JP3361439B2 - Elevator failure prediction device - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator failure predicting apparatus for predicting a failure of an elevator driven by a motor such as an elevator or an escalator in advance.

[0002]

2. Description of the Related Art Conventionally, for example, Japanese Patent Publication No. 63-63465 discloses a system in which a failure of an elevator installed in a building is detected for each elevator and for each failure, and this is notified to a central monitoring center through a telephone line. It is disclosed.

[0003]

However, in the above-mentioned conventional technique, since the elevator has some trouble phenomenon or a primary failure occurs, the elevator must cope with the failure / repair, so that the failure occurs in advance. The replacement, maintenance, and repair of parts that are likely to be delayed were delayed, leading to actual failures. Since the elevator is a means of transportation, the occurrence of breakdowns is not good because it leads to deterioration of the service of the building.

Therefore, the present invention has been made in order to solve the above-mentioned problems of the conventional example, and it is possible to predict a failure from the operating condition of the elevator and perform advance processing so as not to cause the failure. The purpose is to obtain a failure prediction device.

[0005]

A failure prediction device for an elevator according to the present invention includes a measurement value table for storing measured values for each measurement date for a plurality of measurement items associated with the operation of the elevator, and a failure when the elevator fails. For each monitoring item, a failure history table that stores the failure occurrence date for each item, and a predicted value given by the measured value of the applicable item past the failure occurrence date that is stored in the above failure history table when an elevator failure occurs The monitoring data table stored in the, and the elevator is operated, and the measurement value for each measurement month for a plurality of measurement items obtained during operation is stored in the measurement value table,
A control means for storing the failure occurrence date of each failure item in the failure history table when an elevator failure occurs, and a predicted value for each monitoring item based on the contents of the measurement value table and the failure history table. And a prediction unit that outputs a prediction signal that notifies a failure of the corresponding monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the prediction value of the monitoring data table , The monitoring data table is
In the failure history of the elevator, the failure history table is stored.
In the measured value of the relevant item in the past from the date of failure occurrence
It is common to store the given monitoring point value for each monitoring item.
In addition, the data in the measurement value table is
A specified range for the monitoring point values in the monitoring data table
Notify the failure of the relevant monitoring item in advance when it is inside the enclosure
It is characterized by outputting a prediction signal .

[0006]

Further, the monitoring data table is a monitoring graph tendency given as a predicted value by a graph tendency of measured values of relevant items past the date of failure occurrence stored in the failure history table when an elevator failure occurs. The value of is stored for each monitoring item, and the predicting means detects the failure of the corresponding monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the value of the monitoring graph tendency of the monitoring data table. It is characterized by outputting a prediction signal to notify the.

Further, the control means operates the elevator in a predetermined pattern while the elevator is at rest, stores the measured values for each measurement date for a plurality of measurement items in the measured value table, and the predicting means The failure prediction is performed in a normal operation state.

Further, the control means stores the measurement values for each measurement date for a plurality of measurement items in the normal operating state of the elevator in the measurement value table, and the prediction means makes the failure prediction the normal operation. It is characterized in that it is performed in the state.

Further, the measurement value table is provided for each of a plurality of elevators, and the predicted value stored in the monitoring data table is an average value of the plurality of elevators.

The measurement value table, the failure history table and the control means are provided on the building side, the monitoring data table and the predicting means are provided on the monitoring center, and the transmitting means is provided on the building side and the monitoring center side. The prediction means stores the predicted value for each monitoring item in the monitoring data table based on the contents of the measurement value table and the failure history table transmitted via these transmission means, and performs the failure prediction. It is characterized by.

Further, the prediction means is characterized in that when the prediction signal is output, the corresponding building name and building number and the elevator machine number are notified.

The control means measures the traveling time of the elevator as a measured value and stores it in the measured value table, and the predicting means controls the speed control system based on the measured value of the traveling time of the elevator. It is characterized by performing failure prediction.

The control means measures the landing time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means determines the landing time based on the measurement value of the landing time of the elevator. The feature is that the failure prediction of the control system is performed.

Further, the control means measures the door opening time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means calculates the door opening time based on the measurement value of the elevator door opening time. The feature is that the failure prediction of the control system is performed.

The control means measures the door closing time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means closes the door based on the measurement value of the elevator door closing time. The feature is that the failure prediction of the control system is performed.

Further, the control means measures the brake release time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means determines the brake system based on the measurement value of the brake release time of the elevator. It is characterized by performing the failure prediction of.

Further, the control means measures the brake braking time of the elevator as a measured value and stores it in the measured value table, and the predicting means determines the braking system based on the measured value of the brake braking time of the elevator. It is characterized by performing the failure prediction of.

The control means measures the unlocking time of the elevator landing door as a measured value and stores it in the measurement value table, and the predicting means measures the unlocking time of the elevator landing door. The feature is that the failure prediction of the lock of the hall door is performed based on the value.

Further, the control means measures the full speed traveling time of the elevator as a measured value and stores it in the measurement value table, and the predicting means measures the elevator based on the measured value of the full speed traveling time of the elevator. The feature is that the failure prediction of the speed control system is performed.

Further, the control means measures the temperature of the hoist as a measured value and stores it in the measured value table, and the predicting means hoists based on the measured value of the temperature of the hoist. It is characterized by predicting machine failure.

Further, the control means measures the temperature of the elevator machine room as a measured value and stores it in the measured value table, and the predicting means hoists based on the measured value of the temperature of the elevator machine room. It is characterized by predicting machine failure.

Further, the control means measures, as a measurement value, a time required to operate the escalator during rest and reach a normal speed and stores the measured value in the measurement value table, and the predicting means causes the escalator to operate normally. The feature is that the escalator failure prediction is performed based on the measured value of the time until the speed is reached.

Further, the control means measures, as a measurement value, a time during which the escalator is stopped during operation and stores it in the measurement value table, and the predicting means measures the time until the escalator is stopped. The feature is that the failure of the escalator is predicted based on the measured value of time.

Further, the predicting means is based on the predicted value stored when the predicted value is already stored in the monitoring data table at the time of failure occurrence and the new predicted value obtained upon failure occurrence. It is characterized in that the predicted value stored in the monitoring data table is corrected and updated.

[0026]

DETAILED DESCRIPTION OF THE INVENTION

Embodiment 1. The elevator failure prediction device according to the present invention predicts a failure from the operating status of the elevator and performs pre-processing so that the failure does not occur. When the failure occurs, what is the data of each part before that? By grasping the above, grasping it as an alarm before a failure occurs, and issuing a pre-alarm beforehand when the actual operation data approaches the value of that alarm, it is possible to prevent a real failure. .

That is, in the first embodiment, failure prediction is performed according to the process described later. A virtual call is generated while the passenger is not in the elevator, and the data in the measurement value table shown in FIG. 6 is obtained for each car every month. Information indicating which failure occurred in which part on which day when the failure occurred is created as a failure history table shown in FIG. The monitoring data table shown in FIG. 20 in which the data of a predetermined month before the occurrence of the failure is used as a target (predicted value: monitoring point value and monitoring graph tendency value) of the failure prediction is created. It detects whether or not it is close to the value from the measured data, and predicts the failure.

A specific description will be given below with reference to the drawings.
FIG. 1 is a block diagram showing an overall configuration of a failure prediction device for an elevator according to the present invention. In FIG. 1, 11, ...
1N is an elevator control device for Nos. 1 to N installed in the building, 20 is an elevator group management device for group management of elevators from No. 1 to N, 30 is a failure prediction device, and these configurations are It is provided for each building. Further, 40 is a telephone line, and 50 is a center device on the side of the monitoring center which is line-connected to the failure prediction device 30 of each building through the telephone line 40.

Here, the failure prediction device 30 and the center device 50 incorporate the configuration shown in FIG. That is, the failure prediction device 30 includes a CPU 30a as a control unit, a ROM 30b that stores each processing program and fixed data, a RAM 30c that temporarily stores processing data and input data, and an elevator group management device 2.
Transmission device 30d for transmitting data with 0, Perpetual clock 3
0e, the center device 50 and the transmission device 30f for transmitting data via the telephone line 40 are built in, and these components are connected via a bus.

As the center device 50, a CPU 50a as a control means, a ROM 50b for storing each processing program and fixed data, a RAM 50c for temporarily storing processing data and input data, the failure prediction device 30 and a telephone line. A transmission device 50d for transmitting data via 40, a CRT (display) 50e, a keyboard (KB) 50f, and a printer (PRT) 50g are built in, and these components are connected via a bus.

Next, the pre-measurement operation by the failure prediction device 30 will be described with reference to the flow charts shown in FIGS. 3 to 5 are ROMs of the failure prediction device 30.
It is a flow chart which shows a prior measurement operation which is stored in 30b and operates based on control of CPU30a. First,
If one month has passed since the last measurement (step S1), if it has passed, it is determined whether it is "0:00" (step S2), and if it is "0:00" To
It is determined whether the elevator has moved during this time zone within the past month (step S3).

If the result of determination in step S3 is that there has been movement, the time is advanced by 10 minutes (step S4) and the process returns to step S3. On the other hand, if it has not moved, it is determined whether the elevator is currently stopped (step S
5) If not stopped, the process proceeds to step S4.
If it is stopped, the current date is stored in the RAM 30c (step S6), and the transmission between the elevator of No. 1 machine and the failure prediction device is started (step S7).

Then, shifting to FIG. 4, a virtual call for the lowest floor is generated (step S8). Then, after the elevator is driven to the lowest floor by the initial setting (step S
9) Generate virtual calls for all floors (step S1)
0), run the elevator to the top floor in the stop operation on each floor (step S11), and calculate the data from the travel time of the measurement items in the table shown in FIG. 6 to the unlocking time of the door of the hall during the stop operation on each floor. It is stored in the RAM 30c (step S12). Further, after that, a virtual call up to the lowest floor is generated (step S13), and during full-speed traveling operation, data of full-speed traveling time of measurement items of the table shown in FIG. 6 is calculated and stored in the RAM 30c (step S14).

Further, shifting to FIG. 5, the machine number is incremented by 1 to measure the next elevator (step S15),
It is determined whether or not the measurement of all the units is completed (step S1
6) When the measurement of all units is completed, the table shown in FIG.
It is stored in M50c (step S17). Then, the process returns to step S1 shown in FIG. On the other hand, if the measurement of all the units has not been completed, steps S8 and subsequent steps in FIG. 4 are repeated.

That is, according to the flow charts shown in FIGS. 3 to 5, as shown in FIG. 6, a measurement value table for storing the measurement values for each measurement date for the measurement item is obtained.
Stored in the AM 30c, these data are obtained for each machine and transmitted from the failure prediction device 30 to the center device 50 via the telephone line 40.

Here, each data of the measurement items shown in FIG. 6 by the failure prediction device 30 is obtained according to the flowcharts shown in FIGS. First, the calculation of the traveling time will be described with reference to FIG. It is determined whether the door of the elevator car is closed and a travel command is issued (step S1).
01), when the travel command is issued, the current time t1 is RA
It is stored in M30c (step S102).

Next, it is determined whether or not the car has traveled (step S103), and it is determined whether the car has stopped after traveling and whether or not the brakes have been applied (step S104). When the brake is applied, the current time t2 is stored in the RAM 30c (step S105), the running time, that is, the time difference (t2-t1) is calculated (step S106), and the calculation result is stored in the RAM 30c as shown in FIG. Are stored in the same places (step S107).

Next, the calculation of the landing time will be described with reference to FIG. First, it is determined whether or not the car has entered the door zone (about 250 mm in front of the floor) while the car is decelerating to the destination floor (step S111). When the car has entered the door zone, the current time t3 is stored in the RAM 30c (step S10).
2).

Then, it is determined whether the car is stopped and the brake is applied (step S113). When the brake is applied, the current time t4 is stored in the RAM 30c (step S114), and the landing time, that is, the time difference (t4).
-T3) is calculated (step S115), and the calculation result is stored in the RAM 30c at the same position in the table shown in FIG. 6 (step S116).

Next, the calculation of the door opening time will be described with reference to FIG. First, the car decelerates to the destination floor, and it is determined whether a door opening command is issued (step S121). When the door opening command is issued, the current time t5 is stored in the RAM 30c (step S122).

After that, it is determined whether or not the car door is opened and is in the fully opened state (step S123). When it is in the fully opened state, the current time t6 is stored in the RAM 30c (step S124), and the door opening time, that is, the time difference (t6-t).
5) is calculated (step S125), and the calculation result is R
The data is stored in the AM 30c at the same position in the table shown in FIG. 6 (step S126).

Next, the calculation of the door closing time will be described with reference to FIG. First, it is determined whether or not a door closing command is issued while the car is stopped (step S131), and when the door closing command is issued, the current time t7 is stored in the RAM 30c (step S132).

After that, it is determined whether the car door is closed and the car is in the fully closed state (step S133). When it is in the fully closed state, the current time t8 is stored in the RAM 30c (step S134) and the door closing time, that is, the time difference (t8-t).
7) is calculated (step S135), and the calculation result is R
The data is stored in the AM 30c at the same position in the table shown in FIG. 6 (step S136).

Next, the calculation of the brake release time will be described with reference to FIG. First, it is determined whether the car has a traveling direction and a brake release command is issued (step S141), and when the brake release command is issued, the current time t9 is stored in the RAM 30c (step S14).
2).

Thereafter, it is determined whether the brake is released and the brake release detection contact (not shown) is closed (step S143). The current time t10 is stored in the RAM 30c when the brake release detection contact is closed (step S1).
44), the brake release time, that is, the time difference (t10-t
9) is calculated (step S145), and the calculation result is R
The data is stored in the same portion of the table shown in FIG. 6 in the AM 30c (step S146).

Next, the calculation of the braking time will be described with reference to FIG. First, it is determined whether or not the car is stopped and a brake braking command is issued (step S151),
When the braking command is issued, the current time t11 is RA
The data is stored in M30c (step S152).

Then, it is determined whether or not the brake is applied and the brake braking detection contact (not shown) is closed (step S153). When the brake braking detection contact is closed, the current time t12 is stored in the RAM 30c (step S15).
4), brake braking time, that is, time difference (t12-t1)
1) is calculated (step S155), and the calculation result is R
The data is stored in the AM 30c at the same position in the table shown in FIG. 6 (step S156).

Next, the calculation of the unlocking time of the hall door will be described with reference to FIG. First, it is determined whether or not a command to unlock the landing is issued before the car decelerates and the landing door is opened (step S161), and when an unlocking command is issued,
The current time t13 is stored in the RAM 30c (step S
162).

After that, it is determined whether or not a contact (not shown) for detecting that the hall door is unlocked is closed (step S163). When the contact is closed, the current time t14 is set to R
It is stored in the AM 30c (step S164), the unlocking time of the landing door, that is, the time difference (t14-t13) is calculated (step S165), and the calculation result is stored in the RAM 30c at the same place in the table shown in FIG. Yes (step S166).

Next, the full speed running time and other calculations will be described with reference to FIGS. 13 and 14. In FIG. 13, first, it is determined whether the door is closed and a travel command is issued (step S171), and when the travel command is issued, the current time t15 is stored in the RAM 30c (step S1).
72).

Thereafter, it is determined whether or not the car has traveled (step S173), and after traveling, it is determined whether or not the car has stopped and the brakes have been applied (step S174).
When the brake is applied, the current time t16 is set to the RAM 30
c (step S175), the full speed traveling time, that is, the time difference (t16-t15) is calculated, and the calculation result is stored in the RAM 30c at the same position in the table shown in FIG. 6 (step S176).

Next, shifting to FIG. 15, the current temperature of the hoisting motor is stored in the RAM 30c at the same position of the table shown in FIG. 6 by the thermometer provided to the hoisting motor in the elevator machine room. (Step S177), and the thermometer provided in the elevator machine room stores the current temperature of the elevator machine room in the RAM 30c at the same position in the table shown in FIG. 6 (step S178).

In this way, each measurement item data of the measurement value table shown in FIG. 6 is measured, and this table is obtained for each machine and stored in the RAM 30c.

Next, the setting of the monitoring point value is shown in FIG.
6 to 18, the failure history table shown in FIG. 19 and the monitoring data table shown in FIG. 20 will be described. The failure history table shown in FIG. 19 stores the failure occurrence date for each failure item when a failure occurs, and the monitoring data table shown in FIG. 20 shows the measurement value table shown in FIG. 6 when a failure occurs. The predicted value given by the measured value of the relevant item past the failure occurrence date stored in is stored for each monitoring item, and these tables are provided for each unit.

First, it is judged whether or not an elevator failure has occurred (step S201). If a failure has occurred, it is determined that a failure has occurred in the center device 50 via the failure prediction device 30 by the transmission devices 30f, 50d. And is transmitted via the telephone line 40 (step S202). Center device 50
Then, the name and building number of the failure-occurring building are displayed and printed (step S203).

Based on this, the staff dispatches to the relevant building, finds out the cause of the failure, analyzes which item of the failure history table shown in FIG. 19 corresponds, and then uses the keyboard 50f of the center unit 50 to display the failure history shown in FIG. Enter the failure occurrence date in the relevant item column of the table (step S20).
4).

After that, the process shifts to FIG. 17 and FIG. 6 about two months before the failure occurrence date of the failure history table shown in FIG.
The measured value P1 of the corresponding item of the measured value table shown in FIG. 21 is temporarily stored in the RAM 50c in order to move it to the monitoring point value field (step S205), and the numerical value P2 is already stored in the applicable field of the monitoring data table shown in FIG. Is stored (step S206).

If numerical values have already been stored in the monitoring data table, the monitoring point value P1 obtained in step S205 and the monitoring point value P2 already stored are averaged and shown in FIG. The predicted value is corrected and updated by storing it in the corresponding column of the table (step S207). On the other hand, when the numerical value is not stored in the monitoring data table, the monitoring point value P1 obtained in step S205 is stored as it is in the corresponding column of the table shown in FIG. 20 (step S208).

Further, shifting to FIG. 18, the graph tendency of the data past the corresponding monitoring point value is calculated from the measurement value table shown in FIG. 6, and is moved to the value column of the monitoring graph tendency (step S209). In this way, the failure history table shown in FIG. 19 and the monitoring data table shown in FIG. 20 are obtained for each machine.

Next, the operation of predicting a failure based on these tables will be described with reference to FIG. Whether the data of the measurement value table shown in FIG. 6 transmitted from each building to the center device 50 is within a predetermined range with respect to the values of the monitoring points and the monitoring graph tendency of the monitoring data table shown in FIG. Is determined (step S301), and if it is within the range, the corresponding building name and building number, the elevator number and the content of the monitoring item are displayed / printed as a prediction signal (step S302). Then, the clerk sees it and rushes to the site to inspect before the occurrence of the failure and prevent the occurrence of the failure in advance (step S303).

Further, the check operation of the elevator group management device 20 and the elevator will be described with reference to the flowchart shown in FIG. First, it is determined whether or not all the pre-measurement processes shown in FIGS. 3 to 5 have been completed (step S401). If the processes have been completed, the failure prediction device 30
From the elevator group management device 20 to generate and transmit up / down calls at all halls (step S40).
2). After that, when the up / down calls of all the halls have been answered, it is determined whether or not there was an elevator that did not move at all (step S403). If yes, the building name, building number, and elevator number are set as the center. The data is transmitted to the device 50 (step S404). If not, the process ends. As a result, the clerk can be dispatched to deal with the failure (step S405).

That is, when the elevator is at rest, at least a hall call is generated, and the group management device 20 and the elevator control devices 11, ..., 1N are operating normally (all hall calls are answered, and all elevators are answered). It detects whether it has moved or not, and the part that is not operating (the hall call is assigned to each elevator by the group management device. The control device of each elevator receives it and responds to the call) ) Can be detected.

The present invention can be implemented according to the embodiments described later. Embodiment 2. As an elevator, it can be implemented in the same manner as a device for moving an object by a motor other than an elevator (including an escalator).

Third Embodiment Instead of temporarily operating the elevator during the suspension to obtain the measurement value for each measurement month for the measurement item, the measurement value can be obtained during the actual operation in the same manner.

Fourth Embodiment The measured value and the predicted value may be obtained while the elevator is not operating, and the failure prediction may be performed during actual operation. This predicted value may not be provided for each elevator, but statistical data of failure tendencies of a large number of elevators may be taken and the average value thereof may be used as the predicted value.

Embodiment 5. The prediction may be made not for the monitoring center but for each building. However, it becomes expensive.

Sixth Embodiment The predicted value may not be averaged with the previous value each time a failure occurs, but only the immediately previous value, for example, the value a predetermined time before the occurrence of the failure may be used as the predicted value.

Embodiment 7. The predicted value may be either one of the monitoring point value and the monitoring graph tendency value, but may be either one.

Embodiment 8. As an elevator, in an escalator, it is operated while there is no person, and at that time the time until reaching normal speed is measured at a predetermined interval and stored in the measurement value table, and the above-mentioned time before the predetermined time when a failure occurs The value is the failure prediction value (or graph tendency value),
Normally, when approaching the predicted value, the failure prediction may be notified, and the failure of the escalator can be predicted based on the measured value of the time until the escalator reaches the normal speed.

The same operation can be performed when the escalator is stopped. As a measured value, the time until the escalator is stopped while the escalator is in operation is measured and stored in the measured value table. By predicting the failure of the escalator based on the measured value of time, the failure of the escalator can be predicted based on the measured value of the time until the escalator stops.

Ninth Embodiment It goes without saying that the measured value can be implemented in any part as long as it is a part that moves mechanically.

[0072]

As described above, according to the elevator failure prediction apparatus of the present invention, a measurement value table for storing measurement values for each measurement date for a plurality of measurement items associated with the operation of the elevator, and the elevator failure. When a failure occurs, the failure history table that stores the failure occurrence date for each failure item and the predicted value given by the measured value of the relevant item past the failure occurrence date that is stored in the failure history table when the elevator failure occurs The monitoring data table stored for each monitoring item and the elevator are operated, and the measured values for each measurement month for a plurality of measurement items obtained at the time of operation are stored in the above-mentioned measurement value table, and when the elevator fails, each failure item is stored. Control means for storing the date of failure occurrence in the failure history table, and for each monitoring item based on the contents of the measured value table and the failure history table. Prediction that stores a value in the monitoring data table and outputs a prediction signal to notify a failure of the corresponding monitoring item in advance when the data in the measurement value table is within a predetermined range with respect to the predicted value in the monitoring data table The monitoring data table includes a prediction value and
Then, when a failure of the elevator occurs, write it in the failure history table above.
Measured value of the relevant item in the past from the date of failure occurrence
When the monitoring point value given by is stored for each monitoring item
In both cases, the data in the measurement value table is
Predetermined for the monitoring point value in the above monitoring data table
If it is within the range, notify the failure of the relevant monitoring item in advance.
It is possible to predict a failure from the operating status of the elevator and perform pre-processing so as not to cause a failure by outputting a prediction signal that indicates the predicted value to be stored in the monitoring data table.
From the failure occurrence date stored in the measurement value table
The monitoring point value given by the measured value of the relevant item in the past
Store and pre-determine failure based on this monitoring point value
Can be predicted.

[0073]

Further, the monitoring data table is a monitoring graph tendency given as a predicted value by a graph tendency of the measured values of the corresponding items past the failure occurrence date stored in the failure history table when the failure of the elevator occurs. The value of is stored for each monitoring item, and the predicting means detects the failure of the corresponding monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the value of the monitoring graph tendency of the monitoring data table. by outputting a prediction signal to inform the, as a prediction value stored in the monitor data table, fault
The value of the monitoring graph tendency given by the graph tendency of the measured value of the relevant item past the failure occurrence date stored in the history table is stored, and the failure can be predicted in advance based on this monitoring graph tendency value. .

Further, the control means operates the elevator in a predetermined pattern while the elevator is at rest, stores the measured values for each measurement date for a plurality of measurement items in the measured value table, and the predicting means operates. By performing the failure prediction during the normal operation state, it is possible to obtain the measurement value table in advance while the elevator is not operating, and based on that, perform the failure prediction during the actual normal operation.

Further, the control means stores the measurement values for each measurement date for a plurality of measurement items in the normal operation state of the elevator in the measurement value table, and the prediction means makes the failure prediction the normal operation. By performing the operation in the state, it is possible to obtain the measurement value table in the normal operation state without the elevator being stopped, and to perform failure prediction based on the measurement value table without lowering the service.

Further, the measured value table is provided for each of a plurality of elevators, and the predicted value stored in the monitoring data table is an average value of the plurality of elevators, so that the predicted value is an average of the plurality of elevators. By setting the value, the monitoring data table and the predicting unit can be shared for each elevator, and the configuration of the entire system can be made inexpensive.

Further, the measured value table, the failure history table and the control means are provided on the building side, the monitoring data table and the predicting means are provided on the monitoring center, and the transmitting means is provided on the building side and the monitoring center side. The prediction means stores the predicted value for each monitoring item in the monitoring data table based on the contents of the measurement value table and the failure history table transmitted via these transmission means, and performs the failure prediction. As a result, the failure prediction of the elevator installed on the building side can be remotely monitored on the monitoring center side.

Further, the prediction means can specify the building and the elevator at the time of the failure prediction by notifying the corresponding building name and building number and the elevator machine number at the time of outputting the prediction signal.

Further, the control means measures the traveling time of the elevator as a measured value and stores it in the measured value table, and the predicting means controls the speed control system based on the measured value of the traveling time of the elevator. By performing the failure prediction, the failure of the speed control system can be predicted based on the measured value of the traveling time of the elevator.

The control means measures the landing time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means determines the landing time based on the measurement value of the landing time of the elevator. By predicting the failure of the control system, the failure of the landing control system can be predicted based on the measured value of the landing time of the elevator.

Further, the control means measures the door opening time of the elevator as a measured value and stores it in the measurement value table, and the predicting means opens the door based on the measured value of the elevator door opening time. By predicting the failure of the control system, it is possible to predict the failure of the door opening control system based on the measured value of the door opening time of the elevator.

The control means measures the door closing time of the elevator as a measured value and stores it in the measured value table, and the predicting means closes the door based on the measured value of the elevator door closing time. By predicting the failure of the control system, the failure of the door closing control system can be predicted based on the measured value of the elevator door closing time.

Further, the control means measures the brake release time of the elevator as a measurement value and stores it in the measurement value table, and the predicting means calculates the brake system based on the measurement value of the brake release time of the elevator. The failure prediction of the brake system can be performed based on the measured value of the brake release time of the elevator.

The control means measures the brake braking time of the elevator as a measured value and stores it in the measured value table, and the predicting means calculates the brake system based on the measured value of the brake braking time of the elevator. The failure prediction of the brake system can be performed based on the measured value of the brake braking time of the elevator.

The control means measures the unlocking time of the elevator landing door as a measured value and stores it in the measured value table, and the predicting means measures the unlocking time of the elevator landing door. By predicting the failure of the lock of the hall door based on the value, the failure of the lock of the hall door can be predicted based on the measured value of the unlock time of the hall door of the elevator.

Further, the control means measures the full speed traveling time of the elevator as a measured value and stores it in the measurement value table, and the predicting means measures the elevator based on the measured value of the full speed traveling time of the elevator. By predicting the failure of the speed control system, the failure of the speed control system of the elevator can be predicted based on the measured value of the full speed travel time of the elevator.

Further, the control means measures the temperature of the hoisting machine as a measured value and stores it in the measured value table, and the predicting means measures the hoisting machine temperature based on the measured value. By predicting the failure of the hoist, the failure of the hoist can be predicted based on the measured value of the temperature of the hoist.

The control means measures the temperature of the elevator machine room as a measured value and stores it in the measured value table, and the predicting means hoists based on the measured value of the temperature of the elevator machine room. By predicting the failure of the machine, the failure of the hoisting machine can be predicted based on the measured value of the temperature in the elevator machine room.

Further, the control means measures, as a measurement value, a time until the escalator is operated during the rest and reaches a normal speed and stores the measured value in the measurement value table. By predicting the failure of the escalator based on the measured value of the time until reaching the speed, the failure prediction of the escalator can be performed based on the measured value of the time until the escalator reaches the normal speed.

Further, the control means measures, as a measurement value, the time until the escalator is stopped during operation and stores it in the measurement value table, and the predicting means measures the time until the escalator is stopped. By predicting the failure of the escalator based on the measured value of the time, the failure of the escalator can be predicted based on the measured value of the time until the escalator stops.

Further, the predicting means is based on the predicted value stored when the predicted value is already stored in the monitoring data table at the time of failure occurrence and the new predicted value obtained upon occurrence of the failure. By correcting and updating the predicted value stored in the monitoring data table, it is possible to perform accurate failure prediction by correcting and updating the predicted value stored in the monitoring data table.

[Brief description of drawings]

FIG. 1 is a block diagram showing an overall configuration of a failure prediction device for an elevator according to the present invention.

FIG. 2 is a failure prediction device 30 and a center device 50 of FIG.
FIG.

FIG. 3 is a ROM 3 of the failure prediction device 30 shown in FIGS. 1 and 2.
It is a flow chart which shows a prior measurement operation which is stored in 0b and operates based on control of CPU30a.

FIG. 4 is a flowchart following FIG.

FIG. 5 is a flowchart following FIG.

FIG. 6 is an explanatory diagram showing the contents of a measurement value table.

FIG. 7 is a flowchart illustrating calculation of traveling time as a measurement value in a measurement value table.

FIG. 8 is a flowchart illustrating calculation of a landing time as a measurement value of a measurement value table.

FIG. 9 is a flowchart illustrating calculation of a door opening time as a measurement value of a measurement value table.

FIG. 10 is a flowchart illustrating a calculation of a door closing time as a measurement value of a measurement value table.

FIG. 11 is a flowchart illustrating calculation of a brake opening time as a measurement value in a measurement value table.

FIG. 12 is a flowchart illustrating calculation of a braking time as a measured value in a measured value table.

FIG. 13 is a flowchart for explaining calculation of unlocking time of a hall door as a measurement value of a measurement value table.

FIG. 14 is a flowchart illustrating calculation of full speed traveling time as a measurement value in a measurement value table.

FIG. 15 is a flowchart following FIG.

FIG. 16 is a flowchart illustrating setting of monitoring point values.

FIG. 17 is a flowchart following on from FIG.

FIG. 18 is a flowchart following FIG.

FIG. 19 is an explanatory diagram showing the contents of a failure history table.

FIG. 20 is an explanatory diagram showing the contents of a monitoring data table.

FIG. 21 is a flowchart illustrating failure prediction.

FIG. 22 is a flowchart illustrating checking of a group management device and an elevator.

[Explanation of symbols]

11, ..., 1N elevator control device, 20 elevator group management device, 30 failure prediction device, 40 telephone line, 50 center device.

─────────────────────────────────────────────────── ─── Continuation of the front page (56) Reference JP-A-7-37186 (JP, A) JP-A-2-158580 (JP, A) JP-A-6-271228 (JP, A) JP-A-8- 225266 (JP, A) JP 3-195690 (JP, A) JP 7-257865 (JP, A) JP 6-156965 (JP, A) (58) Fields investigated (Int.Cl. ⁷ , DB name) B66B 5/00 B66B 27/00

Claims (20)

(57) [Claims] 1. A measurement value table that stores measurement values for each measurement date for a plurality of measurement items associated with the operation of an elevator, and a failure history table that stores a failure occurrence date for each failure item when an elevator failure occurs, When an elevator failure occurs, a monitoring data table that stores, for each monitoring item, the predicted value given by the measured value of the relevant item past the failure occurrence date stored in the above failure history table, and the elevator is operated and operated. Control means for storing the measurement value for each measurement month for a plurality of measurement items obtained at each time in the measurement value table, and for storing the failure occurrence date for each failure item in the failure history table when a failure of the elevator occurs, Based on the contents of the measured value table and the failure history table, the predicted value for each monitoring item is stored in the monitored data table, and the measured value table is stored. Le data and a prediction unit for outputting a prediction signal notifying in advance a failure of the corresponding monitored item if within a predetermined range with respect to the predicted value of the monitoring data table, the monitoring data table, as the predicted value Because of the elevator
Failures stored in the above failure history table when a failure occurs
Monitoring given by the measured value of the relevant item in the past from the date of occurrence
The point value is stored for each monitoring item and
In the columns, the data in the above measurement value table is
If it is within the specified range for the monitoring point value of the cable
Outputs a prediction signal to notify the failure of the corresponding monitoring item in advance
A failure prediction device for elevators. 2. The monitoring data table is a predicted value
In the failure history of the elevator, the failure history table is stored.
Of the measured value of the relevant item in the past from the failure occurrence date
Monitoring items given by graph trend Monitoring items for graph trend values
The prediction value is stored for each
Bullet data is based on the monitoring graph in the above monitoring data table.
If the value is within the specified range for the
It is characterized by outputting a prediction signal that informs the failure in advance.
Failure prediction apparatus according to claim 1 Symbol placement elevator to. 3. The control means sets a predetermined value while the elevator is at rest.
Operate the elevator in the pattern of
The measurement value for each measurement date is stored in the above measurement value table.
At the same time, the above-mentioned predicting means makes the failure prediction a normal operating condition.
The failure prediction device for an elevator according to claim 1 or 2 , wherein the failure prediction device is performed during an emergency. 4. The above-mentioned control means is a normal operation state of an elevator.
Measurements for multiple measurement items during each measurement period
The value is stored in the measurement value table and the prediction is performed.
The means is characterized by performing failure prediction during normal operating conditions.
The failure prediction device for an elevator according to claim 1 or 2 . 5. The measurement value table is applied to a plurality of elevators.
For each of the above, the above monitoring data table
The predicted value stored in
The failure prediction device for an elevator according to any one of claims 1 to 4 , which is characterized in that . 6. The measurement value table and the failure history table
And the control means on the building side,
A visual data table and the above prediction means are provided at the monitoring center.
And the transmission means on the building side and the monitoring center side, respectively.
And the predicting means are transmitted via these transmitting means.
Based on the contents of the measured value table and failure history table
For each monitoring item, write the predicted value in the above monitoring data table.
2. The failure prediction is performed by being memorized.
The failure prediction device for an elevator according to any one of Items 5 . 7. The prediction means, when outputting a prediction signal,
Report the relevant building name, building number, and elevator number.
The failure prediction device for an elevator according to claim 6, which is known . 8. The control means outputs the measured value as an elevator.
The running time of the data is measured and stored in the above measurement value table.
At the same time, the prediction means is
It is special to predict failure of speed control system based on measured values.
The failure prediction device for an elevator according to any one of claims 1 to 7 . 9. The control means outputs the measured value as an elevator.
The landing time of the data is measured and stored in the above measurement value table.
In addition, the prediction means is
A special feature is that the failure of the landing control system is predicted based on the measured values.
The elevator failure prediction device according to any one of claims 1 to 8 , which is a characteristic . 10. The control means outputs the measured value as an electronic value.
Measures the opening time of Beta and stores it in the above measurement value table
At the same time, the above-mentioned prediction means determines the door opening time of the elevator.
It is possible to predict the failure of the door opening control system based on the measured value of
10. The failure prediction device for an elevator according to claim 1 , wherein the failure prediction device is an elevator. 11. The control means sets the measured value as an electric value.
Measures the closing time of Beta and stores it in the above measurement value table
In addition to the above, the predicting means determines the elevator door closing time.
It is possible to predict the failure of the door closing control system based on the measured value of
The failure prediction device for an elevator according to any one of claims 1 to 10 . 12. The control means outputs the measured value as an electric value.
Beta brake release time is measured and the above measured value table
The prediction means is stored in the elevator.
Failure of the brake system based on the measured value of the brake release time
The failure prediction device for an elevator according to any one of claims 1 to 11 , wherein prediction is performed . 13. The control means, as a measurement value,
The beta braking time is measured and the measured value table
The prediction means is stored in the elevator.
Brake system failure based on measured braking time
The failure prediction device for an elevator according to claim 1, wherein prediction is performed . 14. The control means outputs the measured value as an electric signal.
Measure the unlocking time of the beta landing door and
And the prediction means is
Of the lock on the landing door based on the measured value of the unlocking time
The elevator failure prediction apparatus according to any one of claims 1 to 13 , wherein failure prediction is performed . 15. The control means outputs the measured value as an electronic value.
Measure the full speed running time of Beta and enter it in the above measurement value table.
In addition to being stored, the prediction means is
Based on the measured travel time of the elevator speed control system
The failure prediction device for an elevator according to any one of claims 1 to 14 , wherein failure prediction is performed . 16. The winding means as the measured value
When measuring the machine temperature and storing it in the above measurement value table
Both of the prediction means are based on the measured value of the temperature of the hoisting machine.
2. The hoisting machine failure prediction is performed according to claim 1.
The elevator failure prediction device according to any one of item 15 . 17. The control means outputs the measured value as an electronic value.
Measure the temperature of the beta machine room and record it in the above measurement value table.
Reminder, the prediction means is
It is possible to predict failure of the hoisting machine based on the measured temperature value.
The failure prediction device for an elevator according to claim 1 , wherein the failure prediction device is for a lift. 18. The control means outputs the measured value as an ESS.
Until the normal speed is reached by operating the calator during rest
It is common to measure time and store it in the above measurement value table.
In addition, the above-mentioned prediction means, the escalator reaches the normal speed
Escalator failure prediction based on measured time to
The failure prediction device for an elevator according to any one of claims 1 to 7 , wherein: 19. The control means measures, as a measurement value, the time during which the escalator is stopped during operation, and stores the time in the measurement value table, and the predicting means until the escalator is stopped. failure prediction system of the elevator of claims 1 to 7 either or 18, wherein the and performing failure prediction of the escalator on the basis of the time of the measurement values of. 20. The predicting means is configured to monitor the failure when a failure occurs.
If the predicted value is already stored in the visual data table
Is the predicted value stored and the new
Stored in the above monitoring data table based on
The predicted value to be corrected is updated and corrected.
The elevator failure prediction device according to any one of 19 .