54 results about "Command and control systems" patented technology

The invention discloses a command and control system resource trend prediction method based on fusion of long and short time sequence characteristics. The method comprises the following steps: acquiring a public power load or similar time sequence monitoring data set, and preprocessing the data in the data set; a deep learning network model based on a TCN-Transformer hybrid model is constructed, a TCN model and a Transformer model are adopted for parallel computing to achieve feature extraction, the TCN model extracts short-term information, the Transformer model extracts long-term features, then fusion features are obtained through a cross attention mechanism and multi-layer perceptron (MLP) weighting, and finally prediction output is generated through full connection layer mapping. Taking data in the training set as input, training the constructed TCN-Transform hybrid model, and continuously optimizing the model until convergence meets a set requirement; and performing prediction by using the trained network model. According to the method, the TCN-Transform hybrid model is constructed, so that local fine-grained features are reserved, the global time trend is effectively captured, and the accuracy of command decision making is improved.

The invention relates to the technical field of action analysis, in particular to a laser targeting training management system which comprises an immersive training environment module, a biological characteristic analysis module group, an intelligent trajectory management module group, a federal learning center module group, a tactical training management module group and a command and control system module group. Compared with the limitation of lack of battlefield dynamic complexity simulation by adopting a static preset scene in the prior art, the scheme deeply integrates multi-physical field environment control, intelligent target dynamic coordination and a cross-sensory feedback technology to construct an immersive battlefield space with temperature and humidity gradient adjustment, explosion shock wave simulation and geographic space accurate reconstruction linkage; therefore, multi-dimensional collaborative transition from single-dimensional visual simulation to tactile sense / auditory sense / olfactory sense / somatosensory is realized, so that soldiers can obtain subversive environment adaptability and tactical decision-making ability exercises in a comprehensive battlefield pressure environment close to reality.

According to the unmanned aerial vehicle group intelligent command and control system based on the large model, the multi-modal input data is obtained through the data processing module, the multi-modal input data is processed to obtain the command data and the task data, the task plug-in is called according to the command data, and the task data is processed through the task plug-in to obtain the return data; the target information is displayed on the man-machine interaction module according to the returned data; receiving a task instruction generated according to the target information, and calling a task plug-in according to the task instruction to control the unmanned aerial vehicle group to execute the target task; the man-machine interaction module is used for receiving and displaying target information, the data processing module is used for understanding input instructions, integrating and calling plug-ins, integrating and outputting processing results and the like, and the task plug-ins are embedded into the data processing module and have specific task processing capacity. The intelligent interaction convenience of the large model and the professional ability of traditional task processing are combined, and the command control efficiency is high.

The invention discloses a dynamic decision-making method based on Riemannian geometry geodesic optimization. The dynamic decision-making method comprises the following steps: step 1, defining a Riemannian manifold and a measurement corresponding to the Riemannian manifold; step 2, calculating a geodesic line between two points on the manifold by using Riemannian metric; and step 3, implementing a Riemannian gradient descent algorithm, and dynamically adjusting the position of the decision node on the Riemannian manifold. Through a method based on Riemannian geometry and in combination with a global command and control system, variable battlefield environments can be effectively dealt with, the decision making speed and quality are improved, efficient collaboration of strategic and tactical levels is ensured, and the system not only optimizes the execution efficiency of a single task, but also improves the task execution efficiency. And dynamic optimization and adaptability of overall combat command are ensured through continuous algorithm iteration.

The invention provides a real-time simulation method, device and equipment based on multi-domain situation awareness and a storage medium, and the method comprises the steps: firstly obtaining data sources of a plurality of combat domains, and carrying out the preprocessing of the data source of each combat domain; wherein the data source comprises land domain data, sea area data, airspace data, sky domain data and network domain data; fusing the preprocessed data sources of the combat domains to generate unified multi-domain data, and constructing a simulation model based on the unified multi-domain data; experimental factors are obtained, the experimental factors are used for constructing multiple experimental schemes through an orthogonal test, the multiple experimental schemes are input into the simulation model to generate key indexes, and the key indexes comprise combat target achievement conditions, military strength consumption, combat time and resource consumption; and dynamically optimizing the key indexes, and outputting a combat decision scheme which can be used for reference of a command and control system. The problem that the decision of a command and control system is affected due to insufficient simulation precision is solved.

The invention belongs to the field of unmanned surface vessels, and discloses an unmanned cluster defense control platform and method based on a mooring aerial vehicle, and the platform comprises an aerial vehicle and unmanned vessel flexible cooperative control module, and an intelligent decision and tactical optimization module. The aerial carrier and unmanned ship flexible cooperative control module is used for constructing a closed command and control system independent of a wireless network on the basis of a mooring type coupling control technology, and the unmanned ship-unmanned aerial vehicle rigid connection requirement in a marine high dynamic environment is met; and the intelligent decision and tactical optimization module is used for constructing a virtual-real mapping marine combat experiment field based on a digital twin confrontation deduction technology, restoring a complex marine environment and a confrontation scene through digital modeling, and forming a closed-loop capability improvement mode.

The invention provides a node clustering method based on communication network connectivity analysis, and belongs to the technical field of network analysis. The method comprises the following steps: constructing a graph model according to input nodes and a connection relationship thereof, wherein the construction of a graph supports a single network or multi-network relationship; traversing each node in the graph by using a depth-first search algorithm, recording an access path, and classifying the nodes with a communication relationship into the same communication component; and outputting a set of all connected components. According to the method, when the graph is constructed, topology analysis of various network conditions in the undirected graph is supported by dynamically judging the nodes and the neighbor relation of the nodes. The method has the advantages of low calculation complexity and high expansibility, is suitable for the fields of network communication, equipment connectivity check, complex command and control system information transmission modeling and the like, and provides an efficient and accurate solution for connectivity analysis.

The invention discloses a distributed intelligent space defense combat adaptive system architecture, which relates to the technical field of command and control and comprises a distributed node deployment and networking system, a distributed situation intelligent sensing system, an adaptive decision system and a joint global command and control system. According to the distributed intelligent air and space defense combat adaptive system architecture provided by the invention, resources are effectively integrated through the distributed node deployment and networking system, the adaptive decision making system and the distributed situation awareness system, so that a highly integrated combat system is formed; through combination with the global command control system, cross-domain and cross-platform command control is realized, and the collaboration and consistency of combat actions are ensured.

The present invention provides a command and control system and method for launching a satellite at sea, belonging to the fields of information management, command and control, and automation technology. The information resources of a launch platform, a command ship, and a shore base are connected together based on a wired / wireless network communication module, a time-space reference module, and a computing and storage module. The surrounding environment and target information are obtained through an ocean environment perception and shipboard monitoring module and an air-sea target perception and control module. A comprehensive situation is generated through a comprehensive situation generation module. The status information of rockets, satellites, launch platforms, personnel, etc. is obtained through a satellite launch telemetry external measurement module and a platform monitoring and comprehensive management module. Abnormal events are discovered through a command information support module, thereby forming an integrated command and control system for launching a satellite at sea with highly coordinated work among the launch platform, the command ship, and the shore base. The present invention also provides a method for commanding and controlling by using the above system, which can realize efficient, safe, and continuous launching of satellites at sea.

The invention relates to a design method and a control system and method of an unmanned aerial vehicle command and control large model, and belongs to the technical field of command and control. In order to solve the problem that an existing command and control system depends on a traditional rule-based or manual programming method and is limited when processing complex tasks, the method for controlling the unmanned aerial vehicle through the unmanned aerial vehicle command and control system comprises the following steps that task texts are input into an unmanned aerial vehicle command and control large model, and a MavLink format instruction is generated; according to the method, unsafe instructions are corrected, executable unmanned aerial vehicle tasks are planned into a behavior tree, flight and task execution of the unmanned aerial vehicle are controlled, the powerful language understanding and generation capability of LLama3 is utilized, the intelligent level and performance of an unmanned aerial vehicle command and control system are improved, and the task execution efficiency and success rate of the unmanned aerial vehicle are improved.

The invention belongs to the technical field of unmanned aerial vehicle control, and relates to a control system and method for a ground map of an unmanned aerial vehicle command and control system. Comprising a hardware part and a software part. The hardware part comprises a computer, a display, a switch, an operating lever and a power supply; the software part comprises map software and control software, the unmanned aerial vehicle ground map control method without being separated from the rod is invented through the specific sequence operation design of the operation rod, and the problem that an operator is inconvenient to operate by changing the sitting posture under the condition that the operator must manually control the map is solved. The method has good economical efficiency, optimization of an existing unmanned aerial vehicle map operation mode can be achieved only through software change, the design thought is simple, the change amount is small, and optimization and improvement of existing mature products can be met.

The application discloses a general data analysis method for unmanned aerial vehicle ground command control system, which can be used for constructing monitoring software in large unmanned aerial vehicle ground command control system. Mainly includes the following steps: (1) sorting and classifying parameters in current mainstream unmanned aerial vehicle communication protocol; (2) extracting characteristic attributes of various parameters and formulating a general parameter table writing method; (3) writing general data processing methods for each type of parameters in step 1; (4) for newly developed unmanned aerial vehicle ground command control system, writing parameter tables according to the general parameter table writing method; (5) analyzing data in the monitoring software combined with the parameter tables and the general analysis method to obtain results. The general data analysis method for unmanned aerial vehicle ground command control system greatly improves the code reusability, shortens the development cycle, reduces the software development cost, and improves the professional and easy operation of the parameter analysis function of the monitoring software.

The present invention relates to the technical field of fiber optic gyroscopes, and particularly to an online alarm method for open-loop faults in a closed-loop loop of a fiber optic gyroscope, which includes the following steps: S1, collect the operation data of the closed-loop loop of the fiber optic gyroscope; S2, perform signal feature analysis based on the operation data of the closed-loop loop. If the result of the signal feature analysis shows that there is only a DC component, it is determined that there is an open-loop fault in the closed-loop loop of the fiber optic gyroscope, and go to S3; otherwise, return to S1; S3, replace the rotational angular velocity information sent to the navigation system with the open-loop fault information of the closed-loop loop. The present invention can, when an open-loop fault occurs in the closed-loop loop of the fiber optic gyroscope, promptly inform the navigation system, enabling it to avoid giving incorrect attitude information, thereby preventing the command and control system from issuing incorrect commands, and can, to a certain extent, avoid economic losses and even casualties.

The invention provides a storage, transportation and distribution integrated unmanned aerial vehicle distribution comprehensive guarantee platform, which comprises two groups of unmanned aerial vehicle autonomous take-off and landing platforms, an intelligent goods shelf, a container carrying manipulator, a battery replacement manipulator, a battery rack and a command and control system, and is characterized in that the unmanned aerial vehicle autonomous take-off and landing platforms are arranged above a vehicle cabin and are connected with the side wall of the vehicle cabin; a container positioning and locking mechanism is arranged on the intelligent goods shelf and fixed to the bottom of a vehicle cabin. The container carrying manipulator is fixed at the bottom of the vehicle cabin; the battery replacing manipulator is arranged on the opposite side of the container carrying manipulator; the battery rack is fixed at the bottom of the vehicle cabin; the special vehicle is used as a carrier, the functions of unmanned aerial vehicle storage, energy supply, task planning and on-site take-off and landing are integrated, full automation of goods circulation in the platform is achieved, and the single-time operation range and the overall distribution efficiency of the unmanned aerial vehicle are greatly expanded.

The present invention discloses a message management method and management system for a command and control system of a mobile cabin vehicle, which relates to the technical field of mobile cabin vehicle data management, and includes: classifying, merging and encapsulating the collected data to form various data blocks; sending a data update signal to the management systems of relevant departments, and copying and distributing the data blocks according to the number of data acquisition instructions received; in the waiting transmission queue of the department management system, when a new data block arrives, a merge judgment is triggered, and whether to execute a priority judgment is determined according to the merge result to adjust the transmission order; when the data block reaches the head of the queue, a block judgment is executed according to the usage of the transmission channel to execute the first block judgment strategy or the second block judgment strategy; both block judgment strategies select the transmission method with the principle of minimizing the transmission time to ensure the efficient and orderly transmission of messages, and improve the data processing and communication efficiency of the command and control system of the mobile cabin vehicle.

The application discloses a kind of command and control system safety risk assessment methods based on linear influence.First, the physical connection diagram and information flow diagram of command and control system are established, and the bottom map is aggregated to form the bottom map of causal diagram in layers;Non-causal relationship in the bottom map is eliminated from the opposite direction of the form of spanning tree to the cause transmission;An index abstraction system is established, and the resource nodes in the causal diagram are decomposed into index nodes;Input system operation raw data is normalized and data interpolation processed;The linear relationship of abnormal node to each path on the subnode is calculated by least square estimation;After traversing all paths of abnormal node, the influence degree of abnormal node on each path is calculated;The influence degree of abnormal node on subsequent nodes, influence domain range and alarm level are output.The method can effectively calculate the influence result of abnormal node under different risk scenarios, improve the reliability and safety of command and control system.

System-of-systems architectures and methods for dynamically and adaptively managing and executing a command and control system across a global cyber enterprise are provided. The system-of-systems architecture integrates, synchronizes and executes with kinetic operations employing an adaptive and dynamic mixing and matching of capabilities for optimal effects in near real time so as to measure and maximize effects across the global cyber enterprise. The methods incorporate execution of a Cyber Operations “CyberOps” Chain of interlocking management cycles for the integration with a kinetic “Kill Chain” to optimize cyber / kinetic integration and mission outcomes. An analytical and software framework enables the on-demand formation of mission-specific dynamic cell groups from various cells stretching across the global cyber enterprise in response to ever-changing faces of cyber threats.

The invention relates to the technical field of intelligent security and emergency command, and discloses a large-screen dynamic command and control system based on an emergency security scene, which comprises a sensing and standardized access module, a dynamic SOP map engine module, a space-time resource lock management module, a topology reconstruction and arrangement module, a large-screen interaction and visual rendering module and an instruction closed-loop management module. The sensing module establishes mapping from physical resources to a three-dimensional grid; the SOP engine generates a dynamic job map; the resource lock module deduces future resource pressure by using an entity lock and a shadow lock and generates deadlock early warning; the topology reconstruction module responds to the early warning and performs pruning and grafting on the atlas to generate a conflict-free atlas; the large screen module renders the state based on an entropy weight strategy and responds to the lock application; and the closed loop module distributes the instruction and releases the lock according to feedback. Through prospective resource locking and dynamic topology reconstruction, the problem of time-space conflict of resources is solved, and the continuity of the command process is ensured.

The utility model relates to a miniaturized multi-mode identification device applied to a command and control system. The miniaturized multi-mode identification device comprises a shell, a multi-mode identification structure, a sealing cover and a glass cover plate, the back of the shell is opened and is provided with a sealing cover; the front surface of the shell is hermetically covered with a glass cover plate; a cavity is formed in the shell; a multi-mode identification structure is mounted in the cavity; the multi-modal recognition structure comprises a sensor assembly, a light supplementing assembly, a multi-modal acquisition assembly, a face acquisition assembly, a supporting mechanism assembly and a main control board. The sensor assembly, the light supplementing assembly, the multi-mode acquisition assembly and the face acquisition assembly are integrated and installed in the cavity by means of the supporting mechanism assembly. The miniaturized structure of the miniaturized multi-mode identification device provided by the utility model enables the device to be lighter, more compact, easy to carry and rapid to deploy. The method is particularly important for an application scene in which the command and control capability needs to be quickly established in various complex environments.

This invention discloses a three-dimensional intelligent command equipment device for large-scale maintenance operations, comprising: a host computer, a handheld intelligent data acquisition terminal, and a real-time monitoring module; the real-time monitoring module includes a data acquisition module and a data transmission module; the handheld intelligent data acquisition terminal includes a micro-cluster communication device, a data input module, and a handheld control module; the micro-cluster communication device can be configured for multi-party calls and group dialogues, enabling communication between multiple handheld intelligent data acquisition terminals, between the handheld intelligent data acquisition terminal and the host computer, and between the handheld intelligent data acquisition terminal and the monitoring center; the host computer includes a data receiving module, an image processing module, a safety hazard identification module, a data analysis module, a cluster communication device, and a CPU; the data receiving module is used to wirelessly receive on-site operation data acquired by the real-time monitoring module; the data receiving module, image processing module, safety hazard identification module, data analysis module, and cluster communication device are respectively connected to the CPU. This invention can monitor various parameters at the work site in real time and also possesses efficient information transmission and communication capabilities.

The application discloses a heterogeneous flying multi-unmanned aerial vehicle scalable launching and command and control system and method, parallel management and control of multiple heterogeneous unmanned aerial vehicles are realized by networked interaction of an unmanned aerial vehicle launching platform and a ground control terminal, combined with IP address and number bit automatic mapping rules; a plug-in architecture is adopted, and when a new model is added, only a corresponding plug-in needs to be developed, and the main framework does not need to be modified, so that the problems of poor compatibility and difficult expansion of heterogeneous unmanned aerial vehicles are solved, and the demand of unified management and control of civilian clusters is met.

The invention belongs to the technical field of unmanned vehicles, and particularly relates to a multi-load multi-task intelligent unmanned vehicle system which comprises a command control system and a control system. The command and control system is responsible for overall task planning, decision making and resource scheduling, including specific task planning, instruction issuing, situation awareness and decision making, receiving data information of various instructions and intelligence through a wireless communication network, displaying, analyzing and fusing the data, and providing decision basis for commanders; the control system is responsible for converting decisions of the command and control system into specific vehicle actions including vehicle control, armed control and receiving instructions issued by the command and control system, software is divided into the control system and the command and control system, system complexity can be better managed, task execution efficiency can be better improved, driving safety can be better guaranteed, and technical feasibility can be better achieved; the unmanned vehicle can safely and efficiently execute tasks in various complex environments through the mode of division of labor and cooperation.

The present invention provides a method for designing a resource management and control architecture of a command and control system based on an MVPE information ring, comprising: setting the command and control system, comprising a command and control sub-platform and a management and control sub-platform; the management and control nodes comprise status monitoring, status analysis, scheduling and planning, and instruction generation nodes; designing the deployment of status monitoring nodes and instruction generation nodes on the command and control sub-platform, and the information relationship between the status monitoring nodes and instruction generation nodes and resources; designing the deployment of status analysis nodes on the management and control sub-platform, and the information relationship between the status monitoring nodes and status analysis nodes on the command and control sub-platform; designing the deployment of scheduling and planning nodes on the management and control sub-platform, and the information relationship between the status analysis nodes and scheduling and planning nodes; and designing the information relationship between the scheduling and planning nodes on the management and control sub-platform and the instruction generation nodes on the command and control sub-platform.

The invention discloses a traffic signal command and control system based on dynamic shunting, and relates to the technical field of traffic signal control. The light jump delay unit is used for setting indication data of the first target and the second target, wherein the indication data are specifically divided into a red light, a green light and a yellow light; according to the traffic signal command and control system based on dynamic shunting, potential safety hazards to pedestrians caused by vehicle starting due to insufficient time when the pedestrians normally pass in the green light process can be avoided, and accidents caused by the fact that the pedestrians suddenly turn back because vehicle drivers accelerate to start the vehicles after taking the pedestrians as passing can be well avoided; the safety of traffic signal command control is enhanced, the indication data of the transverse traffic signal lamps and the longitudinal traffic signal lamps are dynamically adjusted according to the number, dynamic adjustment can be performed according to the traffic state of the crossroad, and the intelligent degree of traffic signal command control is enhanced based on the condition of dynamic shunting.

The invention discloses a guidance situation assessment method based on data driving, which comprises the following steps: in an inertial coordinate system, taking an aircraft as a mass point, and establishing a reachable set and an isotimeline model of missile and target parties in a guidance process; according to the reachable set and an isotimeline model, calculating an isotimepoint set for fitting to obtain an isotimeline curve meeting fitting indexes, and taking the isotimeline curve as sample data; establishing a neural network model, training the neural network model through the sample data, and generating a dynamic isotimeline by using the trained neural network model according to the performance parameters and the position information of the two parties under the current situation; and evaluating the guidance situation according to the generated isotimeline. Through the data driving technology, the model can be continuously optimized through continuous learning, and the model trained through supervised learning can more accurately reflect the complex and changeable combat situation, so that the accuracy of situation assessment is improved, and the response speed and combat effectiveness of a command and control system are remarkably improved.

The invention provides an electric flight rail flight system, which relates to the field of traffic transportation and is characterized by comprising a rail contact net system, a flight accompanying device power receiving and transmitting system, a main aircraft system and an electric flight operation command and control system. The rail contact network system comprises a supporting structure, an overhead guide rail and a rigid contact network, wherein the rigid contact network is used for external electric energy transmission; the accompanying device system comprises an accompanying device and a power receiving and transmitting device, and a roller power receiving barrel structure is arranged at the lower end of the power receiving and transmitting device and used for electric transmission connection; the main aircraft system comprises a main aircraft body and a power receiving docking device or an integrated power receiving device and is used for continuous power receiving during flight. The system has the advantages that accompanying or integrated wired power supply can be realized in the flying process of the electric aircraft, long-time wire direct connection power supply and energy charging of the aircraft are met, continuous and stable wired power supply is provided for the aircraft, and the flying time, the efficiency and the load are effectively improved.

The invention discloses a combat command capability assessment method based on instruction set information richness, and belongs to the technical field of command and control system capability assessment. Comprising the steps of 1, performing command system characterization based on a command system; step 2, performing instruction field information richness evaluation based on KL divergence; 3, calculating the weight of each command type of the command system in different battlefield environments based on an analytic hierarchy process; and step 4, performing weighted summation on the type instruction field information richness and the instruction type weight, and calculating the comprehensive command capability index of the command system. The method has the advantages that quantitative evaluation is more objective, and the command system capability can be represented more accurately; and evaluation indexes are more comprehensive and reasonable.

The application discloses a kind of unmanned plane command systems for multi-station multi-machine wide-area cooperation, the system includes N unmanned plane group, front desk command subsystem and background management subsystem;The unmanned plane group includes unmanned plane ground station and several unmanned planes;The front desk command subsystem is connected with the background management subsystem and the unmanned plane data, for task monitoring, task planning and situation monitoring;The background management subsystem is connected with the unmanned plane and the unmanned plane ground station data, for basic data management and communication network management.The method can realize the real-time overall scheduling of unmanned plane in multi-station multi-airport scene.

The invention belongs to the technical field of unmanned aerial vehicle control. Relates to an unmanned aerial vehicle command and control system loop delay online test method. A time probe counter is additionally arranged in a real-time command and control system, the time probe counter is looped back in an unmanned aerial vehicle airborne platform, space-time travel of the time probe counter in the whole unmanned aerial vehicle information collection and transmission process is achieved, and time delay calculation of the whole command and control system of the unmanned aerial vehicle is carried out according to the time probe counter. The purpose of obtaining the control delay under the current system working condition on line in real time is achieved. The method is easy to implement and high in universality, accurate and online real-time loop delay testing of the full-control loop of the unmanned aerial vehicle can be achieved only through software optimization and modification, and the method has high practical value and economic value.

The present invention discloses an integrated architecture and implementation method of an automated terminal production command and control system, including a terminal production system, an equipment control system, a data conversion system, an information management system, and a client; the terminal production system and the data conversion system both adopt a distributed architecture; the terminal production system includes a first command distribution service, a first load balancing service, and multiple first functional services; the data conversion system includes a second command distribution service, a second load balancing service, and a second functional service; the load balancing service is respectively connected to the client, the command distribution service, and each functional service for communication, receiving the service request of the client, the microservice list formed by each functional service registered on the command distribution service, and issuing service requests to each functional service according to the classification of the service request and the microservice list. The present invention improves the isolation between each microservice, improves the stability, reliability, and scalability of the system, shortens the fault location time, and improves the troubleshooting efficiency.