CN110954065A - Railway maintenance system based on image analysis and use method thereof - Google Patents
Railway maintenance system based on image analysis and use method thereof Download PDFInfo
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- CN110954065A CN110954065A CN201911219766.8A CN201911219766A CN110954065A CN 110954065 A CN110954065 A CN 110954065A CN 201911219766 A CN201911219766 A CN 201911219766A CN 110954065 A CN110954065 A CN 110954065A
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- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
Abstract
The invention discloses a railway maintenance system based on image analysis and a using method thereof, belonging to the field of railway maintenance, the railway maintenance system based on image analysis and the using method thereof can realize that in the process of normal railway maintenance, a remote sensing satellite moving on a space orbit can regularly shoot static image data for a railway, a processing terminal can analyze the area where natural disasters are likely to occur or have occurred through the change of the static image data within a period of time and timely inform a train main body running on the railway, a vehicle-mounted terminal rapidly carries out route planning and emits an unmanned aerial vehicle after receiving the notice of the processing terminal, shoots a target area to obtain dynamic images, and respectively transmits the dynamic images to the processing terminal and the vehicle-mounted terminal, and the processing terminal and the vehicle-mounted terminal determine whether to carry out emergency braking or lane changing on the train main body after analyzing, greatly reducing the possibility of traffic accidents caused by natural disasters of the train body.
Description
Technical Field
The invention relates to the field of railway maintenance, in particular to a railway maintenance system based on image analysis and a using method thereof.
Background
The railway maintenance mainly comprises two aspects of railway line maintenance and railway building maintenance, wherein the railway line maintenance is maintenance and maintenance operation performed on roadbeds, tracks and the like, and the railway building maintenance is maintenance and maintenance operation performed on railway bridges, tunnels, house buildings and the like. Railway lines and buildings generally account for about 60% of the value of fixed assets in railway transportation, and are indispensable technical equipment for railway transportation. All equipment should be kept in good condition constantly in order to ensure that the train operates safely at a prescribed speed.
Because the railway is long in laying line, most of the railway avoids crowd-dense areas and takes relatively remote areas, the maintenance of the railway line is relatively troublesome compared with the maintenance of railway buildings. The normal maintenance of the railway line is generally divided into two types, one is natural damage of the railway line caused by long-term work, and the other is damage of the railway caused by natural disasters.
The natural damage generated by long-time work is relatively high in regularity, maintenance personnel can estimate in advance, regular inspection through the maintenance personnel is carried out for maintenance, railway damage caused by natural disasters is high in accident, the maintenance personnel are difficult to estimate in advance, when the natural disasters which can harm the railway occur, traffic lines in a damaged area of the railway are extremely easy to damage, the maintenance personnel are difficult to go deep into the damaged railway for maintenance, even difficult to enter the damaged area of the railway for surveying the real-time state of the railway, and difficult to send timely and correct early warning to trains running on the railway in advance.
Disclosure of Invention
1. Technical problem to be solved
The invention aims to provide a railway maintenance system based on image analysis and a using method thereof, aiming at solving the problems in the prior art, and the system can realize the purposes of facilitating maintenance personnel to patrol and monitor a railway laying route, finding out railway damage caused by natural disasters in the railway laying route in time, sending corresponding information to a running train to emergently brake the train, avoiding the threat of secondary disasters caused by natural disasters to the normal running of the train and not easily inducing traffic accidents.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
The railway maintenance system based on image analysis comprises a processing terminal and a maintenance team, wherein the processing terminal is in signal connection with the maintenance team, the processing terminal is connected with a storage cloud end in a model, a remote sensing satellite is known from a storage cloud end signal, namely the processing terminal is in signal connection with the remote sensing satellite through the storage cloud end, the processing terminal is connected with a train main body, a vehicle-mounted terminal is carried in the train main body, the processing terminal is in signal connection with the train main body through the vehicle-mounted terminal, a plurality of unmanned aerial vehicles are carried in the train main body and are in signal connection with the vehicle-mounted terminal respectively, the vehicle-mounted terminal and the unmanned aerial vehicles are in signal connection with the storage cloud end respectively, patrol monitoring on a railway laying route by maintenance personnel can be conveniently realized, railway damage caused by natural disasters in the railway laying route can be found in time, and corresponding information can be sent to a running train, the train is emergently braked, so that the threat of secondary disasters caused by natural disasters on the normal operation of the train is avoided, and traffic accidents are not easily induced.
The railway maintenance system based on image analysis has the use method that:
s1, static imaging, wherein the remote sensing satellite can perform remote sensing imaging along the railway while moving in the space orbit, convert corresponding image data into digital signals, transmit the digital signals to a storage cloud end through wireless signals, and transmit the digital signals to a processing terminal through a storage cloud end;
s2, analyzing the static diagram, converting the digital signal transmitted by the storage cloud into image data by the processing terminal, analyzing the image data, finding out the possible or formed position of the natural disaster, and transmitting the data of the corresponding position to the vehicle-mounted terminal loaded on the train body;
s3, releasing by the unmanned aerial vehicle, taking a position possibly formed or formed by the train body according to the natural disaster transmitted by the processing terminal as a target area, calling a real-time map of the target area from the storage cloud end, planning a flight route of the unmanned aerial vehicle, releasing the unmanned aerial vehicle carried on the train body, and controlling the unmanned aerial vehicle to fly according to a pre-planned route;
s4, dynamic imaging, wherein the unmanned aerial vehicle flies to a disaster place under the control of the train body, takes a real-time dynamic image of a target area in a close range, and transmits corresponding image data to the vehicle-mounted terminal and the unmanned aerial vehicle respectively, wherein the unmanned aerial vehicle transmits the corresponding image data to the processing terminal after obtaining the corresponding image data;
s5, dynamic image analysis, wherein the vehicle-mounted terminal and the processing terminal can simultaneously analyze and process the dynamic images transmitted by the unmanned aerial vehicle, evaluate the disasters in a target area in a grading way, and issue a braking or lane changing command to the train body in advance according to the corresponding evaluation result;
s6, the unmanned aerial vehicle returns, and after the unmanned aerial vehicle shoots enough dynamic images, the vehicle-mounted terminal controls the unmanned aerial vehicle to return;
s7, maintaining the railway, and under the condition that the field condition allows, the processing terminal reasonably plans a foreground route going to a target area for a maintenance team according to the static image data shot by the remote sensing satellite and the dynamic image data shot by the unmanned aerial vehicle, and provides navigation support for the maintenance team in real time.
In the process of normal maintenance of a railway, a remote sensing satellite moving on a space orbit can shoot static image data for the railway at regular time, a processing terminal can analyze the area where a natural disaster possibly occurs or occurs through the change of the static image data within a period of time and timely inform a train main body running on the railway, a vehicle-mounted terminal carried on the train main body emits an unmanned aerial vehicle at the first time after receiving the notice of the processing terminal after route planning, the target area is shot on the spot to obtain a dynamic image of the target area, the dynamic image is respectively transmitted to the processing terminal and the vehicle-mounted terminal, and after the processing terminal and the vehicle-mounted terminal analyze the dynamic image, whether the train main body is braked or switched urgently is determined, so that the possibility that the train main body has a traffic accident due to the natural disaster is greatly reduced.
Furthermore, in the S1 static imaging, the remote sensing satellite carries out remote sensing imaging on the railway line at regular time when the space orbit runs, image data obtained at regular time are transmitted to the storage cloud end and stored by the storage cloud end, enough image analysis data are stored for the subsequent S2 static diagram analysis, and the accuracy of S2 static diagram analysis is improved.
Further, in the S2 static graph analysis, the processing terminal may analyze the image data stored in the storage cloud within a period of time, and obtain a corresponding image analysis result through analysis of changes of the image stored in the storage cloud, thereby improving the accuracy of the S2 static graph analysis.
Further, during S3 unmanned aerial vehicle emits, at the in-process that unmanned aerial vehicle flies, vehicle mounted terminal will last constantly interior from the storage cloud end obtain the real-time map of target area, for unmanned aerial vehicle 'S flight route carries out real-time planning, shortens unmanned aerial vehicle' S flying distance and flight time, the dynamic image data of passback as early as possible.
Further, in S6 unmanned aerial vehicle returns, vehicle mounted terminal navigates for unmanned aerial vehicle according to the train main part that the remote sensing satellite obtained and unmanned aerial vehicle 'S real-time position, revises unmanned aerial vehicle' S flight path in real time, makes unmanned aerial vehicle in time fly back, is difficult for causing unmanned aerial vehicle to lose.
Further, unmanned aerial vehicle includes the unmanned aerial vehicle main part, four linking arms of fixedly connected with, four on the lateral wall of unmanned aerial vehicle main part one section equal fixedly connected with unmanned aerial vehicle rotor device of unmanned aerial vehicle main part is kept away from to the linking arm, the line segment fixedly connected with unmanned aerial vehicle cloud platform of unmanned aerial vehicle main part, the last camera device that carries of unmanned aerial vehicle cloud platform, unmanned aerial vehicle utilize camera device to shoot the dynamic image of target area.
Further, two are adjacent be connected with annular spring piece between the unmanned aerial vehicle rotor device, annular spring piece adopts elastic metal to make, and annular spring piece can protect linking arm and unmanned aerial vehicle rotor device, and when unmanned aerial vehicle flies in the complex environment, when bumping with the foreign object, it contacts the foreign object to be curved annular spring piece back earlier, reduces unmanned aerial vehicle and the vibration that the anti-impact of foreign object produced by a wide margin through self deformation simultaneously.
Further, fixedly connected with unmanned aerial vehicle cloud platform safety cover on the lateral wall of unmanned aerial vehicle main part, and unmanned aerial vehicle cloud platform safety cover is located the downside of linking arm, unmanned aerial vehicle cloud platform safety cover chooses for use transparent ya keli board to make, and unmanned aerial vehicle cloud platform safety cover can protect unmanned aerial vehicle cloud platform and image device under the prerequisite that does not influence image device normal work, makes unmanned aerial vehicle cloud platform and image device difficult and take place to damage with foreign object striking.
Further, one section fixedly connected with landing blotter that unmanned aerial vehicle main part was kept away from to unmanned aerial vehicle cloud platform safety cover, it has the cavity to open in the landing blotter, the cavity intussuseption is filled with a plurality of elastic balls, and landing blotter, cavity and elastic ball can reduce the impact between unmanned aerial vehicle self and the train main part by a wide margin at unmanned aerial vehicle descending in-process, make unmanned aerial vehicle not fragile.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
in the scheme, in the process of normal maintenance of a railway, a remote sensing satellite moving on a space track can shoot static image data for the railway at regular time, a processing terminal can analyze the area where a natural disaster possibly occurs or occurs through the change of the static image data within a period of time and timely inform a train main body running on the railway, after the vehicle-mounted terminal carried on the train main body receives the notice of the processing terminal, an unmanned aerial vehicle is released at the first time after route planning, the target area is shot on the spot to obtain a dynamic image of the target area, the dynamic image is respectively transmitted to the processing terminal and the vehicle-mounted terminal, and after the analysis of the processing terminal and the vehicle-mounted terminal, whether emergency braking or lane changing is carried out on the train main body is determined, so that the possibility of traffic accidents of the train main body due to the natural disaster is greatly reduced.
Drawings
FIG. 1 is a schematic diagram of the main structure of the maintenance system of the present invention;
FIG. 2 is a principal flow chart of the maintenance system of the present invention in operation;
fig. 3 is a schematic structural diagram of the drone of the present invention;
fig. 4 is a front cross-sectional view of the drone of the present invention;
fig. 5 is a schematic view of the structure at a in fig. 4.
The reference numbers in the figures illustrate:
1 processing terminal, 2 storage high in the clouds, 3 remote sensing satellites, 4 train main parts, 5 vehicle-mounted terminal, 6 unmanned aerial vehicle, 7 maintenance teams, 8 unmanned aerial vehicle main parts, 9 linking arms, 10 unmanned aerial vehicle rotor devices, 11 ring spring pieces, 12 unmanned aerial vehicle cloud platform, 13 image device, 14 unmanned aerial vehicle cloud platform safety covers, 15 landing blotters, 16 cavitys, 17 elastic balls.
Detailed Description
The drawings in the embodiments of the invention will be combined; the technical scheme in the embodiment of the invention is clearly and completely described; obviously; the described embodiments are only some of the embodiments of the invention; but not all embodiments, are based on the embodiments of the invention; all other embodiments obtained by a person skilled in the art without making any inventive step; all fall within the scope of protection of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1, the railway maintenance system based on image analysis and the using method thereof are disclosed, the railway maintenance system based on image analysis and the using method thereof comprise a processing terminal 1 and a maintenance team 7, the processing terminal 1 is in signal connection with the maintenance team 7, the processing terminal 1 is connected with a storage cloud end 2 in a model, the remote sensing satellite 3 is known by the storage cloud end 2 through signals, namely the processing terminal 1 is in signal connection with the remote sensing satellite 3 through the storage cloud end 2, the processing terminal 1 is connected with a train body 4, a vehicle-mounted terminal 5 is carried in the train body 4, the processing terminal 1 is in signal connection with the train body 4 through the vehicle-mounted terminal 5, a plurality of unmanned aerial vehicles 6 are carried in the train body 4, the unmanned aerial vehicles 6 are in signal connection with the vehicle-mounted terminal 5 respectively, and the vehicle-mounted terminal 5 and the unmanned aerial vehicles 6.
The railway system can be used for facilitating maintenance personnel to patrol and monitor the railway laying route, timely finding railway damage caused by natural disasters in the railway laying route, and sending corresponding information to a running train to emergently brake the train, so that the threat of secondary disasters caused by natural disasters to the normal running of the train is avoided, and traffic accidents are not easily caused.
Referring to fig. 2, the railway maintenance system based on image analysis and the method of using the same are as follows:
s1, static imaging, wherein the remote sensing satellite 3 can perform remote sensing imaging along the railway while moving in the space orbit, corresponding image data are converted into digital signals and transmitted to the storage cloud end 2 through wireless signals, the storage cloud end 2 transmits the digital signals to the processing terminal 1, the remote sensing satellite 3 can perform remote sensing imaging along the railway when the space orbit runs, the image data obtained at regular time is transmitted to the storage cloud end 2 and stored by the storage cloud end 2, enough image analysis data are stored for subsequent S2 static image analysis, and the accuracy of S2 static image analysis is improved;
s2, static image analysis, the processing terminal 1 converts the digital signals transmitted by the storage cloud end 2 into image data, analyzes the image data, finds out the positions where natural disasters may or have formed, transmits the data of the corresponding positions to the vehicle-mounted terminal 5 loaded on the train main body 4, the processing terminal 1 can analyze the image data in a period of time stored by the storage cloud end 2, obtains the corresponding image analysis result through the change analysis of the images stored in the storage cloud end 2, and improves the accuracy of the static image analysis of S2;
s3, the unmanned aerial vehicle emits, the train main body 4 takes a possible formed or formed position of the natural disaster transmitted by the processing terminal 1 as a target area, a real-time map of the target area is retrieved from the storage cloud end 2, the flight route of the unmanned aerial vehicle 6 is planned, then the unmanned aerial vehicle 6 carried on the train main body 4 is emitted, the unmanned aerial vehicle 6 is controlled to fly according to a pre-planned route, in the process of flying the unmanned aerial vehicle 6, the vehicle-mounted terminal 5 continuously acquires the real-time map of the target area from the storage cloud end 2, the flight route of the unmanned aerial vehicle 6 is planned in real time, the flying distance and flying time of the unmanned aerial vehicle 6 are shortened, and dynamic image data are returned as soon as possible;
s4, dynamic imaging, wherein the unmanned aerial vehicle 6 flies to a disaster place under the control of the train body 4, takes a real-time dynamic image of a target area in a close range, and transmits corresponding image data to the vehicle-mounted terminal 5 and the unmanned aerial vehicle 6 respectively, wherein the unmanned aerial vehicle 6 obtains the corresponding image data and then forwards the corresponding image data to the processing terminal 1;
s5, dynamic image analysis, the vehicle-mounted terminal 5 and the processing terminal 1 can simultaneously analyze and process the dynamic images transmitted by the unmanned aerial vehicle 6, carry out grading evaluation on disasters in a target area, and issue a braking or lane changing command to the train body 4 in advance according to a corresponding evaluation result;
s6, the unmanned aerial vehicle returns, after the unmanned aerial vehicle 6 shoots enough dynamic images, the vehicle-mounted terminal 5 controls the unmanned aerial vehicle 6 to return, the vehicle-mounted terminal 5 navigates the unmanned aerial vehicle 6 according to the real-time positions of the train body 4 and the unmanned aerial vehicle 6 acquired by the remote sensing satellite 3, and the flight path of the unmanned aerial vehicle 6 is corrected in real time, so that the unmanned aerial vehicle 6 can return in time, and the unmanned aerial vehicle 6 is not easy to lose;
s7, maintaining the railway, and under the condition that the field condition allows, the processing terminal 1 reasonably plans a foreground route going to a target area for the maintenance team 7 according to the static image data shot by the remote sensing satellite 3 and the dynamic image data shot by the unmanned aerial vehicle 6, and provides navigation support for the maintenance team 7 in real time.
In the process of normal maintenance of the railway, the remote sensing satellite 3 moving on the space orbit can shoot static image data for the railway at regular time, the processing terminal 1 can analyze the possible or occurred area of the natural disaster through the change of the static image data in a period of time, and timely informing a train body 4 running on a railway, after receiving the notice of the processing terminal 1 and performing route planning, a vehicle-mounted terminal 5 carried on the train body 4 releases the unmanned aerial vehicle at the first time, shooting the target area in real time, acquiring a dynamic image of the target area, respectively transmitting the dynamic image to the processing terminal 1 and the vehicle-mounted terminal 5, analyzing by the processing terminal 1 and the vehicle-mounted terminal 5, and then determines whether to perform emergency braking or lane change on the train body 4, thereby greatly reducing the possibility of traffic accidents caused by natural disasters of the train body 4.
Referring to fig. 3-5, an unmanned aerial vehicle 6 includes an unmanned aerial vehicle main body 8, four connecting arms 9 are fixedly connected to a side wall of the unmanned aerial vehicle main body 8, a section of each of the four connecting arms 9 away from the unmanned aerial vehicle main body 8 is fixedly connected with an unmanned aerial vehicle rotor device 10, a line section of the unmanned aerial vehicle main body 8 is fixedly connected with an unmanned aerial vehicle holder 12, an imaging device 13 is mounted on the unmanned aerial vehicle holder 12, the unmanned aerial vehicle 6 uses the imaging device 13 to shoot a dynamic image of a target area, an annular spring leaf 11 is connected between two adjacent unmanned aerial vehicle rotor devices 10, the annular spring leaf 11 is made of elastic metal, the connecting arms 9 and the unmanned aerial vehicle rotor devices 10 can be protected by the annular spring leaf 11, when the unmanned aerial vehicle 6 flies in a complex environment and collides with a foreign object, the arc-shaped annular spring leaf 11 contacts the foreign object again, an unmanned aerial vehicle holder protective cover 14 is fixedly connected to the side wall of the unmanned aerial vehicle main body 8, the unmanned aerial vehicle holder protective cover 14 is located on the lower side of the connecting arm 9, the unmanned aerial vehicle holder protective cover 14 is made of a transparent acrylic plate, the unmanned aerial vehicle holder protective cover 14 can protect the unmanned aerial vehicle holder 12 and the imaging device 13 on the premise of not influencing the normal work of the imaging device 13, so that the unmanned aerial vehicle holder 12 and the imaging device 13 are not easy to collide with foreign objects to damage, a landing cushion pad 15 is fixedly connected to a section of the unmanned aerial vehicle holder protective cover 14 away from the unmanned aerial vehicle main body 8, a cavity 16 is formed in the landing cushion pad 15, a plurality of elastic balls 17 are filled in the cavity 16, the impact between the unmanned aerial vehicle 6 and the train main body 4 can be greatly reduced during the landing process of the unmanned aerial vehicle 6, and the, when 6 return and descend in train main part 4 at unmanned aerial vehicle, vehicle mounted terminal 5 need descend according to the speed per hour of the motion of train main part 4 and direction and adjust 6 descending of unmanned aerial vehicle when train main part 4 still is in the motion state, makes 6 easy steady descents of unmanned aerial vehicle, and accidents such as rolling appear when being difficult for descending on train main part 4 are difficult for causing 6 damages of unmanned aerial vehicle.
The above; but are merely preferred embodiments of the invention; the scope of the invention is not limited thereto; any person skilled in the art is within the technical scope of the present disclosure; the technical scheme and the improved concept of the invention are equally replaced or changed; are intended to be covered by the scope of the present invention.
Claims (10)
1. Railway maintenance system based on image analysis, including processing terminal (1) and maintenance team (7), and processing terminal (1) and maintenance team (7) between signal connection, its characterized in that: processing terminal (1) model is connected with storage high in the clouds (2), there is remote sensing satellite (3) in the understanding of storage high in the clouds (2) signal, through storage high in the clouds (2) signal connection between processing terminal (1) and remote sensing satellite (3), processing terminal (1) is connected with train main part (4), carry on vehicle mounted terminal (5) in train main part (4), and through vehicle mounted terminal (5) signal connection between processing terminal (1) and train main part (4), it has a plurality of unmanned aerial vehicle (6), a plurality of to take in train main part (4) unmanned aerial vehicle (6) respectively with vehicle mounted terminal (5) signal connection, vehicle mounted terminal (5) and a plurality of unmanned aerial vehicle (6) respectively with storage high in the clouds (2) signal connection.
2. The image analysis based railroad maintenance system of claim 1, wherein: the using method comprises the following steps:
s1, static imaging, wherein the remote sensing satellite (3) can perform remote sensing imaging along the railway while moving in the space orbit, convert corresponding image data into digital signals, transmit the digital signals to the storage cloud end (2) through wireless signals, and transmit the digital signals to the processing terminal (1) through the storage cloud end (2);
s2, static diagram analysis, wherein the processing terminal (1) converts the digital signals transmitted by the storage cloud end (2) into image data, analyzes the image data, finds out the possible or formed position of the natural disaster, and transmits the data of the corresponding position to the vehicle-mounted terminal (5) loaded on the train body (4);
s3, releasing by an unmanned aerial vehicle, taking a position possibly formed or formed by the natural disaster transmitted by the processing terminal (1) as a target area by the train main body (4), calling a real-time map of the target area from the storage cloud (2), planning a flight route of the unmanned aerial vehicle (6), releasing the unmanned aerial vehicle (6) carried on the train main body (4), and controlling the unmanned aerial vehicle (6) to fly according to the planned route;
s4, dynamic imaging, wherein the unmanned aerial vehicle (6) flies to a disaster place under the control of the train body (4), takes a real-time dynamic image of a target area in a close range, and transmits corresponding image data to the vehicle-mounted terminal (5) and the unmanned aerial vehicle (6) respectively, wherein the unmanned aerial vehicle (6) forwards the corresponding image data to the processing terminal (1) after obtaining the corresponding image data;
s5, dynamic image analysis, wherein the vehicle-mounted terminal (5) and the processing terminal (1) can simultaneously analyze and process the dynamic images transmitted by the unmanned aerial vehicle (6), evaluate disasters in a target area in a grading way, and issue a braking or lane changing command to the train body (4) in advance according to the corresponding evaluation result;
s6, the unmanned aerial vehicle returns, and after the unmanned aerial vehicle (6) shoots enough dynamic images, the vehicle-mounted terminal (5) controls the unmanned aerial vehicle (6) to return;
s7, maintaining the railway, and under the condition that the field condition allows, the processing terminal (1) reasonably plans a foreground route going to a target area for the maintenance team (7) according to the static image data shot by the remote sensing satellite (3) and the dynamic image data shot by the unmanned aerial vehicle (6) and provides navigation support for the maintenance team (7) in real time.
3. The image analysis based railroad maintenance system of claim 2, wherein: in the S1 static imaging, the remote sensing satellite (3) can perform remote sensing imaging on the railway line at regular time when the space orbit runs, and image data acquired at regular time is transmitted to the storage cloud end (2) and stored by the storage cloud end (2).
4. The image analysis based railroad maintenance system of claim 2, wherein: in the S2 static map analysis, the processing terminal (1) may perform analysis according to the image data stored in the storage cloud (2) over a period of time.
5. The image analysis based railroad maintenance system of claim 2, wherein: during S3 unmanned aerial vehicle emits, in the process of unmanned aerial vehicle (6) flight, vehicle mounted terminal (5) will be continuously from the real-time map of the acquisition target area on storage high in the clouds (2), carry out real-time planning for the flight route of unmanned aerial vehicle (6).
6. The image analysis based railroad maintenance system of claim 2, wherein: in the return process of the S6 unmanned aerial vehicle, the vehicle-mounted terminal (5) navigates the unmanned aerial vehicle (6) according to the real-time positions of the train main body (4) and the unmanned aerial vehicle (6) acquired by the remote sensing satellite (3), and corrects the flight path of the unmanned aerial vehicle (6) in real time.
7. The image analysis based railroad maintenance system of claim 1, wherein: unmanned aerial vehicle (6) are including unmanned aerial vehicle main part (8), four linking arms (9) of fixedly connected with on the lateral wall of unmanned aerial vehicle main part (8), four one section equal fixedly connected with unmanned aerial vehicle rotor device (10) of unmanned aerial vehicle main part (8) are kept away from in linking arm (9), the line segment fixedly connected with unmanned aerial vehicle cloud platform (12) of unmanned aerial vehicle main part (8), it has imaging device (13) to carry on unmanned aerial vehicle cloud platform (12).
8. The image analysis based railroad maintenance system of claim 7, wherein: two adjacent be connected with annular spring piece (11) between unmanned aerial vehicle rotor device (10), annular spring piece (11) adopt elastic metal to make.
9. The image analysis based railroad maintenance system of claim 7, wherein: fixedly connected with unmanned aerial vehicle cloud platform safety cover (14) on the lateral wall of unmanned aerial vehicle main part (8), and unmanned aerial vehicle cloud platform safety cover (14) are located the downside of linking arm (9), unmanned aerial vehicle cloud platform safety cover (14) select for use transparent ya keli board to make.
10. The image analysis based railroad maintenance system of claim 9, wherein: unmanned aerial vehicle cloud platform safety cover (14) keep away from one section fixedly connected with landing blotter (15) of unmanned aerial vehicle main part (8), it has cavity (16) to open a chisel in landing blotter (15), cavity (16) intussuseption is filled with a plurality of elastic balls (17).
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Application publication date: 20200403 |