中国科技核心期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
中国指挥与控制学会会刊
军事装备类重点期刊
Capability requirement analysis is the key stage of operational concept development. Based on the formal description of the operational concept capability requirement analysis, a method of operational concept capability requirement analysis based on DRL(deep reinforcement learning) is designed from the perspective of qualitative and quantitative combination. In this method, small sample data sets with high reliability can be obtained through simulation experiments. Based on the experience data, the surrogate model of operation concept is constructed, and the model is optimized and trained by using multi-objective optimization algorithm with the high credibility simulation data set as the input. Finally, the agent model obtained from the training and the DRL framework are interactively optimized to achieve the reverse exploration of the operational concept capability requirements. The experiment results show that the method is feasible.
An ontology-based knowledge graph construction method for military terminology is proposed, which is used to obtain semantic information in military terminologycorpus and construct military terminology knowledge graph. Then the ontology of military terminology is built firstly based on the analysis of military terminologycorpus. In this method, the rule based method and the pre-trained model based method are used to extract the relation of military terminology and the knowledge of military terminology is stored in the graph database at last. This method can construct high quality knowledge graph of military terminology for intelligent applications such as semantic search, intelligent question and answer.
In order to study the problem of damage to typical targets by naval guns and weapons of coast guard vessels in rights protection law enforcement tasks and improve the operational capability of naval guns and weapons of coast guard vessels, a simulation model and simulation process are constructed. Through simulation calculation of the damage probability and ammunition consumption expectation of different targets, the relationship between the damage probability of typical targets, ammunition consumption expectation and shooting distance are analyzed. Furthermore, the destructive firing strategies of different typical targets are obtained. The research results can provide reference for coast guard vessels to carry out the task of safeguarding rights.
Torpedoes are one of the main threats faced by surface ships and submarines in modern naval warfare. How to defend torpedoes has always been a hot and difficult issue in various countries. This paper analyzes the working principle, technical characteristics, application conditions, advantages and disadvantages of several typical anti torpedo technologies, and on this basis, prospects the development trend of anti-torpedo technology.
The dielectric materials with different refractive index are periodically arranged according to a certain structure to form photonic crystals, which can control the photon transmission regularly. The infrared stealth characteristic of this material is one of the current research focuses. In this paper, the related concepts of photonic crystals and the development of foreign photonic crystal infrared stealth materials are introduced in detail, the characteristics of photonic crystal infrared stealth technology are summarized, and the development of photonic crystal compatible stealth technology is studied, and some enlightenment for the development of photonic crystal infrared stealth technology in the future is given.
In order to improve the operational effectiveness of multi-sensor cooperative detection of carrier-borne fighter, based on the scene of air interception, according to the combat airspace from far to near, the scene model of the extended range search of carrier-borne fighter, the radar infrared fusion detection, the cooperative guidance of formation and radar multi-beam detection are established. In the over-the-horizon, medium-range and short-range search phase, the extended range detection, interference and multi-beam detection in the multi-sensor cooperative detection mode are simulated and analyzed. According to the different combat distance, the design of multi-sensor cooperative detection mode under the combat flow is innovatively carried out.
Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed. Firstly, a bilateral filter is used to suppress the coherent speckle noise and non-uniform undulation inside the target in the high-resolution SAR image. Then, a large-scale SLIC segmentation is performed, and a small-scale SLIC segmentation is performed on the superpixel unit with under segmentation problem by analyzing the roughness of the superpixel unit. Finally, the over-segmented superpixel units are combined to obtain the target detection results. The experimental results show that this method can not only improve the detection efficiency of high-resolution SAR image targets, improve the SAR image target extraction ability, but also help to find small targets that are easily missed by some manual methods, and has good engineering application value.
Aiming at the problem of ship behavior anomaly detection based on massive track data without behavior pattern label, an unsupervised track anomaly detection method based on GRU-VAE model is proposed. The abnormal behavior of the target is found by detecting track anomaly, which is implemented in two steps: model training stage and anomaly detection stage. In the model training stage, the timing modeling ability of GRU gated cyclic Autoencoder (VAE) model is introduced. The Gate Recurrent unit-variational Autoencoder model is trained by historical track data without abnormal information labels. According to the reconstruction loss distribution, the normal distribution method or percentile method is used to delimit the confidence interval as the reconstruction loss threshold. In anomaly detection phase, the model of real-time track data set for testing, regarding the damage threshold of the track to refactor losses above points as abnormal track points, when the track is in the sequence beyond the proportion of abnormal track point accounted threshold, it is judged to be abnormal track sequence, combined with the data anomalies target behavior information are presented to the first-line staff. The experimental results on AIS data show that the highest F1 score of the model is up to 86.36%, and the recall rate is up to 95%. The high sensitivity and low miss alarm rate of this method to abnormal track meet the reconnaissance requirements of first-line units.
Aiming at the specific target search and controllable angle guidance of unmanned surface ships in uncertain waters, this paper explores the target detection method based on YOLO and the guidance control method based on side angle constraint. On the basis of analyzing the uncertain conditions such as sea fog, the paper designs the correlation filter with improved YOLOv5 algorithm to extract the target features, combines depth information to realize the detection and positioning of water surface targets, sliding mode variable structure guidance control to achieve the high maneuverability target side angle constraint guidance. TCP/IP combined with ROS is used to create a corner constrained terminal guidance system for information processing. Two-dimensional simulation experiment is completed with Autolabor platform, and the result of target guidance error is 1.54%, which proves the effectiveness of the method proposed.
An Unscented Kalman Filter with multi model adaptive estimation algorithm (MMAE-UKF) based on dynamic characteristic template is proposed to solve the problem of trajectory estimation of interceptor in boost phase by using passive detection method for single aircraft. Under the condition of incomplete observation information, by introducing the interceptor dynamic characteristic template, the design parameters of flight program model and launch azimuth angle are expanded to target state components. Based on the flight program model and dynamic characteristic template, a nonlinear MMAE model set is constructed. The flight program model and design parameters of the interceptor are identified using the MMAE-UKF algorithm, and the motion state of the interceptor in boost phase is estimated. The simulation results show that the algorithm can quickly and accurately identify the flight program model and design parameters used in the boost phase of the interceptor. Compared with the traditional expanded state filtering algorithm, the motion state estimation error is significantly reduced, and the filtering stability speed is greatly improved.
Modern warfare presents a new form of multi domain cooperation, multi mission concurrence and multi element coupling, which poses new challenges to operational missions planning. The reasonable decomposition and standardized description of complex operational missions is an effective means to improve the scientific nature of mission planning, the efficiency of mission planning and the quality of mission completion. On the basis of the systematic explanation of the concepts related to the decomposition of operational missions, the basic principles of the decomposition of operational missions are proposed. Drawing on the basic idea of the "Hall three-dimensional structure", the strategy of the decomposition of operational missions based on the "time dimension, logic dimension, and activity dimension" is proposed. The standardized description form of the meta missions is defined, and the relationship between the meta missions is described from the three aspects of time sequence, logic, and function. The application case study shows that, the proposed method is feasible and effective for the rational decomposition and standardized description of complex operational missions.
The complexity of modern war is increasing, and the rapid operational mission planning is of great importance to improve the efficiency of command and control. This paper presents a joint operational Task Matrix (TM) model, which is a theoretical method for mission planning. A belief network model is put forward to describe the relationship among the elements in TM model. A naive bayesian learning method for belief network is designed. A mechanism of imagination is put forward to speed up the learning process. A search algorithm named Deep Minimum Threat Generation Tree(DMTGT) is proposed, which can efficiently calculate task priority by balancing search error and search speed. Finally, the validity of above models and algorithms is verified by simulation experiments.
Mission planning of border control operations refers to the process in which the relevant forces of border control make use of the mission planning system to plan and design relevant actions in order to achieve a specific action destination, so as to form a relatively scientific and reasonable action plan. In this paper, strategic analysis is carried out from the subject object, system composition and hierarchy of border control action task planning, and based on the transmission algorithm, the basic process of border control action task planning is discussed.
The materials supply for sea islands is the basis for ensuring survival needs of persons on sea islands. Considering factors such as transportation cost, storage cost, recycling demand and transportation capacity, it is a vehicle path planning problem with time window and capacity limit to use many transportation tools to supply materials for sea islands within a time cycle. The intelligent algorithm provides a preferable solution to solve this complex irregular optimization problem. The paper establishes a mathematical model of mission planning of materials supply for sea islands, explores the solving process of genetic algorithm, and uses an example to calculate it. The optimization result shows that the scheme can save transportation costs and storage costs, and also meet the need of materials supply cycle, which can provide a reference for scientific mission planning of materials supply for sea islands.
Aiming at the problem of "fast and precise" in the optimization of joint fire strike scheme, a cross-entropy-quantum particle swarm optimization algorithm is designed, and an intelligent optimization method of joint fire strike scheme based on this algorithm is proposed. The algorithm fully combines the good global optimization ability of the cross-entropy algorithm and the efficient operation of the quantum particle swarm algorithm. By constructing a discrete probability matrix, the uncertain motion of the particles is more directional and the cooperative optimization ability of the particles is improved. The experimental results show that the intelligent optimization method of the joint fire strike scheme based on this algorithm can effectively improve the optimization effect and optimization efficiency of the joint fire strike scheme, and has obvious advantages compared with the standard cross-entropy algorithm and the standard quantum particle swarm optimization algorithm.
In this paper, the theoretical innovation is made on the traditional fire distribution problem. Considering the actual situation of the ship’s fault, based on the principle of multi-objective optimization, the improved distributed genetic algorithm is used for preliminary solution. And the corresponding fault-tolerant control law is formulated to correct the fault-tolerant strategy, so as to ensure the better fire strike effect and maintain a high fault tolerance. Finally, through simulation experiments, it is verified that this method can converge to the optimal solution quickly, and can reduce the loss to the maximum extent when compensating. It has certain research value for combat.
In view of the urgent need of air defense early warning information system to assess the threat of aerial targets, this paper analyzes the operational scenarios and characteristics of aerial targets. Firstly, eight indicators, such as ammunition type and country, are extracted. A hierarchical indicator system is built through hierarchical division and a quantitative threat scoring model is given for qualitative and quantitative indicators. Secondly, the weight of each index is given based on AHP, and the comprehensive score of aerial targets threat is calculated. Finally, the accuracy and effectiveness of this method are verified in the simulation experiment. The aerial threat assessment results can effectively support the selection of subsequent equipment scheduling strategies and the allocation of anti-air weapons, and have high practical application value.
In the process of the battle between the enemy and us on the battlefield, accurately predicting the deployment of the enemy forces will be beneficial to our combat. Based on the situation data of wargame, this paper proposes a method for predicting the unknown operator position of the enemy by training Graph Neural Networks. Firstly, after preprocessing the data, the transformation from situation to graph structure data is realized, and the graph structure data set of wargame situation is constructed for training Graph Neural Networks. Secondly, according to the characteristics of wargame situation and its data, GraphVAE model is modified to complete the graph structure data of wargame situation. Finally, a method for calculating the position of the enemy operator based on the completed graph structure data is designed. The effectiveness and feasibility of the proposed method are verified by experiments.
In view of the problems existing in the current exam system, such as separation from the command information system and difficulty in carrying out remote group training, a scalable and extensible command training exam system architecture is proposed to provide technical support for integrating and invoking the relevant components of the command information system and carrying out large-scale group training. Firstly, the component integration framework of multi-system integration and the integrated exam course evaluation mode are proposed to realize the assessment of each course including command skills. Then, a multi-level server exam structure is designed. On this basis, through the application of virtualization cluster and other technologies, the rapid deployment of the system under diverse conditions and the large-scale remote group training application is realized.
Based on the analysis of operation system capability testing and evaluation, this paper studies the data resource system of operation system capability testing and evaluation from operation, business and engineering aspects. A 3-View data resource framework is presented. And some suggestions on data resource construction are given. The research can help to clarify the data needs, improve the consistent understanding of joint operation system capability evaluation data, and promote the development of the data resource and data integrated service platform.
Being the important composition, the efficiency of information transmission system affects directly degree of system operational task. Aiming at the characteristics of warship information transmission efficiency evaluation multiple requirements and complex system organization application, the paper applies the method combining technique quantification model and restriction factors. Rounding single link, multiple links and marshalling operations information transmission requirements, the system structure of information transmission efficiency evaluation based on operational task is established, which can offer efficient supplication for warship communication command.
The design and evaluation of exercise training subject is an important part of military training, the quality and effectiveness of military training can be effectively improved by scientific training subject design and reasonable subject design and evaluation methods. In view of difficulty to design exercise training subject and the unscientific evaluation of exercise training subject, the paper analyzes the requirements of training subject design, studies the design method of training subject and training mode based on task, and proposed similarity-based the evaluation method for training subject design. The research results have formed a complete set of training project design and evaluation model, it can provide reference for the army to organize exercises and training.
