Elevator diagnostic system and elevator diagnostic method

Abstract

To construct an appropriate diagnostic model by taking into consideration various changes in a state of an elevator.SOLUTION: An elevator diagnostic system comprises: a measurement data acquisition unit 11 that acquires measurement data from equipment installed in the elevator; a data storage unit 12 that stores the measurement data acquired by the measurement data acquisition unit 11; a model construction unit 13 that constructs a diagnostic model for diagnosing a state of the elevator based on the measurement data stored in the data storage unit 12; a diagnostic unit 15 that diagnoses the state of the elevator using the diagnostic model constructed by the model construction unit 13 and the measurement data; and a model update determination unit 17 that determines whether the diagnostic model can be updated using intermediate data generated in a processing process for processing the measurement data with the diagnostic model.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an elevator diagnostic system and an elevator diagnostic method. [Background technology]

[0002] Some elevators and other lifts are equipped with a system that uses sensors placed in various parts and the data detected by the sensors to diagnose whether there are any abnormalities in the elevator, deterioration of parts, etc. Such diagnostic systems include those that can simply diagnose whether there are any abnormalities based on the magnitude of a numerical value, and those that diagnose whether there are any abnormalities after determining the installation status of the elevator. An abnormality can be diagnosed based on the magnitude of a numerical value, which directly indicates the state of the elevator, such as the amount of displacement of the elevator car floor when it stops at each floor, or the time it takes for the doors to open and close.

[0003] On the other hand, there are devices that determine the installation status of an elevator and then diagnose whether or not there is an abnormality, such as devices that detect the operating sounds of each part of the elevator and analyze those operating sounds to diagnose whether or not there is an abnormality. When diagnosing by analyzing the operating sounds of each part of an elevator, the operating sounds vary depending on the elevator model. Furthermore, even for the same model, the operating sounds may differ depending on the elevator's installation environment. Therefore, in order to diagnose the state of an elevator using the detection data of the sensors, it is necessary to construct an appropriate diagnostic model for each elevator.

[0004] Patent Document 1 describes a technique for appropriately updating a diagnostic model (machine learning model) used in maintenance work and the like. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2023-2103 Summary of the Invention [Problem to be solved by the invention]

[0006] Possible causes of changes in input data from sensors in elevators include changes due to abnormalities in the equipment, changes due to maintenance work, and changes due to disturbances other than maintenance work. Therefore, a diagnostic model for diagnosing the state of an elevator must take these changes into account.

[0007] In other words, a change in status due to maintenance work refers to a change in data due to, for example, equipment replacement or adjustment, while a change in status due to disturbances other than maintenance work could be, for example, a change in the noise environment due to changes in surrounding installations. Therefore, changes in input data due to state changes caused by maintenance work and state changes caused by disturbances other than maintenance work are not events that should be detected as abnormalities. Therefore, a diagnostic model that diagnoses the state of an elevator must be constructed that does not diagnose an elevator abnormality even if these changes occur. However, it has traditionally been difficult to automatically build a diagnostic model that takes such state changes into account, and ultimately it has become necessary for maintenance personnel to manually determine abnormalities.

[0008] In view of these points, an object of the present invention is to provide an elevator diagnostic system and an elevator diagnostic method that are capable of constructing an appropriate diagnostic model that takes into account various state changes of an elevator. [Means for solving the problem]

[0009] In order to solve the above problems, for example, the configurations described in the claims are adopted. The present application includes multiple means for solving the above-mentioned problems, and one example thereof is an elevator diagnostic system comprising a measurement data acquisition unit that acquires measurement data from equipment equipped on an elevator, a data storage unit that accumulates the measurement data acquired by the measurement data acquisition unit, a model construction unit that constructs a diagnostic model for diagnosing the state of the elevator based on the measurement data accumulated in the data storage unit, a diagnostic unit that diagnoses the state of the elevator using the diagnostic model constructed by the model construction unit and the measurement data, and a model update determination unit that determines whether the diagnostic model can be updated using intermediate data generated in the process of processing the measurement data with the diagnostic model. [Effects of the Invention]

[0010] According to the present invention, it is possible to appropriately determine whether or not a diagnostic model can be updated, and to diagnose an elevator using an appropriate diagnostic model that has been updated as necessary. Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing a configuration example (example 1) of an elevator diagnostic system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing a configuration example (example 2) of an elevator diagnostic system according to an embodiment of the present invention. [Figure 3] FIG. 2 is a block diagram showing a configuration example (example 3) of an elevator diagnostic system according to an embodiment of the present invention. [Figure 4] FIG. 10 is a block diagram showing a configuration example (example 4) of an elevator diagnostic system according to an embodiment of the present invention. [Figure 5] 3 is a flowchart illustrating an example of a diagnostic process of the elevator diagnostic system according to the embodiment of the present invention. [Figure 6] 3 is a diagram showing an example (example 1) of intermediate data handled by the elevator diagnostic system according to the embodiment of the present invention. FIG. [Figure 7]FIG. 10 is a diagram showing an example (example 2) of intermediate data handled by the elevator diagnostic system according to the embodiment of the present invention. [Figure 8] FIG. 10 is a diagram showing an example (example 1) of determining whether or not an update is necessary according to an embodiment of the present invention. [Figure 9] FIG. 10 is a diagram showing an example (example 2) of determining whether or not an update is necessary according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] An elevator diagnostic system and an elevator diagnostic method according to one embodiment of the present invention (hereinafter referred to as "this embodiment") will be described below with reference to the accompanying drawings. In each of the drawings described below, the same parts as those described in other drawings will be given the same reference numerals, and duplicated explanations will be omitted.

[0013] [Configuration of elevator diagnostic system (example 1)] FIG. 1 shows the configuration of an elevator diagnostic system 10 of this embodiment. The elevator diagnostic system 10 of this example is a system that diagnoses the presence or absence of abnormalities based on elevator measurement data, etc., and is installed, for example, in a center that monitors elevators. However, providing the elevator diagnostic system 10 of this example in a center that monitors elevators is just one example, and the elevator diagnostic system 10 of this example may also be provided in a control device that controls the elevator, for example.

[0014] The elevator diagnostic system 10 of this example includes a measurement data acquisition unit 11, a data accumulation unit 12, a model construction unit 13, a diagnostic model holding unit 14, a diagnosis unit 15, an intermediate data holding unit 16, a model update determination unit 17, a display unit 18, a model construction measurement data holding unit 19, and a model update determination measurement data holding unit 20.

[0015] The measurement data acquisition unit 11 performs a process (measurement data acquisition process) to acquire measurement data from sensors installed in various parts of the elevator (not shown) to be monitored. The sensors are installed, for example, in the elevator shaft where the elevator ascends and descends, in the car, at the landing, in the machine room, etc. The sensors installed in various parts include sensors that measure various elevator operations, such as distance sensors, weight sensors, current sensors, voltage sensors, and sensors that measure time.

[0016] The data storage unit 12 performs a process of storing the measurement data acquired by the measurement data acquisition unit 11 (data storage process). The model construction unit 13 performs a process (model construction process) of constructing (creating) a diagnostic model of the elevator to be monitored based on the measurement data accumulated by the data accumulation unit 12. For example, the model construction unit 13 constructs a diagnostic model for diagnosing the presence or absence of an abnormality in the elevator to be monitored, deterioration of each component constituting the elevator, etc. The diagnostic model is constructed based on the types of measurement data accumulated by the data accumulation unit 12 and changes in each measurement data over a certain period of time. When the model construction unit 13 constructs the diagnostic model, it may use machine learning, for example.

[0017] The diagnostic model holding unit 14 holds the diagnostic model constructed by the model construction unit 13 . The diagnostic unit 15 uses the diagnostic model stored in the diagnostic model storage unit 14 to perform diagnostic processing on the measurement data acquired by the measurement data acquisition unit 11, and performs diagnosis of the presence or absence of abnormalities in the elevator and deterioration of each part, etc.

[0018] The intermediate data holding unit 16 holds intermediate data when the diagnosing unit 15 performs a diagnosis. That is, the intermediate data holding unit 16 holds data in the middle of calculation that is converted from a plurality of measurement data in order to diagnose a condition by the diagnosing unit 15. For example, when a machine learning model is used for diagnosis by the diagnosing unit 15, the intermediate data holding unit 16 holds data (intermediate data) obtained in a determination process that is at least one stage before the process that ultimately determines the presence or absence of an abnormality using the machine learning model.

[0019] The model construction measurement data holding unit 19 holds the measurement data used when the model construction unit 13 constructs a diagnostic model. The model update determination measurement data holding unit 20 holds the measurement data used for determining whether or not the diagnostic model needs to be updated when the determination is made.

[0020] The model update determination unit 17 determines whether the diagnostic model needs to be updated. Here, the determination of whether the diagnostic model needs to be updated is made based on the intermediate data stored in the intermediate data storage unit 16, the measurement data stored in the model construction measurement data storage unit 19 during diagnostic model construction, and the measurement data stored in the model update determination measurement data storage unit 20. The display unit 18 displays the results of the diagnosis made by the diagnosis unit 15. The display unit 18 also displays the results of the model update determination unit 17 determining whether or not the diagnostic model needs to be updated.

[0021] The elevator diagnostic system 10 described so far can be configured by a computer (information processing device), for example, as shown in the lower part of FIG. 1, the computer serving as the elevator diagnostic system 10 is composed of a CPU (Central Processing Unit) 101, memory 102, storage 103, input unit 104, communication interface (I / F) 105, and display unit 18. These components are connected to each other via a bus line so that data can be transferred between them.

[0022] The CPU 101 causes the memory 102 to execute a program stored in the memory 102 or the storage 103. As a result, the memory 102 is configured with various processing function units such as the model construction unit 13, the diagnosis unit 15, and the model update determination unit 17 described above. The storage 103 is a data storage unit that stores measurement data, diagnostic models, etc. In other words, the storage 103 constitutes the above-mentioned data accumulation unit 12, diagnostic model storage unit 14, etc. The memory 102 or the storage 103 also stores programs that execute various processes in the elevator diagnostic system 10.

[0023] The input unit 104 executes input processing of elevator measurement data, etc. The input unit 104 also executes processing of accepting operation inputs from an operator who operates the elevator diagnostic system 10. When the elevator to be monitored is located away from the installation location of the elevator diagnostic system 10, the communication interface 105 acquires measurement data and the like via a predetermined communication network. The display unit 18 displays the execution results of the processing function units configured in the memory 102.

[0024] Note that the elevator diagnostic system 10 being configured with such a single computer is just one example, and for example, the device that creates the diagnostic model and the device that displays the diagnostic results and whether or not updates have been made may each be separate devices (terminals).

[0025] [Configuration of elevator diagnostic system (example 2)] FIG. 2 shows the configuration of an elevator diagnostic system 10a which is another example different from that shown in FIG. The elevator diagnostic system 10a shown in FIG. 2 differs from the elevator diagnostic system 10 shown in FIG. 1 in that it includes a data conversion unit 21 and a data acquisition unit 22 relating to elevators and buildings.

[0026] The elevator and building data acquisition unit 22 acquires data related to the elevator, such as the model and operation history of the elevator to be monitored, and data related to the building, such as the specifications and pedestrian flow of the building in which the elevator is installed. A specific example of the elevator and building data acquisition unit 22 will be described later with reference to FIG. 4.

[0027] The data acquired by the data acquisition unit 22 regarding the elevators and the building is supplied to the data conversion unit 21. In addition, the diagnostic model held by the diagnostic model holding unit 14, the measurement data held by the measurement data holding unit 19 during model construction, the intermediate data held by the intermediate data holding unit 16, and the measurement data held by the measurement data holding unit 20 during model update determination are also supplied to the data conversion unit 21.

[0028] The data conversion unit 21 extracts at least two pieces of data from the acquired data as data for model update determination, and converts them into data for determination by the model update determination unit 17. The number of pieces of data extracted by the data conversion unit 21 needs to be two or more, but the data conversion unit 21 may extract and convert all of the data. The model update determination unit 17 determines whether or not the diagnostic model needs to be updated based on the data converted by the data conversion unit 21, and causes the display unit 18 to display the result of the determination. Other configurations of the elevator diagnostic system 10a are the same as those of the elevator diagnostic system 10 shown in FIG.

[0029] [Configuration of elevator diagnostic system (Example 3)] FIG. 3 shows the configuration of yet another example of an elevator diagnostic system 10b. The elevator diagnostic system 10b shown in FIG. 3 differs from the elevator diagnostic system 10a shown in FIG. 2 in that it includes a data visualization unit 23 and an input unit 104.

[0030] The data visualization unit 23 displays the data extracted and converted by the data conversion unit 21. The display unit 18 may also function as the data visualization unit 23. The input unit 104 receives an input operation indicating whether or not the diagnostic model should be updated from an operator who operates the elevator diagnostic system 10b. The operator checks the display on the data visualization unit 23, determines whether or not the diagnostic model should be updated, and then executes the input operation.

[0031] The input operation information, which is received by the input unit 104 and indicates whether or not the diagnostic model should be updated, is supplied to the model update determination unit 17. When the model update determination unit 17 receives an input operation from the operator to update the diagnostic model, it determines whether or not to update the diagnostic model based on the data supplied from the data conversion unit 21. Other configurations of the elevator diagnostic system 10b are the same as those of the elevator diagnostic system 10a shown in FIG.

[0032] [Configuration of elevator diagnostic system (Example 4)] FIG. 4 shows the configuration of yet another example of an elevator diagnostic system 10c. Compared to elevator diagnostic system 10b shown in Fig. 3, elevator diagnostic system 10c shown in Fig. 4 includes elevator work history data acquisition unit 31, building work history and construction history data acquisition unit 32, and building sensor data acquisition unit 33. Furthermore, elevator diagnostic system 10c includes building specification data acquisition unit 34 and building people flow data acquisition unit 35.

[0033] These acquisition units 31 to 35 are specific examples of data acquired by the elevator- and building-related data acquisition unit 22 included in the elevator diagnostic system 10c shown in FIGS. That is, the elevator work history data acquisition unit 31 acquires work history data of the elevator to be monitored. The building work history and construction history data acquisition unit 32 acquires data on the work history and construction history carried out in the building in which the elevator to be monitored is installed. The sensor data acquisition unit 33 installed in the building acquires data from various sensors installed in the building where the elevator to be monitored is installed. The sensor data here may be sensor data that detects temperature, for example, or sensor data obtained from images captured by a surveillance camera.

[0034] The building specification data acquisition unit 34 acquires specification data of the building that the elevator to be monitored is installed in. For example, the building specification data acquisition unit 34 acquires building specification data related to the operation status of the elevator, such as the types of tenants occupying each floor of the building. The building people flow data acquisition unit 35 acquires data on people flow on each floor of the building where the monitored elevator is installed and data on people flow between each floor. This allows the elevator diagnostic system 10c shown in Figure 4 to determine the operating status of the elevator based on the building people flow data. Other configurations of the elevator diagnostic system 10c are the same as those of the elevator diagnostic system 10b shown in FIG.

[0035] [Example of diagnostic model update process] Fig. 5 is a flowchart showing the flow of diagnostic model update processing performed in the elevator diagnostic system 10 of this example. Note that, in the following description, it is described that the update processing is performed in the elevator diagnostic system 10, but the update processing shown in Fig. 5 may be performed in any of the configurations of the elevator diagnostic systems 10, 10a, 10b, and 10c of the four examples shown in Figs. 1 to 4.

[0036] First, the diagnostic unit 15 of the elevator diagnostic system 10 uses the diagnostic model stored in the diagnostic model storage unit 14 to perform a diagnosis of whether or not there is an abnormality in the elevator from the current measurement data acquired by the measurement data acquisition unit 11 (step S11). Then, the model update determination unit 17 determines whether the diagnosis result from the diagnosis unit 15 is normal (no abnormality) or not (step S12). If the diagnosis result is normal in step S12 (YES in step S12), the model update determination unit 17 compares the data held by the model construction measurement data holding unit 19 with the measurement data of other elevators and determines whether there are any changes (step S13).

[0037] In step S13, if there is no change in comparison with the measurement data of other elevators (YES in step S13), the model update determination unit 17 determines that updating of the diagnostic model is not necessary (step S17). Furthermore, if there is any difference from the measurement data of other elevators in step S13 (NO in step S13), the model update determination unit 17 determines whether it is appropriate for the data to be different from the data of other elevators based on data such as the elevator installation environment (step S14). If it is appropriate for the data to be different from the data of other elevators in step S14 (YES in step S14), the model update determination unit 17 proceeds to step S17 and determines that updating of the diagnostic model is not necessary.

[0038] Furthermore, if the diagnosis result is not normal in step S12 (NO in step S12), the model update determination unit 17 determines whether the measurement data at the time of model construction and the current measurement data have the same tendency (step S15). The measurement data at the time of model construction is data held by the model construction measurement data holding unit 19, and the current measurement data is data held by the model update determination measurement data holding unit 20. If it is determined in step S15 that the data have the same tendency (YES in step S15), the model update determination unit 17 proceeds to step S17 and determines that updating of the diagnostic model is not necessary.

[0039] When it is determined in step S15 that the data do not have the same tendency (NO in step S15), the model update determination unit 17 determines whether or not a sufficient amount of data necessary for constructing a new diagnostic model has been collected (step S16). Also, when it is determined in step S14 that it is not appropriate for the data to be different from that of other elevators (NO in step S14), the model update determination unit 17 proceeds to step S16 and determines whether or not a sufficient amount of data necessary for constructing a new diagnostic model has been collected.

[0040] When it is determined in step S16 that sufficient data necessary for constructing a new diagnostic model has been collected (YES in step S16), the model update determination unit 17 determines that a diagnostic model update is required (step S18). When the model update determination unit 17 determines that a diagnostic model update is required, the model construction unit 13 executes construction of a new diagnostic model of the elevator from the current measurement data.

[0041] Furthermore, when it is determined in step S16 that sufficient data necessary for constructing a new diagnostic model has not been collected (NO in step S16), the model update determination unit 17 determines that updating of the diagnostic model is to be postponed (step S19). When it is determined in step S19 that updating of the diagnostic model is to be postponed, the update determination process of the flowchart in Fig. 5 is executed again after a certain period of time (for example, after one month). The information on whether update is not required, whether update is required, or whether update is pending in steps S17, S18, and S19 is displayed, for example, on the display unit 18. This notifies the operator of the status of whether update is not required, whether update is required, or whether update is pending.

[0042] Furthermore, when performing visualization in the data visualization unit 23 described in Figure 3 and confirmation in the input unit 104, the operator can make these confirmations, for example, by determining whether there are any changes in step S13, determining whether the data is valid in step S14, and determining whether the data can be considered to have the same trend in step S15. This allows the operator to update the diagnostic model after performing the various checks described above.

[0043] [Example of intermediate model] 6 and 7 show examples of intermediate models handled by the intermediate data storage unit 16. FIG. 6 and 7, the horizontal axis represents the value of the first intermediate data, and the vertical axis represents the value of the second intermediate data. 6, data d0 indicated by white circles is the distribution of intermediate data used when creating the diagnostic model, and data d1 indicated by black circles is intermediate data used when determining whether to update the model.

[0044] 6, when the distribution of the intermediate data d1 at the time of model update determination is not different from that of the intermediate data d0 used in creating the diagnostic model, the model update determination unit 17 determines that update is unnecessary. On the other hand, when the intermediate data d1 at the time of model update determination is a value different from that of the intermediate data d0 used in creating the diagnostic model, the model update determination unit 17 determines that update is necessary.

[0045] 7 compares the average d-ave of the intermediate data at the time of model update determination with the intermediate data d1 at the time of model update determination. In this way, by calculating the average d-ave of the intermediate data at the time of model update determination and then comparing it with the intermediate data d1 at the time of model update determination, the model update determination unit 17 can more accurately determine whether an update is necessary.

[0046] [Example of determining whether or not an update is necessary] 8 and 9 are diagrams showing examples in which the model update determination unit 17 makes three determinations based on the degree of change in each piece of data: no update necessary, update necessary, or update postponed. In Figure 8, the vertical axis shows the degree of change in the data itself, the horizontal axis shows the degree of change in the elevator measurement data, and the diagonal axis shows the degree of change in the building environment. Figure 8 shows these three degrees in three dimensions.

[0047] The model update determination unit 17 determines that updating of the diagnostic model is unnecessary when the three degrees of change shown in Fig. 8 are small. The model update determination unit 17 also determines that updating of the diagnostic model is necessary when the three degrees of change shown in Fig. 8 are large in region α. ​​Furthermore, the model update determination unit 17 determines that updating of the diagnostic model is postponed when the three degrees of change shown in Fig. 8 are large in region β where the degree of change in the data itself is relatively large and the degree of change in the elevator measurement data and the degree of environmental change in the building are relatively small.

[0048] FIG. 9 shows an example in which the model update determination unit 17 determines whether to update based on two elements: the degree of environmental change in the building (vertical axis) and the degree of change in the elevator measurement data (horizontal axis). As shown in FIG. 9, in the range X1 where the degree of environmental change in the building is small and the degree of change in the elevator measurement data is also small, the model update determination unit 17 determines that update is not necessary. On the other hand, as shown in Figure 9, in range X2 where the degree of environmental change in the building is relatively large and the degree of change in the elevator measurement data is also relatively large, the model update determination unit 17 manually determines the amount of change in data such as measurement data and then determines whether an update is necessary. In other words, when both the building data and the elevator data change, it is preferable that an operator determines the display on the data visualization unit 23 or the like, and then the model update determination unit 17 determines whether an update is necessary. Then, when the amount of change in the data is small compared to the appropriate changes in the building and elevator data, the model update determination unit 17 updates the diagnostic model and redefines the state that can be determined to be normal.

[0049] Furthermore, as shown in Fig. 9, when the degree of environmental change in the building is very large or the degree of change in the elevator measurement data is very large in a range X3, the model update determination unit 17 suspends the update. In other words, when there are moderate changes in the building or elevator data, it is preferable for the model update determination unit 17 to suspend the update. During this suspension, the model update determination unit 17 determines whether an update is necessary by looking at changes in the measurement data over a certain period of time, etc. For example, in the case of some temporary environmental change or a temporary increase in the elevator operation status, the model update determination unit 17 determines whether an update is necessary by looking at whether the change returns to the original state or whether the change continues.

[0050] As described above, the elevator diagnostic system 10 of this embodiment can automatically and appropriately update the diagnostic model for diagnosing the presence or absence of elevator failures and component deterioration. In this example, as shown in Figure 2, data related to the elevator and the building is acquired, and the model update determination unit 17 can make an appropriate update decision for the diagnostic model, taking into consideration not only the fluctuations in the values ​​of the measurement data of the elevator (elevator), but also the usage status of the elevator and the status of the building in which the elevator is installed.

[0051] For example, when the model update determination unit 17 measures the operating sound of an elevator as measurement data and diagnoses whether or not there is an abnormality based on the measured operating sound, if the noise level at the elevator installation location changes due to building usage conditions or construction work, the model update determination unit 17 can update the diagnostic model appropriately taking into account the change.

[0052] In addition, if a data visualization unit 23 is provided and the operator checks the status of each piece of data, the model update determination unit 17 can prevent the diagnostic model from being updated due to temporary changes in elevator usage, etc.

[0053] Furthermore, by using elevator operation history data, building operation history and construction history data, building sensor data, building specification data, and building people flow data as data related to elevators and buildings, as shown in Figure 4, the model update determination unit 17 can determine whether or not the diagnostic model needs to be updated depending on the actual usage status of the elevator and building.

[0054] For example, when measuring the operating sound of an elevator and diagnosing whether or not there is an abnormality based on the measured operating sound, if the level of the measured operating sound increases and coincides with a period in the work history or construction history during which work or the like was being carried out, the model update determination unit 17 can determine that an update is not necessary. Furthermore, by using the building's pedestrian flow data when determining whether or not the diagnostic model needs to be updated, the model update determination unit 17 can make an appropriate decision that an update is not necessary even in cases where the increase or decrease in the building's pedestrian flow is roughly equal to the trend in the measurement data.

[0055] [Variations] The embodiment examples described so far have been described in detail to clearly explain the present invention, and are not necessarily limited to those having all of the configurations described. 1 to 4, only the control lines and information lines that are considered necessary for explanation are shown, and not all control lines and information lines in the product are necessarily shown. In reality, it can be assumed that almost all components are interconnected. Furthermore, the flow of processing shown in the flowchart of FIG. 5 is also an example, and as long as the processing results are the same, the order of some of the processing may be changed or multiple processes may be executed simultaneously.

[0056] In addition, in the above-described embodiment, the system is configured to determine whether or not the diagnostic model of an elevator, which is an example of an elevator, can be updated, but the system may be configured to determine whether or not the diagnostic model of another elevator can be updated, for example, a system may be configured to determine whether or not the diagnostic model of a staircase elevator can be updated.

[0057] 1 to 4 is executed by a program installed in memory 102 or storage 103 shown in Fig. 1, and the elevator diagnostic system can be made to function by installing the corresponding program in a general-purpose information processing device (computer). In this case, the program may be prepared in the memory of the information processing device as the elevator diagnostic system, or may be stored and transferred on a recording medium such as an external memory, IC card, SD card, or optical disk. Furthermore, part or all of the elevator diagnostic system may be realized by dedicated hardware such as an FPGA (Field Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit). [Explanation of symbols]

[0058] 10, 10a, 10b, 10c... Elevator diagnostic system, 11... Measurement data acquisition unit, 12... Data accumulation unit, 13... Model construction unit, 14... Diagnostic model storage unit, 15... Diagnosis unit, 16... Intermediate data storage unit, 17... Model update determination unit, 18... Display unit, 19... Measurement data storage unit during model construction, 20... Measurement data storage unit during model update determination, 21... Data conversion unit, 22... Data acquisition unit, 23... Data visualization unit, 31... Work history data acquisition unit, 32... Construction history data acquisition unit, 33... Sensor data acquisition unit, 34... Specification data acquisition unit, 35... People flow data acquisition unit, 101... CPU, 102... Memory, 103... Storage, 104... Input unit, 105... Communication interface

Claims

1. a measurement data acquisition unit that acquires measurement data from devices provided in the elevator; a data storage unit that stores the measurement data acquired by the measurement data acquisition unit; a model construction unit that constructs a diagnostic model for diagnosing a state of the elevator based on the measurement data stored in the data storage unit; a diagnosis unit that diagnoses the state of the elevator using the diagnostic model constructed by the model construction unit and the measurement data; a model update determination unit that determines whether or not the diagnostic model can be updated using intermediate data generated in a process for processing the measurement data with the diagnostic model. Elevator diagnostic system.

2. The model update determination unit performs a determination using the measurement data used when constructing the diagnostic model to be updated and the measurement data used when making the update determination. The elevator diagnostic system of claim 1 .

3. The model update determination unit determines whether or not the model should be updated based on at least two of the measurement data used when constructing the diagnostic model to be updated, the measurement data used when making the update determination, the measurement data used when making a past update determination, data related to the elevator other than the measurement data of the elevator from which the measurement data was acquired, and data related to the building in which the elevator is installed. The elevator diagnostic system of claim 2 .

4. a data visualization unit that visualizes the data acquired by the model update determination unit, The model update determination unit makes a determination after manually checking the data visualized by the data visualization unit. The elevator diagnostic system according to claim 3 .

5. The model update determination unit makes three types of determinations: to update the diagnostic model, not to update it, or to postpone the decision on updating it. The elevator diagnostic system according to claim 3 .

6. The data used for the model update determination unit to make a determination includes elevator work history data. The elevator diagnostic system according to claim 3 .

7. The data used by the model update determination unit for determination includes history data of work or construction of the building in which the elevator is installed. The elevator diagnostic system according to claim 3 .

8. The data relating to the installation environment of the elevator is measurement data of a sensor provided in the building in which the elevator is installed. The elevator diagnostic system according to claim 3 .

9. The data relating to the installation environment of the elevator is data relating to the specifications of the building in which the elevator is installed. The elevator diagnostic system according to claim 3 .

10. The data relating to the installation environment of the elevator is data on the flow of people in the building where the elevator is installed. The elevator diagnostic system according to claim 3 .

11. a measurement data acquisition process for acquiring measurement data from devices provided in the elevator; a data accumulation process for accumulating the measurement data acquired by the measurement data acquisition process; a model construction process for constructing a diagnostic model for diagnosing a state of the elevator based on the measurement data accumulated by the data accumulation process; a diagnostic process for diagnosing the state of the elevator using the diagnostic model constructed by the model construction process and the measurement data; and a model update determination process for determining whether or not the diagnostic model can be updated using intermediate data generated in a process for processing the measurement data with the diagnostic model. Elevator diagnostic methods.

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