CN111398306A - Urban rail transit operation comprehensive detection system - Google Patents
Urban rail transit operation comprehensive detection system Download PDFInfo
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- CN111398306A CN111398306A CN202010192980.5A CN202010192980A CN111398306A CN 111398306 A CN111398306 A CN 111398306A CN 202010192980 A CN202010192980 A CN 202010192980A CN 111398306 A CN111398306 A CN 111398306A
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- 238000001514 detection method Methods 0.000 title claims abstract description 144
- 238000007689 inspection Methods 0.000 claims abstract description 28
- 208000013521 Visual disease Diseases 0.000 claims abstract description 12
- 229910000831 Steel Inorganic materials 0.000 claims description 34
- 239000010959 steel Substances 0.000 claims description 34
- 238000005259 measurement Methods 0.000 claims description 15
- 238000005299 abrasion Methods 0.000 claims description 5
- 238000003384 imaging method Methods 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 230000007547 defect Effects 0.000 claims description 4
- 201000010099 disease Diseases 0.000 claims description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 206010047571 Visual impairment Diseases 0.000 claims 1
- 208000029257 vision disease Diseases 0.000 claims 1
- 230000004393 visual impairment Effects 0.000 claims 1
- 230000015572 biosynthetic process Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 6
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9515—Objects of complex shape, e.g. examined with use of a surface follower device
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
- G01B11/0608—Height gauges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/14—Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1218—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using optical methods; using charged particle, e.g. electron, beams or X-rays
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Abstract
The invention discloses an urban rail transit operation comprehensive detection system, which comprises: the system comprises a track intelligent inspection module, a track net detection module, a tunnel detection module and a bow net detection module; wherein, the module is used for detecting orbital visual disease to track intelligence inspection, rail net detection module is used for detecting the physical deformation and the wearing and tearing of rail, tunnel detection module is used for scanning the formation of image to the tunnel state, bow net detection module is used for carrying out the anomaly detection to contact net and pantograph. Like this, in a vehicle of patrolling and examining, integrated the detection of the visual disease of track, the detection of rail deformation, the detection in tunnel and the detection of bow net, improved the detection efficiency of railway, reduced the cost of labor simultaneously and equipped the cost of over repairing.
Description
Technical Field
The invention relates to the field of railway detection, in particular to an urban rail transit operation comprehensive detection system.
Background
With the increasing expansion of modern construction, the construction of rail transit is flourishing day by day. The rail transit mainly comprises railways, and in order to ensure the safety of running vehicles, the railway tracks need to be periodically detected and maintained. The main detection comprises track detection, tunnel detection and bow net detection.
At present, the detection and maintenance of the track, the tunnel and the bow net of the track traffic adopt the manual mode and the traditional mode of a single inspection vehicle (namely, the vehicle which can only carry out a certain detection independently) for detection. The mode is low in working efficiency, and a large amount of labor cost and equipment overhauled cost are increased.
Disclosure of Invention
The invention aims to provide an urban rail transit operation comprehensive detection system, which realizes integration of various detection items and improves the detection efficiency of railways.
In order to achieve the purpose, the invention provides the following technical scheme: an urban rail transit operation comprehensive detection system comprises: the system comprises a track intelligent inspection module, a track net detection module, a tunnel detection module and a bow net detection module;
the intelligent track inspection module is used for detecting visible diseases of the track;
the rail net detection module is used for detecting physical deformation and abrasion of the steel rail;
the tunnel detection module is used for scanning and imaging the tunnel state;
the pantograph-catenary detection module is used for carrying out abnormity detection on the contact catenary and the pantograph.
Optionally, the track intelligent inspection module is used for detecting the visual diseases of the track and specifically includes:
the intelligent track inspection module shoots the video data of the track road condition in front of or behind the vehicle through the driving camera;
and the track intelligent inspection module analyzes the visual diseases in the track according to the video data.
Optionally, the visual disease includes: foreign bodies on the track bed, bounce loss, bolt loosening and steel rail stripping and chipping.
Optionally, the rail network detection module is used for detecting physical deformation of the steel rail and specifically includes:
the rail network detection module finishes the acquisition of the profiles of the inner side sections of the left and right steel rails through two-dimensional laser digital sensors to obtain two-dimensional coordinate data, and calculates by using the obtained two-dimensional coordinate data to obtain a rail gauge;
the rail network detection module takes a rail detection beam on a rail-road dual-purpose vehicle as a mass block, takes left and right high and low acceleration sensors as inertial measurement references, and combines two-dimensional coordinate data acquired by the two-dimensional laser sensors to perform compensation correction so as to calculate the left high distance and the right high distance of the rail;
and the rail network detection module analyzes the physical deformation of the steel rail through the calculated gauge, the left height gauge of the rail and the right height gauge of the rail.
Optionally, the rail mesh detection module is used for detecting the wear of the steel rail and specifically includes:
the rail network detection module projects a light plane perpendicular to the longitudinal axis direction of the steel rail to the inner side of the steel rail through the two-dimensional laser digital sensor, so that a measurement light bar is formed on the surface of the steel rail, and measurement coordinates of the measurement light bar under the light plane system are obtained.
And the rail network detection module maps the coordinates of the standard template profile of the steel rail to the measurement coordinates, so that the vertical and side wear values of the steel rail are obtained through comparison and calculation.
Optionally, the tunnel detection module is configured to scan and image a tunnel state, and specifically includes:
the tunnel detection module emits laser through a laser scanner and scans the full section of the tunnel in a spiral line mode;
and the tunnel detection module acquires influence information of the inner surface of the tunnel lining according to the intensity of the transmitted and received laser signals and forms an image.
Optionally, the tunnel detection module is further configured to perform tunnel defect detection according to the formed image.
Optionally, the pantograph-catenary detection module is configured to perform anomaly detection on the contact catenary and the pantograph specifically including:
the pantograph-catenary detection module detects geometric parameters of a guide height value, a pull-out value, a line spacing and a wear value of a catenary through a digital laser assembly;
the bow net detection module detects bow net arcing information through an ultraviolet photon counter and an ultraviolet camera;
the pantograph-catenary detection module detects the operating temperature distribution state of the pantograph through an infrared camera;
and the pantograph-catenary detection module analyzes the abnormal conditions of the catenary and the pantograph according to the detected geometric parameters of the catenary, pantograph-catenary arcing information and the temperature distribution state of the pantograph.
Optionally, the bow net arcing information includes: duration of arcing, arcing rate, and arcing size.
Optionally, its characterized in that, at least one module in track intelligence module, rail net detection module, tunnel detection module and bow net detection module of patrolling and examining possesses the locate function.
In the scheme of the invention, the comprehensive detection system for urban rail transit operation comprises: the system comprises a track intelligent inspection module, a track net detection module, a tunnel detection module and a bow net detection module; wherein, the module is used for detecting orbital visual disease to track intelligence inspection, rail net detection module is used for detecting the physical deformation and the wearing and tearing of rail, tunnel detection module is used for scanning the formation of image to the tunnel state, bow net detection module is used for carrying out the anomaly detection to contact net and pantograph. Like this, in a vehicle of patrolling and examining, integrated the detection of the visual disease of track, the detection of rail deformation, the detection in tunnel and the detection of bow net, improved the detection efficiency of two ways of public railway, reduced the cost of labor simultaneously and equipped the cost of repairing excessively.
Drawings
FIG. 1 is a schematic diagram of an intelligent inspection system for a convertible vehicle for road and railway in accordance with the present invention;
FIG. 2 is a schematic diagram of the operation of the intelligent track inspection module according to the present invention;
FIG. 3 is a schematic diagram of the operation of the rail network detection module of the present invention;
FIG. 4 is another schematic diagram of the operation of the rail network inspection module of the present invention;
FIG. 5 is a diagram illustrating the detailed operation of the tunnel detection module according to the present invention;
fig. 6 is a schematic diagram of the detailed operation of the bow net detection module of the present invention.
Detailed Description
In the present invention, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "center", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are used only for explaining relative positional relationships between the respective members or components, and do not particularly limit specific mounting orientations of the respective members or components.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meanings of these terms in the present invention can be understood by those skilled in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "connected" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meanings of the above terms in the present invention can be understood by those of ordinary skill in the art according to specific situations.
In addition, the structures, the proportions, the sizes, and the like, which are illustrated in the accompanying drawings, are intended to be included within the scope of the present disclosure, and are not intended to limit the scope of the present disclosure, which is defined by the claims, but rather by the claims, and all changes in the structures, the proportions, and the sizes, which are included in the disclosure, are intended to be encompassed within the scope of the present disclosure, without affecting the efficacy and attainment of the same.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-6, the present invention provides an urban rail transit operation comprehensive detection system, which includes: the system comprises a track intelligent inspection module 101, a track network detection module 102, a tunnel detection module 103 and a bow network detection module 104;
the intelligent track inspection module 101 is used for detecting visible diseases of the track;
the rail network detection module 102 is used for detecting physical deformation and abrasion of the steel rail;
the tunnel detection module 103 is configured to perform scanning imaging on a tunnel state;
the pantograph detection module 104 is configured to detect an anomaly of the contact net and the pantograph.
In the scheme of the invention, the intelligent detection system is applied to a highway and railway inspection vehicle, and meanwhile, related detection equipment of a track intelligent inspection module 101, a rail network detection module 102, a tunnel detection module 103 and a pantograph network detection module 104 is arranged in the vehicle, so that the vehicle has the functions of detecting visual defects of a track, detecting physical deformation and abrasion of a steel rail, scanning and imaging a tunnel and detecting abnormal states of pantograph networks (a contact network and a pantograph). Therefore, the detection efficiency of the two road roads of the highway and the railway is improved, and meanwhile, the labor cost and the repair cost of equipment are reduced.
The following is a detailed description of the implementation of the corresponding function of each module:
the track intelligent inspection module 101 is used for detecting visual diseases of the track and specifically comprises the following steps:
201. the intelligent track inspection module shoots the video data of the track road condition in front of or behind the vehicle through the driving camera;
the intelligent track inspection module comprises a driving camera installed on a road-rail dual-purpose vehicle, the driving camera can be installed in the front of the vehicle and also can be installed at the rear of the vehicle, or the driving camera is installed at the front and the rear of the vehicle, so that the vehicle can shoot video data of the road conditions of the track in front of the vehicle or behind the vehicle in real time through the driving camera in the driving process.
202. And the track intelligent inspection module analyzes the visual diseases in the track according to the video data.
After the video data of the track road condition is shot, intelligent analysis can be carried out through the road condition sample collected in advance and the video data, so that the visual diseases existing in the track can be analyzed, and the visual diseases include but are not limited to foreign matters on a track bed, bounce loss, bolt loosening and steel rail stripping and chipping.
The rail network detection module 102 is configured to detect physical deformation of a steel rail, and specifically includes:
301. the rail network detection module finishes the acquisition of the profiles of the inner side sections of the left and right steel rails through two-dimensional laser digital sensors to obtain two-dimensional coordinate data, and calculates by using the obtained two-dimensional coordinate data to obtain a rail gauge;
302. the rail network detection module takes a rail detection beam on a rail-road dual-purpose vehicle as a mass block, takes left and right high and low acceleration sensors as inertial measurement references, and combines two-dimensional coordinate data acquired by the two-dimensional laser sensors to perform compensation correction so as to calculate the left high distance and the right high distance of the rail;
303. and the rail network detection module analyzes the physical deformation of the steel rail through the calculated gauge, the left height gauge of the rail and the right height gauge of the rail.
The rail mesh detection module 102 is used for detecting the abrasion of the steel rail and specifically comprises:
401. the rail network detection module projects a light plane perpendicular to the longitudinal axis direction of the steel rail to the inner side of the steel rail through the two-dimensional laser digital sensor, so that a measurement light bar is formed on the surface of the steel rail, and measurement coordinates of the measurement light bar under the light plane system are obtained;
402. and the rail network detection module maps the coordinates of the standard template profile of the steel rail to the measurement coordinates, so that the vertical and side wear values of the steel rail are obtained through comparison and calculation.
The tunnel detection module 103 is configured to perform scanning imaging on a tunnel state, and specifically includes:
501. the tunnel detection module emits laser through a laser scanner and scans the full section of the tunnel in a spiral line mode;
502. and the tunnel detection module acquires influence information of the inner surface of the tunnel lining according to the intensity of the transmitted and received laser signals and forms an image.
Optionally, the tunnel detection module is further configured to perform tunnel defect detection according to the formed image.
The pantograph detection module 104 is used for detecting the abnormality of the contact net and the pantograph, and specifically comprises:
601. the pantograph-catenary detection module detects geometric parameters of a guide height value, a pull-out value, a line spacing and a wear value of a catenary through a digital laser assembly;
602. the bow net detection module detects bow net arcing information through an ultraviolet photon counter and an ultraviolet camera;
the bow net arcing information comprises: duration of arcing, arcing rate, and arcing size.
603. The pantograph-catenary detection module detects the operating temperature distribution state of the pantograph through an infrared camera;
604. and the pantograph-catenary detection module analyzes the abnormal conditions of the catenary and the pantograph according to the detected geometric parameters of the catenary, pantograph-catenary arcing information and the temperature distribution state of the pantograph.
Optionally, at least one of the track intelligent inspection module 101, the track network detection module 102, the tunnel detection module 103, and the bow network detection module 104 has a positioning function. The device for implementing the Positioning function may be a Global Positioning System (GPS) device, or may be other devices with a Positioning function, and the present application is not limited specifically.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides an urban rail transit operation comprehensive testing system which characterized in that includes: the system comprises a track intelligent inspection module, a track net detection module, a tunnel detection module and a bow net detection module;
the intelligent track inspection module is used for detecting visible diseases of the track;
the rail net detection module is used for detecting physical deformation and abrasion of the steel rail;
the tunnel detection module is used for scanning and imaging the tunnel state;
the pantograph-catenary detection module is used for carrying out abnormity detection on the contact catenary and the pantograph.
2. The intelligent detection system according to claim 1, wherein the track intelligent inspection module is used for detecting visible diseases of the track and specifically comprises:
the intelligent track inspection module shoots the video data of the track road condition in front of or behind the vehicle through the driving camera;
and the track intelligent inspection module analyzes the visual diseases in the track according to the video data.
3. The intelligent detection system of claim 2, wherein the visual impairment comprises: foreign bodies on the track bed, bounce loss, bolt loosening and steel rail stripping and chipping.
4. The intelligent detection system of claim 1, wherein the rail network detection module is configured to detect physical deformation of a steel rail, and specifically comprises:
the rail network detection module finishes the acquisition of the profiles of the inner side sections of the left and right steel rails through two-dimensional laser digital sensors to obtain two-dimensional coordinate data, and calculates by using the obtained two-dimensional coordinate data to obtain a rail gauge;
the rail network detection module takes a rail detection beam on a rail-road dual-purpose vehicle as a mass block, takes left and right high and low acceleration sensors as inertial measurement references, and combines two-dimensional coordinate data acquired by the two-dimensional laser sensors to perform compensation correction so as to calculate the left high distance and the right high distance of the rail;
and the rail network detection module analyzes the physical deformation of the steel rail through the calculated gauge, the left height gauge of the rail and the right height gauge of the rail.
5. The intelligent detection system of claim 4, wherein the rail mesh detection module is configured to detect wear of a steel rail and specifically comprises:
the rail network detection module projects a light plane perpendicular to the longitudinal axis direction of the steel rail to the inner side of the steel rail through the two-dimensional laser digital sensor, so that a measurement light bar is formed on the surface of the steel rail, and measurement coordinates of the measurement light bar under the light plane system are obtained.
And the rail network detection module maps the coordinates of the standard template profile of the steel rail to the measurement coordinates, so that the vertical and side wear values of the steel rail are obtained through comparison and calculation.
6. The intelligent detection system according to claim 1, wherein the tunnel detection module is configured to scan and image a tunnel state, and specifically includes:
the tunnel detection module emits laser through a laser scanner and scans the full section of the tunnel in a spiral line mode;
and the tunnel detection module acquires influence information of the inner surface of the tunnel lining according to the intensity of the transmitted and received laser signals and forms an image.
7. The intelligent detection system according to claim 6, wherein the tunnel detection module is further configured to perform tunnel defect detection according to the formed image.
8. The smart detection system of claim 1, wherein the pantograph detection module is configured to detect anomalies in the contact network and the pantograph, and specifically comprises:
the pantograph-catenary detection module detects geometric parameters of a guide height value, a pull-out value, a line spacing and a wear value of a catenary through a digital laser assembly;
the bow net detection module detects bow net arcing information through an ultraviolet photon counter and an ultraviolet camera;
the pantograph-catenary detection module detects the operating temperature distribution state of the pantograph through an infrared camera;
and the pantograph-catenary detection module analyzes the abnormal conditions of the catenary and the pantograph according to the detected geometric parameters of the catenary, pantograph-catenary arcing information and the temperature distribution state of the pantograph.
9. The intelligent detection system of claim 8, wherein the bow net arcing information comprises: duration of arcing, arcing rate, and arcing size.
10. The intelligent detection system according to any one of claims 1 to 9, wherein at least one of the track intelligent inspection module, the rail net detection module, the tunnel detection module and the bow net detection module has a positioning function.
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| CN201911384232 | 2019-12-28 | ||
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112406947A (en) * | 2020-11-26 | 2021-02-26 | 中国铁道科学研究院集团有限公司 | Network rail fusion detection system, detection method and detection device |
| CN112834879A (en) * | 2021-01-05 | 2021-05-25 | 株洲中车时代电气股份有限公司 | Detection device and detection method for bow net arcing |
| CN113085949A (en) * | 2021-06-09 | 2021-07-09 | 成都国铁电气设备有限公司 | Network rail tunnel comprehensive detection system and method capable of actively detecting |
| CN113104063A (en) * | 2021-06-09 | 2021-07-13 | 成都国铁电气设备有限公司 | Comprehensive detection system and method for network rail tunnel |
| CN113232692A (en) * | 2021-06-09 | 2021-08-10 | 成都国铁电气设备有限公司 | Simultaneous time-space-same section net rail tunnel comprehensive detection system |
| CN115598145A (en) * | 2022-10-14 | 2023-01-13 | 上饶市中帆金属有限公司（Cn） | Copper magnesium alloy contact wire abrasion detection device |
| CN117036366A (en) * | 2023-10-10 | 2023-11-10 | 克伦斯(天津)轨道交通技术有限公司 | Railway bow net detection method, device, equipment and medium based on image processing |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103552579A (en) * | 2013-11-18 | 2014-02-05 | 南车洛阳机车有限公司 | Comprehensive detection train for freight heavy haul railway |
| CN104608779A (en) * | 2014-12-01 | 2015-05-13 | 南车株洲电力机车有限公司 | Single-body track detection cart |
| CN107554553A (en) * | 2017-08-31 | 2018-01-09 | 常州路航轨道交通科技有限公司 | Track geometry irregularities detection method based on two-dimensional laser displacement transducer |
| CN108248635A (en) * | 2018-02-05 | 2018-07-06 | 刘春梅 | A kind of intelligent checking system for rail tunnel |
| CN108333488A (en) * | 2018-02-08 | 2018-07-27 | 南京视道信息技术有限公司 | The arcing detection method blended based on ultraviolet, infrared and optical imagery |
| CN108860210A (en) * | 2017-05-10 | 2018-11-23 | 中国科学院深圳先进技术研究院 | Bow net arcing Systems for optical inspection |
| CN109305179A (en) * | 2017-07-26 | 2019-02-05 | 中国铁道科学研究院集团有限公司 | Rail track equipment appearance cruising inspection system |
| CN109664797A (en) * | 2019-02-27 | 2019-04-23 | 襄阳国铁机电股份有限公司 | Rail net detection system and detection vehicle |
| CN209070035U (en) * | 2018-10-23 | 2019-07-05 | 四川瑞新轨道交通科技发展有限公司 | A kind of rail traffic electricity car overhead contact line comprehensive detection device |
-
2020
- 2020-03-18 CN CN202010192980.5A patent/CN111398306A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103552579A (en) * | 2013-11-18 | 2014-02-05 | 南车洛阳机车有限公司 | Comprehensive detection train for freight heavy haul railway |
| CN104608779A (en) * | 2014-12-01 | 2015-05-13 | 南车株洲电力机车有限公司 | Single-body track detection cart |
| CN108860210A (en) * | 2017-05-10 | 2018-11-23 | 中国科学院深圳先进技术研究院 | Bow net arcing Systems for optical inspection |
| CN109305179A (en) * | 2017-07-26 | 2019-02-05 | 中国铁道科学研究院集团有限公司 | Rail track equipment appearance cruising inspection system |
| CN107554553A (en) * | 2017-08-31 | 2018-01-09 | 常州路航轨道交通科技有限公司 | Track geometry irregularities detection method based on two-dimensional laser displacement transducer |
| CN108248635A (en) * | 2018-02-05 | 2018-07-06 | 刘春梅 | A kind of intelligent checking system for rail tunnel |
| CN108333488A (en) * | 2018-02-08 | 2018-07-27 | 南京视道信息技术有限公司 | The arcing detection method blended based on ultraviolet, infrared and optical imagery |
| CN209070035U (en) * | 2018-10-23 | 2019-07-05 | 四川瑞新轨道交通科技发展有限公司 | A kind of rail traffic electricity car overhead contact line comprehensive detection device |
| CN109664797A (en) * | 2019-02-27 | 2019-04-23 | 襄阳国铁机电股份有限公司 | Rail net detection system and detection vehicle |
Non-Patent Citations (1)
| Title |
|---|
| 赵长波 等: "《铁路货车现代化检查技术》", vol. 978, 中国铁道出版社, pages: 183 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112406947A (en) * | 2020-11-26 | 2021-02-26 | 中国铁道科学研究院集团有限公司 | Network rail fusion detection system, detection method and detection device |
| CN112834879A (en) * | 2021-01-05 | 2021-05-25 | 株洲中车时代电气股份有限公司 | Detection device and detection method for bow net arcing |
| CN113085949A (en) * | 2021-06-09 | 2021-07-09 | 成都国铁电气设备有限公司 | Network rail tunnel comprehensive detection system and method capable of actively detecting |
| CN113104063A (en) * | 2021-06-09 | 2021-07-13 | 成都国铁电气设备有限公司 | Comprehensive detection system and method for network rail tunnel |
| CN113232692A (en) * | 2021-06-09 | 2021-08-10 | 成都国铁电气设备有限公司 | Simultaneous time-space-same section net rail tunnel comprehensive detection system |
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| CN117036366B (en) * | 2023-10-10 | 2024-01-02 | 克伦斯(天津)轨道交通技术有限公司 | Railway bow net detection method, device, equipment and medium based on image processing |
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