122 results about "Real time data transmission" patented technology

The invention provides an ozone dissolved air flotation system and a dissolved air release control method thereof. The system comprises a gas dissolving unit, an ozone floatation unit, a detection module, a control module and an adjusting module, the gas dissolving unit is used for transmitting generated data to the detection module; the ozone air floatation unit transmits the generated flow, pressure and water quality parameter data of an air floatation tank to the detection module; the detection module monitors the running states of the air dissolving process and the air floatation process in real time, and transmits the collected real-time data to the control module; the control module performs comprehensive judgment on the data through the core algorithm unit according to the sewage treatment mechanism model, the LSTM neural network and the fuzzy control logic, and generates a corresponding control instruction; and after receiving the instruction of the control module, the adjusting module adjusts the corresponding equipment through an execution element. According to the invention, multi-parameter dynamic coordinated regulation and control of the ozone dosage and the dissolved gas pressure can be realized, and the ozone utilization rate and the system response speed are obviously improved.

Distributed fiber optic sensing (DFOS) / distributed acoustic sensing (DAS) that illustrate inventive techniques—applicable to all embedded systems—that deliver high-bandwidth traffic from a DFOS system to a cloud or other processing resources in real-time, employ firmware that operates at a register-transfer level and writes data repeatedly into the embedded host memory directly—without software intervention after initial configuration. This technique advantageously enables the use of the relatively large host memory to compensate for any software jitter. Preferably configured, the firmware employs only a small buffer to compensate for a transaction and host-memory arbitration latency. A second dedicated thread sends out data from the user space buffer to a cloud, or a connected server. Remote procedures that are executed on a remote system (a computer, network of computers, or cloud), receive data transmitted from the embedded system, and perform further processing as necessary.

The invention relates to the technical field of data processing, in particular to a data exchange method based on a data medium station. The method comprises the following steps: monitoring earthquake activity in real time, and collecting earthquake related data; data cleaning and preprocessing; formatting the data, and pushing the formatted data to a data middle table; integrating and converting to obtain data to be transmitted, pushing the data to be transmitted to each receiving platform according to a transmission demand, and obtaining an actual transmission result of the corresponding receiving platform; and analyzing the actual transmission result so as to adjust the transmission mode. In the data exchange process, whether the real-time data transmission result is matched with the ideal result or not is judged, if the result deviation exceeds the allowable range, the transmission effect is analyzed according to the real-time data, the data transmission process is optimized, the optimal transmission effect is ensured, and the method is adaptive to the complex network environment; the data integrity and the transmission efficiency are balanced, and the real-time performance and the reliability of seismic data transmission are improved.

The invention provides a commercial vehicle mountainous road driving assistance system, method and device and a medium, and belongs to the technical field of commercial vehicle intelligent driving assistance. The system comprises a data acquisition sensing module used for acquiring vehicle state, environment and driver information; the data processing module is used for performing fusion analysis, environmental risk assessment, vehicle stability calculation and intelligent vehicle speed prediction based on the multi-source data; the AR-HUD dynamic display module is used for fusing and displaying the generated early warning and guiding information and a road scene in an augmented reality mode; and the data interaction module is used for realizing real-time data transmission among the modules. According to the method, specific modeling is carried out on the special road condition of the mountainous area, and key safety information is visually presented in combination with AR-HUD, so that the driving safety of the commercial vehicle under the complex terrain is effectively improved.

The invention relates to the technical field of emergency treatment information management, and discloses an emergency treatment-oriented multi-disease integrated information management system, which comprises a patient information management module used for configuring multi-disease inspection items and recording standardized time nodes; the inter-hospital referral cooperation module is used for dynamically selecting a referral doctor and recording referral key time; the first-aid time axis module is used for automatically generating a visual record of a treatment process based on a time sequence; and the quality control analysis platform module quantitatively evaluates the treatment efficiency through medical indexes. Through real-time data transmission between the patient information module and the data interaction module, instant sharing of key medical data before and in a hospital is realized, information incompleteness or inaccuracy caused by telephone communication is avoided, time waste of repeated examination after a patient arrives at the hospital is reduced, and treatment delay is effectively shortened.

The invention belongs to the technical field of building informatization, and provides a BIM technology-based multi-person dynamic collaborative operation method, which comprises the following steps of: by taking a basic BIM model as a core, acquiring field multi-dimensional real-time data and transmitting the field multi-dimensional real-time data to a collaborative platform; on-site multi-dimensional real-time data is encrypted and transmitted through a low-delay transmission mechanism; fusing the basic BIM model with the collaborative data to construct a dynamic twinborn collaborative model; the collaborative data is analyzed and processed, and a collaborative management and control instruction is generated through multi-person operation conflict early warning and dynamic permission allocation; performing cross-scene and cross-role multi-person real-time collaborative operation through multi-terminal adaptation and space interaction based on the collaborative management and control instruction; the cross-role and cross-scene multi-person real-time collaboration is realized by constructing a basic BIM model and combining with a dynamic twin collaboration model of field real-time data and combining with low-delay encryption transmission, intelligent conflict early warning, dynamic permission allocation and multi-terminal interaction.

The invention discloses a steel pipe pile support perpendicularity control device and a construction method, and belongs to the technical field of steel pipe pile construction. The device comprises a double-theodolite monitoring assembly, a hydraulic deviation correction execution assembly, a real-time data transmission assembly and a central control unit, all the assemblies work cooperatively to achieve whole-course accurate control over the steel pipe column vibration pile sinking process, and the problems that in the prior art, perpendicularity control precision is low, and adjustment lags behind are solved. The perpendicularity of the steel pipe column is monitored through the double theodolites in a 90-degree crossed mode, dynamic adjustment is achieved in combination with the hydraulic deviation correction frame, the steel pipe column perpendicularity deviation is controlled through the processes of datum positioning, graded pile sinking monitoring, real-time deviation correction and final hammer acceptance inspection, and the method is suitable for the scene of bridge cast-in-place related to high pier column support construction. And the construction safety and the engineering quality are effectively improved.

This utility model relates to the field of non-destructive testing technology and provides a modular acoustic vibration detection probe structure, including a housing and a locking mechanism. The locking mechanism is provided on one side of the surface of the housing, and a combination mechanism is provided at one end of the housing. The modular acoustic vibration detection probe structure provided by this solution, through the locking mechanism, first places the device in the detection area and fixes it to the detection area with an external knot or Velcro. Then, a wiring is connected to the external wiring interface, and real-time data during the detection is transmitted to the operator. When the corresponding sensor needs to be replaced, the battery pack is pulled out of the housing, and then the hidden handle on the corresponding integrated plate is pulled. During the pulling process, the locking block and the limiting block fixedly connected to the integrated plate change from a locked state to a sliding state. At the same time, the limiting block is pressed, and the limiting block overcomes the spring force and slides in the integrated groove, realizing the release operation.

The invention relates to the technical field of connector data transmission, in particular to a transmission data integrity detection method in the flight process of an unmanned aerial vehicle. The method comprises the following steps: acquiring state data of a connector in a flight process of the unmanned aerial vehicle and real-time transmission state data of a link layer and an application layer in a data transmission process; determining an environmental influence factor of the connector based on the state data; analyzing the change of the environmental influence factor, and determining a degradation trend coefficient; determining a real-time data transmission state coefficient in combination with the real-time transmission state data; weighting the real-time data transmission state coefficient through the degradation trend coefficient to obtain a data transmission loss degree; and obtaining a transmission integrity evaluation index of the connector according to the data transmission loss degree and the data accumulation loss amount. According to the invention, the timeliness of abnormal positioning and repairing in the data transmission process is improved, and the transmission loss rate of the unmanned aerial vehicle data is reduced.

The utility model discloses a bridge hanging basket monitoring and alarming integrated system and a construction system. The integrated system comprises a data processing module, a main beam stress sensor, a frame body stress sensor, a truss tilt angle sensor, a frame rail distance measuring sensor, a video monitor, an environment monitoring sensor and an alarm terminal. The construction system comprises the integrated system. The system has the beneficial effects that through multi-dimensional real-time monitoring and accurate alarm, the stress, displacement or inclination angle abnormity of the hanging basket can be found in time, and the safety in the construction process is ensured; due to the second-level response capability and real-time data transmission of the system, constructors can quickly take measures when abnormity occurs, and the risk of accidents is effectively reduced; in addition, through wireless data transmission and a remote monitoring platform, the system reduces the pressure of on-site manual inspection, and improves the efficiency and precision of construction management.

The invention discloses a coal mine explosion-proof electric appliance short circuit protection and temperature characteristic inspection system, which comprises a temperature measurement transmission device, a short circuit protection detection device, a data receiving and storage device and a digital display operation table, and is characterized in that the temperature measurement transmission device comprises a temperature collector and a data transmission terminal; the short-circuit protection detection equipment comprises a current transformer and a short-circuit protection data signal transmitter; and the data receiving and storing equipment comprises an explosion-proof electric appliance short-circuit protection and transient temperature data receiver, an environment temperature sensor and a data memory. According to the technical scheme, the technical problems of complicated wiring, difficult operation, low test precision and difficult real-time data transmission of the temperature test in the explosion-proof electric appliance are solved, and the space deployment flexibility, the temperature test anti-interference capability and the test level are improved. Meanwhile, the system has the multi-node distributed monitoring capability, improves the short-circuit protection and temperature characteristic inspection and test efficiency, saves the power resources, and saves the time and cost.

The invention relates to a method and a system for acquiring stranding data of a copper stranded wire in real time, and ensures the stranding quality in the production process by acquiring and analyzing key parameters in the production process of the copper stranded wire in real time. The method comprises four steps of data acquisition, data transmission, data analysis and mechanism feedback: acquiring parameters such as stranding speed, tension, wire diameter and the like through a sensor array, transmitting real-time data to a data processing center for analysis, and judging whether quality standards are met or not; the system automatically triggers alarm and provides adjustment suggestions in case of abnormity, optimizes production parameters through a control feedback mechanism, improves production efficiency and quality, comprises a sensor unit, a data acquisition module, a data analysis unit, a control feedback unit and a remote monitoring unit, monitors and adjusts the state of a production line in real time, and improves production efficiency and quality. And the quality and the production stability of the copper stranded wire are ensured. The method has a wide application prospect, and is suitable for quality control and automatic management in the high-precision manufacturing field of copper stranded wires and the like.

This invention discloses a domain-specific intelligent routing method for large-scale low-Earth orbit (LEO) satellite networks, belonging to the field of satellite communication technology. This method constructs a network model based on multi-dimensional resource characteristics and combines an improved Transformer architecture regional traffic prediction algorithm to provide resource constraints and spatiotemporal correlation characteristics for routing decisions. Based on geographical region division into virtual nodes and autonomous domains, the LEO satellite network routing process is decoupled into intra-domain and inter-domain parts. Intra-domain routing employs a multi-agent deep Q-network, while inter-domain routing uses a summation tree-based deep Q-network. Routing and resource scheduling algorithms are designed separately for each domain. Through hierarchical routing and decoupled resource scheduling, a domain-specific intelligent routing system with both flexibility and scalability is constructed. This invention significantly enhances the service capabilities of LEO satellite networks under extreme scenarios such as high-frequency topology changes, strictly limited resources, and sudden spatiotemporal changes in traffic, providing a highly reliable, low-latency routing solution for integrated space-ground communication, emergency disaster early warning, and global real-time data transmission.

This invention belongs to the field of natural gas extraction technology in deep thin coal and rock formations. It discloses a directional anti-sticking drill string assembly and drilling method for horizontal wells in deep thin coal and rock formations. A closed-loop control system is formed between the drill bit trajectory control mechanism and the wellbore dressing and anti-sticking mechanism, encompassing near-bit high-precision sensing, real-time data transmission while drilling, surface analysis feedback control, active downhole directional correction, and synchronous wellbore dressing and protection. Multi-directional gamma sensors positioned near the drill bit provide high-resolution formation information; the bend structure of the downhole power drill string provides the direction of the wellbore trajectory; the non-magnetic bearing section ensures the stability of measurement while drilling and the reliability of communication; the surface control unit enables real-time decision-making and trajectory correction; and the wellbore dressing and anti-sticking mechanism simultaneously improves wellbore stability and cuttings carrying capacity. This significantly enhances the drilling throughput and resistance to coal seam collapse in complex sections of thin coal and rock formations while ensuring trajectory controllability, reducing the risk of sticking due to wellbore instability and cuttings accumulation.

The present disclosure discloses a blockchain-driven automated 3D printing modular construction management system, comprising: a decentralized blockchain network deployed on node devices of one or more stakeholders, wherein the one or more stakeholders include one or more of a 3D printing assembly manufacturer, a quality inspection team, a regulatory body, a logistics provider, a consultant, a budget team, and an end-user / client / owner, wherein the decentralized blockchain network is configured to store immutable records of full-lifecycle data including design specifications, material procurement, 3D printing production, logistics transportation, on-site assembly, final handover, and post-construction maintenance; a 3D printing hardware module including at least one 3D printer integrated with blockchain nodes, wherein the 3D printing hardware module real-time records printing parameters, material usage, and quality inspection data to the decentralized blockchain network, and synchronizes digital files, production schedules, and quality control measures with the network; an IoT sensor module comprising a material parameter sensor, a production progress sensor, and a transportation tracking sensor, wherein the IoT sensor module transmits real-time data to the decentralized blockchain network after a computing preprocessing using optimized computational algorithms, and supports real-time verification of construction processes; and a smart contract module embedded in the decentralized blockchain network, wherein the smart contract module includes pre-defined terms for automated material authentication, supply chain transaction validation and milestone-based payment triggering, and links financial transactions directly to project milestones.

The invention discloses a data transmission method and system for a rail vehicle, relates to the technical field of rail traffic, and solves the technical problem of low reliability of data transmission of the rail vehicle caused by difficulty in timely sending fault information of the rail vehicle to an adjacent stop station when the network condition is poor in the existing scheme. The method comprises the following steps: acquiring vehicle data and network fluctuation data of a rail vehicle in a running process, and a rail running chart and a current vehicle position of the rail vehicle; determining a communication relay distance based on the track working diagram and the current vehicle position; determining a real-time data transmission rate of the rail vehicle based on the communication relay distance and the network fluctuation data; and transmitting the vehicle data to the data relay equipment of the nearest station based on the fault state and the real-time data transmission rate. According to the invention, the risk of data loss caused by network fluctuation or vehicle faults is reduced, so that the safety and reliability of rail vehicle operation are enhanced.

The invention provides an intelligent fire identification method for a super high-rise building, and the method comprises the steps: selecting different floors of the super high-rise building, setting a plurality of monitoring points, deploying a floor monitoring platform at each floor, setting an upper-level monitoring platform at a whole building or region level, and building a hierarchical real-time data transmission link; fire scene parameter data of each monitoring point are collected through an entity fire test and uploaded to the upper-level monitoring platform; and constructing a fire identification model and deploying the fire identification model at the upper-level monitoring platform, wherein the input parameters of the fire identification model include temperature and floor height, and the output parameters are fire identification results of different floor heights. According to the method, the accuracy and real-time performance of fire early warning of the super high-rise building can be effectively improved.

The invention discloses a building construction site management method and system applying a digital twinning technology, and relates to the technical field of building construction management. The system comprises a sensing layer, a transmission layer, a data layer, a twinborn layer and an application layer, wherein the sensing layer is used for acquiring real-time data of total factors of people, machines, materials, methods and rings on a construction site; the transmission layer realizes low-delay transmission; the data layer cleans, fuses and standardizes the data; a dynamic digital mirror image of the physical construction site is constructed by the twinborn layer and updated in real time; the application layer provides progress control, safety early warning, quality tracing and multi-party cooperation functions based on the dynamic digital mirror image. According to the method, closed-loop management is formed through the steps of sensing data acquisition, data transmission processing, dynamic twin modeling and application function implementation. According to the method, the problems of information lag, data fault, low collaboration efficiency and the like in traditional management are solved, the construction progress management and control precision, the safety risk pre-judgment capability and the multi-party collaboration efficiency can be improved, and the management cost and the accident rate are reduced.

The invention provides a vehicle-mounted passive optical network system and a communication method thereof, and the method comprises the steps: dividing a transmission period of a passive optical network into a plurality of fractional periods, each fractional period comprises a plurality of time slices used for transmitting different uplink data types, and each time slice comprises a first time slot and a second time slot; analyzing information which is carried in a received bandwidth allocation request from the optical network unit and is used for determining the service type, the priority and the bandwidth requirement of the uplink data to be sent; allocating first time slot resources in corresponding time slices to the non-delay sensitive data according to the priority from high to low; re-determining the priority of the time delay sensitive data, and allocating a second or first time slot resource in the corresponding time slice according to the new priority and the bandwidth demand; and finally, a scheduling instruction issued to the optical network unit is generated. According to the invention, the bandwidth time slot resources are reasonably allocated according to the delay sensitivity of the service data, the resource utilization rate of the system is improved, and the real-time performance and reliability of key real-time data transmission are ensured.

The application relates to the technical field of household energy storage, in particular to a household energy storage system integrating rapid anti-backflow and modular quick-mounting functions, which comprises a data acquisition module, an anti-backflow monitoring module, a data processing module, an execution control module and an assembled embedded module; the application aims to solve the problem that in a traditional household energy storage system, direct current and voltage are high, and the household energy storage system after manual connection is prone to backflow failure in the charging and discharging process; the application realizes rapid detection and prevents power backflow to the power grid, reduces the complexity of manual wiring, significantly improves the safety, efficiency and easy installation of the system through highly integrated modules; real-time data transmission with a monitoring background is realized through a communication interface, ensuring the efficiency of remote monitoring and fault diagnosis. The innovative design makes the application better meet the needs of household energy storage and solar power generation, and improves the intelligence and user experience of the energy storage system.

The application relates to the technical field of wireless communication, and particularly discloses a wireless terminal internet-of-things device multi-channel transmission system and method, which comprises the following modules: a data input module for receiving input data from a wireless internet-of-things device or a control center; a channel division and task allocation module for allocating transmission tasks to all channels based on current input data to be transmitted to obtain a transmission task channel allocation result; a data transmission and quality monitoring module for controlling all channels to perform data transmission according to the transmission task channel allocation result and monitoring real-time transmission quality of all channels; and a data receiving and merging optimization module for merging and optimizing real-time data transmission results from all channels when the latest received real-time data transmission result contains a transmission task end identifier and real-time transmission quality of all channels during execution of a current transmission task is not less than a quality threshold value; so as to meet the demand of complex data transmission of the internet of things.

The application discloses a quantum computing data processing method and device and a storage medium, comprising: collecting real-time data of an application scene by a terminal device, and transmitting the real-time data to an edge processing node cluster; using an FPGA acceleration module integrated in the edge processing node cluster to perform a processing operation on the real-time data to generate a quantum data packet, wherein the processing operation comprises preprocessing, quantumization coding and data routing, and the edge processing node cluster sends the quantum data packet and a corresponding task request to a quantum computing center; constructing a quantum service blockchain network for analyzing and identifying the task request, and dynamically calling, combining and deploying the corresponding quantum service; constructing a quantum computing model, using the quantum service to realize optimized calculation on the task request; and transmitting the optimized calculation result generated by the quantum computing center to the edge processing node cluster through a quantum encryption transmission channel, and driving the terminal device to execute by the edge processing node cluster.

The invention discloses a multi-department data co-processing system suitable for building a company, relates to the technical field of data co-processing, and solves the problems of serious data island phenomenon, difficulty in realizing real-time information synchronization, high data transmission delay and poor consistency caused by independent deployment of a data management system by each department. In order to solve the technical problems that data sharing is limited, decision optimization and resource allocation cannot be effectively supported and the overall efficiency is low due to lack of unified data standards and access control mechanisms in the prior art, centralized management and real-time synchronization of data of various departments are realized through a distributed database architecture of a central data storage unit, data splitting is eliminated, and the data sharing efficiency is improved. Therefore, the problem of data islands can be solved, high consistency of cross-department data is ensured by utilizing low-delay communication and high-concurrency processing mechanisms of the real-time data transmission unit and combining data compression, encryption and integrity verification, and the defects of data transmission delay and inconsistency are overcome.

The invention discloses a classified receiving and transmitting method for examination data, which comprises the following steps of: 1, classifying the data into examination answer data and examination affair data, receiving and transmitting the examination answer data through an encrypted data transmission link, and receiving and transmitting the examination affair data through a real-time data transmission link; the examination answer data is data which needs to meet the security level security requirement, and the receiving and sending process comprises the following steps: A2, the examination center server encrypts and issues the test question data; a3, after any examinee terminal receives an examination completion instruction, encrypting and returning the corresponding examinee answer sheet data; examination data is information needing to be fed back in real time, and the receiving and sending process comprises the steps of B2, data generation and classification; b3, performing real-time direct transmission; and B4, performing central processing and visualization. According to the invention, the safety requirement of examination answering data and the real-time monitoring requirement of examination affair data can be met at the same time, and through double-link separation, the safety of high-interest examination data is ensured, and the real-time transmission of the examination affair data is realized.

The disclosure provides a method for remotely diagnosing faults in a powertrain of an electric vehicle. The method can comprise collecting real-time data from the powertrain of the electric vehicle; transmitting the real-time data to a cloud platform; ranking a feature importance on the real-time data using a random forest model; optimizing hyperparameters of the random forest model using a simulated annealing algorithm; deploying the optimized random forest model on the cloud platform for real-time fault classification and diagnosis; and using the cloud platform to provide real-time fault alerts and diagnostic reports for the powertrain of the electric vehicle.

The invention discloses an ultrasonic automatic detection method for a disc-shaped ring piece. The method specifically comprises the following steps that S1, an outer circle ultrasonic detection module and / or an end face ultrasonic detection module are / is adjusted to the initial position to the initial detection position of a to-be-detected workpiece; s2, driving the to-be-detected workpiece to rotate around the central axis of the to-be-detected workpiece at a constant speed, performing ultrasonic detection on the outer circle surface and the radial end surface of the workpiece by using the outer circle ultrasonic detection module and the end surface ultrasonic detection module respectively, and collecting rotation position information of the workpiece in real time; s3, after scanning of one circle of rotation of the workpiece is completed every time, the outer circle ultrasonic detection module is controlled to step by a preset distance in the axial direction and / or the end face ultrasonic detection module is controlled to step by a preset distance in the radial direction; repeating the step S2 until the current to-be-detected surface is detected; and S4, repeatedly executing the steps S2 to S3 until all the to-be-detected surfaces are detected. According to the invention, efficient automatic detection, real-time data transmission and accurate defect identification can be realized.

This invention provides a medical auxiliary diagnostic system based on a large medical model and speech recognition, including a doctor's workstation deployed on hospital terminal equipment for receiving and displaying diagnostic reports and draft medical records for doctors to review and confirm before submitting to the hospital information system (HIS); an AI doctor client installed on the same terminal device as the doctor's workstation for real-time acquisition of doctor-patient dialogue audio, displaying system-generated follow-up questions and auxiliary prompts, displaying draft medical records and diagnostic reports, and communicating with the AI ​​server and the hospital data interaction server; and a hospital data interaction server, deployed independently in each hospital, for establishing a WebSocket communication channel to achieve real-time data transmission between the AI ​​doctor client and the doctor's workstation within the hospital, forwarding diagnostic reports, draft medical records, and doctor instructions. This system reduces the workload of doctors in data collection, recording, and analysis, and overcomes the shortcomings of existing technologies that rely entirely on manual labor.

The invention provides an FSE-OPL-DenseNet electric vehicle charging recommendation system based on sparse network sharing, which comprises a data preprocessing module, a model training module and a recommendation output module, real-time data transmission among the modules is realized through data interfaces, the data preprocessing module is used for preprocessing obtained historical charging order data of a user to obtain preprocessed training data; the model training module is deployed on the GPU server and is used for training an FSE-OPL-DenseNet model according to the preprocessed training data so as to obtain a trained FSE-OPL-DenseNet model; and the recommendation output module is integrated on an API interface of a mobile terminal or a cloud terminal, and is used for receiving a charging request of a user in real time, generating an access probability distribution result of the user to each candidate charging interest site according to a trained FSE-OPL-DenseNet model, and generating a charging interest site recommendation list based on the access probability distribution result. According to the invention, the accuracy and reliability of charging station recommendation are improved.

The invention belongs to the technical field of remote monitoring, and discloses a remote monitoring method and system for a high-voltage equipment area. The method comprises the following steps: constructing a data analysis model and a transmission path planning model based on a cloud data center, and constructing a data transmission network based on all edge computing gateways; based on a trusted third party, performing key generation and real name authentication on all edge computing gateways; based on the current edge computing gateway, real-time monitoring data of the corresponding high-voltage equipment area is collected, encrypted and signed; acquiring an optimal real-time data transmission path, and uploading the encrypted real-time monitoring data and signature data to a cloud data center; and carrying out signature authentication and decryption based on the cloud data center, and carrying out data analysis by using the data analysis model to obtain a corresponding real-time data analysis result. According to the invention, the problems of low practicability, poor accuracy, poor transmission stability, poor data security and poor reliability in the prior art are solved.

The invention discloses a multi-USV cooperative combat method aircraft system based on a fusion algorithm, and relates to the field of analog simulation. Comprising the following steps: S1, collecting and evaluating state information of multiple USVs; S2, carrying out dynamic adjustment according to task priorities, and constructing a multi-USV task priority model; S3, constructing a real-time data transmission network among the multiple USVs, and processing sharing details by adopting a data fusion technology; and S4, planning attack paths and opportunities among the multiple USVs. And S5, planning the cooperative defense formation and strategy among the multiple USVs. Through the method and the system, information sharing and cooperative control between USVs are improved, accurate and timely data transmission in a complex environment is ensured, and optimization of complex combat tasks such as cooperative attack and defense is realized.