11157 results about "Information transmission" patented technology

The invention provides an encryption transmission method and system of a wireless information transmission communication base station, relates to the technical field, discloses the encryption transmission method of the wireless information transmission communication base station, and belongs to the technical field of wireless communication. The method comprises the following steps: receiving a communication signal and extracting identity authentication information and a signal characteristic parameter; performing identity authentication scoring based on a deep neural network, performing signal feature scoring through spectral analysis, and constructing a communication security assessment model; a key pair is generated by adopting an elliptic curve cryptographic algorithm, and data is encrypted after being subjected to confusion transformation and diffusion transformation; transmitting a key by using a quantum key distribution technology; and selecting an optimal transmission channel based on the operation state data of the communication base station, and performing data transmission by adopting interleaving coding and adaptive power control technologies. According to the invention, the security and transmission reliability of wireless communication are improved, and the anti-interference capability is enhanced.

The engineering management system based on digital twinning comprises a data acquisition synchronization module which acquires construction site data by using an Internet of Things device and a sensor; a digital twinborn model: constructing a digital twinborn model corresponding to an actual project based on the collected data; the twinborn model management module is used for constructing and maintaining a digital twinborn model of an engineering project; the data digitalization module is used for digitally processing the collected data, and comparing and analyzing the obtained point cloud data with a digital twinborn model to verify the integrating degree; the data analysis and decision-making module is used for evaluating project progress deviation by predicting project risks and generating corresponding decision-making suggestions; and the visual interaction module displays the digital twinborn model through a three-dimensional visual interface, and views an engineering state, historical data and a prediction result in real time through interactive operation, and aims to solve the problems of low data acquisition and processing efficiency, unsmooth information transmission and poor management collaboration in a traditional engineering management mode.

The invention relates to the technical field of encryption communication, in particular to a data encryption communication method and system applied to an intelligent cash register. The method comprises the following steps: collecting user touch data and equipment hardware fingerprints, and carrying out high-dimensional feature fusion coding to obtain a joint identity certificate; obtaining an original key negotiation protocol and transmission metadata of an opposite-end server, and executing multi-logic path mapping and channel encryption configuration to obtain distributed ciphertext channel parameters; encrypting the distributed ciphertext channel parameters and the corresponding transmission metadata, and then performing block content packaging and node hash calculation to obtain an audit chain hash block; performing homomorphic encryption processing on the obtained real-time transaction data to obtain a to-be-transmitted homomorphic ciphertext; and performing communication transmission anomaly detection on information transmission data acquired in real time, and triggering dynamic key re-negotiation so as to improve the communication feedback capability. According to the invention, the overall security and stability of data encryption communication between the cash register and the back-end server can be improved.

The invention discloses an emergency communication and positioning system and method based on a Beidou satellite. The method comprises the following steps: S1, collecting data in real time; s2, analyzing the emergency state of the user by using a context awareness algorithm; s3, under the condition that the satellite communication signal is stable, transmitting the emergency information to a rescue center according to the calculated priority, if the satellite signal is unstable or interrupted, constructing a self-organizing network, and continuing to transmit the emergency information; s4, dynamically selecting an optimal path based on an adaptive path optimization algorithm inspired by an immune system, and further optimizing path selection through a space-time perception algorithm; s5, according to a priority management mechanism, the emergency information with high priority is processed preferentially, and feedback information is sent; s6, if the first emergency information transmission fails, the system starts a redundant data transmission mechanism; and S7, continuously tracking the state change of the user, and dynamically adjusting the rescue scheme. According to the invention, the situation awareness and immune system optimization algorithm is combined to realize efficient transmission and feedback of emergency information.

An information transmission apparatus includes: a receiver configured to receive a capability query request of AI / ML transmitted by a network device; and a transmitter configured to feed back a capability query response or report to the network device according to the capability query request.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes of medical health, financial science and technology, cultural transmission and the like, and discloses a voice generation method based on multi-modal fusion, which comprises the following steps: collecting audio data to extract timbre features, and training a field feature timbre generation model; analyzing text semantic recognition emotion information, adjusting speech synthesis parameters, combining personalized information to construct a parameter mapping table, fusing to generate a synthesis control parameter sequence, aligning the synthesis control parameter sequence with character labels, visual elements and background music data, driving a domain feature timbre generation model, and generating synthesis data of synchronous speech, text, vision and music. Domain timbres are generated through timbre feature training, speech expression is optimized by combining semantic analysis and emotion recognition, user requirements are matched based on personalized information, and time alignment is performed by fusing text, vision and music data, so that the synthesized speech has domain features, emotion adaptability and personalization, and the speech quality is improved. And the voice immersion and the information transmission capability are improved.

The invention belongs to the technical field of digital information transmission, and relates to a vehicle-mounted ad hoc network security communication system and method based on an NTRU lattice cryptosystem, and the system comprises a message signature module, a message encryption module, a message decryption module, an identity authentication module, and a key exchange module. The message signature module carries out signature by utilizing a private key and a random polynomial dynamically generated by a pseudo-random number generator based on an NTRU lattice cryptosystem; the message encryption module encrypts a to-be-sent message by randomly selecting a temporary polynomial and combining a public key of a receiver; the message decryption module is used for decrypting the received ciphertext # imgabs1 # by using a private key and an inverse element # imgabs0 # of a module p of the private key; the identity authentication module is used for performing identity authentication; the key exchange module realizes secure key exchange between communication nodes in the vehicle-mounted ad hoc network through an improved Blom key distribution protocol. The system improves the security and communication efficiency of the vehicle-mounted network.

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 relates to the technical field of digital information transmission, and provides a communication network security situation prediction method and system based on big data, which break through the limitation of single data in the aspect of data fusion, integrate four large classes and 12 subclasses of multi-source heterogeneous data, and combine a dynamic weighting mechanism to make feature extraction more comprehensive and accurate; on the aspect of model architecture, CNN-Bi-LSTM-Attention three-level fusion and PSO optimization are adopted, spatial and temporal features are effectively captured, the convergence speed is increased, the prediction accuracy is high, and the false alarm rate is low; in the risk assessment aspect, a layered assessment system is constructed, and early warning is realized in combination with a dynamic threshold value and Monte Carlo simulation; the model training module innovatively adopts a federated learning mode, and the model generalization ability is improved while data privacy is guaranteed; the prediction analysis module deploys an optimization hybrid model, supports high-concurrency prediction and is short in response time; the visual decision-making module provides three-dimensional visualization and geographical drilling functions, and output data can be seamlessly connected with a third-party platform.

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.

An AI-driven system for personalized advertising in real time, where: ◯ an analytics unit to monitor and analyze user behavior in real time across multiple digital platforms such as websites, mobile applications, social media, and smart devices; the unit collects data on user engagement, browsing patterns, time spent, and content preferences to enable targeted, personalized advertising; ◯ a prediction module that predicts preferences and interests of a user, operatively connected to the user interaction data collection unit, wherein the prediction module uses machine learning models such as deep learning, recurrent neural networks (RNNs) and transformer-based architectures to predict interests of users based on historical interactions and inferred preferences; ◯ an emotion and sentiment analysis unit that assesses the user's mood in real time through computer vision, natural language processing (NLP) and voice analysis, whereby the analysis of facial expressions, voice pitch and linguistic mood is used to determine emotional states and receptivity to advertising content; ◯ an embodiment of a context awareness component in operational communication with the emotion analysis and mood unit, in some cases further augmented by various environmental and situational data such as the device type and its physical location, date and time, and the content processed in the device, processing methods, etc., in establishing adaptability and automatic ad placement to be as relevant as possible to the user and their status as prescribed; ◯ Use reinforcement learning algorithms and generative AI models to drive advertising with personalization engines. Creative elements, messaging, and presentations are dynamically adjusted in real time based on user responses to ensure advertising is personalized and always optimized for best performance; o a privacy-focused AI system with federated learning, differential privacy methods, and on-device AI processing to reduce targeted advertising while complying with international data protection laws such as the General Data Protection Regulation (GDPR) and California consumer privacy laws; o an operationally adapted ad delivery mechanism to engage with real-time bidding (RTB) networks, programmatic advertising exchanges and demand-side platforms (DSPs) and place advertisements through digital advertising networks, which guarantees the delivery of tailored advertising to the most relevant audience in real time; and o a contextual feedback loop in which the machine learning models used in the preference and interest prediction module and in advertising personalization The engine is continuously updated to reflect the latest user engagement data, improving personalization over time and optimizing advertising performance.

The invention discloses an unmanned vehicle formation cooperative hunting method, device and equipment based on pilot following, and a medium, and relates to the technical field of multi-agent control. The method comprises the following steps: determining role division of a leading vehicle and a following vehicle, planning a path by the leading vehicle through an improved fast random exploration tree algorithm, sending the path and a control strategy to the following vehicle in stages, dynamically adjusting the position and speed by the following vehicle according to an instruction, ensuring formation consistency and task execution, and realizing information sharing between unmanned vehicles through a communication network. The pilot vehicle broadcasts a path and a task instruction in real time, and the following vehicles receive and analyze the path and the task instruction and then dynamically adjust the motion trail, thereby ensuring the cooperative consistency of the formation and the efficient stability of information transmission; each vehicle executes a hunting task according to a task instruction and adjusts a motion track and speed in real time, the following vehicle keeps a formation according to a path instruction, the pilot vehicle dynamically adjusts a global path according to environment change and a target position, the instruction is updated in real time through a communication network, and finally effective hunting and capturing of a target are realized. The method is suitable for a target hunting task in a complex environment, and reliable technical support is provided for a multi-target complex scene.

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 discloses an oil depot full-process comprehensive management monitoring method and system, particularly relates to the field of oil depot full-process comprehensive management monitoring, and aims to solve the problems that data correlation analysis among different links is insufficient, and potential systematic risks are difficult to comprehensively identify and predict. A transfer entropy method is introduced into upstream real-time data and historical association mapping, information transmission strength between upstream and downstream key parameters is quantitatively analyzed, and an effective causal link is established; in combination with dynamic time warping and synchronous entropy correlation degree quantity, trace deviation characteristics are matched with downstream key parameter cluster information, and a deviation propagation path is accurately drawn; strictly judging a non-stationary conduction trend from the aspects of time and structure by using a multi-scale complexity increment index and cluster structure change measurement; on the basis, a mixed integer nonlinear programming optimization model is adopted, a downstream link pre-intervention strategy is quantitatively formulated, and efficient solving of parameter adjustment and early warning signal level decision is achieved.

The invention provides a power grid energy disturbance suppression method for electric heating gas state information transmission collaboration, and relates to the technical field of information, and the method comprises the steps: obtaining multi-source heterogeneous state information of an electric heating gas energy network; aiming at the multi-source heterogeneous state information, dynamically converting a heterogeneous communication protocol into a unified protocol format by adopting a self-adaptive communication protocol conversion technology; and for the decoupled state information, parallel processing is carried out by adopting a distributed stream computing framework, so that the real-time performance and expandability of state information processing are improved. A distributed stream computing framework is adopted to construct an efficient processing assembly line, the block chain technology is utilized to guarantee the integrity and reliability of data transmission, a deep learning algorithm is applied to construct an intelligent analysis model, a multi-energy-flow coupling relationship and an evolution law are mined, and a multi-energy-flow analysis result is obtained. According to the method, data processing results of all links are fused to form a global state information view, decision support is provided for power grid energy disturbance suppression, and efficient processing, analysis and visualization of the state information of the electric heating gas multi-energy flow system are achieved.

A user equipment (UE) is described. The UE may include receiving circuitry configured to receive a first radio resource control (RRC) message comprising first information used for configuring a Semi-Persistent Scheduling (SPS) physical downlink shared channel (PDSCH) configuration, to receive a second RRC message comprising second information used for configuring that deferring of SPS hybrid automatic repeat request-acknowledgement (HARQ-ACK) is supported, to receive a third RRC message comprising third information used for configuring cell switching (based on semi-static configuration and / or dynamic indication), and to receive, based on a detection of a physical downlink control channel (PDCCH) carrying a downlink control information (DCI) format with cyclic redundancy check (CRC) scrambled by a first radio network identifier (RNTI) for an activation of the SPS PDSCH, the SPS PDSCH transmission. The UE may also include transmitting circuitry configured to transmit HARQ-ACK information and configured to defer the HARQ-ACK information transmission.

The invention relates to the technical field of image recognition, and discloses a flame-retardant material surface defect image recognition method, device and equipment and a storage medium, and the method comprises the steps: carrying out the multi-angle image collection and preprocessing of a flame-retardant material combustion test sample, and obtaining a standardized multi-view image data set; performing multi-model feature extraction and feature matching processing to obtain a material defect representation vector set and a defect semantic feature set; constructing a self-adaptive connection structure and a hierarchical defect map; performing multi-layer information transmission and topological relation explicit modeling through a depth map neural network to obtain a defect node depth representation set and a material defect relation matrix; domain invariant feature extraction and structural consistency constraint are carried out, material-independent defect type distribution and defect severity quantification results are obtained, defect features of all angles of the surface of the flame-retardant material can be comprehensively captured, remote interaction characteristics between defects are extracted, and the discrimination capability of defect feature representation is enhanced.

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 disclosure relates to a method and apparatus for transmitting and receiving signals in a wireless communication system. A user equipment (UE) according to an embodiment of the disclosure may receive information about a resource for uplink (UL) control information transmission and MA signature configuration, determine based on the resource for UL control information transmission whether the resource allocated for the UL control information transmission overlaps a resource allocated for UL data transmission, determine whether to multiplex the UL control information when it is determined that the resource allocated for the UL control information transmission overlaps the resource allocated for UL data transmission, and based on a result of the determining, multiplex the UL control information with UL data based on the information about the MA signature configuration and transmit a result of the multiplexing.

The invention discloses an information encryption method for wireless electronic countermeasure, and relates to the technical field of wireless transmission. According to the method, the wireless channel state is monitored in real time, the channel quality evaluation model is established, and the adaptive frequency adjustment algorithm and the cognitive radio technology are combined, so that whether the channel meets the communication quality requirement or not can be accurately judged, the influence of interference and attack on communication is effectively avoided, the continuity and stability of the communication process are ensured, and the communication quality is improved. The adaptability and the reliability of a communication system in a complex electromagnetic environment are remarkably improved, the quantum key is generated based on an encryption communication protocol of quantum key distribution, extremely high security of the key is ensured, communication data are difficult to crack in the encryption transmission process, security threats such as eavesdropping and tampering are effectively resisted, and the security of the communication system is improved. And through a secret key pre-distribution mechanism and a secret key updating process, the insufficient secret key distribution rate and the potential security risk are dealt with, the security of communication is further enhanced, and the confidentiality and integrity of information transmission are ensured.

The invention relates to an unmanned intelligent excavator system which is composed of a plurality of functional modules and is characterized in that various sensors and actuators are integrated through a hardware design module to provide basic support for subsequent operation; the environment sensing and positioning module collects three-dimensional point cloud data of an operation area in real time by using a multi-sensor fusion technology, realizes accurate positioning and environment sensing, and transmits the information to the planning module; the planning module formulates a driving route of the excavator and an operation track of the mechanical arm according to the received data, and sends the driving route and the operation track to an upper computer or a mobile terminal through the central control communication module to allow remote monitoring and control; and the lower computer communication module is responsible for transmitting a planned path instruction to an execution mechanism and driving a machine to execute a predetermined task. According to the system, a closed-loop control mode is adopted, high efficiency and safety of the excavator in bulk cargo cabin cleaning and coal stacking operation are guaranteed, and the wide potential of the excavator in future power plants and bulk cargo wharfs is shown.

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 discloses a power grid visual diagnosis system based on multi-source data fusion, and relates to the field of power grid diagnosis systems. The system comprises an information acquisition module, an electrical fault alarm module, a non-electrical quantity fault alarm module, a fault discrimination module, a communication module and a fault recording module. Firstly, information of a power grid is collected through the information collection module, then the information is transmitted to the electrical fault alarm module and the non-electrical fault alarm module for monitoring, corresponding actions are made when abnormity occurs, then the information is transmitted to the fault judgment module, input information is analyzed, and the fault type is obtained; meanwhile, the fault recording module records and broadcasts the power grid; the communication module collects information of other modules in the system and exchanges information with the monitoring system. According to the method, the abnormal information of the power grid is monitored and alarmed in combination with the multi-source data, and the fault type is judged through the data model, so that the omnibearing monitoring of the power grid is realized, and data support is provided for a subsequent maintenance plan.

The invention provides a digital asset-oriented network security management method and system. The method comprises the following steps: acquiring a digital asset list and a business process document, identifying keywords in the document by using a natural language processing technology, constructing an association relationship graph of digital assets and business processes, and discovering potential association; directly connected business process nodes of each digital asset are extracted from the incidence relation graph, an asset business influence range report is generated, and a many-to-many mapping relation between the assets and the businesses is displayed in a matrix form; in the review process, association and quantitative indexes, including a risk thermodynamic diagram, an influence degree scatter diagram and the like, among assets, risks and business processes are dynamically presented through a visualization technology, and a visual information transmission channel is provided for all parties; and after meeting review is consistent, qualitative influence analysis of the business department and quantitative loss estimation of the technical department are integrated into a business influence analysis result by adopting a fuzzy comprehensive evaluation method, and a comprehensive business influence level is obtained.

The invention relates to the technical field of information transmission, in particular to a multi-band processing system for electronic communication, which comprises a signal separation module, a frequency deviation compensation module, an amplitude correction module, a phase correction module and a dynamic feedback adjustment module. According to the invention, a plurality of frequency bands are extracted to execute band-pass filtering to separate signal components, short-time power spectral density is calculated to describe energy distribution, normalization coefficient operation is carried out to enhance frequency domain balance, high-energy component screening is carried out to reduce noise interference, signal effectiveness is improved, and frequency offset compensation calculates a change rate based on adjacent phase data and eliminates abnormal fluctuation. A time domain coefficient is adjusted to correct a frequency offset error, amplitude correction depends on short-time Fourier transform to screen the maximum amplitude to optimize signal consistency, phase adjustment fits a group delay error curve to optimize compensation parameters, dynamic feedback optimizes a strategy according to a signal-to-noise ratio to enhance compensation precision, and signal transmission quality and stability are 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 provides an electric power mountain fire disaster prevention emergency resource optimization scheduling method and system based on a satellite internet, and relates to the technical field of electric power disaster prevention emergency. Performing feature extraction and fusion on the multivariate data based on a convolutional neural network to obtain a processing result; performing evaluation according to an analytic hierarchy process in combination with the processing result to generate a weight factor and determine an evaluation quantification result; based on a sky-ground integrated electric power forest fire disaster prevention emergency resource scheduling system, the evaluation quantification result and the weight factor, establishing a target function; establishing constraint conditions of the sky-ground integrated power mountain fire disaster prevention emergency resource scheduling system; and determining an electric power mountain fire disaster prevention emergency resource scheduling optimization scheme according to the constraint condition and the target function. Fire monitoring and information transmission can be achieved from multiple dimensions, the communication resource utilization rate of a disaster area can be improved, and the overall fire extinguishing time of electric power mountain fire can be shortened.

The invention discloses a security risk assessment system and method based on the Internet of Things, and relates to the technical field of digital information transmission. According to the security risk assessment method based on the Internet of Things, whether hardware equipment can work normally or not is judged, and if the hardware equipment cannot work normally, early warning prompt is carried out; if the hardware equipment can work normally, evaluating the vulnerability degree of the Internet of Things platform; according to the method, the security risk of the Internet of Things platform is evaluated, the security risk level is obtained, and equipment faults and potential security vulnerabilities are found in time through systematic hardware and software evaluation. By judging the normal working state of hardware equipment, early warning can be effectively carried out, occurrence of security events can be reduced, and the vulnerability degree, the recovery capability and the data security of the platform can be comprehensively known, so that scientific risk level assessment is provided for enterprises, the enterprises are helped to formulate corresponding security measures and optimization strategies, security risks are effectively reduced, and the safety of the enterprises is improved. And the user data and privacy are protected.

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.