Rail transit intelligent monitoring system and method, electronic equipment and storage medium

Abstract

The invention discloses a rail transit intelligent monitoring system and method, electronic equipment and a storage medium, the rail transit intelligent monitoring system comprises a server, at least one train terminal monitoring device and at least one display module, and the server is connected with each train terminal monitoring device and each display module; the train terminal monitoring device comprises a control circuit, at least one positioning module arranged on a train, at least one vibration sensor arranged at the bottom of the train and at least one pressure sensor arranged on a listed wheel. The server comprises a database module, a train position acquisition module, a train speed acquisition module, a train operation simulation module, a train operation data acquisition module, a train operation stability evaluation module and a train abnormity AR display module. According to the rail transit intelligent monitoring system and method, the electronic equipment and the storage medium, hidden risks can be found in time, and safe operation of a train is ensured.

Description

Technical Field

[0001] This invention belongs to the field of rail transit technology, and relates to a rail transit monitoring system, and more particularly to a rail transit intelligent monitoring system, method, electronic device and storage medium. Background Technology

[0002] With the rapid development of rail transit in China, many cities are building urban rail transit networks to solve urban congestion and shorten the distance between cities.

[0003] Current rail transit maintenance typically relies on manual methods, which are inefficient and make it difficult for maintenance personnel to detect problems that are not obvious.

[0004] In view of this, there is an urgent need to design a new rail transit monitoring method in order to overcome at least some of the aforementioned shortcomings of existing rail transit monitoring methods. Summary of the Invention

[0005] This invention provides an intelligent monitoring system, method, electronic device, and storage medium for rail transit, which can promptly detect hidden risks and ensure the safe operation of trains.

[0006] To solve the above-mentioned technical problems, according to one aspect of the present invention, the following technical solution is adopted:

[0007] A smart monitoring system for rail transit, the smart monitoring system for rail transit comprising:

[0008] The system comprises a server, at least one train terminal monitoring device, and at least one display module, wherein the server is connected to each train terminal monitoring device and each display module respectively.

[0009] The train terminal monitoring device includes a control circuit, at least one positioning module installed on the train, at least one vibration sensor installed on the bottom of the train, and at least one pressure sensor installed on each of the train wheels; the control circuit is connected to each positioning module, each vibration sensor, and each pressure sensor respectively.

[0010] The server includes:

[0011] The database module is used to store the track data of the train; the track data includes the location data of the track setting points;

[0012] The train location acquisition module is used to acquire the train's location data;

[0013] The train speed acquisition module is used to acquire train speed data.

[0014] The train operation simulation module is used to generate simulation images of a train running on its corresponding track.

[0015] The train operation data acquisition module is used to acquire vibration data sensed by each vibration sensor and pressure data sensed by each pressure sensor.

[0016] The train operation stability assessment module is used to assess the stability of train operation based on the vibration data sensed by each vibration sensor and the pressure data sensed by each pressure sensor.

[0017] The train anomaly AR display module is used to generate a simulated train operation scene in a set area next to the train simulation operation screen when an abnormal train operation is detected, and then display it on the set display module.

[0018] The train operation stability assessment module assesses train operation stability based on a train operation mathematical model; the server further includes a train operation mathematical model construction module, which is used to construct a train operation mathematical model.

[0019] The train operation mathematical model construction module is used to preprocess the train operation data in the train operation training dataset; extract features from the preprocessed train operation data to extract key features; then combine, statistically analyze, and group the extracted key features, and standardize and normalize the key features to form a key feature combination; the key feature combination includes train speed data, train position data, train vibration data at a set position and speed, pressure data between the wheels and the track in a set area at a set position and speed, and fault data of the train and / or the track; and construct a train operation mathematical model based on the key feature combination after feature processing.

[0020] The train operation stability assessment module inputs the acquired train position data, speed data, vibration data sensed by each vibration sensor, and pressure data sensed by each pressure sensor into the train operation mathematical model to determine whether there is a fault in the train or / or the track, and if a fault exists, it identifies the fault type.

[0021] As one embodiment of the present invention, the train operation stability assessment module determines whether the pressure / vibration sensor is faulty based on whether the difference between the pressure data and / or vibration data sensed by each pressure / vibration sensor of the same train at the same track position is within a set threshold.

[0022] If the difference between the pressure data and / or vibration data sensed by each pressure / vibration sensor at the same track position is within a set threshold, then the pressure / vibration sensor is determined to be fault-free; the train operation stability assessment module uses the data sensed by the corresponding pressure / vibration sensor to assess whether there is a fault in the train or / or track.

[0023] As one embodiment of the present invention, each pressure sensor can be set at a different angle, and each group of pressure sensors senses pressure data at a different angle from the normal track; by sensing the pressure difference of each group of pressure sensors, it is easy to identify whether there is a tilt in the set area of ​​the track, and at the same time, the tilt angle can be evaluated according to the magnitude of the change.

[0024] As one embodiment of the present invention, the data stored in the database module further includes the normal pressure data range and / or vibration data range between the wheels and the track of the train at a set position and a set speed.

[0025] As one embodiment of the present invention, the key feature combination in the train operation mathematical model further includes environmental parameters, which include temperature data, humidity data, and weather condition data.

[0026] According to another aspect of the present invention, the following technical solution is adopted: a method for intelligent monitoring of rail transit in the above-mentioned intelligent monitoring system for rail transit, the method comprising:

[0027] The train position acquisition module acquires the train's position data; the train speed acquisition module acquires the train's speed data; the train operation data acquisition module acquires the vibration data sensed by each vibration sensor and the pressure data sensed by each pressure sensor.

[0028] The train operation mathematical model construction module constructs a train operation mathematical model. This module preprocesses the train operation data in the train operation training dataset; it extracts features from the preprocessed train operation data, identifying key features; then, it combines, statistically analyzes, and groups these key features, standardizing and normalizing them to form a key feature combination. This key feature combination includes train speed data, train position data, vibration data of the train at a set position and speed, pressure data between the wheels and rails in a set area at the set position and speed, and fault data of the train and / or the rails. The train operation mathematical model is constructed based on this feature-processed key feature combination.

[0029] The train operation stability assessment module uses the train operation mathematical model to assess the train operation stability. The train operation stability assessment module inputs the acquired train position data, speed data, vibration data sensed by each vibration sensor, and pressure data sensed by each pressure sensor into the train operation mathematical model to determine whether there is a fault in the train or / or the track. If a fault exists, the fault type is identified.

[0030] The train operation simulation module generates a simulation of the train running on the track at its corresponding location;

[0031] When the train abnormality AR display module detects a train operation abnormality, it generates a simulated train operation abnormality image in a designated area next to the train simulation operation screen according to the fault type, and displays it on the designated display module.

[0032] As one embodiment of the present invention, the train operation stability assessment module determines whether the pressure / vibration sensor is faulty based on whether the difference between the pressure data and / or vibration data sensed by each pressure / vibration sensor of the same train at the same track position is within a set threshold.

[0033] If the difference between the pressure data and / or vibration data sensed by each pressure / vibration sensor at the same track position is within a set threshold, then the pressure / vibration sensor is determined to be fault-free; the train operation stability assessment module uses the data sensed by the corresponding pressure / vibration sensor to assess whether there is a fault in the train or / or track.

[0034] As one embodiment of the present invention, each pressure sensor can be set at a different angle, and each group of pressure sensors senses pressure data at a different angle from the normal track; by sensing the pressure difference of each group of pressure sensors, it is easy to identify whether there is a tilt in the set area of ​​the track, and at the same time, the tilt angle can be evaluated according to the magnitude of the change.

[0035] As one embodiment of the present invention, the data stored in the database module further includes the normal pressure data range and / or vibration data range between the wheels and the track of the train at a set position and a set speed.

[0036] As one embodiment of the present invention, the key feature combination in the train operation mathematical model further includes environmental parameters, which include temperature data, humidity data, and weather condition data.

[0037] According to another aspect of the present invention, the following technical solution is adopted: an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0038] According to another aspect of the present invention, the following technical solution is adopted: a storage medium storing computer program instructions thereon, which, when executed by a processor, implement the steps of the above-described method.

[0039] The beneficial effects of this invention are as follows: the intelligent monitoring system, method, electronic device and storage medium for rail transit proposed in this invention can detect hidden risks in a timely manner and ensure the safe operation of trains. Attached Figure Description

[0040] Figure 1 This is a schematic diagram of the composition of an intelligent monitoring system for rail transit in one embodiment of the present invention.

[0041] Figure 2 This is a flowchart of a rail transit intelligent monitoring method according to an embodiment of the present invention.

[0042] Figure 3 This is a schematic diagram of the composition of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0043] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0044] To further understand the present invention, preferred embodiments of the present invention are described below in conjunction with examples. However, it should be understood that these descriptions are only for further illustrating the features and advantages of the present invention, and not for limiting the scope of the claims of the present invention.

[0045] The description in this section pertains to only a few typical embodiments, and the present invention is not limited to the scope of the embodiments described. Substitution of identical or similar prior art methods with some technical features in the embodiments is also within the scope of the description and protection of this invention.

[0046] The steps described in the various embodiments in the specification are for illustrative purposes only, and the implementation of this application is not limited by the order of the steps.

[0047] The term "connection" in the specification includes both direct and indirect connections, such as connections made through active devices, passive devices, or electrical conduction media; it may also include connections made by other active or passive devices that are known to those skilled in the art and can achieve the same or similar functional purpose, such as connections made through circuits or components such as switches or follower circuits.

[0048] This invention discloses an intelligent monitoring system for rail transit. Figure 1 This is a schematic diagram of the composition of an intelligent monitoring system for rail transit in one embodiment of the present invention; please refer to [link / reference]. Figure 1 The intelligent monitoring system for rail transit includes: a server 1, at least one train terminal monitoring device 2, and at least one display module 3. The server 1 is connected to each train terminal monitoring device 2 and each display module 3.

[0049] The train terminal monitoring device 2 includes a control circuit, at least one positioning module installed on the train, at least one vibration sensor installed on the bottom of the train, and at least one pressure sensor installed on each of the train wheels; the control circuit is connected to each positioning module, each vibration sensor, and each pressure sensor respectively.

[0050] The server 1 includes: a database module 11, a train position acquisition module 12, a train speed acquisition module 13, a train operation simulation module 14, a train operation data acquisition module 15, a train operation stability assessment module 16, a train anomaly AR display module 17, and a train operation mathematical model construction module 18.

[0051] The database module 11 is used to store the track data of the train; the track data includes the location data of the track setting points.

[0052] The train location acquisition module 12 is used to acquire the train's location data; in one embodiment, the train location acquisition module 12 may include a positioning module.

[0053] The train speed acquisition module 13 is used to acquire the speed data of the train; in one embodiment, the train speed acquisition module 13 can acquire the speed data by the difference in positioning positions per unit time.

[0054] The train operation simulation module 14 is used to generate a simulation image of the train running on its corresponding track. If the train is running normally, the simulation image is normal; if there is an abnormality in the train or track, the generated simulation image will highlight the abnormality.

[0055] The train operation data acquisition module 15 is used to acquire vibration data sensed by each vibration sensor and pressure data sensed by each pressure sensor.

[0056] The train operation stability assessment module 16 is used to assess the stability of train operation based on the vibration data sensed by each vibration sensor and the pressure data sensed by each pressure sensor.

[0057] The train abnormality AR display module 17 is used to generate a simulated train abnormality operation screen in a set area next to the train simulation operation screen when an abnormality is detected, and display it on the set display module.

[0058] The train operation stability assessment module 16 assesses the train operation stability based on the train operation mathematical model; the server further includes a train operation mathematical model construction module 18, which is used to construct a train operation mathematical model.

[0059] The train operation mathematical model construction module 18 is used to preprocess the train operation data in the train operation training dataset; extract features from the preprocessed train operation data to extract key features; then combine, statistically analyze, and group the extracted key features, and standardize and normalize the key features to form a key feature combination; the key feature combination includes train speed data, train position data, vibration data of the train at a set position and speed, pressure data between the wheels and the track in a set area at a set position and speed, and fault data of the train and / or the track; and construct a train operation mathematical model based on the key feature combination after feature processing.

[0060] The train operation stability assessment module 16 inputs the acquired train position data, speed data, vibration data sensed by each vibration sensor, and pressure data sensed by each pressure sensor into the train operation mathematical model to determine whether there is a fault in the train or / or the track, and if a fault exists, identifies the fault type.

[0061] In one embodiment of the present invention, the train operation stability assessment module 16 determines whether the pressure / vibration sensors are faulty based on whether the differences in pressure data and / or vibration data sensed by each pressure sensor of the same train at the same track position are within a set threshold. If the differences in pressure data and / or vibration data sensed by each pressure / vibration sensor at the same track position are within the set threshold, then the pressure / vibration sensors are determined to be fault-free; the train operation stability assessment module uses the data sensed by the corresponding pressure / vibration sensors to assess whether the train and / or track are faulty.

[0062] In one embodiment, the pressure sensors can be positioned at different angles, with each group of sensors sensing pressure data at different angles relative to the normal track. For example, the pressure sensors can be divided into three groups: the first group senses pressure at a 90° angle to the normal track, the second group senses pressure at a 60° angle, and the third group senses pressure at a 30° angle (or other angles, such as 45°). By observing the pressure differences sensed by each group of sensors, it is easy to identify whether there is a tilt in the designated area of ​​the track, and the tilt angle can be assessed based on the magnitude of the change. If the actual pressure data sensed by one group of sensors (at an angle of m° to the normal track) is the same as or similar to the theoretically sensed pressure data by another group of sensors (at an angle of n° to the normal track), then there is a possibility of track tilt |nm|°.

[0063] In one application scenario of this invention, if the track is tilted or contains foreign objects (e.g., tilted at 15°), the data sensed by the first group of pressure sensors differs from normal data (e.g., becomes smaller, the angle decreases, resulting in less force); the data sensed by the second group of pressure sensors differs from normal data (e.g., becomes larger, the angle increases, resulting in more force); and the data sensed by the third group of pressure sensors differs from normal data (e.g., becomes larger, the angle increases, resulting in more force). With a sufficient number of pressure sensor groups, the track tilt angle can be assessed based on the magnitude of the differences between the data from each group.

[0064] In one embodiment of the present invention, the data stored in the database module 11 further includes normal pressure data range and / or vibration data range between the wheels and the track of the train at a set position and a set speed. Furthermore, the key feature combination in the train operation mathematical model further includes environmental parameters, including temperature data, humidity data, and weather condition data.

[0065] This invention further discloses a method for intelligent monitoring of rail transit within the aforementioned intelligent monitoring system, the method comprising:

[0066]

Step S1

[0067]

Step S2

[0068]

Step S3

[0069]

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[0070]

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[0071] In one embodiment of the present invention, the train operation stability assessment module determines whether the pressure / vibration sensors are faulty based on whether the differences in pressure data and / or vibration data sensed by each pressure / vibration sensor at the same track position are within a set threshold. If the differences in pressure data and / or vibration data sensed by each pressure / vibration sensor at the same track position are within the set threshold, then the pressure / vibration sensors are determined to be fault-free; the train operation stability assessment module uses the data sensed by the corresponding pressure / vibration sensors to assess whether the train and / or track are faulty.

[0072] In one embodiment, the pressure sensors can be positioned at different angles, with each group of sensors sensing pressure data at different angles relative to the normal track. For example, the pressure sensors can be divided into three groups: the first group senses pressure at a 90° angle to the normal track, the second group senses pressure at a 60° angle, and the third group senses pressure at a 30° angle (or other angles, such as 45°). By observing the pressure differences sensed by each group of sensors, it is easy to identify whether there is a tilt in the designated area of ​​the track, and the tilt angle can be assessed based on the magnitude of the change. If the actual pressure data sensed by one group of sensors (at an angle of m° to the normal track) is the same as or similar to the theoretically sensed pressure data by another group of sensors (at an angle of n° to the normal track), then there is a possibility of track tilt |nm|°.

[0073] In one application scenario of this invention, if the track is tilted or contains foreign objects (e.g., tilted at 15°), the data sensed by the first group of pressure sensors differs from normal data (e.g., becomes smaller, the angle decreases, resulting in less force); the data sensed by the second group of pressure sensors differs from normal data (e.g., becomes larger, the angle increases, resulting in more force); and the data sensed by the third group of pressure sensors differs from normal data (e.g., becomes larger, the angle increases, resulting in more force). With a sufficient number of pressure sensor groups, the track tilt angle can be assessed based on the magnitude of the differences between the data from each group.

[0074] In one embodiment of the present invention, the data stored in the database module further includes normal pressure data range and / or vibration data range between the wheels and the track of the train at a set position and a set speed. Furthermore, the key feature combination in the train operation mathematical model further includes environmental parameters, including temperature data, humidity data, and weather condition data.

[0075] This invention also discloses an electronic device, Figure 3 This is a schematic diagram of the composition of an electronic device according to an embodiment of the present invention; please refer to [link / reference]. Figure 3 At the hardware level, the electronic device includes a memory, a processor, and at least one communication interface; the processor may be a microprocessor, and the memory may include main memory, such as random access memory (RAM) or non-volatile memory. Of course, the electronic device may also include other hardware as needed.

[0076] The processor, communication interface, and memory can be interconnected via an internal bus. The memory stores programs (including operating system programs and application programs); the programs may include program code, which may include computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0077] In one embodiment, the processor can read the corresponding program from non-volatile memory into memory and then run it; the processor can execute the program stored in memory and specifically perform the following operations (e.g. Figure 2 As shown):

[0078]

Step S1

[0079]

Step S2

[0080]

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[0081]

Step S4

[0082]

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[0083] This invention further discloses a storage medium storing computer program instructions, which, when executed by a processor, implement the following steps of the method of this invention (e.g. Figure 2 As shown):

[0084]

Step S1

[0085]

Step S2

[0086]

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[0087]

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[0089] In summary, the intelligent monitoring system, method, electronic device, and storage medium for rail transit proposed in this invention can promptly detect hidden risks and ensure the safe operation of trains.

[0090] It should be noted that this application can be implemented in software and / or a combination of software and hardware; for example, it can be implemented using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In some embodiments, the software program of this application can be executed by a processor to implement the steps or functions described above. Similarly, the software program of this application (including related data structures) can be stored in a computer-readable recording medium; for example, RAM memory, magnetic or optical drives, floppy disks, and similar devices. In addition, some steps or functions of this application can be implemented in hardware; for example, as circuitry that cooperates with a processor to perform the various steps or functions.

[0091] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0092] The description and application of the present invention herein are illustrative and not intended to limit the scope of the invention to the embodiments described above. Effects or advantages involved in the embodiments may not be apparent due to various factors, and the description of effects or advantages is not intended to limit the embodiments. Variations and modifications of the embodiments disclosed herein are possible, and various substitutions and equivalents of the components in the embodiments are well known to those skilled in the art. It should be apparent to those skilled in the art that the invention can be implemented in other forms, structures, arrangements, proportions, and with other components, materials, and parts without departing from the spirit or essential characteristics of the invention. Other variations and modifications can be made to the embodiments disclosed herein without departing from the scope and spirit of the invention.

Claims

1. A rail transit intelligent monitoring system, characterized in that, The rail transit intelligent monitoring system comprises a server, at least one train terminal monitoring device and at least one display module, wherein the server is connected with each train terminal monitoring device and each display module respectively; The train terminal monitoring device comprises a control circuit, at least one positioning module arranged on the train, at least one vibration sensor arranged at the bottom of the train and at least one pressure sensor arranged on the wheel of the train, wherein the control circuit is connected with each positioning module, each vibration sensor and each pressure sensor respectively; The server comprises: a database module for storing the line data of the track on which the train runs, wherein the line data of the track comprises the position data of the line set point; a train position acquisition module for acquiring the position data of the train; a train speed acquisition module for acquiring the speed data of the train running; a train running simulation module for generating a simulation picture of the train running on the track corresponding to the position of the train; a train running data acquisition module for acquiring the vibration data sensed by each vibration sensor and the pressure data sensed by each pressure sensor; a train running mathematical model construction module for constructing a train running mathematical model, wherein the train running mathematical model construction module pre-processes the train running data in the train running training data set, extracts set key features from the pre-processed train running data, combines, counts and groups codes the key features, standardizes and normalizes the key features to form a key feature combination, and constructs the train running mathematical model according to the key feature combination after feature processing, wherein the key feature combination comprises the train running speed data, the train position data, the vibration data of the train at the set position and the set speed, the pressure data between the wheel and the track in the set region of the train at the set position and the set speed, and the fault data of the train or / and the track; a train running stability evaluation module for evaluating the train running stability by using the train running mathematical model, wherein the train running stability evaluation module inputs the acquired train position data, speed data, vibration data sensed by each vibration sensor and pressure data sensed by each pressure sensor into the train running mathematical model, judges whether there is a fault in the train or / and the track, and identifies the fault type if there is a fault; a train abnormality AR display module for generating a simulation picture of the train running abnormality according to the fault category in a set region beside the train simulation running picture if the train running abnormality is identified, and displaying on the set display module.

2. The rail transit intelligent monitoring system according to claim 1, wherein: the train running stability evaluation module judges whether there is a fault in the pressure / vibration sensor according to whether the difference between the pressure data or / and the vibration data sensed by each pressure / vibration sensor of the same train at the same position track is within a set threshold. If the difference between the pressure data or / and vibration data sensed by each pressure sensor at the same position of the track is within a set threshold, it is determined that the pressure / vibration sensor is not malfunctioning; the train operation stability evaluation module evaluates whether the train or / and track has a fault using the data sensed by the corresponding pressure / vibration sensor. 3.The intelligent monitoring system for rail transit according to claim 1, characterized in that: Each pressure sensor can be arranged at different angles, and each group of pressure sensors senses pressure data in different angular directions from the normal track; by the pressure difference sensed by each group of pressure sensors, it is convenient to identify whether the set area of the track has an inclination, and the inclination angle is evaluated according to the change size. 4.The intelligent monitoring system for rail transit according to claim 1, characterized in that: The data stored in the database module further includes the normal pressure data range or / and vibration data range between the train wheels and the track at a set position and a set speed; The key feature combination in the train operation mathematical model further includes environmental parameters, and the environmental parameters include temperature data, humidity data, and weather condition data.

5. A rail transit intelligent monitoring method of the rail transit intelligent monitoring system according to any one of claims 1 to 4, characterized in that, The intelligent monitoring method for rail transit includes: The train position acquisition module acquires position data of the train; the train speed acquisition module acquires speed data of the train in operation; the train operation data acquisition module acquires vibration data sensed by each vibration sensor and pressure data sensed by each pressure sensor; The train operation mathematical model construction module constructs a train operation mathematical model; the train operation mathematical model construction module pre-processes train operation data in a train operation training data set; the pre-processed train operation data is subjected to feature extraction to extract set key features; then the extracted key features are combined, counted, and grouped coded, and the key features are standardized and normalized to form a key feature combination; the key feature combination includes train operation speed data, train position data, vibration data of the train at a set position and a set speed, pressure data between the train wheels and the track at a set position and a set speed, and fault data of the train or / and track; the train operation mathematical model is constructed according to the key feature combination after feature processing; The train operation stability evaluation module evaluates the train operation stability using the train operation mathematical model; the train operation stability evaluation module inputs the acquired train position data, speed data, vibration data sensed by each vibration sensor, and pressure data sensed by each pressure sensor into the train operation mathematical model to determine whether the train or / and track has a fault, and if there is a fault, the fault type is identified; The train operation simulation module generates a simulation picture of the train running on its corresponding track at the position; The train abnormal AR display module generates a simulation picture of the train operation anomaly according to the fault category in a set area beside the train simulation running picture and displays the simulation picture on the set display module when the train operation anomaly is identified. 6.The intelligent monitoring method for rail transit according to claim 5, characterized in that: The train operation stability evaluation module judges whether the pressure / vibration sensor is faulty according to whether the difference between the pressure data or / and vibration data of the same position track sensed by each pressure / vibration sensor is within the set threshold value; If the difference between the pressure data or / and vibration data of the same position track sensed by each pressure / vibration sensor is within the set threshold value, it is judged that the pressure / vibration sensor is not faulty; the train operation stability evaluation module uses the data sensed by the corresponding pressure / vibration sensor to evaluate whether the train or / and track is faulty. 7.The track traffic intelligent monitoring method of claim 5, wherein: Each pressure sensor can be arranged at different angles, and each group of pressure sensors senses pressure data in different angular directions with respect to the normal track; by the pressure difference sensed by each group of pressure sensors, it is convenient to identify whether the set area of the track is tilted, and the tilt angle is evaluated according to the change size. 8.The track traffic intelligent monitoring method of claim 5, wherein: The data stored in the database module further includes the normal pressure data range or / and vibration data range between the train wheels and the track at the set position and the set speed; The key feature combination in the train operation mathematical model further includes environmental parameters, and the environmental parameters include temperature data, humidity data, and weather condition data.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the method of any one of claims 5 to 8.

10. A storage medium having stored thereon computer program instructions, characterized in that, The computer program instructions are executed by the processor to realize the steps of the method of any one of claims 5 to 8.

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