CN107197806A - Spring louvers formula fixed point Autoamtic bait putting method based on unmanned boat - Google Patents

Spring louvers formula fixed point Autoamtic bait putting method based on unmanned boat Download PDF

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CN107197806A
CN107197806A CN201710347396.0A CN201710347396A CN107197806A CN 107197806 A CN107197806 A CN 107197806A CN 201710347396 A CN201710347396 A CN 201710347396A CN 107197806 A CN107197806 A CN 107197806A
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bait throwing
point
bait
rectangle
square
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CN107197806B (en
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冯辉
姚迪
向金林
许仕杰
杨红莹
韩家恒
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Wuhan University of Technology WUT
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K61/00Culture of aquatic animals
    • A01K61/80Feeding devices
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
    • Y02A40/81Aquaculture, e.g. of fish

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  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental Sciences (AREA)
  • Animal Husbandry (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Zoology (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Autoamtic bait putting method is pinpointed the present invention relates to a kind of spring louvers formula based on unmanned boat, this method includes 1, delimitation theoretical contour and tries to achieve outer bait throwing in theoretical contour and interior bait throwing in theoretical contour;2nd, unmanned boat navigation starting point and terminal are determined according to bait throwing in operation actual geographic condition in the range of inside and outside bait throwing in theoretical contour is constituted;3rd, with the square bait throwing in grid of delimitation in the range of inside and outside bait throwing in theoretical contour is constituted;Bait throwing in point is used as per lattice central point using square bait throwing in grid;4th, determine elasticity subdivision square grid, 5, according to navigation starting point, terminal and optional bait throwing in point, perform global path algorithm generation flight path;This bait throwing in operation is completed after traveling through all bait throwing in points.The present invention can realize the uniform fixed point Autoamtic bait putting in large-scale farming waters.

Description

Spring louvers formula fixed point Autoamtic bait putting method based on unmanned boat
Technical field
The present invention relates to airmanship applied technical field, and in particular to a kind of spring louvers formula fixed point based on unmanned boat Autoamtic bait putting method.
Background technology
Aquaculture kind is generally heterotrophic organism, and it grows must take in nutrition from external environment, exogenous bait throwing in into The important channel of energy and protein is obtained for aquaculture organisms.Have suitable for traditional bait-throwing method of pond culture:Manually Pole a boat bait throwing in, device for feeding fish bait fixed point bait throwing in and boat-carrying device for feeding fish bait bait throwing in.In recent years, the aquaculture industry development of China is rapid, As various regions cultivate the continuous increase of scale, traditional artificial dispensing bait method is no longer appropriate for large-scale aquatic products and supported already Grow.Current device for feeding fish bait obtains market and generally approved, it lays in pond periphery, the bait throwing in of fixed place and time into pond, to a certain degree On reduce labour input.But in large area seining cultivation, traditional device for feeding fish bait is limited by riding position and bait throwing in has Imitate the limitation of distance, it is impossible to accomplish uniform bait throwing in;And when water surface area is excessive, generally require many device for feeding fish bait cooperatings. According to data, every 20 mu of waters need a traditional device for feeding fish bait, and the water surface area of large-scale farming often reaches hundreds of mus Or even thousands of mus.Building many traditional device for feeding fish bait cooperating systems needs construction of line net, there is electric wire and sets up complexity height The drawbacks of power consumption is high, greatly improves device for feeding fish bait cooperating cost.
The unreasonable arrangement that bait throwing in is selected causes bait to be difficult to by cultured fishes reasonable consumption:The few bait of many fishes in subregion, nothing Method meets fry growth needs;The few fish of many baits in subregion, causes bait to waste.Bait excessive residual will also cause water body nitrogen phosphorus Content increase, eutrophication aggravation, causes breeding water body blue-green algae to be spread unchecked, and the growth of influence fish causes yield to decline.And due to Traditional device for feeding fish bait pinpoints bait throwing in using bank, and the bait behavior that becomes is unfavorable for water field of big area money so that fish distribution concentrates on bank The utilization in source.And the course of boat-carrying device for feeding fish bait is generally artificial determination at this stage, randomness is strong, it is difficult to rationally spread all over large area Cultivated water.
The content of the invention
Autoamtic bait putting method, this method are pinpointed it is an object of the invention to provide a kind of spring louvers formula based on unmanned boat The uniform fixed point Autoamtic bait putting in large-scale farming waters can be realized.
In order to solve the above technical problems, the fixed point of the spring louvers formula based on the unmanned boat Autoamtic bait putting side designed by the present invention Method, it is characterised in that it comprises the following steps:
Step 1:Using the positional information of map, the coordinate and rectangle of the rectangular profile of rectangle Cultivated water position are drawn The geographical position coordinates of barrier profile in the rectangular profile of Cultivated water position;
Step 2:Outer bait throwing in rectangle theoretical contour is obtained in the rectangular profile of rectangle Cultivated water position, the outer bait throwing in Rectangle theoretical contour and the rectangular profile of rectangle Cultivated water position have same central point, in addition, outer bait throwing in rectangle is managed By contour line it is long in corresponding long with the rectangular profile of rectangle Cultivated water position it is parallel, and at a distance of pre-determined distance A, together When, the short side of outer bait throwing in rectangle theoretical contour is parallel with the corresponding short side of the rectangular profile of rectangle Cultivated water position, and phase Away from pre-determined distance A;
Step 3:, should respectively by the minimum rectangle simplification that use can be comprising the barrier profile on map of each barrier profile The minimum rectangle of barrier profile is interior bait throwing in theoretical contour;
Step 4:In the range of being surrounded inside outer bait throwing in rectangle theoretical contour and outside interior bait throwing in theoretical contour Unmanned boat navigation starting point and terminal are determined according to the actual demand of bait throwing in operation;
Step 5:In the range of being surrounded inside outer bait throwing in rectangle theoretical contour and outside interior bait throwing in theoretical contour Square bait throwing in grid delimited in units of preset area B, optional bait throwing in point is used as using the central point of square bait throwing in grid;
Step 6:Do in elasticity subdivision square grid, elasticity subdivision square grid and outer in square bait throwing in grid The position of bait throwing in rectangle theoretical profile linear contact lay is two double precision square grid regions in elasticity subdivision square grid, bullet Property subdivision square grid and interior bait throwing in theoretical profile linear contact lay position be also twice of essence in elasticity subdivision square grid It is algnment accuracy square grid region to spend remaining region in square grid region, elasticity subdivision square grid;
Step 7:The unmanned boat navigation starting point and terminal determined according to step 4, and the optional bait throwing in point that step 5 is determined, Global path algorithm generation flight path is performed by step 7.1~step 7.3;
Step 7.1:Using the bait throwing in point nearest apart from ship current point as next bait throwing in point, deserve in an initial condition Preceding point is starting point;
Step 7.2:Judge that current point, with whether there is barrier on next bait throwing in point straight line path, is performed if in the absence of if Step 7.2.1, otherwise performs step 7.2.2;
Step 7.2.1:It is minimal cost path, generation bait throwing in navigation to take the straight line path between current point and next bait throwing in point Flight path;
Step 7.2.2:By each two double precisions square grid region in elasticity subdivision square grid and each mark The central point in quasi- precision square grid region is set to optional guidance path point, by between current point and target point each optional lead Bit path point, execution A* algorithms (bibliography A*Pathfinding for Beginners, By Patrick Lester, Updated July18,2005) current point is obtained to the minimal cost path of next bait throwing in point, travel through each target point and correspondingly Minimal cost path generation bait throwing in navigation flight path;
Step 7.3:Whether judge current point is navigation terminal point:If so, being then stopped;If it is not, then return to step 7.1。
Beneficial effects of the present invention:
1st, the fixed point Autoamtic bait putting method of the spring louvers formula based on unmanned boat that this patent is illustrated can be efficiently reduced greatly The manpower and materials input of area aquaculture bait throwing in work, uniform bait throwing in point improves bait utilization;
2nd, this method can set up the different spring louvers of precision according to geographical environment, thus can efficiently reduce global path Algorithm amount of calculation simultaneously avoids unmanned boat from being to avoid barrier and the undue situation away from barrier during navigating by water;
3rd, fixed point Autoamtic bait putting method is clear, and algorithm is simple, the unmanned boat of carrying Autoamtic bait putting machine is adopted Flight path is planned with minimal cost path, fixed point Autoamtic bait putting operation is efficiently completed.
Brief description of the drawings
Fig. 1 is the flow chart that the spring louvers formula based on unmanned boat pinpoints Autoamtic bait putting method;
Fig. 2 is the flow chart of global path algorithm;
Fig. 3 is grid division schematic diagram;
Wherein, the rectangular profile of 1-rectangle Cultivated water position, 2-barrier profile, 3-outer bait throwing in rectangle theory wheel Profile, 4-interior bait throwing in theoretical contour, 5-square bait throwing in grid, 6-elasticity subdivision square grid, 6.1-twice essence Spend square grid region, 6.2-algnment accuracy square grid region.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail:
A kind of spring louvers formula fixed point Autoamtic bait putting method based on unmanned boat, as shown in figs. 1 and 3, it includes following step Suddenly:
Step 1:Using the positional information of map, the coordinate and square of the rectangular profile 1 of rectangle Cultivated water position are drawn The geographical position coordinates of barrier profile 2 in the rectangular profile 1 of shape Cultivated water position;
Step 2:To avoid unmanned boat offshore stranded, outer bait throwing in is obtained in the rectangular profile 1 of rectangle Cultivated water position The rectangular profile 1 of rectangle theoretical contour 3, the outer bait throwing in rectangle theoretical contour 3 and rectangle Cultivated water position has same Individual central point, in addition, the long side of outer bait throwing in rectangle theoretical contour 3 is corresponding with the rectangular profile 1 of rectangle Cultivated water position Long side is parallel, and at a distance of pre-determined distance A, meanwhile, short side and the rectangle Cultivated water position of outer bait throwing in rectangle theoretical contour 3 The corresponding short side of rectangular profile 1 is parallel, and at a distance of pre-determined distance A;
Step 3:Respectively by the minimum rectangle simplification that use can be comprising the barrier profile 2 on map of each barrier profile 2, The minimum rectangle of the barrier profile 2 is interior bait throwing in theoretical contour 4;
Step 4:The scope surrounded in the outer inside of bait throwing in rectangle theoretical contour 3 and the outside of interior bait throwing in theoretical contour 4 The interior actual demand according to bait throwing in operation determines unmanned boat navigation starting point and terminal;
Step 5:The scope surrounded in the outer inside of bait throwing in rectangle theoretical contour 3 and the outside of interior bait throwing in theoretical contour 4 Square bait throwing in grid 5 delimited in units of the interior B by preset area, optional throwing is used as using the central point of square bait throwing in grid 5 Bait point;
Step 6:Done in square bait throwing in grid 5 in elasticity subdivision square grid 6, elasticity subdivision square grid 6 The position contacted with outer bait throwing in rectangle theoretical contour 3 is two double precision square grids in elasticity subdivision square grid 6 Region 6.1, the position that elasticity subdivision square grid 6 is contacted with interior bait throwing in theoretical contour 4 is also the square grid of elasticity subdivision Two double precision square grid regions 6.1 in lattice 6, elasticity subdivision square grid 6 in remaining region be algnment accuracy just Square grid region 6.2;
Step 7:The unmanned boat navigation starting point and terminal determined according to step 4, and the optional bait throwing in point that step 5 is determined, Global path algorithm generation flight path is performed by step 7.1~step 7.3, as shown in Figure 2;
Step 7.1:Using the bait throwing in point nearest apart from ship current point as next bait throwing in point, deserve in an initial condition Preceding point is starting point;
Step 7.2:Judge that current point, with whether there is barrier on next bait throwing in point straight line path, is performed if in the absence of if Step 7.2.1, otherwise performs step 7.2.2;
Step 7.2.1:It is minimal cost path, generation bait throwing in navigation to take the straight line path between current point and next bait throwing in point Flight path;
Step 7.2.2:By each two double precisions square grid region 6.1 in elasticity subdivision square grid 6 and often The central point in individual algnment accuracy square grid region 6.2 is set to optional guidance path point, will be each between current point and target point Individual optional guidance path point, performs A* algorithms and obtains current point to the minimal cost path of next bait throwing in point, travel through each target Point and corresponding minimal cost path generation bait throwing in navigation flight path;
Step 7.3:Whether judge current point is navigation terminal point:If so, being then stopped;If it is not, then return to step 7.1。
In above-mentioned technical proposal, the resolution ratio in the algnment accuracy square grid region 6.2 is square bait throwing in grid 5 11 times, the resolution ratio in the two double precisions square grid region 6.1 is the two of algnment accuracy square grid region 6.2 Times.
In above-mentioned technical proposal, the preset area B of the square bait throwing in grid 5 is 20 mu.The pre-determined distance A is 10m。
In above-mentioned technical proposal, the length of side of the square bait throwing in grid 5 is 110m, the algnment accuracy square grid The length of side in region 6.2 is 10m, and the length of side in the two double precisions square grid region 6.1 is 10m.
In above-mentioned technical proposal, elasticity subdivision square grid 6 divides thought and is, by near barrier and outer bait throwing in rectangle The region grid of theoretical contour 3 is finely divided (i.e. two double precision square grid regions 6.1), region description can be made more clear It is clear;, can using former precision grid (i.e. algnment accuracy square grid region 6.2) for the free space in the absence of barrier To improve the efficiency of environmental modeling.The subdivision of grid that this method is related to refer to by grid that script precision is a unit length according to Demand is subdivided into 1/2 unit length.
The specific implementation method of the step 7.2.2 is if that, by barrier in step 7.2, A* algorithms are started working, Cost function is introduced, cost function is f (n)=g (n)+h (n), and g (n) represents the optimal path length from starting point to current point, h (n) represent that current point arrives the estimation optimal path length of target point, the central point of each grid is (each twice of the node that navigates The central point in precision square grid region 6.1 and each algnment accuracy square grid region 6.2 is set to optional guidance path Point), store in the form of a file, calculate the minimal cost path of avoiding obstacles.
Algorithm idea:A* algorithms are one kind of heuristic search algorithm, for finding optimal path, and its core is Select present node next desire expanding node when introduce cost function f (n)=g (n)+h (n), g (n) represent from starting point to The optimal path length of current point, h (n) represents current point to the estimation optimal path length of target point.
Algorithm steps:(1) by starting point S added to list is opened, the f values for putting starting point are 0.(2) the adjacent institute of starting point S-phase is found There is accessibility grid, its central point is added to as node and " opens list.(3) the starting point S opened in list is deleted, and Add it to " closing list ".(4) using next bait throwing in point as target point, respectively using each above-mentioned central point as current point, meter The f values of operator node.(5) the minimum node of f values in selection " unlatching list ", is handled as follows to the node chosen:(5.1) will The node is deleted from " unlatching list ", added in closing list;(5.2) finds adjacent all accessibility of the node Grid, " unlatching list " is added to using its central point as node.Repeat step (4)~(5), until target point is added into " closing list ", at this moment optimal path is found.
" unlatching list " is substantially the list of node to be checked, and " closing list ", which is substantially, need not check again for node List, both at the data structure of memory node.
The content that this specification is not described in detail belongs to prior art known to professional and technical personnel in the field.

Claims (5)

1. a kind of spring louvers formula fixed point Autoamtic bait putting method based on unmanned boat, it is characterised in that it comprises the following steps:
Step 1:Using the positional information of map, the coordinate and rectangle of the rectangular profile (1) of rectangle Cultivated water position are drawn The geographical position coordinates of the interior barrier profile (2) of rectangular profile (1) of Cultivated water position;
Step 2:Outer bait throwing in rectangle theoretical contour (3) is obtained in the rectangular profile (1) of rectangle Cultivated water position, the outer throwing Bait rectangle theoretical contour (3) and the rectangular profile (1) of rectangle Cultivated water position have same central point, in addition, outer throw Bait rectangle theoretical contour (3) it is long parallel in corresponding long with the rectangular profile (1) of rectangle Cultivated water position, and apart Pre-determined distance A, meanwhile, the short side of outer bait throwing in rectangle theoretical contour (3) and the rectangular profile (1) of rectangle Cultivated water position Correspondence short side is parallel, and at a distance of pre-determined distance A;
Step 3:Respectively by the minimum rectangle simplification that use can be comprising the barrier profile (2) on map of each barrier profile (2), The minimum rectangle of the barrier profile (2) is interior bait throwing in theoretical contour (4);
Step 4:The scope surrounded outside outer bait throwing in rectangle theoretical contour (3) inside and interior bait throwing in theoretical contour (4) The interior actual demand according to bait throwing in operation determines unmanned boat navigation starting point and terminal;
Step 5:The scope surrounded outside outer bait throwing in rectangle theoretical contour (3) inside and interior bait throwing in theoretical contour (4) Square bait throwing in grid (5) delimited in units of the interior B by preset area, using the central point of square bait throwing in grid (5) as optional Bait throwing in point;
Step 6:Elasticity subdivision square grid (6), elasticity subdivision square grid (6) are done in square bait throwing in grid (5) In the position that is contacted with outer bait throwing in rectangle theoretical contour (3) it is square for two double precisions in elasticity subdivision square grid (6) Shape grid region (6.1), the position that elasticity subdivision square grid (6) is contacted with interior bait throwing in theoretical contour (4) is also elasticity Segment remaining in two double precision square grid regions (6.1) in square grid (6), elasticity subdivision square grid (6) Region be algnment accuracy square grid region (6.2);
Step 7:The unmanned boat navigation starting point and terminal determined according to step 4, and the optional bait throwing in point that step 5 is determined, by step Rapid 7.1~step 7.3 performs global path algorithm generation flight path;
Step 7.1:Using the bait throwing in point nearest apart from ship current point as next bait throwing in point, the current point in an initial condition As starting point;
Step 7.2:Judge that current point, with whether there is barrier on next bait throwing in point straight line path, step is performed if being not present 7.2.1, step 7.2.2 is otherwise performed;
Step 7.2.1:It is minimal cost path, generation bait throwing in navigation boat to take the straight line path between current point and next bait throwing in point Mark;
Step 7.2.2:By each two double precisions square grid region (6.1) in elasticity subdivision square grid (6) and often The central point of individual algnment accuracy square grid region (6.2) is set to optional guidance path point, by between current point and target point Each optional guidance path point, performs A* algorithms and obtains current point to the minimal cost path of next bait throwing in point, travel through each mesh Punctuate and corresponding minimal cost path generation bait throwing in navigation flight path;
Step 7.3:Whether judge current point is navigation terminal point:If so, being then stopped;If it is not, then return to step 7.1.
2. the spring louvers formula fixed point Autoamtic bait putting method according to claim 1 based on unmanned boat, it is characterised in that:Institute The resolution ratio for stating algnment accuracy square grid region (6.2) is 11 times of square bait throwing in grid (5), and two double precision is just The resolution ratio in square grid region (6.1) is twice of algnment accuracy square grid region (6.2).
3. the spring louvers formula fixed point Autoamtic bait putting method according to claim 1 based on unmanned boat, it is characterised in that:Institute The preset area B for stating square bait throwing in grid (5) is 20 mu.
4. the spring louvers formula fixed point Autoamtic bait putting method according to claim 1 based on unmanned boat, it is characterised in that:Institute Pre-determined distance A is stated for 10m.
5. the spring louvers formula fixed point Autoamtic bait putting method according to claim 2 based on unmanned boat, it is characterised in that:Institute The length of side for stating square bait throwing in grid (5) is 110m, and the length of side of the algnment accuracy square grid region (6.2) is 10m, institute The length of side for stating two double precision square grid regions (6.1) is 10m.
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CN109163726A (en) * 2018-09-21 2019-01-08 江苏大学 A kind of all standing method for planning track of time shape
CN109240288A (en) * 2018-08-31 2019-01-18 武汉理工大学 Unmanned boat collision prevention paths planning method in the case of a kind of barrier based on trajectory unit
CN109717179A (en) * 2019-02-28 2019-05-07 苏州工业职业技术学院 A kind of intelligence based on A star algorithm seeks mouse mousing system and seeks mouse type mouse trapping method
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CN110161981A (en) * 2018-04-08 2019-08-23 山东省海洋资源与环境研究院 A kind of intelligent aquafarm integrating cultivation, environmental protection, leisure
CN108803374A (en) * 2018-06-07 2018-11-13 中国人民解放军海军工程大学 A kind of unmanned boat environmental data emulation mode
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CN110214726B (en) * 2019-07-04 2024-06-07 仲恺农业工程学院 Accurate feeding device based on fish behavior and big data mining
CN111060109A (en) * 2020-01-03 2020-04-24 东南大学 Unmanned ship global path planning method based on improved A-star algorithm
CN111060109B (en) * 2020-01-03 2021-08-27 东南大学 Unmanned ship global path planning method based on improved A-star algorithm
WO2021232583A1 (en) * 2020-05-20 2021-11-25 五邑大学 Dynamic path planning method and device for coverage feeding of unmanned ship
CN112462763A (en) * 2020-11-18 2021-03-09 河北工业大学 Mowing robot path planning method based on grid map
CN113934159A (en) * 2021-10-25 2022-01-14 中国船舶工业综合技术经济研究院 Unmanned ship reliability test environment model construction method

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