KR101608397B1 - Method for analyzing probability of impact point using probable error - Google Patents

Abstract

The present invention relates to a method of analyzing a probability of collision using a crosstalk error, which calculates a probability of collision using a crosstalk error table and structurizes a collision probability table for the trajectory with zone information, Can be simulated.

Description

METHOD FOR ANALYZING PROBABILITY OF IMPACT POINT USING PROBABLE ERROR [0002]

The present invention relates to a method of analyzing a probability of collision using a covariance error. More particularly, the present invention relates to a method of analyzing a probability of collision using a covariance error, And a method of analyzing such a prediction method.

Generally, a projecting object to aim at a curved line is called a 'curved projection'. The principle of such a projection can be used in a cannon, water cannon, pitching machine and the like, and at the time of the performance, the speed and angle at which the object is fired determine whether the object is hit accurately on the target aimed at.

However, when an object reaches the target, there are many unstable factors. Therefore, there is a possibility that there is an error between the point where the object reaches (ie, the impact point) and the target point to be. At this time, an out-of-target impact causes inefficiency in re-targeting the target. Thus, it is possible to stochastically calculate one or more impact points formed by one or more warped objects and visualize them visually (e.g., darkening or bright shading the area where the impact point is formed on the map, depending on the accuracy) , An area having a high accuracy rate can be predicted in advance, and optimum operation can be made according to the nature or form of the target.

On the other hand, the concept of a constant error (probability error) is often used in representing the accuracy or accuracy of an object reaching a target.

Cone error refers to the probability that the frequency at which the impact point will exceed a certain limit based on the center of attraction (target) is equal to the frequency at which it will not exceed the limit. Referring to FIG. 1, the hit rate (hit frequency) due to the crosstalk error is shown in table form 100. Four quadrants are shown on the basis of the range and the convenience, and each quadrant is again divided into four regions with respect to the slope and the direction of the sides. Each individual area represents the probability that an object being inspected will hit the area using the center point as a target, that is, the probability of collision. The closer the distance is from the center point (the point where the intersection axis intersects with the side axis), the higher the probability of collision. The farther from the center the collision probability is. For example, the probability of an object hitting the first region 110 is 1.12% (i.e., one hit is possible per 90 attempts), and the probability that an object hits the second region 120 is 4% , The probability that an object hits the third region 130 is 25% (that is, it is possible to hit once in four times).

In this regard, many devices and methods have been proposed to reduce the erroneous placement.

For example, Korean Patent Laid-Open Publication No. 2013-0087307 discloses a method for modifying the ballistics of a shell. The method of modifying the ballistics of the cannon has a method of modifying the balloon by controlling the canard wing mounted on the nose portion of the cannula so that an object pointing to the target can be accurately hit on a desired target with a parabolic flight path . Korean Patent Laid-Open Publication No. 2002-0079041 discloses a method of automatically adjusting a camera installed so as to obtain data of each target site in accordance with whether the target cross-shaped display changes or not.

However, these prior art techniques for reducing the erroneous positioning may be disadvantageous in terms of cost and efficiency, because there is a need for a separate control device for correcting the path of the object to be launched, There is a problem that it is difficult to forecast in advance.

Further, if the object to be engraved includes various launch points that are different from each other as shown in FIG. 2 and the number of objects to be inspected is more than one, the control for hitting a plurality of objects on each target or a wide area target can be individually There is a problem that integrated management and prediction are difficult.

The present invention solves the above-mentioned problem, and it is an object of the present invention to calculate the probability of collision using a conjugate error, to structure the probability of collision for each of the objects when there is more than one collided object as zone information, The purpose is to make it possible.

In order to accomplish the foregoing, a method for analyzing a probability of collision using a communal error according to the present invention includes: setting at least one piece of trial information, loading at least one piece of piece of information related to one or more pieces of trial information in a database, And generating one or more scatter error probability tables based on the one or more pieces of information, generating one or more scatter error probability tables using one or more scatter error probability tables, Step < / RTI >

Each of the one or more scatter error probability tables according to an embodiment of the present invention may be associated with each piece of the trial information.

The one or more pieces of information may include caliber information and charge information, and the step of loading one or more pieces of specification information associated with one or more pieces of the piece of information may include determining whether the piece of caliber information is included in the database And confirming whether charging information is included in the database.

The at least one task information according to an exemplary embodiment of the present invention may include the range information, and the step of generating at least one of the at least one cluster error probability table may include generating a first error probability table including a first range including a range Extracting from the database a second auxiliary source having a range larger than the range of the auxiliary information included in the auxiliary information and each of the pieces of the shooting information by using the first auxiliary source and the second auxiliary source, And generating a probability error probability table for each piece of trial information using the calculated probability error.

The step of generating one or more scatter error probability tables according to an embodiment of the present invention may further include calculating an elevation angle of each piece of the bulletin information using the first and second adjunct sources, The conjugate error on the range information may include a range error and a conjugate error.

The step of generating an impact probability table using at least one of the at least one scatter error probability table according to an embodiment of the present invention includes the steps of checking whether an existing impact probability table exists, Determining whether there is a difference between the range of the impact probability table and the slip distance information included in each piece of the pilot information, if there is the difference, deleting the existing spot probability table and preparing a new spot probability table, And applying the algorithm to each of the probability error probability tables and adding the probability to the existing probability table or probability.

The step of structuring at least one piece of trial information and the probability of occurrence table as zone information according to an embodiment of the present invention may include associating one or more pieces of trial information with a probability of occurrence table, Comparing the information included in the existing zone information list with the new zone information to check if intersection zone information exists; and if the existing zone information list entry exists, And adding the new zone information to the existing zone information list when cross zone information exists.

The method of analyzing the probability of collision according to the present invention has an effect of predicting the accuracy of an object through calculation of the collision error by calculating the collision probability using the joint error.

The method of analyzing the probability of collision according to the present invention has the effect of visually confirming the information about the probability of collision by structuring the collision probability as zone information.

The method of analyzing the probability of collision using the communal error according to the present invention can reduce the cost because the simulation can be performed only by calculation using a simple algorithm without requiring a separate control device for improving the accuracy.

Fig. 1 shows a table showing the accuracy rate due to the crosstalk error.
Figure 2 shows, as a table, the percentage of accidents due to each of the conjugate errors for one or more objects traversed at one or more different launch points.
FIG. 3 shows a flowchart of a simulation for a collision probability analysis according to an embodiment of the present invention.
Figure 4 illustrates an exemplary window for setting one or more pieces of presentation information in accordance with an embodiment of the present invention.
FIG. 5 is a flowchart illustrating a process for generating a probability error table and a probability table according to an embodiment of the present invention.
FIG. 6 shows a detailed flowchart for generating a probability error probability table according to an embodiment of the present invention.
FIG. 7 shows a detailed flowchart for generating a collision probability table according to an embodiment of the present invention.
FIG. 8 is a flowchart illustrating the structure of the zone probability table for at least one piece of the piece of information according to an embodiment of the present invention.
9 illustrates an exemplary distribution diagram associated with one or more launch coordinates in accordance with an embodiment of the present invention.
FIG. 10 shows an exemplary result of simulating a collision probability analysis using a common error according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Like reference numerals are used for like elements in describing each drawing. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention.

The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like or corresponding elements are denoted by the same reference numerals, and a duplicate description thereof will be omitted.

Referring to FIG. 1, the accuracy rate due to the common error is shown in the form of table 100. The axis in the vertical direction corresponds to the range, and the axis in the horizontal direction corresponds to the convenience. Typically, if an object is traversed at a single launch point, the object can be aimed at a point at which the intersection and the intersection intersect as a target point, in which case a scattering error occurs for the slope and the convenience from the target point. Since the collision error does not necessarily guarantee that the impact point coincides with the target point, the probability that an impact point is formed is higher at a position closer to the target point. Thus, when a single object is drawn, .

As shown in FIG. 2, unlike a case where a single object is drawn, one or more objects may be drawn at different positions, and a target having a shape of a large area may have a shape of a wide area. This will be described with reference to FIG. Referring to FIG. 2, the accuracy rate due to the common error is shown as one or more types of tables 200, wherein the one or more tables may have different sizes of the respective areas, and the areas may overlap each other . The reason why the sizes of the areas of the respective tables are different is that the distances between the firing coordinates and the target coordinates, that is, the slopes are mutually different, and the areas of the respective tables are completely matched and do not overlap, . At this time, if the areas of the respective tables are overlapped, the accuracy is increased due to the accumulation of the probability of collision, resulting in the formation of the new effective shot area 210. That is, when one or more objects are drawn at different positions from each other, the shape or size of the effective shot area 210 may be changed depending on how each target coordinate is set.

If the effective shot area 210 can be predicted in advance, optimal operation may be possible depending on the nature or shape of the target. However, in order to calculate the effective shot area 210, it is necessary to calculate the effective shot area 210 in consideration of each piece of trial information, that is, the launch coordinates, the target coordinates, the launch form (for example, caliber, charge form), the number of launch objects, Range, launch azimuth, and so on. Hereinafter, a method of analyzing the collision probability based on the formation of the effective collision area will be described in detail.

Referring to FIG. 3, there is shown a flowchart (300) of simulation for a collision probability analysis according to an embodiment of the present invention.

Referring to FIG. 3, one or more pieces of artist information can be set (step S320). The one or more pieces of information may include known launch coordinates, target coordinates, caliber, charge, range, launch azimuth, etc., which may be stored in one or more sets in the form of a set. After one or more pieces of the artist information are set, a cluster error probability table and an occurrence probability table associated with each piece of the artist information may be generated and structured into zone information (step S330). At this time, the probability of the random error is calculated based on the set task information and the specification information included in the database, and is generated as a joint error probability table. The generation of the random error probability table will be described in more detail with reference to FIGS. 5 and 6. FIG. The collision probability table is generated based on one or more pieces of trial information and one or more generated probability error probability tables, and will be described in more detail with reference to FIGS. 5 and 7 in this regard. Further, the structuring into the zone information will be described in more detail with reference to FIG. When structuring is made with the zone information, the simulation result can be visually displayed (step S340). For example, a part of a spot where a collision is expected with darkness or light shade Lt; / RTI >

4, there is shown an exemplary window for setting one or more pieces of information in accordance with an embodiment of the present invention. As shown in FIG. 4, one or more pieces of the plot information may include a user name, latitude and longitude of firing coordinates, latitude and longitude of target coordinates, caliber, charging method, firing method, range, azimuth angle, elevation angle, .

Referring to FIG. 5, a flowchart 500 for generating a probability error probability table and a probability error probability table according to an embodiment of the present invention is shown.

With one or more pieces of play information being set, one or more pieces of play information associated with the set one or more pieces of play information may be loaded in the database (step S520). The specification information is associated with each piece of the piece of information, and may have a numerical index indicating the performance and characteristics of, for example, dimensions, weight, and the like. After that, the created trial information is subjected to the structuring process (step S530), and the set trial information can be used. One or more pieces of information may be compared with one or more pieces of information loaded in the database to determine whether they correspond to available information. For example, it is possible to check whether caliber information included in the trial information is included in the database (step S540), and to check whether the charge information included in the trial information is included in the database (step S550). If the caliber information and the charge information included in the trial information are included in the database, it can be determined that the corresponding trial information is available. Based on the set one or more pieces of the trial information and the one or more pieces of information loaded from the database A random error probability table can be generated (step S560). Thereafter, the probability of occurrence table can be generated based on the generated respective probability error tables (step S570), and the generated probability of occurrence table and the task information can be structured and stored (step S580). As described above, the shared error probability table and the collision probability table can be generated using the specification information included in the database, and the information on the created collision probability table can be easily managed by structuring the zone probability information. The above-mentioned steps S560, S570 and S580 will be described in more detail below.

Referring to FIG. 6, a detailed flowchart 600 for generating a random error probability table according to an embodiment of the present invention is shown.

Each of the one or more pieces of the settled information set may include the range information. The range information represents the distance from the firing coordinates to the target coordinates. Distance information can be extracted from the plot information (step S620). The slip distance information extracted from the pilot information is used as a basis for generating the probability error probability table together with the specification information. Specifically, it is possible to calculate the crosstalk error by comparing with and analyzing the slip distance included in the supplementary source.

To this end, the first and second supplementary sources can be extracted from the database or the specification information extracted from the database (step S630). In this case, the first supplementary source includes a range smaller than the range information included in each piece of the performance information, and the second supplementary source includes a range larger than the range information included in each piece of the performance information. The first source of supplements may be the minimum adjuvant source, and the second source of supplements may be the largest adjunct source. That is, the relationship between the first auxiliary agent source, the second auxiliary agent source, and the range information included in the set piece information is the same as the 'range of the first auxiliary agent?

Based on the extracted first and second supplementary sources, the joint error of the range information included in each piece of the trial information can be calculated (S640). The crossover error for slip distance information may include the slope distance (back and forth) and the bias (right and left) errors. In addition, the extracted first and second supplementary sources may be the basis of the elevation angle calculation for the range information as well as the common error for the range information. The detailed procedure for calculating the elevation angle and the conjugate error (slope distance, convenience) for the slip distance information included in the shooting information set using the first and second auxiliary sources is as follows.

Second supplementary source _distance - First supplementary source _distance = α

Second aid source _elevation - first aid source _elevation = β

Second aid One common _{error (range)} - First aid One common _{error (range)} = γ

Second aid One common _{error (convenience)} - First aid One common _{error (convenience)} = δ

(β × distance weight) ÷ α = high angle weight

(γ × weight range) ÷ α = error likelihood _intersection weight

(δ × weight range) ÷ α = error likelihood _convenience weight

(Intersection information - first supplementary source _distance ) ÷ distance range weight = supplementary circle weight

First aid source _elevation + (high angle weight x adjuvant source weight) = elevation angle

First supplementary source _distance + (Gross error _distance weighting × supplementary resource weight) = Gross error _gap

First circle _convenience adjuvant + (weight _convenience likelihood error × auxiliary circle weight) = likelihood error _convenience

After calculating the crosstalk information for the slip distance information, the crosstalk error probability table for each piece of the task information can be generated through the calculated crosstalk error (slip distance crosstalk error and convenience crosstalk error) (S650). Basic likelihood error probability table 4 in each of the quadrants because it is both in this range and the convenience direction divided into four equal parts likelihood error probability table likelihood error _range as shown in the following equation and the likelihood error _convenience as shown in Figure 1 . ≪ / RTI >

Crossover error _range × 4 = Width of probability error table

Likelihood error _convenience × 4 = high likelihood of error probability table

Referring to FIG. 7, a detailed flowchart 700 for generating an impact probability table according to an embodiment of the present invention is shown.

When one or more objects are traversed at mutually different positions, the shape or size of the effective shot area 210 may be changed depending on how each target coordinate is set. In this case, since each of the probability error probability tables may be different in size from each other and the regions may overlap each other, a calculation process of accumulating the probability of collision considering the sizes of the tables and the regions of the overlapping tables May be required. Accordingly, it is necessary to prepare a cluster error probability table associated with each piece of the trial information in order to create the probability of occurrence table (step S720). Thereafter, it is possible to check whether there is an existing collision probability table through the list of collision probability tables (step S730), and if there is no existing collision probability table, a new collision probability table can be generated (step S770) . However, if it is ascertained that the existing spot probability table exists, it is possible to check whether the slip distance of the existing spot probability table is different from the slip distance included in the set pilot information (step S740). If the range of the existing probability table is not different from the range included in the set performance information, the existing probability table may be loaded (step S780). However, if there is a difference from the range included in the trial information for which the range of the existing probability table is set, the existing probability table may be deleted (step S750). Thereafter, probability information is calculated in the collision probability table (step S760). In calculating the probability information on the collision probability table, a method of additionally adding probability information to new and existing collision probability tables can be used. Specifically, each value of the probability-error-probability table can be calculated by an algorithm described below and added to the impact probability table.

MAX (width of the probability error table, height of the probability error table) × 2

= ρ ... ... Size of the probability of occurrence table

Proceed according to the values I and J below.

(I ...... 0 - height of the basic error table)

(J ...... 0 - width of the basic error table)

…… 공산오차 값

... ... Convergence error value

…… 빗변

... ... Hypotenuse

…… 사격 방위 가중치

... ... Shooting Defense Weights

As shown in Fig. 9, coordinates (X-axis moving distance from the center, Y-axis moving distance from the center) are set on the basis of the center coordinates (0, 0) as the respective firing positions.

(Upper left X-coordinate of the distribution chart x -1) + X-axis movement distance from the center + (ρ ÷ 2.0) - 1 = FesX ... ... Actual X coordinate of the probability of occurrence table

Y coordinate of the top left corner of the distribution chart - Y axis travel distance from each center + (ρ ÷ 2.0) - 1 = FesY ... ... Actual Y coordinate of the probability of occurrence table

Round (β × Cos (each direction × π ÷ 180) + γ = FesX _direction ① ... 1, 3 quadrant X coordinate for applying the bearing to the FesX coordinate

Round (β × Sin (each direction × π ÷ 180) + γ = FesY _direction ① ... 1, 3 quadrant Y coordinate for applying the bearing to the FesY coordinate

Round ([beta] x Cos ((each direction - (each direction x 2)) x pi / 180) + y) = FesX _{orientation [} ... 2, 4 Quadrant X coordinate to apply bearing to FesX coordinates

Round (? 占 Sin ((each direction - (each direction 占 2) 占 ?? 180) +? = FesY _orientation ? ... 2, 4 quadrant FesY Y coordinate for applying orientation to the coordinates

(* Round function rounds to the first decimal point)

1 quadrant

FesX + FesX _bearing ① = 1 quadrant X coordinate

FesY + FesY _orientation ① = 1 quadrant Y coordinate

The probability of occurrence table [1 quadrant Y coordinate] [1 quadrant X coordinate] + α = Arrival probability table [1 quadrant Y coordinate] [1 quadrant X coordinate]

3 quadrants

FesX - FesX _bearing ① + 1 = X coordinate of quadrant 3

FesY - FesY _orientation ① + 1 = Y coordinate of quadrant 3

[3 quadrant Y coordinate] [3 quadrant X coordinate] + α = incidence probability table [3 quadrant Y coordinate] [3 quadrant X coordinate]

2 quadrants

FesX - FesX _bearing ② + 1 = X coordinate of quadrant 2

FesY + FesY _orientation ② = Y coordinate in quadrant 2

[2] Quadrant Y coordinate [2 quadrant X coordinate] + α = Arrival probability table [2nd quadrant Y coordinate] [2nd quadrant X coordinate]

Four quadrants

FesX + FesX _orientation ② = X coordinate of quadrant 4

FesY - FesY _orientation ② + 1 = Y coordinate of quadrant 4

[4th quadrant Y coordinate] [4th quadrant X coordinate] + α = Arrival probability table [4th quadrant Y coordinate] [4th quadrant X coordinate]

The above process is repeatedly performed according to the values I and J.

Referring to FIG. 8, there is illustrated a flowchart 800 of structuring the occlusion probability table for one or more pieces of trial information into zone information according to an embodiment of the present invention.

The task information and the generated collision probability table can be associated with each other (step S820). The collision probability table associated with the trial information may be converted into zone information (step S830). The zone information can be stored in the form of a list, and the new zone information can be maintained in a state in which new zone information can be added to the zone information list by structuring the zone probability table as zone information. Thereafter, it is possible to check whether an existing zone information list item exists (step S840). In step S870, it is checked if the zone information list includes at least one piece of information in the zone information list. Otherwise, the zone information is added to the list in step S870. If there is an existing zone information list item, the information included in the existing zone information list is compared with the new zone information to check whether intersection zone information exists (step S850). If crossed zone information does not exist, new zone information can be added to the zone list (step S870), and if crossed zone information exists, new zone information is added to the existing zone information list (Step S860).

Referring to FIG. 10, there is shown an exemplary result 1000 that simulates a collision probability analysis using a covariance error according to an embodiment of the present invention.

The method of analyzing the probability of collision using the scattering error according to the embodiment of the present invention has the effect of forming a desired effective shot area. As shown in FIG. 10, in the first simulation 1010, the effective collision area is narrow since the estimated collision point is biased, whereas in the second simulation 1020, the expected collision point is uniformly formed, can confirm.

In this way, since the user can structure the probability of collision as zone information and visually predicting it, it is possible to adjust the effective shot area by adjusting various parameters for the trial information only by executing simulation.

The description of the disclosed technique is merely an example for structural or functional explanation and the scope of the disclosed technology should not be construed as being limited by the embodiments described in the text. That is, the embodiments are to be construed as being variously embodied and having various forms, so that the scope of the disclosed technology should be understood to include equivalents capable of realizing technical ideas.

On the contrary, all terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the disclosed technology belongs, unless otherwise defined. Commonly used predefined terms should be interpreted to be consistent with the meanings in the context of the related art and can not be interpreted as having ideal or overly formal meaning unless explicitly defined in the present application.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

Claims (6)

A method for analyzing a collision probability using a computerized error,
Setting at least one artist information;
Loading one or more specification information associated with the one or more pieces of presentation information in a database;
Generating one or more probability error probability tables based on the one or more pieces of performance information and the one or more pieces of specification information, wherein each of the one or more probability error probability tables is associated with each piece of performance information, Creating a table;
Generating an impact probability table using the one or more scatter error probability tables; And
Structuring the at least one task information and the occlusion probability table as zone information,
Each of the pieces of the artist information includes distance information,
Wherein the step of generating the one or more error probability tables comprises:
Extracting from the database a first auxiliary source including a range smaller than the range information included in each piece of the trial information and a second auxiliary source having a range larger than the range information included in each piece of the trial information;
Calculating a conjugate error with respect to the range information included in each piece of the trial information using the first and second supplementary sources; And
And generating a joint error probability table for each piece of the piece of work information using the calculated joint error. The method according to claim 1,
Wherein each of the pieces of the artist information includes caliber information and charge information,
Wherein the loading of the one or more specification information associated with the one or more pieces of publication information in a database comprises:
Confirming whether the caliber information is included in the database; And
And checking whether the charge information is included in the database. delete The method according to claim 1,
Wherein the step of generating the one or more error probability tables comprises:
Further comprising calculating an elevation angle for each piece of the piece of art information using the first auxiliary source and the second auxiliary source,
Wherein the scattering error related to the slip distance information includes a slip distance error and a side scatter error. The method according to claim 1,
Wherein the step of generating the atmospheric probability table using the one or more scatter error probability tables comprises:
Determining whether an existing spot probability table exists;
Determining whether a range of the existing spot probability table is different from a range information included in each of the pieces of the shooting information when an existing spot probability table exists;
If the difference exists, deleting the existing probability of occurrence table and preparing a new probability of occurrence table; And
Applying an algorithm to each of the one or more scatter error probability tables and adding the algorithm to the existing spot probability table or the new spot probability table. The method according to claim 1,
Wherein the structuring of the at least one trial information and the occlusion probability table into zone information comprises:
Associating the at least one task information with the atmospheric probability table;
Converting the atmospheric probability table into zone information;
Confirming whether an existing zone information list item exists;
Comparing the information included in the existing zone information list with the new zone information to check if intersection zone information exists; And
And adding new zone information to the existing zone information list if the intersection zone information is present.

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