Remote control automatic detection device and system for irregularity of steel rail

Abstract

The invention relates to a remote-control automatic detection device and system for irregularity of a steel rail, and the device comprises a frame which is connected to the steel rail in a sliding manner; the driving unit drives the frame to slide on the steel rail in the length direction of the steel rail; the data collection unit is installed on the side, close to the steel rail, of the frame, and the data collection unit is used for collecting deformation data of the steel rail. Through the arrangement, the whole detection process is simplified, the accuracy, high efficiency and consistency of detection data are ensured, the professional requirement is low, the technical difficulty is small, the manufacturing and maintenance cost is low, and application and popularization are convenient.

Description

Technical Field

[0001] The present invention relates to the technical field of rail transit detection, and in particular to a remote-controlled automatic detection device and system for rail unevenness. Background Art

[0002] Rail transit is one of the important modes of transportation in my country at present. High-speed railways and subways carry countless people for daily travel, so their safety is very important.

[0003] Tracks are the foundation of train operation, and their status is directly related to the safety of train operation. If there is a fault in the track, such as broken rails, severe wear and tear resulting in uneven track surface, it is easy for trains to derail when running at high speeds. For example, even a small deviation in track geometry can generate huge impact force when the train is running at high speed, which may cause damage to vehicle components and endanger the lives of passengers.

[0004] Good track conditions can ensure smooth train operation. Smooth tracks can reduce vibration and noise of trains, providing passengers with a comfortable riding environment. At the same time, it also helps to protect key components such as the running gear of the train, reduce wear and fatigue damage of components, and extend the service life of the train. Regular track maintenance can timely detect and deal with track problems, and reduce train delays or suspensions caused by track failures. For urban public transportation such as subways, efficient operation is crucial; for high-speed railways, it can also ensure that trains run accurately according to the schedule, thereby improving the transportation efficiency of the entire rail transit system.

[0005] The wheels of a train are parts that are in direct contact with the rails. When the train is running, the wheels roll on the rails. Due to the huge weight of the train, huge pressure will be exerted on the rails. Under this long-term pressure, friction will occur between the wheels and rails, causing wear on the rail surface. For example, in station areas where trains start and brake frequently, the friction between the wheels and rails will increase due to acceleration and deceleration, making the rail wear more obvious. Harsh natural environments can also cause wear on the rails. For example, in a humid environment, the surface of the rails is prone to rust, and the rust will change the friction coefficient between the rails and aggravate wear. In areas with strong winds and sand, particles in the wind and sand will be sandwiched between the wheels and rails, acting as abrasives and wearing the rail surface like sandpaper.

[0006] Of course, there are many other reasons that have not been mentioned, which will also cause and increase the wear of the track, which will seriously endanger the driving safety of the train. Therefore, it is necessary to conduct regular inspections of the track.

[0007] In daily inspections, it is common for workers to use feeler gauges and calipers. For example, during the inspection after the subway track maintenance personnel stopped operation at night, they used feeler gauges to measure the gap after wear on some parts of the top and side of the track that are prone to wear. By comparing with the pre-set standard value, they can quickly determine whether the wear exceeds the allowable range. Calipers can accurately measure the thickness changes of specific parts of the rails to assess the degree of wear. However, this method is inefficient and prone to omissions. The processing process is complicated and the authenticity cannot be guaranteed.

[0008] With the development of technology, machine vision inspection methods are gaining more and more attention for longer mileage track wear detection. Some subway or high-speed rail operators will regularly arrange track inspection vehicles, and the high-speed cameras or linear array cameras on the vehicles will obtain images of the rail surface during the operation of the vehicle. For example, in the regular track inspection plan of high-speed rail, the machine vision system can quickly scan a large number of rail surfaces, analyze the images through automatic image processing algorithms, and accurately detect the wear of the rail surface, including some minor wear. However, this method is costly, has high professional requirements, and is technically difficult, making it difficult to promote and apply. Summary of the invention

[0009] In order to solve the above-mentioned defects, the present invention proposes a remote-controlled automatic detection device and system for rail unevenness.

[0010] The technical solution adopted by the present invention is a remote-controlled automatic detection device for uneven rails, comprising: a frame, which is slidably connected to the rail; a driving unit, which drives the frame to slide on the rail along the length direction of the rail; and a data collection unit, which is installed on the side of the frame close to the rail, and the data collection unit is used to collect deformation data of the rail.

[0011] Preferably, the frame includes: a shell; a pair of elastic components symmetrically arranged on both sides of the bottom of the shell, and the frame is clamped on the rail under the elastic force of the pair of elastic components; a plurality of pulleys symmetrically arranged on the pair of elastic components, and the frame slides along the length direction of the rail through the pulleys, and the driving unit drives at least one of the pulleys.

[0012] Preferably, each of the elastic components includes a pair of spring plates, and the four spring plates are respectively arranged at four corners of the bottom surface of the shell, and each of the spring plates is provided with a pair of pulleys along the length direction of the rail.

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

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

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

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

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

[0018] Preferably, the pressure sensor is provided in plurality; the pressure sensor is provided on at least one side of the rail, the elastic component pre-presses the detection end of the pressure sensor on the surface of the rail, and / or

[0019] The pressure sensor is arranged on the top surface of the rail, and the shell 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 unevenness, comprising a data processing module connected in pairs with signals, a cloud data storage module, and the above-mentioned automatic detection device, wherein 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 remote control automatic detection device for rail unevenness in the present invention can be operated automatically, without manual measurement of various parts of the rail, reducing manual operation. The driving unit can drive the monitoring device to slide on the rail at a uniform speed, 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 with using expensive high-speed cameras, linear array cameras, etc. to obtain the wear condition of rails, the remote control automatic detection device for rail unevenness in the present invention relies on conventional sensors (such as displacement sensors) to collect rail deformation data, so the manufacturing and maintenance costs are lower; no complex image processing technology is required. Compared with machine vision systems, the device has lower professional requirements and less technical difficulty, and is easy to promote and apply;

[0024] 3. Multiple displacement sensors are respectively arranged on the side and top of the rail, which can realize multi-directional detection of the rail, eliminate detection blind spots, and improve the comprehensiveness and accuracy of the data. Compared with traditional manual detection methods (such as feeler gauges and calipers), the automatic detection device in the present invention has the advantages of high efficiency and no omissions. The staff does not need to measure manually point by point, but only needs to slide the device along the rail to obtain detailed detection data of the entire section of the rail, which greatly reduces the detection time and manpower investment, reduces the deviation introduced by human operation, and ensures the reliability and consistency of the detection data. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0026] Figure 1 It is a structural diagram of a remote-controlled automatic detection device for rail unevenness;

[0027] Figure 2 It is a schematic diagram of the remote control automatic detection device for rail unevenness connected to the rail;

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

[0029] 10. Shell; 20. Elastic component; 30. Pulley; 40. Displacement sensor; 50. Data processing module; 60. Rail. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical scheme and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar components or components with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

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

[0032] The frame is slidably connected to the rail 60. The frame is used to support the drive unit, data collection unit and other components of the device, drive them to move smoothly along the rail 60, and ensure their stable operation. The drive unit is the power source of the automatic detection device. The drive unit drives the frame to slide on the rail 60 along the length direction of the rail 60. The data collection unit is installed on the side of the frame close to the rail 60. The data collection unit is used to collect deformation data of the rail 60. Among them, the data collection unit can be a conventional sensor, such as a displacement sensor 40, a pressure sensor, etc. The drive unit can include a motor and other transmission components.

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

[0034] The remote control automatic detection device for rail unevenness in this embodiment can be operated automatically, without manual measurement of various parts of the rail 60, 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 the use of expensive high-speed cameras, linear array cameras, etc. to obtain the wear condition of the rail 60, the remote control automatic detection device for rail unevenness in this embodiment relies on conventional sensors (such as displacement sensors 40) to collect deformation data of the rail 60, so the manufacturing and maintenance costs are lower; no complex image processing technology is required. Compared with the machine vision system, the professional requirements of this device are lower, the technical difficulty is lower, and it is easy to promote and apply.

[0035] In one embodiment, Figure 1-2 As shown, 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 switches and other precision components, can be loaded inside the housing 10 to ensure that these precision components are not affected by the external environment, such as dust, moisture, etc. during operation. The housing 10 can be made of strong 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 through a certain elastic pressure, so that the frame is clamped on the rail 60 under the elastic force of the pair of elastic components 20. Since the elastic component 20 has a certain elastic force, it can automatically adapt to different rails 60 and slight changes in different positions of the same rail 60, ensuring that the device always maintains stable contact with the rail 60. The elastic component 20 can be made of high-strength spring steel, polyurethane elastomer or rubber, etc., which has good elasticity and can maintain deformation ability for a long time.

[0037] The frame slides along the length direction of the rail 60 through the pulley 30, and multiple pulleys 30 are symmetrically arranged on a pair of elastic components 20 to ensure that the device can slide smoothly along the length direction of the rail 60. The number of pulleys 30 can be 4, 6 or 8, etc., and they are symmetrically arranged on both sides of the rail 60 to ensure that the device slides smoothly on the rail 60. The driving unit drives at least one pulley 30 to push the detection device to move along the length direction of the rail 60.

[0038] The structural arrangement in this embodiment enables the detection device to run stably and smoothly on the rail 60, realizes automated wear detection, and maintains good data collection accuracy during movement.

[0039] In one embodiment, each elastic component 20 includes a pair of springs, and the elastic force of the springs ensures that the pulley 30 is close to the surface of the rail 60, reducing the deviation or shaking during the sliding process. Four springs are respectively arranged at the four corners of the bottom surface of the housing 10. This layout enables the elastic force to be evenly distributed on the four supporting points of the device, ensuring that the device is stably clamped and slid on the rail 60. A pair of pulleys 30 are arranged on each spring along the length direction of the rail 60. The pair of pulleys 30 on each spring form a front-to-back paired layout, which ensures that the device maintains stable linear sliding on the rail 60, so that the detection device can achieve automatic sliding in different track environments, while ensuring the accuracy and stability of data collection. Specifically, one end of the spring 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 on the mounting portion, the wheel body of the pulley 30 is rotatably connected to the fixed shaft, and the outer surface of the wheel body abuts against the rail 60.

[0040] In one embodiment, the data collection unit includes a displacement sensor 40, and the framework sets the displacement sensor 40 on the side of the rail 60. Through the measurement of the displacement sensor 40, the concave-convex, wear depth and deformation degree of the side of the rail 60 can be accurately measured. In other embodiments, the framework can also set the displacement sensor 40 on the top surface of the rail 60. Through the measurement of the displacement sensor 40, the real-time change of the shape of the top surface of the rail 60 can be obtained. In other embodiments, the framework can also set multiple displacement sensors 40 on the side and top surface of the rail 60, respectively, so as to realize multi-directional detection of the rail 60, eliminate the detection blind area, and improve the comprehensiveness and accuracy of the data. Compared with traditional manual detection methods (such as feeler gauges and calipers), the automatic detection device in this embodiment has the advantages of high efficiency and no omissions. The staff does not need to measure manually point by point, but only needs to slide along the rail 60 through the device to obtain detailed detection data of the entire section of the rail 60, which greatly reduces the detection time and manpower investment, reduces the deviation introduced by human operation, and ensures the reliability and consistency of the detection data.

[0041] The displacement sensor 40 may be a contact or non-contact sensor. The contact sensor directly contacts the surface of the rail 60 through a probe or a roller. The sensor detects the displacement change of the probe or the roller, converts it into an electrical signal, and transmits it to the data processing system. The contact sensor may be an inductive displacement sensor 40 or a capacitive displacement sensor 40. Non-contact sensors such as laser displacement sensors 40 calculate the distance between the sensor and the surface of the rail 60 by emitting a laser beam and measuring its reflection time or distance change. The sensor does not have physical contact with the surface of the rail 60 and is more suitable for occasions with high detection accuracy and fast measurement speed.

[0042] In one embodiment, an encoder or a pedometer can also be set on the frame. The encoder or pedometer can be connected to the pulley 30 or the drive unit of the device. As the detection device slides on the rail 60, the encoder or pedometer will generate a pulse signal. The pulse signal is equivalent to a trigger mechanism, which can trigger the sensor on the device to collect data, ensuring the automation of data collection without human intervention, thereby improving detection efficiency.

[0043] In one embodiment, the data collection unit includes at least two displacement sensors 40, and the two displacement sensors 40 are arranged on the same side of the rail 60, thereby reducing the measurement error of a single sensor. Through the cooperation of the two displacement sensors 40, the wear information of the rail 60 can be effectively measured by the chord measurement method. The two sensors are respectively used as reference points to determine the ideal chord line, and then the unevenness and wear of the side of the rail 60 are identified by comparing the deviation between the actual displacement data and the chord line, thereby improving the detection accuracy, reducing the measurement error, and supporting the continuous and automated detection of long sections of track, which has significant practicality and accuracy.

[0044] Each displacement sensor 40 is respectively arranged between a pair of pulleys 30 on a spring sheet. The pulleys 30 play a role in guiding the smooth operation of the device, avoiding collision between the sensor and other objects, and effectively extending the service life of the sensor.

[0045] In one embodiment, the data collection unit includes at least three displacement sensors 40, which are arranged on the top surface of the rail 60 along the length direction of the rail 60, and are used to accurately detect the wear, corrugation and unevenness of the top surface of the rail 60. The three sensors can verify each other, effectively reducing the error caused by abnormal readings of a certain sensor, ensuring sufficient detection accuracy without increasing complexity or cost due to too many sensors.

[0046] In one embodiment, the data collection unit also includes a switch connected to the displacement sensor 40 signal. 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 equipment through a data interface to facilitate 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 can also further reduce the maintenance cost of the equipment. The switch is arranged in the housing 10, and the housing 10 can prevent damage to the internal electronic components of the switch by external environments such as dust, moisture, and vibration, ensuring that the detection equipment can operate stably in harsh environments.

[0047] In one embodiment, the data collection unit includes a pressure sensor, and the framework pre-presses the detection end of the pressure sensor on the surface of the rail 60. The framework provides a preset pressure to press the pressure sensor against the rail 60. When the rail 60 is worn, 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 to achieve real-time, accurate and automated wear detection of the rail 60, greatly improving the detection efficiency and reducing 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, a screw adjustment mechanism or an elastic component 20 in the frame. The pressure sensor can be a strain gauge pressure sensor or a piezoelectric pressure sensor.

[0048] In one embodiment, a plurality of pressure sensors are provided, and the pressure sensors are provided on at least one side of the rail 60, and the elastic component 20 pre-presses the detection end of the pressure sensor on the surface of the rail 60. Multiple pressure sensors can be provided at different heights on the side of the rail 60, so as to realize synchronous monitoring of multiple measuring points, fully understand the wear condition of the side of the rail 60, avoid data omission that may occur in single-point monitoring, and improve the robustness of the entire system. Furthermore, the pressure sensor can also be provided on the top surface of the rail 60, and the housing 10 pre-presses the detection end of the pressure sensor on the surface of the rail 60, so that the detection device can monitor the side and top surfaces of the rail 60 at the same time, and provide more comprehensive wear detection.

[0049] In one embodiment, a remote control automatic detection system for rail unevenness includes a data processing module 50, a cloud data storage module, and the automatic detection device in the above embodiment, which are connected by signals in pairs. The automatic detection device is used to collect the original wear data of the surface of the rail 60 in real time, and then transmit it to the data processing module 50. The data processing module 50 processes and analyzes the original wear data in real time, and converts it into easy-to-read analysis results, such as the wear amount, corrugation degree, deformation trend, etc. of the rail 60. The processed data can be directly used to judge the health status of the rail 60, and can also provide a reference for subsequent maintenance. The cloud data storage module is used to perform cloud backup and storage of the data transmitted by the data processing module 50 and the automatic detection device. The module not only stores the processed data, but also stores the 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, which is convenient for remote monitoring and historical data query.

[0050] Among them, after the switch in the automatic detection device concentrates the raw data collected by the sensor, it can be transmitted to the data processing module 50 and the cloud data storage module through the external interface on the shell 10, or it can be transmitted 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 collected displacement data, remove the noise in the data, and restore the original characteristics of the signal. Through the sampling frequency, the device running speed and the displacement of each point, the relative position of the side and top surface of the rail 60 relative to the reference coordinate system is obtained, thereby obtaining the length and depth of the corrugation. Figure 3 As shown, the data processing module 50 can be a common notebook computer, industrial computer, etc.

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

[0053] The rail unevenness remote control automatic detection system in this embodiment integrates the automatic detection device, the data processing module 50 and the cloud data storage module to form a complete rail 60 detection system. The automatic detection device is responsible for real-time collection of rail 60 data, 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 work.

[0054] In the description of this specification, if the terms "embodiment one", "this embodiment", "in an embodiment" and the like appear, it means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in the invention or at least one embodiment or example of the invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example; moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in an appropriate manner.

[0055] In the description of this specification, the terms "connect", "install", "fix", "set", "have", etc. are all understood in a broad sense. 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 it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0056] In the description of this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0057] The above description of the embodiments is to facilitate ordinary technicians in the technical field to understand and apply the technology of this case. People familiar with the technology in this field can obviously easily make various modifications to these examples and apply the general principles described here to other embodiments without creative work. Therefore, this case is not limited to the above embodiments. Modifications to the following situations should all be within the scope of protection of this case: ① A new technical solution implemented based on the technical solution of the present invention and combined with existing common knowledge, the technical effect produced by the new technical solution does not exceed the technical effect of the present invention; ② The equivalent replacement of some features of the technical solution of the present invention by using known technology, the technical effect produced is the same as the technical effect of the present invention; ③ The technical solution of the present invention can be expanded, and the substantive content of the expanded technical solution does not exceed the technical solution of the present invention; ④ The equivalent transformation made by using the contents of the description and drawings of the present invention is directly or indirectly applied to other related technical fields.

Claims

1. A remote control automatic detection device for rail unevenness, characterized in that: include: a frame slidably connected to the rails; A driving unit, which drives the frame to slide on the rail along the length direction of the rail; A data collection unit is installed on the frame at a side close to the rail, and is used to collect deformation data of the rail.

2. The rail irregularity remote control automatic detection device according to claim 1 is characterized in that: The framework includes: case; A pair of elastic components are symmetrically arranged on both sides of the bottom of the shell, and the frame is clamped on the rail under the elastic force of the pair of elastic components; A plurality of pulleys are symmetrically arranged on a pair of the elastic components, the frame slides along the length direction of the rail through the pulleys, and the driving unit drives and connects at least one of the pulleys.

3. The rail irregularity remote control automatic detection device according to claim 2 is characterized in that: Each of the elastic components includes a pair of spring plates, and the four spring plates are respectively arranged at the four corners of the bottom surface of the shell, and each of the spring plates is provided with a pair of pulleys along the length direction of the rail.

4. The remote control automatic detection device for rail unevenness according to claim 3 is characterized in that: The data collection unit includes a displacement sensor, and the frame arranges the displacement sensor on the top surface and / or the side surface of the rail.

5. The remote control automatic detection device for rail unevenness according to claim 4 is characterized in that: The data collection unit includes at least two displacement sensors, the two displacement sensors are arranged on the same side of the rail, and each displacement sensor is arranged between a pair of pulleys on one of the spring sheets.

6. The rail irregularity remote control automatic detection device according to claim 4, characterized in that: The data collection unit includes at least three displacement sensors, and the three displacement sensors are arranged on the top surface of the rail along the length direction of the rail.

7. The rail irregularity remote control automatic detection device according to claim 4, characterized in that: The data collection unit further includes a switch connected to the displacement sensor signal, and the switch is disposed in the housing.

8. The remote control automatic detection device for rail unevenness according to claim 3 is characterized in that: The data collection unit includes a pressure sensor, and the frame pre-presses a detection end of the pressure sensor against the surface of the rail.

9. The remote control automatic detection device for rail unevenness according to claim 8, characterized in that: The pressure sensor is provided in plurality; The pressure sensor is arranged on at least one side of the rail, the elastic component pre-presses the detection end of the pressure sensor on the surface of the rail, and / or The pressure sensor is arranged on the top surface of the rail, and the shell pre-presses the detection end of the pressure sensor onto the surface of the rail.

10. A remote control automatic detection system for rail unevenness, characterized in that: It includes a data processing module and a cloud data storage module connected by signals in pairs, and an automatic detection device as described in any one of claims 1 to 9, wherein 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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