JP6806282B1 - Elevator remote monitoring system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an elevator remote monitoring system capable of collecting elevator data when a situation is likely to occur. An elevator remote monitoring system has an elevator usage frequency calculation unit that calculates the usage frequency of an elevator and determines whether or not the usage frequency value is equal to or higher than a set threshold value, and the usage frequency calculation unit. When it is determined that the value of the frequency of use is equal to or higher than the threshold value, a collecting unit for collecting maintenance information from the elevator is provided. [Selection diagram] Fig. 2

Description

The present disclosure relates to an elevator remote monitoring system.

Patent Document 1 discloses an elevator remote monitoring system. The elevator remote monitoring system collects elevator data when the user is not using the elevator or when the set date and time arrives.

JP-A-2018-060383

However, the elevator remote monitoring system described in Patent Document 1 does not detect that the number of times the elevator has been used has increased. Elevators are prone to failure such as wear when the number of times they are used increases. For this reason, data is not collected when a failure is likely to occur.

The present disclosure has been made to solve the above-mentioned problems. An object of the present disclosure is to provide an elevator remote monitoring system capable of collecting elevator data in the event of a failure-prone situation.

The elevator remote monitoring system according to the present disclosure includes a usage frequency calculation unit that calculates the usage frequency of the elevator and determines whether or not the usage frequency value is equal to or higher than a set threshold, and the usage frequency calculation unit. When it is determined that the value of the usage frequency is equal to or higher than the threshold value, the collection unit that collects maintenance information from the elevator and the time zone in which the value of the usage frequency calculated by the usage frequency calculation unit becomes equal to or higher than the threshold value. A time zone calculation unit that calculates a high frequency time zone and determines whether or not the time is immediately before the high frequency time zone is provided, and the collection unit is the high frequency calculation unit in the time zone calculation unit. If it is determined that the time is immediately before the time zone, maintenance information is collected from the elevator .

According to the present disclosure, the collecting unit collects maintenance information from the elevator when the frequency of use calculation unit determines that the value of the frequency of use is equal to or greater than the threshold value. Therefore, elevator data can be collected when a failure is likely to occur.

It is a block diagram of the elevator remote monitoring system in Embodiment 1. It is a figure which shows the example of the content which the storage device of the elevator remote monitoring system in Embodiment 1 stores. It is a figure which shows the example of the outline of the operation which the elevator remote monitoring system in Embodiment 1 calculates the frequency of use. It is a figure which shows the example of the outline of the operation performed immediately before the high frequency time zone by the elevator remote monitoring system in Embodiment 1. It is a flowchart for demonstrating the outline of the operation of calculating the frequency of use of the elevator remote monitoring system in Embodiment 1. It is a flowchart for demonstrating the outline of the operation performed just before the high frequency time zone by the elevator remote monitoring system in Embodiment 1. FIG. FIG. 5 is a hardware configuration diagram of a monitoring server of the elevator remote monitoring system according to the first embodiment.

A mode for carrying out the present disclosure will be described with reference to the accompanying drawings. In each figure, the same or corresponding parts are designated by the same reference numerals. The duplicate description of the relevant part will be simplified or omitted as appropriate.

Embodiment 1.
FIG. 1 is a block diagram of the elevator remote monitoring system according to the first embodiment.

In FIG. 1, the elevator 1 is provided in a building (not shown). The elevator 1 includes a control unit 2.

For example, the control unit 2 is provided on a control panel (not shown). The control unit 2 is provided so as to be able to control the operation of the elevator 1.

The elevator remote monitoring system 10 is provided at a location away from the building in which the elevator 1 is provided. For example, the elevator remote monitoring system 10 is provided in the maintenance company of the elevator 1.

The elevator remote monitoring system 10 acquires operation information indicating the operating state of the elevator from the elevator 1. The elevator remote monitoring system 10 is provided so that the state of the elevator 1 can be grasped.

The elevator remote monitoring system 10 includes a storage device 11 and a monitoring server 12.

The storage device 11 stores information on the frequency of use, information on the threshold value of the frequency of use, information on the high frequency time zone, and information on the immediately preceding time. An arbitrary value is registered in advance for the threshold value of the frequency of use. Arbitrary time is registered in advance as the immediately preceding time.

The monitoring server 12 acquires information from the storage device 11. The monitoring server 12 stores information in a storage device. The monitoring server 12 includes a frequency calculation unit 13, a time zone calculation unit 14, a collection unit 15, a prediction unit 16, and a notification unit 17.

The frequency of use calculation unit 13 acquires operation information from the elevator 1. The usage frequency calculation unit 13 acquires information on the usage frequency threshold value from the storage device 11.

The usage frequency calculation unit 13 calculates the usage frequency of the elevator 1 by 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 usage frequency calculation unit 13 calculates the number of times the elevator 1 has moved up or down in the most recent hour every hour. The usage frequency calculation unit 13 uses the calculation result as the usage frequency. The usage frequency calculation unit 13 stores the usage frequency information in the storage device 11.

The usage frequency calculation unit 13 determines whether or not the usage frequency value is equal to or higher than the threshold value by using the threshold information. When the value of the frequency of use is equal to or greater than the threshold value, the frequency of use calculation unit 13 transmits a collection signal.

The time zone calculation unit 14 uses the usage frequency information and the threshold value information to calculate a high frequency time zone in which the usage frequency value is equal to or higher than the threshold value. The high frequency time zone is a time zone in which the value of frequency of use is equal to or higher than the threshold value. For example, when the value of the frequency of use between 8:00 and 9:00 and between 17:00 and 18:00 is equal to or greater than the threshold value, the time zone calculation unit 14 sets the high frequency time zone from 8:00. It is between 9:00 and between 17:00 and 18:00.

When the specified time comes, the time zone calculation unit 14 updates the high-frequency time zone information stored in the storage device 11. For example, when the time reaches 0:00, the time zone calculation unit 14 updates the high-frequency time zone information stored in the storage device 11. For example, when the high frequency time zone of the previous day is not stored in the storage device 11, the time zone calculation unit 14 causes the storage device 11 to store the information of the high frequency time zone. For example, when the high frequency time zone stored in the storage device 11 is not included in the high frequency time zone of the previous day, the time zone calculation unit 14 stores the information of the high frequency time zone stored in the storage device 11. Erase from 11.

The time zone calculation unit 14 uses the information of the high frequency time zone and the information of the immediately preceding time to determine whether or not the time is immediately before the high frequency time zone. The information of the immediately preceding time indicates how many minutes before the time when the high frequency time zone starts is regarded as the time immediately before the high frequency time zone. The time immediately before the high frequency time zone is the time immediately before the start time of the high frequency time zone by the time immediately before. For example, the information of the last time is 5 minutes. For example, when the high frequency time zone is between 8:00 and 9:00 and the information of the immediately preceding time is 5 minutes, the time zone calculation unit 14 sets 7:55 as the time immediately before the high frequency time zone. Is determined to be. When the time is immediately before the high frequency time zone, the time zone calculation unit 14 transmits a collection signal.

When the usage frequency calculation unit 13 transmits a collection signal, the collection unit 15 receives the collection signal from the usage 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.

When the collection unit 15 receives the collection signal, the collection unit 15 collects maintenance information from the elevator 1. The maintenance information includes information necessary for predicting an elevator failure. For example, the maintenance information includes information on the operation and condition of the elevator car, such as the position of the elevator car (not shown), the speed of the car, the number of times the car has been moved, the weight of the car, and the like. For example, the maintenance information includes information on the operation and state of machines that operate elevators, such as elevator hoisting machines, guide rails, etc., which are not shown.

The prediction unit 16 acquires maintenance information from the collection unit 15. The prediction unit 16 predicts the 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 the specified number of times, the prediction unit 16 considers that the parts related to the movement of the car are worn out. For example, the prediction unit 16 determines that a failure of the elevator 1 is predicted when the total number of movements of the car exceeds a predetermined number of times. The specified number of times is set in advance.

When a failure is predicted, the prediction unit 16 creates failure prediction information.

When the prediction unit 16 creates the failure prediction information, the notification unit 17 acquires the failure prediction information from the prediction unit 16. When the notification unit 17 acquires the failure prediction information, the notification unit 17 transmits the failure prediction information to the control unit 2.

For example, when the control unit 2 receives the failure prediction information, the control unit 2 controls to prevent the elevator from being used by the user. For example, when the control unit 2 receives the failure prediction information, the control unit 2 stops the operation of the elevator. For example, when the control unit 2 receives the failure prediction information, the control unit 2 notifies the user to that effect. For example, when the control unit 2 receives the failure prediction information regarding an arbitrary car, the control unit 2 does not assign the vehicle allocation to the car.

Next, an example of the operation in which the elevator remote monitoring system 10 performs failure prediction will be described with reference to FIGS. 2 to 4.
FIG. 2 is a diagram showing an example of the contents stored in the storage device of the elevator remote monitoring system according to the first embodiment. FIG. 3 is a diagram showing an example of an outline of an operation in which the elevator remote monitoring system according to the first embodiment calculates the frequency of use. FIG. 4 is a diagram showing an example of an outline of the operation performed by the elevator remote monitoring system according to the first embodiment immediately before the high frequency time zone.

As shown in FIG. 2, for example, the storage device 11 stores various types of information in the form of a table. Each of the items on the left side of the table corresponds to the value on the right side of the table.

In the example, the unit time is one hour. The threshold of frequency of use is n times. The high frequency time zone is between 8:00 and 9:00 and between 17:00 and 18:00. The update time of the time zone is 0:00 as a daily change. The last minute is 5 minutes. Therefore, the time immediately before the high frequency time zone is the time 5 minutes before the high frequency time zone.

FIG. 3 shows an example when the value of frequency of use exceeds the threshold value.

In (1) of FIG. 3, the frequency of use is n times or more between 7:00 and 8:00. The user makes the first use at 7:05. The user uses it multiple times after 7:05. The user uses the nth time at 7:55.

In (2) of FIG. 3, the usage frequency calculation unit 13 calculates the usage frequency every hour. The usage frequency calculation unit 13 determines that the usage frequency value is n times or more of the threshold value.

In (3) of FIG. 3, the collecting unit 15 collects data of the elevator 1.

In (4) of FIG. 3, the prediction unit 16 predicts a failure. In (4) of FIG. 3, the prediction unit 16 determines that the failure of the elevator 1 is predicted.

In (5) of FIG. 3, the notification unit 17 transmits the failure prediction information of the elevator to the control unit 2.

FIG. 4 shows an example when the time is immediately before the high frequency time zone.

In (1) of FIG. 4, the time zone calculation unit 14 updates the information of the high frequency time zone of the storage device 11 at 0:00 when the date changes.

For example, the high frequency time zone is a time zone between 8:00 and 9:00. The frequency of use of the elevator 1 is expected to increase from 8:00.

In (2) of FIG. 4, the time zone calculation unit 14 determines at 7:55 that the time is immediately before the high frequency time zone. The time zone calculation unit 14 transmits a collection signal at 7:55.

In (3) of FIG. 4, the collecting unit 15 collects data of the elevator 1.

In (4) of FIG. 4, the prediction unit 16 predicts a failure. In (4) of FIG. 4, the prediction unit 16 determines that the failure of the elevator 1 is predicted.

In (5) of FIG. 4, the notification unit 17 transmits the failure prediction information of the elevator to the control unit 2.

Next, the operation in which the elevator remote monitoring system 10 calculates the frequency of use of the elevator 1 will be described with reference to FIG.
FIG. 5 is a flowchart for explaining an outline of an operation of calculating the frequency of use of the elevator remote monitoring system according to the first embodiment.

For example, the elevator remote monitoring system 10 starts an operation of calculating the frequency of use every hour.

In step S01, the usage frequency calculation unit 13 calculates the usage frequency of the elevator 1 using the operation information. The usage frequency calculation unit 13 stores the usage frequency information in the storage device 11.

After that, the operation of step S02 is performed. In step S02, the usage frequency calculation unit 13 uses the threshold information to determine whether or not the usage frequency value is equal to or greater than the threshold value.

If the value of the frequency of use is equal to or greater than the threshold value in step S02, the operation of step S03 is performed. In step S03, the usage frequency calculation unit 13 transmits a collection signal. The collection unit 15 receives a collection signal from the usage frequency calculation unit 13. The collecting unit 15 acquires maintenance information from the elevator 1.

After that, the operation of step S04 is performed. In step S04, the prediction unit 16 acquires maintenance information from the collection unit 15. The prediction unit 16 predicts the failure of the elevator 1.

After that, 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.

If it is determined in step S05 that a failure of the elevator 1 is predicted, the operation of step S06 is performed. In step S06, the prediction unit 16 creates failure prediction information. The notification unit 17 acquires the failure prediction information. The notification unit 17 notifies the failure prediction information.

After that, the elevator remote monitoring system 10 ends the process.

If the value of the frequency of use is smaller than the threshold value in step S02, or if 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, with reference to FIG. 6, the operation in which the elevator remote monitoring system 10 performs failure prediction immediately before the high frequency time zone will be described.
FIG. 6 is a flowchart for explaining an outline of the operation performed by the elevator remote monitoring system according to the first embodiment immediately before the high frequency time zone.

In step S11, the time zone calculation unit 14 determines whether or not the time is immediately before the high frequency time zone.

If it is the time immediately before the high frequency time zone in step S11, 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 a collection signal from the time zone calculation unit 14. The collecting unit 15 acquires maintenance information from the elevator 1.

After that, 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 the failure of the elevator 1.

After that, 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.

If it is determined in step S14 that the elevator 1 is expected to fail, the operation of step S15 is performed. In step S15, the prediction unit 16 creates 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.

After that, the elevator remote monitoring system 10 ends the process.

If the value of the frequency of use is smaller than the threshold value in step S11, or if it is not determined in step S14 that the failure of the elevator 1 is predicted, the elevator remote monitoring system 10 ends the process.

According to the first embodiment described above, the elevator remote monitoring system 10 includes a frequency calculation unit 13 and a collection unit 15. The usage frequency calculation unit 13 calculates the usage frequency of the elevator 1. When the frequency of use calculation unit 13 determines that the value of the frequency of use is equal to or greater than the threshold value, the collection unit 15 collects maintenance information from the elevator 1. Therefore, the elevator remote monitoring system 10 can detect that the frequency of use is high. The elevator remote monitoring system 10 can collect data of the elevator 1 when it is frequently used. When it is used frequently, failures due to wear, deterioration, etc. of parts are likely to occur. As a result, the elevator remote monitoring system 10 can collect elevator data when a failure is likely to occur.

Further, the elevator remote monitoring system 10 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 frequency of use is equal to or higher than the threshold value. The time zone calculation unit 14 determines whether or not the time is immediately before the high frequency time zone. When the time zone calculation unit 14 determines that the time is immediately before the high frequency time zone, the collection unit 15 collects the data of the elevator 1. Therefore, the elevator remote monitoring system 10 can collect data of the elevator 1 immediately before the concentration of use.

Further, the elevator remote monitoring system 10 includes a prediction unit 16. When the collection unit 15 collects data, the prediction unit 16 predicts the failure using the maintenance information. Therefore, the elevator remote monitoring system 10 can quickly predict a failure due to deterioration of parts. The elevator remote monitoring system 10 can confirm the safety of the car just before the concentration of use.

Further, the elevator remote monitoring system 10 includes a notification unit 17. When the prediction unit 16 determines that an elevator failure is predicted, the notification unit 17 transmits failure prediction information to the control unit 2 as a notification that the failure is predicted. Therefore, it is possible to prevent the use of an elevator that is predicted to fail.

The frequency of use does not have to be the calculation method described in the first embodiment as long as it represents the frequency of the number of times the elevator has been used. For example, frequency of use is a simple moving average of the number of times an elevator has been used per unit time. For example, the usage frequency calculation unit 13 calculates the number of times the elevator has been used in the last hour every 15 minutes. The usage frequency calculation unit 13 uses the calculation result as the usage frequency.

The threshold value used by the frequency calculation unit 13 may be different from the threshold value used by the time zone calculation unit 14. For example, the usage frequency calculation unit 13 determines whether or not the usage frequency value is equal to or higher than the first threshold value. For example, the time zone calculation unit 14 calculates a time zone in which the value of the frequency of use is equal to or greater than the second threshold value.

The failure prediction method performed by the prediction unit 16 is not limited to the method of assuming that the parts related to the car movement are worn out when the total number of car movements exceeds the specified number of times. The prediction unit 16 predicts the failure of a plurality of devices related to the elevator 1 by using the maintenance information.

The target to be notified by 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 the mobile terminal of the user.

Next, an example of the device constituting the monitoring server 12 will be described with reference to FIG. 7.
FIG. 7 is a hardware configuration diagram of the monitoring server of the elevator remote monitoring system according to the first embodiment.

Each function of the monitoring server 12 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 100a and at least one memory 100b. For example, the processing circuit comprises at least one dedicated hardware 200.

When the processing circuit includes at least one processor 100a and at least one memory 100b, each function of the monitoring server 12 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. At least one of the software and firmware is stored in at least one memory 100b. At least one processor 100a realizes each function of the monitoring server 12 by reading and executing a program stored in at least one memory 100b. At least one processor 100a is also referred to as a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a DSP. For example, at least one memory 100b is a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, EEPROM, magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD, or the like.

When the processing circuit includes at least one dedicated hardware 200, the processing circuit is realized by, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. To. For example, each function of the monitoring server 12 is realized by a processing circuit. For example, each function of the monitoring server 12 is collectively realized by a processing circuit.

For each function of the monitoring server 12, a part may be realized by the dedicated hardware 200, and the other part may be realized by software or firmware. For example, the function of the collecting unit 15 is realized by a processing circuit as dedicated hardware 200, and for functions other than the function of the collecting unit 15, at least one processor 100a reads a program stored in at least one memory 100b. It may be realized by executing.

In this way, the processing circuit realizes each function of the monitoring server 12 by hardware 200, software, firmware, or a combination thereof.

Although not shown, each function of the storage device 11 is also realized by a processing circuit equivalent to a processing circuit that realizes each function of the monitoring server 12.

1 Elevator, 2 Control unit, 10 Elevator remote monitoring system, 11 Storage device, 12 Monitoring server, 13 Frequency calculation unit, 14 Time zone calculation unit, 15 Collection unit, 16 Prediction unit, 17 Notification unit

Claims (3)

A frequency calculation unit that calculates the frequency of use of the elevator and determines whether or not the value of the frequency of use is equal to or greater than a set threshold value.
When the usage frequency calculation unit determines that the usage frequency value is equal to or higher than the threshold value, the collection unit that collects maintenance information from the elevator and the collection unit.
A time zone for calculating a high-frequency 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 determining whether or not the time is immediately before the high-frequency time zone. Calculation unit and
Equipped with a,
The collecting unit is an elevator remote monitoring system that collects maintenance information from the elevator when the time zone calculation unit determines that the time is immediately before the high frequency time zone . When the collecting unit collects the maintenance information, the prediction unit determines whether or not the failure of the elevator is predicted by using the maintenance information to predict the failure of the elevator.
The elevator remote monitoring system according to claim 1 . A notification unit that transmits a notification to the control unit of the elevator that a failure is predicted when the prediction unit determines that a failure of the elevator is predicted.
2. The elevator remote monitoring system according to claim 2 .

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