Elevator diagnostic system and elevator diagnostic method

Abstract

The invention provides an elevator diagnosis system and an elevator diagnosis method, which can construct an appropriate diagnosis model on the basis of considering various state changes of an elevator. The elevator diagnosis system comprises: a measurement data acquisition unit (11) for acquiring measurement data from equipment of an elevator; a data accumulation unit (12) that accumulates the measurement data acquired by the measurement data acquisition unit (11); a model construction unit (13) that constructs a diagnostic model for diagnosing the state of the elevator on the basis of the measurement data accumulated in the data accumulation unit (12); a diagnosis unit (15) that diagnoses the state of the elevator using the diagnosis model constructed by the model construction unit (13) and the measurement data; and a model update determination unit (17) that determines whether or not the diagnostic model can be updated, using intermediate data generated during a processing procedure for processing the measurement data by the diagnostic model.

Description

Technical Field

[0001] The present invention relates to an elevator diagnosis system and an elevator diagnosis method. Background Art

[0002] Elevators, such as elevators, are equipped with systems that use sensors installed in various parts to diagnose abnormalities and component degradation using sensor data. These diagnostic systems can diagnose abnormalities simply based on numerical values, while others diagnose abnormalities based on the elevator's installation conditions.

[0003] Being able to diagnose the presence or absence of an abnormality by the magnitude of a numerical value means that the state is directly represented by a numerical value, such as the deviation of the elevator car floor when the elevator car stops at each floor, the opening and closing time of the door, etc.

[0004] On the other hand, as a system for diagnosing the presence of abnormalities based on the installation status of the elevator, there is a system that detects the operating sounds of various parts of the elevator and analyzes the operating sounds to diagnose the presence of abnormalities.

[0005] The system analyzes the operating sounds of various parts of the elevator to perform diagnostics. The operating sounds vary depending on the elevator model. In addition, even for the same model, the operating sounds may vary depending on the installation environment of the elevator.

[0006] Therefore, in order to diagnose the status of an elevator using the detection data of the sensor, it is necessary to construct an appropriate diagnosis model for each elevator.

[0007] Patent Document 1 describes a technique for appropriately updating a diagnosis model (machine learning model) used in maintenance work or the like.

[0008] The main causes of changes in sensor input data generated by an elevator include, in addition to changes caused by equipment anomalies, state changes due to maintenance work and state changes due to disturbances other than maintenance work. Therefore, the diagnostic model for diagnosing the elevator's state needs to account for these state changes.

[0009] That is, the state change caused by maintenance work refers to, for example, changes in data due to replacement or adjustment of equipment, and the state change caused by interference other than maintenance work includes, for example, changes in the noise environment caused by changes in surrounding facilities.

[0010] 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 phenomena that should be detected as abnormalities. Therefore, in the diagnostic model for diagnosing the state of the elevator, it is necessary to construct a diagnostic model that does not diagnose the elevator as abnormal even if these changes occur.

[0011] However, it has been difficult to automatically construct a diagnostic model that takes such state changes into account, and as a result, maintenance personnel and the like have been required to manually determine abnormalities.

[0012] Patent Document 1: Japanese Patent Application Laid-Open No. 2023-2103 Summary of the Invention

[0013] In view of these problems, the present invention aims to provide an elevator diagnostic system and an elevator diagnostic method capable of constructing an appropriate diagnostic model that takes into account various state changes of the elevator.

[0014] In order to solve the above-mentioned problems, for example, the configuration described in the scope of claims is adopted.

[0015] The present application includes multiple means for solving the above-mentioned problems. If one example is cited, it is an elevator diagnostic system comprising: a measurement data acquisition unit, which acquires measurement data from a device possessed by the elevator; a data accumulation unit, which accumulates the measurement data acquired by the measurement data acquisition unit; a model construction unit, which constructs a diagnostic model for diagnosing the state of the elevator based on the measurement data accumulated in the data accumulation unit; a diagnostic unit, which uses the diagnostic model constructed by the model construction unit and the measurement data to diagnose the state of the elevator; and a model update determination unit, which uses intermediate data generated in the processing process for processing the measurement data by the diagnostic model to determine whether the diagnostic model can be updated.

[0016] According to the present invention, it is possible to appropriately determine whether or not the diagnostic model can be updated, and to perform elevator diagnosis using the appropriate diagnostic model that has been updated as necessary.

[0017] Other problems, structures, and effects than those described above will become clear from the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a block diagram showing a configuration example (Example 1) of an elevator diagnostic system according to an embodiment of the present invention.

[0019] Figure 2 This is a block diagram showing a configuration example (Example 2) of an elevator diagnostic system according to an embodiment of the present invention.

[0020] Figure 3 This is a block diagram showing a configuration example (Example 3) of an elevator diagnostic system according to an embodiment of the present invention.

[0021] Figure 4 This is a block diagram showing a configuration example (Example 4) of an elevator diagnostic system according to an embodiment of the present invention.

[0022] Figure 5This is a flowchart showing an example of diagnostic processing of the elevator diagnostic system according to one embodiment of the present invention.

[0023] Figure 6 This is a diagram showing an example (Example 1) of intermediate data processed by the elevator diagnostic system according to one embodiment of the present invention.

[0024] Figure 7 This is a diagram showing an example (Example 2) of intermediate data processed by the elevator diagnostic system according to one embodiment of the present invention.

[0025] Figure 8 This is a diagram showing an example (Example 1) of determining whether or not update is necessary according to one embodiment of the present invention.

[0026] Figure 9 This is a diagram showing an example (Example 2) of determining whether or not update is necessary according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] Hereinafter, an elevator diagnostic system and an elevator diagnostic method according to an embodiment of the present invention (hereinafter referred to as "this embodiment") will be described with reference to the accompanying drawings. Furthermore, in each of the drawings described below, identical reference numerals are assigned to portions identical to those described in other drawings, and duplicate descriptions are omitted.

[0028] [Structure of an elevator diagnostic system (Example 1)]

[0029] Figure 1 The configuration of the elevator diagnostic system 10 of this example is shown.

[0030] The elevator diagnostic system 10 of this embodiment is a system that diagnoses the presence of abnormalities based on elevator measurement data, and is installed, for example, at a center that monitors elevators. However, the presence of the elevator diagnostic system 10 of this embodiment at the center that monitors elevators is merely an example, and the elevator diagnostic system 10 of this embodiment may also be installed in a control device that controls the elevator.

[0031] The elevator diagnostic system 10 of this example includes: a measurement data acquisition unit 11, a data storage unit 12, a model construction unit 13, a diagnostic model storage unit 14, a diagnosis unit 15, an intermediate data storage unit 16, a model update determination unit 17, a display unit 18, a measurement data storage unit 19 during model construction, and a measurement data storage unit 20 during model update determination.

[0032] The measurement data acquisition unit 11 acquires measurement data from sensors installed in various parts of an elevator (not shown) to be monitored (measurement data acquisition processing). Sensors are installed in, for example, the elevator shaft, car, landing, and machine room. These sensors include distance sensors, weight sensors, current sensors, voltage sensors, time sensors, and other sensors that measure various elevator movements.

[0033] The data storage unit 12 performs a process (data storage process) of storing the measurement data acquired by the measurement data acquisition unit 11 .

[0034] The model building unit 13 performs a process (model building process) of building (creating) a diagnostic model for the elevator being monitored based on the measurement data accumulated by the data storage unit 12. For example, the model building unit 13 builds a diagnostic model for diagnosing the presence of abnormalities in the elevator being monitored, deterioration of various components constituting the elevator, and the like.

[0035] 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 within a fixed period. When the model construction unit 13 constructs the diagnostic model, for example, machine learning may be used.

[0036] The diagnosis model holding unit 14 holds the diagnosis model constructed by the model constructing unit 13 .

[0037] The diagnosis unit 15 uses the diagnosis model held by the diagnosis model holding unit 14 to perform diagnosis processing on the measurement data acquired by the measurement data acquiring unit 11, and diagnoses the presence of abnormality in the elevator, deterioration of various parts, and the like.

[0038] The intermediate data storage unit 16 stores intermediate data generated during the diagnosis performed by the diagnosis unit 15. Specifically, the intermediate data storage unit 16 stores data that has been converted during calculations for the diagnosis of the condition by the diagnosis unit 15 based on a plurality of measurement data. For example, when a machine learning model is used for diagnosis by the diagnosis unit 15, the intermediate data storage unit 16 stores data (intermediate data) obtained from at least one stage of determination processing prior to the final determination of the presence or absence of an abnormality by the machine learning model.

[0039] When a diagnosis model is constructed by the model construction unit 13 , the model construction measurement data storage unit 19 stores measurement data used when creating the diagnosis model.

[0040] When determining whether or not the diagnosis model needs to be updated, the model update determination measurement data storage unit 20 stores the measurement data used in the determination.

[0041] The model update determination unit 17 determines whether the diagnostic model has been updated. This determination is made based on the intermediate data held by the intermediate data storage unit 16, the measurement data held by the model construction measurement data storage unit 19, and the measurement data held by the model update determination measurement data storage unit 20.

[0042] The display unit 18 displays the diagnosis result by the diagnosis unit 15. The display unit 18 also displays the result of the determination by the model update determination unit 17 whether the diagnosis model has been updated.

[0043] Furthermore, the elevator diagnostic system 10 described so far is, for example, Figure 1 As shown on the lower side of , it can be composed of a computer (information processing device).

[0044] That is, Figure 1 As shown, the computer of the elevator diagnostic system 10 comprises a CPU (Central Processing Unit) 101, a memory 102, a storage device 103, an input unit 104, a communication interface (I / F) 105, and a display unit 18. These components are connected via a bus so as to be able to transfer data to each other.

[0045] The CPU 101 executes the program stored in the memory 102 or the storage device 103 in the memory 102. Thus, the above-mentioned processing function units such as the model construction unit 13, the diagnosis unit 15, and the model update determination unit 17 are configured in the memory 102.

[0046] The storage device 103 is a data storage unit that stores measurement data, diagnostic models, etc. Specifically, the storage device 103 constitutes the aforementioned data accumulation unit 12 , diagnostic model storage unit 14 , etc. Furthermore, the memory 102 or the storage device 103 stores programs that execute various processes in the elevator diagnostic system 10 .

[0047] The input unit 104 performs input processing of elevator measurement data, etc. In addition, the input unit 104 performs processing of accepting operation input from an operator who operates the elevator diagnostic system 10 .

[0048] When the elevator to be monitored is far 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.

[0049] The display unit 18 displays the execution results of the processing function units configured in the memory 102 .

[0050] The fact that the elevator diagnostic system 10 is constituted by such a single computer is merely an example, and for example, the device for creating a diagnostic model and the device for displaying diagnostic results, the presence or absence of updates, etc. may be separate devices (terminals).

[0051] [Structure of an elevator diagnostic system (Example 2)]

[0052] Figure 2 Represents Figure 1 The structure of the elevator diagnostic system 10a of a different example.

[0053] Figure 2 The elevator diagnostic system 10a shown is Figure 1 The elevator diagnostic system 10 shown in the figure is different in that it includes a data conversion unit 21 and an elevator and building-related data acquisition unit 22.

[0054] The data acquisition unit 22 related to elevators and buildings acquires data related to the elevators such as the model and operation history of the elevators to be monitored, and data related to the buildings (buildings) where the elevators are installed, such as the specifications and the flow of people. Figure 4 This will be described later.

[0055] The data acquired by the data acquisition unit 22 regarding the elevator and the building is supplied to the data conversion unit 21 .

[0056] 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 judgment are also supplied to the data conversion unit 21.

[0057] The data conversion unit 21 extracts at least two data items from each acquired data item as data items for model update determination, and converts the data items into data items for determination by the model update determination unit 17. The data conversion unit 21 only needs to extract two or more data items, but the data conversion unit 21 may also extract all data items for conversion.

[0058] The model update determination unit 17 determines whether the diagnosis model has been updated based on the data converted by the data conversion unit 21 , and displays the determination result on the display unit 18 .

[0059] Other structures and Figure 1 The elevator diagnostic system 10 shown is identical.

[0060] [Structure of an elevator diagnostic system (Example 3)]

[0061] Figure 3 The structure of another example of an elevator diagnostic system 10b is shown.

[0062] Figure 3 The elevator diagnostic system 10b shown is Figure 2 Compared to the elevator diagnostic system 10 a shown in FIG. 1 , the system is different in that it includes a data visualization unit 23 and an input unit 104 .

[0063] The data visualization unit 23 displays the data extracted and converted by the data conversion unit 21. In addition, the display unit 18 may also serve as the data visualization unit 23.

[0064] The input unit 104 receives an input operation from an operator operating the elevator diagnostic system 10b indicating whether the diagnostic model can be updated. The operator checks the display on the data visualization unit 23, determines whether the diagnostic model can be updated, and performs the input operation.

[0065] The input operation information indicating whether the diagnostic model can be updated received by the input unit 104 is provided to the model update determination unit 17. When receiving the input operation for updating the diagnostic model from the operator, the model update determination unit 17 determines whether the diagnostic model should be updated based on the data supplied from the data conversion unit 21.

[0066] Other structures and Figure 2 The elevator diagnostic system 10a shown is identical.

[0067] [Structure of an elevator diagnostic system (Example 4)]

[0068] Figure 4 A configuration of another example of an elevator diagnostic system 10c is shown.

[0069] Figure 4 The elevator diagnostic system 10c shown is Figure 3 Compared to the elevator diagnostic system 10b shown, the elevator diagnostic system 10c includes an elevator operation history data acquisition unit 31, a building operation history and construction history data acquisition unit 32, and a building sensor data acquisition unit 33. Furthermore, the elevator diagnostic system 10c includes a building specification data acquisition unit 34 and a building passenger flow data acquisition unit 35.

[0070] These acquisition units 31 to 35 indicate Figure 2 as well as Figure 3 The elevator diagnostic system 10c shown is a specific example of data acquired by the data acquisition unit 22 related to elevators and buildings.

[0071] That is, the elevator operation history data acquisition unit 31 acquires the data of the operation history of the elevator to be monitored.

[0072] The building operation history and construction history data acquisition unit 32 acquires data on operation history and construction history performed in a building (structure) in which an elevator to be monitored is installed.

[0073] The building sensor data acquisition unit 33 acquires data from various sensors in the building where the elevator to be monitored is installed. The sensor data here may be, for example, sensor data obtained from images obtained by a monitoring camera, in addition to sensor data detecting temperature, etc.

[0074] The building specification data acquisition unit 34 acquires specification data of the building where the elevator to be monitored is installed. For example, the building specification data acquisition unit 34 acquires building specification data related to the operating status of the elevator, such as the types of tenants living on each floor of the corresponding building.

[0075] The building passenger flow data acquisition unit 35 acquires the passenger flow data of each floor of the building where the elevator to be monitored is installed, and the passenger flow data between each floor. Figure 4 The elevator diagnostic system 10c shown can determine the operating status of the elevator based on the passenger flow data of the building.

[0076] Other structures and Figure 3 The elevator diagnostic system 10b shown is the same.

[0077] [Example of Update Processing of Diagnosis Model]

[0078] Figure 5 1 is a flowchart showing the process of updating the diagnostic model in the elevator diagnostic system 10 of this example. In the following description, the update process is described as being performed in the elevator diagnostic system 10, but Figure 5 The update process shown can also be Figures 1 to 4 The above-described four examples of the elevator diagnostic system 10, 10a, 10b, and 10c are implemented in any one of the following structures.

[0079] First, the diagnosis unit 15 of the elevator diagnosis system 10 uses the diagnosis model held by the diagnosis model holding unit 14 to diagnose the presence of abnormality in the elevator based on the current measurement data acquired by the measurement data acquisition unit 11 (step S11).

[0080] Then, the model update determination unit 17 determines whether the diagnosis result of the diagnosis unit 15 is normal (no abnormality) (step S12). If the diagnosis result is normal in step S12 (step S12 Yes), the model update determination unit 17 determines whether the data stored in the measurement data storage unit 19 during model construction has any changes compared to the measurement data of other elevators (step S13).

[0081] In step S13, when there is no point of change compared with the measurement data of other elevators (step S13: Yes), the model update determination unit 17 determines that updating of the diagnosis model is unnecessary (step S17).

[0082] Furthermore, if there is a difference in the measured data relative to the other elevators in step S13 (No in step S13), the model update determination unit 17 determines whether the difference in the data from the other elevators is appropriate based on data such as the elevator's installation environment (step S14). If the difference in the data from the other elevators is appropriate in step S14 (Yes in step S14), the model update determination unit 17 proceeds to step S17 and determines that updating the diagnostic model is not necessary.

[0083] If the diagnosis result is abnormal 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 trend (step S15). The measurement data at the time of model construction is the data stored in the measurement data storage unit 19 at the time of model construction, and the current measurement data is the data stored in the measurement data storage unit 20 at the time of model update determination.

[0084] If it is determined in step S15 that the data has the same tendency (step S15: Yes), the model update determination unit 17 proceeds to step S17 and determines that updating of the diagnosis model is not necessary.

[0085] If it is determined in step S15 that the data does not have the same tendency (step S15 No), the model update determination unit 17 determines whether the data required for constructing the new diagnostic model is sufficient (step S16). In addition, if it is determined in step S14 that the data is different from the data of other elevators and is inappropriate (step S14 No), the model update determination unit 17 also proceeds to step S16 to determine whether the data required for constructing the new diagnostic model is sufficient.

[0086] If it is determined in step S16 that sufficient data is available for constructing a new diagnostic model (Yes in step S16), the model update determination unit 17 determines that an update of the diagnostic model is necessary (step S18). If the model update determination unit 17 determines that an update of the diagnostic model is necessary, the model construction unit 13 constructs a new diagnostic model for the elevator based on the current measurement data.

[0087] In addition, if it is determined in step S16 that the data required for constructing the new diagnostic model is not sufficiently collected (step S16 No), the model update determination unit 17 determines to postpone the update of the diagnostic model (step S19). If it is determined in step S19 that the update of the diagnostic model is postponed, the update is executed again after a certain period of time (for example, one month). Figure 5 Update determination processing of the flowchart.

[0088] Furthermore, the information of whether update is unnecessary, update is necessary, or update is suspended in steps S17, S18, and S19 is displayed on, for example, the display unit 18. Thus, the operator is notified of the status of whether update is unnecessary, update is necessary, or update is suspended.

[0089] In addition, Figure 3 In the case of visualization in the data visualization unit 23 and confirmation in the input unit 104 described in , the operator can, for example, make a judgment as to whether there is a point of change in step S13, a judgment as to whether it is appropriate in step S14, and a judgment as to whether it is considered to have the same tendency in step S15, and can make these confirmations.

[0090] This allows the operator to update the diagnosis model after performing the various checks described above.

[0091] [Example of intermediate model]

[0092] Figure 6 and Figure 7 An example of an intermediate model handled by the intermediate data storage unit 16 is shown.

[0093] Figure 6 and Figure 7 The horizontal axis is the value of the first intermediate data, and the vertical axis is the value of the second intermediate data.

[0094] exist Figure 6 In FIG, data d0 indicated by a white circle is the distribution of intermediate data used in creating the diagnosis model, and data d1 indicated by a black circle is the intermediate data used in determining the model update.

[0095] like Figure 6 As shown, when the distribution of the intermediate data d1 used in the model update determination is the same as that of the intermediate data d0 used in the diagnosis model creation, the model update determination unit 17 determines that an update is not necessary. In contrast, when the intermediate data d1 used in the model update determination deviates from the intermediate data d0 used in the diagnosis model creation, the model update determination unit 17 determines that an update is necessary.

[0096] Figure 7 This graph compares the average d-ave of the intermediate data during model update determination with the intermediate data d1 during model update determination. By calculating the average d-ave of the intermediate data during model update determination and comparing it with the intermediate data d1 during model update determination, the model update determination unit 17 can more accurately determine whether an update is necessary.

[0097] [Example of determining whether an update is necessary]

[0098] Figure 8 as well as Figure 9This figure shows an example of performing three determinations: no updating required, updating required, and updating suspended, based on the degree of change of each data determined by the model update determination unit 17 .

[0099] exist Figure 8 In the figure, the vertical axis represents the degree of change in the data itself, the horizontal axis represents the degree of change in the measurement data of the elevator, and the inclined axis represents the degree of change in the environment in the building. Figure 8 These three levels are shown three-dimensionally.

[0100] The model update determination unit 17 Figure 8 If the three regions with small changes are shown in FIG. 1 , it is determined that the diagnosis model does not need to be updated. Figure 8 In the three regions α where the degree of change is large, it is determined that the diagnosis model needs to be updated. Figure 8 In the 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 change in the building environment is relatively small among the three degrees of change shown, it is determined that the update of the diagnosis model is suspended.

[0101] Figure 9 1 shows an example in which the model update determination unit 17 determines whether to update based on two factors: the degree of change in the building environment (vertical axis) and the degree of change in elevator measurement data (horizontal axis).

[0102] like Figure 9 As shown, in the range X1 where the degree of change in the building environment is small and the degree of change in the elevator measurement data is also small, the model update determination unit 17 determines that updating is unnecessary.

[0103] On the other hand, Figure 9 As shown, when the degree of environmental change in the building reaches a certain level and the degree of change in elevator measurement data also reaches a certain level within a range X2, model update determination unit 17 determines whether an update is necessary based on a human assessment of the amount of change in the measurement data and other data. Specifically, when both building data and elevator data change, model update determination unit 17 preferably determines whether an update is necessary based on an operator's assessment of the display in data visualization unit 23 and other devices. Furthermore, if the amount of change in the data is small relative to the corresponding changes in the building and elevator data, model update determination unit 17 updates the diagnostic model to restore a state that can be determined as normal.

[0104] And, as Figure 9As shown, in range X3, where the degree of environmental change in the building or the degree of change in elevator measurement data is extremely large, model update determination unit 17 suspends updates. Specifically, when there are moderate changes in building or elevator data, it is preferable for model update determination unit 17 to suspend updates.

[0105] During this pause, the model update determination unit 17 observes changes in the measurement data over a certain period of time and determines whether an update is necessary. For example, in the event of a temporary environmental change or a temporary increase in the elevator's operating status, the model update determination unit 17 determines whether an update is necessary by observing whether the change returns to the original state or whether the change continues.

[0106] As described above, according to the elevator diagnostic system 10 of this example, the diagnostic model for diagnosing elevator failures, the presence or absence of component deterioration, etc. can be automatically and appropriately updated.

[0107] In this case, if Figure 2 As shown, data related to elevators and buildings are obtained, and the model update determination unit 17 can make appropriate diagnostic model update determinations taking into account not only changes in the numerical values of the elevator (elevator) measurement data, but also the use status of the elevator, the status of the building where the elevator is installed, etc.

[0108] For example, when the model update determination unit 17 measures the operation sound of an elevator as measurement data and diagnoses the presence or absence of an abnormality based on the measured operation sound, if the noise level at the elevator installation location changes due to the usage status of the building, construction, etc., the model update determination unit 17 can take this change into consideration and perform appropriate updates to the diagnostic model.

[0109] Furthermore, when the data visualization unit 23 is provided and the operator confirms the status of each data, the model update determination unit 17 can prevent the diagnosis model from being updated due to a temporary change in the use status of the elevator.

[0110] And, as data related to elevators and buildings, e.g. Figure 4 As shown, by using the elevator's operation history data, the building's operation history and construction history data, the building's sensor data, the building's specification data, and the building's passenger flow data, the model update determination unit 17 can determine whether the diagnostic model corresponding to the actual usage status of the elevator and building needs to be updated.

[0111] For example, when measuring the operation sound of an elevator and diagnosing the presence of an abnormality based on the measured operation sound, if the level of the measured operation sound increases, and the operation history and construction history are consistent with the period of the operation, the model update determination unit 17 can determine that no update is required.

[0112] Furthermore, by using building passenger flow data when determining whether the diagnostic model needs updating, the model update determination unit 17 can make an appropriate determination that updating is not necessary even when the increase or decrease in building passenger flow is substantially equal to the change trend of the measurement data.

[0113] [Modification]

[0114] In addition, the embodiment examples described so far are embodiment examples described in detail in order to explain the present invention in an easily understandable manner, and are not necessarily limited to those having all the described configurations.

[0115] In addition, Figures 1 to 4 In the block diagram shown, only the control lines and information lines considered necessary for explanation are shown. Not all control lines and information lines are shown in the product. In reality, it can be assumed that almost all the components are connected to each other.

[0116] in addition, Figure 5 The processing flow shown in the flowchart is also an example. If the processing results are the same, the processing order may be partially changed or multiple processes may be executed simultaneously.

[0117] Furthermore, while the above-described embodiment uses a system that determines whether an elevator diagnostic model can be updated, the system may also determine whether a diagnostic model for another elevator can be updated. For example, the system may determine whether a diagnostic model for a stairlift can be updated.

[0118] in addition, Figures 1 to 4 The lift diagnostic system shown is installed in Figure 1 The elevator diagnostic system can function by installing the corresponding program in a general-purpose information processing device (computer) to execute the program stored in the memory 102 or storage device 103 shown. In this case, the program can be stored in the memory of the information processing device serving as the elevator diagnostic system or stored in an external memory, IC card, SD card, optical disk, or other recording medium for transmission.

[0119] Furthermore, part or all of the elevator diagnostic system may be implemented using dedicated hardware such as FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit).

[0120] Explanation of symbols

[0121] 10, 10a, 10b, 10c…elevator diagnostic system, 11…measurement data acquisition unit, 12…data storage unit, 13…model construction unit, 14…diagnosis 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 device, 104…input unit, 105…communication interface.

Claims

1. An elevator diagnostic system, characterized in that: have: a measurement data acquisition unit that acquires measurement data from equipment included 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 diagnosis model for diagnosing a state of the elevator based on the measurement data accumulated in the data accumulation unit; a diagnosis unit that diagnoses a state of an elevator using the diagnosis model constructed by the model construction unit and the measurement data; as well as The model update determination unit determines whether the diagnosis model can be updated using intermediate data generated during a process for processing the measurement data using the diagnosis model.

2. The elevator diagnostic system according to claim 1, characterized in that: The model update determination unit performs determination using the measurement data used when constructing the diagnostic model to be determined for update and the measurement data used when determining for update.

3. The elevator diagnostic system according to claim 2, characterized in that: The model update determination unit determines whether the update is possible based on at least two of the measurement data used when constructing the diagnostic model serving as the update determination object, the measurement data used in the update determination, the measurement data used in the past update determination, data related to the elevator other than the measurement data of the elevator for which the measurement data was obtained, and data related to the building in which the elevator is installed.

4. The elevator diagnostic system according to claim 3, characterized in that: The elevator diagnostic system includes a data visualization unit that visualizes the data acquired by the model update determination unit. The model update determination unit makes a determination based on manual confirmation of the data visualized by the data visualization unit.

5. The elevator diagnostic system according to claim 3, characterized in that: The model update determination unit performs three types of determinations: to update the diagnosis model, not to update the diagnosis model, and to temporarily postpone the update.

6. The elevator diagnostic system according to claim 3, characterized in that: The data to be determined by the model update determination unit includes operation history data of the elevator.

7. The elevator diagnostic system according to claim 3, characterized in that: The data to be determined by the model update determination unit includes history data of work or construction of a building in which an elevator is installed.

8. The elevator diagnostic system according to claim 3, characterized in that: The data related to the installation environment of the elevator is measurement data of sensors included in the building where the elevator is installed.

9. The elevator diagnostic system according to claim 3, characterized in that: The data related to the installation environment of the elevator is data related to the specifications of the building in which the elevator is installed.

10. The elevator diagnostic system according to claim 3, characterized in that: The data related to the installation environment of the elevator is passenger flow data in the building where the elevator is installed.

11. A method for diagnosing an elevator, characterized in that: Include: Measurement data acquisition processing, obtaining measurement data from the equipment of the elevator; a data accumulation process for accumulating the measurement data acquired by the measurement data acquisition process; a model building process for building a diagnosis model for diagnosing the state of the elevator based on the measurement data accumulated by the data accumulation process; a diagnosis process for diagnosing a state of an elevator using the diagnosis model constructed by the model construction process and the measurement data; as well as The model update determination process determines whether the diagnosis model can be updated using intermediate data generated during a process for processing the measurement data using the diagnosis model.

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