JP6289586B1 - Maintenance inspection schedule optimization device - Google Patents

Abstract

A maintenance / inspection schedule optimizing device capable of optimizing a maintenance / inspection schedule by reflecting the lifetime of electrical components in accordance with environmental conditions. A schedule optimization device according to an embodiment includes an environmental parameter acquisition unit that acquires environmental parameters related to the lifetime of electrical components mounted on an elevator control panel, and an environmental parameter acquired by the environmental parameter acquisition unit. If the difference between the lifetime of the electrical component estimated by the lifetime estimation unit 12 and the rated lifetime of the electrical component is greater than or equal to the first threshold value, And a schedule update unit 13 for updating a maintenance inspection schedule that defines work timing and work items of maintenance inspection work including replacement. [Selection] Figure 2

Description

  Embodiments described herein relate generally to a maintenance inspection schedule optimization apparatus.

  An elevator is a highly public facility, and if a failure occurs and operation stops, it affects a large number of people, so appropriate maintenance is required from the viewpoint of preventive maintenance. Elevator maintenance includes regular inspections and adjustments for each part of the elevator, as well as parts replacement based on a long-term maintenance plan. Such operations such as inspection, adjustment and parts replacement (hereinafter referred to as “maintenance inspection work”) are performed according to a maintenance inspection schedule. The maintenance inspection schedule defines the implementation date and work items of the maintenance inspection work.

  The replacement time of the electrical components mounted on the elevator control panel is usually determined based on the rated life of the electrical components (life when used in a standard environment). In other words, before reaching the rated life of the electrical component, a maintenance inspection schedule is created so that a maintenance inspection operation including replacement of the electrical component is performed. However, since the actual life of electrical components varies depending on environmental conditions, a maintenance inspection schedule created based on the rated life of electrical components may not be appropriate.

JP 2009-40585 A

  The problem to be solved by the present invention is to provide a maintenance / inspection schedule optimizing device capable of optimizing the maintenance / inspection schedule by reflecting the life of the electrical components according to the environmental conditions.

The maintenance inspection schedule optimizing device according to the embodiment includes an environmental parameter acquisition unit, a life estimation unit, a schedule update unit, and an information output unit . The environmental parameter acquisition unit acquires environmental parameters related to the lifetime of the electrical components mounted on the elevator control panel. The life estimation unit estimates the life of the electrical component using the environmental parameter. Schedule update unit, when the difference between the rated life of the electrical component and the estimated said electrical component life is not less than the first threshold value, the implementation date of the maintenance and inspection of an elevator including an inspection or replacement of the electrical component and Update the maintenance inspection schedule that defines the work items. The information output unit prompts inspection or replacement of the electrical component when the estimated lifetime of the electrical component is shorter than the first threshold by a second threshold value greater than the first threshold value. Is output.

FIG. 1 is a block diagram showing a schematic configuration of a maintenance / inspection work support system. FIG. 2 is a block diagram illustrating a functional configuration example of the schedule optimization device. FIG. 3 is a diagram for explaining an example of measuring environmental parameters in the first embodiment. FIG. 4 is a flowchart illustrating an example of an operation procedure of the schedule optimization device according to the first embodiment. FIG. 5 is a diagram for explaining an example of measuring environmental parameters in the second embodiment. FIG. 6 is a flowchart illustrating an example of an operation procedure of the schedule optimization device according to the second embodiment. FIG. 7 is a diagram for explaining an example of measuring environmental parameters in the third embodiment. FIG. 8 is a flowchart illustrating an example of an operation procedure of the schedule optimization device according to the third embodiment. FIG. 9 is a diagram for explaining an example of measuring environmental parameters in the fourth embodiment. FIG. 10 is a flowchart illustrating an example of an operation procedure of the schedule optimization device according to the fourth embodiment.

  Hereinafter, a maintenance inspection schedule optimizing apparatus according to an embodiment will be described in detail with reference to the drawings. The maintenance / inspection schedule optimizing device of this embodiment is for optimizing a maintenance / inspection schedule in which the date and work items of elevator maintenance / inspection work are defined. In particular, the maintenance inspection schedule optimizing device of the present embodiment acquires environmental parameters measured in the elevator installation environment, and estimates the lifetime of the electrical components mounted on the elevator control panel using the environmental parameters. Then, the maintenance inspection schedule is updated so that the electrical components are inspected or replaced at an optimal time according to the estimated lifetime of the electrical components.

  Below, the example which implement | achieves the maintenance inspection schedule optimization apparatus of this embodiment as one function of the schedule management server installed in the service information center is demonstrated. The schedule management server is a server that manages a maintenance inspection schedule for each property (elevator) with which a maintenance contract is concluded. A property person in charge of maintenance inspection work for each property performs maintenance inspection work on the property according to the maintenance inspection schedule managed by the schedule management server. In addition, the maintenance inspection schedule optimization apparatus of this embodiment is not restricted to the example shown below, and can be implement | achieved by various methods. For example, the maintenance / inspection schedule optimization device of the present embodiment may be installed in the service information center as a device independent of the schedule management server. Moreover, the structure which provides the maintenance inspection schedule optimization apparatus of this embodiment as an independent apparatus for every property, for example in an elevator installation environment etc. may be sufficient.

  FIG. 1 is a block diagram showing a schematic configuration of a maintenance / inspection work support system. This maintenance / inspection work support system is a system that supports maintenance / inspection work of an elevator by a person in charge of a property using a schedule management server 100 installed in a service information center. As shown in FIG. 1, the schedule management server 100 includes an environment database 20, a parts management database 30, a schedule database 40, and a communication in addition to the schedule optimization device 10 that is an example of the maintenance inspection schedule optimization device of the present embodiment. A device 50 is included.

  The environment database 20 is a database that stores the environmental parameters acquired by the schedule optimization device 10 for each property. The environmental parameter is a measurement value representing an environmental condition measured in the elevator installation environment. In particular, in the present embodiment, an environmental parameter related to the life of the electrical component mounted on the elevator control panel is measured. The environment parameter measured in the elevator installation environment is acquired by the schedule optimization device 10 together with the identification information of the sensor that measured the environment parameter and the time information indicating the measurement time, and stored in the environment database 20.

  The parts management database 30 is a database that stores information on each part used in an elevator for each property. The information of each part stored in the parts management database 30 includes the model number of the part, the rated life, the parameters used for calculating the rated life (reference temperature indicating the operating temperature in a standard environment, etc.), the use start date. Information such as (part replacement date) is included.

  The schedule database 40 is a database that stores a maintenance inspection schedule for each property. The maintenance inspection schedule stored in the schedule database 40 is optimized as appropriate by the schedule optimization device 10. In the schedule database 40, a default (schedule optimization device) created in advance manually or by an automatic schedule creation program or the like based on information on each part of the elevator stored in the parts management database 30. It is assumed that a maintenance inspection schedule (before being optimized by 10) is stored.

  The communication device 50 is an interface for the schedule management server 100 to communicate with the elevator installation environment via the communication line 300. A maintenance terminal 500 used by the person in charge of the property is also connected to the communication line 300 via the radio base station 400. The schedule management server 100 communicates with the maintenance terminal 500 using the communication device 50, transmits a maintenance inspection schedule stored in the schedule database 40, and outputs information (inspection of electrical components) output by the schedule optimization device 10 Or information prompting the exchange).

  The schedule management server 100 includes, for example, a processor such as a CPU (Central Processing Unit), an internal storage device such as a RAM (Random Access Memory) and a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid State Drive). It can be realized by using hardware as a general computer that includes an external storage device such as the above and a communication interface constituting the communication device 50 as basic hardware. In the schedule management server 100, for example, the CPU uses the RAM as a work area to execute a predetermined control program stored in a ROM, HDD, SSD, or the like, thereby configuring the schedule optimization device 10 to be described later. The functional components (see FIG. 2) can be realized. Further, the schedule management server 100 can construct each database of the environment database 20, the parts management database 30, and the schedule database 40 using HDD, SSD, or the like.

  On the other hand, as shown in FIG. 1, the elevator installation environment includes one or more sensor terminals 200 that measure the environmental parameters described above, and a sensor GW (Gateway) 210 that collects the environmental parameters measured by the sensor terminals 200. A communication device 230 for communicating with the schedule management server 100 of the service information center via the communication line 300 is provided.

  The sensor terminal 200 includes a sensor 201, an MPU (Micro Processing Unit) 202, and a wireless unit 203, and the MPU 202 indicates the identification information of the sensor 201 and the time information for the environmental parameters measured by the sensor 201. Are added to generate sensor data, and the sensor data is wirelessly output from the wireless unit 203. In the present embodiment, this sensor terminal 200 is provided in an elevator control panel, and environmental parameters related to the life of electrical components mounted on the elevator control panel are measured at predetermined intervals (predetermined measurement cycle), and the sensor Assume an example of wireless output as data. The sensor terminal 200 may include, for example, a sensor terminal 200 that is installed in an elevator car and measures the vibration of the car, and is provided other than the elevator control panel.

  The sensor GW 210 includes a wireless unit 211 and an MPU 212. The wireless unit 211 receives the sensor data wirelessly output from the sensor terminal 200, and the sensor data is transmitted from the communication device 230 to the communication line under the control of the MPU 212. It has a function of transmitting to the schedule management server 100 of the service information center via 300. When a plurality of sensor terminals 200 are provided in the elevator installation environment, sensor data from the plurality of sensor terminals 200 may be aggregated by the sensor GW 210 and transmitted to the schedule management server 100 of the service information center. .

  In the present embodiment, an example in which environmental parameters are measured by the sensor terminal 200 having a function of wirelessly outputting sensor data is assumed, but the present invention is not limited to this. For example, an environmental parameter measured by a sensor provided in the elevator control panel is transmitted from the elevator control panel to the communication device 230 via the harness, and the schedule management server of the service information center is transmitted from the communication device 230 via the communication line 300. 100 may be transmitted.

  FIG. 2 is a block diagram illustrating a functional configuration example of the schedule optimization device 10 realized as one function of the schedule management server 100. As shown in FIG. 2, for example, the schedule optimization device 10 includes an environment parameter acquisition unit 11, a life estimation unit 12, a schedule update unit 13, and an information output unit 14 as functional components.

  The environmental parameter acquisition unit 11 acquires environmental parameters measured in the elevator installation environment, that is, environmental parameters related to the lifetime of the electrical components mounted on the elevator control panel. Specifically, the environmental parameter acquisition unit 11 transmits the sensor data (the environmental parameter measured by the sensor 201 of the sensor terminal 200 and the sensor parameter) transmitted from the communication device 230 in the elevator installation environment to the schedule management server 100 via the communication line 300. When the communication device 50 receives the data including the identification information of the sensor 201 and the time information indicating the measurement time, the sensor data is acquired and stored in the environment database 20.

  The lifetime estimation unit 12 estimates the lifetime of the electrical components mounted on the elevator control panel using the environmental parameters acquired by the environmental parameter acquisition unit 11 and stored as sensor data in the environmental database 20. The electrical parts mounted on the elevator control panel have a rated life, which is the life when used in a standard environment, but the actual life of the electrical parts varies depending on environmental conditions. For this reason, in this embodiment, it is set as the structure which estimates the actual lifetime of an electrical component by the lifetime estimation part 12 using the environmental parameter acquired by the environmental parameter acquisition part 11. FIG. A specific example of the method by which the life estimation unit 12 estimates the life of the electrical component will be described later in detail.

  The schedule update unit 13 updates the maintenance / inspection schedule so that the maintenance / inspection schedule stored in the schedule database 40 is optimized according to the lifetime of the electrical component estimated by the lifetime estimation unit 12. For example, when the difference between the life of the electrical component estimated by the life estimation unit 12 and the rated life of the electrical component is equal to or greater than a first threshold (for example, 1 month), the schedule update unit 13 stores the schedule in the schedule database 40. Update the stored maintenance schedule. Note that a specific example of a method by which the schedule update unit 13 updates the maintenance inspection schedule will be described later in detail.

  The information output unit 14 outputs information for encouraging inspection and replacement of the electrical components mounted on the elevator control panel when a predetermined condition is satisfied. For example, when the life of the electrical component estimated by the life estimation unit 12 is shorter than the second threshold (for example, 3 months) larger than the first threshold with respect to the rated life, for example, the information output unit 14 Outputs information that prompts inspection and replacement of electrical components. The information output by the information output unit 14 is transmitted from the communication device 50 to the maintenance terminal 500 used by the person in charge of the property via the communication line 300 and displayed on the maintenance terminal 500, for example. The person in charge of the property can browse the information displayed on the maintenance terminal 500 and check the electrical parts as an emergency response, or perform work such as arranging or replacing parts. The output of such information by the information output unit 14 is called an abnormal report.

  Hereinafter, details of the operation of the schedule optimizing device 10 will be described as an example while showing specific examples of electrical components to be subjected to lifetime estimation and measured environmental parameters.

<First embodiment>
FIG. 3 is a diagram for explaining an example of measuring environmental parameters in the first embodiment. In this embodiment, as shown in FIG. 3, the capacitor 252 mounted on the board 251 of the elevator control panel 250 is an electrical component whose life is to be estimated. Then, the sensor terminal 200A is arranged in the vicinity of the capacitor 252, and the ambient temperature of the capacitor 252 is measured as an environmental parameter by the sensor terminal 200A.

  The sensor terminal 200A includes a temperature sensor as the sensor 201, measures the ambient temperature of the capacitor 252 with a temperature sensor at a predetermined measurement cycle (for example, every 30 minutes), and identifies temperature sensor identification information and measurement time at the measured ambient temperature. And wirelessly output the time sensor information and the added sensor data. This sensor data is transmitted to the schedule management server 100 via the sensor GW 210, the communication device 230, and the communication line 300, and is received by the communication device 50 of the schedule management server 100.

  When the communication device 50 receives the sensor data including the ambient temperature of the capacitor 252 measured by the temperature sensor of the sensor terminal 200A, the environment parameter acquisition unit 11 of the schedule optimization device 10 acquires the sensor data and the environment. Store in database 20.

ここで、Ｌ_０はコンデンサ252の定格寿命、Ｔ_Ｎはコンデンサ252の定格寿命の算出に用いた基準温度、Ｔ_Ｏは上記温度差の平均値である。 The life estimation unit 12 refers to the environment database 20 and the parts management database 30 to determine the reference temperature used for calculating the rated life of the capacitor 252 and the ambient temperature of the capacitor 252 measured by the temperature sensor of the sensor terminal 200A. The lifetime of the capacitor 252 is estimated based on the difference between the two. For example, every time sensor data including the ambient temperature of the capacitor 252 measured by the temperature sensor of the sensor terminal 200A is received by the communication device 50, the life estimation unit 12 determines the difference between the ambient temperature of the capacitor 252 and the reference temperature ( Temperature difference). When the number of times that the temperature difference exceeds a predetermined value (for example, 5 ° C.) continues for a predetermined number of times (for example, 3 times) or more, the estimated life L of the capacitor 252 is calculated according to the following equation (1).

Here, L ₀ is the rated life of the capacitor 252, the T _N reference temperature, T _O used for calculating the rated life of the capacitor 252 is the average value of the temperature difference.

The schedule update unit 13 calculates the difference between the estimated life L of the capacitor 252 and the rated life L ₀ calculated by the life estimation unit 12, and the difference between the estimated life L and the rated life L ₀ is the first threshold Th1 (for example, The maintenance inspection schedule stored in the schedule database 40 is updated so that the timing for replacing the capacitor 252 is changed in the case of 1 month or more). That is, when the estimated life L of the capacitor 252 is shorter than the rated life L ₀ by the first threshold Th1 or more, the maintenance stored in the schedule database 40 so as to advance the replacement time of the capacitor 252 according to the estimated life L. Update the inspection schedule. When the estimated life L of the capacitor 252 is longer than the rated life L ₀ by the first threshold Th1 or more, it is stored in the schedule database 40 so that the replacement time of the capacitor 252 is delayed according to the estimated life L. Update the maintenance schedule.

In the schedule database 40, as described above, a default maintenance inspection that is automatically created based on information on each part of the elevator stored in the parts management database 30 or automatically by a schedule automatic creation program or the like. The schedule is stored. The previously stored maintenance schedule for this schedule database 40, the replacement time of the capacitor 252 are determined based on the rated life L ₀ of the capacitor 252.

Information output section 14 performs abnormality alarm when the estimated lifetime L of the capacitor 252 is shortened second threshold value Th2 (e.g., 3 months) or more than the rated life L _0, the maintenance terminal 500 property personnel to use Information for prompting inspection or replacement of the capacitor 252 is displayed. When the estimated life L of the capacitor 252 is shorter than the rated life L ₀ by the second threshold Th2 and the information output unit 14 issues an abnormality, the schedule update unit 13 does not update the maintenance inspection schedule. You may comprise.

  FIG. 4 is a flowchart illustrating an example of an operation procedure of the schedule optimization device 10 according to the first embodiment. The series of processes shown in the flowchart of FIG. 4 is repeatedly executed every time sensor data from the sensor terminal 200A is acquired by the environmental parameter acquisition unit 11.

When the sensor data from the sensor terminal 200A is acquired by the environment parameter acquisition unit 11, the life estimation unit 12 first, and the ambient temperature of the capacitor 252 included in the sensor data, the calculation of the nominal life L ₀ of the capacitor 252 A temperature difference from the used reference temperature is calculated (step S101). And the lifetime estimation part 12 determines whether the temperature difference calculated by step S101 is more than predetermined value (for example, 5 degreeC) (step S102). If the temperature difference calculated in step S101 is less than a predetermined value (step S102: No), the process is terminated. At this time, if the value of a continuous number counter described later is 1 or more, the continuous number counter is reset.

  On the other hand, if the temperature difference calculated in step S101 is greater than or equal to a predetermined value (step S102: Yes), the life estimation unit 12 increments (increases by 1) the continuous number counter (step S103), It is determined whether or not the value has reached a predetermined number of times (for example, three times) (step S104). Here, if the value of the continuous number counter is less than the predetermined number (step S104: No), the process is terminated. At this time, the temperature difference calculated in step S101 is temporarily held inside the schedule optimization device 10.

On the other hand, if the value of the continuous number counter is equal to or greater than a predetermined number of times (step S104: Yes), the life estimating unit 12 calculates the average value _{T O} of the temperature difference of the latest predetermined number of times (step S105). Then, the life estimation unit 12 based on the rated life L ₀ of the capacitor 252, the reference temperature T _N used to calculate the rated life L ₀ , and the average value T _O of the temperature difference calculated in step S 105, The estimated life L of the capacitor 252 is calculated from the above equation (1) (step S106).

Then, the schedule update unit 13 calculates the difference between the nominal life L ₀ of the estimated lifetime L and a capacitor 252 that is calculated in step S106 (step S107), whether the calculated difference is equal to the first threshold value Th1 or more not Is determined (step S108). Here, if the difference calculated in step S107 is less than the first threshold Th1 (step S108: No), the process is terminated. At this time, the temperature difference calculated in step S101 is temporarily held inside the schedule optimization device 10.

  On the other hand, if the difference calculated in step S107 is equal to or greater than the first threshold Th1 (step S108: Yes), the schedule update unit 13 sets the capacitor at an appropriate timing according to the estimated life L of the capacitor 252 calculated in step S106. The maintenance inspection schedule stored in the schedule database 40 is updated so that 252 can be exchanged (step S109).

Then, the information output unit 14, based on the difference calculated in step S107, determines whether the estimated lifetime L of the capacitor 252 is shortened second threshold Th2 or more than the rated life L ₀ (step S110) . Here, when the estimated life L of the capacitor 252 is longer than the rated life L ₀ or when the estimated life L of the capacitor 252 is shorter than the rated life L ₀ but the difference is less than the second threshold Th 2 (step S110: No), the process ends.

On the other hand, when the estimated life L of the capacitor 252 is shorter than the rated life L ₀ by the second threshold Th2 or more (step S110: Yes), the information output unit 14 issues an abnormality to prompt inspection and replacement of the capacitor 252. The information is displayed on the maintenance terminal 500 used by the person in charge of the property (step S111), and the process ends. When the information output unit 14 issues such an abnormal report, the schedule update unit 13 may not update the maintenance inspection schedule.

  As described above, in this embodiment, the ambient temperature of the capacitor 252 mounted on the board 251 of the elevator control panel 250 is acquired as an environmental parameter, and the lifetime of the capacitor 252 is estimated using the ambient temperature of the capacitor 252. . Then, in accordance with the estimated lifetime of the capacitor 252, the maintenance inspection schedule is updated so that the capacitor 252 is replaced at an appropriate timing. Therefore, according to the present embodiment, the maintenance inspection schedule can be optimized by reflecting the actual life of the capacitor 252 which is an example of the electrical component mounted on the elevator control panel 250.

<Second embodiment>
Next, a second embodiment will be described. FIG. 5 is a diagram for explaining an example of measuring environmental parameters in the second embodiment. In the present embodiment, as in the first embodiment described above, the capacitor 252 mounted on the board 251 of the elevator control panel 250 is used as an electrical component whose life is to be estimated. However, in this embodiment, as shown in FIG. 5, in addition to the sensor terminal 200A that measures the ambient temperature of the capacitor 252, a sensor terminal 200B that measures the ripple current of the capacitor 252 is provided in the elevator control panel 250, and the capacitor 252 In addition to the ambient temperature, the ripple current is also measured. Then, the lifetime of the capacitor 252 is estimated using the ambient temperature of the capacitor 252 and the measured value of the ripple current.

  The sensor terminal 200B includes a current sensor as the sensor 201. The sensor terminal 200B measures the ripple current of the capacitor 252 with a current sensor at a predetermined measurement cycle (for example, every 30 minutes), and the current sensor identification information and measurement are included in the measured ripple current value. The time information representing the time and the added sensor data are wirelessly output. This sensor data is transmitted to the schedule management server 100 via the sensor GW 210, the communication device 230, and the communication line 300, and is received by the communication device 50 of the schedule management server 100.

  The environment parameter acquisition unit 11 of the schedule optimization device 10 includes sensor data including the ambient temperature of the capacitor 252 measured by the temperature sensor of the sensor terminal 200A and the ripple current measurement of the capacitor 252 measured by the current sensor of the sensor terminal 200B. When sensor data including a value is received by the communication device 50, the sensor data is acquired and stored in the environment database 20.

  The life estimation unit 12 refers to the environment database 20 and the parts management database 30, and compares the difference between the reference temperature used to calculate the rated life of the capacitor 252 and the ambient temperature of the capacitor 252 acquired as an environment parameter, The lifetime of the capacitor 252 is estimated based on the ratio between the rated ripple current of 252 and the measured ripple current value of the capacitor 252 acquired as an environmental parameter.

ここで、Ｉ_Ｎはコンデンサ252の定格リプル電流、Ｉ_Ｍはコンデンサ252のリプル電流計測値、Δｔ_０は、カテゴリ上限温度（上限温度で部品をカテゴリ分けしたときのコンデンサ252が属するカテゴリの上限温度）で定格リプル電流を印加したときのコンデンサ252の内部温度上昇値である。 For example, every time the communication device 50 receives sensor data including the ambient temperature of the capacitor 252 and sensor data including the ripple current measurement value of the capacitor 252, the life estimation unit 12 first determines the ambient temperature of the capacitor 252 and the reference The difference (temperature difference) from the temperature is calculated. Then, when the number of times that the temperature difference exceeds a predetermined value (for example, 5 ° C.) continues for a predetermined number of times (for example, three times) or more, the ratio between the rated ripple current of the capacitor 252 and the measured ripple current value is calculated. The rated ripple current of the capacitor 252 is stored in the component management database 30 as the component information of the capacitor 252. The lifetime estimating unit 12 uses the ratio of the rated ripple current and ripple current measurement value of the capacitor 252, according to the following formula (2) to calculate the degree of influence L _I the ripple current of the capacitor 252 has on life.

Here, I _N is the rated ripple current of the capacitor 252, I _M is the measured ripple current of the capacitor 252, and Δt ₀ is the category upper limit temperature (the upper limit temperature of the category to which the capacitor 252 belongs when the parts are categorized by the upper limit temperature) ) Is the internal temperature rise value of the capacitor 252 when the rated ripple current is applied.

ここで、Ｌ_０はコンデンサ252の定格寿命、Ｔ_Ｎはコンデンサ252の定格寿命の算出に用いた基準温度、Ｔ_Ｏは上記温度差の平均値である。 The lifetime estimating unit 12 uses the impact L _I calculated by the above formula (2), according to the following equation (3), to calculate the estimated lifetime L of the capacitor 252.

Here, L ₀ is the rated life of the capacitor 252, the T _N reference temperature, T _O used for calculating the rated life of the capacitor 252 is the average value of the temperature difference.

Schedule update unit 13, like the first embodiment, for example, if the difference between the estimated life L and the rated life L ₀ of the capacitor 252 is in the first threshold value Th1 or more, changing the timing of replacement of the capacitor 252 Thus, the maintenance inspection schedule stored in the schedule database 40 is updated. The information output unit 14, like the first embodiment, by performing the abnormality alarm when the estimated lifetime L of the capacitor 252 is shortened second threshold Th2 or more than the rated life L _0, property personnel using The maintenance terminal 500 displays information that prompts inspection and replacement of the capacitor 252.

  FIG. 6 is a flowchart illustrating an example of an operation procedure of the schedule optimization device 10 according to the second embodiment. The series of processes shown in the flowchart of FIG. 6 is repeatedly executed every time the sensor data from the sensor terminal 200A and the sensor data from the sensor terminal 200B are acquired by the environmental parameter acquisition unit 11.

The processing in steps S201 to S205 in FIG. 6 is the same as the processing in steps S101 to S105 shown in FIG. The ratio of the In this embodiment, the lifetime estimation unit 12, after calculating the average value T _O of the most recent temperature difference of a predetermined number of times in step S205, the rated ripple current I _N and ripple current measurements I _M of the capacitor 252 (I _N / I _M ) is calculated, and the degree of influence L _I that the ripple current of the capacitor 252 has on the lifetime is obtained according to the above equation (2) (step S206). Then, the life estimation unit 12 determines the rated life L ₀ of the capacitor 252, the reference temperature T _N used to calculate the rated life L ₀ , the average value T _O of the temperature difference calculated in step S 205, and in step S 206. based on the degree of influence _{L I} obtained, by the equation (3), to calculate the estimated lifetime L of the capacitor 252 (step S207). The processes in steps S208 to S212 in FIG. 6 are the same as the processes in steps S107 to S111 shown in FIG.

  As described above, in this embodiment, the ambient temperature and ripple current of the capacitor 252 mounted on the board 251 of the elevator control panel 250 are acquired as environmental parameters, and the capacitor is obtained using the ambient temperature and ripple current of the capacitor 252. Estimate a lifetime of 252. Then, in accordance with the estimated lifetime of the capacitor 252, the maintenance inspection schedule is updated so that the capacitor 252 is replaced at an appropriate timing. Therefore, according to the present embodiment, the maintenance inspection schedule can be optimized by reflecting the actual life of the capacitor 252 which is an example of the electrical component mounted on the elevator control panel 250. In the present embodiment, since the lifetime of the capacitor 252 is estimated using not only the ambient temperature of the capacitor 252 but also the ripple current, the lifetime of the capacitor 252 can be estimated more accurately than in the first embodiment.

<Third embodiment>
Next, a third embodiment will be described. FIG. 7 is a diagram for explaining an example of measuring environmental parameters in the third embodiment. In this embodiment, as shown in FIG. 7, life estimation of switches such as an electromagnetic switch 253, an electromagnetic relay (relay) 254, and an electromagnetic contactor (contactor) 255 mounted on the board 251 of the elevator control panel 250 is performed. The electrical parts that are subject to In the elevator control panel 250, the sensor terminal 200C for measuring the corrosive gas concentration around the switches, the sensor terminal 200D for measuring the humidity around the switches, and the temperature around the switches The sensor terminal 200E to be measured is arranged, and the sensor terminals 200C, 200D, and 200E measure the corrosive gas concentration, humidity, and temperature around the switches as environmental parameters. Examples of the corrosive gas include sulfur dioxide, hydrogen sulfide, nitrogen oxides, chlorine, and ammonia.

  Each of the sensor terminals 200C, 200D, and 200E includes a concentration sensor, a humidity sensor, and a temperature sensor as the sensor 201, and includes sensor data including the corrosive gas concentration, humidity, and temperature around the switches measured at a predetermined measurement cycle. Is output wirelessly. These sensor data are transmitted to the schedule management server 100 via the sensor GW 210, the communication device 230, and the communication line 300, and are received by the communication device 50 of the schedule management server 100.

  The environmental parameter acquisition unit 11 of the schedule optimizing device 10 includes sensor data including corrosive gas concentration around the switches measured by the concentration sensor of the sensor terminal 200C, and opening / closing measured by the humidity sensor of the sensor terminal 200D. When the communication device 50 receives the sensor data including the humidity around the device and the sensor data including the temperature around the switch measured by the temperature sensor of the sensor terminal 200E, the sensor data is acquired. And stored in the environment database 20.

  When the corrosive gas concentration, humidity, and temperature around the switches measured by the sensor terminals 200C, 200D, and 200E are measured, for example, when the corrosive gas concentration exceeds a predetermined concentration, the life estimation unit 12 Estimate the failure arrival time (lifetime) at which the contact points of switches are malfunctioning due to corrosion. For example, the life estimation unit 12 estimates the corrosion progress rate of the contacts of the switches based on the corrosive gas concentration, humidity, and temperature around the switches measured by the sensor terminals 200C, 200D, and 200E. To do. And the lifetime estimation part 12 estimates the failure arrival time of switches based on the estimated corrosion progress rate and the reliability evaluation data previously calculated | required by experiment. The reliability evaluation data is data indicating the relationship between the corrosion progressing speed of contacts of switches and the time until malfunction occurs at the contacts, and is created based on the results of experiments conducted in advance. , And stored in an external storage device such as an HDD or SSD. Note that here, when the corrosive gas concentration around the switch is equal to or higher than the specified concentration, the failure arrival time of the switch is estimated, but as a condition for estimating the failure arrival time of the switch Furthermore, a condition such as when the humidity or temperature around the switches becomes a predetermined value or more may be added.

  In addition to updating the maintenance inspection schedule based on the difference between the estimated life and the rated life described above, the schedule update unit 13 updates the maintenance inspection schedule so that the switches are reliably inspected during the maintenance inspection work. For example, the schedule update unit 13 refers to the maintenance / inspection schedule stored in the schedule database 40, and the failure arrival time of the switches estimated by the life estimation unit 12 is after the date of the next maintenance / inspection operation. In this case, the maintenance inspection schedule stored in the schedule database 40 is updated so that the inspection of the switches is distinguished from other work items as important work items of the next maintenance inspection work.

  The information output unit 14 refers to the maintenance and inspection schedule stored in the schedule database 40, and the failure arrival time of the switches estimated by the life estimation unit 12 is before the date of the next maintenance and inspection work. In this case, the maintenance terminal 500 used by the person in charge of the property displays information prompting the inspection and replacement of the switches. In addition, when the failure arrival time of the switches and the like estimated by the life estimation unit 12 is before the date of the next maintenance / inspection work, the information output unit 14 replaces the abnormality notification or the information output unit 14 The schedule update unit 13 may be configured to update the maintenance / inspection schedule stored in the schedule database 40 so as to advance the date of the next maintenance / inspection work together with the abnormality report.

  FIG. 8 is a flowchart illustrating an example of an operation procedure of the schedule optimization device 10 according to the third embodiment. The series of processes shown in the flowchart of FIG. 8 is repeatedly executed each time sensor data from the sensor terminals 200C, 200D, and 200E is acquired by the environmental parameter acquisition unit 11.

  When the sensor data from the sensor terminals 200C, 200D, and 200E is acquired by the environmental parameter acquisition unit 11, the life estimation unit 12 first uses the sensor data from the sensor terminal 200C to corrode the surroundings of the switches. It is determined whether or not the gas concentration is equal to or higher than a predetermined concentration (step S301). Here, if the corrosive gas concentration is less than the predetermined concentration (step S301: No), the process is terminated.

  On the other hand, if the corrosive gas concentration is equal to or higher than the predetermined concentration (step S301: Yes), the life estimation unit 12 uses the sensor data from the sensor terminals 200C, 200D, and 200E, and the corrosive gas concentration around the switches. Based on the humidity and temperature, the corrosion progress rate of the contacts of the switches is estimated (step S302). The life estimation unit 12 then determines the failure arrival time at which the contacts of the switches become defective due to corrosion based on the estimated value of the corrosion progress rate estimated in step S302 and the reliability evaluation data obtained in advance through experiments. (Life) is estimated (step S303).

  Next, the schedule update unit 13 and the information output unit 14 determine whether or not the failure arrival time estimated in Step S303 is before the next maintenance inspection work date (Step S304). If the failure arrival time is after the date of the next maintenance / inspection work (step S304: No), the schedule update unit 13 performs other work as an important work item for the next maintenance / inspection work by checking the switches. The maintenance inspection schedule stored in the schedule database 40 is updated so as to distinguish from the items (step S305), and the process is terminated. On the other hand, if the failure arrival time is earlier than the date of the next maintenance and inspection work (step S304: Yes), the information output unit 14 issues an abnormality report to inform the switch to check or replace the switch. The information is displayed on the maintenance terminal 500 used by the person in charge (step S306), and the process ends.

  As described above, in this embodiment, the corrosive gas concentration, humidity, and surroundings of the switches such as the electromagnetic switch 253, the electromagnetic relay 254, and the electromagnetic contactor 255 mounted on the board 251 of the elevator control panel 250 are as follows. The temperature is acquired as an environmental parameter, and the failure arrival time (life) of the switches is estimated using these environmental parameters. Then, according to the estimated failure arrival time of the switches, the maintenance / inspection schedule is updated and an abnormality is reported. Therefore, according to the present embodiment, the maintenance inspection schedule can be optimized by reflecting the actual life of the switches that are examples of the electrical components mounted on the elevator control panel 250.

<Fourth embodiment>
Next, a fourth embodiment will be described. FIG. 9 is a diagram for explaining an example of measuring environmental parameters in the fourth embodiment. In the present embodiment, as in the third embodiment described above, switches such as the electromagnetic switch 253, the electromagnetic relay 254, and the electromagnetic contactor 255 mounted on the board 251 of the elevator control panel 250 are subject to lifetime estimation. The failure arrival time (life) of the switches is estimated by the same method as in the third embodiment.

  Furthermore, in this embodiment, as shown in FIG. 9, a sensor terminal 200F for measuring the amount of dust in the elevator control panel 250 is provided in the elevator control panel 250, and the amount of dust in the elevator control panel 250 is one of the environmental parameters. To get. The sensor terminal 200F includes a dust sensor as the sensor 201, and wirelessly outputs sensor data including the amount of dust in the elevator control panel 250 measured at a predetermined measurement cycle. This sensor data is transmitted to the schedule management server 100 via the sensor GW 210, the communication device 230, and the communication line 300, and is received by the communication device 50 of the schedule management server 100.

  In this embodiment, the schedule optimizing device 10 optimizes the maintenance inspection schedule according to the amount of dust in the elevator control panel 250 in addition to the maintenance inspection schedule optimization by the same method as in the third embodiment. . That is, the schedule optimizing device 10 of the present embodiment monitors the amount of dust in the elevator control panel 250 using the sensor data of the sensor terminal 200F, and when the amount of dust exceeds the amount of dust in the elevator control panel 250, the elevator control panel 250. Since the performance of the cooling mechanisms such as the cooling fans 256 and the cooling fins 257 is predicted to deteriorate, the maintenance stored in the schedule database 40 is added so that the inspection of these cooling mechanisms is added to the work items of the next inspection work. Update the inspection schedule. Cooling mechanisms such as a cooling fan 256 and cooling fins 257 are provided in the elevator control panel 250 in order to dissipate heat from a heating element such as a semiconductor switching element.

  In addition, the schedule optimizing device 10 in the present embodiment, when the number of times that the amount of dust in the elevator control panel 250 becomes equal to or greater than a predetermined amount is equal to or greater than the first reference number (for example, 3 times), The inside is an environment where dust is likely to accumulate, and this dust may cause the insulation performance and electrical durability of the switches to deteriorate and cause a short circuit failure. The maintenance inspection schedule stored in the schedule database 40 is updated so as to distinguish it from other work items as important work items.

  Furthermore, in the schedule optimizing device 10 in the present embodiment, the number of times that the amount of dust in the elevator control panel 250 is equal to or greater than a predetermined amount is equal to or greater than the second reference number (for example, five times) greater than the first reference number. In this case, since the interior of the elevator control panel 250 is very easy to collect dust, it is desirable to check the switches quickly. Information that prompts inspection and replacement of equipment is displayed on the maintenance terminal 500 used by the person in charge of the property.

  FIG. 10 is a flowchart illustrating an example of an operation procedure of the schedule optimization device 10 according to the fourth embodiment. The series of processes shown in the flowchart of FIG. 10 is repeatedly executed every time sensor data from the sensor terminal 200F is acquired by the environmental parameter acquisition unit 11. The schedule optimizing apparatus 10 in this embodiment performs the same processing as that of the third embodiment shown in the flowchart of FIG. 8 separately from the processing shown in the flowchart of FIG.

  When the sensor data from the sensor terminal 200F is acquired by the environmental parameter acquisition unit 11, the schedule update unit 13 uses the sensor data from the sensor terminal 200F to increase the dust amount in the elevator control panel 250 to a predetermined amount or more. It is determined whether or not (step S401). Here, if the amount of dust in the elevator control panel 250 is less than the predetermined amount (step S401: No), the process is terminated.

  On the other hand, when the amount of dust in the elevator control panel 250 is equal to or greater than a predetermined amount (step S401: Yes), the schedule update unit 13 cools the cooling fan 256, the cooling fins 257, and the like in the elevator control panel 250. The maintenance inspection schedule stored in the schedule database 40 is updated so that the inspection of the mechanism is added to the work item of the next inspection work (step S402).

  Next, the schedule update unit 13 increments (increases by 1) the number counter that counts the number of times the amount of dust in the elevator control panel 250 exceeds a predetermined amount (step S403). It is determined whether or not the reference number has been exceeded (for example, 3 times) (step S404). Here, if the value of the number counter is less than the first reference number (step S404: No), the process ends.

  On the other hand, if the value of the number counter is equal to or greater than the first reference number (step S404: Yes), the schedule update unit 13 and the information output unit 14 determine that the second reference number (the number of times counter value is greater than the first reference number) It is determined whether or not (for example, 5 times) or more (step S405). If the value of the number counter is less than the second reference number (step S405: No), the schedule update unit 13 distinguishes the inspection of the switches from other work items as important work items for the next maintenance inspection work. As described above, the maintenance inspection schedule stored in the schedule database 40 is updated (step S406), and the process ends. On the other hand, if the value of the number counter is equal to or more than the second reference number (step S405: Yes), the property person in charge uses information that causes the information output unit 14 to issue an abnormality and prompt the inspection and replacement of the switches. The information is displayed on the maintenance terminal 500 (step S407), and the process ends.

  As described above, in the present embodiment, the amount of dust in the elevator control panel 250 is acquired as an environmental parameter, and provided in the elevator control panel 250 when the amount of dust in the elevator control panel 250 is a predetermined amount or more. The maintenance inspection schedule is updated so that the inspection of the cooling mechanism is added to the work item of the next maintenance inspection work. In addition, when the number of times that the amount of dust in the elevator control panel 250 exceeds a predetermined amount exceeds the first reference number, a maintenance inspection schedule is established so that inspection of the switches is regarded as an important work item from other work items. When the number of times that the amount of dust in the elevator control panel 250 exceeds the predetermined amount exceeds the second reference number, an abnormality is reported to prompt the property staff to check or replace the switches. Yes. Therefore, according to the present embodiment, as in the third embodiment described above, the maintenance inspection schedule is optimized by reflecting the actual life of the switches that are examples of the electrical components mounted on the elevator control panel 250. The maintenance inspection schedule can be further optimized according to the amount of dust in the elevator control panel 250.

  In the first to fourth embodiments described above, examples of the electrical components whose lifetime is to be estimated include the capacitor 252 and the switches such as the electromagnetic switch 253, the electromagnetic relay 254, and the electromagnetic contactor 255. The electrical components that are the targets of life estimation are not limited to this. The schedule optimizing device 10 targets various electric components mounted on an elevator control panel, such as a power converter such as an inverter and a converter, and a controller that controls the operation of the elevator, for estimation of the lifetime. The maintenance inspection schedule can be optimized according to the service life. In this case, the schedule optimizing device 10 may acquire environmental parameters related to the lifetimes of these electrical components that are targets for lifetime estimation.

  According to at least one embodiment described above, the maintenance inspection schedule can be optimized by reflecting the life of the electrical component according to the environmental conditions.

  Although several embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These examples and modifications thereof are included in the scope of the invention and the gist thereof, and are also included in the invention described in the claims and the equivalent scope thereof.

  10 schedule optimization device (maintenance inspection schedule optimization device), 11 environmental parameter acquisition unit, 12 life estimation unit, 13 schedule update unit, 14 information output unit, 200 sensor terminal, 250 elevator control panel, 252 capacitor, 253 electromagnetic switching 254 Magnetic Relay, 255 Magnetic Contactor, 256 Cooling Fan, 257 Cooling Fin

Claims (5)

An environmental parameter acquisition unit for acquiring environmental parameters related to the lifetime of the electrical components mounted on the elevator control panel;
A lifetime estimation unit that estimates the lifetime of the electrical component using the environmental parameters;
When the difference between the estimated lifetime of the electrical component and the rated lifetime of the electrical component is equal to or greater than a first threshold, the execution date and the work item of the elevator maintenance inspection work including the inspection or replacement of the electrical component are determined. A schedule update unit for updating the maintenance inspection schedule;
Information output for outputting information prompting inspection or replacement of the electrical component when the estimated lifetime of the electrical component becomes shorter than the rated lifetime of the electrical component by a second threshold value greater than the first threshold value And
Maintenance inspection schedule optimization device with The electrical component includes a capacitor;
The environmental parameter includes an ambient temperature of the capacitor measured in the elevator control panel,
The lifetime estimation unit estimates the lifetime of the capacitor based on the difference between the reference temperature used for calculating the rated lifetime of the capacitor and the ambient temperature.
The maintenance inspection schedule optimizing device according to claim 1 . The environmental parameter acquisition unit further acquires a ripple current of the capacitor measured by a current sensor,
The life estimation unit is based on the difference between the reference temperature used for calculating the rated life of the capacitor and the ambient temperature, and the ratio of the rated ripple current of the capacitor and the measured ripple current of the capacitor. Estimating the lifetime of the capacitor;
The maintenance inspection schedule optimization apparatus according to claim 2 . The electrical component includes a switch that is at least one of an electromagnetic contactor, an electromagnetic relay, and an electromagnetic switch,
The environmental parameters include corrosive gas concentration, humidity and temperature around the switches measured in the elevator control panel,
The life estimation unit calculates an estimated value of the corrosion progress rate based on the corrosive gas concentration, the humidity, and the temperature, and estimates the life of the switches based on the estimated value of the corrosion progress rate To
The maintenance inspection schedule optimizing device according to claim 1 . The environmental parameter acquisition unit further acquires the amount of dust measured in the elevator control panel,
The schedule update unit adds the inspection for the cooling mechanism in the elevator control panel, which is predicted to deteriorate in performance due to the influence of dust when the amount of dust exceeds a threshold, to the work item of the next maintenance inspection work. The maintenance inspection schedule is updated, and when the number of times the amount of dust exceeds the threshold reaches a predetermined number of times, the maintenance inspection schedule is set to distinguish inspection for the switches from other work items as important work items. Update,
The maintenance inspection schedule optimization apparatus according to claim 4 .

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