Foreign matter collision damage degree evaluation system in train running

Abstract

The invention, which relates to the technical field of foreign matter collision assessment in train driving, discloses a foreign matter collision damage degree assessment system in train driving, comprising a data acquisition module, a database module, a track monitoring module, a foreign matter collision analysis module, a train monitoring analysis module, a train damage assessment module and an emergency scheme starting module. The data acquisition module is used for acquiring parameter data and operation data of a train; the database module is used for constructing historical image data and foreign matter quality data of a foreign matter invading train; the track monitoring module is used for monitoring whether foreign matters invade or not and acquiring the moving speed of the foreign matters; the foreign matter collision analysis module is used for analyzing the impulse between the train and the foreign matter; the train monitoring analysis module is used for acquiring an image of a train collision position after the train collides with the foreign matter and analyzing an actual collision area of the train and the foreign matter; the train damage evaluation module is used for judging the train damage level; the emergency scheme starting module is used for starting different emergency schemes.

Description

Technical Field

[0001] The present invention relates to the technical field of foreign object collision assessment during train operation, and specifically refers to a system for assessing the damage degree of foreign object collision during train operation. Background Art

[0002] Railways, as the main artery of the national economy, important national infrastructure, and popular means of transportation, play an important role in the development of the national economy and society. With the continuous increase in the operating mileage of China's railways, the difficulty of railway safety operation is also increasing. As a result, casualty accidents caused by foreign object intrusion occur from time to time. Foreign object intrusion into the railway safety clearance (foreign object intrusion) may trigger traffic accidents and endanger the safety and stability of railway transportation, which has attracted great attention from society. Foreign object intrusion events are sudden and random, and it is often difficult to predict the time and location of their occurrence. Therefore, accurate detection and timely handling of foreign objects invading the railway have become extremely important.

[0003] The following describes several existing technologies:

[0004] The patent with the application number CN2010205688975 describes a locomotive ground signal and obstacle automatic recognition system. Its image recognition device consists of an image acquisition module, an image detection and positioning module, and an image recognition module installed on the locomotive body. During the operation of the train, the image acquisition module (camera) installed in front of the locomotive (locomotive head) analyzes and discriminates the recorded real-time video images within the visible range. By using image target position positioning algorithms, color recognition algorithms, and recognition algorithms such as structure and texture, it can distinguish the status of traffic lights ahead, the earth retaining wall at the dead end line, the turnout status, and the parked vehicles ahead in real time. After the determination result of the status in front of the locomotive is recognized, it will be in the form of a voice signal and be announced to the driver and crew through a speaker for voice reminder and alarm, so as to effectively avoid misjudgment or accidents.

[0005] The patent with the application number CN20181158368095 describes an intelligent detection and alarm system for railway obstacles on locomotives and its early warning method, which consists of a video acquisition system, a ranging system, a servo control system, a display screen, an information processing system, and an alarm system. The early warning method of the intelligent detection and alarm system for railway obstacles on locomotives is specifically carried out according to the following steps: power on the intelligent detection and alarm system for railway obstacles on locomotives, the information processing system loads the complete GPS information of the next stage of the journey and judges whether the loading is completed. After the loading is completed, it runs the GPS information of the current journey, calculates the attitude control data associated with the servo control system, sends the attitude control data to the servo control system, clears the GPS information of the current journey, and judges whether to shut down.

[0006] The invention with the application number CN2010205688975 analyzes and discriminates the status of traffic lights in front of the train, the buffer stop at the dead end line, the switch status, and the parked train in front, etc. by analyzing the video images within the visible range of the camera installed in front of the locomotive. Firstly, the viewing angle of a single camera is limited, and it is impossible to comprehensively record and discriminate the situation in front of the train in real time beyond the line of sight. Secondly, this invention mainly discriminates static objects, and it cannot follow the line of sight to dynamic obstacles, nor can it monitor the abnormal fatigue driving behavior of the driver.

[0007] As can be seen from the above, in the prior art, there are technical solutions such as locomotive obstacle recognition, intelligent detection and early warning of on-vehicle railway obstacles on locomotives, and discrimination of static objects in front of locomotives to discriminate and give early warning of obstacles in front of locomotives. However, the situation where foreign objects have invaded the train and caused collisions has not been analyzed. Then, the damage suffered by the train after the collision with foreign objects cannot be evaluated, thus affecting the train operation safety. Therefore, it has become an urgent problem to establish a foreign object intrusion detection system along the railway, conduct real-time monitoring of the railway, timely detect intrusion foreign objects, analyze the train impact scenarios and equivalent loads under the environment of foreign object intrusion, extract the basic physical characteristic parameters of foreign objects in the train operation environment, construct a foreign object-train collision model, and analyze the damaged conditions of the train under the foreign object impact scenario. Summary of the Invention

[0008] The technical problem to be solved by the present invention is that during the operation of the train, it will be subject to the situation of foreign object intrusion. When a foreign object collides with the train, it will cause varying degrees of damage to the train, and it is necessary to evaluate these collisions to determine whether they will cause harm.

[0009] To solve the above technical problem, the technical solution provided by the present invention is: a system for evaluating the damage degree of foreign object collision during train operation, including a data acquisition module, a database module, a track monitoring module, a foreign object collision analysis module, a train monitoring analysis module, a train damage evaluation module, and an emergency plan activation module;

[0010] The data acquisition module is used to obtain the parameter data and operation data of the train;

[0011] The database module is used to construct historical image data and foreign object mass data based on foreign objects invading the train;

[0012] The track monitoring module is used to monitor whether there is a foreign object intrusion and obtain the moving speed of the foreign object based on the train track network by using infrared monitoring equipment and a speed radar;

[0013] The foreign object collision analysis module is used to analyze the impulse between the train and the foreign object based on the moving speed of the foreign object;

[0014] The train monitoring and analysis module is used to obtain the image of the train impact position after the train collides with a foreign object by using the pre-monitoring device on the train and analyze the actual collision area between the train and the foreign object;

[0015] The train damage assessment module is used to determine the train damage level based on the actual collision area between the train and the foreign object;

[0016] The emergency plan activation module is used to activate different emergency plans according to the train damage level;

[0017] The output end of the data acquisition module is connected to the input end of the database module; the output end of the database module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the foreign object collision analysis module; the output end of the foreign object collision analysis module is connected to the input end of the train monitoring and analysis module; the output end of the train monitoring and analysis module is connected to the input end of the train damage assessment module; the output end of the train damage assessment module is connected to the input end of the emergency plan activation module.

[0018] Further, the specific process of the data acquisition module for obtaining the parameter data and operation data of the train is as follows:

[0019] The parameter data of the train is obtained through the train registration information, and the parameter data includes the top length, bottom length, width, height of the train head and the included angle between the train head and the location;

[0020] The operation data of the train is obtained through the dispatching center database.

[0021] Further, the database module constructs the historical image data and foreign object mass data based on the intrusion of foreign objects into the train, including:

[0022] Construct a foreign object detection database, and the data in the foreign object detection database includes the historical image data and mass data of hail, sand and gravel, flying birds and land animals; denote the mass of the foreign object as m i ; According to the historical data, the mass ranges of hail, sand and gravel, flying birds and land animals are set as [m1, m2], [m3, m4], [m5, m6] and [m7, m8] respectively; the mass unit is kilogram.

[0023] Further, the specific process of the track monitoring module for monitoring whether there is a foreign object intrusion is as follows:

[0024] Infrared monitoring devices and speed measurement radars are deployed at intervals of M meters on both sides of each train track according to the train track network; with each infrared monitoring device as the monitoring center, set the monitoring radius of the infrared monitoring device, denoted as R;

[0025] When a foreign object enters the monitoring range of the infrared monitoring device, the speed of the foreign object is obtained by using a speed measuring radar, which is recorded as v0; an image of the foreign object intrusion monitoring range is obtained, and grayscale processing is performed on the image of the foreign object intrusion monitoring range to generate a grayscale image of the foreign object intrusion monitoring range; the number of pixels at the location of the foreign object in the grayscale image of the foreign object intrusion monitoring range is collected, which is recorded as P0; the actual area occupied by each pixel is collected, which is recorded as S j ; Get the actual area of the foreign body, recorded as S 0j , S 0j =P0*S j .

[0026] Furthermore, the specific process of the foreign object collision analysis module for analyzing the impulse between the train and the foreign object based on the moving speed of the foreign object is as follows:

[0027] The impact velocity of the foreign object on the train head is recorded as v 0k ; The impulse of the foreign object on the train head is recorded as I0;

[0028] According to the formula

[0029] vN0=v0*cosθ+v k *sinθ;

[0030] vT0=v k *cosθ-v0*sinθ;

[0031]

[0032] I0=m i *v 0k ;

[0033] Among them, vN0 is the positive impact component of the foreign object on the train front; vT0 is the oblique impact component of the foreign object on the train front; m i The mass of the foreign matter.

[0034] Furthermore, the specific process of the train monitoring and analysis module acquiring an image of the collision position of the train after the collision between the train and the foreign object and analyzing the actual collision area between the train and the foreign object is as follows:

[0035] Using a front monitoring device on the train to obtain an image of the collision position of the train after the train collides with the foreign object; performing grayscale processing on the image of the collision position of the train after the train collides with the foreign object to generate a grayscale image of the collision position of the train after the train collides with the foreign object;

[0036] The number of pixels at the location of the foreign object in the grayscale image after the train collides with the foreign object is collected and recorded as P c ;

[0037] Collect the actual area occupied by each pixel after the train collides with a foreign object, denoted as S h ;

[0038] Obtain the actual collision area between the train and the foreign object, denoted as S ch , S ch = P c * S h .

[0039] Furthermore, the specific process by which the train damage assessment module determines the train damage level based on the actual collision area between the train and the foreign object is as follows:

[0040] Set the reference value of the impulse that the train can withstand during driving, denoted as I max ;

[0041] When the impulse between the train and the foreign object exceeds the reference value of the impulse that the train can withstand during driving, analyze the foreign object intrusion ratio based on the actual collision area between the train and the foreign object and the surface area of the train head;

[0042] Denote the surface area of the train head as S; denote the foreign object intrusion ratio as ρ; where

[0043] According to the formula:

[0044]

[0045] where Z i = 1 indicates that when there is a collision between the train and the foreign object without deformation and the train can run normally, the damage level of the foreign object to the train is primary damage; Z i = 2 indicates that when there is a collision between the train and the foreign object with deformation and the train can run normally, the damage level of the foreign object to the train is intermediate damage; Z i = 3 indicates that when there is a collision between the train and the foreign object with deformation and the train cannot run normally, the damage level of the foreign object to the train is advanced damage.

[0046] Furthermore, start different emergency plans according to the train damage level:

[0047] When the damage level of the foreign object to the train is primary damage, the train driver sends a request to the dispatching center to reduce the speed of the train;

[0048] When the damage level of the foreign object to the train is intermediate damage; the train driver sends the foreign object intrusion situation to the dispatching center, and the dispatching center arranges for train maintenance work at the nearest upcoming stop according to the line operation situation;

[0049] When the damage level of the foreign object to the train is high-level damage; the dispatching center coordinates other trains running on this line, arranges on-board maintenance personnel to conduct inspections under the condition of ensuring safety, and arranges rescue vehicles to go there.

[0050] The advantages of the present invention compared with the prior art are as follows: the present invention can obtain the parameter data and operation data of the train in real time, and analyze the intrusion of foreign objects of different specifications based on the historical image data of foreign objects invading the train and the foreign object mass data. By combining the infrared monitoring equipment and speed measurement radar arranged in the train track network, the intrusion situation and the state of the foreign object can be monitored and analyzed more clearly. Through the foreign object collision analysis module, the impact impulse and area of the foreign object on the train can be quantified, so as to further accurately analyze the collision degree of the foreign object on the train and the train damage level, and then start different emergency plans according to the train damage level. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is the system flow chart of a system for evaluating the degree of damage caused by foreign object collision during train operation of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0052] The following further elaborates on a system for evaluating the degree of damage caused by foreign object collision during train operation of the present invention with reference to the accompanying drawings.

[0053] The working principle of the present invention:

[0054] A system for evaluating the degree of damage caused by foreign object collision during train operation, the system includes a data acquisition module, a database module, a track monitoring module, a foreign object collision analysis module, a train monitoring and analysis module, a train damage assessment module, and an emergency plan activation module;

[0055] The data acquisition module is used to obtain the parameter data and operation data of the train;

[0056] The database module is used to construct historical image data and foreign object mass data based on foreign objects invading the train;

[0057] The track monitoring module is used to monitor whether there is a foreign object intrusion and obtain the moving speed of the foreign object based on the train track network by using infrared monitoring equipment and speed measurement radar;

[0058] The foreign object collision analysis module is used to analyze the impulse between the train and the foreign object based on the moving speed of the foreign object;

[0059] The train monitoring and analysis module is used to obtain the image of the train impact position after the train collides with the foreign object by using the front monitoring device on the train and analyze the actual collision area between the train and the foreign object;

[0060] The train damage assessment module is used to determine the train damage level based on the actual collision area between the train and the foreign object;

[0061] The emergency plan activation module is used to activate different emergency plans according to the train damage level;

[0062] The output end of the data acquisition module is connected to the input end of the database module; the output end of the database module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the foreign object collision analysis module; the output end of the foreign object collision analysis module is connected to the input end of the train monitoring and analysis module; the output end of the train monitoring and analysis module is connected to the input end of the train damage assessment module; the output end of the train damage assessment module is connected to the input end of the emergency plan activation module.

[0063] Further, the specific process of the data acquisition module for obtaining the parameter data and operation data of the train is as follows:

[0064] The parameter data of the train is obtained through the train registration information, and the parameter data includes the top length, bottom length, width, height of the train head and the angle between the train head and the location;

[0065] The operation data of the train is obtained through the dispatching center database.

[0066] In the above technical solution, the intrusion of foreign objects into the train mainly occurs at the train head part. Therefore, the parameter data of the train is obtained through the train registration information. At the same time, it can provide basic data support for quantifying the collision damage degree of foreign objects to the train.

[0067] Further, the database module constructs the historical image data and foreign object mass data based on the intrusion of foreign objects into the train, including:

[0068] Construct a foreign object detection database, and the data of the foreign object detection database includes the historical image data and mass data of hail, sand and gravel, birds and land animals; record the mass of the foreign object as m i ; According to the historical data, the mass intervals of hail, sand and gravel, birds and land animals are set as [m1, m2], [m3, m4], [m5, m6] and [m7, m8] respectively; the mass unit is kilogram.

[0069] In the above solution, foreign objects invading the train have different specifications, including large animals, as well as small particles such as hail and flying stones. Due to the mass of the foreign objects, their moving speeds will generate different impacts on the train (quantified by impulse in the present invention). Therefore, using the image data and mass data of historical foreign object collisions as reference data can more accurately analyze the foreign objects invading the train.

[0070] Further, the specific process of the track monitoring module monitoring whether there is a foreign object invasion is as follows:

[0071] Install infrared monitoring devices and speed measurement radars at intervals of M meters on both sides of each train track according to the train track network; respectively, with each infrared monitoring device as the monitoring center, set the monitoring radius of the infrared monitoring device, denoted as R;

[0072] When a foreign object invades the monitoring range of the infrared monitoring device, use the speed measurement radar to obtain the moving speed of the foreign object, denoted as v0; obtain the image of the foreign object invading the monitoring range, perform grayscale processing on the image of the foreign object invading the monitoring range to generate a grayscale image of the foreign object invading the monitoring range; collect the number of pixels at the position of the foreign object in the grayscale image of the foreign object invading the monitoring range, denoted as P0; collect the actual area occupied by each pixel, denoted as S j ; obtain the actual area of the foreign object, denoted as S 0j , S 0j = P0 * S j .

[0073] In the above technical solution, the present invention is equipped with infrared monitoring devices and speed measurement radars as required. The infrared sensing function of the infrared monitoring devices can be used to locate the position of foreign object invasion, and the foreign object invasion image can be extracted by the monitoring devices. At the same time, the speed measurement radar is used to measure the moving speed of the foreign object. The larger the foreign object, the faster the moving speed and the greater the impact on the train.

[0074] Further, the specific process of the foreign object collision analysis module for analyzing the impulse between the train and the foreign object based on the moving speed of the foreign object is as follows:

[0075] Denote the impact speed of the foreign object on the train head as v 0k ; denote the impulse of the foreign object on the train head as I0;

[0076] According to the formula

[0077] vN0 = v0 * cosθ + v [[ID=:35]] k * sinθ;

[0078] vT0 = v k * cosθ - v0 * sinθ;

[0079]

[0080] I0=m i *v 0k ;

[0081] Among them, vN0 is the positive impact component of the foreign object on the train front; vT0 is the oblique impact component of the foreign object on the train front; m i The mass of the foreign matter.

[0082] In the above technical solution, different train heads have different angles with the ground. When foreign objects hit the train, the impact of the foreign objects on the train is analyzed by dividing the impact velocity into forward impact and oblique impact. At the same time, combined with the mass of the foreign objects, the impulse of the foreign objects on the train head can be calculated, thereby providing a basis for judging the degree of collision of the foreign objects on the train.

[0083] Furthermore, the specific process of the train monitoring and analysis module acquiring an image of the collision position of the train after the collision between the train and the foreign object and analyzing the actual collision area between the train and the foreign object is as follows:

[0084] Using a front monitoring device on the train to obtain an image of the collision position of the train after the train collides with the foreign object; performing grayscale processing on the image of the collision position of the train after the train collides with the foreign object to generate a grayscale image of the collision position of the train after the train collides with the foreign object;

[0085] The number of pixels at the location of the foreign object in the grayscale image after the train collides with the foreign object is collected and recorded as P c ;

[0086] The actual area occupied by each pixel after the train collides with the foreign object is recorded as S h ;

[0087] The actual collision area between the train and the foreign object is obtained, which is recorded as S ch , S ch =P c *S h .

[0088] In the above technical solution, by using the front monitoring device on the train to obtain an image of the collision position of the train after the train collides with a foreign object and processing and analyzing the image, the actual collision area between the train and the foreign object can be obtained. Combined with the impulse received by the train, it can provide a basis for analyzing the collision damage level between the train and the foreign object.

[0089] Furthermore, the specific process of the train damage assessment module determining the train damage level based on the actual collision area between the train and the foreign object is as follows:

[0090] Set the baseline value of the impulse that the train can withstand during travel, denoted as I max ;

[0091] When the impulse between the train and the foreign object exceeds the reference value of the impulse that the train can withstand during driving, the intrusion ratio of the foreign object is analyzed based on the actual collision area between the train and the foreign object and the surface area of the train head.

[0092] Let the surface area of the train head be S; let the intrusion ratio of the foreign object be ρ; among them,

[0093] According to the formula:

[0094]

[0095] where Z i = 1 indicates that when there is a collision between the train and the foreign object without deformation and the train can run normally, the damage level of the foreign object to the train is primary damage; Z i = 2 indicates that when there is a collision between the train and the foreign object with deformation and the train can run normally, the damage level of the foreign object to the train is intermediate damage; Z i = 3 indicates that when there is a collision between the train and the foreign object with deformation and the train cannot run normally, the damage level of the foreign object to the train is advanced damage.

[0096] Furthermore, different emergency plans are activated according to the damage level of the train:

[0097] When the damage level of the foreign object to the train is primary damage, the train driver sends a request to the dispatching center to reduce the running speed;

[0098] When the damage level of the foreign object to the train is intermediate damage; the train driver sends the intrusion situation of the foreign object to the dispatching center, and the dispatching center arranges the train maintenance work at the nearest stop ahead according to the line operation situation;

[0099] When the damage level of the foreign object to the train is advanced damage; the dispatching center coordinates other trains running on this line, arranges on-board maintenance personnel to conduct inspections under the condition of ensuring safety, and arranges rescue vehicles to go there.

[0100] In the above technical solution, during the collision between the foreign object and the train, there may be various situations. For example, when the foreign object collides with the train but actually does not cause actual damage to the train, then the driving speed of the train can be changed to reduce the impact of the foreign object on the train to effectively ensure the train operation safety; when the collision between the foreign object and the train causes a certain degree of visible damage to the train, then it is necessary to park the train for maintenance, because different emergency plans are set according to different collision damage levels in this solution.

[0101] Combined with the attached Figure 1 , the specific implementation process of a system for evaluating the damage degree of foreign object collision during train operation according to the present invention is as follows:

[0102] Example 1:

[0103] The following gives a simulation case:

[0104] Obtain the parameter data of the train through the train registration information. The parameter data includes the top length of 5 meters, the bottom length of 4.5 meters, the width of 3 meters, the height of 4 meters at the front of the train, and the angle of 0 degrees (the train is traveling horizontally) between the front of the train and the location;

[0105] Obtain the running data of the train through the dispatching center database: the current running speed is 300 km / h (≈83.33 m / s).

[0106] Build a foreign object detection database. The data in the foreign object detection database includes the historical image data and quality data of hail, gravel, birds, and land animals; denote the mass of the foreign object as m i ; Set the mass intervals of hail, gravel, birds, and land animals as [0.01, 0.1], [0.001, 0.01], [0.1, 1], and [10, 100] respectively according to the historical data; the mass unit is kilogram.

[0107] Install infrared monitoring devices and speed measurement radars at intervals of M = 50 meters on both sides of each train track according to the train track network; take each infrared monitoring device as the monitoring center and set the monitoring radius of the infrared monitoring device, denoted as R = 30;

[0108] Take the example that a bird invades the monitoring range of a certain infrared monitoring device at a certain moment:

[0109] When the bird invades the monitoring range of the infrared monitoring device, use the speed measurement radar to obtain the moving speed of the bird v0 = 10 m / s; obtain the image of the bird invading the monitoring range, perform gray-scale processing on the image of the bird invading the monitoring range to generate a gray-scale image of the bird invading the monitoring range; collect the number of pixels P0 at the position of the bird in the gray-scale image of the bird invading the monitoring range as 100; collect the actual area S occupied by each pixel j as 0.01 square meters; obtain the actual area S of the bird 0j = P0 * S j = 100 * 0.01 = 1 square meter.

[0110] Given the train running speed of 83.33 m / s, assume the mass of the bird is 0.5 kg, and assume the angle between the train running direction and the foreign object flying direction is θ = 30 degrees. Calculate the impact speed v of the bird on the front of the train according to the following formula 0k , and the impulse I0 of the bird on the front of the train;

[0111] vN0 = v0 * cosθ + v k*sinθ=10*cos 30°+83.33*sin30°≈50.33 m / s;

[0112] vT0=v k *cosθ-v0*sinθ=83.33×cos30°-10×sin30°≈67.16 m / s;

[0113] m / s;

[0114] I0=m i *v 0k =0.5*83.87=41.935 kg*m / s;

[0115] Among them, vN0 is the positive impact component of the foreign object on the train front; vT0 is the oblique impact component of the foreign object on the train front; m i For the quality of the bird.

[0116] An image of the collision position of the train after the collision between the train and the foreign object is obtained by using a front monitoring device on the train; grayscale processing is performed on the image of the collision position of the train after the collision between the train and the foreign object to generate a grayscale image of the collision position of the train after the collision between the train and the foreign object;

[0117] Collect the number of pixels P at the location of the foreign object in the grayscale image after the train collides with the foreign object c 50;

[0118] Collect the actual area S occupied by each pixel after the train collides with the foreign object h 0.02 square meters;

[0119] Get the actual collision area S between the train and the foreign object ch =P c *S h =50*0.02=1 square meter.

[0120] Set the baseline value I of the impulse that the train can withstand during travel max 30 kg·m / s;

[0121] When the impulse between the train and the foreign object exceeds the baseline value of the impulse that the train can withstand during driving, the foreign object intrusion ratio is calculated based on the actual collision area between the train and the foreign object and the surface area of the train head;

[0122] The surface area of the train head is S; the proportion of foreign matter intrusion is ρ; where, Since I0=41.935 kg*m / s, it exceeds I max , and then according to the actual collision area S between the train and the foreign object ch(1 square meter) and the surface area of the train head (assumed to be 50 square meters), the intrusion ratio ρ of foreign objects is analyzed as ρ = S ch ÷S = 1÷50 = 0.02. After calculation, ρ is in the interval [0.3, 0.6);

[0123] According to the judgment formula:

[0124]

[0125] where Z i = 1 indicates that when there is a collision between the train and the foreign object without deformation and the train can run normally, the damage level of the foreign object to the train is primary damage; Z i = 2 indicates that when there is a collision between the train and the foreign object with deformation and the train can run normally, the damage level of the foreign object to the train is intermediate damage; Z i = 3 indicates that when there is a collision between the train and the foreign object with deformation and the train cannot run normally, the damage level of the foreign object to the train is advanced damage.

[0126] It is obtained that the damage level Z of the bird to the train i = 2, that is, intermediate damage.

[0127] The emergency plan activation module starts to work. Since the damage level is intermediate damage, the train driver sends the foreign object intrusion situation to the dispatching and monitoring center. The dispatching and monitoring center arranges for the train to be repaired at the nearest stop ahead according to the line operation situation.

[0128] The above describes the present invention and its implementation manners. This description is not restrictive. What is shown in the drawings is only one of the implementation manners of the present invention, and the actual structure is not limited thereto. Generally speaking, if those of ordinary skill in the art are inspired by it and design similar structural manners and embodiments without creative work without departing from the spirit of the present invention, they shall fall within the protection scope of the present invention.

Claims

1. A system for evaluating the damage degree of a foreign object collision during train operation, characterized in that: It includes a data acquisition module, a database module, a track monitoring module, a foreign object collision analysis module, a train monitoring analysis module, a train damage assessment module, and an emergency plan activation module; The data acquisition module is used to obtain the parameter data and operation data of the train; The database module is used to construct historical image data and foreign object mass data based on foreign objects invading the train; The track monitoring module is used to monitor whether there is a foreign object invasion and obtain the moving speed of the foreign object based on the train track network by using infrared monitoring equipment and a speed radar; The foreign object collision analysis module is used to analyze the impulse between the train and the foreign object based on the moving speed of the foreign object; The train monitoring analysis module is used to obtain the image of the train impact position after the train collides with the foreign object by using the pre-monitoring device on the train and analyze the actual collision area between the train and the foreign object; The train damage assessment module is used to determine the train damage level based on the actual collision area between the train and the foreign object; The emergency plan activation module is used to activate different emergency plans according to the train damage level; The output end of the data acquisition module is connected to the input end of the database module; the output end of the database module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the track monitoring module; the output end of the track monitoring module is connected to the input end of the foreign object collision analysis module; the output end of the foreign object collision analysis module is connected to the input end of the train monitoring analysis module; the output end of the train monitoring analysis module is connected to the input end of the train damage assessment module; the output end of the train damage assessment module is connected to the input end of the emergency plan activation module.

2. The foreign object collision damage degree evaluation system during train running according to claim 1, wherein: The specific process of the data acquisition module obtaining the parameter data and operation data of the train is as follows: Obtain the parameter data of the train through the train registration information, and the parameter data includes the top length, bottom length, width, height of the train head, and the angle between the train head and the location; Obtain the operation data of the train through the dispatching monitoring center database.

3. The foreign object collision damage degree evaluation system during train operation according to claim 2, wherein: The database module constructing the historical image data and foreign object mass data based on foreign objects invading the train includes: Build a foreign object detection database, where the data in the foreign object detection database includes historical image data and quality data of hail, gravel, flying birds, and land animals; denote the mass of the foreign object as m i ; Set the mass ranges of hail, gravel, flying birds, and land animals as [m1, m2], [m3, m4], [m5, m6], and [m7, m8] respectively according to the historical data; the mass unit is kilograms.

4. The foreign object collision damage degree evaluation system during train running according to claim 3, characterized in that: The specific process of the track monitoring module monitoring whether there is a foreign object invasion is as follows: Layout infrared monitoring equipment and speed radars at intervals of M meters on both sides of each train track according to the train track network; take each infrared monitoring equipment as the monitoring center and set the monitoring radius of the infrared monitoring equipment, denoted as R; When a foreign object intrudes into the monitoring range of the infrared monitoring device, use a speed measurement radar to obtain the moving speed of the foreign object, denoted as v0; obtain an image of the foreign object intruding into the monitoring range, perform grayscale processing on the image of the foreign object intruding into the monitoring range to generate a grayscale image of the foreign object intruding into the monitoring range; collect the number of pixels at the position of the foreign object in the grayscale image of the foreign object intruding into the monitoring range, denoted as P0; collect the actual area occupied by each pixel, denoted as S j ; Obtain the actual area of the foreign object, denoted as S 0j , S 0j = P0 * S j .

5. The foreign object collision damage degree evaluation system during train operation according to claim 4, wherein: The specific process of the foreign object collision analysis module analyzing the impulse between the train and the foreign object based on the moving speed of the foreign object is as follows: Denote the impact velocity of the foreign object on the train head as v 0k ; Denote the impulse of the foreign object on the train head as I0; Calculate according to the following formula: vN0 = v0 * cosθ + v k * sinθ; vT0 = v k *cosθ - v0*sinθ; I0 = m i * v 0k ; Among them, vN0 is the forward impact component of the foreign object on the train head; vT0 is the oblique impact component of the foreign object on the train head; m i is the mass of the foreign object.

6. The foreign object collision damage degree evaluation system during train operation according to claim 5, wherein: The specific process of the train monitoring analysis module obtaining the image of the train impact position after the train collides with the foreign object and analyzing the actual collision area between the train and the foreign object is as follows: Use the pre-monitoring device on the train to obtain the image of the train impact position after the train collides with the foreign object; perform gray-scale processing on the image of the train impact position after the train collides with the foreign object to generate a gray-scale image of the train impact position after the train collides with the foreign object; Collect the number of pixels at the location of the foreign object in the grayscale image after the train collides with the foreign object, denoted as P c ; Collect the actual area occupied by each pixel after the train collides with a foreign object, denoted as S h ; Obtain the actual collision area between the train and the foreign object, denoted as S ch , S ch = P c * S h .

7. The evaluation system for the damage degree of foreign object collision during train operation according to claim 6, wherein: The specific process of the train damage assessment module for determining the train damage level based on the actual collision area between the train and the foreign object is as follows: Set the reference value of the impulse that the train can withstand during driving, denoted as I max ; When the impulse between the train and the foreign object exceeds the reference value of the impulse that the train can withstand during operation, the intrusion ratio of the foreign object is analyzed based on the actual collision area between the train and the foreign object and the surface area of the train's head; record the intrusion ratio of the foreign object; Let the surface area of the train's nose be \(S\), and the intrusion ratio of foreign objects be \(\rho\); where, According to the formula: Among them, Z i = 1 indicates that when there is a collision between the train and the foreign object without deformation and the train can run normally, the damage level of the foreign object to the train is primary damage; Z i = 2 indicates that when there is a collision between the train and the foreign object with deformation and the train can run normally, the damage level of the foreign object to the train is intermediate damage; Z i = 3 indicates that when there is a collision between the train and the foreign object with deformation and the train cannot run normally, the damage level of the foreign object to the train is advanced damage.

8. The evaluation system for the damage degree of foreign object collision during train operation according to claim 7, characterized in that: The following different emergency plans are activated according to the train damage level: When the damage level of the foreign object to the train is primary damage, the train driver sends a request for reduced speed to the dispatching and monitoring center; When the damage level of the foreign object to the train is intermediate damage; the train driver sends the foreign object intrusion situation to the dispatching and monitoring center, and the dispatching and monitoring center arranges train maintenance work at the nearest upcoming stop according to the line operation situation; When the damage level of the foreign object to the train is advanced damage; the dispatching and monitoring center coordinates other trains running on this line, arranges on-board maintenance personnel to conduct inspections under the condition of ensuring safety, and arranges rescue vehicles to go there.

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