Detection Method, Device, Equipment and Storage Medium for Suspension Sensor Gap Fault

Abstract

The present application relates to the technical field of maglev train monitoring, and discloses a detection method, device, equipment and storage medium for the gap fault of a suspension sensor. By combining the operating state of the maglev train to determine the measurement range of the gap value, it is possible to monitor the fault of the suspension sensor itself without considering the design principle of the suspension sensor, and directly judge whether the gap signal output by the suspension sensor is normal. Compared with the method of detecting the gap fault of the suspension sensor by monitoring the working state of the suspension sensor from the design principle of the suspension sensor, it can determine more quickly whether the gap signal of the suspension sensor can be used, and determine whether there is a fault in the suspension sensor for timely replacement, thereby ensuring the reliability of the gap signal in the maglev train suspension control and ensuring the smooth operation of the maglev train.

Description

Technical Field

[0001] The present application relates to the technical field of maglev train monitoring, and particularly to a method, device, equipment and storage medium for detecting the gap fault of a suspension sensor. Background Art

[0002] The maglev train is a new type of rail transit vehicle. The suspension system of the maglev train mainly consists of three major components: a suspension controller, a suspension sensor, and a suspension electromagnet. Among them, the gap signal of the suspension sensor is crucial for suspension control. By determining the gap between the maglev train and the track according to the gap signal output by the suspension sensor, the current of the suspension electromagnet is adjusted to ensure the smooth operation of the train.

[0003] It can be seen that ensuring the reliability of the gap signal of the suspension sensor is one of the important conditions for ensuring the smooth operation of the maglev train. Therefore, it is particularly important to diagnose the fault of the gap signal measured by the suspension sensor. At present, for the fault diagnosis of the gap signal measured by the suspension sensor, most are to monitor the operating state of the suspension sensor by using a diagnostic device. The diagnostic principle mostly starts from the design principle of the suspension sensor and considers factors such as temperature drift for fault judgment. However, the fault judgment criteria are not unified and the theory is complex, resulting in poor usability of the fault diagnosis.

[0004] Providing a fault diagnosis scheme for the gap signal measured by the suspension sensor that is conducive to implementation and ensuring the reliability of the gap signal in the maglev train suspension control is a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of the present application is to provide a method, device, equipment and storage medium for detecting the gap fault of a suspension sensor. Compared with the method of monitoring the working state of the suspension sensor from the design principle of the suspension sensor to detect the gap fault of the suspension sensor, it is easier to implement and can more efficiently detect the gap fault of the suspension sensor, thereby ensuring the reliability of the gap signal in the maglev train suspension control and ensuring the smooth operation of the maglev train.

[0006] To solve the above technical problems, the present application provides a method for detecting the gap fault of a suspension sensor, including:

[0007] Collecting a plurality of gap signals for the target gap signal output channel of the target suspension sensor;

[0008] Determining the gap value measurement range between the maglev train and the train track according to the running state of the maglev train where it is located;

[0009] Analyzing and obtaining the fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range.

[0010] Optionally, determining the measurement range of the gap value between the maglev train and the train track according to the operating state of the maglev train specifically includes:

[0011] Determining the measurement range of the gap value according to the levitation current of the maglev train and the operating speed of the maglev train.

[0012] Optionally, collecting a plurality of gap signals from the target gap signal output channel of the target levitation sensor specifically includes:

[0013] Continuously collecting more than a preset number of the gap signals from the target gap signal output channel.

[0014] Optionally, analyzing the fault diagnosis result of the target gap signal output channel of the target levitation sensor according to the gap measurement value decoded from the gap signal and the measurement range of the gap value specifically includes:

[0015] Substituting the gap measurement value into each fault diagnosis module to respectively obtain multiple fault type detection results for the target gap signal output channel.

[0016] Optionally, the types of the fault diagnosis modules specifically include: no decoding output fault, output constant fault, bit error rate exceeding standard fault, gap not conforming to levitation logic fault, and gap not conforming to landing logic fault;

[0017] Among them, the no decoding output fault means that the continuous first preset number of the gap signals output by the target gap signal output channel all exceed the first range of the gap signal output value of the target levitation sensor;

[0018] The output constant fault means that the gap measurement values decoded from the continuous second preset number of the gap signals output by the target gap signal output channel are all equal;

[0019] The bit error rate exceeding standard fault means that the proportion of the number of the gap signals that cannot be decoded in the gap signals output by the target gap signal output channel within the first time period to the total amount of all the gap signals output within the first time period exceeds the bit error rate threshold;

[0020] The gap not conforming to levitation logic fault means that when the maglev train is in the levitation state, the mean value of the gap signals output by the target gap signal output channel within the second time period exceeds the second range corresponding to the levitation state of the maglev train;

[0021] The gap non-compliance landing logic fault means that when the maglev train is in the landing state, the average value of the gap signals output by the target gap signal output channel within the third time period exceeds the third range corresponding to the landing state of the maglev train.

[0022] Optionally, the levitation state of the maglev train specifically means that the levitation current of the maglev train is greater than the first current threshold and the running speed of the maglev train is greater than zero;

[0023] The landing state of the maglev train is that the levitation current of the maglev train is less than the second current threshold and the running speed of the maglev train is greater than zero.

[0024] Optionally, the target gap signal output channel is specifically all the gap signal output channels of the target levitation sensor, and the target levitation sensor is specifically the levitation sensor provided in each carriage of the maglev train;

[0025] The detection method further includes:

[0026] Output the fault diagnosis results corresponding to each target gap signal output channel of each target levitation sensor of the maglev train.

[0027] To solve the above technical problems, the present application also provides a detection device for levitation sensor gap faults, including:

[0028] An acquisition unit for acquiring a plurality of gap signals from the target gap signal output channel of the target levitation sensor;

[0029] A determination unit for determining the gap value measurement range between the maglev train and the train track according to the running state of the maglev train where it is located;

[0030] A detection unit for analyzing the fault diagnosis results of the target gap signal output channel of the target levitation sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range.

[0031] To solve the above technical problems, the present application also provides a detection device for levitation sensor gap faults, including:

[0032] A memory for storing computer programs;

[0033] A processor for executing the computer program, and when the computer program is executed by the processor, it implements the steps of the detection method for levitation sensor gap faults as described in any one of the above.

[0034] To solve the above technical problems, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the detection method for the suspension sensor gap fault described in any one of the above are implemented.

[0035] For the detection method of the suspension sensor gap fault provided by the present application, by collecting multiple gap signals from the target gap signal output channel of the target suspension sensor, and at the same time determining the gap value measurement range between the maglev train and the train track according to the running state of the maglev train where it is located. Then, based on the gap measurement value decoded from the gap signal and the gap value measurement range, the fault diagnosis result of the target gap signal output channel of the target suspension sensor is analyzed. By combining the running state of the maglev train to determine the gap value measurement range, it is not necessary to consider the design principle of the suspension sensor to monitor the fault of the suspension sensor itself, and it can directly judge whether the gap signal output by the suspension sensor is normal. Compared with the method of monitoring the working state of the suspension sensor from the design principle of the suspension sensor to detect the suspension sensor gap fault, it can more quickly determine whether the gap signal of the suspension sensor can be used, and determine whether the suspension sensor has a fault for timely replacement, thereby ensuring the reliability of the gap signal in the maglev train suspension control and ensuring the smooth operation of the maglev train.

[0036] The present application further provides a detection device, equipment and storage medium for the suspension sensor gap fault, which have the above beneficial effects and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0038] Figure 1 It is a flowchart of a detection method for a suspension sensor gap fault provided by an embodiment of the present application;

[0039] Figure 2 It is a schematic structural diagram of a detection device for a suspension sensor gap fault provided by an embodiment of the present application;

[0040] Figure 3 It is a schematic structural diagram of a detection device for a suspension sensor gap fault provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] The core of this application is to provide a detection method, device, equipment and storage medium for the gap fault of a suspension sensor. Compared with the method of monitoring the working state of the suspension sensor from the design principle of the suspension sensor to detect the gap fault of the suspension sensor, it is easier to implement and can more efficiently detect the gap fault of the suspension sensor, thereby ensuring the reliability of the gap signal in the maglev train suspension control and ensuring the stable operation of the maglev train.

[0042] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0043] Embodiment 1

[0044] Figure 1 It is a flowchart of a detection method for the gap fault of a suspension sensor provided in an embodiment of the present application.

[0045] As Figure 1 shown, the detection method for the gap fault of the suspension sensor provided in the embodiment of the present application includes:

[0046] S101: Collect a plurality of gap signals for the target gap signal output channel of the target suspension sensor.

[0047] S102: Determine the gap value measurement range between the maglev train and the train track according to the running state of the maglev train where it is located.

[0048] S103: Analyze the fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range.

[0049] In specific implementation, for S101, a plurality of gap signals above a preset number can be continuously collected for the target gap signal output channel of the target suspension sensor.

[0050] Currently, the suspension sensor usually outputs three or four independent level signals, that is, gap signals, through different gap signal output channels. The corresponding gap measurement value can be obtained by decoding the gap signal. Usually, a suspension sensor is provided at each suspension point of the maglev train, and each suspension sensor has three to four probes (corresponding to three or four gap signal output channels) along the direction of the train track. Usually, the distance between adjacent probes is 9 cm, which is used to measure the gap value between the maglev train of the corresponding carriage and the train track.

[0051] In the embodiments of the present application, all gap signal output channels of all suspension sensors on the maglev train can be tested simultaneously. The execution of the test can be performed periodically.

[0052] S102 and S101 have no sequence, and can be performed simultaneously, that is, the operations of collecting the gap signals output by the target gap signal output channel of the target suspension sensor and determining the gap value measurement range between the maglev train and the train track according to the operating state of the maglev train are performed simultaneously, so as to ensure the accuracy of the gap value measurement range for measuring the gap fault of the suspension sensor.

[0053] For S102, the gap value between the maglev train and the train track measured by the suspension sensor refers to the controlled distance between the electromagnet of the maglev train approaching the train track and the electromagnet of the train track. A common cross-section of the train track is T-shaped, with electromagnets provided at both shoulders of the T. The electromagnet of the maglev train is located at the position where it clasps both shoulders of the T. That is, usually when the maglev train is in a suspended state, the gap value between the maglev train and the train track is smaller than when the maglev train is in a landing state. Usually, the decoding range of the gap signal of the suspension sensor is 0 to 20 mm, the gap value measurement range in the normal suspended state is generally 6 to 12 mm, and the gap value measurement range in the normal landing state is generally 14 to 18 mm.

[0054] By controlling the coil current in the electromagnet of the maglev train and the coil current in the electromagnet of the train track, the suspension height of the maglev train can be controlled. Therefore, according to the suspension current of the maglev train, it can be determined whether the maglev train is in a suspended state or a landing state, and whether the maglev train is moving is also an important basis for judging the operating state of the maglev train. Therefore, in S102, determining the gap value measurement range between the maglev train and the train track according to the operating state of the maglev train where it is located specifically includes: determining the gap value measurement range according to the suspension current and the operating speed of the maglev train.

[0055] It should be noted that during the operation of the train, although it is in a suspended state, due to the objective existence of the rail gap, when the level signal values of 3 or 4 independent channels are at the rail gap position, the output range is generally 12 to 20 mm, and the specific value is related to the rail gap width and the operating speed. The wider the rail gap and the slower the speed, the larger the output gap value. Therefore, it is difficult to judge the fault through a single value of the suspension gap. Therefore, in the method for detecting the gap fault of the suspension sensor provided in the embodiments of the present application, by collecting multiple gap signals of the target gap signal output channel of the target suspension sensor, and even continuously collecting multiple gap signals, the accuracy of the detection result of the gap fault of the suspension sensor is ensured.

[0056] For S103, compare the gap measurement value decoded from the gap signal with the gap value measurement range. If the gap measurement value is within the gap value measurement range, it is considered that the gap measurement value can be adopted, and the target gap signal output channel of the corresponding target suspension sensor is fault-free; if the gap measurement value exceeds the gap value measurement range, it is considered that the gap measurement value cannot be adopted, and the target gap signal output channel of the corresponding target suspension sensor is faulty.

[0057] In the embodiment of the present application, the target gap signal output channel can be all the gap signal output channels of the target suspension sensor, and the target suspension sensor can be the suspension sensors provided in each carriage of the maglev train. Then, the method for detecting the gap fault of the suspension sensor provided in the embodiment of the present application may further include: outputting the fault diagnosis results corresponding to the target gap signal output channels of each target suspension sensor of the maglev train.

[0058] For the suspension sensor with a faulty gap signal output channel, it can be directly replaced to ensure the safety of the maglev train operation.

[0059] The method for detecting the gap fault of the suspension sensor provided in the embodiment of the present application collects multiple gap signals through the target gap signal output channel of the target suspension sensor, and at the same time determines the gap value measurement range between the maglev train and the train track according to the operating state of the maglev train where it is located. Then, based on the gap measurement value decoded from the gap signal and the gap value measurement range, the fault diagnosis result of the target gap signal output channel of the target suspension sensor is analyzed. By combining the operating state of the maglev train to determine the gap value measurement range, it is not necessary to consider the design principle of the suspension sensor to monitor the fault of the suspension sensor itself, and it can directly judge whether the gap signal output by the suspension sensor is normal. Compared with the method of monitoring the working state of the suspension sensor from the design principle of the suspension sensor to detect the gap fault of the suspension sensor, it can more quickly determine whether the gap signal of the suspension sensor can be used, and determine whether the suspension sensor has a fault for timely replacement, thereby ensuring the reliability of the gap signal in the maglev train suspension control and ensuring the smooth operation of the maglev train.

[0060] Embodiment 2

[0061] On the basis of the above embodiment, to improve the detection efficiency of the gap fault of the suspension sensor and facilitate the train operation and maintenance personnel to view the specific fault situation, in the method for detecting the gap fault of the suspension sensor provided in the embodiment of the present application, S103: According to the gap measurement value decoded from the gap signal and the gap value measurement range, analyze the fault diagnosis result of the target gap signal output channel of the target suspension sensor, which may specifically be: Substitute the gap measurement value into each fault diagnosis module to respectively obtain the detection results of multiple fault types for the target gap signal output channel.

[0062] In specific implementation, a deployment fault diagnosis module is pre-written. Each fault diagnosis module corresponds to a fault diagnosis logic. Specifically, the number of gap signals required for fault diagnosis and the threshold for measuring whether there is a fault in the target gap signal output channel of the target suspension sensor are designed. By respectively inputting the gap measurement values and the gap value measurement ranges obtained by decoding the gap signals into each fault diagnosis module, multiple fault diagnosis modules perform independent and parallel fault diagnosis, and finally the fault types are output in parallel.

[0063] The embodiment of the present application further provides a design scheme for a fault diagnosis module.

[0064] In the method for detecting the gap fault of the suspension sensor provided in the embodiment of the present application, the types of the fault diagnosis module may specifically include: no decoding output fault, output constant fault, bit error rate exceeding the standard fault, gap not conforming to the suspension logic fault, and gap not conforming to the landing logic fault, which may be respectively recorded as the first type of gap fault, the second type of gap fault, the third type of gap fault, the fourth type of gap fault, and the fifth type of gap fault, and are respectively detected by a no decoding output fault judgment module, an output constant fault judgment module, a bit error rate exceeding the standard fault judgment module, a gap not conforming to the suspension logic fault judgment module, and a gap not conforming to the landing logic fault judgment module.

[0065] Assume that N (N is a positive integer) gap signals are sampled from the target gap signal output channel of the target suspension sensor, and N gap measurement values S1, S2......S N-1 、S N are decoded. Among them, the N gap measurement values may be the gap measurement values corresponding to N gap signals continuously output by the target gap signal output channel of the target suspension sensor. Usually, a gap signal output channel of a suspension sensor outputs a gap signal every 25 microseconds, so more than 100 gap signals with an interval time of 25 microseconds can be collected to obtain more than 100 gap measurement values S1, S2......S N-1 、S N .

[0066] Among them, the no decoding output fault means that the continuous first preset number of gap signals output by the target gap signal output channel all exceed the first range of the gap signal output value of the target suspension sensor.

[0067] The judgment logic of the no decoding output fault judgment module may specifically be: If the gap measurement values S1, S2......S N-1 、S NIf they all exceed the first range (such as 0 to 20 mm), it is considered that a decoding error occurs, and a first type of gap fault (no decoding output fault) is output. Otherwise, no first type of gap fault (no decoding output fault) is output.

[0068] The output constant fault means that the gap measurement values decoded from the continuous second preset number of gap signals output by the target gap signal output channel are all equal.

[0069] The judgment logic of the output constant fault judgment module can specifically be: If S1 = S2...... = S N-1 = S N = K (K is a fixed value within the first range of 0 to 20 mm), then a second type of gap fault (output constant fault) is output. Otherwise, no second type of gap fault (no decoding output fault) is output.

[0070] The bit error rate exceeding the standard fault means that the proportion of the number of gap signals that cannot be decoded in the gap signals output by the target gap signal output channel within the first time period to the total amount of all gap signals output within the first time period exceeds the bit error rate threshold.

[0071] The judgment logic of the bit error rate exceeding the standard fault judgment module can specifically be: If the bit error rate a is greater than or equal to the bit error rate threshold A (the bit error rate threshold A can be 50%), then a third type of gap fault (bit error rate exceeding the standard fault) is output; otherwise, no third type of gap fault (bit error rate exceeding the standard fault) is output. Here, the definition of the bit error rate a is: within the first time period T1 (which can be 5 seconds), the percentage value of the amount X of gap signals that cannot be normally decoded to the total amount Y of gap signals output by the suspension sensor during this period, that is, a = X / Y * 100%.

[0072] The gap not meeting the suspension logic fault means that when the maglev train is in the suspended state, the average value of the gap signals output by the target gap signal output channel within the second time period exceeds the second range corresponding to the suspended state of the maglev train.

[0073] The suspended state of the maglev train can be determined by the suspension current of the maglev train and the running speed of the maglev train. For example, the suspended state of the maglev train can be that the suspension current of the maglev train is greater than the first current threshold I1 (which can be 5 amperes) and the running speed of the maglev train is greater than zero (V > 0 Km / h). The judgment logic of the gap not meeting the suspension logic fault judgment module can specifically be: When the maglev train is in the suspended state (such as when the suspension current is greater than the first current threshold I1 and the non-zero speed condition is satisfied), the gap measurement values S1, S2...... S N-1 、S NWhether the mean value S1 within the range of the second time period T2 (which can be 5 seconds) is included in the second range B (which can be taken as 6 - 12 mm) (in order to exclude the error of a single gap signal, the value of N here can be a natural number greater than or equal to 100). If S1 is not included in the second range B, then output that there is a fourth type of gap fault (gap not conforming to the suspension logic fault); otherwise, output that there is no fourth type of gap fault (gap not conforming to the suspension logic fault).

[0074] The gap not conforming to the landing logic fault means that when the maglev train is in the landing state, the mean value of the gap signals output by the target gap signal output channel within the third time period exceeds the third range corresponding to the landing state of the maglev train.

[0075] In the embodiment of the present application, the landing state of the maglev train refers to that when the maglev train is in the running state, a certain suspension point accidentally lands. At this time, usually the gap value between the electromagnet part of the maglev train and the train track will increase. If the landing state of the maglev train is not considered, it will lead to misjudgment of the gap signal. The landing state of the maglev train can also be determined by the suspension current of the maglev train and the running speed of the maglev train. For example, the landing state of the maglev train can be that the suspension current of the maglev train is less than the second current threshold I2 (which can be 5 amperes) and the running speed of the maglev train is greater than zero (V > 0 Km / h). The judgment logic of the gap not conforming to the landing logic fault judgment module can specifically be: when the train is in the landing state (such as both the suspension current being less than the second current threshold I2 and the non - zero speed condition are satisfied), the gap measurement values S1, S2......S N-1 、S N Whether the mean value S2 within the range of the third time period T3 (which can be 5 seconds) is included in the third range C (which can be taken as 14 - 18 mm) (in order to exclude the error of a single gap signal, the value of N here can be a natural number greater than or equal to 100). If S2 is not included in the third range C, then output that there is a fifth type of gap fault (gap not conforming to the landing logic fault); otherwise, output that there is no fifth type of gap fault (gap not conforming to the landing logic fault).

[0076] It should be noted that the judgment conditions of the fourth type of gap fault and the fifth type of gap fault will not be triggered simultaneously, that is, the suspension point of the maglev train will not be in the suspension state and the landing state at the same time. The non - zero speed condition (V > 0 Km / h) is to avoid misjudgment caused by the suspension sensor being on the rail gap (i.e., the gap between adjacent sections of the train track) due to suspension or landing. And the calculation time of the gap mean value (the second time period T2, the third time period T3) is mainly to reduce the interference of the gap information caused by the suspension sensor being on the rail gap due to suspension or landing.

[0077] After separately completing the diagnosis of the above-mentioned multiple fault diagnosis modules, the output results of each fault diagnosis module are summarized to obtain the fault diagnosis result of the target gap signal output channel of the target suspension sensor.

[0078] Embodiment III

[0079] Based on the above embodiment, the actual application scenario of the method for detecting the gap fault of the suspension sensor provided in the embodiment of the present application is described by taking a target suspension sensor with four target gap signal output channels as an example.

[0080] In the first case, assume that the gap signals of the four target gap signal output channels of the target suspension sensor are completely normal; then, after the gap signals output by the four target gap signal output channels are decoded by the decoding module, they pass through the no-decoding output fault judgment module, the output constant fault judgment module, the bit error rate exceeding the standard fault judgment module, the gap not conforming to the suspension logic fault judgment module, and the gap not conforming to the landing logic fault judgment module in parallel. Since the fault judgment logic is not triggered, the gap fault output module finally outputs the fault diagnosis result that all four target gap signal output channels are normal.

[0081] In the second case, assume that the gap signals output by the first target gap signal output channel of the target suspension sensor, after being decoded by the decoding module, the output gap measurement values S1, S2......S N-1 、S N all exceed the first range 0-20 mm of the gap signal output value. Then, when the gap signal of the first target gap signal output channel passes through the no-decoding output fault judgment module, the judgment condition of the first type of gap fault will be triggered, and the no-decoding output fault will be reported; while the measured gaps of the other three target gap signal output channels are normal, the gap fault output module outputs the fault diagnosis result that there is a no-decoding output fault in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal.

[0082] In the third case, assume that the gap signals output by the first target gap signal output channel of the target suspension sensor, after being decoded by the decoding module, the output gap measurement values S1 = S2...... = S N-1 = S N=K (K is a fixed value within the first range of 0 - 20 mm, N ≥ 100), when the gap signal of the first target gap signal output channel passes through the output constant fault judgment module, the judgment condition of the second type of gap fault will be triggered, and the output constant fault will be reported; while the gaps measured by the other three target gap signal output channels are normal, then the gap fault output module outputs the fault diagnosis result that there is an output constant fault in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal;

[0083] Further, after the gap signal output from the first target gap signal output channel of the target suspension sensor is decoded by the decoding module, the output gap measurement values S1, S2......S N-1 、S N When passing through the gap not meeting the suspension logic fault judgment module, if the suspension current is greater than the first current threshold I1 and non-zero speed (I1 > 5A & V > 0Km / h) conditions are met at this time, and S1, S2......S N-1 、S N The mean value S1 = K within the second time period T2 (T2 ≥ 5s) range, and K is not within the second range B (6 - 12 mm), will simultaneously trigger the fourth type of gap fault and report the gap not meeting the suspension logic fault;

[0084] Or, after the gap signal output from the first target gap signal output channel of the target suspension sensor is decoded by the decoding module, the output gap measurement values S1, S2......S N-1 、S N When passing through the gap not meeting the suspension logic fault judgment module, if the suspension current is less than the second current threshold I2 and non-zero speed (I2 < 5A & V > 0Km / h) conditions are met at this time, and S1, S2......S N-1 、S N The mean value S2 = K within the third time period T3 (T3 ≥ 5s) range, and K is not within the third range C (14 - 18 mm), will simultaneously trigger the fifth type of gap fault and report the gap not meeting the landing logic fault;

[0085] In summary, if the gap signal of the first target gap signal output channel triggers the judgment condition of the third type of gap fault when passing through the output constant fault judgment module, and triggers the judgment condition of the fourth type of gap fault or the judgment condition of the fifth type of gap fault when passing through the gap non-compliance suspension logic fault judgment module and the gap non-compliance landing logic fault judgment module, and the gaps measured by the other three target gap signal output channels are normal, then the gap fault output module outputs the fault diagnosis result that there is an output constant fault and a gap non-compliance suspension logic fault (or there is an output constant fault and a gap non-compliance landing logic fault) in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal.

[0086] In the fourth case, assume that after the gap signal output by the first target gap signal output channel of the target suspension sensor is decoded by the decoding module, the amount of gap signals X that cannot be normally decoded is 800, and the total amount of gap signals output by the suspension sensor in the full time period Y is 1000, that is, the output error rate a1 of the first target gap signal output channel is a1 = X / Y * 100% = 80%. When the gap signal of the first target gap signal output channel passes through the error rate exceeding standard fault judgment module, because 80% is greater than the error rate threshold A (50%), the judgment condition of the third type of gap fault is triggered, and the error rate exceeding standard fault is reported. Since the gaps measured by the other three target gap signal output channels are normal, the gap fault output module outputs the fault diagnosis result that there is an error rate exceeding standard fault in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal.

[0087] In the fifth case, assume that the maglev train is in the suspended and non-zero speed condition, and the gap signals S1, S2......S N-1 、S N output by the first target gap signal output channel of the target suspension sensor have an average value S1 = Q (Q is a variable and Q is not within the second range B) within the second time period T2 (5 seconds). When the gap signal of the first target gap signal output channel passes through the gap non-compliance suspension logic fault judgment module, since Q is not within the range of 6 - 12 mm, the judgment condition of the fourth type of gap fault is triggered, and the gap non-compliance suspension logic fault is reported. Since the gaps measured by the other three target gap signal output channels are normal, the gap fault output module outputs the fault diagnosis result that there is a gap non-compliance suspension logic fault in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal.

[0088] In the sixth case, assume that the maglev train is in the landing and non-zero speed condition, and the gap signals S1, S2......S output by the first target gap signal output channel of the target suspension sensorN-1 , S N The average value S2 in the third time period T3 (T3≥5s) is S2 = P (P is a variable and P is not within the third range C). When the gap signal of the first target gap signal output channel of the target suspension sensor passes through the gap non-conforming landing logic fault judgment module, since P is not within the range of 14 - 18 mm, the judgment condition for the fifth type of gap fault is triggered, and the gap non-conforming landing logic fault is reported. While the gap is measured to be normal for the other three target gap signal output channels, the gap fault output module outputs the fault diagnosis result that there is a gap non-conforming landing logic fault in the first target gap signal output channel of the target suspension sensor, and the second, third, and fourth gap signal output channels of the target suspension sensor are normal.

[0089] Finally, the gap fault output module aggregates and outputs the gap fault diagnosis information.

[0090] In summary, when diagnosing the gap fault of the target gap signal output channel of the target suspension sensor, in combination with the suspension current (suspension / landing state) and running speed (non-zero speed condition) of the maglev train in the actual running state, the fault of the gap input signal of each path is judged through the judgment conditions in a parallel relationship. The gap fault judgment of each path is independent of each other. The gap fault of each path may trigger the judgment conditions of multiple fault types simultaneously, and different types of gap faults of all paths of the suspension sensor can be judged in parallel.

[0091] The above text details each embodiment corresponding to the detection method of the gap fault of the suspension sensor. On this basis, the present application also discloses a detection device, equipment, and computer-readable storage medium for the gap fault of the suspension sensor corresponding to the above method.

[0092] Embodiment 4

[0093] Figure 2 It is a schematic structural diagram of a detection device for the gap fault of a suspension sensor provided by an embodiment of the present application.

[0094] As Figure 2 shown, the detection device for the gap fault of the suspension sensor provided by the embodiment of the present application includes:

[0095] An acquisition unit 201, configured to acquire a plurality of gap signals for the target gap signal output channel of the target suspension sensor;

[0096] A determination unit 202, configured to determine the gap value measurement range between the maglev train and the train track according to the running state of the maglev train where it is located;

[0097] A detection unit 203, configured to analyze and obtain the fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range.

[0098] Further, the detection device for the suspension sensor gap fault provided by the embodiment of the present application further includes:

[0099] An output module, configured to output a fault diagnosis result corresponding to each target gap signal output channel of each target suspension sensor of the maglev train.

[0100] Since the embodiments in the device part correspond to the embodiments in the method part, please refer to the description of the embodiments in the method part for the embodiments in the device part, and details are not described herein for the moment.

[0101] Embodiment 5

[0102] Figure 3 It is a schematic structural diagram of a detection device for a suspension sensor gap fault provided by an embodiment of the present application.

[0103] As Figure 3 shown, the detection device for a suspension sensor gap fault provided by an embodiment of the present application includes:

[0104] A memory 310, configured to store a computer program 311;

[0105] A processor 320, configured to execute the computer program 311, and when the computer program 311 is executed by the processor 320, the steps of the detection method for the suspension sensor gap fault described in any one of the above embodiments are implemented.

[0106] Wherein, the processor 320 may include one or more processing cores, such as a 3-core processor, an 8-core processor, etc. The processor 320 may be implemented in at least one of the hardware forms of a digital signal processor DSP (Digital Signal Processing), a field programmable gate array FPGA (Field-Programmable Gate Array), and a programmable logic array PLA (Programmable Logic Array). The processor 320 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the wake state, also known as the central processing unit CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 320 may be integrated with a graphics processing unit GPU (Graphics Processing Unit), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 320 may further include an artificial intelligence AI (Artificial Intelligence) processor, and the AI processor is used to process computational operations related to machine learning.

[0107] The memory 310 may include one or more computer-readable storage media, which may be non-transitory. The memory 310 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In this embodiment, the memory 310 is at least used to store the following computer program 311. After the computer program 311 is loaded and executed by the processor 320, it can implement the relevant steps in the detection method of the suspension sensor gap fault disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 310 may also include an operating system 312 and data 313, etc., and the storage method may be transient storage or permanent storage. Among them, the operating system 312 may be Windows. The data 313 may include but is not limited to the data involved in the above method.

[0108] In some embodiments, the detection device for the suspension sensor gap fault may further include a display screen 330, a power supply 340, a communication interface 350, an input / output interface 360, a sensor 370, and a communication bus 380.

[0109] Those skilled in the art can understand that Figure 3 the structure shown in does not constitute a limitation on the detection device for the suspension sensor gap fault, and may include more or fewer components than shown in the figure.

[0110] The detection device for the suspension sensor gap fault provided by the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the detection method of the suspension sensor gap fault as described above, and the effect is the same.

[0111] Embodiment Six

[0112] It should be noted that the device and equipment embodiments described above are only illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other may be through some interfaces. The indirect couplings or communication connections of the devices or modules may be electrical, mechanical or other forms. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place, or may be distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0113] In addition, in each embodiment of the present application, each functional module can be integrated into a processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0114] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in each embodiment of the present application.

[0115] Therefore, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the steps of the method for detecting the suspension sensor gap fault as described above.

[0116] The computer-readable storage medium may include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory ROM (Read-Only Memory), random access memory RAM (Random Access Memory), magnetic disks, or optical discs.

[0117] The computer program included in the computer-readable storage medium provided in this embodiment can implement the steps of the method for detecting the suspension sensor gap fault as described above when executed by a processor, and the effect is the same as above.

[0118] The above has introduced in detail a method, device, equipment, and computer-readable storage medium for detecting the suspension sensor gap fault provided by the present application. The embodiments in the specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the devices, equipment, and computer-readable storage media disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method part. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

[0119] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the said element.

Claims

1. A detection method for the gap fault of a suspension sensor, characterized in that, Including: Collecting a plurality of gap signals from the target gap signal output channel of the target suspension sensor; Determining the gap value measurement range between the maglev train and the train track according to the operating state of the maglev train; Analyzing to obtain the fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range; The determining the gap value measurement range between the maglev train and the train track according to the operating state of the maglev train specifically includes: Determining the gap value measurement range according to the suspension current of the maglev train and the running speed of the maglev train; The analyzing to obtain the fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range specifically includes: Substituting the gap measurement value into each fault diagnosis module to respectively obtain the detection results of multiple fault types for the target gap signal output channel.

2. The detection method according to claim 1, wherein The collecting a plurality of gap signals from the target gap signal output channel of the target suspension sensor specifically includes: Continuously collecting more than a preset number of the gap signals from the target gap signal output channel.

3. The detection method according to claim 1, wherein The types of the fault diagnosis modules specifically include: no decoding output fault, output constant fault, bit error rate exceeding standard fault, gap not conforming to suspension logic fault, and gap not conforming to landing logic fault; Wherein, the no decoding output fault means that the continuous first preset number of the gap signals output by the target gap signal output channel all exceed the first range of the gap signal output value of the target suspension sensor; The output constant fault means that the gap measurement values decoded from the continuous second preset number of the gap signals output by the target gap signal output channel are all equal; The bit error rate exceeding standard fault means that the proportion of the number of the gap signals that cannot be decoded in the gap signals output by the target gap signal output channel within the first time period to the total amount of all the gap signals output within the first time period exceeds the bit error rate threshold; The gap not conforming to suspension logic fault means that when the maglev train is in the suspension state, the average value of the gap signals output by the target gap signal output channel within the second time period exceeds the second range corresponding to the suspension state of the maglev train; The gap not conforming to landing logic fault means that when the maglev train is in the landing state, the average value of the gap signals output by the target gap signal output channel within the third time period exceeds the third range corresponding to the landing state of the maglev train.

4. The detection method according to claim 3, characterized in that, The suspension state of the maglev train specifically means that the suspension current of the maglev train is greater than the first current threshold and the running speed of the maglev train is greater than zero; The landing state of the maglev train means that the suspension current of the maglev train is less than the second current threshold and the running speed of the maglev train is greater than zero.

5. The detection method according to claim 1, characterized in that, The target gap signal output channel is specifically all the gap signal output channels of the target suspension sensor, and the target suspension sensor is specifically the suspension sensors arranged in each carriage of the maglev train; The detection method further includes: Outputting a fault diagnosis result corresponding to each target gap signal output channel of each of the target suspension sensors of the maglev train.

6. A detection device for the gap fault of a suspension sensor, characterized in that Including: An acquisition unit configured to acquire a plurality of gap signals for a target gap signal output channel of a target suspension sensor; A determination unit configured to determine a gap value measurement range between the maglev train and the train track according to the operating state of the maglev train where it is located; A detection unit configured to analyze and obtain a fault diagnosis result of the target gap signal output channel of the target suspension sensor according to the gap measurement value decoded from the gap signal and the gap value measurement range; The determination unit is specifically configured to determine the gap value measurement range according to the suspension current of the maglev train and the running speed of the maglev train; The detection unit is specifically configured to substitute the gap measurement value into each fault diagnosis module to respectively obtain a plurality of fault type detection results for the target gap signal output channel.

7. A detection device for the gap fault of a suspension sensor, characterized in that, Including: A memory for storing a computer program; A processor for executing the computer program, and when the computer program is executed by the processor, it implements the steps of the detection method for the suspension sensor gap fault as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the detection method for the suspension sensor gap fault as described in any one of claims 1 to 5.

Images