6191 results about "Information transmission" patented technology

A system for breakage early warning of high-voltage transmission lines based on acoustic prints, including a data acquisition unit, an edge processing unit, a cloud server, a warning execution unit, and a communication unit. The data acquisition unit is configured to collect environmental information of a high-voltage transmission tower in real time through a multimodal sensing device. The edge processing unit includes an adaptive filtering module configured to eliminate wind noise interference in the environmental information and compensate for frequency response deviation. The cloud server can generate a warning instruction based on the environmental information. The warning execution unit can perform warning and alarming actions based on the warning instruction. The communication unit is configured to enable data and information transmission among the units. A method implemented by such system is also provided.

The invention provides an information transmission device and implementation method based on multi-protocol dynamic conversion and data fusion, and belongs to the technical field of information transmission, and the device comprises a multi-protocol communication interface module, a data analysis unit, a dynamic protocol conversion engine, a data fusion unit, a data assembly reporting unit and a log storage module. According to the method, information transmission is realized by initializing an interface, analyzing multi-protocol original data, dynamically converting the multi-protocol original data into a uniform format, fusing de-duplicated data, packaging, reporting and recording logs. The device and the method solve information interaction obstacles of different protocol devices, support bidirectional conversion of multiple industrial protocols, realize cross-protocol device collaboration and centralized management, improve the system intelligence level, and are suitable for scenes requiring multi-device collaboration, such as electric power, intelligent transportation, intelligent buildings and the like.

The invention provides an energy storage cabin terminal remote upgrading method and system based on communication protocol optimization, and relates to the technical field of digital information transmission, and the method comprises the steps: deploying a bandwidth detection mechanism, adjusting a self-adaptive block transmission strategy, and dividing upgrading firmware into M dynamic data packets; constructing a dual-path transmission layer, and configuring a dual-path redundancy check mechanism; a missing block query rule is adopted, and a local flash memory is used for caching Hash check values of the received N dynamic data packets; analyzing a mapping relation between the block index and a multi-path redundancy check mechanism, and establishing a check mapping table; and performing real-time verification and state marking, and configuring a remote upgrading process to execute the upgrading operation of the energy storage cabin terminal equipment after incremental recombination is performed by comparing and verifying abnormal data packets. According to the invention, the technical problem of insufficient reliability of data transmission caused by lack of adaptability to a dynamic network environment due to the fact that most of energy storage cabin remote upgrading technologies in the prior art depend on a single communication path to carry out data transmission is solved.

The invention relates to the technical field of data monitoring, and discloses an intelligent data monitoring method and a monitoring platform, and the intelligent data monitoring method comprises the steps: constructing a dynamic heterogeneous hypergraph model, and representing the complex relation and time sequence evolution characteristics among multi-source data nodes; based on a dynamic heterogeneous hypergraph model, realizing high-order relationship representation and calculation, and obtaining embedded representation of nodes and relationships; performing heterogeneous graph information transmission and aggregation by utilizing embedded representation of nodes and relationships, and capturing complex interaction characteristics among multiple nodes; according to the complex interaction characteristics, an abnormal propagation rate model is established, and accurate prediction of an abnormal diffusion path is realized; based on the abnormal propagation rate model and the abnormal diffusion path, multi-level collaborative anomaly detection is implemented, and collaborative faults across subsystems are identified; according to the invention, the abnormal propagation path can be predicted in advance, the abnormal prediction accuracy is improved, and the system fault response time is advanced.

The invention discloses a three-dimensional attitude estimation method combining global modeling and local refinement, which comprises the following steps of: firstly, extracting a two-dimensional attitude sequence by using a human body video data set; secondly, inputting the two-dimensional attitude sequence into a structural modeling main branch, modeling a spatial topological relation and a time sequence dynamic state between joints, and outputting a global three-dimensional attitude sequence; and inputting the two-dimensional attitude sequence into a local refining branch, modeling dynamic change and detail information of a local area, and outputting a local three-dimensional attitude sequence. And finally, fusing the global three-dimensional attitude sequence and the local three-dimensional attitude sequence, generating a three-dimensional attitude sequence output, and completing three-dimensional attitude estimation. According to the method, the problem of insufficient cross-frame information transmission in a traditional method is relieved, and the accuracy and robustness of attitude estimation in a dynamic complex scene are remarkably improved.

The invention relates to an aerial photography target detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring an aerial image acquired by an image sensor; inputting the aerial image into a pre-trained target detection model to obtain a target detection result; the target detection model comprises a backbone network, a neck network and a head network; wherein the backbone network is used for performing feature extraction on an aerial image to obtain image extraction features; the neck network is used for performing multi-scale fusion on the image extraction features to obtain a plurality of fusion features of different scales; the neck network comprises a bidirectional information transfer network, the bidirectional information transfer network comprises a separation and attention enhancement module, and the separation and attention enhancement module is used for generating fusion features corresponding to tiny targets; and the head network comprises a detection head corresponding to the tiny target and is used for obtaining a target detection result corresponding to the fusion feature based on the fusion feature. By adopting the method, the detection accuracy under the complex aerial image can be improved.

The invention provides an emergency first-aid medical information management method and system based on a block chain and a distribution mode, and relates to the technical field of medical information management, and the method comprises the steps: obtaining first-aid event information, generating an identification code, pushing the identification code to a block chain node through a distributed network, generating a credible record through employing a hierarchical consensus and rule engine, and storing the credible record. And determining an optimal rescue path in combination with real-time data, and triggering a rescue instruction and executing tracking through an intelligent contract. According to the invention, the safety of emergency information transmission is improved, the rescue resource allocation efficiency is optimized, and the traceability of the cross-mechanism cooperative rescue process is ensured.

The invention discloses an unmanned aerial vehicle path planning method and system for a complex urban environment, and relates to the technical field of unmanned aerial vehicle path planning. According to the method, a plurality of algorithms are deeply fused, and a combination mode and an information transmission and optimization result inheritance mechanism between stages are beneficial to path planning of the unmanned aerial vehicle; a self-adaptive learning factor with a time-varying period is designed, the global exploration and local development balance capability of PSO is remarkably improved, and the population diversity and the global search capability are enhanced; through rapid global guidance of PSO, population dynamic enhancement of SSA, solution space depth optimization of GA and final precision improvement of LS, the path of the unmanned aerial vehicle can be rapidly and efficiently planned.

The invention relates to the technical field of virtual power plant fault early warning, in particular to a virtual power plant fault early warning method based on a hierarchical interactive causal graph Transform, which comprises the following steps: establishing a three-level hierarchical interactive causal graph; according to a multi-resolution causal distillation mechanism, global causal association modeling is carried out on an encoder-decoder architecture of the Transform; a multi-level contrast causal attention mechanism is introduced into a Transform model for automatic quantitative analysis; performing false correlation elimination on the inter-layer complex causal relationship according to a high-order Markov random field framework; constructing an interlayer information transfer mechanism model based on the conditional variational graph diffusion model and the actual interlayer complex causal relationship; optimizing the interlayer information transmission mechanism model; and identifying a potential cascade fault path of the virtual power plant according to the optimized interlayer information transfer mechanism model. According to the method, the potential cascade fault path can be accurately identified, and the early warning accuracy of the virtual power plant in a complex fault scene is remarkably improved.

The invention belongs to the field of hydrological data processing, and particularly discloses a runoff data interpolation model construction method and system. The method comprises the following steps: constructing a time sequence runoff data set on the basis of spatial and temporal distribution characteristics of hydrometric stations of a river basin; a space-time coupling interpolation model architecture is constructed and comprises an encoder and a decoder, the encoder comprises a Bi-LSTM module and a multi-head attention module, the Bi-LSTM module extracts forward and backward local time sequence characteristics of time sequence data layer by layer through a bidirectional information transmission mechanism, the multi-head attention module is used for capturing a space-time relationship in the time sequence data, and the time sequence data is subjected to time sequence data processing. The decoder adopts a mask self-attention mechanism to combine with a feature weight fusion module to dynamically correct a missing value; and performing model training and optimization on the interpolation model by using the time sequence runoff data set. According to the invention, interpolation of key time sequence dynamic information in the hydrological field can be realized.

The invention relates to the technical field of artificial intelligence, and discloses a multi-agent platform cooperation system, method, device and medium, the system comprises an MCP protocol core layer, an agent management cooperation module and a tool unified calling engine; wherein the MCP core layer is used for defining standardized interaction rules and metadata specifications among intelligent agents, so that cross-platform data analysis and interaction operation can be carried out among different intelligent agents; the agent management cooperation module is used for receiving a to-be-executed task and processing the to-be-executed task through cooperation among multiple agents; the tool unified calling engine is used for intelligently calling tools required for executing the to-be-executed tasks for the corresponding agents in the process of processing the to-be-executed tasks through cooperation among the multiple agents. The multi-agent cross-platform cooperation efficiency can be effectively improved while the multi-agent information transmission matching performance can be improved.

The invention discloses a motor working condition monitoring method with a high-speed data transmission capability, and relates to the field of motor operation working condition detection and information transmission. The method comprises the following steps of: synchronously acquiring multi-dimensional time sequence data of a motor under multiple working conditions, and performing data segmentation, standardization, fixed-step downsampling, frequency domain conversion and feature fusion to form a multi-dimensional feature vector; then building a BiLSTM-Attention deep learning model, extracting bidirectional time sequence dependence of the sequence, focusing key time step features, and training to obtain a working condition monitoring model; the monitoring reliability is guaranteed through a dual detection mechanism, and high-speed synchronous transmission of multi-sensor data is realized based on an EtherCAT communication protocol stack. According to the method, through collaborative modeling of multi-dimensional time-frequency feature fusion and a deep learning model, a high-speed synchronous transmission protocol stack and a dual detection mechanism are combined, motor working condition feature expression can be remarkably enhanced, and high-precision data transmission and reliable monitoring can be achieved.

The invention provides a deep sea energy system life prediction method, and relates to the technical field of life prediction, and the method specifically comprises the steps: collecting the electrical characteristics of a battery and deep sea environment stress, and carrying out the standardization processing; constructing a deep sea environment degradation model, and constraining the physical characteristics based on the deep sea environment model; inputting the data into a physical branch network to extract consistency constraint features and physical initial priori; the standardized data, the physical enhancement features and the consistency constraint features are input into a lightweight data branch network, and deep residual information formed after the lightweight data branch network is pre-trained is transmitted to a physical branch network; and the RUL priori estimation output by the physical branch network and the data correction item output by the data branch form a final prediction, the final prediction is input into a Bayesian framework to derive posteriori distribution, and uncertainty quantization is carried out. According to the technical scheme, the problems of low service life prediction accuracy and relatively high computing resources of the deep sea energy system in the prior art are solved.

The invention discloses a satellite link transmission system and a satellite link transmission method, and relates to the technical field of wireless communication, and the system comprises the steps that a data collection terminal collects and transmits service data and service types, a switching fusion device constructs a plurality of satellite transmission links after receiving the service data and the service types, and determining transmission modes corresponding to different satellite numbers, orbit heights and retransmission mechanisms according to the satellite link state information, the service types and the service data. The service data is transmitted to the data analysis center in a transmission mode for decision analysis, and a decision control instruction is fed back to the data acquisition terminal for real-time field control. Different transmission modes are determined by switching the fusion device, and processing between the terminal and the data analysis center is carried out. Compared with an existing single high-orbit satellite transmission mode, important information can be transmitted at a low speed, the reliability of information transmission is guaranteed, conventional information can be transmitted at a high speed, the timeliness and transmission efficiency of signal transmission are guaranteed, and the utilization rate of satellite resources is increased.

The invention relates to the technical field of cultural tourism guide, in particular to a marine culture intelligent guide system based on artificial intelligence and the Internet of Things, which integrates multi-source data acquisition, context semantic understanding, user portrait construction, personalized content recommendation and adaptive content presentation, and the system acquires user voice, position, facial image and environment information, so as to realize the intelligent navigation of the marine culture. Accurate data acquisition is realized; the system combines semantic understanding and user portraits, dynamically generates interest models, recommends personalized marine culture contents to users, ensures effective information transmission through a self-adaptive presentation module, optimizes resource allocation through a distributed processing module, guarantees stable operation of the system, constructs a user-environment-cultural relic three-dimensional perception network, improves the acquisition precision by 65%, and improves the real-time performance of the system. The data dimension is obviously expanded, a comprehensive data basis is provided for intelligent navigation, and efficient and personalized cultural tourism experience is achieved.

The invention relates to the technical field of digital information transmission, in particular to an information security transmission method of a stadium security platform based on the Internet of Things. The method comprises the following steps: integrating a TPM 2.0 security chip to an Internet of Things sensing layer, and applying the TPM 2.0 security chip to gate equipment of a stadium; an electromagnetic locking / control device and a forced synchronization mechanism are arranged on the gate equipment, and physical locking control is carried out on the gate equipment; standardized identity information data are collected through an RFID identity verifier in the gate device; and controlling an electromagnetic locking / control device and a forced synchronization mechanism based on the standardized identity information data to generate a gate control instruction. According to the stadium security and protection platform, an efficient, safe and reliable stadium security and protection platform is constructed by integrating a TPM 2.0 chip, electromagnetic locking control, RFID identity verification, dynamic micro-isolation and a block chain technology.

The invention discloses a board card testing method, electronic equipment and a storage medium, and relates to the technical field of servers, and the method comprises the steps: obtaining parameter information of a to-be-tested board card, and calculating a matching degree value of an interface of the to-be-tested board card and a board card interface in a first preset rule base; the characteristics of the to-be-tested board card are accurately identified, the target control script of the board card test fixture suitable for the to-be-tested board card is determined, it is ensured that the matched script is used when the board card test fixture is connected with the to-be-tested board card, and the damage risk caused by version mismatching is avoided to a certain extent; meanwhile, the board card testing jig determines the target testing task according to the parameter information of the board card to be tested and executes testing, and automation and precision of the testing process are achieved. Therefore, the problems that the test accuracy is reduced and the security risk is increased due to the fact that the version change information is not transmitted in time or inaccurately are effectively solved, the dependence on manual checking of engineers is reduced, the working efficiency is improved, and the test accuracy and security are remarkably improved.

The invention provides a science and technology information deep analysis method and system based on cross-modal semantic enhancement, and relates to the technical field of science and technology information analys.The method comprises the steps that firstly, a cross-modal semantic anchor point set is constructed, and the cross-modal semantic anchor point set comprises text theme anchor points extracted from science and technology information texts, visual object anchor points extracted from images and the association mapping relation of the text theme anchor points and the visual object anchor points; constructing a semantic conduction path between anchor points based on the cross-modal semantic anchor point set, realizing bidirectional information transmission, generating a cross-modal semantic enhanced representation, performing hierarchical semantic analysis on the enhanced representation to obtain a topic association rule, a technical element dependency relationship and a concept evolution sequence, and integrating the topic association rule, the technical element dependency relationship and the concept evolution sequence into an analysis conclusion; the analysis conclusion is reversely mapped to adjust the association mapping relation strength, an updated set is obtained, finally, a structured science and technology information analysis report is generated based on the updated set, logic connection of all modules is achieved, and comprehensive and accurate science and technology information analysis is provided for users.

The invention discloses a universal multi-modal target tracking method based on space-time propagation and modal cooperation, and belongs to the technical field of computer vision. The method comprises the following steps: converting RGB and X modal images into a token form, and constructing initial features in combination with modal specific time tokens; the method comprises the following steps of: extracting a multi-level enhanced feature through a Transform encoder and a Mama collaborative prompt block; generating discriminative fusion features by using a gating fusion and context sensing module; a time-guided attention mechanism is adopted to strengthen search area features, and a result is output through a tracking prediction head; and transmitting the fusion time token as historical information to the next frame, and dynamically updating the template by combining a long-short time template updating strategy. According to the method, complementarity and space-time dependence between modes are effectively mined, tracking robustness and generalization ability in a complex scene are improved, and the method is suitable for various mode combination tasks such as RGB-D, RGB-T and RGB-E.

The invention particularly relates to an emergency broadcast intelligent early warning system applied to disaster prevention and reduction, and relates to the technical field of communication. The redundant communication and self-adaptive switching module is configured to establish a multi-mode communication network, monitor link states in real time and realize intelligent switching and load balancing of communication links based on a dynamic algorithm; an intelligent decision-making and precise broadcasting module; and the emergency broadcast terminal is connected with the offline execution module. According to the invention, a multi-mode communication architecture is established, each link monitors parameters such as signal strength, delay, packet loss rate and the like in real time, and intelligent switching and load balancing are carried out through a dynamic routing algorithm; and meanwhile, on the basis of memory thermal characteristic analysis, link faults are pre-judged in advance, switching is triggered, the success rate of early warning information transmission under extreme disasters is ensured, and the problem of transmission interruption of traditional single link communication under the scenes of power failure, base station damage and the like is solved.

The invention discloses an equipment management system and a server, and relates to the technical field of servers, and the equipment management system is characterized in that a topology identifier storage assembly for storing slot position signal source identifiers is moved to a server mainboard end, so that the occupation of mainboard connector pins by information transmission is reduced; and meanwhile, the management control component establishes and stores a corresponding relation between the address of the arbitration component and the screen printing area of the case. The adapter card does not need to be pre-bound and configured, can automatically identify the screen printing area of the case through the relationship by inserting any communication interface of the mainboard, and generates slot screen printing information in combination with the pre-stored signal source identifier. The problems that a large number of pins are occupied due to the fact that the adapter card hardware address signal identification configuration needs to be transmitted through a connector, and the adapter card needs to be bound with the fixed configuration and lacks flexibility in the prior art are solved. The technical effects of reducing pin occupation, realizing flexible plugging of the adapter card and automatic identification of screen printing, reducing hardware development cost and meeting the requirement of the server for reserving more bus interfaces for the connector are achieved.

According to the man-machine interaction system and method for robot training and data acquisition, a main device instruction system captures an operator hand posture generation instruction through a wearable sensor of an action acquisition subsystem, and meanwhile, the direction and strength information of force is transmitted by means of an annular vibration motor array of a tactile feedback subsystem; the data processing system is responsible for converting the attitude instruction into a mechanical arm control signal and processing feedback force data; the slave equipment responds to a multi-degree-of-freedom mechanical arm execution instruction of the system, and a force sensor collects environment interaction force data and transmits the environment interaction force data back; a robot self-learning module trains a diffusion model by using synchronously acquired time-aligned vision, trajectory and force feedback multi-modal data sets, a tactile feedback subsystem realizes force information transmission through single-motor direction mapping and PWM wave adjustment, and the self-learning module adopts DDIM to accelerate reasoning to generate an action sequence. And the autonomous operation capability of the robot in a complex scene is improved.

The invention relates to the technical field of big data analysis, and more particularly discloses a package design optimization system and method based on big data analysis, which analyze and optimize package design by using a product image and a package design image. The attractive force and the spreading effect of product packaging are improved in the modes of color adjustment, pattern optimization, information transmission improvement and the like, so that the high requirement of consumers for visual experience is met, and a packaging design scheme with better attractive force and information transmission effect is provided for the fields of beauty makeup commodities and the like.

Disclosed is an explainable method for monitoring a state of a generator of a wind turbine generator system on the basis of a spatio-temporal graph. The method includes: S1: acquiring data collected by a supervisory control and data acquisition (SCADA) system; S2: carrying out data understanding on the SCADA data, selecting features associated with the generator, and carrying out data preparation on the selected feature data, and obtaining valid data; S3: embedding the SCADA data, and forming a directed spatio-temporal graph data sequence; and S4: carrying out modeling of a normal behavior model of the generator on the constructed directed spatio-temporal graph data sequence, computing a full-graph-level residual and a node-level residual, computing a residual through an exponentially weighted moving average (EWMA) control chart method, carrying out full-graph-level state monitoring on the generator, forming a fault information transmission chain relation, and enhancing explainability and robustness of a monitoring result.

The invention relates to the technical field of emergency communication, in particular to a Beidou short message-based multi-mode emergency communication terminal, which comprises a Beidou communication module, a multi-source positioning unit, an information coding processor and a main control unit, the Beidou communication module is used for realizing short message communication with a Beidou satellite and supporting a BDS-3 protocol; the physical SOS button is provided with a mistaken touch prevention structure and comprises a mechanical pressing assembly with a triggering pressure threshold value larger than 2N and continuous pressing time verification logic; the multi-source positioning unit is used for acquiring position information including longitude, latitude and height; the information coding processor is configured to compress the collected help-seeking information to be within the capacity limit of a Beidou short message and generate a standard message of an emergency communication protocol; a standby power supply switching circuit is arranged in the main control unit, the main control unit is used for coordinating the work of each module and managing a power supply system, and the power supply system comprises a replaceable lithium thionyl chloride battery and a solar charging panel; and the low-power-consumption main control unit controls the Beidou communication module to transmit information to a Beidou communication satellite.

The invention relates to network information security and cryptography, and provides an AES-based network information data transmission security method, which comprises the following steps of: generating an information key, namely generating a round key through loop iteration; the encryption process of information data transmission comprises the following steps: encrypting a plaintext after preprocessing, and generating an intermediate ciphertext and an integrity verification label; in the information data decryption process, the plaintext is recovered through reverse operation after the label is verified; the data security constraint of the information is carried out, and a multi-level defense system is constructed; aP I mapping for information transmission, and calling an interface to realize encryption, decryption and authentication verification; information data encryption complexity is controlled, complexity is optimized, and big data are encrypted in a blocking mode; the information data security is guaranteed, and the transmission security is ensured. The method significantly enhances data security, improves transmission efficiency, constructs multi-level security defense, provides flexibility and adaptability, simplifies implementation and management, conforms to the future security trend, and provides an efficient, reliable and easy-to-use solution for network information security.

The invention provides a data transmission method and device, and the method comprises the steps: generating a first random number used for representing an environment Internet of Things (A-IoT) device, and enabling a second random number in the first random number to be used for indicating the access opportunity of the A-IoT device to send a first message; and sending a first message to a reader at the access opportunity indicated by the second random number, the first message comprising the first random number. In the scheme, if the first random numbers of a plurality of A-IoT devices are the same, the A-IoT devices inevitably send the first messages at the same access opportunity at the same time, so that the A-IoT devices fail to send due to mutual interference, the reader side cannot receive the same random numbers from different A-IoT devices, and competition conflicts are solved in advance. In addition, according to the scheme, no additional data and information transmission is added, and the original function of representing the A-IoT device of the random number is not influenced.

The invention is suitable for the technical field of unmanned aerial vehicle information transmission, and provides a self-adaptive multi-unmanned aerial vehicle information transmission system and method based on channel estimation, and the system comprises a channel modeling module, a communication scheduling module, a topology control module and a terminal sensing layer. The channel modeling module is used for estimating and predicting a wireless link state in a complex environment in real time through an improved Kalman filtering method; the communication scheduling module constructs a transmission decision module based on a reinforcement learning strategy, and realizes joint dynamic optimization of a communication link and a task execution path by introducing a Q-learning algorithm; the topology control module introduces a multi-objective optimization strategy based on a utility function to realize dynamic reconstruction of the network topology; the terminal sensing layer is used for multi-unmanned aerial vehicle distributed cooperative detection and multi-modal sensing data fusion; according to the invention, the edge collaborative fusion perception of multiple unmanned aerial vehicles replaces the traditional single-point detection, and the target recognition precision and the shielding robustness are significantly improved.

The invention relates to the technical field of data communication, in particular to a Beidou positioning information transmission system and method based on distributed base stations in a tunnel, and the method comprises the steps: setting a plurality of Beidou positioning base stations in the tunnel, and connecting the Beidou positioning base stations through an intelligent networking algorithm to form a network topology structure; cleaning and filtering the positioning data from the plurality of Beidou positioning base stations in sequence to output optimized data; determining whether the transmission stability of the positioning information meets the requirement or not according to the abnormal difference quantity of the voltage of the Beidou positioning base station; by adjusting the working mode of the fault Beidou positioning base station and determining whether the effectiveness of the intelligent networking meets the requirement based on the transmission delay duration of the optimized data, the defects of poor contact, poor reliability and the like caused by loosening of a power interface of base station equipment due to long-time use are overcome. And therefore, the transmission stability of the positioning information is reduced, and the transmission accuracy of the positioning information is low.

The invention provides an unmanned aerial vehicle navigation signal interference method and system based on an electromagnetic shielding array. According to the method, firstly, a navigation signal sent by a target unmanned aerial vehicle is monitored, positioning information transmission characteristics in the navigation signal are identified, then a periodic dynamic interference mode synchronous with a navigation signal transmission period is generated according to the positioning information transmission characteristics, and then, through spatial gradient barrier distribution of an electromagnetic shielding array, a dynamic interference mode is generated. Converting the periodic dynamic interference mode into directional space interference energy, and finally controlling the directional space interference energy to be continuously applied to a navigation signal receiving path of the unmanned aerial vehicle so as to complete navigation signal interference of the unmanned aerial vehicle. According to the technical scheme provided by the invention, a frequency hopping anti-interference mechanism of the unmanned aerial vehicle is effectively cracked, invalid energy consumption is remarkably reduced, the interference efficiency is improved, and error interference on non-target equipment is avoided.