4654 results about "Transmission technology" patented technology

The present invention relates to the technical field of data transmission. Disclosed is an application-driven three-dimensional spatial data transmission method. The method comprises: determining system key performance indicators (KPIs) by means of qualitative and quantitative analysis; constructing an AI-driven adaptive three-dimensional data transmission mechanism, and dynamically adjusting a transmission strategy on the basis of a real-time network state, a device capability, an application scenario and the KPIs; developing an adaptive compression algorithm set oriented to three-dimensional data, so as to meet differentiated compression requirements of different application scenarios; performing loop execution of a test, and adjusting and optimizing the data transmission mechanism and the compression algorithm set on the basis of a test feedback result and the real-time network state; and deploying an optimized transmission method to a production environment, and collecting field data to optimize the system performance and verify the achievement of the KPIs. By constructing a qualitative and quantitative analysis framework based on machine learning, the present invention quantifies differentiated transmission requirements of different application scenarios and formulates transmission strategies meeting the scenario requirements.

The invention discloses a real-time image video compression method for dynamic frame screening, and relates to the technical field of data compression and transmission, and the method comprises the steps: obtaining a power transmission line monitoring video stream, carrying out the importance analysis of a plurality of continuous frames through a multi-dimensional importance evaluation index, and generating an importance index; network bandwidth and computing power information are monitored in real time, and a screening threshold value is dynamically adjusted; and positioning the key frame and the redundant frame according to the comparison of the importance index and the screening threshold. The key frame is preferentially transmitted after being encoded by a preset encoder, and the encoder retains complete image information; and the redundant frame is subjected to lightweight compression or skipping processing through the differential processing module, and is transmitted after the key frame is transmitted. The technical problem that the stability and the real-time performance of video transmission are affected due to insufficient network bandwidth and equipment computing power resources in the prior art is solved, and the technical effects of reducing unnecessary data transmission and improving the real-time performance and the stability of video transmission are achieved.

The invention relates to the technical field of data transmission, and discloses an intelligent flight data transmission method and system based on satellite communication and a storage medium. The method comprises the following steps: carrying out real-time data acquisition and calculation on signal strength, bandwidth, delay and packet loss probability of an available satellite communication link to obtain a real-time link parameter table and a transmission channel allocation sequence; based on the real-time link parameter table, according to the priority information of the encrypted data packet queue and the transmission channel distribution sequence, performing multi-channel distribution and parallel transmission processing on the data packet to be transmitted to obtain a data packet transmission record; and carrying out statistical analysis and parameter calculation on the transmission success rate, delay time and retransmission times in the data packet transmission record to obtain transmission quality data and a system optimization parameter set. Under the condition of limited satellite communication resources, intelligent hierarchical transmission of flight data is realized, timely and reliable transmission of important data is ensured, and meanwhile, a real-time monitoring and optimization mechanism for data transmission quality is provided.

The invention relates to the technical field of data transmission, and discloses a signal I / O control device based on multiple protocols and a data transmission method thereof. The method comprises the following steps: initializing a multi-protocol signal I / O control device, and selecting a main controller; performing protocol characteristic analysis and protocol pre-configuration to obtain a plurality of pre-configured protocol schemes; performing data feature analysis and priority division on the data to be transmitted to obtain a multi-level priority data structure; carrying out transmission strategy optimization to obtain a target transmission strategy; network state change information is monitored in real time, a protocol switching mechanism of a DPPS algorithm is triggered, and dynamic protocol adjustment is carried out; in the data transmission process, exception detection is executed to obtain exception information, and a two-stage exception handling mechanism is executed to perform fault recovery and transmission performance evaluation to obtain a transmission performance evaluation report, so that timely transmission of important data is ensured, and the quality and reliability of data transmission are improved.

The invention discloses a multi-sensor fusion positioning mapping and thermal imaging device and a computer readable medium. The equipment integrates positioning mapping sensors such as a thermal imaging camera, a visible light camera, a laser radar and an inertial navigation system, and is specially designed for high-risk and complex fire emergency environments. Through an end-cloud integrated cluster cooperation system and a multi-link stable transmission technology and in combination with intelligent decision support, high-precision real-time positioning and dynamic 3D temperature measurement mapping can be realized in an environment in which satellite navigation signals are weak or unavailable. The multi-mode portability and environmental adaptability design of the system ensures the high efficiency and safety of an operator / unmanned system under extreme conditions, and the advanced data processing and analysis technology of the system significantly improves the accuracy and response speed of rescue operation. Due to the innovative characteristics, the method has remarkable practical application value and market prospect in the field of fire-fighting emergency rescue.

The invention provides an unmanned aerial vehicle intelligent routing inspection method for routing inspection of energy facilities, and the method comprises the steps: carrying a high-definition camera and a thermal sensor through an unmanned aerial vehicle, carrying out the routing inspection of the energy facilities, collecting a visual image and thermal imaging data in real time, and transmitting the data to a server side. And the server performs processing, analysis, risk classification and anomaly detection on the data by using various recognition training and deep learning models. The unmanned aerial vehicle acquires three-dimensional information by using a simultaneous positioning and map construction technology, constructs a three-dimensional map, and plans a routing inspection path by using an RRT algorithm, thereby realizing multiple functions. Potential risks are identified by using a deep learning technology, and early warning and automatic obstacle avoidance are realized. The edge calculation unit processes the data in real time and transmits the data to the ground control center, and further analyzes and predicts the risk trend. The system integrates a plurality of advanced modules, realizes efficient, intelligent and automatic inspection by using deep learning, edge computing and high-speed data transmission technologies, reduces cost and risks, and provides powerful support for safety management of energy infrastructures.

The invention discloses a low-delay adaptive wireless audio transmission method, and relates to the technical field of audio data transmission. The invention relates to a low-delay self-adaptive wireless audio transmission method, which comprises the steps of audio signal acquisition and coding, priority scheduling and time slot allocation, wireless channel transmission and interference resistance, congestion control algorithm optimization, decoding and reconstruction of a receiving end, and dynamic buffer management and delay optimization. According to the method, low-delay transmission of audio signals is ensured through a plurality of technologies such as priority scheduling, time slot allocation, dynamic buffer management and adaptive coding, the stability of audio transmission is remarkably improved by combining congestion control, forward error correction (FEC) and adaptive interference elimination technologies, and even in a complex wireless environment, the stability of the audio transmission is greatly improved. And the audio signal can keep high quality, and the transmission stability is ensured by quickly responding to channel change, eliminating interference, correcting errors, reducing packet loss and retransmission.

The invention discloses a link reliability tracking and optimizing method combined with real-time monitoring, and relates to the technical field of data transmission. Comprising the following steps: constructing a topological graph of a full link based on component information and a data flow relationship of a data medium station, and deploying a data acquisition probe to acquire link data in real time; a potential fault or an abnormal link is automatically identified; based on the data map, sorting the data dependency relationship of the upstream and downstream of the link, recording the relevance and dependency path of each component, and forming an accurate link blood relationship map; link abnormal conditions are captured and backtracked, log information is summarized in a unified mode, and centralized analysis and problem positioning are carried out; and on the basis of operation historical data of the link, according to the time sequence prediction model, identifying a bottleneck and a high-risk area in the link, dynamically adjusting a transmission strategy of the link, and optimizing load balance and a link priority of a station in the data in real time. According to the invention, the influence on the service when the fault occurs is reduced, and the abnormal problem positioning efficiency is improved.

The invention discloses a data transmission method, a protocol converter and a monitoring system of energy storage equipment, and relates to the technical field of data transmission. The protocol converter can obtain the protocol characteristics of the communication protocol adopted by the energy storage equipment, and identifies the target protocol type of the communication protocol based on the protocol characteristics. And then, the protocol converter can perform data format conversion on the data to be transmitted based on the target protocol type, and then transmit the data after format conversion. That is, the protocol converter can adapt to communication protocols of different energy storage devices so as to interact with the energy storage devices of different communication protocols. Therefore, on one hand, efficient and unified monitoring of the energy storage devices with different communication protocols can be realized through the protocol converter, and the compatibility and monitoring efficiency of the energy storage devices with different communication protocols are improved; and on the other hand, the monitoring system comprising the protocol converter can adapt to energy storage equipment with continuously changing communication protocols, and the flexibility and expandability of the monitoring system are enhanced.

The invention discloses a Beidou short message communication transmission method applied to the electric power field, relates to the technical field of electric power communication, and aims to solve the technical problems that the current communication transmission technology cannot meet the communication transmission requirements of electric power equipment under extreme conditions and cannot ensure that key information is preferentially transmitted in an interfered environment under emergency conditions. Comprising the following steps: communication guarantee and short message communication in a non-signal area: installing a high-performance Beidou short message communication module for power equipment in the non-signal area such as a mountainous area and a depopulated area, monitoring the running state of the equipment in real time through the high-performance Beidou short message communication module, and periodically sending parameter information to a monitoring center; according to the method, communication guarantee is provided for the power equipment in the non-signal area by taking the power equipment as a relay node, short message transmission is optimized after a natural disaster occurs and in a special scene, smooth communication is guaranteed, and priority transmission of key information in an interfered environment is guaranteed in an emergency.

The invention discloses a communication transmission control cabinet based on big data, and relates to the technical field of communication transmission, and the control cabinet comprises the steps: introducing a real-time network state perception and prediction module, collecting the data of a link through an embedded sensor, carrying out the prediction through combining with an LSTM time sequence model, carrying out the estimation of a future link state, introducing a multipath transmission mechanism, and carrying out the real-time network state perception and prediction. When tasks are distributed, bandwidth, delay and load conditions of paths are synthesized, batch uploading is performed through caching and compression strategies of edge computing nodes, occupation of links is effectively reduced, when link performance is reduced, a path switching mechanism can select alternative paths with optimal performance in real time, influences of link interruption on communication tasks are avoided, and meanwhile, the communication efficiency is improved. According to the high-real-time task priority strategy, an optimal path is adopted, delay of key tasks is reduced, non-real-time tasks are compressed and processed in batches at edge nodes, resources are not competed with real-time tasks, interference is avoided, and the requirements for ship navigation and real-time monitoring tasks are met.

The invention provides a monitoring video transmission method and system based on wireless communication, and relates to the technical field of monitoring video transmission, and the method comprises the steps: obtaining and preprocessing network state data, the network state data comprising bandwidth, time delay and packet loss rate; establishing a network state prediction model based on the LSTM neural network, and predicting a future network state according to the network state prediction model; based on the future network state, a multi-objective optimization algorithm is adopted to perform transmission path selection; and for the selected transmission path, video coding parameters are adjusted, the coding parameters comprise a code rate, a resolution ratio and a frame rate, and a self-adaptive transmission protocol is adopted to dynamically adjust the transmission rate according to a real-time network state. According to the method, different paths can be dynamically selected, network congestion or degradation is avoided, and the video transmission quality and rate are adaptively and flexibly adjusted according to the current network state, so that stable transmission of the video quality under different network conditions is ensured.

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 discloses a data security transmission method for an edge gateway of the Internet of Things, particularly relates to the technical field of data transmission, and is used for solving the problem that an encryption mode of existing low-power-consumption equipment is not flexible in data encryption transmission. Sensing data are collected and preprocessed through low-power-consumption equipment; analyzing a multi-dimensional load state of a communication channel through network state tensor decomposition, and evaluating a future load change risk; time distribution of encryption and decryption links is analyzed through a distributed time optimization game, and link delay balance is evaluated; and dynamically adjusting whether to use the lightweight encryption algorithm based on the analysis result. When a lightweight encryption algorithm is selected, the equipment encrypts data to generate preliminarily encrypted data and transmits the preliminarily encrypted data to the edge gateway; and the edge gateway performs high-strength encryption upgrading on the preliminary encryption data to generate deep encryption data and transmits the deep encryption data to the cloud server. According to the invention, the energy consumption of the low-power-consumption equipment is reduced while the data security is ensured, and the reliability of data transmission is improved.

The invention relates to the technical field of data compression and transmission, in particular to a dynamic data compression and transmission system and method based on big data. The method comprises the following steps: a data acquisition and processing unit acquires original data from various data sources and processes the original data; the data compression execution unit compresses original data through an LZ4 compression algorithm, and introduces a layered matching DEW-LZ4 technology based on dynamic entropy weight into the LZ4 compression algorithm to optimize the compression process; the data transmission unit performs network transmission on the compressed data through a transmission protocol HTTPS, and dynamically adjusts transmission parameters by adopting a machine learning Q-Learning model according to a network state; and a receiving end decompression unit obtains the transmitted compressed data from the network, decompresses the compressed data by using an LZ4 decompression algorithm, and recovers the compressed data to an original data format. According to the design of the invention, by introducing a layered matching DEW-LZ4 technology based on dynamic entropy weight, the system can intelligently select an optimal compression strategy according to different characteristics (Shannon entropy values) of data.

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 packet transmission, and discloses a data packet transmission control method and device for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: obtaining a signal strength parameter, a power consumption parameter, a transmission rate parameter and an environment parameter of the dual-mode Bluetooth chip, inputting the parameters into a deep time convolution network, and carrying out the time sequence feature extraction, obtaining a transmission mode switching judgment result; calculating transmission state evaluation data; the chip transmitting power is adjusted in a grading mode, standby power consumption is controlled through a nanoamp LDO circuit, and a dynamic power control parameter is obtained; performing compression coding on the data packet to obtain a dual-mode transmission protocol configuration parameter; executing time sequence sampling, and constructing a dual-mode state feature sequence; the data packet delivery success rate, the end-to-end transmission time delay and the total power consumption of the system are calculated, transmission control parameter optimization is carried out through double-layer deep reinforcement learning, target transmission control parameters are obtained, and the optimal balance of the transmission performance and the power consumption of the dual-mode Bluetooth chip is achieved.

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 discloses a mine tunnel operation period deformation monitoring method and system, and relates to the technical field of mine tunnel monitoring, and the method comprises the following steps: carrying out the real-time monitoring of the deformation condition in a mine tunnel through a sensor device, and transmitting the collected monitoring data to a data processing center through a wireless transmission module. Real-time monitoring of mine tunnel deformation is achieved through the multiple sensors and the wireless transmission technology, the problem of data lag is solved, and monitoring accuracy and timeliness are improved. And in combination with a multi-objective optimization algorithm, the system automatically adjusts key parameters such as a supporting structure and a mining sequence according to real-time data, so that an optimal safety control scheme is ensured. According to the system, the operation efficiency and safety are improved, manual misjudgment is reduced, and the control strategy can be continuously optimized according to the operation stage.

The invention discloses a wireless communication network data secure transmission method and system, and relates to the technical field of secure transmission. During system operation, agricultural monitoring data are collected in real time through various sensor devices arranged in an agricultural environment, encryption processing is performed by using a symmetric encryption algorithm, and a dynamic key length adjustment mechanism is supported; a random number generator is integrated, unified management is performed on key generation, distribution, updating and destruction in a system, a timestamp or a random serial number is embedded into each data packet, the uniqueness of the timestamp or the serial number is verified at a receiving end, so that replay attacks are resisted, and the data are comprehensively analyzed and evaluated according to a set algorithm, so that the replay attack is prevented. The method comprises the following steps: acquiring a security data transmission performance index SDTP through calculation, generating a monitoring report, detecting abnormal conditions in a data transmission process, including channel quality reduction, data loss or verification failure, and providing a visual monitoring result.

The invention discloses a wireless charging method for an unmanned aerial vehicle group, and the main points of the technical scheme are that the method comprises the following steps: S1, integrating a wireless charging receiving module, a communication module and an electric quantity monitoring module on each unmanned aerial vehicle; s2, when the electric quantity of a certain unmanned aerial vehicle is lower than a preset threshold value, the unmanned aerial vehicle sends a charging request to a nearby unmanned aerial vehicle and / or a charging base station through a communication module; s3, the charging scheduling system selects an optimal charging source (unmanned aerial vehicle or charging base station) and a charging path through an intelligent scheduling algorithm according to the real-time position, the electric quantity and the flight task state of the unmanned aerial vehicle group; s4, the unmanned aerial vehicle receives electric energy from the selected charging source through the wireless electric energy transmission technology, and charging is completed; according to the wireless charging method, efficient charging of the unmanned aerial vehicle group is supported, the optimal charging position is intelligently selected through the automatic moving charging base station, the wireless charging module adapts to different flight attitudes, the collision risk is reduced through the dynamic navigation function, and stable operation in various environments is ensured.

The invention belongs to the technical field of power grid power transmission, and discloses a power grid intelligent power transmission line fault positioning system, which comprises the steps of collecting power operation data, spatial data and environmental data; correcting the power operation data based on the constructed power correction model to obtain corrected power data; performing topology establishment on the corrected power data and the spatial data by adopting a neural network algorithm to obtain a power grid topological graph, and performing graph decomposition on the power grid topological graph by adopting an ant colony algorithm to obtain B topological sub-graphs; constructing a fault prediction model for predicting a fault type; performing fault prediction on the B topology sub-graphs through a fault prediction model, marking the topology sub-graphs with predicted fault types as fault sub-graphs, positioning fault points in the fault sub-graphs through a particle swarm algorithm, and determining final fault point positions; and the positioning speed of the fault point location is greatly improved.

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 relates to the technical field of wireless high-definition audio and video transmission, and discloses a plug-and-play wireless high-definition audio and video transmission method and system.The method comprises the steps that foreground space texture features and audio and voice segments are obtained, and an initial feature set containing space and semantic features is obtained through semantic correlation analysis; a unified representation vector is output through multi-modal feature fusion, and a dynamic importance score is obtained by determining time sequence consistency, calculating an importance weight and performing normalization; and when the score exceeds a threshold value, segmenting the video frame in real time to determine an attention focus area and optimize a boundary, thereby generating an attention weight matrix, preferentially allocating bandwidth and forming a partition differentiation compression result. And in combination with a network bandwidth state, protection is enhanced for a key stream, the priority and the bit rate are dynamically adjusted, and high-quality audios and videos are output through decoding and recombination. According to the invention, the bandwidth allocation and compression strategy can be dynamically optimized, the transmission quality of a key area is guaranteed when the bandwidth fluctuates, and the audio and video transmission efficiency and experience are improved.

The invention discloses a distribution network multi-parameter data fusion fault positioning method and system, and the method and system achieve the omnibearing monitoring of a power distribution network fault through the collection of multiple types of data, such as electrical signals, video images, meteorological information and environmental parameters. Compared with a traditional fault positioning method of a single information source, the system can reflect the fault condition more truly, and the positioning accuracy and reliability are remarkably improved. Machine learning or a deep learning model is utilized to analyze fusion data, fault types and positions are automatically identified, intelligent diagnosis is realized, manual intervention is reduced, the operation and maintenance cost is reduced, and the processing efficiency and accuracy are improved. The real-time data acquisition and transmission technology guarantees the system to monitor in real time and rapidly alarm potential faults. According to the method, historical data and an expert knowledge base are combined, fault causes are deeply analyzed, accurate information and maintenance suggestions are provided for maintenance personnel, operation and maintenance decisions are optimized, and the maintenance efficiency and quality are enhanced. The system provides an efficient and intelligent solution for distribution network fault positioning.

A first access point (AP) receives from a second AP a first frame comprising a multi-AP frequency channel assignment for a multi-AP transmission, the multi-AP frequency channel assignment comprising a first frequency channel allocated to the first AP for the multi-AP transmission. The first AP transmits a second frame on the first frequency channel during the multi-AP transmission, and, on condition that the first frequency channel is different from a primary channel of the first AP, transmits a portion of a preamble of the second frame, comprising the multi-AP frequency channel assignment, on the primary channel of the first AP.

The invention relates to the technical field of data encryption and transmission, in particular to a power grid cross-domain operation and maintenance data secure transmission method and system based on encryption, and the method comprises the steps: pre-judging a current risk through a historical network security event, dividing a network environment into different risk intervals based on a risk level evaluation value, encryption strategies with different intensities are correspondingly matched, so that refined security management and control with higher risk and stronger protection are realized; a triple progressive identity authentication system of an equipment layer, a dynamic layer and a biological layer is constructed, a dynamic permission management and control mechanism driven by identity attributes and risk levels is constructed, a basic permission boundary is determined based on inherent identity attributes of an operation and maintenance terminal, and permission strength and validity period are dynamically adjusted in combination with a risk level evaluation value. And finally, generating an access control strategy only adapted to the current terminal, the current risk and the current access request, so as to perform data encryption and transmission through the target encryption strategy and the access control strategy, thereby ensuring the security of data transmission.

The invention relates to the technical field of high-frequency signal transmission, and discloses a high-frequency signal transmission optimization method for a radio frequency coaxial connector. The method comprises the following steps: acquiring an original electromagnetic parameter sequence when a high-frequency signal is transmitted in a target working frequency band in real time, wherein the original electromagnetic parameter sequence comprises an impedance change value, a dielectric loss factor and a conductor skin depth measurement value; layered feature analysis is carried out on the data, features of a basic transmission layer, an interface reflection layer and a medium coupling layer are separated out, and a layered electromagnetic feature set is generated; identifying a key performance influence section according to the set, constructing a non-uniform frequency domain analysis grid, dividing a reflection sensitive area by using a fine frequency band, and dividing a transmission stable area by using a wide frequency band; performing time-frequency joint simulation based on the grid, and extracting a full-band dynamic transmission response spectrum; and combining with the material electromagnetic property database to optimize the structure parameter configuration scheme, generating an optimization instruction set, and loading the optimization instruction set to a processing control system to execute physical structure dynamic adjustment operation.

The invention provides a data encryption transmission system and method, relates to the technical field of data encryption transmission, ensures basic safety of data transmission through AES pre-encryption processing, further introduces a data acquisition module and a data processing module, can monitor environmental parameters and operation state parameters in different time periods, and analyzes variation indexes of the parameters, so that the data encryption transmission can be realized. Dynamically adjusting an encryption strategy to adapt to different data transmission environments; through a matched decryption mechanism of an encryption lock and a decryption condition, the security of identity verification is improved; and the adaptive adjustment of the conformity threshold value M is realized through the dynamic adjustment module, so that the system can automatically adjust the security level when facing complex attacks, and the security and flexibility in the data transmission process are greatly enhanced.

The invention relates to the technical field of mobile communication transmission, and discloses a heterogeneous network multilink parallel mobile communication transmission method and system. A dynamic link aggregation module of the system collects link state parameters including signal strength, delay jitter and packet loss rate from a plurality of heterogeneous network interfaces in real time; a flow distribution decision module calculates available bandwidth weight of each link according to the data and generates a dynamic flow distribution strategy; the data fragment packaging module splits to-be-transmitted data into a plurality of data fragments according to the strategy, and adds a sequence identifier and a link identifier to each fragment; the multi-channel concurrent transmission module sends corresponding data fragments in parallel through a specified heterogeneous network link; and the receiving recombination verification module sorts the recombination data fragments according to the sequence identifiers, and detects the data integrity through a verification mechanism. According to the system, a set of complete multi-link parallel transmission solution is formed, and the problems existing in a traditional single link and an existing multi-link transmission technology can be effectively solved.