CN113844969B - Elevator remote monitoring system - Google Patents
Elevator remote monitoring system Download PDFInfo
- Publication number
- CN113844969B CN113844969B CN202010848438.0A CN202010848438A CN113844969B CN 113844969 B CN113844969 B CN 113844969B CN 202010848438 A CN202010848438 A CN 202010848438A CN 113844969 B CN113844969 B CN 113844969B
- Authority
- CN
- China
- Prior art keywords
- elevator
- unit
- monitoring system
- remote monitoring
- frequency
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
Landscapes
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Selective Calling Equipment (AREA)
Abstract
An elevator remote monitoring system. The invention provides an elevator remote monitoring system capable of collecting elevator data when a fault condition is easy to occur. As a solution, the elevator remote monitoring system comprises: a use frequency calculation unit that calculates the use frequency of the elevator and determines whether or not the value of the use frequency is equal to or greater than a set threshold value; and a collection unit that collects maintenance information from the elevator when the use frequency calculation unit determines that the value of the use frequency is equal to or greater than the threshold value.
Description
Technical Field
The present invention relates to an elevator remote monitoring system.
Background
Documents of the prior art
Patent literature
Patent document 1: japanese patent laid-open publication No. 2018-060383
Disclosure of Invention
Problems to be solved by the invention
However, the elevator remote monitoring system described in patent document 1 does not detect an increase in the number of times the elevator is used. When the number of times of use of the elevator increases, a failure such as abrasion easily occurs. Therefore, data in a situation where a failure is likely to occur is not collected.
The present invention has been made to solve the above problems. The invention aims to provide an elevator remote monitoring system which can collect elevator data under the condition that a fault is easy to occur.
Means for solving the problems
The elevator remote monitoring system of the invention comprises: a use frequency calculation unit that calculates the use frequency of the elevator and determines whether or not the value of the use frequency is equal to or greater than a set threshold value; a collection unit that collects maintenance information from the elevator when the use frequency calculation unit determines that the use frequency value is equal to or greater than the threshold value; and a time zone calculation unit that calculates a high frequency time zone, which is a time zone in which the value of the use frequency calculated by the use frequency calculation unit is equal to or greater than the threshold value, and determines whether or not the time zone is a time immediately before the high frequency time zone.
Effects of the invention
According to the present invention, the collection unit collects the maintenance information from the elevator when the use frequency calculation unit determines that the value of the use frequency is equal to or greater than the threshold value. Therefore, when a failure is likely to occur, data of the elevator can be collected.
Drawings
Fig. 1 is a block diagram of an elevator remote monitoring system according to embodiment 1.
Fig. 2 is a diagram showing an example of contents stored in a storage device of the elevator remote monitoring system according to embodiment 1.
Fig. 3 is a diagram showing an example of an outline of operation of the elevator remote monitoring system operation use frequency according to embodiment 1.
Fig. 4 is a diagram showing an outline of operations performed by the elevator remote monitoring system of embodiment 1 immediately before a high-frequency time period.
Fig. 5 is a flowchart for explaining an outline of operation of the elevator remote monitoring system of embodiment 1 for calculating the use frequency.
Fig. 6 is a flowchart for explaining an outline of operations performed by the elevator remote monitoring system according to embodiment 1 immediately before the high frequency time slot.
Fig. 7 is a hardware configuration diagram of a monitoring server of an elevator remote monitoring system according to embodiment 1.
Description of the reference symbols
1: an elevator; 2: a control unit; 10: an elevator remote monitoring system; 11: a storage device; 12: a monitoring server; 13: a use frequency calculation unit; 14: a time period calculation unit; 15: a collecting section; 16: a prediction unit; 17: a notification unit.
Detailed Description
The mode for carrying out the invention is explained in accordance with the drawings. In the drawings, the same or corresponding portions are denoted by the same reference numerals. Repetitive description of the corresponding parts is appropriately simplified or omitted.
Fig. 1 is a block diagram of an elevator remote monitoring system according to embodiment 1.
In fig. 1, an elevator 1 is installed in a building not shown. The elevator 1 has a control unit 2.
For example, the control unit 2 is provided in a control panel not shown. The control unit 2 is provided to be able to control the operation of the elevator 1.
The elevator remote monitoring system 10 is provided at a place remote from the building where the elevator 1 is provided. For example, the elevator remote monitoring system 10 is installed in a maintenance company of the elevator 1.
The elevator remote monitoring system 10 acquires operation information indicating an operation state of the elevator from the elevator 1. The elevator remote monitoring system 10 is provided to be able to grasp the state of the elevator 1.
The elevator remote monitoring system 10 has a storage device 11 and a monitoring server 12.
The storage device 11 stores use frequency information, use frequency threshold information, high frequency time period information, and previous time information. The threshold value of the frequency of use is registered in advance as an arbitrary value. The previous time is registered in advance with an arbitrary time.
The monitoring server 12 acquires information from the storage device 11. The monitoring server 12 causes the storage device to store information. The monitoring server 12 includes a use frequency calculation unit 13, a time period calculation unit 14, a collection unit 15, a prediction unit 16, and a notification unit 17.
The use frequency calculation unit 13 acquires the operation information from the elevator 1. The use frequency calculation unit 13 acquires use frequency threshold information from the storage device 11.
The use frequency calculation unit 13 calculates the use frequency of the elevator 1 using the operation information. The frequency of use is the number of times the elevator 1 is used per unit time. The unit time is set to an arbitrary time in advance. For example, the use frequency calculation unit 13 calculates the number of times the elevator 1 has performed the ascending movement or the descending movement in the immediately past 1 hour every 1 hour. The use frequency calculation unit 13 uses the calculation result as a use frequency. The use frequency calculation unit 13 stores the use frequency information in the storage device 11.
The use frequency calculation unit 13 uses the threshold value information to determine whether or not the value of the use frequency is equal to or greater than a threshold value. When the value of the use frequency is equal to or greater than the threshold value, the use frequency calculation unit 13 transmits a collection signal.
The time zone calculation unit 14 calculates a high frequency time zone in which the value of the usage frequency is equal to or greater than the threshold value, using the usage frequency information and the threshold value information. The high frequency time zone is a time zone in which the value of the frequency of use is equal to or greater than a threshold value. For example, in 8:00 to 9:00 and 17:00 to 18: when the value of the use frequency between 00 is equal to or greater than the threshold value, the time zone calculation unit 14 sets the high frequency time zone to 8:00 to 9:00 and 17:00 to 18: 00.
When the predetermined time has arrived, the time zone calculation unit 14 updates the high frequency time zone information stored in the storage device 11. For example, the time zone calculation unit 14 becomes 0:00, the high frequency period information stored in the storage device 11 is updated. For example, when the high frequency time slot of the previous day is not stored in the storage device 11, the time slot calculation unit 14 causes the storage device 11 to store the high frequency time slot information. For example, when the high frequency time slot stored in the storage device 11 is not included in the high frequency time slot of the previous day, the time slot calculation unit 14 deletes the information of the high frequency time slot, which is stored in the storage device 11, from the storage device 11.
The time zone calculation unit 14 determines whether or not the time is a time immediately before the high-frequency time zone using the high-frequency time zone information and the previous time information. The previous time information indicates a time that is considered to be immediately before the high-frequency period a few minutes before the start time of the high-frequency period. The time immediately before the high frequency period is a time advanced by a previous time with respect to the start time of the high frequency period. For example, the information of the previous time is 5 minutes. For example, in the high frequency period, 8:00 to 9:00, and when the previous time information is 5 minutes, the time zone calculation unit 14 compares 7:55 determines that it is a time immediately before the high frequency band. When it is a time immediately before the high-frequency time zone, the time zone calculation unit 14 transmits the collected signal.
When the use frequency calculation unit 13 transmits the collection signal, the collection unit 15 receives the collection signal from the use frequency calculation unit 13. When the time zone calculation unit 14 transmits the collection signal, the collection unit 15 receives the collection signal from the time zone calculation unit 14.
Upon receiving the collection signal, the collection unit 15 collects maintenance information from the elevator 1. The maintenance information includes information required for predicting elevator failure. The maintenance information includes, for example, operation information and state information of the elevator car such as the car position, car speed, the number of times the elevator car moves, and car weight of the elevator, which are not shown. The maintenance information includes, for example, operation information and status information of machinery that runs the elevator, such as a hoisting machine and a guide rail of the elevator, not shown.
The prediction unit 16 acquires the maintenance information from the collection unit 15. The prediction unit 16 predicts a failure of the elevator 1. The prediction unit 16 determines whether or not a failure of the elevator 1 is predicted in the failure prediction. For example, when the total number of movements of the car exceeds a predetermined number, the prediction unit 16 determines that the components related to the movement of the car are being consumed. For example, the prediction unit 16 determines that the failure of the elevator 1 is predicted when the total number of movements of the car exceeds a predetermined number. The predetermined number of times is set in advance.
When predicting a failure, the prediction unit 16 generates failure prediction information.
When the prediction unit 16 generates the failure prediction information, the notification unit 17 acquires the failure prediction information from the prediction unit 16. When the failure prediction information is acquired, the notification unit 17 transmits the failure prediction information to the control unit 2.
For example, the control unit 2 performs control to suppress the use of the elevator by the user when the failure prediction information is received. For example, the control unit 2 stops the operation of the elevator upon receiving the failure prediction information. For example, when receiving the failure prediction information, the control unit 2 reports the failure prediction information to the user. For example, when failure prediction information on an arbitrary car is received, the control unit 2 does not assign the car to the car.
Next, an example of an operation of the elevator remote monitoring system 10 for predicting a failure will be described with reference to fig. 2 to 4.
Fig. 2 is a diagram showing an example of contents stored in a storage device of the elevator remote monitoring system according to embodiment 1. Fig. 3 is a diagram showing an outline of operation of the elevator remote monitoring system operation use frequency according to embodiment 1. Fig. 4 is a diagram showing an example of an outline of operations performed by the elevator remote monitoring system according to embodiment 1 immediately before a high-frequency time zone.
As shown in fig. 2, the storage device 11 stores various information in the form of a table, for example. The items on the left side of the table correspond to the values on the right side of the table.
In the example, the unit time is 1 hour. The threshold value of the frequency of use is n times. The high frequency period is 8:00 to 9:00 and 17:00 to 18: 00. Regarding the update period of the time period, the date update time is 0:00. the preceding time was 5 minutes. Therefore, the timing immediately before the high frequency period is the timing 5 minutes before the high frequency period.
Fig. 3 shows an example of a case where the value of the frequency of use is equal to or greater than the threshold value.
In (1) of fig. 3, the frequency of use is 7:00 to 8: more than n times between 00. The users are at 7:05 for the first use. The users are at 7: after 05, the product is used for a plurality of times. The users are at 7:55 for the nth use.
In fig. 3 (2), the use frequency calculation unit 13 calculates the use frequency every 1 hour. The use frequency calculation unit 13 determines that the value of the use frequency is equal to or more than the threshold n times.
In fig. 3 (3), the collection unit 15 collects data of the elevator 1.
In fig. 3 (4), the prediction unit 16 performs failure prediction. In fig. 3 (4), the prediction unit 16 determines that the failure of the elevator 1 is predicted.
In fig. 3 (5), the notification unit 17 transmits the failure prediction information of the elevator to the control unit 2.
Fig. 4 shows an example of the case where the time immediately before the high-frequency time slot is reached.
In fig. 4 (1), the time zone calculation unit 14 calculates the time zone between the date of the alternate 0:00 updates the high frequency period information of the storage means 11.
For example, the high frequency time period is from 8:00 to 9: a time period between 00. In the elevator 1, it is assumed that the frequency of use is from 8:00 begins to increase.
In fig. 4 (2), the time zone calculation unit 14 determines that 7: and 55 is the time immediately before the high frequency period. In 7, the time zone calculation unit 14: 55 sends a collect signal.
In fig. 4 (3), the collection unit 15 collects data of the elevator 1.
In fig. 4 (4), the prediction unit 16 performs failure prediction. In fig. 4 (4), the prediction unit 16 determines that the failure of the elevator 1 is predicted.
In fig. 4 (5), the notification unit 17 transmits the failure prediction information of the elevator to the control unit 2.
Next, an operation of the elevator remote monitoring system 10 for calculating the frequency of use of the elevator 1 will be described with reference to fig. 5.
Fig. 5 is a flowchart for explaining an outline of an operation of the elevator remote monitoring system according to embodiment 1 with respect to the operation frequency.
For example, the elevator remote monitoring system 10 starts an operation of calculating the usage frequency every 1 hour.
In step S01, the use frequency calculation unit 13 calculates the use frequency of the elevator 1 using the operation information. The use frequency calculation unit 13 stores the use frequency information in the storage device 11.
Then, the operation of step S02 is performed. In step S02, the use frequency calculation unit 13 determines whether or not the value of the use frequency is equal to or greater than a threshold value, using the threshold value information.
When it is determined in step S02 that the value of the usage frequency is equal to or greater than the threshold value, the operation of step S03 is performed. In step S03, the use frequency calculation unit 13 transmits a collection signal. The collection unit 15 receives the collection signal from the use frequency calculation unit 13. The collecting unit 15 acquires maintenance information from the elevator 1.
Then, the operation of step S04 is performed. In step S04, the prediction unit 16 acquires the maintenance information from the collection unit 15. The prediction unit 16 predicts a failure of the elevator 1.
Then, the operation of step S05 is performed. In step S05, the prediction unit 16 determines whether or not a failure of the elevator 1 is predicted.
When it is determined in step S05 that the failure of the elevator 1 is predicted, the operation of step S06 is performed. In step S06, the prediction unit 16 generates failure prediction information. The notification unit 17 acquires the failure prediction information. The notification unit 17 notifies the failure prediction information.
Then, the elevator remote monitoring system 10 ends the processing.
When the value of the frequency of use is smaller than the threshold value in step S02 or when it is not determined in step S05 that the failure of the elevator 1 is predicted, the elevator remote monitoring system 10 ends the process.
Next, an operation of the elevator remote monitoring system 10 for predicting a failure immediately before the high frequency time zone will be described with reference to fig. 6.
Fig. 6 is a flowchart for explaining an outline of an operation performed by the elevator remote monitoring system according to embodiment 1 immediately before a high-frequency time slot.
In step S11, the time zone calculation unit 14 determines whether or not the time is immediately before the high-frequency time zone.
When it is determined in step S11 that the time is immediately before the high frequency band, the operation of step S12 is performed. In step S12, the time zone calculation unit 14 transmits a collection signal. The collection unit 15 receives the collection signal from the time zone calculation unit 14. The collecting unit 15 acquires maintenance information from the elevator 1.
Then, the operation of step S13 is performed. In step S13, the prediction unit 16 acquires maintenance information from the collection unit 15. The prediction unit 16 predicts a failure of the elevator 1.
Then, the operation of step S14 is performed. In step S14, the prediction unit 16 determines whether or not a failure of the elevator 1 is predicted.
When it is determined in step S14 that the failure of the elevator 1 is predicted, the operation of step S15 is performed. In step S15, the prediction unit 16 generates failure prediction information. The notification unit 17 acquires the failure prediction information. The notification unit 17 transmits the failure prediction information to the control unit 2.
Then, the elevator remote monitoring system 10 ends the processing.
When it is determined in step S11 that the value of the frequency of use is smaller than the threshold value or it is not determined in step S14 that the failure of the elevator 1 is predicted, the elevator remote monitoring system 10 ends the processing.
According to embodiment 1 described above, the elevator remote monitoring system 10 includes the use frequency calculation unit 13 and the collection unit 15. The use frequency calculation unit 13 calculates the use frequency of the elevator 1. The collection unit 15 collects maintenance information from the elevator 1 when the use frequency calculation unit 13 determines that the value of the use frequency is equal to or greater than the threshold value. Therefore, the elevator remote monitoring system 10 can detect a situation in which the frequency of use is high. The elevator remote monitoring system 10 can collect data of the elevator 1 when the frequency of use is high. When the frequency of use is high, a failure due to wear, aging, or the like of the component is likely to occur. As a result, the elevator remote monitoring system 10 can collect elevator data when a failure is likely to occur.
The elevator remote monitoring system 10 further includes a time zone calculation unit 14. The time zone calculation unit 14 calculates a high frequency time zone. The high frequency time zone is a time zone in which the value of the frequency of use is equal to or greater than a threshold value. The time zone calculation unit 14 determines whether or not the time is immediately before the high-frequency time zone. The collecting unit 15 collects data of the elevator 1 when the time zone calculating unit 14 determines that the time is immediately before the high-frequency time zone. Thus, the elevator remote monitoring system 10 is able to collect data of the elevator 1 at a point in time immediately before the use is concentrated.
The elevator remote monitoring system 10 further includes a prediction unit 16. When the collection unit 15 collects the data, the prediction unit 16 predicts a failure using the maintenance information. Therefore, the elevator remote monitoring system 10 can promptly predict a failure due to component aging. The elevator remote monitoring system 10 is able to confirm the safety of the car at a point in time immediately before the use is to be concentrated.
The elevator remote monitoring system 10 further includes a notification unit 17. When the prediction unit 16 determines that a failure of the elevator is predicted, the notification unit 17 transmits failure prediction information to the control unit 2 as a notification indicating that a failure is predicted. Therefore, the situation in which the elevator predicted to have a failure is used can be suppressed.
The use frequency may be a frequency indicating the number of times the elevator is used, and may not be the calculation method described in embodiment 1. For example, the frequency of use is a simple moving average per unit time of the number of times the elevator is used. For example, the use frequency calculation unit 13 calculates the number of uses of the elevator in the immediately past 1 hour every 15 minutes. The use frequency calculation unit 13 uses the calculation result as a use frequency.
The threshold used by the use frequency calculation unit 13 may be a value different from the threshold used by the time zone calculation unit 14. For example, the use frequency calculation unit 13 determines whether or not the value of the use frequency is equal to or greater than the 1 st threshold. For example, the time zone calculation unit 14 calculates a time zone in which the usage frequency is equal to or greater than the 2 nd threshold value.
The method of predicting a failure by the prediction unit 16 is not limited to a method of determining that a component associated with the movement of the car is being consumed when the total number of movements of the car exceeds a predetermined number of times. The prediction unit 16 predicts the failure of the plurality of devices related to the elevator 1 using the maintenance information.
The notification unit 17 is not limited to the control unit 2. For example, the notification unit 17 transmits a notification indicating that a failure is predicted to a mobile terminal held by the user.
Next, an example of an apparatus constituting the monitoring server 12 will be described with reference to fig. 7.
Fig. 7 is a hardware configuration diagram of a monitoring server of an elevator remote monitoring system according to embodiment 1.
The functions of the monitoring server 12 may be implemented by processing circuitry. For example, the processing circuitry includes at least one processor 100a and at least one memory 100b. For example, the processing circuitry includes at least one dedicated hardware 200.
In the case of a processing circuit having at least one processor 100a and at least one memory 100b, the functions of the monitoring server 12 are implemented in software, firmware, or a combination of software and firmware. At least one of the software and the firmware is described as a program. At least one of the software and firmware is stored in the at least one memory 100b. The at least one processor 100a realizes the functions of the monitoring server 12 by reading out and executing programs stored in the at least one memory 100b. The at least one processor 100a is also referred to as a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP. For example, the at least one memory 100b is a nonvolatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, a DVD, or the like.
In case the processing circuit is provided with at least one dedicated hardware 200, the processing circuit is for example realized by a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA or a combination thereof. For example, the respective functions of the monitoring server 12 are realized by processing circuits, respectively. For example, the functions of the monitoring server 12 are collectively realized by a processing circuit.
The functions of the monitoring server 12 may be partially implemented by dedicated hardware 200, and the other parts may be implemented by software or firmware. For example, the function of the collecting unit 15 may be realized by a processing circuit as dedicated hardware 200, and the function other than the function of the collecting unit 15 may be realized by at least one processor 100a reading and executing a program stored in at least one memory 100b.
In this manner, the processing circuitry implements the functions of the monitoring server 12 via hardware 200, software, firmware, or a combination thereof.
Although not shown, the functions of the storage device 11 are also realized by a processing circuit equivalent to the processing circuit that realizes the functions of the monitoring server 12.
Claims (3)
1. An elevator remote monitoring system, comprising:
a use frequency calculation unit that calculates the use frequency of the elevator and determines whether or not the value of the use frequency is equal to or greater than a set threshold value;
a collection unit that collects maintenance information from the elevator when the use frequency calculation unit determines that the value of the use frequency is equal to or greater than the threshold value; and
a time zone calculation unit that calculates a high frequency time zone, which is a time zone in which the value of the usage frequency calculated by the usage frequency calculation unit is equal to or greater than the threshold value, and determines whether or not the time zone is a time immediately before the high frequency time zone,
the collecting unit collects maintenance information from the elevator when the time zone calculating unit determines that the time zone is a time immediately before the high frequency time zone.
2. The elevator remote monitoring system according to claim 1,
the elevator remote monitoring system is provided with a prediction unit which predicts a failure of the elevator by using the maintenance information and determines whether or not the failure of the elevator is predicted when the collection unit collects the maintenance information.
3. The elevator remote monitoring system according to claim 2,
the elevator remote monitoring system is provided with a notification unit that transmits a notification indicating that a failure is predicted to a control unit of the elevator when the prediction unit determines that a failure of the elevator is predicted.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020-109662 | 2020-06-25 | ||
| JP2020109662A JP6806282B1 (en) | 2020-06-25 | 2020-06-25 | Elevator remote monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113844969A CN113844969A (en) | 2021-12-28 |
| CN113844969B true CN113844969B (en) | 2022-12-02 |
Family
ID=73992798
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010848438.0A Active CN113844969B (en) | 2020-06-25 | 2020-08-21 | Elevator remote monitoring system |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP6806282B1 (en) |
| CN (1) | CN113844969B (en) |
| TW (1) | TWI775270B (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05162934A (en) * | 1991-12-16 | 1993-06-29 | Hitachi Building Syst Eng & Service Co Ltd | Control system for elevator |
| CN101291866A (en) * | 2005-11-10 | 2008-10-22 | 东芝电梯株式会社 | Elevator remote monitor system |
| CN101362568A (en) * | 2007-08-10 | 2009-02-11 | 东芝电梯株式会社 | Elevator abnormity diagnostic system |
| JP2011132013A (en) * | 2009-12-25 | 2011-07-07 | Hitachi Ltd | Elevator maintenance system, maintenance terminal device, and method of maintaining elevator |
| CN102951512A (en) * | 2011-08-25 | 2013-03-06 | 株式会社日立制作所 | Control device of control system and elevator system |
| JP2014012605A (en) * | 2013-10-08 | 2014-01-23 | Japan Elevator Service Co Ltd | Remote monitoring support device, remote monitoring system, remote monitoring support program, and remote monitoring program |
| CN104249959A (en) * | 2013-06-28 | 2014-12-31 | 株式会社日立建筑系统 | Elevator Management Device, Elevator Management System And Elevator Management Method |
| CN107555272A (en) * | 2016-07-01 | 2018-01-09 | 株式会社日立制作所 | Elevator device and part replacement period prediction meanss |
| JP2018034920A (en) * | 2016-08-30 | 2018-03-08 | 株式会社日立ビルシステム | Diagnosis system of battery, diagnosis method of battery and elevator |
| CN108483155A (en) * | 2018-04-10 | 2018-09-04 | 深圳市零度智控科技有限公司 | Elevator operation control system, implementation method and background server, storage medium |
| CN110104517A (en) * | 2019-04-16 | 2019-08-09 | 浙江新再灵科技股份有限公司 | Running process of elevator analysis method |
| CN111268529A (en) * | 2020-02-23 | 2020-06-12 | 黄俊龙 | Equipment data exception management system and method based on remote monitoring |
| CN210795418U (en) * | 2019-08-20 | 2020-06-19 | 龙湖物业服务集团有限公司杭州分公司 | Elevator idle time fault automatic detection system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW496414U (en) * | 2001-10-02 | 2002-07-21 | Yung Tay Engineering Co Ltd | Remote monitoring device of elevator |
| JP2013063810A (en) * | 2011-09-15 | 2013-04-11 | Hitachi Building Systems Co Ltd | Elevator monitoring device |
| FI124423B (en) * | 2012-11-05 | 2014-08-29 | Kone Corp | Elevator system which includes a security arrangement for monitoring the electrical safety of an elevator |
| JP6431577B1 (en) * | 2017-08-02 | 2018-11-28 | 東芝エレベータ株式会社 | Elevator monitoring system and test method thereof |
| WO2020016913A1 (en) * | 2018-07-17 | 2020-01-23 | 三菱電機ビルテクノサービス株式会社 | Monitoring device and monitoring method for outputting warning information during elevator maintenance work |
-
2020
- 2020-06-25 JP JP2020109662A patent/JP6806282B1/en active Active
- 2020-08-21 CN CN202010848438.0A patent/CN113844969B/en active Active
-
2021
- 2021-01-12 TW TW110101074A patent/TWI775270B/en active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05162934A (en) * | 1991-12-16 | 1993-06-29 | Hitachi Building Syst Eng & Service Co Ltd | Control system for elevator |
| CN101291866A (en) * | 2005-11-10 | 2008-10-22 | 东芝电梯株式会社 | Elevator remote monitor system |
| CN101362568A (en) * | 2007-08-10 | 2009-02-11 | 东芝电梯株式会社 | Elevator abnormity diagnostic system |
| JP2011132013A (en) * | 2009-12-25 | 2011-07-07 | Hitachi Ltd | Elevator maintenance system, maintenance terminal device, and method of maintaining elevator |
| CN102951512A (en) * | 2011-08-25 | 2013-03-06 | 株式会社日立制作所 | Control device of control system and elevator system |
| CN104249959A (en) * | 2013-06-28 | 2014-12-31 | 株式会社日立建筑系统 | Elevator Management Device, Elevator Management System And Elevator Management Method |
| JP2014012605A (en) * | 2013-10-08 | 2014-01-23 | Japan Elevator Service Co Ltd | Remote monitoring support device, remote monitoring system, remote monitoring support program, and remote monitoring program |
| CN107555272A (en) * | 2016-07-01 | 2018-01-09 | 株式会社日立制作所 | Elevator device and part replacement period prediction meanss |
| JP2018034920A (en) * | 2016-08-30 | 2018-03-08 | 株式会社日立ビルシステム | Diagnosis system of battery, diagnosis method of battery and elevator |
| CN108483155A (en) * | 2018-04-10 | 2018-09-04 | 深圳市零度智控科技有限公司 | Elevator operation control system, implementation method and background server, storage medium |
| CN110104517A (en) * | 2019-04-16 | 2019-08-09 | 浙江新再灵科技股份有限公司 | Running process of elevator analysis method |
| CN210795418U (en) * | 2019-08-20 | 2020-06-19 | 龙湖物业服务集团有限公司杭州分公司 | Elevator idle time fault automatic detection system |
| CN111268529A (en) * | 2020-02-23 | 2020-06-12 | 黄俊龙 | Equipment data exception management system and method based on remote monitoring |
Non-Patent Citations (1)
| Title |
|---|
| 一种电梯运行实时监测装置的研制;金栋林等;《湖州职业技术学院学报》;20130925(第03期);68-71+76 * |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022007019A (en) | 2022-01-13 |
| TW202200480A (en) | 2022-01-01 |
| JP6806282B1 (en) | 2021-01-06 |
| CN113844969A (en) | 2021-12-28 |
| TWI775270B (en) | 2022-08-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107771160B (en) | Method for monitoring a transport device, monitoring device, and corresponding storage medium and transport device | |
| CN107531454B (en) | Operation state monitoring device and operation state monitoring method for elevator | |
| CN113844969B (en) | Elevator remote monitoring system | |
| CN112840141B (en) | Elevator brake deterioration prediction system | |
| CN108762118B (en) | Fault processing method and device between communication devices | |
| CN110730199A (en) | Maintenance scheduling based on remote monitoring data and service data analysis | |
| KR102174105B1 (en) | Elevator control unit | |
| US9533857B2 (en) | Elevator group management device | |
| CN110378503B (en) | Method and device for predicting production capacity of multi-layer shuttle shelf | |
| JP2017061365A (en) | Elevator diagnostic system and elevator diagnostic method | |
| CN110312670B (en) | Elevator fault monitoring device, elevator and elevator group management device | |
| CN107545094B (en) | Maintenance work interval determination device for component | |
| WO2017215864A1 (en) | Method for assessing health conditions of industrial equipment | |
| CN113939774A (en) | Task scheduling management device | |
| CN113165831A (en) | System for acquiring information on number of people, method for acquiring information on number of people, and elevator | |
| CN115397759B (en) | Elevator system | |
| CN110844727B (en) | Elevator door sensor fusion, fault detection and service notification | |
| US12072697B2 (en) | Automated device maintenance | |
| JP6403646B2 (en) | Elevator remote monitoring system and elevator remote monitoring method | |
| KR102490052B1 (en) | Elevator system with diagnostic function | |
| CN114502495B (en) | Diagnostic operation adjustment device for adjusting diagnostic operation setting of elevator, monitoring device, and elevator system | |
| WO2018061148A1 (en) | Component replacement interval calculation device and replacement interval calculation method | |
| CN110719885A (en) | Monitoring system for step chain of passenger conveyer belt | |
| JP5788580B1 (en) | Passenger conveyor equipment | |
| KR20180002815A (en) | Recovery information registration device of elevator and recovery information registration method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |