JP4588773B2 - Elevator abnormality detection device - Google Patents

Description

The present invention, in the inspection operation to be performed by the elevator, for example, to a failure detection device for an elevator that detects a caught like rope.

  In an elevator, an inspection operation is performed after a building is shaken by an earthquake or a strong wind, and it is determined whether or not an abnormality has occurred in the elevator, that is, whether or not there is an abnormality in the elevator. Also, in the inspection operation (also referred to as diagnostic operation) that is regularly performed by the elevator, the presence / absence of abnormality is determined. In such an inspection operation, although the operation conditions and inspection contents are changed according to the start conditions and the like, in general, the determination of the presence or absence of an abnormality is made by determining various normal signal values (patterns) when the elevator is operating normally. ) And the signal value (signal output value) obtained during the inspection operation.

As a conventional technique related to elevator abnormality determination, for example, a normal signal value (pattern) is set in consideration of vibrations generated during normal operation, and the set value is compared with a signal value obtained during an inspection operation after an earthquake. Has been proposed (see Patent Document 1).
As another conventional technique, the average value and the standard deviation value of the elevator operation data are calculated, and each difference between the calculation result and the previous calculation result is compared with that of the elevator of the same type. There has also been proposed a method for determining a failure sign (see, for example, Patent Document 2).

JP 57-117482 A JP-A-8-225266

  In conventional elevators including those described in Patent Document 1, a reference pattern of a signal detected during normal running and a threshold for detecting an abnormality of the elevator are stored in advance in a memory, and a signal obtained during inspection operation An elevator abnormality was detected when the value deviated from the reference pattern to a threshold value or more. In order to prevent malfunction in abnormality determination, generally, the threshold value is set to a certain large value (for example, twice the normal value). However, with such a threshold setting, the range in which it is determined that there is no abnormality is widened and the detection of the abnormality is delayed, which may increase the damage during the inspection operation.

  In order to minimize the damage incurred during the inspection operation, the elevator must be stopped immediately after the abnormality is detected, and the distance from when the abnormality is detected until the car stops must be shortened. For this reason, the traveling speed of the car during inspection operation (hereinafter also referred to as “inspection speed”) must be set to a very slow speed, and there is a problem that it takes a long time to complete the inspection operation. It was.

Moreover, in the thing of patent document 2, the calculation of the average value of a motion data and a standard deviation value, the calculation of the difference with the average value and standard deviation value which were collected last time, and the thing of the elevator of the same type as each said difference Various measurements and calculations such as comparison are required. For this reason, in order to perform the said measurement and calculation, there existed a problem that much time and load were needed, and also large storage capacity was needed.
In addition, the thing of patent document 2 measures the said operation data for every predetermined time, and when the obtained measurement data reaches a predetermined amount, the said average value and a standard deviation value are calculated, etc. It is configured. That is, this corresponds to the inspection operation periodically performed by the elevator, and does not correspond to the inspection operation suddenly performed after the occurrence of an earthquake or the like.

The present invention has been made to solve the above-described problems. The purpose of the present invention is to appropriately set a threshold value for detecting an abnormality of the elevator, thereby preventing a delay in detecting the abnormality, thereby performing inspection. It is an object of the present invention to provide an elevator abnormality detection device capable of speeding up operation and further reducing a threshold setting time and a storage capacity necessary for the setting.

The elevator abnormality detection device according to the present invention stores in advance a reference pattern during normal running of a predetermined signal related to an elevator and a threshold value for detecting an abnormality, and outputs an output value of a signal during an elevator inspection operation. and by comparing the reference pattern, there is determined the presence or absence of abnormality based on a threshold, calculates the standard deviation from the measured value of the signal measured during the normal traveling, by the coefficient multiplying the standard deviation the obtained value, the abnormality detecting device for an elevator for storing a threshold value for detecting an abnormality, limit the position of the elevator to measure a signal, a portion of the lifting stroke of the elevator, including a generation position of the maximum amplitude of the signal to, as well as calculating the standard deviation of the signal, the operation result, and the standard deviation of the signal in a predetermined section including the other portion except a portion part of the lifting stroke Is shall.

The elevator abnormality detection device according to the present invention stores in advance a reference pattern during normal running of a predetermined signal related to an elevator and a threshold value for detecting an abnormality, and the signal is detected during an elevator inspection operation. Comparing the output value with the reference pattern and determining the presence or absence of an abnormality based on a threshold value, calculating the standard deviation from the measured value of the signal measured during normal driving and multiplying the standard deviation by a factor In an elevator abnormality detection device that stores the value obtained as a threshold for detecting an abnormality, measurement is performed by using the relationship between the standard deviation of the signal obtained at at least two speeds and the speed. The standard deviation of the signal calculated from the value is corrected to the standard deviation of the inspection speed.
The elevator abnormality detection device according to the present invention stores in advance a reference pattern during normal running of a predetermined signal related to an elevator and a threshold value for detecting an abnormality, and the signal is detected during an elevator inspection operation. Comparing the output value with the reference pattern and determining the presence or absence of an abnormality based on a threshold value, calculating the standard deviation from the measured value of the signal measured during normal driving and multiplying the standard deviation by a factor In the elevator abnormality detection device that stores the value obtained by this as a threshold value for detecting an abnormality, the standard deviation causes the elevator to travel a specified number of times, and the hoisting machine torque current for the elevator at a predetermined position of each traveling. In addition to measuring and calculating, the specified number of times is determined by the temperature characteristics of the hoist resulting from the number of times the elevator torque travels the hoist It is intended to be.

  According to the present invention, it is possible to speed up the inspection operation by appropriately setting the threshold value for detecting the abnormality of the elevator and preventing the delay of the abnormality detection. The storage capacity required for setting can be reduced.

  In order to explain the present invention in more detail, it will be described with reference to the accompanying drawings. In addition, in each figure, the same code | symbol is attached | subjected to the part which is the same or it corresponds, The duplication description is simplified or abbreviate | omitted suitably.

Embodiment 1 FIG.
1 is a block diagram showing an elevator abnormality detection apparatus according to Embodiment 1 of the present invention. This elevator has a function of performing an inspection operation after a building is shaken by an earthquake, strong wind, or the like, and determining whether an abnormality has occurred in the elevator. That is, a reference pattern during normal travel of a predetermined signal related to an elevator and a threshold value for detecting an abnormality are stored in advance, and during inspection operation, the output value of the signal is compared with the reference pattern, The presence / absence of abnormality is determined based on the threshold value.
Below, the specific structure of the said abnormality detection apparatus is demonstrated.

  In FIG. 1, reference numeral 1 denotes a control device provided in an elevator control panel. This control apparatus 1 comprises the principal part of an abnormality detection apparatus, and is provided with the memory | storage part 2 and the calculating part 3, for example. The storage unit 2 has a function for storing a measurement result and a calculation result. For example, a measurement value 4, a reference pattern value 5, an average value 6, and a threshold value 7 for abnormality determination are stored. Is done. Further, the calculation unit 3 has a function for performing a calculation necessary for performing the inspection operation and a calculation necessary for the inspection operation. For example, the reference pattern creating unit 8, the average value calculation unit 9, A threshold calculation unit 10 and an abnormal signal detection unit 11 are provided.

The measured value 4 is a signal (for example, the torque current value of the hoisting machine, the output value of the scale device, etc.) that is a target of abnormality determination in the inspection operation, and is a value measured when the elevator normally travels (normal signal). Value). The measured value 4 is stored when the elevator that normally travels reaches a predetermined position (or a predetermined time).
The reference pattern creation unit 8 has a function of creating a reference pattern used when determining the presence or absence of abnormality in the inspection operation, that is, a reference pattern of a signal detected during normal running. The reference pattern created by the reference pattern creation unit 8 is stored in the storage unit 2 as the reference pattern value 5.

The average value calculation unit 9 has a function of calculating the average value based on the plurality of measurement values 4 stored in the storage unit 2. The calculation result by the average value calculation unit 9 is stored in the storage unit 2 as the average value 6.
The threshold value calculation unit 10 has a function of calculating a threshold value for detecting an abnormality of the elevator. Specifically, the threshold value calculation unit 10 calculates a variance based on the measured value 4 and the average value 6 stored in the storage unit 2, and calculates the threshold value based on the result. And the calculation result by this threshold value calculation part 10 is memorize | stored in the memory | storage part 2 as the threshold value 7 for performing abnormality determination in inspection driving | operation.

  The abnormality signal detection unit 11 has a function of detecting an abnormality of the elevator in the inspection operation based on the reference pattern value 5 and the threshold value 7 stored in the storage unit 2. For example, when the signal value obtained during the inspection operation deviates from the reference pattern value 5 by the threshold value 7 or more, the abnormal signal detection unit 11 detects the signal value as an abnormal signal.

Next, a specific operation of the control device 1 having the above configuration will be described. FIG. 2 is a flowchart showing the operation of the elevator abnormality detection apparatus according to Embodiment 1 of the present invention, and shows an operation flow for setting the threshold value 7.
In the elevator, an operation for setting the threshold 7 is started when a predetermined condition is satisfied or a predetermined command is input from the outside. Specifically, first, a predetermined traveling command for the elevator is output (S101). The control device 1 determines the number of travels by outputting a travel command in S101 (S102). If it is determined in S102 that the current number of times of travel has not reached a predetermined number of times, travel based on a predetermined travel speed and direction is started based on the travel command in S101 (S103).

  When the traveling of the elevator is started in S103, the control device 1 determines whether or not the current position of the elevator has reached a predetermined position for storing the measured value 4 (hereinafter also referred to as “storage position”). Determine (S104). The storage position is determined in advance before the operation for setting the threshold is started. When the elevator reaches the storage position, the control device 1 measures a predetermined signal (a signal subjected to abnormality determination in the inspection operation, for example, the torque current of the hoisting machine, the output value of the scale device) at the storage position. Then, the measurement result is stored in the storage unit 2 as the measurement value 4 (S105). Then, the recording of the measurement value 4 is repeated until the measurement position is completed, and when the measurement position is completed, one run is ended (S106).

When one run is completed, the same run is started again, and the process returns to S101 to output a run command. Then, the operations shown in S103 to S106 are repeated until the number of times the elevator has traveled reaches a predetermined specified number, and the measured value 4 is recorded at the recording position each time the vehicle travels. Thereafter, when the number of times the elevator has traveled reaches a predetermined specified number of times (Yes in S102), the control device 1 starts a calculation for setting the threshold value 7. Specifically, the control device 1 calculates the average of the measurement values 4 by the average value calculation unit 9 using the measurement values 4 stored in each travel (S107), and the storage unit 2 sets the calculation result as the average value 6. (S108).
Next, the threshold value calculation unit 10 uses the average value 6 and the measurement value 4 stored in the storage unit 2 calculates the variance sigma ² by the following equation.

ここで、Ｎは規定回数、ｘ_ｉは記憶位置における測定値４、Ｍは平均値６を示している。

Here, N is the specified number of times, x _i is the measured value 4 at the storage location, and M is the average value 6.

The threshold calculation unit 10 calculates the standard deviation σ based on the calculation result after the variance σ ² is obtained from the above equation 1. Then, a value obtained by multiplying the standard deviation σ by a predetermined coefficient is stored in the storage unit 2 as the threshold value 7 for detecting abnormality (S109, S110).
In addition, since the variation of the signal is considered to be normally distributed, it is possible to set a threshold value in consideration of the false detection rate during the inspection operation by selecting the coefficient. For example, by setting the threshold value to 3σ (3 times σ, that is, the coefficient is 3) or 6σ (6 times σ, that is, the coefficient is 6), the false detection can be brought close to zero.

  However, lowering the probability of erroneous detection means increasing the threshold value, and this causes a delay in abnormality detection. That is, since the occurrence of erroneous detection and the delay in abnormality detection are in a trade-off relationship, the threshold value needs to be set appropriately for each target for detecting abnormality.

  Further, by using (N−1) as in the following equation, unbiased estimation may be obtained as an estimate of population variance, and the standard deviation σ may be obtained therefrom.

  Increasing the specified number of times N means increasing the number of times the elevator travels. Therefore, if the specified number of times N is increased, the time required to end the series of operations shown in FIG. End up. Further, since the amount of information of the measurement value 4 to be stored increases, the storage capacity also increases. In an actual elevator, there are restrictions on the time for setting the threshold and the storage capacity, so the specified number N cannot be increased unnecessarily. If the prescribed number N is small in the case of using the above formula 2, the standard deviation (threshold value) becomes large and the problem of abnormality detection delay occurs. Therefore, when a sufficient prescribed number N cannot be obtained, it may be better to obtain the standard deviation σ using Equation 1.

On the other hand, in the threshold setting method as described above, if the specified number of times is too small, the signal collected at the storage position may take the same value, and in this case, the variance σ ² becomes zero. If the variance σ ² is present, the threshold value is naturally zero. For this reason, the relationship between the number of data of the signal used for abnormality detection and the standard deviation σ may be examined in advance, and the specified number N of times for obtaining an appropriate standard deviation σ may be determined.

  FIG. 3 is a flowchart showing the operation of the elevator abnormality detection apparatus according to the first embodiment of the present invention. The operation flow in the case where it is difficult to examine in advance the relationship between the number of signal data and the standard deviation σ is shown. Show. In FIG. 3, the operations shown in S201 through S208 are the same as the operations shown in S101 through S108 in FIG.

After storing the average value 6 in the storage unit 2 in S208, the threshold value calculation unit 10 calculates the variance σ ² using the measured value 4 and the average value 6 (S209). Next, the threshold value calculation unit 10 checks whether there is a point where the variance σ ² becomes zero, and if there is a point where the variance σ ² exists, the threshold value calculation unit 10 starts traveling again (increases the specified number N once). The process proceeds to S203 (S210). When the operation flow shown in FIG. 3 is adopted, for example, the minimum required number of times may be determined in advance. Then, when there is no point where the variance σ ² becomes zero in S209, the threshold 7 is obtained by multiplying the variance σ ² calculated in S209 by a predetermined coefficient and stored in the storage unit 2 (S211).

In S210 of FIG. 3, instead of checking whether there is a point at which the variance σ ² becomes zero, it may be checked whether the variance σ ² exceeds a predetermined specified value. In this case, if the variance σ ² does not exceed a predetermined specified value, the process proceeds to S203. With such a configuration, the threshold value 7 can always be set to a certain value or more.

  Next, based on FIG. 4, the case where the threshold value is set by measuring the torque current of the hoisting machine which is the drive device of the elevator will be described. FIG. 4 is a diagram showing the relationship between the hoisting machine torque current and the car position when the threshold is set. The torque current of the hoisting machine does not always show a constant value in one run, but varies depending on the elevator car position as shown in FIG. For this reason, when setting the threshold value for the torque current of the hoisting machine, a plurality of storage positions corresponding to a predetermined car position are determined, and the threshold value is calculated for each storage position.

  On the other hand, when the elevator is continuously run as a characteristic of the torque current of the hoisting machine, a signal (the torque of the hoisting machine) as shown in FIG. Current) fluctuates. When the threshold value is set, if the specified number of running times (the specified number of times N) is small, the fluctuation amount of the signal due to the temperature characteristic is not a problem. However, when the specified number of runnings increases, the amount of fluctuation increases, and fluctuation due to temperature characteristics is measured in addition to the standard deviation originally present in the signal. As a result, there is a problem that the calculated standard deviation σ (threshold value) becomes large, leading to a delay in abnormality detection.

Therefore, the characteristic of the signal, such as the torque current of the hoisting machine, has a variation other than the standard deviation that originally exists in the signal, that is, a variation caused by the number of times the elevator travels. 3 cannot be ignored with respect to the original standard deviation, for example, an upper limit may be set for the prescribed number of times of travel in the operation flow shown in FIG. 3 so that the number of times of travel does not exceed the upper limit. According to such a configuration, an appropriate threshold value can be set in consideration of signal fluctuations caused by temperature characteristics and the like.
In addition, when the relationship between temperature and torque current is known in advance as the temperature characteristics of the hoisting machine, and the fluctuation of the signal caused by the temperature characteristics affects the standard deviation when the temperature exceeds a predetermined temperature The hoisting machine temperature is measured in each run when setting the threshold value (for example, in S205 in FIG. 3), and when the measured value exceeds the predetermined temperature, the specified number of runs is terminated. May be.

Further, for example, when the prescribed number of running times (the prescribed number of times N) is set to 20 and the measured value 4 is stored, the calculation is performed based on the measured value 4 obtained in the first to third running (initial stage of running). The average value _M9-11 calculated based on the average value _M1-3 , the measured value 4 obtained in the ninth to eleventh travel (the middle period of travel), and the 18th to 20th travel (the travel The average value M _18-20 calculated based on the measured value 4 obtained in the final stage) is compared, and the average value used for calculating the standard deviation σ is selected from the average value M _1-20. good.

In this case, for example, if the difference between M _1-3 and M _9-11 is within a predetermined specified value and the difference between M _1-3 and M _18-20 is within the same specified value, The standard deviation σ is obtained using all the measured values 4 measured in 20 runs, assuming that there is no variation other than the original standard deviation such as temperature characteristics. On the other hand, if the difference between M _1-3 and M _9-11 is within a predetermined specified value, but the difference between M _1-3 and M _18-20 exceeds this specified value, The standard deviation σ is obtained using the measured value 4 obtained up to the eleventh run, assuming that signal fluctuations due to temperature characteristics and the like occur after the middle period.

  In this way, the fluctuation is detected from the measured value 4 obtained by running the specified number of times N, and the standard deviation σ is selected from the obtained measured values 4 by selecting the measured value 4 before the fluctuation occurs. If it calculates | requires, it will become possible to obtain suitable standard deviation (sigma), using the measured value 4 effectively. In addition, when the individual difference of the said fluctuation | variation is large, since the number of data to be used is automatically selected according to the said procedure, it becomes a particularly effective means.

  In addition, when a variation other than the original standard deviation occurs only by continuous travel of the elevator, such as the torque current of the hoist, the travel for threshold setting is continuously performed. Instead, it may be divided into several times (days). For example, the running for threshold setting may be performed by shifting the implementation date and performed once a day early in the morning or late at night. According to such a configuration, although it takes time to set the threshold value, it is not necessary to set an upper limit for the prescribed number of travels, and it is possible to appropriately set the standard deviation of the target signal.

  The threshold value 7 stored in the storage unit 2 in this way is used in a check operation that is performed periodically or after the building is shaken by an earthquake or a strong wind. That is, the abnormal signal detection unit 11 is based on the reference pattern value 5 and the threshold 7 stored in the storage unit 2, and the signal value obtained during the inspection operation deviates from the reference pattern value 5 to the threshold 7 or more. In case, an elevator abnormality is detected.

  The creation of the reference pattern by the reference pattern creation unit 8 and the storage in the storage unit 2 may be performed simultaneously with the operation flow shown in FIGS. 2 and 3, or may be performed separately by other means. In addition, this reference pattern may be stored periodically, for example, at a predetermined position or time, or an average value obtained when the elevator travels a specified number of times may be used. Since various methods have already been proposed for creating the reference pattern, a specific description thereof is omitted here.

According to the first embodiment of the present invention, the inspection operation can be speeded up by appropriately setting the threshold for detecting the abnormality of the elevator and preventing the delay of the abnormality detection. It is also possible to reduce the threshold setting time and the storage capacity required for the setting.
In addition, since the elevator inspection operation itself can be performed based on the reference pattern and the threshold value, it applies to all regardless of the timing of the inspection operation and the implementation conditions (regular implementation, sudden implementation). Is possible.

Embodiment 2. FIG.
FIG. 5 is a diagram showing an example of the standard deviation tendency with respect to the inspection speed.
The first embodiment has been described on the assumption that the travel for setting the threshold (S103 to S106 in FIG. 1 and S203 to S206 in FIG. 2) is performed at the same speed as the inspection speed. However, in the inspection operation, for example, what is performed when damage is expected to some extent after an earthquake occurs, for example, in order to prevent the occurrence of secondary damage due to the inspection operation, Is also implemented at a much slower rate.

  Therefore, for example, when the inspection speed is a slow speed such as 20 m / min, there is a problem that it takes a long time to set the threshold value when the prescribed number of running times for setting the threshold value increases. Therefore, in the present embodiment, the relationship between the standard deviation of the signal and the traveling speed is examined in advance for the signal that is subject to abnormality determination in the inspection operation. FIG. 5 shows the standard deviation tendency for each signal A and B by speed.

  For example, if signal A has a tendency that the value of the standard deviation hardly changes even when the speed is increased, the elevator is driven at a speed higher than the inspection speed, and is shown in the first embodiment. The threshold value can also be set according to the procedure. In the case of the signal A, in which the standard deviation is not significantly affected by the speed, the cause of the signal variation does not depend on the speed. That is, a factor such as sensor noise that is constantly generated regardless of speed is a factor.

  On the other hand, when there is a tendency that there is a standard deviation with respect to the speed as in the signal B, the elevator is run at a speed faster than the inspection speed when setting the threshold, and the threshold is calculated. The standard deviation obtained from the measured value 4 is corrected to the standard deviation at the inspection speed based on the above tendency, and the threshold value is calculated from the correction result. Therefore, the threshold value 7 stored in the storage unit 2 is a standard deviation when the elevator is driven at the inspection speed. As for the signal B, the factor of the variation of the signal depends on the speed, for example, there is a signal whose magnitude of frequency and amplitude changes depending on the number of rotations of the hoisting machine such as a torque ripple.

According to the second embodiment of the present invention, the traveling speed of the elevator at the time of setting the threshold can be increased, and the time required for setting the threshold can be greatly shortened. For this reason, the setting work by an elevator maintenance worker becomes easy.
In addition, when it is known in advance that the cause of the standard deviation of the signal is due to calculation error or the like and is not affected by the installation status of the elevator, an appropriate threshold value 7 is set in advance in the storage unit 2. The operation flow for setting the threshold value can be omitted.

Embodiment 3 FIG.
6 to 8 are diagrams for explaining functions of the elevator abnormality detection device according to the third embodiment of the present invention.
FIG. 6 shows the result of calculating the standard deviation at each position by setting the storage position at regular intervals and storing the measured value 4 with respect to the elevator car position. Thus, when obtaining the standard deviation at regular intervals, it is necessary to calculate the standard deviation by storing the measured value 4 for each run and each storage position. Therefore, if the ascending / descending stroke becomes long, the storage capacity increases. I will.

Therefore, as shown in FIG. 6, when the standard deviation at each position is the same regardless of the position, or when the variation is sufficiently small with respect to the average σ _M of the standard deviation, the factor causing the variation in the standard deviation is the car position. Regardless of whether they are the same. In such a case, as shown in FIG. 6, a part of the lifting / lowering stroke, for example, the floor of the first floor was run a specified number of times without performing the calculation of the standard deviation over the entire lifting / lowering stroke. A standard deviation is obtained from the measured value 4 and a threshold value is set. Then, the threshold value is applied to the entire up / down stroke to perform the inspection operation.
Note that the standard deviation may be calculated again using the standard deviation at each position as an index of variation with respect to the average σ _M of the standard deviation.

  According to the above configuration, since the section in which the elevator travels at the time of setting the threshold can be greatly shortened, the time required for setting the threshold can be greatly shortened. For this reason, the setting work by an elevator maintenance worker becomes easy. Further, since the travel section is shortened, the amount of data that needs to be saved is reduced, and the storage capacity can be further reduced.

  FIG. 7 shows another example of the result of calculating the standard deviation at each position by setting the storage position at regular intervals and storing the measured value 4 with respect to the elevator car position. FIG. 8 shows the car vibration acceleration collected at the same time as traveling shown in FIG. That is, the signal D in FIG. 7 indicates that there is a point having a large standard deviation near the intermediate floor, and that the factor depends on the amplitude of the car vibration acceleration. In such a case, the cause of variation in standard deviation is not the same at all car positions. Therefore, for example, if a standard deviation or a threshold value is calculated from the measured value 4 when the first floor portion near the lowest floor is traveled, and the threshold value is applied to the entire lifting / lowering stroke, erroneous detection is detected near the intermediate floor. Will occur.

  Therefore, when the error of the standard deviation is caused by the car vibration acceleration, the car position where the standard deviation becomes the maximum, that is, the car position where the car vibration acceleration becomes the maximum in the case shown in FIGS. The car is moved around the car position (a predetermined range above and below the car position where the car vibration acceleration is maximized) a specified number of times, a standard deviation is obtained, and a threshold value is set. Then, the threshold value is applied to the entire up / down stroke to perform the inspection operation.

  Thus, by using the relationship between the standard deviation of the signal and the car position of the elevator, it is possible to significantly shorten the section in which the elevator travels when setting the threshold value. In addition, it is possible to reduce the time and storage capacity required for setting the threshold while preventing malfunction during inspection operation.

Next, a specific operation of the abnormality detection apparatus having the above configuration will be described. In the following, an operation flow in the case where the error of the standard deviation is caused by the car vibration acceleration will be described as an example.
FIG. 9 is a flowchart showing the operation of the elevator abnormality detection apparatus according to Embodiment 3 of the present invention. In FIG. 9, the threshold setting flow (S305 to S314) is the same as that in FIG. 2 or FIG.

  In the abnormality detection device having the above configuration, the travel section setting flow is performed before the threshold setting flow. Specifically, in the travel section setting flow, first, a predetermined travel command for the elevator is output (S301). Then, the elevator starts traveling at a predetermined traveling speed and traveling direction based on the traveling command, and measures the car acceleration while traveling the car over the entire lifting / lowering stroke (S302).

  In the elevator, the maximum value of the car acceleration measured in S302 and the car position at the time when the car acceleration was measured are held (S303), and the car position held in S303 when the traveling is finished. Based on the above, a section for traveling in the threshold setting flow is set (S304). That is, in S305 of the threshold setting flow, a travel command based on the travel section set in S304 is output.

  Here, a signal whose standard deviation is influenced by the car acceleration signal has been described, but a signal used for checking the elevator such as a hoisting machine torque current, a hoisting machine encoder, and a scale signal may be used. FIG. 9 shows an example in which the travel section setting flow is performed immediately before the threshold setting flow. However, when the position where the standard deviation of the signal used for inspection becomes large is known in advance, the travel section May be set in advance, and the travel section setting flow may be omitted.

It is a block diagram which shows the abnormality detection apparatus of the elevator in Embodiment 1 of this invention. It is a flowchart which shows operation | movement of the abnormality detection apparatus of the elevator in Embodiment 1 of this invention. It is a flowchart which shows operation | movement of the abnormality detection apparatus of the elevator in Embodiment 1 of this invention. It is a figure which shows the relationship between the winding machine torque current at the time of a threshold value setting, and a cage position. It is a figure which shows an example of the tendency of the standard deviation with respect to the inspection speed. It is a figure for demonstrating the function of the abnormality detection apparatus of the elevator in Embodiment 3 of this invention. It is a figure for demonstrating the function of the abnormality detection apparatus of the elevator in Embodiment 3 of this invention. It is a figure for demonstrating the function of the abnormality detection apparatus of the elevator in Embodiment 3 of this invention. It is a flowchart which shows operation | movement of the abnormality detection apparatus of the elevator in Embodiment 3 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Control apparatus 2 Memory | storage part 3 Calculation part 4 Measurement value 5 Reference pattern value 6 Average value 7 Threshold value 8 Reference pattern creation part 9 Average value calculation part 10 Threshold value calculation part 11 Abnormal signal detection part

Claims (5)

A reference pattern during normal running of a predetermined signal related to the elevator and a threshold value for detecting an abnormality are stored in advance, and the output value of the signal is compared with the reference pattern during an inspection operation of the elevator. be those determines the presence or absence of abnormality on the basis of the threshold value, calculates the standard deviation from the measured value of the signal measured during the normal traveling, the values obtained by the coefficient multiplying the standard deviation, the abnormality In the elevator abnormality detection device for storing the threshold value for detecting
The position of the elevator for measuring the signal is limited to a part of the elevator up / down process including the position where the maximum amplitude of the signal is generated, and the standard deviation of the signal is calculated. An elevator abnormality detection device, characterized in that a standard deviation of the signal in a predetermined section including the part and the other part than the part is used. A reference pattern during normal running of a predetermined signal related to the elevator and a threshold value for detecting an abnormality are stored in advance, and the output value of the signal is compared with the reference pattern during an inspection operation of the elevator. be those determines the presence or absence of abnormality on the basis of the threshold value, calculates the standard deviation from the measured value of the signal measured during the normal traveling, the values obtained by the coefficient multiplying the standard deviation, the abnormality In the elevator abnormality detection device for storing the threshold value for detecting
The standard deviation of the signal calculated from the measurement value is corrected to the standard deviation of the inspection speed by using the relationship between the standard deviation of the signal obtained at at least two speeds and the speed. An elevator abnormality detection device. By measuring the signal by running the elevator at at least two or more speeds, the tendency of the standard deviation of the signal with respect to the speed is specified in advance,
The standard deviation is calculated from the measured value of the signal when the elevator is driven at a predetermined speed faster than the inspection speed, and the calculated standard deviation is corrected to the standard deviation of the inspection speed based on the specified tendency. Do
The elevator abnormality detection device according to claim 2. A reference pattern during normal running of a predetermined signal related to the elevator and a threshold value for detecting an abnormality are stored in advance, and the output value of the signal is compared with the reference pattern during an inspection operation of the elevator. be those determines the presence or absence of abnormality on the basis of the threshold value, calculates the standard deviation from the measured value of the signal measured during the normal traveling, the values obtained by the coefficient multiplying the standard deviation, the abnormality In the elevator abnormality detection device for storing the threshold value for detecting
The standard deviation is calculated by running the elevator a specified number of times and measuring the hoisting machine torque current related to the elevator at a predetermined position of each run,
The elevator abnormality detection device , wherein the specified number of times is determined by a temperature characteristic of the hoist resulting from the number of times the elevator is driven with the hoisting machine torque current . The elevator abnormality detection device according to claim 4, wherein the upper limit of the specified number of times is set based on fluctuations in the hoisting machine torque current due to temperature characteristics of the hoisting machine.

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