WO2011027463A1 - エレベータ制御装置 - Google Patents

エレベータ制御装置 Download PDF

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Publication number
WO2011027463A1
WO2011027463A1 PCT/JP2009/065509 JP2009065509W WO2011027463A1 WO 2011027463 A1 WO2011027463 A1 WO 2011027463A1 JP 2009065509 W JP2009065509 W JP 2009065509W WO 2011027463 A1 WO2011027463 A1 WO 2011027463A1
Authority
WO
WIPO (PCT)
Prior art keywords
control parameter
elevator
travel
learning function
travel control
Prior art date
Application number
PCT/JP2009/065509
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
敬 湯村
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to CN200980160969.2A priority Critical patent/CN102471013B/zh
Priority to EP09848994.1A priority patent/EP2474495B1/de
Priority to KR1020127004649A priority patent/KR101374415B1/ko
Priority to KR1020137034464A priority patent/KR101553135B1/ko
Priority to PCT/JP2009/065509 priority patent/WO2011027463A1/ja
Priority to JP2011529753A priority patent/JP5289574B2/ja
Publication of WO2011027463A1 publication Critical patent/WO2011027463A1/ja

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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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
    • B66B1/30—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear, e.g. acting on power electronics, on inverter or rectifier controlled motor

Definitions

  • This invention relates to the elevator control apparatus provided with the learning function which updates a travel control parameter according to load.
  • an elevator control device that has a learning function for updating a travel control parameter based on the identification result of the travel state quantity during normal operation after installation of the elevator, and optimizes variable speed drive (see, for example, Patent Document 1). .
  • the traveling control parameter for calculating the speed command value is dynamically adjusted according to the comparison result between the traveling state amount detected during traveling of the car and the threshold value. Yes.
  • the traveling control parameters are automatically adjusted within the allowable capacity range of the driving equipment, and the car can be operated with high efficiency.
  • the prior art has the following problems.
  • the speed command value calculated using the automatically adjusted travel control parameter is accidentally excessive for some reason, or when it becomes an abnormal low speed value or a value corresponding to a stop
  • the corresponding measures were not clear.
  • the validity of the learning algorithm or the state of the elevator apparatus is not determined based on the value of the travel control parameter obtained by the learning function.
  • the present invention has been made to solve the above-described problems, and an object of the present invention is to obtain a high-performance elevator control device by increasing the reliability of learning results in an elevator control device having a learning function. To do.
  • An elevator control apparatus includes a learning function unit that updates a travel control parameter based on a result of identification of a travel state amount during normal operation after installation of an elevator, and performs optimization of variable speed drive If the travel control parameter obtained by the learning function unit is outside the allowable travel control parameter range estimated from the allowable fluctuation rate of the elevator basic device specification value, the elevator service is stopped, or a predetermined It further includes a learning function check unit that performs rated traveling using the traveling control parameter and determines that the learning function unit is normal when the traveling control parameter is within the allowable traveling control parameter range.
  • the elevator control device of the present invention learning is performed in an elevator control device having a learning function by adding the function of judging the validity of the learning function and the state of the elevator device based on the learned parameter value. As a result, the reliability of the results can be increased and a high-performance elevator control device can be obtained.
  • Embodiment 1 is an overall configuration diagram of an elevator apparatus including an elevator control apparatus according to Embodiment 1 of the present invention. It is a flowchart which shows a series of operation
  • FIG. 1 is an overall configuration diagram of an elevator apparatus including an elevator control apparatus according to Embodiment 1 of the present invention.
  • the elevator apparatus shown in FIG. 1 includes a car 1, a counterweight 2, a rope 3, a hoisting machine 4, a deflecting wheel 5 (arranged as necessary), and an elevator control device 10.
  • the elevator control apparatus 10 has the parameter learning part (learning function part) 11 and the learning function check part 12, and was detected at the time of the normal driving
  • the elevator control device 10 of the present invention has a technical feature in that it includes a learning function check unit 12, and this function will be mainly described based on a flowchart.
  • FIG. 2 is a flowchart showing a series of operations of the elevator control apparatus according to Embodiment 1 of the present invention. In the following description, the contents executed by the learning function check unit 12 are also included in the elevator control device 10 and described.
  • the parameter learning unit 11 in the elevator control device 10 stores the basic device specification values of the installed elevator, such as the weight of the counterweight 2, the capacity of the car 1, the lifting process, etc., as basic state quantities after the elevator is installed. Is done.
  • the capacity learning of the installed elevator car 1 and the basic device specification values such as the lifting and lowering process are used as the basic state quantity for the parameter learning unit. 11 is stored.
  • basic device specification values may be stored in the parameter learning unit 11 at the time of factory shipment. In this case, the storage work at the installation site can be eliminated.
  • the basic device specification values are stored on site, it is possible to set the basic state quantity with higher accuracy in accordance with the installation environment.
  • a method may be used in which the basic state quantity is stored at the time of factory shipment and the site is confirmed and corrected after the elevator is installed.
  • step S ⁇ b> 202 the elevator control device 10 learns an initial running state amount such as a driving current by causing the car 1 to perform a prescribed inspection running while the car 1 is unmanned, and stores it in the parameter learning unit 11.
  • the elevator will determine the exact car weight, inertial weight, running resistance, etc. only after it is installed, it will perform inspection running considering the learning results not only in the unmanned state but also in the full load state. It is desirable to learn the running state quantity.
  • step S203 the elevator control apparatus 10 calculates a travel control parameter based on the initial travel state quantity identified in the previous step S202, and the calculated travel control parameter is stored in the previous step S201. It is determined whether or not it is within the allowable travel control parameter range estimated based on the basic state quantity.
  • the elevator control device 10 can estimate a certain allowable traveling control parameter within a certain range from the allowable variation rate of the basic state quantity. Therefore, the elevator control device 10 allows the travel control parameter calculated based on the initial travel state amount obtained by learning during the inspection travel after installation to be within the range of the allowable travel control parameter estimated from the basic state amount. By checking whether or not there is, it is possible to determine the validity of the learning algorithm that calculates the travel control parameter based on the identification result of the travel state quantity in the test travel stage.
  • Patent Document 1 As a learning method of the traveling control parameter based on the traveling state quantity, for example, the method disclosed in Patent Document 1 can be applied.
  • step S203 If the elevator control device 10 determines in step S203 that the travel control parameter calculated based on the initial travel state quantity is outside the allowable travel control parameter range, has any abnormality occurred in the elevator? Alternatively, the elevator service is stopped because the detection algorithm of the travel control parameter is not valid.
  • step S203 when the elevator control device 10 determines in step S203 that the travel control parameter calculated based on the initial travel state quantity is within the allowable travel control parameter range, the elevator is in a normal state, and It is determined that the detection algorithm for the travel control parameter is appropriate. And the elevator control apparatus 10 transfers a process to step S204, and starts a normal elevator service (normal driving
  • a normal elevator service normal driving
  • step S205 the elevator control device 10 learns the travel control parameters during the normal operation during the travel after entering the normal operation.
  • the travel control parameter based on the travel state quantity in step S205 for example, the method disclosed in Patent Document 1 can be applied.
  • step S205 the learning of the travel control parameters in step S205 is not necessarily performed sequentially. For example, it is also possible to obtain the travel pattern from the value of the scale signal based on the travel control parameter based on the initial travel state quantity after installation. In this case, although not as much as sequential identification, since the travel control parameters are identified at the inspection travel stage after installation, the travel control parameters are optimized to some extent, and the algorithm during travel is simplified. There are benefits. It is also conceivable to update the base travel control parameter at every appropriate timing.
  • step S206 the elevator control apparatus 10 determines whether or not each of the traveling control parameters during normal operation identified in the previous step S205 is within a predetermined allowable parameter fluctuation range.
  • the determination method here is the same as in the previous step S203.
  • step S206 determines in step S206 that the travel control parameter is outside the predetermined allowable parameter fluctuation range, whether any abnormality has occurred in the elevator or the travel control parameter detection algorithm is valid. If not, stop the elevator service.
  • the elevator control device 10 can also determine that there is a high possibility that some abnormality has occurred in the elevator.
  • step S206 when an abnormality is determined in step S206, since there is no maintenance staff because it is in normal operation, it is preferable to display, record, or issue a report (operator call) to the maintenance center so that the maintenance staff can understand. .
  • the elevator control device 10 determines that the travel control parameter is outside the predetermined allowable parameter fluctuation range in step S206, the elevator is in normal operation, and instead of immediately stopping the elevator service, The learning function can be disabled and the elevator service can be continued using the specified rated travel control parameters.
  • the prescribed rated travel control parameter is determined in consideration of changes assuming aging, temperature changes, measurement variations, and the like.
  • the elevator control device 10 disables the learning function and performs a test drive in a no-load state (specified rated travel), and there should be no problem with the resulting travel control parameters. For example, the normal operation can be resumed at the specified rated travel while the learning function is disabled.
  • step S206 when it is determined in step S206 that the travel control parameter is within the predetermined allowable parameter fluctuation, the elevator control apparatus 10 determines that the elevator is in a normal state and the travel control parameter learning result is also correct. . And the elevator control apparatus 10 continues an appropriate normal driving
  • the traveling control parameters are automatically adjusted within the allowable driving equipment capability range, and the car can be operated with high efficiency.
  • step S207 the elevator control device 10 determines whether or not the validity of the learning function of the traveling control parameter should be determined by performing the inspection traveling in a no-load state periodically at a predetermined interval.
  • This inspection traveling can be realized, for example, by performing a midnight maintenance mode operation, and the validity of the learning function of the traveling control parameter can be determined reliably in a no-load state.
  • step S208 the elevator control device 10 performs the inspection travel and learns the travel control parameters in the no-load state.
  • a learning method of the travel control parameter based on the travel state quantity in step S208 for example, the method disclosed in Patent Document 1 can be applied.
  • step S209 the elevator control device 10 determines the validity of the learning result of the travel control parameter identified in the previous step S208.
  • a determination method based on whether or not the vehicle travels within the allowable travel control parameter range is applied, similar to step S203 or step S206 above. it can.
  • another determination method it is also possible to determine whether or not the initial travel control parameter calculated before entering the normal operation in the previous step S202 is more than a predetermined value.
  • This inspection traveling may or may not be performed during regular maintenance.
  • regular maintenance maintenance personnel can check directly, so it can be done more reliably.
  • the previous steps S201 to S203 are performed again, and the maintenance staff may judge an abnormality in the elevator apparatus from the values of the basic state quantity and the allowable travel control parameter range, or update those values. Conceivable.
  • inspection running and confirmation of learning results may be performed remotely via a network.
  • the inspection frequency can be increased, the reliability of the learning result can be increased, and the inspection cost can be reduced.
  • the validity of the detection result of the learning algorithm can be confirmed, and hardware problems of the elevator apparatus can be predicted. Furthermore, when it is determined that the learning result is not valid, the elevator service is stopped or the mode is shifted to the rated travel mode, and the operator can be notified that maintenance is necessary.
  • the maximum speed and acceleration that can be output are accurately determined based on the learning result performed after installation in the field, which is different from the value at the shipping stage. It can happen. Therefore, it is conceivable that elevator safety devices such as emergency stops, buffers, and speed governors should be installed at the highest possible speed and acceleration. Thus, installation is simplified by defining the elevator safety device based on the maximum rating without depending on the learning result.
  • the application to the government office should also be made based on the maximum speed, and the application related to the governor should be made at the maximum speed, and based on the travel control parameters initially learned at the time of elevator installation, for example, the governor
  • the setting of the governor may be changed so as to operate at a lower speed, such as by replacing the spring. In this case, a speed abnormality can be detected at a lower speed more practically, and the abnormal state detection function is improved.
  • the validity of the learning algorithm and the state of the elevator apparatus can be determined based on the learned parameter values. Further, the validity of the learning algorithm can be verified at the inspection running stage before entering normal operation, the stage during normal operation, the stage of midnight maintenance mode operation, and the periodic inspection stage by maintenance personnel. As a result, in the elevator control device having a learning function, the reliability of the learning result can be increased and a high-performance elevator control device can be obtained.

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Elevator Control (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)
PCT/JP2009/065509 2009-09-04 2009-09-04 エレベータ制御装置 WO2011027463A1 (ja)

Priority Applications (6)

Application Number Priority Date Filing Date Title
CN200980160969.2A CN102471013B (zh) 2009-09-04 2009-09-04 电梯控制装置
EP09848994.1A EP2474495B1 (de) 2009-09-04 2009-09-04 Aufzugsteuerungsvorrichtung
KR1020127004649A KR101374415B1 (ko) 2009-09-04 2009-09-04 엘리베이터 제어장치
KR1020137034464A KR101553135B1 (ko) 2009-09-04 2009-09-04 엘리베이터 제어장치
PCT/JP2009/065509 WO2011027463A1 (ja) 2009-09-04 2009-09-04 エレベータ制御装置
JP2011529753A JP5289574B2 (ja) 2009-09-04 2009-09-04 エレベータ制御装置

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2009/065509 WO2011027463A1 (ja) 2009-09-04 2009-09-04 エレベータ制御装置

Publications (1)

Publication Number Publication Date
WO2011027463A1 true WO2011027463A1 (ja) 2011-03-10

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PCT/JP2009/065509 WO2011027463A1 (ja) 2009-09-04 2009-09-04 エレベータ制御装置

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EP (1) EP2474495B1 (de)
JP (1) JP5289574B2 (de)
KR (2) KR101374415B1 (de)
CN (1) CN102471013B (de)
WO (1) WO2011027463A1 (de)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012160888A1 (ja) * 2011-05-20 2012-11-29 三菱電機株式会社 エレベーター装置
CN104098004A (zh) * 2013-04-07 2014-10-15 上海三菱电梯有限公司 电梯控制方法及装置
JP2021109737A (ja) * 2020-01-10 2021-08-02 株式会社日立製作所 エレベーター制御装置及びエレベーター制御方法

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107207188B (zh) * 2014-12-29 2021-02-12 奥的斯电梯公司 维持系统性能的系统与方法
WO2018158601A1 (en) 2017-03-01 2018-09-07 Omron Corporation Monitoring devices, monitored control systems and methods for programming such devices and systems
WO2024056930A1 (en) * 2022-09-12 2024-03-21 Kone Corporation A method, an elevator computing unit, and a load estimation system for producing load data of an elevator car of an elevator system

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JPS56351B2 (de) * 1975-11-10 1981-01-07
WO2005092764A1 (ja) * 2004-03-29 2005-10-06 Mitsubishi Denki Kabushiki Kaisha エレベータ制御装置
JP2008114931A (ja) * 2006-10-31 2008-05-22 Toshiba Elevator Co Ltd エレベータのドア制御装置
JP2009149425A (ja) 2007-12-21 2009-07-09 Mitsubishi Electric Corp エレベータ制御装置

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US4373612A (en) * 1980-11-25 1983-02-15 Westinghouse Electric Corp. Elevator system
JPH075231B2 (ja) * 1989-05-19 1995-01-25 三菱電機株式会社 エレベーターの制御用動作仕様設定装置
JPH0751428B2 (ja) * 1989-09-01 1995-06-05 フジテック株式会社 エレベータ制御装置
JPH0449181A (ja) * 1990-06-15 1992-02-18 Mitsubishi Electric Corp エレベータの群管理制御装置
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FI102884B1 (fi) * 1995-12-08 1999-03-15 Kone Corp Menetelmä ja laitteisto hissin toimintojen analysoimiseksi
JP4987482B2 (ja) * 2005-11-14 2012-07-25 三菱電機株式会社 エレベータの制御装置
KR20060129506A (ko) * 2006-09-25 2006-12-15 미쓰비시덴키 가부시키가이샤 엘리베이터 제어 장치

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Publication number Priority date Publication date Assignee Title
JPS56351B2 (de) * 1975-11-10 1981-01-07
WO2005092764A1 (ja) * 2004-03-29 2005-10-06 Mitsubishi Denki Kabushiki Kaisha エレベータ制御装置
JP2008114931A (ja) * 2006-10-31 2008-05-22 Toshiba Elevator Co Ltd エレベータのドア制御装置
JP2009149425A (ja) 2007-12-21 2009-07-09 Mitsubishi Electric Corp エレベータ制御装置

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012160888A1 (ja) * 2011-05-20 2012-11-29 三菱電機株式会社 エレベーター装置
JP5634603B2 (ja) * 2011-05-20 2014-12-03 三菱電機株式会社 エレベーター装置
CN104098004A (zh) * 2013-04-07 2014-10-15 上海三菱电梯有限公司 电梯控制方法及装置
CN104098004B (zh) * 2013-04-07 2015-10-28 上海三菱电梯有限公司 电梯控制方法及装置
JP2021109737A (ja) * 2020-01-10 2021-08-02 株式会社日立製作所 エレベーター制御装置及びエレベーター制御方法
JP7157772B2 (ja) 2020-01-10 2022-10-20 株式会社日立製作所 エレベーター制御装置及びエレベーター制御方法

Also Published As

Publication number Publication date
KR101553135B1 (ko) 2015-09-14
EP2474495A4 (de) 2016-01-13
EP2474495B1 (de) 2017-08-30
KR20140021037A (ko) 2014-02-19
KR20120046278A (ko) 2012-05-09
CN102471013A (zh) 2012-05-23
CN102471013B (zh) 2014-03-12
KR101374415B1 (ko) 2014-03-17
EP2474495A1 (de) 2012-07-11
JP5289574B2 (ja) 2013-09-11
JPWO2011027463A1 (ja) 2013-01-31

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