CN117033883B - Data fusion processing system for pilot bomb semi-physical simulation experiment miss distance and real bomb flight experiment miss distance - Google Patents

Data fusion processing system for pilot bomb semi-physical simulation experiment miss distance and real bomb flight experiment miss distance Download PDF

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CN117033883B
CN117033883B CN202211712258.5A CN202211712258A CN117033883B CN 117033883 B CN117033883 B CN 117033883B CN 202211712258 A CN202211712258 A CN 202211712258A CN 117033883 B CN117033883 B CN 117033883B
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CN117033883A (en
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张培忠
张岩
李艳
施长春
张亚欧
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    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41WEAPONS
    • F41GWEAPON SIGHTS; AIMING
    • F41G3/00Aiming or laying means
    • F41G3/32Devices for testing or checking
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Abstract

The invention provides a data fusion processing system for a guided bomb semi-physical simulation experiment miss distance and a live-action bomb flight experiment miss distance, which comprises a guided bomb semi-physical simulation system, a wooden target plate, a data line, a camera, a remote data line, a computer, a calculation software module for the mean value and the variance of the miss distance, and a step and a method for calculating the mean value and the variance of the miss distance. The invention can integrate the data of the pilot bomb semi-physical simulation experiment miss distance and the data of the live bomb flight experiment miss distance into a group of data, increases the data quantity, improves the evaluation reliability, and solves the problem that the data of the semi-physical experiment miss distance is more and the data of the live bomb flight experiment miss distance is easy to be submerged.

Description

Data fusion processing system for pilot bomb semi-physical simulation experiment miss distance and real bomb flight experiment miss distance
Technical Field
The invention belongs to the field of weapon equipment test identification, and relates to a data fusion processing system for a guided bomb semi-physical simulation experiment miss distance and a live-action bomb flight experiment miss distance.
Background
The hit accuracy performance of guided bombs is typically assessed by the amount of off-target, i.e., the distance from the center of the bullet hole to the center of the cross-line of the wooden target after each guided bomb hits the wooden target. An aerial delivery test is implemented by using an aircraft or an unmanned aerial vehicle to mount guided bombs, and a wooden target board is attacked, because the real bombs and the aircraft are very high in overhead cost, only about 5 guided bombs are used for a group of tests in the real bomb flight test, the obtained data are less, and the reliability is low when the target-off amount is estimated. The data of the target-off amount of the semi-physical simulation experiment of the guided bomb is easy to obtain, the cost of carrying out the experiment in the semi-physical simulation laboratory is low, and if the data is fused with the data of the target-off amount of the live bomb flight experiment for evaluation, the data amount can be increased, and the reliability of the evaluation is improved. However, more data of the miss distance of the semi-physical simulation experiment can 'submerge' the data of the miss distance of the live-action flying experiment, but the reliability of evaluation is affected, after all, people prefer to trust the result of the live-action flying experiment because of more intuitionistic.
Therefore, the invention discloses a data fusion processing system for the off-target amount of the guided bomb semi-physical simulation experiment and the off-target amount of the live-action bomb flight experiment. The system can fuse the data of the off-target amount of the guided bomb semi-physical simulation experiment with the data of the off-target amount of the live-action bomb flight experiment into a group of data, the group of data is more, and the reliability of evaluating the off-target amount can be improved.
Disclosure of Invention
In order to solve the problems that the data of the off-target amount of the guided bomb live-action test is less, the reliability of the estimated off-target amount is lower, the data of the semi-physical simulation off-target amount is easy to obtain, the quantity is more, the data of the off-target amount of the live-action test can be submerged, and the reliability of the estimated off-target amount is reduced. The invention provides a data fusion processing system for a guided bomb semi-physical simulation experiment miss distance and a live-action bomb flight experiment miss distance, which comprises a guided bomb semi-physical simulation system 1, a wooden target plate 2, a data line 3, a camera 4, a remote data line 5, a computer 6 and a calculation software module 7 for the mean value and the variance of the miss distance.
The guided bomb semi-physical simulation system 1 is connected with a computer 6 through a data line 3. The wooden target plate 2 is erected on the ground of an air drop test field, and a cross line is drawn at the center of the wooden target plate 2. The camera 4 is erected right in front of the wooden target plate 2, the lens is aligned with a cross line in the center of the wooden target plate 2, and the view field can cover the whole wooden target plate 2. The camera 4 is connected to a computer 6 via a remote data line 5. A calculation software module 7 for the mean and variance of the off-target quantity is installed on the computer 6.
The semi-physical simulation system 1 of the guided bomb is utilized to carry out a semi-physical simulation experiment on the guided bomb, and the data of the off-target quantity of the semi-physical simulation experiment of the guided bomb is obtained, which is the prior art. And transmitting the data of the off-target quantity of the semi-physical simulation experiment to a computer 6 through a data line 3.
The method comprises the steps of loading a dummy detonator to a guided bomb, wherein the dummy detonator has no function of detonating the guided bomb, the guided bomb is mounted by an airplane or an unmanned aerial vehicle, after the airplane or the unmanned aerial vehicle takes off, the guided bomb is aimed at the center of a cross-shaped line of the wooden target plate 2, the guided bomb is put in, and the hit guided bomb leaves a bullet hole on the wooden target plate 2, so that the method is the prior art.
The process of shooting the guided bombs to attack the wooden target plate 2 by using the camera 4 is utilized to obtain an image of the wooden target plate 2, a bomb hole is reserved on the image, and the image is transmitted to the computer 6 through the remote data line 5.
The image of the wooden target plate 2 is received on the computer 6, the picture of the guided bombs hitting the wooden target plate 2 is intercepted, the distance from the center of the guided bombs to the center of the cross-shaped line is measured according to the center of the guided bombs on the picture, and the actual distance from the center of each guided bombs to the center of the cross-shaped line is obtained after calibration conversion and is recorded as the data of the off-target quantity of the live-action test, which is the prior art.
The data of the off-target amount of the semi-physical simulation experiment and the data of the off-target amount of the live-action flight experiment are imported into a calculation software module 7 of the mean value and the variance of the off-target amount on a computer 6, and the mean value and the variance of the off-target amount are calculated.
The calculation software module 7 of the mean and variance of the off-target quantity starts to calculate, and the steps and the method are as follows:
(1) Setting the data of the off-target quantity of the semi-physical simulation experiment into a sequence Setting data of off-target amount of live-action flight test as sequence/>
(2) Calculation of
Wherein:
(3) Calculating an estimated value of PSR, and setting the estimated value as a credibility c:
wherein: the probability values are normal distribution probability values, which are the prior art.
(4) Construction of fusion profile pi (μ, D) =cpi 0(μ,D)+π1 (μ, D):
First, pi 0(μ,D)=π0(μ|D)π0(D),π0 (D) is the pre-test density of D, which obeys the inverse Γ distribution, the density function is: And alpha 00 is the distribution parameter of pi 0 (D), Whereas pi 0 (μ|D) obeys the normal distribution of N (μ 00D),(η0 > 0), the density function is/>Pi 0(μ,D)=π0(μ|D)π0 (D) obeys the normal-inverse Γ distribution, which is the prior art.
Similarly, pi 1(μ,D)=π1(μ|D)π1 (D) also obeys the normal-inverse Γ distribution.
Thus, the fusion distribution pi (μ, D) =cpi 0(μ,D)+π1 (μ, D) is still subject to the normal-inverse Γ distribution.
(5) Data of off-target quantity in live-action flight testFor pre-test information, the Bayes formula is used to obtain post-test fusion distribution pi (mu, d|X 1), which is the prior art:
wherein:
f(X1|π)=cf(X10)+f(X11),
(6) The Bayes estimates of the outputs μ and D are calculated, namely: average value of off-target quantity Variance of off-target amount: /(I)Wherein lambda 0、λ1 is represented by formula (100),/>
Advantageous effects
The data fusion processing system for the semi-physical simulation experiment miss distance and the live-action flying experiment miss distance can integrate the data of the guided bomb semi-physical simulation experiment miss distance and the data of the live-action flying experiment miss distance into one group of data, increases the data quantity, improves the evaluation reliability, and solves the problems that the data of the semi-physical experiment miss distance is more and the data of the live-action flying experiment miss distance is easy to 'submerge', and the method is novel, scientific and effective.
Drawings
FIG. 1 is a composition diagram of a semi-physical simulation experiment miss distance data and live-action flight experiment miss distance data fusion processing system.
Fig. 2 is a flow chart of the calculation software module 7 of the mean and variance of the off-target quantity.
Detailed Description
The invention is described below with reference to the accompanying drawings.
1-2, A data fusion processing system for the off-target amount of a guided bomb semi-physical simulation experiment and the off-target amount of a live-action flying experiment comprises a guided bomb semi-physical simulation system 1, a wooden target board 2, a data line 3, a camera 4, a remote data line 5, a computer 6 and a calculation software module 7 for the mean value and variance of the off-target amount;
Connecting the guided bomb semi-physical simulation system 1 with a computer 6 through a data line 3; drawing a cross line at the center of the wooden target plate 2; standing the wooden target plate 2 on the ground of an air drop test field; the camera 4 is arranged right in front of the wooden target plate 2, the lens is aligned to the center of the wooden target plate 2, and the view field covers the whole wooden target plate 2; connecting the camera 4 with a computer 6 through a remote data line 5; installing a calculation software module 7 of the mean value and the variance of the off-target quantity on a computer 6;
Performing a semi-physical simulation experiment on the guided bomb by using the guided bomb semi-physical simulation system 1, and collecting data of the off-target amount of the guided bomb semi-physical simulation experiment; transmitting the data of the off-target quantity of the semi-physical simulation experiment to a computer 6 through a data line 3;
Loading a false fuse on the guided bomb so that the guided bomb cannot be detonated, and an airplane or an unmanned aerial vehicle mounts the guided bomb to take off, aims at the center of a cross line of the wooden target plate 2, puts the guided bomb in, and leaves a bullet hole on the wooden target plate 2;
Shooting a process of attacking the wooden target plate 2 by using the camera 4 to shoot a guided bomb, collecting an image of the wooden target plate 2, and transmitting the image to the computer 6 through the remote data line 5;
Receiving an image of the wooden target plate 2 on a computer 6, intercepting a picture of the guided bombs hitting the wooden target plate 2, measuring the distance from the center of each guided bomb hole to the center of a cross-shaped line according to the center of the guided bomb hole left on the picture, and obtaining the actual distance from the center of each guided bomb hole to the center of the cross-shaped line after calibration conversion, wherein the actual distance is recorded as data of the off-target quantity of a live-action flying test;
and the computer 6 is used for importing the data of the off-target quantity of the semi-physical simulation experiment and the data of the off-target quantity of the live-action flight experiment into a calculation software module 7 of the mean value and the variance of the off-target quantity, and calculating the mean value and the variance of the off-target quantity.
The calculation steps and methods of the calculation software module 7 of the mean value and the variance of the off-target quantity are as follows:
(I) Setting the data of the off-target quantity of the semi-physical simulation experiment into a sequence Setting data of off-target amount of live-action flight test as sequence/>
(II) calculation
Wherein:
(III) calculating an estimated value of PSR and setting as a confidence level c:
wherein: Are normal distribution probability values;
(IV) calculating pi 0(μ,D)=π0(μ|D)π0 (D),
Likewise, pi 1(μ,D)=π1(μ|D)π1 (D) is calculated;
constructing fusion distribution pi (μ, D) =cpi 0(μ,D)+π1 (μ, D);
(V) setting data of off-target amount of live-action flight test For pre-test information, calculate
Wherein:
f(X1|π)=cf(X10)+f(X11),
(VI) calculating the mean value of off-target amount according to the post-experiment fusion distribution pi (mu, d|X 1) Calculating variance of off-target amount: /(I)Wherein: lambda 0、λ1 is shown in formula (A)/>

Claims (1)

1. The data fusion processing system for the off-target amount of the guided bomb semi-physical simulation experiment and the off-target amount of the live bomb flight experiment is characterized by comprising a guided bomb semi-physical simulation system (1), a wooden target plate (2), a data line (3), a camera (4), a remote data line (5), a computer (6) and a calculation software module (7) for the mean value and the variance of the off-target amount;
Connecting a guided bomb semi-physical simulation system (1) with a computer (6) through a data line (3); drawing a cross line at the center of the wooden target plate (2), and standing the wooden target plate (2) on the ground of the air drop test field; erecting a camera (4) right in front of the wooden target plate (2), aligning a lens to the center of the wooden target plate (2), and covering the wooden target plate (2) with a view field; installing a calculation software module (7) of the mean value and the variance of the off-target quantity on a computer (6);
Performing a semi-physical simulation experiment on the guided bomb by using a guided bomb semi-physical simulation system (1), and collecting data of the off-target amount of the guided bomb semi-physical simulation experiment; transmitting the data of the off-target quantity of the semi-physical simulation experiment to a computer (6) through a data line (3);
Taking out 5 guided bombs; installing a dummy fuse on the guided bomb; the aircraft mounts the guided bomb to take off, aims at the center of a cross line of the wooden target plate (2), and puts the guided bomb in; shooting a process of attacking the wooden target plate (2) by using the camera (4), collecting images of the wooden target plate (2), and transmitting the images to the computer (6) through the remote data line (5);
receiving an image of a wood target plate (2) on a computer (6), intercepting a picture of a guided bomb hitting the wood target plate (2), measuring the distance from the picture to the center of a cross-shaped line according to the center of a guided bomb hole left on the picture, and obtaining the actual distance from the center of each guided bomb hole to the center of the cross-shaped line after calibration conversion, wherein the actual distance is recorded as data of the miss distance of a live-action flying test;
Completing a live-action flight test of 5 guided bombs;
The method comprises the steps that data of the off-target amount of a semi-physical simulation experiment and data of the off-target amount of a live-action flight experiment are imported into a calculation software module (7) of the mean value and the variance of the off-target amount on a computer (6), and the mean value and the variance of the off-target amount are calculated;
A calculation step and method of a calculation software module (7) comprising means and variances of off-target amounts:
(a) Setting the data of the off-target quantity of the semi-physical simulation experiment into a sequence Data of off-target amount in live-action flight test was set as sequence/>
(B) Calculation of,/>Wherein:,/>,/>
(c) Calculating the estimated value of PSR and recording as credibility Wherein: Is a normal distribution probability value;
(d) Calculation of ,/>,/>,/>
Likewise, calculateConstructing a fusion profile
(E) And (3) calculating: wherein: ,/>,/>,/>,/>,/>,/>,/>,/>
(f) According to posterior fusion distribution Calculating a mean value of off-target amount: /(I); Calculating variance of off-target amount: /(I); Wherein: /(I)、/>See (III),/>
CN202211712258.5A 2022-12-07 2022-12-07 Data fusion processing system for pilot bomb semi-physical simulation experiment miss distance and real bomb flight experiment miss distance Active CN117033883B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2439462C1 (en) * 2010-11-11 2012-01-10 Михаил Витальевич Головань Method of precision weapons control
CN108008642A (en) * 2017-11-29 2018-05-08 北京航空航天大学 A kind of missile brain Hardware In The Loop Simulation Method
CN109099802A (en) * 2018-03-27 2018-12-28 中国人民解放军陆军工程大学 Anti-interference test method for missile guidance control system and terminal equipment
CN109900157A (en) * 2019-02-22 2019-06-18 中国人民解放军海军工程大学 Guided munition Terminal Guidance Laws semi-physical emulation platform and method
RU2695496C1 (en) * 2018-03-26 2019-07-23 Федеральное государственное казенное военное образовательное учреждение высшего образования "Военный учебно-научный центр Военно-воздушных сил "Военно-воздушная академия имени профессора Н.Е. Жуковского и Ю.А. Гагарина" (г. Воронеж) Министерства обороны Российской Федерации Method and complex for estimating, on a semi-realistic model of efficiency of radio suppression of a radar homing head of a guided missile
CN112698580A (en) * 2020-12-15 2021-04-23 北京航天飞腾装备技术有限责任公司 Semi-physical simulation system and method suitable for infrared accurate guidance bomb

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2439462C1 (en) * 2010-11-11 2012-01-10 Михаил Витальевич Головань Method of precision weapons control
CN108008642A (en) * 2017-11-29 2018-05-08 北京航空航天大学 A kind of missile brain Hardware In The Loop Simulation Method
RU2695496C1 (en) * 2018-03-26 2019-07-23 Федеральное государственное казенное военное образовательное учреждение высшего образования "Военный учебно-научный центр Военно-воздушных сил "Военно-воздушная академия имени профессора Н.Е. Жуковского и Ю.А. Гагарина" (г. Воронеж) Министерства обороны Российской Федерации Method and complex for estimating, on a semi-realistic model of efficiency of radio suppression of a radar homing head of a guided missile
CN109099802A (en) * 2018-03-27 2018-12-28 中国人民解放军陆军工程大学 Anti-interference test method for missile guidance control system and terminal equipment
CN109900157A (en) * 2019-02-22 2019-06-18 中国人民解放军海军工程大学 Guided munition Terminal Guidance Laws semi-physical emulation platform and method
CN112698580A (en) * 2020-12-15 2021-04-23 北京航天飞腾装备技术有限责任公司 Semi-physical simulation system and method suitable for infrared accurate guidance bomb

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Prediction method on the impact point of the cluster bomb based on off-line simulation;Hongwu Guo等;《IEEE》;20160118;全文 *
制导炸弹半实物仿真***误差对仿真结果的影响;张培忠等;《弹道学报 》;20190315;全文 *
激光制导炸弹半实物仿真模型与应用;张培忠;王树恩;冯田;宁金贵;陈国利;;南京理工大学学报;20190508(02);全文 *
空空和空地导弹命中精度整体推断方法;***;刘登第;王丽滨;林逢春;陈建伟;刘新爱;;科技导报;20080313(05);全文 *

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