CN103455661A - Spray simulation method based on cloud simulation of droplets - Google Patents

Spray simulation method based on cloud simulation of droplets Download PDF

Info

Publication number
CN103455661A
CN103455661A CN2013103197816A CN201310319781A CN103455661A CN 103455661 A CN103455661 A CN 103455661A CN 2013103197816 A CN2013103197816 A CN 2013103197816A CN 201310319781 A CN201310319781 A CN 201310319781A CN 103455661 A CN103455661 A CN 103455661A
Authority
CN
China
Prior art keywords
droplet
particle
cloud
spraying
coordinate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2013103197816A
Other languages
Chinese (zh)
Other versions
CN103455661B (en
Inventor
蒋焕煜
周鸣川
高天齐
李华融
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201310319781.6A priority Critical patent/CN103455661B/en
Publication of CN103455661A publication Critical patent/CN103455661A/en
Application granted granted Critical
Publication of CN103455661B publication Critical patent/CN103455661B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a spray simulation method based on cloud simulation of droplets. The spray simulation method includes the steps: adopting a three-dimensional stereo camera to acquire three-dimensional point cloud data of plant bodies, and simulating actual crop plants through a point cloud deleting method and coordinate transformation processing; describing spray droplet particle motion trajectories through Lagrangian trajectory description operators under the conditions of determining nozzle type, nozzle coordinates and spray technology parameters; designing a point cloud intersection algorithm of the spray droplet particle motion trajectories and the plants and judging whether the droplets drop on the plant bodies or not and calculating drop point positions thereof; according to requirements of spray operation speed, constantly changing the space coordinates of a nozzle to complete dynamic simulation till a stop condition is reached, outputting droplet deposition rate, and optimizing spraying height. By the spray simulation method, visual operation indexes of spray operation can be analyzed, and the optimal spraying operation height is achieved by taking the effective deposition rate of the droplets as an objective function, so that certain reference is offered to reduce application amount of pesticides during an actual plant protection process.

Description

A kind of spraying emulation mode based on the simulation of droplet cloud
Technical field
The present invention relates to spray method, especially a kind of spraying emulation mode based on the simulation of droplet cloud.
Background technology
In order to ensure the stable yields volume increase of grain, the personnel that are engaged in agriculture often adopt rough formula plant protection spraying operation mode in field, a large amount of chemical agents can accurately be applied on the crop target, and excessive chemical agent brings serious environment and food-safety problem.
The people such as what male Kui of China Agricultural University just " measure the impact of spray technique parameter on spray effect ", and this problem is done excessive quantity research under laboratory environment, experimental results show that the impact of the spray technique parameter of Fan spray head on spray effect, particularly the anti-drift of droplet had to significant impact.
Large-scale development Ansys Fluent has comprised the particle analogue simulation system, there is the scholar to use this software to design with the assistant spray machine through the emulation of row droplet both at home and abroad, but, because the limitation of this system can not be in conjunction with actual job object and operating environment, therefore application often is restricted.
Summary of the invention
The object of the present invention is to provide a kind of spraying emulation mode based on the simulation of droplet cloud, by simulating actual farmland operation complex environment, set up virtual spraying analogue system, can provide spraying operation multinomial visual operational indicator analysis, and to take the effective deposition of droplet be objective function, optimize every technical parameter in spraying system, thereby provide certain reference for actual plant protection operation process.
In order to achieve the above object, the technical solution used in the present invention is:
The step of the inventive method is as follows:
1) the applying three-dimensional stereoscopic camera obtains plant body three dimensional point cloud, and deletes method and coordinate transform processing by a cloud, simulates actual crop plant;
2), under definite shower nozzle model, shower nozzle coordinate and spray technique Parameter Conditions, describe operator by Lagrangian track and describe spraying droplet Particles Moving track;
3) design a kind of spraying droplet Particles Moving track and plant point cloud intersection algorithm, differentiate droplet and whether drop on the plant body and calculate its drop point site;
4), according to the spraying operation rate request, constantly change the shower nozzle volume coordinate and complete dynamic similation, until export the mist droplet deposition rate and optimize spray height after reaching stop condition.
AB+AC-BC<2AD
Described continuous variation shower nozzle volume coordinate completes dynamic similation, can simulate the Dynamic spraying process, nozzle position is changed according to the spraying operation rate request, after reaching the emulation step number Maxstep that stop condition complete requirement, calculate the sprayed deposit rate of this operation height condition lower nozzle, by repeatedly analog result comparison, realize the optimization of spray height parameter, the computing formula of droplet product rate is as follows:
C = Σ j = 1 p Σ i = 1 n N ij 1 m ij Σ j = 1 p Σ i = 1 n N ij m ij
Wherein C is the mist droplet deposition rate;
Figure BDA00003568435600022
for the droplet mark vector, dropping on value on plant is 1, and the value on the ground that falls is 0, N ijfor all droplet mark vector values are 1, m ijfor Quality of fogdrop corresponding to droplet identification number.
The beneficial effect that the present invention has is:
The present invention can provide spraying operation visual operational indicator analysis, and to take the effective deposition of droplet be objective function, acquisition optimum spraying operation height, thereby provide certain reference for reducing actual plant protection operation process Pesticides use amount.
The accompanying drawing explanation
Fig. 1 means specific implementation process flow diagram of the present invention.
Fig. 2 is three-dimensional collected by camera plant point Yun Yuantu.
Fig. 3 be through deleting and coordinate transform after the plant point cloud chart.
Fig. 4 is the Dynamic spraying design sketch.
Fig. 5 is spray height and mist droplet deposition rate graph of a relation.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
As shown in Figure 1, realization flow of the present invention is as follows:
1) the applying three-dimensional stereoscopic camera obtains plant body three dimensional point cloud, and deletes method and coordinate transform processing by a cloud, simulates actual crop plant;
2), under definite shower nozzle model, shower nozzle coordinate and spray technique Parameter Conditions, describe operator by Lagrangian track and describe spraying droplet Particles Moving track;
3) design a kind of spraying droplet Particles Moving track and plant point cloud intersection algorithm, differentiate droplet and whether drop on the plant body and calculate its drop point site;
4), according to the spraying operation rate request, constantly change the shower nozzle volume coordinate and complete dynamic similation, until export the mist droplet deposition rate and optimize spray height after reaching stop condition.
S110: use the 3 D stereo camera to get and obtain the plant cloud data, utilize the distance samples method to complete a cloud and delete, sampled distance is r, and the some cloud after deleting is carried out to coordinate transform, and coordinate transformation algorithm is described below:
Choosing plant model root is some N, and the stem that chooses upwards growth is some M, vector for the normal vector of plane Π, N is a bit in the Π plane, and the formula of establishing Π is Ax+By+Cz+D=0, x - x o l = y - y o m = z - z o n , ? MN ⊥ Π ⇔ S / / n ? A l = B m = C n , Bring the N point coordinate into and obtain the XOY plane formula, select two uneven vectors on XOY plane, and carry out orthogonalization unit by Schmidt orthogonalization, the Schmidt orthogonalization procedure is as follows:
If α 1, α 2..., α slinear independence, construct β 1, β 2..., β smake its pairwise orthogonal, and β ionly α 1, α 2..., α ilinear combination, i=1,2 ..., s, then β iunit, note
Figure BDA00003568435600035
γ 1, γ 2..., γ sthe standard Orthogonal Vectors,
β wherein 11, β 2 = α 2 - ( α 2 , β 1 ) ( β 1 , β 1 ) β 1 ,
β 3 = α 3 - ( α 3 , β 1 ) ( β 1 , β 1 ) β 1 - ( α 3 , β 2 ) ( β 2 , β 2 ) β 2 ,
……
β s = α s = - ( α s , β 1 ) ( β 1 , β 1 ) β 1 - ( α s , β 2 ) ( β 2 , β 2 ) β 2 - · · · ( α s , β s - 1 ) ( β s - 1 , β s - 1 ) β s - 1
To two groups of bases that obtain, use transformation for mula to obtain the coordinate of millet cake cloud under new coordinate system, transformation for mula is as follows: if vectorial γ is the arbitrary vector in the n-dimensional vector SPACE V, it is at base α 1, α 2..., α swith base β 1, β 2..., β scoordinate be respectively X=(x 1, x 1..., x n) t, Y=(y 1, y 1..., y n) t,
Be γ=x 1α 1+ x 2α 2+ ... + x nα n=y 1β 1+ y 2β 2+ ... + y nβ n,
The vectorial coordinate transformation for mula is Y=C -1x
Wherein C is from base α 1, α 2..., α sto base β 1, β 2..., β sexcessive matrix, excessively Matrix Formula is as follows:
C=(α 1,α 2,…,α n) T1,β 2,…,β n)。
S120: under definite shower nozzle model, shower nozzle coordinate and spray technique Parameter Conditions, take particIe system as basic description means, by Lagrangian method, calculate droplet Particles Moving track, it is as follows that Lagrange is described the Particles Moving equation:
F → g + F → f + F → w = m d v → p dt
m p dv px dt = F fx + F wx m p dv py dt = F fy + F wy m p dv pz dt = F fz + F wz + F g
V wherein px, v py, v pzfor droplet particle rapidity vector at x, y, the speed component on the z direction, t is the time, F gfor droplet particle gravity
Figure BDA00003568435600044
m wherein ρfor the droplet mass particle, D is the droplet particle diameter, and ρ is the droplet particle density, and g is acceleration of gravity, F fx, F fy, F fzfor the droplet particle is subject to air resistance
Figure BDA00003568435600045
at x, y, the component on the z direction, air resistance
Figure BDA00003568435600046
wherein μ is aerodynamic force viscosity,
Figure BDA00003568435600047
for droplet Particles Moving velocity, F wx, F wy, F wzfor the droplet particle is subject to the wind drag force
Figure BDA00003568435600048
at x, y, the component on the z direction,
Figure BDA00003568435600049
for the wind drag force
Figure BDA000035684356000410
wherein for wind vector, when indoor calm experiment, think by time increment method, the Particles Moving in each time step is done to certain simplification, think according to every step just the motion state of particle determine the motion state of every step end particle, by the time, every step is progressively followed the tracks of, obtain the movement locus of particle in whole flight course, the droplet equation of motion is one group of nonlinear ordinary differential equation group, here adopt easy Local approximation solution, by time increment method, publicity is simplified, solution formula is as follows:
v px n + 1 = v px n e - Δt τ + F fx τ m p ( 1 - e - Δt τ ) v py n + 1 = v py n e - Δt τ + F fy τ m p ( 1 - e - Δt τ ) v pz n + 1 = v pz n e - Δt τ + F fz τ m p ( 1 - e - Δt τ )
Wherein, the τ momentum relaxation time, Δ t time step,
Figure BDA000035684356000415
for at n constantly at x, y, the projection on the z direction,
Figure BDA00003568435600051
for at n+1 constantly at x, y, the projection on the z direction, n+1 Δ t constantly, in the locus of known shower nozzle coordinate (x0, y0, z0), single step spraying droplet number num situation, tried to achieve by following system of equations by the locus of each droplet point:
x n + 1 = x n + ( v px n + v px n + 1 ) Δt 2 y n + 1 = y n + ( v py n + v py n + 1 ) Δt 2 z n + 1 = z n + ( v pz n + v pz n + 1 ) Δt 2
Wherein, x n, y n, z nfor the volume coordinate position at n moment droplet particle, x n+1, y n+1, z n+1for the volume coordinate position at n+1 moment droplet particle, droplet particle life cycle shows that this particle participates in the cycle of track emulation, and in the spraying simulation process, droplet particle life cycle ends up being following three kinds of situations:
(1) particle falls earthward;
(2) particle is fallen on target or on manipulating object;
(3) particle rapidity approaches 0.
S130: a kind of droplet track and plant point cloud intersection algorithm are to utilize plant point and directed line segment spatial relation, a Rule of judgment is set and realizes whether droplet drops on plant and drop point site is calculated, suppose: droplet track directed line segment BC is arranged in space, one plant point cloud A is arranged, if the vertical line that AD is triangle ABC, the D point is intersection point, by triangular nature, is obtained:
AD+BD>AB
AD+DC>AC
The addition of binomial formula obtains
2AD+DC+BD>AB+AC
That is: 2AD+BC>AB+AC
Judge whether droplet reaches in a cloud, and drop point site is thought the point of Z-direction numerical value maximum in all mid points that satisfy condition if therefore obtain meeting following formula, wherein by the distance samples method, learn that AD should be greater than 3r.
AB+AC-BC<2AD
AB+AC-BC<2AD
S140, S150, S160: constantly change the shower nozzle volume coordinate and complete dynamic similation, can simulate the Dynamic spraying process, nozzle position is changed according to the spraying operation rate request, after reaching the emulation step number Maxstep that stop condition complete requirement, calculate the sprayed deposit rate of this operation height condition lower nozzle, by repeatedly analog result comparison, realize the optimization of spray height parameter, the computing formula of droplet product rate is as follows:
C = Σ j = 1 p Σ i = 1 n N ij 1 m ij Σ j = 1 p Σ i = 1 n N ij m ij
Wherein C is the mist droplet deposition rate;
Figure 445629DEST_PATH_GDA0000396060240000062
for the droplet mark vector, dropping on value on plant is 1, and the value on the ground that falls is 0, N ijfor all droplet mark vector values are 1, m ijfor Quality of fogdrop corresponding to droplet identification number.
As shown in Figure 2, be the rapeseed plants original point cloud atlas by the 3 D stereo collected by camera, have 45235 points.As shown in Figure 3, being over-sampling deletes and, through the plant point cloud chart of row-coordinate conversion, has 4574 points apart from the r=2mm sampling, and the spatial point number is reduced to original 10.1%, reduce the calculated amount of subsequent step, selecting the N point coordinate is (24.745010376 ,-158.550506592,1111.473999023), the N point of take is initial point, selecting the M point coordinate is that (32.594978333 ,-141.628906250,1091.062011719) carry out coordinate transform.As shown in Figure 4, be that shower nozzle is 0.2m in spray height, single step spraying cloud point number num is 50, and maximum emulation step number Maxstep is 100 steps, and the shower nozzle Changing Pattern is along the Dynamic spraying design sketch under x direction of principal axis 0.6m/s mobile condition.As shown in Figure 5, that shower nozzle is that 0.1m is to 0.3m in spray height, every the 0.025m altitude simulation once, single step spraying cloud point number num is 50, maximum emulation step number Maxstep is 100 steps, and the shower nozzle Changing Pattern is along the Dynamic spraying design sketch under x direction of principal axis 0.6m/s mobile condition, the relation between spray height and spraying droplet deposition, as can be seen from Figure 5, under current spraying environmental baseline, when spray height is 0.2m, the mist droplet deposition rate reaches maximal value.

Claims (5)

1. the spraying emulation mode based on the simulation of droplet cloud, is characterized in that, the step of the method is as follows:
1) the applying three-dimensional stereoscopic camera obtains plant body three dimensional point cloud, and deletes method and coordinate transform processing by a cloud, simulates actual crop plant;
2), under definite shower nozzle model, shower nozzle coordinate and spray technique Parameter Conditions, describe operator by Lagrangian track and describe spraying droplet Particles Moving track;
3) design a kind of spraying droplet Particles Moving track and plant point cloud intersection algorithm, differentiate droplet and whether drop on the plant body and calculate its drop point site;
4), according to the spraying operation rate request, constantly change the shower nozzle volume coordinate and complete dynamic similation, until export the mist droplet deposition rate and optimize spray height after reaching stop condition.
2. a kind of spraying emulation mode based on droplet cloud simulation according to claim 1, it is characterized in that: described use 3 D stereo camera is got and is obtained the plant cloud data, utilizing the distance samples method to complete a cloud deletes, sampled distance is r, point cloud after deleting is carried out to coordinate transform, and coordinate transformation algorithm is described below:
Choosing plant model root is some N, and the stem that chooses upwards growth is some M, vector
Figure FDA00003568435500011
for the normal vector of plane Π, N is a bit in the Π plane, and the formula of establishing Π is Ax+By+Cz+D=0,
Figure FDA00003568435500012
?
Figure FDA00003568435500013
? bring the N point coordinate into and obtain the XOY plane formula, select two uneven vectors on XOY plane, and carry out orthogonalization unit by Schmidt orthogonalization, the Schmidt orthogonalization procedure is as follows:
If α 1, α 2..., α slinear independence, construct β 1, β 2..., β smake its pairwise orthogonal, and β ionly α 1, α 2..., α ilinear combination, i=1,2 ..., s, then β iunit, note
Figure FDA00003568435500015
γ 1, γ 2..., γ sthe standard Orthogonal Vectors,
β wherein 11,
Figure FDA00003568435500016
Figure FDA00003568435500017
……
To two groups of bases that obtain, use transformation for mula to obtain the coordinate of millet cake cloud under new coordinate system, transformation for mula is as follows: if vectorial γ is the arbitrary vector in the n-dimensional vector SPACE V, it is at base α 1, α 2..., α swith base β 1, β 2..., β scoordinate be respectively X=(x 1, x 1..., x n) t, Y=(y 1, y 1..., y n) t,
Be γ=x 1α 1+ x 2α 2+ ... + x nα n=y 1β 1+ y 2β 2+ ... + y nβ n,
The vectorial coordinate transformation for mula is Y=C -1x
Wherein C is from base α 1, α 2..., α sto base β 1, β 2..., β sexcessive matrix, excessively Matrix Formula is as follows:
C=(α 1,α 2,…,α n) T1,β 2,…,β n)。
3. a kind of spraying emulation mode based on droplet cloud simulation according to claim 1, it is characterized in that: described under definite shower nozzle model, shower nozzle coordinate and spray technique Parameter Conditions, take particIe system as basic description means, calculate droplet Particles Moving track by Lagrangian method, it is as follows that Lagrange is described the Particles Moving equation:
Figure FDA00003568435500022
V wherein px, v py, v pzfor droplet particle rapidity vector
Figure FDA00003568435500024
at x, y, the speed component on the z direction, t is the time, F gfor droplet particle gravity
Figure FDA00003568435500025
m wherein ρfor the droplet mass particle, D is the droplet particle diameter, and ρ is the droplet particle density, and g is acceleration of gravity, F fx, F fy, F fzfor the droplet particle is subject to air resistance
Figure FDA00003568435500026
at x, y, the component on the z direction, air resistance
Figure FDA00003568435500027
wherein μ is aerodynamic force viscosity,
Figure FDA00003568435500028
for droplet Particles Moving velocity, F wx, F wy, F wzfor the droplet particle is subject to the wind drag force
Figure FDA00003568435500029
at x, y, the component on the z direction,
Figure FDA00003568435500031
for the wind drag force
Figure FDA00003568435500032
wherein for wind vector, when indoor calm experiment, think
Figure FDA00003568435500034
by time increment method, the Particles Moving in each time step is done to certain simplification, think according to every step just the motion state of particle determine the motion state of every step end particle, by the time, every step is progressively followed the tracks of, obtain the movement locus of particle in whole flight course, the droplet equation of motion is one group of nonlinear ordinary differential equation group, here adopt easy Local approximation solution, by time increment method, publicity is simplified, solution formula is as follows:
Figure FDA00003568435500035
Wherein, the τ momentum relaxation time, Δ t time step,
Figure FDA00003568435500036
for at n constantly
Figure FDA00003568435500037
at x, y, the projection on the z direction,
Figure FDA00003568435500038
for at n+1 constantly
Figure FDA00003568435500039
at x, y, the projection on the z direction, n+1 Δ t constantly, in the locus of known shower nozzle coordinate (x0, y0, z0), single step spraying droplet number num situation, tried to achieve by following system of equations by the locus of each droplet point:
Figure FDA000035684355000310
Wherein, x n, y n, z nfor the volume coordinate position at n moment droplet particle, x n+1, y n+1, z n+1for the volume coordinate position at n+1 moment droplet particle, droplet particle life cycle shows that this particle participates in the cycle of track emulation, and in the spraying simulation process, droplet particle life cycle ends up being following three kinds of situations:
(1) particle falls earthward;
(2) particle is fallen on target or on manipulating object;
(3) particle rapidity approaches 0.
4. a kind of spraying emulation mode based on droplet cloud simulation according to claim 1, it is characterized in that: described a kind of droplet track and plant point cloud intersection algorithm are to utilize plant point and directed line segment spatial relation, a Rule of judgment is set and realizes whether droplet drops on plant and drop point site is calculated, suppose: droplet track directed line segment BC is arranged in space, one plant point cloud A is arranged, if the vertical line that AD is triangle ABC, the D point is intersection point, by triangular nature, is obtained:
AD+BD>AB
AD+DC>AC
The addition of binomial formula obtains
2AD+DC+BD>AB+AC
That is: 2AD+BC>AB+AC
Judge whether droplet reaches in a cloud, and drop point site is thought the point of Z-direction numerical value maximum in all mid points that satisfy condition if therefore obtain meeting following formula, wherein by the distance samples method, learn that AD should be greater than
Figure RE-FDA0000396060230000043
AB+AC-BC<2AD。
5. a kind of spraying emulation mode based on droplet cloud simulation according to claim 1, it is characterized in that: described continuous variation shower nozzle volume coordinate completes dynamic similation, can simulate the Dynamic spraying process, nozzle position is changed according to the spraying operation rate request, after reaching the emulation step number Maxstep that stop condition complete requirement, calculate the sprayed deposit rate of this operation height condition lower nozzle, by repeatedly analog result comparison, realize the optimization of spray height parameter, the computing formula of droplet product rate is as follows:
Wherein C is the mist droplet deposition rate; for the droplet mark vector, dropping on value on plant is 1, and the value on the ground that falls is 0, N ijfor all droplet mark vector values are 1, m ijfor Quality of fogdrop corresponding to droplet identification number.
CN201310319781.6A 2013-07-25 2013-07-25 A kind of spraying emulation mode based on the simulation of droplet cloud Expired - Fee Related CN103455661B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310319781.6A CN103455661B (en) 2013-07-25 2013-07-25 A kind of spraying emulation mode based on the simulation of droplet cloud

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310319781.6A CN103455661B (en) 2013-07-25 2013-07-25 A kind of spraying emulation mode based on the simulation of droplet cloud

Publications (2)

Publication Number Publication Date
CN103455661A true CN103455661A (en) 2013-12-18
CN103455661B CN103455661B (en) 2016-05-11

Family

ID=49738017

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310319781.6A Expired - Fee Related CN103455661B (en) 2013-07-25 2013-07-25 A kind of spraying emulation mode based on the simulation of droplet cloud

Country Status (1)

Country Link
CN (1) CN103455661B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104756971A (en) * 2015-04-15 2015-07-08 江苏省农业科学院 Quantitative simulation device and method for pesticide droplet deposition structure
CN107145692A (en) * 2017-06-22 2017-09-08 山东农业大学 A kind of dispenser mist droplet deposition Forecasting Methodology based on CFD and crop porosity similitude
CN111307150A (en) * 2020-02-27 2020-06-19 华南农业大学 Flexible plant airflow characterization physical parameter extraction device and method
CN112798214A (en) * 2021-04-08 2021-05-14 中国空气动力研究与发展中心低速空气动力研究所 Testing device and testing method capable of controlling icing area
CN115053882A (en) * 2022-08-05 2022-09-16 北京市农林科学院智能装备技术研究中心 Aerial pesticide application method and device, electronic equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080004846A1 (en) * 2004-07-27 2008-01-03 Plant Engineering Corporation Fluid Spray Simulation Method, Computer Program, Object To Be Sprayed, Bath, Bath Manufacturing System, And Spray Nozzle
CN101398865A (en) * 2008-06-05 2009-04-01 浙江工业大学 System and method for designing aerial fog jug forming and punching mold
CN101739488A (en) * 2009-12-10 2010-06-16 广西大学 Method for modeling paint deposition rate model adapting to complex free curved surface spraying

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080004846A1 (en) * 2004-07-27 2008-01-03 Plant Engineering Corporation Fluid Spray Simulation Method, Computer Program, Object To Be Sprayed, Bath, Bath Manufacturing System, And Spray Nozzle
CN101398865A (en) * 2008-06-05 2009-04-01 浙江工业大学 System and method for designing aerial fog jug forming and punching mold
CN101739488A (en) * 2009-12-10 2010-06-16 广西大学 Method for modeling paint deposition rate model adapting to complex free curved surface spraying

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
苑进等: "考虑自然风的气辅式喷雾雾滴飘失特性建模与补偿", 《农业工程学报》, vol. 29, no. 14, 15 July 2013 (2013-07-15), pages 45 - 52 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104756971A (en) * 2015-04-15 2015-07-08 江苏省农业科学院 Quantitative simulation device and method for pesticide droplet deposition structure
CN107145692A (en) * 2017-06-22 2017-09-08 山东农业大学 A kind of dispenser mist droplet deposition Forecasting Methodology based on CFD and crop porosity similitude
CN107145692B (en) * 2017-06-22 2020-03-10 山东农业大学 Pesticide application droplet deposition prediction method based on similarity of CFD and crop porosity
CN111307150A (en) * 2020-02-27 2020-06-19 华南农业大学 Flexible plant airflow characterization physical parameter extraction device and method
CN112798214A (en) * 2021-04-08 2021-05-14 中国空气动力研究与发展中心低速空气动力研究所 Testing device and testing method capable of controlling icing area
CN112798214B (en) * 2021-04-08 2021-07-16 中国空气动力研究与发展中心低速空气动力研究所 Testing device and testing method capable of controlling icing area
CN115053882A (en) * 2022-08-05 2022-09-16 北京市农林科学院智能装备技术研究中心 Aerial pesticide application method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
CN103455661B (en) 2016-05-11

Similar Documents

Publication Publication Date Title
CN110309579B (en) Simulation analysis method and system for gust response of elastic aircraft
CN103455661B (en) A kind of spraying emulation mode based on the simulation of droplet cloud
Moore et al. Robust post-stall perching with a simple fixed-wing glider using LQR-Trees
CN103472850B (en) A kind of multiple no-manned plane collaboratively searching method based on Gaussian distribution prediction
CN102522026B (en) Flight icing simulator
CN104571123B (en) Method and system for aerial pesticide application real time dynamic wind field simulation
CN103399986B (en) Based on differential geometric space manipulator modeling method
CN103853050A (en) PID optimization control method of four-rotor aircraft
CN107065859A (en) The trajectory predictions method of multiple mobile robot
CN103324993B (en) A kind of track optimizing method based on multi-aircraft cooperation
CN104536448A (en) Backstepping based control method for unmanned-plane attitude system
CN108181806A (en) Robot for space position and posture Auto-disturbance-rejection Control based on sampling output
CN105204511B (en) A kind of decision-making technique of object autonomous
CN112819303A (en) PCE agent model-based aircraft tracking efficiency evaluation method and system
Li et al. Performance characterization on downwash flow and spray drift of multirotor unmanned agricultural aircraft system based on CFD
Tian et al. Agricultural UAV path planning based on improved A* and gravity search mixed algorithm
Yang et al. Influence of UAV rotor down-wash airflow for droplet penetration
CN104715133B (en) A kind of kinematics parameters in-orbit identification method and apparatus of object to be identified
Ge et al. Trajectory planning of fixed-wing UAV using kinodynamic RRT algorithm
Qiu et al. Three-dimensional virtual-real mapping of aircraft automatic spray operation and online simulation monitoring
Wang et al. Real-time data driven simulation of air contaminant dispersion using particle filter and UAV sensory system
Jiang et al. Mobile robot obstacle avoidance based on improved artificial potential field method
Liu et al. Application of improved PSO in PID parameter optimization of quadrotor
Misaka et al. Numerical simulation of jet-wake vortex interaction
Zhiwei et al. Simulation research on trajectory tracking controller based on MPC algorithm

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
CB03 Change of inventor or designer information

Inventor after: Jiang Huanyu

Inventor after: Zhang Lijun

Inventor after: Shi Weinan

Inventor after: Zhou Mingchuan

Inventor after: Gao Tianqi

Inventor after: Li Huarong

Inventor before: Jiang Huanyu

Inventor before: Zhou Mingchuan

Inventor before: Gao Tianqi

Inventor before: Li Huarong

COR Change of bibliographic data
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160511

Termination date: 20190725

CF01 Termination of patent right due to non-payment of annual fee