CN111915239A - Port logistics operation management system - Google Patents
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Abstract
The invention discloses a port logistics operation management system, and relates to the technical field of computers. The system comprises: harbor end, dock end and gateway operating system, wherein: the port end comprises a message data exchange module, a data transmission module, an operation information module and an application module, wherein the message data exchange module is used for connecting the wharf end, the ship generation end, the vehicle end and the yard end, the sharing of packing transfer list data information among logistics roles is realized, the data transmission module is used for providing a unified data interface for an information management system of the wharf end and the vehicle end and an information management system of the yard end, the port end is updated with information of each logistics link in real time, and the operation information module is used for vehicle, pull and driver information filing management. The whole course and real-time sharing of logistics information are realized, the intelligent and automatic degree of logistics operation is high, and the logistics operation efficiency is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a port logistics operation management system.
Background
With the rapid increase of port terminal traffic, the requirements on the management efficiency and the service level of the port terminal are higher and higher.
The existing wharf boxing transportation operation is mostly paper transfer single worker transmission, and is not suitable for the modernization and informatization management concept of a wharf, so that great waste is caused in manpower, material resources and financial resources. In addition, the conventional port logistics management mode has the defects that information among logistics roles (ship generation, pull, storage yard and wharf) is not smooth, information of each logistics link is lagged, logistics operation efficiency and logistics information are repeated, repeated acquisition and input of the logistics information exist, manpower and time are wasted, and further the logistics cost is increased.
Disclosure of Invention
In order to solve the problems of low port logistics efficiency and high cost, the invention aims to provide a port logistics operation management system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a port logistics operation management system, the system comprising: harbor end, dock end and gateway operating system, wherein: the port end comprises a message data exchange module, a data transmission module, an operation information module and an application module, wherein the message data exchange module is used for connecting the yard head end, the ship generation end, the vehicle end and the yard end to realize the sharing of packing transfer list data information among logistics roles, the data transmission module is used for providing a unified data interface for an information management system of the yard head end and the vehicle end and an information management system of the yard end to realize the real-time updating of information of each logistics link to the port end, the operation information module is used for managing the information records of vehicles, pull vehicles and drivers to provide a dispatching list for the vehicle end, provide data updating for the yard end and provide data query and statistical analysis for the yard end, and the application module is used for providing pull list receiving, query tracking, reservation, inspection and query functions; the wharf end is connected with a message data exchange module and a data transmission module and is used for acquiring a vehicle suitcase and an entrance plan in advance and updating actual entrance and exit information; the gateway operation system comprises a gateway data acquisition terminal and a gateway control module, wherein the gateway data acquisition terminal is used for acquiring license plate numbers, packing numbers, weights and packing damage information of the packing vehicles passing in and out of a wharf gateway, the gateway control module is used for sending the information acquired by the gateway data acquisition terminal to a wharf end for processing, and the gateway control module is also used for receiving a release instruction sent by the wharf end and controlling the action of a brake lever of the barrier gate according to the received release instruction.
Furthermore, the gateway data acquisition terminal comprises an acquisition unit and a control unit, the acquisition unit is located on the gateway channel, the control unit is located in the gateway sentry box, the acquisition unit is connected with the control unit, and the control unit is connected with the gateway control module.
Furthermore, the control unit comprises a control processor, an interphone, a first switch and a second switch, wherein the control processor is provided with a central control module, a license plate recognition module, a box number recognition module and an electronic license plate recognition module, and is connected with the gateway control module through the first switch; the collecting unit comprises an integrated machine, a vehicle identification camera, a packing number identification camera, a packing residue inspection camera, a wagon balance and an electronic license plate collecting device, the all-in-one machine is provided with a card reader, an intercom module, a display screen, a voice broadcasting device, a bill printing device and a serial server, the serial server is provided with a plurality of serial ports and network interfaces, the card reader, the display screen, the voice broadcasting device and the bill printing device are respectively connected with the serial ports of the serial server, the network interface of the serial server is connected with the control processor through a first switch, the talkback module is connected with the interphone through a second switch, the vehicle identification camera, the boxing number identification camera and the boxing residue detection camera are connected with the control processor through the first switch, and the wagon balance and electronic license plate collecting device is connected with the serial port of the serial port server.
Further, the electronic license plate recognition module includes: the sample collection module is used for collecting samples on the spot according to the scene of no vehicle of the initial license plate classifier detection spot; the sample is a background image of a license plate region which is falsely detected by the initial license plate classifier in the scene of no vehicle in the scene; a first classifier module, configured to add the sample to the initial training set of the license plate recognition device to obtain a first training set, and train a first classifier according to the first training set; the second classifier module is used for collecting a field dynamic second sample according to the scene that the first classifier detects the field vehicles, adding the dynamic second sample into the first training set to obtain a second training set, training a second classifier according to the second training set, and recognizing license plates according to the second classifier; the dynamic second sample is a moving image which is falsely detected as a license plate area by the first classifier in the scene of the vehicle presence on the spot; the first classifier module, comprising: a first sample feature vector unit, configured to characterize each first sample in the first training set using the HOG features to form a first sample HOG feature vector; a second sample feature vector unit, configured to characterize each second sample in the first training set using the HOG feature to form a second sample HOG feature vector; the training unit is used for training the first sample HOG feature vector and the second sample HOG feature vector by using a Boosting algorithm to obtain a first classifier; the second classifier module, comprising: the detecting unit is used for acquiring a video image obtained by detecting a scene with a car on the spot by the license plate recognition equipment, extracting a suspected license plate area in the video image, and detecting the license plate area in the suspected license plate area according to the first classifier; the recognition unit is used for segmenting a plurality of characters from the license plate region, recognizing the characters according to a license plate character recognition model trained by a Support Vector Machine (SVM), and judging the confidence coefficient of each character; and the dynamic second sample unit is used for judging whether the license plate region is effective or not according to the confidence coefficient of each character, and if the license plate region is ineffective, the license plate region is used as the on-site dynamic second sample.
Further, the dynamic second sample unit includes:
the first judgment submodule is used for judging whether the number of the characters is 7 or not;
the second judgment submodule is used for judging whether the confidence coefficient of each character is greater than or equal to a first threshold value or not if the character is judged to be larger than or equal to the first threshold value;
the third judgment submodule is used for judging whether the sum of the confidence degrees of the 7 characters is greater than or equal to a second threshold value or not if the sum of the confidence degrees of the 7 characters is greater than or equal to the second threshold value;
and the judging submodule is used for judging that the license plate area is valid if the license plate area is valid, and otherwise, judging that the license plate area is invalid.
Compared with the prior art, the invention has the following beneficial effects: the whole course and real-time sharing of logistics information are realized, the logistics operation is high in intelligentization and automation degree, the logistics operation efficiency is improved, and the logistics cost is reduced.
Drawings
The invention is described in further detail below with reference to the following figures and detailed description:
fig. 1 is a schematic system structure diagram of a port logistics operation management system disclosed in embodiment 1 of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1. It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
A port logistics operation management system, the system comprising: harbor end, dock end and gateway operating system, wherein: the port end comprises a message data exchange module, a data transmission module, an operation information module and an application module, wherein the message data exchange module is used for connecting the yard head end, the ship generation end, the vehicle end and the yard end to realize the sharing of packing transfer list data information among logistics roles, the data transmission module is used for providing a unified data interface for an information management system of the yard head end and the vehicle end and an information management system of the yard end to realize the real-time updating of information of each logistics link to the port end, the operation information module is used for managing the information records of vehicles, pull vehicles and drivers to provide a dispatching list for the vehicle end, provide data updating for the yard end and provide data query and statistical analysis for the yard end, and the application module is used for providing pull list receiving, query tracking, reservation, inspection and query functions; the wharf end is connected with a message data exchange module and a data transmission module and is used for acquiring a vehicle suitcase and an entrance plan in advance and updating actual entrance and exit information; the gateway operation system comprises a gateway data acquisition terminal and a gateway control module, wherein the gateway data acquisition terminal is used for acquiring license plate numbers, packing numbers, weights and packing damage information of the packing vehicles passing in and out of a wharf gateway, the gateway control module is used for sending the information acquired by the gateway data acquisition terminal to a wharf end for processing, and the gateway control module is also used for receiving a release instruction sent by the wharf end and controlling the action of a brake lever of the barrier gate according to the received release instruction.
Furthermore, the gateway data acquisition terminal comprises an acquisition unit and a control unit, the acquisition unit is located on the gateway channel, the control unit is located in the gateway sentry box, the acquisition unit is connected with the control unit, and the control unit is connected with the gateway control module.
Furthermore, the control unit comprises a control processor, an interphone, a first switch and a second switch, wherein the control processor is provided with a central control module, a license plate recognition module, a box number recognition module and an electronic license plate recognition module, and is connected with the gateway control module through the first switch; the collecting unit comprises an integrated machine, a vehicle identification camera, a packing number identification camera, a packing residue inspection camera, a wagon balance and an electronic license plate collecting device, the all-in-one machine is provided with a card reader, an intercom module, a display screen, a voice broadcasting device, a bill printing device and a serial server, the serial server is provided with a plurality of serial ports and network interfaces, the card reader, the display screen, the voice broadcasting device and the bill printing device are respectively connected with the serial ports of the serial server, the network interface of the serial server is connected with the control processor through a first switch, the talkback module is connected with the interphone through a second switch, the vehicle identification camera, the boxing number identification camera and the boxing residue detection camera are connected with the control processor through the first switch, and the wagon balance and electronic license plate collecting device is connected with the serial port of the serial port server.
Logistics management emphasizes the problem of using a systematic approach. Modern logistics is generally considered to consist of links of transportation, storage, packaging, handling, distribution processing, distribution and information. Each link originally has its own function, benefit and concept. The system method is to use modern management method and modern technology to make each link share the general information, and organize and manage all links as an integrated system, so that the system can provide the client service with competitive advantage under the condition of the lowest total cost. The systematic approach considers that the systematic benefits are not simply the addition of their individual local link benefits. The systematic approach means that all influencing factors are analyzed and evaluated for a problem occurring in one aspect. From the idea, the logistics system does not simply pursue the respective lowest cost on each link, because the benefits of each link of logistics tend to influence each other and restrict each other, and an alternate vulnerable relationship exists. Such as overemphasizing the savings in packaging materials, may result in increased shipping and handling costs due to their susceptibility to breakage. Thus, the system approach emphasizes the overall cost analysis and analysis that avoids sub-optimal effects and cost-balancing applications to achieve the goal of minimizing overall cost while meeting a given customer service level
Further, the electronic license plate recognition module includes: the sample collection module is used for collecting samples on the spot according to the scene of no vehicle of the initial license plate classifier detection spot; the sample is a background image of a license plate region which is falsely detected by the initial license plate classifier in the scene of no vehicle in the scene; a first classifier module, configured to add the sample to the initial training set of the license plate recognition device to obtain a first training set, and train a first classifier according to the first training set; the second classifier module is used for collecting a field dynamic second sample according to the scene that the first classifier detects the field vehicles, adding the dynamic second sample into the first training set to obtain a second training set, training a second classifier according to the second training set, and recognizing license plates according to the second classifier; the dynamic second sample is a moving image which is falsely detected as a license plate area by the first classifier in the scene of the vehicle presence on the spot; the first classifier module, comprising: a first sample feature vector unit, configured to characterize each first sample in the first training set using the HOG features to form a first sample HOG feature vector; a second sample feature vector unit, configured to characterize each second sample in the first training set using the HOG feature to form a second sample HOG feature vector; the training unit is used for training the first sample HOG feature vector and the second sample HOG feature vector by using a Boosting algorithm to obtain a first classifier; the second classifier module, comprising: the detecting unit is used for acquiring a video image obtained by detecting a scene with a car on the spot by the license plate recognition equipment, extracting a suspected license plate area in the video image, and detecting the license plate area in the suspected license plate area according to the first classifier; the recognition unit is used for segmenting a plurality of characters from the license plate region, recognizing the characters according to a license plate character recognition model trained by a Support Vector Machine (SVM), and judging the confidence coefficient of each character; and the dynamic second sample unit is used for judging whether the license plate region is effective or not according to the confidence coefficient of each character, and if the license plate region is ineffective, the license plate region is used as the on-site dynamic second sample.
The HOG feature extraction method is to extract a picture (an object or a scanning window you want to detect):
1) graying (treating the image as a three-dimensional image in x, y, z (gray scale));
2) standardizing (normalizing) the color space of the input image by using a Gamma correction method; the method aims to adjust the contrast of the image, reduce the influence caused by local shadow and illumination change of the image and inhibit the interference of noise;
3) calculating the gradient (including magnitude and direction) of each pixel of the image; mainly for capturing contour information while further attenuating the interference of illumination.
4) Dividing the image into small cells (e.g., 6 x 6 pixels/cell);
5) counting the gradient histogram (the number of different gradients) of each cell to form a descriptor of each cell;
6) and (3) forming each cell into a block (for example, 3 × 3 cells/block), and connecting the feature descriptors of all the cells in the block in series to obtain the HOG feature descriptor of the block.
7) The HOG feature descriptors of all blocks in the image are connected in series to obtain the HOG feature descriptors of the image (the target to be detected). This is the final feature vector available for classification.
Further, the dynamic second sample unit includes:
the first judgment submodule is used for judging whether the number of the characters is 7 or not;
the second judgment submodule is used for judging whether the confidence coefficient of each character is greater than or equal to a first threshold value or not if the character is judged to be larger than or equal to the first threshold value;
the third judgment submodule is used for judging whether the sum of the confidence degrees of the 7 characters is greater than or equal to a second threshold value or not if the sum of the confidence degrees of the 7 characters is greater than or equal to the second threshold value;
and the judging submodule is used for judging that the license plate area is valid if the license plate area is valid, and otherwise, judging that the license plate area is invalid.
Specifically, a Histogram of Oriented Gradients (HOG) feature is a feature descriptor used for object detection in computer vision and image processing. It constructs features by calculating and counting the histogram of gradient direction of local area of image. The Hog feature combined with the SVM classifier has been widely applied to image recognition, and particularly has been greatly successful in pedestrian detection. It should be reminded that the method for pedestrian detection by HOG + SVM is proposed by french researcher Dalal in 2005 CVPR, and although many pedestrian detection algorithms are proposed continuously nowadays, the idea of HOG + SVM is mainly used.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process and related description of the system described above may refer to the corresponding process in the foregoing method embodiments, and will not be described herein again.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (5)
1. A port logistics operation management system, characterized in that the system comprises: harbor end, dock end and gateway operating system, wherein: the port end comprises a message data exchange module, a data transmission module, an operation information module and an application module, wherein the message data exchange module is used for connecting the yard head end, the ship generation end, the vehicle end and the yard end to realize the sharing of packing transfer list data information among logistics roles, the data transmission module is used for providing a unified data interface for an information management system of the yard head end and the vehicle end and an information management system of the yard end to realize the real-time updating of information of each logistics link to the port end, the operation information module is used for managing the information records of vehicles, pull vehicles and drivers to provide a dispatching list for the vehicle end, provide data updating for the yard end and provide data query and statistical analysis for the yard end, and the application module is used for providing pull list receiving, query tracking, reservation, inspection and query functions; the wharf end is connected with a message data exchange module and a data transmission module and is used for acquiring a vehicle suitcase and an entrance plan in advance and updating actual entrance and exit information; the gateway operation system comprises a gateway data acquisition terminal and a gateway control module, wherein the gateway data acquisition terminal is used for acquiring license plate numbers, packing numbers, weights and packing damage information of the packing vehicles passing in and out of a wharf gateway, the gateway control module is used for sending the information acquired by the gateway data acquisition terminal to a wharf end for processing, and the gateway control module is also used for receiving a release instruction sent by the wharf end and controlling the action of a brake lever of the barrier gate according to the received release instruction.
2. The port logistics operation management system of claim 1, wherein: the gateway data acquisition terminal comprises an acquisition unit and a control unit, the acquisition unit is located on a gateway channel, the control unit is located in a gateway sentry box, the acquisition unit is connected with the control unit, and the control unit is connected with the gateway control module.
3. The port logistics operation management system of claim 2, wherein the control unit comprises a control processor, an interphone, a first switch and a second switch, the control processor is provided with a central control module, a license plate recognition module, a box number recognition module and an electronic license plate recognition module, and the control processor is connected with the gateway control module through the first switch; the collecting unit comprises an integrated machine, a vehicle identification camera, a packing number identification camera, a packing residue inspection camera, a wagon balance and an electronic license plate collecting device, the all-in-one machine is provided with a card reader, an intercom module, a display screen, a voice broadcasting device, a bill printing device and a serial server, the serial server is provided with a plurality of serial ports and network interfaces, the card reader, the display screen, the voice broadcasting device and the bill printing device are respectively connected with the serial ports of the serial server, the network interface of the serial server is connected with the control processor through a first switch, the talkback module is connected with the interphone through a second switch, the vehicle identification camera, the boxing number identification camera and the boxing residue detection camera are connected with the control processor through the first switch, and the wagon balance and electronic license plate collecting device is connected with the serial port of the serial port server.
4. The port logistics operation management system of claim 3 wherein said electronic license plate recognition module comprises: the sample collection module is used for collecting samples on the spot according to the scene of no vehicle of the initial license plate classifier detection spot; the sample is a background image of a license plate region which is falsely detected by the initial license plate classifier in the scene of no vehicle in the scene; a first classifier module, configured to add the sample to the initial training set of the license plate recognition device to obtain a first training set, and train a first classifier according to the first training set; the second classifier module is used for collecting a field dynamic second sample according to the scene that the first classifier detects the field vehicles, adding the dynamic second sample into the first training set to obtain a second training set, training a second classifier according to the second training set, and recognizing license plates according to the second classifier; the dynamic second sample is a moving image which is falsely detected as a license plate area by the first classifier in the scene of the vehicle presence on the spot; the first classifier module, comprising: a first sample feature vector unit, configured to characterize each first sample in the first training set using the HOG features to form a first sample HOG feature vector; a second sample feature vector unit, configured to characterize each second sample in the first training set using the HOG feature to form a second sample HOG feature vector; the training unit is used for training the first sample HOG feature vector and the second sample HOG feature vector by using a Boosting algorithm to obtain a first classifier; the second classifier module, comprising: the detecting unit is used for acquiring a video image obtained by detecting a scene with a car on the spot by the license plate recognition equipment, extracting a suspected license plate area in the video image, and detecting the license plate area in the suspected license plate area according to the first classifier; the recognition unit is used for segmenting a plurality of characters from the license plate region, recognizing the characters according to a license plate character recognition model trained by a Support Vector Machine (SVM), and judging the confidence coefficient of each character; and the dynamic second sample unit is used for judging whether the license plate region is effective or not according to the confidence coefficient of each character, and if the license plate region is ineffective, the license plate region is used as the on-site dynamic second sample.
5. The port logistics operation management system of claim 4, wherein the dynamic second sample unit comprises:
the first judgment submodule is used for judging whether the number of the characters is 7 or not;
the second judgment submodule is used for judging whether the confidence coefficient of each character is greater than or equal to a first threshold value or not if the character is judged to be larger than or equal to the first threshold value;
the third judgment submodule is used for judging whether the sum of the confidence degrees of the 7 characters is greater than or equal to a second threshold value or not if the sum of the confidence degrees of the 7 characters is greater than or equal to the second threshold value;
and the judging submodule is used for judging that the license plate area is valid if the license plate area is valid, and otherwise, judging that the license plate area is invalid.
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