KR102385986B1 - Method for predicting replacement time of elevator system and computer program peeforming the same - Google Patents

Abstract

Disclosed is an operating method of a server predicting a replacement time of an elevator system. The operating method of the server predicts an overall replacement time and a replacement time of each component of the elevator system from a present point by using at least one between integrated electric use consumed in the elevator system and operation history information of the elevator system. The operation history information of the elevator system includes at least one among an actual operation distance, actual operation time, and the number of opening and closing of a door.

Description

Method for predicting replacement time of elevator system and its computer program

The present invention relates to a technology for predicting the replacement time of an elevator system, and in particular, the total replacement time of the elevator system and the replacement time of each part by using at least one of the accumulated power consumption in the elevator system and the operation history information of the elevator system It relates to a method of predicting, a computer program for performing the method, and a method of providing a service for predicting replacement time of the elevator system.

An elevator, also called a vertical elevator or elevator, is a vertical transportation machine that uses power to move people or cargo in a building, building, large vessel, or other structure.

After more than 10 years have passed since the elevator is installed, as many malfunctions occur in the elevator, the anxiety of users using the elevator increases.

In the case of developed countries, the elevator is rarely replaced within 20 years after the elevator is installed. In fact, many elevators are completely replaced 15 to 17 years after the elevator is installed.

Elevator parts directly related to safety should be replaced before failure or timely for safety. However, as the parts are used until failure due to incorrect maintenance contract practices, this causes a safety accident.

There are many management entities or users who perceive that the elevator malfunctions frequently because the elevator parts are not replaced as if the elevator as a whole is obsolete.

Although the recommended replacement cycle for consumable or abrasive parts of the elevator is specified in the product manual of the elevator, if the management entity is unaware of the recommended replacement cycle, there is a risk of malfunction or safety accident in the elevator while users are using the elevator this exists

Registered Patent Publication: Registration No. 10-1868935 (Announced on June 19, 2018) Laid-Open Patent Publication: Publication No. 10-2018-0130614 (published on December 10, 2018) Laid-Open Patent Publication: Publication No. 10-2016-0148826 (published on December 27, 2016)

The technical problem to be achieved by the present invention has been devised to solve the problems described above (especially, failure or safety accident, etc.), and the accumulated power consumption and operation history information (for example, , a method of automatically or programmatically accurately predicting the replacement time of the entire elevator system and the time of replacing each part using at least one of at least one of the , actual driving distance, actual operating time, and the number of times of opening and closing the door), the method It is to provide a service for estimating a computer program to perform, and the replacement time of the elevator system.

According to embodiments of the present invention, the method of operating a server for predicting the replacement time of an elevator system includes: periodically receiving, by the server, integrated power usage from an integrated power meter for accumulating power consumption in the elevator system; Each time the integrated power usage is periodically received, the server calculates the operating time for each future time point using the integrated power usage and the facility capacity of the elevator system; Predicting the replacement time of the elevator system by using the operating time for each of the time points.

According to embodiments of the present invention, a computer-readable computer program for performing a method of operating a server for predicting replacement time of an elevator system using integrated power usage is stored in a storage medium.

According to embodiments of the present invention, the method of operating a server for predicting the replacement time of the elevator system includes periodically receiving, by the server, operation history information of the elevator system generated as the elevator system operates from the elevator system And, whenever the operation history information is periodically received, the server extracts the actual travel distance from the operation history information, and the server uses the periodically extracted actual travel distance to future time points of the elevator system Calculating the travel distance for each, and the server predicting the replacement time of the elevator system using the reference travel distance and the travel distance for each of the future time points.

According to embodiments of the present invention, a computer-readable computer program for performing a method of operating a server for predicting replacement time of an elevator system using operation history information is stored in a storage medium.

According to embodiments of the present invention, the method of providing a service for predicting replacement time of an elevator system using a replacement time prediction system including an elevator system, a server, and a manager computing device is the elevator system's integrated watt-hour meter accumulating power consumption in a system; receiving, by the server, the integrated power usage periodically from the integrated power meter; whenever the integrated power usage is periodically received, the server performs the integrated power usage and the Calculating the operating time for each of the future time points using the facility capacity of the elevator system, and the server predicts the replacement time of the elevator system using the reference operating time and the operating time for each of the future time points includes steps.

The method according to an embodiment of the present invention, the computer program for performing the method, and the service for predicting the replacement time of the elevator system are consumed in the elevator system regardless of the recommended replacement period of each of the parts included in the elevator system. The total replacement time and parts replacement time of the elevator system are determined using at least one of the accumulated power usage and the operation history information of the elevator system (for example, at least one of the actual travel distance, the actual operation time, and the number of times of opening and closing the door) It has the effect of being able to accurately predict automatically or programmatically.

The method according to an embodiment of the present invention, the computer program for performing the method, and the service for predicting the replacement time of the elevator system can accurately predict the replacement time of the front of the elevator system and the time of replacement of parts automatically or programmatically. , the result of the prediction can be utilized for maintenance to prevent failures or safety accidents occurring in the elevator system, and provide a point in time to ensure the safety of users as well as to appropriately replace each part of the elevator system. Accordingly, there is an effect of improving the lifespan of the elevator system.

In order to more fully understand the drawings recited in the Detailed Description, a detailed description of each drawing is provided.
1 is a block diagram of a replacement time prediction system for predicting replacement time of an elevator system according to an embodiment of the present invention.
FIG. 2 shows an embodiment of tables of driving time, integrated power usage, driving history information, and actual driving distance stored in the database of the replacement timing prediction system of FIG. 1 .
3 is an embodiment of a graph showing a front replacement time of an elevator system according to operation time or operation history information according to an embodiment of the present invention.
4 is an embodiment of a graph showing the replacement time of each part of the elevator system according to the operating time or operating history according to an embodiment of the present invention.
5 is a flowchart of the replacement time prediction system of FIG. 1 for processing the replacement time of the elevator system according to the integrated power usage of the elevator system.
6 is a flowchart of the replacement time prediction system of FIG. 1 for processing the replacement time of the elevator system according to the actual travel distance of the elevator system.
7 is a flowchart of the replacement time prediction system of FIG. 1 for processing the replacement time of the elevator system according to the integrated power usage of the elevator system and the actual operating distance of the elevator system.

1 shows a block diagram of a replacement time prediction system for predicting replacement time of an elevator system according to an embodiment of the present invention, and FIG. 2 is a running time stored in the database of the replacement time prediction system of FIG. 1, integrated power usage, operation An example of history information and tables of actual travel distances are shown, and FIG. 3 is an example of a graph showing a front replacement time of an elevator system according to operating time or operating history information according to an embodiment of the present invention.

1, the replacement time prediction system 100 capable of predicting the replacement time of the elevator system is a server (this is also referred to as a 'replacement time prediction server' 200), a database 210, and a plurality of elevator systems 310A , 310B, and 310C), and an administrator's computing device 400 . Each of the elevator systems 310A, 310B, and 310C may be installed in the same building (or building) or may be installed in different buildings (or buildings).

The replacement time of the elevator system includes both the front replacement time of replacing the entire elevator system and the replacement time of parts replacing each part of the elevator system, and the time refers to a time or date displayed in year, month, and day.

Although, in FIGS. 3 and 4, the running time calculated by date (or by time) using the integrated power usage of the elevator system, or the running distance calculated using the actual running distance of the elevator system are exemplarily shown However, the server 200 or the computer program 206 generates prediction data corresponding to the following embodiments or a prediction graph corresponding to the prediction data, and using the prediction data and/or the prediction graph, the elevator It is possible to predict (or indirectly predict) when to replace the entire system or when to replace each part.

1. Integrated power usage prediction data generated based on the integrated power usage of the elevator system and/or a prediction graph corresponding to the integrated power usage prediction data;

2. Operation time prediction data generated based on the operation time calculated using the integrated power usage of the elevator system and the facility capacity of the elevator system and/or a prediction graph corresponding to the operation time prediction data;

3. Driving distance prediction data generated based on the actual driving distance of the elevator system and/or a prediction graph corresponding to the driving distance prediction data;

4. Driving time prediction data generated based on the driving time calculated in step 2 and the actual driving distance and/or a prediction graph corresponding to the driving time prediction data.

5. Operating time prediction data generated based on the actual operating time of the elevator system and/or a prediction graph corresponding to the operating time prediction data;

6. A prediction graph corresponding to the door opening and closing times prediction data and/or the door opening and closing times prediction data generated based on the actual door opening and closing times of the elevator car included in the elevator system.

Examples of parts of an elevator system that are related to travel time include a governor, guide shoe, bearing, and oil seal, etc., which are related to both travel time and travel distance. Examples of parts of the elevator system include a motor, a traction machine, a rope, and a brake system related to acceleration/deceleration of the elevator, and the number of trips (eg, distance traveled or number of times of opening and closing of an elevator car door) of the parts of the elevator system related to the number of trips. Examples include door locks, relays, and the like.

Each of the elevator systems 310A, 310B, and 310C integrates (or in real time) the power usage used in each of the elevator systems 310A, 310B, and 310C (S110 or S310), and each elevator system 310A, 310B , and 310C), driving history information (RHAi, RHBi, and RHCi, where i is a natural number greater than or equal to 2) is generated according to the actual operation (or actual operation) ( S210 or S320 ). An operating voltage PW is supplied to each elevator system 310A, 310B, and 310C.

The control devices 318A, 318B, and 318C of each of the elevator systems 310A, 310B, and 310C include a traction machine, a control panel, and an inverter that control the operation of each of the elevators 314A, 314B, and 314C.

The purpose of the hoisting machine is a device located at the top of the machine room or hoistway of the elevator and driving the elevator car up and down using a rope, and the power consumption of the hoisting machine is determined according to the moving speed of the elevator car and the number of passengers boarding the elevator car do.

A control panel is an elevator control unit for driving the hoisting machine using an inverter and a control circuit and controlling various signals to operate the elevator normally, and the inverter is installed inside the control panel to control the speed and torque of the elevator It is the controlling part.

The first elevator system 310A identified by the first identification number ID1 includes a first integrated watt-hour meter 312A, a first elevator 314A, a first gateway 316A, and a first control device 318A. do. Each elevator 314A, 314B, and 314C is also referred to as a car or elevator car.

The first integrated watt-hour meter 312A integrates the power consumption used in the first elevator 314A and the first control device 318A in real time (S110 or S310), and the first integrated watt-hour meter 312A first communication device transmits the integrated power usage information (IWAi) to the first gateway 316A every specific time Ti, and the first gateway 316A transmits the integrated power usage information (IWAi) to the server ( 200) (S120). Hereinafter, each integrated power usage information (IWAi, IWBi, and IWCi) is simply referred to as integrated power usage.

The first control device 318A controls the operation of the first elevator 314A (for example, the movement of the first elevator 314A up or down, and the door opening of the first elevator 314A) according to the user's operation. closing, etc.), generating the first driving history information RHAi corresponding to the operation and storing it in the memory device of the first control device 318A (S210 or S320), and every specific time Ti The first driving history information RHAi stored in the memory device is read and transmitted to the first gateway 316A, and the first gateway 316A transmits the first driving history information RHAi to the server 200 through the first communication network. It transmits (S220 or S340).

According to embodiments, a period in which each power usage information (IWAi, IWBi, and IWCi) is transmitted to the server 200 and a period in which each driving history information (RHAi, RHBi, and RHCi) is transmitted to the server 200 are different from each other. can be different.

According to embodiments, in response to a transmission request from the server 200, each of the integrated power meters 312A, 312B, and 312C may transmit each power usage information IWAi, IWBi, and IWCi to the server 200, and the server Each of the control devices 318A, 318B, and 318C may transmit the respective driving history information RHAi, RHBi, and RHCi to the server 200 according to a transmission request from 200 . The transmission request may be a request related to a request signal from the computing device 400 .

The second elevator system 310B identified by the second identification number ID2 includes a second watt-hour meter 312B, a second elevator 314B, a second gateway 316B, and a second control device 318B. do.

The second integrated watt-hour meter 312B integrates the power consumption used in the second elevator 314B and the second control device 318B in real time (S110 or S310), and the second communication device of the second integrated watt-hour meter 312B. transmits the integrated power usage (IWBi) to the gateway 316B at a specific time (Ti), and the gateway 316B transmits the integrated power usage (IWBi) to the server 200 through the second communication network (S120 or S330).

The second control device 318B operates the second elevator 314B according to the user's operation (for example, the movement of the second elevator 314B up or down, and the door opening of the second elevator 314B). closing, etc.), generates second driving history information RHBi corresponding to the operation, and stores it in the memory device of the second control device 318B (S210 or S320), and every specific time Ti The second driving history information RHBi stored in the memory device is read and transmitted to the second gateway 316B, and the second gateway 316B transmits the second driving history information RHBi to the server 200 through the second communication network. It transmits (S220 or S340).

The third elevator system 310C identified by the third identification number ID3 includes a third watt-hour meter 312C, a third elevator 314C, a third gateway 316C, and a third control device 318C. do.

The third integrated watt-hour meter 312C integrates the power usage used in the third elevator 314C and the third control device 318C in real time (S110 or S310), and the third communication device of the third integrated watt-hour meter 312C transmits the integrated power consumption (IWCi) to the third gateway 316C at a specific time (Ti), and the third gateway 316C transmits the integrated power consumption (IWCi) to the server 200 through the third communication network. It transmits (S120 or S330).

The third control device 318C controls the operation of the third elevator 314C (for example, the movement of the third elevator 314C up or down, and the opening of the door of the third elevator 314C) according to the user's operation. closing, etc.), generates and stores third driving history information RHCi corresponding to the operation in the memory device of the third control device 318C (S210 or S320), and every specific time Ti The third driving history information RHCi stored in the memory device is read and transmitted to the third gateway 316C, and the third gateway 316C transmits the third driving history information RHCi to the server 200 through the third communication network. It transmits (S220 or S340).

According to embodiments, each of the integrated watt-hour meters 312A, 312B, and 312C may be a digital integrated watt-hour meter, and the communication device inside each of the integrated watt-hour meters 312A, 312B, and 312C is connected to each integrated power consumption (IWA, IWBi, and IWCi) wirelessly (eg, Wi-Fi or Bluetooth) or by cable to each gateway 316A, 316B, and 316C.

For example, the communication device inside each of the integrated power meters 312A, 312B, and 312C and each gateway 316A, 316B, and 316C may be connected to each other through a RS485 (Recommended Standard 485) cable, and a serial communication protocol ( For example, it can communicate via the MODBUS protocol).

According to embodiments, each of the first communication network, the second communication network, and the third communication network may be a wired communication network using a TCP/IP protocol suite or a wireless communication network using a Wi-Fi communication protocol, but limited thereto it is not going to be

A specific time (Ti) means a period for transmitting each integrated power usage (IWAi, IWBi, and IWCi) and each driving history information (RHAi, RHBi, and RHCi), or a specific date (eg, every month) a specific time on a specific date), but is not limited thereto.

Each operation history information RHAi, RHBi, and RHCi includes at least one of the actual travel distance of each elevator 314A, 314B, and 314C, the actual operation time, and the number of times the door of the elevator car is opened and closed. include

The server (this is also referred to as a 'data processing device'. 200) transmits each integrated power usage (IWAi, IWBi, and IWCi) is received and stored in the second table 210B of the database 210 for each identification number ID1, ID2, and ID3 (S120 or S330). The unit of each integrated power usage (IWAi, IWBi, and IWCi) is kilowatt-hour (kWh).

The server 200 includes a communication device 202 that communicates with at least one of each of the gateways 316A, 316B, and 316C, the database 210 , and the computing device 400 , a computer program that controls the operation of the server 200 . and a processor (204) executing (206).

The computer program 206 for performing a method of predicting the front replacement time and parts replacement time of each of the elevator systems 310A, 310B, and 310C is combined with hardware and stored in a storage medium (eg, a nonvolatile memory device). and executed by the processor 204 . The hardware refers to a hardware device of the server 200 involved in the execution of the computer program 206 .

The server 200 receives each integrated power usage (IWA1, IWA2, IWA3, IWA4, and IWA5) transmitted from the first elevator system 310A at the corresponding time points (T1, T2, T3, T4, and T5) and ( S120 or S330), each accumulated power consumption (IWA1, IWA2, IWA3, IWA4, and IWA5) and each operation time (OA1) of the first elevator system 310A using the first facility capacity of the first elevator system 310A , OA2, OA3, OA4, and OA5) are calculated and stored in the first table 210A of the database 210 (S130 or S350).

For example, when the first facility capacity ICA is expressed in kW, the server 200 may calculate each operation time OAi as in Equation 1 (S130 or S350).

[Equation 1]

For example, when each integrated power usage (IWA1, IWA2, IWA3, IWA4, and IWA5) is a monthly usage, each calculated driving time (OA1, OA2, OA3, OA4, and OA5) may be a monthly driving time . The server 200 may calculate the daily operating time from the calculated monthly operating time OAi.

The first facility capacity ICA means the sum of the rated capacities of all the electric devices installed in the first elevator 314A and the rated capacities of all the electric devices installed in the control device 318A, respectively, and the first Also referred to as plant output, the unit of primary plant capacity (ICA) is kilowatt (kW) or kilovolt-ampere (kVA).

Then, the server 200 receives each integrated power usage (IWB1, IWB2, IWB3, IWB4, and IWB5) transmitted from the second elevator system 310B at the corresponding time points (T1, T2, T3, T4, and T5). and (S120 or S330), each operation time of the second elevator system 310B using each integrated power usage (IWB1, IWB2, IWB3, IWB4, and IWB5) and the second facility capacity of the second elevator system 310B (OB1, OB2, OB3, OB4, and OB5) are calculated and stored in the first table 210A of the database 210 (S130 or S350).

For example, when the second facility capacity (ICB) is expressed in kW, the server 200 may calculate each operating time (OBi) as in Equation 2 (S130 or S350).

[Equation 2]

For example, when each integrated power usage (IWB1, IWB2, IWB3, IWB4, and IWB5) is a monthly usage, each calculated driving time (OB1, OB2, OB3, OB4, and OB5) may be a monthly driving time . The server 200 may calculate the daily operating time from the calculated monthly operating time OBi.

The second facility capacity (ICB) means the sum of the rated capacity of each of all the electric devices installed in the second elevator 314B and the rated capacity of each of all the electric devices installed in the control device 318B, Also referred to as two plant power, the unit of second plant capacity (ICB) is kilowatt (kW) or kilovolt ampere (kVA).

Then, the server 200 receives each integrated power usage (IWC1, IWC2, IWC3, IWC4, and IWC5) transmitted from the third elevator system 310C at the corresponding time points (T1, T2, T3, T4, and T5). and (S120 or S330), each operation time of the third elevator system 310C using each integrated power consumption (IWC1, IWC2, IWC3, IWC4, and IWC5) and the third facility capacity of the third elevator system 310C (OC1, OC2, OC3, OC4, and OC5) are calculated and stored in the first table 210A of the database 210 (S130 or S350).

For example, when the third facility capacity (ICC) is expressed in kW, the server 200 may calculate each operation time (OCi) as in Equation 3 (S130 or S350).

[Equation 3]

For example, when each integrated power usage (IWC1, IWC2, IWC3, IWC4, and IWC5) is a monthly usage, each calculated driving time (OC1, OC2, OC3, OC4, and OC5) may be a monthly driving time . The server 200 may calculate the daily operating time from the calculated monthly operating time OCi.

The third facility capacity (ICC) means the sum of the rated capacity of each electric device installed in the third elevator 314C and the rated capacity of each electric device installed in the control device 318C, Also referred to as three plant output, the unit of third plant capacity (ICC) is kilowatt (kW) or kilovolt ampere (kVA).

The database 210 may refer to a data storage device that stores data 210A, 210B, 210C, and 210D or a set of data 210A, 210B, 210C, and 210D stored in the data storage device.

During the time period defined by the two time points T5 and T6, each integrating watt-hour meter 312A, 312B, and 312C integrates the power usage used by each elevator system 310A, 310B, and 310C (S110 or S310).

At the current time point T6, the server 200 calculates the integrated power usage (IWA6, IWB6, and IWC6) of each elevator system 310A, 310B, and 310C outputted from each integrated power meter 312A, 312B, and 312C. It is received through each gateway 316A, 316B, and 316C (S120 or S330).

The server 200 calculates each driving time (OA6=IWA6/ICA, OB6=IWB6/ICB, and OC6=IWC6/ICC) for the current time point T6 using Equations 1 to 3 (S130) or S350).

In addition, at the current time point T6, the server 200 calculates the driving time for each future time point (eg, each time point after the current time point T6) (S130 or S350). And, when the current time point is T7, the server 200 uses the driving times OA1 to OA6 for the previous time points T1 to T6 from the current time point T7 to each future time point (eg, the present The driving time for each time point after the time point T7) is calculated (S130 or S350).

For example, the server 200 may set the operating time OA1 for the first previous time point T1, the operating time OA2 for the second previous time point T2, and the operating time for the third previous time point T3. At least one of (OA3), the travel time OA4 for the fourth time point T4, and the travel time OA5 for the fifth time point T5, and the travel time OA6 for the current time point T6 ) (eg, using an interpolation function) to calculate the operating time for each future time of the first elevator 314A ( S130 ).

For example, as shown in FIG. 3 , when the travel time calculated for each date is displayed in two-dimensional coordinates, the server 200 coordinates a plurality of coordinates ((T1, OA1), (T2, OA2), ( At least one of T3, OA3), (T4, OA4), and (T5, OA5)) and the coordinates T6 and OA6 may be used to generate the first prediction graph GRPA. The operation time for each future time of the first elevator 314A may be mapped one-to-one in the first prediction graph GRPA.

The server 200 may generate the first prediction graph GRPA according to the following embodiments. These embodiments are merely examples for description.

1. The server 200 may generate the first prediction graph GRPA using the coordinates T5 and OA5 and the coordinates T6 and OA6.

2. The server 200 uses the prediction graph calculated by the coordinates (T4, OA4) and the coordinates (T5, OA5), and the prediction graph calculated by the coordinates (T5, OA5) and the coordinates (T6, OA6). A first prediction graph GRPA may be generated.

For example, the server 200 performs linear interpolation with respect to the calculated average values or coordinates of the slopes of the two prediction graphs ((T4, OA4), (T5, OA5), and (T6, OA6)). etc. may be applied to generate the first prediction graph GRPA.

3. The server 200 is a prediction graph calculated by the coordinates (T3, OA3) and the coordinates (T4, OA4), the prediction graph calculated by the coordinates (T4, OA4) and the coordinates (T5, OA5), and the coordinates ( The first prediction graph GRPA may be generated using the prediction graph calculated by the coordinates T5 and OA5 and the coordinates T6 and OA6.

For example, the server 200 calculates the average value or coordinates of the slopes of the three prediction graphs ((T3, OA3), (T4, OA4), (T5, OA5), and (T6, OA6)) A first prediction graph GRPA may be generated by applying a linear interpolation method or the like.

4. The server 200 is a prediction graph calculated by the coordinates (T2, OA2) and the coordinates (T3, OA3), the prediction graph calculated by the coordinates (T3, OA3) and the coordinates (T4, OA4), the coordinates (T4) , OA4) and the prediction graph calculated by the coordinates (T5, OA5), and the prediction graph calculated by the coordinates (T5, OA5) and the coordinates (T6, OA6) to generate the first prediction graph (GRPA). can

For example, the server 200 calculates the average value or the coordinates of the slopes of the four prediction graphs ((T2, OA2), (T3, OA3), (T4, OA4), (T5, OA5), and ( T6, OA6)), the first prediction graph GRPA may be generated by applying a linear interpolation method or the like.

For example, the server 200 may determine the operating time OB1 for the first previous time point T1, the operating time OB2 for the second previous time point T2, and the operating time for the third previous time point T3. At least one of (OB3), the travel time OB4 for the fourth time point T4, and the travel time OB5 for the fifth time point T5, and the travel time OB6 for the current time point T6 ) to calculate the operating time for each future time of the second elevator 314B (S130 or S350).

For example, as shown in FIGS. 2 and 3 , when the travel time calculated for each date is displayed as two-dimensional coordinates, the server 200 coordinates a plurality of coordinates ((T1, OB1), (T2, OB2). ), (T3, OB3), (T4, OB4), and (T5, OB5)), and the coordinates T6 and OB6 may be used to generate the second prediction graph GRPB. The operation time for each future time of the second elevator 314B may be mapped one-to-one on the second prediction graph GRPB.

For example, the server 200 operates the operating time OC1 for the first previous time point T1, the operating time OC2 for the second previous time point T2, and the operating time for the third previous time point T3. At least one of (OC3), a driving time (OC4) for the fourth time point (T4), and a driving time (OC5) for the fifth time point (T5), and a driving time (OC6) for the current time point (T6) ) to calculate the operating time for each future time of the third elevator 314C (S130 or S350).

For example, as shown in FIGS. 2 and 3, when the travel time calculated for each date is displayed in two-dimensional coordinates, the server 200 coordinates the coordinates ((T1, OC1), (T2, OC2), The third prediction graph GRPC may be generated using at least one of (T3, OC3), (T4, OC4), and (T5, OC5)) and the coordinates (T6, OC6). The operating time for each future time of the third elevator 314C may be mapped one-to-one on the third prediction graph GRPC.

Assume that each elevator 314A, 314B, and 314C is an elevator having the same standard and specification, and the reference operating time REF is set (or input) to the server 200 by the administrator of the server 200 assume that

In some embodiments, the reference operating time REF may be a running time defined by the manufacturers of each elevator system 310A, 310B, and 310C.

In some embodiments, the reference travel time REF may be a travel time calculated by the computer program 206 of the server 200 . For example, the computer program 206 using an artificial intelligence algorithm (eg, a deep learning algorithm or a neural network algorithm) may perform a previous time point (T1 to T5, or T1 to T6) with respect to the current time point (T6 or T7). Learn the calculated operating hours (OA1 to OA5 or OA1 to OA6) and the recommended replacement cycle (e.g., RP2) of the specifications (or manuals) of each elevator system (310A, 310B, and 310C) Accordingly, the reference travel time REF may be predicted or determined.

The server 200 or the computer program 206 compares the operation time for each future time point of the first elevator 314A calculated by the server 200 and the reference operation time REF, and the calculated operation time and A time point (ET1, for example, year, month, day) or date ET1 at which the reference operating time REF coincides is predicted as a full replacement time for the first elevator 314A ( S140 ).

As shown in FIG. 3 , the server 200 or the computer program 206 provides a time point ET1 or a date ET1 where a straight line corresponding to the first prediction graph GRPA and the reference travel time REF meets 1 It is predicted as the replacement time of the entire elevator (314A) (S140).

Subsequently, the server 200 or the computer program 206 compares the operation time for each future time point of the second elevator 314B calculated by the server 200 and the reference operation time REF, and the predicted operation A time point (ET2, for example, year/month/day) or a date (ET2) at which the time and the reference operation time REF coincide are predicted as the full replacement time for the second elevator 314B (S140).

As shown in FIG. 3 , the server 200 or the computer program 206 provides a time point ET2 or a date ET2 at which a straight line corresponding to the second prediction graph GRPB and the reference driving time REF meets 2 It is predicted as the replacement time of the entire elevator for the elevator 314B (S140).

Subsequently, the server 200 or the computer program 206 compares the operation time for each future time point of the third elevator 314C calculated by the server 200 and the reference operation time REF, and the operation time and A time point (ET3, for example, year, month, day) or date ET3 at which the reference operating time REF coincides is predicted as a full replacement time for the third elevator 314C (S140).

As shown in FIG. 3 , the server 200 or the computer program 206 provides a time point ET3 or a date ET3 at which a straight line corresponding to the third prediction graph GRPC and the reference driving time REF meets 3 It is predicted as the replacement time of the entire elevator (314C) (S140).

For example, the front replacement cycle (recommended replacement cycle or recommended life cycle) of each elevator 314A, 314B, and 314C is 20 years, and each elevator 314A, 314B, and 314C is first It is assumed that it has been installed or has been completely replaced.

When the calculated (or predicted) running time for each elevator 314A, 314B, and 314C is not taken into account, each elevator 314A, 314B, and 314C must be replaced uniformly in the front replacement period RP2 .

However, when the operating time calculated for each elevator 314A, 314B, and 314C according to the present invention is considered, the server 200 sets the front replacement time of the first elevator 314A to the first future time point ET1. , and predicts the replacement time of the second elevator 314B as the second future time ET2, and predicts the replacement time of the third elevator 314C as the third future time ET3. That is, the front replacement time points ET1, ET2, and ET3 of each of the elevators 314A, 314B, and 314C are different from each other.

As exemplarily shown in FIG. 3 , the third future time point ET3 is earlier than the front replacement period RP2 , and each future time point ET1 and ET2 is later than the front replacement period RP2 .

According to the operating time calculated for each elevator 314A, 314B, and 314C, or the operating state of each elevator 314A, 314B, and 314C, each elevator 314A, 314B, and 314C is replaced with a front replacement period ( Rather than uniformly replacing in RP2), the front replacement time ET1, ET2, and ET3 of each elevator 314A, 314B, and 314C are adapted in consideration of the actual operation situation of each elevator 314A, 314B, and 314C. It has a predictable effect.

Accordingly, there is an effect that the maintenance cost for each of the elevators 314A, 314B, and 314C is reduced and the lifespan and/or safety of each of the elevators 314A, 314B, and 314C is increased.

As described above, the server 200 or the computer program 206 may process the predicted replacement time for each elevator 314A, 314B, and 314C at the current time T6 (S150).

According to embodiments, the server 200 or the computer program 206 stores the predicted front replacement times ET1, ET2, and ET3 for each elevator 314A, 314B, and 314C in the first table 210A of the database 210. ) can be stored in (S150).

According to embodiments, when the manager of each elevator 314A, 314B, and 314C transmits an information transmission request to the server 200 using the computing device 400, the server 200 or the computer program 206 may In response to the request for information transmission, the database 210 is searched for prediction data for each future time point for each elevator 314A, 314B, and 314C (eg, running time) or each prediction graph shown in FIG. 3 ( GRPA, GRPB, and GRPC) may be transmitted to the computing device 400 (S150).

According to embodiments, the server 200 or the computer program 206 transmits the front replacement time points ET1, ET2, and ET3 to the computing device 400 before a predetermined period from the front replacement time points ET1, ET2, and ET3. (or push).

Since the manager or management entity of each of the elevators 314A, 314B, and 314C can know the replacement time points ET1, ET2, and ET3 of the elevators 314A, 314B, and 314C, each elevator 314A, 314B, and 314C in consideration of life cycle cost (LCC). ) can decide whether to replace the entire

The computing device 400 transmits an information transmission request to the server 200 or each prediction graph (GRPA, GRPB, and GRPC) shown in FIG. 3 can be displayed on the display device 420 of the computing device 400 . An application 410 may be executed. When the application 410 is a web application, the server 200 may perform a function of a web application server.

4 is an embodiment of a graph showing the replacement time of each part of the elevator system according to the operating time or operating history according to an embodiment of the present invention.

The server 200 periodically receives the integrated power usage (IWAi, i is 1 to 7) from the integrated power meter 312A that integrates the power usage consumed in the first elevator system 310A (S120).

Whenever the integrated power usage (IWAi) is periodically received, the server 200 uses the integrated power usage (IWAi) and the first facility capacity (ICA) of the first elevator system 310A for each future time point. Calculate the running time (S130).

The server 200 uses the operating time for each of the reference operating times REF1, REF2, REF3, and REF and future time points (eg, points after the current time T6) to the first elevator system The timing of replacing the parts of (310A) is predicted (S140).

Referring to FIG. 4 , a first reference operation time REF1 means a reference operation time for a first part, a second reference operation time REF2 means a reference operation time for a second part, and the third The reference operating time REF3 refers to a reference operating time for the third component, and the reference operating time REF refers to a reference operating time for front replacement of the first elevator system 310A.

The first part was replaced at the first part replacement time TP1, TP1a denotes a replacement cycle of the first part, the second part was replaced at the second part replacement time TP2, and TP2a is the second part It means a replacement cycle of the part, the third part is replaced at the third part replacement time TP3, and TP3a means the replacement cycle of the third part.

The server 200 predicts the replacement time point TP1b between the straight line corresponding to the first reference driving time REF1 and the first prediction graph GRPA as the first part replacement time. Based on the current time point T6, the first part replacement prediction time TP1b is earlier than the first part replacement cycle TP1a.

The server 200 predicts the replacement time point TP2b of the straight line corresponding to the second reference driving time REF2 and the first prediction graph GRPA as the second part replacement time. Based on the current time point T6, the second component replacement prediction time TP2b is later than the first component replacement cycle TP2a.

The server 200 predicts the time point TP3b at which the straight line corresponding to the third reference driving time REF3 and the first prediction graph GRPA are replaced as the third part replacement time. Based on the current time point T6, the third component replacement prediction time TP3b is earlier than the third component replacement cycle TP3a.

That is, the server 200 utilizes the integrated power usage (IWA1 ~ IWA6) for each time point (T1 ~ T6) to the front replacement time (ET1) of the first elevator system (310A) and / or the first elevator system (310A) ) has the effect of predicting the replacement times (TP1b, TP2b, and TP3b) for each part included in the .

According to an embodiment, the computer program 206 of the server 200 uses an artificial intelligence algorithm to the front replacement time ET1 of the first elevator system 310A and/or each part of the first elevator system 310A. The replacement times TP1b, TP2b, and TP3b may be predicted.

Since the manager or management entity of each of the elevators 314A, 314B, and 314C can know the replacement times TP1b, TP2b, and TP3b for each part, considering the life cycle cost (LCC) of each of the elevators 314A, 314B , and 314C) may determine whether to replace each part.

6 is a flowchart of the replacement time prediction system of FIG. 1 for processing the replacement time of the elevator system according to the actual travel distance of the elevator system.

1 to 4 and 6 , the first control device 318A generates the first operation history information RHAi according to the operation or operation of the first elevator system 310A to generate the first control device ( 318A) in the memory device (S210). It is assumed that the first driving history information RHAi includes an actual driving distance. The unit of the actual travel distance in which the distance actually moved by the first elevator 314A is accumulated may be displayed in meters.

The server 200 periodically receives the first operation history information RHAi of the first elevator system 310A generated as the first elevator system 310A operates (or operates) from the first elevator system 310A. to receive (S220).

Whenever the first driving history information RHAi is periodically received, the server 200 extracts the actual driving distance VLi from the first driving history information RHAi, and the extracted actual driving distances VL1 to VL6 Calculates the travel distance for each future time points (eg, time points after the current time point T6) of the first elevator system 310A by using ( S230 ).

The server 200 determines the replacement time of the first elevator system 310A at the current time point T6 using the reference travel distances REF1, REF2, REF3, and REF and the travel distances calculated for each future time point. Prediction (S240).

The server 200 generates a first prediction graph GRPA for the driving distances for each of the future time points from the current time point T6 using the actual travel distances VL1 to VL6, and from among the future time points, each Each part included in the first elevator system 310 is each future time point TP1b, TP2b, and TP3b at which the straight line corresponding to the reference travel distances REF1, REF2, and REF3 intersects the first prediction graph GRPA. It is predicted as the replacement time of (S240).

In addition, as shown in FIGS. 3 and 4 , the server 200 generates a first prediction graph GRPA for the driving distance for each of the future time points at the current time point T6, and among the future time points, A first future time point ET1 at which the straight line corresponding to the reference travel distance REF and the first prediction graph GRPA intersect is predicted as the front replacement time of the first elevator system 310 ( S240 ).

The process of generating the first prediction graph GRPA for the driving distance for each future time point using the actual driving distances VL1 to VL6 is the first prediction graph GRPA using the calculated driving times OA1 to OA6. ) is the same as the process of generating it, so a description thereof will be omitted.

Step 250 of FIG. 6 is the same as step S150 of FIG. 5 .

The method of predicting the front replacement time and parts replacement time of the elevator systems 310B and 310B using the actual travel distances is the front replacement time and parts replacement of the first elevator system 310A using the actual travel distances VL1 to VL6. Since it is the same as the method of predicting a time point, a description thereof will be omitted.

7 is a flowchart of the replacement time prediction system of FIG. 1 for processing the replacement time of the elevator system according to the integrated power usage of the elevator system and the actual operating distance of the elevator system.

1 to 7 , the first integrated watt-hour meter 312A integrates the power consumption in the first elevator system 310A in real time ( S310 ), and the first control device 318A is the first elevator system The driving history information RHAi of (310A) is generated (S320).

The server 200 periodically receives the integrated power usage IWA1 to IWA6 from the integrated power meter 312A that integrates the power consumption in the first elevator system 310A (S330).

The server 200 periodically receives the driving history information RHA1 to RHA6 (S340).

Whenever the integrated power usage (IWA1 ~ IWA6) is periodically received, as described with reference to Equation 1, the server 200 performs the integrated power usage (IWA1 ~ IWA6) and the first facility of the first elevator system 310A. Using the capacity ICA, the operating times OA1 to OA6 for each future time point are calculated (S350).

Whenever the first driving history information RHA1 to RHA6 is periodically received, the server 200 extracts the actual driving distances VL1 to VL6 from the first driving history information RHA1 to RHA6, and the extracted actual driving Using the distances VL1 to VL6, the driving distance for each future time point of the first elevator system 310A is calculated (or predicted) (S360).

The server 200 uses the operating time (OA1 to OA6) for each of the future time points and the driving distance for each of the future points at the front replacement time (ET1) and the parts replacement time (ET1) of the first elevator system 310A ( TP1a, TP2b, and TP3b) are predicted (S370).

According to embodiments, the server 200 calculates the driving time for each of the future time points (S350), and then corrects the driving time for each of the future time points by using the driving distance for each of the future time points, and , it is possible to predict the front replacement time ET1 and the parts replacement time TP1a, TP2b, and TP3b of the first elevator system 310A by using the operating time for each of the corrected future time points (S370).

Step 380 of FIG. 7 is the same as step S150 of FIG. 5 .

The method of predicting the front replacement time and parts replacement time of each elevator system (310B and 310B) using the operating time and operating distance is the front replacement time and parts replacement time of the first elevator system 310A using the operating time and operating distance. Since it is substantially the same as the method of predicting , a description thereof will be omitted.

Further, when the actual running time of each elevator system 310A, 310B, and 310C is cumulatively recorded in each of the control devices 318A, 318B, and 318C, the server 200 controls each of the control devices 318A, 318B, and 318C. and 318C) receive each driving history information RHA1 to RHA6, RHB1 to RHB6, and RHC1 to RHC6 including each accumulated actual driving time provided for each time point T1 to T6, and each driving history information RHA1 From ~RHA6, RHB1 to RHB6, and RHC1 to RHC6) for each elevator system (310A, 310B, and 310C), the actual running time is extracted for each time point (T1 to T6), and extracted for each time point (T1 to T6) It is possible to calculate (or predict) the driving time for each future point in time by using the actual driving time (eg, using linear interpolation, etc.).

The server 200 compares the operation time for each future time point calculated for each elevator system 310A, 310B, and 310C, and the recommended operation time, and according to the result of the comparison, each elevator system 310A, 310B, and 310C ) predicts the replacement time (eg, the front replacement time and/or the replacement time of each part), stores the predicted replacement time in the database 210, and when a request for information transmission is received from the computer device 400, the database By searching 210 , the replacement time of each elevator system 310A, 310B, and 310C may be provided to the computer device 400 .

For example, the server 200 finds a running time that matches the recommended running time among the running times for future time points calculated for each elevator system 310A, 310B, and 310C, and corresponds to the found running time. A future time point is predicted as the replacement time point of each elevator system 310A, 310B, and 310C.

The server 200 may generate a graph similar to the prediction graph for each future point described with reference to FIGS. 3 and 4, and each elevator system 310A using the intersection of the similar graph and a straight line corresponding to the recommended operating time , 310B, and 310C) may be predicted.

For example, the recommended travel time is N (eg, N is 120) trips per hour, M (eg, M is 10) hours per day, and P (eg, P is 360) days per year. As the operation time calculated based on the operation, the recommended operation time may be stored in the database 210 for each elevator system 310A, 310B, and 310C.

The travel time found by the server 200 may be shorter or longer than the recommended travel time. Accordingly, the management entity does not need to uniformly replace all of the elevator systems 310A, 310B, and 310C on the date when the recommended operating time is reached.

As described above, the server 200 or the computer program 206 may predict the operating time of each future point in time by using the accumulated power usage of each elevator system 310A, 310B, and 310C, and each elevator system 310A , 310B, and 310C) may be used to predict the operating time of each future time point.

According to embodiments, the server 200 or the computer program 206 includes the first operation history information RHAi including the actual operation time of the first elevator system 310A generated as the first elevator system 310A operates. ) is periodically received from the first elevator system 310A, and whenever the first operation history information RHAi is periodically received, the actual operation time is extracted from the first operation history information RHAi, and the periodically extracted Calculate the operating time for each of the future time points of the first elevator system 310A using the actual operating time, and use the reference operating time and the operating time for each of the future time points of the first elevator system 310A. The replacement time can be predicted.

According to embodiments, the server 200 or the computer program 206 is a first operation history including the number of times of opening and closing the door of the elevator car of the first elevator system 310A generated as the first elevator system 310A operates The information RHAi is periodically received from the first elevator system 310A, and whenever the first operation history information RHAi is periodically received, the number of times of door opening and closing is extracted from the first operation history information RHAi, and periodically Calculate the operating time (or driving distance) for each of the future time points of the first elevator system 310A using the number of door openings and closings extracted as The replacement time of the first elevator system 310A may be predicted by using the driving time (or driving distance) for the first elevator system 310A.

The method of calculating the driving time or driving distance for each of the future time points using the actual operating time for each previous time point or the number of door openings and closing times for each previous time point is, Since the method of calculating the driving time or driving distance for each of the future time points using the actual driving distance is substantially the same, a detailed description thereof will be omitted.

In this specification, although the elevator system has been described as an example, the technical idea of the present invention can be applied to the escalator system as it is. In this case, it is assumed that each of the elevators 314A, 314B, and 314C shown in Fig. 1 is each escalator, and the word elevator described in this specification is replaced with the word escalator.

For example, the server 200 periodically receives the integrated power usage (IWAi) from the integrated power meter 312A that integrates the power consumption in the escalator system 310A (S120), and the integrated power usage (IWAi) is Each time it is periodically received, the operation time for each future time point is calculated using the integrated power usage (IWAi) and the facility capacity of the escalator system 310A (S130), and the reference operation time (REF, REF1, REF2, or The replacement time of the escalator system 310A is predicted using REF3) and the operating time for each of the future time points.

The replacement time of the escalator system 310A includes a front replacement time of replacing the entire escalator system 310A and a replacement time of each component replacing each component of the escalator system 310A.

In addition, the server 200 periodically receives the driving history information RHAi including the actual driving distance of the escalator 314A generated by the control device 318A as the escalator system 310A operates from the escalator system 310A. receiving, extracting the actual driving distance from the driving history information RHAi whenever the driving history information RHAi is periodically received, and using the periodically extracted actual driving distance to each of the future time points of the escalator 314A Calculates the travel distance for , and predicts the replacement time of the escalator system 310A using the reference travel distance REF, REF1, REF2, or REF3 and the travel distance for each of the future time points.

The operation method of the server for predicting the replacement time of the elevator system (or the escalator system) is the accumulated power usage for each previous time consumed in the elevator system (or the escalator system) and the elevator system (or the escalator system) Operation of the elevator system The front replacement time of the elevator system (or the escalator system) and the replacement time of each part are predicted at the current time by using at least one of the history information.

The operation history information of the elevator system includes at least one of an actual operation distance, an actual operation time, and the number of times of opening and closing the door. The operation history information of the escalator system includes at least one of an actual operation distance and an actual operation time.

Although the present invention has been described with reference to the embodiment shown in the drawings, which is merely exemplary, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: replacement time prediction system
200: server
202: communication device
204: processor
206: computer program
210: database
310A, 310B, 310C: Elevator Systems
312A, 312B, 312C: Accumulated power meter
314A, 314B, 314C: Elevator
316A, 316B, 316C: Gateway
318A, 318B, 318C: Control Unit
400: administrator computing device
410: application
420: display device

Claims (14)

Step, by the server, periodically receiving the integrated power usage from the integrated power meter for accumulating the power consumption in the elevator system:
calculating, by the server, the operating time for each future time point using the integrated power usage and the facility capacity of the elevator system whenever the integrated power usage is periodically received; and
The server operating method comprising the step of predicting the replacement time of the elevator system by using the reference operating time and the operating time for each of the future time points. The method of claim 1, wherein the receiving of the integrated power usage comprises:
receiving, by the gateway installed in the elevator system, the integrated power usage periodically from the communication device of the integrated power meter; and
and receiving, by the server, the integrated power usage periodically through the gateway connected to a wired communication network using a TCP/IP protocol suite. The method of claim 1,
The server of the elevator system periodically receiving operation history information of the elevator system from a control device; and
Each time the operation history information of the elevator system is periodically received, the server further comprising the step of calculating the travel distance for each of the future time points by using the operation history information,
The step of predicting the replacement time of the elevator system,
How the server predicts the replacement time of the elevator system by using the reference operating time, the operating time for each of the future time points, and the driving distance for each of the future time points. delete According to claim 1, The step of predicting the replacement time of the elevator system,
generating, by the server, a prediction graph for travel times for each of the future time points; and
The server operating method comprising the step of predicting a future time point at which a straight line corresponding to the reference operation time and the prediction graph intersect the future time point among the future time points as the replacement time of the elevator system. According to claim 1,
Storing, by the server, the operating time for each of the future time points and the replacement time of the elevator system in a database; and
The server searches the database in response to the information transmission request transmitted from the manager computing device, and computes information including the operating time and replacement time of the elevator system for each of the future time points corresponding to the search result. The method of operating a server further comprising the step of transmitting from the device. In the computer program stored in the storage medium combined with the hardware to predict the replacement time of the elevator system,
The computer program stored in the storage medium,
periodically receiving integrated power usage from an integrated power meter that integrates power consumption in the elevator system;
calculating operation time for each future time point using the integrated power usage and the facility capacity of the elevator system whenever the integrated power usage is periodically received; and
A computer program stored in a storage medium for performing the step of estimating the replacement time of the elevator system by using the reference operating time and the operating time for each of the future time points. According to claim 7, The step of predicting the replacement time of the elevator system,
generating, by the computer program stored in the storage medium, a prediction graph for travel times for each of the future time points; and
A computer program stored in a storage medium comprising the step of predicting, by the computer program stored in the storage medium, a future time point at which a straight line corresponding to the reference operating time and the prediction graph intersect from among the future time points as the replacement time of the elevator system . 8. The method of claim 7,
Storing the operating time for each of the future time points and the replacement time of the elevator system in a database; and
In response to the information transmission request transmitted from the manager computing device, the database is searched, and information including the operating time and replacement time of the elevator system for each of the future time points corresponding to the search result is transmitted from the manager computing device A computer program stored on a storage medium that further performs the steps of: delete delete delete In the method of providing a service for predicting the replacement time of the elevator system by using the replacement time prediction system comprising an elevator system, a server, and an administrator computing device,
accumulating the amount of electricity consumed in the elevator system by the integrated watt-hour meter of the elevator system;
receiving, by the server, the integrated power usage periodically from the integrated power meter:
calculating, by the server, the operating time for each future time point using the integrated power usage and the facility capacity of the elevator system whenever the integrated power usage is periodically received; and
Method of providing a service for predicting the replacement time of the elevator system, comprising the step of the server predicting the replacement time of the elevator system using the reference operating time and the operating time for each of the future time points. delete

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