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

Abstract

The system will be able to output past measurement data from multiple elevators as data that can be used as reference during elevator maintenance and design. [Solution] The elevator analysis device (1) includes a data acquisition unit (11) that acquires a history of malfunction events that occur during the operation of elevators (2) installed in multiple locations, a data analysis unit (12) that acquires the operating period for each malfunction event from the start date of operation of the elevator (2) to the time the malfunction event occurs, 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 Art

[0002] Conventionally, 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 riding comfort has deteriorated when the increase amount of the vibration acceleration of the car is a predetermined value or more.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the technique described in Patent Document 1, the operation deterioration state of an elevator is determined according to the secular change of the acceleration data of one elevator. However, the technical idea of using the past measurement data of an elevator as reference data when maintaining other elevators or designing an elevator is not considered.

[0005] One aspect of the present invention aims to provide an elevator analysis device capable of outputting past measurement data of a plurality of elevators as data that can be used as reference when maintaining or designing an elevator.

Means for Solving the Problems

[0006] To solve the above problems, an elevator analysis device according to one aspect 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 elevator to the time the malfunction event occurs; and a data output unit that outputs a relationship between the operating period and the number of times the malfunction event occurred.

[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 occurred during the operation of elevators installed at multiple locations; a data analysis step of acquiring the operating period from the start date of operation of the elevator to the time the malfunction event occurred for each of the malfunction events acquired by the data acquisition step; and a data output step of outputting the relationship between the operating period and the number of times the malfunction event occurred. [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 during elevator maintenance and design. [Brief explanation of the drawing]

[0009] [Figure 1] This is a block diagram showing the configuration of an elevator system equipped with an elevator analysis device according to an embodiment of the present invention. [Figure 2] This is a diagram showing the overall configuration of the elevator according to the embodiment. [Figure 3] This flowchart shows an example of the flow of an elevator analysis method using the elevator analysis device according to the embodiment. [Figure 4] Figure 3 is a flowchart showing an example of the analysis process flow for S2. [Figure 5] This graph shows the vibration of an elevator whose PP value exceeds the vibration standard value. [Figure 6] This graph shows the change in vibration measurement data when the PP value of the elevator vibration according to the embodiment exceeds the vibration standard value. [Figure 7] Figure 6 is a graph showing the changes in vibration measurement data at the start of elevator operation. [Figure 8] Figure 6 is a graph showing the proportion of each vibration frequency band at the point in time when the vibration value of the elevator exceeds the vibration standard value, based on the vibration measurement data. [Figure 9] Figure 6 is a graph showing the proportion of each vibration frequency band at the same time point as the point in time when the vibration value is greatest, based on the vibration value measurement data at the start of elevator operation. [Figure 10] This figure shows the number of days and the cause of vibration for each vibration level of each elevator according to the embodiment. [Figure 11] This histogram shows the relationship between the operating period of the elevator according to the embodiment and the number of instances where the vibration value exceeded the vibration standard value for each vibration factor. [Figure 12] This is a pie chart showing the proportion of each vibration factor in the elevator according to the embodiment. [Figure 13] This graph shows the relationship between the number of vibrations caused by user-specified vibration sources and the operating period in an elevator according to the embodiment. [Figure 14] This graph shows the relationship between the number of vibration occurrences, narrowed down by the specification items specified by the user, and the operating period in an elevator according to the embodiment. [Figure 15] This graph shows the relationship between the number of vibration occurrences and the operating period, narrowed down by specification items associated with the elevator identification number specified by the user, in an elevator according to the embodiment. [Modes for carrying out the invention]

[0010] Hereinafter, an elevator system 100 equipped with an elevator analysis device 1 according to one embodiment of the present invention will be described with reference to Figures 1 to 15.

[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 malfunction events that occurred during the operation of the plurality of elevators 2 installed in a plurality of buildings is stored in the database server 3. Then, the elevator analysis device 1 analyzes the history information regarding the stored malfunction events and displays the analysis results on the external terminal 4. As a result, the maintenance staff of the elevator 2 can grasp the locations where maintenance is required in the elevator 2.

[0013] Note that the history of malfunction events in the plurality of elevators 2 within one building may be stored in the database server 3. In addition, examples of malfunction events that occur during the operation of the elevator 2 include abnormalities included in the vibration data in the elevator car 21 (see FIG. 2) of the elevator 2. In this example case, the elevator control device 20 that controls the operation of the elevator 2 may control the operation of the elevator car 21 to obtain the vibration data in the elevator car 21, for example, during a time period when there are no users such as at night, and transmit the measured vibration data to the database server 3.

[0014] In the present embodiment, as an example of a malfunction event, a case where the vibration data measured by the vibration sensor 23 exceeds a predetermined reference value (vibration reference value) during the operation of the plurality of elevators 2 is given. The elevator analysis device 1 performs analysis on the vibration data of each of the plurality of elevators 2. The vibration data is an example of measurement data measured during the operation of the elevator 2.

[0015] [Elevator Analysis Device] Next, the elevator analysis device 1 will be described with reference to Figure 1. As shown in Figure 1, the elevator analysis device 1 includes 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 acquisition unit 11 acquires the history of vibration data from the database server 3 during the operation of elevators 2 installed in multiple locations. Alternatively, the data acquisition unit 11 may acquire the vibration data history via a recording medium such as a USB (Universal Serial Bus) memory.

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

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

[0019] The data output unit 13 outputs data showing a histogram based on the results analyzed by the data analysis unit 12 (see Figure 11). The histogram has the operating period of elevator 2 on the horizontal axis and the number of vibration occurrences on the vertical axis. In addition to a histogram, the data output unit 13 may also output a table or other data showing the relationship between the operating period of elevator 2 and the number of vibration occurrences.

[0020] The input receiving unit 14 receives input from users such as maintenance personnel of the elevator 2 via the operation unit 42 of the external terminal 4. The input receiving unit 14 receives input such as vibration level, cause of vibration, specifications of the elevator 2, and identification number of the elevator 2.

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

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

[0023] Elevator 2 is, for example, a rope-type traction elevator, installed in buildings such as public facilities, corporate facilities, retail facilities, and residential facilities. Below, the vertical and horizontal directions of elevator 2 are defined as shown by the arrows in Figure 2. The direction towards the viewer in Figure 2 is defined as the right direction of elevator 2, and the direction towards the viewer in Figure 2 is defined as the left direction of elevator 2.

[0024] In a building where elevator 2 is installed, there is a landing P on each floor. The elevator car 21 moves up and down through the hoistway 24 towards the landing P on the destination floor. The car doors 22 are of the left and right-opening type, and their opening and closing operation is controlled by the elevator control device 20.

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

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

[0027] The vibration sensor 23 detects vibrations of the elevator car 21 in the vertical, longitudinal, and lateral directions, for example. The vibration sensor 23 detects vibrations of the elevator car 21 and outputs a detection signal to the elevator control device 20.

[0028] The hoisting machine 26 is located in the machine room 25 and has a main sheave 261 and a deflector wheel 262. A main rope R is stretched between the main sheave 261 and the deflector wheel 262. A ride 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] The rotational power from the motor of the hoisting machine 26 is transmitted to the main sheave 261 via the power transmission mechanism, and the main sheave 261 is rotated. When the main sheave 261 is rotated, the main rope R moves, and the elevator car 21 suspended from the main rope R is guided by the guide rail (not shown) and moves along the hoistway 24 in the vertical direction. Alternatively, the elevator car 21 may be suspended by a car sheave and the counterweight W may be suspended by a weight sheave.

[0030] The elevator control device 20 is located in the machine room 25 and comprehensively controls the overall operation of the elevator 2. Based on user operations from the control panel installed inside the elevator car 21 and the call buttons installed at the landings P on each floor, the elevator control device 20 controls the drive of the hoisting machine 26 to raise and lower the elevator car 21.

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

[0032] [Database Server] As shown in Figure 1, the database server 3 is connected to each elevator control device 20 of the multiple 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 related to vibrations generated during the operation of each elevator 2, associated with the identification number of each of the multiple elevators 2. The database server 3 may also store vibration data including the effective value of vibration and vibration frequency analysis results. Furthermore, if the database server 3 stores measurement data of acceleration changes measured by the vibration sensor 23, the data analysis unit 12 of the elevator analysis device 1 may calculate the effective value of vibration and vibration frequency analysis results based on this measurement data.

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

[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 showing information related to vibration generation in the elevator 2 output by the data output unit 13.

[0036] The operation unit 42 accepts operations from users such as maintenance personnel. Information related to malfunctions entered by the user through the operation unit 42 is input to the input reception unit 14. The storage unit 43 stores various programs executed by the external terminal 4, as well as data used by those programs.

[0037] [Flowchart of Elevator Analysis Method] Next, the flow of the elevator analysis method using the elevator analysis device 1 will be explained with reference to Figures 3 and 4. Figure 3 is a flowchart showing an example of the flow of the elevator analysis method using the elevator analysis device 1.

[0038] In the flowchart shown in Figure 3, first, when the data acquisition unit 11 of the elevator analysis device 1 receives a request from the external terminal 4 to display a graph showing the relationship between the operating period and the number of malfunction events, it 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 the operation of multiple elevators 2 installed in multiple locations.

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

[0040] Here, the data analysis process flow in step S2 of Figure 3 will be explained in detail with reference to Figures 4 to 10. Figure 4 is a flowchart showing an example of the data analysis process flow in step S2 of Figure 3. Figure 5 is a graph showing the change in vibration value of elevator 2 when the vibration measurement data exceeds the vibration reference value.

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

[0042] As shown in Figure 5, the data analysis unit 12 acquires data showing the change in vibration value from the start date of operation of elevator 2, when the PP value exceeds the vibration standard value, to the date when the vibration standard value is exceeded, and calculates the above operating period. By calculating the operating period until the vibration PP value exceeds the vibration standard value in advance, it becomes possible to quickly display the histogram described later.

[0043] Next, the data analysis unit 12 obtains the percentage of each vibration frequency band at the point in 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 measurement data when the PP value of elevator 2's vibration exceeded the vibration standard value (measured at 13:54 on November 16, 2023). Figure 6 shows how the vibration measurement data changed when elevator car 21 of elevator 2, which exceeded the vibration standard value, moved from the lowest floor to the top floor over 60 seconds. The horizontal axis of Figure 6 represents the measurement time [s], and the vertical axis represents the effective value of the vibration [gal]. In addition, each bar graph in Figure 6 shows the proportion of vibration for each frequency band separately.

[0045] In step S22, the data analysis unit 12 obtains the percentage of each vibration frequency band at time T1 when the vibration value is greatest, as shown in Figure 6. In the example shown in Figure 6, the effective value of the vibration is greatest when 18 seconds have passed since moving from the lowest floor.

[0046] Next, the data analysis unit 12 obtains the percentage of each vibration frequency band at the same time point as the point in step S22 when the vibration value is greatest, using the vibration value measurement data at the start of operation shown in Figure 6 (step S23).

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

[0048] In step S23, the data analysis unit 12 obtains the percentage of each vibration frequency band at time T1, which is the same time as the point in step S22 when the vibration value is greatest, in the vibration value measurement data at the start of operation shown in Figure 7.

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

[0050] Here, Figure 8 shows a graph illustrating the proportion of each vibration frequency band at the point in time when the effective value of the vibration is greatest, based on the vibration measurement data shown in Figure 6. Figure 9 also shows a graph illustrating the proportion of each vibration frequency band at the same point in time when the vibration is greatest, based on the vibration measurement data at the start of operation shown in Figure 7.

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

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

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

[0054] The vibration level represents the level of the vibration reference value, and is set in order from the lowest vibration reference value to the highest, for example, vibration levels 1 to 5. The vibration level represents the difference in the permissible vibration level required depending on the type and use of the elevator. For example, elevators used in luxury hotels have a lower permissible vibration level, while elevators used for transporting luggage have a higher permissible vibration level. In other words, the data analysis unit 12 performs the data analysis processing shown in Figure 4 for each vibration level. In this example, multiple vibration levels are provided, but data analysis processing may be performed for only one vibration reference value.

[0055] Returning to Figure 3, the data output unit 13 outputs the relationship between the operating period of elevator 2 and the number of times each vibration factor exceeded the vibration standard value (Step S3: Data output step). Specifically, the display unit 41 of the external terminal 4 displays a graph, as shown in Figure 11, showing the relationship between the operating period of elevator 2 and the number of times each vibration factor exceeded the vibration standard value, based on the data transmitted from the data output unit 13.

[0056] Figure 11 lists factors A through F as causes of vibration. As mentioned above, these factors include, for example, the roller guides of the elevator car, the motor drive of the hoisting machine, the car sheave, the main sheave, and the encoder that detects the amount of movement of the elevator car.

[0057] For example, the vibration measurement data in Figure 11 shows that the number of instances exceeding the vibration standard value increases after two years of operation for elevator 2. In other words, it can be determined that it is preferable to perform thorough operational checks during maintenance once two years of operation have passed.

[0058] Furthermore, in step S3, the data output unit 13 may display a pie chart on the display unit 41, as shown in Figure 12, representing the proportion of each vibration factor when the vibration standard value is exceeded within a predetermined number of years (e.g., 5 years) of the elevator 2. Maintenance personnel can understand the proportion and number of each vibration factor by checking the display in Figure 12.

[0059] For example, if factor B is the encoder, the maintenance worker can check the pie chart in Figure 12 and, seeing that factor B accounts for a large proportion, understand that the main cause of vibration in elevator 2 is the operation of the encoder. This allows them to take appropriate measures, such as focusing maintenance on the encoder of elevator 2.

[0060] Furthermore, as shown in the upper diagram of Figure 13, the display unit 41 may display a user interface that allows the user to narrow down the number of graphs displayed for vibration level and vibration cause. In this case, for example, the user may operate 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 reception unit 14 transmits the input 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.

[0061] The data output unit 13 then transmits data to the external terminal 4 via the input reception unit 14, showing a histogram of the relationship between the number of data points where vibration level 1 vibrations caused by the roller guide occurred and the operating period (years of operation). As a result, the display unit 41 displays a graph as shown in the lower part of Figure 13.

[0062] Furthermore, as shown in the upper diagram of Figure 14, the display unit 41 may display parameters (specification items) that allow for further filtering of data according to the selected vibration cause once the vibration cause is selected. In this case, for example, the user may operate the operation unit 42 to select "1" for the vibration level item, "Roller Guide" for the vibration cause item, and then select "90 [m / min]" for the elevator 2's moving speed and "BBB" for the RG (roller guide) model number.

[0063] In this case, the data output unit 13 narrows down the number of data entries where vibrations occurred due to a vibration cause specified by the user, using the specification items (see the boxed area in Figure 14) associated with that vibration cause, as specified by the user via the input reception unit 14.

[0064] The data output unit 13 then transmits data to the external terminal 4 showing the relationship between the number of data entries filtered by the elevator 2's travel speed of 90 m / min and the RG model number "BBB", and the operating period. As a result, the display unit 41 displays a graph as shown in the lower part of Figure 14.

[0065] Furthermore, as shown in the upper diagram of Figure 15, the display unit 41 may display an input field for the identification number (identification code) of elevator 2, allowing for further filtering of data based on the identification number. In this case, for example, the user may operate the control unit 42 to select "1" for the vibration level item, select "roller guide" for the vibration cause item, and then select "111111" for the identification number of elevator 2.

[0066] In this case, the data output unit 13 narrows down the number of data entries where vibration occurred based on the specification items associated with the identification number of elevator 2 specified by the user via the input reception unit 14.

[0067] The data output unit 13 then transmits data to the external terminal 4 showing the relationship between the number of items filtered by the specification item associated with the elevator 2's identification number "111111" and the operating period. As a result, the display unit 41 displays a graph as shown in the lower part of Figure 15.

[0068] As described above, the elevator analysis process by the elevator analysis device 1 shown in Figure 3 is executed. According to the elevator analysis method by 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 during maintenance and design of the elevators 2.

[0069] Specifically, as shown in Figure 11, the data output unit 13 can display on the display unit 41 a histogram showing the relationship between the operating period until vibration occurs in multiple elevators 2 and the number of vibrations that occurred. This allows maintenance personnel to understand the causes of vibration in each elevator 2 and when maintenance should be performed, enabling them to carry out maintenance efficiently.

[0070] Furthermore, the database server 3 automatically collects the history of vibration measurement data. Therefore, maintenance personnel do not need to measure the vibration data of elevator 2 on-site; they can remotely monitor the vibration data of multiple elevators 2. This reduces the maintenance personnel's working 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 outputs the number of occurrences for each vibration cause as a breakdown of the number of vibration occurrences, as shown in Figure 12. This allows maintenance personnel to identify the parts of the elevator 2 that require focused maintenance.

[0072] Furthermore, as shown in Figure 13, the display unit 41 can display a histogram showing the relationship between the number of vibrations caused by a vibration source specified by the user via the operation unit 42 and the operating period. This allows for filtering according to the vibration source, enabling maintenance personnel to identify the parts of the elevator 2 that require focused maintenance.

[0073] Furthermore, as shown in Figure 14, the display unit 41 can display a histogram showing the relationship between the number of vibrations caused by a specified vibration source (from the number of vibrations caused by a vibration source specified by the user) and the operating period, from among the specification items associated with the vibration source. This allows for filtering according to the specification items, so that maintenance personnel can understand what specifications of elevator 2 are desirable to maintain.

[0074] Furthermore, by operating the control unit 42, the user can display a histogram on the display unit 41, as shown in Figure 15, showing the relationship between the number of specification items associated with the identification number of elevator 2 and the operating period. This allows maintenance personnel to identify the time when maintenance should be prioritized for the elevator 2 of interest, as well as the parts of the elevator 2 that require maintenance.

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

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

[0077] In the embodiment described above, the elevator 2 is shown as being driven by a rope-type traction system, but it is not limited to this, and other elevators may be driven by a rope-type drum system, or by a hydraulic system that raises and lowers the elevator car 21 using hydraulic jacks. Furthermore, a machine room 25 is not required, and the elevator control device 20 may be located within the hoistway 24.

[0078] Furthermore, in the above-described embodiment, the vibration sensor 23 is configured to detect vibrations in three axes, but it is not limited to this, and may, for example, detect vibrations in only one axis or two axes. Also, although the vibration sensor 23 is described as a frequency-varying vibration sensor, it is not limited to this, and may be a capacitive or piezoelectric vibration sensor. In addition, instead of the vibration sensor 23, an acceleration sensor that detects the acceleration applied to the elevator car 21 may be used.

[0079] Furthermore, although the vibration sensor 23 is positioned at the bottom of the elevator car 21, it is not limited to this location; for example, it may be positioned near the control panel inside the elevator car 21. Alternatively, a smartphone equipped with a vibration sensor may be used instead of the vibration sensor 23.

[0080] In the embodiment described above, the malfunction event was defined as the vibration data of elevator 2 exceeding a predetermined standard value, but it is not limited to this. For example, the malfunction event may be that the noise data exceeds a predetermined standard value. In this case, instead of the vibration sensor 23, a sound level meter with a microphone can be used to measure the noise data during the operation of elevator 2.

[0081] Furthermore, although the external terminal 4 is a PC in the embodiment described above, it is not limited to a PC and may be a mobile terminal with a display unit such as a smartphone or tablet. In addition, the elevator analysis device 1 may be equipped 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] [Examples of implementation using software] The function of the elevator analysis device 1 (hereinafter referred to as "the device") is an elevator analysis program that causes a computer to function as the device, and can be realized by an elevator analysis program 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., memory) as hardware for executing the elevator analysis program. By executing the program using this control device and storage device, each of the functions described in the above embodiment is realized.

[0084] The elevator analysis program described above may be recorded on one or more computer-readable recording media, rather than on a temporary basis. These recording media may or may not be provided by 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 each of the above control blocks can also be realized by logic circuits. For example, an integrated circuit in which logic circuits functioning as each of the above control blocks are formed is also included in the scope of the present invention. In addition, it is also possible to realize the functions of each of the above control blocks by, for example, a quantum computer.

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

[0087] The present invention is not limited to the embodiments described above, 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 Elevators 3 Database Server 4. External terminals 11 Data Acquisition Unit 12 Data Analysis Department 13. Data Output Section 14 Input Reception Section 20 Elevator control device 21 Car 23 Vibration Sensor 100 Elevator Systems

Claims

1. A data acquisition unit that acquires a history of malfunctions that occurred during the operation of elevators installed in multiple locations, A data analysis unit acquires, for each of the malfunction events acquired by the data acquisition unit, the operating period from the start date of operation of the elevator to the time the malfunction event occurred. An elevator analysis device comprising: a data output unit that outputs a relationship between the operating period and the number of times the malfunction occurred.

2. The elevator analysis device according to claim 1, wherein the malfunction event is that measurement data measured during the operation of the elevator exceeds a predetermined standard value.

3. The elevator analysis apparatus according to claim 1, wherein the data output unit outputs data showing a histogram with the operating period on the horizontal axis and the number of malfunction events on the vertical axis.

4. The data analysis unit identifies the cause of each of the malfunction events acquired by the data acquisition unit. The elevator analysis apparatus according to claim 1, wherein the data output unit outputs the number of occurrences for each cause of the malfunction as a breakdown of the number of malfunction events that occurred.

5. It is further equipped with an input receiving unit that accepts input from the user, The data analysis unit identifies the cause of each of the malfunction events acquired by the data acquisition unit. The elevator analysis apparatus according to claim 1, wherein the data output unit outputs, via the input receiving unit, the relationship between the number of malfunction events caused by the malfunction specified by the user and the operating period.

6. The elevator analysis apparatus according to claim 5, wherein the data output unit outputs the relationship between the number of malfunction events that occurred due to the malfunction cause specified by the user, and the number of cases that were narrowed down by the specification item specified by the user via the input receiving unit, from among the specification items associated with the malfunction cause, and the operating period.

7. It is further equipped with an input receiving unit that accepts input from the user, The elevator analysis device according to claim 1, wherein the data output unit outputs the relationship between the number of cases in which the malfunction occurred, narrowed down by specification items associated with the elevator identification number specified by the user via the input reception unit, and the operating period.

8. A data acquisition step to obtain a history of malfunctions that occurred during the operation of elevators installed in multiple locations, A data analysis step is performed to obtain, for each of the malfunction events obtained by the data acquisition step, the operating period from the start date of operation of the elevator to the time the malfunction event occurred. An elevator analysis method comprising a data output step that outputs a relationship between the operating period and the number of times the malfunction occurred.

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

Images