225 results about "Command and control" patented technology

Disclosed in the present invention are an aviation equipment reliability evaluation method and system based on a knowledge graph and model inference. The method comprises: acquiring data of human factors, equipment systems, and a working environment of aviation equipment; carrying out preprocessing and text labeling on the acquired data; inputting the labeled text information into a constructed entity relationship joint extraction model to form a high-quality structured triple of the knowledge graph; constructing an elastic knowledge graph for the aviation equipment, wherein the elastic knowledge graph comprises an online knowledge graph and an offline knowledge graph which has aviation equipment reliability; and extracting semantic features, and analyzing the similarity between the extracted features to realize indirect inference of the aviation equipment reliability. The present invention fully fuses expert experience and knowledge data, and exerts respective advantages of a human brain and machine intelligence, so as to achieve accurate analysis and prediction of aviation equipment reliability, thereby providing intelligent risk analysis, early warning and optimization suggestions for command and control personnel, and reducing a fault occurrence rate.

A path planning method for a multi-unmanned-aerial-vehicle collaborative maritime search. The method comprises: acquiring and analyzing related ocean current information of a region to be searched, and establishing an ocean current model on the basis of the obtained ocean current information (step 1); on the basis of the region to be searched, a command and control center establishing a grid map by taking a grid cell as a unit, and then establishing a target probability map on the basis of the related ocean current information of the region to be searched, prior target information and the grid map, wherein the target probability map provides the probability of a prior target being present in any grid cell (step 2); if there is an obstacle in the region to be searched, the obstacle being represented by an irregular polygon, generating a segmentation line for region division by taking a vertex of the irregular polygon as one end point of the segmentation line and also meeting a limiting constraint condition for region division, so as to divide the region to be searched into Nr sub-regions, and the command and control center allocating a sub-region to each unmanned aerial vehicle on the basis of the performance of the unmanned aerial vehicle by using a static allocation strategy (step 3); after the sub-region is allocated to each unmanned aerial vehicle, the command and control center planning a cross-regional shortest path for each unmanned aerial vehicle and using a path planning method to plan an unmanned aerial vehicle coverage path, so as to implement a single-region shortest-time coverage path (step 4); and monitoring the endurance state of each unmanned aerial vehicle during the process of executing a search task, and if it is found that the endurance capability is insufficient, recalling the unmanned aerial vehicle, and if a target is found or the search task is completed, recalling the unmanned aerial vehicle and returning to target coordinates (step 5).

The invention relates to the field of wireless communication and intelligent networks, in particular to a software defined radio-based ad hoc network dynamic slicing architecture and a management and control method, comprising a basic communication layer, an intelligent control layer and a service execution layer. The basic communication layer adopts a multi-distribution multi-center clustering architecture; the intelligent control layer is responsible for intelligent management and resource scheduling of the self-organizing network, and the intelligent control layer comprises a plurality of command and control nodes; and the service execution layer adopts a micro-service-based architecture, and encapsulates different network functions and service logics into independent micro-service modules. According to the method, the technical problems of high plane coupling, resource scheduling rigidness, insufficient survivability and high hardware dependency in the prior art are solved.

Systems, methods, and instrumentalities are disclosed that are associated with cellular communications for unmanned aerial vehicles and associated devices. A WTRU may initiate multiple PDU sessions. The WTRU may initiate a first protocol data unit (PDU) session. The WTRU may receive one or more session parameters for a second PDU session. The one or more session parameters for the second PDU session may be received via the first PDU session. The WTRU may initiate the second PDU session using the one or more session parameters (e.g., based on an authentication and authorization associated with the first PDU session being successful). The WTRU may send or receive an operation communication via the second PDU session. The operation communication may comprise an unmanned aerial vehicle command and control message or an unmanned aerial vehicle payload message.

Various techniques for providing deep learning for inline detection of malicious command and control (C2) traffic from unstructured payloads are disclosed. In some embodiments, a system / process / computer program product for providing deep learning for inline detection of malicious C2 traffic from unstructured payloads includes monitoring a session at a security platform, wherein the session includes network traffic; executing a local deep learning model on the network traffic, wherein the local deep learning model is a machine learning implemented C2 (MLC2) model executed on the security platform; and performing an action in response to determining that the monitored session is associated with malware based at least in part on a verdict from the deep learning model.

The technology disclosed relates to a method, system, and non-transitory computer-readable media that detects malicious communication between a command and control (C2) cloud resource on a cloud application and malware on an infected host, using a network security system. The network security system reroutes the cloud traffic to the network security system. The incoming requests of the cloud traffic are directed to a cloud application in the plurality of cloud applications, and wherein the cloud application has a plurality of resources. The network security system analyzes the incoming requests, determines that the incoming requests are targeted at one or more malicious resources in the plurality of resources. Also, the network security system prevents transmission of the incoming requests to the malicious resources, by making the malicious resources unavailable for receiving future incoming requests, while keeping other resources in the plurality of resources available for receiving the future incoming requests.

Method, apparatus and systems are disclosed that may be implemented in wireless transmit / receive unit (WTRU), an unmanned aerial vehicle (UAV) and / or a UAV-controller (UAV-C). In one representative method, the UAV may switch from a first Command and Control (C2) communication link between a UAV and a first UAV-C to a second C2 communication link for C2 communications. The method may include determining, by the WTRU, to switch C2 communications from the first C2 communication link to the second C2 communication link based on a C2 switching condition; sending, by the WTRU to a C2 control entity, a notification indicating link information used to determine switching from the first C2 communication link to the second C2 communication link; receiving, by the WTRU from the C2 control entity, information indicating a switch; and switching, by the WTRU, C2 communications from the first C2 communication link to the second C2 communication link.

The invention discloses a GIS-based artificial influence weather operation command method and device, and the method comprises the steps: obtaining meteorological data and geographic information data, and carrying out the spatial registration of the meteorological data and the geographic information data according to latitude and longitude coordinates, and obtaining the initial data after registration; determining a first target area according to the geographic information data; analyzing the weather data of the first target area based on the initial data, determining an operation mode according to an analysis result, and formulating an operation sowing amount based on the operation mode; and carrying out weather operation in the first target area by using the operation equipment according to the operation mode and the operation sowing amount. According to the invention, through integration of the GIS and the meteorological data, accurate command and control of artificial influence weather operation are realized, and the operation efficiency and effect are improved.

The invention discloses an unmanned aerial vehicle flight plan pre-allocation tool and method, and the tool comprises an information input module, a target constraint generation module, an allocation model building module, an allocation scheme generation module, and an allocation scheme release module. The unmanned aerial vehicle flight plan pre-allocation method is realized by using the tool, and comprises the following steps: step 1, receiving various types of information; 2, generating a pre-deployed target constraint of the flight plan of the unmanned aerial vehicle; 3, establishing a pre-deployed target planning model of the flight plan of the unmanned aerial vehicle; 4, solving and generating an unmanned aerial vehicle flight plan pre-allocation scheme; and step 5, issuing a scheme, and completing pre-deployment of the flight plan of the unmanned aerial vehicle. According to the invention, an implementation tool and a technical basis are provided for low-altitude flight service, urban air traffic management and unmanned aerial vehicle command and control.

The invention discloses an environment perception and command control intelligent deduction platform based on bionic unmanned equipment, and relates to the field of intelligent deduction, and the platform comprises the steps: collecting environment data through a multi-mode sensor, encrypting the environment data through an anti-interference communication relay module, and transmitting the encrypted environment data to a central control platform; the data fusion preprocessing module is used for processing multi-source data and outputting a structured data stream, and the environment intelligent modeling module is combined with a geographic information system to construct a three-dimensional dynamic environment model; an intelligent deduction module carries out multi-scene deduction based on the model, and a self-adaptive control strategy generation module converts a decision tree into an anti-disturbance control sequence; and the man-machine collaborative decision-making module fuses operator intervention to generate a final instruction, and the instruction distribution and equipment collaborative control module issues the instruction to the bionic unmanned equipment to realize intelligent collaborative control. The method has the advantages that bionic perception, anti-interference communication and intelligent deduction are integrated, efficient cooperation and adaptive control of unmanned equipment in a complex environment are achieved, and the intelligence and robustness of task execution are remarkably improved.

The invention provides an unmanned aerial vehicle commanding and dispatching system and an unmanned aerial vehicle combined inspection method and device. The system comprises a monitoring module, a situation overview module, a commanding and dispatching module, a combined flying module, a task module and an operation analysis module. The monitoring module is used for monitoring the frame outside the nest of the unmanned aerial vehicle and the frame of the unmanned aerial vehicle; the situation overview module is used for browsing a base station list, an unmanned aerial vehicle list, an inspection statistics list, an inspection record list and an operation analysis list to query corresponding information; the commanding and dispatching module is used for switching the base stations, acquiring real-time information corresponding to the base stations, and commanding and controlling the unmanned aerial vehicle based on the real-time information and a predetermined commanding strategy; the combined flying module is used for the plurality of base stations to perform combined inspection through a combined inspection route; the task module is used for displaying an inspection record list and an inspection plan list; and the job analysis module is used for displaying the task list and the result list. According to the mode, display and route planning of multi-base-station unmanned aerial vehicle combined inspection are realized.

The invention discloses a simulation platform for autonomous tracking of a subsea pipeline by a UUV. The simulation platform comprises a mother ship command and control node system used for issuing a task instruction to a UUV motion control and situation display system; the UUV motion control and situation display system is used for sending a course adjustment instruction to the UUV underwater unmanned vehicle and carrying out real-time graphical dynamic display on the navigation information of the UUV underwater unmanned vehicle; the UUV side-scan sonar model system is used for receiving the motion attitude information of the UUV underwater unmanned vehicle and carrying out detection result data production calculation on a target area in combination with the motion attitude information; the UUV subsea pipeline detection and identification system is used for carrying out pipeline identification according to side scanning detection result data and sending pipeline information to the UUV pipeline tracking strategy system; the UUV pipeline tracking strategy system is used for calculating the track information of the UUV underwater unmanned vehicle according to the pipeline information and the navigation information of the UUV underwater unmanned vehicle, and sending the track information to the mother ship command control node system.

The invention relates to the technical field of unmanned aerial vehicle radio detection, in particular to an unmanned aerial vehicle detection and judgment method based on cooperation of an air-ground system and radio detection, and the method comprises the steps: finding a suspected target through scanning of a multi-frequency-band radar, triggering an infrared thermal imager carried by an aerial unmanned aerial vehicle to approach an ultra-wide-frequency-band spectrum sensor for verification; accurate positioning is realized by combining ground photoelectric equipment multi-view triangulation positioning and a signal arrival time difference algorithm, a command and control center calculates threat levels through a multi-source data fusion engine, and navigation decoy of dynamically adjusting intensity is adopted for targets smaller than or equal to two levels. Hard killing of ground laser locking rotor center and air electromagnetic pulse synchronous coverage is executed on a target of more than or equal to three levels, the equipment state is synchronized in real time through an optical fiber link, high-energy-consumption equipment is intelligently closed after threat is relieved, a platform starting strategy is optimized, a detection closed loop of'three-dimensional perception-graded treatment-intelligent energy saving 'is constructed, and the intelligent energy saving effect is achieved. And an efficient and accurate low-altitude safety protection scheme is provided for a sensitive area.

The invention discloses an agent control method and device, terminal equipment and a medium, and the method comprises the steps: obtaining battlefield situation information which at least comprises our situation information and opposite situation information; performing feature extraction on the battlefield situation information to obtain a feature vector corresponding to the battlefield situation information; performing fusion processing on the feature vectors to obtain fused feature vectors; training a pre-trained agent model according to the fused feature vector to obtain battlefield decision information; according to the battlefield decision information, a control instruction corresponding to the battlefield decision information is generated, through an artificial intelligence algorithm, an intelligent command and control entity capable of supporting single-loading and formation two-level battlefield command training and a virtual agent used for command decision are constructed, intelligent opponents of different levels are provided for battlefield command simulation training, and the intelligent opponents of different levels are provided for battlefield command simulation training. According to different scenes, flexible battlefield situation display can be provided, and the evaluation result of the analysis and evaluation module is visually displayed.

A system for controlling unmanned vehicles such as drones, ground vehicles and robots includes multiple human-to-machine interface components to manage interactions efficiently and effectively between humans and robots with respect to control mechanisms (i.e., inputs such as voice-commands or joystick use) and monitoring (i.e., outputs such as camera or other sensor feeds, geolocation overlay, or audio feedbacks). A system according to the principles of the invention includes numerous modalities for control (e.g., voice-control, gesture-control, touch screen, joystick or other hand-held controllers) as well as monitoring (visual screen display, heads-up-display, audio feedbacks, geolocation overlay, haptic feedback, wearable sensor devices). The system is preferably expandable and may include additional modalities in the future, such as eye-tracking as compared to voice or gesture control.

The invention discloses a mooring type low-altitude monitoring countering unmanned system based on deep learning target recognition. The mooring type low-altitude monitoring countering unmanned system comprises a mooring unmanned aerial vehicle platform module, a multi-source sensing and data fusion module, a deep learning target recognition and classification module, a self-adaptive countering decision and execution module, a dynamic tracking and collaborative aiming module and a ground command and control module. The mooring unmanned aerial vehicle platform module forms a stable air monitoring and countering base point; the multi-source sensing and data fusion module provides high-quality input for system identification; the deep learning target recognition and classification module recognizes and predicts a target behavior through deep learning; the self-adaptive countering decision and execution module realizes precise countering; the dynamic tracking and collaborative aiming module applies counter energy to a dynamic target; the ground command and control module provides a human-computer interaction interface and displays global information. The low-altitude active defense system has the advantages that technologies such as multi-source fusion perception, deep learning AI recognition and self-adaptive precise countering are deeply fused, and the low-altitude active defense system is formed.

Method, apparatus and systems are disclosed that may be implemented in wireless transmit / receive unit (WTRU), an unmanned aerial vehicle (UAV) and / or a UAV-controller (UAV-C). In one representative method, the UAV may switch from a first Command and Control (C2) communication link between a UAV and a first UAV-C to a second C2 communication link for C2 communications. The method may include determining, by the WTRU, to switch C2 communications from the first C2 communication link to the second C2 communication link based on a C2 switching condition; sending, by the WTRU to a C2 control entity, a notification indicating link information used to determine switching from the first C2 communication link to the second C2 communication link; receiving, by the WTRU from the C2 control entity, information indicating a switch; and switching, by the WTRU, C2 communications from the first C2 communication link to the second C2 communication link.

The invention relates to the technical field of heat exchangers, in particular to a collaborative design and control method, device and equipment for a heat exchanger and a storage medium, and the method comprises the steps that operation data of a target heat exchanger under at least one working condition are collected, and performance coefficient data meeting preset performance conditions are output through a multi-target collaborative optimization model; after operation is conducted according to the performance coefficient data, the flow value, the pressure value and the temperature value of the target heat exchanger are collected, and a corresponding adjusting instruction is determined; and based on the digital twin body, determining performance attenuation data and / or a fault diagnosis result, further generating an optimization instruction, and controlling the target heat exchanger. Therefore, the problems that in the related technology, under the variable load working condition, when the load deviates from a design point, the heat transfer and efficiency become poor due to fluid flow and flow velocity changes, vibration is caused by uneven flow, the temperature control precision is poor, and physical property changes and temperature pinch points are prone to occurring in a supercritical working medium are solved; the post-adjustment adaptability is poor, the performance is difficult to optimize, the response is slow, and potential safety hazards exist.

A taskable aerial network includes a plurality of uncrewed vehicles, and a ground station executing a command and control subsystem in operable communication with the plurality of uncrewed vehicles and configured to receive a task input based on a timeline, a location, and / or a payload, receive a capacity input based on a location, a payload and an operational condition for an uncrewed vehicle, receive a traffic input based on a location of the uncrewed vehicles, receive a risk input and determine if the risk input passes a predetermined risk threshold, determine a flight plan based on at least one of the task input, the capacity input, the traffic input, and the risk input, and transmit the flight plan to the uncrewed vehicle to deploy the uncrewed vehicle to execute a task.

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 provides a return system and method for flight data of an unmanned aerial vehicle, and is applied to the technical field of communication. An intranet unit acquires protocol data and file data from a command and control station, and performs protocol conversion on the protocol data to obtain UDP unicast data; the first one-way optical shutter transmits the UDP unicast data and the file data to the external network unit in a one-way manner; the external network unit transmits the file data and the UDP unicast data to the router; the router transmits the file data and the UDP unicast data to a network server through a VPN tunnel; and the command and control center restores the UDP unicast data to obtain protocol data, performs command control on the unmanned aerial vehicle based on the protocol data, and stores file data to an intranet. According to the scheme, the VPN tunnel is constructed, the protocol data and the file data are transmitted back through the VPN tunnel, the transmission back cost is reduced while the transmission back effect is guaranteed, the command and control station and the command and control center are physically isolated through the arrangement of the one-way optical shutter, and illegal utilization of a transmission back link is avoided.

The invention relates to an aircraft circuit detection device and method, belongs to the technical field of detection, and solves the problem that the correctness of an aircraft circuit is difficult to determine before an aircraft is launched. The device comprises a signal generation module which is used for storing a preset simulation instruction and a control signal, providing the simulation instruction and the control signal to an aircraft after detection is started to generate an aircraft feedback signal and transmitting the aircraft feedback signal to a signal conditioning detection module; the signal conditioning detection module receives and detects the aircraft feedback signal, and then provides the detected aircraft feedback signal to different indicating lamps to determine whether the feedback signal is qualified; under the condition that the self-checking module is not connected with the aircraft, an equivalent correct signal and a signal exceeding the marked tolerance are sequentially generated and provided for an internal circuit of the aircraft circuit detection device so as to generate a self-checking feedback signal, and the self-checking feedback signal is provided for a self-checking indicator lamp so as to determine whether the internal circuit is qualified or not. And the real-time state of the aircraft is timely mastered to find the fault aircraft.

Exemplary systems and methods are directed to reducing processing complexity for command and control of a remote autonomous object in response to natural language commands. A processor receives a user command in a natural language format and extracts designated parameters for matching with a control prompt stored in a library of control prompts. The processor determines a confidence from a result of the operation. The confidence factor is used to selectively route the user command to a simple command processing path to generate a simple command message or a complex command processing path having one or more neural networks to generate a complex command message. The processor compares the simple command objective message, or the complex command objective message generated from the selective routing operation with known capabilities of the remote autonomous object to identify a remote autonomous object command, which is formatted and transmitted to the remote autonomous object.

The two-dimensional trajectory correction fuze device comprises a wave-transparent cover, a base, a control cabin, a rotary cross-shaped rudder and a battery cabin which are sequentially arranged in the direction from a bullet head to a bullet tail, an electric steering engine is arranged in the rotary cross-shaped rudder, and a radar module is arranged between the base and the wave-transparent cover; a flight control board, a trajectory resolving board and an attitude measurement module are arranged in the control cabin, a navigation module is embedded in the outer wall of the control cabin, a control module is loaded in the flight control board, the navigation module is used for detecting coordinate parameters and speed parameters, the radar module is used for measuring the distance between a warhead and the ground surface, and the attitude measurement module is used for detecting attitude parameters. The trajectory resolving board is used for recognizing aerodynamic parameters, and the control module is used for generating a steering engine control instruction and controlling the electric steering engine to adjust the aerodynamic force vector of the rotary cross rudder according to the steering engine control instruction to conduct trajectory correction. The two-dimensional trajectory correction fuze device has the beneficial effects that the two-dimensional trajectory correction fuze device can be quickly launched, adapts to complex meteorological conditions, is compact in structure and can be interchanged with a standard fuze.

Endpoint system comprising an endpoint agent configured for deployment on a computing machine, a backend server adapted to curate and update intelligence fingerprints, a communication module within said agent enabling it to request and receive the latest intelligence fingerprints from said backend server, and a mechanism within said agent to directly analyse network packet details. The system may comprise logless technology and operate independently of threat intelligence platforms (TIPs) and Security Information and Event Management (SIEM) systems. The system may identify adversary inndicators such as unusual agent strings, uncommon IP addresses, or patterns inconsistent with command-and-control servers. The system may also comprise an automated response system.

The application discloses a city air traffic system control architecture switching method and device, relates to the technical field of system engineering and automatic control, and is based on an adaptive architecture switching control model constructed based on adaptive control theory and fuzzy logic control. Based on state variable values and performance index values of the system, the adaptive architecture switching control model is used to switch the type of the city air traffic control system architecture and the corresponding model structure in real time, so that the operation efficiency of the city air traffic system can be effectively improved, and the loss caused by the safety risk can be reduced. The application designs three types of city air traffic control system architectures for the city air traffic system, can meet the command and control requirements of different scenes, and provides a reference for the design of the city air traffic system control architecture.

The invention discloses a control method and system for sodium hydrosulfite synthesis and electronic equipment, and the control method comprises the following steps: a production starting instruction is obtained, and the production starting instruction comprises control configuration of a pretreatment stage, a feeding stage, an absorption liquid stage, a heat preservation stage, a large charging stage, a small charging stage, a cold charging stage and a discharging stage. By acquiring the production starting instruction and controlling the operation of each stage according to the preset configuration, the automation of the production process is realized, human errors are reduced, and the strict requirement on highly concentrated spirit of operators is lowered. Operating parameters of each stage can be accurately controlled according to a preset program, and product quality fluctuation caused by unstable operation in a traditional process is avoided. The operation parameters and the feeding sequence of each stage are automatically executed according to the preset configuration, the whole process is provided with safety alarm and termination and abnormity handling programs, the reaction process is continuous, smooth and safe, shutdown waiting or human errors are avoided, and the overall production efficiency and safety are improved.

The invention discloses a sudden cardiac arrest field cooperative treatment system which comprises a database, a scheduling system, a cooperative client, a navigation beacon terminal and an unmanned aerial vehicle. The database is used for storing resource information, knowledge information and a three-dimensional navigation map for treatment; the scheduling system is used for commanding and controlling the unmanned aerial vehicle and is also used for sending a treatment task to the collaborative client; the collaborative client is used for receiving the treatment task sent by the scheduling system; the navigation beacon terminal is used for sending position information of an emergency event to the scheduling system; and the unmanned aerial vehicle is used for transporting the treatment equipment to the position of the navigation beacon terminal according to the flight instruction of the scheduling system. The transportation time of the treatment equipment is shortened, treatment operation information is provided for non-professionals, the rescue quality is enhanced to a certain degree, and therefore the survival rate of patients is increased.

The utility model discloses an unmanned aerial vehicle command and control seat rack, and relates to the technical field of unmanned aerial vehicle control equipment. The seat rack comprises a seat rack main body structure and a seat; the seat rack main body structure comprises a first rack, a second rack and a third rack which are sequentially connected from bottom to top; the bottom of the first rack is connected with a pedal, the second rack is connected with a host, an operating lever, a first touch display and an accelerator platform, the third rack is connected with two angle adjusting mechanisms, and the two angle adjusting mechanisms are connected with a second touch display and a third touch display respectively. The angle adjusting mechanism is used for adjusting the pitching angles of the second touch display and the third touch display according to different sitting postures of the operator on the seat, so that the operator in each sitting posture can see the display content of a screen; and a worker is in a relatively comfortable working state.

The invention provides a simulated training guidance control method and system based on artificial intelligence, and relates to the field of guidance, and the method comprises the steps: obtaining multi-source data and preset training scene state data, and carrying out the preprocessing of the multi-source data; identifying the preprocessed data through a pre-trained deep learning neural network model to obtain real-time initial training scene state data, and synchronizing the real-time initial training scene state data to perform data linkage to obtain real-time training scene state data; judging whether the real-time training scene state data conforms to preset training scene state data or not; and if not, updating preset training scene state data according to the real-time training scene state data, and predicting a battlefield situation according to the updated training scene state data to generate a new training action strategy to realize guidance control. According to the invention, the technical problems of poor flexibility, insufficient accuracy and low efficiency of simulation training guidance in the prior art are solved.