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
Operational concept is an important manifestation of joint operation and an important driving force for the construction and application of new combat forces. In response to the rapid transformation of the war form, the innovation of operational concept based on solely writing cannot meet the needs of future operations. It is urgent to scientifically standardize the development of operational concept from an engineering perspective. On the basis of deeply analysis of the current research status of operational concept development at home and abroad, three typical requirements for describing, designing and verifying operational concept development are scientifically summarized. A operational concept development framework with four-layer and six-segment architecture is proposed and the main content, internal logic, basic processes, methods and tools of the development framework are analyzed in detail to provide a framework reference for developing specific operational concept.
Aiming at the intelligent design of combat systems, we propose a conceptual framework and application methods of Agent based on artificial intelligence technology. First, we analyze the concept of Agent and discuss the important significance of studying Agent in the combat system. Then, we introduce the research framework of artificial intelligence based on Agent, and multiple application methods of Agent in combat systems. Finally, we analyze the development trends of Agent technology and the risks and challenges that its combat applications may face.
In order to solve the problems such as low hit rate, difficult evaluation of underwater combat effectiveness and single working mode of the aviation homing depth charge in combat and training, this paper proposes a design of a buoy-type aviation homing depth charge which adds floating air bag, release cable, radio transmitting and receiving device to the structure of the ordinary aviation homing depth charge. It’s helpful to improve the submarine search probability of depth charge, increase efficiency evaluation means, flexible control working mode, and efficient handling of special situation, etc. This paper also introduces its structure and work flow, four key technologies such as surface floating technology, data transmission technology, data cable technology, remote control technology, are analyzed, and its application prospects are prospected, which can provide reference for the development of aviation homing depth charge.
Considering that there are many equipment and complex technologies in some remote regions, it is difficult to carry out equipment maintenance and support efficiently, due mainly to many disadvantages, e.g., inconvenient transportation, harsh natural environment conditions and etc. The characteristics of equipment maintenance and support mode in the remote region are analyzed, innovatively constructing a remote equipment maintenance support system architecture guided by state based maintenance. An autonomous maintenance and support platform for equipment in the remote region with fault prediction and health management as the core is designed, which optimize the maintenance and support process for equipment in remote areas, improve timeliness and completeness. It provides an applicable and sustainable full life cycle guarantee model for the construction and upgrading of equipment maintenance and support system in remote areas.
Based on the actual process of dipping sonar in on-call submarine searching, combined with the classic extended spiral search method, a multi machine dipping sonar on-call submarine searching model was established. A submarine motion model was built based on the possible avoidance measures that submarines may take during the on-call submarine searching. We calculate the variation of detection probability of suspended sonar with response time and response distance of dipping sonar. Moreover, we also analyze the military force requirements of dipping sonar for submarine search under different response time and response distance of dipping sonar. So the obtained relevant conclusions can provide theoretical basis for tactical decision-making of anti-submarine helicopter response submarine search.
Aiming at the problem of strong distribution regularity of false targets in traditional repetitive repeater deception jamming, this paper proposes a variable pulse width smart jamming method based on intermittent chaotic sampling from the perspective of changing the amplitude and position distribution of false targets. Firstly, the mathematical model of repeater deception jamming is deduced, and the reason of strong distribution law of false targets is explored. Then, the chaotic sequence fusion method is designed, and the fusion chaotic sequence is proposed to realize the purpose of non-uniform forwarding and destroy the amplitude regularity of the false target. Finally, the range of interference energy distribution is expanded by dexterous noise convolution modulation, and the position distribution of the false target is changed. The simulation results show that compared with the traditional repeated forwarding interference, the false target distribution law of the new interference pattern proposed in this paper is obviously destroyed, and it has better interference effect.
Radar system error registration is a prerequisite and foundation for radar networking. For radars with long detection distances, their measurement errors in the detection space exhibit obvious non-uniform distribution characteristics, which causes traditional system error correction methods to be difficult to solve the error correction problem. In response to the non-uniform distribution characteristics of radar system errors, this paper proposes to divide the radar detection space into several small intervals, in each of which the system errors can be considered as a fixed value. At this time, the iterative closest point algorithm can be used to calculate the radar system error in each interval, and finally a system error compensation matrix is formed for the entire detection space, thereby achieving accurate correction of non-uniform distribution system errors. The effectiveness of the proposed method is verified by the experimental data.
For multi-platform bearings-only cross location and tracking problem in distributed multi-function sensors, a target tracking management method based on asynchronous bearing only is proposed. The distributed multi-function system requires only one integrated sensor to switch to electronic support measure (ESM) mode within each tracking cycle to update the angle measurement information of target radiation source, while the other integrated sensors still work in the original planned mode and task. Compared with traditional cross location tracking method, the proposed asynchronous bearing only tracking method can improve the capability of the distributed integrated system with multiple functions such as reconnaissance, jamming and active detection at the same time in order to cope with the complex combat environment.
Intelligent game adversarial algorithms not only make full use of the portrayal accuracy of the game model, but also solve the equilibrium solution through the powerful computational ability of neural network and the trial-and-error mechanism of reinforcement learning, which makes the intelligent game adversarial algorithms achieve good results in many fields. Through the multi-intelligence body game learning, multi-intelligence body game reinforcement learning and multi-intelligence body game deep reinforcement learning three levels of intelligent game confrontation algorithm is systematically sorted out, and the corresponding mapping with the intelligence field of work, demonstrates the feasibility and necessity of intelligent game confrontation algorithm in the field of intelligence, and finally gives the specific application of the intelligent game confrontation algorithm in the field of intelligence and the effective measures of the follow-up to improve the quality and efficiency. Finally, it gives the specific application of intelligent game confrontation algorithm in the field of intelligence, as well as the effective measures to improve the quality and efficiency.
Aerial imagery can provide rich geographic information. As an important ground object information, quickly and accurately extracting buildings from aerial images can achieve target monitoring, location positioning, and further enrich specific geographic information in a given area. To address the issues of segmentation result merging and irregular contour lines in semantic segmentation algorithms for building extraction, an improved model based on DeepLabv3+ for aerial building extraction is proposed by improving the feature fusion structure, constructing a comprehensive loss function, and incorporating an improved Douglas Peucker algorithm. Experimental results show that the improved model achieves an IoU of 0.794 on the test set, a 14.7% improvement compared to the original model. It effectively avoids the problem of merged segmentation between neighboring buildings and results in more regular segmentation boundaries, enabling more accurate extraction of the building contours.
A preview control technique based on visual perception is proposed to address the body vibration problem generated by the semi-active suspension system when driving on typical discrete road surfaces. Firstly, by merging YOLOv5 target detection and stereo vision technologies, typical road surface properties and distance information are obtained in real time. Secondly, a semi-active suspension control system incorporating preview fuzzy feed-forward and Active Disturbance Rejection Control feedback is devised based on current vehicle condition information. Finally, Matlab/Simulink simulates tests with realistic discrete road conditions. The experimental findings demonstrate that the visual preview control technique may greatly increase the semi-active suspension system’s damping performance, which in turn improves the vehicle’s handling stability and ride comfort.
Aiming at the situation of unstable control and high error during recoil compensation control of gunship borne automatic weapon, the recoil compensation control algorithm of gunship borne automatic weapon is proposed. According to the specific firing conditions of airborne automatic weapons, combined with the internal and external factors that affect the recoil of weapons, the force analysis is carried out. Meanwhile, the attitude parameters of gunship, including coordinate parameters and attitude Angle parameters, are calculated. On this basis, the control model of gunship is established, corresponding controller is designed, nonlinear interference observer is introduced, and adaptive control law is designed. The recoil compensation control of airborne automatic weapon is realized. The experimental results show that the proposed recoil compensation control algorithm has small control delay, can respond to compensation control changes in time, and has small control error. The overall fault tolerance of the control algorithm has been improved.
This study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments. We utilize an improved dark channel dehazing method and guided filtering for image preprocessing to improve the accuracy and efficiency of subsequent image processing. In terms of target detection, the YOLOv7 algorithm is used, which effectively improves the accuracy and recall rate of target detection by optimizing the loss function. In order to achieve accurate multi-target tracking, combined with self-trained model weights and Sort algorithm, continuous tracking of targets and accurate annotation of center point trajectories are successfully implemented. In addition, a binocular camera system is built on an unmanned ship platform for target ranging. Experimental results show that our method can achieve the ranging function with an average relative error of 6.46%. This result not only improves the navigation and positioning capabilities of unmanned ships, but also provides technical support for water surface safety monitoring. This research demonstrates that in the field of surface unmanned ships, target detection and tracking problems can be effectively solved by integrating advanced image processing technology and machine learning algorithms.
In the sea test range, the accurate measurement of the landing point of weapons and equipment is the key issue to assess the strike accuracy. In order to improve the accuracy measurement of the landing point of weapons, this paper studies the long baseline (TDOA) landing point target positioning technology, and analyzes the positioning accuracy and simulates the location of the landing point target based on the landing point measurement scenario. The design index of the actual test verification system in the deep sea area of the South China Sea is analyzed, and the test results prove that the system can display the position of the falling target in real time and has relatively high precision positioning results, which provides technical support for the accuracy measurement of the falling point of weapons and equipment.
The task assignment method for a large group of unmanned surface vessel (USV) is an important research problem in the field of autonomous unmanned system. Appropriate task assignment schemes will facilitate USV formation for quick decision making and efficient execution. Existing methods rarely take the attitude of USVs and their dynamic equations into considerations. This article first established a model of attitude-based task assignment problem for USV formation; next, by linking the model to the optimal transport problem on the manifold, we obtained its discrete form; finally, our simulation experiment demonstrates the necessity of considering attitude-based task assignment problem for USV formation, and the effectiveness of the method proposed in this paper.
A exploratory experimental method based on spatial dimensionality reduction and Fuzzy Comprehensive Evaluation Method is proposed to quickly and efficiently determine the optimal solution for the studied problem, taking the study of formation schemes in manned/unmanned aerial vehicle collaborative operations as the starting point, in response to the potential “Curse of Dimensionality” that may arise when using combat experimental methods for scheme evaluation in the context of joint operations. Based on the scenario of joint air force interception and annihilation of enemy sea and air forces, exploratory experimental methods are used to analyze the optimal plan for manned/unmanned aerial vehicle formation and verify the effectiveness of this method.
In order to explore the future development strategy of telemetry system, a research on the development strategy of telemetry system is conducted based on the SWOT-AHP model. Firstly, based on the structural characteristics and functional attributes of the telemetry system, the advantages, disadvantages, opportunities and challenges of the telemetry system, the qualitative and quantitative analysis provides the optimal development strategy. The results show that the telemetry system development priorities the SO strategy, and thus formulates the long-term plan of the telemetry system development strategy, so as to provide a reference for the upgrading and transformation and frontier deployment of the telemetry system.
In order to guide and optimize structural design, this paper proposes a numerical simulation method for quickly predicting the mechanical test performance of marine electronic cabinets. According to the structural mechanics test standard of marine electronic equipment, the mechanical test simulation analysis of a type of marine electronic cabinet is carried out. Firstly, the finite element model of the electronic cabinet is established by ANSYS. Secondly, based on finite numerical solution method, the modal frequency, sine sweep vibration response, bumping response and shock response of the cabinet were obtained. Finally, according to the calculation results, the strength of the cabinet is checked, and the mechanical reliability of the cabinet is analyzed. The results show that the stresses near the right angles at the top and bottom, side boss and the right angles at the back are relatively high, but they are all lower than the maximum allowable stress of the cabinet, and the cabinet can work reliably under various test conditions. The modeling and analysis method presented in this paper can provide a good reference for the mechanical analysis of similar electronic equipment.
Information acquisition is the prerequisite for command decision-making. In the era of big data filled with massive information, the useful information is submerged in useless information. How to efficiently obtain the useful information needed by command personnel is the key to improve operational command effectiveness. The author uses the information automatic recommendation algorithm, on the basis of the information requirements proposed by the commander, extracts the useful information and automatically recommends to commander based on the text similarity. It can effectively improve the timeliness of information acquisition and command decision-making, and thus improve the effectiveness of combat command.
It is a prerequisite to conduct the person-job matching evaluation for human resource management. The existing matching evaluation models mostly adopt the fixed weight method, and ignore the differences in the personnel structure of different units, and cannot adapt to the coarse and fine changes of the resolution granularity caused by compiled data. Therefore, a multi-granularity variable weighting evaluation model is constructed. Firstly, for the ambiguous data of resource allocation and person-job matching, the comprehensive index method is applied to extract four main factors: job position, grade, expertise, and quantity. A unit’s technological level evaluation index is proposed, classifying units into three categories: specialized efficiency-oriented, quantity scale-oriented, and hybrid models. By applying the coefficient of variation-G1 method, a variable weighting expression for the matching degree index of different unit types is formed, thus constructing a coarse-grained variable weighting evaluation model. Secondly, for fine-grained resource allocation and person-job data, considering the differences in grade, expertise, job position, and other aspects, the impact of different factors such as grade, expertise, and job position on weights is quantified. The concept of "matching deviation" is proposed and defined to comprehensively evaluate person-job matching. It leads to the construction of a fine-grained evaluation model. Finally, the evaluation under different resolution granularities is realized according to the real data. It verifies the effectiveness of the method model.
In order to meet the requirements of sensitivity analysis in the design of helicopter reconnaissance indicators, based on the logistic regression method in machine learning, the reconnaissance capability index system of helicopter system contribution evaluation is established. Firstly, the basic steps of sensitivity analysis of helicopter reconnaissance indicators based on machine learning are introduced. Secondly, sensitivity analysis of helicopter reconnaissance mission effectiveness is achieved through task planning, constructing indicator systems, collecting relevant data, evaluating effectiveness, and using machine learning algorithms for modeling and training. This study can provide reference for the sensitivity analysis of helicopter task efficiency and provide more scientific and reasonable support for the development and application of helicopters in the system.
The evaluation of intelligent combat effectiveness is an effective means for the demonstration and development planning of intelligent unmanned technology and equipment systems. Building a scientific and reasonable evaluation index system is the primary prerequisite for conducting intelligent combat effectiveness evaluation. The current status of technology for constructing operational effectiveness evaluation index systems are analyzed both domestically and internationally. A method for constructing intelligent operational effectiveness evaluation index systems that combines mechanism analysis and data mining is proposed. Key technologies such as the framework construction of intelligent operational effectiveness index systems and the measurement of cognitive domain index attributes are analyzed, providing theoretical reference for constructing a universal intelligent operational effectiveness evaluation index system.
The "21st Century Maritime Silk Road" is a new trade road linking China and other countries in the world in the new era, promoting the development of Asia Pacific integration. With the increase of China’s investment in the "21st Century Maritime Silk Road" countries, its security is influenced by factors such as major country games, regional conflicts, and social instability, and also bringing great uncertainty to investment safety. Therefore, a reasonable assessment of investment security risk of the "21st Century Maritime Silk Road" is an important basis for ensuring investment security. In this paper, the investment security risk assessment index system is constructed comprehensively based on great power influence, state behavior and state interaction. Aiming at the uncertainty of the assessment index, hesitation degree distribution function of institution fuzzy set is established. The score function and distance measure of intuitionistic fuzzy set are improved, and the quantitative assessment model of investment security risk is constructed by combining TOPSIS method. The investment security risk in 27 countries along the "21st Century Maritime Silk Road" was experimentally verified, and the ranking was finally obtained based on different risk attitude of decision maker, which provided reference for the decision-making of the "21st Century Maritime Silk Road".
Aiming at the problem of insufficient fast and effective methods for the equipment contribution rate evaluation,this paper revolves around the requirements of the equipment system demonstration and evaluation, proposes an contribution rate evaluation method based on the combat capability analytical calculation of equipment system according to “mission-ability-equipment” train of thought.Through effective modeling of the mapping and aggregation relationship for equipment performance-system function-combat capability, this method calculates the combat capability of equipment system quickly and effectively based on the equipment performance parameters and system composition, and evaluates the contribution rate of the newly developed equipment to the improvement of the equipment system combat capability. Meanwhile, the simulation evaluation method was used to verify the results for the feasibility of this method according to the typical fight scenario. This research can provide reference for equipment demonstration and evaluation, and provide auxiliary support for equipment system planning.
