Starlink is the only giant constellation in low Earth orbit currently being rapidly deployed. This paper analyzes the advantages and characteristics of low orbit satellite communication and summarizes Starlink construction and system architecture. The Satellite Toolkit (STK) is used to model and simulate 1 584 satellites of the first stage "Group 1". Then, according to the networking mode of Starlink satellite equipped with laser communication payload, Dijkstra algorithm is used to solve the shortest inter-satellite communication link distance between any two Starlink satellites. Thus, the theoretical shortest communication delay is calculated. The average communication delay from Hawaii Camp Smith to the Yokota Air Base is 42.700 749 2 ms. Based on the simulation results, the military application of Starlink in communication is predicted.

This paper analyzes and combs the application and research status of artificial intelligence technology in the field of military intelligence, in order to provide reference for subsequent military intelligence research. This paper summarizes the development and application of artificial intelligence in military intelligence work from the aspects of intelligence analysis and military command decision-making. Based on the intelligence workflow, the military intelligence service model under artificial intelligence technology is analyzed. This paper systematically combs the research and development status of typical projects of intelligent intelligence systems in the United States, and analyzes the key development trends and technical difficulties of artificial intelligence in the military intelligence field.

There are various ways for various services to carry out accusation information interoperability. The establishment of a standardized accusation information interoperability framework can provide a way to solve the problem of diversified and complicated implementation of accusation information interoperability between systems. This paper analyzes and compares three types of design methods, centering on the Battle Management Language(BML), combined with the structural concepts of Service-Oriented Architecture(SOA) and Unified Architecture Framework(UAF). Finally, a directly connected structural framework was chosen to build, and a public service supporting structural framework including six levels of system, technology, resources, service, function and organization, and multiple elements such as ontology model, semantic mapping and model generation is constructed, providing theoretical support for the research on standardization of accusative information interoperability.

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.

It is a prerequisite for the success of amphibious operations to grasp the battlefield situation comprehensively and accurately. Firstly, this paper analyzes the demand of situation intelligent cognition in amphibious operations, then proposes the conceptual framework of situation intelligent cognition. Secondly, it describes its function, effect and major models of each component. The research provides guidance for the development of amphibious combat situation awareness ability to intelligent cognitive ability, and promotes the improvement of system combat capability of amphibious operations in the future.

Starting from the analysis of the distribution of objects in distress and the probability of ideal discovery, the correction factors affecting aerial search, the width of the scan and the searchable range are comprehensively interpreted, and the actual discovery probability, success probability, inclusive probability and cumulative success probability are comprehensively sorted out. It provides effective means and support for the determination of the scope of search and rescue in aviation search and rescue operations and the analysis of the probability of successful search.

The mid-course ballistic flight is the research focus of various missile defense systems, and the development of kinetic energy interceptors has reached the level of refinement and precision, the mid-course penetration technology of ballistic missiles is posing challenges. Aiming at the interception of kinetic energy interceptors and the mid-course maneuver penetration of ballistic missiles, this paper studies a new interceptor-ballistic penetration maneuver strategy, and the successful interception strategy of the interceptor under the non-mobile situation of the ballistic and the successful penetration strategy of the ballistic under the maneuvering situation. An attack-defense confrontation model is constructed in the velocity vector plane of the interceptor and the ballistic. Based on the dynamic principle and singular perturbation theory, two different miss distance calculation formulas are used to determine the success of interceptor or ballistic. The simulation results verify the correctness and effectiveness of the maneuvering model, which has certain reference value.

In combat network, the rational use of information communication support force is related to the efficiency of information flow of the combat network and has a profound impact on the generation of the operational capability. Aiming at the optimization of OODA loop, the requirement of information communication support force in combat network is studied. Firstly, the evaluation standard of OODA operation efficiency is determined, and the network is optimized by using the genetic algorithm based on the characteristics of combat network; According to the degree and clustering of each node in the optimized combat network, the information and communication support force requirements of combat entities and network overall is analyzed. Experiments show that the information and communication support force requirements of combat entities are not only related to their importance, but also affected by entity types. The information and communication support force should meet the construction requirements of the combat network including three types of subnets, including two types of star networks and one type of mesh networks, and the three types of subnets shall be connected in an orderly manner. The above conclusions provide theoretical support for the construction of high-capability combat networks.

In response to the needs of data sharing and exchange in joint operations of allied force, NATO has proposed a multilateral interoperability planning information model (MIM) for the command, control and simulation interoperability domain. MIM serves as the semantic reference model for the core data framework, supporting the development of interoperability specifications and their specific processes. This paper introduces the development requirements and development history of MIM, analyzes the method of MIM semantic information annotation model, summarizes the tools and services of MIM, and research how MIM supports oross-system information sharing as a semantic refernce model from the aspects of applicability and application strategy and specific application examples are given. It provides the basis for the development of the domestic semantic reference model and the data sharing and exchange in the joint operation of the multiple arms of the services.

Aimming at the multitudinous battlefield situation information and the difficulty in recognizing the changing trends, based on large models, a situation awareness agent and an intelligent situation awareness inductive method are proposed. Starting from cognitive concepts and combining the abstractness and embodiment characteristics of agents, three key components in the construction of agents have been clarified: learning environment, memory mode, and knowledge generation mechanism. The architecture of the battlefield situation awareness agent is designed, including memory component, planning component, execution component, evaluation component, and key points for agent training. In the long-term memory component, based on the modeling characteristics of complex battlefield states, the paper discusses the application of large language models, multimodal large models and large sequence models.

Threat evaluation of operational targets is an important link when conducting anti-ship missile combat commands. Working on complicated correlation between the attributes of operational targets and lack of objective data support during subject decision-making, combine entropy weight method and grey correlation method to establish the threat evaluation model, rank the threat of targets according to limited operational indicator data, and obtain the sequence of missile attack, which proves the effectiveness and reasonability of this combined method,and provides theoretical support for the attack preference of anti-ship missiles.

Intelligent network is the product of deep integration of network technology and artificial intelligence technology, which can make the network have the ability of perception, thinking, learning and action. First, it analyzes the requirements of naval equipment for the development of network intelligence, secondly, it introduces the related concepts and standardization progress of intelligent network, introduces the research progress of intelligent network from the aspects of ICT equipment manufacturers, telecom operators, academic research teams, United States navy, etc. Finally, it summarizes the naval network development, discusses and analyzes the intelligent development of the naval network, and provides support for promoting the evolution of the naval network in the direction of high efficiency and intelligence.

In order to solve the problem of dynamic evaluation of operational effectiveness of space-based information support equipment system, this paper presents a method of operational effectiveness evaluation of space-based information support equipment system based on dynamic Bayesian network. Firstly, the data samples are obtained by the operational effectiveness evaluation model of system dynamics, then the dynamic network is established based on the static Bayesian network operational effectiveness evaluation model, and the dynamic Bayesian network operational effectiveness evaluation model is established by EM parameter learning algorithm. Finally, the operational effectiveness of space-based information support equipment system is analyzed. Through this model, the relationship and influence degree of many influencing factors in the space-based information support equipment system are deeply analyzed in the battle scenario of attacking moving ship targets in the sea direction. At the same time, simulation experiments verify the effectiveness and feasibility of this method in the operational effectiveness evaluation of space-based information support equipment system, which can provide solid technical support for the operational effectiveness evaluation of space-based information support equipment system.

Through flexible configuration of warship formation, the Aegis Warship Formation achieves interception and defense of targets in different attack directions. Based on the warship coordinate system and target coordinate system, the detection and interception zone models of Aegis warship formation are constructed. The functional simulation models of guidance radar and SM-3 interceptor are integrated to propose a dynamic simulation modeling method for anti-missile defense of warship formations. The detection directional coefficient and killing directional coefficient are defined, which are used to quantitatively evaluate the directional characteristics of the formation anti-missile defense. The simulations are conducted with a typical case of two-ship Aegis formation, and useful conclusions are obtained. The results can provide support for battlefield offensive and defensive situation assessment.

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.

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.

Aiming at the problem of improving the service quality of space-based information system in joint operations, the concept of precision service of space-based information is proposed. It selects specific combat tasks, and through task decomposition, service modeling, and information modeling, clarifies the relationship between meta-tasks, space-based information services, and space-based information. Through the roles and functions of warfighters in different positions in each combat portal node in combat tasks through analysis, the meta-tasks to be performed by each type of fighters are determined, and then the types of space-based information services they need are specified, and the demand matching of the space-based information precision service system oriented to combat missions is realized.

A three-degree-of-freedom fighter model is established to solve the maneuver decision problem in cooperative air combat, and an extended basic maneuver decision set is designed according to the pilot’s actual operation in air combat. The air combat situation assessment model is established by constructing angle, velocity, distance and altitude superiority functions. Based on group decision making theory, Cook-Seiford decision making algorithm is designed and applied to the research of multi-aircraft cooperative air combat maneuver decision making for the first time, which effectively optimizes the decision flow. Under the initial situation disadvantage, Cook-Seiford group decision algorithm, Copeland and Dodgson group decision algorithm are used to simulate adversarial air combat under typical air combat conditions of 2 versus 2 and 3 versus 2. The simulation results show that the cooperative maneuver decision algorithm based on Cook-Seiford group decision algorithm can effectively obtain obvious countermeasures advantage, which verifies the effectiveness and superiority of the algorithm designed in this paper, and provides a new idea for using the group decision algorithm to solve multi-aircraft cooperative air combat decision.

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 problem of tracking skip-glide targets using radar, this paper proposes an Unscented Kalman Filter (UKF) tracking algorithm based on the improved Jerk model. Aiming at the estimation error introduced by the artificial preset acceleration variance and Jerk frequency of the conventional Jerk algorithm, this method calculates the acceleration variance adaptively through the current position estimation value and the current position one-step prediction value, and correlates the jerk frequency with the acceleration variance, realizing the adaptive adjustment of the model parameters while estimating the target motion state. At the same time, the improved Jerk model is combined with UKF algorithm, and the overall algorithm flow is given, and simulation experiments are carried out. The simulation results show that compared with the conventional Jerk model algorithm, the method proposed in this paper realizes the adaptive adjustment of model parameters, making the tracking process more adaptable to the maneuvering characteristics of the target.

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.

Autonomous underwater vehicle (AUV) is an important part of underwater weapon in naval warfare. Cooperative operation of multiple AUV can improve the operational efficiency and the robustness of the whole system. In this paper,according to the method that the follower obtain the information of the leader, a leader-follower formation control framework based on underwater target positioning method is proposed. A formation controller based on Lyapunov method is designed, the consistent asymptotic stability of the closed-loop system is proved. Finally, the theoretical results of this paper are verified by a simulation case.

In order to study the waveform selection of radar seeker in the terminal guidance and tracking phase, this paper proposes a waveform selection algorithm in the guidance and tracking process of cognitive radar seeker. Firstly, we establish the processing flow of radar seeker waveform selection by combining the seeker guidance and observation filtering models; Secondly, we use the interactive multiple model unscented Kalman filter (IMMUKF) algorithm to solve the nonlinear tracking problem. We minimize tracking error by searching for waveform parameters based on the maximum mutual information criterion. The simulation results show that the waveform selection algorithm can effectively improve the seeker tracking accuracy and provide stable guidance overload.

It is a trend that the function of software radar system is defined by software in the future. However, it requires high-level computing performance of system hardware and data transmission bandwidth. In this paper, heterogeneous parallel high performance computing technology is introduced into the field of software radar. According to the system function logic, the hardware platform system of software radar is constructed, and a specific general hardware platform architecture is designed based on an advanced heterogeneous parallel computing technology. In this platform, an independent high-speed acquisition card is used to complete the acquisition and A/D (Analog-to-Digital) conversion of echo signals. FPGA blade heterogeneous servers are used to complete the real-time radar signals process. In addition, GPU heterogeneous supercomputers are integrated to realize data processing and display control. InfiniBand network and disk array provides for high-speed data transmission and storage. Through performance analysis, the hardware platform can achieve the modern radar’s performance requirements of in computing speed and transmission bandwidth.

Based on the problem that considerable ballistic error and inaccurate target coverage of terminal-sensitive projectiles while fighting without weather conditions causing the reduction of combat effectiveness and/or even can’t complete combat tasks, this work elaborated two commonly used solutions and methods. According to the real working experience of the test range, a new proposal of using the meteorological forecast data to calculate the ballistic elements of the terminal-sensitive projectile was studied. Furthermore, the deviation between the ballistic landing point and the test landing point under various environmental factors such as standard meteorological conditions, meteorological forecast data and actual meteorological data was analyzed using numerous testing data and ballistic simulation results, which indicates the accuracy and reliability of meteorological forecast data in the terminal sensitive projectiles range and side deflection prediction. In summary, this study proves a theoretical reference for improving the combat effectiveness of terminal-sensitive projectiles under real combat environments, and also provides convenience for the development of terminal-sensitive projectile tests.

Aiming at the application requirements of the semi-physical simulation environment of the generic interface in the aviation field, on the basis of the construction of the virtual integration and simulation verification platform, the construction method of the semi-physical simulation system based on the ARINC664 interface adapter is proposed. Taking the working principle of the ARINC664 interface adapter as the traction, the design principle and method of the semi-physical simulation system are clarified, the semi-physical simulation verification environment is built, and the system is verified and tested based on the hardware-in-the-loop simulation scenario of the Beidou positioning processor, and the results show that the design and implementation of the system are correct and reasonable.

As a typical cyber-physical system (CPS), ship system, with the continuous improvement of its informatization degree, CPS information security incidents occur frequently. Most of the existing key node identification methods for complex networks are aimed at power system networks, and the evaluation indicators based on these networks are difficult to apply to CPS networks outside the power system. Aiming at the shortcomings of the existing key node identification methods in CPS, this paper proposes an information network key node identification method based on entropy weight method and FMEA. The concept of effective influence range is added to the indicator characterization of failure mode and effects analysis (FMEA), and the entropy weight method is used to objectively weight the indicators in FMEA. Combined with the risk sequence number in the FMEA with strong subjectivity, the three evaluation indicators in the risk sequence number are used as the indicators of the decision matrix in the entropy weight method. Finally, the correctness and feasibility of the method are verified by the case of ship support mission information flow node network. The analysis results show that the comprehensive weighted ranking of the three indicators based on the entropy weight method is more reasonable than a single indicator.

Focus on the poor navigation precision when the aircraft suffers from the loss of satellite signals, the navigation method of the Synthetic Aperture Radar (SAR) platform based on Inertial Navigation System (INS), satellite positioning and scene matching is proposed. First, the corresponding equations of measurements are formed by the models of the INS, satellite positioning and scene matching points, respectively. And then applying the Kalman Filter (KF), the corresponding filter processes are established according to the different equations of measurements. The Extended Kalman Filter (EKF) is used to linearize the equations of satellite positioning and scene matching measurements. The proposed method can be executed when the satellites are not enough to provide the positioning information of the aircraft. In numeral simulations, when the satellite signals are partially missing, the proposed method can obtain lower absolute positioning errors than the INS and satellite-based method, and the proposed method obtains better precisian than the INS and satellite-based method when the satellite signals always exist. The simulation results prove the effectiveness and the superior performance of the proposed method.

A reasonable and accurate evaluation of the performance of UUV clusters is of great significance for the selection and optimization of UUV clusters. Communication performance is one of the important performances of UUV clusters. Information transmission occurs in all aspects of UUV clusters operation. Communication quality directly affects the performance of the entire UUV clusters. This paper studies the evaluation method of UUV clusters communication performance, establishes the communication performance evaluation index system, determines the acquisition method of each index parameter, and calculates the weight coefficient of each evaluation index by using the relative comparison method. On this basis, the communication performance of the 5-type UUV clusters is evaluated based on the ideal point method. The evaluation results show that the method is simple in modeling, fast in calculation, and obvious in discrimination.

Strategic evaluation is the key link of military strategic system and capacity building. Selecting and evaluating the system construction scheme can optimize strategic decision-making and improve strategic management level to a certain extent. This paper constructs an intelligent selection analysis framework of "prospect cost" system construction scheme based on MATE, and uses NSGA-Ⅱ intelligent optimization algorithm to find the Pareto front of alternative scheme in multi-dimensional tradeoff space, which improves the problem of large data volume. Taking a joint operation system as an example, the effectiveness of the proposed method is verified, providing theoretical support for the optimization and evaluation of system construction scheme.

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.

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 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 this paper, the key technologies of multi-radar network and cooperative detection are studied in order to meet the urgent needs of radar network operations in the future strong countermeasure environment. Firstly, the operational capability requirements of radar network are introduced. Secondly, based on the traditional tree hierarchical structure of radar network, the new distributed network architecture is given. Finally, the key technologies of radar network information distribution and sharing, intelligence fusion processing, autonomous cooperative detection and system feedback control are studied. This paper will promote the updating of the concept and the development of the domain technology of the multi-radar network, and will promote the iterative upgrading of radar equipment and intelligence systems.

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.

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.

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.

Military regulations are of great significance to modern military operations. However, consulting the texts is inefficient and error-prone. A military legal question answering system is constructed by integrating retrieval and knowledge graph technologies. The optimized TF-IDF model is used to establish a data structure for the hierarchical retrieval of laws and regulations to improve the efficiency. Knowledge graph technologies are used to generate a large amount of knowledge for the clauses of laws and regulations, ensuring the ability of question understanding. According to the characteristics of military laws and regulations, the algorithms of question processing and clause retrieval are designed, and the complete answer is composed of a short answer, clause content and an answer source. Analysis and testing show that the underlying data constructed is highly hierarchical and semantically rich. The prototype system can accurately answer questions from multiple perspectives, and it combines the advantages of retrieval and knowledge graph technologies. The system can provide decision aid for the commander to deal with legal problems, and the technologies are also applicable to regulations in other fields.

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.

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.