Testing device after abnormal parking of maglev train
By integrating electromagnetic induction modules and multi-source sensors, the problems of low detection efficiency and inaccurate data acquisition after abnormal stops of maglev trains have been solved, achieving efficient and reliable detection that is suitable for safety diagnosis and emergency response in complex environments.
Patent Information
- Application Number
- CN202520422150.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2026-01-30
- Estimated Expiration
- 2035-03-11
AI Technical Summary
When a maglev train stops abnormally, traditional detection devices suffer from low detection efficiency, inaccurate data collection, and are prone to failure, posing safety hazards, especially in complex environments.
The device employs an electromagnetic induction module for non-contact current and temperature detection, combined with attitude acquisition from a nine-axis sensor and a magnetic sensor. Data processing is performed using a multi-core processor, and an independent power supply module ensures the stability and redundancy of the device.
It enables efficient and accurate detection of abnormal stopping conditions of maglev trains under energized conditions, expands the detection range, improves the reliability and environmental adaptability of detection, and provides a rapid and accurate diagnosis and emergency response solution.
Smart Images
Figure CN223850625U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model relates to the technical field of maglev train detection, specifically to a test device after abnormal parking of maglev train. BACKGROUND
[0002] In the operation of maglev train, the safety detection after abnormal parking faces multiple technical bottlenecks: the traditional contact type brush detection needs physical contact with the power supply line of electromagnet, is easy to produce arc spark and must be implemented in the power-off state, resulting in low detection efficiency; the conventional attitude sensor adopts mechanical gyroscope or single-axis inclinometer, when the vehicle body is tilted more than ± 15 ° due to derailment or track deformation, it cannot effectively collect data; the existing test device relies on single power supply, and the detection system fails immediately after the train is powered off, and cannot complete the key fault data recording. Especially in mountainous areas or complex climate (such as heavy rain, ice and snow) scenes, the vehicle body may be tilted at a large angle (more than ± 30 °) due to track icing or strong crosswind, at this time, the traditional detection device cannot accurately judge the state of electromagnet, and cannot reliably obtain the attitude information of vehicle body, resulting in safety hazards in subsequent rescue. In addition, the data processing module in the prior art adopts single-core processor to process multiple source signals in time-sharing mode, which is easy to cause data cross interference, resulting in high false alarm rate.
[0003] The above information disclosed in the background section is only used to strengthen the understanding of the background of the present disclosure, so it can include information that does not constitute prior art known to those of ordinary skill in the art. UTILITY MODEL CONTENT
[0004] The utility model aims at providing a test device after abnormal parking of maglev train to solve the problems raised in the above background technology.
[0005] To achieve the above purpose, the utility model provides the following technical scheme:
[0006] A test device after abnormal parking of maglev train, specifically comprising:
[0007] The electromagnetic induction module is connected with the train electromagnet through electromagnetic coupling, and is used for detecting the current and temperature of the train electromagnet;
[0008] The attitude acquisition module is arranged at the bottom of the train, and is used for detecting the tilt angle of the train body;
[0009] The data processing module is electrically connected with the electromagnetic induction module and the attitude acquisition module, and is used for processing the data detected by the electromagnetic induction module and the attitude acquisition module;
[0010] The alarm module is used for issuing sound and light alarm according to the output signal of the data processing module;
[0011] A power supply module for powering the entire test device.
[0012] Preferably, the electromagnetic induction module comprises a current detection unit, a temperature detection unit, and a signal emitting unit.
[0013] The current detection unit is a Hall current sensor, which is sleeved on the outer surface of the power cable of the train electromagnet, and is used for detecting the current of the train electromagnet.
[0014] The temperature detection unit is an infrared temperature measurement probe, which is installed opposite to the surface of the train electromagnet, and is used for detecting the temperature of the train electromagnet.
[0015] The signal emitting unit is a high-frequency signal injection coil, which is wound on the insulated support on the track side, and is used for generating a high-frequency test signal for the train electromagnet.
[0016] Preferably, the signal emitting unit is electrically connected with a programmable filter between the data processing module, and the cutoff frequency of the programmable filter is controlled by the PWM signal of the data processing module.
[0017] Preferably, the data processing module comprises two groups of microprocessor units and an analog switch array unit.
[0018] The two groups of microprocessor units, one of which is electrically connected with the electromagnetic induction module and internally pre-stored with a fast Fourier transform algorithm, is used for analyzing the current harmonic components of the train electromagnet, and the other of which is electrically connected with the attitude acquisition module and internally pre-stored with a Kalman filter algorithm, is used for processing the tilt angle of the train body.
[0019] The analog switch array unit is used for switching the signal acquisition channel according to the instructions of the two groups of microprocessor units.
[0020] Preferably, the attitude acquisition module comprises a nine-axis sensor and a magnetic sensor, which are orthogonally arranged through a rigid support.
[0021] Preferably, the nine-axis sensor is further provided with a signal isolator, and the output end of the signal isolator is electrically connected with the other group of microprocessor units.
[0022] Preferably, the alarm module comprises a group of variable color LED arrays and a buzzer, and both of which are electrically connected with one of the output ends of the data processing module through an optoelectronic coupler.
[0023] Preferably, the power supply module comprises a boost-buck voltage stabilizer and a capacitor charger, the boost-buck voltage stabilizer is used for providing a stable power supply for the test device, the capacitor charger is used as a backup power supply, and the output ends of the two are connected through a power supply switching switch to realize seamless switching.
[0024] Compared with the prior art, the utility model has the beneficial effects that:
[0025] The utility model discloses a non - contact type electromagnetic coupling detection, multi - source sensor fusion and hardware redundancy design have realized the high - efficiency safe detection under the abnormal parking state of maglev train. Electromagnetic induction module utilizes magnetic field coupling principle to replace physical contact, can complete the electromagnetic iron dynamic parameter acquisition under the electrified state, reduces the short - circuit risk in the detection process, attitude acquisition module can break through the inclination detection range limit of traditional sensor, enlarges the detection range of train, two groups of microprocessor and independent power supply architecture ensure that the parallel processing of multichannel data and power - off continuous working capacity, improve the detection reliability under complex working condition. The whole set of device ensures the detection precision, and has strong environmental adaptability simultaneously, provides the fast and accurate solution for the rapid diagnosis and emergency disposal after the abnormal parking of maglev train. BRIEF DESCRIPTION OF DRAWINGS
[0026] Figure 1 It is module structure schematic drawing for the utility model. DETAILED DESCRIPTION
[0027] In order to make the purpose, technical scheme and advantage of the utility model more clearly, the following is in combination with specific embodiment, and the utility model is further detailed.
[0028] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the utility model should be understood as the usual meaning of the person skilled in the art to which the utility model belongs. The "first", "second" and similar words used in the utility model do not represent any order, quantity or importance, but are only used to distinguish different components. "Include" or "contain" and similar words mean that the elements or objects before the word cover the elements or objects listed after the word and their equivalents, and do not exclude other elements or objects. "Connection" or "connected" and similar words are not limited to physical or mechanical connection, but can include electrical connection, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to represent the relative positional relationship, when the absolute position of the described object changes, the relative positional relationship may also change accordingly.
[0029] Embodiment:
[0030] Please refer to Figure 1 The utility model provides a technical scheme:
[0031] A kind of test device after the abnormal parking of maglev train, specifically includes: electromagnetic induction module, attitude acquisition module, data processing module, alarm module, power supply module.
[0032] The electromagnetic induction module is connected with the train electromagnet through electromagnetic coupling, and is used for detecting the current and temperature of the train electromagnet.
[0033] Specifically, the electromagnetic induction module comprises a current detection unit, a temperature detection unit and a signal transmitting unit.
[0034] The current detection unit is a Hall current sensor, which can adopt a Hall chip of ACS730 series, is sleeved on the outer surface of the power cable of the train electromagnet, is used for detecting the current of the train electromagnet through the magnetic field induction principle, and has a detection range of 0-500A, so as to avoid the electric arc risk caused by physical contact.
[0035] The temperature detection unit is an infrared temperature detection probe, which can adopt an infrared temperature sensor of MLX90614 series, is installed opposite to the surface of the train electromagnet, is used for detecting the temperature of the train electromagnet, and identifies the local overheating area, and has a detection range of -40-125℃.
[0036] The signal transmitting unit is a high-frequency signal injection coil, which can adopt a high-frequency drive chip of LT3999 series, is wound on the insulated support on the track side, is used for generating a high-frequency test signal of about 1MHz to the train electromagnet, and analyzes the coil impedance characteristics through the feedback signal, so that the dynamic measurement can be carried out without cutting off the power supply of the train electromagnet, so as to detect the hidden faults such as coil turn-to-turn short circuit.
[0037] The programmable filter is electrically connected between the signal transmitting unit and the data processing module, and can adopt a programmable filter of LTC1563-7 series, the cutoff frequency of which is controlled by the PWM signal of the data processing module, so that the passband can be dynamically adjusted according to the signal characteristics, and the environmental noise interference can be suppressed.
[0038] During detection, the Hall sensor is annularly sleeved on the outer surface of the electromagnet power cable, non-contact current monitoring is realized through magnetic field induction, the infrared temperature detection unit is aligned with the surface of the electromagnet, and the temperature distribution is captured in real time, and the high-frequency coil is wound on the track insulated support, and the test signal is injected into the electromagnet. Compared with the contact type brush measurement in the traditional technology, the isolation detection device through magnetic field coupling not only avoids physical contact and reduces the risk of short-circuit spark, but also does not need to cut off the train electromagnet, and the detection efficiency is improved.
[0039] The attitude acquisition module is arranged at the bottom of the train, and is used for detecting the inclination angle of the train body.
[0040] The posture acquisition module comprises a nine-axis sensor and a magnetic sensor. The nine-axis sensor can be an MPU-9250 series nine-axis sensor, and the magnetic sensor can be an MLX90393 series magnetic sensor. The two are orthogonally arranged through a rigid support and data transmission is performed through an SPI bus. The nine-axis sensor is further provided with a signal isolator, which can be an ADUM1250 series signal isolator, and the output end of the signal isolator is electrically connected to another microprocessor unit.
[0041] The nine-axis sensor can detect the acceleration, angular velocity and inclination angle changes of the vehicle body in the X / Y / Z three-axis. The magnetic sensor can detect the three-dimensional magnetic field intensity distribution around the vehicle body, and assist in judging the relative position of the vehicle body and the track. Therefore, the posture acquisition module can capture the acceleration / angle velocity changes of the vehicle body, and the magnetic sensing unit monitors the electromagnetic field space distribution. After data fusion, the three-dimensional posture is reconstructed. Compared with the gyroscope in the traditional technology, the volume is smaller, the stability is stronger, and the drift is less likely to occur. The detection range of the inclination angle is also larger, and it is more suitable for abnormal parking conditions.
[0042] The data processing module is electrically connected to the electromagnetic induction module and the posture acquisition module, and is used for data processing of the data detected by the electromagnetic induction module and the posture acquisition module.
[0043] The data processing module comprises two groups of microprocessor units and an analog switch array unit.
[0044] The two groups of microprocessor units can be ADSP-BF707 series dual-core processor chips, or two groups of single-core processor chips of other models. The input end can also be electrically connected to an AD7606 series A / D conversion chip for digital-to-analog conversion. One group is electrically connected to the electromagnetic induction module, and a fast Fourier transform algorithm is pre-set in the internal, which is used to analyze the current harmonic component of the train electromagnet. The other group is electrically connected to the posture acquisition module, and a Kalman filter algorithm is pre-set in the internal, which is used to process the inclination angle of the train body. When the harmonic component of the current, the temperature, the inclination angle and other data exceed the preset threshold, an alarm signal is generated at the output end. The fast Fourier transform algorithm and the Kalman filter algorithm, as well as the threshold judgment method, are all mature existing technologies, so they will not be described here.
[0045] The analog switch array unit can be an ADG1612 series analog switch array, which is used to switch the signal acquisition channel according to the instructions of the two groups of microprocessor units.
[0046] By setting two groups of microprocessor units to process the electromagnetic parameters and posture data of the train respectively, mutual interference between data can be avoided, and detection is performed from multiple angles. Compared with a single threshold method, the false positive rate is smaller and more accurate.
[0047] The alarm module includes a set of variable color LED array and a buzzer, and both are electrically connected with one of the output terminals of the data processing module through a photocoupler, for emitting sound and light alarm according to the output signal of the data processing module. Specifically, the color of the LED array can be used to distinguish the level of failure, for example, when the electromagnet temperature is out of limit or the current fluctuation is abnormal, it is considered as a first-level failure, the yellow light is on, when the train body inclination is > 30° or the coil impedance is abnormal, it is considered as a second-level failure, the red light is on, the buzzer intermittently buzzes, when the magnetic field is seriously unbalanced or the power supply is completely interrupted, it is considered as a third-level failure, the red light is on, and the buzzer continuously buzzes. These specific division methods are all mature prior art, and the specific settings can be determined according to the user's needs, and will not be described here.
[0048] The power supply module includes a boost-buck stabilizer and a capacitor charger, the boost-buck stabilizer can adopt an LM5170 type boost-buck stabilizer, which can convert the 24V power supply of the train into 12V or 5V output, for providing stable power supply to the test device, the capacitor charger can adopt an LTC3225 series capacitor charger, which can connect a capacitor group to act as a backup power supply, and the output terminals of the two are realized seamless switching through a power supply switching switch, which can adopt an ADG5412 type switching switch. Compared with the existing stabilizer and lead-acid battery in the traditional technology, the power supply module thus arranged not only can reduce heat and reduce volume, but also can avoid power supply interruption and improve the overall stability of the test device.
[0049] In summary, the utility model discloses a high-efficiency safe detection under the abnormal parking state of maglev train through non-contact electromagnetic coupling detection, multi-source sensor fusion and hardware redundancy design. The electromagnetic induction module uses the magnetic field coupling principle to replace physical contact, can complete the electromagnet dynamic parameter acquisition under the live state, reduces the short-circuit risk in the detection process;The attitude acquisition module can break through the inclination detection range limit of the traditional sensor, and expand the detection range of the train;Two groups of microprocessors and independent power supply architecture ensure the parallel processing of multiple channels and the continuous working ability of power failure, and improve the detection reliability under complex working conditions. The whole device ensures the detection accuracy, has strong environmental adaptability, and provides a fast and accurate solution for rapid diagnosis and emergency disposal after the abnormal parking of the maglev train.
[0050] The technical features of the above-described embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present disclosure.
[0051] The above-described embodiments only express several implementation manners of the utility model, the description is more specific and detailed, but can not therefore be understood as the limitation of the utility model patent range. It should be pointed out that for ordinary skilled person in the art, without departing from the utility model concept, several modifications and improvements can be made, which belong to the protection range of the utility model. Therefore, the protection range of the utility model patent should be subject to the appended claims.
Claims
1. A testing device for abnormal stopping of a maglev train, characterized in that, Specifically comprising: An electromagnetic induction module connected with the train electromagnet through electromagnetic coupling, for detecting the current and temperature of the train electromagnet; A posture acquisition module arranged at the bottom of the train, for detecting the inclination angle of the train body; A data processing module electrically connected with the electromagnetic induction module and the posture acquisition module, for processing the data detected by the electromagnetic induction module and the posture acquisition module; An alarm module for issuing sound and light alarm according to the output signal of the data processing module; A power supply module for supplying power to the whole test device.
2. The testing device for the abnormal stop of a maglev train according to claim 1, characterized in that: The electromagnetic induction module comprises a current detection unit, a temperature detection unit and a signal transmitting unit; The current detection unit is a Hall current sensor, which is sleeved on the outer surface of the power supply cable of the train electromagnet, for detecting the current of the train electromagnet; The temperature detection unit is an infrared temperature measurement probe, which is installed opposite to the surface of the train electromagnet, for detecting the temperature of the train electromagnet; The signal transmitting unit is a high-frequency signal injection coil, which is wound on the insulated support on the track side, for generating high-frequency test signals to the train electromagnet.
3. The testing device for the abnormal stop of a maglev train according to claim 2, characterized in that: A programmable filter is electrically connected between the signal transmitting unit and the data processing module, and the cutoff frequency of the programmable filter is controlled by the PWM signal of the data processing module.
4. The testing device for the abnormal stop of a maglev train according to claim 1, characterized in that: The data processing module comprises two groups of microprocessor units and an analog switch array unit; One group of the two groups of microprocessor units is electrically connected with the electromagnetic induction module, and is internally preset with a fast Fourier transform algorithm, for analyzing the current harmonic components of the train electromagnet, and the other group is electrically connected with the posture acquisition module, and is internally preset with a Kalman filter algorithm, for processing the inclination angle of the train body; The analog switch array unit is used to switch the signal acquisition channel according to the instructions of the two groups of microprocessor units.
5. The testing device for a maglev train after abnormal stop according to claim 4, characterized in that: The posture acquisition module comprises a nine-axis sensor and a magnetic sensor, which are orthogonally arranged through a rigid support.
6. The testing device for a maglev train after abnormal stop according to claim 5, characterized in that: The nine-axis sensor is further provided with a signal isolator, and the output end of the signal isolator is electrically connected with the other group of microprocessor units.
7. The testing device for a maglev train after abnormal stop according to claim 1, characterized in that: The alarm module comprises a group of variable color LED array and a buzzer, and both are electrically connected with one output end of the data processing module through an optoelectronic coupler.
8. The testing device for a maglev train after abnormal stop according to claim 1, characterized in that: The power supply module comprises a boost-buck voltage stabilizer and a capacitor charger, the boost-buck voltage stabilizer is used to provide stable power supply for the test device, and the capacitor charger is used as a backup power supply, and the output ends of the two are connected through a power supply switching switch to realize seamless switching.