A magnetic levitation turnout fault diagnosis method and system

Abstract

The present application discloses a method and system for diagnosing faults of maglev turnouts, the method comprising the following steps: installing a sensor at a preset position; acquiring status data of the maglev turnout through the sensor; analyzing and processing the status data to obtain a turnout fault diagnosis result; the method acquires status data of key components of the maglev turnout through multiple sensors, fuses the acquired data with a centralized system architecture, and obtains a turnout fault diagnosis result after unified data analysis and processing, giving full play to the advantages of intelligent data acquisition, analysis and processing, thereby reducing the workload of operation and maintenance such as on-site inspections of the maglev turnout, and realizing intelligent, efficient and real-time turnout status monitoring; the system has the same beneficial effects.

Description

Technical Field

[0001] The present application relates to the technical field of maglev turnouts, and in particular to a maglev turnout fault diagnosis method and system. Background Art

[0002] Maglev turnouts are key switching equipment for medium and low-speed maglev lines. Their maintenance and repair modes are also based on wheel-rail transportation as a reference example, and are mainly based on planned maintenance and fault repair. That is, daily, weekly or monthly inspections are carried out, or maintenance is carried out when a turnout fails. This is a passive maintenance mechanism, and maintenance lacks specificity and cannot predict and discover faults in a timely manner, which is not conducive to the safety of line operation.

[0003] In order to monitor the working status of the maglev turnout and perform fault diagnosis and prediction of the maglev turnout, the existing technical solutions rely on the fault self-diagnosis information provided by the maglev turnout electronic control system, mainly based on the fault information of components such as limit switches, circuit breakers, contactors, and relays. However, this information is relatively scattered and difficult to be effectively integrated. It cannot intuitively reflect some key working status information of the maglev turnout, and it is difficult to effectively support the judgment of the overall working status of the turnout and the faults of key operating components.

[0004] In view of this, providing a maglev turnout fault diagnosis method and system capable of remote intelligent monitoring and fault diagnosis is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a maglev turnout fault diagnosis method and system, which gives full play to the advantages of intelligent data collection, analysis and processing, thereby reducing the workload of operation and maintenance such as on-site inspections of maglev turnouts, and realizing intelligent, efficient and real-time turnout status monitoring.

[0006] The first object of the present invention is to provide a method for diagnosing faults of a magnetic levitation turnout; The technical solution provided by the present invention is as follows: A method for diagnosing a fault of a magnetic levitation turnout comprises the following steps: Install sensors at pre-set locations; Acquiring state data of the maglev turnout through the sensor; The state data is analyzed and processed to obtain a turnout fault diagnosis result.

[0007] Preferably, the step of installing a sensor at a preset position specifically includes: Vibration speed transmitters are installed on the lock pin motor and the crank reduction motor respectively.

[0008] Preferably, the step of installing a sensor at a preset position further specifically includes: An ultrasonic proximity switch and a first noise sensor are installed on an I-shaped mounting frame of a travel switch in a lock pin box.

[0009] Preferably, the step of installing a sensor at a preset position further specifically includes: Install the displacement sensor and the second noise sensor on the equipment mounting platform of the crank gear box.

[0010] Preferably, the acquiring the state data of the maglev turnout through the sensor specifically includes: collecting vibration data of the lock pin by means of the vibration velocity transmitter; Collecting displacement data of the lock pin through the ultrasonic proximity switch; The noise data of the lock pin is collected by the first noise sensor.

[0011] Preferably, the acquiring the state data of the magnetic levitation turnout by the sensor specifically further comprises: collecting vibration data of the crank by means of the vibration velocity transmitter; Collecting displacement data of the crank by means of the displacement sensor; The noise data of the crank is collected by the second noise sensor.

[0012] Preferably, analyzing and processing the state data to obtain a turnout fault diagnosis result specifically includes: The working state of the turnout is obtained according to the displacement data of the locking pin and the crank.

[0013] Preferably, the analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: According to the working state of the turnout, respectively obtain the maximum allowable values ​​of the vibration data and the noise data of the lock pin; The maximum allowable values ​​of the vibration data and the noise data of the crank are respectively obtained according to the working state of the turnout.

[0014] Preferably, the analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: comparing the vibration data and the noise data of the locking pin and the crank in a preset working state with the maximum allowable values ​​of the locking pin and the crank respectively; If the vibration data and noise data of the lock pin and the crank in the preset working state are greater than the maximum allowable value of the lock pin, it is concluded that the lock pin component of the turnout is faulty; If the vibration data and noise data of the locking pin and the crank in the preset working state are greater than the maximum allowable value of the crank, it is concluded that the crank component of the turnout is faulty; Wherein, the maximum allowable value of the lock pin includes: the maximum allowable value of the vibration data and the maximum allowable value of the noise data of the lock pin; The maximum allowable value of the crank includes: a maximum allowable value of vibration data of the crank and a maximum allowable value of noise data.

[0015] Preferably, the analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: The abnormal fault of the turnout switching is obtained according to the displacement data of the locking pin and the displacement data of the crank.

[0016] The second object of the present invention is to provide a magnetic levitation turnout fault diagnosis system; The technical solution provided by the present invention is as follows: A maglev turnout fault diagnosis system, comprising: an installation module, an acquisition module and an analysis module; The installation module is used to install the sensor at a preset position; The acquisition module is used to acquire the state data of the maglev turnout through the sensor; The analysis module is used to analyze and process the status data to obtain a turnout fault diagnosis result.

[0017] The third object of the present invention is to provide an electronic device; The technical solution provided by the present invention is as follows: An electronic device, comprising: at least one processor; and A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor so that the at least one processor can perform any one of the method steps described in a method for diagnosing a magnetic levitation turnout fault.

[0018] A fourth object of the present invention is to provide a computer readable storage medium; The technical solution provided by the present invention is as follows: A computer-readable storage medium is used to store a computer program, and the computer program is used to enable a computer to execute any one of the method steps described in a magnetic levitation turnout fault diagnosis method.

[0019] The present invention provides a method for diagnosing faults of a maglev turnout, comprising the following steps: installing a sensor at a preset position; acquiring state data of the maglev turnout through the sensor; analyzing and processing the state data to obtain a turnout fault diagnosis result; the method acquires state data of key components of the maglev turnout through a plurality of sensors, fuses the acquired data through a centralized system architecture, and obtains a turnout fault diagnosis result after unified data analysis and processing, giving full play to the advantages of intelligent data acquisition, analysis and processing, thereby reducing the workload of operation and maintenance such as on-site inspection of the maglev turnout, and realizing intelligent, efficient and real-time turnout state monitoring.

[0020] The present invention also provides a maglev turnout fault diagnosis system. Since the system and the maglev turnout fault diagnosis method solve the same technical problem and belong to the same technical concept, they should have the same beneficial effects and will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A schematic diagram of a flow chart of a magnetic levitation turnout fault diagnosis method according to an embodiment of the present invention; Figure 2 A schematic diagram of a specific flow chart of a method for diagnosing a fault of a magnetic levitation turnout according to an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a magnetic levitation turnout fault diagnosis system in an embodiment of the present invention; Figure 4 The figure is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0024] It should be noted that when an element is referred to as being "fixed on" or "set on" another element, it can be directly on the other element or indirectly set on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0025] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0026] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "multiple" and "several" mean two or more, unless otherwise clearly and specifically defined.

[0027] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the effects and purposes that can be achieved by this application.

[0028] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a method for diagnosing a fault of a magnetic levitation turnout, comprising the following steps: S1. Install the sensor at the preset position; S2. Obtaining the status data of the maglev turnout through the sensor; S3. Analyze and process the status data to obtain turnout fault diagnosis results.

[0029] In step S1 to step S3, a plurality of sensors are installed at preset positions of the maglev turnout, and the status data of the maglev turnout is collected in real time by the plurality of sensors. Then, the collected status data of the maglev turnout is fused, analyzed and processed to obtain the fault diagnosis result of the maglev turnout, realize the monitoring of the overall working status of the maglev turnout, and perform fault warning of key components of the maglev turnout, which can make up for the deficiency of monitoring the working status of the turnout relying on the fault self-diagnosis information of the maglev turnout electric control cabinet, assist the maintenance personnel of the maglev turnout to make preventive maintenance decisions, and improve the maintenance efficiency.

[0030] Preferably, the step of installing a sensor at a preset position specifically includes: Vibration speed transmitters are installed on the lock pin motor and the crank reduction motor respectively.

[0031] In actual use, the vibration velocity transmitter connecting plate is installed using the eye screw hole on the upper side of the locking pin device motor, and then the vibration velocity transmitter is installed on the fixed vibration velocity transmitter connecting plate. The vibration condition of the motor is measured by the vibration velocity transmitter to monitor the vibration state of the locking pin device during movement; the vibration velocity transmitter connecting plate is installed using the eye screw hole on the upper side of the crank reduction motor, and then the vibration velocity transmitter is installed on the fixed vibration velocity transmitter connecting plate. The vibration condition of the motor is measured by the vibration velocity transmitter to monitor the vibration state of the crank mechanism during movement.

[0032] Preferably, the step of installing a sensor at a preset position further specifically includes: An ultrasonic proximity switch and a first noise sensor are installed on an I-shaped mounting frame of a travel switch in a lock pin box.

[0033] In actual use, the lock pin box of the maglev turnout is located between the lock pin shaft and the drive motor. The lock pin box is fixed to the bottom surface of the turnout track and becomes one with the track. The ultrasonic proximity switch and the first noise sensor are fixed to the I-shaped mounting frame of the travel switch in the lock pin box through the sensor mounting frame; the ultrasonic proximity switch and the first noise sensor are respectively installed on the mounting holes corresponding to the sensor mounting frame. After installation, the detection distance of the ultrasonic proximity switch is 30mm~500mm, and the ultrasonic proximity switch sensing surface and the ultrasonic proximity switch target plate cannot be blocked, and the minimum area of ​​the target plate is 100*100mm; wherein, the ultrasonic proximity switch target plate mounting frame is fixed with bolts and nuts on the lower side of the lock pin, spring washers and flat washers; the ultrasonic proximity switch target plate is fixed to the ultrasonic proximity switch target plate mounting frame with flat washers and bolts. The first noise sensor used in this embodiment is an analog noise sensor.

[0034] Preferably, the step of installing a sensor at a preset position further specifically includes: Install the displacement sensor and the second noise sensor on the equipment mounting platform of the crank gear box.

[0035] In actual use, a sensor installation box is installed on the equipment installation platform of the crank gear box, and then a displacement sensor and a second noise sensor are placed in the installation box. The installation box used has waterproof and dustproof functions. This embodiment uses a wire displacement sensor and an analog noise sensor, wherein the wire displacement sensor is used to monitor the crank turning angle, and the turning angle is obtained by converting the displacement of the wire displacement sensor thread in combination with the shaft diameter.

[0036] Preferably, the acquiring the state data of the maglev turnout through the sensor specifically includes: collecting vibration data of the lock pin by means of the vibration velocity transmitter; Collecting displacement data of the lock pin through the ultrasonic proximity switch; The noise data of the lock pin is collected by the first noise sensor.

[0037] In actual use, the displacement of the lock pin is detected by an ultrasonic proximity switch, the vibration of the lock pin is detected by an analog noise sensor, and the vibration of the lock pin is detected by a vibration velocity transmitter.

[0038] Preferably, the acquiring the state data of the magnetic levitation turnout by the sensor specifically further comprises: collecting vibration data of the crank by means of the vibration velocity transmitter; Collecting displacement data of the crank by means of the displacement sensor; The noise data of the crank is collected by the second noise sensor.

[0039] In actual application, a wire displacement sensor is used to detect the crank displacement angle, an analog noise sensor is used to detect the crank vibration, and a vibration speed transmitter is used to detect the crank vibration.

[0040] Preferably, analyzing and processing the status data to obtain a turnout fault diagnosis result specifically includes: The working state of the turnout is obtained according to the displacement data of the locking pin and the crank.

[0041] In the actual operation process, the working state of the turnout is determined according to the displacement data of the locking pin and the crank. The working states of the maglev turnout are divided into three types: positioned, reversed, and in movement. Measure the displacement data of the locking pin and the crank under each working state of the turnout. When the maglev turnout is in the positioned state, measure the displacement data of the locking pin and the crank, and record them as L1 and L2 respectively; when the maglev turnout is in the reversed state, measure the displacement data of the locking pin and the crank, and record them as L3 and L4 respectively; record the real-time displacement data of the locking pin collected by the ultrasonic proximity switch as x, and record the real-time displacement data of the crank collected by the wire displacement sensor as y, and then judge the working state of the maglev turnout: (1) The maglev turnout is in the positioned state: x = L1 and y = L2; (2) The maglev turnout is in the reversed state: x = L3 and y = L4; (3) The maglev turnout is in the moving state: x < min(L1, L3) and L2 < y < L4.

[0042] Preferably, the analysis and processing of the state data to obtain the turnout fault diagnosis result specifically further includes: Obtain the maximum allowable values of the vibration data and noise data of the locking pin according to the working state of the turnout respectively; Obtain the maximum allowable values of the vibration data and noise data of the crank according to the working state of the turnout respectively.

[0043] In the actual operation process, collect the vibration, noise data of the locking pin and the vibration, noise data of the crank during a certain period of time when the maglev turnout is in the three normal operating states of positioned, reversed, and in movement respectively for historical data collection and analysis. Obtain the maximum allowable value of the locking pin vibration and the maximum allowable value of the locking pin noise according to the working state of the maglev turnout and the vibration, noise data of the locking pin, and obtain the maximum allowable value of the crank vibration and the maximum allowable value of the crank noise according to the working state of the maglev turnout and the vibration, noise data of the crank.

[0044] Taking the maglev turnout in the moving working state as an example, calculate the maximum allowable values of the vibration of the locking pin and the crank as V 1max , V 2max ; the maximum allowable values of the noise of the locking pin and the crank are N 1max , N 2max ; 1) The calculation process of the maximum allowable value V 1max of the locking pin vibration is as follows: V 1max = max{v 11 , v 12 , v 13 , …, v 1n} where v 1nIt is the n lock pin vibration data recorded within a certain period of time.

[0045] 2) Maximum allowable value of crank vibration V 2max The calculation process is as follows: V 2max =max{v 21 ,v 22 ,v 23 ,…,v 2n} Among them, v 2n It is the n crank vibration data recorded within a certain period of time.

[0046] 3) Maximum allowable value of lock pin noise N 1max The calculation process is as follows: N 1max =max{n 11 ,n 12 ,n 13 ,…,n 1n} Among them, n 1n It is the n lock pin vibration data recorded within a certain period of time.

[0047] 4) Maximum allowable value of crank noise N 2max The calculation process is as follows: N 2max =max{n 21 ,n 22 ,n 23 ,…,n 2n} Among them, n 2n It is the n crank vibration data recorded within a certain period of time.

[0048] Preferably, the analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: comparing the vibration data and the noise data of the locking pin and the crank in a preset working state with the maximum allowable values ​​of the locking pin and the crank respectively; If the vibration data and noise data of the lock pin and the crank in the preset working state are greater than the maximum allowable value of the lock pin, it is concluded that the lock pin component of the turnout is faulty; If the vibration data and noise data of the locking pin and the crank in the preset working state are greater than the maximum allowable value of the crank, it is concluded that the crank component of the turnout is faulty; Wherein, the maximum allowable value of the lock pin includes: the maximum allowable value of the vibration data and the maximum allowable value of the noise data of the lock pin; The maximum allowable value of the crank includes: a maximum allowable value of vibration data of the crank and a maximum allowable value of noise data.

[0049] In the actual operation process, the real-time detection data of the vibration and noise of the locking pin and the crank under different working states are respectively compared with the maximum allowable values of the vibration and noise of the locking pin and the crank. If the maximum allowable values of the vibration and noise of the locking pin and the crank are exceeded, the turnout fault diagnosis result is obtained. Taking the turnout in the moving working state as an example, the real-time detection data of the vibration of the locking pin and the crank are respectively recorded as: v1, v2; the real-time detection data of the noise of the locking pin and the crank are respectively recorded as: n1, n2.

[0050] When v1 > V 1max or n1 > N 1max , a fault of the locking pin component is obtained and a warning is given.

[0051] When v2 > V 2max or n2 > N 2max , a fault of the crank component is obtained and a warning is given.

[0052] Preferably, the analysis and processing of the state data to obtain the turnout fault diagnosis result specifically further includes: Obtaining a turnout abnormal switching fault according to the displacement data of the locking pin and the displacement data of the crank.

[0053] In the actual operation process, after the turnout switching is started, through the locking pin travel switch, according to the locking pin travel and the crank displacement conditions x < min(L1, L3), and L2 < y < L4, it is judged that the turnout is in the moving working state. Within 15 seconds (in accordance with the requirements of the maglev turnout design specification), if the locking pin travel and the crank displacement do not meet the positioning condition (x = L1, and y = L2) or the reverse position condition (x = L3, and y = L4), a turnout switching timeout fault is obtained and a warning is given.

[0054] After the turnout switching is started, through the locking pin travel switch, the locking pin travel and the crank displacement conditions x < min(L1, L3), and L2 < y < L4 are used to judge that the turnout is in the moving working state. Within 30 seconds (in accordance with the requirements of the maglev turnout design specification), if the locking pin travel and the crank displacement do not meet the positioning condition (x = L1, and y = L2) or the reverse position condition (x = L3, and y = L4), a turnout switching abnormal fault is obtained and a warning is given.

[0055] As Figure 3 shown, an embodiment of the present invention provides a maglev turnout fault diagnosis system, including: an installation module, an acquisition module, and an analysis module; The installation module is used to install sensors at preset positions; The acquisition module is used to obtain the state data of the maglev turnout through the sensors; The analysis module is used to analyze and process the status data to obtain a turnout fault diagnosis result.

[0056] In actual application, an installation module, an acquisition module and an analysis module are set up; the acquisition module is connected to the installation module and the analysis module respectively; the installation module enters the acquisition module after installing the sensor at the preset position; the acquisition module obtains the status data of the maglev turnout according to the sensor, and then transmits the status data of the maglev turnout to the analysis module; the analysis module analyzes and processes the status data to obtain the turnout fault diagnosis result; this system fully utilizes the advantages of intelligent data collection, analysis and processing through the cooperation of the installation module, the acquisition module and the analysis module, thereby reducing the workload of operation and maintenance such as on-site inspection of the maglev turnout, and realizing intelligent, efficient and real-time turnout status monitoring.

[0057] Furthermore, the present application also discloses an electronic device. Figure 4 This is a structural diagram of an electronic device according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0058] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the magnetic levitation turnout fault diagnosis method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0059] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0060] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222 and data 223, etc. The storage method can be temporary storage or permanent storage.

[0061] The operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device 20, so as to realize the operation and processing of the data 223 in the memory 22 by the processor 21, which can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete the magnetic levitation turnout fault diagnosis method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks. In addition to including data transmitted from an external device received by the magnetic levitation turnout fault diagnosis device, the data 223 can also include data collected by its own input and output interface 25, etc.

[0062] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0063] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the above-disclosed magnetic levitation turnout fault diagnosis method is implemented. The specific steps of the method can refer to the corresponding contents disclosed in the above-disclosed embodiments, and will not be repeated here.

[0064] It should be understood that if "method", "device", "unit" and / or "module" are used in this application, it is only a method for distinguishing different components, elements, parts, parts or assemblies at different levels. However, if other words can achieve the same purpose, the word can be replaced by other expressions.

[0065] As shown in this application and claims, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements. The elements defined by the sentence "includes a..." do not exclude the existence of other identical elements in the process, method, commodity or device that includes the elements.

[0066] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0067] If a flow chart is used in the present application, the flow chart is used to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, each step can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or a certain step or several steps of operations can be removed from these processes.

[0068] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for diagnosing faults of a maglev turnout, characterized in that: The steps include: Install sensors at pre-set locations; Acquiring state data of the maglev turnout through the sensor; The state data is analyzed and processed to obtain a turnout fault diagnosis result.

2. The magnetic levitation turnout fault diagnosis method according to claim 1, characterized in that: The step of installing the sensor at the preset position specifically includes: Vibration speed transmitters are installed on the lock pin motor and the crank reduction motor respectively.

3. The magnetic levitation turnout fault diagnosis method according to claim 2, characterized in that: The step of installing the sensor at the preset position further specifically includes: An ultrasonic proximity switch and a first noise sensor are installed on an I-shaped mounting frame of a travel switch in a lock pin box.

4. The magnetic levitation turnout fault diagnosis method according to claim 3 is characterized in that: The step of installing the sensor at the preset position further specifically includes: Install the displacement sensor and the second noise sensor on the equipment mounting platform of the crank gear box.

5. The method for diagnosing faults of a maglev turnout according to claim 4, characterized in that: The step of obtaining the state data of the magnetic levitation turnout through the sensor specifically includes: collecting vibration data of the lock pin by means of the vibration velocity transmitter; Collecting displacement data of the lock pin through the ultrasonic proximity switch; The noise data of the lock pin is collected by the first noise sensor.

6. The method for diagnosing faults of a maglev turnout according to claim 5, characterized in that: The obtaining of the state data of the magnetic levitation turnout by the sensor specifically includes: collecting vibration data of the crank by means of the vibration velocity transmitter; Collecting displacement data of the crank by means of the displacement sensor; The noise data of the crank is collected by the second noise sensor.

7. The method for diagnosing faults of a maglev turnout according to claim 6, characterized in that: The analyzing and processing of the state data to obtain the turnout fault diagnosis result specifically includes: The working state of the turnout is obtained according to the displacement data of the locking pin and the crank.

8. The method for diagnosing faults of a maglev turnout according to claim 7, characterized in that: The analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: According to the working state of the turnout, respectively obtain the maximum allowable values ​​of the vibration data and the noise data of the lock pin; The maximum allowable values ​​of the vibration data and the noise data of the crank are respectively obtained according to the working state of the turnout.

9. The method for diagnosing faults of a maglev turnout according to claim 8, characterized in that: The analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: comparing the vibration data and the noise data of the locking pin and the crank in a preset working state with the maximum allowable values ​​of the locking pin and the crank respectively; If the vibration data and noise data of the lock pin and the crank in the preset working state are greater than the maximum allowable value of the lock pin, it is concluded that the lock pin component of the turnout is faulty; If the vibration data and noise data of the locking pin and the crank in the preset working state are greater than the maximum allowable value of the crank, it is concluded that the crank component of the turnout is faulty; Wherein, the maximum allowable value of the lock pin includes: the maximum allowable value of the vibration data and the maximum allowable value of the noise data of the lock pin; The maximum allowable value of the crank includes: a maximum allowable value of vibration data of the crank and a maximum allowable value of noise data.

10. The method for diagnosing faults of a maglev turnout according to claim 6, characterized in that: The analyzing and processing of the state data to obtain a turnout fault diagnosis result specifically includes: The abnormal fault of the turnout switching is obtained according to the displacement data of the locking pin and the displacement data of the crank.

11. A maglev turnout fault diagnosis system, characterized in that: include: Install modules, obtain modules, and analyze modules; The installation module is used to install the sensor at a preset position; The acquisition module is used to acquire the state data of the maglev turnout through the sensor; The analysis module is used to analyze and process the status data to obtain a turnout fault diagnosis result.

12. An electronic device, characterized in that: include: at least one processor; as well as A memory communicatively connected to the at least one processor, the memory storing a computer program executable by the at least one processor, the computer program being executed by the at least one processor so that the at least one processor can execute the method of any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: The storage medium is used to store a computer program, and the computer program is used to enable a computer to execute the method according to any one of claims 1 to 10.

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