CN110765637A - Layer cloud and mist environment simulation method - Google Patents

Layer cloud and mist environment simulation method Download PDF

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CN110765637A
CN110765637A CN201911066989.5A CN201911066989A CN110765637A CN 110765637 A CN110765637 A CN 110765637A CN 201911066989 A CN201911066989 A CN 201911066989A CN 110765637 A CN110765637 A CN 110765637A
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cloud
mist
fitting
droplet spectrum
ultrasonic
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CN110765637B (en
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陈建霖
薛日江
杜丽杰
马添
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Xi'an Yisheng Taihe Technology Co Ltd
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Xi'an Yisheng Taihe Technology Co Ltd
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Abstract

The invention discloses a layer cloud and cloud fog environment simulation method, which comprises the following steps: drawing a cloud droplet spectrum curve, and researching the relation between the diameter of the droplets and the quantity of the droplets under different water contents; drawing an ultrasonic fogging droplet spectrum curve under the condition of no voltage; comparing and analyzing the ultrasonic fogging droplet spectrum curve and the layer cloud fogging droplet spectrum curve on the same coordinate axis; fitting a layer cloud droplet spectrum curve by using a common multi-order Gamma distribution function of the droplet spectrum fitting to obtain a fitting formula; drawing a fitting curve according to a fitting formula, and comparing the relation among a layer cloud droplet spectrum curve, an ultrasonic fogging droplet spectrum curve and the fitting curve on the same coordinate axis; and controlling the ultrasonic mist generator to simulate a cloud and mist environment of a layer of cloud, and humidifying indoor air to start mist generation. The method for simulating the cloud and mist environment is safe and environment-friendly, reasonable in basis, capable of truly restoring the cloud and mist environment, and capable of providing a cloud and mist drop spectrum fitting formula for the simulation research of the cloud and mist.

Description

Layer cloud and mist environment simulation method
Technical Field
The invention belongs to the technical field of artificial fog, and particularly relates to a layer cloud and fog environment simulation method.
Background
In modern high-tech wars, accurate shooting of accurate optical guided weapons has been widely used. With the increasing precision of high-technology precise guided weapons, the performance of the high-technology precise guided weapons is more sensitive to the atmospheric environment, and the environment becomes an important reason for influencing the hit precision of the high-technology precise guided weapons. Under the present circumstances, overcoming the influence of the atmospheric environment or performing effective correction has become an important issue to further improve the performance or accuracy thereof. Mist clouds are an important environmental factor affecting the performance of precision guided munitions. Disturbance, absorption, scattering and reflection of infrared, laser and visible light by the cloud and fog environment greatly reduce the operating distance and confidence of accurate guidance. Therefore, whether the infrared, laser and visible light guidance systems can play their normal roles is limited by the atmospheric cloud environment. The effect of a cloud on a guided munition has been described qualitatively only. The existing artificial fog method mainly comprises two types, one is to generate artificial fog through ultrasonic high-frequency oscillation, the other is to utilize a plunger pump to pressurize purified water to about 7MPa, the pressurized water is conveyed to an ultra-fine nozzle through a high-pressure thick-wall pipe to be atomized and rotates at a high speed to generate ultra-fine fog particles to be sprayed to the whole space. Under the existing experimental conditions, the irreproducibility of the natural environment not only makes people difficult to repeatedly verify the affected degree of the guided munitions, but also makes people difficult to standardize and calibrate. Quantitative description of the degree of influence of clouds on precision guided munitions is a common concern.
In order to simulate the cloud and mist environment in a battlefield environment, research the running state of a fighter plane in different cloud and mist environments, better evaluate the effect of the accurate optical guidance weapon equipment on the operational use, which is influenced by the cloud and mist, and development of a cloud and mist simulation test is very necessary. At present, cloud and fog simulation mainly aims at cloud and fog weather of various natural environments such as rainy layer cloud, laminated cloud, layered cloud, accumulated cloud, rainy cloud, radiation fog, advection fog and the like. The existing cloud and mist simulation method cannot accurately calibrate and quantitatively simulate the cloud and mist.
Disclosure of Invention
The invention provides a layer cloud and mist environment simulation method, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a layer cloud and mist environment simulation method comprises the following steps:
s1: drawing a cloud droplet spectrum curve, and researching the relation between the diameter of the droplets and the quantity of the droplets under different water contents;
s2: drawing an ultrasonic fogging droplet spectrum curve under no voltage according to the particle diameter detection report data of the ultrasonic fogging device;
s3: comparing and analyzing the ultrasonic fogging droplet spectrum curve and the layer cloud fogging droplet spectrum curve on the same coordinate axis to obtain a conclusion: when the diameter of the fog drops is smaller than 12 mu m, the ultrasonic fogging fog drop spectrum curve is basically similar to the layer cloud fog drop spectrum curve;
s4: carrying out fitting verification on a layer cloud droplet spectrum curve by using a common multi-order Gamma distribution function of droplet spectrum fitting to obtain a fitting formula;
s5: drawing a fitting curve according to a fitting formula, and comparing the relation among a layer cloud droplet spectrum curve, an ultrasonic fogging droplet spectrum curve and the fitting curve in the same coordinate axis to obtain a conclusion: the specific voltage ultrasonic mist making can simulate a cloud and mist environment and a fitting formula can be used for cloud simulation;
s6: the ultrasonic mist generator is utilized to simulate a cloud and mist environment of a layer cloud, and the indoor air is humidified to start mist generation.
Further, in S4, the first step,
the fog drop spectrum fitting common multi-order Gamma distribution theoretical formula is as follows:
N(D)=N0Dμexp(-λD)
in the formula:
n (D) -the number of fog drops per unit volume at unit scale interval, one per cm3
N0-reference value of number of droplets per unit volume per unit size of stratosphere, unit/cm3
D is the diameter of fog drop particles, mu m;
μ — distribution shape factor;
λ -slope factor;
and (3) calculating mu and lambda according to the cloud droplet spectrum curve to obtain a fitting formula as follows:
N(D)=N0D2.7491exp(-0.9623D)。
further, in S6, the ultrasonic mist generator has two functions of humidifying and mist generating.
Further, in S6, the voltage of the ultrasonic mist generator during mist generation is set to DC24V or DC 22V. Further, in S6, the room air was humidified to 95% RH or more before fogging.
Further, in S6, the humidification amount of air is calculated as follows:
m1=L×W×H×ρ×(d2-d1)÷t
m1-the amount of air humidification, kg/h;
l, W, H-laboratory length, width, height, m;
rho-air density at normal temperature and humidity, kg/m3
d 1-moisture content with air humidity above 95% RH, g/kg;
d 2-moisture content of air at normal temperature and normal humidity, g/kg;
t is the air humidification setting time, h.
Further, in S6, the fogging amount calculation formula is as follows:
m2=L×W×H×d×n÷t
m2-fogging amount, kg/h;
l, W, H-laboratory length, width, height, m;
d-maximum laboratory Water content, 3g/m3
n-safety factor, 1.2;
t is the air humidification setting time, h.
Compared with the prior art, the invention has at least the following beneficial technical effects:
1. according to the layer cloud and mist simulation method, a layer cloud and mist environment is reproduced in a laboratory, the humidifying equipment and the mist making equipment are integrated by using ultrasonic mist making, and the cost is saved as the independent humidifying equipment is not needed;
2. according to the layer cloud and fog simulation method, the layer cloud simulation is provided for researching a layer cloud and fog drop spectrum fitting formula, so that powerful support is provided for layer cloud simulation;
3. the layer cloud and mist simulation method is safe and environment-friendly, is convenient to implement, accurately reproduces the layer cloud and mist environment through a manual control means, further researches the influence of the cloud and mist environment on fighters, optical guided weapons and the like, and provides a research platform for battlefield environment and optical guided weapons.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a plot of a lamellar cloud droplet spectrum;
FIG. 2 is a graph of a droplet spectrum of ultrasonic fogging at an ultrasonic fogger voltage of DC 24V;
FIG. 3 is a graph of a droplet spectrum of ultrasonic fogging at an ultrasonic fogger voltage of DC 22V;
FIG. 4 is a graph comparing a cloud droplet profile with an ultrasonic fogging droplet profile at DC 22V;
FIG. 5 is a comparison of an ultrasonic fogging spectrum curve at DC22V with a fitted curve for a cloud droplet spectrum curve.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The invention provides a layer cloud and mist simulation method, which comprises the following specific implementation modes:
s1: drawing a laminar cloud droplet spectrum curve according to the data of the airplane detection cloud and mist data of the five northern provinces in China, and researching the relationship between the diameters of the mist droplets and the quantity of cloud and mist particles under three water contents. As shown in FIG. 1, the diameter of the droplet is about 30% between 0 and 4 μm, the diameter of the droplet is about 58% between 4 and 8 μm, the diameter of the droplet is about 10% between 8 and 12 μm, the diameter of the droplet is about 2% between 12 and 44 μm, and there is no large droplet with a diameter of 44 μm or more.
S2: and drawing an ultrasonic fogging droplet spectrum curve according to the particle diameter detection report data of the ultrasonic fogging device. Since the fog drop particles generated by the ultrasonic fog-forming fan under different voltages can change, the fog drop spectrum curves of the ultrasonic waves under the voltages of DC24V, DC22V, DC18V, DC12V and DC10V are respectively drawn, and the particle diameter is the smallest under the conditions of DC24V or DC 22V. As shown in FIGS. 2 and 3, the ratio of the diameter of the droplets in the range of 0-4 μm is about 20%, and the ratio of the diameter of the droplets in the range of 4-8 μm is about 50%, which is relatively close to the spectral distribution of natural layer cloud.
S3: when the ultrasonic fogging curve and the layer cloud fogging spectrum curve of the DC22V were analyzed in comparison on the same coordinate axis, as shown in FIG. 4, the fogging spectrum curves were substantially similar when the diameter of the fogging was less than 12 μm.
S4: the particle size spectrum of the cloud and the mist is subjected to fitting verification by utilizing the common multi-order Gamma distribution of mist drop spectrum fitting,
the theoretical formula is as follows:
N(D)=N0Dμexp(-λD)
in the formula:
n (D) -the number of fog drops per unit volume at unit scale interval, one per cm3
N0-reference value of number of droplets per unit volume per unit size of stratosphere, unit/cm3
D is the diameter of fog drop particles, mu m;
μ — distribution shape factor;
λ -slope factor;
values of distribution shape factors and slope factors of different fogdrop spectral curves are different, mu and lambda are calculated according to the distribution curve of the stratums, and the fitting formula is obtained as follows:
N(D)=N0D2.7491exp(-0.9623D)
s5: and drawing a curve according to a fitting formula to obtain the relation among the layer cloud droplet spectrum, the ultrasonic fogging droplet spectrum curve and the fitting curve, wherein as shown in fig. 5, the maximum error of the ultrasonic fogging droplet spectrum curve and the layer cloud droplet spectrum curve is 16.5%, the maximum error of the ultrasonic fogging droplet spectrum curve and the formula fitting curve is 23.3%, the maximum error of the layer cloud droplet spectrum curve and the fitting formula droplet spectrum curve is 7.1%, and the theory shows that the ultrasonic fogging DC24V and the DC22V can simulate the layer cloud fog environment.
S6: in an actual test, the cloud and fog environment of the simulated layer cloud is divided into two parts by utilizing ultrasonic wave mist making, the air humidification quantity and the mist making humidification quantity are increased, and the mist making is started after the indoor air is humidified to be more than 95% RH during the mist making.
The amount of air humidification is calculated as follows:
m1=L×W×H×ρ×(d2-d1)÷t
the fogging amount calculation formula is as follows:
m2=L×W×H×d×n÷t
m1-air humidification amount, kg/h;
m2-amount of mist formation, kg/h;
l, W, H-laboratory length, width, height, m;
rho-air density in kg/m at ambient temperature and ambient humidity3
d 1-moisture content, g/kg, with air humidity above 95% RH;
d 2-moisture content of air at normal temperature and normal humidity, g/kg;
d-maximum laboratory Water content, 3g/m3
n-safety factor, 1.2;
t is the air humidification setting time, h.
According to the method, a cloud and cloud environment is reproduced in a laboratory, the humidifying equipment and the fog making equipment are integrated by using ultrasonic fog making, and the cost is saved as the independent humidifying equipment is not needed; a large amount of data is collected, and through multiple times of double verification of actual and theoretical formulas, persuasiveness is high, correctness of the method is guaranteed, and a layer cloud droplet spectrum fitting formula is provided for layer cloud simulation research. In conclusion, the layered cloud and cloud environment simulation method provided by the invention is safe and environment-friendly, reasonable in basis, and capable of truly restoring the layered cloud and cloud environment, and provides a research platform for battlefield environment and optical guidance weapon research.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.

Claims (7)

1. A layer cloud and mist environment simulation method is characterized by comprising the following steps:
s1: drawing a cloud droplet spectrum curve, and researching the relation between the diameter of the droplets and the quantity of the droplets under different water contents;
s2: drawing an ultrasonic fogging droplet spectrum curve under no voltage according to the particle diameter detection report data of the ultrasonic fogging device;
s3: comparing and analyzing the ultrasonic fogging droplet spectrum curve and the layer cloud fogging droplet spectrum curve on the same coordinate axis;
s4: fitting a layer cloud droplet spectrum curve by using a common multi-order Gamma distribution function of the droplet spectrum fitting to obtain a fitting formula;
s5: drawing a fitting curve according to a fitting formula, and comparing the relation among a layer cloud droplet spectrum curve, an ultrasonic fogging droplet spectrum curve and the fitting curve on the same coordinate axis;
s6: and controlling the ultrasonic mist generator to simulate a cloud and mist environment of a layer of cloud, and humidifying indoor air to start mist generation.
2. The method of claim 1, wherein in S4,
the fog drop spectrum fitting common multi-order Gamma distribution theoretical formula is as follows:
N(D)=N0Dμexp(-λD)
in the formula:
n (D) -the number of fog drops per unit volume at unit scale interval, one per cm3
N0-reference value of number of droplets per unit volume per unit size of stratosphere, unit/cm3
D is the diameter of fog drop particles, mu m;
μ — distribution shape factor;
λ -slope factor;
and (3) calculating mu and lambda according to the cloud droplet spectrum curve to obtain a fitting formula as follows:
N(D)=N0D2.7491exp(-0.9623D)。
3. the method of claim 1, wherein in step S6, the ultrasonic mist generator has both humidifying and mist-generating functions.
4. The method of claim 1, wherein in step S6, the voltage of the ultrasonic mist generator is set to DC24V or DC 22V.
5. The method of claim 1, wherein in step S6, the indoor air is humidified to 95% RH or more before fogging.
6. The method of claim 1, wherein in step S6, the air humidification amount is calculated as follows:
m1=L×W×H×ρ×(d2-d1)÷t
m1-the amount of air humidification, kg/h;
l, W, H-laboratory length, width, height, m;
rho-air density at normal temperature and humidity, kg/m3
d 1-moisture content with air humidity above 95% RH, g/kg;
d 2-moisture content of air at normal temperature and normal humidity, g/kg;
t is the air humidification setting time, h.
7. The method for simulating a cloud-cloud fog environment of claim 1, wherein in S6, the fog-forming quantity is calculated as follows:
m2=L×W×H×d×n÷t
m2-fogging amount, kg/h;
l, W, H-laboratory length, width, height, m;
d-maximum laboratory Water content, 3g/m3
n-safety factor, 1.2;
t is the air humidification setting time, h.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111871646A (en) * 2020-08-27 2020-11-03 河北省人工影响天气办公室 Mist making system and method capable of realizing polymorphic mist

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4154089A (en) * 1978-06-12 1979-05-15 The United States Of America As Represented By The Secretary Of The Army Apparatus and method for measuring liquid water content of a cloud or fog
JP2014040996A (en) * 2012-07-23 2014-03-06 Iris Ohyama Inc Control method for humidification mechanism
CN103926634A (en) * 2014-03-12 2014-07-16 长江水利委员会长江科学院 Daytime land radiation fog remote sensing monitoring method based on object-oriented classification
CN105115863A (en) * 2015-09-14 2015-12-02 国家电网公司 Phytotron haze environment simulating device and haze environment simulating method thereof
CN204944991U (en) * 2015-09-14 2016-01-06 国家电网公司 A kind of phytotron haze environment simulation device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4154089A (en) * 1978-06-12 1979-05-15 The United States Of America As Represented By The Secretary Of The Army Apparatus and method for measuring liquid water content of a cloud or fog
JP2014040996A (en) * 2012-07-23 2014-03-06 Iris Ohyama Inc Control method for humidification mechanism
CN103926634A (en) * 2014-03-12 2014-07-16 长江水利委员会长江科学院 Daytime land radiation fog remote sensing monitoring method based on object-oriented classification
CN105115863A (en) * 2015-09-14 2015-12-02 国家电网公司 Phytotron haze environment simulating device and haze environment simulating method thereof
CN204944991U (en) * 2015-09-14 2016-01-06 国家电网公司 A kind of phytotron haze environment simulation device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
周星里;谢亚楠;杨正得;: "云雾对电磁传输特性影响的研究" *
张彤,龚乃虎: "小型垂直过冷云风洞的超声波振子造雾系统" *
张志标;高太长;谢邦力;孙祥志;: "人造云雾对电视制导武器影响的半物理仿真研究" *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111871646A (en) * 2020-08-27 2020-11-03 河北省人工影响天气办公室 Mist making system and method capable of realizing polymorphic mist
CN111871646B (en) * 2020-08-27 2023-12-12 河北省人工影响天气中心 Mist making system and method capable of realizing multi-form mist

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