244 results about "Countermeasure" patented technology

The invention discloses a region denial method and system for an unmanned aerial vehicle. Precise defense is realized through a four-stage cooperation mechanism. The method comprises the following steps: S1, a multi-source detection stage; s2, an intelligent identification stage; s3, a dynamic response stage; and S4, a closed loop feedback stage. The system architecture comprises a control center, a composite detection array, an intelligent analysis engine and a multi-mode countering unit, and a complete automatic link from situation awareness to effect execution is formed. Through cooperation of soft and hard killing means, detection and recognition integrated design and an intelligent decision engine, the unmanned aerial vehicle interception efficiency in a complex electromagnetic environment is remarkably improved, an echelon defense system covering electron suppression to precise destroy is constructed, and the method is particularly suitable for important place protection, city security and other high-value target protection scenes.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

The invention relates to an unmanned aerial vehicle detection countering method, which comprises the following steps of: deploying a multi-dimensional sensing network to carry out full-band instantaneous scanning, synchronously acquiring noise characteristics of radio signals, material characteristics of a terahertz wave band and Doppler effect characteristics, mapping to a virtual twinborn body, reconstructing physical parameters, a communication protocol and a behavior mode of a target unmanned aerial vehicle, performing depth comparison by combining a disguise sample library generated by the antagonism generation network, and generating a holographic target file containing a three-dimensional motion vector, an energy feature and a potential threat intention; a target quantum encryption communication link is interfered through a quantum entanglement signal, a controllable plasma cloud cluster is generated, navigation and image transmission signals of the controllable plasma cloud cluster are selectively attenuated, the controllability of the target is judged, and an uncontrollable target is repelled through coded sound waves; and sending a control instruction containing a biological heuristic obstacle avoidance algorithm in stages, and guiding the control instruction to an intelligent recovery cabin. According to the invention, accurate detection, intelligent identification, safe countering and reliable takeover of the unmanned aerial vehicle are realized, and the airspace safety guarantee capability is improved.

The invention provides an unmanned aerial vehicle countering method, which comprises the following steps of: acquiring a radar signal containing an unmanned aerial vehicle reflection signal in a target airspace through a radar detection module, obtaining an unmanned aerial vehicle motion feature through feature extraction, and inputting the unmanned aerial vehicle motion feature into a threat judgment model to determine a threat level. And if the active interception condition is met, controlling the radio interference module to transmit a directional interference beam and activate the physical interception module, and analyzing an interference efficiency parameter to generate a dynamic interception instruction. And finally, combining the target airspace coordinate, the threat level and the interception instruction into a countering control instruction, and sending the countering control instruction to a physical interception module to complete interception. According to the invention, automatic and accurate countering of the urban low-altitude unmanned aerial vehicle can be realized, and the response speed and interception reliability of a security and protection system are improved.

The invention discloses a low-slow small unmanned aerial vehicle countering method and system based on multi-physics field signal interference, and belongs to the technical field of unmanned aerial vehicle countering. Comprising the following steps: modulation of sound wave resonance attack, laser injection attack and electromagnetic interference attack is carried out on sensing devices of multiple target unmanned aerial vehicles, and sensitive parameters of the sensing devices of different target unmanned aerial vehicles for different attack types are determined; establishing different types of unmanned aerial vehicle databases according to the obtained sensitive parameters; obtaining sensitive parameters corresponding to the target unmanned aerial vehicle model by adopting a table look-up method; high-power counter equipment is assembled; and implementing multi-physical field countering on the target unmanned aerial vehicle by adopting a periodic emission method. According to the method, the limitation of countering the low-slow small unmanned aerial vehicle by using a single method (sound wave resonance, electromagnetic interference and laser injection) is overcome, and the multi-physical field signal interference countering of the low-slow small unmanned aerial vehicle of a specified model in a specified airspace is realized.

The invention refers to a counter countermeasures device, for use in an anti-aircraft combat. In one embodiment the CCM device together with an anti-aircraft weapon system forms an air defense system. The counter countermeasures device is configured for generating and emitting electromagnetic radiation of appropriate wavelengths and is capable of operating in spoof and jam mode and switching between both modes. The mode of operation is dependent on the selection of the output power of the EM source unit and the distance to the target. The selection of the output power may be done with a mechanical cover or with an electronic solution, decreasing driving current of the EM sources. With the CCM device the anti-aircraft missile launch warning and detection system installed on aircrafts are deceived and the countermeasures are released. With the use of the CCM device the efficiency of the anti-aircraft combat is highly improved, i.e. the probability of the target hit is highly improved.

The invention discloses an unmanned aerial vehicle illegal intrusion countering system and method based on electromagnetic spectrum detection, and relates to the technical field of unmanned aerial vehicle countering, and the system comprises an electromagnetic spectrum detection module, a spectrum analysis processing module, an intelligent decision module and a countering execution module. By constructing a distributed electromagnetic spectrum detection network, the comprehensiveness and the accuracy of signal acquisition are improved, a spectrum analysis algorithm is combined, spectrum features are deeply mined, illegal intrusion signals of the unmanned aerial vehicle are accurately identified, high-precision detection and rapid early warning of illegal intrusion behaviors of the unmanned aerial vehicle are realized, and an intelligent self-adaptive countering strategy is utilized, so that the safety of the unmanned aerial vehicle is improved. According to the real-time state information of the unmanned aerial vehicle, the intensity, frequency and mode of countering measures are automatically adjusted, the countering effect is improved, the working frequency band of surrounding legal electronic equipment can be dynamically avoided in the countering process, interference to the electronic equipment is greatly reduced, stability of the electromagnetic environment in the area is guaranteed, and the safety of the unmanned aerial vehicle is improved. And the capability of preventing and coping with illegal invasion of the unmanned aerial vehicle is effectively improved.

The invention relates to the technical field of data management, in particular to a curvature radius monitoring system for a large-diameter shield tunneling machine in the stratum settlement process, and the system can accurately judge whether the operation process of the shield tunneling machine needs to be adjusted or not by monitoring and analyzing the operation data of the shield tunneling machine in a tunneling operation section and the corresponding curvature radius data in real time. The method comprises the steps of effectively avoiding stratum disturbance caused by tunneling deviation, reducing the stratum settlement risk, further judging whether to optimize shield tunneling machine communication, guarantee stability and accuracy of information transmission and improve the collaboration and safety of tunneling operation or not based on the adjusted operation condition, marking an operated section as a formed section after tunneling is completed, and improving the working efficiency of the shield tunneling machine. The system continuously obtains and evaluates stratum settlement data, whether an early warning adjustment instruction is sent out or not is judged through scientific analysis, and the series of processes can find stratum settlement abnormity in advance and take countermeasures in time, so that the overall benefits of engineering are improved, and all-directional intelligent monitoring support is provided for shield construction.

The invention discloses an anti-unmanned aerial vehicle aircraft based on rotary cutting, and belongs to the technical field of unmanned aerial vehicle countering. The aircraft comprises a seeker cabin, a steel rope cabin, an instrument cabin, a power cabin, a steering engine cabin and a parachute pack cabin. An infrared seeker is arranged in the seeker cabin; the steel rope cabin can independently rotate relative to the front cabin section and the rear cabin section under driving of the motor and release the flexible steel rope wound in the steel rope cabin, the motor drives a shell of the steel rope cabin to rotate at a high speed and drives the flexible steel rope to rotate at a high speed, and therefore rotary cutting of the target unmanned aerial vehicle is achieved. A main power supply, a control computer, a data chain and an inertial navigation device are arranged in the instrument cabin; the power cabin provides patrol flight power for the aircraft; a steering engine for controlling the rudder wings to rotate is arranged in the cabin, and a pressurizing device for pressurizing the parachute pack cabin is arranged in the parachute pack cabin; the target unmanned aerial vehicle is softly killed, the application range is wide, and the problem that the cost-effectiveness ratio of an existing anti-unmanned aerial vehicle aircraft is relatively low can be effectively solved.

The invention discloses an unmanned aerial vehicle countering system, and relates to the technical field of unmanned aerial vehicle countering, and the system comprises a plurality of guidance unmanned aerial vehicles which are used for carrying out the rigid interception of black flight unmanned aerial vehicles; the radar is used for discovering a black flight unmanned aerial vehicle target; the medium-wave infrared camera is used for performing image recognition on the black-flight unmanned aerial vehicle target; the control center is used for displaying a signal detected by the radar and a target image and generating a control instruction; the radar transmits the control instruction to the unmanned aerial vehicle, and controls and guides the unmanned aerial vehicle to fly to the black flight unmanned aerial vehicle and collide with the target; guidance of the unmanned aerial vehicle further comprises image terminal guidance, namely, an airborne image recognition and tracking system autonomously finds a target, tracks the target and guides the unmanned aerial vehicle to intercept collision; and guiding the unmanned aerial vehicle to autonomously adjust the flight attitude after the target is hit, and executing a task according to an instruction after stabilization. According to an actual deployment scheme, the radar instructs the guidance unmanned aerial vehicle close to the deployment incoming attack direction to take off and execute a countering task, and the interception probability can be effectively improved.

The invention relates to the technical field of low-altitude prevention and control, in particular to a low-altitude target detection identification and countering prevention and control system which comprises an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a general command platform, a dynamic threat evaluation unit and a cross-domain collaborative interface module. The detection and recognition precision and efficiency are improved through intelligent noise reduction and multi-source data fusion, intelligent collaborative countering is achieved through an intelligent decision center and a full-link countering unit, global situation awareness is enhanced through cross-domain data collaboration, operation and maintenance management and system stability are optimized by means of a prediction maintenance module and a modular architecture, and the detection and recognition efficiency is improved. The system can make up for the shortages of domestic existing systems, guarantees the airspace safety of key scenes, and reduces the long-term operation cost.

The invention provides an unmanned aerial vehicle (UAV) countering method and device for interfering the AI vision of a UAV, and a medium, and the method comprises the steps: determining a fixed countering point information set in a protection region, including the unique identification, type and position information of countering points, generating a countering patrol route based on the position information, and issuing the countering patrol route to a target countering UAV; when temporary threat reporting information is received, judging whether the threat point is a to-be-added threat point; and if yes, adding the temporary threat report information into a temporary threat report information set, generating an updated countering route in combination with the set and the countering patrol route, and controlling the target countering unmanned aerial vehicle to execute a laser interference action according to the updated route. The method can efficiently and flexibly deal with the threat of the unmanned aerial vehicle in the protection area, and improves the safety protection capability of the area.

The invention discloses an air-based anti-unmanned aerial vehicle system and a non-cooperative unmanned aerial vehicle detection and countering method thereof, and relates to the technical field of anti-unmanned aerial vehicle systems and methods. The system comprises an air-based flight platform which adopts a multi-rotor unmanned aerial vehicle structure and is used for rapidly taking off and landing in a limited space; the multi-mode detection and countering module is used for detecting a radio signal of a typical unmanned aerial vehicle, interfering communication of an illegal unmanned aerial vehicle and trapping the illegal unmanned aerial vehicle by sending a false navigation signal; the intelligent identification and tracking module is used for carrying out real-time analysis on the multi-modal detection data; the task planning and control module is used for automatically generating an optimal flight and countering strategy according to the detection information and a preset task; and the energy module is used for providing a working power supply for the air-based flight platform and other modules in the unmanned aerial vehicle system. The system can quickly respond in a complex urban environment, accurately detect and effectively counteract the non-cooperative unmanned aerial vehicle.

The invention relates to the technical field of simulation training, in particular to an adversarial design training method, which comprises the following steps: monitoring a training state to obtain time series data, inputting the time series data into a hidden Markov generation behavior sequence, detecting a coordinate deviation angle deviation consumption ratio to identify a weak link, and calling an identification table matching factor library to generate an interference scheme. And according to a coefficient threshold value, controlling activation opportunity particle swarm optimization to generate a dynamic sequence, and according to a frequency coefficient injection adjustment rhythm, monitoring a response delay switching parameter group to generate an evaluation result. A weak point identification link is calculated in combination with coordinate offset track angle difference and resource consumption rate, hierarchical selection is realized according to risk distinguishing parameter combination in an interference link, and dynamic adjustment is performed according to period matching and combination with an optimization algorithm in triggering, so that disturbance intensity triggering rhythm adaptability is continuously optimized, and pressure bearing performance and flexible response capability are improved.

The invention relates to a low-altitude protection management method and system, and the method comprises the steps: collecting the real-time flight information and identity information of a low-altitude unmanned plane through a multi-source detection device, and carrying out the identity verification based on the identity information, and obtaining an identity verification result; if the identity verification result is not passed, determining an abnormal target, and countering the abnormal target; if the identity verification result is passed, preprocessing the real-time flight information to generate preprocessed data; performing threat analysis based on the preprocessed data and historical flight data through a machine learning framework to generate a threat level; and determining a new abnormal target according to the threat level, and countering the new abnormal target. The problems of inaccurate identity recognition, lagging threat assessment and extensive countering measures in the prior art are solved, and the low-altitude unmanned aerial vehicle management and control accuracy and real-time performance are improved.

The invention relates to the technical field of mobile cabins, in particular to an unmanned aerial vehicle detection and countering integrated inspection and attack system and a piggyback type detection and countering working vehicle, which comprise an uninterruptible power supply, detection equipment, countering equipment and a control system. The detection device analyzes and discriminates a series of data such as flight control of the unmanned aerial vehicle according to the received signal, and the control system emits an interference countering signal according to task needs. The unmanned aerial vehicle detection and countering equipment comprises but is not limited to radar, photoelectric equipment, frequency spectrum detection equipment, countering equipment, navigation decoy equipment and the like, and detection, recognition and countering of the airspace unmanned aerial vehicle can be achieved in an omnibearing, multifunctional and multi-task mode. The system is installed in a cabin body, and the cabin body is matched with a cargo bucket of the pickup truck, so that the working cabin system can be conveniently moved to each task deployment point position, and then maneuvering deployment is achieved. And meanwhile, the cabin body can be detached from the pickup truck when the pickup truck is not used, so that the pickup truck can be used for other purposes, and the application rate is higher.

The invention discloses a low-altitude unmanned aerial vehicle countering monitoring system based on state feature decoding, relates to the technical field of unmanned aerial vehicle prevention and control, and is used for solving the problem of poor low-altitude target detection and countering. According to the invention, through closed-loop management and control of heterogeneous radar networking detection, signal level fusion processing, threat assessment and resource scheduling and intelligent countering decision, accurate identification and directional countering of the low-altitude unmanned aerial vehicle are realized; according to the method, the detection precision and the micro-Doppler feature extraction capability of a low-speed small target are improved by combining a virtual aperture synthesis technology, then unbalanced resource allocation is implemented based on a threat level, the system efficiency is optimized, and finally seamless migration of an interfered node task is realized by constructing a signal interference situation map. And continuous tracking and effect evaluation on the target are maintained in the active radio frequency countering process, so that the overall efficiency and reliability of low-altitude security and protection in a complex environment are effectively improved.

The application discloses a kind of laser anti-UAV system cooperative countermeasure decision methods, from multiple distributed deployment laser anti-UAV system according to the damage requirement decision of unmanned aerial vehicle best countermeasure combination. Main decision mechanism and process are: according to the unmanned aerial vehicle image information obtained by each laser anti-UAV system detection equipment, the unmanned aerial vehicle in the air is cooperatively positioned, and the flight trajectory data of unmanned aerial vehicle is obtained;Interception feasibility sequencing is carried out to the laser anti-UAV system satisfying accessibility;The launch energy of each accessible system is calculated in turn according to the distance and direction of target, and the energy of accessible system and the damage threshold of unmanned aerial vehicle are judged to choose, the decision method of the application can complete the countermeasure to unmanned aerial vehicle by the cooperation of multiple laser anti-UAV systems, overcome the defect that single laser anti-UAV system cannot realize countermeasure due to insufficient energy, reduce the requirement of energy, volume and the like of single laser anti-UAV system.

The invention relates to the technical field of unmanned aerial vehicles, and discloses a method for displaying the relative position between an unmanned aerial vehicle and unmanned aerial vehicle detection countering equipment, and the method comprises the steps: obtaining the first position information of a target unmanned aerial vehicle and the second position information of the unmanned aerial vehicle detection countering equipment; determining a horizontal distance and a vertical distance between the target unmanned aerial vehicle and the unmanned aerial vehicle detection countering device according to the first position information and the second position information; a first coordinate system is established with the position of the unmanned aerial vehicle detection countering device as a reference position, the first position of the schematic diagram of the target unmanned aerial vehicle in the first coordinate system is determined, and the abscissa and the ordinate of the first position are the horizontal distance and the vertical distance respectively; and displaying the first coordinate system and displaying the schematic diagram of the target unmanned aerial vehicle at a first position in the first coordinate system. According to the invention, the relative position between the target unmanned aerial vehicle and the unmanned aerial vehicle detection countering device can be visually reflected through the two-dimensional view.

The invention discloses an intelligent bidding document generation and waste bidding risk confrontation optimization method and system, and relates to the technical field of natural language processing in the power industry. In order to solve the problems of low bid winning rate, high bid rejecting risk and mismatching of text styles in the existing intelligent bidding document in the power industry, the method comprises the following steps of: converting unstructured power bidding and tendering data into a knowledge graph which can be reasoned by a computer; building a bid invitation party preference feature vector model and calculating preference weight distribution based on a bid invitation party holographic image of a knowledge graph and recessive preference mining; self-adaptive generation of a bidding document first draft is carried out based on style features obtained through emotion calculation and semantic features of stealth preferences, and alignment of bidding document intonation and project attributes is realized through calculation of text similarity; carrying out waste bid risk confrontation detection and correction based on anti-fact reasoning; and carrying out confrontation detection according to the waste bid risk, and carrying out automatic correction so as to output a compliance final manuscript. The method is mainly used for generating the intelligent bidding document of the power industry and carrying out the waste bidding risk confrontation test.

To predict a condensation risk with high accuracy.SOLUTION: A condensation countermeasure setting device in one embodiment comprises: a first prediction part for identifying a temperature / humidity prediction value in an object space in a desired time zone in the future, on the basis of operation setting information of the object space of a building; a second prediction part for identifying an absolute humidity prediction value in the object space in the desired time zone, on the basis of the temperature / humidity prediction value, volume information of the object space and the operation setting information in the desired time zone; a third prediction part for identifying a saturated water vapor content prediction value to one or more planes defining the object space in the desired time zone, on the basis of the temperature / humidity prediction value; and a fourth prediction part for identifying a condensation water content prediction value in the object space in the desired time zone, by predicting variations of the condensation water content and vaporized water content, in the desired time zone, on the basis of the absolute humidity prediction value and the saturated water vapor content prediction value in the object space.SELECTED DRAWING: Figure 3

The invention relates to the technical field of electronic countermeasures, in particular to an unmanned aerial vehicle group dynamic interception method and system based on distributed interference array collaboration. According to the method, an interference node cluster with autonomous logic association is dynamically deployed in a defense domain, and an elastically reconfigurable distributed interference field domain is formed through a software defined radio architecture; time-varying spectrum features are extracted through an adversarial neural network, and a dynamic threat fingerprint database is constructed; generating an interference vector with frequency band following and power self-adaption based on the dynamic threat fingerprint database, and updating the feature weight of the dynamic threat fingerprint database in real time according to interference efficiency feedback; and according to the situation evolution trend of the dynamic threat fingerprint database, a hierarchical interference wave sequence is generated based on a multi-agent consensus protocol, and a space-time coupled interception chain is formed. Through the method, the whole-process dynamic confrontation capability of the unmanned aerial vehicle group is realized, the efficient interception performance is maintained in a complex electromagnetic environment, and meanwhile, the interference risk on legal communication is reduced.

The invention discloses an unmanned aerial vehicle countering system and method based on bionic intelligent capture, and belongs to the technical field of unmanned aerial vehicle countering, and the system comprises a data collection module which is used for obtaining multi-dimensional feature data of a target unmanned aerial vehicle and generating a comprehensive signal matrix. Respective detection advantages can be effectively complemented, and the influence of severe weather, illumination conditions or electromagnetic interference on target detection is remarkably reduced; the fused data can reflect the real position of the target most accurately, so that high-quality input is provided for subsequent modules; therefore, the system can know where the target is lifted to understand what the target is and the possible posture of the target, and a key basis is provided for subsequent accurate decision making. And the model is ensured to have high-precision state calculation and feature recognition capabilities at the same time.

The invention discloses a black box directional attack countermeasure method based on a general interaction mode, and belongs to the field of attack countermeasure. According to the method, the PGD-based gradient method is adopted to update the adversarial sample in the directional adversarial attack under the condition of the white box irrelevant to the prompt, so that the adversarial sample meets the l-infinity norm limitation, and the directional adversarial attack PATA under the condition of the white box irrelevant to the prompt is realized. According to the method, a PATA algorithm is constructed to aim at an attacked model in a general interaction mode, the attacked model generates a target mask to achieve interference, transferability of an adversarial sample among different models is achieved by adding a new regularization loss function, and defense and robustness of the model can be pointedly improved and enhanced. According to the method, a single competitive sample is used, but the competitive sample is changed in each iteration, so that the calculation overhead of the attack method is reduced, the black box directional attack countermeasure method with high calculation efficiency can be realized, and the dependence on the sample is lower.

The invention relates to the technical field of network security, and particularly discloses an automatic attack traceability countering process method, which comprises the following steps of: firstly, dynamically associating an isolated early warning event into a global attack context by fusing and analyzing multi-source heterogeneous data such as network traffic, equipment logs and external intelligence and then utilizing a threat knowledge graph technology; and performing intelligent prediction on the next intention of the attacker based on the topological relation of the atlas. Based on this, an instant spoofing environment that is highly matched with the predicted target is dynamically arranged and generated, and attack traffic is non-inductively redirected into the controlled environment. And finally, through transparent takeover and deep interaction of the redirection traffic, comprehensive capture and structural analysis of real behaviors, used tools and techniques and tactics of the attacker are realized. Therefore, while the attack traceability accuracy is improved, the initiative and flexibility of the countering means are enhanced, and an active defense system is constructed for network security defense.

The invention provides unmanned aerial vehicle reconnaissance and countering equipment which comprises a software system and a hardware system. The software system comprises a multi-source information fusion system and a decision system; the hardware system comprises a processor, a radar detection device, a photoelectric identification device, a reverse takeover device and a countering device; the processor is used for operating the multi-source information fusion system and the decision-making system; the radar detection equipment and the photoelectric identification equipment are in signal connection with the processor, and the fusion investigation information of the unmanned aerial vehicle is processed by executing the multi-source information fusion system; the reverse takeover device and the countering device are in signal connection with the processor, and the reverse takeover device or the countering device is selected to be adopted for countering the unmanned aerial vehicle through the execution decision-making system. According to the invention, reconnaissance, countering and pipe connection functions can be integrated. Moreover, the recognition accuracy is improved through a multi-source information fusion system, precise detection of target signals is realized, and a better perception effect is achieved for low-slow-small unmanned aerial vehicle targets.

The invention provides a multi-mode unmanned aerial vehicle countering method and system based on ground-air cooperation, relates to the technical field of unmanned aerial vehicle countering, and solves the problems that an existing unmanned aerial vehicle countering technology is low in cooperation efficiency, weak in environmental adaptability and insufficient in real-time response capability. In the method, a ground station uses a radar to scan a target unmanned aerial vehicle in a monitoring airspace, calculates basic parameters of the target unmanned aerial vehicle, constructs a threat degree evaluation model, obtains the threat degree of the target unmanned aerial vehicle, and uses a greedy algorithm to carry out target distribution between a countering unmanned aerial vehicle and the target unmanned aerial vehicle to form a distribution scheme; the distribution scheme is uploaded to the countering unmanned aerial vehicle, and a target unmanned aerial vehicle distributed to the countering unmanned aerial vehicle in a monitoring airspace is recognized through a built-in lightweight visual recognition algorithm; a target unmanned aerial vehicle is continuously tracked through a built-in visual tracking algorithm, and a corresponding countering means is dynamically selected based on recognition and tracking states. According to the invention, the countering response speed of the unmanned aerial vehicle and the stability of target tracking in a complex environment are smoothly improved.

1. Name of the Design Product: Drone Laser Countermeasure Device (Portable Reconnaissance and Strike). 2. Use of the Design Product: For target search, identification, tracking, and high-power laser strike. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

1. Name of the product in this design: Unmanned Aerial Vehicle Countermeasure Equipment (Space-based D100). 2. Purpose of this design: This design is used to cut off the communication and navigation links of drones, forcing them to return to their home base or make an emergency landing, thereby achieving effective control over drones. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of engineering data analysis, in particular to a safety early warning method and system based on engineering project multi-source data, and the method mainly comprises the steps: obtaining the standard reaching rate of a current project based on the total completion degree of the project and the total completion degree of a target project; and based on the first early warning index and a judgment threshold value, outputting a result of sending out early warning at present, if the early warning result is not sent out, judging whether the current project completion degree is greater than or equal to the target project completion degree, and correcting the calculation weight of the first sub-project related to the first early warning model to obtain a second early warning model. Through the above method, the data collected in each sub-project is analyzed, and comprehensive consideration is carried out in combination with the condition of the current project progress, so that a more accurate reference result is obtained, and workers can use the reference result and take more accurate countermeasures.