CN111114587A - Station train receiving and dispatching early warning system and image preprocessing method thereof - Google Patents
Station train receiving and dispatching early warning system and image preprocessing method thereof Download PDFInfo
- Publication number
- CN111114587A CN111114587A CN201811280744.8A CN201811280744A CN111114587A CN 111114587 A CN111114587 A CN 111114587A CN 201811280744 A CN201811280744 A CN 201811280744A CN 111114587 A CN111114587 A CN 111114587A
- Authority
- CN
- China
- Prior art keywords
- train
- recognition alarm
- early warning
- alarm
- station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims description 20
- 238000007781 pre-processing Methods 0.000 title claims description 8
- 238000012544 monitoring process Methods 0.000 claims abstract description 31
- 230000010365 information processing Effects 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims abstract description 7
- 229910000831 Steel Inorganic materials 0.000 claims description 22
- 239000010959 steel Substances 0.000 claims description 22
- 239000000779 smoke Substances 0.000 claims description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 239000000725 suspension Substances 0.000 claims description 6
- 238000013500 data storage Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 239000000523 sample Substances 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- 239000002184 metal Substances 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 8
- 238000005286 illumination Methods 0.000 description 3
- 230000001788 irregular Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mechanical Engineering (AREA)
- Alarm Systems (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The invention discloses a train receiving and dispatching early warning system for a station, which comprises an information acquisition device, a monitoring information processing device and an early warning device, wherein the information acquisition device can acquire image information of a train arriving at the station, the monitoring information processing device can realize processing and analysis of monitoring information, and the early warning device can realize real-time early warning of abnormal images; has the advantages that: the train receiving and dispatching early warning system can efficiently detect the train state, is strong in real-time performance, can intelligently analyze and early warn, realizes centralized processing and centralized display of information, is convenient to use, and reduces the labor intensity of workers.
Description
Technical Field
The invention relates to the field of station train receiving and dispatching early warning systems, in particular to a station train receiving and dispatching early warning system and an image preprocessing method thereof.
Background
For a long time, the old railway vehicle maintenance means and the backward technical equipment in China completely adopt the traditional operation mode of simply manually setting up a post and collecting the railway vehicles, the train inspection operation basically depends on the hand touch, hammer strike, eye sight, ear hearing and nose smell of an inspector, the efficiency is low, the operation quality cannot be ensured, and the safety potential hazard exists in the operation safety of the freight train. The need for rapid development of railways and for ensuring safety has not been met. The following problems mainly exist in the traditional train receiving and dispatching operation:
with the increase of the running speed of the train, the train is monitored by purely depending on an outwork visual method, and potential safety hazards such as cargo leakage, loss of a train tail device, opening of a water filling port of a bullet train, no lifting of a tail pipe and the like are difficult to find and accurately judge in time;
the visual method of the field work is limited by objective conditions such as weather and standing position, and the train state can not be monitored in an all-round and all-weather manner; potential safety hazards in the running process of the train are difficult to find;
the hidden danger is judged manually, and the hidden danger is interfered by factors such as business quality, practical experience and the like, so that misjudgment and misjudgment are easily caused, and the safe operation of the train is influenced.
The labor intensity of outworkers of a passenger-cargo mixed-running main line and a busy main line is high, the quality of train receiving and dispatching operation is reduced in a fatigue state, and potential safety hazards that the running risk of the train cannot be found exist;
under adverse circumstances, the condition that the jumper wire connects the car, personal safety problem exists to field staff.
The application of the intelligent monitoring and early warning system for the running safety of the push train adopts advanced equipment to monitor the running of the train, and adopts advanced scientific technology and intelligent processing means to realize comprehensive detection, monitoring and early warning of all-round, all-time and all-coverage railway passenger and cargo transportation, which becomes the inevitable trend of times development, so that a station train receiving and dispatching early warning system and an image preprocessing method thereof are designed.
Disclosure of Invention
The invention aims to solve the problems and provides a train receiving and dispatching early warning system for a station and an image preprocessing method thereof.
The invention realizes the purpose through the following technical scheme:
a train receiving and dispatching early warning system at a station comprises
The system comprises an information acquisition device, a data acquisition device and a data acquisition device, wherein the information acquisition device is arranged beside a station rail and comprises an equipment frame, the equipment frame is provided with two layers, a high-definition linear array camera is arranged on an upper layer structure and a lower layer structure, an auxiliary lighting lamp and a high-definition area array camera are also arranged on the upper layer structure, an equipment control box is arranged behind the equipment frame, a switch and a distribution box are arranged on the equipment control box, the equipment control box is electrically connected with the switch, and the equipment control box is electrically connected with the high-definition linear array camera, the high-definition linear array camera and the auxiliary lighting lamp; the sound probe is arranged on the equipment frame, one side of the equipment frame is a rail, and the rail is provided with starting magnetic steel, speed measuring magnetic steel, a car number antenna and a hot wheel detector; the starting magnetic steel, the speed measuring magnetic steel and the vehicle number antenna are electrically connected with the equipment control box, and the speed measuring magnetic steel corresponds to the upper position and the lower position of the high-definition linear array camera;
the monitoring information processing device is arranged in a station monitoring room and comprises a monitoring information processing terminal, and the monitoring information processing terminal is electrically connected with the display terminal and the data storage;
the early warning device is in signal connection with the monitoring information processing terminal through a wireless signal transmitted by the router, and can realize vehicle door opening recognition alarm, vehicle window opening recognition alarm, smoke recognition alarm, foreign matter suspension recognition alarm, tarpaulin floating recognition alarm and abnormal sound recognition alarm, train tail device loss recognition alarm, night train tail lamp non-lighting recognition alarm, cargo leakage recognition alarm, bullet train water filling port opening recognition alarm, tail pipe lifting non-standard recognition alarm, and train and truck wheel temperature exceeding warning value recognition alarm.
Further, the auxiliary lighting lamp is connected to the equipment rack through a metal hose having a twisting function.
Further, the block terminal is equipped with two, and all is connected with the UPS power electricity.
Further, the equipment frame comprises two vertical supporting columns and two horizontal supporting columns, and the two vertical supporting columns and the two horizontal supporting columns are welded to form a structure shaped like a Chinese character 'jing'.
Further, the vehicle door opening identification alarm, the vehicle window opening identification alarm, the smoke identification alarm, the foreign matter suspension identification alarm, the tarpaulin floating identification alarm, the abnormal sound identification alarm, the train tail device loss identification alarm, the night passenger car tail lamp unlighting identification alarm, the goods leakage identification alarm, the bullet train water filling port opening identification alarm, the tail pipe lifting irregular identification alarm, the passenger car and goods car wheel temperature exceeding warning value identification alarm adopt the audible and visual alarm to alarm.
Further, the display terminal is a computer, a tablet or a mobile phone.
By adopting the structure, the information acquisition device can acquire the image information of the train on site, and the monitoring information processing device can realize the processing and analysis of the image information and give an alarm for prompting through the early warning device.
A image preprocessing method based on a station train receiving and sending early warning system is characterized in that a monitoring information processing terminal synthesizes and processes image information based on a Retinex algorithm, and the main principle is described by the following formula:
r is an output image;
MSR is image enhancement algorithm;
i (x, y) pixel coordinate values;
k represents a scale number;
i is an original input image;
f is a Gaussian function;
n is the number of scales;
w is the weight of each scale, and is generally 1/N;
σ is a Gaussian distribution standard deviation;
kernel is a Kernel function.
And automatically selecting and dividing key areas in the image for processing, and combining three methods of angular point detection, multi-threshold automatic division and K-Mean automatic division, wherein the core is represented by the following formula on the basis of K-Mean:
c(i)＝arg minj(x(i)-Cj)2，
ci is the central function and X is the input gray value.
The processing method aims to carry out purposeful region enhancement and gray level conversion on the acquired high-definition image so as to amplify or reduce related information in the image, automatically change the definition of some regions which cannot be observed originally, and enable the utilization value of the image to be higher, and the method can be used for subsequent image processing and identification.
In conclusion, the beneficial effects of the invention are as follows: the train receiving and dispatching early warning system can efficiently detect the train state, is strong in real-time performance, can intelligently analyze and early warn, realizes centralized processing and centralized display of information, is convenient to use, and reduces the labor intensity of workers.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the structure of an information acquisition device according to the present invention;
fig. 2 is a block diagram of the control system of the present invention.
The reference numerals are explained below:
1. an information acquisition device; 101. a rail; 102. a thermal wheel detector; 103. an equipment rack; 104. a sound probe; 105. a vehicle number antenna; 106. speed measuring magnetic steel; 107. starting the magnetic steel; 108. a distribution box; 109. an equipment control box; 110. a switch; 111. a high-definition linear array camera; 112. a high-definition area-array camera; 113. a lamp for auxiliary lighting; 2. a monitoring information processing device; 201. a display terminal; 202. monitoring an information processing terminal; 203. a data storage; 204. a router; 3. an early warning device; 4. a train.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
Referring to fig. 1 to 2, the present invention provides a train 4 early warning system at a station, including
The information acquisition device 1 is arranged beside a station rail 101, the information acquisition device 1 comprises an equipment frame 103, the equipment frame 103 is provided with two layers, high-definition linear cameras 111 are arranged on an upper layer structure and a lower layer structure, an auxiliary lighting lamp 113 and a high-definition area camera 112 are further arranged on the upper layer structure, an equipment control box 109 is arranged behind the equipment frame 103, a switch 110 and a distribution box 108 are arranged on the equipment control box 109, the equipment control box 109 is electrically connected with the switch 110, and the equipment control box 109 is electrically connected with the high-definition linear cameras 111, the high-definition linear cameras 111 and the auxiliary lighting lamp 113; the device frame 103 is provided with a sound probe 104, the sound probe 104 collects friction sound of a body part and friction sound of a wheel shaft when the train 4 passes through, one side of the device frame 103 is provided with a rail 101, the rail 101 is provided with starting magnetic steel 107, speed measuring magnetic steel 106, a train number antenna 105 and a hot wheel detector 102, and the hot wheel detector 102 collects wheel temperature of each train when the train 4 passes through; the starting magnetic steel 107, the speed measuring magnetic steel 106 and the vehicle number antenna 105 are electrically connected with the equipment control box 109, and the speed measuring magnetic steel 106 corresponds to the upper position and the lower position of the high-definition linear array camera 111;
when a train 4 enters a station to trigger the starting magnetic steel 107, the output end of the starting magnetic steel 107 can generate a pulse signal, the equipment control box 109 controls the auxiliary lighting lamp 113 to start lighting, two high-definition linear array cameras 111 are arranged and are respectively installed at different heights of the equipment frame 103, the train 4 can be comprehensively shot, and the high-definition linear array cameras 112 can acquire and record station entering information of the train 4; when the train 4 is out of the station, the speed measuring magnetic steel 106 can measure the speed of the train in real time, and the speed can be converted to obtain the scanning line frequency of the linear array camera; the car number antenna 105 can automatically identify the car number of each carriage, and the parking space detection of each carriage can be realized by starting the magnetic steel 107, the speed measuring magnetic steel 106 and the car number antenna 105;
the monitoring information processing device 2 is arranged in a station monitoring room, the monitoring information processing device 2 comprises a monitoring information processing terminal 202, and the monitoring information processing terminal 202 is electrically connected with a display terminal 201 and a data storage 203; the monitoring information processing terminal 202 can realize the processing of the monitoring data, and display through the display terminal 201 and store through the data storage 203.
The early warning device 3 is in signal connection with the monitoring information processing terminal 202 through a wireless signal transmitted by the router 204, and can realize vehicle door opening identification warning, vehicle window opening identification warning, smoke identification warning, foreign matter suspension identification warning, tarpaulin floating identification warning, abnormal sound identification warning, train tail device loss identification warning, night passenger train tail lamp unlighting identification warning, cargo leakage identification warning, bullet train water filling port opening identification warning, tail pipe lifting irregular identification warning, and passenger train and cargo wheel temperature exceeding warning value identification warning;
the early warning device 3 aims to timely give an early warning to stations with monitoring and early warning systems deployed at the periphery when suspected problems are found;
the information of the train 4 types and the train types is collected by the train number antenna 105, and for more accurate identification, a histogram similarity extraction algorithm is preferably adopted when the images are processed, so that the histograms of the gray levels (or after transformation) of the images are compared. The demonstration formula is as follows:
g, S are two histograms, and N is the number of bits in the histogram.
The image state of the region with or without problems can be described efficiently.
For smoke identification, we can explain the method by the following steps according to the identification of the smoke character characteristics:
the first step is as follows: decoding the picture and removing the background;
the second step is that: filtering to obtain a binary foreground image;
the third step: performing binary image morphological operation processing;
the fourth step: extracting contour features and textural features of the relevant regions of the image;
the fifth step: judging whether smoke exists or not according to the characteristic information;
and a sixth step: and early warning and returning an identification result.
The smoke identification accuracy is high.
The method comprises the steps of identifying loss of a train tail device, detecting a classifier of a part of a collected image where a train tail appears, and defining two areas as one camera can see the train tail device in one direction, one area is an entering area and the other area is a leaving area.
In order to facilitate adjustment of the illumination angle of the auxiliary illumination lamp 113, the auxiliary illumination lamp 113 is connected to the equipment rack 103 through a flexible metal pipe having a twisting function.
For the convenience of providing a continuous power supply, the distribution box 108 is provided with two distribution boxes, and is electrically connected with the UPS power supply.
For the purpose of stably supporting each collecting component, the equipment rack 103 includes two vertical pillars and two horizontal pillars, and the two vertical pillars and the two horizontal pillars are welded to form a structure shaped like a Chinese character 'jing'.
The system comprises a train door opening identification alarm, a train window opening identification alarm, a smoke identification alarm, a foreign matter suspension identification alarm, a tarpaulin floating identification alarm, an abnormal sound identification alarm, a train tail device loss identification alarm, a night passenger train tail lamp unlighting identification alarm, a cargo leakage identification alarm, a bullet train water filling port opening identification alarm, a tail pipe lifting irregular identification alarm, and a passenger train and cargo train wheel temperature exceeding warning value identification alarm.
The display terminal 201 is a computer, a tablet or a mobile phone.
By adopting the structure, the information acquisition device 1 can acquire the image information of the train 4 on site, the monitoring information processing device 2 can realize the processing and analysis of the image information, and the warning device 3 can give an alarm.
An image preprocessing method based on a station train 4 early warning system is characterized in that a monitoring information processing terminal 202 synthesizes and processes image information based on a Retinex algorithm, and the main principle is described by the following formula:
r is an output image;
MSR is image enhancement algorithm;
i (x, y) pixel coordinate values;
k represents a scale number;
i is an original input image;
f is a Gaussian function;
n is the number of scales;
w is the weight of each scale, and is generally 1/N;
σ is a Gaussian distribution standard deviation;
kernel is a Kernel function.
And automatically selecting and dividing key areas in the image for processing, and combining three methods of angular point detection, multi-threshold automatic division and K-Mean automatic division, wherein the core is represented by the following formula on the basis of K-Mean:
c(i)＝arg minj(x(i)-Cj)2，
ci is the central function and X is the input gray value.
The processing method aims to carry out purposeful region enhancement and gray level conversion on the acquired high-definition image so as to amplify or reduce related information in the image, automatically change the definition of some regions which cannot be observed originally, and enable the utilization value of the image to be higher, and the method can be used for subsequent image processing and identification.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (7)
1. A train receiving and sending early warning system for a station is characterized by comprising
The system comprises an information acquisition device, a data acquisition device and a data acquisition device, wherein the information acquisition device is arranged beside a station rail and comprises an equipment frame, the equipment frame is provided with two layers, a high-definition linear array camera is arranged on an upper layer structure and a lower layer structure, an auxiliary lighting lamp and a high-definition area array camera are also arranged on the upper layer structure, an equipment control box is arranged behind the equipment frame, a switch and a distribution box are arranged on the equipment control box, the equipment control box is electrically connected with the switch, and the equipment control box is electrically connected with the high-definition linear array camera, the high-definition linear array camera and the auxiliary lighting lamp; the sound probe is arranged on the equipment frame, one side of the equipment frame is a rail, and the rail is provided with starting magnetic steel, speed measuring magnetic steel, a car number antenna and a hot wheel detector; the starting magnetic steel, the speed measuring magnetic steel and the vehicle number antenna are electrically connected with the equipment control box, and the speed measuring magnetic steel corresponds to the upper position and the lower position of the high-definition linear array camera;
the monitoring information processing device is arranged in a station monitoring room and comprises a monitoring information processing terminal, and the monitoring information processing terminal is electrically connected with the display terminal and the data storage;
the early warning device is in signal connection with the monitoring information processing terminal through a wireless signal transmitted by the router, and can realize vehicle door opening recognition alarm, vehicle window opening recognition alarm, smoke recognition alarm, foreign matter suspension recognition alarm, tarpaulin floating recognition alarm and abnormal sound recognition alarm, train tail device loss recognition alarm, night train tail lamp non-lighting recognition alarm, cargo leakage recognition alarm, bullet train water filling port opening recognition alarm, tail pipe lifting non-standard recognition alarm, and train and truck wheel temperature exceeding warning value recognition alarm.
2. The train departure/arrival warning system according to claim 1, wherein the auxiliary lighting lamp is connected to the equipment rack through a flexible metal tube having a twisting function.
3. The train early warning system is received and dispatched in station of claim 1, characterized in that, the block terminal is equipped with two, and all is connected with UPS power electricity.
4. The train receiving and dispatching early warning system of a station as claimed in claim 1, wherein the equipment rack comprises two vertical pillars and two horizontal pillars, and the two vertical pillars and the two horizontal pillars are welded to form a structure shaped like a Chinese character 'jing'.
5. The train receiving and dispatching early warning system for the station as claimed in claim 1, wherein the train door opening recognition alarm, the train window opening recognition alarm, the smoke recognition alarm, the foreign matter suspension recognition alarm, the tarpaulin floating recognition alarm, the abnormal sound recognition alarm, the train tail device loss recognition alarm, the night train tail lamp non-lighting recognition alarm, the cargo leakage recognition alarm, the bullet train water filling port opening recognition alarm, the tail pipe lifting non-standard recognition alarm, and the train and truck wheel temperature exceeding warning value recognition alarm adopt audible and visual alarms.
6. The train receiving and dispatching early warning system in a station as claimed in claim 1, wherein the display terminal is a computer, a tablet or a mobile phone.
7. An image preprocessing method based on the station train-receiving and train-sending early warning system as claimed in any one of claims 1 to 6, characterized in that the monitoring information processing terminal performs synthetic processing on the image information by adopting a Retinex algorithm as a basis, and the main principle is described by the following formula:
r is an output image;
MSR is image enhancement algorithm;
i (x, y) pixel coordinate values;
k represents a scale number;
i is an original input image;
f is a Gaussian function;
n is the number of scales;
w is the weight of each scale;
σ is a Gaussian distribution standard deviation;
kernel is a Kernel function;
and automatically selecting and dividing key areas in the image for processing, and combining three methods of angular point detection, multi-threshold automatic division and K-Mean automatic division, wherein the core is represented by the following formula on the basis of K-Mean:
c(i)＝arg minj(x(i)-Cj)2，
ci is the central function and X is the input gray value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811280744.8A CN111114587A (en) | 2018-10-30 | 2018-10-30 | Station train receiving and dispatching early warning system and image preprocessing method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811280744.8A CN111114587A (en) | 2018-10-30 | 2018-10-30 | Station train receiving and dispatching early warning system and image preprocessing method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111114587A true CN111114587A (en) | 2020-05-08 |
Family
ID=70484768
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811280744.8A Pending CN111114587A (en) | 2018-10-30 | 2018-10-30 | Station train receiving and dispatching early warning system and image preprocessing method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111114587A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113788051A (en) * | 2021-10-26 | 2021-12-14 | 成都运达科技股份有限公司 | Train on-station running state monitoring and analyzing system |
| CN115503783A (en) * | 2022-09-23 | 2022-12-23 | 中车青岛四方机车车辆股份有限公司 | Information interaction system based on transparent display vehicle window |
-
2018
- 2018-10-30 CN CN201811280744.8A patent/CN111114587A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113788051A (en) * | 2021-10-26 | 2021-12-14 | 成都运达科技股份有限公司 | Train on-station running state monitoring and analyzing system |
| CN115503783A (en) * | 2022-09-23 | 2022-12-23 | 中车青岛四方机车车辆股份有限公司 | Information interaction system based on transparent display vehicle window |
| CN115503783B (en) * | 2022-09-23 | 2023-11-21 | 中车青岛四方机车车辆股份有限公司 | Information interaction system based on transparent display car window |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105652154B (en) | Contact Running State security auditing system | |
| Liu et al. | A review of applications of visual inspection technology based on image processing in the railway industry | |
| CN105809679B (en) | Mountain railway side slope rockfall detection method based on visual analysis | |
| CN108491758B (en) | Track detection method and robot | |
| CN103745224B (en) | Image-based railway contact net bird-nest abnormal condition detection method | |
| CN105719305B (en) | Component falls off defect identification method and system in contact net | |
| CN102759347B (en) | Online in-process quality control device and method for high-speed rail contact networks and composed high-speed rail contact network detection system thereof | |
| CN111260629A (en) | Pantograph structure abnormity detection algorithm based on image processing | |
| CN105203552A (en) | 360-degree tread image detecting system and method | |
| CN103287464B (en) | Intelligent video surveillance system at railway crossing and implement method of system | |
| CN110047070B (en) | Method and system for identifying rail wear degree | |
| CN103196372B (en) | A kind of optical imagery detection method of electrification railway contact net supportive device | |
| CN104773626A (en) | Safety state detection device for bolt of standard section of construction hoist | |
| CN206074832U (en) | A kind of railcar roof pantograph foreign matter detection system | |
| CN104407346A (en) | Mobile runway foreign object debris (FOD) monitoring method based on information integration | |
| CN111561967A (en) | Real-time online detection method and system for pantograph-catenary operation state | |
| CN111114587A (en) | Station train receiving and dispatching early warning system and image preprocessing method thereof | |
| CN114998244A (en) | Intelligent track beam finger-shaped plate inspection system and method based on computer vision | |
| CN113298059A (en) | Pantograph foreign matter intrusion detection method, device, computer equipment, system and storage medium | |
| CN115937213A (en) | Visual defect identification system of automatic inspection robot for mining monorail crane track | |
| CN110264470B (en) | Freight train tarpaulin monitoring method, device, terminal and storage medium | |
| CN113011252A (en) | Track foreign matter intrusion detection system and method | |
| CN111767913A (en) | Motor train unit vehicle fault dynamic image detection method based on deep learning | |
| CN107393304A (en) | A kind of traffic condition detection system passed through based on bayonet socket | |
| CN207725421U (en) | Vehicle wheel is to dynamic detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201010 Address after: 110013 4-3, Jing bin street, Shenhe District, Shenyang City, Liaoning province (1-7 level) Applicant after: Shenyang Railway Science and Technology Research Institute Co.,Ltd. Address before: No.4-3 Jingbin street, Shenhe District, Shenyang City, Liaoning Province Applicant before: Science and Technology Institute of China Railway Shenyang Bureau Group Co.,Ltd. |
|
| TA01 | Transfer of patent application right |