CN112036643A - Matching degree-based chemical reconnaissance equipment target allocation optimization method - Google Patents

Matching degree-based chemical reconnaissance equipment target allocation optimization method Download PDF

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CN112036643A
CN112036643A CN202010902639.4A CN202010902639A CN112036643A CN 112036643 A CN112036643 A CN 112036643A CN 202010902639 A CN202010902639 A CN 202010902639A CN 112036643 A CN112036643 A CN 112036643A
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毕坤鹏
唐娜
晏国辉
张宏远
张晓勇
刘顺华
付向前
马海峰
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Abstract

The invention provides a matching degree-based chemical reconnaissance equipment target allocation optimization method, which comprises the following steps of: step S1, analyzing the device target distribution strategy; step S2, determining the guaranteed target value; step S3, determining the target matching degree of the chemical reconnaissance equipment; step S4, determining a chemical reconnaissance equipment target allocation optimization decision model; and step S5, solving the optimization decision model and determining the equipment target distribution scheme. The method provided by the invention can optimize and evaluate the values of different guaranteed targets, can guarantee the matching degree of the feasibility measuring and calculating equipment and the targets according to the battle technical performance of different chemical reconnaissance equipment, and can reasonably distribute and marshal the chemical reconnaissance equipment according to the matching degree, the number of the chemical reconnaissance equipment and the demand urgency degree of the guaranteed targets. The method can provide decision basis for realizing the optimization of target distribution of the chemical reconnaissance equipment and the maximization of the guarantee efficiency of the chemical reconnaissance equipment, and has stronger adaptability to different guaranteed targets and different chemical hazard environments.

Description

Matching degree-based chemical reconnaissance equipment target allocation optimization method
Technical Field
The invention belongs to the field of scout target distribution, and particularly relates to a matching degree-based chemical scout equipment target distribution optimization method.
Background
Because the chemical weapon has the characteristics of large destruction power, wide range, long duration and the like, the chemical information is quickly acquired, transmitted and processed, and the chemical weapon has a prerequisite effect on organizing professional guarantee in time and reducing the influence of chemical hazards on troops. Recent local war practices show that the enemy with the information equipment can acquire, transmit and process various kinds of combat information in a battlefield in time by utilizing the information equipment, and the advantage of the information acquisition dominates the advantage of the military action, so that the initiative of the combat victory is mastered. The battlefield chemical information is important information on future information battlefields and is the basic basis for organizing to implement protection guarantee. The chemical reconnaissance equipment is used as a key for acquiring chemical information when fighting under the chemical threat condition, is scientifically and reasonably distributed according to different guarantee targets, relates to the timeliness of chemical hazard information guarantee, relates to the effect of chemical protection action of an army, and directly influences the casualties of the army and the victory of the fighting action.
The traditional target allocation generally uses a decision tree method, the logic nodes needing to be processed in the decision process of the method have multiple levels, the subsequent processing of the details which are not considered in the allocation model is quite complex, and the method cannot adapt to the optimal target allocation in different combat environments. For a long time, the main research content of the classical "weapon-target distribution" problem is the striking feasibility and destruction efficiency of the weapon on the target. The chemical reconnaissance equipment is used as guarantee equipment, does not have the effectiveness of striking and damaging a guarantee target, but provides near-real-time chemical threat information and hazard information for the guaranteed target, and can not be simply optimally distributed on the basis of a weapon-target distribution model.
Disclosure of Invention
In order to solve the technical problems, the distribution requirements of different security targets on chemical reconnaissance equipment are met, the principles of threat level, emphasis and key security are focused, and the security targets and the distribution quantity corresponding to the chemical reconnaissance equipment are reasonably determined. The invention provides a matching degree-based chemical reconnaissance equipment target allocation optimization method, which is characterized in that on the basis of target allocation strategy analysis, according to the thought of 'guaranteed target value analysis, equipment target matching degree measurement and decision model construction quantification', on the basis of comprehensively considering the constraint condition of the problem, an equipment target allocation optimization decision model is constructed, relatively limited chemical reconnaissance equipment is optimally allocated, chemical reconnaissance equipment marshalling suitable for different guarantee requirements is formed, the guarantee efficiency of the chemical reconnaissance equipment is exerted to the maximum extent, the harm effect is reduced, and the guarantee benefit maximization is realized.
The basic command post is used as a command mechanism, and in order to achieve first-fighting, weakening the attack momentum of the enemy and disturbing the attack rhythm, the enemy can possibly carry out chemical attack on the command post; when a user initially seizes a landing place and is unstable in standing, and an attack is prepared to be launched to the depth, an enemy is very likely to implement chemical attack to kill the vitality of the user and weaken the attack momentum of the user, and a favorable condition is created for the counterattack, and at the moment, a main attack channel and a main direction attack group are likely to become attack objects; in order to weaken the attack force of our enemies and reduce the threat of fire attack, chemical attack can be implemented on various artillery groups of our part. Aiming at the main guarantee target and the guarantee requirement, a matching degree judgment model needs to be reasonably selected.
The invention relates to a matching degree-based chemical reconnaissance equipment target allocation optimization method, which comprises the following specific steps of:
the method comprises the following steps: analyzing device target allocation policies
The method comprises the steps that the method is compiled aiming at future combat styles, enemy chemical weapons and use conditions and our combat, the guaranteed target and the chemical reconnaissance equipment of our party are clearly compiled, and relevant information of the guaranteed target and the chemical reconnaissance equipment is collected and processed; and further analyzing and determining the battlefield value and the threat degree of the ensured target, determining the ensuring feasibility of each chemical reconnaissance device and the reconnaissance technology performances such as the type, the remote measuring performance, the sensitivity, the anti-interference performance, the reconnaissance speed and the like of the reconnaissance agent, and analyzing and forming a device target distribution target: the method realizes the maximization of guaranteeing the high-value target of the battlefield, the maximization of reducing the chemical hazard consequence and the maximization of guaranteeing the effectiveness of chemical reconnaissance equipment during the battle under the chemical condition.
Targets are assigned according to facility targets, and first, chemical reconnaissance requirements and threat levels of each secured target are analyzed. According to the configuration regional situation and the target characteristics of the secured target and the chemical attack information of the enemy, the chemical reconnaissance requirement of the secured target is obtained through analysis, and then the chemical threat degree sequence of the secured target to the enemy is determined. Secondly, the security features of each chemical reconnaissance device are analyzed. And analyzing the performance index, the anti-interference performance, the reconnaissance speed and the reconnaissance mechanism of each chemical reconnaissance device to obtain the corresponding guarantee characteristics of each type of device. And finally, analyzing and determining the target distribution strategy of the equipment. And analyzing and determining the equipment target distribution strategy according to the chemical reconnaissance requirements such as the target value of the guaranteed target, the threat degree and the like, the characteristics of the chemical reconnaissance equipment and the equipment target distribution target. Namely: for the guarantee targets with high target value and high threat degree, the optimum reconnaissance equipment type and the possible equipment number are preferentially distributed based on the reconnaissance requirement; for guarantee targets with small target value and low threat degree, reconnaissance equipment can be distributed by adopting a relatively conservative strategy.
Step two: establishing guaranteed target value self-adaptive model
The value of the guaranteed target is an important reference distributed by chemical reconnaissance equipment, and group decision behaviors are often adopted for evaluation in the distributed evaluation process. If n guaranteed targets are needed in the process of battle operation, m decision units are provided, and the value evaluation matrix of the guaranteed targets is as follows:
Figure BDA0002660274710000031
in the formula vijThe evaluation value of the ith decision unit on the jth guaranteed target is represented; let the weight of m decision units be w ═ w1w1…wm]Then, the evaluation value of each secured target is:
Figure BDA0002660274710000032
due to the asymmetry of information grasped by each decision unit and the development and change of battlefield situation, the evaluation value weight of each decision unit is subjected to adaptive change. The weight of the decision unit can be optimized by using a grey system theory, the evaluation value of each decision maker is used as a comparison sequence, the overall weighted evaluation value of the guaranteed target is used as a reference sequence, and the overall association degree between the two is calculated, wherein the greater the overall association degree is, the greater the weight of the decision maker should be. Reference sequence is V0＝[V01 V02 … V0n]Comparison sequence is vi＝[vi vi2 … vin]The correlation coefficient of the two is:
Figure BDA0002660274710000033
where ρ is a resolution coefficient, and the smaller the resolution, the larger the resolution, the 0.5 is preferable.
And adjusting and optimizing the weight of the decision unit based on the overall association degree, wherein the new weight value is as follows:
Figure BDA0002660274710000034
in the formula, R0iFor the overall relatedness of the reference sequence to the comparison sequence,
Figure BDA0002660274710000035
according to the new weight value, a new target value V' of the guaranteed target can be obtained, and the evaluation value of each guaranteed target is as follows:
Figure BDA0002660274710000036
and further obtaining a decision distance according to the new target value:
Figure BDA0002660274710000037
when L (V', V)0) When the value is less than or equal to 0.1, the value adjustment of the guaranteed target is finished, and the new target value V' is the final target value V; otherwise, the process is continued according to the above until the standard requirement is met, thereby determining the value of the guaranteed target.
Step three: construction of chemical reconnaissance device-target matching degree model
When the marshalling of the chemical reconnaissance equipment is determined, the suitability of the equipment to the guaranteed target is quantified by constructing an equipment-target matching degree model according to the difference of the guaranteed target and the difference of equipment fighting and technical performance, and then the marshalling of the equipment is reasonably determined. Because the physical meanings and the dimensions of the performance parameter values of the chemical reconnaissance equipment are different, normalization processing is required to be carried out when the matching degree sub-index numerical value is quantized for facilitating comparison and analysis, and two conditions mainly exist: one is that a larger value indicates a greater ability (e.g., detectable poison species, maneuver speed, etc.); one is that smaller values indicate greater power (e.g., sensitivity, detection response time, etc.).
Equipment detection suitability index
When various chemical reconnaissance equipment guarantees different targets, whether the equipment is suitable for the guaranteed target or not is determined, and whether the requirements of the guaranteed task or the guaranteed target can be met or not is determined.
Figure BDA0002660274710000041
Equipment detection of broad-spectrum index
Whether the chemical reconnaissance equipment can meet the reconnaissance of common toxicants or novel toxicants, and the broad spectrum of the chemical reconnaissance equipment is provided with high requirements. The following formula can be referred to in calculating specific values thereof:
Figure BDA0002660274710000042
in the formula: p is a radical ofniRelative values representing the detection broad spectrum of a chemical detection device; maxNiRepresents the maximum value of the species of the detector poison in the chemical detector apparatus being programmed; n is a radical ofiRepresents a chemical reconnaissance device that detects the species of poison.
Equipment detection credibility index
The chemical reconnaissance equipment has the working principle that the detection result is not necessarily credible. Some portable reconnaissance devices have relatively unreliable reconnaissance results and further require verification; even in a scout car, the performance of the mass spectrometer which is prepared is relatively limited, and the mass spectrometer cannot be completely and qualitatively confirmed for a certain toxic agent poison, and further assay analysis is needed. The credibility of the detection result can be crucial to the efficiency of the chemical detection device. When the specific detection credibility value of the chemical reconnaissance equipment is determined, direct data calculation is not convenient to adopt, and the relative value is determined by adopting expert evaluation scoring, so that the implementation and operation are more convenient.
Equipment detection responsiveness index
Under the condition of informatization war, the reconnaissance equipment and the protection equipment of each country are general in various types and advanced in performance, the information interconnection and intercommunication efficiency between all levels is greatly enhanced compared with the mechanical war, and the use occasion of chemical weapons is inevitably enhanced in the fighting effect of chemical attack. As a defense party, in order to effectively reduce the damage caused by chemical hazards, it is increasingly important that chemical reconnaissance equipment can find and report chemical attacks within the first time, and further find and confirm the type and concentration of toxicants. The embodiment of responsiveness: firstly, remote measurement and point source detection are distinguished; second, minimum response concentration to various toxic agents; thirdly, the detection result consumes time. The detection responsiveness is used as one of the matching indexes of the chemical detection equipment and the guarantee target, and the following formula can be referred when calculating the specific numerical value of the detection responsiveness:
Figure BDA0002660274710000051
in the formula: p is a radical oftiA relative value representing the detection responsiveness of a chemical detection device;
Figure BDA0002660274710000053
is a constant (telemetry value is 0.5, point source detection value is 0), k1、k2The values of the sub-index weights are respectively 0.25; min rhoiRepresenting the minimum response concentration, p, for the detection of a given toxicant in all chemical reconnaissance equipment orchestratediRepresents the minimum response concentration of a certain chemical reconnaissance device to complete the detection of a given toxicant; minTiRepresents the minimum value of the time spent in all the orchestrated chemical reconnaissance equipment to complete the reconnaissance of the given toxicant; t isiRepresenting the time it takes for a chemical reconnaissance device to complete the detection of a given toxicant.
Mobility of equipment detection
The current chemical reconnaissance equipment is mainly point source type reconnaissance equipment, can quickly execute tasks under complex terrains and complex road conditions, and is very important for evaluating the effectiveness of the equipment in executing the tasks. When evaluating the matching degree of the chemical reconnaissance device and the target, the important factor of mobility has to be considered, and the following formula can be referred to when calculating the specific value of the chemical reconnaissance device and the target:
Figure BDA0002660274710000052
in the formula: p is a radical ofmiRepresents a certainRelative values of scout mobility of the chemical scout apparatus; MaxMiRepresents the maximum value of the maneuvering capacity in all the orchestrated chemical reconnaissance equipment; miRepresenting the mobility value of a chemical reconnaissance device.
Equipment target matching degree model
In the process of battle, due to the existence of the intention of a decision maker, the actual battlefield requirements and other reasons, the attention degrees of detection broadness, credibility, speed, maneuverability and the like are different in the equipment target matching process, and important attention is needed in the process of constructing a matching degree model. For this purpose, when determining the matching degree model of the chemical reconnaissance equipment, the weight lambda is respectively introduced into each sub index1、λ2、λ3、λ4The matching degree model is shown as the following formula:
pi＝psi(λ1pni+λ2pai+λ3pti+λ4pmi)
step four: constructing optimization decision model for target allocation of chemical reconnaissance equipment
The chemical reconnaissance equipment system is optimized and combined by a series of equipment as well as other equipment systems. The timeliness of the equipment-target allocation and the merits of the allocation scheme directly affect the effectiveness of chemical reconnaissance. In the battlefield environment with multiple reconnaissance devices and multiple security targets, multiple device-target distribution schemes can be generated, and different combat effects can be generated by different distribution schemes. The optimal scheme of the chemical reconnaissance equipment distribution optimization model is that under the conditions of given equipment model and scale, the matching degree between equipment and a guarantee object is maximized, the chemical hazard consequence is reduced to the maximum degree, and the guarantee benefit is maximized. Supposing that i chemical reconnaissance devices guarantee j targets, the number of the guaranteed targets of each chemical reconnaissance device is xijThe number of each chemical reconnaissance equipment is MiThe value and importance of each guaranteed target is vjThe urgent degree of the reconnaissance time requirement of each guaranteed target is tjThe matching value of each chemical reconnaissance device with respect to each target is pijThe device-target assignment model is as follows:
Figure BDA0002660274710000061
Figure BDA0002660274710000062
step five: optimization decision model for solving equipment target allocation
When the allocation optimization decision model is specifically solved, the target allocation model is converted into an integer programming problem, and the equipment-target allocation model is converted into:
Figure BDA0002660274710000063
Figure BDA0002660274710000064
in the constraint condition, Aeq is 11 × m, and represents n-dimensional row vectors with elements of 1; beq-MiRepresenting the number of different devices; a is a column vector containing m × n elements, and if the value of the security target, the matching degree and the demand urgency degree of the reconnaissance time are multiplied by each other, the obtained coefficient is qiIn the formula, the element [ q ]110…0；0q2200；……；00…qmn](ii) a b is an m-dimensional column vector, and the elements in the formula allocate objective function values corresponding to upper limits to each device.
And (3) combining quantitative values of indexes such as the value, the matching degree and the demand urgency degree of reconnaissance time of the guaranteed target, and performing optimization solution on the objective function by adopting a linear programming-based branch boundary method (LP algorithm) to obtain the equipment distribution quantity of each guaranteed target, thereby providing a decision basis for equipment optimization grouping.
Has the advantages that:
the method provided by the invention can optimize and evaluate the values of different guaranteed targets, can guarantee the matching degree of the feasibility measuring and calculating equipment and the targets according to the battle technical performance of different chemical reconnaissance equipment, and can reasonably distribute and marshal the chemical reconnaissance equipment according to the matching degree, the number of the chemical reconnaissance equipment and the demand urgency degree of the guaranteed targets. The method can provide decision basis for realizing the optimization of target distribution of the chemical reconnaissance equipment and the maximization of the guarantee efficiency of the chemical reconnaissance equipment, and has stronger adaptability to different guaranteed targets and different chemical hazard environments.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The drawings in the following description are only some embodiments of the invention, and other drawings may be derived from those drawings by a person skilled in the art without inventive effort.
FIG. 1 is a flow chart of a matching-based optimization method for target assignment to chemical reconnaissance devices.
Detailed Description
The implementation data of the invention comes from the comprehensive application practice of chemical reconnaissance equipment. According to actual requirements for executing the fighting deployment of chemical reconnaissance mission equipment, evaluating the target values of different guaranteed targets by applying a guaranteed target value self-adaptive model to the characteristics of the guaranteed targets and the chemical reconnaissance requirements; through characteristic analysis of detection modes, detection speeds, restriction factors and the like of different detection devices, detection suitability, broad spectrum, credibility, responsiveness, maneuverability and other different indexes of the detection devices are quantified, and the specific detection device-target matching degree is measured and calculated; and carrying out quantitative value taking through each index of the equipment target distribution optimization decision model, and carrying out optimization solution on the scout equipment distribution of the guaranteed target under a certain constraint condition so as to determine the optimized marshalling of the chemical scout equipment.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described below in a system with reference to the drawings in the embodiments, and the described embodiments of the present invention are only a part of the embodiments of the present invention, but not all of the embodiments.
FIG. 1 is a flow chart of the objective assignment optimization method of chemical reconnaissance equipment according to the present invention. Taking the following specific example of the chemical reconnaissance equipment of a certain squad ensuring the targets of a certain command post, a main attack group, an assault channel, a artillery group and the like as examples, the implementation steps are as follows:
the method comprises the following steps: analyzing device target allocation policies
The method comprises the following steps of collecting and processing relevant information of a guaranteed target and each chemical reconnaissance device, determining the battlefield value, the threat degree, the guarantee feasibility of each chemical reconnaissance device, the type, the remote measurement performance, the sensitivity, the anti-interference performance, the reconnaissance speed and the like of a reconnaissance agent of the guaranteed target, and further analyzing a target allocation strategy: the battle environment under the chemical condition realizes the maximization of guaranteeing the high-value target of the battlefield, the maximization of reducing the chemical hazard consequence and the maximization of realizing the guarantee efficiency of the chemical reconnaissance equipment.
The guaranteed targets under a certain combat condition are assumed to be: the command post, the main attack group, the assault channel, the artillery group and the chemical reconnaissance equipment are as follows in sequence: a-type scout car, B-type scout car, C-type remote sensing car and D-type portable equipment. The chemical reconnaissance requirements and the degree of threat of each secured target are first analyzed. According to the configuration regional situation and the target characteristics of the ensured target and the chemical attack information of the enemy, the chemical reconnaissance requirements of the ensured target are analyzed and obtained as follows: commanding the region needing to be covered and configured, alarming in real time and detecting rapidly; the main attack group needs maneuvering accompanying reconnaissance, rapid alarm and immediate identification of attack conditions; artillery groups need fixed-point reconnaissance and attack condition can be quickly judged; the attack channel needs fixed-point reconnaissance and telemetering to judge the attack situation. The chemical threat degrees of each guaranteed target are from high to low: command post, main attack group, assault channel, artillery group. And secondly, analyzing the security characteristics of each chemical reconnaissance device. The performance index, the anti-interference performance, the reconnaissance speed and the reconnaissance mechanism of each device are analyzed, and the adaptive guarantee characteristics of each device are obtained through analysis, for example, an A-type reconnaissance vehicle has comprehensive performance, is suitable for fixed-point and maneuvering reconnaissance, has a remote measurement function, is high in reconnaissance speed, general in trafficability and the like; the type B scout car has the advantages of remote detection function, comprehensive performance, suitability for fixed-point and maneuvering scout, high scout speed, good trafficability, difficulty in interference and the like; the C-type telemetry vehicle has the telemetry function, relatively single performance, suitability for fixed-point remote telemetry, high reconnaissance speed and the like; the D-type portable equipment is suitable for point source alarm, general in tactical performance, easy to be interfered and the like. And finally analyzing and determining the target distribution strategy of the equipment. By analyzing the characteristics of the guarantee targets and the reconnaissance equipment, in order to guarantee the high-value targets in the battlefield to the maximum extent, reduce the chemical hazard consequences to the maximum extent and guarantee the effectiveness of the chemical reconnaissance equipment to the maximum extent, the equipment is allocated according to the target value and the threat degree of the guarantee targets and based on the corresponding reconnaissance requirements. For example, for security targets with high target value and high threat degree, such as command posts and main attack groups, the optimum reconnaissance equipment type and the possible equipment number are preferentially distributed based on the reconnaissance requirement; for guarantee targets with small target value and low threat degree, such as assault channels and artillery groups, reconnaissance equipment can be distributed by adopting a relatively conservative strategy.
Step two: determining guaranteed target value according to guaranteed target value self-adaptive model
If 4 guaranteed targets are needed in the process of fighting, 3 decision units are provided for assigning values to the value evaluation matrix of the guaranteed targets:
Figure BDA0002660274710000081
let the weights of the 3 decision units be w ═ 0.250.40.35 in turn]Then the evaluation value of the secured object is V0＝[0.906 0.838 0.830 0.701]And taking the overall evaluation value as a reference sequence, taking the target evaluation value of each decision unit as a comparison sequence, calculating a formula according to the correlation coefficient, and taking the resolution coefficient rho as 0.5, wherein the overall correlation degree between the comparison sequence and the reference sequence is as follows: r0＝[R01 R02 R03]＝[0.3688 1 0.4771]。
Adjusting and optimizing the weight of the decision unit based on the overall relevance degree, and obtaining the decision unitThe new weight value is w' ═ 0.150.60.25](ii) a The new evaluation value of the secured target is V' ═ 0.9030.8370.8310.699](ii) a Further obtaining the decision distance L (V', V) according to the new weight value0)＝3.87×10-3If the value of the guaranteed target is less than or equal to 0.05, finishing the value adjustment of the guaranteed target, and taking the new evaluation value V' of the guaranteed target as the final target value V; otherwise, the process continues according to the above.
Step three: determination of chemical scouting apparatus-degree of target matching
3.1 quantitative index value
As the physical meanings and dimensions of the performance parameter values of the chemical reconnaissance equipment are different, in order to facilitate comparison and analysis, dimensionless normalization processing is firstly carried out when the values of all indexes are quantized. The matching degree is calculated by taking the respective guarantee command of each chemical reconnaissance device as an example.
And detecting the value of the suitability index. The type 4 chemical reconnaissance equipment such as type A reconnaissance car, type B reconnaissance car, type C telegauge car, type D portable equipment all can satisfy certain needs of the chemical reconnaissance of the guarantee target to the command post, and the index value is 1.
Detecting the value of the broad-spectrum index. According to the species of the toxicant which can be detected by each piece of reconnaissance equipment and a quantitative calculation formula, index values are obtained after correction, and the formula sequentially comprises the following steps: 0.8, 0.85, 0.9, 0.4.
And detecting credibility values. According to the reconnaissance principle of each reconnaissance device and the reliability of the reconnaissance data, determining the relative numerical value by adopting expert evaluation scoring, which sequentially comprises the following steps: 0.8, 1, 0.5.
And detecting the value of the responsiveness index. According to the fact that each reconnaissance device has no remote measuring function and specific quantitative values such as the reconnaissance response time and the reconnaissance consumption time, and by combining a reconnaissance responsiveness index calculation formula, the numerical values of each type of device are obtained in sequence as follows: 0.6, 1, 0.6.
And detecting mobility values. The operator of the portable reconnaissance equipment needs to maneuver, the maneuverability evaluation value can refer to the evaluation value of the reconnaissance vehicle, and the numerical values of various types of equipment obtained according to a quantization formula are as follows in sequence: 0.7, 1, 0.7.
3.2 quantitative evaluation of index weight
And judging the value of each sub-index weight by adopting an analytic hierarchy process. And inviting relevant experts in the application field of the chemical reconnaissance equipment to determine the relative importance of each sub-index in a pairwise comparison mode, and then determining the weight value of each sub-index through comprehensive judgment.
The pairwise comparison matrix is:
Figure BDA0002660274710000091
the index weight calculation is to calculate the maximum characteristic root lambda of the judgment matrix AmaxAnd the component of the corresponding characteristic vector after the vector is normalized is the weight of the corresponding index. Through calculation, the sub-index weight value is as follows:
λ＝[0.54 0.29 0.15 0.07]
3.3 device-target matching degree determination
And according to the quantitative value of the sub-index, the weight of the sub-index and the matching degree calculation model of each chemical reconnaissance device in the guarantee command post, the quantitative value of the matching degree in the guarantee command post of each chemical reconnaissance device can be obtained.
pi1＝psi(λ1pni+λ2pai+λ3pti+λ4pmi)＝[0.80 0.97 0.83 0.50]
By applying the method for measuring and calculating the matching degree of the security command post, the matching degree between each chemical reconnaissance device and other security targets can be obtained, and the quantitative value of the overall matching degree is as follows:
Figure BDA0002660274710000101
step four: determining chemical reconnaissance equipment target allocation optimization decision model
The optimal scheme of the chemical reconnaissance equipment allocation optimization model is to maximize the matching degree between equipment and a guarantee object under the conditions of given equipment model and scale and reduce the chemical hazard consequence to the maximum degreeThereby ensuring the maximum efficiency. According to the above, the number of secured targets is 4, the number of chemical reconnaissance devices is 4, and the number of each chemical reconnaissance device is MiThe number of security targets of each chemical reconnaissance device is xijThe value and importance of each guaranteed target is vjThe urgent degree of the reconnaissance time requirement of each guaranteed target is tjThe matching value of each chemical reconnaissance device with respect to each target is pijThe device-target assignment model is as follows:
Figure BDA0002660274710000102
Figure BDA0002660274710000103
step five: optimal decision model for solving target distribution
And (3) combining quantitative values of indexes such as the value, the matching degree and the demand urgency degree of reconnaissance time of the guaranteed target, and performing optimization solution on the objective function by adopting a linear programming-based branch boundary method (LP algorithm) to obtain the equipment distribution quantity of each guaranteed target, thereby providing a decision basis for equipment optimization grouping.
When the allocation optimization decision model is specifically solved, the target allocation model is converted into an integer programming problem, and the equipment-target allocation model is converted into:
Figure BDA0002660274710000104
Figure BDA0002660274710000105
quantifying the time demand urgency degree index, wherein 4 types of guarantee target monitoring time urgency degree values are respectively as follows: t ═ 0.960.920.920.90; according to the calculation in the second step and the third step, the value of the guarantee target is v ═ 0.9030.8370.8310.699, the overall matching degree of the chemical reconnaissance device target is p, and the number of each chemical reconnaissance device is x ═ 610235. According to preliminary measurement and calculation, the type B reconnaissance vehicle is the most suitable equipment for the security targets such as a command post, a main attack group, an assault channel, a artillery group and the like, but the number of the equipment is limited, and the equipment is reasonably compiled according to the actual requirements and the actual combat of each security object.
For other types of chemical reconnaissance equipment, when the specific distribution quantity is determined, the lower limit and the upper limit of the equipment quantity of the security objects are reasonably determined by combining the possible requirements of each security object and the equipment object matching degree, and then the respective quantity is distributed by combining an integer programming algorithm. Taking the type D portable device as an example, the number of devices allocated to each safeguard target is solved, and if the lower limit of the number of devices allocated to each safeguard target is [ 10886 ], the upper limit of the number of devices allocated is [ 15202015 ]. At this time, the equality constraints are Aeq ═ 1,1,1, beq ═ 35, and the inequality constraints are: b ═ 14.2; 14.2; 6.4; 13.2] a ═ 0.71000; 00.7100, respectively; 000.320, respectively; 0000.66]. And (3) performing optimization solution on the equipment-target distribution model by using a linear programming-based branch boundary method (LP algorithm) to obtain the equipment distribution quantity of each guaranteed target which is 15, 20, 8 and 7 in sequence.
If the lower limit of the distribution quantity of the equipment corresponding to each safeguard target of the type A scout car, the type B scout car and the type C telemetry car is [ 0000 ], [ 1111 ], [ 0011 ] in sequence, and the upper limit of the distribution quantity of the equipment corresponding to each safeguard target is [ 2442 ], [ 1111 ] in sequence, the distribution quantity of each safeguard target corresponding to the type A scout car, the type B scout car and the type C telemetry car is [ 2400 ], [ 2431 ] and [ 0011 ] in sequence by using the same calculation method.
According to the optimization solution distribution result, the number of chemical reconnaissance devices distributed by different security objectives can be obtained, and is specifically shown in table 1.
TABLE 1 chemical scout facility target assignment scheme
Figure BDA0002660274710000111
Although illustrative embodiments of the present invention have been described above to facilitate the understanding of the present invention by those skilled in the art, it should be understood that the present invention is not limited to the scope of the embodiments, but various changes may be apparent to those skilled in the art, and it is intended that all inventive concepts utilizing the inventive concepts set forth herein be protected without departing from the spirit and scope of the present invention as defined and limited by the appended claims.

Claims (8)

1. A chemical reconnaissance equipment target allocation optimization method based on matching degree is characterized by comprising the following steps:
step S1, analyzing the target distribution strategy of the chemical reconnaissance equipment;
step S2, determining the guaranteed target value;
step S3, determining the target matching degree of the chemical reconnaissance equipment;
step S4, determining a chemical reconnaissance equipment target allocation optimization decision model;
and step S5, solving the optimization decision model and determining the equipment target distribution scheme.
2. The matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 1, wherein the step S1 specifically comprises:
1.1) analyzing the chemical reconnaissance requirements and the threat degree of each security target;
1.2) analyzing the guarantee characteristics of each chemical reconnaissance device;
1.3) analyzing and determining the target distribution strategy of the equipment.
3. The matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 1, wherein the step S2 specifically comprises:
2.1) preliminarily determining a target value V according to the value evaluation matrix assignment and the decision unit weight0；
2.2) solving the integral association degree between the comparison sequence and the reference sequence;
2.3) determining the new weight of the decision unit to obtain a new target value V';
2.4) judging the decision distance and determining the final target value V.
4. The matching-based chemical reconnaissance device target assignment optimization method according to claim 3, specifically comprising:
if n guaranteed targets are needed in the process of battle operation, m decision units are provided, and the value evaluation matrix of the guaranteed targets is as follows:
Figure FDA0002660274700000011
in the formula vijThe evaluation value of the ith decision unit on the jth guaranteed target is represented; let the weight of m decision units be w ═ w1 w1 … wm]Then, the evaluation value of each secured target is:
Figure FDA0002660274700000021
optimizing the weight of the decision unit by using a grey system theory, taking the evaluation value of each decision maker as a comparison sequence, taking the overall weighted evaluation value of the guaranteed target as a reference sequence, and calculating the overall association degree between the two; reference sequence is V0＝[V01 V02 … V0n]Comparison sequence is vi＝[vi vi2 … vin]The correlation coefficient of the two is:
Figure FDA0002660274700000022
wherein rho is a resolution coefficient;
R0ifor reference and comparison sequencesOverall relevance:
Figure FDA0002660274700000023
and adjusting and optimizing the weight of the decision unit based on the overall association degree, wherein the new weight value is as follows:
Figure FDA0002660274700000024
and obtaining a new target value V' of the guaranteed target according to the new weight value, wherein the evaluation value of each guaranteed target is as follows:
Figure FDA0002660274700000025
and further obtaining a decision distance according to the new target value:
Figure FDA0002660274700000026
when L (V', V)0) When the value is less than or equal to 0.1, the value adjustment of the guaranteed target is finished, and the new target value V' is the final target value V; otherwise, the process is continued according to the above until the standard requirement is met, thereby determining the value of the guaranteed target.
5. The matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 1, wherein the step S3 specifically comprises:
3.1) determining the quantitative values of the sub-indexes of suitability, broad-spectrum property, credibility, responsiveness and mobility according to an index quantitative formula;
3.2) determining the weight lambda of each sub-indexiA numerical value;
3.3) determining the target matching degree p of each chemical reconnaissance device.
6. The matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 1, wherein the step S4 specifically comprises:
supposing that i chemical reconnaissance devices guarantee j targets, the number of the guaranteed targets of each chemical reconnaissance device is xijThe number of each chemical reconnaissance equipment is MiThe value and importance of each guaranteed target is vjThe urgent degree of the reconnaissance time requirement of each guaranteed target is tjThe matching value of each chemical reconnaissance device with respect to each target is pijThe device-target assignment model is as follows:
Figure FDA0002660274700000031
Figure FDA0002660274700000032
7. the matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 1, wherein the step S5 specifically comprises:
5.1) converting the optimization decision model into an integer programming model;
5.2) solving the distribution quantity of certain equipment to each guarantee target according to the quantitative value and the constraint condition of each index;
5.3) determining a target distribution scheme of the chemical reconnaissance equipment.
8. The matching-based target assignment optimization method for chemical reconnaissance equipment according to claim 7, wherein the step S5 specifically comprises:
when the allocation optimization decision model is specifically solved, the target allocation model is converted into an integer programming problem, and the equipment-target allocation model is converted into:
Figure FDA0002660274700000033
Figure FDA0002660274700000034
in the constraint condition, Aeq is 11 × m, and represents n-dimensional row vectors with elements of 1; beq-MiRepresenting the number of different devices; a is a column vector containing m × n elements, and if the value of the security target, the matching degree and the demand urgency degree of the reconnaissance time are multiplied by each other, the obtained coefficient is qiIn the formula, the element [ q ]11 0 … 0；0 q22 0 0；……；0 0 … qmn](ii) a b is an m-dimensional column vector, and elements in the formula allocate objective function values corresponding to upper limits to each device;
and (3) combining quantitative values of the value, matching degree and demand urgency degree indexes of the guaranteed target, and performing optimization solution on the target function by adopting a linear programming-based branch boundary method to obtain the equipment distribution quantity of each guaranteed target, thereby providing a decision basis for equipment optimization marshalling.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106203870A (en) * 2016-07-18 2016-12-07 南京航空航天大学 A kind of complex analysis towards combined operation and weapon allocation method
CN107886184A (en) * 2017-09-30 2018-04-06 上海机电工程研究所 A kind of many types of antiaircraft weapon shuffling group of fire Target Assignment optimization method
CN107944694A (en) * 2017-11-21 2018-04-20 中国人民解放军陆军装甲兵学院 A kind of equipment Safeguard operational process analysis method towards operational performance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106203870A (en) * 2016-07-18 2016-12-07 南京航空航天大学 A kind of complex analysis towards combined operation and weapon allocation method
CN107886184A (en) * 2017-09-30 2018-04-06 上海机电工程研究所 A kind of many types of antiaircraft weapon shuffling group of fire Target Assignment optimization method
CN107944694A (en) * 2017-11-21 2018-04-20 中国人民解放军陆军装甲兵学院 A kind of equipment Safeguard operational process analysis method towards operational performance

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
KUNPENG BI, ETC.: "Research on certain type equipment failure intervals forcasting based on gray-markov model", 《IEEE》 *

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