Track shielding door slide rail fault diagnosis method, system, device and medium

Abstract

The invention provides a rail shielding door slide rail fault diagnosis method, system and device and a medium, and the method comprises the steps: obtaining a vibration sensing signal of a rail shielding door, generating a plurality of groups of intrinsic mode components according to the vibration sensing signal, determining the kurtosis index and the pulse index of each group of intrinsic mode components, and carrying out the fault diagnosis of the rail shielding door slide rail. Determining a target intrinsic mode component in each group of intrinsic mode components according to a kurtosis index, a pulse index and a preset diagnosis array screening condition, and performing diagnosis analysis on the track shielding door according to the target intrinsic mode component and a preset reference intrinsic mode component to obtain a fault diagnosis result of the track shielding door; according to the method, the optimal intrinsic mode component is extracted to serve as an analysis object, statistical indexes and time domain feature analysis are combined, the operation state of the sliding rail of the shielding door can be effectively detected, when the sliding rail of the shielding door has an early fault, the fault can be detected, and accidents such as economic losses and casualties caused by the fault of the shielding door are effectively avoided.

Description

Technical Field

[0001] The present application relates to the field of safety control, and in particular to a method, system, equipment and medium for diagnosing a fault of a track shield door slide rail. Background Art

[0002] With the acceleration of urbanization and the continuous growth of public transportation demand, the subway system has become an important part of the modern urban transportation network. As an efficient means of transportation connecting various areas of the city, the subway not only greatly alleviates the problem of urban traffic congestion, but also provides citizens with a convenient and punctual way of travel. In this context, the platform shield door system, as a key facility for subway platform safety protection, is not only crucial to ensuring passenger safety, but also the basis for ensuring the smooth operation of subway trains.

[0003] However, the existing platform screen door system mainly focuses on obstacle detection between sliding doors to prevent passengers or objects from being caught in the door gap, which plays an important role in improving passenger safety. But at the same time, there is a lack of effective monitoring mechanism for potential faults such as wear or deformation of the slide rails. The occurrence of such faults will not only affect the normal operation of the platform screen door system, but may also cause train delays and even lead to serious safety accidents. Therefore, it is particularly important to strengthen the fault diagnosis and detection of the track platform screen door slide rails to ensure the stable operation of the platform screen door system and the safety of passengers. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method, system, device and medium for diagnosing a fault of a rail screen door slide rail, so as to solve the above-mentioned technical problems.

[0005] The present invention provides a method for diagnosing a fault of a track shielding door slide rail. The method comprises the following steps: obtaining a vibration sensor signal of the track shielding door; generating a plurality of groups of intrinsic mode components according to the vibration sensor signal, and respectively determining a kurtosis index and a pulse index of each group of intrinsic mode components; determining a target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, the pulse index and a preset diagnosis array screening condition; and performing a diagnosis analysis on the track shielding door according to the target intrinsic mode component and a preset reference intrinsic mode component to obtain a fault diagnosis result of the track shielding door.

[0006] In one embodiment of the present invention, determining the target eigenmode components in each group of eigenmode components according to the kurtosis index, the pulse index and the preset diagnostic array screening conditions includes: determining the eigenmode components in each group of the eigenmode components whose pulse index is less than the preset pulse index threshold as the first screened eigenmode components; and determining the group of eigenmode components with the largest kurtosis index in the first screened eigenmode components as the target eigenmode components.

[0007] In one embodiment of the present invention, the track screen door is diagnosed and analyzed according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain the fault diagnosis result of the track screen door, which includes: calculating the degree of correlation according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain a correlation coefficient, and calculating the standard deviation of the target intrinsic mode component to obtain a target standard deviation; if the correlation coefficient is greater than a preset correlation coefficient threshold, and the target standard deviation is greater than a preset standard deviation threshold, it is determined that the track screen door is faulty, and the preset standard deviation threshold is determined by the standard deviation of the preset reference intrinsic mode component; if the correlation coefficient is less than or equal to the preset correlation coefficient threshold, and the target standard deviation is less than or equal to the preset standard deviation threshold, it is determined that the track screen door is normal.

[0008] In one embodiment of the present invention, the correlation degree calculation based on the target intrinsic mode component and the preset reference intrinsic mode component is characterized as follows:

[0009]

[0010] Wherein, r is the correlation coefficient, n is the signal length of the intrinsic mode component, x is the preset reference intrinsic mode component, and y is the target intrinsic mode component.

[0011] In one embodiment of the present invention, after determining that the track shielding door fault is present, the track shielding door slide rail fault diagnosis method further includes: obtaining a single operation time of the track shielding door; performing time domain feature extraction based on the target intrinsic modal component to obtain abnormal operation period information of the slide rail; determining abnormal area distribution information of the abnormal operation of the slide rail based on the abnormal operation period information of the slide rail and the single operation time, and sending the abnormal area distribution information to a terminal for display.

[0012] In one embodiment of the present invention, generating multiple groups of intrinsic mode components according to the vibration sensor signal includes: performing a first empirical mode decomposition on the vibration sensor signal to obtain comparative intrinsic mode components; performing empirical mode decomposition on the vibration sensor signal again to obtain current intrinsic mode components, and calculating in real time a normalized difference measurement index between the current intrinsic mode components and the comparative intrinsic mode components, wherein the normalized difference measurement index is characterized as:

[0013]

[0014] Wherein, DI is a normalized difference metric, n is a signal length of an intrinsic mode component, x1 is a comparison intrinsic mode component, and x2 is a current intrinsic mode component; when the normalized difference metric is less than a preset decomposition metric threshold, the comparison intrinsic mode component is stored, the decomposition is terminated, and the current intrinsic mode component is updated to a new comparison intrinsic mode component; the empirical mode decomposition of the vibration sensor signal is repeated until the number of stored intrinsic mode components reaches a preset number, the empirical mode decomposition is terminated, and the stored multiple groups of intrinsic mode components are output.

[0015] In one embodiment of the present invention, the kurtosis index and the impulse index of each group of eigenmode components are determined respectively, and the determination of the kurtosis index is characterized as follows:

[0016]

[0017] Wherein, β is the kurtosis index, n is the signal length of the intrinsic mode component, and x is the intrinsic mode component; the determination of the pulse index is characterized by:

[0018]

[0019] Among them, x max represents the maximum value in the signal, n is the signal length of the eigenmode component, and x is the eigenmode component.

[0020] The embodiment of the present invention also provides a track shielding door slide rail fault diagnosis system, which includes: a sensor data acquisition module, used to obtain the vibration sensor signal of the track shielding door; a target diagnosis parameter determination module, used to generate multiple groups of intrinsic mode components according to the vibration sensor signal, and respectively determine the kurtosis index and pulse index of each group of intrinsic mode components; determine the target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, pulse index and preset diagnosis array screening conditions; and an operation fault diagnosis module, used to diagnose and analyze the track shielding door according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain the fault diagnosis result of the track shielding door.

[0021] An embodiment of the present invention also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the track shielding door slide rail fault diagnosis method as described in any one of the above embodiments.

[0022] An embodiment of the present invention further provides a computer-readable storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor of a computer, the computer is enabled to execute the method for diagnosing a rail screen door slide rail fault as described in any one of the above embodiments.

[0023] The present invention provides a method, system, device and medium for diagnosing a fault of a track shielding door slide rail. The method obtains a vibration sensor signal of the track shielding door, generates multiple groups of intrinsic mode components according to the vibration sensor signal, and respectively determines the kurtosis index and pulse index of each group of intrinsic mode components. In each group of intrinsic mode components, a target intrinsic mode component is determined according to the kurtosis index, the pulse index and a preset diagnosis array screening condition. The track shielding door is diagnosed and analyzed according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain a fault diagnosis result of the track shielding door. The method extracts the optimal intrinsic mode component as an analysis object, combines statistical indicators and time domain feature analysis, and can effectively detect the running state of the shielding door slide rail. When the shielding door slide rail has an early fault, the fault can be detected, effectively avoiding accidents such as economic losses and casualties caused by the fault of the shielding door.

[0024] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and together with the specification, are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0026] Figure 1 is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application;

[0027] Figure 2 is a flow chart of a method for diagnosing a fault of a track screen door slide rail, shown in an exemplary embodiment of the present application;

[0028] Figure 3 It is a schematic flow chart of a specific method for diagnosing a fault of a track screen door slide rail, shown in an exemplary embodiment of the present application;

[0029] Figure 4 is a schematic diagram of a rail screen door slide rail fault diagnosis system shown in an exemplary embodiment of the present application;

[0030] Figure 5It is a schematic diagram of the structure of a computer system of an electronic device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will describe the embodiments of the present invention with reference to the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0032] It should be noted that the illustrations provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic manner, and thus the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0033] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0034] The "and / or" mentioned in this application describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0035] Figure 1 It is a schematic diagram of an exemplary system architecture shown in an exemplary embodiment of the present application.

[0036] Reference Figure 1As shown, the system architecture may include a track door sensor device 110 and a computer device 120. The computer device 120 obtains the vibration sensor signal of the track shielding door through the track door sensor device 110, generates multiple groups of intrinsic mode components according to the vibration sensor signal, and respectively determines the kurtosis index and pulse index of each group of intrinsic mode components, determines the target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, pulse index and preset diagnosis array screening conditions, and performs diagnosis and analysis on the track shielding door according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain the fault diagnosis result of the track shielding door. The above-mentioned computer device 120 may be at least one of a microcomputer, an embedded computer, a network computer, a single-chip microcomputer, etc.; the above-mentioned track door sensor device 110 refers to a vibration sensor for collecting the vibration signal of the track shielding door, the above-mentioned vibration sensor is installed at the upper guide rail of the shielding door, and then receives the control signal of opening and closing the shielding door, and the vibration signal collector collects the vibration signal after receiving the switch signal of the slide rail movement.

[0037] Schematically, the computer device 120 obtains the vibration sensing signal of the track shielding door through the track door sensing device 110, generates multiple groups of intrinsic mode components according to the vibration sensing signal, and respectively determines the kurtosis index and impulse index of each group of intrinsic mode components, determines the target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, impulse index and preset diagnosis array screening conditions, diagnoses and analyzes the track shielding door according to the target intrinsic mode component and the preset reference intrinsic mode component, and obtains the fault diagnosis result of the track shielding door; the method can effectively detect the running state of the shielding door slide rail by extracting the optimal intrinsic mode component as the analysis object, combining statistical indicators and time domain feature analysis, and when the shielding door slide rail has an early fault, the fault can be detected, effectively avoiding accidents such as economic losses and casualties caused by the fault of the shielding door.

[0038] Figure 2 is a flow chart of a method for diagnosing a fault of a track screen door slide rail according to an exemplary embodiment of the present application. The method for diagnosing a fault of a track screen door slide rail can be Figure 1 The implementation environment may be implemented in other implementation environments, and the above implementation environments are not specifically limited here. Figure 2 As shown, the flow chart of the track screen door slide rail fault diagnosis method includes at least steps S210 to S240, which are described in detail as follows:

[0039] In step S210, a vibration sensor signal of the track screen door is obtained.

[0040] In one embodiment of the present application, the above-mentioned vibration sensing signal is collected based on a vibration sensing device. The vibration sensing signal refers to the vibration information of the mechanical equipment or structure captured by the vibration sensor, which can be used to monitor the status of the equipment, identify potential faults, and perform fault diagnosis. The vibration sensing signal usually includes various information about the vibration characteristics of the mechanical equipment, such as frequency, amplitude, phase, etc.

[0041] In one embodiment of the present application, the vibration sensor is installed on the guide rail above the shielding door, and then connected to the opening and closing control signal of the shielding door. The vibration signal collector collects vibration signals after receiving the switch signal of the slide rail movement.

[0042] In step S220, a plurality of groups of intrinsic mode components are generated according to the vibration sensing signal, and the kurtosis index and the impulse index of each group of intrinsic mode components are determined respectively.

[0043] In one embodiment of the present application, generating multiple groups of intrinsic mode components according to the vibration sensor signal includes performing an initial empirical mode decomposition on the vibration sensor signal to obtain comparative intrinsic mode components, and performing empirical mode decomposition on the vibration sensor signal again to obtain current intrinsic mode components. The above-mentioned empirical mode decomposition algorithm is performing data screening. Empirical Mode Decomposition (EMD) is an adaptive time series analysis method for decomposing complex signals into a group of simple signals called intrinsic mode components (IMFs). It is particularly suitable for the analysis of nonlinear and non-stationary signals and can effectively capture the intrinsic vibration modes in the signal. The essence is to obtain intrinsic mode components through the different time scales between different features in the data, and decompose the data into multiple components, wherein the decomposition process is performed cyclically, and the residual signal obtained from the previous decomposition is used as the input signal for the next decomposition.

[0044] The normalized difference metric index between the current intrinsic mode component and the comparison intrinsic mode component is calculated in real time. The normalized difference metric index is characterized as:

[0045]

[0046] Where DI is the normalized difference metric, n is the signal length of the intrinsic mode component, x1 is the comparison intrinsic mode component, and x2 is the current intrinsic mode component.

[0047] When the normalized difference metric index is less than the preset decomposition index threshold, the comparison intrinsic mode component is stored, the decomposition is terminated, and the current intrinsic mode component is updated to the new comparison intrinsic mode component to repeat the above empirical mode decomposition of the vibration sensor signal until the stored intrinsic mode components reach the preset number, the empirical mode decomposition is terminated, and the stored multiple groups of intrinsic mode components are output. In some specific implementations of the present application, a specific implementable value of the preset decomposition index threshold of the above normalized difference metric index can be 0.1, which is significant for monitoring and evaluating the state changes of mechanical equipment. In some other embodiments, the above preset decomposition index threshold can also be specifically set or experimentally calibrated according to the evaluation requirements, and the above preset decomposition index threshold is not specifically limited to a numerical value.

[0048] In one embodiment of the present application, the determination of the kurtosis index is characterized as follows:

[0049]

[0050] Among them, β is the kurtosis index, n is the signal length of the intrinsic mode component, and x is the intrinsic mode component;

[0051] The determination of the pulse index is characterized by:

[0052]

[0053] Among them, x max represents the maximum value in the signal, n is the signal length of the eigenmode component, and x is the eigenmode component.

[0054] In step S230, a target intrinsic mode component is determined in each group of intrinsic mode components according to a kurtosis index, an impulse index and a preset diagnostic array screening condition.

[0055] In one embodiment of the present application, the preset diagnostic array screening condition includes a group of intrinsic mode components whose pulse index is less than a preset pulse index threshold and whose kurtosis index is the largest.

[0056] In one embodiment of the present application, the intrinsic mode components in each group of intrinsic mode components whose pulse index is less than a preset pulse index threshold are determined as the first screened intrinsic mode components, and the group of intrinsic mode components with the largest kurtosis index in the first screened intrinsic mode components are determined as the target intrinsic mode components.

[0057] In some specific implementations of the present application, a group of intrinsic mode components with a pulse index less than 7 and a maximum kurtosis index are selected as the optimal intrinsic mode components.

[0058] In step S240, the track screen door is diagnosed and analyzed according to the target eigenmode component and the preset reference eigenmode component to obtain a fault diagnosis result of the track screen door.

[0059] In one embodiment of the present application, the preset reference intrinsic mode component refers to the optimal intrinsic mode component in the vibration signal collected from the track screen door in the initial factory state or in the state determined to be operating normally.

[0060] In one embodiment of the present application, a correlation degree is calculated based on a target intrinsic modal component and a preset reference intrinsic modal component to obtain a correlation coefficient, and a standard deviation of the target intrinsic modal component is calculated to obtain a target standard deviation. If the correlation coefficient is greater than a preset correlation coefficient threshold, and the target standard deviation is greater than a preset standard deviation threshold, it is determined that the track screen door is faulty. The preset standard deviation threshold is determined by the standard deviation of the preset reference intrinsic modal component. In some implementable environments, when the correlation coefficient exceeds a threshold of -0.25 and the real-time signal standard deviation exceeds 1.5 times the reference signal standard deviation, it indicates that a fault has occurred in the track screen door slide rail; if the correlation coefficient is less than or equal to the preset correlation coefficient threshold, and the target standard deviation is less than or equal to the preset standard deviation threshold, it is determined that the track screen door is normal.

[0061] In one embodiment of the present application, the correlation degree calculation based on the target intrinsic mode component and the preset reference intrinsic mode component is characterized as follows:

[0062]

[0063] Wherein, r is the correlation coefficient, n is the signal length of the intrinsic mode component, x is the preset reference intrinsic mode component, and y is the target intrinsic mode component.

[0064] In one embodiment of the present application, after determining that the track screen door is faulty, the single operation duration of the track screen door is obtained, and the time domain feature extraction is performed according to the target intrinsic mode component to obtain the abnormal period information of the slide rail operation, and the abnormal area distribution information of the abnormal operation of the slide rail is determined according to the abnormal period information of the slide rail operation and the single operation duration, and the abnormal area distribution information is sent to the terminal for display. For example, the single operation duration is 5 seconds, and the abnormal period information of the slide rail operation refers to the characteristic period when the target intrinsic mode component has abnormal vibration. Assuming it is 0.9-1.4 seconds, it can be determined that the abnormal vibration duration is 0.5 seconds, so it can be obtained that the abnormal area of ​​the slide rail accounts for about 10%, and the specific location of the slide rail abnormality can be determined in combination with the slide rail operation speed or the total length of the slide rail.

[0065] See also Figure 3 , Figure 3 FIG. 1 is a flow chart of a specific method for diagnosing a fault of a track screen door slide rail according to an exemplary embodiment of the present application. Figure 3As shown in the flowchart of the specific track screen door slide rail fault diagnosis method, the original vibration signal is collected according to the screen door switch control signal and the vibration acceleration sensor as the signal source of the vibration signal collector, and the collected original vibration signal is subjected to empirical mode decomposition. When the normalized difference measurement index between the current intrinsic mode component after decomposition and the comparison intrinsic mode component of the previous decomposition is less than the preset index, the decomposition is stopped, and the kurtosis index and the impulse index of each group of intrinsic mode components are solved respectively, and then the optimal intrinsic mode component is selected according to the kurtosis index and the impulse index, and the optimal intrinsic mode component is compared and analyzed with the optimal mode component under the normal state to determine the abnormal state of the track screen door. If the abnormal state exists, the current optimal intrinsic mode component is analyzed in the time domain to locate and quantify the fault damage area.

[0066] In a specific embodiment of the present application, an actual application experiment is conducted based on the above steps. The experimental object is a rail screen door operating life test bench. The average speed of the screen door is about 333mm / s. The vibration acceleration sensor is placed on the edge of the slide rail. The vibration signal of the slide rail under normal conditions is first collected. In order to simulate the natural wear failure of the slide rail, metal powder is sprinkled on a part of the guide rail. The slide rail is continuously operated for a period of time until a scratch of about 0.5mm deep appears on the slide rail. Then the vibration signal under the state of the slide rail wear failure is collected. The acquisition card used in the experiment is NI USB9232, and the sampling frequency is set to 102.4k.

[0067] Figure 1 The flowchart of the present invention is as follows. The steps of applying the method of the present invention to extract the features of the slide rail wear fault of the platform shielding door in this embodiment are as follows:

[0068] Step 1. Use the acceleration sensor and NI USB9232 acquisition card to collect vibration signals, and set the sampling frequency to 102.4kHz.

[0069] Step 2. Perform empirical mode decomposition on the vibration signals collected under the two operating conditions respectively. When the normalized difference measurement index is less than 0.1, stop the decomposition and obtain the decomposition results, i.e., multiple groups of intrinsic mode components. The decomposition results of the normal state of the shield door slide rail contain 20 groups of intrinsic mode components, and the decomposition results of the natural wear state contain 21 groups of intrinsic mode components.

[0070] Step 3. Calculate the kurtosis index and pulse index of each group of intrinsic mode components respectively, and select a group of intrinsic mode components with a pulse index less than 7 and the largest kurtosis index as the optimal intrinsic mode components. The amplitude of the optimal intrinsic mode components under the wear fault state is higher than that in the normal state, and there are more abnormal impacts, and the wear fault characteristics are obvious.

[0071] Step 4. Take the optimal intrinsic mode component obtained under the normal operation of the track shield door slide as the reference signal, calculate the correlation coefficient and standard deviation between the reference signal and the optimal intrinsic mode component obtained under the wear fault state. The correlation coefficient is -0.61, which exceeds the preset threshold. The standard deviation of the intrinsic mode component under the wear fault state (0.2239) is 2.6 times the standard deviation of the reference signal (0.0858), which is more than 1.5 times, indicating that the track shield door slide has a fault.

[0072] Step 5. Finally, by analyzing the time domain characteristics of the intrinsic mode components under the wear fault state, the intrinsic mode components of the period from the door opening action to the door opening limit are intercepted for analysis. It is found that the time period for the abnormal impact is from 2.189s to 3.08s, which lasts for 0.891s. The door opening action takes a total of about 4s. Therefore, the fault area of ​​the slide rail accounts for about 22% of the entire slide rail length. The analysis results are consistent with the experimental prefabricated fault.

[0073] The effectiveness of the scheme in the above embodiment for diagnosing and detecting the fault of the track screen door slide rail is verified through the analysis of the track screen door slide rail fault experiment.

[0074] The present invention provides a method, system, device and medium for diagnosing a fault of a track shielding door slide rail. The method generates a plurality of groups of intrinsic mode components according to the vibration sensor signal of the track shielding door, and respectively determines the kurtosis index and pulse index of each group of intrinsic mode components. The target intrinsic mode component is determined in each group of intrinsic mode components according to the kurtosis index, the pulse index and the preset diagnosis array screening condition. The track shielding door is diagnosed and analyzed according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain the fault diagnosis result of the track shielding door. The method can effectively detect the running state of the shielding door slide rail by extracting the optimal intrinsic mode component as the analysis object, combining the statistical index and the time domain characteristic analysis. When the shielding door slide rail has an early fault, the fault can be detected, and the economic loss and casualties caused by the fault of the shielding door are effectively avoided.

[0075] The following introduces the system embodiment of the present application, which can be used to execute the track screen door slide rail fault diagnosis method in the above embodiment of the present application. For details not disclosed in the system embodiment of the present application, please refer to the embodiment of the track screen door slide rail fault diagnosis method in the above embodiment of the present application.

[0076] Figure 4 is a schematic diagram of a rail screen door slide rail fault diagnosis system shown in an exemplary embodiment of the present application. The system can be applied to Figure 2 The method implementation process shown in the figure can be based on Figure 1The system is executed in the implementation environment shown in the figure, and may also be applicable to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the system is applicable.

[0077] like Figure 4 As shown, the exemplary track screen door slide rail fault diagnosis system includes: a sensor data acquisition module 401, a target diagnosis parameter determination module 402 and an operation fault diagnosis module 403.

[0078] Among them, the sensor data acquisition module 401 is used to obtain the vibration sensor signal of the track shielding door, which includes a vibration sensor, which is installed at the guide rail above the shielding door and is connected to the control signal of opening and closing the shielding door. The vibration signal collector collects the vibration signal after receiving the switch signal of the slide rail movement; the target diagnosis parameter determination module 402 is used to generate multiple groups of intrinsic mode components according to the vibration sensor signal, and respectively determine the kurtosis index and impulse index of each group of intrinsic mode components; determine the target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, impulse index and preset diagnosis array screening conditions; the operation fault diagnosis module 403 is used to diagnose and analyze the track shielding door according to the target intrinsic mode component and the preset reference intrinsic mode component to obtain the fault diagnosis result of the track shielding door.

[0079] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by one or more processors, the electronic device implements the track shield door slide rail fault diagnosis method provided in the above-mentioned embodiments.

[0080] Figure 5 is a schematic diagram of the structure of a computer system of an electronic device according to an exemplary embodiment of the present application. It should be noted that: Figure 5 The computer system 500 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0081] like Figure 5As shown, computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in read-only memory (ROM) 502 or the program loaded from the storage part to random access memory (RAM) 503, such as executing the method in the above embodiment. In RAM 503, various programs and data required for system operation are also stored. CPU 501, ROM 502 and RAM 503 are connected to each other through a bus. Input / output (I / O) interface 505 is also connected to bus 504.

[0082] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0083] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0084] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0085] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Among them, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0086] In the corresponding drawings of the above embodiments, connecting lines may indicate the connection relationship between the various components to indicate more constituent signal paths (constituent_signalpath) and / or one or more ends of some lines may have arrows to indicate the main information flow direction. Connecting lines, as a mark, are not a limitation to the scheme itself, but the use of these lines in combination with one or more exemplary embodiments helps to connect circuits or logic units more easily. Any represented signal (determined by design requirements or preferences) may actually include one or more signals that can be transmitted in either direction and implemented with any appropriate type of signal scheme.

[0087] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0088] Another aspect of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. The computer-readable storage medium may be included in the electronic device described in the above embodiment, or may exist independently without being assembled into the electronic device.

[0089] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0090] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0091] It should be noted that the present application can be used in many general or special computing system environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0092] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0093] It should be understood that the above content of the present application is only a preferred exemplary embodiment of the present application and is not intended to limit the implementation scheme of the present application. Ordinary technicians in this field can easily make corresponding changes or modifications based on the main concept and spirit of the present application. Therefore, the scope of protection of the present application should be the scope of protection required by the claims.

Claims

1. A method for diagnosing a fault of a track screen door slide rail, characterized in that: The track screen door slide rail fault diagnosis method comprises: Obtain vibration sensor signals of track screen doors; Generate multiple groups of intrinsic mode components according to the vibration sensing signal, and determine the kurtosis index and impulse index of each group of intrinsic mode components respectively; Determining a target intrinsic mode component in each group of intrinsic mode components according to the kurtosis index, the pulse index and the preset diagnostic array screening condition; The track screen door is diagnosed and analyzed according to the target eigenmodal component and the preset reference eigenmodal component to obtain a fault diagnosis result of the track screen door.

2. The method for diagnosing a fault of a rail screen door according to claim 1, characterized in that: Determining the target eigenmode component in each group of eigenmode components according to the kurtosis index, the pulse index and the preset diagnostic array screening condition includes: Determine the eigenmode components whose pulse index is less than a preset pulse index threshold value in each group of the eigenmode components as the first screening eigenmode components; A group of eigenmode components with the largest kurtosis index among the first screened eigenmode components is determined as target eigenmode components.

3. The method for diagnosing a fault of a track screen door slide rail according to claim 1, characterized in that: The track screen door is diagnosed and analyzed according to the target eigenmode component and the preset reference eigenmode component, and the fault diagnosis result of the track screen door is obtained, including: Calculating the degree of correlation between the target intrinsic mode component and the preset reference intrinsic mode component to obtain a correlation coefficient, and calculating the standard deviation of the target intrinsic mode component to obtain a target standard deviation; If the correlation coefficient is greater than a preset correlation coefficient threshold, and the target standard deviation is greater than a preset standard deviation threshold, then it is determined that the track screen door is faulty, and the preset standard deviation threshold is determined by the standard deviation of the preset reference intrinsic mode component; If the correlation coefficient is less than or equal to a preset correlation coefficient threshold, and the target standard deviation is less than or equal to a preset standard deviation threshold, it is determined that the track screen door is normal.

4. The method for diagnosing a fault of a rail screen door according to claim 3, characterized in that: The correlation degree calculation based on the target intrinsic mode component and the preset reference intrinsic mode component is characterized as follows: Wherein, r is the correlation coefficient, n is the signal length of the intrinsic mode component, x is the preset reference intrinsic mode component, and y is the target intrinsic mode component.

5. The method for diagnosing a fault of a rail screen door according to claim 3, characterized in that: After determining that the track screen door has a fault, the track screen door slide rail fault diagnosis method further includes: Obtaining a single running time of the track screen door; Extract time domain features according to the target intrinsic mode components to obtain information about the abnormal period of rail operation; The abnormal area distribution information of the abnormal operation of the slide rail is determined according to the abnormal time period information of the slide rail operation and the single operation duration, and the abnormal area distribution information is sent to the terminal for display.

6. The method for diagnosing a fault of a rail screen door slide rail according to any one of claims 1 to 5, characterized in that: Generating a plurality of groups of intrinsic mode components according to the vibration sensing signal comprises: Performing a primary empirical mode decomposition on the vibration sensor signal to obtain comparative eigenmode components; The vibration sensor signal is subjected to empirical mode decomposition again to obtain the current intrinsic mode component, and the normalized difference metric index between the current intrinsic mode component and the comparison intrinsic mode component is calculated in real time. The normalized difference metric index is characterized as: Where DI is the normalized difference metric, n is the signal length of the intrinsic mode component, x1 is the comparison intrinsic mode component, and x2 is the current intrinsic mode component; When the normalized difference metric index is less than the preset decomposition index threshold, the contrasting intrinsic mode component is stored, the decomposition is terminated, and the current intrinsic mode component is updated to a new contrasting intrinsic mode component; Repeat the empirical mode decomposition of the vibration sensing signal until the stored intrinsic mode components reach a preset number, terminate the empirical mode decomposition, and output the stored multiple groups of intrinsic mode components.

7. The method for diagnosing a fault of a rail screen door according to any one of claims 1 to 5, characterized in that: In respectively determining the kurtosis index and the impulse index of each group of eigenmode components, the determination of the kurtosis index is characterized as follows: Among them, β is the kurtosis index, n is the signal length of the intrinsic mode component, and x is the intrinsic mode component; The determination of the pulse index is characterized by: Among them, x max represents the maximum value in the signal, n is the signal length of the eigenmode component, and x is the eigenmode component.

8. A rail screen door slide rail fault diagnosis system, characterized in that: The track screen door slide rail fault diagnosis system comprises: A sensor data acquisition module, used to acquire vibration sensor signals of the track shield door; A target diagnostic parameter determination module is used to generate multiple groups of intrinsic modal components according to the vibration sensor signal, and respectively determine the kurtosis index and pulse index of each group of intrinsic modal components; determine the target intrinsic modal component in each group of intrinsic modal components according to the kurtosis index, pulse index and preset diagnostic array screening conditions; A fault diagnosis module is run to diagnose and analyze the track screen door according to the target eigenmode component and the preset reference eigenmode component to obtain a fault diagnosis result of the track screen door.

9. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the electronic device to implement the track shield door slide rail fault diagnosis method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by a processor of a computer, the computer is caused to execute the method for diagnosing a fault of a track screen door slide rail as claimed in any one of claims 1 to 7.

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