CN112435153A - Cargo twisting platform and method for transport ship - Google Patents
Cargo twisting platform and method for transport ship Download PDFInfo
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- CN112435153A CN112435153A CN202011347475.XA CN202011347475A CN112435153A CN 112435153 A CN112435153 A CN 112435153A CN 202011347475 A CN202011347475 A CN 202011347475A CN 112435153 A CN112435153 A CN 112435153A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
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Abstract
A cargo twisting platform for a transport ship comprises a server, wherein the server is provided with a memory; and a processor coupled to the memory, the processor configured to execute instructions stored in the memory, the processor performing the following operations: obtaining pallet data and pallet data; acquiring port data and ship AIS data; acquiring ship freight income prediction data; and generating an adaptive pallet list for the pallet and an adaptive pallet list for the pallet. The method comprises the steps that a pallet to be traded is selected, a ship plate list matched with the pallet appears on an interface, and a user selects a ship plate from the ship plate list; if a ship plate to be traded is selected, the interface presents a pallet list matched with the ship plate, and the user selects a pallet in the pallet list.
Description
Technical Field
The invention belongs to the technical field of marine ship transportation, and particularly relates to an intelligent cargo twisting platform and method for a bulk cargo transport ship along the sea based on an algorithm model.
Background
Under the popularization and deep fusion of the internet technology, the maritime business extends to the network space, and the internet platform of the maritime business is generated at the same time. The shipowner may distribute the pallet information on the platform and the shipper may distribute the pallet information on the platform. And the shipowner independently screen the service cooperative objects meeting the conditions through the platform, and negotiate and cooperate to complete the transaction. At present, the screening and matching operation is time-consuming and labor-consuming, and the probability of achieving cooperative transaction is low. How to realize efficient screening and improve the ship and goods matching success rate is the main research content at present.
Disclosure of Invention
In one embodiment of the invention, the transport ship cargo twisting platform comprises a server, wherein the server is provided with a memory; and
a processor coupled to the memory, the processor configured to execute instructions stored in the memory, the processor to:
obtaining pallet data and pallet data;
acquiring port data and ship AIS data;
acquiring ship freight income prediction data;
and generating an adaptive pallet list for the pallet and an adaptive pallet list for the pallet.
The method comprises the steps that a pallet to be traded is selected, a ship plate list matched with the pallet appears on an interface, and a user selects a ship plate from the ship plate list;
if a ship plate to be traded is selected, the interface presents a pallet list matched with the ship plate, and the user selects a pallet in the pallet list.
The intelligent ship and cargo twisting system is formed based on historical data and an algorithm model, is used by a shipowner and a cargo owner, achieves the purposes of efficiently providing a proper pallet for a ship and a proper ship plate for the cargo owner, and improves the efficiency of ship and cargo matching.
Detailed Description
Aiming at the defects in the prior art, the invention is suitable for marine transportation of bulk commodities on the coast of China, provides an optimal pallet and pallet recommendation system, relieves the complex and time-consuming operation of screening pallets and pallets by shipowner, and improves the working efficiency of ship-cargo combination. The method mainly analyzes and processes the ship plate, the ship, the port, the pallet, the historical transaction data and the like, provides the adaptive pallet plate for the ship plate pallet plate on an objective level, meets the transaction preference of a ship owner, and is automatically completed in an integrated manner in the whole process without manual intervention.
According to one or more embodiments, the coastal bulk cargo twisting system based on the algorithm model provides benefit measurement and calculation data of a business level and a financial level for a user by acquiring the cargo transportation requirements of bulk cargo and combining with the automatic analysis and processing of a background algorithm mode.
The system is divided into three major systems, namely a data support system, a user information acquisition system, a model algorithm system and the like.
The user information collection system comprises the cargo type, the cargo capacity, the freight rate, the expected ship type, the lag/speed rate, the total time of the port, the loading port, the unloading port and the loading and unloading port use fee.
The data technology support system provides necessary basic data support when calculating the benefit, and comprises expected use ship type basic data (comprising ship type name, daily rent, ship full-load navigational speed, ship no-load navigational speed, ship full-load navigational consumption, ship ballast navigational consumption, ship berthing oil consumption, ship berthing consumption, ship freight quota and the like), port spacing, common oil price (comprising FO, GO and DO), coastal bulk cargo transportation freight price obtained by crawling a crawler on the network, market behavior, coastal port spacing obtained based on a data fitting algorithm, coastal port use charge and the like, and serves as a data base for calculating the overall benefit and supports the data base
The model algorithm is the core function of the intelligent ship and cargo twisting system, combines the input parameters, namely user information acquisition and data support, after the screening and processing of the function, combines pallets or ship trays to be matched, combines the ship and cargo twisting algorithm model in the function, respectively refers to the pallets or the ship trays, recommends a list of the adaptive ship trays or the pallets, recommends a list of the ship and cargo trays according to a predicted profit value, and arranges the ship and cargo trays in a descending order to achieve the purpose of intelligent ship and cargo twisting. The specific twisting algorithm model comprises the following steps:
s101, automatic configuration of ship types, wherein the steps need to be judged by combining pallet parameters, AIS (automatic identification system) draft conditions, owner history preference and the like;
s102, the distance between ports is configured, and the distance between ports on the coast is fitted by combining data such as historical behaviors of ships, so that the timeliness and the accuracy of the distance are guaranteed;
s103, generating key calculation data such as full-load navigational speed, no-load navigational speed, full-load navigational oil consumption, no-load navigational oil consumption, parking oil consumption and parking consumption;
s104, judging the air route (from north to south air route, from south to north air route): based on the port sequence of the coastal port in China, judgment is carried out by combining a pallet loading port and a pallet unloading port, and a line from south to north or a line from north to south is obtained. On the basis, the route distance is accurately calculated. If the unloading port is in the range of five ports in the north, the whole route closed loop navigation section is (the distance from the starting port to the air harbor) + (the distance from the unloading port to the loading port), and the result is used as a main basis for secondary screening recommended by the ship;
s105, a twisting recommendation basis is as follows:
1. the distance between the empty shipping port and the loading port/the no-load shipping speed/the period are obtained, and the time plus the empty shipping time of the ship plate is obtained and is compared with the loaded time of the pallet;
2. comparing and sequencing the load tonnage of the ship by combining AIS draft, historical preference of the ship and berth parameters;
3. the distances between the air harbor and the loading harbor are sorted from small to large;
4. carrying out aggregate calculation on the distance between the air harbor and the loading harbor, the no-load navigation speed and the navigation period;
5. and comparing the net profit of the voyage number, the marginal profit of the operating day, the marginal profit of the ton day, the marginal profit of the target ton day and the like.
According to the embodiment of the invention, the latest AIS and GIS information of the ship is automatically analyzed and processed by acquiring the AIS and GIS data information of the ship, and meanwhile, the optimal ship meeting the conditions is screened and recommended to a user by combining with the ship AIS and GIS historical big data fitting algorithm.
According to one or more embodiments, the system architecture of the transport ship cargo stranding platform comprises a background subsystem and a front-end subsystem. The front terminal system collects pallet data and collects freight requirements and parameters of a user, and the front terminal system is divided into two using modes, wherein the first mode is that the user directly inputs freight parameters, and the second mode is that the parameter receiving port is integrated with a pallet collecting page, and the freight parameters related to measurement and calculation are directly and automatically collected from the input pallet. The composition is as follows:
The front terminal system collects the ship plate data and collects the transport capacity demand and parameters of a user, the front terminal system is divided into two using modes, the transport capacity parameters are directly input by the user in the first mode, the parameter receiving port and the ship plate collecting page are integrated in the second mode, and the transport capacity parameters are directly and automatically collected from the input ship plate. The composition is as follows:
The system of the transport ship cargo combination platform comprises a data support system, which is used as an important dependence part in the execution process of the benefit measuring and calculating software and is described as follows: the method comprises the steps of expected use of ship type basic data (including ship type name, daily rent, full-load speed of ship, no-load speed of ship, full-load navigation consumption of ship, ballast navigation oil consumption of ship, berthing oil consumption of ship, ship freight quota and the like), port spacing, common oil prices (including FO, GO and DO), coastal bulk cargo transportation freight rate obtained by crawling on the network, market quotation, coastal port spacing obtained based on a data fitting algorithm, coastal port use charge and the like, and serves as a data base and support for overall benefit measurement and calculation. In the measurement and calculation of the benefit, the method comprises the following steps,
According to the coastal bulk cargo twisting system based on the algorithm model, the model algorithm fully utilizes port dynamic static data, ship navigation speed, AIS ship dynamic information, ship static information and income prediction data, and generates an adaptive pallet list for pallets and an adaptive pallet list for the pallets through an algorithm program.
According to one or more embodiments, the transportation ship and cargo combination platform recommends an optimal ship meeting conditions for a user by using AIS and GIS data information of the ship and combining a big data fitting algorithm, wherein the platform further comprises a user terminal, a service flow of an interface of the user terminal comprises,
the goods owner user selects a pallet to be traded in the front-end interface, selects a [ choose ] button, a ship plate list matched with the pallet appears on the right side of the interface, and the user selects a ship plate in the ship plate list on the right side according to the needs of the user and then selects a [ preset ] button.
The shipowner user selects the ship plate to be traded in the front-end interface, selects the [ choose ] button, the left side of the interface will have the pallet list matched with the ship plate, the user selects a ticket pallet in the left side pallet list according to the needs of the user, and then selects the [ pre-allocate ] button.
The platform server preliminarily screens ships meeting the conditions through conditions such as loading period, load tons, empty ship ports and the like. The following explains for example the recommendation of a pallet list for pallets, when the user selects a pallet and selects [ pick ], the system will start to execute the program in the algorithm model in combination with the pallet expiration date and the shipping volume in the pallet information. And after the preliminary screening is finished, acquiring a ship plate list matched with the valid period and the freight volume of the pallet. And then secondary ship disk screening is carried out in the primary screening result by combining port basic data, ship navigation speed, ship disk empty interval and key data items in pallets in the system. And then, AIS ship dynamic information, ship plate information, pallet information, port basic data, market bargaining data, oil price basic data, port interval data and income prediction data are combined, and a ship plate list which meets the most adaptation of the current pallet is calculated by means of a ship intelligent algorithm.
The process meets the requirement of recommending a proper pallet list for the pallet; the principle of recommending a pallet list for a ship is similar and will not be repeated here. After the steps are finished, the system returns the adaptive pallet or ship plate list obtained through the intelligent algorithm to the front end, and the adaptive pallet or ship plate list is respectively presented to the goods owner user and the shipowner user.
Compared with the prior art, the invention has the following technical effects:
1. convenience and high efficiency.
The user experience of the system is convenient and efficient, and the shipowner or goods owner user only needs to select the pallet/pallet to be traded in the pallet or pallet list and click the button once, so that the intelligently recommended pallet or pallet list is presented to the user by combining the key business parameters of the pallet or pallet in the page.
2. The efficiency of ship goods is twisted and is closed is improved.
The system makes full use of data such as pallets, ship trays, ports, historical transaction data, fuel oil prices and the like, combines a big data analysis processing technology and an intelligent twisting algorithm model, and recommends the most suitable pallets or ship trays to shipowners or owners from the aspects of transportation period, freight transportation volume adaptation degree, course distance, ship navigation speed, shipowner expected income, cargo transportation cost and the like in a pallet or ship resource pool.
Each functional unit in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. The cargo twisting platform for the transport ship is characterized by comprising a server, wherein the server is provided with a memory; and
a processor coupled to the memory, the processor configured to execute instructions stored in the memory, the processor to:
obtaining pallet data and pallet data;
acquiring port data and ship AIS data;
acquiring ship freight income prediction data;
and generating an adaptive pallet list for the pallet and an adaptive pallet list for the pallet.
2. The carrier cargo twisting platform according to claim 1, wherein the twisting platform comprises a user terminal, and the data input method provided by the user terminal interface comprises that when a pallet to be traded is selected, the interface presents a pallet list matched with the pallet, and the user selects the pallet from the pallet list;
if a ship plate to be traded is selected, the interface presents a pallet list matched with the ship plate, and the user selects a pallet in the pallet list.
3. The carrier cargo stranding platform of claim 1 including, after the steps of generating the list of adapted pallets for pallets,
screening the ship disks by combining port basic data, ship navigation speed, ship disk empty interval and pallet data, and calculating a ship disk list which meets the most suitable requirement of the current pallet by combining AIS ship dynamic information, ship disk information, pallet information, port basic data, market bargain data, oil price basic data, port interval data and revenue prediction data; or
And (3) selecting pallets by combining the port basic data, the ship navigation speed, the empty ship interval of the ship plate and the ship plate data, and calculating a pallet list which meets the most suitable current ship plate by combining AIS ship dynamic information, ship plate information, pallet information, port basic data, market bargain data, oil price basic data, port interval data and revenue prediction data.
4. The carrier cargo stranding platform of claim 1 wherein the pallet data includes,
the cargo type, the cargo transportation quantity, the freight rate, the fuel cost, the port expense, the cargo transportation loading period, the cargo loading and unloading days and the pallet validity period.
5. The carrier cargo stitching platform of claim 1, wherein the boat data comprises,
ship name, ship load ton, voyage number, empty ship port, empty ship date, ship plate validity period and cargo orientation.
6. A cargo twisting method for a transport ship is characterized by comprising the following steps,
obtaining pallet data and pallet data;
acquiring port data and ship AIS data;
acquiring ship freight income prediction data;
and generating an adaptive pallet list for the pallet and an adaptive pallet list for the pallet.
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| CN115545618A (en) * | 2022-11-02 | 2022-12-30 | 福建省鉴易网络科技有限公司 | Cargo ship matching method and device for shipping |
| CN115660519A (en) * | 2022-11-15 | 2023-01-31 | 广东优算科技有限公司 | Block chain-based marine service platform implementation method, system, device and medium |
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