CN110969897A - Port berth scheduling system based on radio frequency tag technology - Google Patents
Port berth scheduling system based on radio frequency tag technology Download PDFInfo
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- CN110969897A CN110969897A CN201811151176.1A CN201811151176A CN110969897A CN 110969897 A CN110969897 A CN 110969897A CN 201811151176 A CN201811151176 A CN 201811151176A CN 110969897 A CN110969897 A CN 110969897A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
Abstract
The invention discloses a port berth scheduling system based on a radio frequency tag technology, which comprises: the system comprises a radio frequency signal transmitter arranged on a ship entering a port, a radio frequency signal receiver arranged in a port management center, and a control unit, wherein the radio frequency signal transmitter continuously transmits a radio frequency signal with basic ship information outwards; the management center main controller is internally provided with a deep learning model, a matching matrix of the ship and each berth is input into the deep learning model to perform autonomous learning to obtain a classification model meeting a precision threshold, and the classification model is solved to obtain berth information matched with the ship. The technical scheme of the invention can effectively improve the efficiency of berth scheduling.
Description
Technical Field
The invention relates to the technical field of port scheduling, in particular to a port berth scheduling system based on a radio frequency tag technology.
Background
With the continuous development of the harbor transportation industry in China, the development trend of large-scale, comprehensive and offshore of harbors is increasingly prominent. With the continuous improvement of port throughput, the number of ships entering and leaving each day is increasing day by day, and the development of efficient and safe port management systems is urgently needed. Large ports currently typically have submersible docks located onshore as well as deepwater docks located offshore. The harboring ship is divided into large, medium and small according to the load capacity and the scale of a ship body, how to ensure the utilization rate of each berth of a wharf and ensure the safety of ship mooring, and the harboring ship allocates deep water berths and small ships with diving berths, thereby changing the situation that berth scheduling is carried out by depending on the experience of managers in the past and becoming a technical bottleneck restricting the perfection of a harbor management system.
Disclosure of Invention
According to the problems in the prior art, the invention discloses a port berth scheduling system based on a radio frequency tag technology, which can realize automatic matching of a ship and a berth according to ship type and berth basic information and realize safe mooring.
The technical scheme of the invention is as follows:
a port berth scheduling system based on radio frequency label technology, the system includes:
the system comprises a radio frequency signal transmitter arranged on a harboring ship, wherein the radio frequency signal transmitter continuously transmits a radio frequency signal with ship basic information outwards, and the ship basic information comprises a ship name, a ship model, a ship tonnage, an actual load and a ship length;
the system comprises a radio frequency signal receiver arranged in a port management center, a main controller and a control center, wherein the radio frequency signal receiver periodically receives basic ship information and transmits the basic ship information to the main controller of the management center;
the system comprises mooring environment acquisition units arranged at each berth of a port, wherein the mooring environment acquisition units acquire mooring information, and the mooring information comprises weather, sea conditions and berth basic information and is sent to a main controller of a management center;
the method comprises the steps of setting a deep learning model in a main controller of a management center, defining basic information of a ship as a long description, defining mooring information as a short description, processing the long description and the short description into text matrixes M and N respectively, multiplying the text matrix M of the long description by a weight value η, adding the text matrix N generated by the short description to obtain a matching matrix of the ship at each berth, inputting the matching matrix of the ship and each berth into the deep learning model for autonomous learning to obtain a classification model meeting a precision threshold, and solving the classification model to obtain berth information matched with the ship.
Further, the management center main controller adopts a support vector machine algorithm to carry out classification training on the deep learning model.
Furthermore, the system also comprises a display terminal arranged on the ship, and after the management center main controller selects the berth according to the deep learning model, the berth route is indicated for the crew.
Further, the system further comprises a cloud server, and the cloud server stores working parameters of all parts of the system, the acquired ship basic information and mooring information.
Due to the adoption of the technical scheme, the port berth dispatching system based on the radio frequency tag technology stores various data of ships through the main controller of the management center, combines the natural environment information of berths, establishes an effective classification model through deep learning, realizes the automatic matching of the ships and the berths, and greatly improves the working efficiency of the port dispatching system.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be 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 described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the technical solutions and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the drawings in the embodiments of the present invention:
as shown in fig. 1, a port berth dispatching system based on radio frequency tag technology includes:
the system comprises a radio frequency signal transmitter arranged on a harboring ship, wherein the radio frequency signal transmitter continuously transmits a radio frequency signal with ship basic information outwards, and the ship basic information comprises a ship name, a ship model, a ship tonnage, an actual load and a ship length;
the system comprises a radio frequency signal receiver arranged in a port management center, a main controller and a control center, wherein the radio frequency signal receiver periodically receives basic ship information and transmits the basic ship information to the main controller of the management center;
the system comprises mooring environment acquisition units arranged at each berth of a port, wherein the mooring environment acquisition units acquire mooring information, and the mooring information comprises weather, sea conditions and berth basic information and is sent to a main controller of a management center;
the method comprises the steps of setting a deep learning model in a main controller of a management center, defining basic information of a ship as a long description, defining mooring information as a short description, processing the long description and the short description into text matrixes M and N respectively, multiplying the text matrix M of the long description by a weight value η, adding the text matrix N generated by the short description to obtain a matching matrix of the ship at each berth, inputting the matching matrix of the ship and each berth into the deep learning model for autonomous learning to obtain a classification model meeting a precision threshold, and solving the classification model to obtain berth information matched with the ship.
Further, the management center main controller adopts a support vector machine algorithm to carry out classification training on the deep learning model.
Furthermore, the system also comprises a display terminal arranged on the ship, and after the management center main controller selects the berth according to the deep learning model, the berth route is indicated for the crew.
Further, the system further comprises a cloud server, and the cloud server stores working parameters of all parts of the system, the acquired ship basic information and mooring information.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. A port berth scheduling system based on radio frequency label technology is characterized in that the system comprises:
the system comprises a radio frequency signal transmitter arranged on a harboring ship, wherein the radio frequency signal transmitter continuously transmits a radio frequency signal with ship basic information outwards, and the ship basic information comprises a ship name, a ship model, a ship tonnage, an actual load and a ship length;
the system comprises a radio frequency signal receiver arranged in a port management center, a main controller and a control center, wherein the radio frequency signal receiver periodically receives basic ship information and transmits the basic ship information to the main controller of the management center;
the system comprises mooring environment acquisition units arranged at each berth of a port, wherein the mooring environment acquisition units acquire mooring information, and the mooring information comprises weather, sea conditions and berth basic information and is sent to a main controller of a management center;
the method comprises the steps of setting a deep learning model in a main controller of a management center, defining basic information of a ship as a long description, defining mooring information as a short description, processing the long description and the short description into text matrixes M and N respectively, multiplying the text matrix M of the long description by a weight value η, adding the text matrix N generated by the short description to obtain a matching matrix of the ship at each berth, inputting the matching matrix of the ship and each berth into the deep learning model for autonomous learning to obtain a classification model meeting a precision threshold, and solving the classification model to obtain berth information matched with the ship.
2. The port berth dispatching system based on Radio Frequency Identification (RFID) technology as claimed in claim 1, further characterized in that: and the management center main controller adopts a support vector machine algorithm to carry out classification training on the deep learning model.
3. The port berth dispatching system based on Radio Frequency Identification (RFID) technology as claimed in claim 1, further characterized in that: the system also comprises a display terminal arranged on the ship, and the management center main controller indicates a berth route to a crew after selecting a berth according to the deep learning model.
4. The port berth dispatching system based on Radio Frequency Identification (RFID) technology as claimed in claim 1, further characterized in that: the system further comprises a cloud server, and the cloud server stores working parameters of all parts of the system, the acquired ship basic information and mooring information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811151176.1A CN110969897A (en) | 2018-09-29 | 2018-09-29 | Port berth scheduling system based on radio frequency tag technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811151176.1A CN110969897A (en) | 2018-09-29 | 2018-09-29 | Port berth scheduling system based on radio frequency tag technology |
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| CN110969897A true CN110969897A (en) | 2020-04-07 |
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| US20160267435A1 (en) * | 2014-02-04 | 2016-09-15 | Gilbert Eid | Watercraft mooring and managing based on watercraft remote identification |
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| CN104166865A (en) * | 2014-08-06 | 2014-11-26 | 佛山市明睿达科技有限公司 | Port dispatching method and device based on (radio frequency identification) RFID technology |
| CN104361411A (en) * | 2014-11-12 | 2015-02-18 | 武汉理工大学 | Bilateral matching-based application and distribution system and method for anchoring grounds between ships and bank |
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Application publication date: 20200407 |