CN114834983B - Intelligent control method and system in elevator operation - Google Patents

Intelligent control method and system in elevator operation Download PDF

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Publication number
CN114834983B
CN114834983B CN202210776044.8A CN202210776044A CN114834983B CN 114834983 B CN114834983 B CN 114834983B CN 202210776044 A CN202210776044 A CN 202210776044A CN 114834983 B CN114834983 B CN 114834983B
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elevator
speed
current
maximum
target
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CN114834983A (en
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党晓飞
于泽群
李成桂
曹芹
王伟
郑龙申
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Kyleryooen Shandong Elevator Co ltd
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Kyleryooen Shandong Elevator Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00Control systems of elevators in general
    • B66B1/24Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/28Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
    • B66B1/285Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical with the use of a speed pattern generator
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00Control systems of elevators in general
    • B66B1/34Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
    • B66B1/3407Setting or modification of parameters of the control system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B2201/00Aspects of control systems of elevators
    • B66B2201/40Details of the change of control mode
    • B66B2201/403Details of the change of control mode by real-time traffic data
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B50/00Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies

Abstract

The invention relates to the technical field of control and regulation, in particular to an intelligent control method and system in elevator operation. The method comprises the following steps: firstly, acquiring the number of passengers, the load and a target floor sequence of the current elevator; obtaining the distribution concentration of the current target floor according to the target floor sequence; obtaining a speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers and the distribution concentration ratio; obtaining the maximum target speed which can be reached by the current elevator according to the speed coordination coefficient; and obtaining the optimal speed to be reached in the process of the current elevator running to the next target floor according to the maximum target speed and the firefly algorithm. The invention realizes that the service life of the elevator is prolonged while the operation efficiency of the elevator is ensured.

Description

Intelligent control method and system in elevator operation
Technical Field
The invention relates to the technical field of control and regulation, in particular to an intelligent control method and system in elevator operation.
Background
Modern commercial office buildings are equipped with a plurality of passenger elevators, which are vertical elevators. The existing elevators operate after passengers press an elevator taking button, and only know the riding direction of the passengers and do not know the number of floors to be reached before the passengers enter the elevators; when the elevator operates normally, the elevator is continuously started and stopped in a short time due to the diversification of floors selected by passengers, so that the operation speed of the elevator cannot be improved all the time, and the operation efficiency of the elevator is influenced; meanwhile, if the speed of the elevator is too high, the emergency brake of the elevator can be caused, so that the brake of the elevator can be abraded, and the service life of the elevator is shortened; therefore, it is very important to improve the service life of the elevator while ensuring the operation efficiency of the elevator.
Disclosure of Invention
In order to solve the problem of how to prolong the service life of an elevator in the prior art, the invention aims to provide an intelligent control method and system in elevator operation, and the adopted technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides an intelligent control method in elevator operation, including the following steps:
acquiring the number of passengers and the load of the current elevator; obtaining a target floor sequence of a current elevator, wherein the target floor sequence comprises each floor to which the current elevator arrives; obtaining the distribution concentration of the current target floor according to the target floor sequence;
obtaining a speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers and the distribution concentration ratio;
obtaining the maximum speed which can be reached by the current elevator according to the speed coordination coefficient, and recording the maximum speed as a maximum target speed;
and obtaining the optimal speed to be reached in the process of the current elevator running to the next target floor according to the maximum target speed and the firefly algorithm.
In a second aspect, the invention further provides an intelligent control system in elevator operation, which includes a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the above intelligent control method in elevator operation.
Preferably, according to the target floor sequence, the calculation formula of the distribution concentration of the target floors is obtained as follows:
Figure DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 178819DEST_PATH_IMAGE002
being the distribution concentration of the target floors of the current elevator,
Figure 2419DEST_PATH_IMAGE003
for the target floor sequence of the current elevator,
Figure 656254DEST_PATH_IMAGE004
is a first adjustment coefficient, e is a natural constant,
Figure 881699DEST_PATH_IMAGE005
is the number of target floors in the target floor series of the current elevator, is the variance of the target floor series of the current elevator,
Figure 64418DEST_PATH_IMAGE006
is the sum of the differences between any two target floors in the sequence of target floors of the current elevator.
Preferably, obtaining the speed coordination coefficient of the current elevator according to the load bearing capacity, the number of passengers and the distribution concentration ratio includes:
obtaining the rated load and the maximum number of passengers of the same type of elevator; the maximum load carrying capacity is the number of people with standard height and weight which can be accommodated by the elevator, and the rated load is the maximum load carrying capacity which can be borne by the elevator;
and obtaining the speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers, the distribution concentration ratio, the rated load and the maximum number of passengers.
Preferably, the calculation formula for obtaining the speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers, the distribution concentration ratio, the rated load and the maximum number of passengers is as follows:
Figure 139428DEST_PATH_IMAGE007
wherein the content of the first and second substances,
Figure 65796DEST_PATH_IMAGE008
for the speed co-ordination factor of the current elevator,
Figure 880168DEST_PATH_IMAGE009
the load of the elevator at present, the nominal load of the elevator,
Figure 499369DEST_PATH_IMAGE010
is a function of the sine wave and is,
Figure 686110DEST_PATH_IMAGE011
the number of the current elevator carrying people is,
Figure 416169DEST_PATH_IMAGE012
the maximum number of persons who can be carried by the elevator,
Figure 85047DEST_PATH_IMAGE013
in the form of a function of the hyperbolic tangent,
Figure 140728DEST_PATH_IMAGE002
e is a natural constant, which is the distribution concentration of the target floor of the current elevator.
Preferably, according to the speed coordination coefficient, a calculation formula for obtaining the maximum target speed that can be achieved by the current elevator is as follows:
Figure 426216DEST_PATH_IMAGE014
wherein the content of the first and second substances,
Figure 694386DEST_PATH_IMAGE015
is the maximum target speed of the current elevator, v is the maximum running speed of the elevator, T represents the speed coordination coefficient of the current elevator,
Figure 748930DEST_PATH_IMAGE016
is a second correction coefficient; the maximum running speed of the elevator is the maximum speed which can be reached by the empty-load elevator of the same type in the running process.
Preferably, obtaining an optimal speed to be reached by the current elevator in the process of moving to the next target floor according to the maximum target speed and a firefly algorithm comprises:
acquiring a value range of a speed to be reached in the process from the current elevator to the next target floor according to the maximum target speed of the current elevator and the floor number of the current next target floor; each speed in the value range is recorded as a candidate speed;
acquiring the lowest acceleration of the elevator; obtaining feasible acceleration corresponding to each candidate speed according to each candidate speed and the deceleration time in the value range; when the feasible acceleration corresponding to the candidate speed is the maximum speed to be reached in the process from the current elevator to the next target floor is the candidate speed, the elevator is subjected to acceleration in a deceleration stage;
constructing a fitness function according to the speed coordination coefficient of the current elevator and the feasible acceleration corresponding to each candidate speed;
and according to the fitness function, obtaining the optimal speed to be reached when the current elevator runs to the next target floor by adopting a firefly algorithm.
Preferably, the constructing a fitness function according to the speed coordination coefficient of the current elevator and the feasible acceleration corresponding to each candidate speed comprises:
for any candidate speed:
Figure 709933DEST_PATH_IMAGE017
wherein the content of the first and second substances,
Figure 951558DEST_PATH_IMAGE018
in order to be a function of the fitness measure,
Figure 524884DEST_PATH_IMAGE019
in order to adopt the candidate speed, the time required for the current elevator to travel to the next destination floor,
Figure 699514DEST_PATH_IMAGE020
for the feasible acceleration corresponding to the candidate speed,
Figure 565838DEST_PATH_IMAGE021
max () is the maximum value, exp () is an exponential function with e as the base,
Figure 825918DEST_PATH_IMAGE008
the speed coordination coefficient of the current elevator.
The invention has the following beneficial effects:
according to the invention, firstly, the distribution concentration of the current target floor is obtained according to the target floor sequence of the current elevator, and then a speed coordination coefficient is obtained based on the load bearing capacity, the number of passengers and the distribution concentration of the current elevator; the speed coordination coefficient is used for adjusting the maximum speed which can be reached by the current elevator; and finally, obtaining the maximum target speed of the current elevator in operation according to the speed coordination coefficient, and further obtaining the optimal speed to be reached when the current elevator runs to the next target floor by adopting a firefly algorithm. The elevator speed control method based on the target floor, the number of people and the load of the elevator regulates and controls the running speed of the elevator in real time, so that the service life of the elevator is prolonged while the running efficiency of the elevator is guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an intelligent control method in elevator operation according to an embodiment of the present invention.
Detailed Description
In order to further explain the technical means and functional effects of the present invention adopted to achieve the predetermined invention purpose, an intelligent control method and system in elevator operation according to the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of an intelligent control method and system in elevator operation provided by the invention in detail by combining with the accompanying drawings.
The embodiment of the intelligent control method in the elevator running comprises the following steps:
as shown in fig. 1, the intelligent control method in elevator operation of the embodiment includes the following steps:
step S1, acquiring the number of passengers and the load of the current elevator; obtaining a target floor sequence of a current elevator, wherein the target floor sequence comprises each floor to which the current elevator arrives; and obtaining the distribution concentration of the current target floor according to the target floor sequence.
The elevator control system aims at carrying out real-time intelligent control on an elevator in operation so as to ensure the operation efficiency of the elevator and prolong the service life of the elevator. The embodiment first obtains data capable of reflecting the current elevator situation, specifically:
determining the number of people currently (i.e. when the current elevator is stopped) taking the elevator, specifically: the method comprises the steps of taking pictures of people entering the elevator through a camera in the elevator, and then counting the number of the people in the elevator by combining a neural network so as to obtain the number of the current elevator. In this embodiment, the identification of the number of people by using the neural network is a prior art, and is not described herein again.
The method for acquiring the load bearing load of the current elevator in the embodiment is the prior art, and the specific implementation mode is not described.
The distribution condition of floors to be reached during the operation of the elevator is considered, so that the overall operation speed of the elevator can be influenced; if the target floors (floors to be reached) are more concentrated, the influence on the overall running speed of the elevator is lower, and the loss on the brake of the elevator is smaller; if the target floor is more divergent, the more times the elevator stays in the middle, the greater the influence on the overall running speed of the elevator is, and the greater the abrasion on the brake of the elevator is caused. The embodiment determines a target floor which a current passenger wants to reach, and further analyzes the distribution condition of the current target floor; the mode of determining the target floor can be directly obtained from the current elevator panel without additional technical means. Thus, each target floor to be reached by the current elevator is obtained, and then a corresponding target floor sequence is obtained, wherein the target floor sequence comprises each floor to be reached by the current elevator, namely each target floor.
Thus, the present embodiment obtains the number of passengers, the load, and the destination floor sequence of the current elevator.
According to the target floor sequence of the current elevator, the distribution concentration of the target floors can be obtained, and the specific calculation formula of the distribution concentration is as follows:
Figure 435891DEST_PATH_IMAGE022
wherein the content of the first and second substances,
Figure 199448DEST_PATH_IMAGE002
being the distribution concentration of the target floors of the current elevator,
Figure 236674DEST_PATH_IMAGE003
for the target floor sequence of the current elevator, a first adjustment factor (which can be specifically assigned according to actual needs), e is a natural constant,
Figure 984050DEST_PATH_IMAGE005
the number of destination floors in the destination floor sequence of the current elevator, i.e. the number of elements in the destination floor sequence,
Figure 161829DEST_PATH_IMAGE023
is the variance of the target floor sequence of the current elevator,
Figure 779892DEST_PATH_IMAGE006
is the sum of the differences between any two target floors of the target floor series of the current elevator, e.g. calculated if the target floor series is 3,11,12
Figure 253598DEST_PATH_IMAGE024
(ii) a If there is only one target floor in the target floor sequence, then
Figure 222691DEST_PATH_IMAGE006
Is 0.
According to the above formula when
Figure 174467DEST_PATH_IMAGE005
The larger the distribution concentration is, the more floors the elevator needs to reach at present, the higher the overall speed of the elevator cannot reach, and the smaller the corresponding distribution concentration is; when the distribution is larger, the distribution of the target floor is more dispersed, and the concentration is poorer, the corresponding distribution concentration is smaller; when in use
Figure 178195DEST_PATH_IMAGE006
The larger the distribution is, the more dispersed the distribution of the target floors is, the smaller the corresponding distribution concentration is.
And step S2, obtaining the speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers and the distribution concentration.
In order to improve the running efficiency of the elevator, the embodiment can properly improve the running speed of the elevator in the interval with larger target floor interval, well control the available acceleration, and decelerate when the elevator reaches the target floor so as to improve the transportation efficiency; meanwhile, in the interval with smaller target floor interval, the running speed of the elevator should be properly reduced, and the situation of emergency braking of the elevator is avoided as much as possible, so that the brake loss of the elevator is reduced.
The embodiment is tested in an empty car mode, and the maximum running speed (namely the maximum speed which can be actually achieved by the elevator) of the elevator of the current model and the corresponding acceleration are determined; then, the basic operation attributes of the elevator of the current model, namely the rated load and the maximum number of people are determined, the maximum number of people is the number of people with standard height and weight which can be accommodated by the elevator, and the rated load is the maximum bearing load which can be borne by the elevator.
The speed when this embodiment is to current elevator operation carries out the adjustment of certain degree, reduces the wearing and tearing to the elevator brake when guaranteeing elevator operating efficiency, improves the life of elevator.
If the bearing load of elevator is great, then the elevator can have great inertial action in the operation, when the elevator will arrive appointed floor promptly, need slow down in advance, perhaps move with lower speed, if the functioning speed is too big, can lead to the elevator to be difficult to slow down, and then increase the wearing and tearing of elevator brake.
When the number of the passengers is larger, the larger the workload required by the elevator is, the operation efficiency should be improved as much as possible to save the time of the passengers. When the distribution concentration of target floor is smaller, the floor that the person of saying the rider selected is more dispersed, therefore the elevator need stop many times, if the elevator speed is very fast, can lead to the condition that emergency braking appears in the elevator, and then increase the loss of elevator braking.
The embodiment determines the speed coordination coefficient of the current elevator according to the load bearing capacity, the number of people bearing the elevator and the distribution concentration of the target floor, and the specific calculation formula is as follows:
Figure 557224DEST_PATH_IMAGE007
wherein the content of the first and second substances,
Figure 748034DEST_PATH_IMAGE008
for the speed co-ordination factor of the current elevator,
Figure 503500DEST_PATH_IMAGE009
in order to be the load-bearing load of the elevator at present,
Figure 863199DEST_PATH_IMAGE025
is the nominal load of the elevator,
Figure 678709DEST_PATH_IMAGE010
is a function of the sine wave and is,
Figure 356815DEST_PATH_IMAGE011
the number of the current elevator carrying persons is,
Figure 915972DEST_PATH_IMAGE012
the maximum number of persons who can bear the elevator,
Figure 363134DEST_PATH_IMAGE013
is a hyperbolic tangent function.
When the load bearing capacity of the elevator is large (if the load exceeds the rated load, the elevator stops working and gives an alarm to remind passengers), the speed which can be reached by the current elevator is adjusted to reduce the influence caused by inertia, and the T is large at the moment.
When the target floors selected by the passengers are distributed more intensively, the influence on the total running speed of actual running is smaller, so that the T is lower, and the intervention on the running speed is further reduced; if the distribution ratio is dispersed, the elevator can be started and decelerated for multiple times, and in order to prolong the service life of the elevator, the speed regulation is strengthened in the embodiment, namely, the speed coordination coefficient is larger.
When the number of passengers in the elevator is large, the current peak period is shown, and in order to save the waiting time of most people, the intervention on the running speed of the current elevator is reduced, namely the speed coordination coefficient is low.
The function of the speed coordination coefficient in this embodiment is to suppress the maximum operating speed and thus to correct the maximum speed currently achievable by the elevator. The speed coordination coefficient is calculated once after the elevator is opened every time (namely, the number of people borne, the load borne and the target floor sequence in the elevator after the elevator is opened at this time are obtained), so that the speed of the elevator is adjusted in real time according to the actual situation.
And step S3, obtaining the maximum speed which can be reached by the current elevator according to the speed coordination coefficient, and recording the maximum speed as the maximum target speed.
Considering that the elevator is not easy to decelerate when the speed of the elevator is too high, so that after the elevator reaches a target floor, an emergency braking condition possibly exists, and the abrasion to the elevator brake is aggravated; in this embodiment, the speed coordination coefficient of the current elevator is obtained according to step S2, the maximum running speed of the current elevator is corrected, and the corrected maximum speed is recorded as the maximum target speed, that is, the maximum speed that the current elevator can reach is obtained.
The speed coordination coefficient is a restraining effect on the speed correction, namely the larger the speed coordination coefficient is, the smaller the maximum target speed of the elevator is; the calculation formula of the maximum target speed of the current elevator is as follows:
Figure 349544DEST_PATH_IMAGE014
wherein the content of the first and second substances,
Figure 780526DEST_PATH_IMAGE015
is the maximum target speed of the current elevator, v is the maximum running speed of the elevator, T represents the speed coordination coefficient of the current elevator,
Figure 877795DEST_PATH_IMAGE016
and specifically, assignment can be performed on the second correction coefficient according to actual needs.
To this end, the present embodiment determines the maximum target speed of the current elevator according to the condition of the current elevator.
And step S4, obtaining the optimal speed to be reached when the current elevator runs to the next target floor according to the maximum target speed and the firefly algorithm.
In order to determine a proper running speed, the embodiment uses the firefly algorithm to determine an optimal solution, which is recorded as the speed which can be reached by the elevator when the current elevator arrives at the next target floor and is recorded as the optimal speed; the optimal speed can ensure the running efficiency of the elevator to a certain degree and can reduce the abrasion to the brake of the elevator to a certain degree.
The firefly algorithm simulates the light-emitting characteristic of natural firefly, and achieves the purpose of exchanging information by comparing the values of fluorescein, so that the problem is optimized. In the firefly algorithm, each firefly is regarded as a particle with a position and without a volume in a search space, each position represents a solution, the moving distance is determined by the fluorescence brightness and the light intensity absorption coefficient of surrounding individual partners, the search is continuously carried out in the search space, and finally the optimal solution is found.
Considering that the next target floor is higher, the speed that the elevator can reach will be greater, so this embodiment first utilizes the number of floors of the next target floor, obtains the value range of the speed that the current elevator will reach to the next target floor in-process, and the specific interval is:
Figure 943577DEST_PATH_IMAGE026
wherein, in the step (A),
Figure 100889DEST_PATH_IMAGE027
is the number of floors of the next target floor,
Figure 19167DEST_PATH_IMAGE028
and assigning a value for the third correction coefficient according to actual needs.
Iterating each speed in the value range by using a firefly algorithm to finally obtain an optimal candidate speed, and recording the optimal candidate speed as the optimal speed, namely the optimal speed is finally taken as the maximum speed to be reached by the elevator in the process from the current elevator to the next target floor in the embodiment; in the embodiment, each speed in the value range is recorded as a candidate speed, and the corresponding candidate speed is used as the maximum speed to be reached by the elevator in the process from the current elevator to the next target floor during each iteration.
Before optimization, determining the acceleration of the current elevator in a deceleration stage in the process of deceleration at a corresponding candidate speed; the acceleration can directly influence the service life of the elevator brake system, and if the acceleration is too small, the deceleration is slow, so that the overall efficiency is influenced; if too large, the load on the brake system is large, and the service life is easily affected. Thus, the corresponding candidate speed and deceleration timeDetermining the magnitude of the acceleration which can be carried out at the corresponding candidate speed, and recording the magnitude as the feasible acceleration corresponding to the candidate speed, namely the acceleration which should be adopted by the elevator in the deceleration stage when the maximum speed which is to be reached in the process of the current elevator reaching the next target floor is the candidate speed; the elevator with the speed of more than 2.5m/s specified by the national standard has the acceleration not less than
Figure 654547DEST_PATH_IMAGE029
Recording as the lowest acceleration; in this embodiment, the time of the deceleration stage is limited, and the deceleration time does not exceed 3s (which may be determined according to actual conditions), so as to determine the feasible acceleration corresponding to each candidate speed, that is, the value obtained by dividing the corresponding candidate speed by 3.
Generally speaking, the acceleration stage and the deceleration stage of the elevator exist in the running process, the two stages can be regarded as symmetrical two processes, it can be understood that the acceleration in the uniform deceleration stage and the acceleration in the uniform acceleration stage have the same magnitude and opposite directions, so the acceleration magnitude discussed in the embodiment only considers the magnitude of the uniform acceleration and deceleration stage.
In the embodiment, a fitness function is constructed according to the speed coordination coefficient of the current elevator and the feasible acceleration corresponding to each candidate speed in the value range; for any candidate speed:
Figure 341881DEST_PATH_IMAGE017
wherein, the first and the second end of the pipe are connected with each other,
Figure 404515DEST_PATH_IMAGE018
as a fitness function (i.e. the fitness function value for the candidate speed),
Figure 544509DEST_PATH_IMAGE019
in order to adopt the candidate speed (i.e., when the maximum speed to be reached in the course of the current elevator to the next destination floor is the candidate speed), the time required for the current elevator to travel to the next destination floor,
Figure 249160DEST_PATH_IMAGE020
for the feasible acceleration corresponding to the candidate speed,
Figure 791000DEST_PATH_IMAGE021
max () is the maximum value for the lowest acceleration, exp () is an exponential function with e as the base.
In the above formula, t can be obtained through a motion equation (combining the corresponding candidate speed and the motion rule of the elevator), and the specific manner is known in the art, and is not described herein again. In the formula, the acceleration of the elevator in a deceleration stage is adjusted through a speed coordination coefficient T so as to reduce the influence of the current acceleration on the brake life of the elevator; when t is larger, the efficiency of the elevator is lower; when in use
Figure 526000DEST_PATH_IMAGE030
The smaller the elevator life, the longer the elevator life.
The embodiment continuously and iteratively updates the positions of the fireflies according to the fireflies algorithm and the fitness function, finally finds the global optimal position, and records the candidate speed corresponding to the optimal position as the optimal speed. The firefly algorithm in this embodiment is the prior art, and will not be described herein.
Therefore, the embodiment obtains the optimal speed to be reached when the current elevator runs to the next target floor, that is, the optimal speed is finally used as the maximum speed to be reached when the current elevator runs to the next target floor.
If the system is suitable, the current program for lifting to the maximum speed is interrupted to stop, and if the condition is not met, the system skips the floor and delivers the floor to other elevators for processing. The maximum tolerated acceleration is the acceleration generated during normal braking of the elevator, which may give an uncomfortable feeling to passengers, and if the calculated speed is still unable to be reduced to 0 after reaching the designated floor, the elevator stops. If the condition is satisfied, the current operating speed is recalculated after the entry of a new occupant. The specific rules may be adjusted as desired.
According to the embodiment, the distribution concentration of the current target floor is obtained according to the target floor sequence of the current elevator, and then a speed coordination coefficient is obtained based on the load bearing capacity, the number of passengers and the distribution concentration of the current elevator; the speed coordination coefficient is used for adjusting the maximum speed which can be reached by the current elevator; and finally, obtaining the maximum target speed of the current elevator capable of running according to the speed coordination coefficient, and further obtaining the optimal speed to be reached in the process that the current elevator runs to the next target floor by adopting a firefly algorithm. The embodiment carries out real-time regulation and control to the functioning speed of elevator based on the target floor of elevator, the number of people and the load that bears, has realized improving the life of elevator when guaranteeing elevator operating efficiency.
Embodiment of the intelligent control system in elevator operation:
the intelligent control system in the elevator running of the embodiment comprises a memory and a processor, wherein the processor executes a computer program stored in the memory to realize the intelligent control method in the elevator running of the intelligent control method in the elevator running embodiment.
Since the intelligent control method in the elevator operation has been described in the embodiment of the intelligent control method in the elevator operation, the intelligent control method in the elevator operation is not described in detail in this embodiment.
It should be noted that: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (6)

1. An intelligent control method in elevator operation is characterized by comprising the following steps:
acquiring the number of passengers and the load of the current elevator; acquiring a target floor sequence of a current elevator, wherein the target floor sequence comprises each floor to which the current elevator arrives; obtaining the distribution concentration of the current target floor according to the target floor sequence;
obtaining a speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers and the distribution concentration of target floors;
obtaining the maximum speed which can be reached by the current elevator according to the speed coordination coefficient, and recording the maximum speed as the maximum target speed;
obtaining the optimal speed to be reached in the process that the current elevator runs to the next target floor according to the maximum target speed and the firefly algorithm;
the obtaining of the optimal speed to be reached in the process that the current elevator runs to the next target floor according to the maximum target speed and the firefly algorithm comprises the following steps:
acquiring a value range of a speed to be reached in the process from the current elevator to the next target floor according to the maximum target speed of the current elevator and the floor number of the current next target floor; each speed in the value range is recorded as a candidate speed;
acquiring the lowest acceleration of the elevator; obtaining feasible acceleration corresponding to each candidate speed according to each candidate speed and the deceleration time in the value range; when the feasible acceleration corresponding to the candidate speed is the maximum speed to be reached in the process from the current elevator to the next target floor is the candidate speed, the elevator is subjected to acceleration in a deceleration stage;
constructing a fitness function according to the speed coordination coefficient of the current elevator and the feasible acceleration corresponding to each candidate speed;
according to the fitness function, obtaining the optimal speed to be reached in the process that the current elevator runs to the next target floor by adopting a firefly algorithm;
the calculation formula for obtaining the distribution concentration of the target floor is as follows:
Figure 721120DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE003
being the distribution concentration of the target floors of the current elevator,
Figure 21389DEST_PATH_IMAGE004
for the target floor sequence of the current elevator,
Figure DEST_PATH_IMAGE005
is a first adjustment coefficient, e is a natural constant,
Figure 711128DEST_PATH_IMAGE006
being the number of destination floors in the destination floor sequence of the current elevator,
Figure DEST_PATH_IMAGE007
is the variance of the target floor sequence of the current elevator,
Figure 704229DEST_PATH_IMAGE008
is the sum of the differences between any two target floors in the sequence of target floors of the current elevator.
2. The intelligent control method of elevator operation according to claim 1, wherein obtaining the speed coordination coefficient of the current elevator according to the load bearing capacity, the number of passengers and the distribution concentration of the target floors comprises:
obtaining the rated load and the maximum number of passengers of the same type of elevator; the maximum load carrying capacity is the number of people with standard height and weight which can be accommodated by the elevator, and the rated load is the maximum load carrying capacity which can be borne by the elevator;
and obtaining the speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers, the distribution concentration of the target floor, the rated load and the maximum number of passengers.
3. The intelligent control method in the running process of the elevator according to claim 2, wherein the calculation formula for obtaining the speed coordination coefficient of the current elevator according to the load bearing load, the number of passengers, the distribution concentration ratio of target floors, the rated load and the maximum number of passengers is as follows:
Figure 33579DEST_PATH_IMAGE010
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE011
for the speed co-ordination factor of the current elevator,
Figure 107846DEST_PATH_IMAGE012
in order to be the load-bearing load of the elevator at present,
Figure DEST_PATH_IMAGE013
is the nominal load of the elevator,
Figure 890906DEST_PATH_IMAGE014
is a function of the sine wave and is,
Figure DEST_PATH_IMAGE015
the number of the current elevator carrying people is,
Figure 697319DEST_PATH_IMAGE016
the maximum number of persons who can be carried by the elevator,
Figure DEST_PATH_IMAGE017
in the form of a function of the hyperbolic tangent,
Figure 91129DEST_PATH_IMAGE003
e is a natural constant, which is the distribution concentration of the target floor of the current elevator.
4. An intelligent control method in elevator operation according to claim 1, wherein the calculation formula for obtaining the maximum target speed that can be achieved by the current elevator according to the speed coordination coefficient is:
Figure DEST_PATH_IMAGE019
wherein the content of the first and second substances,
Figure 437928DEST_PATH_IMAGE020
is the maximum target speed of the current elevator, v is the maximum running speed of the elevator, T represents the speed coordination coefficient of the current elevator,
Figure DEST_PATH_IMAGE021
is a second correction coefficient; the maximum running speed of the elevator is the maximum speed which can be reached by the empty-load elevator of the same type in the running process.
5. The intelligent control method in elevator operation according to claim 1, wherein constructing a fitness function according to the speed coordination coefficient of the current elevator and the feasible acceleration corresponding to each candidate speed comprises:
for any candidate speed:
Figure DEST_PATH_IMAGE023
wherein the content of the first and second substances,
Figure 945002DEST_PATH_IMAGE024
in order to be a function of the fitness measure,
Figure DEST_PATH_IMAGE025
in order to adopt the candidate speed, the time required for the current elevator to travel to the next destination floor,
Figure 968321DEST_PATH_IMAGE026
for the feasible acceleration corresponding to the candidate speed,
Figure DEST_PATH_IMAGE027
max () is the maximum value, exp () is an exponential function with e as the base,
Figure 318269DEST_PATH_IMAGE011
the speed coordination coefficient of the current elevator.
6. An intelligent control system in elevator operation, comprising a memory and a processor, characterized in that the processor executes a computer program stored in the memory to implement the intelligent control method in elevator operation according to any one of claims 1-5.
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