Motor train unit door opening and closing solenoid valve fault detection method, device and equipment

Abstract

The invention provides a motor train unit door opening and closing electromagnetic valve fault detection method, device and equipment, and can be applied to the technical field of rail transit. The motor train unit door opening and closing electromagnetic valve fault detection method comprises the steps that in response to a motor train unit door opening and closing electromagnetic valve detection request, a current signal, changing along with time, of a coil in an electromagnetic valve is obtained through measurement, and the size of the current signal is related to the working state of a valve element in the electromagnetic valve; on the basis of processing of the current signal, the working state of a valve element of the electromagnetic valve is divided into N working states, and N is an integer larger than 1; on the basis of the N sets of target current signals in the N working states, the magnetic resistance change rate index and the action performance index of the electromagnetic valve are obtained through calculation, and each working state corresponds to one set of target current signals; and determining fault information of the electromagnetic valve according to the magnetic resistance change rate index and the action performance index.

Description

Technical Field

[0001] The present disclosure relates to the field of rail transit technology, and in particular to a method, device and equipment for detecting faults of a solenoid valve for opening and closing doors of a motor vehicle unit. Background Art

[0002] With the high-speed and modernization of railway transportation, EMUs came into being. Compared with traditional trains, EMUs are faster and have shorter stop times. Therefore, EMU trains require efficient, fast, safe and highly automated door control systems, so the requirements for EMU door systems are much higher than those for traditional trains. EMU door opening and closing solenoid valves are widely used as key components for realizing automatic door control.

[0003] In the process of realizing the concept of the present disclosure, the inventors found that the fault diagnosis of the EMU door opening and closing solenoid valve in the related art was mainly based on the extraction of performance indicators that lacked reasonable physical explanations, resulting in low accuracy in the fault diagnosis of the EMU door opening and closing solenoid valve. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a method, device, equipment, medium and program product for detecting faults of a solenoid valve for opening and closing doors of an EMU.

[0005] According to the first aspect of the present disclosure, a method for detecting faults of electromagnetic valves for opening and closing doors of a train, comprising: in response to a detection request for the electromagnetic valves for opening and closing doors of the train, measuring a current signal of a coil in the electromagnetic valve that varies with time, wherein the magnitude of the current signal is related to the working state of a valve core in the electromagnetic valve; based on processing the current signal, dividing the working state of the valve core of the electromagnetic valve into N working states, wherein N is an integer greater than 1; based on N groups of target current signals under the N working states, calculating a magnetic resistance change rate index and an action performance index of the electromagnetic valve, wherein each of the working states corresponds to a group of the target current signals; and determining the fault information of the electromagnetic valve according to the magnetic resistance change rate index and the action performance index.

[0006] According to an embodiment of the present disclosure, the magnetic resistance change rate index and the action performance index of the solenoid valve are calculated based on the N groups of target current signals under the N working states, including: extracting the first group of target current signals and the Nth group of target current signals from the N groups of target current signals; calculating the magnetic resistance change rate index and the action performance index of the solenoid valve based on the first group of target current signals and the Nth group of target current signals.

[0007] According to an embodiment of the present disclosure, the magnetic resistance change rate index and the action performance index of the solenoid valve are calculated based on the first group of target current signals and the Nth group of target current signals, including: determining the magnetic resistance information and the current amplification information of the solenoid valve based on the first group of target current signals and the Nth group of target current signals; and calculating the magnetic resistance change rate index and the action performance index of the solenoid valve based on the magnetic resistance information, the current amplification information and the preset attribute information of the solenoid valve.

[0008] According to an embodiment of the present disclosure, the preset attribute information of the above-mentioned solenoid valve includes the number of turns of the coil, the resistance of the coil, the end cross-sectional area of ​​the iron core and the air magnetic permeability. The above-mentioned magnetic resistance change rate index and the above-mentioned action performance index of the above-mentioned solenoid valve are calculated based on the above-mentioned magnetic resistance information, the above-mentioned current amplification information and the preset attribute information of the above-mentioned solenoid valve, including: the magnetic resistance change rate index of the above-mentioned solenoid valve is calculated based on the above-mentioned magnetic resistance information, the number of turns of the above-mentioned coil and the resistance of the above-mentioned coil; the action performance index of the above-mentioned solenoid valve is calculated based on the above-mentioned magnetic resistance information, the above-mentioned current amplification information, the number of turns of the above-mentioned coil, the end cross-sectional area of ​​the iron core in the above-mentioned solenoid valve and the above-mentioned air magnetic permeability.

[0009] According to an embodiment of the present disclosure, the above-mentioned magnetic resistance information includes first magnetic resistance information and second magnetic resistance information. The above-mentioned magnetic resistance information and current amplitude information of the above-mentioned solenoid valve are determined based on the above-mentioned first group of target current signals and the above-mentioned Nth group of target current signals, including: determining the above-mentioned current amplitude information based on the initial current value of the above-mentioned first group of target current signals and the final current value of the above-mentioned first group of current signals; determining the above-mentioned first magnetic resistance information and the above-mentioned second magnetic resistance information based on the above-mentioned first group of target current signals and the above-mentioned Nth group of target current signals.

[0010] According to an embodiment of the present disclosure, based on the processing of the above-mentioned current signal, the working state of the valve core of the above-mentioned solenoid valve is divided into N working states, including: dividing the above-mentioned current signal according to N-1 preset thresholds to obtain the above-mentioned N groups of target current signals; dividing the working state of the valve core of the above-mentioned solenoid valve according to the above-mentioned N groups of target current signals to obtain the above-mentioned N working states.

[0011] According to an embodiment of the present disclosure, the above-mentioned solenoid valve includes multiple ones, and the above-mentioned EMU door opening and closing solenoid valve fault detection method also includes: generating a reluctance change rate index curve according to the full reluctance change rate index of each of the above-mentioned solenoid valves throughout the life cycle; generating an action performance index curve according to the full action performance index of each of the above-mentioned solenoid valves throughout the life cycle; constructing a curve library according to the multiple reluctance change rate index curves and the multiple action performance index curves corresponding to the multiple solenoid valves; determining the remaining life time of the above-mentioned solenoid valve according to the reference reluctance change rate index corresponding to any target action of the above-mentioned solenoid valve during the actual operation process, the reference action performance index corresponding to any target action of the above-mentioned solenoid valve during the actual operation process and the above-mentioned curve library.

[0012] According to an embodiment of the present disclosure, the remaining life time of the solenoid valve is determined based on a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during actual operation, a reference action performance index corresponding to any target action of the solenoid valve during actual operation, and the curve library, including: matching the reference magnetic resistance change rate index and the reference action performance index with the curve library to determine the target curve; determining the remaining life time of the solenoid valve based on the target curve and the action information of the target action.

[0013] A second aspect of the present disclosure provides a fault detection device for a solenoid valve of a switch door of an EMU, comprising: a measurement module, a division module, a calculation module and a first determination module.

[0014] The measuring module is used to respond to the electromagnetic valve detection request of the EMU door opening and closing, and measure the current signal of the coil in the electromagnetic valve that changes with time, wherein the magnitude of the current signal is related to the working state of the valve core in the electromagnetic valve.

[0015] The division module is used to divide the working state of the valve core of the solenoid valve into N working states based on the processing of the current signal, wherein N is an integer greater than 1.

[0016] The calculation module is used to calculate the magnetic resistance change rate index and the action performance index of the solenoid valve based on N groups of target current signals under N working states, wherein each working state corresponds to a group of target current signals.

[0017] The first determination module is used to determine the fault information of the solenoid valve according to the magnetic resistance change rate index and the action performance index.

[0018] A third aspect of the present disclosure provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0019] The fourth aspect of the present disclosure further provides a computer-readable storage medium having a computer program or instructions stored thereon, which implements the steps of the above method when the above computer program or instructions are executed by a processor.

[0020] The fifth aspect of the present disclosure further provides a computer program product, including a computer program or instructions, which implement the steps of the above method when the above computer program or instructions are executed by a processor.

[0021] According to the EMU door switch solenoid valve fault detection method, device and equipment provided by the present invention, by processing the measured current signal, the working state of the valve core can be divided to obtain N working states of the valve core, and then the target current signal under the N working states can be calculated to obtain the magnetic resistance change rate index and the action performance index of the solenoid valve. According to the magnetic resistance change rate index and the action performance index, the fault information of the solenoid valve can be determined. Since the magnetic resistance change rate index can characterize the degree of blockage of the valve core, and the action performance index can characterize the degree of sticking of the valve core, that is, the two indicators of the solenoid valve have reasonable physical explanations, thereby improving the diagnostic accuracy of the solenoid valve fault information. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above contents and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0023] Figure 1 The application scenario diagram of the EMU door opening and closing solenoid valve fault detection method according to the embodiment of the present disclosure is schematically shown;

[0024] Figure 2 The flowchart of the method for detecting faults of the electromagnetic valve of the door opening and closing of a motor vehicle unit according to an embodiment of the present disclosure is schematically shown;

[0025] Figure 3 A schematic diagram schematically shows the division of the working states of the solenoid valve according to an embodiment of the present disclosure;

[0026] Figure 4 A flowchart for determining a magnetic resistance change rate index and an action performance index according to an embodiment of the present disclosure is schematically shown;

[0027] Figure 5 A flowchart for predicting the life of a solenoid valve according to an embodiment of the present disclosure is schematically shown;

[0028] Figure 6 A schematic diagram schematically shows a comparison between actual operation data and curve library data according to an embodiment of the present disclosure;

[0029] Figure 7 The schematic diagram of the electromagnetic valve fault detection system for opening and closing doors of a motor vehicle unit according to an embodiment of the present disclosure is schematically shown;

[0030] Figure 8 A structural block diagram of a motor vehicle door opening and closing solenoid valve fault detection device according to an embodiment of the present disclosure is schematically shown; and

[0031] Fig. 9 A block diagram of an electronic device suitable for implementing a method for detecting faults of electromagnetic valves for opening and closing doors of a train unit according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0032] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0033] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0034] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0035] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0036] In the technical solution of the present disclosure, the user information (including but not limited to user personal information, user image information, user device information, such as location information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0037] In the process of implementing the present disclosure, it was found that in the related art, a large-scale equipment with complete functions can be used to perform multiple performance tests on the electromagnetic valves of the EMU, but its intelligence level is low. Large-scale equipment can complete basic performance testing and has powerful functions, but lacks intelligent analysis and prediction functions, and cannot perform performance prediction or fault prediction on the electromagnetic valves of the EMU switch doors. It is also possible to use relatively intelligent small-scale equipment for testing. The small-scale equipment can extract one or more performance indicators by performing data analysis on the curves of the detection signals (such as current, air pressure, etc.). However, this method has high data requirements, poor adaptability in different types of solenoid valve systems, and has limitations.

[0038] The performance indicators extracted from related technologies often lack reasonable physical explanations. Their indicators are mined and summarized based on a large amount of experimental data, which leads to low accuracy in fault diagnosis of EMU door solenoid valves and limits the scope of practical applications.

[0039] In view of this, an embodiment of the present disclosure provides a method for detecting faults of an EMU switch door solenoid valve, comprising: in response to a detection request for an EMU switch door solenoid valve, measuring a current signal of a coil in the solenoid valve that changes with time, wherein the magnitude of the current signal is related to the working state of a valve core in the solenoid valve; based on processing the current signal, dividing the working state of the valve core of the solenoid valve into N working states, wherein N is an integer greater than 1; based on N groups of target current signals under the N working states, calculating a magnetic resistance change rate index and an action performance index of the solenoid valve, wherein each working state corresponds to a group of target current signals; determining the fault information of the solenoid valve according to the magnetic resistance change rate index and the action performance index.

[0040] Figure 1 The application scenario diagram of the EMU door switch solenoid valve fault detection method according to the embodiment of the present disclosure is schematically shown.

[0041] like Figure 1As shown, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0042] The user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only for example).

[0043] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0044] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0045] It should be noted that the EMU switch door solenoid valve fault detection method provided in the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the EMU switch door solenoid valve fault detection device provided in the embodiment of the present disclosure can generally be set in the server 105. The EMU switch door solenoid valve fault detection method provided in the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Correspondingly, the EMU switch door solenoid valve fault detection device provided in the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0046] It should be understood that Figure 1The number of the first terminal device, the second terminal device, the third terminal device, the network and the server in the embodiment is only for illustration. According to the implementation requirements, there may be any number of the first terminal device, the second terminal device, the third terminal device, the network and the server.

[0047] The following will be based on Figure 1 The scene described by Figure 2~Figure 6 The method for detecting faults of the electromagnetic valves for opening and closing doors of a motor vehicle unit in the disclosed embodiment is described in detail.

[0048] Figure 2 The flowchart of the method for detecting faults of the electromagnetic valves of the EMU door opening and closing according to the embodiment of the present disclosure is schematically shown.

[0049] like Figure 2 As shown, the EMU door switch solenoid valve fault detection method 200 of this embodiment includes operations S210 to S240.

[0050] In operation S210, in response to a detection request of a solenoid valve for opening and closing a door of an EMU, a current signal of a coil in the solenoid valve that varies with time is measured.

[0051] In operation S220, based on the processing of the current signal, the working state of the valve core of the solenoid valve is divided into N working states.

[0052] In operation S230 , based on N groups of target current signals under N working states, a magnetic resistance change rate index and an action performance index of the solenoid valve are calculated.

[0053] In operation S240, fault information of the solenoid valve is determined according to the magnetic resistance change rate index and the action performance index.

[0054] According to the embodiments of the present disclosure, the EMU door opening and closing solenoid valve can represent a component used to control the opening and closing of the EMU door. The solenoid valve is mainly composed of a coil, an iron core, a valve core, a spring, a valve seat and other parts. The working principle of the solenoid valve is based on the electromagnetic effect. When the coil in the solenoid valve is energized, an electromagnetic force is generated. The electromagnetic force can overcome the resistance of the spring and lift the valve core in the solenoid valve to achieve the door opening action. When the coil in the solenoid valve is de-energized, the electromagnetic force disappears, and the valve core in the solenoid valve returns to the initial position under the action of the spring force, etc., completing the door closing action.

[0055] According to an embodiment of the present disclosure, the magnitude of the current signal is related to the working state of the valve core in the solenoid valve. The working state of the valve core may include multiple states, for example, a static state, an action state, and a holding state.

[0056] According to an embodiment of the present disclosure, the current signal of the coil changes with time. The current signal of the coil in the solenoid valve can be measured by a current measuring device. For example, the current measuring device can be a current sensor or a current transmitter.

[0057] According to an embodiment of the present disclosure, the current signal can be processed to divide the valve core working state of the solenoid valve into N working states, where N is an integer greater than 1. The processing of the current signal can include a derivation process. After the current signal is derivation-processed, the valve core working state of the solenoid valve can be divided into N working states by segmenting the processed current signal. For example, it can be divided into 3 working states. For example, the derivation process can be a primary derivation. For another example, the derivation process can also be a secondary derivation.

[0058] According to an embodiment of the present disclosure, the current signal may be obtained by filtering the initial current signal collected by the current measuring device. For example, the initial current signal collected by the current measuring device using a Savitzky-Golay (SG) filter may be filtered.

[0059] According to the embodiments of the present disclosure, in the actual operation of the solenoid valve, the current signal of the coil may be subject to various interferences, such as power supply interference, signal line interference, equipment vibration interference and other process noises. And due to accuracy and other issues, the current measurement device will generate measurement noise in the process of collecting data. These two types of noise will cause the collected initial current signal to become unstable. In this case, the collected initial current signal can be filtered using an SG filter to achieve the effects of smoothing and noise reduction of the initial current signal at the same time, thereby improving the smoothing effect of the initial current signal.

[0060] According to the embodiments of the present disclosure, each working state may correspond to a set of target current signals, that is, current signals for a period of time. For example, the current signal in the period of 20ms to 25ms, the current value at the 20ms moment is the initial current value of the working state, and the current value at the 25ms moment is the final current value of the working state.

[0061] According to the embodiments of the present disclosure, the reluctance change rate index can characterize the degree of change in the reluctance information of the magnetic circuit caused by the position change of the valve core in the solenoid valve. The reluctance change rate index can be used as a reference for evaluating the valve core blockage problem in the solenoid valve. A smaller reluctance change rate can characterize the existence of the valve seat blockage problem, and can also characterize the flowability of the working air gap of the solenoid valve.

[0062] According to an embodiment of the present disclosure, an action performance index can characterize the degree of change of valve core sticking. The action performance index can be used as a reference for evaluating the valve core sticking problem in a solenoid valve, and a larger action performance index can characterize the existence of the valve core sticking problem. The action performance index refers to the ratio of the electromagnetic force required to push the valve core in a used solenoid valve to the electromagnetic force required to push the valve core in a newly manufactured solenoid valve, wherein a newly manufactured solenoid valve can characterize a newly manufactured, unused solenoid valve, and a used solenoid valve can characterize a non-newly manufactured solenoid valve.

[0063] According to an embodiment of the present disclosure, based on N groups of target current signals under N working states, the coefficients of the current model and the current gain information can be obtained by calculating the target current signals. According to the coefficients of the current model and the current gain information, the magnetic resistance change rate index and the action performance index of the solenoid valve can be calculated.

[0064] According to an embodiment of the present disclosure, the fault information of the solenoid valve may be valve core blockage or valve core stagnation. The valve core blockage condition may be determined based on the magnetic resistance change rate index, and the valve core stagnation condition may be determined based on the action performance index. Therefore, the fault information of the solenoid valve may be determined based on the magnetic resistance change rate index and the action performance index.

[0065] According to the embodiments of the present disclosure, by processing the measured current signal, the working state of the valve core can be divided to obtain N working states of the valve core, and then the target current signal under the N working states can be calculated to obtain the magnetic resistance change rate index and the action performance index of the solenoid valve. According to the magnetic resistance change rate index and the action performance index, the fault information of the solenoid valve can be determined. Since the magnetic resistance change rate index can characterize the degree of blockage of the valve core, and the action performance index can characterize the degree of sticking of the valve core, that is, both indicators of the solenoid valve have reasonable physical explanations, thereby improving the diagnostic accuracy of the solenoid valve fault information.

[0066] According to an embodiment of the present disclosure, based on N groups of target current signals under N working states, the magnetic resistance change rate index and the action performance index of the solenoid valve are calculated, including: extracting the first group of target current signals and the Nth group of target current signals from the N groups of target current signals; according to the first group of target current signals and the Nth group of target current signals, calculating the magnetic resistance change rate index and the action performance index of the solenoid valve.

[0067] According to an embodiment of the present disclosure, a first group of target current signals and an Nth group of target current signals can be extracted from N groups of target current signals. The first group of target current signals corresponds to the first working state, and the Nth target current signal corresponds to the Nth working state. For example, in the case where the target current signal includes 3 groups, a first group of target current signals corresponding to the first working state and a third group of target current signals corresponding to the third working state can be obtained.

[0068] According to an embodiment of the present disclosure, the entire working state of the valve core may include a potential energy accumulation stage, a valve core movement stage, and a power-on holding stage. The N working states of the valve core may include a state corresponding to the potential energy accumulation stage, a state corresponding to the valve core movement stage, and a state corresponding to the power-on holding stage. Therefore, the first working state may be a working state corresponding to the potential energy accumulation stage, in which the valve core has not started to move, that is, a static state, and the first group of target current signals are current signals corresponding to the potential energy accumulation stage. The second working state may be a working state corresponding to the valve core movement stage, in which the valve core starts to move, that is, an action state, and the second group of target current signals are current signals corresponding to the valve core movement stage. The third working state may be a working state corresponding to the power-on holding stage, in which the valve core stops moving, that is, a saturated static state, and the third group of target current signals are current signals corresponding to the power-on holding stage.

[0069] According to the embodiments of the present disclosure, the coefficients of the current model and the current amplification information can be calculated based on the first group of target current models and the Nth group of target current signals, and then the magnetic resistance change rate index and the action performance index of the solenoid valve can be calculated based on the coefficients of the current model and the current amplification information.

[0070] According to the embodiments of the present disclosure, the first group of target current signals and the Nth group of target current signals can be extracted from N groups of target current signals to calculate the magnetic resistance change rate index and the action performance index of the solenoid valve. Both of these two indexes of the solenoid valve have clear physical meanings, which improves the accuracy of the magnetic resistance change rate index and the action performance index, thereby improving the diagnostic accuracy of the solenoid valve fault information, and can also perform non-invasive current diagnosis when the solenoid valve is in a complete state, thereby reducing the diagnostic difficulty and improving the diagnostic efficiency.

[0071] According to an embodiment of the present disclosure, the magnetic resistance change rate index and the action performance index of the solenoid valve are calculated based on the first group of target current signals and the Nth group of target current signals, including: determining the magnetic resistance information and current amplification information of the solenoid valve based on the first group of target current signals and the Nth group of target current signals; and calculating the magnetic resistance change rate index and the action performance index of the solenoid valve based on the magnetic resistance information, the current amplification information and the preset attribute information of the solenoid valve.

[0072] According to an embodiment of the present disclosure, the magnetic resistance information and current amplification information of the solenoid valve are determined based on the first group of target current signals and the Nth group of target current signals, including: determining the current amplification information based on the initial current value of the first group of target current signals and the final current value of the first group of current signals; determining the first magnetic resistance information and the second magnetic resistance information based on the first group of target current signals and the Nth group of target current signals.

[0073] According to an embodiment of the present disclosure, the current gain information can characterize the magnitude of the change in the current value. The initial current value of the first group of target current signals and the final current value of the first group of current signals as well as the initial current value of the Nth group of target current signals and the final current value of the Nth group of current signals can be determined based on the first group of target current signals and the Nth group of target current signals. The magnitude of the change in the current can be determined by subtracting the initial current value of the first group of target current signals from the final current value of the first group of current signals. Since the first group of target current values ​​has an increasing trend from the initial current value to the final current value, the current gain information can be determined.

[0074] According to an embodiment of the present disclosure, the magnetic resistance information includes first magnetic resistance information and second magnetic resistance information. The first magnetic resistance information can represent the magnetic resistance information of the magnetic circuit when the valve core in the solenoid valve is in the initial position, that is, the position where the valve core has not started to move. The second magnetic resistance information can represent the magnetic resistance information of the magnetic circuit when the valve core in the solenoid valve is in the target position. For a newly manufactured solenoid valve, the target position of the valve core is the bottom of the valve seat. For a used solenoid valve, due to the blockage of the valve core, the valve core may not move to the bottom of the valve seat, and the target position can be any position from the initial position to the bottom of the valve seat.

[0075] According to an embodiment of the present disclosure, coefficients of a current model may be obtained according to the first group of target current signals and the Nth group of target current signals.

[0076] According to an embodiment of the present disclosure, the current model is as follows: Formula (1).

[0077] (1)

[0078] Wherein, i(t) represents the current value at time t, a represents the first coefficient of the current model, b represents the second coefficient of the current model, and c represents the third coefficient of the current model.

[0079] According to an embodiment of the present disclosure, the second coefficient is related to the valve core in the solenoid valve in different working states.

[0080] According to an embodiment of the present disclosure, the first group of target current signals may include the current value of the current rising from the initial stage to the valve core movement stage, and the Nth group of target current signals may include the current value of the current rising from the current value at the end point of the valve core movement stage to the stable value.

[0081] According to an embodiment of the present disclosure, the coefficients of the current model can be obtained by fitting the current of the first group of target current signals and the current of the Nth group of target current signals using the least square method. The coefficients of the current model can include the first coefficient, the second coefficient, and the third coefficient. The first magnetic resistance information and the second magnetic resistance information can then be determined based on the coefficients of the current model.

[0082] According to an embodiment of the present disclosure, the preset attribute information of the solenoid valve can characterize the attribute of the solenoid valve itself, for example, the resistance of the coil in the solenoid valve. The reluctance change rate index and the action performance index of the solenoid valve can be calculated based on the reluctance information, the current gain information and the preset attribute information of the solenoid valve.

[0083] According to the embodiments of the present disclosure, the current gain information can be determined based on the initial current value and the final current value of the first group of target current values, and the magnetic resistance information can be determined based on the first group of target current signals and the Nth group of target current signals. Furthermore, the magnetic resistance change rate index and the action performance index can be determined based on the magnetic resistance information, the current gain information and the preset property information of the solenoid valve, thereby improving the efficiency and accuracy of the obtained magnetic resistance change rate index and the action performance index.

[0084] According to an embodiment of the present disclosure, the magnetic resistance change rate index and the action performance index of the solenoid valve are calculated based on the magnetic resistance information, the current amplification information and the preset property information of the solenoid valve, including: calculating the magnetic resistance change rate index of the solenoid valve based on the magnetic resistance information, the number of turns of the coil and the resistance of the coil; calculating the action performance index of the solenoid valve based on the magnetic resistance information, the current amplification information, the number of turns of the coil, the end cross-sectional area of ​​the iron core in the solenoid valve and the air magnetic permeability.

[0085] According to an embodiment of the present disclosure, the preset property information of the solenoid valve may include the number of turns of the coil, the resistance of the coil, the end cross-sectional area of ​​the core, and the air magnetic permeability.

[0086] According to an embodiment of the present disclosure, the reluctance change rate index of the solenoid valve can be calculated based on the reluctance information, the number of turns of the coil and the resistance of the coil, as shown in the following formula (2).

[0087] (2)

[0088] in, Represents the reluctance change rate index, represents the resistance of the coil, Indicates the number of turns of the coil, It indicates the difference in magnetic resistance of the magnetic circuit when the valve core is in the initial position and the target position. Indicates the magnetic resistance information of the magnetic circuit when the valve core is in the initial position. Indicates the magnetic resistance information of the magnetic circuit when the valve core is at the target position. Indicates the second coefficient of the current model when the valve core is at the bottom of the valve seat. Represents the second coefficient of the current model when the valve core is in the initial position.

[0089] According to the embodiment of the present disclosure, it can be known from the following formula (3) that as the valve core moves from the initial position to the target position, the magnetic resistance will gradually decrease. If the valve core is blocked, the maximum displacement of the valve core will decrease, resulting in a smaller degree of change in the magnetic resistance during the movement of the valve core.

[0090] (3)

[0091] Among them, x represents the current position of the valve core, It represents the magnetic resistance of the magnetic circuit when the valve core is in position x, represents the magnetic permeability of air, Indicates the cross-sectional area of ​​the magnetic circuit.

[0092] According to the embodiments of the present disclosure, the action performance index of the solenoid valve can be calculated based on the magnetic resistance information, the current amplification information, the number of turns of the coil, the end cross-sectional area of ​​the iron core in the solenoid valve and the air magnetic permeability, as shown in the following formula (4).

[0093] (4)

[0094] in, Indicates the performance index of the action. Indicates the electromagnetic force required for a new solenoid valve to push the valve core. represents the electromagnetic force required for the solenoid valve to act for the i-th time, Indicates the final current value of the first set of target current signals in the i-th action.

[0095] According to an embodiment of the present disclosure, one action of the solenoid valve may represent the entire process of the solenoid valve from the potential energy accumulation stage to the power-on holding stage.

[0096] According to the embodiments of the present disclosure, at the initial stage of the solenoid valve being energized, the valve core is in a stationary state because the electromagnetic force cannot overcome the resistance such as the preload force and friction force of the spring, and the current at this time will continue to increase. When the current continues to increase and reaches a critical value, the electromagnetic force of the coil in the solenoid valve increases and exceeds the resistance such as the preload force and friction force of the spring, causing the valve core to start moving. In the case of the valve core gradually becoming stuck, the electromagnetic force required to push the valve core will increase, and the action performance index will also change.

[0097] According to the embodiments of the present disclosure, the magnetic resistance change rate index and the action performance index of the solenoid valve can be calculated based on the magnetic resistance information, the current gain information and the preset attribute information of the solenoid valve, thereby improving the accuracy of obtaining the magnetic resistance change rate index and the action performance index of the solenoid valve. Since the magnetic resistance change rate index and the action performance index respectively characterize valve core blockage and valve core sticking, these two indicators can be used to characterize the state of the solenoid valve, thereby simplifying the process of solenoid valve fault diagnosis and improving the efficiency of solenoid valve fault diagnosis.

[0098] According to an embodiment of the present disclosure, based on the processing of the current signal, the working state of the valve core of the solenoid valve is divided into N working states, including: dividing the current signal according to N-1 preset thresholds to obtain N groups of target current signals; dividing the working state of the valve core of the solenoid valve according to the N groups of target current signals to obtain N working states.

[0099] According to the embodiment of the present disclosure, the current signal can be divided according to N-1 preset thresholds to obtain N groups of target current signals. Furthermore, the valve core working states of the solenoid valve are divided according to the N groups of target current signals to obtain N working states.

[0100] According to the embodiments of the present disclosure, during the solenoid valve power-on process, the working state of the solenoid valve may include three stages, namely, the potential energy accumulation stage, the valve core movement stage, and the power-on holding stage. Then, two preset thresholds may be set, and the current signal may be divided using the threshold method to obtain three groups of target current signals. The valve core working state of the solenoid valve may be divided according to the three groups of target current signals to obtain three working states.

[0101] According to the embodiments of the present disclosure, by dividing the current signal, N groups of target current signals can be obtained, and the N groups of target current signals are divided into N working states, thereby improving the accuracy of the working states.

[0102] Figure 3 A schematic diagram schematically shows the division of the working states of the solenoid valve according to an embodiment of the present disclosure.

[0103] like Figure 3 As shown, it can include a potential energy accumulation stage, a valve core movement stage and an energization holding stage.

[0104] According to an embodiment of the present disclosure, in the potential energy accumulation stage, when the solenoid valve is not powered on, the valve core is in a closed state, and the valve core is in an initial position. At the moment of power-on, due to the self-inductance in the coil, the current in the coil will not change suddenly, but will rise at a larger slope. In the initial stage of power-on, due to the small current, the electromagnetic force cannot overcome resistances such as the preload of the spring and the static friction of the valve core, and the valve core is in a stationary state at this stage. The continuous increase in current causes the magnetic field around the coil to increase, and the accumulated magnetic field energy represents the increasing electric potential energy, until the electromagnetic force overcomes resistances such as the preload of the spring and the static friction of the valve core, the valve core begins to move, and enters the valve core movement stage.

[0105] According to the embodiments of the present disclosure, during the valve core movement stage, as the current continues to increase and reaches a critical value, the electromagnetic force exerted on the valve core in the solenoid valve exceeds the resistance such as the preload force of the spring and the static friction force of the valve core, and the magnetic field energy of the solenoid valve is converted into mechanical energy, driving the valve core to move. The valve core gradually moves from the initial position to the bottom of the valve seat. During this process, the working air gap decreases and the valve port gradually opens completely.

[0106] According to an embodiment of the present disclosure, in the power-on holding stage, after the valve core moves to the bottom end of the valve seat and is completely attracted, the working air gap will no longer change, and the current will gradually increase to a maximum value, at which time the current reaches a balanced and stable state.

[0107] Figure 4 A flow chart for determining a magnetic resistance change rate index and an action performance index according to an embodiment of the present disclosure is schematically shown.

[0108] like Figure 4 As shown, the EMU door switch solenoid valve fault detection method 400 of this embodiment includes operations S410 to S490.

[0109] In operation S410 , an initial current signal of the coil is collected.

[0110] In operation S420, the initial current signal is filtered using an SG filter to obtain a current signal that varies with time.

[0111] In operation S430 , a derivative process is performed on the current signal to obtain a current derivative curve.

[0112] In operation S440 , the current derivative curve is divided using a threshold method.

[0113] In operation S450 , a first stage curve, a second stage curve, and a third stage curve may be obtained by dividing the current derivative curve.

[0114] In operation S460 , coefficients of a current model are determined using a least square method according to the first stage curve and the third stage curve.

[0115] In operation S470, a magnetic resistance change rate index of the solenoid valve is determined according to the coefficient of the current model and preset property information.

[0116] In operation S480 , current increase information is determined according to the first stage curve.

[0117] In operation S490, an action performance index is determined according to the current increase and the preset attribute information.

[0118] According to an embodiment of the present disclosure, the first stage curve, the second stage curve, and the third stage curve correspond to the potential energy accumulation stage, the valve core movement stage, and the power-on holding stage, respectively.

[0119] According to an embodiment of the present disclosure, the above-mentioned EMU door opening and closing solenoid valve fault detection method also includes: generating a reluctance change rate index curve based on the full reluctance change rate index of each solenoid valve over its entire life cycle; generating an action performance index curve based on the full action performance index of each solenoid valve over its entire life cycle; constructing a curve library based on multiple reluctance change rate index curves and multiple action performance index curves corresponding to multiple solenoid valves; determining the remaining life time of the solenoid valve based on a reference reluctance change rate index corresponding to any target action of the solenoid valve during actual operation, a reference action performance index corresponding to any target action of the solenoid valve during actual operation, and the curve library.

[0120] According to an embodiment of the present disclosure, the full life cycle of the solenoid valve can represent the entire cycle of the solenoid valve from when it is new to when it is used up. The full magnetic resistance change rate index can represent the set of magnetic resistance change rates over the full life cycle of the solenoid valve. Therefore, a magnetic resistance change rate index curve can be generated based on the full magnetic resistance change rate index over the full life cycle of each solenoid valve.

[0121] According to an embodiment of the present disclosure, the full action performance index can represent a set of action performance indexes of the full life cycle of the solenoid valve. Therefore, an action performance index curve can be generated according to the full action performance index of each solenoid valve in the full life cycle.

[0122] According to an embodiment of the present disclosure, a plurality of solenoid valves may be included on an EMU train, so that a curve library may be constructed according to a plurality of magnetic resistance change rate index curves and a plurality of action performance index curves corresponding to the plurality of solenoid valves.

[0123] According to an embodiment of the present disclosure, a reference magnetic resistance change rate index corresponding to any target action of a solenoid valve during actual operation can represent a magnetic resistance change rate index corresponding to any target action of one of the solenoid valves in the entire life cycle during actual operation on an EMU train. A reference action performance index corresponding to any target action of a solenoid valve during actual operation can represent an action performance index corresponding to any target action of one of the solenoid valves in the entire life cycle during actual operation on an EMU train.

[0124] According to an embodiment of the present disclosure, the remaining life time of the solenoid valve is determined based on a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during actual operation, a reference action performance index corresponding to any target action of the solenoid valve during actual operation, and a curve library, including: matching the reference magnetic resistance change rate index and the reference action performance index with the curve library to determine the target curve; determining the remaining life time of the solenoid valve based on the target curve and the action information of the target action.

[0125] According to the embodiments of the present disclosure, the reference reluctance change rate index and the reference action performance index can be matched with the curve library, and a curve closest to the reference reluctance change rate index and the reference action performance index can be determined from the curve library as the target curve, and then the action information corresponding to the target curve is compared with the action information of the target action to determine the remaining life of the solenoid valve. For example, if the action information of the target action indicates that the solenoid valve currently acts 60,000 times, and the action information of the target curve indicates that the solenoid valve acts 80,000 times during its entire life cycle, then the remaining life of the solenoid valve can be determined to be the time corresponding to 20,000 actions.

[0126] According to an embodiment of the present disclosure, by comparing a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during the actual operation and a reference action performance index corresponding to any target action of the solenoid valve during the actual operation with multiple curves in a curve library, the remaining life time of the solenoid valve can be determined, thereby realizing the prediction of the life of the solenoid valve.

[0127] Figure 5 The flowchart for predicting the life of a solenoid valve according to an embodiment of the present disclosure is schematically shown.

[0128] like Figure 5 As shown, this embodiment includes operations S510 to S540.

[0129] In operation S510, a full magnetic resistance change rate index and a full action performance index are extracted from the full life cycle data of the solenoid valve.

[0130] In operation S520, a curve library is constructed of the full magnetic resistance change rate index and the full action performance index.

[0131] In operation S530, a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during actual operation and a reference action performance index corresponding to any target action of the solenoid valve during actual operation are extracted from the detection data.

[0132] In operation S540, a reference magnetic resistance change rate index corresponding to any target action during the actual operation of the solenoid valve and a reference action performance index corresponding to any target action during the actual operation of the solenoid valve are compared with a curve library to determine a target curve, thereby determining the remaining life span of the solenoid valve.

[0133] Figure 6 The figure schematically shows a comparison diagram of actual operation data and curve library data according to an embodiment of the present disclosure.

[0134] like Figure 6As shown, the actual operation data may be a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during the actual operation process or a reference action performance index corresponding to any target action of the solenoid valve during the actual operation process. When the zone line library may include the first curve 1, the second curve 2, the third curve 3, the fourth curve 4, the fifth curve 5 and the sixth curve 6, the actual operation data may be compared with the curve library using a distance measurement method, so that the fourth curve 4 with the smallest distance may be determined as the target curve, and the remaining life of the solenoid valve may be determined based on the action information of the target curve and the action information of the target action.

[0135] According to the embodiment of the present disclosure, a threshold value can also be set based on experience, and when the target curve drops to the threshold value, it can be considered that the solenoid valve has reached the end of its life. Figure 6 As shown, when the threshold is set to 0.8, when the target curve is reduced to 0.8, that is, the solenoid valve will reach the end of its life when it operates 70,000 times.

[0136] According to an embodiment of the present disclosure, the full life cycle data of the solenoid valve may include a full magnetic resistance change rate index and a full action performance index data, and may also include other data. The detection data may include a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during actual operation and a reference action performance index corresponding to any target action of the solenoid valve during actual operation, and may also include other data.

[0137] Figure 7 A schematic diagram of a fault detection system for a solenoid valve of a motor vehicle door opening and closing according to an embodiment of the present disclosure is schematically shown.

[0138] like Figure 7 As shown, the EMU door switch solenoid valve fault detection system includes a current sensor 710, a relay 720, a logic development board 730, a first power supply 740, a second power supply 750, a solenoid valve 760, a data acquisition card 770 and a host computer 780.

[0139] According to an embodiment of the present disclosure, the current sensor 710 can convert the current signal of the coil in the solenoid valve 760 into a voltage signal, and output the voltage signal as an analog quantity to the data acquisition card 770, wherein the current signal represents the current signal of the coil in the solenoid valve measured in the above operation S210 that varies with time. The acquisition rate of the data acquisition card 770 is 10k / s.

[0140] According to an embodiment of the present disclosure, the logic control development board 730 may be an algorithm written in a programming language to execute corresponding logic control to generate a control signal, and output the control signal to the relay 720 , thereby controlling the power-on time and operating frequency of the solenoid valve 760 .

[0141] According to an embodiment of the present disclosure, the control signal output by the logic control development board 730 can be used to control the relay, convert the low-power signal into a high-power signal, and then control the opening and closing of the loop composed of the solenoid valve 760, the relay 720 and the current sensor 710.

[0142] According to an embodiment of the present disclosure, the first power supply 740 can convert a 110V DC voltage into a 7V DC voltage for powering the logic control development board 730. The second power supply 750 can convert a 220V AC voltage into a 110V DC voltage, thereby powering the circuit formed by the solenoid valve 760, the current sensor 710 and the relay 720.

[0143] According to the embodiments of the present disclosure, the EMU door switch solenoid valve fault detection system is small in size, easy to carry, and has a high degree of intelligence. It can not only be used independently, but also be integrated into the existing large-scale solenoid valve comprehensive performance testing equipment to further improve its functions.

[0144] Based on the above-mentioned EMU door opening and closing solenoid valve fault detection method, the present disclosure also provides an EMU door opening and closing solenoid valve fault detection device. Figure 8 The device is described in detail.

[0145] Figure 8 The structural block diagram of the electromagnetic valve fault detection device for the switch door of an EMU according to an embodiment of the present disclosure is schematically shown.

[0146] like Figure 8 As shown, the EMU door switch solenoid valve fault detection device 800 of this embodiment includes a measurement module 810, a division module 820, a calculation module 830 and a first determination module 840.

[0147] The measuring module 810 is used to measure the current signal of the coil in the solenoid valve that changes with time in response to the EMU door opening and closing solenoid valve detection request, wherein the magnitude of the current signal is related to the working state of the valve core in the solenoid valve. In one embodiment, the measuring module 810 can be used to perform the operation S210 described above, which will not be repeated here.

[0148] The division module 820 is used to divide the working state of the valve core of the solenoid valve into N working states based on the processing of the current signal, where N is an integer greater than 1. In one embodiment, the division module 820 can be used to perform the operation S220 described above, which will not be repeated here.

[0149] The calculation module 830 is used to calculate the magnetic resistance change rate index and the action performance index of the solenoid valve based on N groups of target current signals under N working states, wherein each working state corresponds to a group of target current signals. In one embodiment, the calculation module 830 can be used to perform the operation S230 described above, which will not be repeated here.

[0150] The first determination module 840 is used to determine the fault information of the solenoid valve according to the magnetic resistance change rate index and the action performance index. In one embodiment, the first determination module 840 can be used to perform the operation S240 described above, which will not be described in detail here.

[0151] According to an embodiment of the present disclosure, the computing module 830 includes: a first computing submodule and a second computing submodule.

[0152] The first calculation submodule is used to extract a first group of target current signals and an Nth group of target current signals from the N groups of target current signals.

[0153] The second calculation submodule is used to calculate the magnetic resistance change rate index and the action performance index of the solenoid valve according to the first group of target current signals and the Nth group of target current signals.

[0154] According to an embodiment of the present disclosure, the second computing submodule includes: a first computing unit and a second computing unit.

[0155] The first calculation unit is used to determine the magnetic resistance information and the current gain information of the solenoid valve according to the first group of target current signals and the Nth group of target current signals.

[0156] The second calculation unit is used to calculate the magnetic resistance change rate index and the action performance index of the electromagnetic valve according to the magnetic resistance information, the current gain information and the preset attribute information of the electromagnetic valve.

[0157] According to an embodiment of the present disclosure, the preset attribute information of the solenoid valve includes the number of turns of the coil, the resistance of the coil, the end cross-sectional area of ​​the core and the air magnetic permeability. The second calculation unit includes: a first calculation subunit and a second calculation subunit.

[0158] The first calculation subunit is used to calculate the magnetic resistance change rate index of the electromagnetic valve according to the magnetic resistance information, the number of turns of the coil and the resistance of the coil.

[0159] The second calculation subunit is used to calculate the action performance index of the solenoid valve according to the magnetic resistance information, the current amplification information, the number of turns of the coil, the end cross-sectional area of ​​the iron core in the solenoid valve and the air magnetic permeability.

[0160] According to an embodiment of the present disclosure, the magnetoresistance information includes first magnetoresistance information and second magnetoresistance information, and the first calculation unit includes: a third calculation subunit and a fourth calculation subunit.

[0161] The third calculation subunit is used to determine the current increase information according to the initial current value of the first group of target current signals and the final current value of the first group of current signals.

[0162] The fourth calculation subunit is used to determine the first magnetic resistance information and the second magnetic resistance information according to the first group of target current signals and the Nth group of target current signals.

[0163] According to an embodiment of the present disclosure, the division module 820 includes: a first division submodule and a second division submodule.

[0164] The first division submodule is used to divide the current signal according to N-1 preset thresholds to obtain N groups of target current signals.

[0165] The second division submodule is used to divide the valve core working state of the solenoid valve according to the N groups of target current signals to obtain N working states.

[0166] According to an embodiment of the present disclosure, the solenoid valve includes a plurality of solenoid valves, and the above-mentioned EMU switch door solenoid valve fault detection device also includes: a first generation module, a second generation module, a construction module and a second determination module.

[0167] The first generating module is used to generate a reluctance change rate index curve according to the full reluctance change rate index of each solenoid valve during the whole life cycle.

[0168] The second generating module is used to generate an action performance index curve according to the full action performance index of each solenoid valve during its entire life cycle.

[0169] The building module is used to build a curve library according to a plurality of magnetic resistance change rate index curves and a plurality of action performance index curves corresponding to a plurality of solenoid valves.

[0170] The second determination module is used to determine the remaining life time of the solenoid valve based on a reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during actual operation, a reference action performance index corresponding to any target action of the solenoid valve during actual operation, and a curve library.

[0171] According to an embodiment of the present disclosure, the second determination module includes: a first determination submodule and a second determination submodule.

[0172] The first determination submodule is used to match the reference magnetic resistance change rate index and the reference action performance index with the curve library to determine the target curve.

[0173] The first determination submodule is used to determine the remaining life span of the solenoid valve according to the target curve and the action information of the target action.

[0174] According to an embodiment of the present disclosure, any multiple modules of the measurement module 810, the division module 820, the calculation module 830 and the first determination module 840 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the measurement module 810, the division module 820, the calculation module 830 and the first determination module 840 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of the measuring module 810 , the dividing module 820 , the calculating module 830 , and the first determining module 840 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be performed.

[0175] Fig. 9 A block diagram of an electronic device suitable for implementing a method for detecting faults of electromagnetic valves for opening and closing doors of a train unit according to an embodiment of the present disclosure is schematically shown.

[0176] like Fig. 9 As shown, the electronic device 900 according to an embodiment of the present disclosure includes a processor 901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage part 908 to a random access memory (RAM) 903. The processor 901 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a dedicated microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 901 may also include an onboard memory for caching purposes. The processor 901 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0177] In RAM 903, various programs and data required for the operation of electronic device 900 are stored. Processor 901, ROM 902 and RAM 903 are connected to each other via bus 904. Processor 901 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 902 and / or RAM 903. It should be noted that the program can also be stored in one or more memories other than ROM 902 and RAM 903. Processor 901 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0178] According to an embodiment of the present disclosure, the electronic device 900 may further include an input / output (I / O) interface 905, which is also connected to the bus 904. The electronic device 900 may further include one or more of the following components connected to the input / output (I / O) interface 905: an input portion 906 including a keyboard, a mouse, etc.; an output portion 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 908 including a hard disk, etc.; and a communication portion 909 including a network interface card such as a LAN card, a modem, etc. The communication portion 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the input / output (I / O) interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed, so that a computer program read therefrom is installed into the storage portion 908 as needed.

[0179] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0180] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present disclosure, a computer-readable storage medium may include the ROM 902 and / or RAM 903 described above and / or one or more memories other than ROM 902 and RAM 903.

[0181] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the EMU switch door solenoid valve fault detection method provided by the embodiment of the present disclosure.

[0182] The above functions defined in the system / device of the embodiment of the present disclosure are performed when the computer program is executed by the processor 901. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0183] In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of a signal on a network medium, and downloaded and installed through the communication part 909, and / or installed from a removable medium 911. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0184] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 909, and / or installed from the removable medium 911. When the computer program is executed by the processor 901, the above functions defined in the system of the embodiment of the present disclosure are performed. According to the embodiment of the present disclosure, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0185] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0186] The flow charts 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 disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a 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 flow chart, and the combination of the boxes in the block diagram or flow chart 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.

[0187] It will be appreciated by those skilled in the art that the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations or combinations are not explicitly described in the present disclosure. In particular, without departing from the spirit and teachings of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0188] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A method for detecting faults of electromagnetic valves for opening and closing doors of EMUs, characterized in that: The method comprises: In response to a detection request for the electromagnetic valve of the EMU door opening and closing, a current signal of the coil in the electromagnetic valve that changes with time is measured, wherein the magnitude of the current signal is related to the working state of the valve core in the electromagnetic valve; Based on the processing of the current signal, the working state of the valve core of the solenoid valve is divided into N working states, where N is an integer greater than 1; Based on the N groups of target current signals under the N working states, a magnetic resistance change rate index and an action performance index of the solenoid valve are calculated, wherein each working state corresponds to a group of the target current signals; Fault information of the solenoid valve is determined according to the magnetic resistance change rate index and the action performance index.

2. The method according to claim 1, characterized in that The calculation of the magnetic resistance change rate index and the action performance index of the solenoid valve based on the N groups of target current signals under the N working states includes: Extracting a first group of target current signals and an Nth group of target current signals from the N groups of target current signals; According to the first group of target current signals and the Nth group of target current signals, a magnetic resistance change rate index and an action performance index of the solenoid valve are calculated.

3. The method according to claim 2, characterized in that The step of calculating the magnetic resistance change rate index and the action performance index of the solenoid valve according to the first group of target current signals and the Nth group of target current signals includes: Determining magnetic resistance information and current gain information of the solenoid valve according to the first group of target current signals and the Nth group of target current signals; According to the magnetic resistance information, the current gain information and the preset property information of the electromagnetic valve, a magnetic resistance change rate index and an action performance index of the electromagnetic valve are calculated.

4. The method according to claim 3, characterized in that The preset attribute information of the solenoid valve includes the number of turns of the coil, the resistance of the coil, the end cross-sectional area of ​​the core and the air magnetic permeability. The magnetic resistance change rate index and the action performance index of the solenoid valve are calculated based on the magnetic resistance information, the current gain information and the preset attribute information of the solenoid valve, including: Calculating a magnetic resistance change rate index of the solenoid valve according to the magnetic resistance information, the number of turns of the coil and the resistance of the coil; The action performance index of the solenoid valve is calculated based on the magnetic resistance information, the current amplification information, the number of turns of the coil, the end cross-sectional area of ​​the iron core in the solenoid valve and the air magnetic permeability.

5. The method according to claim 3, characterized in that: The magnetic resistance information includes first magnetic resistance information and second magnetic resistance information, and determining the magnetic resistance information and current gain information of the solenoid valve according to the first group of target current signals and the Nth group of target current signals includes: Determining the current increase information according to the initial current value of the first group of target current signals and the final current value of the first group of current signals; The first magnetic resistance information and the second magnetic resistance information are determined according to the first group of target current signals and the Nth group of target current signals.

6. The method according to claim 1, characterized in that Based on the processing of the current signal, the working state of the valve core of the solenoid valve is divided into N working states, including: Dividing the current signal according to N-1 preset thresholds to obtain the N groups of target current signals; According to the N groups of target current signals, the working states of the valve core of the solenoid valve are divided to obtain the N working states.

7. The method according to claim 1, characterized in that The solenoid valve comprises a plurality of solenoid valves, and the method further comprises: Generating a reluctance change rate index curve according to the full reluctance change rate index of each solenoid valve during the full life cycle; Generating an action performance index curve according to the full action performance index of each solenoid valve during its entire life cycle; Constructing a curve library according to the plurality of magnetic resistance change rate index curves and the plurality of action performance index curves corresponding to the plurality of solenoid valves; The remaining life time of the solenoid valve is determined based on a reference magnetic resistance change rate index corresponding to any target action during the actual operation of the solenoid valve, a reference action performance index corresponding to any target action during the actual operation of the solenoid valve, and the curve library.

8. The method according to claim 7, characterized in that The determining the remaining life span of the solenoid valve according to the reference magnetic resistance change rate index corresponding to any target action of the solenoid valve during the actual operation, the reference action performance index corresponding to any target action of the solenoid valve during the actual operation, and the curve library includes: Matching the reference magnetic resistance change rate index and the reference action performance index with the curve library to determine a target curve; The remaining life span of the solenoid valve is determined according to the target curve and the action information of the target action.

9. A fault detection device for electromagnetic valve of EMU door opening and closing, characterized in that: The device comprises: A measuring module, for responding to a detection request of the electromagnetic valve for opening and closing doors of a train unit, and measuring a current signal of a coil in the electromagnetic valve that varies with time, wherein the magnitude of the current signal is related to the working state of the valve core in the electromagnetic valve; A division module, used for dividing the working state of the valve core of the solenoid valve into N working states based on processing of the current signal, wherein N is an integer greater than 1; A calculation module, configured to calculate a magnetic resistance change rate index and an action performance index of the solenoid valve based on N groups of target current signals under the N working states, wherein each working state corresponds to a group of target current signals; The first determination module is used to determine the fault information of the solenoid valve according to the magnetic resistance change rate index and the action performance index.

10. An electronic device, comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 8.

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