Remote control automatic detection device and system for rail irregularities

Abstract

The present application relates to a kind of steel rail irregularity remote control automatic detection device and system, the device includes: frame, sliding connection in the steel rail;Driving unit, the frame is driven and slides on the steel rail along the length direction of the steel rail;Data collection unit is installed on the frame near the side of the steel rail, and the data collection unit is used to collect the deformation data of the steel rail.The present application is simplified by the above arrangement The entire detection process ensures the accuracy, efficiency and consistency of detection data, has lower professional requirements, has smaller technical difficulty, has low manufacturing and maintenance cost, and is convenient for popularization and application.

Description

Remote-controlled automatic detection device and system for rail irregularities Technical Field

[0001] This invention relates to the field of rail transit inspection technology, and in particular to a remote-controlled automatic detection device and system for rail irregularities. Background Technology

[0002] Rail transit is one of the most important modes of transportation in my country. High-speed rail and subways, for example, carry countless people on their daily journeys, so their safety is of utmost importance.

[0003] The track is the foundation for train operation, and its condition directly affects the safety of train operation. If the track malfunctions, such as broken rails or severe wear causing unevenness, trains traveling at high speeds are prone to derailment and other accidents. For example, even a small deviation in track geometry can generate a huge impact force when a train is running at high speed, potentially damaging vehicle components and endangering passenger lives.

[0004] Good track conditions ensure smooth train operation. Smooth tracks reduce train vibration and noise, providing a comfortable travel environment for passengers. They also help protect critical components such as the running gear, reducing wear and fatigue damage and extending the train's lifespan. Regular track maintenance allows for the timely detection and resolution of track problems, reducing train delays or cancellations caused by track faults. For urban public transportation like subways, efficient operation is crucial; for high-speed rail, it ensures trains run accurately according to schedules, thereby improving the overall transportation efficiency of the rail transit system.

[0005] The wheelsets of a train are the components that come into direct contact with the rails. When a train is running, the wheelsets roll on the rails, and due to the train's immense weight, this exerts tremendous pressure on the rails. Under this prolonged pressure, friction occurs between the wheels and rails, leading to wear on the rail surface. For example, in station areas where trains frequently start and brake, the friction between the wheels and rails increases due to acceleration and deceleration, making rail wear more pronounced. Harsh natural environments also cause track wear. For instance, in humid environments, the rail surface is prone to rust, and rust alters the coefficient of friction between the rails, accelerating wear. In areas with high winds and sandstorms, particles in the sand can become trapped between the wheels and rails, acting as abrasives and wearing down the rail surface like sandpaper.

[0006] Of course, there are many other reasons not mentioned that can also cause and exacerbate track wear, which can seriously jeopardize train safety. Therefore, regular track inspections are essential.

[0007] In routine inspections, the use of feeler gauges and calipers is a common practice. For example, during nighttime inspections after the rails have stopped operating, subway track maintenance personnel use feeler gauges to measure the wear gaps on the top and sides of the tracks, areas prone to wear. By comparing these measurements with pre-set standard values, they can quickly determine whether the wear exceeds the allowable range. Calipers, on the other hand, can precisely measure the thickness changes at specific points on the rail to assess the degree of wear. However, this method is inefficient, prone to omissions, has a complex process, and its accuracy cannot be guaranteed.

[0008] With technological advancements, machine vision inspection methods are gaining increasing importance for track wear detection over long distances. Some subway or high-speed rail operators regularly deploy track inspection vehicles, equipped with high-speed cameras or line scan cameras, to acquire images of the rail surfaces during operation. For example, in regular high-speed rail track inspection programs, machine vision systems can quickly scan large amounts of rail surfaces and analyze the images using automatic image processing algorithms to accurately detect wear, including minute defects. However, this method is costly, requires specialized expertise, and is technically challenging, making widespread application difficult. Summary of the Invention

[0009] To address the aforementioned shortcomings, this invention proposes a remote-controlled automatic detection device and system for rail irregularities.

[0010] The technical solution adopted in this invention is a remote-controlled automatic detection device for rail irregularities, comprising: a frame slidably connected to the rail; a drive unit that drives the frame to slide along the length of the rail; and a data collection unit installed on the frame near the rail, the data collection unit being used to collect deformation data of the rail.

[0011] Preferably, the frame includes: a housing; a pair of elastic components symmetrically arranged on both sides of the bottom of the housing, the frame being clamped on the rail under the elastic force of the pair of elastic components; and a plurality of pulleys symmetrically arranged on the pair of elastic components, the frame sliding along the length of the rail via the pulleys, and the driving unit driving at least one of the pulleys.

[0012] Preferably, each of the elastic components includes a pair of spring pieces, and the four spring pieces are respectively disposed at the four corners of the bottom surface of the housing. Each spring piece is provided with a pair of pulleys along the length direction of the rail.

[0013] Preferably, the data collection unit includes a displacement sensor, and the frame positions the displacement sensor on the top surface and / or side surface of the rail.

[0014] Preferably, the data collection unit includes at least two displacement sensors, which are disposed on the same side of the rail, and each displacement sensor is disposed between a pair of pulleys on a spring sheet.

[0015] Preferably, the data collection unit includes at least three displacement sensors, which are arranged on the top surface of the rail along the length of the rail.

[0016] Preferably, the data collection unit further includes a switch connected to the displacement sensor signal, and the switch is disposed within the housing.

[0017] Preferably, the data collection unit includes a pressure sensor, and the frame pre-presses the detection end of the pressure sensor onto the surface of the rail.

[0018] Preferably, multiple pressure sensors are provided; the pressure sensors are disposed on at least one side of the rail, and the elastic component pre-presses the detection end of the pressure sensor onto the surface of the rail, and / or

[0019] The pressure sensor is disposed on the top surface of the rail, and the housing pre-presses the detection end of the pressure sensor onto the surface of the rail.

[0020] The present invention also proposes a remote-controlled automatic detection system for rail irregularities, comprising a data processing module connected in pairs, a cloud data storage module, and the aforementioned automatic detection device. The data processing module is used to process the data transmitted by the automatic detection device, and the cloud data storage module is used to back up the data transmitted by the data processing module and the automatic detection device.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. The rail irregularity remote-controlled automatic detection device of the present invention can operate automatically without the need for manual measurement of various parts of the rail, thus reducing manual operation. The drive unit can drive the monitoring device to slide at a uniform speed on the rail, ensuring the accuracy, efficiency and consistency of the detection data. The automated and precise structural design simplifies the entire detection process and can collect a large amount of reliable data in real time, providing an accurate basis for subsequent maintenance decisions.

[0023] 2. Compared to using expensive high-speed cameras and line scan cameras to obtain information on rail wear, the rail irregularity remote-controlled automatic detection device of this invention relies on conventional sensors (such as displacement sensors) to collect rail deformation data, thus resulting in lower manufacturing and maintenance costs. It does not require complex image processing technology, and compared to machine vision systems, this device has lower professional requirements and less technical difficulty, making it easier to promote and apply.

[0024] 3. Multiple displacement sensors are respectively installed on the side and top surfaces of the rail, enabling multi-directional detection of the rail, eliminating blind spots, and improving the comprehensiveness and accuracy of the data. Compared with traditional manual inspection methods (such as feeler gauges and calipers), the automatic inspection device in this invention has the advantages of high efficiency and no omissions. Workers do not need to manually measure point by point; they can simply slide the device along the rail to obtain detailed inspection data for the entire rail section, greatly reducing inspection time and manpower input, minimizing deviations introduced by human operation, and ensuring the reliability and consistency of the inspection data. Attached Figure Description

[0025] The present invention will now be described in detail with reference to the embodiments and accompanying drawings, wherein:

[0026] Figure 1 is a schematic diagram of the remote-controlled automatic detection device for rail irregularities.

[0027] Figure 2 is a schematic diagram of the remote-controlled automatic detection device for rail irregularities connected to the rail.

[0028] Figure 3 is a schematic diagram of the data processing module.

[0029] 10. Housing; 20. Elastic component; 30. Pulley; 40. Displacement sensor; 50. Data processing module; 60. Rail. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar components or components having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0031] In one embodiment, a remote-controlled automatic detection device for rail irregularities includes a frame, a drive unit, and a data collection unit.

[0032] The frame is slidably connected to the rail 60. The frame supports the drive unit, data collection unit, and other components of the device, enabling them to move smoothly along the rail 60 and ensuring their stable operation. The drive unit is the power source for the automatic detection device, driving the frame to slide along the length of the rail 60. The data collection unit is mounted on the frame near the rail 60 and is used to collect deformation data of the rail 60. The data collection unit can be a conventional sensor, such as a displacement sensor 40 or a pressure sensor. The drive unit may include a motor and other transmission components.

[0033] When in use, the drive unit starts and drives the frame to slide along the length of the rail 60. Driven by the frame, the data collection unit collects deformation data of the surface of the rail 60 in real time. Based on this deformation data, the wear condition of the rail 60 can be accurately assessed.

[0034] The remote-controlled automatic rail irregularity detection device in this embodiment can operate automatically, eliminating the need for manual measurement of various parts of the rail 60, thus reducing manual operation. The drive unit can drive the monitoring device to slide at a uniform speed on the rail 60, ensuring the accuracy, efficiency, and consistency of the detection data. The automated and precise structural design simplifies the entire detection process and can collect a large amount of reliable data in real time, providing an accurate basis for subsequent maintenance decisions. In addition, compared with using expensive high-speed cameras or line scan cameras to obtain the wear condition of the rail 60, the remote-controlled automatic rail irregularity detection device in this embodiment relies on conventional sensors (such as displacement sensor 40) to collect the deformation data of the rail 60, thus reducing manufacturing and maintenance costs. It does not require complex image processing technology, and compared with machine vision systems, this device has lower professional requirements and less technical difficulty, making it easier to promote and apply.

[0035] In one embodiment, as shown in Figures 1-2, the frame includes a housing 10, a pair of elastic components 20, and a plurality of pulleys 30. The housing 10 is the main structure of the entire frame. Other components, such as precision components like switches, can be installed inside the housing 10, ensuring that these precision components are not affected by external environmental factors such as dust and moisture during operation. The housing 10 can be made of robust and durable materials such as aluminum alloy, stainless steel, or high-strength composite materials.

[0036] A pair of elastic components 20 are symmetrically arranged on both sides of the bottom of the housing 10. When the device is placed on the rail 60, the elastic components 20 clamp the rail 60 with a certain elastic pressure, thus the frame is clamped on the rail 60 under the elastic force of the pair of elastic components 20. Because the elastic components 20 have a certain elastic force, they can automatically adapt to slight changes in different rails 60 and different positions of the same rail 60, ensuring that the device always maintains stable contact with the rail 60. The elastic components 20 can be made of materials that have both good elasticity and the ability to maintain deformation for a long time, such as high-strength spring steel, polyurethane elastomer, or rubber.

[0037] The frame slides along the length of the rail 60 via pulleys 30. Multiple pulleys 30 are symmetrically arranged on a pair of elastic components 20 to ensure the device can slide smoothly along the length of the rail 60. The number of pulleys 30 can be 4, 6, or 8, etc., symmetrically arranged in pairs on both sides of the rail 60 to ensure smooth sliding of the device on the rail 60. The drive unit drives at least one pulley 30, pushing the detection device to move along the length of the rail 60.

[0038] The structural design in this embodiment enables the detection device to operate stably and smoothly on the rail 60, achieving automated wear detection while maintaining good data acquisition accuracy during movement.

[0039] In one embodiment, each elastic component 20 includes a pair of spring plates. The elastic force of the spring plates ensures that the pulley 30 is in close contact with the surface of the rail 60, reducing offset or wobbling during sliding. Four spring plates are respectively disposed at the four corners of the bottom surface of the housing 10. This arrangement allows the elastic force to be evenly distributed across the four support points of the device, ensuring stable clamping and sliding of the device on the rail 60. Each spring plate has a pair of pulleys 30 arranged along the length of the rail 60. The pair of pulleys 30 on each spring plate forms a front-to-back pairing arrangement. This arrangement ensures that the device maintains stable linear sliding on the rail 60, enabling the detection device to automatically slide in different track environments while ensuring the accuracy and stability of data acquisition. Specifically, one end of the spring plate is connected to the housing 10, and the other end extends horizontally inward to form a mounting portion. The fixed shaft in the middle of the pulley 30 is fixed to the mounting portion, and the wheel body of the pulley 30 is rotatably connected to the fixed shaft, with the outer surface of the wheel body abutting against the rail 60.

[0040] In one embodiment, the data collection unit includes a displacement sensor 40. The frame positions the displacement sensor 40 on the side of the rail 60. Measurements by the displacement sensor 40 accurately measure the unevenness, wear depth, and deformation degree of the side of the rail 60. In other embodiments, the frame can also position the displacement sensor 40 on the top surface of the rail 60. Measurements by the displacement sensor 40 allow for real-time changes in the shape of the top surface of the rail 60. In other embodiments, the frame can also position multiple displacement sensors 40 on the side and top surfaces of the rail 60 respectively, enabling multi-directional detection of the rail 60, eliminating blind spots, and improving the comprehensiveness and accuracy of the data. Compared to traditional manual inspection methods (such as feeler gauges and calipers), the automatic inspection device in this embodiment has the advantages of high efficiency and completeness. Workers do not need to manually measure point by point; they can simply slide the device along the rail 60 to obtain detailed inspection data for the entire section of the rail 60, greatly reducing inspection time and manpower input, minimizing deviations introduced by human operation, and ensuring the reliability and consistency of the inspection data.

[0041] The displacement sensor 40 can be either a contact or non-contact sensor. A contact sensor directly contacts the surface of the rail 60 via a probe or roller. The sensor detects the displacement change of the probe or roller, converts it into an electrical signal, and transmits it to the data processing system. The contact sensor can be an inductive or capacitive displacement sensor, etc. A non-contact sensor, such as a laser displacement sensor 40, calculates its distance from the rail 60 surface by emitting a laser beam and measuring its reflection time or distance change. It does not have physical contact with the rail 60 surface and is more suitable for applications requiring high detection accuracy and high measurement speed.

[0042] In one embodiment, an encoder or pedometer can also be installed on the frame. The encoder or pedometer can be connected to the pulley 30 or drive unit of the device. As the detection device slides on the rail 60, the encoder or pedometer will generate pulse signals. The pulse signals are equivalent to a triggering mechanism, which can trigger the sensors on the device to collect data, ensuring the automation of data collection without manual intervention and improving detection efficiency.

[0043] In one embodiment, the data collection unit includes at least two displacement sensors 40, which are positioned on the same side of the rail 60, reducing the measurement error of a single sensor. By cooperating with the two displacement sensors 40, the wear information of the rail 60 can be effectively measured using the chordal method. The two sensors serve as reference points to determine the ideal chord line, and by comparing the deviation of the actual displacement data from the chord line, the irregularities and wear conditions on the side of the rail 60 are identified, improving detection accuracy, reducing measurement errors, and supporting continuous and automated detection of long sections of rail, demonstrating significant practicality and accuracy.

[0044] Each displacement sensor 40 is positioned between a pair of pulleys 30 on a spring sheet. The pulleys 30 guide the device to run smoothly, preventing the sensor from colliding with other objects and effectively extending the sensor's service life.

[0045] In one embodiment, the data collection unit includes at least three displacement sensors 40, which are arranged along the length of the rail 60 on its top surface for accurate detection of wear, corrugation, and unevenness on the top surface of the rail 60. The three sensors can verify each other, effectively reducing errors caused by abnormal readings from any single sensor. This ensures sufficient detection accuracy without increasing complexity or cost due to an excessive number of sensors.

[0046] In one embodiment, the data collection unit further includes a switch connected to the displacement sensor 40. The switch centrally manages, summarizes, and processes the data collected by multiple displacement sensors 40, and finally transmits it to an external computer system or other processing device through a data interface for subsequent analysis and judgment. The switch effectively improves the efficiency and accuracy of data transmission, while simplifying the data processing flow of each sensor. The integrated design also further reduces the maintenance cost of the equipment. The switch is housed within the housing 10, which protects the internal electronic components from damage caused by external environmental factors such as dust, moisture, and vibration, ensuring stable operation of the detection equipment in harsh environments.

[0047] In one embodiment, the data collection unit includes a pressure sensor, and the frame pre-presses the detection end of the pressure sensor onto the surface of the rail 60. The frame provides a preset pressure to press the pressure sensor firmly onto the rail 60. When wear occurs on the rail 60, the size of the rail 60 decreases, and the contact pressure between the pressure sensor and the surface of the rail 60 also decreases. By statistically analyzing the force changes of the pressure sensor, the wear data of the rail 60 can be calculated, achieving real-time, accurate, and automated wear detection of the rail 60. This significantly improves detection efficiency and reduces manual intervention, providing a more reliable technical means for the safe operation and maintenance of the rail 60. The preset pressure can be provided by a spring device, screw adjustment mechanism, or elastic component 20 within the frame. The pressure sensor can be a strain gauge pressure sensor or a piezoelectric pressure sensor.

[0048] In one embodiment, multiple pressure sensors are provided, and the pressure sensors are disposed on at least one side of the rail 60. The elastic component 20 pre-presses the detection end of the pressure sensor onto the surface of the rail 60. Multiple pressure sensors can be disposed at different heights on the side of the rail 60, thereby enabling simultaneous monitoring of multiple measuring points, providing a comprehensive understanding of the wear condition of the rail 60's side, avoiding data omissions that may occur with single-point monitoring, and improving the robustness of the entire system. Furthermore, the pressure sensor can also be disposed on the top surface of the rail 60, with the housing 10 pre-pressing the detection end of the pressure sensor onto the surface of the rail 60, allowing the detection device to simultaneously monitor both the side and top surfaces of the rail 60, providing more comprehensive wear detection.

[0049] In one embodiment, a remote-controlled automatic detection system for rail irregularities includes a data processing module 50 connected in pairs, a cloud data storage module, and the automatic detection device described in the above embodiment. The automatic detection device collects raw wear data of the rail 60 surface in real time and transmits it to the data processing module 50. The data processing module 50 processes and analyzes the raw wear data in real time, converting it into easily readable analytical results, such as the wear amount, corrugation degree, and deformation trend of the rail 60. The processed data can be directly used to determine the health status of the rail 60 and can also provide a reference for subsequent maintenance. The cloud data storage module is used for cloud backup and storage of the data transmitted from the data processing module 50 and the automatic detection device. This module not only stores processed data but also stores unprocessed raw data, providing a long-term data storage solution. Through the cloud data storage module, data can be easily shared with different devices and systems, facilitating remote monitoring and historical data retrieval.

[0050] In the automatic detection device, after the switch collects the raw data from the sensor, it can transmit the data to the data processing module 50 and the cloud data storage module through the external interface on the housing 10, or it can transmit the data to the data processing module 50 and the cloud data storage module through wireless communication.

[0051] The data processing module 50 can use a self-developed FIR inverse filter (finite impulse response inverse filter) to process the acquired displacement data, remove noise from the data, and restore the original characteristics of the signal. By sampling frequency, device operating speed, and displacement at each point, the relative positions of the side and top surfaces of the rail 60 with respect to the reference coordinate system are obtained, thereby obtaining the length and depth of the corrugation. As shown in Figure 3, the data processing module 50 can be a commonly used laptop computer, industrial computer, etc.

[0052] As the device slides on rail 60, the switch synchronously records the displacement changes of the sensors on the top and side surfaces of rail 60. The detection device is set to slide at a fixed speed, and based on the initial set mileage and sampling frequency, it automatically calculates the mileage corresponding to each point of displacement. When the detection device stops, the collected data is automatically stored in the cloud data storage module, or transmitted to the data processing module 50 for processing via an external interface.

[0053] The remote-controlled automatic rail irregularity detection system in this embodiment integrates an automatic detection device, a data processing module 50, and a cloud data storage module to form a complete rail 60 detection system. The automatic detection device is responsible for real-time data acquisition from the rail 60, the data processing module 50 is responsible for intelligent analysis, and the cloud data storage module ensures data security and remote access. This system not only improves detection efficiency and accuracy but also facilitates remote monitoring and historical trend analysis through cloud backup and data sharing, reduces maintenance costs, and significantly improves the intelligence level of rail 60 detection and maintenance.

[0054] In the description of this specification, the use of terms such as "Embodiment 1," "this embodiment," or "in one embodiment" indicates that the specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example; moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in one or more embodiments or examples.

[0055] In the description of this specification, the terms "connection," "installation," "fixing," "setting," and "having" are interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0056] In the description of this specification, relational terms such as “first” and “second” are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0057] The above description of the embodiments is intended to enable those skilled in the art to understand and apply the technology of this invention. Those skilled in the art can easily make various modifications to these examples and apply the general principles described herein to other embodiments without creative effort. Therefore, this invention is not limited to the above embodiments. Modifications in the following situations should be within the scope of protection of this invention: ① New technical solutions implemented based on the technical solution of this invention and combined with existing common knowledge, where the technical effects of the new technical solution do not exceed the technical effects of this invention; ② Equivalent substitutions of some features of the technical solution of this invention using known technology, resulting in the same technical effects as those of this invention; ③ Extendable technical solutions based on the technical solution of this invention, where the substantive content of the extended technical solution does not exceed the technical solution of this invention; ④ Equivalent transformations made using the content of this specification and drawings, directly or indirectly applied to other related technical fields.

Claims

1. A remote-controlled automatic detection device for rail irregularities, characterized in that, include: A frame that is slidably connected to the rails; A drive unit that drives the frame to slide along the length of the rail on the rail; A data collection unit is installed on the frame near the rail, and is used to collect deformation data of the rail. The frame includes a housing, a pair of elastic components, and multiple pulleys. The pair of elastic components are symmetrically arranged on both sides of the bottom of the housing, and the frame is clamped to the rail under the elastic force of the pair of elastic components. The multiple pulleys are symmetrically arranged on the pair of elastic components, and the frame slides along the length of the rail via the pulleys. The drive unit drives at least one pulley. Each elastic component includes a pair of spring pieces, and four spring pieces are respectively arranged at the four corners of the bottom surface of the housing. Each spring piece has a pair of pulleys arranged along the length of the rail. The data collection unit includes at least two displacement sensors, and two displacement sensors are arranged on the same side of the rail. Each displacement sensor is respectively arranged between a pair of pulleys on a spring piece. Through the cooperation of the two displacement sensors, the wear information of the rail is measured using the chordal method.

2. The remote-controlled automatic detection device for rail irregularities according to claim 1, characterized in that, The data collection unit also includes at least three displacement sensors, which are arranged on the top surface of the rail along the length of the rail.

3. The remote-controlled automatic detection device for rail irregularities according to claim 1, characterized in that, The data collection unit also includes a switch connected to the displacement sensor signal, and the switch is disposed inside the housing.

4. The remote-controlled automatic detection device for rail irregularities according to claim 1, characterized in that, The data collection unit includes a pressure sensor, and the frame pre-presses the detection end of the pressure sensor onto the surface of the rail.

5. The remote-controlled automatic detection device for rail irregularities according to claim 4, characterized in that, Multiple pressure sensors are provided; the pressure sensors are provided on at least one side of the rail, the elastic component pre-presses the detection end of the pressure sensor onto the surface of the rail, and / or the pressure sensor is provided on the top surface of the rail, and the housing pre-presses the detection end of the pressure sensor onto the surface of the rail.

6. A remote-controlled automatic detection system for rail irregularities, characterized in that, The device includes a data processing module with two-way signal connections, a cloud data storage module, and an automatic detection device as described in any one of claims 1-5. The data processing module is used to process the data transmitted by the automatic detection device, and the cloud data storage module is used to back up the data transmitted by the data processing module and the automatic detection device.

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