JP6848984B2 - Elevator renewal planning device - Google Patents

Description

The present invention relates to an elevator renewal planning device.

For example, Patent Document 1 discloses an elevator maintenance device. The maintenance device determines when to replace parts based on the amount of loss in the event of an elevator failure.

Japanese Patent Application Laid-Open No. 2003-238041

However, the maintenance device described in Patent Document 1 does not consider the renewal of the elevator. Therefore, it is not possible to create an appropriate renewal plan including the cost of the elevator in the maintenance device.

The present invention has been made to solve the above-mentioned problems. An object of the present invention is to provide an elevator renewal planning device capable of creating an appropriate renewal plan including the cost of the elevator.

Elevator update planning apparatus according to the present invention, the update without outage elevator based on the difference after the updating and before the update, in the in elevator operation due to not update the elevator The opportunity loss calculation unit that calculates the customer's opportunity loss, the failure loss calculation unit that calculates the customer's economic loss due to the failure stop of the elevator as the failure loss, and the failure rate of each part of the elevator are maintained below a certain value. At the same time, it is provided with an update plan creation unit that creates an update plan in consideration of the cost of the elevator including the opportunity loss calculated by the opportunity loss calculation unit and the failure loss calculated by the failure loss calculation unit. It was.

According to the present invention, the renewal plan is created so that the failure rate of each part of the elevator is kept below a certain value while the cost of the elevator including the opportunity loss due to not renewing the elevator is minimized. The elevator. Therefore, it is possible to create an appropriate renewal plan including the cost of the elevator.

It is a block diagram of the renewal planning device of an elevator in the actual form 1 of this invention. It is a figure for demonstrating the calculation method of the time-series change of the failure occurrence rate by the elevator update planning apparatus in the 1st form of the actual state of this invention. It is a figure for demonstrating the calculation method of the degree of deterioration of the elevator renewal planning apparatus in mode 1 of the actual state of this invention. It is a figure for demonstrating the correction method of the time-series change of the failure occurrence rate by the elevator update planning apparatus in the 1st form of the actual state of this invention. It is a figure for demonstrating the time-series change of the failure risk calculated by the update planning apparatus of an elevator in the 1st form of the actual state of this invention. It is a figure for demonstrating the data of the renewal menu and the renewal cost held by the renewal planning apparatus of the elevator in the 1st form of the actual state of this invention. It is a figure for demonstrating the renewal menu examined by the renewal planning apparatus of an elevator in mode 1 of the actual state of this invention, and the renewal time by the renewal menu. It is a figure for demonstrating the parts replacement time examined by the elevator renewal planning apparatus in form 1 of the actual state of this invention. It is a figure for demonstrating the relationship between the elapsed time and the cost shown by the elevator renewal planning apparatus in the actual form 1 of this invention. It is a figure for demonstrating operation of the elevator renewal planning apparatus in mode 1 of the actual state of this invention. It is a hardware block diagram of the elevator update planning apparatus in Embodiment 1 of this invention.

A mode for carrying out the present invention will be described with reference to the accompanying drawings. In each figure, the same or corresponding parts are designated by the same reference numerals. The duplicate description of the relevant part will be simplified or omitted as appropriate.

Embodiment 1.
FIG. 1 is a block diagram of an elevator renewal planning device according to the first embodiment of the present invention.

As shown in FIG. 1, the elevator update planning device 1 includes a construction history database 2, a failure history database 3, an update menu database 4, a measurement database 5, an operation history database 6, a customer building database 7, and a severity analysis database 8. And a model database 9.

The failure rate calculation unit 10, the deterioration degree calculation unit 11, the failure rate correction unit 12, the risk priority calculation unit 13, the transportation efficiency evaluation unit 14, the failure loss calculation unit 15, and the opportunity loss calculation unit 16 are included in the elevator update planning device 1. And the update plan creation unit 17.

The construction history database 2 uses the unique number of the elevator as the data of the model and model number of each elevator in operation at the delivery destination of the elevator, the operation start date, the installation location, the previous construction start date, the previous construction completion date, and the previous construction content. It is held in association with the data of a certain EV-ID.

The failure history database 3 holds data of the failure occurrence date of each elevator operating at the delivery destination of the elevator, the failure occurrence component, and the failure coping method in association with the EV-ID data.

The update menu database 4 holds the update menu name of the elevator such as "menu 1" and the data of the update parts and the update cost included in each menu in association with each other.

The measurement database 5 holds the data measured by each elevator operating at the delivery destination of the elevator in association with the EV-ID data. For example, the measurement database 5 holds at least one data of sound, current value, voltage value, image, temperature, and humidity in association with EV-ID data.

The operation history database 6 holds data of the number of times each elevator is activated, the total operating time, and the mileage at the delivery destination of the elevator in association with the EV-ID data. For example, the operation history database 6 holds data on the number of departures or stops of each elevator as data on the number of activations.

The customer building database 7 holds data of the number of floors and floor height of the building to which the elevator is delivered, the rated speed of each elevator, the car capacity, and the control method in association with the EV-ID data. The customer building database 7 holds these data in association with the data of the building ID, which is the unique number of the building.

The severity analysis database 8 holds the data of the severity S at the time of failure of each part of each elevator as the data quantifying the influence on the surroundings at the time of failure. For example, the severity analysis database 8 holds data of severity S calculated by prior FMEA analysis. For example, the severity analysis database 8 holds the severity S calculated in 10 steps from 0.1 to 1.0 by 0.1. For example, the severity S is set so that the larger the value, the greater the severity of the influence. For example, the severity S is set to 1.0 for a failure that has a significant effect on a preset event such as a rope breakage. For example, a severity S is set to 0.1 for a failure that does not have a significant effect on a preset event.

The model database 9 holds data on the power consumption of each elevator.

The failure rate calculation unit 10 has the operation start date data stored in the construction history database 2, the failure occurrence date and failure occurrence parts data stored in the failure history database 3, and the EV-stored in the customer building database 7. Based on the ID data, the time-series change p1 (t) of the failure occurrence rate of each component in all the elevators installed in the building is calculated.

The deterioration degree calculation unit 11 calculates the deterioration degree T2 of each part of each elevator based on the data stored in the measurement database 5. For example, the deterioration degree calculation unit 11 sets the elapsed time T2 corresponding to the data in which the value of the preset cross-correlation function is closest to 1 as the deterioration degree. For example, the cross-correlation function is normalized with the elevator operation start date as 0 and the elevator failure date as 1. In this case, the deterioration degree calculation unit 11 calculates the deterioration degree T2 with a numerical value between 0 and 1.

The failure rate correction unit 12 corrects the time-series change p1 (t) of the failure occurrence rate calculated by the failure rate calculation unit 10 based on the data of the deterioration degree T2 calculated by the deterioration degree calculation unit 11. For example, the failure rate correction unit 12 converts the time-series change p1 (t) of the failure rate into the time-series change p3 (T) of the failure rate. For example, the time-series change p3 (T) of the failure occurrence rate is a time-series change when the operation start date of the elevator is set to 0 and the elapsed time x at which the failure occurrence rate reaches P is set to 1. The failure rate correction unit 12 calculates the time-series change p4 (T) of the corrected failure rate based on the data of the time-series change p3 (T) of the failure rate.

The risk priority calculation unit 13 is the data of the time-series change p1 (t) of the failure rate calculated by the failure rate calculation unit 10 or the time-series change p4 of the corrected failure rate calculated by the failure rate correction unit 12 ( The time-series change R (T) of the risk priority of each component is calculated based on the data of T) and the data of the severity S at the time of failure held in the severity analysis database 8. For example, the risk priority calculation unit 13 calculates S × p4 (T) as the time-series change R (T) of the risk priority.

The transportation efficiency evaluation unit 14 calculates the transportation efficiency of the elevator before and after the update of the elevator.

For example, the transportation efficiency evaluation unit 14 calculates the difference in waiting time of the user as the transportation efficiency of the elevator. At this time, the transportation efficiency evaluation unit 14 calculates the time from the elevator leaving the main floor to returning to the main floor as the lap time of the elevator. The lap time is defined as the sum of the total travel time of the elevator, the total stop time, and the total boarding / alighting time of the user.

The transportation efficiency evaluation unit 14 calculates the total travel time by dividing the mileage per lap by the speed of the elevator. At this time, the transportation efficiency evaluation unit 14 calculates the mileage per lap based on the data of the number of floors and the floor height stored in the customer building database 7. The transportation efficiency evaluation unit 14 acquires the value of the elevator speed from the rated speed data stored in the customer building database 7.

The transportation efficiency evaluation unit 14 calculates the total stop time by integrating the time that increases with each stop including the acceleration / deceleration time and the door opening / closing time and the number of stops per lap. At this time, one stop includes an acceleration / deceleration time and a door opening / closing time. The transportation efficiency evaluation unit 14 calculates the time that increases with each stop by dividing the rated speed of the customer database by the acceleration and the deceleration defined by the control method of the customer database. The transportation efficiency evaluation unit 14 calculates the value of the door opening / closing time based on the control method of the customer database. The transportation efficiency evaluation unit 14 calculates the expected value of the number of destination floors when 80% of the elevator capacity is on board from the main floor as the number of stops per lap.

The transportation efficiency evaluation unit 14 acquires the value of the elevator capacity from the car capacity of the customer building database 7. The transportation efficiency evaluation unit 14 calculates the total boarding / alighting time of users by integrating the number of users and the boarding / alighting time per user. At this time, the transportation efficiency evaluation unit 14 calculates the total boarding / alighting time of the users with 80% of the capacity of the elevator as the number of users. The transportation efficiency evaluation unit 14 defines in advance the boarding / alighting time per user.

For example, if the unit of the lap time RTT is seconds and N elevators are installed, the car of one of the elevators arrives at the main floor at intervals of (RTT / N). In this case, the maximum waiting time of the user is (RTT / N) seconds. The shortest waiting time for the user is 0 seconds. The average waiting time of the user is (RTT / 2N).

For example, the transportation efficiency evaluation unit 14 calculates the difference in the total travel time of the users before and after updating the elevator as the transportation efficiency of the elevator. For example, the transportation efficiency evaluation unit 14 calculates the sum of the waiting time at the user's landing and the boarding time from when the user gets in the elevator car to when he / she gets off at the destination floor as the total travel time.

At this time, the transportation efficiency evaluation unit 14 calculates the direction reversal floor when 80% of the elevator capacity users get on the car from the main floor and depart upward. For example, the transportation efficiency evaluation unit 14 sets the expected value of the top floor of the destination floor when 80% of the elevator capacity users get on the car from the main floor as the direction reversal floor. The transportation efficiency evaluation unit 14 calculates the traveling time R1 from the main floor to the direction-reversing floor by subtracting the traveling time from the direction-reversing floor to the main floor from the lap time RTT.

The transportation efficiency evaluation unit 14 calculates the first stop floor when 80% of the elevator capacity users get on the car from the main floor and depart upward. For example, the transportation efficiency evaluation unit 14 sets the expected value of the lowest floor of the destination floor when 80% of the elevator capacity users get on the car from the main floor as the first stop floor. The transportation efficiency evaluation unit 14 calculates the travel time R2 from the main floor to the first stop floor by dividing the travel distance from the main floor to the first stop floor by the rated speed.

The transportation efficiency evaluation unit 14 sets the average boarding time of the user as ((R1 + R2) / 2). The transportation efficiency evaluation unit 14 sets the average total travel time per user as (RTT / (2N) + (R1 + R2) / 2).

The transportation efficiency evaluation unit 14 may not calculate the total travel time of the user from the round-trip time RTT. In this case, for example, the transportation efficiency evaluation unit 14 may calculate the total travel time of the user by simulation. In this case, the floor and height of the target building, the number of elevator cars, the rated speed, and the capacity are set in the simulation. In the simulation, when an arbitrarily set user calls the elevator, the appropriate car responds. After that, the user gets in the basket. After that, the elevator door closes. After that, the car moves to the destination floor desired by the user. After that, the user gets off the car on the destination floor. At this time, the transportation efficiency evaluation unit 14 sets the travel time from the arrival time of each user at the landing to the time of getting out of the car after getting in the car as the total travel time of the user in the simulation.

The failure loss calculation unit 15 calculates the customer's economic loss due to the failure stop of the elevator as the failure loss. For example, the failure loss calculation unit 15 estimates the difference in the total travel time of the user before and after the occurrence of the elevator failure based on the total travel time data calculated by the transportation efficiency evaluation unit 14. The failure loss calculation unit 15 calculates the customer's economic loss based on the production cost rate per unit time of the user who works in the customer's building.

The failure loss calculation unit 15 calculates the average value of the period obtained by subtracting the failure occurrence date of the failure history database 3 from the previous construction completion date of the construction history database 2 as the stop period of the elevator operation when a failure of each part occurs. To do. The failure loss calculation unit 15 operates (N-1) elevators from the average total travel time per user when N elevators are operating in the customer's building where N elevators are installed. Calculate the value D1 (seconds) obtained by subtracting the average total travel time per user when the elevator is in the middle. The average total travel time per user at this time is calculated by the transportation efficiency evaluation unit 14.

When the number of users of the customer's building is K (persons), the failure loss calculation unit 15 calculates D1 × K as the difference in the total travel time of the users of the customer's building in one day. The failure loss calculation unit 15 calculates D1 × K × M as the difference in the total travel time when the operation stop period of the elevator is M days. For example, the failure loss calculation unit 15 calculates D1 × K × M × I / 3600 as the customer's economic loss when the production cost rate per unit time of the customer's building user is I (yen / hour). To do. The number of users of the customer's building K and the production cost rate I are defined in advance.

The failure loss calculation unit 15 may not calculate the average value of the period obtained by subtracting the failure occurrence date of the failure history database 3 from the previous construction completion date of the construction history database 2 as the stop period of the elevator operation. For example, if the elevator is systematically updated before the part fails, the part will not fail. Therefore, the suspension period of the operation of the failed elevator is shorter than the suspension period of the operation of the elevator due to the failure of parts. In this case, the failure loss calculation unit 15 calculates the average value of the period obtained by subtracting the previous construction start date from the previous construction completion date of the construction history database 2 as the elevator operation stop period. For example, if the elevator is updated at night, the update does not affect the use of the elevator. In this case, the failure loss calculation unit 15 sets the suspension period of the elevator operation to 0 days.

If the number of elevators installed in the customer's building is one, if the elevator breaks down, the elevator cannot be used. In this case, the fault loss calculation unit 15 calculates based on the height H _F of the F floor data of each floor story height of the customer building database 7. At this time, the failure loss calculation unit 15 sets the time required to move up and down 1 m using the stairs to L (seconds / m), the population on the F floor to K _F (m), and the number of users to K (people). ), And the total travel time T of the user when using the stairs is calculated. Specifically, the failure loss calculation unit 15 calculates the total travel time T using the following equation (1).

The failure loss calculation unit 15 is economical for the customer by integrating the production cost rate I into the difference between the total travel time T of the user when using the stairs and the total travel time of the user when the elevator is operating. Calculate the loss. If the elevator operation is stopped for M days, the total travel time is M × T.

The opportunity loss calculation unit 16 calculates the opportunity loss of the customer due to not updating the elevator. For example, the opportunity loss calculation unit 16 estimates the difference in power consumption before and after updating the elevator based on the power consumption data held in the model database 9. The opportunity loss calculation unit 16 calculates the difference in electricity charges before and after the elevator is updated as a customer opportunity loss. For example, the opportunity loss calculation unit 16 estimates the difference in the total travel time before and after the elevator update based on the total travel time calculated by the transportation efficiency evaluation unit 14. The opportunity loss calculation unit 16 calculates the amount of loss of the customer based on the production cost rate I per unit time of the user of the customer's building.

Specifically, the opportunity loss calculation unit 16 acquires the value of the power consumption of the model before and after the update of the elevator from the model database 9. For example, the opportunity loss calculation unit 16 acquires the value of the average power consumption E (kWh) when the elevator operates for one hour. For example, the opportunity loss calculation unit 16 acquires the value of the power consumption E1 before updating the elevator. The opportunity loss calculation unit 16 acquires the value of the power consumption E2 after updating the elevator. If the number of elevators installed in the customer's building is N and the electricity rate per kWh in the area where the customer's building is constructed is R (yen / kWh), the opportunity loss calculation unit 16 does not update the elevators. (E2-E1) × 24 × N × R (yen) is calculated as the opportunity loss per day due to this.

By updating the elevator, the rated speed, capacity, acceleration, deceleration, door opening / closing time, etc. of the elevator will also be changed. Therefore, the total travel time of the user also changes. At this time, the opportunity loss calculation unit 16 subtracts the total travel time of the user after the elevator update from the total travel time of the user before the elevator update to obtain the total travel time of the user before and after the elevator update. Calculate the difference. The opportunity loss calculation unit 16 calculates the customer's opportunity loss by integrating the production cost rate I with the difference in the total travel time of the user before and after the elevator is updated.

The update plan creation unit 17 creates an update plan that defines an appropriate update menu and an appropriate update time by the update menu from the update menu database 4. For example, the renewal plan creation unit 17 creates a renewal plan that minimizes the cost of the elevator while maintaining the failure risk below a certain value. At this time, the update plan creation unit 17 uses the failure loss data calculated by the failure loss calculation unit 15. The update plan creation unit 17 uses the opportunity loss data calculated by the opportunity loss calculation unit 16. The update plan creation unit 17 uses the update menu data stored in the update menu database 4. The update plan creation unit 17 uses the data of the time-series change of the failure risk of each component calculated by the risk priority calculation unit 13.

Next, a method of calculating the time-series change p1 (t) of the failure occurrence rate will be described with reference to FIG.
FIG. 2 is a diagram for explaining a method of calculating a time-series change in the failure occurrence rate by the elevator renewal planning device according to the actual mode 1 of the present invention.

The failure rate calculation unit 10 calculates the failure rate of each component in preset units. For example, the failure rate calculation unit 10 calculates the failure rate of each component on a monthly basis. For example, the failure rate calculation unit 10 calculates the failure rate of each component on a yearly basis. For example, the failure rate calculation unit 10 calculates the failure rate of each component every five years.

As shown in FIG. 2, when the failure occurrence rate is calculated in units of 5 years, the failure rate calculation unit 10 determines that the failure occurrence date is 5 years for the failure occurrence component when the "failure occurrence date-operation start date" is within 5 years. Aggregate as the number of eye failures. When the "failure occurrence date-operation start date" is within 10 years, the failure rate calculation unit 10 totals the number of failures of the failed parts in the 10th year. When the "failure occurrence date-operation start date" is within 15 years, the failure rate calculation unit 10 totals the number of failures of the failed parts in the 15th year. When the "failure occurrence date-operation start date" is within 20 years, the failure rate calculation unit 10 totals the number of failures of the failed parts in the 20th year. When the "failure occurrence date-operation start date" is within 25 years, the failure rate calculation unit 10 totals the number of failures of the failed parts in the 25th year.

The failure rate calculation unit 10 calculates the failure rate of the failed component within 5 years by dividing the number of failures in the 5th year by the total number of units. The failure rate calculation unit 10 calculates the failure rate of the failed component within 10 years by dividing the number of failures in the 10th year by the total number of units. The failure rate calculation unit 10 calculates the failure rate of the failed component within 15 years by dividing the number of failures in the 15th year by the total number of units. The failure rate calculation unit 10 calculates the failure rate of the failed component within 20 years by dividing the number of failures in the 20th year by the total number of units. The failure rate calculation unit 10 calculates the failure rate of the failed component within 25 years by dividing the number of failures occurring in the 25th year by the total number of units. As a result, the time-series change p1 (t) of the failure occurrence rate is obtained.

Although the value of "Failure occurrence date-Operation start date" is large and the number of failures is only aggregated on a yearly basis, it may be necessary to calculate the time-series change in the failure occurrence rate on a monthly basis. In this case, the failure rate calculation unit 10 performs the regression analysis based on the annual aggregation result. For example, the failure rate calculation unit 10 performs logistic regression analysis based on the annual aggregation result. The failure rate calculation unit 10 creates an approximate expression p1 (t) with the elapsed time t as a variable. The failure rate calculation unit 10 calculates the failure rate in units shorter than the aggregation unit based on the approximate expression.

Next, a method of calculating the degree of deterioration T2 will be described with reference to FIG.
FIG. 3 is a diagram for explaining a method of calculating the degree of deterioration of the elevator renewal planning device according to the first aspect of the actual state of the present invention.

For example, the deterioration degree calculation unit 11 analyzes the frequency and amplitude of the sound when the microphone collects sound data at the time of starting the elevator hoisting machine. For example, as shown in FIG. 3, the deterioration degree calculation unit 11 has the frequency and amplitude of the sound at the time of starting the hoisting machine from the operation start date of a plurality of other elevators in the past to the failure occurrence date of the hoisting machine. Based on the time-series data of and, the time-series change of the frequency and amplitude of the sound at the time of starting the hoist is learned. For example, the deterioration degree calculation unit 11 averages the data of the frequency and amplitude of the sound at the time of starting the hoisting machine in the same elapsed time from the operation start date of the plurality of elevators in the past, so that the hoisting machine is started up. Learn the time-series changes in the frequency and amplitude of the sound of.

Time series data may be collected discretely due to the storage capacity of the data. For this reason, data may not be collected when a specified time has passed since the start of operation. In this case, the deterioration degree calculation unit 11 winds the sound based on the time-series data of the frequency and amplitude of the sound at the time of starting the hoisting machine from the operation start date of the plurality of elevators in the past to the failure occurrence date of the hoisting machine. Approximate formula p2 expressing the time-series change between the frequency and amplitude of the sound at the time of starting the upper machine is created by regression analysis. The deterioration degree calculation unit 11 complements the value of the elapsed time that has not been collected based on the approximate expression p2 that is continuous with respect to the elapsed time.

The deterioration degree calculation unit 11 calculates a cross-correlation function between the data of the frequency and the amplitude of the sound currently being measured and the data of the frequency and the amplitude of the sound at each elapsed time. For example, as shown by the black circle in FIG. 3, the deterioration degree calculation unit 11 sets the elapsed time T2 in which the data in which the value of the cross-correlation function is closest to 1 is recorded as the deterioration degree.

The degree of deterioration T2 is represented by a numerical value between 0 and 1 as the degree of deterioration of the current parts when the state where the elevator is new is 0 and the state where the elevator is out of order is 1. The progress of deterioration of each part differs depending on the usage environment of each elevator. Therefore, the elapsed time T2 in which the data closest to the current measurement data is measured may not match the elapsed time from the operation start date of the target elevator.

The deterioration degree calculation unit 11 may calculate the deterioration degree T2 by the same method based on the time series data of the current value flowing through the specific component. The deterioration degree calculation unit 11 may calculate the deterioration degree T2 by the same method based on the time series data of the voltage values of the specific parts. The deterioration degree calculation unit 11 may calculate the deterioration degree T2 by the same method based on the time series data of the image of the specific component. The deterioration degree calculation unit 11 may calculate the deterioration degree T2 by the same method based on the time series data of the temperature of a specific component. The deterioration degree calculation unit 11 may calculate the deterioration degree T2 by the same method based on the time series data of the specific component relative humidity.

Next, a method of correcting the time-series change p1 (t) of the failure occurrence rate will be described with reference to FIG.
FIG. 4 is a diagram for explaining a method of correcting a time-series change in the failure occurrence rate by the elevator renewal planning device according to the actual mode 1 of the present invention.

In FIG. 4, the time-series change p3 (T) of the failure occurrence rate is P1 (T × x). The failure rate correction unit 12 calculates T3 based on the current elapsed time T1 and the degree of deterioration T2 when the elapsed time when the failure occurrence rate becomes P is normalized to 1. Specifically, the failure rate correction unit 12 calculates T3 using the following equation (2).

However, α is an arbitrary value of 0 or more and 1 or less. P is an arbitrary value.

As a result of adding the degree of deterioration T2, it is estimated that even if the current elapsed time is T1, the component is deteriorated in the same manner as when the elapsed time is T3. Therefore, the failure rate is estimated to be equivalent to p3 (T3). At this time, the failure rate correction unit 12 calculates the time-series change p4 (T) of the corrected failure rate using the following equation (3).

Next, a method of creating an elevator renewal plan will be described with reference to FIGS. 5 to 9.
FIG. 5 is a diagram for explaining the time-series change of the failure risk calculated by the elevator renewal planning device in the actual mode 1 of the present invention. FIG. 6 is a diagram for explaining the data of the renewal menu and the renewal cost held by the renewal planning device of the elevator in the actual mode 1 of the present invention. FIG. 7 is a diagram for explaining an update menu examined by the elevator update planning device according to the first embodiment of the present invention and an update time by the update menu. FIG. 8 is a diagram for explaining a parts replacement time examined by the elevator renewal planning device in the first aspect of the actual state of the present invention. FIG. 9 is a diagram for explaining the relationship between the elapsed time and the cost shown by the elevator renewal planning device in the first embodiment of the present invention.

For example, as shown in FIG. 5, the time-series changes in the failure risk of the component A, the component B, the component C, and the component D are different from each other. The failure risk returns to 0 when the target part is replaced.

For example, as shown in FIG. 6, the data of the update menu name is associated with the data of the parts to be updated and the data of the update cost. For example, the data of "○" is added to the columns of "A" and "D" of "Menu 1 (M1)". For example, the data of "C1" is added to the "renewal cost" column of "menu 1 (M1)". For example, the data of "○" is added to the columns of "A" and "B" of "Menu 2 (M2)". For example, the data of "C2" is added to the "renewal cost" column of "menu 2 (M2)". For example, the data of "○" is added to the columns of "A" and "C" of "Menu 3 (M3)". For example, the data of "C3" is added to the "renewal fee" column of "menu 3 (M3)". For example, the data of "○" is added to the columns of "C" and "D" of "Menu 4 (M4)". For example, the data of "C4" is added to the "renewal fee" column of "menu 4 (M4)".

In the context of FIGS. 5 and 6, for the failure risk is maintained below ThR the elapsed time from the operation start date of construction history database 2 when T _A, the elevator by the update menu containing component A Needs an update. Therefore, the elapsed time when T _A, it is necessary to lift the updating by either "Menu 1 (M1)" and "menu 2 (M2)" and "menu 3 (M3)".

Next, the component whose failure risk reaches ThR is component B. Therefore, the elapsed time when the T _B, the elevator updates required by "Menu 2 (M2)" including parts B. However, if the elapsed time is elevator updated by "Menu 2 (M2)" when the T _A is made, the failure risk of the component B is already reduced. For this reason, the elapsed time is not necessary to again update the elevator by the "menu 2 (M2)" at the time of T _B.

Next, the component whose failure risk reaches ThR is component C. Therefore, when the elapsed time is T _C, the including parts C "Menu 3 (M3)" or "Menu 4 (M4)" is required elevator updated. However, if the elapsed time is elevator updated by "Menu 3 (M3)" when the T _A is made, the failure risk of the component C is already reduced. For this reason, the elapsed time is not necessary to again update the elevator by the "menu 3 (M3)" or "menu 4 (M4)" when the T _C.

The cost in the case of renewal by "menu 1 (M1)" is calculated as the sum of the renewal cost C1 and the loss when "menu 1 (M1)" is executed. The cost for updating by "Menu 2 (M2)" is also calculated in the same manner. The cost in the case of updating by "Menu 3 (M3)" is also calculated in the same manner. The cost in the case of updating by "Menu 4 (M4)" is also calculated in the same manner.

Candidates for the renewal plan are shown as shown in FIG. In FIG. 7, the contacts are called nodes. The side connecting the contacts is called the edge. Updating planning unit 17 selects a plurality of solutions which can be taken over the designated and duration T _A and T _B and T _C proceed to the next node as a candidate of the plurality of update plan.

For example, the update plan generator 17, the elapsed time from the start node S to correspond to the time of T _A, decides to proceed to one of the nodes of the node M1 and node M2 and node M3. The update plan creation unit 17 calculates the cost when proceeding to each node. Update plan creating section 17, elapsed time is to correspond to the time of T _B, calculates the decision node and the computation of the cost of it. Update plan creating section 17, elapsed time is to correspond to the time of T _C, calculates the decision node and the computation of the cost of it. The update plan creation unit 17 repeats these operations.

For example, when a 50-year renewal plan is considered, the renewal plan creation unit 17 determines the renewal plan corresponding to the route to the node having the lowest cost after 50 years as the optimum renewal plan. .. In the renewal plan at this time, the failure risk is maintained below the constant value of ThR. For example, the renewal plan creation unit 17 efficiently determines the renewal plan by using the Dijkstra method. For example, the renewal plan creation unit 17 efficiently determines the renewal plan by using Aster search.

As shown in FIG. 8, the update plan creation unit 17 also creates an update plan in which only the failed parts are replaced on the assumption that the parts will fail when the failure risk reaches ThR. In this case, when the elapsed time reaches T _A, component A fails. At this time, the replacement FA of the part A is carried out. When the elapsed time reaches T _B, component B fails. At this time, the replacement FB of the part B is carried out. When the elapsed time reaches T _C, part C to fail. At this time, the replacement FC of the component C is carried out. When the elapsed time _{reaches T D} , the part D fails. At this time, the replacement FD of the component D is carried out. The update plan creation unit 17 repeats these operations.

The cost in the case of the replacement FA is calculated as the sum of the renewal cost required for the replacement of the part A, the loss when the replacement FA is performed, and the opportunity loss due to not updating the elevator. The cost in the case of exchange FB is calculated in the same manner. The cost in the case of exchange FC is calculated in the same manner. The cost in the case of the exchange FD is calculated in the same manner.

If the opportunity loss is a daily opportunity loss due to not updating the elevator, the opportunity loss increases in proportion to the elapsed time. Therefore, opportunity loss continues to increase in proportion to the elapsed time from that point the elapsed time T _A as a starting point.

The renewal plan creation unit 17 creates data on time-series changes in the costs of both based on the renewal plan when parts are replaced by updating the elevator and the renewal plan in which only the parts are replaced when the parts break down. ..

For example, as shown in FIG. 9, the update plan generator 17, it updates the elapsed time period has elapsed to implement the update M2 upon reaching T _A to implement the update M4 upon reaching T _C Planning And based on the update plan to replace only the part when the part breaks down, the data of the time series change of the cost of both is created. For example, the update plan creation unit 17 causes the display device to display the time-series changes in the costs of both parties based on the data.

In the update, multiple parts are replaced. Therefore, when the elapsed time reaches the T _A, cost of updating M2 is performed is greater than the cost of replacement FA was performed. When the elapsed time reaches the T _B, cost of updating M4 is performed is greater than the cost of replacement FC was performed.

However, the loss amount when a part breaks down includes not only the elevator stop time during the construction period but also the loss amount corresponding to the elevator stop time due to the failure. Therefore, the amount of loss when the update M2 is carried out is smaller than the amount of loss when the exchange FA is carried out. When the elapsed time reaches the T _B, the amount of the loss when the update M4 is carried out is smaller than the amount of loss at the time of replacement FC was performed.

Furthermore, in a renewal plan in which only the part is replaced when the part fails, the opportunity loss increases in proportion to the elapsed time. As a result, costs continue to increase over time.

The opportunity loss is calculated as a loss in the renewal plan in which only the part is replaced when the part fails. Therefore, in FIG. 10, the cost increases in proportion to the elapsed time.

Opportunity loss, on the other hand, can be seen as a recoverable cost in a renewal plan when a part is replaced by renewal before the part fails. In this case, in the equipment renewal plan in which the parts are replaced by renewal before the parts fail, the cost is reduced in proportion to the elapsed time by the amount of the opportunity loss. For example, the renewal plan creation unit 17 determines the time-series change of both costs based on the data when the opportunity loss is the recoverable cost in the renewal plan when the part is replaced by renewal before the part fails. It may be displayed on a display device.

Next, the operation of the update planning device 1 will be described with reference to FIG.
FIG. 10 is a diagram for explaining the operation of the elevator renewal planning device according to the first embodiment of the present invention.

In step S1, the update planning device 1 calculates the time-series change in the failure occurrence rate of each component. After that, the update planning device 1 performs the operation of step S2. In step S2, the update planning device 1 calculates the degree of deterioration of each component of each elevator. After that, the update planning device 1 performs the operation of step S3.

In step S3, the update planning device 1 corrects the time-series change in the failure occurrence rate of each component. After that, the update planning device 1 performs the operation of step S4. In step S4, the update planning device 1 calculates the risk priority of each component. After that, the update planning device 1 performs the operation of step S5.

In step S5, the renewal planning device 1 calculates the transportation efficiency of the elevator before and after the renewal of the elevator. After that, the update planning device 1 performs the operation of step S6. In step S6, the update planning device 1 calculates the failure loss when the operation of the elevator is stopped due to a failure. After that, the update planning device 1 performs the operation of step S7.

In step S7, the renewal planning device 1 calculates the customer opportunity loss due to not renewing the elevator. After that, the update planning device 1 performs the operation of step S8. In step S8, the update planning device 1 creates an update plan. After that, the update planning device 1 ends the operation.

According to the first embodiment described above, the renewal plan keeps the failure rate of each part of the elevator below a certain value, and minimizes the cost of the elevator including the opportunity loss due to not renewing the elevator. Is created to be. Therefore, it is possible to create an appropriate renewal plan including the cost of the elevator.

In addition, the renewal plan includes the renewal menu applied to the elevator and the application time of the renewal menu. Therefore, it is possible to minimize the cost including the opportunity loss while keeping the failure risk below a certain value.

For example, opportunity loss is calculated based on the difference in power consumption before and after the elevator is updated. Therefore, the cost including the power consumption of the elevator can be minimized.

For example, opportunity loss is calculated based on the difference in user waiting time or total travel time. Therefore, the cost including the waiting time of the user or the total travel time can be minimized.

Further, the failure rate of each component is corrected based on the degree of deterioration of each component. Therefore, a more rational renewal plan can be created based on a more accurate failure rate that takes into account the usage environment of each elevator.

In addition, the failure rate of each component is corrected based on the severity of the failure. Therefore, a more rational equipment plan can be created based on a more appropriate failure rate that takes into account the severity of the failure.

In addition, data on time-series changes in the costs of two or more renewal plans is created. Therefore, the economic benefits of the cost-minimized renewal plan can be shown to the customer based on the data. As a result, the appealing power of elevator renewal can be improved.

Next, an example of the update planning device 1 will be described with reference to FIG.
FIG. 11 is a hardware configuration diagram of the elevator update planning device according to the first embodiment of the present invention.

The function of the update planning device 1 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 18a and at least one memory 18b. For example, the processing circuit includes at least one dedicated hardware 19.

When the processing circuit includes at least one processor 18a and at least one memory 18b, the function of the update planning device 1 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. At least one of the software and firmware is stored in at least one memory 18b. At least one processor 18a realizes the function of the update planning device 1 by reading and executing the program stored in at least one memory 18b. At least one processor 18a is also referred to as a CPU (Central Processing Unit), a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a DSP. For example, at least one memory 18b is a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, EEPROM, magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD or the like.

If the processing circuit comprises at least one dedicated hardware 19, the processing circuit may be implemented, for example, as a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. To. For example, each function of the update planning device 1 is realized by a processing circuit. For example, the functions of the update planning device 1 are collectively realized by a processing circuit.

Regarding the function of the update planning device 1, a part may be realized by the dedicated hardware 19, and the other part may be realized by software or firmware. For example, the function of the update plan creation unit 17 is realized by a processing circuit as dedicated hardware 19, and at least one processor 18a is stored in at least one memory 18b for functions other than the function of the update plan creation unit 17. It may be realized by reading and executing the program.

In this way, the processing circuit realizes each function of the update planning device 1 by hardware 19, software, firmware, or a combination thereof.

As described above, the elevator renewal planning device can be used in a system for creating an appropriate renewal plan including the cost of the elevator.

1 Update planning device, 2 Construction history database, 3 Failure history database, 4 Update menu database, 5 Measurement database, 6 Operation history database, 7 Customer building database, 8 Severity analysis database, 9 Model database, 10 Failure rate calculation unit, 11 Deterioration degree calculation unit, 12 Failure rate correction unit, 13 Risk priority calculation unit, 14 Transport efficiency evaluation unit, 15 Failure loss calculation unit, 16 Opportunity loss calculation unit, 17 Update plan creation unit, 18a processor, 18b memory, 19 hardware

Claims (9)

For updated without outage elevator based on the difference after the updating and before the update, the opportunity to calculate the loss of opportunity customer during operation of the elevator due to that did not update the elevator loss calculation unit When,
A failure loss calculation unit that calculates the customer's economic loss due to the failure stop of the elevator as a failure loss,
While maintaining the failure rate of each part of the elevator below a certain value, the cost of the elevator including the opportunity loss calculated by the opportunity loss calculation unit and the failure loss calculated by the failure loss calculation unit is taken into consideration. The renewal plan creation department that creates the renewal plan
Elevator renewal planning device equipped with. The update plan creation unit includes the opportunity loss calculated by the opportunity loss calculation unit and the failure loss calculated by the failure loss calculation unit while maintaining the failure rate of each part of the elevator below a certain value. The elevator renewal planning device according to claim 1, wherein a renewal plan that minimizes the cost of the elevator is created. When the opportunity loss calculation unit replaces a part by updating before the part breaks down as a customer's opportunity loss due to not updating the elevator based on the difference between before and after updating the elevator. The elevator renewal planning apparatus according to claim 1 or 2, which calculates the recoverable cost in the renewal plan. The opportunity loss calculation unit calculates the opportunity loss of the customer due to not updating the elevator based on the difference in power consumption before and after the update of the elevator, according to any one of claims 1 to 3. Elevator renewal planning device described. Transportation efficiency evaluation unit that calculates the waiting time or total travel time of the user before and after updating the elevator,
With
The one according to any one of claims 1 to 3, wherein the opportunity loss calculation unit calculates an opportunity loss of a customer due to not updating the elevator based on the difference between the waiting time or the total travel time. Elevator renewal planning device. A deterioration degree calculation unit that calculates the deterioration degree of each part of the elevator,
A failure rate correction unit that corrects the failure rate of each component based on the degree of deterioration of each component,
With
The deterioration degree calculation unit holds at least one time-series data of sound, current value, voltage value, image, temperature, and humidity from the start of operation of another elevator in the past to the occurrence of a failure. Select the data closest to at least one of the current value, voltage value, image, temperature, and humidity measured at the present time from the series of data, and record the data from the start of operation of the other elevator. The renewal planning device for an elevator according to any one of claims 1 to 5, which calculates the degree of deterioration based on the period up to the specified time. A risk priority calculation unit that corrects the failure rate of each component based on the severity of quantifying the effect of each component on failure.
The elevator renewal planning device according to any one of claims 1 to 5, further comprising. The elevator renewal planning device according to any one of claims 1 to 7, wherein the renewal plan creation unit creates data on time-series changes in costs in the created renewal plan. Claim 1 that the update plan creation unit creates an update menu applied to the elevator and an application time of the update menu as an update plan based on a cost including an opportunity loss calculated by the opportunity loss calculation unit. The elevator renewal planning device according to any one of claims 8.

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