CN114834982B - Intelligent elevator dispatching system based on digital twin technology - Google Patents
Intelligent elevator dispatching system based on digital twin technology Download PDFInfo
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- CN114834982B CN114834982B CN202210553666.4A CN202210553666A CN114834982B CN 114834982 B CN114834982 B CN 114834982B CN 202210553666 A CN202210553666 A CN 202210553666A CN 114834982 B CN114834982 B CN 114834982B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
- B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3461—Data transmission or communication within the control system between the elevator control system and remote or mobile stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/403—Details of the change of control mode by real-time traffic data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/46—Switches or switchgear
- B66B2201/4607—Call registering systems
- B66B2201/4638—Wherein the call is registered without making physical contact with the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/46—Switches or switchgear
- B66B2201/4607—Call registering systems
- B66B2201/4676—Call registering systems for checking authorization of the passengers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Elevator Control (AREA)
Abstract
The invention discloses an intelligent elevator dispatching system based on a digital twin technology, which is used for receiving an elevator reservation task from a mobile phone APP by a user through establishing a digital twin virtual model corresponding to an entity elevator, so as to generate a control signal for the entity elevator, and improve the operation efficiency and user experience of the elevator.
Description
Technical Field
The invention relates to the technical field of intelligent reservation calling, in particular to an intelligent elevator dispatching system based on a digital twin technology.
Background
The traffic of people going upstairs and downstairs in the peak period is large, the number of people taking the elevator is large, and the average elevator waiting time is multiplied. According to investigation, the average waiting time of elevator waiting personnel in the peak period exceeds 15min, so that time is wasted, elevator taking personnel are excessive, overload of the elevator is easy to occur, and the service life of the elevator is reduced.
The digital twin technology establishes the multi-dimensionality of the physical entity in a digital mode, wherein the multi-dimensionality comprises a physical dimensionality, a virtual space dimensionality, a service dimensionality, a data dimensionality and a connection dimensionality, adopts multi-time space dimensionality, multidisciplinary, multi-physical quantity and multi-probability digital entities to simulate and describe the properties, behaviors, rules and the like of the physical entity in a real environment, and can solve the problem of physical fusion of intelligent manufacturing information due to digital twin, so that the digital twin technology is successfully landed in various industrial fields.
Disclosure of Invention
The invention aims to provide an intelligent elevator dispatching system based on a digital twin technology, which aims to solve the problem of low efficiency of the current elevator dispatching system.
In order to solve the technical problems, the invention provides a technical scheme that: an intelligent elevator dispatching system based on a digital twin technology comprises a mobile phone APP reservation calling ladder system, a calling car personnel dynamic acquisition subsystem, a data twin intelligent dispatching subsystem and a digital twin visualization subsystem;
the mobile phone APP reservation calling ladder system comprises a login module, a personal information module, an elevator information module and a work order information module, wherein the subsystem is used for a user to log in, inquire personal information, inquire elevator information and send elevator reservation and calling instructions;
the dynamic collecting subsystem of the calling elevator car personnel comprises a real-time response collecting module, a control parameter driving module and an output braking module; the real-time response acquisition module and the control parameter driving module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and the output braking module performs elevator starting and braking according to the instruction sent by the control parameter driving module;
the data twin intelligent scheduling subsystem comprises a digital twin virtual model module, a virtual elevator braking calculation module, an elevator life calculation period module, an elevator control parameter database and a data processing module; the digital twin virtual model module is used for establishing a digital twin virtual model according to instructions sent by a user and actual operation data of the elevator, the virtual elevator brake calculation module outputs virtual operation data according to simulation operation results of the digital twin virtual model, and the data processing module performs data processing according to the actual operation data and the virtual operation data, generates control signals and sends the control signals to the control parameter driving module;
the data twinning visualization subsystem comprises an output data visualization module, and the data visualization module performs visualization processing according to a control signal generated by the data processing module and sends a visualization result to the user side.
According to the scheme, personal information registration, password searching, password registration and short message verification registration are carried out; the personal information module is used for carrying out password modification, information feedback and elevator taking information recording; the elevator information module is used for carrying out real-time monitoring on elevator basic information, elevator maintenance data, elevator positions, elevator monitoring images and elevator dynamic data and controlling the elevator, wherein the elevator basic information, the elevator maintenance data and the elevator position information allow a user to directly read, and the checking of the elevator dynamic data and the elevator monitoring images and the controlling of the elevator only allow authorized users to execute; the work order information module is used for executing elevator reservation and calling for help of the user.
According to the scheme, the data processing module performs the specific process of data processing,
the elevator traffic types are divided into an up peak, a down peak, an idle mode and two-way traffic according to the passenger carrying condition of the elevator, and the elevator traffic types respectively correspond to elevator carrying conditions that most passengers travel from one floor to other floors, most passengers descend from high floors to one floor, the number of passengers carrying the elevator is smaller than a set threshold value within a certain time, and passengers frequently travel between two floors;
setting the weight coefficients corresponding to the four modes,
wherein W is 1 For average waiting time weight coefficient, W 2 For average riding time weight coefficient, W 3 Is a long-time waiting rate weight coefficient, W 4 Is the weight coefficient of the degree of congestion of the elevator, W 5 The energy consumption weight coefficient of the system;
an evaluation function is established according to the weight coefficient,
S(i)＝W 1 S wait +W 2 S take +W 3 S long-wait +W 4 S crowd +W 5 S energy
wherein i is the elevator number, S wait For average waiting time membership degree S take For average riding time membership degree S long-wait Is the membership degree of long-time waiting rate, S crowd Is the membership degree of the elevator congestion degree, S energy Membership degree for system energy consumption; the smaller each membership is, the better the performance corresponding to the membership is, and the smaller the value of the evaluation function S (i) is, the better the overall performance of the elevator system is;
calculating waiting time T of elevator wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c ；
In which the elevator time T is waited for wait The calculation is carried out as follows,
T wait ＝T floor ×N 1 +T stop ×N 2
setting T wait When the value of (2) is less than 20s, the psychological state of the passenger is the best, when the value is 20-60 s, the psychological state of the passenger is acceptable, and when the value is more than 60s, the psychological state of the passenger is annoyance;
elevator run time T run The calculation is carried out as follows,
T run ＝MAX(T irun )
T irun for the aggregate set of response times corresponding to all call signals sent to the ith elevator, when T run If the value of (2) is less than 40s, the waiting time is considered to be ideal, if the value is 40-70 s, the waiting time is considered to be acceptable, and if the value is more than 80s, the waiting time is considered to be long;
number of remaining capacity of car Q m The calculation is carried out as follows,
Q m ＝Q in -Q out +Q now
wherein Q is in For the number of elevator people at the current moment, Q out For the elevator people number reduction at the current moment, Q now The number of people in the car before the elevator stops; the number of people Q is the number of people with the residual capacity of the lift car m Dividing the maximum number of the accommodated persons by the number of the elevator cars to obtain the percentage of the residual capacity of the elevator cars, wherein when the percentage of the residual capacity of the elevator cars is more than 70%, the riding comfort level is considered to be very satisfactory, when the percentage of the residual capacity of the elevator cars is 30% -70%, the riding comfort level is considered to be acceptable, and when the percentage of the residual capacity of the elevator cars is less than 30%, the riding comfort level is considered to be very poor;
degree of centralization R of elevator calling g The calculation process is as follows,
wherein H is the distance between the current floor of the elevator and the calling floor, L min Is the minimum distance between the newly generated call landing and the possible stop landing of the car; when the elevator calls the centralized degree R g If the value of (2) is smaller than 0.2, the energy consumption of the elevator is considered to be ideal, and if the value is 0.2-0.8, the energy consumption of the elevator is considered to be acceptable, and if the value is larger than 0.8, the energy consumption of the elevator is considered to be higher;
elevator utilization ratio U c The calculation process of (a) is as follows,
wherein K is the floor number of the elevator, J is the stopping times, L i The product of the number of floors of the calling floor and the number of people calling the elevator; when U is c When the value of (2) is smaller than 0.2, the elevator utilization rate is considered to be lower, when the value is 0.2-0.7, the elevator utilization rate is considered to be acceptable, and when the value is larger than 0.7, the elevator utilization rate is considered to be higher;
then, the elevator time T will be waited wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c Normalization and fuzzification are carried out, and the fuzzification result is divided into S, M, B grades;
according to waiting time T of elevator wait Number of remaining car capacity Q m Elevator utilization U c Fuzzy reasoning to obtain S wait ；
According to the elevator running time T run Number of remaining car capacity Q m Fuzzy reasoning to obtain S take ；
According to the number Q of the residual capacity of the lift car m Elevator utilization U c Fuzzy reasoning to obtain S long-wait ；
According to waiting time T of elevator wait Degree of centralization R of elevator calling g Elevator utilization U c Fuzzy reasoning to obtain S crowd ；
According to the elevator calling concentration degree R g Elevator utilization U c Fuzzy reasoning to obtain S energy ；
And dividing the membership into five grades VS, S, M, B, VB, calculating the evaluation functions of all elevators according to the execution modes of all elevators, comparing the evaluation functions corresponding to different elevators, and selecting the elevator number of the current optimal elevator.
According to the scheme, the elevator life calculation cycle module is used for receiving virtual operation data, correcting the effective life of each component of the elevator and feeding back the elevator performance, the operation condition and the effective residual elevator life to the user side in real time.
According to the scheme, the elevator control parameter database is used for receiving data generated by the data processing module and call reservation data of a user, taking instructions received in an elevator operation process and the generated operation data as historical operation data, and dynamically adjusting optimal control parameters according to the service life stage and working condition environment of the elevator.
An intelligent dispatching method of the elevator based on the digital twin technology, which is realized by the intelligent dispatching system of the elevator based on the digital twin technology, comprises the following steps,
s1, building a digital twin virtual model matched with an actual elevator;
s2, a user logs in through a mobile phone APP;
s3, the user gives an elevator reservation instruction;
s4, generating virtual operation data according to the elevator reservation instruction by utilizing the digital twin virtual model;
s5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator;
s5, performing ladder dispatching scheduling control according to the control signal.
The beneficial effects of the invention are as follows:
1. through adopting the mode that mobile phone APP end realized the reservation calling ladder for the comfort level that the user took the ladder obtains improving.
2. Manufacturers and operation and maintenance parties can monitor the real-time and historical running states of the elevator more timely and accurately through the mobile phone APP, and can interact with users under emergency through the APP, so that the safety guarantee of the elevator is improved.
3. By constructing and establishing the digital twin virtual model, real-time deduction of the operation of the physical elevator is realized, the elevator dispatching scheme is guided according to the operation data of the digital twin virtual model, the operation condition of the elevator is predicted, and the dispatching efficiency and the safety performance are improved.
Drawings
FIG. 1 is a schematic diagram of a system connection relationship according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a digital twin model according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present disclosure. It will be apparent that the described embodiments are some, but not all, of the embodiments of the present disclosure. All other embodiments, which can be made by one of ordinary skill in the art without the need for inventive faculty, are within the scope of the present disclosure, based on the described embodiments of the present disclosure.
An intelligent elevator dispatching system based on a digital twin technology comprises a mobile phone APP reservation calling ladder system, a calling car personnel dynamic acquisition subsystem, a data twin intelligent dispatching subsystem and a digital twin visualization subsystem;
the mobile phone APP reservation calling ladder system comprises a login module, a personal information module, an elevator information module and a work order information module, wherein the subsystem is used for a user to log in, inquire personal information, inquire elevator information and send elevator reservation and calling instructions;
the dynamic collecting subsystem of the calling elevator car personnel comprises a real-time response collecting module, a control parameter driving module and an output braking module; the real-time response acquisition module and the control parameter driving module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and the output braking module performs elevator starting and braking according to the instruction sent by the control parameter driving module;
the data twin intelligent scheduling subsystem comprises a digital twin virtual model module, a virtual elevator braking calculation module, an elevator life calculation period module, an elevator control parameter database and a data processing module; the digital twin virtual model module is used for establishing a digital twin virtual model according to instructions sent by a user and actual operation data of the elevator, the virtual elevator brake calculation module outputs virtual operation data according to simulation operation results of the digital twin virtual model, and the data processing module performs data processing according to the actual operation data and the virtual operation data, generates control signals and sends the control signals to the control parameter driving module;
the data twinning visualization subsystem comprises an output data visualization module, and the data visualization module performs visualization processing according to a control signal generated by the data processing module and sends a visualization result to the user side.
Further, registering personal information, retrieving passwords, logging in passwords and verifying and logging in short messages are carried out; the personal information module is used for carrying out password modification, information feedback and elevator taking information recording; the elevator information module is used for carrying out real-time monitoring on elevator basic information, elevator maintenance data, elevator positions, elevator monitoring images and elevator dynamic data and controlling the elevator, wherein the elevator basic information, the elevator maintenance data and the elevator position information allow a user to directly read, and the checking of the elevator dynamic data and the elevator monitoring images and the controlling of the elevator only allow authorized users to execute; the work order information module is used for executing elevator reservation and calling for help of the user.
Further, the data processing module performs the specific process of data processing,
the elevator traffic types are divided into an up peak, a down peak, an idle mode and two-way traffic according to the passenger carrying condition of the elevator, and the elevator traffic types respectively correspond to elevator carrying conditions that most passengers travel from one floor to other floors, most passengers descend from high floors to one floor, the number of passengers carrying the elevator is smaller than a set threshold value within a certain time, and passengers frequently travel between two floors;
setting the weight coefficients corresponding to the four modes,
wherein W is 1 For average waiting time weight coefficient, W 2 For average riding time weight coefficient, W 3 Is a long-time waiting rate weight coefficient, W 4 Is the weight coefficient of the degree of congestion of the elevator, W 5 The energy consumption weight coefficient of the system;
an evaluation function is established according to the weight coefficient,
S(i)＝W 1 S wait +W 2 S take +W 3 S long-wait +W 4 S crowd +W 5 S energy
wherein i is the elevator number, S wait For average waiting time membership degree S take For average riding time membership degree S long-wait Is the membership degree of long-time waiting rate, S crowd Is the membership degree of the elevator congestion degree, S energy Membership degree for system energy consumption; the smaller each membership is, the better the performance corresponding to the membership is, and the smaller the value of the evaluation function S (i) is, the better the overall performance of the elevator system is;
calculating waiting time T of elevator wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c ；
In which the elevator time T is waited for wait The calculation is carried out as follows,
T wait ＝T floor ×N 1 +T stop ×N 2
setting T wait When the value of (2) is less than 20s, the psychological state of the passenger is the best, when the value is 20-60 s, the psychological state of the passenger is acceptable, and when the value is more than 60s, the psychological state of the passenger is annoyance;
elevator run time T run The calculation is carried out as follows,
T run ＝MAX(T irun )
T irun for the aggregate set of response times corresponding to all call signals sent to the ith elevator, when T run If the value of (2) is less than 40s, the waiting time is considered to be ideal, if the value is 40-70 s, the waiting time is considered to be acceptable, and if the value is more than 80s, the waiting time is considered to be long;
number of remaining capacity of car Q m The calculation is carried out as follows,
Q m ＝Q in -Q out +Q now
wherein Q is in For the number of elevator people at the current moment, Q out For the elevator people number reduction at the current moment, Q now The number of people in the car before the elevator stops; the number of people Q is the number of people with the residual capacity of the lift car m Dividing the maximum number of the accommodated persons by the number of the elevator cars to obtain the percentage of the residual capacity of the elevator cars, wherein when the percentage of the residual capacity of the elevator cars is more than 70%, the riding comfort level is considered to be very satisfactory, when the percentage of the residual capacity of the elevator cars is 30% -70%, the riding comfort level is considered to be acceptable, and when the percentage of the residual capacity of the elevator cars is less than 30%, the riding comfort level is considered to be very poor;
degree of centralization R of elevator calling g The calculation process is as follows,
wherein H is the distance between the current floor of the elevator and the calling floor, L min Is the minimum distance between the newly generated call landing and the possible stop landing of the car; when the elevator calls the centralized degree R g If the value of (2) is smaller than 0.2, the energy consumption of the elevator is considered to be ideal, and if the value is 0.2-0.8, the energy consumption of the elevator is considered to be acceptable, and if the value is larger than 0.8, the energy consumption of the elevator is considered to be higher;
elevator utilization ratio U c The calculation process of (a) is as follows,
wherein K is the floor number of the elevator, J is the stopping times, L i The product of the number of floors of the calling floor and the number of people calling the elevator; when U is c When the value of (2) is smaller than 0.2, the elevator utilization rate is considered to be lower, when the value is 0.2-0.7, the elevator utilization rate is considered to be acceptable, and when the value is larger than 0.7, the elevator utilization rate is considered to be higher;
then, the elevator time T will be waited wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c Normalization and fuzzification are carried out, and the fuzzification result is divided into S, M, B grades;
according to waiting time T of elevator wait Number of remaining car capacity Q m Elevator utilization U c Fuzzy reasoning to obtain S wait ；
According to the elevator running time T run Number of remaining car capacity Q m Fuzzy reasoning to obtain S take ；
According to the number Q of the residual capacity of the lift car m Elevator utilization U c Fuzzy reasoning to obtain S long-wait ；
According to waiting time T of elevator wait Degree of centralization R of elevator calling g Elevator utilization U c Fuzzy reasoning to obtain S crowd ；
According to the elevator calling concentration degree R g Elevator utilization U c Fuzzy reasoning to obtain S energy ；
And dividing the membership into five grades VS, S, M, B, VB, calculating the evaluation functions of all elevators according to the execution modes of all elevators, comparing the evaluation functions corresponding to different elevators, and selecting the elevator number of the current optimal elevator.
Further, the elevator life calculation cycle module is used for receiving virtual operation data, correcting the effective life of each component of the elevator, and feeding back the elevator performance, the operation condition and the effective residual elevator life to the user side in real time.
Further, the elevator control parameter database is used for receiving data generated by the data processing module and call reservation data of a user, taking instructions received in an elevator operation process and the generated operation data as historical operation data, and dynamically adjusting optimal control parameters according to the life stage and working condition environment of the elevator.
An intelligent dispatching method of the elevator based on the digital twin technology, which is realized by the intelligent dispatching system of the elevator based on the digital twin technology, comprises the following steps,
s1, building a digital twin virtual model matched with an actual elevator;
s2, a user logs in through a mobile phone APP;
s3, the user gives an elevator reservation instruction;
s4, generating virtual operation data according to the elevator reservation instruction by utilizing the digital twin virtual model;
s5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator;
s5, performing ladder dispatching scheduling control according to the control signal.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (6)
1. An intelligent elevator dispatching system based on a digital twin technology is characterized in that: the system comprises a mobile phone APP reservation calling ladder system, a calling car personnel dynamic acquisition subsystem, a data twin intelligent scheduling subsystem and a digital twin visualization subsystem;
the mobile phone APP reservation calling ladder system comprises a login module, a personal information module, an elevator information module and a work order information module, wherein the subsystem is used for a user to log in, inquire personal information, inquire elevator information and send elevator reservation and calling instructions;
the dynamic collecting subsystem of the calling elevator car personnel comprises a real-time response collecting module, a control parameter driving module and an output braking module; the real-time response acquisition module and the control parameter driving module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and the output braking module performs elevator starting and braking according to the instruction sent by the control parameter driving module;
the data twin intelligent scheduling subsystem comprises a digital twin virtual model module, a virtual elevator braking calculation module, an elevator life calculation period module, an elevator control parameter database and a data processing module; the digital twin virtual model module is used for establishing a digital twin virtual model according to instructions sent by a user and actual operation data of the elevator, the virtual elevator brake calculation module outputs virtual operation data according to simulation operation results of the digital twin virtual model, and the data processing module performs data processing according to the actual operation data and the virtual operation data, generates control signals and sends the control signals to the control parameter driving module;
the data twinning visualization subsystem comprises an output data visualization module, and the data visualization module performs visualization processing according to a control signal generated by the data processing module and sends a visualization result to the user side.
2. The intelligent elevator dispatching system based on digital twin technology of claim 1, wherein: the login module is used for registering personal information, retrieving passwords, logging in passwords and verifying and logging in short messages; the personal information module is used for carrying out password modification, information feedback and elevator taking information recording; the elevator information module is used for carrying out real-time monitoring on elevator basic information, elevator maintenance data, elevator positions, elevator monitoring images and elevator dynamic data and controlling the elevator, wherein the elevator basic information, the elevator maintenance data and the elevator position information allow a user to directly read, and the checking of the elevator dynamic data and the elevator monitoring images and the controlling of the elevator only allow authorized users to execute; the work order information module is used for executing elevator reservation and calling for help of the user.
3. The intelligent elevator dispatching system based on digital twin technology of claim 1, wherein: the specific process of the data processing module for data processing is that,
the elevator traffic types are divided into an up peak, a down peak, an idle mode and two-way traffic according to the passenger carrying condition of the elevator, and the elevator traffic types respectively correspond to elevator carrying conditions that most passengers travel from one floor to other floors, most passengers descend from high floors to one floor, the number of passengers carrying the elevator is smaller than a set threshold value within a certain time, and passengers frequently travel between two floors;
setting the weight coefficients corresponding to the four modes,
wherein W is 1 For average waiting time weight coefficient, W 2 For average riding time weight coefficient, W 3 Is a long-time waiting rate weight coefficient, W 4 Is the weight coefficient of the degree of congestion of the elevator, W 5 The energy consumption weight coefficient of the system;
an evaluation function is established according to the weight coefficient,
S(i)＝W 1 S wait +W 2 S take +W 3 S long-wait +W 4 S crowd +W 5 S energy
wherein i is the elevator number, S wait For average waiting time membership degree S take For average riding time membership degree S long-wait Is the membership degree of long-time waiting rate, S crowd Is the membership degree of the elevator congestion degree, S energy Membership degree for system energy consumption; the smaller each membership is, the better the performance corresponding to the membership is, and the smaller the value of the evaluation function S (i) is, the better the overall performance of the elevator system is;
calculating waiting time T of elevator wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c ；
In which the elevator time T is waited for wait The calculation is carried out as follows,
T wait ＝T floor ×N 1 +T stop ×N 2
setting T wait When the value of (2) is less than 20s, the psychological state of the passenger is the best, when the value is 20-60 s, the psychological state of the passenger is acceptable, and when the value is more than 60s, the psychological state of the passenger is annoyance;
elevator run time T run The calculation is carried out as follows,
T run ＝MAX(T irun )
T irun for the aggregate set of response times corresponding to all call signals sent to the ith elevator, when T run If the value of (2) is less than 40s, the waiting time is considered to be ideal, if the value is 40-70 s, the waiting time is considered to be acceptable, and if the value is more than 80s, the waiting time is considered to be long;
number of remaining capacity of car Q m The calculation is carried out as follows,
Q m ＝Q in -Q out +Q now
wherein Q is in For the number of elevator people at the current moment, Q out For the elevator people number reduction at the current moment, Q now The number of people in the car before the elevator stops; the number of people W is the residual capacity of the lift car m Dividing the maximum number of the accommodated persons by the number of the elevator cars to obtain the percentage of the residual capacity of the elevator cars, wherein when the percentage of the residual capacity of the elevator cars is more than 70%, the riding comfort level is considered to be very satisfactory, when the percentage of the residual capacity of the elevator cars is 30% -70%, the riding comfort level is considered to be acceptable, and when the percentage of the residual capacity of the elevator cars is less than 30%, the riding comfort level is considered to be very poor;
degree of centralization R of elevator calling g The calculation process is as follows,
wherein H is the distance between the current floor of the elevator and the calling floor, L min Is newly generatedThe minimum distance between the call landing and the possible landing at which the car is stopped; when the elevator calls the centralized degree R g If the value of (2) is smaller than 0.2, the energy consumption of the elevator is considered to be ideal, and if the value is 0.2-0.8, the energy consumption of the elevator is considered to be acceptable, and if the value is larger than 0.8, the energy consumption of the elevator is considered to be higher;
elevator utilization ratio U c The calculation process of (a) is as follows,
wherein K is the floor number of the elevator, J is the stopping times, L i The product of the number of floors of the calling floor and the number of people calling the elevator; when U is c When the value of (2) is smaller than 0.2, the elevator utilization rate is considered to be lower, when the value is 0.2-0.7, the elevator utilization rate is considered to be acceptable, and when the value is larger than 0.7, the elevator utilization rate is considered to be higher;
then, the elevator time T will be waited wait Elevator run time T run Number of remaining car capacity Q m Degree of centralization R of elevator calling g Elevator utilization U c Normalization and fuzzification are carried out, and the fuzzification result is divided into S, M, B grades;
according to waiting time T of elevator wait Number of remaining car capacity Q m Elevator utilization U c Fuzzy reasoning to obtain S wait ；
According to the elevator running time T run Number of remaining car capacity Q m Fuzzy reasoning to obtain S take ；
According to the number Q of the residual capacity of the lift car m Elevator utilization U c Fuzzy reasoning to obtain S long-wai ；
According to waiting time T of elevator wait Degree of centralization R of elevator calling g Elevator utilization U c Fuzzy reasoning to obtain S crowd ；
According to the elevator calling concentration degree R g Elevator utilization U c Fuzzy reasoning to obtain S energy ；
And dividing the membership into five grades VS, S, M, B, VB, calculating the evaluation functions of all elevators according to the execution modes of all elevators, comparing the evaluation functions corresponding to different elevators, and selecting the elevator number of the current optimal elevator.
4. The intelligent elevator dispatching system based on digital twin technology of claim 1, wherein: the elevator life calculation cycle module is used for receiving virtual operation data, correcting the effective life of each component of the elevator, and feeding back the elevator performance, the operation condition and the effective residual elevator life to the user side in real time.
5. The intelligent elevator dispatching system based on digital twin technology of claim 1, wherein: the elevator control parameter database is used for receiving data generated by the data processing module and call reservation data of a user, taking instructions received in the elevator operation process and the generated operation data as historical operation data, and dynamically adjusting optimal control parameters according to the service life stage and working condition environment of the elevator.
6. An intelligent dispatching method of an elevator based on a digital twin technology, which is realized by using the intelligent dispatching system of an elevator based on the digital twin technology as set forth in any one of claims 1 to 5, is characterized in that: comprises the steps of,
s1, building a digital twin virtual model matched with an actual elevator;
s2, a user logs in through a mobile phone APP;
s3, the user gives an elevator reservation instruction;
s4, generating virtual operation data according to the elevator reservation instruction by utilizing the digital twin virtual model;
s5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator;
s5, performing ladder dispatching scheduling control according to the control signal.
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| JP2006117411A (en) * | 2004-10-22 | 2006-05-11 | Toshiba Elevator Co Ltd | Elevator group management control device |
| JP2007015788A (en) * | 2005-07-05 | 2007-01-25 | Toshiba Corp | Elevator group supervisory operation system, and elevator group supervisory operation method |
| JP2007269424A (en) * | 2006-03-30 | 2007-10-18 | Toshiba Corp | Elevator group management system, method and program |
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