CN117408493B - Cooperative method, system and medium for air defense platform integrated in land - Google Patents

Abstract

The application provides a method, a system and a medium for cooperating with an air defense platform to be integrated, which belong to the technical field of air defense platforms, and the method comprises the following steps: determining main indexes of the to-be-land air defense cooperative mode selection according to the importance level of the to-be-land guard target; constructing an air defense platform cooperative mode index value, and performing standardization processing to obtain a cooperative mode standard index value; analyzing and determining a real-time index value of the current incoming aircraft, converting the triangular fuzzy number in the real-time index value of the current incoming aircraft into a desired value by utilizing an FC-OWA operator, and carrying out standardized processing on the desired value to obtain a standard desired value; calculating distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator; selecting an optimal cooperative mode according to the distance difference information; and selecting the cooperative mode of the air defense platform through the FC-IOWAD operator, so that the accuracy of the cooperative mode selection of the air defense platform to be integrated is improved.

Description

A collaborative method, system and medium for integrated air defense platforms in strategic areas

Technical field

The present application relates to the field of coordination of air defense platforms in key areas, and specifically, to a method, system and medium for coordination of integrated air defense platforms in key areas.

Background technique

Integrated air defense in key areas faces multi-batch, all-round, saturated three-dimensional attack threats, and incoming aircraft often have characteristics such as ultra-low altitude, high speed, and strong stealth. At the same time, the detection capabilities of sensors are reduced in complex electromagnetic environments. , severely compressing the depth of air defense. The opportunity for air defense operations is fleeting, so in actual air defense, coordination plans are not randomly or arbitrarily formulated, and multiple relatively fixed coordination modes can be adopted. The coordinated relationship of integrated air defense in key areas is very complex. It is necessary to consider not only the horizontal coordination between multiple key points, but also the vertical coordination between "reef, sea and air", as well as the internal coordination between each platform. Therefore, in the air defense of important areas under informationized conditions, it is of great significance to study multi-platform coordinated air defense.

Collaboration and distribution technology, as a key link in air defense/anti-missile operations, itself is also an NP problem. When establishing a collaborative technology model, a common method is to use metric methods to analyze the distance between indicators and find the indicators related to wartime scenarios. The cooperative pattern with the smallest metric is solved. Commonly used measurement methods include Euclidean distance, Mahalanobis distance, Hausdorff distance, Hamming distance, etc. These measurement methods are easy to implement, but when there are many indicators, the distinction is not high and the flexibility is not strong. In order to solve the problems of highly complex and time-varying uncertainties of integrated air defense in key areas, and in the face of air defense situations in different scenarios, a typical coordination model was designed, and based on the uncertainty of the battlefield environment, collective settlement methods commonly used in the study of multi-attribute decision-making theory were used. Zilai analyzed and selected the coordination mode of the air defense platform, and designed the coordination mode selection process of the integrated air defense platform in the strategic area, which solved the problem of selecting the collaborative mode of the integrated air defense platform in the strategic area for different air attack scenarios. In response to the above problems, effective technical solutions are urgently needed. plan.

Contents of the invention

The purpose of this application is to provide a collaborative method, system and medium for an integrated air defense platform in a strategic location, to select the collaboration mode of the air defense platform through the FC-IOWAD operator, and to improve the accuracy of the collaborative mode selection of an integrated air defense platform in a strategic location.

This application also provides a collaborative method for integrated air defense platforms in key areas, including:

Determine the main indicators for selecting the air defense coordination mode for key areas based on the importance level of the defense targets in key areas;

Construct the collaborative mode index value of the air defense platform and perform standardization processing to obtain the collaborative mode standard index value;

Analyze and determine the current real-time indicator value of the incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the current real-time indicator value of the incoming aircraft into an expected value, and standardize the expected value to obtain the standard expected value;

Calculate the distance difference information between the standard index value and the standard expected value of the collaborative mode based on the IOWA operator;

Select the optimal collaboration mode based on distance difference information.

Optionally, in the key area integrated air defense platform collaboration method described in this application, the main indicators for selecting the key area air defense coordination mode are determined according to the importance level of the defense target of the key area, specifically including:

According to the actual situation of air defense operations in key areas, the importance of defending targets is divided into three levels. The three levels are level one, level two and level three respectively;

Level one includes docks, railways, highways or hospitals; level two includes airports, oil depots and military supplies warehouses; level three includes command posts and positions;

The expected interception probability of a target by different incoming aircraft is called the expected interception probability;

The main indicators for cooperative mode selection are determined based on the threat level and quantity of incoming aircraft, the importance of defending the target and the expected interception probability.

Optionally, in the key area integrated air defense platform collaboration method described in this application, the main indicators for selecting the collaboration mode are determined based on the threat level and quantity of the incoming aircraft, the importance level of the defense target and the expected interception probability, and also include: Based on the flight characteristics of the incoming aircraft, the threat indicators of the incoming aircraft are constructed. The threat indicators of the incoming aircraft include the type of the incoming aircraft, the speed of the incoming aircraft, the altitude of the incoming aircraft, the stealth performance of the incoming aircraft and the heading angle of the incoming aircraft;

Analyze target threat level based on incoming aircraft threat indicators;

The threat level of incoming aircraft is quantified through the target threat level. The level of incoming aircraft includes major threat, relatively large threat and general threat.

Optionally, in the key area integrated air defense platform collaboration method described in this application, the air defense platform collaboration mode index value is constructed and standardized to obtain the collaboration mode standard index value, which specifically includes: setting the collaboration mode to kind, A collaborative model is recorded as , the indicator set of collaborative mode is ; Use the standardized calculation formula to standardize the collaborative mode indicator data to obtain the standard data of the collaborative mode indicator. The standardized calculation formula is: standardized data = , No. The standard data for a collaborative mode indicator is: .

Optionally, in the key area integrated air defense platform collaboration method described in this application, the real-time indicator value of the current incoming aircraft is determined, and the FC-OWA operator is used to convert the triangular fuzzy number in the real-time indicator value of the current incoming aircraft into Expected value, and standardize the expected value to obtain standard expected value, including:

Set the current real-time indicator value of the incoming aircraft , using the FC-OWA operator to The triangular fuzzy numbers in are converted into expected values, and the expected value calculation formula is as follows: ;The formula for normalizing the expected value is as follows: .

Optionally, in the collaborative method of integrated air defense platforms in key areas described in this application, the distance difference information between the standard indicator value of the collaborative mode and the standard expected value is calculated based on the IOWA operator, which also includes:

Obtain the distance difference information, compare the distance difference information with the preset difference information, and obtain the deviation rate;

Determine whether the deviation rate is greater than or equal to a preset deviation rate threshold;

If it is greater than or equal to, then correction information is generated, and the collaborative mode standard index value is adjusted according to the correction information;

If it is less than, the optimal collaboration mode is selected based on the distance difference information.

In the second aspect, this application provides a strategic location integrated air defense platform coordination system. The system includes: a memory and a processor. The memory includes a program for the strategic location integrated air defense platform collaboration method. The critical location integrated air defense platform coordination system is included in the memory. When the program of the air defense platform cooperation method is executed by the processor, the following steps are implemented:

Determine the main indicators for selecting the air defense coordination mode for key areas based on the importance level of the defense targets in key areas;

Construct the collaborative mode index value of the air defense platform and perform standardization processing to obtain the collaborative mode standard index value;

Analyze and determine the current real-time indicator value of the incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the current real-time indicator value of the incoming aircraft into an expected value, and standardize the expected value to obtain the standard expected value;

Calculate the distance difference information between the standard index value and the standard expected value of the collaborative mode based on the IOWA operator;

Select the optimal collaboration mode based on distance difference information.

Optionally, in the key area integrated air defense platform coordination system described in this application, the main indicators for selecting the key area air defense coordination mode are determined according to the importance level of the defense target of the key area, specifically including:

According to the actual situation of air defense operations in key areas, the importance of defending targets is divided into three levels. The three levels are level one, level two and level three respectively;

Level one includes docks, railways, highways or hospitals; level two includes airports, oil depots and military supplies warehouses; level three includes command posts and positions;

According to different incoming aircraft and different combat styles, the expected interception probability of the target is called the expected interception probability;

The main indicators for cooperative mode selection are determined based on the threat level and quantity of incoming aircraft, the importance of defending the target and the expected interception probability.

Optionally, in the key area integrated air defense platform coordination system described in this application, the main indicators for selecting the coordination mode are determined based on the threat level and quantity of the incoming aircraft, the importance level of the defense target and the expected interception probability, and also include:

Based on the flight characteristics of the incoming aircraft, the threat indicators of the incoming aircraft are constructed. The threat indicators of the incoming aircraft include the type of the incoming aircraft, the speed of the incoming aircraft, the altitude of the incoming aircraft, the stealth performance of the incoming aircraft and the heading angle of the incoming aircraft;

Analyze the target threat level based on the incoming aircraft threat indicators; quantify the threat level of the incoming aircraft through the target threat level. The level of the incoming aircraft includes major threats, major threats and general threats.

In a third aspect, the present application also provides a computer-readable storage medium. The computer-readable storage medium includes a coordinated method program for an integrated air defense platform at a strategic location. The coordinated method program for an integrated air defense platform at a strategic location is processed by a processor. When executed, the steps of the key area integrated air defense platform coordination method as described in any of the above items are realized.

It can be seen from the above that the method, system and medium for collaboration of an integrated air defense platform in a strategic location provided by this application determine the main indicators for the selection of the collaborative mode of air defense in the strategic location through the importance level of the defense target in the strategic location; construct the index value of the collaborative mode of the air defense platform , and carry out standardization processing to obtain the standard indicator value of the collaborative mode; analyze and determine the real-time indicator value of the current incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the real-time indicator value of the current incoming aircraft into an expected value, and perform the expected value Standardize the process to obtain the standard expected value; calculate the distance difference information between the standard indicator value and the standard expected value of the collaboration mode based on the IOWA operator; select the optimal collaboration mode based on the distance difference information; select the air defense platform collaboration mode through the FC-IOWAD operator to improve Accuracy in the selection of coordination modes for integrated air defense platforms in strategic locations.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, therefore This should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of the key area integrated air defense platform collaboration method provided by the embodiment of the present application;

Figure 2 is a flow chart of main indicators for selecting a collaboration mode for the collaborative method of integrated air defense platforms in key areas provided by the embodiment of the present application;

Figure 3 is a flow chart of target threat level analysis of the key area integrated air defense platform collaboration method provided by the embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the appended drawings is not intended to limit the scope of the claimed application, but rather to represent selected embodiments of the application. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without any creative work shall fall within the scope of protection of this application.

It should be noted that similar reference numerals and letters represent similar items in the following figures, therefore, once an item is defined in one figure, it does not need further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to differentiate the description and cannot be understood as indicating or implying relative importance.

Please refer to Figure 1, which is a flow chart of a key area integrated air defense platform collaboration method in some embodiments of the present application. The collaboration method of the strategic area integrated air defense platform is used in terminal equipment. The collaboration method of the strategic location integrated air defense platform includes the following steps:

S101, determine the main indicators for selecting the air defense coordination mode of the important area based on the importance level of the defense target in the important area;

S102. Construct the collaborative mode index value of the air defense platform and perform standardization processing to obtain the collaborative mode standard index value;

S103, analyze and determine the current real-time indicator value of the incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the current real-time indicator value of the incoming aircraft into an expected value, and standardize the expected value to obtain the standard expected value;

S104. Calculate the distance difference information between the standard index value of the collaboration mode and the standard expected value based on the IOWA operator;

S105: Select the optimal collaboration mode based on the distance difference information.

It should be noted that the coordination model of key area air defense platforms is mainly considered from the following three aspects: coordination method, shooting method and number of interceptors; the key area integrated air defense coordination mode includes ground air defense platforms (key area air defense), surface air defense platforms Collaborative air defense for key areas (reef-sea coordination), air defense platforms for air defense for key areas (reef-air coordination), and surface air defense platforms and air defense platforms for air defense for key areas (reef-sea-air coordination). There are two main air defense interception modes for key areas. Form: shoot-observe-shoot and shoot-shoot.

There are many factors that affect the selection of collaboration modes of air defense platforms in key areas. According to the characteristics of collaboration of air defense platforms in key areas, this section will analyze the threat level, quantity, importance level of defense targets and expected interception probability of incoming aircraft as the selection indicators of the coordination mode of air defense platforms. .

Please refer to Figure 2. Figure 2 is a flow chart of main indicators for selecting a coordination mode of a key area integrated air defense platform coordination method in some embodiments of the present application. According to the embodiment of the present invention, the main indicators for selecting the air defense coordination mode of the important area are determined according to the importance level of the defense target of the important area, specifically including:

S201, based on the actual situation of air defense operations in key areas, the importance of defending targets is divided into three levels. The three levels are level one, level two and level three;

S202, level one includes docks, railways, highways or hospitals; level two includes airports, oil depots and military supplies warehouses; level three includes command posts and positions;

S203, according to different incoming aircraft and different combat styles, the expected interception probability of the target is called the expected interception probability;

S204: Determine the main indicators for collaborative mode selection based on the threat level and quantity of the incoming aircraft, the importance level of the defense target and the expected interception probability.

According to the characteristics of the incoming aircraft, the flight modes used by the incoming aircraft can be divided into five air attack styles: high-altitude stealth penetration, low-altitude flight penetration, special route penetration, opening up air corridor penetration, or utilizing night or complex weather conditions to penetrate. .

Please refer to Figure 3. Figure 3 is a target threat level analysis flow chart of a key area integrated air defense platform collaboration method in some embodiments of the present application. According to the embodiment of the present invention, the main indicators for cooperative mode selection are determined based on the threat level and quantity of incoming aircraft, the importance level of the defense target and the expected interception probability, and also include:

S301, based on the flight characteristics of the incoming aircraft, construct the incoming aircraft threat indicators. The incoming aircraft threat indicators include the incoming aircraft type, the incoming aircraft speed, the incoming aircraft altitude, the incoming aircraft stealth performance and the incoming aircraft heading angle;

S302, analyze the target threat level based on the incoming aircraft threat indicators;

S303: Quantify the threat level of the incoming aircraft through the target threat level. The level of the incoming aircraft includes major threat, relatively large threat and general threat.

It should be noted that the type of incoming aircraft , the weight of the incoming aircraft type indicator is recorded as ;Incoming aircraft speed , the weight of the incoming aircraft speed index is recorded as ;Incoming aircraft altitude , the weight of the incoming aircraft height indicator is recorded as ;Incoming aircraft range , the weight of the incoming aircraft range indicator is recorded as ;Stealth performance of incoming aircraft , the weight of the incoming aircraft stealth performance index is recorded as and the heading angle of the incoming aircraft , the weight of the heading angle indicator of the incoming aircraft is recorded as , the target threat level quantifies the threat level of the incoming aircraft, and is an important indicator for selecting the coordination mode. There are many factors that affect the target threat level. According to the actual characteristics of air defense operations in key areas, an incoming aircraft threat level indicator is constructed to quantify the threat indicator. The table is shown in Table 1.

Table 1

The quantification method of each indicator is given in Table 1, and each target attribute is divided into 3 levels.

The formula for calculating the comprehensive threat level of incoming aircraft is: , divides incoming aircraft into three levels, representing major threats, major threats and general threats respectively. If the incoming aircraft is judged to have a high probability of being an unconventional weapon (nuclear, biological and chemical weapon, etc.), it can be directly identified as a major threat.

According to the embodiment of the present invention, the collaboration mode index value of the air defense platform is constructed, and standardized processing is performed to obtain the collaboration mode standard index value, which specifically includes: setting the collaboration mode to kind, A collaborative model is recorded as , the indicator set of collaborative mode is ;

The standardized calculation formula is used to standardize the collaborative mode indicator data to obtain the standard data of the collaborative mode indicator. The standardized calculation formula is: standardized data = , No. The standard data for a collaborative mode indicator is: .

According to the embodiment of the present invention, the real-time index value of the current incoming aircraft is determined, the FC-OWA operator is used to convert the triangular fuzzy number in the real-time index value of the current incoming aircraft into an expected value, and the expected value is standardized to obtain the standard expected value. Specifically, Including: setting the real-time indicator value of the current incoming aircraft , using the FC-OWA operator to The triangular fuzzy numbers in are converted into expected values, and the expected value calculation formula is as follows: ;The formula for normalizing the expected value is as follows: .

According to the embodiment of the present invention, calculating the distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator also includes: obtaining the distance difference information, comparing the distance difference information with the preset difference information, and obtaining the deviation rate; judging Whether the deviation rate is greater than or equal to the preset deviation rate threshold; if it is greater than or equal, correction information is generated, and the standard index value of the collaboration mode is adjusted based on the correction information; if it is less than the distance difference information, the optimal collaboration mode is selected.

It should be noted that the formulation of the air defense platform collaboration model needs to be determined based on the threat level and quantity of the incoming aircraft, the importance of the target to be defended and the expected interception probability. Different air defense scenarios require the formulation of different air defense platform collaboration models; simulation of key locations is integrated Based on the actual scenarios of chemical air defense, 15 key air defense and air raid scenarios and coordination modes were developed, as shown in Table 2.

Table 2

For key air defense coordination mode scenarios, the corresponding coordination modes are shown in Table 3.

table 3

In strategic air defense operations, affected by factors such as the natural environment and electronic interference, there are often some uncertain factors when detecting enemy aircraft. For example, there may be certain uncertainties in the number of incoming aircraft and the threat level of incoming aircraft. Therefore, in the design of the selection operator, it is necessary to consider the ordered weighted mean distance operator under uncertainty. To this end, the OWA operator (continuous ordered weighted averaging, C-OWA) on the continuous interval is first given, referred to as the C-OWA operator.

set up ,and ;in And satisfy: is called is the OWA operator on the continuous interval, referred to as the C-OWA operator. Is the BUM function (Basic Unit-interval Monotonic).

Ruoring Then the C-OWA operator can be expressed as In addition to describing interval numbers, uncertain situations are often characterized by fuzzy numbers. Commonly used fuzzy numbers include triangular fuzzy numbers and trapezoidal fuzzy numbers. This section only uses triangular fuzzy numbers to study the uncertainty of incoming aircraft.

a fuzzy number Its characteristic function is as follows is called is a triangular fuzzy number, recorded as ; Since fuzzy numbers cannot be compared directly, fuzzy numbers are usually converted into real numbers or expected values for comparison. The C-OWA operator can aggregate continuous data, so the C-OWA operator can be used to aggregate fuzzy numbers and then sort the fuzzy numbers.

Let triangular fuzzy number of interception interval in For the confidence level, combined with the C-OWA operator, the operator is defined as follows ;say It is the fuzzy C-OWA operator (fuzzy continuous ordered weighted averaging), recorded as FC-OWA operator.

Ruoring hour, but ;when hour, Obtaining the maximum value indicates that the decision-maker prefers fuzzy numbers Take the larger value; when hour, Obtaining the average value shows that the decision-maker prefers fuzzy numbers Take the mean; when hour, Taking the minimum value indicates that the decision maker prefers fuzzy numbers Take the smaller value.

set up and are two triangular fuzzy numbers, then it is called It is the distance derived by the FC-OWA operator. This formula can be used to measure the distance between two triangular fuzzy numbers.

Combining the FC-OWA operator and the IOWAD operator, the concept of the FC-IOWAD operator is given below.

set up are two triangular fuzzy number sets, where make ;in Represents fuzzy numbers The distance is according to the induced sorting vector values, is the weight vector, ; The gathering process of the FC-IOWAD operator is to first use the FC-OWA operator to convert the two fuzzy number sets into expected value real number sets, and then use the IOWAD operator to gather the differences between the two real number sets.

The FC-IOWAD operator is used as a distance operator, which satisfies the general properties of set operators.

set up is the FC-IOWAD operator, for Any substitution of element subscripts, then ;

Proof: By the definition of FC-IOWAD operator ;in Represents fuzzy numbers The distance is according to the induced sorting vector values.

The same can be said ,Right now .

set up is any three triangular fuzzy number sets.

If for any , both ,but , the above conclusion can be easily verified by the definition of FC-IOWAD operator and the distance formula induced by FC-OWA operator.

set up is any two sets of triangular fuzzy numbers. If for any , both ,but .

set up is any three triangular fuzzy number sets, then we have .

Proof: According to the definition of FC-IOWAD operator Then according to the trigonometric inequality property of Hamming distance Available ;Similarly, it can be proved that the FC-IOWAD operator satisfies symmetry and positive certainty. Therefore, the FC-IOWAD distance operator has the dual properties of distance and collective operators.

In the second aspect, embodiments of the present application provide a collaborative system for an integrated air defense platform at a strategic location. The system includes a memory and a processor. The memory includes a program for a collaborative method for an integrated air defense platform at a strategic location. The integrated air defense platform at a strategic location When the program of the collaborative method is executed by the processor, the following steps are implemented:

Determine the main indicators for selecting the air defense coordination mode for key areas based on the importance level of the defense targets in key areas;

Construct the collaborative mode index value of the air defense platform and perform standardization processing to obtain the collaborative mode standard index value;

Analyze and determine the current real-time indicator value of the incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the current real-time indicator value of the incoming aircraft into an expected value, and standardize the expected value to obtain the standard expected value;

Calculate the distance difference information between the standard index value and the standard expected value of the collaborative mode based on the IOWA operator;

Select the optimal collaboration mode based on distance difference information.

It should be noted that the coordination model of key area air defense platforms is mainly considered from the following three aspects: coordination method, shooting method and number of interceptors; the key area integrated air defense coordination mode includes ground air defense platforms (key area air defense), surface air defense platforms Collaborative air defense for key areas (reef-sea coordination), air defense platforms for air defense for key areas (reef-air coordination), and surface air defense platforms and air defense platforms for air defense for key areas (reef-sea-air coordination). There are two main air defense interception modes for key areas. Form: shoot-observe-shoot and shoot-shoot.

There are many factors that affect the selection of collaboration modes of air defense platforms in key areas. According to the characteristics of collaboration of air defense platforms in key areas, this section will analyze the threat level, quantity, importance level of defense targets and expected interception probability of incoming aircraft as the selection indicators of the coordination mode of air defense platforms. .

According to the embodiment of the present invention, the main indicators for selecting the air defense coordination mode of the important area are determined according to the importance level of the defense target of the important area, specifically including:

According to the actual situation of air defense in key areas, the importance of defending targets is divided into three levels. The three levels are level one, level two and level three respectively;

Level one includes docks, railways, highways or hospitals; level two includes airports, oil depots and military supplies warehouses; level three includes command posts and positions;

According to different incoming aircraft and different combat styles, the expected interception probability of the target is called the expected interception probability;

The main indicators for cooperative mode selection are determined based on the threat level and quantity of incoming aircraft, the importance of defending the target and the expected interception probability.

It should be noted that based on the flight characteristics of different incoming aircraft, in order to facilitate the construction of collaborative modes, enemy air attack styles are specifically divided into high-altitude stealth penetration, low-altitude flight penetration, special route penetration, opening up air corridors, or using night penetration. or penetration in complex weather conditions and other five air attack styles.

According to the embodiment of the present invention, the main indicators for cooperative mode selection are determined based on the threat level and quantity of incoming aircraft, the importance level of the defense target and the expected interception probability, and also include:

Based on the characteristics of the incoming aircraft, the threat indicators of the incoming aircraft are constructed. The threat indicators of the incoming aircraft include the type of the incoming aircraft, the speed of the incoming aircraft, the altitude of the incoming aircraft, the range of the incoming aircraft, the stealth performance of the incoming aircraft and the heading angle of the incoming aircraft. ;

Analyze the target threat level based on the incoming aircraft threat indicators; quantify the threat level of the incoming aircraft through the target threat level. The level of the incoming aircraft includes major threats, major threats and general threats.

It should be noted that the type of incoming aircraft , the weight of the incoming aircraft type indicator is recorded as ;Incoming aircraft speed , the weight of the incoming aircraft speed index is recorded as ;Incoming aircraft altitude , the weight of the incoming aircraft height indicator is recorded as ;Incoming aircraft range , the weight of the incoming aircraft range indicator is recorded as ;Stealth performance of incoming aircraft , the weight of the incoming aircraft stealth performance index is recorded as and the heading angle of the incoming aircraft , the weight of the heading angle indicator of the incoming aircraft is recorded as , the target threat level quantifies the threat level of the incoming aircraft, and is an important indicator for selecting the coordination mode. There are many factors that affect the target threat level. According to the actual characteristics of air defense operations in key areas, an incoming aircraft threat level indicator is constructed to quantify the threat indicator. The table is shown in Table 4.

Table 4

Table 4 gives the quantification method of each indicator, and each target attribute is divided into 3 levels. The formula for calculating the comprehensive threat level of incoming aircraft is: .

Incoming aircraft are divided into three levels, representing major threats, major threats and general threats respectively.

According to the embodiment of the present invention, the collaboration mode index value of the air defense platform is constructed, and standardized processing is performed to obtain the collaboration mode standard index value, which specifically includes: setting the collaboration mode to kind, A collaborative model is recorded as , the indicator set of collaborative mode is ;

The standardized calculation formula is used to standardize the collaborative mode indicator data to obtain the standard data of the collaborative mode indicator. The standardized calculation formula is: standardized data = , No. The standard data for a collaborative mode indicator is: .

According to the embodiment of the present invention, the real-time index value of the current incoming aircraft is determined, the FC-OWA operator is used to convert the triangular fuzzy number in the real-time index value of the current incoming aircraft into an expected value, and the expected value is standardized to obtain the standard expected value. Specifically, include:

Set the current real-time indicator value of the incoming aircraft , using the FC-OWA operator to The triangular fuzzy numbers in are converted into expected values, and the expected value calculation formula is as follows: ;The formula for normalizing the expected value is as follows: .

According to the embodiment of the present invention, calculating the distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator also includes: obtaining the distance difference information, comparing the distance difference information with the preset difference information, and obtaining the deviation rate; judging Whether the deviation rate is greater than or equal to the preset deviation rate threshold; if it is greater than or equal, correction information is generated, and the standard index value of the collaboration mode is adjusted based on the correction information; if it is less than the distance difference information, the optimal collaboration mode is selected.

It should be noted that the formulation of the air defense platform collaboration model needs to be determined based on the threat level and quantity of the incoming aircraft, the importance of defending the target and the expected interception probability. Different battlefield scenarios require the formulation of different air defense platform collaboration models; simulation of key locations is integrated Based on the actual scenarios of chemical air defense operations, 15 air defense and air raid scenarios and coordination modes for important areas have been formulated. The air defense and air attack scenarios for important areas and coastal areas are shown in Table 5.

table 5

For key air defense coordination mode scenarios, the corresponding coordination modes are shown in Table 6.

Table 6

In strategic air defenses, affected by factors such as the natural environment and electronic interference, there are often some uncertain factors when detecting incoming enemy aircraft. For example, there may be certain uncertainties in the number of incoming aircraft and the threat level of incoming aircraft. Therefore, in the design of the selection operator, it is necessary to consider the ordered weighted mean distance operator under uncertainty. To this end, the OWA operator on the continuous interval, referred to as the C-OWA operator, is first given.

set up ,and ;in And satisfy: is called is the OWA operator on the continuous interval, referred to as the C-OWA operator. Is the BUM function (Basic Unit-interval Monotonic).

Ruoring Then the C-OWA operator can be expressed as .

In addition to describing interval numbers, uncertain situations are often characterized by fuzzy numbers. Commonly used fuzzy numbers include triangular fuzzy numbers and trapezoidal fuzzy numbers. This section only uses triangular fuzzy numbers to study the uncertainty of incoming aircraft.

a fuzzy number Its characteristic function is as follows is called is a triangular fuzzy number, recorded as ; Since fuzzy numbers cannot be compared directly, fuzzy numbers are usually converted into real numbers or expected values for comparison. The C-OWA operator can aggregate continuous data, so the C-OWA operator can be used to aggregate fuzzy numbers and then sort the fuzzy numbers.

Let triangular fuzzy number of interception interval in For the confidence level, combined with the C-OWA operator, the operator is defined as follows ,say It is the fuzzy C-OWA operator, denoted as FC-OWA operator.

Ruoring hour, but ;when hour, Obtaining the maximum value indicates that the decision-maker prefers fuzzy numbers Take the larger value; when hour, Obtaining the average value shows that the decision-maker prefers fuzzy numbers Take the mean; when hour, Taking the minimum value indicates that the decision maker prefers fuzzy numbers Take the smaller value.

set up and are two triangular fuzzy numbers, then it is called It is the distance derived by the FC-OWA operator. This formula can be used to measure the distance between two triangular fuzzy numbers.

Combining the FC-OWA operator and the IOWAD operator, the concept of the FC-IOWAD operator is given below.

set up are two triangular fuzzy number sets, where make ;in Represents fuzzy numbers The distance is according to the induced sorting vector values, is the weight vector, ; The gathering process of the FC-IOWAD operator is to first use the FC-OWA operator to convert the two fuzzy number sets into expected value real number sets, and then use the IOWAD operator to gather the differences between the two real number sets.

The FC-IOWAD operator is used as a distance operator, which satisfies the general properties of set operators.

set up is the FC-IOWAD operator, for Any substitution of element subscripts, then .

Proof: By the definition of FC-IOWAD operator ,in Represents fuzzy numbers The distance is according to the induced sorting vector values.

The same can be said Right now .

set up is any three triangular fuzzy number sets. If for any , both ,but ;The above conclusion can be easily verified by the definition of FC-IOWAD operator and the distance formula induced by FC-OWA operator.

set up is any two triangular fuzzy number sets. If for any , both ,but .

set up is any three triangular fuzzy number sets, then we have .

Proof: According to the definition of FC-IOWAD operator Then according to the trigonometric inequality property of Hamming distance Available .

In the same way, it can be proved that the FC-IOWAD operator satisfies symmetry and positive certainty. Therefore, the FC-IOWAD distance operator has the dual properties of distance and collective operators.

The third aspect of the present invention provides a computer-readable storage medium. The readable storage medium includes a coordinated method program for an integrated air defense platform. When the coordinated method program for an integrated air defense platform is executed by a processor, any of the above steps are implemented. An important step in the coordinated approach of integrated air defense platforms.

The invention discloses a key area integrated air defense platform collaboration method, system and medium, which determines the main indicators for key area air defense coordination mode selection according to the importance level of the defense target of the key area; constructs the air defense platform collaboration mode index value and standardizes it Process to obtain the standard index value of the collaborative mode; analyze and determine the real-time index value of the current incoming aircraft, use the FC-OWA operator to convert the triangular fuzzy number in the real-time index value of the current incoming aircraft into an expected value, and standardize the expected value to obtain Standard expected value; calculate the distance difference information between the standard indicator value and the standard expected value of the coordination mode based on the IOWA operator; select the optimal coordination mode based on the distance difference information; select the air defense platform coordination mode through the FC-IOWAD operator to improve the integration of key areas Accuracy of air defense platform collaboration mode selection.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be electrical, mechanical, or other forms. of.

The units described above as separate components may or may not be physically separated; the components shown as units may or may not be physical units; they may be located in one place or distributed to multiple network units; Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention can be all integrated into one processing unit, or each unit can be separately used as a unit, or two or more units can be integrated into one unit; the above-mentioned integration The unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed through hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, the execution includes the above The steps of the method embodiment; the aforementioned storage media include: mobile storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc. that can store The medium for program code.

Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention can be embodied in the form of software products that are essentially or contribute to the existing technology. The software product is stored in a storage medium and includes a number of instructions to enable A computer device (which may be a personal computer, a server, a network device, etc.) executes all or part of the methods described in various embodiments of the present invention. The aforementioned storage media include: mobile storage devices, ROM, RAM, magnetic disks or optical disks and other media that can store program codes.

Claims (3)

1. The method for cooperating with the integrated air defense platform is characterized by comprising the following steps:

determining main indexes of cooperative mode selection of the air defense platform of the to-be-protected according to the importance level of the to-be-protected target;

constructing an air defense platform cooperative mode index value, and performing standardization processing to obtain a cooperative mode standard index value;

analyzing and determining a real-time index value of the current incoming aircraft, converting the triangular fuzzy number in the real-time index value of the current incoming aircraft into a desired value by utilizing an FC-OWA operator, and carrying out standardized processing on the desired value to obtain a standard desired value;

calculating distance difference information between the collaborative pattern standard index value and the standard expected value based on an induced ordered weighted average operator (Induced ordered weighted averaging, IOWA);

selecting an optimal cooperative mode according to the distance difference information;

the main indexes of the air defense cooperative mode selection of the land are determined according to the importance level of the security target of the land, and specifically comprise:

according to the actual condition of the air combat of the land, the important class of the guard target is divided into 3 classes, wherein the 3 classes are respectively a class one, a class two and a class three;

grade one includes wharf, rail, road or hospital; the second grade comprises an airport, an oil depot and a warehouse; the third level comprises a command post and an array land;

the expected interception probability for an incoming aircraft is referred to as the expected interception probability;

determining main indexes of cooperative mode selection according to threat levels and quantity of the attack aircraft, importance levels of the guard targets and expected interception probability;

determining main indexes of cooperative mode selection according to threat level, number, importance level of a guard target and expected interception probability of an incoming aircraft, and further comprising:

constructing threat indexes of the incoming aircraft according to the flight characteristics of the incoming aircraft, wherein the threat indexes of the incoming aircraft comprise the type of the incoming aircraft, the speed of the incoming aircraft, the altitude of the incoming aircraft, the stealth performance of the incoming aircraft and the course angle of the incoming aircraft;

analyzing a target threat level according to the threat indexes of the incoming aircraft;

quantifying the threat level of the aircraft of attack by the target threat level, wherein the aircraft level of attack comprises a major threat, a larger threat and a general threat;

constructing an air defense platform cooperative mode index value, and performing standardized processing to obtain a cooperative mode standard index value, wherein the method specifically comprises the following steps of:

setting the cooperative mode asSeed (L.) of (L>The species synergy pattern is marked as->The index set of the cooperative mode is ；

And carrying out standardized processing on the cooperative mode index data by using a standardized calculation formula to obtain standard data of the cooperative mode index, wherein the standardized calculation formula is as follows:

normalized data =The method comprises the steps of carrying out a first treatment on the surface of the First->Standard data of the individual cooperative mode index are: />；

Determining a current attack aircraft real-time index value, converting a triangle fuzzy number in the current attack aircraft real-time index value into a desired value by utilizing an FC-OWA operator, and carrying out standardization processing on the desired value to obtain a standard desired value, wherein the method specifically comprises the following steps of:

setting a real-time index value of a current attack aircraftThe FC-OWA operator is used for adding +.>The triangular fuzzy number in the model is converted into a desired value, and the calculation formula of the desired value is as follows: />；

The normalization processing formula for the expected value is as follows:

；

calculating distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator, and further comprising:

obtaining distance difference information, and comparing the distance difference information with preset difference information to obtain a deviation rate;

judging whether the deviation rate is larger than or equal to a preset deviation rate threshold value;

if the index value is greater than or equal to the preset index value, generating correction information, and adjusting the collaborative mode standard index value according to the correction information;

and if the distance difference information is smaller than the preset value, selecting an optimal cooperative mode according to the distance difference information.

2. A to-be-ground integrated air defense platform cooperative system, comprising: the system comprises a memory and a processor, wherein the memory comprises a program of a to-be-integrated air defense platform cooperative method, and the program of the to-be-integrated air defense platform cooperative method realizes the following steps when being executed by the processor:

determining main indexes of the to-be-land air defense cooperative mode selection according to the importance level of the to-be-land guard target;

constructing an air defense platform cooperative mode index value, and performing standardization processing to obtain a cooperative mode standard index value;

analyzing and determining a real-time index value of the current incoming aircraft, converting the triangular fuzzy number in the real-time index value of the current incoming aircraft into a desired value by utilizing an FC-OWA operator, and carrying out standardized processing on the desired value to obtain a standard desired value;

calculating distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator;

selecting an optimal cooperative mode according to the distance difference information;

the main indexes of the air defense cooperative mode selection of the land are determined according to the importance level of the security target of the land, and specifically comprise:

according to the actual condition of the air combat of the land, the important class of the guard target is divided into 3 classes, wherein the 3 classes are respectively a class one, a class two and a class three;

grade one includes wharf, rail, road or hospital; the second grade comprises an airport, an oil depot and a warehouse; the third level comprises a command post and an array land;

according to different incoming aircrafts and different flight patterns, the expected interception probability of the target is called expected interception probability;

determining main indexes of cooperative mode selection according to threat levels and quantity of the attack aircraft, importance levels of the guard targets and expected interception probability;

determining main indexes of cooperative mode selection according to threat level, number, importance level of a guard target and expected interception probability of an incoming aircraft, and further comprising:

constructing threat indexes of the incoming aircraft according to the flight characteristics of the incoming aircraft, wherein the threat indexes of the incoming aircraft comprise the type of the incoming aircraft, the speed of the incoming aircraft, the altitude of the incoming aircraft, the stealth performance of the incoming aircraft and the course angle of the incoming aircraft;

analyzing a target threat level according to the threat indexes of the incoming aircraft;

quantifying the threat level of the aircraft of attack by the target threat level, wherein the aircraft level of attack comprises a major threat, a larger threat and a general threat;

constructing an air defense platform cooperative mode index value, and performing standardized processing to obtain a cooperative mode standard index value, wherein the method specifically comprises the following steps of:

setting the cooperative mode asSeed (L.) of (L>The species synergy pattern is marked as->The index set of the cooperative mode is ；

And carrying out standardized processing on the cooperative mode index data by using a standardized calculation formula to obtain standard data of the cooperative mode index, wherein the standardized calculation formula is as follows:

normalized data =The method comprises the steps of carrying out a first treatment on the surface of the First->Standard data of the individual cooperative mode index are: />；

Determining a current attack aircraft real-time index value, converting a triangle fuzzy number in the current attack aircraft real-time index value into a desired value by utilizing an FC-OWA operator, and carrying out standardization processing on the desired value to obtain a standard desired value, wherein the method specifically comprises the following steps of:

setting a real-time index value of a current attack aircraftThe FC-OWA operator is used for adding +.>The triangular fuzzy number in the model is converted into a desired value, and the calculation formula of the desired value is as follows: />；

The normalization processing formula for the expected value is as follows:

；

calculating distance difference information between the collaborative mode standard index value and the standard expected value based on the IOWA operator, and further comprising:

obtaining distance difference information, and comparing the distance difference information with preset difference information to obtain a deviation rate;

judging whether the deviation rate is larger than or equal to a preset deviation rate threshold value;

if the index value is greater than or equal to the preset index value, generating correction information, and adjusting the collaborative mode standard index value according to the correction information;

and if the distance difference information is smaller than the preset value, selecting an optimal cooperative mode according to the distance difference information.

3. A computer-readable storage medium, wherein the computer-readable storage medium includes a to-be-integrated air defense platform cooperation method program, and when the to-be-integrated air defense platform cooperation method program is executed by a processor, the steps of the to-be-integrated air defense platform cooperation method according to claim 1 are implemented.