107 results about "Command and control" patented technology

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 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 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 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.

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 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.

A system, method, and device for detecting Command and Control (C2) traffic is disclosed. The method includes (i) converting, by one or more processors, a header for network traffic to a header representation having a smaller dimensionality than the header, (ii) querying a classifier based at least in part on the header 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.

Methods, systems, and devices for wireless communications are described. An application server may receive a remote pilot trigger message requesting establishment of a media connection and a command and control connection between a remote pilot station and an aerial mobile device. The application server may transmit an authorization message associated with confirming whether the remote pilot station is authorized to control the aerial mobile device, and the application server may receive a response message in response to the authorization message. The application server may communicate one or more control messages to initiate establishment of the media connection and the command and control connection between the remote pilot station and the aerial mobile device based at least in part on receiving the response message.

The invention discloses a space-air-ground cooperative low-altitude security command and control method, system and device and a medium, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: generating a global dynamic situation map according to multi-source detection data; performing cognitive analysis on the global dynamic situation map to obtain a system configuration, a key unit and a current confrontation stage of the unmanned aerial vehicle swarm; based on the system configuration and the key unit, predicting a subsequent confrontation stage of the unmanned aerial vehicle swarm after the current confrontation stage and a corresponding swarm behavior characteristic; according to the current confrontation stage, the subsequent confrontation stages and the group behavior characteristics, a multi-stage induction signal sequence is generated, and induction signals differentially configured for the subsequent confrontation stages are set to trigger the unmanned aerial vehicle swarm to generate a preset state response by using the group behavior characteristics of the subsequent confrontation stages, the preset state response is planned as a favorable condition for executing the next-stage induction signal. The method has the effect of improving the concealment of confrontation.

The invention relates to a 5G private network base station based on liquid cooling and a cooperative command and dispatch system. According to the base station, the heat dissipation problem is specially considered in design, so that the cooling problem caused by space limitation in the operation process of the 5G private network base station is solved. In order to solve the problem, a liquid cooling technology is adopted, liquid cooling liquid with good heat conduction performance is injected into the 5G base station, the liquid cooling liquid makes full contact with a shell of the 5G base station, and efficient and uniform heat dispersion is achieved. In addition, in order to solve the problem that the transmitting power of the base station is reduced due to the cooling requirement, a collaborative command and dispatch system is designed. When a temperature sensor of a 5G base station detects too high temperature, the system can automatically reduce the transmitting power of the base station and coordinate other base stations through the command and control platform, so that a communication range coverage blind area caused by the base station with reduced transmitting power is filled. Once the temperature of the base station returns to a normal range, the system automatically recovers the transmitting power. According to the design, the cooling and stability problems of the 5G private network base station are effectively solved, and the operation efficiency and stability of the base station are greatly improved.

A device for controlling a distance and / or a height of an attachment above the ground and / or above a plant surface. The attachment is attached to an agricultural vehicle. The device includes a scanner, an evaluation unit, and a control unit. The scanner detects a plurality of detections, detects a detection area, the detection area being is narrower in the direction of travel than transverse to the direction of travel, and detects objects via the plurality of detections and to record data on a detected angle, a detected distance to an object, and / or a density of the object or the objects. The evaluation unit reproduces a ground profile and / or the plant surface and / or a location-dependent plant density as evaluation data. The control unit processes the evaluation data into control commands and controls the distance and / or the height of the attachment to a target value.

The invention discloses a dynamic tactical knowledge graph construction and target attackable value analysis system and method based on an environment embedded graph neural network, and belongs to the technical field of military intelligent decision making and firepower command control. The system constructs a tactical knowledge graph fused with firepower application expert experience for tactical rule recessive and environmental constraint dynamic problems in target threat assessment. Based on an entity-relation-environment attribute triple structure, an ontology model covering a typical combat scene is established, and dynamic quantitative analysis of target attackable value is supported. An environment embedded graph neural network is innovatively designed, a battlefield environment is used as an internal structure variable of a graph, and deep coupling and self-adaptive reasoning of knowledge representation and a real-time situation are achieved. The system can comprehensively consider information such as enemy conditions, my conditions, typical scenes and the like, realizes accurate evaluation of multi-target threats and values, assists a commander in accurately capturing important high-threat high-value targets, and quickly forms a wave-order striking target list.

Methods, systems, and devices for wireless communication are described. An application server may receive a remote pilot trigger message requesting establishment of a media connection and commanding and control connections between a remote pilot station and an air mobile device. The application server may send an authorization message associated with confirming whether the remote pilot station is authorized to control the air mobile device, and the application server may receive a response message responsive to the authorization message. The application server may communicate, based at least in part on receiving the response message, one or more control messages to initiate establishing a media connection and a command-to-control connection between the remote pilot station and the air mobile device.

The embodiment of the invention provides a cooperative task complexity analysis method and system based on task network characteristics, and the method comprises the steps: carrying out the hierarchical decomposition of a command and control task into atomic tasks according to four dimensions, constructing a task network model, traversing the task network model, extracting network scale characteristics, structural relation characteristics and uncertainty characteristics, and carrying out the calculation of the complexity of the atomic tasks. Complexity calculation is carried out on the network scale feature, the structural relationship feature and the uncertainty feature, a corresponding complexity quantification result is determined, and optimization adjustment is carried out on the task network model according to the complexity quantification result, so that the task network complexity of the task network model is reduced, and the task network complexity of the task network model is improved. The accuracy and efficiency of command and control task complexity measurement can be improved.

The utility model relates to the technical field of military equipment, and discloses an armored protection command control square cabin which comprises a square cabin body, positioning seats are fixedly connected to the inner edge of the square cabin body at equal intervals, and driving motors are fixedly installed at the inner top ends of the positioning seats. The square cabin body is good in fixing effect and multiple in applicable scenes, the driving motor drives the drill rod to be inserted into the ground, the positioning and pressure relief assembly is combined, the square cabin body can be rapidly and stably fixed, compared with traditional placement, the square cabin body is more resistant to impact of external force, personnel and equipment safety is guaranteed, and compared with a foundation bolt fixing mode, complex punching is not needed; the device is suitable for temporary deployment and complex outdoor terrains, improves operation efficiency, reduces construction difficulty, is convenient to disassemble and assemble, is reasonable in structure, is high in safety performance, guarantees sealing, prevents impurities from entering and prolongs the service life through the elastic buffering assistance of a spring and the structures of a limiting disc and the like, cooperates with a pressure relief and positioning assembly to reinforce fixation, and can reset in order during disassembly. And safety and reusability are ensured.

The disclosure provides an approach for inter-network command and control. Embodiments include receiving, by a proxy component of a service, from an agent of the service, a request to retrieve one or more action definitions. The agent may be located in a private networking environment, and the proxy component may be located in a networking environment external to the private networking environment. Embodiments include retrieving, by the proxy component, based on the request, the one or more action definitions from a queue associated with the service using a credential of the proxy component. Embodiments include providing, by the proxy component, the one or more action definitions to the agent. Embodiments include performing, by the agent, one or more actions within the private networking environment based on the one or more action definitions.

The invention relates to a computer system and a coordination method suitable for that system, which enables airborne early warning and control (AEW&C) air platforms and reconnaissance / intelligence unmanned aerial vehicles (UAVs) to perform distributed task sharing, allowing the continuation of AEW&C missions including airspace surveillance, command and control, reconnaissance, intelligence, communication, computation, and emergency air traffic control even if one or more platforms become inoperable.

The invention belongs to the field of computer application, and discloses a multi-agent target matching collaborative analysis method based on an RMAPPO algorithm. The method comprises the following steps: (10) constructing a task scene scenario, and obtaining basic environment state information in a scene; and (20) constructing an opposite-side index system according to expert knowledge rules. (30) constructing a model data set and performing preprocessing; and (40) introducing a recurrent neural network to solve the problem of partial state observability. And (50) centrally training the value network and decentrally training the strategy network according to the RMAPPO algorithm. The method has the beneficial effects that the data set is constructed according to task scenarios, and the memory ability of the model is enhanced by introducing the recurrent neural network. According to the method, different intelligent agents can be accurately operated to perform different tasks, especially on the premise of ensuring that people are in a loop, an auxiliary decision-making reference scheme can be made for a decision-making person, and the timeliness and accuracy of modern command control are improved.

The invention relates to a computer system and a coordination method suitable for that system, which enables airborne early warning and control (AEW&C) air platforms and reconnaissance / intelligence unmanned aerial vehicles (UAVs) to perform distributed task sharing, allowing the continuation of AEW&C missions including airspace surveillance, command and control, reconnaissance, intelligence, communication, computation, and emergency air traffic control even if one or more platforms become inoperable.

Systems and methods for network security testing of target computer networks using AI neural networks. A command and control server controls a number of geographically separated processors running a number of neural networks. A central data hive is accessible to all the processors. The processors are organizable into logical hemisphere groupings for specific tasks and / or projects. For security testing, hemisphere groupings are created for the project. Based on data for the target system on the data hive, attacks are formulated by a hemisphere grouping and these potential attacks are tested against known characteristics of the target network. Validated potential attacks and, in some cases, random attacks, are executed and data generated by the executed attacks are stored in the data hive for use in formulating and executing other further attacks. Potential attacks may involve mining social media networks for data on users of the target system.

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 application relates to a feedforward control method, system, and controller for elevator energy conversion. The feedforward control method includes: predicting the segment type, start and end times, and confidence level of the next operating segment of the elevator in the prediction time domain within each scheduling cycle; the segment type includes a deceleration regeneration segment and an acceleration power consumption segment; when the confidence level reaches a threshold or higher, a target power command and control boundary command are preset based on the segment type before a preset time before the start of the next operating segment; based on the target power command and the control boundary command, when the segment type is a deceleration regeneration segment, the power conversion circuit is controlled to execute the energy storage unit to absorb energy from the DC bus; when the segment type is an acceleration power consumption segment, the power conversion circuit is controlled to execute the energy storage unit to release energy to the DC bus, thereby reducing bus voltage and current spikes and impacts, and increasing the priority absorption ratio of regenerated energy.

The embodiment of the invention provides a social network feature-based team communication complexity analysis method and system, and the method comprises the steps: constructing a command and control social network model, carrying out the fuzzy evaluation of a task unit, determining the overall fuzziness of a task, carrying out the multi-dimensional evaluation of a communication medium, determining a comprehensive value of the richness of the medium, and carrying out the analysis of the richness of the medium. Constructing a task fuzziness-communication medium matching matrix, coupling the task overall fuzziness with a medium richness comprehensive value, determining a medium communication efficiency parameter, and performing complexity analysis on a command and control social network model according to the medium communication efficiency parameter to obtain a command and control social network model; the average path length complexity feature, the network diameter complexity feature and the network density complexity feature of the network are obtained, weighted optimization is carried out on the network edge according to the network complexity feature, an optimized command and control social network model is obtained, and the efficiency of team communication and task execution can be improved.

The invention discloses a wireless intelligent mechanical command device, which belongs to the technical field of engineering machinery oil consumption monitoring, and comprises an oil cover base part arranged on a mechanical equipment oil tank, the top of the oil cover base part is connected with a cover body through a locking mechanism, a terminal part is arranged in the oil cover base part, and the terminal part is connected with a detection part through a connecting line. The detection part extends into the oil tank to detect the oil position, and a connecting mechanism is arranged outside the oil cover base part and arranged on one side of an oil conveying opening of the oil tank. In the invention, through the designed guide mechanism, the bottom buffer mechanism can be guided to adjust the detection angle of the detection part relative to the oil tank, and electromagnetic interference in the oil tank can be shielded through the spiral shielding part, so that the signal transmission stability is improved, and meanwhile, the device safety of connecting the wiring harness and the detection part is improved by utilizing the elasticity of the device; normal oil consumption monitoring of the engineering machinery in a bumpy construction site is facilitated, wireless intelligent command and control of the engineering machinery are realized through oil consumption monitoring, and use requirements are met.

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.

The invention provides an unmanned aerial vehicle command and control simulation verification system and method for a heterogeneous simulation source. The system comprises an application scene control module which is divided into an overall scene scenario management part and a dynamic guidance control part; the unmanned aerial vehicle command simulation module serves as a bearing platform of an unmanned aerial vehicle command algorithm or command expert system model; the heterogeneous simulation management module receives data of a real-mounted unmanned aerial vehicle system, serves as battlefield element data in simulation training, serves as a battlefield element simulation data source of a simulation environment, and provides high-precision and high-reduction battlefield element simulation data for the simulation environment through a virtual simulation source and a construction simulation source; the general protocol conversion module performs automatic conversion and transmission of various protocol data based on an expanded DIS general protocol; the invention aims to establish a universal and open system architecture for command and control simulation verification of the unmanned aerial vehicle, and the system architecture has good expansibility for simulation sources of different configurations.

The invention discloses an emergency communication system and method based on a panel satellite antenna, the system comprises a ground command control module, a flight assembly, a loading assembly and a panel satellite antenna detachably arranged in the loading assembly, and the bottom of the flight assembly is provided with a rope winding mechanism; the carrying assembly is connected with the flight assembly through the rope winding mechanism, the rope winding mechanism drives the carrying assembly to vertically move below the flight assembly, and the ground command control module is used for controlling the flight assembly to fly to the air above a target area. The rope winding mechanism is controlled to put down the object carrying assembly provided with the panel satellite antenna to any plane in the target area; a remote control relay module is arranged in the flight assembly and is used for forwarding a working signal and / or a working stop signal sent by the ground command and control module to a panel satellite antenna; and the panel satellite antenna is used for acquiring current geographical location information and target satellite signal parameters, calculating a satellite alignment angle and performing satellite alignment according to the current geographical location information and the target satellite signal parameters.

This invention provides a non-cooperative drone countermeasure method and system based on an intelligence agent for command and control, applied in the field of non-cooperative drone countermeasure technology. The method includes: acquiring a counter-drone equipment system; abstracting and encapsulating the counter-drone equipment system based on equipment capabilities and relationships to obtain a temporal network graph; inputting received natural language instructions representing counter-drone intent, the temporal network graph, and a preset adversarial rule base into a preset intelligence agent to obtain a command and control scheme corresponding to the natural language instructions, including: performing task decomposition and task flow orchestration based on the natural language instructions, the temporal network graph, and the adversarial rule base to obtain atomic task chains; and performing model matching based on each atomic task in the atomic task chain from a preset professional model library to generate a command and control scheme composed of the atomic task chain and the matched professional model sequence. This invention enables intelligent and automated counter-drone command and control decision-making.

The invention belongs to the technical field of network security of Internet of Things equipment, and discloses an Internet of Things equipment group control method based on multiple covert channels, and a DNS covert communication module, a P2P communication module and a media network communication module are arranged in each piece of Internet of Things equipment. And the DNS covert communication module, the P2P communication module and the media network communication module perform data synchronization and cooperative work by accessing a shared configuration information area in the memory of the Internet of Things equipment so as to realize group control. According to the method and the device, the final consistency of the efficient broadcasting of the instruction in the P2P network and the state of each node is ensured, and even if part of channels are invalid, the system can still rely on other channels to maintain the completeness of command and control, so that the persistent communication capability with extremely high toughness and concealment is constructed.