riding end virtual space form physical model reservation display unit and a user elevator riding demand instruction acquisition unit;

The user identity information acquisition unit acquires reservation user identity characteristic data through the mobile terminal; the user reservation riding elevator object information acquisition unit acquires characteristic data of the user reservation riding elevator object through the mobile terminal; the elevator riding end virtual space form physical model storage unit is used for storing elevator riding end virtual space form physical model data; the elevator riding terminal virtual space form physical model searching unit searches the corresponding elevator riding terminal virtual space form physical model data according to the user-reserved riding elevator object characteristic keywords by adopting a data searching algorithm and generates user-reserved elevator riding terminal virtual space form physical model data in a marking mode; the reserved elevator riding end virtual space form physical model display unit displays the reserved elevator riding end virtual space form physical model data of a user through a mobile end display screen; the user elevator riding demand instruction acquisition unit is used for assisting a user in acquiring specific demand instruction data of the user riding elevator;

The user riding elevator action execution control module comprises a reserved elevator operation execution unit, an elevator riding end space coordinate storage unit, a reserved elevator riding end space coordinate search unit, a user space coordinate acquisition unit, an elevator region space geographic model storage unit and a user-to-elevator riding end path planning output unit;

The reserved elevator operation execution unit controls the elevator to operate according to the specific demand instruction data of the user riding the elevator to reach an elevator riding end reserved by the user; the elevator riding end space coordinate storage unit is used for storing elevator riding end space coordinate data; the reservation elevator riding terminal space coordinate searching unit searches corresponding elevator riding terminal space coordinate data according to the user riding elevator specific demand command keywords by adopting a data searching algorithm and generates user reservation elevator riding terminal space coordinate data by identification; the user space coordinate acquisition unit acquires real-time space coordinate data of a user through the position sensor; the elevator-located region space geographic model storage unit is used for storing the elevator-located region space geographic model data; the user-to-elevator riding terminal path planning output unit adopts a data identification algorithm to plan the shortest path from the user to the reserved elevator riding terminal according to the space coordinate data of the reserved elevator riding terminal of the user, the real-time space coordinate data of the user and the space geographic model data of the region where the elevator is located, generates the optimal path data from the user to the reserved elevator riding terminal and outputs the optimal path data through a display screen of the mobile terminal;

The elevator riding terminal waiting user timing unit acquires the waiting user time data of the elevator riding terminal reserved by the user through the time timer; the elevator riding terminal waiting user time threshold value storage unit is used for storing the elevator riding terminal waiting reservation user time threshold value; the elevator riding terminal waiting user action ending judging unit compares the time value of the user waiting user time data of the elevator riding terminal waiting user with the time threshold value of the elevator riding terminal waiting user time to construct elevator riding terminal waiting user action ending judging data; the elevator riding-end passenger identity information acquisition unit acquires facial feature image data of the elevator riding-end passenger through the cloud monitoring lens; the user riding reservation elevator execution result analysis unit compares the facial feature image data of the elevator riding passenger with the identity feature data of the reservation user, analyzes and constructs the user riding reservation elevator execution result data; and the user riding reservation elevator execution result analysis unit is used for executing the bad record processing operation of the user riding reservation elevator for the reservation user according to the reservation user identity characteristic data.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. The elevator remote terminal on-line control method is characterized by comprising the following steps:

2. The elevator remote terminal on-line control method according to claim 1, characterized in that: the step S1 comprises the following steps:

3. The elevator remote terminal on-line control method according to claim 2, characterized in that: the step S2 comprises the following steps:

4. The elevator remote terminal on-line control method according to claim 3, characterized in that: the step S3 comprises the following steps:

S32, establishing a space coordinate data set of the elevator riding end ，/>; Wherein/>Indicating the user reserved the elevator's/>Elevator riding terminal space coordinate data corresponding to floor numbers of riding terminals of elevators,/>Maximum value representing the number of elevator riding ends,/>，/>Represents the/>Longitude of space coordinate data of corresponding elevator riding terminal of individual elevator riding terminal,/>Represents the/>Latitude of space coordinate data corresponding to elevator riding ends of elevator riding ends,/>Represents the/>The elevator riding ends correspond to the altitude of the space coordinate data of the elevator riding ends;

5. The elevator remote terminal on-line control method according to claim 4, characterized in that: the step S4 comprises the following steps:

s431, initializing, updating the maximum iteration times T, updating and generating the individual positions of the path search white shark population, wherein the calculation formula of the individual positions of the path search white shark population is as follows: Wherein/> Representing Path search white shark individuals/>At the position ofThe position of the dimensional space, i.e. the path search white shark individuals/>Spatial geographical model data/>, of region where elevator is locatedLocation in search space,/>And/>Respectively representing the spatial geographic model data/>, of the region where the elevator is locatedUpper and lower limit of/>Representing the value/>Random numbers in between;

s432, in the speed updating stage, the path searching white shark senses the position of the white shark according to the movement of the prey and updates the speed of the white shark, namely the space and geographic model data of the region where the elevator is located Space coordinate data of elevator riding terminal reserved according to user in search spaceAnd user real-time spatial coordinate data/>Searching out the shortest path from the user to the reserved elevator riding terminal:

S433, a position updating stage, wherein the path searching white shark updates the position of the path searching white shark by moving towards the optimal prey to search for the optimal or suboptimal prey, and the path searching white shark moves towards the optimal path searching white shark position to approach the optimal position of the prey;

S434, a fish swarm behavior stage, wherein the path search white shark population reserves the space geographic model data of the region where the elevator is in the position updating stage through feeding behaviors Searching the white shark position by the optimal path in the search space, and updating the individual positions of the white shark in other paths according to the optimal path searching the white shark position, namely, the geographic model data/>, of the space of the region where the elevator is locatedAccording to space coordinate data/>, of elevator riding terminal reserved by a user, in the search spaceAnd user real-time spatial coordinate data/>Searching out the shortest path from the user to the reservation elevator riding terminal;

6. The elevator remote terminal on-line control method according to claim 5, characterized in that: the step S5 comprises the following steps:

7. The elevator remote terminal on-line control method according to claim 6, characterized in that: the step S6 comprises the following steps:

8. The elevator remote terminal on-line control method according to claim 7, characterized in that: the step S7 comprises the following steps:

9. An online control system of an elevator remote terminal based on the internet of things for implementing the online control method of the elevator remote terminal according to any one of claims 1 to 8, characterized in that: the system comprises a user elevator riding demand reservation control module, a user riding elevator action execution control module and a user riding elevator execution monitoring module.