CN105923476B - Multi-objective Elevator Group Control system and method - Google Patents

Multi-objective Elevator Group Control system and method Download PDF

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Publication number
CN105923476B
CN105923476B CN201610560879.4A CN201610560879A CN105923476B CN 105923476 B CN105923476 B CN 105923476B CN 201610560879 A CN201610560879 A CN 201610560879A CN 105923476 B CN105923476 B CN 105923476B
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China
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elevator
module
movement data
car movement
group control
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CN105923476A (en
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陈涛
黄立明
雷嘉伟
郑海松
陈雄伟
仲兆峰
李基源
李良
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Hitachi Building Technology Guangzhou Co Ltd
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Hitachi Building Technology Guangzhou Co Ltd
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Priority to CN201610560879.4A priority Critical patent/CN105923476B/en
Publication of CN105923476A publication Critical patent/CN105923476A/en
Priority to PCT/CN2016/112934 priority patent/WO2018010381A1/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00Control systems of elevators in general
    • B66B1/02Control systems without regulation, i.e. without retroactive action
    • B66B1/06Control systems without regulation, i.e. without retroactive action electric

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Elevator Control (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)

Abstract

The embodiment of the invention discloses a kind of Multi-objective Elevator Group Control system and method.The system includes:Computing module is analyzed in team control, is deployed in cloud computing center, and the car movement data for being uploaded to each elevator carries out analysis calculating, to determine to carry out elevator the group control algorithm of team control;Local team control execution module, analyze with the team control and kept in communication connection by Internet of Things between computing module, for performing the group control algorithm analyzed computing module by the team control and drawn;Elevator controlling module, the elevator different from elevator group are correspondingly arranged, and are analyzed with the team control and kept in communication connection by Internet of Things between computing module, for the car movement data to be uploaded into the team control analysis computing module.Multi-objective Elevator Group Control system and method provided in an embodiment of the present invention saves exploitation and the maintenance cost of multiple lift control system.

Description

Multi-objective Elevator Group Control system and method
Technical field
The present embodiments relate to elevator technology field, more particularly to a kind of Multi-objective Elevator Group Control system and method.
Background technology
With the continuous propulsion of China's urbanization, building are also more and more in city.And increasing with building number, electricity The group control system of ladder also begins to commercially popular.
Existing multiple lift control system needs substantial amounts of memory space and high performance processor to be calculated.With algorithm Continuous upgrading, elevator controlling number be continuously increased, then need constantly to expand memory space, hardware configuration updated, so as to bring Greatly exploitation and maintenance cost.
The content of the invention
For above-mentioned technical problem, the embodiments of the invention provide a kind of Multi-objective Elevator Group Control system and method, with section Save the exploitation maintenance cost of multiple lift control system.
On the one hand, the embodiments of the invention provide a kind of Multi-objective Elevator Group Control system, the system to include:
Computing module is analyzed in team control, is deployed in cloud computing center, for the car movement data uploaded to each elevator Analysis calculating is carried out, to determine to carry out elevator the group control algorithm of team control;
Local team control execution module, analyze with the team control and kept in communication connection by Internet of Things between computing module, use In the group control algorithm that execution is drawn by team control analysis computing module;
Elevator controlling module, the elevator different from elevator group are correspondingly arranged, and analyze computing module with the team control Between kept in communication connection by Internet of Things, analyze computing module for the car movement data to be uploaded into the team control.
On the other hand, the embodiment of the present invention additionally provides a kind of Multi-objective Elevator Group Control method, and methods described includes:
Obtain the car movement data of different elevators in elevator group;
Analysis calculating is carried out to the car movement data in cloud computing center, to obtain carrying out elevator the group of team control Control algorithm;
The group control algorithm is issued to elevator local;
Elevator is controlled according to the group control algorithm.
Multi-objective Elevator Group Control system and method provided in an embodiment of the present invention, by point for completing group control algorithm beyond the clouds Analysis so that local team control plate constantly updates caused exploitation dimension to the less demanding of hardware configuration so as to reduce hardware configuration Protect cost.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, of the invention is other Feature, objects and advantages will become more apparent upon:
Fig. 1 is the structure chart for the Multi-objective Elevator Group Control system that first embodiment of the invention provides;
Fig. 2 is the flow chart for the Multi-objective Elevator Group Control method that second embodiment of the invention provides;
Fig. 3 is the flow chart that analysis calculates operation in the Multi-objective Elevator Group Control method that third embodiment of the invention provides.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that in order to just Part related to the present invention rather than entire infrastructure are illustrate only in description, accompanying drawing.
First embodiment
Present embodiments provide a kind of technical scheme of Multi-objective Elevator Group Control system.
Referring to Fig. 1, the Multi-objective Elevator Group Control system includes:The team control analysis being deployed in cloud computing center calculates mould Block 11, and it is deployed in elevator group local local team control execution module 12 and elevator controlling module 13.
The team control analysis computing module 11 is deployed in long-range cloud computing center.It is with being deployed in elevator group local Communication connection is remain between local team control execution module 12 and elevator controlling module 13.
Due to remain communication connection, the team control point between the elevator controlling module 13 corresponding to each different elevators Analysis computing module 11 can get the car movement data of each elevator uploaded by each elevator controlling module 13.By right The analysis of the above-mentioned car movement data got calculates, and the team control analysis computing module 11 can obtain being more suitable for currently Elevator running situation Elevator Group Control Algorithm.It is connected by the communication between local team control execution module 12, the team control The local team control that obtained Elevator Group Control Algorithm can be issued to elevator group local disposition by analysis computing module 11 performs Module 12, and by the above-mentioned local team control execution module 12 local in elevator group according to above-mentioned Elevator Group Control Algorithm to each elevator Perform actual control.
The car movement data includes:Call terraced information, load-carrying, traffic direction and speed together.
Due to being provided with team control analysis computing module 11 in long-range cloud computing center so that Elevator Group Control Algorithm Generation it is not local in elevator.Moreover, after Elevator Group Control Algorithm generation, the backup of the Elevator Group Control Algorithm is retained in In cloud computing center.When elevator locally needs to update above-mentioned Elevator Group Control Algorithm, the electricity local by being deployed in elevator Terraced control module 13 is downloaded from cloud computing center.So, the main computing resource quilt of team control is performed to elevator group Concentrate in cloud computing center, and only need to maintain the day-to-day operation control of elevator in the local configuration of elevator.Therefore, it is right The exploitation maintenance work of multiple lift control system is migrated to high in the clouds so that the local computing resource of elevator group and development position work Significantly reduce.Thus, the Multi-objective Elevator Group Control system can significantly save multiple lift control system exploitation and safeguard into This.
The number of the local team control execution module 12 is one, and is deployed in the local of elevator group.The local team control The function of execution module 12 is according to the Elevator Group Control Algorithm issued by team control analysis computing module 11 to the elevator Group is controlled.Specifically, the local team control execution module 12 is obtained under it by team control analysis computing module 11 first Electricity ladder group control algorithm, the automatically controlled control module 13 further according to Elevator Group Control Algorithm control corresponding to each different elevators Perform above-mentioned Elevator Group Control Algorithm.
Because the backup of the Elevator Group Control Algorithm in the local team control execution module 12 is from being deployed in cloud computing What intracardiac team control analysis computing module 11 was downloaded and performed in real time, itself simultaneously need not carry out the Elevator Group Control Algorithm of complexity Deduction.Therefore, the local team control execution module 12 and need not be equipped with powerful computing system, it is only necessary to be able to maintain that The normal operation of Elevator Group Control Algorithm.Therefore, have in the local team control execution module 12 that elevator group is locally located Computing resource is relatively limited.
Also kept in communication between the elevator controlling module 13 and the local team control execution module 12 connection.By with institute The communication connection between local team control execution module 12 is stated, the elevator controlling module 13 is in the local team control execution module 12 Control under, the Elevator Group Control Algorithm is performed to its corresponding elevator.
It is further preferred that the Multi-objective Elevator Group Control system also includes:First communication module 14 and the second communication mould Block 15.
First communication module 14 is used to maintain the team control analysis computing module 11 to perform mould with the local team control Communication connection between block 12.Also, first communication module 14 can be wire communication module, can also be wireless telecommunications Module.
Second communication module 15 is used to ensure the team control analysis computing module 11 and the elevator controlling module 13 Between communication connection.Identical with first communication module 14, second communication module 15 can also be wire communication mould Block, or wireless communication module.
It is further preferred that the Multi-objective Elevator Group Control system also includes:Serial calling module 16.
The number of the serial calling module 16 is identical with the elevator number in elevator group.That is, described serially call together It is identical with the elevator controlling module 13 to call out module 16, corresponds to different elevator settings.Also, the serial calling mould Connected between the elevator controlling module 13 of 16 corresponding elevator of block by serial line interface.By above-mentioned serial line interface, the string Row calling module 16 transmits the car movement data of elevator to corresponding elevator controlling module 13, and by the elevator control Molding block 13 continues to be uploaded to the team control analysis computing module 11, so as to which the car movement data is used for into the elevator group Control the generation of algorithm.Included in the car movement data and call terraced information together.
Local group is locally located in elevator group by setting team control to analyze computing module in cloud computing center in the present embodiment Control execution module and the elevator controlling module corresponding to different elevators so that the main computing resource of group control system is migrated to cloud End, the local computing resource of elevator group is less, so that the exploitation and maintenance work of multiple lift control system are concentrated beyond the clouds, greatly Big exploitation and the maintenance cost for saving multiple lift control system.
Second embodiment
Present embodiments provide a kind of technical scheme of Multi-objective Elevator Group Control method.Specifically, the multiple target elevator The Multi-objective Elevator Group Control system that group control method is provided by first embodiment of the invention performs.
Referring to Fig. 2, the Multi-objective Elevator Group Control method includes:
S21, obtain the car movement data of different elevators in elevator group.
The car movement data includes:Call terraced information, load-carrying, traffic direction and speed together.
The acquisition of above-mentioned car movement data is the network connection between the computing resource local by being deployed in elevator Complete.Specifically, collect the car movement data by being deployed in the local computing resource of elevator.Above-mentioned data collection action After completion, by the network connection between cloud computing center, the local computing resource of elevator that is deployed in is by above-mentioned electricity Terraced service data is uploaded to cloud computing center.
S22, analysis calculating is carried out to the car movement data in cloud computing center, to obtain carrying out team control to elevator Group control algorithm.
Analysis to the car movement data calculates, and main purpose is to extract the car movement data by analyzing Feature, so as to the data characteristics according to the car movement data, customize the group control algorithm for being adapted to current operating situation.
For example found by the analysis to the car movement data, the morning nine, came in and went out elevator when ten on weekdays Flow of the people it is more.It should then improve the speed of service of elevator by adjusting the Elevator Group Control Algorithm, reduce the stop of elevator Time, to increase effective freight volume of elevator in the unit interval.
S23, the group control algorithm is issued to elevator local.
Cloud computing center is calculated by the analysis to car movement data, obtains carrying out elevator group the group control algorithm of team control Afterwards, by the network connection between the local computing resource of elevator group, the group control algorithm generated is issued to elevator It is local.
It should be noted that due to the generation of group control algorithm, that is, analysis to car movement data is calculated not in electricity Terraced group locally executes, then is completed in cloud computing center beyond the clouds.Due to the computing resource Relatively centralized in cloud computing center, And the more exploitations of group control system and maintenance work can be completed only in cloud computing center, so as to greatly reduce to elevator The cost that group control system is developed and safeguarded.
S24, elevator is controlled according to the group control algorithm.
After the group control algorithm is issued into elevator group local, the local computing resource of elevator group is deployed according to acquisition To group control algorithm the elevator in the elevator group is controlled.
The present embodiment is by obtaining the car movement datas of different elevators in elevator group, to the electricity in cloud computing center Terraced service data carries out analysis calculating, has obtained carrying out elevator the group control algorithm of team control, and the group control algorithm is issued to Elevator body, and elevator is controlled according to the group control algorithm so that it is most in multiple lift control system to calculate money Being moved on source in cloud computing center, the exploitation and maintenance work to multiple lift control system are also more completed in cloud computing center, So that exploitation to multiple lift control system and safeguard it is relatively easy, greatly save the exploitation of multiple lift control system and safeguard into This.
3rd embodiment
Present embodiments provide a kind of technical scheme that analysis in Multi-objective Elevator Group Control method calculates operation.In the technology In scheme, analysis calculating is carried out to the car movement data, included with obtaining carrying out elevator the group control algorithm of team control:To institute Car movement data is stated to be weighted averagely;If in the period of predetermined length, to the weighted average of the car movement data Actual result exceed predetermined threshold, perform the parameter adjustment of group control algorithm.
Referring to Fig. 3, analysis calculating is carried out to the car movement data, to obtain carrying out elevator the group control algorithm of team control Including:
S31, the car movement data is weighted average.
Data items subitem different in the car movement data is weighted average.It is noted that each data Weight coefficient corresponding to project and should be one.
S32, if in the period of predetermined length, exceeding in advance to the average weighted actual result of the car movement data Determine threshold value, perform the parameter adjustment of group control algorithm.
In the present embodiment, predetermined threshold is set with to the average weighted actual result.If the weighted average Actual result continuous a period of time, such as, 30 days, beyond the predetermined threshold, then it represents that currently employed group control algorithm with It is not consistent between actual demand for control, it is necessary to carry out parameter adjustment to the group control algorithm.
Parameter adjustment to the group control algorithm can be to weight coefficient carry out adjustment or to the elevator The adjustment of the computational algorithm of different pieces of information project in service data.For example the adjustment to the computational algorithm of different pieces of information project can To be the change to the computational algorithm of average latency.For example, by the computational algorithm of average latency by original arithmetic Averagely it is changed to square mean.
In addition, the adjustment to the group control algorithm can also be according to the operation period, using not in the group control algorithm Same priority principle.Such as in the peak traffic period, it is excellent using efficiency using time priority principle, and in stream of people's rareness period First principle.
So-called time priority principle, it is exactly in the case of other factors identical, pays the utmost attention to perform needed for predetermined action The time factor wanted.And so-called energy efficiency priority principle, then it is predetermined to execution in the case where other factors are equivalent, is paid the utmost attention to The factor of the energy efficiency of action.
The present embodiment is average by being weighted to the car movement data, if in the period of predetermined length, to institute The average weighted actual result for stating car movement data exceeds predetermined threshold, performs the parameter adjustment of group control algorithm, realizes According to the analysis to car movement data, the generation to Elevator Group Control Algorithm.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for those skilled in the art For, the present invention can have various changes and change.All any modifications made within spirit and principles of the present invention, it is equal Replace, improve etc., it should be included in the scope of the protection.

Claims (6)

  1. A kind of 1. Multi-objective Elevator Group Control system, it is characterised in that including:
    Computing module is analyzed in team control, is deployed in cloud computing center, and the car movement data for being uploaded to each elevator is carried out Analysis calculates, to determine to carry out elevator the group control algorithm of team control;
    Local team control execution module, analyze with the team control and kept in communication connection by Internet of Things between computing module, for holding The group control algorithm that row is drawn by team control analysis computing module;
    Elevator controlling module, the elevator different from elevator group are correspondingly arranged, and between team control analysis computing module Kept in communication connection by Internet of Things, computing module is analyzed for the car movement data to be uploaded into the team control;
    The car movement data includes:Call terraced information, load-carrying, traffic direction and speed together;
    The team control analysis computing module is specifically used for:The car movement data is weighted average;If predetermined length In period, predetermined threshold is exceeded to the average weighted actual result of the car movement data, performs the ginseng of group control algorithm Number adjustment;The parameter adjustment of the group control algorithm includes:Change the computational algorithm of average latency.
  2. 2. system according to claim 1, it is characterised in that the team control analysis computing module passes through the first communication module Keep in communication and be connected with the local team control execution module, team control analysis computing module by the second communication module with it is described Elevator controlling module is kept in communication connection.
  3. 3. system according to claim 2, it is characterised in that first communication module is wired or wireless communication mould Block, second communication module are wired or wireless communication module.
  4. 4. system according to claim 1, it is characterised in that also include:
    Serial calling module, is correspondingly arranged from the different elevators in the elevator group, and corresponding with its affiliated elevator described Elevator controlling module is connected in series, and for obtaining the car movement data of affiliated elevator, and the car movement data is transmitted To the corresponding elevator controlling module.
  5. A kind of 5. Multi-objective Elevator Group Control method, it is characterised in that including:
    Obtain the car movement data of different elevators in elevator group;
    Analysis calculating is carried out to the car movement data in cloud computing center, calculated with obtaining carrying out elevator the team control of team control Method;
    The group control algorithm is issued to elevator local;
    Elevator is controlled according to the group control algorithm;
    The car movement data includes:Call terraced information, load-carrying, traffic direction and speed together;
    Analysis calculating is carried out to the car movement data, included with obtaining carrying out elevator the group control algorithm of team control:
    The car movement data is weighted average;
    If in the period of predetermined length, exceeding predetermined threshold to the average weighted actual result of the car movement data, Perform the parameter adjustment of group control algorithm;The parameter adjustment of the group control algorithm includes:Change the computational algorithm of average latency.
  6. 6. according to the method for claim 5, it is characterised in that analysis calculating is carried out to the car movement data, with Also include to the group control algorithm that team control is carried out to elevator:
    According to the operation period, different priority principles is applied in the group control algorithm.
CN201610560879.4A 2016-07-14 2016-07-14 Multi-objective Elevator Group Control system and method Active CN105923476B (en)

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PCT/CN2016/112934 WO2018010381A1 (en) 2016-07-14 2016-12-29 Multi-target elevator group control system and method

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CN105923476B (en) * 2016-07-14 2018-04-10 日立楼宇技术(广州)有限公司 Multi-objective Elevator Group Control system and method
CN107522047B (en) * 2017-07-27 2020-01-10 特斯联(北京)科技有限公司 Intelligent elevator management method and system
US11718499B2 (en) 2018-10-09 2023-08-08 Otis Elevator Company Cloud based elevator dispatching resource management
WO2020136049A1 (en) * 2018-12-24 2020-07-02 Inventio Ag Method and apparatus for commissioning a passenger transportation system
CN112287426B (en) * 2020-09-21 2024-05-17 广东众图科技有限公司 Method and device for adjusting components of building structure and electronic equipment
CN112607531B (en) * 2020-12-10 2023-03-21 上海乾晞信息科技有限公司 Intelligent elevator permission control system and method
CN113173468B (en) * 2021-05-18 2023-05-26 日立楼宇技术(广州)有限公司 Elevator calling method and device and elevator control system
CN113556210B (en) * 2021-07-16 2024-02-27 青岛信芯微电子科技股份有限公司 Upper computer and method for establishing communication connection
CN115258853B (en) * 2022-08-18 2023-10-13 日立楼宇技术(广州)有限公司 Elevator group control system, method, group control server and storage medium
CN115967641B (en) * 2023-03-16 2023-05-30 浙江正泰仪器仪表有限责任公司 Method, device, computer equipment and medium for operating batch equipment parameters

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