Elevator analysis device, elevator analysis method, and elevator analysis program

Abstract

To make it possible to output past measurement data of a plurality of elevators as data that can be used as reference when maintaining or designing elevators. [Solution] The elevator analysis device (1) comprises a data acquisition unit (11) that acquires the history of malfunction events that occurred during the operation of elevators (2) installed at multiple locations, a data analysis unit (12) that acquires, for each malfunction event, the operating period from the start date of operation of the corresponding elevator (2) until the occurrence of the malfunction event, and a data output unit (13) that outputs the relationship between the operating period and the number of malfunction events that occurred.

Description

[Technical Field]

[0001] The present invention relates to an elevator analysis device, an elevator analysis method, and an elevator analysis program. [Background technology]

[0002] For example, Patent Document 1 describes an elevator vibration monitoring device that is installed in an elevator car and monitors the vibration of the car. This elevator vibration monitoring device determines that the ride comfort has deteriorated when the increase in the vibration acceleration of the car is equal to or greater than a predetermined value. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-112862 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in Patent Document 1 determines the operational deterioration state of an elevator based on the aging of the acceleration data of that elevator. However, it does not take into consideration the technical idea of ​​using the elevator's past measurement data as a reference when performing maintenance on or designing other elevators.

[0005] An object of one aspect of the present invention is to provide an elevator analysis device that can output past measurement data of multiple elevators as data that can be used as reference when maintaining or designing elevators. [Means for solving the problem]

[0006] In order to solve the above problems, an elevator analysis device according to one embodiment of the present invention includes a data acquisition unit that acquires a history of malfunction events that occur during the operation of elevators installed at multiple locations, a data analysis unit that acquires, for each of the malfunction events acquired by the data acquisition unit, the operating period from the start date of operation of the corresponding elevator until the occurrence of the malfunction event, and a data output unit that outputs the relationship between the operating period and the number of occurrences of the malfunction event.

[0007] Furthermore, an elevator analysis method according to one aspect of the present invention includes a data acquisition step of acquiring a history of malfunction events that have occurred during the operation of elevators installed at multiple locations; a data analysis step of acquiring, for each of the malfunction events acquired by the data acquisition step, the operating period from the start date of operation of the corresponding elevator until the occurrence of the malfunction event; and a data output step of outputting the relationship between the operating period and the number of occurrences of the malfunction event. [Effects of the Invention]

[0008] According to one aspect of the present invention, past measurement data of multiple elevators can be output as data that can be used as reference when maintaining or designing elevators. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a block diagram showing a configuration of an elevator system including an elevator analysis device according to an embodiment of the present invention. [Figure 2] 1 is a diagram showing the overall configuration of an elevator according to an embodiment; [Figure 3] 3 is a flowchart showing an example of the flow of an elevator analysis method performed by the elevator analysis device according to the embodiment. [Figure 4] 4 is a flowchart showing an example of the flow of the analysis process in S2 of FIG. 3. [Figure 5] 10 is a graph showing the vibration of an elevator when the PP value exceeds the vibration standard value. [Figure 6] 10 is a graph showing changes in vibration value measurement data when the PP value of the vibration of the elevator according to the embodiment exceeds the reference vibration value. [Figure 7] 7 is a graph showing changes in vibration value measurement data at the start of elevator operation in FIG. 6. [Figure 8] 7 is a graph showing the proportion of each vibration frequency band at the time when the vibration value is the largest in the vibration value measurement data when the vibration value of the elevator in FIG. 6 exceeds the vibration reference value. [Figure 9] 7 is a graph showing the proportion of each vibration frequency band at the same time point when the vibration value is greatest in the vibration value measurement data at the start of elevator operation in FIG. 6. [Figure 10] FIG. 10 is a diagram showing the number of days and causes of vibration for each vibration level of each elevator according to the embodiment. [Figure 11] 10 is a histogram showing the relationship between the operation period of an elevator according to an embodiment and the number of occurrences of each vibration cause when a vibration value exceeds a vibration reference value. [Figure 12] 10 is a pie chart showing the proportion of each vibration cause of an elevator according to an embodiment. [Figure 13] 10 is a graph showing the relationship between the number of occurrences of vibration due to a vibration-causing cause specified by a user and the operation period in an elevator according to an embodiment. [Figure 14] 10 is a graph showing the relationship between the number of vibration occurrences narrowed down by a specification item specified by a user and the operation period in an elevator according to an embodiment. [Figure 15] 10 is a graph showing the relationship between the number of vibration occurrences and the operating period narrowed down by the specification items associated with the elevator identification number specified by the user in the elevator according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] An elevator system 100 including an elevator analysis device 1 according to one embodiment of the present invention will be described below with reference to FIGS.

[0011] [Elevator System] First, the configuration of the elevator system 100 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of the elevator system 100. As shown in Fig. 1, the elevator system 100 includes an elevator analysis device 1, a plurality of elevators 2, a database server 3, and an external terminal 4.

[0012] In the elevator system 100, the history of malfunctions that have occurred during operation of multiple elevators 2 installed in multiple buildings is stored in a database server 3. Then, the elevator analysis device 1 analyzes the stored historical information on malfunctions and displays the analysis results on an external terminal 4. This enables the maintenance personnel of the elevators 2 to understand the locations of the elevators 2 that require maintenance.

[0013] Note that the history of malfunction events in multiple elevators 2 in one building may be stored in the database server 3. Furthermore, a malfunction event that occurs during operation of the elevator 2 may be, for example, an abnormality contained in vibration data in the car 21 (see FIG. 2 ) of the elevator 2. In this example, the elevator control device 20 that controls the operation of the elevator 2 may control the operation of the car 21 to acquire vibration data in the car 21 of the elevator 2 during a time when there are no users, such as at night, and transmit the measured vibration data to the database server 3.

[0014] In this embodiment, a malfunction event is exemplified by a case where vibration data measured by the vibration sensors 23 exceeds a predetermined reference value (reference vibration value) when multiple elevators 2 are in operation. The elevator analysis device 1 analyzes the vibration data of each of the multiple elevators 2. The vibration data is an example of measurement data measured when the elevators 2 are in operation.

[0015] [Elevator analysis device] Next, the elevator analysis device 1 will be described with reference to Fig. 1. As shown in Fig. 1, the elevator analysis device 1 has a data acquisition unit 11, a data analysis unit 12, a data output unit 13, an input reception unit 14, and a storage unit 15.

[0016] The data acquiring unit 11 acquires the history of vibration data during operation of elevators 2 installed at multiple locations from the database server 3. The data acquiring unit 11 may also acquire the history of vibration data via a recording medium such as a USB (Universal Serial Bus) memory.

[0017] For each piece of vibration data history acquired by the data acquisition unit 11, the data analysis unit 12 acquires the operation period from the start date of operation of the corresponding elevator 2 until the vibration exceeds a predetermined standard value (vibration standard value) (see FIG. 5).

[0018] Furthermore, the data analysis unit 12 identifies the cause of vibration by analyzing the frequency of vibration and the like for each of the vibration data histories for the multiple elevators 2. Causes of vibration in the elevator 2 include, but are not limited to, the roller guide of the car, the motor drive of the hoisting machine, the car sheave, the main sheave, and an encoder that detects the amount of movement of the car.

[0019] The data output unit 13 outputs data showing a histogram based on the results of the analysis by the data analysis unit 12 (see FIG. 11). The histogram has the operation period of the elevator 2 on the horizontal axis and the number of occurrences of vibration on the vertical axis. Note that the data output unit 13 is not limited to a histogram, and may output a table showing the relationship between the operation period of the elevator 2 and the number of occurrences of vibration.

[0020] The input receiving unit 14 receives input from a user such as a maintenance worker of the elevator 2 via the operation unit 42 of the external terminal 4. The input receiving unit 14 receives input contents such as the vibration level, the cause of the vibration, the specification items of the elevator 2, and the identification number of the elevator 2, for example.

[0021] The storage unit 15 has a ROM (Read Only Memory) and a RAM (Random Access Memory), and stores various programs executed by the elevator analysis device 1 and data used by the programs. The data analysis unit 12 executes predetermined processing based on the programs in the storage unit 15.

[0022] [Elevator configuration] Next, the overall configuration of the elevator 2 will be described with reference to Fig. 2. Fig. 2 is a diagram showing the overall configuration of the elevator 2. As shown in Fig. 2, the elevator 2 has an elevator control device 20, a car 21, a car door 22, a vibration sensor 23, a hoistway 24, a machine room 25, and a hoisting machine 26.

[0023] The elevator 2 is, for example, a rope-type traction-driven elevator, and is installed in buildings such as public facilities, corporate facilities, retail facilities, and residential facilities. Hereinafter, the up-down direction and the front-back direction of the elevator 2 are defined as shown by the arrows in Figure 2. Furthermore, the front side of the page in Figure 2 is defined as the right side of the elevator 2, and the back side of the page in Figure 2 is defined as the left side of the elevator 2.

[0024] In a building where the elevator 2 is installed, a landing P is provided for each floor. The car 21 moves up and down through an elevator shaft 24 toward the landing P of the destination floor. The car door 22 is of a type that opens to the left and right, and the opening and closing operation is controlled by an elevator control device 20.

[0025] The vibration sensor 23 is disposed, for example, at the bottom of the car 21. The vibration sensor 23 is a sensor for detecting vibrations of the car 21. Specifically, the vibration sensor 23 is a frequency change type vibration sensor that detects changes in the frequency of vibrations of the car 21.

[0026] The vibration sensor 23 may be configured to output an effective value of the vibration (Peak-to-Peak value: PP value) calculated based on the measured change in acceleration. The vibration sensor 23 may also have a function of outputting the result of frequency analysis of the vibration indicated by the measured change in acceleration.

[0027] The vibration sensor 23 detects, for example, vibrations in the up-down direction, the front-back direction, and the left-right direction of the car 21. The vibration sensor 23 detects vibrations of the car 21 and outputs a detection signal to the elevator control device 20.

[0028] The hoisting machine 26 is disposed in the machine room 25, and has a main sheave 261 and a deflector pulley 262. A main rope R is stretched between the main sheave 261 and the deflector pulley 262. The car 21 is connected to one end of the main rope R, and a counterweight W is connected to the other end of the main rope R.

[0029] Rotational power from the motor of the hoisting machine 26 is transmitted to the main sheave 261 via a power transmission mechanism, and the main sheave 261 is rotated. When the main sheave 261 is rotated, the main ropes R run, and the car 21 suspended from the main ropes R is guided by a guide rail (not shown) and moves up and down the hoistway 24. Note that a configuration may also be adopted in which the car 21 is suspended by a car sheave and the counterweight W is suspended by a weight sheave.

[0030] The elevator control device 20 is disposed in the machine room 25 and controls the overall operation of the elevator 2. The elevator control device 20 controls the driving of the hoisting machine 26 to raise and lower the car 21 based on the user's operation of an operation panel installed in the car 21 and a call button installed at the landing P on each floor.

[0031] As shown in Fig. 1, the elevator control device 20 receives a detection signal from the vibration sensor 23. Based on the detection signal from the vibration sensor 23, the elevator control device 20 transmits vibration data of the car 21 of each elevator 2 to the database server 3. The elevator control device 20 may be configured to transmit to the database server 3 an effective value of the vibration (Peak-to-Peak value: PP value) calculated based on the change in acceleration measured by the vibration sensor 23. The elevator control device 20 may also be configured to transmit to the database server 3 the result of frequency analysis of the vibration indicated by the change in acceleration measured by the vibration sensor 23.

[0032] [Database Server] 1, the database server 3 is connected to each elevator control device 20 of a plurality of elevators 2 via a communication network such as the Internet. The database server 3 is also connected to the elevator analysis device 1 via a communication network such as the Internet.

[0033] The database server 3 stores vibration data relating to vibrations generated during operation of each elevator 2, in association with each identification number of the plurality of elevators 2. Note that the database server 3 may also store data on the effective value of vibration and data on the result of vibration frequency analysis as vibration data. Furthermore, when the database server 3 stores measurement data of changes in acceleration measured by the vibration sensor 23, the data analysis unit 12 of the elevator analysis device 1 may calculate data on the effective value of vibration and data on the result of vibration frequency analysis based on the measurement data.

[0034] [External terminal] The external terminal 4 is, for example, a PC (Personal Computer). The external terminal 4 is connected to the elevator analysis device 1 via a communication network such as the Internet. It is assumed that one or more external terminals 4 are provided.

[0035] The external terminal 4 has a display unit 41, an operation unit 42, and a storage unit 43. The display unit 41 is a display for displaying information relating to the occurrence of vibration in the elevator 2 output by the data output unit 13, etc.

[0036] The operation unit 42 accepts operations by a user such as a maintenance technician. Details related to the malfunction event entered by the user operating the operation unit 42 are input to the input acceptance unit 14. The storage unit 43 stores various programs executed by the external terminal 4 and data used by the programs.

[0037] [Elevator analysis method flow] Next, the flow of the elevator analysis method performed by the elevator analysis device 1 will be described with reference to Fig. 3 and Fig. 4. Fig. 3 is a flowchart showing an example of the flow of the elevator analysis method performed by the elevator analysis device 1.

[0038] 3, first, when the data acquisition unit 11 of the elevator analysis device 1 receives an instruction to display a graph showing the relationship between the operation period and the number of occurrences of malfunction events from the external terminal 4, the data acquisition unit 11 acquires the history of vibration value measurement data from the database server 3 (step S1: data acquisition step). As described above, the history of vibration value measurement data is the history of vibrations that occurred during operation of multiple elevators 2 installed at multiple locations.

[0039] After step S1, the data analysis unit 12 executes an analysis process based on the history of the vibration value measurement data acquired by the data acquisition unit 11 (step S2).

[0040] The flow of the data analysis process in step S2 in Fig. 3 will now be described in detail with reference to Fig. 4 to Fig. 10. Fig. 4 is a flowchart showing an example of the flow of the data analysis process in step S2 in Fig. 3. Fig. 5 is a graph showing changes in the vibration value of elevator 2 when the vibration value measurement data exceeds the vibration reference value.

[0041] In the flowchart shown in FIG. 4, first, the data analysis unit 12 acquires, for each piece of vibration value measurement data, the operation period from the start of operation of the elevator 2 until the vibration value exceeds the vibration reference value (step S21: data analysis step).

[0042] The data analysis unit 12 acquires data showing the change in vibration value from the start date of operation of the elevator 2 when the PP value exceeded the vibration standard value to the date when the PP value exceeded the vibration standard value, and calculates the operation period, as shown in Fig. 5. In this way, by calculating in advance the operation period until the vibration PP value exceeds the vibration standard value, it becomes possible to quickly display a histogram, which will be described later.

[0043] Next, the data analysis unit 12 acquires the proportion of each vibration frequency band at the time when the vibration value is greatest in the vibration value measurement data when the vibration value exceeds the vibration reference value (step S22).

[0044] Figure 6 is a graph showing the changes in vibration value measurement data when the PP value of the vibration of elevator 2 exceeds the vibration standard value (measured at 1:54 PM on November 16, 2023). Figure 6 shows the changes in the vibration value measurement data when elevator car 21, which has exceeded the vibration standard value, travels from the bottom floor to the top floor over a period of 60 seconds. The horizontal axis of Figure 6 is the measurement time (s), and the vertical axis is the effective value of the vibration value (gal). Note that each bar graph in Figure 6 shows the proportion of each vibration frequency band separately.

[0045] In step S22, the data analysis unit 12 acquires the proportion of each vibration frequency band at time T1 when the vibration value is greatest, as shown in Fig. 6. In the example shown in Fig. 6, the effective value of the vibration value is greatest at the time 18 seconds after moving from the lowest floor.

[0046] Next, the data analysis unit 12 acquires the proportion of each vibration frequency band at the same time point when the vibration value becomes maximum in step S22 from the vibration value measurement data at the start of operation shown in FIG. 6 (step S23).

[0047] Figure 7 shows the changes in vibration measurement data when elevator car 21 of elevator 2 moves from the bottom floor to the top floor over 60 seconds at the start of operation (measured at 14:55 on March 22, 2023). The horizontal axis of Figure 7 is time (s), and the vertical axis is the effective vibration value (gal). Each bar graph in Figure 7 shows the proportion of each vibration frequency band separately.

[0048] In step S23, the data analysis unit 12 acquires the proportion of each vibration frequency band at time T1, which is the same time point at which the vibration value in step S22 becomes maximum, in the vibration value measurement data at the start of operation shown in FIG.

[0049] Next, the data analysis unit 12 compares the proportion of each vibration frequency band acquired in step S22 with the proportion of each vibration frequency band acquired in step S23, and acquires the vibration frequency band that has increased the most (step S24).

[0050] Here, Fig. 8 shows a graph indicating the proportion of each vibration frequency band at the time when the effective value of the vibration value is greatest in the vibration value measurement data shown in Fig. 6. Also, Fig. 9 shows a graph indicating the proportion of each vibration frequency band at the same time when the vibration value is greatest in the vibration value measurement data at the start of operation shown in Fig. 7.

[0051] In step S24, the data analysis unit 12 compares Fig. 8 and Fig. 9 to obtain the frequency band FR1, which is the vibration frequency band in which the effective value of the vibration value has increased the most. In the example shown in Fig. 9, the frequency band FR1 is a frequency band of 2 to 5 Hz.

[0052] After step S24, the data analysis unit 12 identifies the cause of vibration corresponding to frequency band FR1, which is the vibration frequency band with the greatest increase (step S25). In step S25, the data analysis unit 12 identifies, based on frequency band FR1, that the cause of vibration in the elevator 2 in Fig. 6 is due to, for example, encoder deterioration.

[0053] In this way, the data analysis process shown in Fig. 4 is completed. By the data analysis process shown in Fig. 4, data indicating the operating period and vibration cause for each vibration level of each elevator 2 can be obtained, as shown in Fig. 10. In Fig. 10, the identification number is a number assigned to each elevator 2 to individually identify it.

[0054] The vibration levels represent the level of the vibration reference value, and are set in ascending order of the vibration reference value, for example, from vibration level 1 to vibration level 5. The vibration levels represent the difference in the allowable vibration level required depending on the type and use of the elevator. For example, the allowable vibration level may be set low for elevators used in luxury hotels, and high for elevators used for transporting luggage. In other words, the data analysis unit 12 performs the data analysis process shown in FIG. 4 for each vibration level. Note that, although multiple vibration levels are set in this example, the data analysis process may be performed for only one vibration reference value.

[0055] 3, the data output unit 13 outputs the relationship between the operation period of the elevator 2 and the number of occurrences for each vibration cause when the vibration value exceeds the vibration reference value (step S3: data output step). Specifically, the display unit 41 of the external terminal 4 displays a graph showing the relationship between the operation period of the elevator 2 and the number of occurrences for each vibration cause when the vibration value exceeds the vibration reference value, based on the data transmitted from the data output unit 13, as shown in FIG.

[0056] 11 lists factors A to F as causes of vibration. As mentioned above, the factors include, for example, the roller guide of the car, the motor drive of the hoist, the car sheave, the main sheave, and the encoder that detects the amount of movement of the car.

[0057] For example, the vibration value measurement data in Figure 11 shows that the number of cases where the vibration standard value is exceeded increases after two years of operation of elevator 2. In other words, it is possible to determine that it is preferable to conduct intensive operation checks during maintenance once the operation period has exceeded two years.

[0058] Furthermore, in step S3, the data output unit 13 may display on the display unit 41 a pie chart showing the proportion of each vibration cause when the vibration standard value is exceeded within a predetermined number of years (for example, five years) of the elevator 2, as shown in Fig. 12. By checking the display in Fig. 12, the maintenance personnel can grasp the proportion and number of each vibration cause.

[0059] For example, if factor B is the encoder, maintenance personnel can see by checking the pie chart in Figure 12 that the proportion of factor B is high, and therefore understand that the main cause of vibration in that elevator 2 is due to the operation of the encoder. This allows them to take appropriate measures, such as focusing on maintenance of the encoder of that elevator 2.

[0060] 13, the display unit 41 may be configured to display a user interface that allows the user to narrow down the number of graphs displayed based on the vibration level and the cause of vibration. In this case, for example, the user operates the operation unit 42 to select "1" for the vibration level item and "roller guide" for the vibration cause item. At this time, the input receiving unit 14 transmits the input content received from the user to the data analysis unit 12. The data analysis unit 12 performs analysis processing based on the history of vibration value measurement data to match the received input content.

[0061] Then, the data output unit 13 transmits data showing a histogram indicating the relationship between the number of data items in which vibration of vibration level 1 caused by the roller guide occurred, which is the vibration cause specified by the user via the input receiving unit 14, and the operating period (number of years of operation) to the external terminal 4. As a result, the display unit 41 displays a graph such as that shown in the lower diagram of FIG.

[0062] 14, when a vibration cause is selected on display unit 41, parameters (specification items) that can further narrow down the data according to the selected vibration cause may be displayed. In this case, for example, suppose that the user operates operation unit 42 to select "1" as the vibration level item and "roller guide" as the vibration cause item, and then further selects "90 m / min" as the moving speed of elevator 2 and "BBB" as the model number of RG (roller guide).

[0063] In this case, the data output unit 13 narrows down the number of data items in which vibrations occurred due to the vibration cause specified by the user to the specification items specified by the user via the input receiving unit 14 among the specification items (see the square box in Figure 14) associated with the vibration cause.

[0064] Then, the data output unit 13 transmits data indicating the relationship between the number of data items narrowed down by the elevator 2 moving speed of 90 [m / min] and the RG model number "BBB" and the operation period to the external terminal 4. As a result, the display unit 41 displays a graph as shown in the lower diagram of FIG.

[0065] 15, the display unit 41 may display an input field for the identification number (identification code) of the elevator 2, allowing the data to be further narrowed down by the identification number. In this case, for example, the user may operate the operation unit 42 to select "1" for the vibration level item, select "roller guide" for the vibration cause item, and then select "111111" as the identification number of the elevator 2.

[0066] In this case, the data output unit 13 narrows down the number of data items in which vibration has occurred to the specification items associated with the identification number of the elevator 2 designated by the user via the input receiving unit 14.

[0067] Then, the data output unit 13 transmits data indicating the relationship between the number of narrowed down cases based on the specification items associated with "111111," which is the identification number of the elevator 2, and the operation period, to the external terminal 4. As a result, the display unit 41 displays a graph such as that shown in the lower diagram of FIG.

[0068] In this manner, elevator analysis processing is performed by the elevator analysis device 1 shown in Fig. 3. According to the elevator analysis method using the elevator analysis device 1 of this embodiment, past measurement data of multiple elevators 2 can be output as data that can be used as reference when maintaining or designing the elevator 2.

[0069] Specifically, a histogram showing the relationship between the operating period until vibration occurs in multiple elevators 2 and the number of occurrences of vibration can be displayed on the display unit 41 by the data output unit 13, as shown in Fig. 11. This allows maintenance personnel to understand the causes of vibration occurrence in each elevator 2 and the timing for maintenance, enabling efficient maintenance.

[0070] Furthermore, the database server 3 automatically collects the history of vibration measurement data. This eliminates the need for maintenance personnel to measure the vibration data of elevators 2 on-site, and allows maintenance personnel to remotely grasp the vibration data of multiple elevators 2. This reduces the maintenance personnel's work time.

[0071] Furthermore, the data analysis unit 12 identifies the cause of each vibration occurrence acquired by the data acquisition unit 11, and the data output unit 13 can output the number of vibration occurrences for each vibration cause as a breakdown of the number of vibration occurrences, as shown in Fig. 12. This allows the maintenance personnel to identify the parts of the elevator 2 that should be prioritized for maintenance.

[0072] In addition, a histogram showing the relationship between the number of occurrences of vibrations caused by a vibration cause specified by the user through operation of operation unit 42 and the operation period can be displayed on display unit 41, as shown in Fig. 13. This enables filtering according to the vibration cause, allowing maintenance personnel to identify parts of elevator 2 that require priority maintenance.

[0073] Furthermore, a histogram showing the relationship between the number of cases where vibration occurred due to a vibration cause specified by the user through operation of the operation unit 42, narrowed down by the specification items specified by the user among the specification items associated with the vibration cause, and the operation period, can be displayed on the display unit 41 as shown in Fig. 14. This enables filtering according to the specification items, so that the maintenance personnel can understand what specifications of the elevator 2 are desirable for maintenance to be performed on.

[0074] 15, a histogram showing the relationship between the number of narrowed down cases based on the specification items associated with the identification number of the elevator 2 and the operation period can be displayed on the display unit 41. This allows the maintenance worker to know the time when maintenance should be prioritized for the elevator 2 of interest and the parts of the elevator 2.

[0075] Other Embodiments In the above-described embodiment, the elevator analysis device 1 is a device that acquires vibration data via the database server 3, but is not limited to this. For example, the elevator analysis device 1 may be configured to have a database function that acquires vibration data. Furthermore, the elevator analysis device 1 may be a web server connected to the database server 3.

[0076] Furthermore, in the elevator system 100 in the above embodiment, the measurement data of the vibration sensors 23 provided in the elevators 2 is stored in the database server 3, but this is not limiting. For example, a maintenance worker for the elevators 2 may measure the vibration data of each elevator 2 using a measuring instrument and upload the measurement results to the database server 3 using any terminal.

[0077] In the above embodiment, the elevator 2 is driven by a rope-type traction system, but the elevator is not limited to this, and may be driven by a rope-type drum system or a hydraulic system that raises and lowers the car 21 with a hydraulic jack. Also, the machine room 25 does not have to be provided, and the elevator control device 20 may be located in the hoistway 24.

[0078] Furthermore, in the above embodiment, the vibration sensor 23 detects vibrations in three axial directions, but is not limited to this and may instead detect vibrations in only one axial direction or two axial directions. Furthermore, the vibration sensor 23 is a frequency change type vibration sensor, but is not limited to this and may also be a capacitance type or piezoelectric type vibration sensor. Furthermore, instead of the vibration sensor 23, an acceleration sensor that detects acceleration applied to the car 21 may be used.

[0079] Furthermore, although the vibration sensor 23 is arranged at the bottom of the car 21, the present invention is not limited to this and may be arranged, for example, near an operation panel inside the car 21. Furthermore, a smartphone equipped with a vibration sensor may be used instead of the vibration sensor 23.

[0080] In the above embodiment, the malfunction event is when the vibration data of the elevator 2 exceeds a predetermined reference value, but this is not limited to this. For example, the malfunction event may be when the noise data exceeds a predetermined reference value. In this case, a sound level meter with a microphone may be used instead of the vibration sensor 23 to measure the noise data while the elevator 2 is in operation.

[0081] Furthermore, in the above embodiment, the external terminal 4 is a PC, but is not limited to this and may be a mobile terminal with a display unit such as a smartphone or tablet terminal. Furthermore, the elevator analysis device 1 may be provided with a display unit and an operation unit, in which case the maintenance worker can directly operate the operation unit of the elevator analysis device 1 and check the analysis results on the display unit of the elevator analysis device 1.

[0082] [Software implementation example] The functions of the elevator analysis device 1 (hereinafter referred to as the "device") can be realized by an elevator analysis program that causes a computer to function as the device, and that causes a computer to function as each control block of the device (data acquisition unit 11, data analysis unit 12, data output unit 13, and input reception unit 14).

[0083] In this case, the device includes a computer having at least one control device (e.g., a processor) and at least one storage device (e.g., a memory) as hardware for executing the elevator analysis program. The functions described in the above embodiments are realized by executing the program using the control device and the storage device.

[0084] The elevator analysis program may be non-transitory and may be recorded on one or more computer-readable recording media. The recording media may or may not be included in the device. In the latter case, the elevator analysis program may be supplied to the device via any wired or wireless transmission medium.

[0085] Furthermore, some or all of the functions of the control blocks can be realized by logic circuits. For example, an integrated circuit in which a logic circuit that functions as each of the control blocks is formed is also included in the scope of the present invention. In addition, the functions of the control blocks can also be realized by, for example, a quantum computer.

[0086] Furthermore, each process described in the above embodiment may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0087] The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of symbols]

[0088] 1. Elevator analysis device 2. Elevator 3 Database Server 4 External Terminal 11 Data Acquisition Section 12 Data Analysis Department 13 Data output section 14 Input reception section 20 Elevator control device 21 Car 23 Vibration Sensor 100 Elevator System

Claims

1. a data acquisition unit that acquires a history of malfunctions that have occurred during operation of elevators installed at multiple locations; a data analysis unit that acquires, for each of the malfunction events acquired by the data acquisition unit, an operation period from the start date of operation of the corresponding elevator to the occurrence of the malfunction event; a data output unit that outputs a relationship between the operating period and the number of occurrences of the malfunction events, the data analysis unit identifies a cause of the malfunction for each of the malfunction events acquired by the data acquisition unit; The data output unit outputs the number of occurrences of each malfunction cause as a breakdown of the number of occurrences of the malfunction event.

2. A data acquisition unit that acquires the history of malfunctions that occur during the operation of elevators installed at multiple locations; a data analysis unit that acquires, for each of the malfunction events acquired by the data acquisition unit, an operation period from the start date of operation of the corresponding elevator to the occurrence of the malfunction event; a data output unit that outputs a relationship between the operation period and the number of occurrences of the malfunction events; an input receiving unit that receives input from a user, the data analysis unit identifies a cause of the malfunction for each of the malfunction events acquired by the data acquisition unit; The data output unit outputs the relationship between the number of occurrences of the malfunction event caused by the malfunction cause specified by the user via the input receiving unit and the operation period.

3. 3. The elevator analysis device according to claim 1, wherein the malfunction event is a measurement data measured during operation of the elevator exceeding a predetermined reference value.

4. The elevator analysis device according to claim 1 or 2, wherein the data output unit further outputs data showing a histogram with the operating period on the horizontal axis and the number of occurrences of the malfunction event on the vertical axis.

5. 3. The elevator analysis device according to claim 2, wherein the data output unit outputs a relationship between the number of occurrences of the malfunction event due to the malfunction cause specified by the user, the number of occurrences narrowed down by the specification item specified by the user via the input receiving unit among the specification items associated with the malfunction cause, and the operating period.

6. further comprising an input receiving unit that receives input from a user; 3. The elevator analysis device according to claim 1, wherein the data output unit further outputs a relationship between the number of occurrences of the malfunction event narrowed down by a specification item associated with the elevator identification number specified by the user via the input receiving unit and the operating period.

7. a data acquisition step in which an elevator analysis device acquires a history of malfunction events that have occurred during operation of elevators installed at multiple locations; a data analysis step in which the elevator analysis device acquires, for each of the malfunction events acquired by the data acquisition step, an operation period from the start date of operation of the corresponding elevator to the occurrence of the malfunction event; a data output step in which the elevator analysis device outputs a relationship between the operation period and the number of occurrences of the malfunction event, In the data analysis step, the elevator analysis device identifies a cause of a malfunction for each of the malfunction events acquired in the data acquisition step, In the data output step, the elevator analysis device outputs the number of occurrences of each cause of the malfunction as a breakdown of the number of occurrences of the malfunction event.

8. A data acquisition step in which an elevator analysis device acquires a history of malfunctions that have occurred during operation of elevators installed at multiple locations; a data analysis step in which the elevator analysis device acquires, for each of the malfunction events acquired by the data acquisition step, an operation period from the start date of operation of the corresponding elevator to the occurrence of the malfunction event; a data output step in which the elevator analysis device outputs a relationship between the operation period and the number of occurrences of the malfunction event; an input receiving step in which the elevator analysis device receives an input from a user, In the data analysis step, the elevator analysis device identifies a cause of a malfunction for each of the malfunction events acquired in the data acquisition step, In the data output step, the elevator analysis device outputs the relationship between the number of occurrences of the malfunction event due to the malfunction cause specified by the user in the input receiving step and the operating period.

9. 2. An elevator analysis program for causing a computer to function as the elevator analysis device according to claim 1, the elevator analysis program causing a computer to function as the data acquisition unit, the data analysis unit, and the data output unit.

10. An elevator analysis program for causing a computer to function as the elevator analysis device described in claim 2, wherein the elevator analysis program causes a computer to function as the data acquisition unit, the data analysis unit, the data output unit, and the input reception unit.

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