CN116354196B - Elevator group control management system based on data analysis - Google Patents
Elevator group control management system based on data analysis Download PDFInfo
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- CN116354196B CN116354196B CN202310262079.4A CN202310262079A CN116354196B CN 116354196 B CN116354196 B CN 116354196B CN 202310262079 A CN202310262079 A CN 202310262079A CN 116354196 B CN116354196 B CN 116354196B
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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
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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Abstract
The invention relates to the technical field of elevator control, which is used for solving the problems that in the existing elevator group control management mode, the requirements of building elevators and the running state of building elevator groups are difficult to be clarified, so that the optimal control on the dispatching of the building elevator groups cannot be realized, and the vertical traffic running efficiency of a building is low; the invention adopts a data analysis mode to realize the comprehensive analysis of the group control state of the building elevators, and adopts a partition scheduling classification analysis and an operation speed magnitude control mode, thereby realizing the optimal control analysis of the scheduling of the building elevator group, improving the operation efficiency of the building vertical traffic and reducing the energy consumption of the building elevator group.
Description
Technical Field
The invention relates to the technical field of elevator control, in particular to an elevator group control management system based on data analysis.
Background
With the improvement of the living standard of people and the high-speed development of urban buildings. The building needs to be provided with a plurality of elevators to improve the service quality and the reliability, and the simple increase of the number of the elevators cannot completely meet various requirements of the modern building, and can bring about various environmental pollution, energy loss, low operation efficiency and the like, so that the operation cost of the elevator group of the building is increased;
in the existing mode of elevator group control management, accurate analysis of building elevator demands is difficult, and analysis of the running state of a building elevator group cannot be achieved, so that optimal control of building elevator group dispatching cannot be achieved, and the vertical traffic running efficiency of a building is low.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to solve the problems that in the existing elevator group control management mode, the demand of the building elevators and the running state of the building elevator group are difficult to be clarified, so that the optimal control on the dispatching of the building elevator group cannot be realized, and the running efficiency of the building vertical traffic is low.
The aim of the invention can be achieved by the following technical scheme:
the elevator group control management system based on data analysis comprises a server, wherein the server is in communication connection with a data acquisition unit, a building elevator group demand analysis unit, a building elevator group control operation analysis unit, a superposition comprehensive analysis unit, an optimization regulation and control unit and a control terminal;
the data acquisition unit is used for acquiring the demand parameter information of the building elevators in a unit time period and the operation parameter information of each elevator in the building, and respectively transmitting the demand parameter information and the operation parameter information to the building elevator group demand analysis unit and the building elevator group control operation analysis unit through the server;
the building elevator group demand analysis unit is used for receiving demand parameter information of building elevators in a unit time period, analyzing and processing a building elevator group demand state, generating a carrying light demand signal, a carrying medium demand signal and a carrying high demand signal according to the demand parameter information, and sending the carrying light demand signal, the carrying medium demand signal and the carrying high demand signal to the superposition comprehensive analysis unit;
the building elevator group control operation analysis unit is used for receiving operation parameter information of each elevator in a building in a unit time period, analyzing and processing the building elevator group control operation state, generating building group control state normal signals, building group control state difference signals and building group control state difference deviation signals and sending the building group control state difference deviation signals to the superposition comprehensive analysis unit;
the superposition comprehensive analysis unit is used for receiving the building elevator carrying demand grade type judgment signal and the building elevator group control state grade type judgment signal, carrying out comprehensive analysis processing, generating a primary group control comprehensive feedback signal, a secondary group control comprehensive feedback signal, a tertiary group control comprehensive feedback signal and a quaternary group control comprehensive feedback signal according to the received signals, and sending the signals to the optimization regulation and control unit;
and the optimization control unit performs elevator dispatching optimization control analysis processing according to the received comprehensive feedback signals of group control of each level, and performs dispatching optimization control operation of the elevator group through the execution terminal.
Further, the specific operation steps of the building elevator group demand state analysis processing are as follows:
acquiring the people flow of the building in a unit time period, the elevator number of the building and the running values of the elevators in real time, and calibrating the people flow, the elevator number and the running values into rl, s and yx in sequence s And carrying out formulated analysis on the sample according to a set formulaObtaining an elevator group demand coefficient req of a building, wherein ρ1, ρ2 and ρ3 are weight factor coefficients of human flow, elevator number and operation quantity value respectively;
setting gradient reference intervals range 1, range 2 and range 3 of elevator group demand coefficients, substituting the obtained elevator group demand coefficients into preset gradient reference intervals range 1, range 2 and range 3 for comparison analysis;
when the elevator group demand coefficient is within the preset gradient reference range 1, a carrying light demand signal is generated, when the elevator group demand coefficient is within the preset gradient reference range 2, a carrying medium demand signal is generated, and when the elevator group demand coefficient is within the preset gradient reference range 3, a carrying high demand signal is generated.
Further, the specific solving process of the running value of the elevator is as follows:
acquiring fault magnitude, maintenance magnitude and self-checking magnitude in the operation parameter information of each elevator in a unit time period in real time, sequentially setting comparison thresholds TH1, TH2, TH3 and TH4 of each operation parameter, and comparing and analyzing each operation parameter data with a corresponding preset threshold;
when the fault magnitude is greater than or equal to a preset comparison threshold value TH1, the fault operation parameter item is assigned as a1 score, and when the fault magnitude is smaller than the preset comparison threshold value TH1, the fault operation parameter item is assigned as a2 score;
when the maintenance magnitude is smaller than a preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a1 score, and when the maintenance magnitude is larger than or equal to the preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a2 score;
when the maintenance value is smaller than a preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a1 score, and when the maintenance value is larger than or equal to the preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a2 score;
when the self-checking value is smaller than a preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a1 score, and when the self-checking value is larger than or equal to the preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a2 score;
and carrying out superposition analysis on the assignment scores of the fault operation parameter item, the maintenance operation parameter item and the self-checking operation parameter item, and obtaining the operation value of the elevator according to the assignment scores.
Further, the specific operation steps of the analysis and processing of the group control running state of the building elevator are as follows:
the average waiting time, the average operating energy consumption and the long waiting rate of the building elevator group in the unit time period are obtained in real time, and are respectively calibrated to awt, tlt, oec and lvr, and are subjected to formulated analysis, and according to a set formulaObtaining elevator group control coefficients gcc of a building, wherein λ1, λ2, λ3 and λ4 are correction factor coefficients of average waiting time, running energy consumption and long waiting rate respectively;
setting a first reference threshold value tv1 and a second reference threshold value tv2 of elevator group control coefficients of a building, and comparing and analyzing the elevator group control coefficients of the building with the preset first reference threshold value tv1 and second reference threshold value tv 2;
when the elevator group control coefficient of the building is smaller than a preset first reference threshold value tv1, generating a building group control state normal signal, when the elevator group control coefficient of the building is between the preset first reference threshold value tv1 and a second reference threshold value tv2, generating a building group control state difference signal and the like, and when the elevator group control coefficient of the building is larger than the preset first reference threshold value tv2, generating a building group control state difference and other declining signals.
Further, the specific operation steps of the comprehensive analysis processing are as follows:
building a set W according to a building elevator carrying demand level type judgment signal, calibrating a carrying light demand signal as an element o1, calibrating a carrying medium demand signal as an element o2, calibrating a carrying high demand signal as an element o3, wherein the element o1 epsilon the set W, the element o2 epsilon the set W and the element o3 epsilon the set W;
building a set V according to the building elevator group control state grade type judging signals, calibrating a building group control state normal signal as an element p1, calibrating signals such as a building group control state difference and the like as an element p2, the method comprises the steps of calibrating a signal with a building group control state difference and the like as an element p3, wherein the element p1 epsilon set V, the element p2 epsilon set V and the element p3 epsilon set V;
and performing union processing on the set W and V, generating a first-stage group control integrated feedback signal if W U V= { o3, p1}, generating a second-stage group control integrated feedback signal if W U V= { o2, p1} or { o2, p2}, generating a third-stage group control integrated feedback signal if W U V= { o1, p2} or { o1, p1} or { o3, p2}, and generating a fourth-stage group control integrated feedback signal if W U V= { o1, p3} or { o2, p3} or { o3, p3 }.
Further, the specific operation steps of the elevator dispatching optimization control analysis processing are as follows:
step one: acquiring the elevator number of a building, generating a static partition regulation and control instruction when the elevator number of the building is greater than or equal to a reference value sec1, and generating a dynamic partition regulation and control instruction when the elevator number of the building is less than the reference value sec 1;
step two: counting the number of mobile people on each floor of a building according to the generated static partition regulation and control instruction, arranging each floor of the building according to the size of the mobile people from large to small, obtaining a building floor sequence R1 according to the number of mobile people, combining each floor in the building floor sequence R1 according to the building floor sequence R1 and in a head-tail combination mode, stopping each elevator according to the floor combination mode according to the number of elevators of the building, and carrying out operation speed lifting operation of different orders on each elevator of the building successively according to the level represented by the group control comprehensive feedback signal;
step three: according to the generated dynamic partition regulation and control instruction, acquiring a peak time period of the flow of people of a building in one day, acquiring the number of arrival people of each floor of each peak time period, sequencing each floor of the building according to the size of the number of arrival people from large to small, obtaining a building floor sequence R2 according to the sequence, dividing the building floor sequence R2 according to the number of arrival people of each floor and the number of elevators of the building, and distributing a proper number of elevators to the corresponding floors in each peak time period.
Further, the specific steps of each elevator of the building to successively perform the operation of lifting the running speed of different orders are as follows:
when the level of the group control comprehensive feedback signal is the first-level group control comprehensive feedback signal, each elevator of the building is gradually lifted by k1 orders of operation speed;
when the level of the group control comprehensive feedback signal is the secondary group control comprehensive feedback signal, each elevator of the building is gradually lifted by k2 orders of operation speed;
when the level of the group control comprehensive feedback signal expression is three-level group control comprehensive feedback signals, each elevator of the building is gradually lifted by k3 orders of operation speed;
when the level of the group control integrated feedback signal is four-level group control integrated feedback signal, each elevator of the building is gradually lifted by k4 orders of operation speed.
Compared with the prior art, the invention has the beneficial effects that:
the invention realizes the judgment and analysis of the operation demand degree of the building elevator by means of formulation analysis and substitution analysis of the gradient reference interval, lays a foundation for realizing the accurate analysis of the group control efficiency of the building elevator, and realizes the judgment and analysis of the group control state of the building elevator group by means of data analysis, threshold comparison and signalization output;
the comprehensive analysis is carried out on the building elevator carrying demand grade type judgment signal and the building elevator group control state grade type judgment signal by adopting a set analysis mode, so that the comprehensive analysis on the building elevator group control state is realized, and a foundation is laid for the optimization regulation and control of the building elevator group control;
based on the method, the method utilizes a partition scheduling classification analysis and an operation speed magnitude control mode, so that the optimal control analysis of the scheduling of the building elevator group is realized, the operation efficiency of building vertical traffic is improved, and the energy consumption of the building elevator group is reduced.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the elevator group control management system based on data analysis comprises a server, wherein the server is in communication connection with a data acquisition unit, a building elevator group demand analysis unit, a building elevator group control operation analysis unit, a superposition comprehensive analysis unit, an optimization regulation and control unit and a control terminal;
the data acquisition unit is used for acquiring the demand parameter information of the elevators of the building and the operation parameter information of each elevator in the building in a unit time period, and respectively transmitting the demand parameter information and the operation parameter information of each elevator to the building elevator group demand analysis unit and the building elevator group control operation analysis unit through the server;
it should be noted that the demand parameter information of the building elevator includes the people flow of the building, the elevator number of the building and the operation value of each elevator;
when the building elevator group demand analysis unit receives demand parameter information of the building elevators in a unit time period, the building elevator group demand state analysis processing is carried out according to the demand parameter information, and the specific operation process is as follows:
acquiring the people flow of the building in a unit time period, the elevator number of the building and the running values of the elevators in real time, and calibrating the people flow, the elevator number and the running values into rl, s and yx in sequence s And carrying out formulated analysis on the sample according to a set formulaObtaining an elevator group demand coefficient req of a building, wherein ρ1, ρ2 and ρ3 are weight factor coefficients of human flow, elevator number and operation quantity value respectively, δ is a constant, and the specific numerical values of δ, ρ1, ρ2 and ρ3 are set specifically by a person skilled in the art in case of having, the weight factor coefficients are used for balancing the duty ratio weights of various data in formula calculation, so as to promote the accuracy of calculation results;
the specific solving process of the running value of the elevator is as follows:
acquiring fault magnitude, maintenance magnitude and self-checking magnitude in the operation parameter information of each elevator in a unit time period in real time, sequentially setting comparison thresholds TH1, TH2, TH3 and TH4 of each operation parameter, and comparing and analyzing each operation parameter data with a corresponding preset threshold;
it should be noted that, the comparison threshold TH1 is a reference value of a fault magnitude, the comparison threshold TH2 is a reference value of a maintenance magnitude, the comparison threshold TH3 is a reference value of a maintenance magnitude, and the comparison threshold TH4 is a reference value of a self-test magnitude;
when the fault magnitude is greater than or equal to a preset comparison threshold value TH1, the fault operation parameter item is assigned as a1 score, and when the fault magnitude is smaller than the preset comparison threshold value TH1, the fault operation parameter item is assigned as a2 score;
when the maintenance magnitude is smaller than a preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a1 score, and when the maintenance magnitude is larger than or equal to the preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a2 score;
when the maintenance value is smaller than a preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a1 score, and when the maintenance value is larger than or equal to the preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a2 score;
when the self-checking value is smaller than a preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a1 score, and when the self-checking value is larger than or equal to the preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a2 score;
performing superposition analysis on the assignment scores of the fault operation parameter item, the maintenance operation parameter item and the self-checking operation parameter item, and obtaining the operation value of the elevator according to the assignment scores;
setting gradient reference intervals range 1, range 2 and range 3 of elevator group demand coefficients, substituting the obtained elevator group demand coefficients into preset gradient reference intervals range 1, range 2 and range 3 for comparison analysis, wherein the interval values of the gradient reference intervals range 1, range 2 and range 3 are increased in a gradient manner, and setting specific interval values of the intervals range 1, range 2 and range 3 is specifically set by a person skilled in the art in a case of having the gradient reference intervals;
generating a carrying light demand signal when the elevator group demand coefficient is within a preset gradient reference range 1, generating a carrying medium demand signal when the elevator group demand coefficient is within a preset gradient reference range 2, and generating a carrying height demand signal when the elevator group demand coefficient is within a preset gradient reference range 3;
the generated carrying light demand signal, carrying medium demand signal and carrying high demand signal are all sent to a superposition comprehensive analysis unit;
when the building elevator group control operation analysis unit receives operation parameter information of each elevator in the building in a unit time period, the building elevator group control operation state analysis processing is carried out according to the operation parameter information, and the specific operation process is as follows:
the average waiting time, the average operating energy consumption and the long waiting rate of the building elevator group in the unit time period are obtained in real time, and are respectively calibrated to awt, tlt, oec and lvr, and are subjected to formulated analysis, and according to a set formulaObtaining elevator group control coefficients gcc of a building, wherein λ1, λ2, λ3 and λ4 are correction factor coefficients of average waiting time, running energy consumption and long waiting rate respectively, and specific numerical values of λ1, λ2, λ3 and λ4 are set specifically by a person skilled in the art in a case, and the correction factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that more accurate parameter data are calculated;
the waiting time refers to the time that the passenger presses a landing call button to know that the dispatched elevator reaches the passenger at the landing and enters the car;
the solving process of the average waiting time is as follows: acquiring the waiting time of each elevator of the building in a unit time period in real time and calibrating the waiting time as ht s Wherein s is a positive integer, s represents the number of elevators in the building, and the waiting times of all the elevators are subjected to mean processing according to the formula awt = (ht) 1 +ht 2 +……+ht s ) S, obtaining the average waiting time awt of the building elevator group;
setting a first reference threshold value tv1 and a second reference threshold value tv2 of the elevator group control coefficient of the building, and comparing and analyzing the elevator group control coefficient of the building with a preset first reference threshold value tv1 and a preset second reference threshold value tv2, wherein the first reference threshold value tv1 is smaller than the second reference threshold value tv2, and setting specific numerical values of the first reference threshold value tv1 and the second reference threshold value tv2 is specifically set by a person skilled in the art in specific cases;
when the elevator group control coefficient of the building is smaller than a preset first reference threshold value tv1, generating a building group control state normal signal, when the elevator group control coefficient of the building is between the preset first reference threshold value tv1 and a second reference threshold value tv2, generating a building group control state difference signal and the like, and when the elevator group control coefficient of the building is larger than the preset first reference threshold value tv2, generating a building group control state difference and other declining signals;
the generated building group control state normal signals, building group control state difference signals and building group control state difference deviation signals are sent to a superposition comprehensive analysis unit;
when the superposition comprehensive analysis unit receives the building elevator carrying demand grade type judgment signal and the building elevator group control state grade type judgment signal, comprehensive analysis processing is carried out, and the specific operation process is as follows:
building a set W according to a building elevator carrying demand level type judgment signal, calibrating a carrying light demand signal as an element o1, calibrating a carrying medium demand signal as an element o2, calibrating a carrying high demand signal as an element o3, wherein the element o1 epsilon the set W, the element o2 epsilon the set W and the element o3 epsilon the set W;
building a set V according to the building elevator group control state grade type judging signals, calibrating a building group control state normal signal as an element p1, calibrating signals such as a building group control state difference and the like as an element p2, the method comprises the steps of calibrating a signal with a building group control state difference and the like as an element p3, wherein the element p1 epsilon set V, the element p2 epsilon set V and the element p3 epsilon set V;
the method comprises the steps of performing union processing on a set W and V, generating a first-stage group control comprehensive feedback signal if W U V= { o3, p1}, generating a second-stage group control comprehensive feedback signal if W U V= { o2, p1} or { o2, p2}, generating a third-stage group control comprehensive feedback signal if W U V= { o1, p1} or { o3, p2}, and generating a fourth-stage group control comprehensive feedback signal if W U V= { o1, p3} or { o2, p3} or { o3, p3 };
it should be noted that, when the group control comprehensive feedback level is higher, the control state of the elevator group control of the building is worse;
the generated primary group control comprehensive feedback signal, the generated secondary group control comprehensive feedback signal, the generated tertiary group control comprehensive feedback signal and the generated quaternary group control comprehensive feedback signal are sent to an optimization regulation and control unit;
when the optimizing and regulating unit receives the group control comprehensive feedback signals of each level, and performs elevator dispatching optimizing control analysis processing according to the feedback signals, the specific operation process is as follows:
acquiring the elevator number of a building, generating a static partition regulation and control instruction when the elevator number of the building is greater than or equal to a reference value sec1, and generating a dynamic partition regulation and control instruction when the elevator number of the building is less than the reference value sec 1;
counting the number of mobile people on each floor of a building according to the generated static partition regulation command, arranging each floor of the building according to the size of the mobile people from large to small, obtaining a building floor sequence R1 according to the number of mobile people, combining each floor in the building floor sequence R1 according to the building floor sequence R1 in a head-tail combination mode, and stopping each elevator according to the number of elevators of the building by designating the floor according to the floor combination mode, wherein the method comprises the following steps:
for example, when the building has 7 floors, the number of flowing people on 2 floors is 10, the number of flowing people on 3 floors is 8, the number of flowing people on 4 floors is 15, the number of flowing people on 5 floors is 7, the number of flowing people on 6 floors is 23,7, and the number of flowing people on 6 floors is 11, all floors of the building are arranged in sequence from large to small according to the size of the flowing people on each floor, and the obtained building floor sequence R1 is {6 floors, 4 floors, 7 floors, 2 floors, 3 floors, 5 floors };
combining floors in a building floor sequence R1 in a head-tail combination mode, namely combining 6 floors with 5 floors, combining 4 floors with 3 floors, combining 7 floors with 2 floors, and assuming that a building has 3 elevator numbers, enabling a stair group of the building to share one elevator with the 3 floors according to static partition regulation and control operation, enabling the elevator to only serve the 3 floors and the 4 floors of the building, enabling the 7 floors to share one elevator with the 2 floors, enabling the elevator to only serve the 2 floors and the 7 floors of the building, enabling the 6 floors to share one elevator with the 5 floors, and enabling the elevator to only serve the 5 floors and the 6 floors of the building;
and according to the level of the group control comprehensive feedback signal expression, the elevators of the building are successively subjected to operation speed lifting operations of different orders, and the method is specific:
when the level of the group control comprehensive feedback signal is the first-level group control comprehensive feedback signal, each elevator of the building is gradually lifted by k1 orders of operation speed;
when the level of the group control comprehensive feedback signal is the secondary group control comprehensive feedback signal, each elevator of the building is gradually lifted by k2 orders of operation speed;
when the level of the group control comprehensive feedback signal expression is three-level group control comprehensive feedback signals, each elevator of the building is gradually lifted by k3 orders of operation speed;
when the level of the group control integrated feedback signal is the four-level group control integrated feedback signal, each elevator of the building is gradually increased by k4 orders of operation speed, wherein k1 is more than k2 and less than k3 and less than k4, and the specific numerical values of k1, k2, k3 and k4 are set specifically in specific cases by a person skilled in the art;
according to the generated dynamic partition regulation and control instruction, acquiring the peak time period of the people flow of the building in one day, and acquiring the number of the arrival people of each floor of each peak time period;
sequencing all floors of a building according to the size of the number of arrival people from large to small, obtaining a building floor sequence R2 according to the sequencing, and according to the building floor sequence R2;
dividing a building floor sequence R2 according to the number of arrival people at each floor and the number of elevators of the building, and distributing a proper amount of elevator numbers to corresponding floors in each peak period;
setting a comparison value CA1 of the number of arrival people, comparing and analyzing the number of arrival people with a preset comparison value CA1, when the number of arrival people is larger than or equal to the preset comparison value CA1, calibrating a huge carrier quantity signal of a corresponding floor in a building floor sequence R2, and generating an exclusive elevator instruction, otherwise, when the number of arrival people is smaller than the preset comparison value CA1, calibrating a normal carrier quantity signal of the corresponding floor in the building floor sequence R2, and generating a combined instruction;
according to the generated exclusive elevator instruction, designating a corresponding elevator at a corresponding floor in the building floor sequence R2 at a corresponding peak time;
according to the generated combination instruction, combining all the rest floors in the building floor sequence R2 according to a head-to-tail combination mode, then according to the number of elevators of the building, stopping all the elevators according to the specified floors in a floor combination mode, and according to the level represented by the group control comprehensive feedback signal, successively carrying out operation speed lifting operations of different orders on all the elevators of the building;
for example, when the building has 9 floors, the number of arrival people at 2 floors is 10, the number of arrival people at 3 floors is 8, the number of arrival people at 4 floors is 12, the number of arrival people at 5 floors is 23, the number of arrival people at 6 floors is 7, the number of arrival people at 7 floors is 28, the number of arrival people at 8 floors is 14, the number of arrival people at 9 floors is 16, the floors of the building are arranged in order from large to small according to the size of the arrival people at each floor, and the obtained building floor sequence R2 is {7 floors, 5 floors, 9 floors, 8 floors, 4 floors, 2 floors, 3 floors, 6 floors };
and assuming the comparison value CA1 is 25, calibrating the huge carrier volume signal of the floor 7 in the building floor sequence R2, generating an exclusive elevator instruction, and designating exclusive 1 elevator for the floor 7 in the building floor sequence R2 in the corresponding peak time according to the generated exclusive elevator instruction, namely, the assigned stairs in the time are only used for 7 floors of the building;
at this time {5, 9, 8,4, 2, 3, 6 } layers remain in the building floor sequence R2, and each floor in the building floor sequence R2 is combined in a head-to-tail combination manner, i.e., 5 and 6 layers, 9 and 3 layers, and 8 and 4 and 2 layers.
When the system is used, the method and the system realize the judgment and analysis of the operation demand degree of the building elevators by acquiring the demand parameter information of the building elevators in a unit time period and analyzing and processing the demand states of the building elevator groups and utilizing the mode of formulation analysis and substitution analysis of gradient reference intervals, and lay a foundation for realizing the accurate analysis of the group control efficiency of the building elevators;
the group control operation state of the building elevator group is analyzed by capturing the operation parameter information of each elevator in the building in a unit time period and carrying out the group control operation state analysis processing of the building elevator, and the judgment analysis of the group control state of the building elevator group is realized by adopting the data analysis, threshold comparison and signaling output modes;
the comprehensive analysis is carried out on the building elevator carrying demand grade type judgment signal and the building elevator group control state grade type judgment signal by adopting a set analysis mode, so that the comprehensive analysis on the building elevator group control state is realized, and a foundation is laid for the optimization regulation and control of the building elevator group control;
based on the method, the method utilizes a partition scheduling classification analysis and an operation speed magnitude control mode, so that the optimal control analysis of the scheduling of the building elevator group is realized, the operation efficiency of building vertical traffic is improved, and the energy consumption of the building elevator group is reduced.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The elevator group control management system based on data analysis is characterized by comprising a server, wherein the server is in communication connection with a data acquisition unit, a building elevator group demand analysis unit, a building elevator group control operation analysis unit, a superposition comprehensive analysis unit, an optimization regulation and control unit and a control terminal;
the data acquisition unit is used for acquiring the demand parameter information of the building elevators in a unit time period and the operation parameter information of each elevator in the building, and respectively transmitting the demand parameter information and the operation parameter information to the building elevator group demand analysis unit and the building elevator group control operation analysis unit through the server;
the building elevator group demand analysis unit is used for receiving demand parameter information of building elevators in a unit time period, analyzing and processing a building elevator group demand state, generating a carrying light demand signal, a carrying medium demand signal and a carrying high demand signal according to the demand parameter information, and sending the carrying light demand signal, the carrying medium demand signal and the carrying high demand signal to the superposition comprehensive analysis unit;
the building elevator group control operation analysis unit is used for receiving operation parameter information of each elevator in a building in a unit time period, analyzing and processing the building elevator group control operation state, generating building group control state normal signals, building group control state difference signals and building group control state difference deviation signals and sending the building group control state difference deviation signals to the superposition comprehensive analysis unit;
the superposition comprehensive analysis unit is used for receiving the building elevator carrying demand grade type judgment signal and the building elevator group control state grade type judgment signal, carrying out comprehensive analysis processing, generating a primary group control comprehensive feedback signal, a secondary group control comprehensive feedback signal, a tertiary group control comprehensive feedback signal and a quaternary group control comprehensive feedback signal according to the received signals, and sending the signals to the optimization regulation and control unit;
the optimization control unit performs elevator dispatching optimization control analysis processing according to the received group control comprehensive feedback signals of each level, and the specific operation process is as follows:
acquiring the elevator number of a building, generating a static partition regulation and control instruction when the elevator number of the building is greater than or equal to a reference value sec1, and generating a dynamic partition regulation and control instruction when the elevator number of the building is less than the reference value sec 1;
counting the number of mobile people on each floor of a building according to the generated static partition regulation and control instruction, arranging each floor of the building according to the size of the mobile people from large to small, obtaining a building floor sequence R1 according to the number of mobile people, combining each floor in the building floor sequence R1 according to the building floor sequence R1 in a head-tail combination mode, and stopping each elevator according to the number of elevators of the building in a floor combination mode; according to the level of the group control comprehensive feedback signal expression, the elevators of the building are successively operated at different levels of operation speed;
according to the generated dynamic partition regulation and control instruction, acquiring the peak time period of the people flow of the building in one day, and acquiring the number of the arrival people of each floor of each peak time period;
sequencing all floors of a building according to the size of the number of arrival people from large to small, obtaining a building floor sequence R2 according to the sequencing, and according to the building floor sequence R2;
dividing a building floor sequence R2 according to the number of arrival people at each floor and the number of elevators of the building, and distributing a proper amount of elevator numbers to corresponding floors in each peak period;
setting a comparison value CA1 of the number of arrival people, comparing and analyzing the number of arrival people with a preset comparison value CA1, when the number of arrival people is larger than or equal to the preset comparison value CA1, calibrating a huge carrier quantity signal of a corresponding floor in a building floor sequence R2, and generating an exclusive elevator instruction, otherwise, when the number of arrival people is smaller than the preset comparison value CA1, calibrating a normal carrier quantity signal of the corresponding floor in the building floor sequence R2, and generating a combined instruction;
according to the generated exclusive elevator instruction, designating a corresponding elevator at a corresponding floor in the building floor sequence R2 at a corresponding peak time;
according to the generated combination instruction, combining all the rest floors in the building floor sequence R2 according to a head-to-tail combination mode, then according to the number of elevators of the building, stopping all the elevators according to the specified floors in a floor combination mode, and according to the level represented by the group control comprehensive feedback signal, successively carrying out operation speed lifting operations of different orders on all the elevators of the building;
and the dispatching optimization control operation of the elevator group is carried out through the execution terminal.
2. The elevator group control management system based on data analysis of claim 1, wherein the specific operation steps of the building elevator group demand state analysis process are as follows:
acquiring the people flow of the building, the elevator number of the building and the running value of each elevator in a unit time period in real time, and carrying out formula analysis on the people flow and the elevator number and the running value of each elevator to obtain an elevator group demand coefficient of the building;
setting gradient reference intervals range 1, range 2 and range 3 of elevator group demand coefficients, substituting the obtained elevator group demand coefficients into preset gradient reference intervals range 1, range 2 and range 3 for comparison analysis;
when the elevator group demand coefficient is within a preset gradient reference interval range 1, generating a carrying light demand signal;
when the elevator group demand coefficient is within a preset gradient reference interval range 2, generating a carrying medium demand signal;
when the elevator group demand coefficient is within the preset gradient reference interval range 3, a carrying height demand signal is generated.
3. The elevator group control management system based on data analysis according to claim 2, characterized in that the specific solving process of the running values of the elevators is as follows:
acquiring fault magnitude, maintenance magnitude and self-checking magnitude in the operation parameter information of each elevator in a unit time period in real time, sequentially setting comparison thresholds TH1, TH2, TH3 and TH4 of each operation parameter, and comparing and analyzing each operation parameter data with a corresponding preset threshold;
when the fault magnitude is greater than or equal to a preset comparison threshold value TH1, the fault operation parameter item is assigned as a1 score, and when the fault magnitude is smaller than the preset comparison threshold value TH1, the fault operation parameter item is assigned as a2 score;
when the maintenance magnitude is smaller than a preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a1 score, and when the maintenance magnitude is larger than or equal to the preset comparison threshold value TH2, the maintenance operation parameter item is assigned as a2 score;
when the maintenance value is smaller than a preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a1 score, and when the maintenance value is larger than or equal to the preset comparison threshold value TH3, the maintenance operation parameter item is assigned as a2 score;
when the self-checking value is smaller than a preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a1 score, and when the self-checking value is larger than or equal to the preset comparison threshold value TH4, the self-checking operation parameter item is assigned as a2 score;
and carrying out superposition analysis on the assignment scores of the fault operation parameter item, the maintenance operation parameter item and the self-checking operation parameter item, and obtaining the operation value of the elevator according to the assignment scores.
4. The elevator group control management system based on data analysis according to claim 1, wherein the specific operation steps of the building elevator group control operation state analysis process are as follows:
acquiring average elevator waiting time, average elevator taking time, running energy consumption and long elevator waiting rate of a building elevator group in a unit time period in real time, and carrying out formulated analysis on the average elevator waiting time, the average elevator taking time, the running energy consumption and the long elevator waiting rate to obtain elevator group control coefficients of a building;
setting a first reference threshold value tv1 and a second reference threshold value tv2 of elevator group control coefficients of a building, and comparing and analyzing the elevator group control coefficients of the building with the preset first reference threshold value tv1 and second reference threshold value tv 2;
when the elevator group control coefficient of the building is smaller than a preset first reference threshold value tv1, generating a building group control state normal signal;
when the elevator group control coefficient of the building is between a preset first reference threshold value tv1 and a second reference threshold value tv2, signals such as building group control state difference are generated;
when the elevator group control coefficient of the building is larger than a preset first reference threshold value tv2, generating a deviation down signal such as building group control state difference.
5. The elevator group control management system based on data analysis of claim 1, wherein the specific operation steps of the comprehensive analysis process are as follows:
building a set W according to a building elevator carrying demand level type judgment signal, calibrating a carrying light demand signal as an element o1, calibrating a carrying medium demand signal as an element o2, calibrating a carrying high demand signal as an element o3, wherein the element o1 epsilon the set W, the element o2 epsilon the set W and the element o3 epsilon the set W;
building a set V according to the building elevator group control state grade type judging signals, calibrating a building group control state normal signal as an element p1, calibrating signals such as a building group control state difference and the like as an element p2, the method comprises the steps of calibrating a signal with a building group control state difference and the like as an element p3, wherein the element p1 epsilon set V, the element p2 epsilon set V and the element p3 epsilon set V;
and performing union processing on the set W and V, generating a first-stage group control integrated feedback signal if W U V= { o3, p1}, generating a second-stage group control integrated feedback signal if W U V= { o2, p1} or { o2, p2}, generating a third-stage group control integrated feedback signal if W U V= { o1, p2} or { o1, p1} or { o3, p2}, and generating a fourth-stage group control integrated feedback signal if W U V= { o1, p3} or { o2, p3} or { o3, p3 }.
6. The elevator group control management system based on data analysis according to claim 1, wherein the specific steps of successively performing different levels of operation speed lifting operations for each elevator of a building are as follows:
when the level of the group control comprehensive feedback signal is the first-level group control comprehensive feedback signal, each elevator of the building is gradually lifted by k1 orders of operation speed;
when the level of the group control comprehensive feedback signal is the secondary group control comprehensive feedback signal, each elevator of the building is gradually lifted by k2 orders of operation speed;
when the level of the group control comprehensive feedback signal expression is three-level group control comprehensive feedback signals, each elevator of the building is gradually lifted by k3 orders of operation speed;
when the level of the group control integrated feedback signal is four-level group control integrated feedback signal, each elevator of the building is gradually lifted by k4 orders of operation speed.
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