A tire spike monitoring device based on an electromagnetic sensor array

Abstract

The application discloses a tire nail monitoring device based on an electromagnetic sensor array, which comprises an electromagnetic array, an excitation circuit, a detection circuit, a control circuit and an output interface, wherein the electromagnetic probe comprises a non-magnetic framework, an excitation coil is arranged on the outer ring of the non-magnetic framework, and the device further comprises an electromagnetic sensor, wherein the excitation circuit is connected with the excitation coil; the detection circuit is connected with the electromagnetic sensor and the excitation circuit respectively; the control circuit is connected with the excitation circuit and the detection circuit respectively; and the output interface is connected with the control circuit; the tire nail intelligent monitoring device provided by the application realizes abnormal detection of nail eddy current magnetic field based on the electromagnetic sensor, and can realize real-time, non-contact and strong anti-interference tire nail monitoring.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of tire defect detection equipment, and particularly relates to a tire nail monitoring device based on an electromagnetic sensor array. BACKGROUND

[0002] Tires are one of the main components of a vehicle, and the health of the tires directly affects the safety of the vehicle. In high-speed traffic accidents, about 30% of the accidents are directly caused by tire failure, and 70% of the failures are caused by tire burst. The loss of tire pressure caused by tire nails is an important factor that cannot be ignored. Tire nails are divided into two cases: one is that the tire nail has pierced the tire and caused a significant reduction in tire pressure, which can be detected by a tire pressure monitoring system; the other is that the tire nail has not pierced the tire, but has seriously damaged the structural strength and toughness of the tire, which poses a high safety hazard.

[0003] The existing tire state detection device can detect the tire state through the data collected by the microphone, and at this time, the tire needs to be compared and detected by combining the speed information and the audio information. The existing method can also detect the tire state through the fusion of various sensors such as millimeter wave radar and binocular camera.

[0004] The detection by collecting data through the microphone is easily affected by environmental noise (such as wind noise, rain noise, etc.) and human noise (such as horn sound, engine sound, etc.), which causes detection deviation. In addition, the millimeter wave radar is easily affected by changes in the propagation medium, such as changes in the dielectric constant caused by atmospheric temperature and humidity, and the binocular camera is easily affected by weather conditions such as rain and dust, so the existing detection method is easily affected by the surrounding environment, which causes the detection system to fail or even misreport. SUMMARY

[0005] The purpose of the present application is to provide a tire nail monitoring device based on an electromagnetic sensor array, which provides a strong anti-interference tire nail detection device.

[0006] The technical solution adopted by the present application is a tire nail monitoring device based on an electromagnetic sensor array, which comprises:

[0007] The electromagnetic array comprises a plurality of electromagnetic probes, and each electromagnetic probe comprises a tubular non-magnetic skeleton. An excitation coil is wound around the outer circle of the non-magnetic skeleton. The excitation coil generates eddy current and forms a magnetic field vortex when it is close to the tire. An electromagnetic sensor is arranged inside the non-magnetic skeleton, and the electromagnetic sensor is used to detect the magnetic field distribution formed by the excitation coil.

[0008] An excitation circuit is connected to the excitation coil and used to supply power to the excitation coil.

[0009] The detection circuit is connected with the electromagnetic sensor and is used for digitizing the magnetic field information generated by the electromagnetic sensor.

[0010] The control circuit is connected with the detection circuit and is used for optimizing and real-time transmitting the data obtained by the detection circuit.

[0011] The output interface is connected with the control circuit and is used for transmitting the data optimized by the control circuit to a computer.

[0012] The electromagnetic array is composed of n*n electromagnetic probes to form a planar matrix electromagnetic probe, and each excitation coil in the transverse direction is connected in series, and each excitation coil in the adjacent column is connected in parallel.

[0013] The electromagnetic array is composed of n electromagnetic probes to form a linear array electromagnetic probe, and each excitation coil is connected in series.

[0014] The excitation circuit includes an excitation circuit control interface, a DDS frequency synthesizer, a hysteresis comparator, a Howland current source circuit, an excitation circuit output interface connected in sequence, and the hysteresis comparator is further connected with a reference signal output interface, and the excitation circuit output interface is connected with the excitation coil.

[0015] The detection circuit includes a detection circuit input interface, an instrument amplification circuit, a low-pass filter circuit, a phase-sensitive detection circuit and a detection circuit output interface connected in sequence, and the phase-sensitive detection circuit is further connected with a phase shift circuit, and the other end of the phase shift circuit is connected with a reference signal input interface, and the detection circuit input interface is connected with the electromagnetic sensor, and the reference signal input interface is connected with the reference signal output interface.

[0016] The control circuit includes a detection signal input interface, a microcontroller, a DDS control signal output interface connected in sequence, and the microcontroller is provided with a DDS controller, an analog-to-digital converter, a feature extractor and a neural network processor, and the analog-to-digital converter, the feature extractor and the neural network processor are connected in sequence, and the neural network processor is further connected with a controller output interface, and the controller output interface is connected with the output interface, and the detection signal input interface is connected with the analog-to-digital converter, and the DDS controller is connected with the DDS control signal output interface, and the DDS control signal output interface is connected with the excitation circuit control interface, and the detection signal input interface is connected with the detection circuit output interface.

[0017] The electromagnetic sensor is provided with one, and one electromagnetic sensor is arranged at the bottom center of the non-magnetic skeleton.

[0018] The two electromagnetic sensors are arranged on the axis center line in the non-magnetic framework, and the two electromagnetic sensors are fixedly connected with the inner wall of the non-magnetic framework.

[0019] The two electromagnetic sensors are arranged on the axis center line in the non-magnetic framework, and the two electromagnetic sensors are fixedly connected with the inner wall of the non-magnetic framework.

[0020] The beneficial effects of the present application are:

[0021] The tire nail monitoring device based on the electromagnetic sensor array disclosed in the present application comprises a non-magnetic framework, a plurality of electromagnetic probes arranged in the non-magnetic framework, an excitation circuit, a detection circuit and a control circuit. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 Fig. 1 is a structural schematic diagram of the tire nail monitoring device based on the electromagnetic sensor array of the present application;

[0023] Figure 2 Fig. 2 is a structural schematic diagram of the linearly arranged electromagnetic probe array of the present application;

[0024] Figure 3 Fig. 3 is a structural schematic diagram of the planar matrix electromagnetic probe array of the present application;

[0025] Figure 4 Fig. 4 is a structural schematic diagram of the single-component mode electromagnetic probe of the present application;

[0026] Figure 5 Fig. 5 is a structural schematic diagram of the axial gradient mode electromagnetic probe of the present application;

[0027] Figure 6 Fig. 6 is a structural schematic diagram of the radial gradient mode electromagnetic probe of the present application;

[0028] Figure 7 Fig. 7 is a structural schematic diagram of the excitation circuit of the present application;

[0029] Figure 8 Fig. 8 is a structural schematic diagram of the detection circuit of the present application;

[0030] Figure 9is a structural schematic diagram of the control circuit of the application;

[0031] Figure 10a is a magnetic induction intensity distribution map of the defective place in the simulation experiment;

[0032] Figure 10b is a magnetic induction intensity distribution map of the non-defective place in the simulation experiment.

[0033] In the figure, 1. electromagnetic array, 2. excitation circuit, 3. detection circuit, 4. control circuit, 5. output interface, 11. linearly arranged electromagnetic probe, 12. planar matrix electromagnetic probe, 101. electromagnetic probe, 1011. non-magnetic skeleton, 1012. excitation coil, 1013. electromagnetic sensor, 21. excitation circuit control interface, 22. DDS frequency synthesizer, 23. hysteresis comparator, 24. Howland current source circuit, 25. excitation circuit output interface, 26. reference signal output interface, 31. detection circuit input interface, 32. instrument amplification circuit, 33. low-pass filter circuit, 34. phase-sensitive detection circuit, 35. reference signal input interface, 36. phase-shifting circuit, 37. detection circuit output interface, 41. microcontroller, 42. DDS control signal output interface, 43. detection signal input interface, 44. controller output interface, 411. DDS controller, 412. analog-to-digital converter, 413. feature extractor, 414. neural network processor. DETAILED DESCRIPTION

[0034] The application will be described in detail below in combination with the drawings and specific embodiments. The following examples are only used to more clearly illustrate the technical solutions of the application, and cannot be used to limit the protection solutions of the application.

[0035] Example 1

[0036] The application discloses a tire nail monitoring device based on an electromagnetic sensor array, like Figure 1As shown, it comprises an electromagnetic array 1, an excitation circuit 2, a detection circuit 3, a control circuit 4 and an output interface 5, wherein the electromagnetic array 1 comprises a plurality of electromagnetic probes 101, the electromagnetic probe 101 comprises a tubular non-magnetic skeleton 1011, an excitation coil 1012 is wound on the outer ring of the non-magnetic skeleton 1011, the excitation coil 1012 generates eddy current and forms magnetic field eddy current when close to the tire, and further comprises an electromagnetic sensor 1013 arranged inside the non-magnetic skeleton 1011, the electromagnetic sensor 1013 is used for detecting the magnetic field distribution formed by the excitation coil 1012; the excitation circuit 2 is connected with the excitation coil 1012 and is used for supplying power to the excitation coil 1012; the detection circuit 3 is connected with the electromagnetic sensor 1013 and is used for digitizing the magnetic field information generated by the electromagnetic sensor 1013, the detection circuit 3 is further connected with the excitation circuit 2, and the excitation circuit 2 is used for supplying power to the detection circuit 3; the control circuit 4 is connected with the detection circuit 3 and is used for optimizing and real-time transmitting the data obtained by the detection circuit 3, the control circuit 4 is further connected with the excitation circuit 2, and the excitation circuit 2 is used for supplying power to the control circuit 4; and the output interface 5 is connected with the control circuit 4 and is used for transmitting the data optimized by the control circuit 4 to a computer.

[0037] As shown in Figure 7 Further, the excitation circuit 2 comprises an excitation circuit control interface 21, a DDS frequency synthesizer 22, a hysteresis comparator 23, a Howland current source circuit 24 and an excitation circuit output interface 25 connected in sequence, and the hysteresis comparator 23 is further connected with a reference signal output interface 26, and the excitation circuit output interface 25 is connected with the excitation coil 1012 and can provide a voltage excitation signal for the excitation coil.

[0038] As shown in Figure 8 The detection circuit 3 comprises a detection circuit input interface 31, an instrument amplification circuit 32, a low-pass filter circuit 33, a phase-sensitive detection circuit 34 and a detection circuit output interface 37 connected in sequence, the phase-sensitive detection circuit 34 is further connected with a phase-shifting circuit 36, the other end of the phase-shifting circuit 36 is connected with a reference signal input interface 35, the detection circuit input interface 31 is connected with the electromagnetic sensor 1013, the reference signal input interface 35 is connected with the reference signal output interface 26, the electromagnetic sensor can detect the magnetic field, and the detection circuit is connected with the electromagnetic sensor and the excitation circuit and digitizes the magnetic field information collected by the electromagnetic sensor.

[0039] As shown in Figure 9As shown, the control circuit 4 comprises a detection signal input interface 43, a microcontroller 41, a DDS control signal output interface 42 connected in sequence, the microcontroller 41 is provided with a DDS controller 411, an analog-to-digital converter 412, a feature extractor 413 and a neural network processor 414 connected in sequence, the neural network processor 414 is further connected with a controller output interface 44 connected with the output interface 5, so as to realize real-time transmission of tire monitoring data; the detection signal input interface 43 is connected with the analog-to-digital converter 412 to realize digitization of the detection signal; the DS controller 411 is connected with the DDS control signal output interface 42, the DDS control signal output interface 42 is connected with the excitation circuit control interface 21, the control of the DDS frequency synthesizer 22 in the excitation circuit 2 is realized, so that the output waveform of the excitation circuit 2 is variable in frequency, and the output form of the excitation circuit can be sine wave, pulse square wave and triangular wave and the like; the detection signal input interface 43 is connected with the detection circuit output interface 37; the control circuit is connected with the excitation circuit and the detection circuit respectively, and the monitoring data of the tire is optimized and transmitted in real time.

[0040] Further, the BP neural network optimized by the algorithm can make the tire monitoring device have intelligent classification processing capability, avoid the BP neural network from falling into local minimum value through the global optimization capability of the genetic algorithm, obtain the initial weight value and threshold value of the optimal BP neural network instead of the original random weight value and threshold value, and improve the convergence speed of the BP neural network, and further improve the detection accuracy. Therefore, the tire nail intelligent monitoring device in the application meets various needs of tire health monitoring, is expected to be popularized in various vehicles, greatly improves the accuracy and real-time performance of tire health monitoring, reduces the probability of traffic accidents caused by tire failure, and has obvious economic value and social value.

[0041] In summary, the tire nail monitoring device based on the electromagnetic sensor array disclosed in the application realizes nail eddy current magnetic field anomaly detection based on an electromagnetic sensor, and can realize real-time, non-contact and strong anti-interference tire nail monitoring. Specifically, when the excitation coil is close to the conductive material, an electric eddy current is generated in the conductive material, the size, phase and flow of the induced electric eddy current are affected by the characteristics (such as magnetic permeability and electrical conductivity) of the conductor material itself and defects, at the same time, the induced electric eddy current also forms an eddy current magnetic field, that is, a secondary magnetic field, which affects the distribution of the primary magnetic field. The defects in the conductive material hinder the flow of the eddy current, and thus affect the distribution of the entire magnetic field. Observing the collected magnetic map, the defects affect the distribution of the eddy current, and the sample eddy current density at the center of the coil is relatively high, but when defects exist in the sample, the eddy current flows around the defect part, resulting in a very low eddy current density at the center, which affects the distribution of the magnetic field in space. Therefore, the distribution of the magnetic field is detected by the magnetic sensor, and the defect information of the material can be obtained, and the defects can be detected and evaluated.

[0042] Embodiment 2

[0043] Further, based on the embodiment 1, as shown in Figures 2-3 , the probe containing the excitation coil 1012, the non-magnetic skeleton 1011 and the electromagnetic sensor 1013 can be set as a planar matrix electromagnetic probe or a linear arrangement electromagnetic probe according to the use requirement.

[0044] The planar matrix electromagnetic probe is composed of n*n electromagnetic probes 101, the excitation coils 1012 in the transverse direction are connected in series, and the excitation coils 1012 in adjacent columns are connected in parallel. The linear arrangement electromagnetic probe is composed of n electromagnetic probes 101, and the excitation coils 1012 are connected in series. If the detection area is small, the linear arrangement can be used, and if the detection area is large, the planar matrix can be used to save time.

[0045] Further, the electromagnetic probe 101 can be set as a single component mode, an axial gradient mode and a radial gradient mode; but the component mode is as shown in Figure 4 , a single electromagnetic sensor 1013 is arranged at the bottom of the axial center line inside the non-magnetic skeleton 1011, that is, at the bottom center of the non-magnetic skeleton 1011; the axial gradient mode is as shown in Figure 5 , two electromagnetic sensors 1013 are arranged on the axial center line inside the non-magnetic skeleton 1011, and are fixedly connected with the inner wall of the non-magnetic skeleton 1011 by pasting; and the radial gradient mode is as shown in Figure 6As shown, two electromagnetic sensors 1013 are symmetrically arranged on the left and right sides of the bottom of the shaft center line inside the non-magnetic skeleton 1011. A plurality of single-component mode probes are arranged as required to form an electromagnetic array 1. The magnetic anomaly analysis is performed on the magnetic map formed by the output of the magnetic signals detected by the electromagnetic sensors 1013 of each single-component mode probe in the electromagnetic array 1, so as to determine whether the tire is punctured. The axial gradient mode probe based on the single-component mode probe can identify the axial length or range of the abnormal puncture according to the spatial gradient of the magnetic field output by the two electromagnetic sensors 1013 of the shaft center line. The radial gradient mode probe based on the single-component mode probe, i.e., the time gradient of the output magnetic field, can identify the radial length or range of the abnormal puncture.

[0046] Preferably, the electromagnetic probe 101 is arranged as an axial mode, and the electromagnetic sensor 1013 is selected as a TMR sensor for magnetic field detection.

[0047] Embodiment 3

[0048] Further, on the basis of embodiment 2, the electromagnetic probe 101 is arranged as a single-component mode, and the electromagnetic sensor 1013 is selected as a hollow coil for magnetic field detection.

[0049] Figure 10a The magnetic induction intensity distribution map of the defect in the simulation experiment is shown in Table 1. Figure 10b The magnetic induction intensity distribution map of the defect in the simulation experiment is shown in Table 1. When the probe moves from the intact tire to the defect, the magnetic induction intensity at the bottom of the shaft changes in the range of about 1-2x10 -3 T, it can be seen that the magnetic induction intensity at the defect is affected by the secondary magnetic field, and the magnetic induction intensity decreases.

[0050] The above-described embodiments are only preferred specific embodiments of the present application, and the protection scope of the present application is not limited thereto. Any simple change or equivalent replacement of the technical solutions within the technical range disclosed in the present application can be obtained by those skilled in the art, and all of them belong to the protection scope of the present application.

Claims

1. A tire puncture detection device based on an electromagnetic sensor array, characterized in that, include: The electromagnetic array (1) includes multiple electromagnetic probes (101). Each electromagnetic probe (101) includes a tubular non-magnetic frame (1011). An excitation coil (1012) is wound around the outer ring of the non-magnetic frame (1011). When the excitation coil (1012) is close to the tire, it generates electric eddy currents and forms magnetic field eddy currents. The array also includes an electromagnetic sensor (1013) disposed inside the non-magnetic frame (1011). The electromagnetic sensor (1013) is used to detect the magnetic field distribution formed by the excitation coil (1012). The excitation circuit (2) is connected to the excitation coil (1012) and is used to supply power to the excitation coil (1012). The excitation circuit (2) includes an excitation circuit control interface (21), a DDS frequency synthesizer (22), a hysteresis comparator (23), a Howland current source circuit (24), and an excitation circuit output interface (25) connected in sequence. The hysteresis comparator (23) is also connected to a reference signal output interface (26). The excitation circuit output interface (25) is connected to the excitation coil (1012). The detection circuit (3) is connected to the electromagnetic sensor (1013) and is used to digitize the magnetic field information generated by the electromagnetic sensor (1013). The detection circuit (3) is also connected to the excitation circuit (2). The excitation circuit (2) is used to power the detection circuit (3). The detection circuit (3) includes a detection circuit input interface (31), an instrumentation amplifier circuit (32), a low-pass filter circuit (33), a phase-sensitive detector circuit (34), and a detection circuit output interface (37) connected in sequence. A phase-sensitive detector circuit (34) is also connected to a phase-shifting circuit (36). The other end of the phase-shifting circuit (36) is connected to a reference signal input interface (35). The detection circuit input interface (31) is connected to the electromagnetic sensor (1013), and the reference signal input interface (35) is connected to the reference signal output interface (26). A control circuit (4) is connected to the detection circuit (3) and is used to optimize and transmit the data obtained by the detection circuit (3) in real time. The control circuit (4) is also connected to an excitation circuit (2), which is used to power the control circuit (4). The control circuit (4) includes a detection signal input interface (43), a microcontroller (41), and a DDS control signal output interface (42) connected in sequence. The microcontroller (41) is equipped with a DDS controller (411), an analog-to-digital converter (412), a feature extractor (413), and a neural network processor (414). A digital-to-digital converter (412), a feature extractor (413), and a neural network processor (414) are connected in sequence. The neural network processor (414) is also connected to a controller output interface (44). The controller output interface (44) is connected to the output interface (5). The detection signal input interface (43) is connected to the analog-to-digital converter (412). The DDS controller (411) is connected to the DDS control signal output interface (42). The DDS control signal output interface (42) is connected to the excitation circuit control interface (21). The detection signal input interface (43) is connected to the detection circuit output interface (37). The output interface (5) is connected to the control circuit (4) and is used to transmit the data optimized by the control circuit (4) to the computer.

2. The tire puncture detection device based on an electromagnetic sensor array according to claim 1, characterized in that, The electromagnetic array (1) consists of n×n electromagnetic probes (101) forming a planar matrix electromagnetic probe (12). The excitation coils (1012) in the horizontal direction are connected in series, and the excitation coils (1012) in adjacent columns are connected in parallel.

3. The tire puncture detection device based on an electromagnetic sensor array according to claim 1, characterized in that, The electromagnetic array (1) consists of n electromagnetic probes (101) arranged in a linear array, and each excitation coil (1012) is connected in series.

4. A tire puncture detection device based on an electromagnetic sensor array according to claim 1, characterized in that, One electromagnetic sensor (1013) is provided, and one electromagnetic sensor (1013) is provided at the bottom center of the non-magnetic frame (1011).

5. A tire puncture detection device based on an electromagnetic sensor array according to claim 1, characterized in that, Two electromagnetic sensors (1013) are provided. The two electromagnetic sensors (1013) are located on the center line of the internal axis of the non-magnetic frame (1011). Both electromagnetic sensors (1013) are fixedly connected to the inner wall of the non-magnetic frame (1011).

6. The tire puncture detection device based on an electromagnetic sensor array according to claim 1, characterized in that, Two electromagnetic sensors (1013) are provided, and the two electromagnetic sensors (1013) are located on both sides of the bottom of the non-magnetic frame (1011). The two electromagnetic sensors (1013) are symmetrically arranged about the axis of the non-magnetic frame (1011).

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