JP2003327366A - Preventive maintenance system of elevator - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a preventive maintenance system for an elevator capable of grasping the maintenance cost accurately when the elevator is delivered and offering the customer a service in conformity to the contents of the contract. <P>SOLUTION: The preventive maintenance system of the elevator includes a component lifetime analyzing and setting means 8 to analyze and set the lifetime of any component on the basis of the working measurements expressed by working items influencing the most upon the component lifetime, wherein the arrangement further includes a by-customer component lifetime predicting means 9 to predict the lifetime of the elevator at delivery for each customer on the basis of the design lifetime value or actual lifetime value stored in a component information storing part 7 and the working frequency reference value classified by customer specifications obtained from the past performance and stored in a customer information storing part 6 and a by-customer replacing period planning means 19 to make a by-customer replacing period planning for individual customers on the basis of the by-customer predicted value of the component lifetime obtained by the predicting means 9 and the contents of the customer contract stored in the information storing part 6. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator preventive maintenance system for setting the replacement time of maintenance parts to an optimum time.

[0002]

2. Description of the Related Art Conventionally, as a preventive maintenance system for production equipment, one described in, for example, Japanese Patent Laid-Open No. 2001-84021 is known. As shown in FIG. 5, the preventive maintenance system described in this publicly known document has a component life setting unit 16, a component operating time calculating unit 17, an alarm notifying unit 18, a failure tracking information displaying unit 19, and equipment configuration information. It comprises a display means 20 and an automatic parts ordering means 21, calculates the cumulative operating time of the parts based on the data relating to the factor that most affects the service life of the parts, and newly updates the parts when the parts are replaced. The cumulative operating time of replacement parts is set as the part life.

According to this preventive maintenance system, the service life of the parts becomes an accurate value based on the actual results, so that the replacement time of the maintenance parts can be set at an optimum time and the maintenance cost can be reduced.

[0004]

By the way, the life expectancy value of a component is obtained from the operating item that most affects the life of the component, for example, the design life value represented by the operating time, the production amount, the number of shots or the past performance. Since it is calculated in days, months or years based on the measured actual life value and the operating frequency measurement value of the customer, it should be different depending on the customer, but since the operating frequency of the customer is not known when delivering the equipment, maintenance It is difficult to accurately calculate the life expectancy of parts that is the basis of long-term maintenance plans required for cost calculation or maintenance contracts. In the preventive maintenance system according to the conventional example, the life expectancy of the parts at the time of delivery of the equipment is uniformly used for all the customers by using one operation frequency average value obtained from the past results. There is a possibility that there will be a big difference between the replacement plan and the replacement plan after operation, and there is a problem that the maintenance cost cannot be accurately grasped.

Further, in the preventive maintenance system according to the conventional example, the replacement time of parts is set to the same timing with respect to the life expectancy value for all customers, and differentiation is made by contract contents such as maintenance fee. Since there is no such service, there is a problem that a service according to the contract content cannot be provided to the customer.

In addition, in the preventive maintenance system according to the above-mentioned conventional example, it is necessary to convert the operation measurement value into the operation time, and to convert it twice in order to make a replacement plan based on the number of days, months or years. There is also a problem that the accuracy of does not improve.

Further, in the preventive maintenance system according to the above-mentioned conventional example, since the operation measured value for each part cannot be obtained in equipment other than the microcomputer type, that is, in equipment where the operation measured value cannot be measured, this preventive maintenance system is There is a problem that it cannot be applied and the optimum preventive maintenance cycle cannot be set.

In addition, in the preventive maintenance system according to the conventional example, only the replacement data of the parts due to the failure is used as the actual life value, so that the equipment downtime occurs each time the failure occurs, and In addition, there is a problem that it takes a long time to improve the accuracy of the actual life of the new part especially due to lack of data.

Therefore, it is practically difficult to apply the preventive maintenance system according to the conventional example as a preventive maintenance system for elevators.

The present invention has been made in view of the actual situation of the prior art as described above, and the first problem thereof is to minimize the difference between the life expectancy value and the preventive maintenance plan after the elevator is delivered and after the operation. The purpose is to provide a preventive maintenance system for elevators that can accurately grasp maintenance costs at the time of delivery and can provide customers with services according to contract details.

A second object of the present invention is to provide a preventive maintenance system for an elevator which can improve the accuracy of life prediction using operation measurement values represented by operation items that most affect the life of parts.

A third object of the present invention is to provide a preventive maintenance system for an elevator which can set an optimum preventive maintenance cycle even for an elevator whose operation measurement value of a part cannot be measured.

A fourth object of the present invention is to provide an elevator preventive maintenance system capable of improving the operating rate of the elevator and establishing early preventive maintenance for new parts.

[0014]

In order to solve the above-mentioned problems, the present invention firstly analyzes and sets the life of a part based on the operation measured value represented by the operation item that most affects the life of the part. In a preventive maintenance system for elevators equipped with a component life analysis / setting means that is obtained from the design life value or actual life value stored in the component information storage unit and the past performance stored in the customer information storage unit. Customer-specific component life predicting means for predicting the service life of the elevator during customer delivery from the customer-specific operation frequency reference value, customer-specific component life predicting value obtained by the customer-specific component life predicting means, and the customer information storage unit A customer-specific exchange cycle plan means for performing a customer-specific exchange cycle plan for each customer based on the customer contract content stored in FIG.

As described above, when the elevator is delivered, the operating frequency necessary for predicting the service life for each customer is not set to a uniform average value, but the designed service life value or the actual service life value stored in the component information storage unit. When the life prediction is performed for each customer from the operation frequency reference value for each customer specification obtained from the past record stored in the customer information storage unit, the life prediction value more suited to the operation state of the customer can be obtained. By minimizing the difference between the life expectancy value and the preventive maintenance plan when the elevator is delivered and after operation, the maintenance cost can be accurately grasped at the time of delivery. Moreover, since the parts replacement timing with respect to the life expectancy value can be adjusted according to the contract content, it is possible to provide the service according to the contract content to the customer.

In order to solve the above-mentioned problems, the present invention is, secondly, that the customer-specific component life predicting means is the designed life value or the actual life stored in the component information storage section after the operation of the elevator. The service life is predicted for each customer based on the value and the operating frequency measurement value of the customer stored in the customer information storage unit.

As described above, when the life of each component is not predicted by converting it into elevator operating time, the life is predicted by directly using the operating frequency measurement value, and the operating measurement value is used. The accuracy of life prediction can be improved and preventive maintenance of the elevator can be performed more reliably.

In order to solve the above-mentioned problems, the present invention thirdly, in the case of an elevator in which the operation measurement value cannot be measured for each component, the customer-specific component life predicting means sets the component after the elevator is in operation. The design life value or actual life value stored in the information storage unit and the elevator operating time stored in the customer information storage unit are obtained from the similar parts record of the elevator that can measure the operation measurement value for each part. The operation frequency reference value for each customer specification is used to obtain an operation frequency conversion value converted into the operation frequency measurement value, and the service life is predicted for each customer using the operation frequency conversion value.

As described above, for an elevator whose operation measurement value for each component cannot be measured, the operation frequency required for life prediction is not set to a uniform average value, but an elevator that can measure the operation measurement value is used. If you select and use a value that meets customer specifications from the operation frequency reference values that are categorized by customer specifications obtained from the results of similar parts, you can predict the service life that is closer to the actual operating condition. An optimal preventive maintenance cycle can be set even for elevators whose values cannot be measured.

In order to solve the above problems, the present invention is fourthly, a parts delivery instruction means for instructing the delivery of parts according to the plan obtained by the customer-specific replacement cycle planning means, and a repair exchange for the delivered parts. The repair / replacement work instructing means for instructing the work and the replacement part inspecting means for evaluating the service life of the repaired parts after replacement and storing the result in the customer information storage section are provided.

As described above, when the parts are shipped and the repair and replacement work is performed according to the plan obtained by the customer-specific replacement cycle planning means, the preventive replacement can be performed before the failure.
The occurrence of downtime can be suppressed, and the operating rate of the elevator can be increased. In addition, by investigating the parts collected by preventive replacement, it is possible to replace, collect, and investigate a fixed amount of parts more efficiently and systematically than the failed parts, so it is possible to obtain the actual life value. , It is possible to improve the operation rate of elevators and establish preventive maintenance for new parts at an early stage.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An example of an elevator preventive maintenance system according to the present invention will be described below with reference to FIGS.
FIG. 1 is a block diagram showing the configuration of an elevator preventive maintenance system according to an example embodiment, and FIG. 2 is a table diagram showing an example of operation frequency reference values for each customer specification pattern provided in the elevator preventive maintenance system according to an example embodiment. 3 is a flowchart showing a first example of operation of the elevator preventive maintenance system according to the embodiment example, and FIG. 4 is a flowchart showing a second example of operation of the elevator preventive maintenance system according to the embodiment example.

As shown in FIG. 1, the elevator preventive maintenance system of this example has a customer information storage unit 1 and a parts information storage unit 7.
From the component life analysis / setting means 8, the customer-specific component life prediction means 9, the customer-specific component replacement cycle planning means 10, the delivery instruction means 11, the repair / replacement instruction means 12, and the replacement part investigation means 15. It is mainly composed.

The customer information storage unit 1 stores customer specifications such as customer's elevator type, number of floors, loading capacity, model of parts constituting the elevator, usage, and installation environment. A table 2, a contract content table 3 in which, for example, a contract fee related to elevator maintenance, a contract inspection frequency, a contract maintenance cycle, contract inspection contents, etc. are stored, and a component failure history for each customer, a component state at the time of failure, Failure record table 4 that stores the operation measurement values, which are represented by the operation items that most affect the service life of the failure, and the failure record of the same model.
And, for example, the parts repair history for each customer, the status of parts at the time of repair / replacement, the remaining life survey result of repair / replacement parts, the above-mentioned operation measurement value at the time of repair / replacement, and the part repair / replacement history for the same model stored A replacement record table 5 and an operation information table 6 in which, for example, the operation measurement values for each elevator or component parts and the operation reference value for each customer specification are stored are stored. In the example of FIG. 2, the customer specification table 2 includes customer specification data including elevator types, total floors, load capacity, and operation frequency reference values for each of the customer specification patterns A, B, C, D. Is remembered.

The component information storage unit 7 stores, for example, component configurations, component deterioration modes, design life values, actual life values and the like.

The part life analysis / setting means 8 carries out cumulative hazard analysis of parts using the data from the customer information storage section 1 and the data from the part information storage section 7 to obtain the actual life value of the parts. . Then, in order to improve the accuracy of the system, the actual life value of the component information storage unit 1 is updated with this new actual life value. In the analysis / setting by the part life analysis / setting means 8, when the actual life is unknown, the life of the part is predicted based on the design life value, the parts replacement history is collected, and the real life is clarified. At this stage, the life expectancy of the parts is predicted with the actual life.

The customer-specific component life predicting means 9 uses the design life value or the actual life value stored in the part information storage unit 7 and the operation measurement value of the customer or the customer stored in the operation information table 6. Based on the specification frequency reference value, the life expectancy of the component is converted into days, months, and years.

The customer-specific parts replacement cycle planning means 10 is
A component replacement cycle is determined from the customer-specific component life prediction value obtained from the customer-specific component life prediction unit 9 and the customer contract content stored in the contract content table 3, and if necessary, Make exchange plans such as long-term plans, 5-year plans, 1-year plans, and half-year plans. In addition, necessary personnel, work cost and material cost are calculated, and an efficient plan is set.

The parts delivery instruction means 12 issues necessary instructions to the parts management department based on the replacement cycle determined by the customer-specific parts replacement cycle planning means 10, and repairs the parts to the parts repair and replacement worker. Give a replacement instruction.

The replacement part inspection means 15 is a part 13 that has been delivered by the instruction from the part delivery instruction means 12.
After the repair / replacement work 14 is performed by the part repair / replacement worker using the, the operation measurement value, deterioration mode check, and remaining of the repair / repair parts are checked as to whether or not the repair parts have reached the end of their lives. The actual life is estimated from the execution of the life test and the results of these investigations are stored in the repair / replacement record table 5 of the customer information storage unit 1.

Next, the operation of the elevator preventive maintenance system thus constructed will be described with reference to the flowcharts of FIGS. 3 and 4.

First, in step S1, it is determined whether or not a predetermined elapsed time after delivery of the elevator has been reached. If it is determined that the predetermined elapsed time has not been reached, the process proceeds to step S2, From the customer-specific operation frequency reference value obtained from the past results stored in the operation information table 6, the customer specifications stored in the customer specification table 6, for example, the past results illustrated in FIG. Select a customer specification pattern having an operating frequency reference value. In other words, during the few months immediately after the elevator is delivered, usually only luggage is loaded onto each floor, trial run, etc., and the operating status of the elevator parts such as the number of operating times, operating time, and monthly average running time is unstable. Therefore, when a parts replacement plan is made during such an unstable operation period, the operation frequency measurement value for each customer required for the customer-specific life prediction varies, and an accurate parts replacement plan cannot be made. Therefore, when a predetermined elapsed time after the elevator is delivered is set in advance and a parts replacement plan is made before the predetermined elapsed time is passed, it is obtained from the past results stored in the operation information table 6. Select an operating frequency reference value for each customer and make a parts replacement plan.

Next, in step S3, the customer-specific component life prediction value 9 is calculated by the customer-specific component life prediction means 9 using the design life value or the actual life value and the operation frequency reference value selected in step S2. For example, as represented by the following formula 1, the design life value N _{0 in} which the operation item that affects the life is represented by the number of operations is calculated as the operation frequency reference value n of the number of times the customer operates the part per month. by dividing by _a, it can be calculated predicting the life months Q.

[0034] _Q = the _{N 0} / n a _····· (1 type) Subsequently, in step S8, customer contracts stored customer-specific component life prediction value obtained in step S3 and the contract content table 3 Based on the contents, for example, the contract charge or the contract replacement, the customer-specific parts replacement cycle 10 is used to plan the customer-specific parts replacement cycle. For example, for a customer with a high contract fee, the replacement time is 5 against the calculated life expectancy value.
%, And for customers with a low contract fee, the replacement time is set to a time when the failure rate is 10% with respect to the calculated life expectancy value. Further, when the customer owns a plurality of elevators, the elevator preventive maintenance system of the present invention is applied for each manufacturing number.

As described above, in the elevator preventive maintenance system of this example, the operating frequency necessary for predicting the service life of each customer at the time of delivery of the elevator is not a uniform average value but a customer specification obtained from past results. Since a value that matches the customer's specifications is selected from the classified operation frequency reference values and used, it is possible to obtain a life expectancy value that is more in line with the customer's operation status, and a life expectancy value at the time of elevator delivery and after operation. Also, the difference between preventive maintenance plans can be minimized, and the maintenance cost can be accurately grasped at the time of delivery. Further, since the component replacement timing with respect to the life expectancy value is adjusted according to the contract content, it is possible to provide the service according to the contract content to the customer.

If it is determined in step S1 that the predetermined time has passed after the elevator is delivered, the process proceeds to step S4, and it is determined whether the control type is a microcomputer type elevator. In step S4, when it is determined that the control type is a microcomputer type elevator, the process proceeds to step S5,
Based on the design life or actual life value stored in the component information storage unit 7 and the operation measured value for each customer stored in the operation information table 6 of the customer information storage unit 1, the customer-specific component life prediction unit 9 identifies the customer. Calculate the life expectancy value. For example, as represented by the equation 2, a value obtained by subtracting the cumulative operation measurement value P _n from the time of delivery from the design life value N ₀ in which the operation item is the number of operations is calculated as Measured value, that is,
By dividing the operation frequency measurement value n by the average value, the life expectancy months Q can be calculated.

Q = (N ₀ −P _n ) / n (Equation 2) Thereafter, in step S8, the customer-specific component life prediction value obtained in step S5 and the contract content table 3 are stored. Based on the contents of the customer contract,
Will plan the parts replacement cycle for each customer.

As described above, in the elevator preventive maintenance system of this example, the life is not predicted for any part by converting the elevator operating time into the service life and predicting the service life by directly using the operation frequency measurement value. Therefore, the accuracy of life prediction using the operation measurement value can be improved.

In step S4, when it is determined that the control type is not the microcomputer type elevator, the process proceeds to step S6, and the operation frequency standard for each customer specification obtained from the past record stored in the operation information table 6 is used. Customer specifications stored in the customer specification table 2 based on the values, for example, operation frequency according to the customer specification pattern obtained from the past results shown in FIG. 3 from the reference value to the operation frequency that matches the elevator type, number of floors, load capacity, etc. Select the reference value.

Next, in step S7, the elevator cumulative operating time measured by the time measuring device is converted into an operating measured value by the operating frequency reference value. For example, cumulative operation measurement corresponding value P _{n 'is} operational and elevator cumulative operation time H stored in the information table 6, and customer specifications by operating frequency reference value n _a per month, customer elevator operation time per month n _{from h} ,
It can be calculated by the following three equations. The value thus obtained is stored in the operation information table 6.

P _n ′ = (n _a / n _h ) × H (Equation 3) Next, in step S 5, the design life value or the actual life value stored in the parts information table 7 and the customer information. Storage unit 1
The customer-specific component life prediction unit 9 calculates the customer-specific life prediction value from the cumulative operation measurement conversion value P _n ′ obtained by the above-described three expressions stored in the operation information table 6. For example, as represented by the following four equations, a value obtained by subtracting the cumulative operation measurement conversion value P _n ′ from the time of delivery to the design life value N _{0 where the} operation item is the number of operations is a monthly operation frequency standard. by dividing the value n _a, it is possible to calculate the life prediction months Q.

[0042] _{Q = (N 0 -P n '} ) / n a ····· (4 type) Thereafter, in step S8, the customer-specific component life prediction value obtained in step S5 and the contract content table 3 Based on the stored customer contract details, the customer-specific parts replacement cycle plan 10
Will plan the parts replacement cycle for each customer.

As described above, in the elevator preventive maintenance system according to the present embodiment, even for elevators in which the operation measurement value of each part cannot be measured, the operation frequency necessary for life prediction is not a uniform average value but the operation measurement value. A value that meets customer specifications is selected from the operation frequency reference values that are classified according to customer specifications obtained from the results of similar parts of elevators whose values can be measured. The optimum preventive maintenance cycle can be set.

Next, the processing after the customer-specific parts replacement cycle is planned will be described with reference to FIG.

First, in step S11, according to the parts replacement plan obtained by the customer-specific parts replacement cycle planning means 10, the delivery instruction means 11 makes a parts replacement cycle plan to, for example, a parts management department or a parts manufacturing department. We will contact you in advance and will notify the start of the delivery arrangement preparation grace period before the replacement period and give an instruction for delivery of parts. Similarly, in accordance with the parts replacement cycle plan, the repair and replacement instructing means 12 notifies, for example, the department in which the repair and replacement worker is present or the parts repair and replacement worker to notify the start of the repair and replacement arrangement preparation grace period and to give an instruction for replacement. And do. Next, in step S12, the parts are delivered 13 according to the plan, and the fact that the parts have been delivered is input to the customer information storage unit 1 using, for example, a mobile terminal. Also,
In step S13, the worker performs the repair / replacement work on the delivered part as planned, and the worker who performed the repair / replacement work in step S14 inputs the content of the replacement into the customer information storage unit 1 using, for example, a mobile terminal. . Further, in step S15, the replacement part is collected, it is investigated whether or not it is in the life state, and in step S17, it is determined whether or not the replacement part has reached the end of its life. If it is determined in step S17 that the replacement part has reached the end of its life, the process proceeds to step S18 to collect life data such as life status, deterioration mode, and operation measurement value, and store customer information in step S19. Part 1
It is entered in the repair replacement record table 4 of FIG. On the other hand, step S1
If it is determined in step 7 that the replacement part has not reached the end of its life, a remaining life test of this part is performed in step S16, and when it reaches the end of life, steps S17 and S1 are performed.
8, each processing of S19 is performed.

As described above, in the elevator preventive maintenance system of this example, the parts are preventively replaced before the failure, so that the downtime hardly occurs. Further, since the parts collected by the preventive replacement are investigated, it is possible to replace, collect, and investigate a certain amount of parts more efficiently and systematically than the failed parts, and it is possible to obtain the actual life value. Therefore, the operating rate of the elevator can be improved, and preventive maintenance for new parts can be established early.

[0047]

As described above, in the elevator preventive maintenance system of the present invention, when the elevator is delivered, the operation frequency necessary for predicting the service life for each customer is not a uniform average value, but the component information storage. The life expectancy is calculated for each customer based on the design life value or actual life value stored in the customer department and the operation frequency reference value for each customer specification obtained from the past results stored in the customer information storage unit. It is possible to obtain the life expectancy value according to the operating condition, minimize the difference between the life expectancy value after the elevator is delivered and after the operation and the preventive maintenance plan, and grasp the maintenance cost accurately at the time of delivery. Moreover, since the parts replacement timing with respect to the life expectancy value can be adjusted according to the contract content, it is possible to provide the service according to the contract content to the customer.

Further, since the elevator preventive maintenance system of the present invention does not predict the service life of each component by converting it to elevator operating time, the service life is predicted by directly using the operating frequency measurement value. It is possible to improve the accuracy of life prediction using the operation measurement value, and preventive maintenance of the elevator can be performed more reliably.

Further, the elevator preventive maintenance system of the present invention is applied to an elevator whose operation measurement value for each part cannot be measured.
Rather than setting a uniform average value for the operation frequency required for life prediction, the customer specifications are selected from the operation frequency reference values that are categorized according to the customer specifications obtained from the results of similar parts of elevators that can measure the operation measurement values. Since a value suitable for the selected value is used, it is possible to predict the service life closer to the actual operating state, and it is possible to set the optimal preventive maintenance cycle even for an elevator whose operating measurement value cannot be measured.

Further, since the elevator preventive maintenance system of the present invention carries out the delivery and repair work of the parts in accordance with the plan obtained by the customer-specific replacement cycle planning means, the preventive replacement can be performed before the failure and the downtime can be reduced. It is possible to suppress the occurrence of the above, and it is possible to increase the operation rate of the elevator. In addition, by investigating the parts collected by preventive replacement, it is possible to replace, collect, and investigate a fixed amount of parts more efficiently and systematically than the failed parts, so it is possible to obtain the actual life value. , Improve the operation rate of the elevator,
Preventive maintenance for new parts can be established early.

[Brief description of drawings]

FIG. 1 is a block diagram illustrating a configuration of an elevator preventive maintenance system according to an exemplary embodiment.

FIG. 2 is a table showing an example of operation frequency reference values for each customer specification pattern provided in the elevator preventive maintenance system according to the embodiment.

FIG. 3 is a flowchart showing a first example of the operation of the elevator preventive maintenance system according to the embodiment.

FIG. 4 is a flowchart showing a second example of the operation of the elevator preventive maintenance system according to the embodiment.

FIG. 5 is a block diagram showing a configuration of a production facility preventive maintenance system according to a conventional example.

[Explanation of symbols]

1 Customer information storage 7 Parts information storage 8 Parts life analysis and setting means 9 Customer-specific parts life prediction method 10 Part replacement cycle planning means by customer 11 Departure instruction means 12 Repair and replacement instruction means 15 Replacement Parts Survey Means

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Masateru Nakano             6-6 Kandanishikicho, Chiyoda-ku, Tokyo             Inside the Hitachi Building System (72) Inventor Shohei Sakai             6-6 Kandanishikicho, Chiyoda-ku, Tokyo             Inside the Hitachi Building System F term (reference) 3F303 BA01 CB42 FA01 FA02                 3F304 EA22 ED01 ED16

Claims (4)

[Claims] 1. A preventive maintenance system for an elevator equipped with a component life analysis / setting means for analyzing / setting the component life based on an operation measurement value represented by an operation item that most affects the component life, and storing the component information. A customer who predicts the service life of elevators for each customer based on the design life value or actual life value stored in the customer department and the operating frequency reference value for each customer specification obtained from past performance stored in the customer information storage unit. A separate component life prediction means, a customer-specific component life prediction value obtained by the customer-specific component life prediction means, and a customer contract content stored in the customer information storage unit. A preventive maintenance system for elevators, which is provided with a replacement cycle planning means. 2. The preventive maintenance system for an elevator according to claim 1, wherein the customer-specific component life predicting means stores the design life value or the actual life value stored in the component information storage unit after the elevator is operated. A preventive maintenance system for elevators, characterized in that the life of each customer is predicted from the customer's operating frequency measurement value stored in the customer information storage section. 3. In the preventive maintenance system for an elevator according to claim 1, in the case of an elevator in which the operation measurement value cannot be measured for each component, the customer-specific component life predicting means is configured to operate the component information after the elevator is in operation. The design life value or the actual life value stored in the storage unit and the elevator operating time stored in the customer information storage unit are obtained from the similar parts record of the elevator that can measure the operation measurement value for each part. Preventive maintenance of elevators, characterized in that the operating frequency conversion value converted to the operating frequency measurement value is calculated using the operating frequency reference value for each customer specification, and the life of each customer is predicted using the operating frequency conversion value. system. 4. The preventive maintenance system for an elevator according to claim 1, wherein a parts delivery instruction means for instructing the delivery of parts according to the plan obtained by the customer-specific replacement cycle planning means, and a repair / replacement work for the delivered parts Prevention of elevators, comprising repair / replacement work instructing means for instructing to perform the above, and a replacement part investigating means for evaluating the service life of the parts repaired after replacement and storing the result in the customer information storage section. Conservation system.