JP2008230742A - Maintenance control system of elevator - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a maintenance control system of an elevator capable of performing countermeasures before occurrence of any failure by grasping a degraded state of various kinds of apparatus of the elevator. <P>SOLUTION: A degradation diagnosis unit 23 provided on a control device of an elevator comprises a parameter acquisition unit 23a for acquiring parameters of an object apparatus for diagnosis of various kinds of apparatus, a condition setting unit 23b for setting at least two determination conditions to the parameter obtained by the parameter acquisition unit 23a, and a degradation determination unit 23c which evaluates the parameters based on each determination condition set by the condition setting unit 23b and determines the degraded state of the object apparatus for diagnosis from the synthesized result of these evaluation values. The degraded state of various kinds of apparatuses of the elevator is recognized to take countermeasures before occurrence of any failure. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a maintenance management system that manages an operation state of an elevator.

  The performance of various elevator equipment gradually deteriorates over time after the elevator is installed in the building. Therefore, an elevator maintenance company dispatches maintenance personnel to perform periodic maintenance inspections, check the deterioration state of each device, and if there is a device with significant deterioration, take measures such as not immediately replacing the component.

On the other hand, a method for automatically diagnosing the operation state of an elevator has been proposed in order to reduce the inspection burden on maintenance personnel. For example, in Patent Document 1, elevator travel data is collected, and the collected travel data is compared with two predetermined conditions (threshold condition for travel data and deviation amount condition from initial value). Therefore, it is disclosed that the presence or absence of abnormality is determined.
Japanese Patent No. 2771454

  However, since maintenance inspections by maintenance personnel are determined to be several times a year, there is a possibility that equipment deteriorates and breaks down during that time. In this case, the maintenance work is sent to the site to perform the restoration work, but since the elevator cannot be operated until then, the user is greatly inconvenienced. Moreover, in the said patent document 1, the presence or absence of the abnormality of an elevator is detected, Comprising: The deterioration state of the apparatus until it reaches the abnormality is not known.

  The present invention has been made in view of the above points, and an object of the present invention is to provide an elevator maintenance management system capable of grasping various deterioration states of an elevator and dealing with it before a failure occurs. .

  An elevator maintenance management system according to the present invention includes a parameter acquisition unit that acquires parameters of a device to be diagnosed, a condition setting unit that sets at least two determination conditions for the parameters obtained by the parameter acquisition unit, A deterioration determining means for evaluating each of the parameters based on each determination condition set by the condition setting means, and determining a deterioration state of the diagnosis target device from a result of combining these evaluation values; To do.

  ADVANTAGE OF THE INVENTION According to this invention, the deterioration state of the various apparatuses of an elevator can be grasped | ascertained and it can cope with before a failure generate | occur | produces.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a diagram showing a configuration of an elevator maintenance management system according to a first embodiment of the present invention.

  An elevator 11 to be monitored is connected to a monitoring center 12 via a communication network 13. As the communication network 13, a telephone line, the Internet, or the like is used, but the communication form is not particularly limited.

  The monitoring center 12 remotely monitors the operation state of the elevator 11 via the communication network 13. In the example of FIG. 1, only one elevator 11 is illustrated, but actually, various elevators installed in each building are connected to the monitoring center 12 via the communication network 13. The monitoring center 12 constantly monitors the operation state of these elevators, and if an abnormality occurs, a maintenance staff is dispatched to the site.

  The elevator 11 is provided with a control device 20 and various devices 30 controlled by the control device 20.

  The control device 20 includes a command unit 21, a communication unit 22, a deterioration diagnosis unit 23, and a storage unit 24. The command unit 21 corresponds to a CPU and controls the entire elevator. The communication unit 22 is connected to the command unit 21 and performs communication processing between the elevator 11 and the monitoring center 12.

  The various devices 30 include, for example, a hoisting machine 31, a car door 32, a load detector 33, a governor 34, a holder 35, and the like. The deterioration diagnosis unit 23 has a function of diagnosing the deterioration state of these devices 30. As shown in FIG. 2, the deterioration diagnosis unit 23 includes a parameter acquisition unit 23a, a condition setting unit 23b, a deterioration determination unit 23c, and a failure prediction unit 23d.

  The parameter acquisition unit 23a acquires the parameters of the device designated as the diagnosis target. For example, in the case of the hoisting machine 31, the device parameters include the torque, voltage, current, speed, and the like of the motor that drives the hoisting machine 31.

  The condition setting unit 23b sets at least two determination conditions for the parameter obtained by the parameter acquisition unit 23a. Specifically, a threshold value (upper limit value and lower limit value) for the parameter is set as a first determination condition, and an allowable deviation from the initial value is set as a second determination condition (see FIG. 4).

  The deterioration determination unit 23c evaluates the parameters based on the determination conditions set by the condition setting unit 23b, and determines the deterioration state of the diagnosis target device from the result of integrating these evaluation values. Specifically, according to an evaluation function expression described later, a final evaluation value is calculated by adding a value obtained by multiplying each evaluation value corresponding to each determination condition by a weighting factor that is arbitrarily set. A deterioration state of the diagnosis target device is determined based on a result of comparing the evaluation value with a preset threshold value.

  The failure prediction unit 23d predicts the failure date of the diagnosis target device based on the temporal change of the evaluation value calculated by the deterioration determination unit 23c.

  The storage unit 24 is provided with a table 25 used for deterioration diagnosis. As shown in FIG. 3, this table 25 includes a threshold value (upper limit value and lower limit value) that is a first determination condition, an allowable deviation that is a second determination condition, an evaluation function expression described later, It has a weighting factor, initial value, determination reference value, and measurement date and measurement value used in the evaluation function formula. The measured value is actual data or an evaluation value. The actual numerical values for these will be omitted.

  Hereinafter, a method for diagnosing the deterioration state will be described in detail by taking the car door 32 as an example.

  FIG. 4 is a diagram showing torque characteristics of door motors according to property. Ta, Tb, and Tc in the figure indicate the torque values of the door motors of the properties Ea, Eb, and Ec.

  Even if the same door motor is used in each property, the initial value of the required torque differs depending on the specifications of the size of the door on the hall side and the door on the car side, the material, the additional device, and the like. Variations due to aging degradation up to ± σ are allowed with respect to these initial values (this is called allowable deviation). Further, threshold values (upper limit value and lower limit value) indicated by A and B in the figure are determined by the characteristics of the door motor.

  In the example of FIG. 4, the torque value Ta of the property Ea and the torque value Tc of the property Ec are within the range of the upper limit value A and the lower limit value B. Therefore, the deterioration state of the door motor at that time can be determined by paying attention only to the allowable deviation σ. However, in the property Eb, the torque value Tb including the allowable deviation σ exceeds the upper limit value A. Therefore, in order to determine the deterioration state, two conditions of a threshold value and an allowable deviation must be considered.

  Therefore, in this embodiment, it is assumed that the degradation state of the device is determined using the following evaluation function formula.

_{L = Σ (k i · |} P i -P i_0 | + m i · | P i -X i_0 |) ... (1)
Here, k _i and m _i are weighting factors, P _i is a parameter after aging, P _{i — 0} is an initial value of the parameter, and X _{i — 0} is a midpoint between the upper limit value and the lower limit value. i is the number of parameters.

Equation (1), the evaluation value by the first determination condition (threshold value condition) _| P i -X _{i_0 |} a value obtained by multiplying the weighting factor _{m i,} the evaluation value by the second determination condition (allowable deviation condition) A final evaluation value L is calculated by adding a value obtained by multiplying (P _i −P _{i — 0} ) by a weighting factor k _i . The current deterioration state is determined by comparing the evaluation value L with a preset determination reference value L0.

Incidentally, m _i and k _i of the weighting factor can be arbitrarily set. For example, when the second determination condition (allowable deviation condition) is more important than the first determination condition (threshold condition), m _i <k _i is set. As a setting method, for example, a maintenance staff can connect a terminal device (not shown) to the control device 20 and set by a predetermined operation, or can be set by a remote operation from the monitoring center 12 via the communication network 13. It is.

  In addition, the control of the door motor actually includes various parameters such as the current, voltage, and speed of the motor in addition to the torque. If the evaluation is performed for each condition including these parameters and the final evaluation value L is calculated according to the above equation (1), the deterioration state of the device can be determined more accurately.

  Moreover, not only a door motor but a deterioration state can be diagnosed similarly about other apparatuses. For example, in the case of the hoisting machine 31, data such as torque, current, voltage, and speed of the motor that drives the hoisting machine 31 may be acquired as parameters for determining deterioration and diagnosed by the same method as described above. .

  Other devices shall be diagnosed by the following method.

(A) Degradation diagnosis of load detector 33-The output value of the load detector 33 is acquired as a parameter for determining deterioration.
-The output value of the load detector 33 in the no-load state and the full-load state is measured during installation, and these values are set as the lower limit value and the upper limit value. The output value and lower limit value of the load detector 33 obtained during normal operation / The difference from the upper limit value is obtained as the first evaluation value.
-Compare the initial torque of the motor (estimated from the output value of the load detector 33) when the car starts to move (when the brake is released) and the weight of the passenger (output value of the load detector 33) during normal operation. The difference is obtained as a second evaluation value.
In accordance with the evaluation function expression of the above expression (1), the deterioration state is determined from the result of combining the first evaluation value and the second evaluation value.

(B) Deterioration diagnosis of governor 34-The output value of the pulgene provided in the governor 34 is acquired as a parameter for determining deterioration.
The output value of the pulgene provided in the governor 34 is compared with the output value of the pulgene provided in the hoisting machine 31, and the difference is obtained as the first evaluation value.
The output value of the pulgene provided in the governor 34 is compared with the speed obtained from the time when the car passes through the landing detection device on each floor, and the difference is obtained as the second evaluation value.
In accordance with the evaluation function expression of the above expression (1), the deterioration state is determined from the result of combining the first evaluation value and the second evaluation value.

(C) Degradation diagnosis of the hold door 35-The hold door 35 engages with the car door 32 and opens and closes. The torque of the door motor that drives the car door 32 is acquired as a parameter for determining deterioration.
The motor torque when opening and closing the hold door 35 is compared with a preset upper limit value / lower limit value, and the difference is obtained as the first evaluation value.
The difference between the motor torque and the initial torque value when opening and closing the hold door 35 is obtained as the second evaluation value.
In accordance with the evaluation function expression of the above expression (1), the deterioration state is determined from the result of combining the first evaluation value and the second evaluation value.
Furthermore, by acquiring the opening / closing time of the hold door 35 as another parameter, the difference between the opening / closing time of the hold door 35 and a preset reference time may be added as the third evaluation value.

Next, a specific processing procedure for performing the above-described deterioration diagnosis will be described.
FIG. 5 is a flowchart showing a processing procedure of the deterioration diagnosis unit 23 in the same embodiment.

  First, during normal elevator operation, the deterioration diagnosis unit 23 acquires parameters of devices designated as diagnosis targets in the various devices 30 (step S11).

  As described above, the various devices 30 include the hoist 31, the car door 32, the load detector 33, the governor 34, the hold door 35, etc., all of which may be designated as diagnostic targets, Any device may be specified. For example, in the case of a motor, the parameters are torque, current, voltage, speed, and the like. What parameters are acquired is determined in advance according to the type of the device to be diagnosed.

  Subsequently, the deterioration diagnosis unit 23 refers to the table 25 provided in the storage unit 24, sets threshold values (upper limit value and lower limit value) for the parameters of the diagnosis target device as the first determination condition, and sets initial values. Is set as the second determination condition (step S12). Note that the setting contents of the conditions at this time can be changed according to the diagnosis target.

  Here, the deterioration diagnosis unit 23 evaluates the parameters of the diagnosis target device with respect to the first and second determination conditions (step S13). And the degradation diagnosis part 23 calculates | requires the value which integrated each evaluation value according to said (1) Formula as the final evaluation value L, and compares this evaluation value L with the determination reference value L0, The said diagnostic object The deterioration state of the device is determined (step S14).

  In this case, if the evaluation value L exceeds the determination reference value L0, it is determined that the diagnosis target device is severely deteriorated and it is time to replace it, and that is notified to the command unit 21. Upon receiving the notification from the deterioration diagnosis unit 23, the command unit 21 transfers this to the monitoring center 12 through the communication unit 22. As a result, the monitoring center 12 can grasp the presence of a device in a deteriorated state, and dispatch maintenance personnel to deal with it.

  In this way, by automatically determining the deterioration state of the various devices 30 on the elevator 11 side, it is possible to cope in advance even if the maintenance staff does not frequently perform maintenance inspections.

(Second Embodiment)
Next, a second embodiment of the present invention will be described.

  FIG. 6 shows the time change of the torque of the door motor. As described above, in the door motor, the required torque varies depending on the specifications of the size of the door on the hall side and the door on the car side, the material, the additional device, and the like.

  Immediately after installing the door motor, a torque of T0 is required. In addition, a use range (threshold value) is determined in advance. Among these, the upper threshold value (upper limit value) is indicated by A, and the lower threshold value (lower limit value) is indicated by B. On the other hand, there is an appropriate torque as judged from the usage situation. For example, in the case of a door installed in a nursing home or the like, it is required to open and close with as little torque as possible. The upper side of the allowable torque (allowable deviation) at this time is indicated by C, and the lower side is indicated by D.

  Comparing A and C on the upper side and B and D on the lower side, C and B close to the initial value T0 are appropriate upper limit torque and lower limit torque.

  With respect to the initial value Ta, the upper limit torque C, and the lower limit torque B that are given in this way, the deterioration of the door motor progresses with the years of use of the elevator, and the required torque increases accordingly. In the example of FIG. 6, it is shown that the necessary torque increases with time.

  Here, the increase in the required torque can be expressed by using time as a function, and the failure date can be predicted from the function expression. E in the figure is a predicted failure date obtained from the first derivative equation. F is the predicted failure date obtained from the second derivative equation. In general, the higher the degree of derivative is taken into account, the higher the accuracy of prediction.

  In the second embodiment, the deterioration diagnosis unit 23 has a function of predicting a failure date from such a temporal change in measured values. Specifically, when the evaluation value L related to the torque is calculated according to the equation (1), the evaluation value L is stored as a measurement value in the table 25 of FIG. 3 together with the measurement date. And the time change of the evaluation value L memorize | stored in this table 25 is calculated | required, and the day when the evaluation value L is less than a threshold value is estimated as a failure day. The failure date predicted in this way is notified to the monitoring center 12. Thereby, on the monitoring center 12 side, measures can be taken before a failure occurs.

  Here, the door motor has been described as an example, but the same applies to other devices.

  By the way, a plurality of measured values may include an error factor. The example of FIG. 7 shows a state in which there is some error factor in the n-th measurement value and an abnormally large value with respect to the measurement values before and after that. If such an abnormal value exists, the above-described diagnosis of the deterioration state and failure prediction are affected.

  Therefore, every time a parameter is measured, an allowable value Δ is set with respect to the previous measured value, and when a variation larger than the allowable value Δ is shown, it is determined that the measurement is abnormal and the measurement is performed again. To do. In the example of FIG. 7, the nth measurement value exceeds the allowable value Δ with respect to the (n−1) th measurement value, and thus is determined to be an abnormal value.

  In addition to such a method, a method of deleting an abnormal value by a general statistical method or correcting a measured value by passing through a specific filter may be considered.

  In the above-described embodiment, the parameter of the diagnosis target device has been described as being acquired during normal operation. However, for example, the parameter may be acquired in a predetermined time zone or according to an instruction from the monitoring center 12. good.

  Furthermore, in the above embodiment, the deterioration diagnosis for the various devices 30 is performed on the elevator 11 side, but may be performed on the monitoring center 12 side. FIG. 8 shows a system configuration when the elevator 11 is provided with the deterioration diagnosis device 51, and FIG. 9 shows a system configuration when the monitoring center 12 is provided with the deterioration diagnosis device 51. In the figure, 50 is a machine room of the building, 52 is a rope, 53 is a passenger car, and 54 is a counterweight.

  In the case of FIG. 9, parameters indicating operation states of various devices of the elevator 11 are sent to the monitoring center 12 via the communication network 13. In the monitoring center 12, these parameters are given to the deterioration diagnosis device 51 to diagnose the deterioration state of various devices.

  As shown in FIG. 8, if the deterioration diagnosis device 51 is installed in the elevator 11, for example, when there is a change in the specifications of each property, there is an advantage that it is possible to flexibly deal with it simply by replacing the deterioration diagnosis device 51. . On the other hand, as shown in FIG. 9, if the deterioration diagnosis device 51 is installed in the monitoring center 12, there is an advantage that the processing load on the elevator 11 side can be reduced and the deterioration state of various devices can be centrally managed for each property. .

  In short, the present invention is not limited to the above-described embodiments as they are, and can be embodied by modifying the components without departing from the scope of the invention in the implementation stage. In addition, various forms can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be omitted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

FIG. 1 is a diagram showing a configuration of an elevator maintenance management system according to a first embodiment of the present invention. FIG. 2 is a block diagram showing a functional configuration of an elevator deterioration diagnosis unit in the same embodiment. FIG. 3 is a diagram illustrating an example of a table provided in the storage unit of the elevator according to the embodiment. FIG. 4 is a diagram showing the torque characteristics of the door motors by property in the same embodiment. FIG. 5 is a flowchart showing the operation of the elevator deterioration diagnosis process in the embodiment. FIG. 6 is a diagram showing the change over time of the torque of the door motor in the second embodiment of the present invention. FIG. 7 is a diagram showing the relationship between the number of measurements and the measured value in the same embodiment. FIG. 8 is a diagram showing a system configuration when a deterioration diagnosis device is provided in an elevator. FIG. 9 is a diagram showing a system configuration when a deterioration diagnosis device is provided in the monitoring center.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 11 ... Elevator, 12 ... Monitoring center, 13 ... Communication network, 20 ... Control apparatus, 21 ... Command part, 22 ... Communication part, 23 ... Degradation diagnostic part, 23a ... Parameter acquisition part, 23b ... Condition setting part, 23c ... Degradation Judgment unit, 23d ... failure prediction unit, 24 ... storage unit, 25 ... table, 30 ... various devices, 31 ... hoisting machine, 32 ... car door, 33 ... load detector, 34 ... governor, 35 ... hold door, 50 ... machine room of building, 51 ... deterioration diagnosis device, 52 ... rope, 53 ... car, 54 ... counterweight.

Claims (7)

Parameter acquisition means for acquiring parameters of a device to be diagnosed;
Condition setting means for setting at least two determination conditions for the parameter obtained by the parameter acquisition means;
Deterioration determining means for evaluating each of the parameters based on each determination condition set by the condition setting means and diagnosing a deterioration state of the diagnosis target device from a result of integrating these evaluation values. Elevator maintenance management system.   2. The elevator maintenance management system according to claim 1, wherein the parameter acquisition operation by the parameter acquisition means is performed during normal elevator operation.   2. The elevator maintenance management system according to claim 1, wherein the condition setting means sets a threshold for the parameter and an allowable deviation from an initial value as the determination condition.   The elevator maintenance management system according to claim 1, wherein the deterioration determination means determines a deterioration state in consideration of other parameters in the diagnosis target device.   The deterioration determination means calculates a final evaluation value by adding a value obtained by multiplying each evaluation value corresponding to each determination condition by a weighting factor that is arbitrarily set, and sets the evaluation value in advance. The elevator maintenance management system according to claim 1, wherein a deterioration state of the diagnosis target device is determined based on a result of comparison with the reference value.   2. The elevator maintenance management system according to claim 1, further comprising failure prediction means for predicting a failure date of the diagnosis target device based on a temporal change in the evaluation value calculated by the deterioration determination means. .   The elevator maintenance management system according to claim 1, wherein the diagnosis target device includes at least one of a hoisting machine, a car door, a load detector, a governor, and a hold door.

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