CN114834982B - Intelligent elevator dispatching system based on digital twin technology - Google Patents

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

Elevator intelligent dispatching system based on digital twin technology

technical field

The invention relates to the technical field of intelligent elevator reservation, in particular to an elevator intelligent dispatching system based on digital twin technology.

Background technique

During the peak period, there is a large flow of people going up and down the stairs, and there are many people waiting for the elevator to take the elevator, and the average waiting time for the elevator doubles. According to the survey, the average waiting time of people waiting for elevators during peak hours is more than 15 minutes, resulting in a waste of time, and there are too many people taking elevators, which may easily cause elevator overload and reduce the life of elevators.

Digital twin technology establishes multiple dimensions of physical entities through digital means, including physical dimensions, virtual space dimensions, service dimensions, data dimensions, and connection dimensions. It uses multi-spatial-scale, multi-disciplinary, multi-physical, and multi-probability digital entities to simulate and Describe the attributes, behaviors and rules of physical entities in the real environment. Since digital twins can solve the problem of intelligent manufacturing information-physical integration, it has been successfully implemented in many industrial fields.

Contents of the invention

The purpose of the present invention is to provide an elevator intelligent dispatching system based on digital twin technology to solve the problem of low efficiency of the current elevator dispatching system.

In order to solve the above-mentioned technical problems, the present invention provides a technical solution: an elevator intelligent dispatching system based on digital twin technology, the system includes a mobile phone APP reservation call elevator system, a dynamic collection subsystem for elevator car personnel, and a data twin Intelligent scheduling subsystem and digital twin visualization subsystem;

Among them, the mobile APP elevator call reservation system includes a login module, a personal information module, an elevator information module and a work order information module. This subsystem is used for users to log in, personal information query, elevator information query, and send elevator reservation and help instructions;

The dynamic acquisition subsystem of call car personnel includes a real-time response acquisition module, a control parameter drive module, and an output brake module; the real-time response acquisition module and the control parameter drive module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and output The brake module starts and brakes the elevator according to the instructions sent by the control parameter drive module;

The data twin intelligent scheduling subsystem includes a digital twin virtual model module, a virtual elevator brake calculation module, an elevator life calculation cycle module, an elevator control parameter database, and a data processing module; the digital twin virtual model module is used to The digital twin virtual model is established from the running data, and the virtual elevator braking calculation module outputs virtual running data according to the simulation running results of the digital twin virtual model. The data processing module performs data processing according to the actual running data and the virtual running data, generates control signals and sends them to the control parameter drive module;

The data twin visualization subsystem includes an output data visualization module, which performs visualization processing according to the control signal generated by the data processing module, and sends the visualization results to the client.

According to the above scheme, personal information registration, password retrieval, password login, and SMS verification login are performed; the personal information module is used for password modification, information feedback, and elevator information recording; the elevator information module is used for elevator basic information and elevator maintenance data , elevator position, elevator monitoring image, real-time monitoring of elevator dynamic data and elevator control, among which elevator basic information, elevator maintenance data, and elevator position information allow users to directly read, elevator dynamic data, elevator monitoring image viewing and elevator control Only authorized users are allowed to execute; the work order information module is used to execute the user's elevator reservation and call for help.

According to the above scheme, the specific process of data processing by the data processing module is as follows:

According to the passenger capacity of the elevator, the traffic types of the elevator are divided into up peak, down peak, idle mode, and second-way traffic, corresponding to most passengers going from the first floor to other floors, most passengers descending from high floors to the first floor, and a certain period of time. The number of passengers in the elevator is less than the set threshold and the passengers frequently travel between two floors;

Set the weight coefficients corresponding to the above four modes,

Among them, W ₁ is the weight coefficient of average waiting time, W ₂ is the weight coefficient of average ride time, W ₃ is the weight coefficient of long waiting time, W ₄ is the weight coefficient of elevator congestion degree, W ₅ is the weight coefficient of system energy consumption ;

The evaluation function is established according to the above weight coefficients,

S(i)＝W ₁ S _wait +W ₂ S _take +W ₃ S _long-wait +W ₄ S _crowd +W ₅ S _energy

Among them, i is the elevator number, S _wait is the membership degree of the average waiting time, S _take is the membership degree of the average taking time, S _long-wait is the membership degree of the long waiting rate, S _crowd is the membership degree of elevator congestion, S _energy is the membership degree of system energy consumption; the smaller the membership degree, the better the performance corresponding to the membership degree, and the smaller the value of the evaluation function S(i), the better the overall performance of the elevator system;

Calculate the waiting time T _wait , the elevator running time T _run , the number of people in the remaining capacity of the car Q _m , the degree of concentration of elevator calls R _g , and the elevator utilization rate U _c ;

The waiting time T _wait for the elevator is calculated as follows,

T _wait =T _floor ×N ₁ +T _stop ×N ₂

When the value of T _wait is set to be less than 20s, the passenger’s psychological state is the best, when the value is between 20 and 60s, the passenger’s psychological state is acceptable, and when the value is greater than 60s, the passenger’s psychological state is irritable;

The elevator running time T _run is calculated as follows,

T _run = MAX(T _irun )

T _irun is the collection of response times corresponding to all call signals sent to the i-th elevator. When the value of T _run is less than 40s, it is considered as an ideal waiting time, and when the value of T run is 40-70s, it is considered as an acceptable waiting time. When the value is greater than 80s, it is considered as a long waiting time;

The number of people Q _m in the remaining capacity of the car is calculated as follows,

Q _m ＝Q _in -Q _out +Q _now

Among them, Q _in is the increase in the number of people in the elevator at the current moment, Q _out is the decrease in the number of people in the elevator at the current moment, and Q _now is the number of people in the car before the elevator stops; the number of people in the car's remaining capacity Q _m is divided by the maximum number of people in the car to get The percentage of remaining capacity of the car. When the percentage of remaining capacity of the car is greater than 70%, it is considered that the ride comfort is very satisfactory. When the percentage of the remaining capacity of the car is 30% to 70%, it is considered acceptable. When the percentage of remaining capacity of the car is less than 30%, the ride comfort is considered to be very poor;

The calculation process of the elevator call concentration degree _Rg is as follows,

Among them, H is the distance between the current floor of the elevator and the call floor, and L _min is the minimum distance between the newly generated call floor and the possible landing of the car; when the value of the elevator call concentration R _g is less than 0.2 is , it is considered that the energy consumption of the elevator is ideal. When the value is 0.2-0.8, it is considered that the energy consumption of the elevator is acceptable. When the value is greater than 0.8, the energy consumption of the elevator is considered to be high;

The calculation process of the elevator utilization rate _Uc is as follows,

Among them, K is the number of floors where the elevator is located, J is the number of stops, L _i is the product of the number of floors of the calling floor and the number of people calling; when the value of _Uc is less than 0.2, the elevator utilization rate is considered to be low, when the value is When the value is between 0.2 and 0.7, the elevator utilization rate is considered to be acceptable; when the value is greater than 0.7, the elevator utilization rate is considered to be high;

Then, normalize and fuzzify the elevator waiting time T _wait , elevator running time T _run , number of people in the remaining car capacity Q _m , elevator call concentration R _g , and elevator utilization rate U _c , and the fuzzy results are divided into S , M, B three grades;

According to the waiting time T _wait for the elevator, the number of people in the remaining capacity of the car Q _m , and the elevator utilization rate U _c fuzzy reasoning to obtain S _wait ;

S _take is obtained by fuzzy reasoning according to the elevator running time T _run and the number of people in the remaining capacity of the car Q _m ;

S _long-wait is obtained by fuzzy reasoning according to the number of people Q _m remaining in the car and the utilization rate U _c of the elevator;

_Scrowd is obtained by fuzzy reasoning based on the waiting time T _wait , the concentration degree of elevator calls R _g , and the elevator utilization rate U _c ;

S _energy is obtained by fuzzy reasoning according to the elevator call concentration degree R _g and the elevator utilization rate U _c ;

Divide the above membership degrees into five levels: VS, S, M, B, and VB, calculate the evaluation function of each elevator according to the execution modes of all elevators, compare the evaluation functions corresponding to different elevators, and select the elevator that is currently the best dispatcher serial number.

According to the above scheme, the elevator life calculation cycle module is used to receive virtual operation data, correct the effective life of each component of the elevator, and feed back the elevator performance, operating status and effective remaining elevator life to the user in real time.

According to the above scheme, the elevator control parameter database is used to receive the data generated by the data processing module and the user’s reservation call data, and use the instructions received during the elevator operation and the generated operation data as historical operation data, and according to the life stage of the elevator and The working environment dynamically adjusts the optimal control parameters.

An elevator intelligent dispatching method based on digital twin technology realized by utilizing the above-mentioned elevator intelligent dispatch system based on digital twin technology, comprising the following steps,

S1. Build a digital twin virtual model that matches the actual elevator;

S2. The user logs in through the mobile APP;

S3. The user issues an elevator reservation instruction;

S4. Use the digital twin virtual model to generate virtual operation data according to the elevator reservation instruction;

S5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator;

S5. Elevator dispatching control is performed according to the control signal.

The beneficial effects of the present invention are:

1. By using the mobile phone APP to realize the method of booking elevators, the comfort of users when taking elevators is improved.

2. The manufacturer and the operation and maintenance party can monitor the real-time and historical operation status of the elevator more timely and accurately through the mobile phone APP, and can interact with the user in an emergency through the APP, which improves the safety of the elevator.

3. Through the establishment of a digital twin virtual model, the real-time deduction of the operation of the physical elevator is realized. According to the operation data of the digital twin virtual model, the dispatch plan is guided, and the operation of the elevator is predicted, which improves the dispatching efficiency and safety. performance.

Description of 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 ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present disclosure. Apparently, the described embodiments are some of the embodiments of the present disclosure, not all of them. Based on the described embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative effort fall within the protection scope of the present disclosure.

An elevator intelligent dispatching system based on digital twin technology, the system includes a mobile phone APP reservation call elevator system, a dynamic acquisition subsystem for elevator car personnel, a data twin intelligent dispatch subsystem, and a digital twin visualization subsystem;

Among them, the mobile APP elevator call reservation system includes a login module, a personal information module, an elevator information module and a work order information module. This subsystem is used for users to log in, personal information query, elevator information query, and send elevator reservation and help instructions;

The dynamic acquisition subsystem of call car personnel includes a real-time response acquisition module, a control parameter drive module, and an output brake module; the real-time response acquisition module and the control parameter drive module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and output The brake module starts and brakes the elevator according to the instructions sent by the control parameter drive module;

The data twin intelligent scheduling subsystem includes a digital twin virtual model module, a virtual elevator brake calculation module, an elevator life calculation cycle module, an elevator control parameter database, and a data processing module; the digital twin virtual model module is used to The digital twin virtual model is established from the running data, and the virtual elevator braking calculation module outputs virtual running data according to the simulation running results of the digital twin virtual model. The data processing module performs data processing according to the actual running data and the virtual running data, generates control signals and sends them to the control parameter drive module;

The data twin visualization subsystem includes an output data visualization module, which performs visualization processing according to the control signal generated by the data processing module, and sends the visualization results to the client.

Further, personal information registration, password retrieval, password login, and SMS verification login are performed; the personal information module is used for password modification, information feedback, and elevator information recording; the elevator information module is used for elevator basic information, elevator maintenance data, Elevator position, elevator monitoring image, real-time monitoring of elevator dynamic data and elevator control, among which elevator basic information, elevator maintenance data, and elevator position information allow users to directly read, elevator dynamic data, elevator monitoring image viewing and elevator control only Authorized users are allowed to execute; the work order information module is used to execute the user's elevator reservation and call for help.

Further, the specific process of data processing by the data processing module is as follows:

According to the passenger capacity of the elevator, the traffic types of the elevator are divided into up peak, down peak, idle mode, and second-way traffic, corresponding to most passengers going from the first floor to other floors, most passengers descending from high floors to the first floor, and a certain period of time. The number of passengers in the elevator is less than the set threshold and the passengers frequently travel between two floors;

Set the weight coefficients corresponding to the above four modes,

Among them, W ₁ is the weight coefficient of average waiting time, W ₂ is the weight coefficient of average ride time, W ₃ is the weight coefficient of long waiting time, W ₄ is the weight coefficient of elevator congestion degree, W ₅ is the weight coefficient of system energy consumption ;

The evaluation function is established according to the above weight coefficients,

S(i)＝W ₁ S _wait +W ₂ S _take +W ₃ S _long-wait +W ₄ S _crowd +W ₅ S _energy

Among them, i is the elevator number, S _wait is the membership degree of the average waiting time, S _take is the membership degree of the average taking time, S _long-wait is the membership degree of the long waiting rate, S _crowd is the membership degree of elevator congestion, S _energy is the membership degree of system energy consumption; the smaller the membership degree, the better the performance corresponding to the membership degree, and the smaller the value of the evaluation function S(i), the better the overall performance of the elevator system;

Calculate the waiting time T _wait , the elevator running time T _run , the number of people in the remaining capacity of the car Q _m , the degree of concentration of elevator calls R _g , and the elevator utilization rate U _c ;

The waiting time T _wait for the elevator is calculated as follows,

T _wait =T _floor ×N ₁ +T _stop ×N ₂

When the value of T _wait is set to be less than 20s, the passenger’s psychological state is the best, when the value is between 20 and 60s, the passenger’s psychological state is acceptable, and when the value is greater than 60s, the passenger’s psychological state is irritable;

The elevator running time T _run is calculated as follows,

T _run = MAX(T _irun )

T _irun is the collection of response times corresponding to all call signals sent to the i-th elevator. When the value of T _run is less than 40s, it is considered as an ideal waiting time, and when the value of T run is 40-70s, it is considered as an acceptable waiting time. When the value is greater than 80s, it is considered as a long waiting time;

The number of people Q _m in the remaining capacity of the car is calculated as follows,

Q _m ＝Q _in -Q _out +Q _now

Among them, Q _in is the increase in the number of people in the elevator at the current moment, Q _out is the decrease in the number of people in the elevator at the current moment, and Q _now is the number of people in the car before the elevator stops; the number of people in the car's remaining capacity Q _m is divided by the maximum number of people in the car to get The percentage of remaining capacity of the car. When the percentage of remaining capacity of the car is greater than 70%, it is considered that the ride comfort is very satisfactory. When the percentage of the remaining capacity of the car is 30% to 70%, it is considered acceptable. When the percentage of remaining capacity of the car is less than 30%, the ride comfort is considered to be very poor;

The calculation process of the elevator call concentration degree _Rg is as follows,

Among them, H is the distance between the current floor of the elevator and the call floor, and L _min is the minimum distance between the newly generated call floor and the possible landing of the car; when the value of the elevator call concentration R _g is less than 0.2 is , it is considered that the energy consumption of the elevator is ideal. When the value is 0.2-0.8, it is considered that the energy consumption of the elevator is acceptable. When the value is greater than 0.8, the energy consumption of the elevator is considered to be high;

The calculation process of the elevator utilization rate _Uc is as follows,

Among them, K is the number of floors where the elevator is located, J is the number of stops, L _i is the product of the number of floors of the calling floor and the number of people calling; when the value of _Uc is less than 0.2, the elevator utilization rate is considered to be low, when the value is When the value is between 0.2 and 0.7, the elevator utilization rate is considered to be acceptable; when the value is greater than 0.7, the elevator utilization rate is considered to be high;

Then, normalize and fuzzify the elevator waiting time T _wait , elevator running time T _run , number of people in the remaining car capacity Q _m , elevator call concentration R _g , and elevator utilization rate U _c , and the fuzzy results are divided into S , M, B three grades;

According to the waiting time T _wait for the elevator, the number of people in the remaining capacity of the car Q _m , and the elevator utilization rate U _c fuzzy reasoning to obtain S _wait ;

S _take is obtained by fuzzy reasoning according to the elevator running time T _run and the number of people in the remaining capacity of the car Q _m ;

S _long-wait is obtained by fuzzy reasoning according to the number of people Q _m remaining in the car and the utilization rate U _c of the elevator;

_Scrowd is obtained by fuzzy reasoning based on the waiting time T _wait , the concentration degree of elevator calls R _g , and the elevator utilization rate U _c ;

S _energy is obtained by fuzzy reasoning according to the elevator call concentration degree R _g and the elevator utilization rate U _c ;

Divide the above membership degrees into five levels: VS, S, M, B, and VB, calculate the evaluation function of each elevator according to the execution modes of all elevators, compare the evaluation functions corresponding to different elevators, and select the elevator that is currently the best dispatcher serial number.

Furthermore, the elevator life calculation cycle module is used to receive virtual running data, correct the effective life of each component of the elevator, and feed back the elevator performance, operating status and effective remaining elevator life to the user in real time.

Further, the elevator control parameter database is used to receive the data generated by the data processing module and the user’s reservation call data, and use the instructions received during the elevator operation and the generated operation data as historical operation data, and according to the life stage and working period of the elevator The optimal control parameters are dynamically adjusted according to the environment.

An elevator intelligent dispatching method based on digital twin technology realized by utilizing the above-mentioned elevator intelligent dispatch system based on digital twin technology, comprising the following steps,

S1. Build a digital twin virtual model that matches the actual elevator;

S2. The user logs in through the mobile APP;

S3. The user issues an elevator reservation instruction;

S4. Use the digital twin virtual model to generate virtual operation data according to the elevator reservation instruction;

S5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator;

S5. Elevator dispatching control is performed according to the control signal.

The above is only an embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technologies fields, are all included in the scope of patent protection of the present invention in the same way.

Claims (6)

1. An elevator intelligent dispatching system based on digital twin technology, characterized in that: the system includes a mobile APP reservation call elevator system, a dynamic acquisition subsystem for elevator car personnel, a data twin intelligent dispatch subsystem and a digital twin visualization subsystem system; Among them, the mobile APP elevator call reservation system includes a login module, a personal information module, an elevator information module and a work order information module. This subsystem is used for users to log in, personal information query, elevator information query, and send elevator reservation and help instructions; The dynamic acquisition subsystem of call car personnel includes a real-time response acquisition module, a control parameter drive module, and an output brake module; the real-time response acquisition module and the control parameter drive module are connected in parallel with the elevator bus, and perform data interaction with the cloud through the bus, and output The brake module starts and brakes the elevator according to the instructions sent by the control parameter drive module; The data twin intelligent scheduling subsystem includes a digital twin virtual model module, a virtual elevator brake calculation module, an elevator life calculation cycle module, an elevator control parameter database, and a data processing module; the digital twin virtual model module is used to The digital twin virtual model is established from the running data, and the virtual elevator braking calculation module outputs virtual running data according to the simulation running results of the digital twin virtual model. The data processing module performs data processing according to the actual running data and the virtual running data, generates control signals and sends them to the control parameter drive module; The data twin visualization subsystem includes an output data visualization module, which performs visualization processing according to the control signal generated by the data processing module, and sends the visualization results to the client. 2. The elevator intelligent dispatching system based on digital twin technology according to claim 1, characterized in that: the login module is used for personal information registration, retrieval password, password login, and SMS verification login; the personal information module is used for password Modification, information feedback, and elevator information recording; the elevator information module is used for elevator basic information, elevator maintenance data, elevator location, elevator monitoring images, real-time monitoring of elevator dynamic data and elevator control, among which elevator basic information, elevator maintenance data , Elevator location information allows users to directly read, elevator dynamic data, elevator monitoring image viewing, and elevator control are only allowed to be executed by authorized users; the work order information module is used to execute the user's elevator reservation and call for help. 3. The elevator intelligent dispatching system based on digital twin technology according to claim 1, characterized in that: the data processing module carries out the specific process of data processing as follows: According to the passenger capacity of the elevator, the traffic types of the elevator are divided into up peak, down peak, idle mode, and second-way traffic, corresponding to most passengers going from the first floor to other floors, most passengers descending from high floors to the first floor, and a certain period of time. The number of passengers in the elevator is less than the set threshold and the passengers frequently travel between two floors; Set the weight coefficients corresponding to the above four modes, Among them, W ₁ is the weight coefficient of average waiting time, W ₂ is the weight coefficient of average ride time, W ₃ is the weight coefficient of long waiting time, W ₄ is the weight coefficient of elevator congestion degree, W ₅ is the weight coefficient of system energy consumption ; The evaluation function is established according to the above weight coefficients, S(i)＝W ₁ S _wait +W ₂ S _take +W ₃ S _long-wait +W ₄ S _crowd +W ₅ S _energy Among them, i is the elevator number, S _wait is the membership degree of the average waiting time, S _take is the membership degree of the average taking time, S _long-wait is the membership degree of the long waiting rate, S _crowd is the membership degree of elevator congestion, S _energy is the membership degree of system energy consumption; the smaller the membership degree, the better the performance corresponding to the membership degree, and the smaller the value of the evaluation function S(i), the better the overall performance of the elevator system; Calculate the waiting time T _wait , the elevator running time T _run , the number of people in the remaining capacity of the car Q _m , the degree of concentration of elevator calls R _g , and the elevator utilization rate U _c ; The waiting time T _wait for the elevator is calculated as follows, T _wait =T _floor ×N ₁ +T _stop ×N ₂ When the value of T _wait is set to be less than 20s, the passenger’s psychological state is the best, when the value is between 20 and 60s, the passenger’s psychological state is acceptable, and when the value is greater than 60s, the passenger’s psychological state is irritable; The elevator running time T _run is calculated as follows, T _run = MAX(T _irun ) T _irun is the collection of response times corresponding to all call signals sent to the i-th elevator. When the value of T _run is less than 40s, it is considered as an ideal waiting time, and when the value of T run is 40-70s, it is considered as an acceptable waiting time. When the value is greater than 80s, it is considered as a long waiting time; The number of people Q _m in the remaining capacity of the car is calculated as follows, Q _m ＝Q _in -Q _out +Q _now Among them, Q _in is the increase in the number of people in the elevator at the current moment, Q _out is the decrease in the number of people in the elevator at the current moment, and Q _now is the number of people in the car before the elevator stops; the number of people in the car's remaining capacity W _m is divided by the maximum number of people in the car to get The percentage of remaining capacity of the car. When the percentage of remaining capacity of the car is greater than 70%, it is considered that the ride comfort is very satisfactory. When the percentage of the remaining capacity of the car is 30% to 70%, it is considered acceptable. When the percentage of remaining capacity of the car is less than 30%, the ride comfort is considered to be very poor; The calculation process of the elevator call concentration degree _Rg is as follows, Among them, H is the distance between the current floor of the elevator and the call floor, and L _min is the minimum distance between the newly generated call floor and the possible landing of the car; when the value of the elevator call concentration R _g is less than 0.2 is , it is considered that the energy consumption of the elevator is ideal. When the value is 0.2-0.8, it is considered that the energy consumption of the elevator is acceptable. When the value is greater than 0.8, the energy consumption of the elevator is considered to be high; The calculation process of the elevator utilization rate _Uc is as follows, Among them, K is the number of floors where the elevator is located, J is the number of stops, L _i is the product of the number of floors of the calling floor and the number of people calling; when the value of _Uc is less than 0.2, the elevator utilization rate is considered to be low, when the value is When the value is between 0.2 and 0.7, the elevator utilization rate is considered to be acceptable; when the value is greater than 0.7, the elevator utilization rate is considered to be high; Then, normalize and fuzzify the elevator waiting time T _wait , elevator running time T _run , number of people in the remaining car capacity Q _m , elevator call concentration R _g , and elevator utilization rate U _c , and the fuzzy results are divided into S , M, B three grades; According to the waiting time T _wait for the elevator, the number of people in the remaining capacity of the car Q _m , and the elevator utilization rate U _c fuzzy reasoning to obtain S _wait ; S _take is obtained by fuzzy reasoning according to the elevator running time T _run and the number of people in the remaining capacity of the car Q _m ; S _long-wai is obtained by fuzzy reasoning based on the number of people Q _m remaining in the car and the utilization rate U _c of the elevator; _Scrowd is obtained by fuzzy reasoning based on the waiting time T _wait , the concentration degree of elevator calls R _g , and the elevator utilization rate U _c ; S _energy is obtained by fuzzy reasoning according to the elevator call concentration degree R _g and the elevator utilization rate U _c ; Divide the above membership degrees into five levels: VS, S, M, B, and VB, calculate the evaluation function of each elevator according to the execution modes of all elevators, compare the evaluation functions corresponding to different elevators, and select the elevator that is currently the best dispatcher serial number. 4. The elevator intelligent dispatching system based on digital twin technology according to claim 1, characterized in that: the elevator life calculation cycle module is used to receive virtual operation data, correct the effective life of each component of the elevator, and send real-time information to the user Feedback elevator performance, operating status and effective remaining elevator life. 5. The elevator intelligent dispatching system based on digital twin technology according to claim 1, characterized in that: the elevator control parameter database is used to receive the data generated from the data processing module and the user reservation call data, and the elevator operation process received The command and the generated operation data are used as historical operation data, and the optimal control parameters are dynamically adjusted according to the life stage and working environment of the elevator. 6. An elevator intelligent dispatching method based on digital twin technology realized by utilizing the elevator intelligent dispatch system based on digital twin technology described in any one of claims 1-5, characterized in that: comprising the following steps, S1. Build a digital twin virtual model that matches the actual elevator; S2. The user logs in through the mobile APP; S3. The user issues an elevator reservation instruction; S4. Use the digital twin virtual model to generate virtual operation data according to the elevator reservation instruction; S5, forming a control signal according to the virtual operation data and the actual operation data of the actual operation of the elevator; S5. Elevator dispatching control is performed according to the control signal.