352 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.

The invention provides a multi-path real-time online monitoring device and method, electronic equipment and a medium, and belongs to the technical field of relay protection. Comprising a relay protection outlet hard strap state acquisition module used for acquiring the state of a relay protection outlet hard strap to obtain acquisition information; the multi-path on-line monitoring module is used for receiving the acquisition information of the relay protection outlet hard strap state acquisition module and performing on-line monitoring to obtain monitoring information; the measurement and control device is used for receiving the monitoring information of the multi-path online monitoring module and generating a control instruction; the motion device is used for receiving the control instruction of the measurement and control device and executing the control instruction; the dispatching master station is used for analyzing and calculating the measurement and control device and the movement device, commanding and controlling, outputting an early warning response, and monitoring and dispatching the power system; and the photon alarm device receives the early warning response of the dispatching master station and gives an alarm through photons. The system can realize real-time monitoring, and is accurate in monitoring and high in reliability.

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.

A system, method, and device for detecting Command and Control (C2) traffic is disclosed. The method includes (i) converting a monitored traffic sample to an image representation, (ii) querying a classifier based at least in part on the image representation to obtain a traffic classification, (iii) automatically detecting C2 traffic based at least in part on the traffic classification, and (iv) handling the network traffic based at least in part on the traffic classification.

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.

Methods and systems for a network of computing devices are described. Embodiments of the present disclosure include a pipeline system that may be configured to identify a plurality of leads from amongst the computing devices by comparing data received from the computing devices to soft fingerprints. In some cases, the pipeline system may perform probing each of the plurality of leads using an emulator, and generating a threat indicator in response to the probing. Next, the pipeline system may enrich the plurality of leads in response to probing each of the plurality of leads and appending enrichment data to the threat indicator. The threat indicator and the enrichment data may be subsequently transferred to update a search cluster.

A system that detects malware by analyzing message logs to identify message patterns that are periodic with similar-sized messages. These patterns may indicate malware since malware often sends beacon messages to a command-and-control system that are often periodic and of relatively similar length. The system may group message logs by the combination of source and destination and analyze each group for patterns of periodicity and message length uniformity. Entropy may be used to measure the uniformity of message lengths and message intervals, with low (or zero) entropy suggesting malware. Message intervals that repeat after several messages may be detected by testing subsequence sums for uniformity at different possible periods. Additional factors may be used to assess the risk, such as the duration of communication, and threat intelligence on the source or destination. The system may perform automated actions to eliminate or mitigate detected risks, such as blocking further communication.

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 method of receiving a communication service through a network by a user equipment (UE) in a mobile communication system cooperating with an uncrewed aerial system (UAS) and an apparatus therefor are provided. The method includes: receiving a first message including link configuration-related information from the network; acquiring first type information by the UE; receiving second type information from an external server by the UE; determining a quality level for configuring a command and control (C2) communication service link based on the link configuration-related information; and configuring the C2 communication service link with the network according to the determined quality level, wherein the quality level for configuring the C2 communication service link is determined based on at least one of the first type information, the second type information, or any combination thereof.

A collaborative content management system identifies an application installed on one or more client devices that is susceptible to an attack by using the API calls of the application. The collaborative content management system obtains API calls made by the application and derives API call features. The collaborative content management system inputs the API call features into a machine learning model and receives, as output from the model, a determination of whether the set of API calls represents a C2 attack. In some embodiments, the collaborative content management system, responsive to determining that the set of API calls represents a C2 attack, may take a security action.

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.

Systems and methods for supporting multiple uncrewed aerial vehicle (UAV) Service Suppliers (multi-USS) are described. The methods may be performed by a wireless transmit / receive unit (WTRU) including a UAV application enabling (UAE) client located in the UAV with the method performed with the UAV in-flight. Steps may include: sending a registration request to a UAE server, the registration request including an indication of multi-USS capability; receiving a registration response message that includes an indication that the UAE server supports multi-USS capability; receiving a multi-USS configuration request that includes multi-USS configuration parameters related to conditions under which the UAE client may initiate a USS change and a list of allowed USSs; sending a multi-USS configuration response; and performing a multi-USS change and sending a multi-USS change notification based on the multi-USS configuration parameters.

The invention provides a monitoring and commanding multifunctional integrated seat for a ship and the ship. Comprising a seat backrest, a turnable armrest plate, a portable device wireless charging panel, a seat adjusting button plate, a telephone communication button plate, a telegraph order transmission push rod, a mounting base, a sliding rail groove, an adjustable display screen support arm, a reinforced intelligent display screen and a seat front-back rail moving and seat surface height adjusting button plate. The seat adjusting button plate is used for adjusting the pitching angle of a backrest of the integrated seat and starting and stopping ventilation and heating of the integrated seat and vibration and massage of the integrated seat; and the seat front-back track moving and seat surface height adjusting button plate is used for integrally moving the seat back and forth and adjusting the height of the seat surface. According to the technical scheme, the functions of marine seat, information display, operation input, engine telegraph, telephone communication, video, portable wireless equipment charging, seat ventilation and heating, vibration massage and the like can be integrated, and the efficient and comfortable requirements of ship command and control are met.

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.

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 invention discloses a self-adaptive hydrogen thyratron driving system and a control method. The driving system comprises a hydrogen thyratron, a first rectifying and filtering module used for converting an alternating-current power grid power supply into direct-current voltage, an MOS tube used for controlling triggering of the hydrogen thyratron, a first transformer used for voltage conversion, and a control module used for receiving an external command and controlling a triggering module to generate a pulse signal. The trigger module is used for receiving a pulse signal of the control module, amplifying the pulse signal and then controlling the MOS tube, the relay module is used for selectively switching an input gear of the first transformer according to an instruction of the control module, and the second transformer is used for providing stable voltage for a heating wire of the hydrogen thyratron. The third transformer is used for providing an isolated power supply for the control module; and the second rectifying and filtering module is used for converting alternating-current output of the second transformer into direct-current voltage and supplying the direct-current voltage to a heating wire of the hydrogen thyratron. The technical problem of unstable voltage of the heating wire in the hydrogen thyratron in the prior art is solved.

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.