CN109344828A - A kind of container representation acquisition system and container loading condition detection method - Google Patents

A kind of container representation acquisition system and container loading condition detection method Download PDF

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Publication number
CN109344828A
CN109344828A CN201811159979.1A CN201811159979A CN109344828A CN 109344828 A CN109344828 A CN 109344828A CN 201811159979 A CN201811159979 A CN 201811159979A CN 109344828 A CN109344828 A CN 109344828A
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CN
China
Prior art keywords
container
video camera
vehicle
haulage vehicle
representation
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
Application number
CN201811159979.1A
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Chinese (zh)
Inventor
顾闻
龚雪
张和
李�瑞
汪洋成威
何姗
邱平平
方亚非
黄泽星
赵茜茹
雷娜娜
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CREEC Wuhan Survey Design and Research Co Ltd
China Railway Wuhan Survey and Design and Institute Co Ltd
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CREEC Wuhan Survey Design and Research Co Ltd
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Publication date
Application filed by CREEC Wuhan Survey Design and Research Co Ltd filed Critical CREEC Wuhan Survey Design and Research Co Ltd
Priority to CN201811159979.1A priority Critical patent/CN109344828A/en
Publication of CN109344828A publication Critical patent/CN109344828A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/63Scene text, e.g. street names
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation 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
    • G06V10/267Segmentation 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/66Remote control of cameras or camera parts, e.g. by remote control devices
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70Circuitry for compensating brightness variation in the scene
    • H04N23/74Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)

Abstract

The present invention provides a kind of container representation acquisition system and container loading condition detection methods, system includes haulage vehicle, the haulage vehicle is equipped with gravity switch, controller and video camera, wherein, the gravity switch, for sending enabling signal to the controller when detecting that the load-carrying of the haulage vehicle changes;The controller obtains the container representation of the video camera acquisition, the container representation is sent to receiving end for starting the video camera after receiving the enabling signal.Using the embodiment of the present invention, the collection process of container information is simplified.

Description

A kind of container representation acquisition system and container loading condition detection method
Technical field
The present invention relates to Railway Freight Transportation technical field more particularly to a kind of container representation acquisition system and containers Loading condition detection method.
Background technique
Container is the carrier for transporting cargo, and in cargo transport system, container number is used for unique identification container, By container number, can know container covers cargo transport starting point, destination, cargo type, quantity, weight, collection The information such as packing measurement(s).Six face of container body is respectively marked with the case number (CN) for meeting international standard.
Currently, the corresponding multiple port and pier railway container yards (port area, goods area) in the preceding station in a railway port (port station) When, the container train of port station can load container to different port area and unload.Due to needing to load and unload to container, It can be organized into groups again to the container stacked has been fixed.In order to ensure the accuracy of cargo transport, need to acquire container Information, with utilize the container states information such as the case number (CN) of information container loaded to container train and model carry out core It is right.
Currently, being difficult the information of automatic collection container, therefore due to the limitation because of rail yard and transporting equipment condition It is necessary to design a kind of container representation acquisition system, to solve the problems, such as that container information is difficult to acquire.
Summary of the invention
It is an object of the invention to overcome the defect of the prior art, a kind of container representation acquisition system and packaging are provided Case loading condition detection method, to realize the collection process for simplifying container information.
The present invention is implemented as follows:
In a first aspect, the present invention provides a kind of container representation acquisition system, system includes haulage vehicle, the transport vehicle Be equipped with gravity switch, controller and video camera, wherein
The gravity switch, for being sent out to the controller when detecting that the load-carrying of the haulage vehicle changes Send enabling signal;
The controller obtains the video camera and adopts for starting the video camera after receiving the enabling signal The container representation is sent to receiving end by the container representation of collection.
Optionally, the car body two sides and car body rear and front end of the haulage vehicle are equipped with video camera.
Optionally, the bottom bracket with outward extension of the car body two sides of the haulage vehicle, in each bracket It is equipped with the video camera.
Optionally, each bracket includes two telescopic rods, is equipped with video camera on each telescopic rod;
The controller is also used to when starting the video camera, is controlled each telescopic rod and is stretched out;Obtaining the packaging After case image, closes the video camera and control each telescopic rod retraction vehicle bottom.
Optionally, the haulage vehicle is additionally provided with light compensating lamp and optical flame detector;
The optical flame detector, for sending and mending to controller when the brightness for detecting haulage vehicle is lower than preset threshold Light instruction;
The controller is also used to after receiving light filling instruction, if receiving the enabling signal, synchronous averaging institute State light compensating lamp and the video camera.
Optionally, the controller is also used to after obtaining the container representation, closing the video camera and described Light compensating lamp.
Second aspect, the present invention provide a kind of container loading condition detection method, connect applied to any of the above-described described Receiving end, which comprises
The container representation that controller is sent is received, the container representation is divided into preset quantity sub-regions, it is right Each subregion is identified, the actual information of the loaded container of haulage vehicle is obtained;The actual information includes having identified The loaded container of the haulage vehicle case number (CN) and model;
It obtains vehicle and loads and unloads information, the vehicle handling information includes that the haulage vehicle recorded in storage record is filled Carry the case number (CN) and model of container;
Judge whether the case number (CN) in case number (CN) and the actual information in the vehicle handling information is identical, the vehicle fills Whether the model unloaded in the model and the actual information in information is identical;
If vehicle loads and unloads the case number (CN) in information, the identical and described vehicle is loaded and unloaded in information with the case number (CN) in the actual information Model it is identical with the model in the actual information, then determine to check successfully;Otherwise, it is determined that verification is unsuccessful;
After receiving loading and completing instruction, determine that the loading condition of container is to have loaded completion;Receiving unloading After completing instruction, determine that the loading condition of container is unloaded completion.
Optionally, the method also includes:
The container representation and the source images in container representation library are compared, each source images and the container are obtained Similarity between image, using damaged state corresponding to the highest source images of similarity as the damaged shape of container representation State, the container representation library is for storing source images and its corresponding damaged state.
Optionally, the method also includes:
After determining to check successfully, the actual information is sent to railway automation control system, so that the railway Automatic control system loads and unloads information with the vehicle that the actual information of the haulage vehicle updates the haulage vehicle;
After determining that verification is unsuccessful, send a warning message to railway automation control system.
Optionally, the actual information further include each container that the identified haulage vehicle is loaded position and Sum identifies each subregion, obtains the actual information of the loaded container of haulage vehicle, comprising:
To each subregion carry out image enhancement processing, and to the character in each subregion after image enhancement processing into Row positioning, obtains case number (CN) region;
Using character recognition technologies, the character in case number (CN) region is identified, case number (CN) is obtained;
Using edge detecting technology, the model of the quantity of container, the position of each container and each container is detected.
The invention has the following advantages: can detect fortune using technical solution provided in an embodiment of the present invention When the load-carrying of defeated vehicle changes, container representation is acquired using the video camera on haulage vehicle, completes container representation Automatic collection, since container representation can reflect container information, it is achieved that simplifying the collection process of container information. And since video camera is mounted on haulage vehicle, so that entire acquisition system has certain mobility, it is no longer influenced by inspection Survey place influence, detection process is more convenient, also improve to a certain extent container transshipment operation working efficiency and Accuracy rate.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of structural schematic diagram of container representation acquisition system provided in an embodiment of the present invention;
Fig. 2 is a kind of top view using haulage vehicle provided in an embodiment of the present invention;
Fig. 3 is the side view of haulage vehicle provided in an embodiment of the present invention;
Fig. 4 is another top view of haulage vehicle provided in an embodiment of the present invention;
Fig. 5 is a kind of flow diagram of container loading condition detection method provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other Embodiment shall fall within the protection scope of the present invention.
To solve prior art problem, the embodiment of the invention provides a kind of container representation acquisition systems.Below to this A kind of provided container representation acquisition system is invented to be illustrated.
Referring to Fig. 1, Fig. 1 is a kind of container representation acquisition system provided in an embodiment of the present invention, and system includes transport vehicle , haulage vehicle is equipped with gravity switch, controller and video camera, wherein
The gravity switch, for being sent out to the controller when detecting that the load-carrying of the haulage vehicle changes Send enabling signal;
The controller obtains the video camera and adopts for starting the video camera after receiving the enabling signal The container representation is sent to receiving end by the container representation of collection.
The present invention to the type of haulage vehicle without limitation, such as can for power device track power flatcar, Common railway vehicle etc., so that haulage vehicle can be by the power traveling that self power device provides;Or without dynamic The rolling stock of power device, so that haulage vehicle is travelled by the power of traction locomotive;Haulage vehicle can have nobody and drive Function is sailed, it can also be by pilot steering.One haulage vehicle can load one or more containers.
When charging crane unloads container or charging crane for container loading to haulage vehicle, Huo Zheyun from haulage vehicle When the container of defeated vehicle loading is fallen accidentally during transportation, the load-carrying of haulage vehicle will change, at this point, gravity is opened Enabling signal can be sent to controller by closing, and enabling signal is used to indicate controller and opens video camera, so that controller is receiving To after enabling signal, video camera can star, and obtain the container representation of video camera acquisition, container representation is sent to and is connect Receiving end.
Gravity switch can have one or more, when gravity switch has it is multiple when, each gravity switch detecting transport When the load-carrying of vehicle changes, enabling signal can be sent to controller, when the enabling signal quantity that controller receives is super When crossing gravity total number of switches, controller can star video camera.Presupposition multiple is preset, can for half, three/ Three one ,/second-class.
Charging crane can be track crane, front handling mobile crane, gantry crane etc..Charging crane can receive production plan, in production plan May include initial position locating for container and container by by put to target position, according to production plan, charging crane can To grab container from initial position, and by the container loading grabbed to target position.Initial position can be some fortune Defeated vehicle or goods area for storage container;Target position may be some haulage vehicle or goods area, to complete The loading or unloading of container.
During video camera acquires container representation, haulage vehicle may be at motion state, also may be at quiet Only state, that is, the video camera being installed on haulage vehicle static can also be imaged, with Flying Camera to acquire resulting collection Vanning image can be dynamic image, be also possible to still image.
Using technical solution provided in an embodiment of the present invention, can when the load-carrying for detecting haulage vehicle changes, Container representation is acquired using the video camera on haulage vehicle, the automatic collection of container representation is completed, due to container representation It can reflect container information, it is achieved that simplifying the collection process of container information.And since video camera is mounted on fortune On defeated vehicle, so that entire acquisition system has certain mobility, it is no longer influenced by the influence in detection place, detection process is more It is convenient to add, and also improves the working efficiency and accuracy rate of container transshipment operation to a certain extent.
In other embodiments, controller can also be after being sent to receiving end for container representation, or is obtaining After container representation, video camera is closed;Therefore, it is only necessary to start video camera when shooting image, can close when not in use Video camera is closed, to save system resource.
In addition, video camera can also automatically switch to standby mode after taking preset quantity image, without by controlling Device processed is closed.Preset quantity can be previously set, and can be one, or multiple.
Each video camera can acquire one or more image, can successively be sent to the image that each video camera is shot The image that all video cameras are shot uniformly can also be sent to receiving end simultaneously by receiving end.
In order to simplify subsequent image processing process, in other embodiments, controller is also used to:
After receiving the enabling signal, before starting the video camera, detect whether the haulage vehicle is in Driving status;If being not in driving status, the starting video camera is executed;If driving status is in, to haulage vehicle Driving part sends cutoff command, so that driving part is after receiving cutoff command, stops driving haulage vehicle, and to control Device is sent completely stop sign, so that controller can execute starting video camera.
Using the embodiment of the present invention, so that video camera is to shoot under static state, so that container representation is quiet State image since the treatment process of still image is simple, therefore simplifies subsequent image processing process.
The car body two sides and car body rear and front end of haulage vehicle are equipped with video camera.Video camera can for monocular-camera, Binocular camera, industrial camera etc..In order to improve Image Acquisition precision, all video cameras can be industrial camera.
Specifically, the bottom bracket with outward extension of the car body two sides of haulage vehicle, is equipped in each bracket and takes the photograph One or more video cameras can be set on each bracket in camera, and car body rear and front end can be respectively set one or more and take the photograph Camera.Bracket can be movable support, be also possible to inactive bracket.Movable support is that pipeline and supporting structure is allowed to have relatively The support of pipelines of displacement.
In order to more fully shoot container, while also save the cost, each bracket include two extension rods, Mei Yiyan The outboard end of boom is equipped with a video camera, and the video camera of car body rear and front end is separately fixed at car body by fixation member Among front end and among rear end.The length of extension rod can be set according to demand, and the length of each extension rod can be equal, as long as The body side of container can be taken by guaranteeing each video camera.Fixation member can be bolt, fixed link etc..
In addition, two ipsilateral extension rods can be parallel, it can also be not parallel.Two opposite extension rods may be at together On one straight line, it can also be not on same straight line.Extension rod can be the telescopic rod with Telescopic, or not have There is the common bar of Telescopic.
In order to not influence the traveling of haulage vehicle, extension rod is the telescopic rod with Telescopic, and controller is taken the photograph in starting When camera, controls each telescopic rod and stretch out;After obtaining container representation, video camera can be closed and control each telescopic rod contracting Vehicle bottom is returned, influence of the video camera to haulage vehicle of vehicle body side is reduced.It, can be pre- in order to improve the safety of system The maximum length of telescopic rod is first set, so that telescopic rod stretches out the maximum length of car body within safe distance, to ensure that Haulage vehicle will not because of telescopic rod length it is too long and cross rolling stock clearance.With the difference of safe distance, stretch The maximum length of contracting bar can be between 400~500.Such as: reserved safe distance is 25mm, and the normal width of container is 2350mm, rolling stock clearance are 3400mm, then it is 500mm that video camera, which can stretch out the maximum length of vehicle body side, ((3400-2350-25*2)/2=500), therefore the maximum length of telescopic rod is 500mm.
Specifically, the structure chart of haulage vehicle can be as in Figure 2-4, wherein Fig. 2 is top view, and Fig. 3 is side view, Fig. 4 is also top view, and the telescopic rod in Fig. 2 is withdrawn vehicle bottom, and the telescopic rod in Fig. 4 has stretched out car body two sides, Fig. 2-4 In, 21 indicate track power flatcar, and 201 indicate video camera, and 202 indicate gravity switch, and 203 indicate container, and 204 indicate flexible Bar, it can be seen that the video camera of car body two sides is symmetrical arranged, and the video camera of car body rear and front end is also symmetrical arranged, it is thus possible to Guarantee that the acquisition angles of each video camera are identical, controller can respectively be taken the photograph after receiving enabling signal with each video camera of synchronous averaging Camera can obtain the packaging on four surfaces of container with the box appearance on four surfaces in synchronous acquisition container front, rear, left and right Case image.Using the embodiment of the present invention, realize to the acquisition of the high-definition image in cabinet multiple faces, though some face case number (CN) by In the case where damaging or being blocked, still container information can be obtained by the container representation of other faces,
In addition, in order to reduce influence of the light variation to collection effect, haulage vehicle is additionally provided with light compensating lamp and optical flame detector;
The optical flame detector, for sending and mending to controller when the brightness for detecting haulage vehicle is lower than preset threshold Light instruction;
The controller is also used to after receiving light filling instruction, if receiving the enabling signal, synchronous averaging institute State light compensating lamp and the video camera.
The brightness of haulage vehicle refers to the intensity of haulage vehicle surface reflection, for reflecting haulage vehicle local environment Light intensity, the brightness of haulage vehicle show that greatly light is stronger;The brightness of haulage vehicle is small to show that light is weaker.Due to light Line power has a major impact the clarity of acquisition image, and therefore, optical flame detector can be low in the brightness for detecting haulage vehicle When preset threshold, light filling instruction is sent to controller;To which controller can open after receiving light filling instruction if receiving Dynamic signal, then synchronous averaging light compensating lamp and video camera, ensure that the brightness of haulage vehicle not less than preset threshold, reduces outer The light of boundary's environment changes the influence to collection effect.Preset threshold can be previously set according to demand, it is not limited here.
In addition, in order to save system resource, controller can also be after obtaining the container representation, or by packaging After case image is sent to receiving end, video camera and light compensating lamp are closed.
The present invention also provides a kind of container loading condition detection methods, applied to above-mentioned receiving end, referring to Fig. 5, institute State method the following steps are included:
S101, the container representation that controller is sent is received, the container representation is divided into preset quantity sub-district Domain identifies each subregion, obtains the actual information of the loaded container of haulage vehicle;Actual information includes having identified The loaded container of the haulage vehicle case number (CN) and model.
Receiving end can have the electronic equipment of information processing capability for server, PC etc.,
The model of usual container can be divided into two kinds of models of 40 feet of cabinets and 20 feet of cabinets, and the size of 40 feet of cabinets is 40X8X8.6 feet (internal diameter 12024*2352*2390mm), the size of 20 feet of cabinets is 20X8X8.6 feet of (internal diameter 5898* 2352*2390mm).One haulage vehicle can have 2 20 feet of 40 feet of cabinet/4,40 feet of cabinet/1 under full load conditions Three kinds of loading combined situations including cabinet and 2 20 feet of cabinets;In part-load situation, can only have 1 40 feet of cabinet/1 A variety of loadings such as a 20 feet of 20 feet of cabinet/2,20 feet of cabinet/3 40 feet of cabinet/1 cabinet and 1 20 feet of cabinet combine feelings Condition.
In order to realize quick identification, container representation can be divided into preset quantity sub-regions, such as can divide For upper left, lower-left, upper right, 4 sub-regions of bottom right, alternatively, two sub-regions of upper and lower part can also be divided into.In turn, may be used Using parallel processing technique, synchronizing or successively identifying to each subregion, the loaded container of haulage vehicle is obtained Actual information.Actual information may include the position of the case number (CN) of the loaded container of identified haulage vehicle, model, each container It sets and the information such as sum.
Due to being influenced by video camera irradiating angle, the container representation of video camera acquisition may have a distortion, therefore can be It is divided into before subregion, aberration correction technique can also be used, reduction reparation is carried out to it, further promote identification Accuracy rate.The present invention without limitation, such as can go to repair using existing distortion tool to specific aberration correction technique, It can go to repair using the distortion algorithm of designed, designed.
When only one video camera, container representation can have one or more, when there is multiple container representations, connect Receiving end can all identify every container representation, and using the most case number (CN) of frequency of occurrence in recognition result as packaging The case number (CN) of case;It is identified alternatively, also can choose the highest container representation of clarity, obtains the case number (CN) of container;Alternatively, Successively every container representation can be handled, can no longer be located after identifying case number (CN) in certain container representation Manage other container representations.
When video camera can have it is multiple, each video camera can shoot some surface of container body one or more collection Vanning image can be directed to each video camera, and the image acquired with the video camera identify the case number (CN) on some surface of cabinet, After the case number (CN) for identifying each face, integrated complementary judgement can be carried out to resulting each case number (CN), to determine final case number (CN).Example Such as, it when the case number (CN) when some face has abrasion, can not identify the specific case number (CN) in the face, or can not identify some word in case number (CN) Symbol, then can be supplemented by other faces, to obtain complete case number (CN).
Specifically, being directed to each container representation to be identified, each subregion is identified, haulage vehicle institute is obtained The actual information for loading container, may comprise steps of:
To each subregion carry out image enhancement processing, and to the character in each subregion after image enhancement processing into Row positioning, obtains case number (CN) region;Using character recognition technologies, the character in case number (CN) region is identified, case number (CN) is obtained;It utilizes Edge detecting technology detects the model of the quantity of container, the position of each container and each container.
Image enhancement processing can improve the visual effect of image, for example, certain keynote messages can be protruded, inhibit simultaneously Certain unwanted information, to improve the visual effect of image.Specifically, spatial domain enhancement method can be used, it can also be with Using frequency domain enhancement method.
Image can be increased to realize using machine learning model or edge detecting technology or the method for vertical-horizontal projection Character locating in strong treated each subregion, obtains case number (CN) region.And then it can be by character recognition technologies, to case number (CN) Character in region is identified, case number (CN) is obtained.
Due to the height and of same size, length difference of 40 feet of cabinets and 20 feet of cabinets, and length is along haulage vehicle Driving direction, therefore the container representation for being located at the video camera shooting of car body rear and front end can not accurately distinguish out the number of container Amount, can use edge detecting technology, and the container representation shot to the video camera for being located at car body two sides carries out frame detection, from And the frame of container can be oriented, using the position of frame as the position of container, using the quantity of frame as container Quantity, and the model of container can be determined according to frame size;Alternatively, can also be using case number (CN) region as container Position using the quantity in case number (CN) region as the quantity of container, and then detects frame size using edge detecting technology, and can To determine the model of container according to frame size.
The model that container is determined according to frame size, is specifically as follows:
Using frame of the frame length in default first length range as 40 feet of cabinet frames, by frame length default Frame in second length range is as 20 feet of cabinet frames;Determine 40 English of model of container corresponding to 40 feet of cabinet frames Ruler cabinet determines 20 feet of cabinets of model of container corresponding to 20 feet of cabinet frames.
Default first length range and default second length range can be preset, such as default first length range can Think 38~42 feet, 37~41 feet etc., preset the second length can be 17~21 feet, 18~22 feet etc., one The corresponding container of a frame.
Alternatively, can be with are as follows:, will using frame of the frame area in default first areal extent as 40 feet of cabinet frames Frame of the frame area within the scope of default second area is as 20 feet of cabinet frames;Determine packaging corresponding to 40 feet of cabinet frames 40 feet of cabinets of model of case determine 20 feet of cabinets of model of container corresponding to 20 feet of cabinet frames.
Default first areal extent and default second area range can be preset, it is not limited here, for example, default First areal extent and default second area range can be respectively as follows: 266~322 square feet and 136~166 square feet.
Due to container abrasion that may be present in transit, cause the case number (CN) on container body smudgy, nothing Method identification.By the way that the case number (CN) of container, in this case, method can not be identified in acquired image completely further include: by nothing Method identifies that case number (CN) zone marker is " case number (CN) missing " region.Using the embodiment of the present invention, " case number (CN) missing " region can be known, from And it is convenient for maintenance and reparation of the later period to container.
S102, vehicle handling information is obtained, vehicle handling information includes the haulage vehicle institute recorded in storage record Load the case number (CN) and model of container;
There can be a plurality of record in storage record, every record is corresponding to record license number, case number (CN) and model etc., and license number is unique Identify haulage vehicle, the letter such as case number (CN) and the model of a record for recording the loaded container of haulage vehicle with the license number Breath.Actual information is the case number (CN) identified by image recognition technology and model.Storage record can be located at railway automation In control system, it can also be located in other storage units.
Whether S103, the case number (CN) for judging that the vehicle loads and unloads in case number (CN) and the actual information in information are identical, described Whether the model that vehicle loads and unloads in model and the actual information in information is identical;
If S104, vehicle load and unload the case number (CN) in information, the identical and described vehicle handling are believed with the case number (CN) in the actual information Model in breath is identical with the model in the actual information, then determines to check successfully;Otherwise, it is determined that verification is unsuccessful;
In a kind of implementation, the method also includes:
After determining to check successfully, the actual information is sent to railway automation control system, so that the railway Automatic control system loads and unloads information with the vehicle that the actual information of the haulage vehicle updates the haulage vehicle;
After determining that verification is unsuccessful, send a warning message to railway automation control system.
Due to that can also include the position of container in actual information, and vehicle handling information be generated by wagon loading plan, therefore Do not include the position of container, after determining to check successfully, actual information is sent to railway automation control system, so that iron The vehicle that the actual information of road automatic control system haulage vehicle updates haulage vehicle loads and unloads information, so that storage note It include the position of container in record.So that storage record is more comprehensively and timely.
If vehicle loads and unloads, the case number (CN) in case number (CN) and actual information in information is not identical or the vehicle loads and unloads information In model and the actual information in model it is not identical, then determine to check unsuccessful.Warning information is for prompting user's core It to unsuccessful, and may include checking unsuccessful reason, so as to guide user to perform corresponding processing.Using the present invention Embodiment improves the reliability of system.
S105, receive load complete instruction after, determine container loading condition be loaded completion;It is receiving After instruction is completed in unloading, determine that the loading condition of container is unloaded completion.
It loads completion instruction and unloading completes instruction and may come from railway automation control system, when charging crane completion fills After vehicle production plan, it can send to load to railway automation control system and complete information, thus railway automation control system It can send to load to receiving end and complete instruction;After charging crane completes car unloading operation plan, it can be controlled to railway automation System sends unloading and completes information, so that railway automation control system, which can send unloading to receiving end, completes instruction.Certainly, In other embodiments, it loads completion instruction and unloading completes instruction and may come from charging crane, i.e., when charging crane completion fills After vehicle production plan, it directly can send to load to receiving end and complete instruction;It, can be with after charging crane completes car unloading operation plan Unloading, which is sent, to receiving end completes instruction.
As it can be seen that using technical solution provided in an embodiment of the present invention, since container representation is by being located at haulage vehicle Video camera acquisition, therefore the image acquired more acurrate, more real-time can reflect container information, in turn, receiving end utilizes institute Received container representation, checks case number (CN) and signal, simplifies audit process, improves verification efficiency and checked result Accuracy, and container loading state-detection can also determine the loading condition of container, further enrich detection content, So that testing result is more comprehensive.
In order to identify whether container is damaged, in a kind of implementation, the method also includes:
The container representation and the source images in container representation library are compared, each source images and the container are obtained Similarity between image, using damaged state corresponding to the highest source images of similarity as the damaged shape of container representation State, the container representation library is for storing source images and its corresponding damaged state.
Receiving end can establish container representation library, and damaged state includes box deformation, chamber door deformation, chamber door loss, case Body has galling mouth and cabinet to crash through the states such as mouth.Some container representations and each collection can be stored in advance in container representation library It cases the damaged state of image, the container representation in container representation library is properly termed as source images, the damaged state of source images It can be what expert marked in advance, be also possible to learn out with machine learning model in advance.For unbroken container, The damaged state of its container representation is nothing.
Similarity is used for the similarity degree reflected between two images, and the higher content for showing two images of similarity more connects Closely.Using damaged state corresponding to the highest source images of similarity as the damaged state of container representation, realize to packaging The identification of case broken state.
In addition, " packaging case broken " label can also be carried out to damaged container after obtaining packaging case broken state Processing, maintenance and reparation convenient for the later period to container.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of container representation acquisition system, which is characterized in that system includes haulage vehicle, and the haulage vehicle is equipped with gravity Switch, controller and video camera, wherein
The gravity switch, for being opened to controller transmission when detecting that the load-carrying of the haulage vehicle changes Dynamic signal;
The controller obtains the video camera acquisition for starting the video camera after receiving the enabling signal The container representation is sent to receiving end by container representation.
2. system according to claim 1, which is characterized in that the car body two sides and car body rear and front end of the haulage vehicle It is equipped with video camera.
3. system according to claim 2, which is characterized in that the bottom of the car body two sides of the haulage vehicle is equipped with outside The bracket of extension is equipped with the video camera in each bracket.
4. system according to claim 3, which is characterized in that each bracket includes two telescopic rods, each telescopic rod On be equipped with video camera;
The controller is also used to when starting the video camera, is controlled each telescopic rod and is stretched out;Obtaining the container figure As after, closes the video camera and control each telescopic rod retraction vehicle bottom.
5. system according to claim 1, which is characterized in that the haulage vehicle is additionally provided with light compensating lamp and optical flame detector;
The optical flame detector, for sending light filling to controller and referring to when the brightness for detecting haulage vehicle is lower than preset threshold It enables;
The controller is also used to after receiving light filling instruction, if receiving the enabling signal, is mended described in synchronous averaging Light lamp and the video camera.
6. system according to claim 5, which is characterized in that the controller is also used to obtaining the container figure As after, the video camera and the light compensating lamp are closed.
7. a kind of container loading condition detection method, which is characterized in that applied to any reception of claim 1-6 End, which comprises
The container representation that controller is sent is received, the container representation is divided into preset quantity sub-regions, to each Subregion is identified, the actual information of the loaded container of haulage vehicle is obtained;The actual information includes identified institute State the case number (CN) and model of the loaded container of haulage vehicle;
It obtains vehicle and loads and unloads information, the vehicle handling information includes that the haulage vehicle recorded in storage record loads collection The case number (CN) and model of vanning;
Judge whether the case number (CN) in case number (CN) and the actual information in the vehicle handling information is identical, the vehicle handling are believed Whether the model in model and the actual information in breath is identical;
If vehicle loads and unloads type of the case number (CN) in information with the case number (CN) in the actual information in the identical and described vehicle handling information It is number identical with the model in the actual information, then determine to check successfully;Otherwise, it is determined that verification is unsuccessful;
After receiving loading and completing instruction, determine that the loading condition of container is to have loaded completion;It is completed receiving unloading After instruction, determine that the loading condition of container is unloaded completion.
8. the method according to the description of claim 7 is characterized in that the method also includes:
The container representation and the source images in container representation library are compared, each source images and the container representation are obtained Between similarity, using damaged state corresponding to the highest source images of similarity as the damaged state of container representation, institute Container representation library is stated for storing source images and its corresponding damaged state.
9. the method according to the description of claim 7 is characterized in that the method also includes:
After determining to check successfully, the actual information is sent to railway automation control system, so that the railway is automatic Networked control systems load and unload information with the vehicle that the actual information of the haulage vehicle updates the haulage vehicle;
After determining that verification is unsuccessful, send a warning message to railway automation control system.
10. the method according to the description of claim 7 is characterized in that the actual information further includes the identified transport The position for each container that vehicle is loaded and sum, identify each subregion, obtain the loaded packaging of haulage vehicle The actual information of case, comprising:
Image enhancement processing is carried out to each subregion, and the character in each subregion after image enhancement processing is determined Position, obtains case number (CN) region;
Using character recognition technologies, the character in case number (CN) region is identified, case number (CN) is obtained;
Using edge detecting technology, the model of the quantity of container, the position of each container and each container is detected.
CN201811159979.1A 2018-09-30 2018-09-30 A kind of container representation acquisition system and container loading condition detection method Pending CN109344828A (en)

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Application publication date: 20190215