Methods, devices, storage media, and software products for predicting the lifespan of elevator door operator components.

Abstract

This application discloses a method, apparatus, storage medium, and program product for predicting the lifespan of elevator door operator components. The method includes: acquiring vibration data of the elevator during door opening and closing and a pre-created remaining lifespan prediction model; predicting the remaining lifespan of the elevator door operator components based on the acquired vibration data and the remaining lifespan prediction model; wherein the remaining lifespan prediction model is created based on historical vibration data of operating stages with degradation trends selected from different operating stages within the elevator door opening and closing cycle. This embodiment enables the prediction of the remaining lifespan of elevator door operator components, facilitating timely replacement and ensuring public safety.

Description

Technical Field

[0001] This application relates to elevator design technology, and more particularly to a method, device, storage medium, and program product for predicting the lifespan of elevator door operator components. Background Technology

[0002] Elevator door operators are the core components of elevators; over 80% of elevator malfunctions and over 70% of elevator accidents are related to the door system. In recent years, China has seen a dramatic increase in the number of installed and existing elevators, along with a surge in the number of aging elevators. This has led to a continuous stream of accidents caused by elevator malfunctions, posing a significant threat to people's lives and property. Researching methods for predicting the lifespan of elevator door operator components allows after-sales personnel to promptly assess the condition of these components and replace them before problems arise, thereby ensuring public safety. Summary of the Invention

[0003] This application provides a method, device, storage medium, and program product for predicting the lifespan of elevator door operator components. These methods can predict the remaining lifespan of elevator door operator components, facilitating timely replacement and ensuring people's safety.

[0004] This application provides a method for predicting the lifespan of elevator door operator components, which may include:

[0005] Acquire vibration data of the elevator during the opening and closing of the doors, as well as a pre-created remaining life prediction model;

[0006] The remaining life of the elevator door operator component is predicted based on the vibration data and the remaining life prediction model.

[0007] The remaining life prediction model can be created based on historical vibration data corresponding to the deterioration trend of different operating stages selected from one door opening and closing cycle of the elevator. The operating stage with a deterioration trend refers to an operating stage in which the vibration data and / or related data calculated based on the vibration data show a preset trend due to the aging of the elevator door operator components.

[0008] In one embodiment, pre-creating the remaining lifespan prediction model may include:

[0009] The historical vibration data is divided according to different operating stages within the elevator's door opening and closing cycle to obtain historical vibration data corresponding to different operating stages.

[0010] One or more operating phases with a degradation trend are selected based on the historical vibration data of each operating phase;

[0011] The remaining life prediction model is created based on the historical vibration data corresponding to each selected operational stage with a degradation trend.

[0012] In one embodiment, dividing the historical vibration data according to different operating stages within the elevator's door opening and closing cycle to obtain historical vibration data corresponding to different operating stages may include:

[0013] Obtain the timestamps corresponding to historical vibration data;

[0014] Determine the time periods corresponding to different operating stages within the elevator's door opening and closing cycle;

[0015] For each operational phase, the historical vibration data within the time period corresponding to that operational phase is used as the historical vibration data for that operational phase.

[0016] In one embodiment, determining the time periods corresponding to different operating stages within the elevator's door opening and closing cycle may include: processing one or more historical elevator door opening and closing cycles as follows:

[0017] The displacement curves of the elevator door operator during the opening and closing processes are obtained based on the historical vibration data.

[0018] The starting and ending positions of the door opening displacement curve in the displacement curve are determined by the rising edge timestamp of the historical door opening signal and the rising edge timestamp of the historical door opening position signal; and the starting and ending positions of the door closing displacement curve in the displacement curve are determined by the rising edge timestamp of the historical door closing signal and the rising edge timestamp of the historical door closing position signal.

[0019] According to the pre-set division criteria, the opening displacement curve and the closing displacement curve are divided into multiple different operating stages, and the time period corresponding to each operating stage is determined.

[0020] The classification criteria may include, but are not limited to, the displacement ranges corresponding to different operating stages as determined in advance.

[0021] In one embodiment, selecting one or more operating phases with a degradation trend based on historical vibration data of each operating phase may include:

[0022] Acquire historical vibration data for each operating phase within a preset time period, and calculate the root mean square value of the historical vibration data for each operating phase;

[0023] The root mean square value of each running stage is analyzed for degradation trend based on a pre-set degradation trend analysis algorithm, and the running stage with degradation trend is selected.

[0024] In one embodiment, the step of performing degradation trend analysis on the root mean square value of each operating stage according to a preset degradation trend analysis algorithm, and selecting the operating stages with degradation trends, may include: performing the following operations for each operating stage:

[0025] Perform linear regression on the root mean square value corresponding to the operating phase to obtain a straight line, and calculate the slope of the straight line;

[0026] If the slope is greater than or equal to a preset slope threshold, the running phase is considered to be a running phase with a degenerate trend.

[0027] If the slope is less than the slope threshold, the running phase is considered to be a running phase without a degenerative trend.

[0028] In one embodiment, creating the remaining life prediction model based on historical vibration data from each selected operational phase exhibiting a degradation trend may include:

[0029] For each operating stage with a degradation trend, a polynomial fitting is performed based on the historical vibration data corresponding to that operating stage to obtain the remaining life prediction model corresponding to that operating stage.

[0030] In one embodiment, the running phase may include:

[0031] The elevator door opening process includes the following operating phases: door in closed state phase, first slow opening phase, accelerated opening phase, constant speed opening phase, deceleration opening phase, and second slow opening phase; and,

[0032] The elevator door closing process includes the following operating stages: door in open state stage, first slow closing stage, accelerated closing stage, uniform closing stage, deceleration closing stage, and second slow closing stage.

[0033] In one embodiment, the elevator door operator component may include elevator operating equipment, and the prediction of the remaining life of the elevator door operator component based on the vibration data and the remaining life prediction model may include:

[0034] For each operating stage with a degradation trend, the vibration data of that operating stage is acquired in real time and compared with the remaining life prediction model corresponding to that operating stage to obtain the remaining life corresponding to that operating stage.

[0035] Calculate the remaining lifespan of one or more obtained data to obtain the final remaining lifespan of the elevator operating equipment.

[0036] This application embodiment also provides an elevator door operator component life prediction device, which may include a processor and a memory. The memory stores instructions, and when the instructions are executed by the processor, the elevator door operator component life prediction method is implemented.

[0037] This application also provides an elevator, which may include an elevator door operator component and a life prediction device for the elevator door operator component.

[0038] This application also provides a non-transient computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, can implement the elevator door operator component life prediction method.

[0039] This application also provides a computer program product, including a computer program, characterized in that, when executed by a processor, the computer program can implement the elevator door operator component life prediction method. The elevator door operator component life prediction method of this application embodiment may include: acquiring vibration data of the elevator in the opening and closing state and a pre-created remaining life prediction model; predicting the remaining life of the elevator door operator component based on the acquired vibration data and the remaining life prediction model; wherein, the remaining life prediction model is created based on historical vibration data of operating stages with degradation trends selected from different operating stages within the elevator's door opening and closing cycle. Through this embodiment, the remaining life of the elevator door operator component is predicted, facilitating timely replacement of the elevator door operator component and ensuring people's safety.

[0040] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0041] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0042] Figure 1 This is a flowchart of the elevator door operator component life prediction method according to an embodiment of this application;

[0043] Figure 2 A flowchart illustrating a method for pre-creating a remaining lifetime prediction model according to an embodiment of this application;

[0044] Figure 3 A flowchart illustrating a method for pre-creating a remaining lifetime prediction model according to an embodiment of this application;

[0045] Figure 4 This is a flowchart of a method for dividing historical vibration data into different operating stages based on different operating stages within a door opening and closing cycle of an elevator, and obtaining historical vibration data corresponding to different operating stages, as described in this application embodiment.

[0046] Figure 5 This is a flowchart illustrating a method for determining different operating phases within a door opening / closing cycle of an elevator, according to an embodiment of this application.

[0047] Figure 6(a) is a schematic diagram of determining the door opening start point based on historical door opening signals according to an embodiment of this application;

[0048] Figure 6(b) is a schematic diagram of determining the door opening endpoint based on historical door opening position signals according to an embodiment of this application;

[0049] Figure 6(c) is a schematic diagram of determining the door closing start point based on historical door closing signals according to an embodiment of this application;

[0050] Figure 6(d) is a schematic diagram of determining the door closing endpoint based on historical door closing signals according to an embodiment of this application;

[0051] Figure 7 A flowchart illustrating the method for selecting operating phases with a degradation trend based on historical vibration data of each operating phase, as described in this application embodiment;

[0052] Figure 8 This is a schematic diagram of a line corresponding to historical vibration data with a degradation trend in an embodiment of this application;

[0053] Figure 9 This is a schematic diagram of a straight line corresponding to historical vibration data that does not show a degradation trend, according to an embodiment of this application.

[0054] Figure 10 This is a schematic diagram of the degradation curve in an embodiment of this application;

[0055] Figure 11 This is a block diagram of the elevator door operator component life prediction device according to an embodiment of this application. Detailed Implementation

[0056] This application describes several embodiments, but these descriptions are exemplary and not restrictive, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0057] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive scheme as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive schemes to form another unique inventive scheme as defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in this application may be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.

[0058] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0059] This application provides a method for predicting the lifespan of elevator door operator components, such as... Figure 1 As shown, it may include steps S101-S102:

[0060] S101. Obtain vibration data of the elevator in the opening and closing state and a pre-created remaining life prediction model;

[0061] S102. Predict the remaining life of the elevator door operator components based on the acquired vibration data and the remaining life prediction model.

[0062] The remaining life prediction model is created based on historical vibration data corresponding to the deterioration trend of different operating stages selected during the elevator's door opening and closing cycle. The deterioration trend of an operating stage refers to an operating stage in which the vibration data and / or related data calculated based on the vibration data show a preset trend due to the aging of the elevator door operator components.

[0063] In one embodiment, the elevator door operator component includes elevator operating equipment, which may include, but is not limited to, door opening and closing rails and a permanent magnet synchronous motor.

[0064] In one embodiment, a vibration acceleration sensor can be installed on the door opening and closing slide rail of the elevator door operator and the bearing of the permanent magnet synchronous motor, respectively. This allows for the acquisition of vibration data of the door opening and closing slide rail and the permanent magnet synchronous motor in real time during elevator operation, and the remaining lifespan of the door opening and closing slide rail and the permanent magnet synchronous motor can be predicted based on the vibration data.

[0065] In one embodiment, the vibration acceleration sensor can be directly connected to a pre-set communication device. That is, the vibration data acquisition device can be realized through a high-speed vibration signal acquisition module integrated in the communication device, which can acquire vibration data in real time during the opening and closing of the door.

[0066] In one embodiment, after the data acquisition device acquires the elevator's operating status data, it can send the elevator operating status data to a communication device, such as a CAN (Controller Area Network) communication module. The communication device can integrate a signal filtering module, which can filter the input vibration data and remove signal noise interference.

[0067] In one embodiment, vibration data can be low-pass filtered to remove high-frequency signals above 1000Hz.

[0068] In one embodiment, after the communication device completes the filtering operation on the vibration data, it can send the vibration data to a preset edge device. The edge device can integrate a data processing algorithm, which can integrate and align the input vibration data. According to the opening and closing motion characteristics of the elevator doors, the elevator operating status data can be divided into different operating stages within one opening and closing cycle of the elevator, thereby obtaining the vibration data corresponding to each operating stage. The remaining life of the elevator door operator components can be predicted based on the obtained vibration data corresponding to different operating stages and the pre-created remaining life prediction model.

[0069] In one embodiment, such as Figure 2 As shown, pre-creating the remaining life prediction model may include steps S201-S203:

[0070] S201. Divide the historical vibration data according to the different operating stages within the elevator's door opening and closing cycle, and obtain the historical vibration data corresponding to the different operating stages.

[0071] In one embodiment, such as Figure 3 As shown, the step of dividing historical vibration data according to different operating stages within the elevator's door opening and closing cycle and obtaining historical vibration data corresponding to different operating stages may include steps S301-S303:

[0072] S301. Obtain the timestamps corresponding to historical vibration data.

[0073] S302. Determine the time periods corresponding to different operating stages within the elevator's door opening and closing cycle.

[0074] In one embodiment, before performing vibration data segmentation, a door opening / closing cycle of the elevator can be pre-divided into different operating phases, such as... Figure 4 As shown, it can be divided into 12 segments from s0 to s11.

[0075] In one embodiment, the running phase may include:

[0076] Based on the sequence of the door opening process, the operational phases of the door opening process may include, but are not limited to: the door being in a closed state (s0), the first slow opening phase (s1), the accelerated opening phase (s2), the uniform speed opening phase (s3), the deceleration opening phase (s4), and the second slow opening phase (s5); and,

[0077] According to the sequence of the closing process, the operation phases of the closing process may include, but are not limited to: the door is in the open state phase s6, the first slow closing phase s7, the accelerated closing phase s8, the uniform closing phase s9, the deceleration closing phase s10, and the second slow closing phase s11.

[0078] In one embodiment, after the second slow-closing stage s11 ends, the door will be completely closed, thus re-entering the closed-door stage s0.

[0079] In one embodiment, the method for dividing different operational phases is described in detail below.

[0080] In one embodiment, such as Figure 5 As shown, determining the different operating stages within one door opening / closing cycle of the elevator may include steps S401-S403:

[0081] S401. Obtain the displacement curves of the elevator door operator during the opening and closing processes based on the historical vibration data;

[0082] S402. Determine the start and end positions of the door opening displacement curve in the displacement curve by using the rising edge timestamp of the historical door opening signal and the rising edge timestamp of the historical door opening position signal; determine the start and end positions of the door closing displacement curve in the displacement curve by using the rising edge timestamp of the historical door closing signal and the rising edge timestamp of the historical door closing position signal.

[0083] S403. Divide the door opening displacement curve and the door closing displacement curve into multiple different operating stages according to the preset division criteria, and determine the time period corresponding to each operating stage; wherein, the division criteria include: the displacement range corresponding to the different operating stages as determined in advance.

[0084] In one embodiment, CAN signals can be acquired through a CAN communication module. These CAN signals may include: the displacement curve of the elevator door operator during one door opening / closing cycle, historical door opening signals, historical door opening-to-position signals, historical door closing signals, and historical door closing-to-position signals; and vibration data collected during the door opening / closing cycle can be acquired.

[0085] In one embodiment, the aforementioned CAN signal is acquired synchronously with the vibration data to ensure that the timestamps of the CAN signal and the vibration data are consistent.

[0086] In one embodiment, the starting and ending positions of the door opening displacement curve can be located using the rising edge timestamps of historical door opening signals and historical door opening position signals; similarly, the starting and ending positions of the door closing displacement curve can be located using the rising edge timestamps of historical door closing signals and historical door closing position signals. Figure 6(a) , 6(b) As shown in 6(c) and 6(d).

[0087] In one embodiment, the elevator door opening is determined by historical door opening signals, and the elevator door closing is determined by historical door closing signals.

[0088] In one embodiment, segmenting the door opening displacement curve may include: obtaining the maximum displacement MaxDisp of the door opening displacement curve; defining the period from 0 to 0.08*MaxDisp as the "first slow door opening stage s1" and recording a timestamp; defining the period from 0.081*MaxDisp to 0.4*MaxDisp as the "accelerated door opening stage s2" and recording a timestamp; defining the period from 0.4*MaxDisp to 0.67*MaxDisp as the "uniform speed door opening stage s3" and recording a timestamp; defining the period from 0.67*MaxDisp to 0.98*MaxDisp as the "decelerated door opening stage s4" and recording a timestamp; and defining the period from 0.98*MaxDisp to MaxDisp as the "second slow door opening stage s5" and recording a timestamp.

[0089] In one embodiment, segmenting the door closing displacement curve may include: obtaining the maximum displacement MaxDisp of the door closing displacement curve; defining the range of MaxDisp to 0.98*MaxDisp as "first slow closing stage s7" and recording a timestamp; defining the range of 0.98*MaxDisp to 0.67*MaxDisp as "accelerated closing stage s8" and recording a timestamp; defining the range of 0.67*MaxDisp to 0.4*MaxDisp as "uniform closing stage s9" and recording a timestamp; defining the range of 0.4*MaxDisp to 0.081*MaxDisp as "decelerated closing stage s10" and recording a timestamp; and defining the range of 0.08*MaxDisp to 0 as "second slow closing stage s11" and recording a timestamp.

[0090] In one embodiment, the displacement range corresponding to the different operating stages described above is only one example, and the displacement range corresponding to each operating stage can be adjusted according to different application scenarios.

[0091] S303. For each operating phase, the historical vibration data within the time period corresponding to that operating phase is used as the historical vibration data corresponding to that operating phase.

[0092] In one embodiment, since the timestamps of the CAN signal and the vibration data are consistent, the timestamps in the door opening displacement curve and the door closing displacement curve are also consistent with the timestamps of the vibration data. The time periods corresponding to different operating stages can be compared with each time period generated by the historical vibration data. The historical vibration data collected within the time period corresponding to the operating stage can be used as the historical vibration data corresponding to that operating stage, thereby obtaining the historical vibration data corresponding to different operating stages.

[0093] S202. Select the operating stages with degradation trends based on the historical vibration data of each operating stage.

[0094] In one embodiment, such as Figure 7 As shown, selecting the operating phase with a degradation trend based on historical vibration data of each operating phase may include S501-S502:

[0095] S501. Obtain historical vibration data corresponding to each operating stage within a preset time period, and calculate the root mean square value of the historical vibration data for each operating stage.

[0096] In one embodiment, the preset duration can refer to a period of time prior to the current moment, such as vibration data from a year (or a week, a month, etc.) prior to the current moment.

[0097] In one embodiment, the vibration data may include any one or more of the following: vibration velocity, vibration acceleration, and vibration displacement. When creating a remaining lifetime prediction model, one of the above vibration data can be used to calculate and obtain the remaining lifetime prediction model, or a remaining lifetime prediction model can be calculated separately for each type of vibration data obtained. For example, a remaining lifetime prediction model can be calculated based on vibration velocity, and a remaining lifetime prediction model can be calculated based on vibration displacement, but a mixed calculation based on vibration velocity and vibration displacement is not allowed.

[0098] In one embodiment, the root mean square (RMS) value can be calculated using the following formula:

[0099]

[0100] Where y refers to each historical vibration data in a set of historical vibration data; i refers to the i-th historical vibration data, i is between 0 and K, K+1 is the total number of historical vibration data, i is 0 or a positive integer, and K is a positive integer.

[0101] S502. Perform degradation trend analysis on the root mean square value of each operating stage according to the preset degradation trend analysis algorithm, and select the operating stages with degradation trend.

[0102] In one embodiment, to improve the accuracy of remaining lifetime prediction, degradation trend analysis can be performed on the root mean square (RMS) value corresponding to each operating stage to determine whether each operating stage has a degradation trend. Since remaining lifetime prediction cannot be performed on operating stages without degradation trends, historical vibration data of operating stages without degradation trends can be removed, and only historical vibration data of operating stages with degradation trends can be retained.

[0103] In one embodiment, the degradation trend refers to the tendency of certain data to change over time, such as the data gradually decreasing or gradually increasing. For example, when the historical vibration data are all vibration velocity data, the degradation trend refers to the gradual increase of multiple root mean square values ​​calculated from multiple sets of vibration data over a period of time.

[0104] In one embodiment, the step of performing degradation trend analysis on the root mean square value of each operating stage according to a preset degradation trend analysis algorithm, and selecting the operating stages with degradation trends, may include: performing the following operations for each operating stage:

[0105] Linear regression is performed on the root mean square value of the operation phase to obtain a straight line, and the slope of the straight line is calculated.

[0106] If the slope is greater than or equal to a preset slope threshold, the running phase is considered to be a running phase with a degenerate trend.

[0107] If the slope is less than the slope threshold, the running phase is considered to be a running phase without a degenerative trend.

[0108] In one embodiment, the slope threshold can be defined according to different application scenarios and requirements, and the specific value of the slope threshold is not limited here. For example, the slope threshold can be selected as 10°. When the slope is greater than or equal to 10°, it can be determined that the historical vibration data of this operating phase has a degradation trend. When the slope is less than 10°, it can be determined that the historical vibration data of this operating phase is relatively stable and has no degradation trend. Figure 8 As shown, this is a schematic diagram of the straight lines corresponding to historical vibration data with a degradation trend; as... Figure 9 The image shown is a schematic diagram of the straight lines corresponding to historical vibration data that do not show a degradation trend. Figure 8 and Figure 9 In the graph, the horizontal axis represents time data (as the horizontal axis extends, the time value becomes larger and larger until the maximum lifespan of the elevator operating equipment), and the vertical axis represents the root mean square (RMS) value.

[0109] S203. Create the remaining life prediction model based on the historical vibration data of each selected operating stage with a degradation trend.

[0110] In one embodiment, creating the remaining life prediction model based on historical vibration data of selected operational phases exhibiting degradation trends may include:

[0111] Polynomial fitting is performed on the historical vibration data of the operation phase with degradation trend to obtain the corresponding remaining life prediction model for the operation phase.

[0112] In one embodiment, polynomial fitting is performed on historical vibration data for each operating stage showing a degradation trend to obtain the corresponding degradation curve for that operating stage. The degradation curve for each operating stage is then used as the remaining life prediction model for that operating stage. For example... Figure 10 The figure shown is a schematic diagram of the fitted degradation curve.

[0113] In one embodiment, the elevator door operator component includes elevator operating equipment, and predicting the remaining life of the elevator door operator component based on the acquired vibration data and the remaining life prediction model may include:

[0114] For each operating stage with a degradation trend, the vibration data of that operating stage is acquired in real time and compared with the remaining life prediction model corresponding to that operating stage to obtain the remaining life corresponding to that operating stage.

[0115] Calculate the remaining lifespan of one or more obtained data to obtain the final remaining lifespan of the elevator operating equipment.

[0116] In one embodiment, for example, if the remaining life prediction model (degradation curve) for each operating phase is created for vibration velocity, then for any operating phase's remaining life prediction model (degradation curve), the latest RMS value of the vibration velocity acquired in real time for that operating phase can be compared with the vertical axis of the degradation curve to determine the value corresponding to the RMS value on the vertical axis, and a straight line parallel to the horizontal axis passing through this value can be drawn to obtain the intersection point of the straight line and the degradation curve. The horizontal axis of the intersection point can then be determined as the current lifespan of the elevator operating equipment (e.g., a permanent magnet synchronous motor). By subtracting the current lifespan from the maximum lifespan of the elevator operating equipment, the remaining lifespan of the elevator operating equipment in that operating phase is obtained.

[0117] In one embodiment, when there are multiple operating stages with a degradation trend, the remaining lifespan corresponding to each operating stage can be calculated according to the above calculation method.

[0118] In one embodiment, when there are multiple operating stages with a degradation trend, the average of the remaining lifetimes of the multiple operating stages with a degradation trend can be calculated. The average can be calculated directly, or the average of the remaining lifetimes can be calculated after removing the maximum and minimum values ​​among the multiple remaining lifetimes to obtain the final remaining lifetime.

[0119] This application also provides an elevator door operator component life prediction device 1, such as... Figure 11 As shown, it may include a processor 11 and a computer-readable storage medium 12, wherein the computer-readable storage medium 12 stores instructions that, when executed by the processor 11, implement the elevator door operator component life prediction method.

[0120] In one embodiment, any of the aforementioned methods for predicting the lifespan of elevator door operator components can be applied to this device embodiment, and will not be described in detail here.

[0121] This application also provides an elevator, which may include an elevator door operator component and a life prediction device for the elevator door operator component.

[0122] In one embodiment, any of the aforementioned methods for predicting the lifespan of elevator door operator components can be applied to this elevator embodiment, and will not be described in detail here.

[0123] This application also provides a non-transient computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, can implement the elevator door operator component life prediction method.

[0124] In one embodiment, any of the aforementioned methods for predicting the lifespan of elevator door operator components can be applied to this non-transient computer-readable storage medium embodiment, and will not be described in detail here.

[0125] This application also provides a computer program product, including a computer program, characterized in that the computer program, when executed by a processor, can implement the elevator door operator component life prediction method.

[0126] In one embodiment, any of the aforementioned methods for predicting the lifespan of elevator door operator components can be applied to this computer program product embodiment, and will not be described in detail here.

[0127] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

Claims

1. A method for predicting the lifespan of elevator door operator components, characterized in that, include: Acquire vibration data of the elevator during the opening and closing of doors and a pre-created remaining life prediction model; The remaining life of the elevator door operator components is predicted based on the acquired vibration data and the remaining life prediction model. The remaining life prediction model is created based on historical vibration data of the operation phase with a degradation trend during the elevator door opening and closing cycle. The remaining lifespan prediction model is created in advance, including: The historical vibration data is divided according to different operating stages within the elevator door opening and closing cycle, and the historical vibration data corresponding to different operating stages is obtained. The operating phases with degradation trends were selected based on historical vibration data for each operating phase. The remaining life prediction model is created based on historical vibration data for each operational phase exhibiting a degradation trend; The selection of operating phases with degradation trends based on historical vibration data for each operating phase includes: Acquire historical vibration data for each operating phase within a preset time period, and calculate the root mean square value of the historical vibration data for each operating phase; The root mean square value of each running stage is analyzed for degradation trend based on the preset degradation trend analysis algorithm, and the running stage with degradation trend is selected.

2. The method for predicting the lifespan of elevator door operator components according to claim 1, characterized in that, The historical vibration data is divided according to different operating stages within the elevator door opening and closing cycle, and the historical vibration data corresponding to different operating stages is obtained, including: Obtain the timestamp corresponding to the historical vibration data; Determine the time periods corresponding to different operating stages within the elevator door opening and closing cycle; For each operational phase, the historical vibration data within the time period corresponding to that operational phase is used as the historical vibration data for that operational phase.

3. The method for predicting the lifespan of elevator door operator components according to claim 2, characterized in that, Determining the time periods corresponding to different operating stages within an elevator door opening / closing cycle includes: performing the following processing on one or more historical elevator door opening / closing cycles: The displacement curves of the elevator door operator during the opening and closing processes are obtained based on the historical vibration data. The starting and ending positions of the door opening displacement curve in the displacement curve are determined by the rising edge timestamp of the historical door opening signal and the rising edge timestamp of the historical door opening position signal; the starting and ending positions of the door closing displacement curve in the displacement curve are determined by the rising edge timestamp of the historical door closing signal and the rising edge timestamp of the historical door closing position signal. According to the preset division criteria, the door opening displacement curve and the door closing displacement curve are divided into multiple different operating stages, and the time period corresponding to each operating stage is determined. The classification criteria include: the displacement range corresponding to different operating stages as determined in advance.

4. The method for predicting the lifespan of elevator door operator components according to claim 1, characterized in that, The step of performing degradation trend analysis on the root mean square value of each operating stage according to a preset degradation trend analysis algorithm, and selecting the operating stages with degradation trends, includes: performing the following operations for each operating stage: Linear regression is performed on the root mean square value of the operation phase to obtain a straight line, and the slope of the straight line is calculated. If the slope is greater than or equal to a preset slope threshold, the running phase is considered to be a running phase with a degenerate trend. If the slope is less than the slope threshold, the running phase is considered a running phase without a degradation trend.

5. The method for predicting the lifespan of elevator door operator components according to claim 2, characterized in that, The process of creating the remaining life prediction model based on historical vibration data for each operational phase exhibiting a degradation trend includes: For each operating stage exhibiting a degradation trend, a polynomial fitting is performed based on the historical vibration data of that operating stage to obtain the remaining life prediction model corresponding to that operating stage.

6. The method for predicting the lifespan of elevator door operator components according to any one of claims 1-5, characterized in that, The operational phase includes: The following operational phases occur during the door opening process: the door is in a closed state, the first slow opening phase, the accelerated opening phase, the constant speed opening phase, the deceleration opening phase, and the second slow opening phase; and, The closing process consists of the following stages: the door is in the open state, the first slow closing stage, the accelerated closing stage, the uniform closing stage, the decelerated closing stage, and the second slow closing stage.

7. The method for predicting the lifespan of elevator door operator components according to any one of claims 2-5, characterized in that, The elevator door operator component includes elevator operating equipment. Predicting the remaining lifespan of the elevator door operator component based on the acquired vibration data and the remaining lifespan prediction model includes: For each operating stage with a degradation trend, the vibration data of that operating stage is acquired in real time and compared with the remaining life prediction model corresponding to that operating stage to obtain the remaining life corresponding to that operating stage. Calculate the remaining lifespan of one or more obtained data to obtain the final remaining lifespan of the elevator operating equipment.

8. A device for predicting the lifespan of elevator door operator components, characterized in that, It includes a processor and a memory, wherein the memory stores instructions that, when executed by the processor, implement the elevator door operator component life prediction method as described in any one of claims 1 to 7.

9. An elevator, characterized in that, It includes elevator door operator components and the elevator door operator component life prediction device as described in claim 8.

10. A non-transient computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it can implement the elevator door operator component life prediction method as described in any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it can implement the elevator door operator component life prediction method as described in any one of claims 1 to 7.

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