CN107123120A - A kind of unmanned plane railroad track defect recognition system and recognition methods - Google Patents
A kind of unmanned plane railroad track defect recognition system and recognition methods Download PDFInfo
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- CN107123120A CN107123120A CN201710289526.XA CN201710289526A CN107123120A CN 107123120 A CN107123120 A CN 107123120A CN 201710289526 A CN201710289526 A CN 201710289526A CN 107123120 A CN107123120 A CN 107123120A
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- 230000007547 defect Effects 0.000 title abstract description 23
- 238000000034 method Methods 0.000 title abstract description 22
- 238000007689 inspection Methods 0.000 abstract description 30
- 238000004891 communication Methods 0.000 abstract description 15
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 abstract description 8
- 238000012545 processing Methods 0.000 abstract description 7
- 238000012360 testing method Methods 0.000 abstract description 6
- 230000006835 compression Effects 0.000 abstract description 5
- 238000007906 compression Methods 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000012372 quality testing Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 14
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 229910052742 iron Inorganic materials 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 241001669679 Eleotris Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
- B61L23/04—Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
- B61L23/042—Track changes detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30184—Infrastructure
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a kind of unmanned plane railroad track defect recognition system and recognition methods, it is related to unmanned air vehicle technique field, including intelligent patrol detection unmanned plane and earth station, the intelligent patrol detection unmanned plane includes the flight control system being arranged in unmanned plane body, flight control system is connected with data communication module one, IMAQ compression module and navigation module, the earth station includes command centre's console, command centre's console is embedded with central processing unit, central processing unit is connected with decoding display module, image-capture identification module, case study logging modle and data communication module two, the inspection device of the present invention carries out inspection using unmanned plane to railway, improve routing inspection efficiency, reduce the inspection dynamics of staff, using intelligent identification technology, improve the high efficiency of quality testing, test results report can also be generated simultaneously, Technical Reference is provided for administrative staff, man-hour is saved.
Description
Technical field
The present invention relates to unmanned air vehicle technique field, and in particular to a kind of unmanned plane railroad track defect recognition system and one kind
The recognition methods of unmanned plane railroad track defect recognition system.
Background technology
Railway line inspection is the groundwork of railway line regular maintenance, and common routine inspection mode includes manual inspection, manned
Helicopter routing inspection and unmanned plane inspection.Although manual inspection is the most frequently used routine inspection mode, exist always efficiency it is relatively slow,
The deficiencies such as climate geographical environment restriction.
The utilization of unmanned air vehicle technique, can be good at completing electric inspection process and construction plan task, continuous with technology
Ripe and optimization, unmanned plane patrolling railway also will progressively obtain accreditation and the large-scale application of railway enterprise.
Chinese Patent Application No. is that CN201610765634.5 discloses a kind of railway line inspection monitoring based on unmanned plane
System and method for inspecting, including unmanned plane body, loudspeaker and earth station；Control process unit, control are provided with unmanned plane body
The input of processing unit processed and barometertic altimeter, laser range finder, IMU modules, GPS module, visible image capturing head, receiver
Be connected with the first power module, the output end of control process unit and voice module, image storage module, the first figure conduct electricity platform and
Servomotor drive circuit is connected, control process unit and the first data radio station bi-directional transfer of data, and loudspeaker is tied by machinery
Structure is arranged on below unmanned plane body；Earth station includes remote control, ground monitoring computer, is connected with ground monitoring computer
First display, second display, the second data radio station and the second figure conduct electricity platform.This kind of railway line inspection monitoring system can expire
The need for the extensive unmanned plane inspection of foot, routing inspection efficiency is improved, the optimal inspection planning in big region is realized.But this kind of railway
What cruising inspection system was used is still manual identified rail defect, and recognition efficiency is low, and expends a large amount of manpowers.
Chinese Patent Application No. is that CN 201510241271.0 discloses a kind of unmanned plane cruising inspection system, wherein, ground control
Terminal processed can be by relaying helicopter and carrying out the task helicopter progress two-way communication of inspection operation, and then realizes view data
The function such as transmission and the flight of task helicopter control, substantially increases the flight command range of unmanned plane, while of the invention
80cc engine powers are not enough, load capacity is less than normal and the life-span is short because being solved using 126cc water-cooled engines for technical scheme
Fall into, and a 200W generators and rectification filtering module are installed additional with reference to automobile generating principle, solve to a certain extent airborne
Power issue needed for equipment.But this kind of unmanned plane cruising inspection system solve only engine problem, and prior art is not solved
The intelligent decision problem of rail defect during middle patrolling railway, it is impossible to set to railway roadbed, sleeper, rail, connected component, anti-creep
Some defects and problem points of standby and track switch etc. carry out automatic identification.
The content of the invention
It is existing to solve it is an object of the invention to provide a kind of unmanned plane railroad track defect recognition system and recognition methods
Above-mentioned multinomial defect caused by having in technology.
A kind of unmanned plane railroad track defect recognition system and recognition methods, including
Intelligent patrol detection unmanned plane：Including the flight control system being arranged in unmanned plane body, flight control system is connected with data and led to
Believe module one, IMAQ compression module and navigation module, described image acquisition module is used to gather the iron that unmanned plane is photographed
The image collected is simultaneously compressed transcoding by rail road image information, and the navigation module is used to provide navigation for flight control system
Route data；
Earth station：Including command centre's console, command centre's console is embedded with central processing unit, center processing
Device is connected with decoding display module, image-capture identification module, case study logging modle and data communication module two, the number
According to communication module two and the wireless connection of data communication module one, decoding display module, image-capture identification module, case study note
Record module is sequentially connected.
It is preferred that, described problem analysis logging modle is embedded with analysis module and the data for the accident defect data that are stored with
Storehouse, analysis module is connected with database, and analysis module is used to analyze and process decoded image information, is identified it and is lacked
Fall into type and achieve.
It is preferred that, described problem analysis logging modle is also associated with image archiving system, and described image filing system passes through
Microprocessor built in it carries out voluntarily sorting out and naming to inspection image information.
It is preferred that, the analysis module is also associated with report generation module, generates test results report.
It is preferred that, the data communication module one and data communication module two use 4G transport modules.
A kind of recognition methods of unmanned plane railroad track defect recognition system, comprises the following steps：
(1) staff's control unmanned plane of earth station flies to target area to carry out inspection, and is compressed by IMAQ
Module carries out data acquisition, and the image collected is compressed transcoding, utilizes data communication module by IMAQ compression module
Data after transcoding are wirelessly transmitted to earth station by one；
(2) the 4G view data transmitted is decoded and shown at PC ends, image by earth station's decoding display module
Crawl identification module, which is used to the image information of collection is identified, sorts out and reaches case study logging modle, case study note
Record module is used to analyze and process decoded image information by the analysis module built in it, identifies its defect class
Type is simultaneously achieved；
(3) image archiving system carries out voluntarily sorting out and naming by the microprocessor built in it to inspection image information,
Again by report generation module, test results report is generated.
The advantage of the invention is that：
1. compared to traditional artificial inspection on the spot, improve the operating efficiency of staff.
2. using unmanned plane inspection, the dynamics of staff's cruising is reduced.
3. using intelligent identification technology, the high efficiency of quality testing is improved, while test results report can also be generated,
Technical Reference is provided for administrative staff, man-hour has been saved.
4. improve the Personal Safety of staff.
Brief description of the drawings
Fig. 1 is the theory diagram of unmanned plane railroad track defect recognition system in the present invention.
Fig. 2 is the theory diagram of intelligent patrol detection unmanned plane in the present invention.
Fig. 3 is the theory diagram of earth station in the present invention.
Fig. 4 is the theory diagram of the recognition methods of unmanned plane railroad track defect recognition system in the present invention.
Embodiment
To be easy to understand the technical means, the inventive features, the objects and the advantages of the present invention, with reference to
Embodiment, is expanded on further the present invention.
As shown in Figures 1 to 4, a kind of unmanned plane railroad track defect recognition system and recognition methods, including
Intelligent patrol detection unmanned plane：Including the flight control system being arranged in unmanned plane body, flight control system is connected with data and led to
Believe module one, IMAQ compression module and navigation module, described image acquisition module is used to gather the iron that unmanned plane is photographed
The image collected is simultaneously compressed transcoding by rail road image information, and the navigation module is used to provide navigation for flight control system
Route data；
Earth station：Including command centre's console, command centre's console is embedded with central processing unit, center processing
Device is connected with decoding display module, image-capture identification module, case study logging modle and data communication module two, the number
According to communication module two and the wireless connection of data communication module one, decoding display module, image-capture identification module, case study note
Record module is sequentially connected.
In the present embodiment, described problem analysis logging modle is embedded with analysis module and the accident defect number that is stored with
According to database, analysis module is connected with database, and analysis module is used to analyze and process decoded image information, distinguishes
Do not go out its defect type and achieve.
In the present embodiment, described problem analysis logging modle is also associated with image archiving system, described image filing system
System carries out voluntarily sorting out and naming by the microprocessor built in it to inspection image information, such as, belongs to the iron of certain defect
Which rail has, and how much is coordinate, and carries out intensity grade classification according to defect level.
In the present embodiment, the analysis module is also associated with report generation module, generates test results report, for management
Personnel provide Technical Reference, have saved man-hour.
In the present embodiment, the data communication module one and data communication module two use 4G transport modules, transmission
Speed is fast, and signal is also relatively stable, improves the ageing of inspection.
The invention also discloses the recognition methods of above-mentioned unmanned plane railroad track defect recognition system, especially by following step
It is rapid to carry out：
(1) staff's control unmanned plane of earth station flies to target area to carry out inspection, and is compressed by IMAQ
Module carries out data acquisition, and the image collected is compressed transcoding, utilizes data communication module by IMAQ compression module
Data after transcoding are wirelessly transmitted to earth station by one；
(2) the 4G view data transmitted is decoded and shown at PC ends, image by earth station's decoding display module
Crawl identification module, which is used to the image information of collection is identified, sorts out and reaches case study logging modle, case study note
Record module is used to analyze and process decoded image information by the analysis module built in it, identifies its defect type
And achieve；
(3) image archiving system carries out voluntarily sorting out and naming by the microprocessor built in it to inspection image information,
Again by report generation module, test results report is generated.
As known by the technical knowledge, the present invention can be by the embodiment party of other essence or essential feature without departing from its spirit
Case is realized.Therefore, embodiment disclosed above, for each side, is all merely illustrative, and is not only.Institute
Have within the scope of the present invention or be included in the invention in the change being equal in the scope of the present invention.
Claims (6)
1. a kind of unmanned plane railroad track defect recognition system, it is characterised in that including
Intelligent patrol detection unmanned plane：Including the flight control system being arranged in unmanned plane body, flight control system is connected with data communication mould
Block one, IMAQ compression module and navigation module, described image acquisition module are used to gather the rail that unmanned plane is photographed
The image collected is simultaneously compressed transcoding by road image information, and the navigation module is used to provide navigation way for flight control system
Data；
Earth station：Including command centre's console, command centre's console is embedded with central processing unit, and central processing unit connects
Decoding display module, image-capture identification module, case study logging modle and data communication module two are connected to, the data are led to
Believe module two and the wireless connection of data communication module one, decoding display module, image-capture identification module, case study record mould
Block is sequentially connected.
2. a kind of unmanned plane railroad track defect recognition system according to claim 1, it is characterised in that：Described problem point
New record module is embedded with analysis module and the database of accident defect data that is stored with, and analysis module is connected with database,
Analysis module is used to analyze and process decoded image information, identifies its defect type and achieves.
3. a kind of unmanned plane railroad track defect recognition system according to claim 2 and recognition methods, it is characterised in that：
Described problem analysis logging modle is also associated with image archiving system, and described image filing system passes through the microprocessor built in it
Inspection image information is carried out voluntarily to sort out and name.
4. a kind of unmanned plane railroad track defect recognition system according to claim 3 and recognition methods, it is characterised in that：
The analysis module is also associated with report generation module, generates test results report.
5. a kind of unmanned plane railroad track defect recognition system according to claim 1 and recognition methods, it is characterised in that：
The data communication module one and data communication module two use 4G transport modules.
6. a kind of recognition methods of unmanned plane railroad track defect recognition system according to claim 4, it is characterised in that
Comprise the following steps：
(1) staff's control unmanned plane of earth station flies to target area to carry out inspection, and passes through IMAQ compression module
Data acquisition is carried out, the image collected is compressed transcoding by IMAQ compression module, will using data communication module one
Data after transcoding are wirelessly transmitted to earth station；
(2) the 4G view data transmitted is decoded and shown at PC ends, image-capture by earth station's decoding display module
Identification module, which is used to the image information of collection is identified, sorts out and reaches case study logging modle, case study record mould
Block is used to analyze and process decoded image information by the analysis module built in it, identifies its defect type and deposits
Shelves；
(3) image archiving system carries out voluntarily sorting out and naming by the microprocessor built in it to inspection image information, then leads to
Report generation module is crossed, test results report is generated.
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| Application Number | Priority Date | Filing Date | Title |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107908163A (en) * | 2017-11-15 | 2018-04-13 | 广东容祺智能科技有限公司 | A kind of unmanned plane Reconnaissance system based on unmanned naval vessels |
| CN108284855A (en) * | 2017-12-27 | 2018-07-17 | 河南辉煌信通软件有限公司 | A kind of rail polling system based on unmanned plane |
| CN109677445A (en) * | 2017-10-18 | 2019-04-26 | 勃姆巴迪尔运输有限公司 | Rail vehicle and on-vehicle safety unmanned plane |
| CN111605578A (en) * | 2020-05-21 | 2020-09-01 | 哈尔滨市科佳通用机电股份有限公司 | A railway track inspection method using drones to carry 3D equipment |
| CN111741113A (en) * | 2020-06-23 | 2020-10-02 | 上海铁维物联网科技有限公司 | Railway intelligent information management system |
| CN112311958A (en) * | 2020-10-19 | 2021-02-02 | 浙江互灵科技有限公司 | Base station and method for transmitting and processing images at ultra-long distance |
| CN113433963A (en) * | 2021-07-15 | 2021-09-24 | 江西理工大学 | Unmanned aerial vehicle multi-platform system and method for magnetic suspension track inspection |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105501248A (en) * | 2016-02-16 | 2016-04-20 | 株洲时代电子技术有限公司 | Railway line inspection system |
| CN106162089A (en) * | 2016-07-26 | 2016-11-23 | 广东容祺智能科技有限公司 | A kind of power-line patrolling image automatic identification analyzes system and the method for analysis thereof |
| CN205901897U (en) * | 2016-08-08 | 2017-01-18 | 安徽钰龙信息科技有限公司 | Image recognition system based on on -vehicle unmanned aerial vehicle removes to control and surpasses station |
-
2017
- 2017-04-27 CN CN201710289526.XA patent/CN107123120A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105501248A (en) * | 2016-02-16 | 2016-04-20 | 株洲时代电子技术有限公司 | Railway line inspection system |
| CN106162089A (en) * | 2016-07-26 | 2016-11-23 | 广东容祺智能科技有限公司 | A kind of power-line patrolling image automatic identification analyzes system and the method for analysis thereof |
| CN205901897U (en) * | 2016-08-08 | 2017-01-18 | 安徽钰龙信息科技有限公司 | Image recognition system based on on -vehicle unmanned aerial vehicle removes to control and surpasses station |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109677445A (en) * | 2017-10-18 | 2019-04-26 | 勃姆巴迪尔运输有限公司 | Rail vehicle and on-vehicle safety unmanned plane |
| CN109677445B (en) * | 2017-10-18 | 2021-08-27 | 勃姆巴迪尔运输有限公司 | Method of operating an unmanned aerial vehicle |
| CN107908163A (en) * | 2017-11-15 | 2018-04-13 | 广东容祺智能科技有限公司 | A kind of unmanned plane Reconnaissance system based on unmanned naval vessels |
| CN108284855A (en) * | 2017-12-27 | 2018-07-17 | 河南辉煌信通软件有限公司 | A kind of rail polling system based on unmanned plane |
| CN111605578A (en) * | 2020-05-21 | 2020-09-01 | 哈尔滨市科佳通用机电股份有限公司 | A railway track inspection method using drones to carry 3D equipment |
| CN111741113A (en) * | 2020-06-23 | 2020-10-02 | 上海铁维物联网科技有限公司 | Railway intelligent information management system |
| CN112311958A (en) * | 2020-10-19 | 2021-02-02 | 浙江互灵科技有限公司 | Base station and method for transmitting and processing images at ultra-long distance |
| CN113433963A (en) * | 2021-07-15 | 2021-09-24 | 江西理工大学 | Unmanned aerial vehicle multi-platform system and method for magnetic suspension track inspection |
| CN113433963B (en) * | 2021-07-15 | 2022-05-20 | 江西理工大学 | Unmanned aerial vehicle multi-platform system and method for magnetic suspension track inspection |
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