CN109956376A - The intelligent group control device and its control method of multiple elevator - Google Patents
The intelligent group control device and its control method of multiple elevator Download PDFInfo
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- CN109956376A CN109956376A CN201910078923.1A CN201910078923A CN109956376A CN 109956376 A CN109956376 A CN 109956376A CN 201910078923 A CN201910078923 A CN 201910078923A CN 109956376 A CN109956376 A CN 109956376A
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Classifications
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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
- B66B1/02—Control systems without regulation, i.e. without retroactive action
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
- B66B1/14—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements
- B66B1/18—Control systems without regulation, i.e. without retroactive action electric with devices, e.g. push-buttons, for indirect control of movements with means for storing pulses controlling the movements of several cars or cages
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/211—Waiting time, i.e. response time
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/215—Transportation capacity
Abstract
The present invention a kind of intelligent group control device and its control method of multiple elevator, belong to industrial automation, the present invention is using Rockwell PLC controller as the intelligent cluster controlled method of the multiple elevator of core design and control device.The invention proposes the elevator group controlling optimal control methods based on fuzzy reasoning.Few in conjunction with average riding time, average waiting time is few, waits the weighted average of low three evaluation indexes of terraced rate for a long time as evaluation function, on this basis, the Optimized Operation of multiple lift control system is realized using fuzzy reasoning method.The control system of multiple elevator is designed and developed using Rockwell PLC.Control program mainly includes the configuration module of elevator, elevator rolling inspection module, elevator traffic direction and indicator light Sign module, elevator switch door module, the terraced module of elevator group controlling group etc., and completes the design of multiple elevator monitoring interface.
Description
Technical field
The present invention devises the intelligent cluster controlled method and control device of multiple elevator, belongs to industrial automation.
Background technique
With the continuous development of society, high-rise intelligent construction is increasing, and people are to the elevator traffic in skyscraper
Ability has higher requirement, is that multiple elevator is run simultaneously by initial single elevator operation development.How more are realized
The coordination optimization of elevator controls, and has obtained extensive research at present and has paid attention to.
Summary of the invention
In order to solve the above-mentioned technical problem, the present invention is directed to the difficult point of more team control optimal controls, using fuzzy reasoning intelligence
Energy method devises the intelligent optimized control method of multiple elevator, and devises corresponding control device using PLC, realizes
Multiple elevator optimizes synthetic operation.
Technical solution of the present invention:
A kind of intelligent group control device of multiple elevator, by computer, the PLC controller of Rockwell Corporation, network mould
Block, monitoring module and input/output module composition, pass through Ethernet and control net network module (1756-ENBT and 1756-
CNBT two-tier network) is connected, realizes the communication of computer, monitoring module, controller, input/output module.
Further, the real-time control of elevator group by control layer ControlLogix Logix5000 (PLC controller)
United Dispatching is realized；When system is run, the elevator operation informations such as the continuous acquisition position sensor of input module and limit sensors,
And continually scan for outer call and interior hall buttons；When there is calling signal generation, elevator operation information and calling signal warp
Logix5000 (PLC controller) calculation process realizes start and stop, uplink, downlink, switch gate of elevator etc. by controlling frequency converter
Movement, while output module being sent to show floor and upper and lower row information etc.；In multiple lift control system, input, output information are more, with
For 5 layers of elevator, the input point for having single ladder needs of basic function is 32, and output point is 32, therefore is selected distributed
FLEX I/O module, they have the advantages that flexible for installation, small volume.
Further, the hardware design of control device is the external 220V alternating current of PLC, through power module 1756-PA72/C
It is+24V after processing, the direct current of 2.5A, is each communication module power supply on platform.Direct-current switch power supply can turn 220V alternating current
It is changed to the direct current of+24V, 6A, quality is higher, can be I/O module for power supply.
Further, this system uses 1756-L61CPU.
Further, the digital quantity input module selected in this system is 1756-IB16, operating voltage DC24V；Control
The low and high level signal of device processed can not be transmitted directly to controlled device, and signal processing, conversion must be carried out through digital output module
For the control signal that industrial field device is acceptable, the control functions such as starting, stopping are realized；Digital output selected by this system
Module model 1756-OB32, belongs to transistor output module.
Further, each sensor input signal is current signal in control system, selected Analog input mModule
Model 1756-IF8 and 1756-IF16；The function of Analog input mModule is exactly to the mould from the various sensors of remote scene
Analog quantity signal just conversion process, can be identified by PLC controller.
Further, the software design of control device includes following two:
1) single ladder control program
Single terraced system is controlled using Control-Logix controller herein, system is able to achieve will be outside each floor
Calling signal in upper and lower calling signal and cab unifies centralized control, so as to make elevator automatically determine traffic direction and control
The purpose floor to be gone of passenger processed, is usually used in the occasions such as school, residential building, hotel；In system operation, elevator will be equidirectional
On all calling signals and purpose floor be fully completed after, conversion operation direction, complete opposite direction on all calling signals
And purpose floor, it is exactly so-called orientation preferentially and heading off elevator in sequence.
2) multiple control lift controls program
Five layers of elevator mould are write using the ladder diagram exploitation software RS Logix5000 under the Windows environment of Rockwell
Then the setting of elevator control program and PLC are downloaded into PLC's by cable by type control system trapezoid figure program
In CPU.
Further, the intelligent cluster controlled method of multiple elevator is as follows:
Elevator Group Control Algorithm based on fuzzy control
According to hall call waiting time, lift car residual capacity, car utilization rate calculate passenger be averaged waiting time,
Average riding time waits terraced rate for a long time,
Various weight coefficients are determined according to expertise, obtain the evaluation function of elevator group controlling, and find out target value,
Then group's ladder；
1) determination of evaluation function
The quality of multiple lift control system is determined by following three factors: be averaged riding time (ART), passenger of passenger is average
Waiting time (AWT) waits terraced rate (LWP) for a long time；
ART: passenger be averaged riding time be description multiple lift control system an important factor for.Influence the master of passenger journey time
Wanting factor is the number of passenger in the start-stop time and carriage of elevator.
AWT: it refers to presses until hall buttons to elevator reaches the floor from passenger, the time of passenger's awaiting elevator.
The principal element for influencing average waiting time is: the remaining space of Passenger arrival rate, carriage；When the remaining space of carriage is smaller
When, elevator may carry new passenger without enough residual capacities, and the waiting time of passenger can be made to lengthen significantly；
LWP: waiting time is more than that the passenger of 90s accounts for the percentage of total passenger in certain time；Influencing its factor is: elevator
The frequent degree of calling, long waiting time and residual capacity；When there is calling signal, system should send the terraced rate of long time most automatically
Small, the biggish elevator response calling of carriage capacity；
In summary three evaluation criterions, shown in the evaluation function such as formula (1) for setting elevator:
Wherein, ωi: the weight coefficient determined according to expertise, ωi∈ (0,1), and
Zi: evaluation function value indicates the confidence level of i-th elevator response calling signal；
The short confidence level of average riding time, value is bigger to illustrate that a possibility that riding time is short is bigger；
The short confidence level of average waiting time, value is bigger to illustrate that a possibility that waiting time is short is bigger；
The low confidence level of terraced rate is waited for a long time, and value is bigger to illustrate that a possibility that terraced rate of time is low for a long time is bigger；
It is determined by input variable SC and EUDegree of membership；It is determined by FCWT, SC and EU's
Degree of membership；It is determined by FCWT and SCDegree of membership be i-th elevator evaluation function reasoning structure；
The degree of membership of each evaluation indexIt can be inferred by three input variables
Come, degree of membership Z total in this wayiIt can be computed；
2) calculating of input variable
Elevator calling distribution will consider following factor: the purpose floor of carriage calling and the operation shape of traffic direction, elevator
State, following carriage calling signal；Evaluation criterion ART, AWT, LWP of elevator, the input variable of fuzzy reasoning be FCWT,
SC and EU；Each input variable of every elevator of analytical calculation below:
FCWTi: the time that the purpose floor is waited is reached to i-th elevator since passenger logins calling signal；Its
Including carriage runing time and carriage berthing time two parts；
FCWTi=moving-time+stop-time (2)
Moving-time=floor × ut+cc × at (3)
Stop-time=et+p × pt (4)
Moving-time is carriage runing time；Stop-time is carriage berthing time；Floor is elevator operating floor
Number；Ut is duration used in elevator constant speed runs one layer；Cc is that response calling signal stops number；The delay of at elevator acceleration and deceleration
Time；Et is the elevator dwell time；P is elevator number of people entering；Pt is one duration into or out used；
SCi: i-th elevator is after responding new calling signal in multiple lift control system, to the residue of the following calling signal
Capacity；Its value is bigger, then elevator is stronger to the responding ability of new calling signal, and value is related with passenger's disengaging flow of elevator；
When calculating, take the 80% of its rated capacity for carriage capacity；
EU: in the lift car utilization rate of upstream or downstream；In the identical situation of passenger flow total amount, the benefit of elevator group carriage
Higher with rate, then the total distance of elevator group operation is smaller, and distance that is especially unloaded or carrying less reduces, and the start and stop of elevator group are always secondary
Number is also corresponding to be reduced, and elevator group energy consumption can be reduced accordingly；But with the increase of elevator group car utilization rate, passenger be averaged boarding when
Between, average waiting time can increase accordingly；Shown in car utilization rate such as formula (5):
In formula, NF is the total number of plies of building, SC0For lift car rated capacity, NPiFor i-th hall call number, NFi
Call the number of plies of purpose floor and beginning floor poor for i-th, n is the total degree that the secondary operation elevator responds equidirectional calling,
And take 80% carriage rated capacity.
3) input variable is blurred
The blurring of each input variable is the determination of membership function, according to the value range of each input variable, to fuzzy
The rule of the understanding of concept and multiple lift control system determines；The membership function of each input variable is determined separately below:
(1) blurring of FCWT:
The irritated degree of psychology is square directly proportional to waiting time when passenger waits ladder, usually when waiting time is arrived 0
The psychological condition of passenger is good in 20 seconds；It is acceptable when waiting time was at 20 to 40 seconds；When waiting time is 40
People can start the agitation become when by 60 seconds；When waiting time is greater than 60 seconds, people will start to complain, or even can not bear
By, with PVS, PS, PM, PB, PVB respectively indicate fitness at logical variable " very little, it is small, in, it is big, very big "；
(2) blurring of SC
In general, the 80% of carriage capacity is generally not to be exceeded in carriage seating capacity, when number is less than carriage in carriage
Capacity 20% when, passenger can feel very comfortable in carriage；When number reaches 20% to the 60% of carriage capacity in carriage, sedan-chair
Passenger can also receive in compartment；When more than 60%, passenger can become mood agitation].Carriage is indicated with " PS, PM, PB " respectively
Residual capacity is under the jurisdiction of Fuzzy Design value " small, in, big "；
(3) blurring of EU
Known by formula (1), value is less than or equal to 1.In general, when its value is less than 0.2, it is lower that lift car, which utilizes,
's；When its value is greater than 0.6, car utilization rate can consider higher.With " PS, PM, PB " indicate its logical variable " it is small, in,
Greatly "；
4) output variable is blurred
The degree of membership of AWT is obtained with input variable FCWT, SC and EU；The degree of membership of ART is obtained by SC and EU；By
FCWT and SC obtains the degree of membership of LWP；
By the degree of membership of evaluation index AWT, ART and LWP with five fuzzy variables " very big (PVB), big (PB), in
(PM), small (PS), very little (PVS) " indicates；
5) fuzzy reasoning
(1) average waiting time AWT few degree of membership ZAWTFuzzy inference rule:
Regular 1:If FCWT is PVS and SC is PB EU is PB Then ZAWTis PB；
Regular 2:If FCWT is PVS and SC is PB EU is PM Then ZAWTis PVB；
Regular 3:If FCWT is PVS and SC is PB EU is PS Then ZAWTis PVB；
Regular 4:If FCWT is PVS and SC is PM EU is PB Then ZAWTis PM；
Regular 5:If FCWT is PVS and SC is PM EU is PM Then ZAWTis PVB；
Regular 6:If FCWT is PVS and SC is PM EU is PS Then ZAWTis PVB；
Regular 7:If FCWT is PVS and SC is PS EU is PB Then ZAWTis PS；
Regular 8:If FCWT is PVS and SC is PS EU is PM Then ZAWTis PVB；
Regular 9:If FCWT is PVS and SC is PS EU is PS Then ZAWTis PVB；
Regular 10:If FCWT is PS and SC is PB EU is PB Then ZAWTis PM；
Regular 11:If FCWT is PS and SC is PB EU is PM Then ZAWTis PVB；
Regular 12:If FCWT is PS and SC is PB EU is PS Then ZAWTis PVB；
Regular 13:If FCWT is PS and SC is PM EU is PB Then ZAWTis PS；
Regular 14:If FCWT is PS and SC is PM EU is PM Then ZAWTis PB；
Regular 15:If FCWT is PS and SC is PM EU is PS Then ZAWTis PVB；
Regular 16:If FCWT is PS and SC is PS EU is PB Then ZAWTis PVS；
Regular 17:If FCWT is PS and SC is PS EU is PM Then ZAWTis PB；
Regular 18:If FCWT is PS and SC is PS EU is PS Then ZAWTis PB；
Regular 19:If FCWT is PM and SC is PB EU is PB Then ZAWTis PS；
Regular 20:If FCWT is PM and SC is PB EU is PM Then ZAWTis PB；
Regular 21:If FCWT is PM and SC is PB EU is PS Then ZAWTis PVB；
Regular 22:If FCWT is PM and SC is PM EU is PB Then ZAWTis PS；
Regular 23:If FCWT is PM and SC is PM EU is PM Then ZAWTis PM；
Regular 24:If FCWT is PM and SC is PM EU is PS Then ZAWTis PB；
Regular 25:If FCWT is PM and SC is PS EU is PB Then ZAWTis PVS；
Regular 26:If FCWT is PM and SC is PS EU is PM Then ZAWTis PS；
Regular 27:If FCWT is PM and SC is PS EU is PS Then ZAWTis PM；
Regular 28:If FCWT is PB and SC is PB EU is PB Then ZAWTis PS；
Regular 29:If FCWT is PB and SC is PB EU is PM Then ZAWTis PM；
Regular 30:If FCWT is PB and SC is PB EU is PS Then ZAWTis PB；
Regular 31:If FCWT is PB and SC is PM EU is PB Then ZAWTis PVS；
Regular 32:If FCWT is PB and SC is PM EU is PM Then ZAWTis PS；
Regular 33:If FCWT is PB and SC is PM EU is PS Then ZAWTis PM；
Regular 34:If FCWT is PB and SC is PS EU is PB Then ZAWTis PVS；
Regular 35:If FCWT is PB and SC is PS EU is PM Then ZAWTis PVS；
Regular 36:If FCWT is PB and SC is PS EU is PS Then ZAWTis PS；
Regular 37:If FCWT is PVB and SC is PB EU is PB Then ZAWTis PVS；
Regular 38:If FCWT is PVB and SC is PB EU is PM Then ZAWTis PS；
Regular 39:If FCWT is PVB and SC is PB EU is PS Then ZAWTis PM；
Regular 40:If FCWT is PVB and SC is PM EU is PB Then ZAWTis PVS；
Regular 41:If FCWT is PVB and SC is PM EU is PM Then ZAWTis PVS；
Regular 42:If FCWT is PVB and SC is PM EU is PS Then ZAWTis PS；
Regular 43:If FCWT is PVB and SC is PS EU is PB Then ZAWTis PVS；
Regular 44:If FCWT is PVB and SC is PS EU is PM Then ZAWTis PVS；
Regular 45:If FCWT is PVB and SC is PS EU is PS Then ZAWT is PVS。
Average waiting time AWT few degree of membership ZAWTIncrease with the increase of SC, with the increase of FCWT and EU
It reduces.Thus under equal conditions, when cab capacity SC is bigger, calling waiting time FCWT and elevator utilization rate EU it is smaller, that
The few degree of membership Z of the average waiting time of the elevatorAWTBigger, a possibility that selecting the elevator, is also bigger；
(2) average riding time ART few fuzzy inference rule:
Regular 1:If SC is PS and EU is PS Then ZARTis PM；
Regular 2:If SC is PS and EU is PM Then ZARTis PS；
Regular 3:If SC is PS and EU is PB Then ZARTis PVS；
Regular 4:If SC is PM and EU is PS Then ZARTis PB；
Regular 5:If SC is PM and EU is PM Then ZARTis PM；
Regular 6:If SC is PM and EU is PB Then ZARTis PS；
Regular 7:If SC is PB and EU is PS Then ZARTis PVB；
Regular 8:If SC is PB and EU is PM Then ZARTis PB；
Regular 9:If SC is PB and EU is PB Then ZARTis PM；
ZARTReduce as EU increases, increases with SC and increase；Thus when elevator respond certain calling EU value is smaller, SC
It is worth bigger, which responds the calling and be averaged the few degree of membership Z of riding timeARTIt is higher, then a possibility that selecting the elevator
It is bigger；
(3) the small fuzzy inference rule of terraced rate LWP is waited for a long time:
Regular 1:If FCWT is PVS and SC is PS Then ZLWPis PB；
Regular 2:If FCWT is PVS and SC is PM Then ZLWPis PVB；
Regular 3:If FCWT is PVS and SC is PB Then ZLWPis PVB；
Regular 4:If FCWT is PS and SC is PS Then ZLWPis PM；
Regular 5:If FCWT is PS and SC is PM Then ZLWPis PB；
Regular 6:If FCWT is PS and SC is PB Then ZLWPis PVB；
Regular 7:If FCWT is PM and SC is PS Then ZLWPis PS；
Regular 8:If FCWT is PM and SC is PM Then ZLWPis PM；
Regular 9:If FCWT is PM and SC is PB Then ZLWPis PB；
Regular 10:If FCWT is PB and SC is PS Then ZLWPis PVS；
Regular 11:If FCWT is PB and SC is PM Then ZLWPis PS；
Regular 12:If FCWT is PB and SC is PB Then ZLWPis PM；
Regular 13:If FCWT is PVB and SC is PS Then ZLWPis PVS；
Regular 14:If FCWT is PVB and SC is PM Then ZLWPis PVS；
Regular 15:If FCWT is PVB and SC is PB Then ZLWP is PS。
ZLWPIncrease with the increase of the residual capacity SC of cab, and with the increase of hall call response time FCWT
And reduce, thus under equal conditions, SC is bigger, and FCWT is smaller, and long-time waits the low degree of membership Z of terraced rateLWPIt is bigger, selection
A possibility that elevator, is also bigger；
6) sharpening
What is obtained above by fuzzy reasoning is fuzzy quantity, and actual control is then necessary for clearly measuring, therefore need
Fuzzy quantity is converted into clearly measuring；Input variable uses single-point fuzzification, and fuzzy reasoning uses max-min inference method, defeated
Center of gravity anti fuzzy method method is used out；Obtain average waiting time ZAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWPIt is subordinate to
The calculation formula of category degree:
In formula: ynFor the central value of output membership function；FjFor the fuzzy set of input variable； xjFor each input change
Amount；
Average waiting time Z is obtained using fuzzy reasoningAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWPIt is clear
Clear value can finally obtain the confidence level Z of the n platform elevator of response calling signal further according to formula (3.1)i, then from all credible
Maximum elevator is selected in degree removes response calling signal；
Ze=max (Z1,Z2...Zn)(9)
Wherein e is the elevator number for responding calling signal；
Further, the final of Room layer calling signal is allocated as follows:
When there is the calling signal of Room interlayer, present weight coefficient ω is provided according to expertise1、ω2、ω3Weight, so
Every elevator i that may respond calling signal is calculated afterwards, for each input variable value of the fuzzy reasoning of the calling signal, and will
It is blurred, then the fuzzy value of each evaluation index is calculated by fuzzy reasoning, then according to current corresponding heavy weight coefficient, meter
Every elevator is calculated for the overall confidence level Z of the calling signali, finally to total suitable confidence value Z of every elevatoriCompared
Compared with the selection maximum Z of confidence leveleElevator responds the floor call, to realize the optimal scheduling of elevator.
The advantages of the present invention
The intelligent optimized control method of multiple elevator is devised, and corresponding control device is devised using PLC, is realized
Multiple elevator optimizes synthetic operation.The present invention constructs the composite evaluation function of multiple lift control system, average riding time is few,
Average waiting time is few, waits the weighted average of low three evaluation indexes of terraced rate for a long time as evaluation function, realizes elevator
The optimum control of Group Control Schedule, the evaluation function can the more acurrate performances for reflecting group control system；To in composite evaluation function three
A evaluation index has carried out fuzzy reasoning, the specific implementation of selection, blurring, fuzzy reasoning and sharpening including input variable
Deng, and establish corresponding input, output membership function and fuzzy inference rule library；Computer is mutually tied with Rockwell PLC
It closes, devises elevator multiple control device, including hardware design and software development, realize above-mentioned intelligent cluster controlled method.
Detailed description of the invention
Fig. 1 is Elevator Group Control Algorithm overall structure figure；
Fig. 2 is the reasoning structure figure of elevator evaluation function；
Fig. 3 is Elevator Group Control Dispatching algorithm flow chart；
Fig. 4 is control device hardware block diagram；
Fig. 5 is the control flow chart of single elevator；
Fig. 6 is multiple lift control system software design flow chart；
Specific embodiment
In order to further illustrate the present invention, the present invention is described in detail with reference to the accompanying drawings and embodiments, but not
They can be interpreted as limiting the scope of the present invention.
Embodiment 1:
One, intelligent group control device
Group control device is by computer, the PLC controller of Rockwell Corporation, network module, monitoring module and input/defeated
Module forms out.Two-tier network is connected by Ethernet and control net network module (1756-ENBT and 1756-CNBT), is realized
The communication of computer, monitoring module, controller, input/output module.
The real-time control of elevator group is real by Logix5000 (PLC controller) United Dispatching of control layer ControlLogix
It is existing.When system is run, the elevator operation informations such as the continuous acquisition position sensor of input module and limit sensors, and continually scan for
Outer call and interior hall buttons.When there is calling signal generation, (PLC is controlled through Logix5000 for elevator operation information and calling signal
Device processed) calculation process realizes that start and stop, uplink, downlink, switch gate of elevator etc. act, while sending output by controlling frequency converter
Module shows floor and upper and lower row information etc..In multiple lift control system, input, output information are more, by taking 5 layers of elevator as an example, tool
The input point that single ladder of standby basic function needs is 32, and output point is 32, therefore selects distribution FLEX I/O module, they
Has the advantages that flexible for installation, small volume.
The hardware design of control device
The hardware block diagram of control device as indicated at 4, the external 220V alternating current of PLC, through power module 1756-PA72/C
It is+24V after processing, the direct current of 2.5A, is each communication module power supply on platform.Direct-current switch power supply can turn 220V alternating current
It is changed to the direct current of+24V, 6A, quality is higher, can be I/O module for power supply
1.CPU module
This system uses 1756-L61CPU.
2. digital quantity input module:
The digital quantity input module selected in this system is 1756-IB16, operating voltage DC24V.
3. digital output module:
The low and high level signal of controller can not be transmitted directly to controlled device, must carry out signal through digital output module
Processing is converted to the acceptable control signal of industrial field device, realizes the control functions such as starting, stopping.Selected by this system
Digital output module model 1756-OB32, belongs to transistor output module.
4. Analog input mModule:
Each sensor input signal is current signal, the model of selected Analog input mModule in this paper control system
1756-IF8 and 1756-IF16.The function of Analog input mModule is exactly to the analog quantity from the various sensors of remote scene
Signal just conversion process, can be identified by PLC controller.
(2) software design of control device
1. single ladder control program
Single terraced system is controlled using Control-Logix controller herein, system is able to achieve will be outside each floor
Calling signal in upper and lower calling signal and cab unifies centralized control, so as to make elevator automatically determine traffic direction and control
The purpose floor to be gone of passenger processed, is usually used in the occasions such as school, residential building, hotel.In system operation, elevator will be equidirectional
On all calling signals and purpose floor be fully completed after, conversion operation direction, complete opposite direction on all calling signals
And purpose floor, it is exactly so-called orientation preferentially and heading off elevator in sequence.The control flow chart of single elevator is as shown in Figure 5:
2. multiple control lift controls program
Five layers of elevator mould are write using the ladder diagram exploitation software RS Logix5000 under the Windows environment of Rockwell
Then the setting of elevator control program and PLC are downloaded into PLC's by cable by type control system trapezoid figure program
In CPU, shown in multiple lift control system software design flow chart 6.
Two, the intelligent cluster controlled method of multiple elevator
(1) based on the Elevator Group Control Algorithm of fuzzy control
The overall structure of multiple elevator group control algorithm is remaining according to hall call waiting time, lift car as shown in Figure 1:
Capacity, car utilization rate calculate passenger be averaged waiting time, average riding time, wait ladder rate for a long time, it is true according to expertise
Fixed various weight coefficients, obtain the evaluation function of elevator group controlling, and find out target value, then group's ladder.
1. the determination of evaluation function
The quality of multiple lift control system is mainly determined by following three factors: passenger is averaged riding time (ART), Cheng Keping
Equal waiting time (AWT) waits terraced rate (LWP) for a long time.
ART: passenger be averaged riding time be description multiple lift control system an important factor for.Influence the master of passenger journey time
Wanting factor is the number of passenger in the start-stop time and carriage of elevator.
AWT: it refers to presses until hall buttons to elevator reaches the floor from passenger, the time of passenger's awaiting elevator.
The principal element for influencing average waiting time is: the remaining space of Passenger arrival rate, carriage.When the remaining space of carriage is smaller
When, elevator may carry new passenger without enough residual capacities, and the waiting time of passenger can be made to lengthen significantly.
LWP: waiting time is more than that the passenger of 90s accounts for the percentage of total passenger in certain time.Influencing its principal element is:
The frequent degree of elevator calling, long waiting time and residual capacity.When there is calling signal, system should send the terraced rate of long time automatically
Minimum, the biggish elevator response calling of carriage capacity.
In summary three evaluation criterions, shown in the evaluation function such as formula (1) that elevator can be set:
Wherein, ωi: the weight coefficient determined according to expertise, ωi∈ (0,1), and
Zi: evaluation function value indicates the confidence level of i-th elevator response calling signal.
The short confidence level of average riding time, value is bigger to illustrate that a possibility that riding time is short is bigger.
The short confidence level of average waiting time, value is bigger to illustrate that a possibility that waiting time is short is bigger.
The low confidence level of terraced rate is waited for a long time, and value is bigger to illustrate that a possibility that terraced rate of time is low for a long time is bigger.
It is determined by input variable SC and EUDegree of membership；It is determined by FCWT, SC and EU's
Degree of membership；It is determined by FCWT and SCDegree of membership be illustrated in fig. 2 shown below as the reasoning knot of i-th elevator evaluation function
Structure.
The degree of membership of each evaluation indexIt can be inferred by three input variables
Come, degree of membership Z total in this wayiIt can be computed.
2. the calculating of input variable
Elevator calling distribution will consider following factor: the purpose floor of carriage calling and the operation shape of traffic direction, elevator
State, following carriage calling signal.Evaluation criterion ART, AWT, LWP of elevator, the input variable of fuzzy reasoning be FCWT,
SC and EU.Each input variable of every elevator of analytical calculation below:
FCWTi: the time that the purpose floor is waited is reached to i-th elevator since passenger logins calling signal.Its
Including carriage runing time and carriage berthing time two parts.
FCWTi=moving-time+stop-time (2)
Moving-time=floor × ut+cc × at (3)
Stop-time=et+p × pt (4)
Moving-time is carriage runing time；Stop-time is carriage berthing time；Floor is elevator operating floor
Number；Ut is duration used in elevator constant speed runs one layer；Cc is that response calling signal stops number；The delay of at elevator acceleration and deceleration
Time；Et is the elevator dwell time；P is elevator number of people entering；Pt is one duration into or out used.
SCi: i-th elevator is after responding new calling signal in multiple lift control system, to the residue of the following calling signal
Capacity.Its value is bigger, then elevator is stronger to the responding ability of new calling signal, and value is related with passenger's disengaging flow of elevator.
When calculating, take the 80% of its rated capacity for carriage capacity.
EU: in the lift car utilization rate of upstream or downstream.In the identical situation of passenger flow total amount, the benefit of elevator group carriage
Higher with rate, then the total distance of elevator group operation is smaller, and distance that is especially unloaded or carrying less reduces, and the start and stop of elevator group are always secondary
Number is also corresponding to be reduced, and elevator group energy consumption can be reduced accordingly.But with the increase of elevator group car utilization rate, passenger be averaged boarding when
Between, average waiting time can increase accordingly.Shown in car utilization rate such as formula (5):
In formula, NF is the total number of plies of building, SC0For lift car rated capacity, NPiFor i-th hall call number, NFi
Call the number of plies of purpose floor and beginning floor poor for i-th, n is the total degree that the secondary operation elevator responds equidirectional calling,
And take 80% carriage rated capacity.3. input variable is blurred
The blurring of each input variable is the determination of membership function, according to the value range of each input variable, to fuzzy
The rule of the understanding of concept and multiple lift control system determines.The membership function of each input variable is determined separately below:
(1) blurring of FCWT:
The irritated degree of psychology is square directly proportional to waiting time when passenger waits ladder, usually when waiting time is arrived 0
The psychological condition of passenger is good in 20 seconds；It is acceptable when waiting time was at 20 to 40 seconds；When waiting time is 40
People can start the agitation become when by 60 seconds；When waiting time is greater than 60 seconds, people will start to complain, or even can not bear
By, with PVS, PS, PM, PB, PVB respectively indicate fitness at logical variable " very little, it is small, in, it is big, very big ".
(2) blurring of SC
In general, the 80% of carriage capacity is generally not to be exceeded in carriage seating capacity, when number is less than carriage in carriage
Capacity 20% when, passenger can feel very comfortable in carriage；When number reaches 20% to the 60% of carriage capacity in carriage, sedan-chair
Passenger can also receive in compartment；When more than 60%, passenger can become mood agitation].Carriage is indicated with " PS, PM, PB " respectively
Residual capacity is under the jurisdiction of Fuzzy Design value " small, in, big ".
(3) blurring of EU
Known by formula (1), value is less than or equal to 1.In general, when its value is less than 0.2, it is lower that lift car, which utilizes,
's；When its value is greater than 0.6, car utilization rate can consider higher.With " PS, PM, PB " indicate its logical variable " it is small, in,
Greatly ".
4. output variable is blurred
The degree of membership of AWT is obtained with input variable FCWT, SC and EU；The degree of membership of ART is obtained by SC and EU；By
FCWT and SC obtains the degree of membership of LWP.
By the degree of membership of evaluation index AWT, ART and LWP with five fuzzy variables " very big (PVB), big (PB), in
(PM), small (PS), very little (PVS) " indicates.
5. fuzzy reasoning
(1) average waiting time AWT few degree of membership ZAWTFuzzy inference rule:
Regular 1:If FCWT is PVS and SC is PB EU is PB Then ZAWTis PB；
Regular 2:If FCWT is PVS and SC is PB EU is PM Then ZAWTis PVB；
Regular 3:If FCWT is PVS and SC is PB EU is PS Then ZAWTis PVB；
Regular 4:If FCWT is PVS and SC is PM EU is PB Then ZAWTis PM；
Regular 5:If FCWT is PVS and SC is PM EU is PM Then ZAWTis PVB；
Regular 6:If FCWT is PVS and SC is PM EU is PS Then ZAWTis PVB；
Regular 7:If FCWT is PVS and SC is PS EU is PB Then ZAWTis PS；
Regular 8:If FCWT is PVS and SC is PS EU is PM Then ZAWTis PVB；
Regular 9:If FCWT is PVS and SC is PS EU is PS Then ZAWTis PVB；
Regular 10:If FCWT is PS and SC is PB EU is PB Then ZAWTis PM；
Regular 11:If FCWT is PS and SC is PB EU is PM Then ZAWTis PVB；
Regular 12:If FCWT is PS and SC is PB EU is PS Then ZAWTis PVB；
Regular 13:If FCWT is PS and SC is PM EU is PB Then ZAWTis PS；
Regular 14:If FCWT is PS and SC is PM EU is PM Then ZAWTis PB；
Regular 15:If FCWT is PS and SC is PM EU is PS Then ZAWTis PVB；
Regular 16:If FCWT is PS and SC is PS EU is PB Then ZAWTis PVS；
Regular 17:If FCWT is PS and SC is PS EU is PM Then ZAWTis PB；
Regular 18:If FCWT is PS and SC is PS EU is PS Then ZAWTis PB；
Regular 19:If FCWT is PM and SC is PB EU is PB Then ZAWTis PS；
Regular 20:If FCWT is PM and SC is PB EU is PM Then ZAWTis PB；
Regular 21:If FCWT is PM and SC is PB EU is PS Then ZAWTis PVB；
Regular 22:If FCWT is PM and SC is PM EU is PB Then ZAWTis PS；
Regular 23:If FCWT is PM and SC is PM EU is PM Then ZAWTis PM；
Regular 24:If FCWT is PM and SC is PM EU is PS Then ZAWTis PB；
Regular 25:If FCWT is PM and SC is PS EU is PB Then ZAWTis PVS；
Regular 26:If FCWT is PM and SC is PS EU is PM Then ZAWTis PS；
Regular 27:If FCWT is PM and SC is PS EU is PS Then ZAWTis PM；
Regular 28:If FCWT is PB and SC is PB EU is PB Then ZAWTis PS；
Regular 29:If FCWT is PB and SC is PB EU is PM Then ZAWTis PM；
Regular 30:If FCWT is PB and SC is PB EU is PS Then ZAWTis PB；
Regular 31:If FCWT is PB and SC is PM EU is PB Then ZAWTis PVS；
Regular 32:If FCWT is PB and SC is PM EU is PM Then ZAWTis PS；
Regular 33:If FCWT is PB and SC is PM EU is PS Then ZAWTis PM；
Regular 34:If FCWT is PB and SC is PS EU is PB Then ZAWTis PVS；
Regular 35:If FCWT is PB and SC is PS EU is PM Then ZAWTis PVS；
Regular 36:If FCWT is PB and SC is PS EU is PS Then ZAWTis PS；
Regular 37:If FCWT is PVB and SC is PB EU is PB Then ZAWTis PVS；
Regular 38:If FCWT is PVB and SC is PB EU is PM Then ZAWTis PS；
Regular 39:If FCWT is PVB and SC is PB EU is PS Then ZAWTis PM；
Regular 40:If FCWT is PVB and SC is PM EU is PB Then ZAWTis PVS；
Regular 41:If FCWT is PVB and SC is PM EU is PM Then ZAWTis PVS；
Regular 42:If FCWT is PVB and SC is PM EU is PS Then ZAWTis PS；
Regular 43:If FCWT is PVB and SC is PS EU is PB Then ZAWTis PVS；
Regular 44:If FCWT is PVB and SC is PS EU is PM Then ZAWTis PVS；
Regular 45:If FCWT is PVB and SC is PS EU is PS Then ZAWT is PVS。
Average waiting time AWT few degree of membership ZAWTIncrease with the increase of SC, with the increase of FCWT and EU
It reduces.Thus under equal conditions, when cab capacity SC is bigger, calling waiting time FCWT and elevator utilization rate EU it is smaller, that
The few degree of membership Z of the average waiting time of the elevatorAWTBigger, a possibility that selecting the elevator, is also bigger.
(2) average riding time ART few fuzzy inference rule:
Regular 1:If SC is PS and EU is PS Then ZARTis PM；
Regular 2:If SC is PS and EU is PM Then ZARTis PS；
Regular 3:If SC is PS and EU is PB Then ZARTis PVS；
Regular 4:If SC is PM and EU is PS Then ZARTis PB；
Regular 5:If SC is PM and EU is PM Then ZARTis PM；
Regular 6:If SC is PM and EU is PB Then ZARTis PS；
Regular 7:If SC is PB and EU is PS Then ZARTis PVB；
Regular 8:If SC is PB and EU is PM Then ZARTis PB；
Regular 9:If SC is PB and EU is PB Then ZART is PM。
ZARTReduce as EU increases, increases with SC and increase.Thus when elevator respond certain calling EU value is smaller, SC
It is worth bigger, which responds the calling and be averaged the few degree of membership Z of riding timeARTIt is higher, then a possibility that selecting the elevator
It is bigger.
(3) the small fuzzy inference rule of terraced rate LWP is waited for a long time:
Regular 1:If FCWT is PVS and SC is PS Then ZLWPis PB；
Regular 2:If FCWT is PVS and SC is PM Then ZLWPis PVB；
Regular 3:If FCWT is PVS and SC is PB Then ZLWPis PVB；
Regular 4:If FCWT is PS and SC is PS Then ZLWPis PM；
Regular 5:If FCWT is PS and SC is PM Then ZLWPis PB；
Regular 6:If FCWT is PS and SC is PB Then ZLWPis PVB；
Regular 7:If FCWT is PM and SC is PS Then ZLWPis PS；
Regular 8:If FCWT is PM and SC is PM Then ZLWPis PM；
Regular 9:If FCWT is PM and SC is PB Then ZLWPis PB；
Regular 10:If FCWT is PB and SC is PS Then ZLWPis PVS；
Regular 11:If FCWT is PB and SC is PM Then ZLWPis PS；
Regular 12:If FCWT is PB and SC is PB Then ZLWPis PM；
Regular 13:If FCWT is PVB and SC is PS Then ZLWPis PVS；
Regular 14:If FCWT is PVB and SC is PM Then ZLWPis PVS；
Regular 15:If FCWT is PVB and SC is PB Then ZLWP is PS。
ZLWPIncrease with the increase of the residual capacity SC of cab, and with the increase of hall call response time FCWT
And reduce, thus under equal conditions, SC is bigger, and FCWT is smaller, and long-time waits the low degree of membership Z of terraced rateLWPIt is bigger, selection
A possibility that elevator, is also bigger.
6. sharpening
What is obtained above by fuzzy reasoning is fuzzy quantity, and actual control is then necessary for clearly measuring, therefore need
Fuzzy quantity is converted into clearly measuring.Input variable uses single-point fuzzification, and fuzzy reasoning uses max-min inference method, defeated
Center of gravity anti fuzzy method method is used out.It can obtain average waiting time ZAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWP
The calculation formula of degree of membership:
In formula: ynFor the central value of output membership function；FjFor the fuzzy set of input variable； xjFor each input change
Amount.
Average waiting time Z is obtained using fuzzy reasoningAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWPIt is clear
Clear value can finally obtain the confidence level Z of the n platform elevator of response calling signal further according to formula (3.1)i, then from all credible
Maximum elevator is selected in degree removes response calling signal.
Ze=max (Z1,Z2...Zn) (9)
Wherein e is the elevator number for responding calling signal.
(2) the final distribution of Room layer calling signal
Fuzzy multiple lift control system optimal scheduling flow chart is as shown in Figure 3.When there is the calling signal of Room interlayer, according to special
Family's experience provides present weight coefficient ω1、ω2、ω3Then weight calculates every elevator i that may respond calling signal, for
Each input variable value of the fuzzy reasoning of the calling signal, and be blurred, then each evaluation is calculated by fuzzy reasoning and is referred to
It is credible for the totality of the calling signal to calculate every elevator then according to current corresponding heavy weight coefficient for target fuzzy value
Spend Zi, finally to total suitable confidence value Z of every elevatoriIt is compared, chooses the maximum Z of confidence leveleElevator responds the stop and calls together
It calls out, to realize the optimal scheduling of elevator.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (9)
1. a kind of intelligent group control device of multiple elevator, it is characterised in that: by computer, Rockwell Corporation PLC controller,
Network module, monitoring module and input/output module composition, by Ethernet and control net network module (1756-ENBT and
Two-tier network 1756-CNBT) is connected, realizes the communication of computer, monitoring module, controller, input/output module.
2. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: the real-time control of elevator group by
Logix5000 (PLC controller) United Dispatching of control layer ControlLogix is realized；When system is run, input module is continuous
The elevator operation informations such as acquisition position sensor and limit sensors, and continually scan for outer call and interior hall buttons；When calling together
When calling out signal generation, elevator operation information and calling signal pass through control and become through Logix5000 (PLC controller) calculation process
Frequency device realizes that start and stop, uplink, downlink, switch gate of elevator etc. act, while output module being sent to show floor and upper and lower row information
Deng；In multiple lift control system, input, output information are more, by taking 5 layers of elevator as an example, have the defeated of single ladder needs of basic function
Access point is 32, and output point is 32, therefore selects distribution FLEX I/O module.
3. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: the hardware design of control device
For the external 220V alternating current of PLC, it is the direct current of+24V, 2.5A after power module 1756-PA72/C processing, is each on platform
Communication module power supply；220V alternating current can be converted to the direct current of+24V, 6A by direct-current switch power supply, and quality is higher, can be
I/O module for power supply.
4. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: this system uses 1756-L61
CPU。
5. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: the number selected in this system
Amount input module is 1756-IB16, operating voltage DC24V；The low and high level signal of controller can not be transmitted directly to by
Equipment is controlled, signal processing must be carried out through digital output module, be converted to the acceptable control signal of industrial field device, it is real
The control functions such as now starting, stopping；Digital output module model 1756-OB32 selected by this system belongs to transistor output
Module.
6. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: each sensor in control system
Input signal is current signal, the model 1756-IF8 and 1756-IF16 of selected Analog input mModule；Analog input mould
The function of block is exactly that can be controlled by PLC the just conversion process of the analog signals from the various sensors of remote scene
Device is identified.
7. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that: the software design of control device
Including following two:
1) single ladder control program
Single terraced system is controlled using Control-Logix controller herein, system is able to achieve will be upper and lower outside each floor
Calling signal in calling signal and cab unifies centralized control, so as to make elevator automatically determine traffic direction and control passenger
The purpose floor to be gone is usually used in the occasions such as school, residential building, hotel；System operation in, elevator will be equidirectional on institute
After having calling signal and purpose floor to be fully completed, all calling signals and purpose on opposite direction are completed in conversion operation direction
Floor is exactly so-called orientation preferentially and heading off elevator in sequence.
2) multiple control lift controls program
Five layers of elevator model control are write using the ladder diagram exploitation software RS Logix5000 under the Windows environment of Rockwell
Then the setting of elevator control program and PLC are downloaded into the CPU of PLC by system ladder chart program processed by cable.
8. the intelligent group control device of multiple elevator according to claim 1, it is characterised in that:
The intelligent cluster controlled method of multiple elevator is as follows:
Elevator Group Control Algorithm based on fuzzy control
According to hall call waiting time, lift car residual capacity, car utilization rate calculate passenger be averaged waiting time, be averaged
Riding time waits terraced rate for a long time,
Various weight coefficients are determined according to expertise, obtain the evaluation function of elevator group controlling, and find out target value, then
Group's ladder；
1) determination of evaluation function
The quality of multiple lift control system is determined by following three factors: passenger is averaged riding time (ART), passenger when averagely waiting ladder
Between (AWT), wait terraced rate (LWP) for a long time；
ART: passenger be averaged riding time be description multiple lift control system an important factor for.Influence passenger journey time it is main because
Element is the number of passenger in the start-stop time and carriage of elevator；
AWT: it refers to presses until hall buttons to elevator reaches the floor from passenger, the time of passenger's awaiting elevator.It influences
The principal element of average waiting time is: the remaining space of Passenger arrival rate, carriage；When the remaining space of carriage is smaller, electricity
Ladder may carry new passenger without enough residual capacities, and the waiting time of passenger can be made to lengthen significantly；
LWP: waiting time is more than that the passenger of 90s accounts for the percentage of total passenger in certain time；Influencing its factor is: elevator calling
Frequent degree, long waiting time and residual capacity；When there is calling signal, system should send the terraced rate minimum of long time, sedan-chair automatically
The biggish elevator response calling of compartment capacity；
In summary three evaluation criterions, shown in the evaluation function such as formula (1) for setting elevator:
Wherein, ωi: the weight coefficient determined according to expertise, ωi∈ (0,1), and
Zi: evaluation function value indicates the confidence level of i-th elevator response calling signal；
The short confidence level of average riding time, value is bigger to illustrate that a possibility that riding time is short is bigger；
The short confidence level of average waiting time, value is bigger to illustrate that a possibility that waiting time is short is bigger；
The low confidence level of terraced rate is waited for a long time, and value is bigger to illustrate that a possibility that terraced rate of time is low for a long time is bigger；
It is determined by input variable SC and EUDegree of membership；It is determined by FCWT, SC and EUBe subordinate to
Degree；It is determined by FCWT and SCDegree of membership be i-th elevator evaluation function reasoning structure；
The degree of membership of each evaluation indexIt can be inferred by three input variables Lai this
The total degree of membership Z of sampleiIt can be computed；
2) calculating of input variable
Elevator calling distribution will consider following factor: the purpose floor and traffic direction of carriage calling, the operating status of elevator, not
The carriage calling signal come；Evaluation criterion ART, AWT, LWP of elevator, the input variable of fuzzy reasoning are FCWT, SC and EU；
Each input variable of every elevator of analytical calculation below:
FCWTi: the time that the purpose floor is waited is reached to i-th elevator since passenger logins calling signal；It includes sedan-chair
Compartment runing time and carriage berthing time two parts；
FCWTi=moving-time+stop-time (2)
Moving-time=floor × ut+cc × at (3)
Stop-time=et+p × pt (4)
Moving-time is carriage runing time；Stop-time is carriage berthing time；Floor is elevator operating floor number；
Ut is duration used in elevator constant speed runs one layer；Cc is that response calling signal stops number；When the delay of at elevator acceleration and deceleration
Between；Et is the elevator dwell time；P is elevator number of people entering；Pt is one duration into or out used；
SCi: i-th elevator is after responding new calling signal in multiple lift control system, to the residual capacity of the following calling signal；
Its value is bigger, then elevator is stronger to the responding ability of new calling signal, and value is related with passenger's disengaging flow of elevator；It is calculating
When, take the 80% of its rated capacity for carriage capacity；
EU: in the lift car utilization rate of upstream or downstream；In the identical situation of passenger flow total amount, the utilization rate of elevator group carriage
Higher, then the total distance of elevator group operation is smaller, and distance that is especially unloaded or carrying less reduces, the start and stop total degree of elevator group
Corresponding to reduce, elevator group energy consumption can be reduced accordingly；But with the increase of elevator group car utilization rate, passenger be averaged riding time,
Average waiting time can be increase accordingly；Shown in car utilization rate such as formula (5):
In formula, NF is the total number of plies of building, SC0For lift car rated capacity, NPiFor i-th hall call number, NFiIt is
I calling purpose floor and the number of plies of beginning floor are poor, and n is that the secondary operation elevator responds the total degree of equidirectional calling, and takes
80% carriage rated capacity；
3) input variable is blurred
Each input variable blurring be membership function determination, according to the value range of each input variable, to fuzzy concept
Understanding and the rule of multiple lift control system determine；The membership function of each input variable is determined separately below:
(1) blurring of FCWT:
The irritated degree of psychology is square directly proportional to waiting time when passenger waits ladder, usually when waiting time was at 0 to 20 seconds
The psychological condition of interior passenger is good；It is acceptable when waiting time was at 20 to 40 seconds；When waiting time is 40 to 60
People can start the agitation become when the second；When waiting time is greater than 60 seconds, people will start to complain, or even can not endure,
With PVS, PS, PM, PB, PVB respectively indicate fitness at logical variable " very little, it is small, in, it is big, very big "；
(2) blurring of SC
In general, the 80% of carriage capacity is generally not to be exceeded in carriage seating capacity, when number is less than carriage capacity in carriage
20% when, passenger can feel very comfortable in carriage；When number reaches 20% to the 60% of carriage capacity in carriage, in carriage
Passenger can also receive；When more than 60%, passenger can become mood agitation；Indicate that carriage residue is held with " PS, PM, PB " respectively
Amount is under the jurisdiction of Fuzzy Design value " small, in, big "；
(3) blurring of EU
Known by formula (1), value is less than or equal to 1.In general, when its value is less than 0.2, it is lower that lift car, which utilizes,；
When its value is greater than 0.6, car utilization rate can consider higher.Its logical variable " small, in, big " is indicated with " PS, PM, PB "；
4) output variable is blurred
The degree of membership of AWT is obtained with input variable FCWT, SC and EU；The degree of membership of ART is obtained by SC and EU；By FCWT and
SC obtains the degree of membership of LWP；
By the degree of membership of evaluation index AWT, ART and LWP with five fuzzy variables " very big (PVB), big (PB), in (PM), small
(PS), very little (PVS) " is indicated；
5) fuzzy reasoning
(1) average waiting time AWT few degree of membership ZAWTFuzzy inference rule:
Regular 1:If FCWT is PVS and SC is PB EU is PB Then ZAWTis PB；
Regular 2:If FCWT is PVS and SC is PB EU is PM Then ZAWTis PVB；
Regular 3:If FCWT is PVS and SC is PB EU is PS Then ZAWTis PVB；
Regular 4:If FCWT is PVS and SC is PM EU is PB Then ZAWTis PM；
Regular 5:If FCWT is PVS and SC is PM EU is PM Then ZAWTis PVB；
Regular 6:If FCWT is PVS and SC is PM EU is PS Then ZAWTis PVB；
Regular 7:If FCWT is PVS and SC is PS EU is PB Then ZAWTis PS；
Regular 8:If FCWT is PVS and SC is PS EU is PM Then ZAWTis PVB；
Regular 9:If FCWT is PVS and SC is PS EU is PS Then ZAWTis PVB；
Regular 10:If FCWT is PS and SC is PB EU is PB Then ZAWTis PM；
Regular 11:If FCWT is PS and SC is PB EU is PM Then ZAWTis PVB；
Regular 12:If FCWT is PS and SC is PB EU is PS Then ZAWTis PVB；
Regular 13:If FCWT is PS and SC is PM EU is PB Then ZAWTis PS；
Regular 14:If FCWT is PS and SC is PM EU is PM Then ZAWTis PB；
Regular 15:If FCWT is PS and SC is PM EU is PS Then ZAWTis PVB；
Regular 16:If FCWT is PS and SC is PS EU is PB Then ZAWTis PVS；
Regular 17:If FCWT is PS and SC is PS EU is PM Then ZAWTis PB；
Regular 18:If FCWT is PS and SC is PS EU is PS Then ZAWTis PB；
Regular 19:If FCWT is PM and SC is PB EU is PB Then ZAWTis PS；
Regular 20:If FCWT is PM and SC is PB EU is PM Then ZAWTis PB；
Regular 21:If FCWT is PM and SC is PB EU is PS Then ZAWTis PVB；
Regular 22:If FCWT is PM and SC is PM EU is PB Then ZAWTis PS；
Regular 23:If FCWT is PM and SC is PM EU is PM Then ZAWTis PM；
Regular 24:If FCWT is PM and SC is PM EU is PS Then ZAWTis PB；
Regular 25:If FCWT is PM and SC is PS EU is PB Then ZAWTis PVS；
Regular 26:If FCWT is PM and SC is PS EU is PM Then ZAWTis PS；
Regular 27:If FCWT is PM and SC is PS EU is PS Then ZAWTis PM；
Regular 28:If FCWT is PB and SC is PB EU is PB Then ZAWTis PS；
Regular 29:If FCWT is PB and SC is PB EU is PM Then ZAWTis PM；
Regular 30:If FCWT is PB and SC is PB EU is PS Then ZAWTis PB；
Regular 31:If FCWT is PB and SC is PM EU is PB Then ZAWTis PVS；
Regular 32:If FCWT is PB and SC is PM EU is PM Then ZAWTis PS；
Regular 33:If FCWT is PB and SC is PM EU is PS Then ZAWTis PM；
Regular 34:If FCWT is PB and SC is PS EU is PB Then ZAWTis PVS；
Regular 35:If FCWT is PB and SC is PS EU is PM Then ZAWTis PVS；
Regular 36:If FCWT is PB and SC is PS EU is PS Then ZAWTis PS；
Regular 37:If FCWT is PVB and SC is PB EU is PB Then ZAWTis PVS；
Regular 38:If FCWT is PVB and SC is PB EU is PM Then ZAWTis PS；
Regular 39:If FCWT is PVB and SC is PB EU is PS Then ZAWTis PM；
Regular 40:If FCWT is PVB and SC is PM EU is PB Then ZAWTis PVS；
Regular 41:If FCWT is PVB and SC is PM EU is PM Then ZAWTis PVS；
Regular 42:If FCWT is PVB and SC is PM EU is PS Then ZAWTis PS；
Regular 43:If FCWT is PVB and SC is PS EU is PB Then ZAWTis PVS；
Regular 44:If FCWT is PVB and SC is PS EU is PM Then ZAWTis PVS；
Regular 45:If FCWT is PVB and SC is PS EU is PS Then ZAWT is PVS。
Average waiting time AWT few degree of membership ZAWTIncrease with the increase of SC, is reduced with the increase of FCWT and EU.
Thus under equal conditions, when cab capacity SC is bigger, calling waiting time FCWT and elevator utilization rate EU is smaller, then the electricity
The few degree of membership Z of the average waiting time of ladderAWTBigger, a possibility that selecting the elevator, is also bigger；
(2) average riding time ART few fuzzy inference rule:
Regular 1:If SC is PS and EU is PS Then ZARTis PM；
Regular 2:If SC is PS and EU is PM Then ZARTis PS；
Regular 3:If SC is PS and EU is PB Then ZARTis PVS；
Regular 4:If SC is PM and EU is PS Then ZARTis PB；
Regular 5:If SC is PM and EU is PM Then ZARTis PM；
Regular 6:If SC is PM and EU is PB Then ZARTis PS；
Regular 7:If SC is PB and EU is PS Then ZARTis PVB；
Regular 8:If SC is PB and EU is PM Then ZARTis PB；
Regular 9:If SC is PB and EU is PB Then ZARTis PM；
ZARTReduce as EU increases, increases with SC and increase；Thus when elevator respond certain calling EU value is smaller, SC value is got over
Greatly, which responds the calling and is averaged the few degree of membership Z of riding timeARTIt is higher, then a possibility that selecting the elevator is got over
Greatly；
(3) the small fuzzy inference rule of terraced rate LWP is waited for a long time:
Regular 1:If FCWT is PVS and SC is PS Then ZLWPis PB；
Regular 2:If FCWT is PVS and SC is PM Then ZLWPis PVB；
Regular 3:If FCWT is PVS and SC is PB Then ZLWPis PVB；
Regular 4:If FCWT is PS and SC is PS Then ZLWPis PM；
Regular 5:If FCWT is PS and SC is PM Then ZLWPis PB；
Regular 6:If FCWT is PS and SC is PB Then ZLWPis PVB；
Regular 7:If FCWT is PM and SC is PS Then ZLWPis PS；
Regular 8:If FCWT is PM and SC is PM Then ZLWPis PM；
Regular 9:If FCWT is PM and SC is PB Then ZLWPis PB；
Regular 10:If FCWT is PB and SC is PS Then ZLWPis PVS；
Regular 11:If FCWT is PB and SC is PM Then ZLWPis PS；
Regular 12:If FCWT is PB and SC is PB Then ZLWPis PM；
Regular 13:If FCWT is PVB and SC is PS Then ZLWPis PVS；
Regular 14:If FCWT is PVB and SC is PM Then ZLWPis PVS；
Regular 15:If FCWT is PVB and SC is PB Then ZLWP is PS。
ZLWPIncrease with the increase of the residual capacity SC of cab, and subtracts with the increase of hall call response time FCWT
It is few, thus under equal conditions, SC is bigger, and FCWT is smaller, and long-time waits the low degree of membership Z of terraced rateLWPIt is bigger, select the electricity
A possibility that terraced, is also bigger；
6) sharpening
What is obtained above by fuzzy reasoning is fuzzy quantity, and actual control is then necessary for clearly measuring, it is therefore desirable to will
Fuzzy quantity is converted into clearly measuring；Input variable uses single-point fuzzification, and fuzzy reasoning uses max-min inference method, and output is adopted
With center of gravity anti fuzzy method method；Obtain average waiting time ZAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWPDegree of membership
Calculation formula:
In formula: ynFor the central value of output membership function；FjFor the fuzzy set of input variable；xjFor each input variable；
Average waiting time Z is obtained using fuzzy reasoningAWT, average riding time ZARTTerraced rate Z is waited with long-timeLWPClear value,
The confidence level Z of the n platform elevator of response calling signal can be finally obtained further according to formula (3.1)i, then selected from all confidence levels
Maximum elevator removes response calling signal out；
Ze=max (Z1,Z2...Zn) (9)
Wherein e is the elevator number for responding calling signal.
9. the intelligent group control device of multiple elevator according to claim 8, it is characterised in that: the Room layer calling signal it is final
It is allocated as follows:
When there is the calling signal of Room interlayer, present weight coefficient ω is provided according to expertise1、ω2、ω3Then weight is counted
Every elevator i that may respond calling signal is calculated, for each input variable value of the fuzzy reasoning of the calling signal, and by its mould
It is gelatinized, then calculates the fuzzy value of each evaluation index by fuzzy reasoning, then according to current corresponding heavy weight coefficient, calculate
Overall confidence level Z of the every elevator for the calling signali, finally to total suitable confidence value Z of every elevatoriIt is compared, selects
Take the maximum Z of confidence leveleElevator responds the floor call, to realize the optimal scheduling of elevator.
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