JPH10203744A - Failure estimating device of elevator - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform the preparation in advance so that an elevator does not cause a failure by outputting an estimation signal which informs a failure in monitoring items in advance when data of a measured value table are within a predetermined scope for estimated value of a monitoring data table. SOLUTION: It is judged whether or not data of measured value table which are transmitted to a center device from each building are within a predetermined scope for a monitoring point of monitoring data table and value of monitoring graph tendency (S301). If the data are within the predetermined scope based on the judgment, name and number of corresponding building, the number of an elevator, and the contents of monitoring items are displayed and printed as estimation signals (S302). A person in charge sees them and hurries to a site to conduct an inspection before a failure occurs in order to prevent the failure (S303). Consequently, it is possible to estimate a failure without fail when an elevator is operated normally.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

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

[0002]

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

[0003]

However, in the above-mentioned prior art, since an elevator causes some malfunction or a primary malfunction and then responds to a malfunction or repair, a malfunction occurs in advance. Replacement, maintenance, and repair of parts that are likely to occur were delayed, leading to actual failure. Since an elevator is a means of transportation, the occurrence of a failure is not likely to lead to a decrease in service of a building.

Accordingly, the present invention has been made to solve the above-described problems of the prior art, and a lift capable of predicting a failure based on the operation status of the lift and performing advance processing so as not to cause the failure. It is an object of the present invention to obtain a failure prediction device.

[0005]

According to the present invention, there is provided a failure prediction apparatus for an elevator, comprising: a measurement value table for storing measurement values for a plurality of measurement items associated with the operation of the elevator for each measurement month and day; A failure history table that stores the failure date of each item, and a predicted value given by the measured value of the corresponding item in the past from the failure date stored in the above measurement value table when a failure occurs in the elevator for each monitoring item In the monitoring data table to be stored in, the elevator is operated, and the measured values for each of the measurement dates and times for a plurality of measurement items obtained during operation are stored in the measured value table,
Control means for storing the date and time of occurrence of a failure for each failure item in the failure history table when a failure occurs in the elevator; and a monitoring data table for predicting a value for each monitoring item based on the contents of the measurement value table and the failure history table. And a prediction means for outputting a prediction signal notifying in advance of a failure of the monitored item when the data of the measured value table is within a predetermined range with respect to the predicted value of the monitored data table. It is.

In the monitoring data table, when a failure occurs in the elevator, a monitoring point value given as a measured value of the corresponding item in the past from the failure date stored in the measured value table is stored as the predicted value. The prediction means outputs the prediction signal for notifying the failure of the monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the monitoring point value of the monitoring data table. It is characterized by the following.

[0007] The monitoring data table has a monitoring graph tendency as a predicted value, which is given by a graph tendency of the measured value of the corresponding item in the past from the date of the failure occurrence stored in the measured value table when a failure occurs in the elevator. Is stored for each monitoring item, and when the data in the measurement value table falls within a predetermined range with respect to the value of the monitoring graph tendency in the monitoring data table, the prediction means predicts the failure of the monitoring item in advance. Is output.

The control means operates the elevator in a predetermined pattern while the elevator is stopped, stores the measured values for a plurality of measurement items for each measurement month and day in the measured value table, and The failure prediction is performed during a normal operation state.

The control means stores the measured values for a plurality of measurement items for a plurality of measurement items in the normal operation state of the elevator in the measured value table, and the predicting means performs the failure prediction in the normal operation state. This is performed during the state.

[0010] The present invention is also characterized in that the measurement value table is provided for each of a plurality of elevators, and a predicted value stored in the monitoring data table is an average value of the plurality of elevators.

In addition, the measurement value table, the failure history table and the control means are provided on the building side, the monitoring data table and the prediction means are provided on the monitoring center, and transmission means are provided on the building side and the monitoring center side. The predicting means is provided for storing a 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 through the transmitting means, and performing a failure prediction. It is characterized by the following.

[0012] Further, the prediction means is characterized in that when a prediction signal is output, the corresponding building name, building number and elevator number are notified.

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

The control means measures an elevator landing time as a measured value and stores the measured time in the measured value table, and the predicting means measures the elevator landing time based on the measured value of the elevator landing time. It is characterized in that a failure prediction of a control system is performed.

The control means measures the door opening time of the elevator as a measured value and stores the measured time in the measured value table. The predicting means calculates the door opening time based on the measured value of the elevator door opening time. It is characterized in that a failure prediction of a control system is performed.

Further, the control means measures the door closing time of the elevator as a measured value and stores the measured time in the measurement value table, and the predicting means measures the door closing time based on the measured value of the elevator door closing time. It is characterized in that a failure prediction of a control system is performed.

The control means measures an elevator brake release time as a measured value and stores the measured time in the measured value table, and the predicting means calculates a brake system time based on the measured value of the elevator brake release time. Is performed.

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

The control means measures the unlocking time of the elevator hall door as a measured value and stores the time in the measured value table. The predicting means measures the unlocking time of the elevator hall door. It is characterized in that a failure of the lock of the landing door is predicted based on the value.

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

The control means measures the temperature of the hoist as a measured value and stores the measured value in the measured value table, and the predicting means controls the hoist based on the measured value of the temperature of the hoist. It is characterized by performing a machine failure prediction.

The control means measures the temperature of the elevator machine room as a measured value and stores the measured temperature in the measured value table, and the predicting means calculates the hoist based on the measured value of the elevator machine room temperature. It is characterized by performing a machine failure prediction.

In addition, the control means measures the time required for the escalator to operate during a stop and reaches a normal speed and stores the measured value in the measured value table as the measured value. The escalator is predicted for failure based on a measured value of a time required to reach a speed.

In addition, the control means measures the time from when the escalator is stopped during operation to the time when the escalator is stopped and stores the measured value in the measured value table, and the predicting means determines whether the escalator is stopped until the escalator is stopped. Escalator failure prediction is performed based on the measured time.

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

[0026]

BEST MODE FOR CARRYING OUT THE INVENTION

Embodiment 1 FIG. The failure estimating device for an elevator according to the present invention predicts a failure based on the operating status of the elevator and processes in advance so as not to cause a failure.When a failure occurs, what is the data of each part before that? And grasp it as an alarm before the occurrence of a failure, and issue a pre-alarm in advance when the actual data approaches the value of the alarm so that it does not lead to a real failure. .

That is, in the first embodiment, failure prediction is performed according to a process described later. A virtual call is generated during a stop when no person is on the elevator, and data of the measurement value table shown in FIG. 6 is obtained for each car every month. At the time of failure occurrence, information indicating which part of the failure occurred in which month and on which day is created as a failure history table shown in FIG. A monitoring data table shown in FIG. 20 is created in which data of a predetermined month before the occurrence of the failure is set as a failure prediction target (prediction value: monitoring point value and monitoring graph tendency value). It detects whether the value approaches the value from the measured data and predicts the failure.

Hereinafter, a specific description will be given with reference to the drawings.
FIG. 1 is a block diagram showing an entire configuration of a failure prediction device for an elevator according to the present invention. In FIG. 1, 11,.
1N is an elevator control device of the 1st to Nth units installed in the building, 20 is an elevator group management device for managing the elevators of the 1st to the Nth units, and 30 is a failure prediction device. Provided for each building. Reference numeral 40 denotes a telephone line, and reference numeral 50 denotes a center device on the monitoring center side connected to the failure prediction device 30 of each building via the telephone line 40.

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

The center device 50 includes a CPU 50a as 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, a CRT (display) 50e, a keyboard (KB) 50f, and a printer (PRT) 50g for data transmission via the PC 40 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 flowcharts shown in FIGS. 3 to 5 show the ROM of the failure prediction device 30.
It is a flowchart which shows the pre-measurement operation | movement stored based on the control of CPU30a stored in 30b. First,
It is determined whether one month has elapsed since the previous measurement (step S1), and if it has elapsed, it is determined whether or not "0:00" (step S2). If it is "0:00" To
It is determined whether or not the elevator has moved during this time period 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, when the elevator has not moved, it is determined whether or not the elevator is currently stopped (Step S).
5) If not stopped, the process proceeds to step S4.
If stopped, the current date is stored in the RAM 30c (step S6), and transmission between the elevator of the first car and the failure prediction device is started (step S7).

Thereafter, the flow shifts to FIG. 4, and 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), the elevator is driven to the top floor in each floor stop operation (step S11), and during each floor stop operation, data from the travel time of the measurement items in the table shown in FIG. 6 to the unlocking time of the landing door is calculated. It is stored in the RAM 30c (step S12). Thereafter, a virtual call to the lowest floor is generated (step S13), and during the full-speed running operation, the data of the full-speed running time of the measurement items in the table shown in FIG. 6 is calculated and stored in the RAM 30c (step S14).

Further, moving to FIG. 5, the number of the car is incremented by 1 to measure the next elevator (step S15).
It is determined whether or not the measurement of all units has been completed (step S1).
6) When the measurement of all the units is completed, the tables shown in FIG.
It is stored in M50c (step S17). Thereafter, 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 flowcharts shown in FIGS. 3 to 5, as shown in FIG. 6, a measurement value table for storing the measurement values for the measurement items for each measurement date is obtained.
These data are stored in the AM 30c, are obtained for each car, and are 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 travel time will be described with reference to FIG. It is determined whether the door of the elevator car is closed and a traveling command is issued (step S1).
01), when a driving command is issued, the current time t1 is set to RA
It is stored in M30c (step S102).

Next, it is determined whether or not the car has traveled (step S103), and the car is stopped after traveling and whether or not the brake is applied (step S104). When the brake is applied, the current time t2 is stored in the RAM 30c (step S105), and the travel 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. (Step S107).

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

Thereafter, it is determined whether the car has stopped and the brake has been 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 same location in the table shown in FIG. 6 in the RAM 30c (step S116).

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

Thereafter, it is determined whether or not the car door has been opened and has been fully opened (step S123). When the door is fully opened, 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) (step S125), and the calculation result is
It is stored at the same location in the table shown in FIG. 6 in the AM 30c (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). When the door closing command is issued, the current time t7 is stored in the RAM 30c (step S132).

Thereafter, it is determined whether the car door has been closed and the car has been fully closed (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) (Step S135), and the calculation result is expressed as R
It is stored in the same location in the table shown in FIG. 6 in the AM 30c (step S136).

Next, the calculation of the brake release time will be described with reference to FIG. First, it is determined whether or not the car has a traveling direction and a brake release command has been issued (step S141). If the brake release command has been issued, the current time t9 is stored in the RAM 30c (step S14).
2).

Thereafter, it is determined whether or not the brake has been released and the brake release detection contact (not shown) has been closed (step S143). When the brake release detection contact is closed, the current time t10 is stored in the RAM 30c (step S1).
44), brake release time, that is, time difference (t10−t
9) (step S145), and the calculation result is represented by R
It is stored in the same location in the table shown in FIG. 6 in the AM 30c (step S146).

Next, the calculation of the brake braking time will be described with reference to FIG. First, it is determined whether the car has stopped and a brake braking command has been issued (step S151).
When a brake braking command is issued, the current time t11 is set to RA
It is stored in M30c (step S152).

Thereafter, it is determined whether 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 represented by R
It is stored in the same place in the table shown in FIG. 6 in the AM 30c (step S156).

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

Thereafter, it is determined whether or not a contact (not shown) for detecting that the landing door has been unlocked has been closed (step S163). When the contact is closed, the current time t14 is set to R
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. (Step S166).

Next, the full speed travel time and other calculations will be described with reference to FIGS. In FIG. 13, first, it is determined whether the door is closed and a traveling command is issued (step S171). When the traveling 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). After running, it is determined whether or not the car has stopped and the brake has been applied (step S174).
When the brake is applied, the current time t16 is stored in the RAM 30
c (step S175), and calculates the full-speed running time, that is, the time difference (t16-t15), and stores the calculation result in the same place in the table shown in FIG. 6 in the RAM 30c (step S176).

Next, referring to FIG. 15, the current temperature of the hoist motor is stored in the RAM 30c in the same place of the table shown in FIG. 6 in the RAM 30c by the thermometer provided to the hoist motor in the elevator machine room. Then, the current temperature of the elevator machine room is stored in the RAM 30c at the same location in the table shown in FIG. 6 by the thermometer provided in the elevator machine room (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, FIG. 1 shows the setting of the monitoring point value.
6 to FIG. 18, the failure history table shown in FIG. 19, and the monitoring data table shown in FIG. The failure history table shown in FIG. 19 stores a failure date and time for each failure item when a failure occurs. The monitoring data table shown in FIG. 20 is a measurement value table shown in FIG. Is stored for each monitoring item, and a predicted value given by a measured value of the corresponding item in the past from the date of occurrence of the failure stored in the table is stored for each of the units.

First, it is determined whether a failure has occurred in the elevator (step S201). If a failure has occurred, the fact that a failure has occurred in the center device 50 via the failure prediction device 30 is reported to the transmission devices 30f and 50d. And transmission via the telephone line 40 (step S202). Center device 50
Then, the name and the building number of the building where the failure has occurred are displayed and printed (step S203).

Based on this, the clerk is dispatched to the relevant building to determine the cause of the failure, analyzes which item in the failure history table shown in FIG. 19 corresponds, and then uses the keyboard 50f of the center device 50 to display the failure history shown in FIG. Enter the date of failure occurrence in the corresponding item column of the table (step S20)
4).

After that, the processing shifts to FIG. 17, and FIG. 6 about two months before the date of the failure occurrence in the failure history table shown in FIG.
20 is temporarily stored in the RAM 50c in order to move the measured value P1 of the corresponding item of the measured value table to the monitoring point value column (step S205), and the corresponding value of the monitoring data table shown in FIG. Is determined (step S206).

If a numerical value is already stored in the monitoring data table, an average of the monitoring point value P1 obtained in step S205 and the already stored monitoring point value P2 is shown in FIG. The prediction value is corrected and updated by storing it in the corresponding column of the table (step S207). On the other hand, if no numerical value is 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, moving to FIG. 18, the graph tendency of the past data from the corresponding monitoring point value is calculated from the measured value table shown in FIG. 6, and is moved to the monitoring graph tendency value column (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 unit.

Next, the operation of making a failure prediction based on these tables will be described with reference to FIG. 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 monitoring point value and the monitoring graph tendency value of the monitoring data table shown in FIG. Is determined (step S301), and if it falls within the range, the corresponding building name and building number, and the contents of the elevator and monitoring items are displayed / printed as a prediction signal (step S302). Then, the clerk sees it and rushes to the site, performs an inspection or the like before the occurrence of a failure to prevent the occurrence of the failure in advance (step S303).

Further, the elevator group management device 20 and the check operation of the elevator will be described with reference to the flowchart shown in FIG. First, it is determined whether or not all of the pre-measurement processes shown in FIGS. 3 to 5 have been completed (step S401).
Generates and transmits up / down calls for all landings to the elevator group management device 20 (step S40).
2). Thereafter, when the up / down calls of all the halls are answered, it is determined whether or not there is an elevator that has never moved (step S403). If there is, the building name, the building number, and the elevator number are set to the center. The data is transmitted to the device 50 (step S404). If not, the process ends. As a result, a staff member is dispatched and a failure can be dealt with (step S405).

That is, while 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 operated). 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 the call and responds to the call. ) Can be detected.

The present invention can be practiced in accordance with an embodiment described later. Embodiment 2 FIG. As an elevator, the present invention can be similarly applied to a device that moves an object by a motor in addition to an elevator (including an escalator).

Embodiment 3 Rather than temporarily operating the elevator during a halt to obtain measurement values for measurement items for each measurement month and day, the same can be achieved by taking measurement values during actual operation.

Embodiment 4 The measured value and the predicted value may be obtained while the elevator is stopped, and the failure prediction may be performed during actual operation. This predicted value is not provided for each individual elevator, but may be statistical data of failure tendency of a large number of elevators, and for example, an average value thereof may be used as the predicted value.

Embodiment 5 The prediction may be performed not on the monitoring center side but on an individual building basis. However, it becomes expensive.

Embodiment 6 FIG. The prediction value may not be averaged with the previous value each time a failure occurs, but may be a value immediately before, for example, a value a predetermined time before the occurrence of the failure.

Embodiment 7 The prediction value may be either one of the monitoring point value and the monitoring graph tendency value instead of both.

Embodiment 8 FIG. As an elevator, the escalator is operated during a stop with no people, and the time until the normal speed is reached at that time is measured at predetermined intervals and stored in a measurement value table, and the time before the occurrence of a failure is determined by the above time. The value is assumed to be the failure prediction value (or graph trend value),
Usually, when the predicted value is approached, it may be notified as a failure prediction, 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. The measured time from when the escalator is stopped during operation to the time when the escalator is stopped is measured and stored in a measurement value table. By performing the escalator failure prediction based on the time measurement value, it is possible to perform the escalator failure prediction based on the time measurement value until the escalator stops.

Embodiment 9 FIG. It goes without saying that the measured value can be similarly applied to any part as long as it is a part that moves mechanically.

[0072]

As described above, according to the failure predicting apparatus for an elevator according to the present invention, a measurement value table for storing measurement values for a plurality of measurement items associated with the operation of the elevator for each measurement month and day is provided. When a failure occurs, a failure history table that stores a failure occurrence date for each failure item, and a predicted value given by a measured value of the corresponding item in the past from the failure occurrence date stored in the measurement value table when an elevator failure occurs. A monitoring data table to be stored for each monitoring item and an elevator operated to store measured values for a plurality of measurement items obtained during operation for each measurement month and day in the above-mentioned measurement value table, and for each failure item when an elevator failure occurs. Control means for storing the date of occurrence of the failure in the failure history table, and prediction for each monitoring item based on the contents of the measurement value table and the failure history table Is stored in the monitoring data table, and when the data of the measurement value table is within a predetermined range with respect to the predicted value of the monitoring data table, a prediction signal for notifying a failure of the monitoring item in advance is output. With this configuration, it is possible to obtain a failure prediction device for an elevator that can predict a failure based on the operation status of the elevator and perform processing in advance so as not to cause a failure.

In the monitoring data table, a monitoring point value given by a measured value of a corresponding item in the past from the date of the failure occurrence stored in the measured value table at the time of occurrence of a failure of the elevator as a predicted value is used as a predicted value. The prediction means outputs the prediction signal for notifying the failure of the monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the monitoring point value of the monitoring data table. As a result, as a predicted value to be stored in the monitoring data table, a monitoring point value given as a measured value of the corresponding item in the past from the date of the failure occurrence stored in the measured value table is stored, and based on the monitored point value. Failure can be predicted in advance.

Further, the monitoring data table has a monitoring graph tendency as a predicted value, which is given by a graph tendency of the measured value of the corresponding item in the past from the date of the failure occurrence stored in the measured value table when the failure of the elevator occurs. Is stored for each monitoring item, and when the data in the measurement value table falls within a predetermined range with respect to the value of the monitoring graph tendency in the monitoring data table, the prediction means predicts the failure of the monitoring item in advance. By outputting a prediction signal that informs the monitoring graph table, the predicted value stored in the monitoring data table is used as the predicted value stored in the measured value table and the graph trend of the measured value of the corresponding item in the past from the date of the failure occurrence is given. By storing the value, a failure can be predicted in advance based on the value of the monitoring graph tendency.

The control means operates the elevator in a predetermined pattern while the elevator is at rest, stores the measured values for a plurality of measurement items for each measurement date in the measured value table, and By performing the failure prediction in the normal operation state, it is possible to obtain the measurement value table in advance while the elevator is stopped, and to perform the failure prediction in the actual normal operation based on the measurement value table.

The control means stores the measured values for a plurality of measurement items for each of the measurement items in the normal operation state of the elevator in the measured value table, and the predicting means performs the failure prediction in the normal operation state. By performing the operation in the state, the measurement value table is obtained in the normal operation state, not during the suspension of the elevator, and the failure can be predicted based on the table without lowering the service.

Further, the above-mentioned 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. By setting the value, the monitoring data table and the prediction means cannot be provided for each elevator and can be shared, and the configuration of the entire system can be inexpensive.

Further, the above-mentioned measurement value table, the above-mentioned failure history table and the above-mentioned control means are provided on the building side, the above-mentioned monitoring data table and the above-mentioned prediction means are provided on the monitoring center, and the transmitting means is provided on the building side and the monitoring center side. The predicting means is provided for storing a 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 through the transmitting means, and performing a failure prediction. Accordingly, the monitoring center can remotely monitor the failure prediction of the elevator installed on the building side.

Further, when the prediction means outputs the prediction signal, it informs the building name, the building number and the machine number of the elevator, whereby the building and the elevator can be specified at the time of the failure prediction.

The control means measures the travel time of the elevator as a measured value and stores the measured travel time in the measured value table, and the predicting means controls the speed control system based on the measured travel time of the elevator. By performing the failure prediction, it is possible to perform the failure prediction of the speed control system based on the measured value of the traveling time of the elevator.

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

The control means measures the door opening time of the elevator as a measured value and stores the measured time in the measured value table, and the predicting means measures the door opening time based on the measured value of the elevator door opening time. By performing the failure prediction of the control system, the failure prediction of the door opening control system can be performed based on the measured value of the door opening time of the elevator.

Further, the control means measures the door closing time of the elevator as a measured value and stores the measured time in the measured value table, and the predicting means measures the door closing time based on the measured value of the elevator door closing time. By performing the failure prediction of the control system, it is possible to perform the failure prediction of the door closing control system based on the measured value of the door closing time of the elevator.

The control means measures an elevator brake release time as a measured value and stores it in the measured value table, and the predicting means calculates a brake system time based on the measured value of the elevator brake release time. , It is possible to predict the failure of the brake system based on the measured value of the brake release time of the elevator.

The control means measures the elevator braking time as a measured value and stores it in the measured value table, and the predicting means calculates the braking system time based on the measured value of the elevator braking time. , It is possible to predict the failure of the brake system based on the measured value of the brake braking time of the elevator.

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

The control means measures the elevator full-speed travel time as a measured value and stores the measured value in the measured value table, and the predicting means calculates the elevator full-speed travel time based on the measured value of the elevator full-speed travel time. By performing the failure prediction of the speed control system, it is possible to perform the failure prediction of the speed control system of the elevator based on the measured value of the full-speed traveling time of the elevator.

The control means measures the temperature of the hoist as a measured value and stores the measured temperature in the measured value table, and the predicting means measures the temperature of the hoist based on the measured value of the temperature of the hoist. By performing the machine failure prediction, it is possible to perform the machine failure prediction based on the measured value of the temperature of the machine.

The control means measures the temperature of the elevator machine room as a measured value and stores the measured temperature in the measured value table, and the predicting means hoists based on the measured value of the elevator machine room temperature. By performing the failure prediction of the machine, it is possible to perform the failure prediction of the hoist based on the measured value of the temperature of the elevator machine room.

In addition, the control means measures the time from when the escalator is stopped during operation to when the escalator reaches a normal speed and stores the measured time in the measured value table as the measured value. By performing the failure prediction of the escalator based on the measured value of the time until the speed reaches the speed, it is possible to perform the failure prediction of the escalator based on the measured value of the time until the escalator reaches the normal speed.

The control means measures the time from when the escalator is stopped during operation to the time when the escalator is stopped, and stores the measured time in the measured value table. The predicting means determines whether the escalator is stopped until the escalator is stopped. By performing the failure prediction of the escalator based on the measured value of the time, the failure prediction of the escalator can be performed based on the measured value of the time until the escalator stops.

[0092] Further, if a predicted value is already stored in the monitoring data table at the time of occurrence of a failure, the predicting means is based on the stored predicted value and a new predicted value obtained with the occurrence of the failure. By correcting and updating the predicted value stored in the monitoring data table, an accurate failure prediction can be performed by correcting and updating the predicted value stored in the monitoring data table.

[Brief description of 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.

FIG. 2 shows the failure prediction device 30 and the center device 50 shown in FIG.
FIG.

FIG. 3 is a ROM 3 of the failure prediction device 30 shown in FIGS. 1 and 2;
It is a flowchart which shows the pre-measurement operation | movement stored based on the control of CPU30a stored in 0b.

FIG. 4 is a flowchart following FIG. 3;

FIG. 5 is a flowchart following FIG. 4;

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

FIG. 7 is a flowchart illustrating a calculation of a travel time as a measured value of a measured value table.

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

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

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

FIG. 11 is a flowchart illustrating a calculation of a brake release time as a measured value of a measured value table.

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

FIG. 13 is a flowchart illustrating the calculation of the unlocking time of the landing door as a measured value of the measured value table.

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

FIG. 15 is a flowchart following FIG. 14;

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

FIG. 17 is a flowchart following FIG. 16;

FIG. 18 is a flowchart following FIG. 17;

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 a 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.

Claims (21)

[Claims] 1. A measurement value table for storing measurement values for a plurality of measurement items associated with the operation of an elevator for each measurement date, a failure history table for storing a failure occurrence date for each failure item when an elevator failure occurs, When a failure occurs in the elevator, a monitoring data table that stores, for each monitoring item, a predicted value given by the measured value of the corresponding item in the past from the date of the failure stored in the measurement value table, and the elevator is operated. Control means for storing, in the above-mentioned measured value table, measured values for each of the measurement dates for a plurality of measurement items obtained at the same time, and for storing the failure occurrence date for each of the failure items in the above-mentioned failure history table when a failure occurs in the elevator; A predicted value is stored in the monitoring data table for each monitoring item based on the contents of the measurement value table and the failure history table, and the measurement value table is stored. Failure prediction system of the elevator machine and a prediction unit for outputting a prediction signal notifying in advance a failure of the corresponding monitored item if within the predetermined range data to the predicted value of the monitoring data table. 2. The monitoring data table according to claim 2, wherein a monitoring point value given by a measured value of a corresponding item in the past from a failure date stored in the measured value table is stored as a predicted value when a failure occurs in the elevator. The prediction means outputs the prediction signal for notifying the failure of the monitoring item in advance when the data of the measurement value table is within a predetermined range with respect to the monitoring point value of the monitoring data table. The failure prediction device for an elevator according to claim 1, wherein: 3. The monitoring data table, wherein the monitoring data table is provided with, as a predicted value, a monitoring graph tendency given by a graph tendency of a measured value of a relevant item in the past from a failure date stored in the measured value table when a failure occurs in the elevator. Is stored for each monitoring item, and when the data in the measurement value table falls within a predetermined range with respect to the value of the monitoring graph tendency in the monitoring data table, the prediction means predicts the failure of the monitoring item in advance. 3. A failure prediction device for an elevator according to claim 1, wherein a prediction signal is output to notify the failure. 4. The control means operates the elevator in a predetermined pattern while the elevator is at rest, stores the measured values for a plurality of measurement items for each measurement month and day in the measured value table, 4. The failure prediction device for an elevator according to claim 1, wherein the failure prediction is performed in a normal operation state. 5. The control means stores, in the measurement value table, measured values for a plurality of measurement items for each of a plurality of measurement items in a normal operation state of the elevator in the measured value table. The failure prediction device for an elevator according to any one of claims 1 to 3, wherein the failure prediction is performed in a state. 6. The method according to claim 1, wherein the measurement value table is provided for each of a plurality of elevators, and a predicted value stored in the monitoring data table is an average value of the plurality of elevators. A failure prediction device for an elevator according to any one of the above. 7. The building is provided with the measurement value table, the failure history table and the control means, the monitoring data table and the prediction means are provided in a monitoring center, and transmission means is provided on the building side and the monitoring center side. The predicting means is provided for storing a 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 through the transmitting means, and performing a failure prediction. The failure prediction device for an elevator according to any one of claims 1 to 6, wherein: 8. The prediction means, when outputting a prediction signal,
8. The apparatus for estimating a failure of an elevator according to claim 7, wherein a corresponding building name, a building number, and an elevator number are notified. 9. The control means measures the travel time of the elevator as a measured value and stores the measured travel time in the measured value table, and the predicting means controls the speed control system based on the measured travel time of the elevator. The failure prediction device for an elevator according to any one of claims 1 to 8, wherein failure prediction is performed. 10. The control means measures the landing time of the elevator as a measured value and stores the measured value in the measurement value table, and the prediction means determines the landing time based on the measured value of the elevator landing time. The failure prediction device for an elevator according to any one of claims 1 to 9, wherein the failure prediction of the control system is performed. 11. The control means measures the door opening time of the elevator as a measured value and stores the measured time in the measured value table, and the predicting means measures the door opening time based on the measured value of the elevator door opening time. The failure prediction device for an elevator according to any one of claims 1 to 10, wherein failure prediction of a control system is performed. 12. The control means measures an elevator door-closing time as a measured value and stores the measured time in the measured value table, and the predicting means calculates a door-closing time based on the measured value of the elevator door-closing time. The failure prediction device for an elevator according to any one of claims 1 to 11, wherein failure prediction of the control system is performed. 13. The control means measures a brake release time of the elevator as a measured value and stores the measured time in the measured value table, and the predicting means calculates a brake system based on the measured value of the elevator brake release time. The failure prediction apparatus for an elevator according to any one of claims 1 to 12, wherein the failure prediction is performed. 14. The control means measures the brake braking time of the elevator as a measured value and stores the measured value 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. 14. The failure prediction device for an elevator according to claim 1, wherein the failure prediction is performed. 15. The unlocking time of an elevator hall door is measured as a measured value and stored in the measured value table, and the predicting means measures the unlocking time of the elevator hall door. The failure prediction device for an elevator according to any one of claims 1 to 14, wherein failure prediction of a lock of the landing door is performed based on the value. 16. The control means measures the full-speed travel time of the elevator as a measured value and stores the measured value in the measured value table, and the predicting means calculates the elevator travel time based on the measured value of the full-speed travel time of the elevator. The failure prediction device for an elevator according to any one of claims 1 to 15, wherein failure prediction of a speed control system is performed. 17. The control means measures the temperature of the hoist as a measured value and stores the measured temperature in the measured value table, and the predicting means calculates the hoist based on the measured value of the temperature of the hoist. The failure prediction device for an elevator according to any one of claims 1 to 16, wherein failure prediction of the elevator is performed. 18. The control means measures the temperature of the elevator machine room as a measured value and stores the measured value in the measured value table, and the predicting means hoists based on the measured value of the elevator machine room temperature. The failure prediction device for an elevator according to any one of claims 1 to 17, wherein failure prediction of the elevator is performed. 19. The control means, as a measured value, measures the time from when the escalator is operated during a stop to reach a normal speed, and stores the measured time in the measured value table. The failure prediction device for an elevator according to any one of claims 1 to 8, wherein failure prediction of the escalator is performed based on a measured value of a time required to reach a speed. 20. The control means, as a measured value, measures the time from when the escalator is stopped during operation to when it is stopped, and stores the measured time in the measured value table. 20. The failure prediction device for an elevator according to claim 1, wherein the failure prediction of the escalator is performed based on the measured value of the time. 21. The prediction means, if a predicted value is already stored in the monitoring data table at the time of occurrence of a failure, based on the stored predicted value and a new predicted value obtained with the occurrence of the failure. 21. The failure prediction device for an elevator according to claim 1, wherein the prediction value stored in the monitoring data table is corrected and updated.