CN114942460A - Inter-aiming drop point detection method - Google Patents

Abstract

The invention discloses a detection method of an indirect sight landing point, which comprises the following steps: step one, arranging an instrument; step two, collecting drop points; step three, data calling; step four, generating a model; step five, detecting a drop point; in the first step, the acquisition terminal is arranged in a preset area of the inter-aiming target point, a plurality of induction points are selected in the induction area of the acquisition terminal at corresponding intervals according to the precision requirement of inter-aiming point detection, and then the semiconductor pressure sensor, the positioner and the wireless communicator are installed on each induction point and are numbered and recorded in sequence; the method utilizes a Fisher discrimination classification algorithm, a inhaul cable regression algorithm, a classification regression decision tree algorithm and a big data technology, and constructs a detection model of the drop point of the shell of the indirect aiming weapon through an evaluation index and cost complexity pruning method, and the method does not need to be operated by personnel after the instruments are arranged, so that the method has the advantages of high intelligent degree, high detection efficiency, high precision and low labor cost.

Description

A kind of indirect aiming point detection method

technical field

The invention relates to the technical field of indirect aiming drop point detection, in particular to an indirect aiming drop point detection method.

Background technique

The characteristics of indirect aiming weapons are curved trajectory and long range. The indirect aiming method is used to aim at the target without seeing the target. As long as you know the direction and position of the opponent, you can fire. It can cross some terrain obstacles, such as hills, etc., and the parabolic trajectory can be obtained. Longer range, suitable for attacking distant targets. At present, in the process of military combat simulation training, indirect weapons are generally used for shooting training, and by detecting the landing error of indirect weapons and shells, the training personnel can improve their operation level of indirect weapons.

However, the conventional indirect sighting landing point detection method has a low degree of intelligence. The landing point error of indirect sighting weapons and shells is detected by personnel operating the instrument, which has low detection efficiency, poor accuracy, high labor cost, and the layout of detection instruments is difficult, and it is necessary to plan the location. It is time-consuming and labor-intensive, and the layout cost is high. At the same time, only the GPS positioning system is used. The transmission of satellite communication signals is greatly affected by the atmosphere, satellite ephemeris and satellite species difference. The positioning accuracy is low and the error is large, which reduces the detection of indirect aiming points accuracy.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide an indirect aiming point detection method to solve the above-mentioned problems in the background art.

In order to achieve the above purpose, the present invention provides the following technical solutions: a method for detecting the landing point of indirect aiming, comprising the following steps: step 1, instrument arrangement; step 2, landing point collection; step 3, data calling; step 4, model generation; Step 5, drop point detection;

In the above-mentioned step 1, the acquisition terminal is arranged in a predetermined area of the target point of the indirect sight, and according to the accuracy requirements of the detection of the indirect sight point, a number of sensing points are selected in the sensing area of the acquisition terminal at the corresponding interval, and then Install the semiconductor pressure sensor, positioner and wireless communicator to each sensing point, and record them in sequence;

In the above step 2, the indirect aiming weapon shoots at the target point, the shell bombards the sensing area of the acquisition terminal, and forms a spherical shock wave at several sensing points, and then collects the indirect aiming at each sensing point through the semiconductor pressure sensor The fire shock potential energy of the weapon is obtained, and the peak value of the shock potential energy is obtained, and the point position, trigger time and point number of each sensing point are sent to the 3D detection PTZ through the locator and wireless communication device;

In the above step 3, a large amount of projectile characteristic data is imported from the indirect weapon projectile database through the data calling module, and a large amount of impact wave field characteristic data is imported from the crater shock wave field database, and then the projectile characteristic data and impact point The shock wave field characteristic data is used as the original data of the model and divided into training set data and test set data;

In the above-mentioned step 4, through the model building module, the Fisher discriminant classification algorithm, the Lasso regression algorithm and the classification regression decision tree algorithm are used to build the training set data into an indirect landing point analysis model, and then the test set is passed through the model optimization module. The data is input into the indirect aiming point analysis model, and the evaluation index is used to evaluate the quality of the projectile characteristic data and the impact wave field characteristic data of the indirect aiming point analysis model. The branch method is used to optimize the detection model of the projectile landing point of the indirect aiming weapon;

In the above-mentioned step 5, the three-dimensional detection pan/tilt input the point position, trigger time and point number of each sensing point into the drop point detection model of the indirect weapon shell through the drop point detection module, according to the point information and trigger time Convert the wave speed of the spherical shock wave to obtain the firepower level of the indirect weapon projectile, and then convert the range and center of the spherical shock wave according to the magnitude of the impact potential energy peak of each sensing point and the sequence of the point number, and obtain the damage energy efficiency and duration of the indirect weapon. Aim at the crater position of the landing point, and then measure the distance between the crater position of the indirect aiming point and the target point of the indirect aiming point, and obtain the landing point error of the indirect aiming weapon shell.

Preferably, in the first step, the semiconductor pressure sensor is a miniature high-precision semiconductor pressure sensor.

Preferably, in the first step, the locator selects a GPS locator and an RTK locator with centimeter-level precision.

Preferably, in the first step, the semiconductor pressure sensor, the locator and the wireless communicator installed on the same sensing point all use the same number.

Preferably, in the second step, the indirect aiming weapon is an indirect aiming weapon for military combat simulation training.

Preferably, in the third step, the training set data and the test set data respectively account for 70% and 30% of the original data.

Compared with the prior art, the beneficial effects of the present invention are as follows: the indirect aiming point detection method utilizes Fisher discriminant classification algorithm, cable regression algorithm, classification and regression decision tree algorithm and big data technology, and through the evaluation index and complex cost. The pruning method is used to construct the detection model of indirect aiming weapons and shells. No personnel operation is required after the instrument is arranged. The degree of intelligence is high, the detection efficiency is fast, the precision is high, and the labor cost is low; the detection instrument is convenient and can be arranged arbitrarily without planning. Size, time-saving and labor-saving, and low cost of layout; RTK positioning is added on the basis of GPS positioning, and phase difference processing is performed on the carrier of satellite communication signals, which has high positioning accuracy and small error, which improves the accuracy of indirect aiming detection.

Description of drawings

Fig. 1 is the system structure diagram of the present invention;

Fig. 2 is the arrangement structure diagram of sensing points in the present invention;

Fig. 3 is the system flow chart of the present invention;

FIG. 4 is a flow chart of the method of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Please refer to FIGS. 1-4 , an embodiment provided by the present invention: a method for detecting landing points of indirect aiming, including the following steps: step 1, instrument arrangement; step 2, landing point collection; step 3, data calling; step 4 , model generation; step 5, drop point detection;

In the above-mentioned step 1, the acquisition terminal is arranged in a predetermined area of the target point of the indirect sight, and according to the accuracy requirements of the detection of the indirect sight point, a number of sensing points are selected in the sensing area of the acquisition terminal at the corresponding interval, and then Install miniature high-precision semiconductor pressure sensors, centimeter-level precision GPS locators, RTK locators, and wireless communicators to each sensing point, and record them in sequence. The semiconductor pressure sensors installed on the same sensing point, Both the locator and the wireless communicator use the same number;

In the above-mentioned step 2, the military combat simulation training uses indirect aiming weapons to shoot at the target point, the shell bombards the sensing area of the acquisition terminal, and forms a spherical shock wave at several sensing points, and then collects each sensing point through the semiconductor pressure sensor. Aim at the fire impact potential energy of the weapon on the point, obtain the peak value of the impact potential energy, and send the point position, trigger time and point number of each sensing point to the 3D detection PTZ through the locator and wireless communicator;

In the above step 3, a large amount of projectile characteristic data is imported from the indirect weapon projectile database through the data calling module, and a large amount of impact wave field characteristic data is imported from the crater shock wave field database, and then the projectile characteristic data and impact point The shock wave field characteristic data is used as the original data of the model, and is divided into training set data and test set data, and the training set data and test set data account for 70% and 30% of the original data respectively;

In the above-mentioned step 4, through the model building module, the Fisher discriminant classification algorithm, the Lasso regression algorithm and the classification regression decision tree algorithm are used to build the training set data into an indirect landing point analysis model, and then the test set is passed through the model optimization module. The data is input into the indirect aiming point analysis model, and the evaluation index is used to evaluate the quality of the projectile characteristic data and the impact wave field characteristic data of the indirect aiming point analysis model. The branch method is used to optimize the detection model of the projectile landing point of the indirect aiming weapon;

In the above-mentioned step 5, the three-dimensional detection pan/tilt input the point position, trigger time and point number of each sensing point into the drop point detection model of the indirect weapon shell through the drop point detection module, according to the point information and trigger time Convert the wave speed of the spherical shock wave to obtain the firepower level of the indirect weapon projectile, and then convert the range and center of the spherical shock wave according to the magnitude of the impact potential energy peak of each sensing point and the sequence of the point number, and obtain the damage energy efficiency and duration of the indirect weapon. Aim at the crater position of the landing point, and then measure the distance between the crater position of the indirect aiming point and the target point of the indirect aiming point, and obtain the landing point error of the indirect aiming weapon shell.

Based on the above, the present invention has the advantages of using Fisher discriminant classification algorithm, Lasso regression algorithm, classification and regression decision tree algorithm and big data technology, and through evaluation index and cost complexity pruning method, to construct indirect aiming weapon shell drop points Detection model, no human operation is required after the instrument is arranged, the degree of intelligence is high, the detection efficiency is fast, the precision is high, the labor cost is low, and the arrangement of the detection instrument is convenient, which can be arranged arbitrarily without planning the size, saving time and labor, and low cost of layout. On the basis of GPS positioning, RTK positioning is added, and the phase difference processing is performed on the carrier of the satellite communication signal. The positioning accuracy is high and the error is small, which improves the accuracy of the indirect aiming point detection.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and scope of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

Claims (6)

1. A cross-sight landing point detection method comprises the following steps: step one, arranging an instrument; step two, collecting drop points; step three, data calling; step four, generating a model; step five, detecting a drop point; the method is characterized in that:

in the first step, the acquisition terminal is arranged in a preset area of the inter-aiming target point, a plurality of induction points are selected in the induction area of the acquisition terminal at corresponding intervals according to the precision requirement of inter-aiming point detection, and then the semiconductor pressure sensor, the positioner and the wireless communicator are installed on each induction point and are numbered and recorded in sequence;

in the second step, the intermediate aiming weapon shoots a target point, the shell bombards an induction area of the acquisition terminal to form a spherical shock wave at a plurality of induction points, the firepower impact potential energy of the intermediate aiming weapon at each induction point is acquired through a semiconductor pressure sensor to obtain an impact potential energy peak value, and the point position, the trigger time and the point position number of each induction point are sent to the three-dimensional detection holder through a positioner and a wireless communicator;

in the third step, a large amount of cannonball characteristic data is imported from a cannonball database of a cross-sight weapon through a data calling module, a large amount of drop point shock wave field characteristic data is imported from a crater shock wave field database, the cannonball characteristic data and the drop point shock wave field characteristic data are used as original data of a model, and the original data are divided into training set data and test set data;

in the fourth step, training set data are constructed into a cross-hair drop point analysis model through a model construction module by utilizing a Fisher discrimination classification algorithm, a inhaul cable regression algorithm and a classification regression decision tree algorithm, test set data are input into the cross-hair drop point analysis model through a model optimization module, the quality of a cross-hair drop point detection result of the cross-hair weapon shell characteristic data and drop point impact wave field characteristic data by the cross-hair drop point analysis model is evaluated through evaluation indexes, and a cross-hair weapon shell drop point detection model is preferably selected through a cost complexity pruning method;

in the fifth step, the three-dimensional detection cradle head inputs the point location, the trigger time and the point location number of each induction point location into the inter-aiming weapon projectile point detection model through the point location detection module, converts the wave velocity of spherical shock waves according to the point location information and the trigger time to obtain the fire power grade of the inter-aiming weapon projectile, converts the range and the center of the spherical shock waves according to the size of the impact potential energy peak value of each induction point location and the sequence of the point location numbers to obtain the damage energy efficiency of the inter-aiming weapon and the crater position of the inter-aiming point, and further measures the distance between the crater position of the inter-aiming point and an inter-aiming target point to obtain the error of the drop point of the inter-aiming weapon projectile.

2. The inter-target landing point detection method according to claim 1, wherein: in the first step, the semiconductor pressure sensor is a miniature high-precision semiconductor pressure sensor.

3. The inter-sight landing point detection method according to claim 1, wherein: in the first step, the positioner selects a centimeter-level precision GPS positioner and an RTK positioner.

4. The inter-target landing point detection method according to claim 1, wherein: in the first step, the semiconductor pressure sensor, the positioner and the wireless communicator which are arranged on the same sensing point position all use the same serial number.

5. The inter-sight landing point detection method according to claim 1, wherein: and in the second step, the intermediate aiming weapon is used for military combat simulation training.

6. The inter-target landing point detection method according to claim 1, wherein: in the third step, the training set data and the test set data respectively account for 70% and 30% of the original data.

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