CN104680843A - Tugboat cooperation scheme generation method based on artificial neural network - Google Patents
Tugboat cooperation scheme generation method based on artificial neural network Download PDFInfo
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- CN104680843A CN104680843A CN201310638329.6A CN201310638329A CN104680843A CN 104680843 A CN104680843 A CN 104680843A CN 201310638329 A CN201310638329 A CN 201310638329A CN 104680843 A CN104680843 A CN 104680843A
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- scheme
- towboat
- tugboat
- artificial neural
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
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- Engineering & Computer Science (AREA)
- Ocean & Marine Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a tugboat cooperation scheme generation method based on an artificial neural network. The tugboat cooperation scheme generation method comprises the following steps: S100, collecting an existing tugboat scheme to form a database, wherein the scheme at least comprises types and quantity of tugboats, a geometrical shape formed by the plurality of tugboats, and types of dragged boats, and hydrologic conditions of a dragging region; S200, establishing a target function of the boats and a tugboat dragging scheme, wherein the final solution of the target function is a final arrangement manner of the plurality of tugboats; S300, training the target function by using a tugboat arrangement scheme in the database to obtain a developed target function; and S400, judging the current scheme by using the developed target function to obtain a final tugboat arrangement scheme. With the adoption of the tugboat cooperation scheme generation method, the dispatching of the tugboats is more accurate, and the tugboat cooperation scheme generation method has a great actual application value in a busy international shipping hub.
Description
Technical field
The present invention relates to a kind of towboat based on artificial neural network cooperation scheme generation method.Relate to the traffic control system of Patent classificating number G08 telltale G08G traffic control system G08G3/00 sail device.
Background technology
Along with the fast development of China's shipping industry, international Seaborne trade becomes more and more busier, and the use of towboat becomes more and more frequent, in the face of so a large amount of towboats, relies on traditional artificial loose type way to manage, has been difficult to accomplish to dispatch accurately and assess.
Especially in large-scale International Ports, in the face of the boat that every day is a large amount of, limited towboat resource how is used to become a difficult problem, depend merely on the allotment of dispatcher and simple horsepower matching primitives, be difficult to the Appropriate application accomplishing resource, finally inevitably cause the waste of towboat resource or unreasonable utilization.
Summary of the invention
The present invention is directed to the proposition of above problem, and a kind of cooperation of the towboat based on artificial neural network scheme generation method of development, there are following steps:
S100. existing towboat schematic design making database is gathered: at least comprise in scheme: the geometric configuration that the model of towboat, quantity, many towboats are formed, pulled the model of boats and ships; Pull the hydrologic regime in region;
S200. set up the objective function that boats and ships and towboat pull scheme, the last solution of objective function is many final arrangement forms of towboat;
S300. the towboat arrangement in usage data storehouse, using artificial neural networks algorithm is trained described objective function, obtains ripe objective function;
S400. use the objective function of described maturation, current carrying out is judged, obtain final towboat arrangement.
Also there is step S150. between described step S100 and S200 in described database, find the close scheme with current towboat scheme to be analyzed.
Described artificial neural network is based on small echo modifier artificial neural networks.
Owing to have employed technique scheme, a kind of cooperation of the towboat based on artificial neural network scheme generation method provided by the invention, training of human artificial neural networks is carried out by gathering a large amount of towboat operational versions, finally obtain relative science towboat operational version accurately, make the scheduling of towboat become more accurate, in busy international carriage hinge, have huge actual use value.
Accompanying drawing explanation
In order to the technical scheme of clearer explanation embodiments of the invention or prior art, introduce doing one to the accompanying drawing used required in embodiment or description of the prior art simply below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is process flow diagram of the present invention
Embodiment
For making the object of embodiments of the invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, clear complete description is carried out to the technical scheme in the embodiment of the present invention:
As shown in Figure 1: a kind of cooperation of the towboat based on artificial neural network scheme generation method, has following steps:
S100. existing towboat schematic design making database is gathered: at least comprise in scheme: the geometric configuration that the model of towboat, quantity, many towboats are formed, pulled the model of boats and ships; Pull the hydrologic regime in region;
S200. set up the objective function that boats and ships and towboat pull scheme, the last solution of objective function is many final arrangement forms of towboat;
S300. the towboat arrangement in usage data storehouse, using artificial neural networks algorithm is trained described objective function, obtains ripe objective function;
S400. use the objective function of described maturation, current carrying out is judged, obtain final towboat arrangement.
Further, the computing velocity of result is promoted, as a preferably embodiment: also there is step S150. between described step S100 and S200 and finds in described database and the close scheme of current towboat scheme to be analyzed in order to reduce calculated amount.
As a preferably embodiment, described artificial neural network is based on small echo modifier artificial neural networks.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (3)
1., based on a towboat cooperation scheme generation method for artificial neural network, there are following steps:
S100. existing towboat schematic design making database is gathered: at least comprise in scheme: the geometric configuration that the model of towboat, quantity, many towboats are formed, pulled the model of boats and ships; Pull the hydrologic regime in region;
S200. set up the objective function that boats and ships and towboat pull scheme, the last solution of objective function is many final arrangement forms of towboat;
S300. the towboat arrangement in usage data storehouse, using artificial neural networks algorithm is trained described objective function, obtains ripe objective function;
S400. use the objective function of described maturation, current carrying out is judged, obtain final towboat arrangement.
2. a kind of cooperation of the towboat based on artificial neural network scheme generation method according to claim 1, is further characterized in that: between described step S100 and S200, also have step S150. in described database, find the close scheme with current towboat scheme to be analyzed.
3. a kind of cooperation of the towboat based on artificial neural network scheme generation method according to claim 1, is further characterized in that: described artificial neural network is based on small echo modifier artificial neural networks.
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CN201310638329.6A CN104680843A (en) | 2013-11-29 | 2013-11-29 | Tugboat cooperation scheme generation method based on artificial neural network |
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CN201310638329.6A CN104680843A (en) | 2013-11-29 | 2013-11-29 | Tugboat cooperation scheme generation method based on artificial neural network |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105278535A (en) * | 2015-11-23 | 2016-01-27 | 上海海事大学 | Intelligent turning cooperative control method for unpowered facility towing system |
CN107016879A (en) * | 2017-05-19 | 2017-08-04 | 武汉理工大学 | Virtually guard against mark system and method in a kind of construction ship operation area based on AIS/GPRS |
CN111178778A (en) * | 2020-01-02 | 2020-05-19 | 中冶赛迪重庆信息技术有限公司 | Security activity scheme generation method and system based on machine learning and security activity management system |
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2013
- 2013-11-29 CN CN201310638329.6A patent/CN104680843A/en active Pending
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105278535A (en) * | 2015-11-23 | 2016-01-27 | 上海海事大学 | Intelligent turning cooperative control method for unpowered facility towing system |
CN105278535B (en) * | 2015-11-23 | 2018-02-13 | 上海海事大学 | A kind of automated steering cooperative control method for unpowered facility traction system |
CN107016879A (en) * | 2017-05-19 | 2017-08-04 | 武汉理工大学 | Virtually guard against mark system and method in a kind of construction ship operation area based on AIS/GPRS |
CN107016879B (en) * | 2017-05-19 | 2019-11-26 | 武汉理工大学 | Virtually guard against mark system and method in construction ship operation area based on AIS/GPRS |
CN111178778A (en) * | 2020-01-02 | 2020-05-19 | 中冶赛迪重庆信息技术有限公司 | Security activity scheme generation method and system based on machine learning and security activity management system |
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Application publication date: 20150603 |