2246 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 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 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.

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 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.

The invention discloses a video monitoring system and device based on quantum encryption communication, and relates to the technical field of secure transmission of relay chain video data. The video monitoring system and device based on quantum encryption communication comprise the following modules: a data acquisition module for acquiring transmission data through front-end equipment and performing standardized preprocessing on acquired multi-modal data; the quantum encryption communication module is used for evaluating the security of the video data in a transmission process and dynamically adjusting a transmission strategy based on an evaluation result; the relay chain transmission module is used for analyzing the reliability of a relay chain link and optimizing a link load distribution mode; and the parallel chain data processing and collaborative analysis module comprehensively judges the collaborative response capability of the node in the data transmission process and generates an optimization report based on a judgment result. The problem that in the prior art, when high-intensity interference and data hijacking risks exist, the safety and reliability of a transmission link are difficult to guarantee is solved.

The invention discloses a bulk cargo supply chain data transmission method and system based on an intelligent transportation box, and relates to the technical field of logistics data transmission, and the method comprises the steps: collecting multi-modal sensing data in real time through a multi-source data collection interface of the intelligent transportation box; the intelligent transportation box edge calculation module performs cleaning, compression aggregation and key event intelligent identification on the data; a transmission strategy is adaptively selected according to the data type and the network state, a key event alarm message is immediately sent, data are locally cached when the network is interrupted, and subsequent transmission is recovered; transmitting the data to a cloud by adopting a secure communication protocol; the cloud receives management data and provides remote configuration, alarm notification and data visualization functions, the system comprises an intelligent transportation box terminal unit and a cloud service platform unit, data transmission reliability and efficiency are improved, bandwidth and cloud cost are reduced, cargo transportation safety is guaranteed, and the system is suitable for bulk cargo cross-regional transportation scenes.

The invention discloses a consistency interconnection processing device, a data transmission method, equipment and a heterogeneous system, and relates to the technical field of data transmission, the consistency interconnection processing device installed on the equipment is utilized, the consistency interconnection processing device comprises a consistency interconnection port and a consistency interconnection controller, the consistency interconnection controller controls the consistency interconnection interface to establish a consistency interconnection communication link between the devices and distribute a cache space from the devices where the consistency interconnection interface is located, so that consistency interconnection between the devices is achieved; the consistency interconnection controller monitors the cache line state of the device where the consistency interconnection controller is located and the cache line states of other devices and records the global cache line state table, when the consistency interconnection transaction request is executed, the global cache line state table is inquired according to the target data information and then the target access position is determined, actual memory access detection does not need to be carried out, and the memory access efficiency is improved. Therefore, the number of times of executing the consistency access is reduced, the consistency maintenance overhead of the consistency interconnection between the devices is reduced, and the memory access performance of the consistency interconnection between the devices is improved.

The invention discloses a road roller construction quality real-time monitoring system based on digital twinning, and relates to the technical field of road roller construction intelligent monitoring, and the road roller construction quality real-time monitoring system comprises a data acquisition module which uses a multi-modal fusion sensor network and edge calculation to comprehensively acquire and preprocess data; the digital twinborn model building module is used for modeling by combining physical-data dual drive with geological characteristics; the data transmission module is used for ensuring efficient and safe transmission by using a software defined network and a block chain; the real-time monitoring and analysis module is used for carrying out multi-scale space-time correlation analysis and generating virtual data; and the decision support module fuses deep reinforcement learning and a knowledge graph, supports man-machine cooperation decision, and provides intelligent suggestions for construction. According to the invention, the advantages are obvious, multi-modal acquisition and edge calculation ensure accurate and real-time data, a dual-drive model truly simulates construction, an advanced transmission technology ensures data safety, multi-scale analysis comprehensively evaluates quality, full-process coverage improves construction quality and management intelligence, and cost reduction and efficiency improvement are realized.

The invention discloses a geological disaster real-time monitoring method and system based on a ground sensing network, and belongs to the technical field of geophysical exploration, and the method comprises the steps: obtaining an acceleration parameter and a moisture content parameter of each sensor node; according to the change rate of the acceleration parameter and the moisture content parameter, identifying an environment sudden change event, generating an environment trigger signal to activate an emergency sampling mode of a target node and an adjacent node, and constructing a dynamic monitoring cluster; requesting a plurality of nodes in the dynamic monitoring cluster to synchronously measure similar parameters, and comparing measurement results to generate a compressed alarm packet; adjusting weight factors of different monitoring parameters by using the compressed alarm packet and pre-acquired real-time environment parameters, and generating an environment calibration risk index; and when the environment calibration risk index exceeds a preset risk threshold value, outputting a geological disaster early warning instruction. According to the method, multi-parameter cooperative triggering, dynamic cluster response, weight adaptive evaluation and compression transmission technologies are adopted, and the monitoring precision, timeliness and environmental adaptability can be comprehensively improved.

The invention discloses a lithium battery diaphragm whole-process production data transmission optimization method and system, and particularly relates to the technical field of data transmission. Sensor data of a lithium battery diaphragm whole process is collected through a sensor array, the sensor data is extracted to obtain actual process parameters, and the actual process parameters are compared with preset process parameters; outputting the abnormal data; based on a space-time topological structure of a sensor, calculating space-time-function coupling weights among abnormal data, constructing a structural coupling matrix, identifying error clustering candidate bodies, and extracting space-time distribution characteristics and abnormal combination modes of the error clustering candidate bodies; performing structural classification on the error clustering candidate bodies by utilizing a preset rule engine, and outputting a deviation report; and outputting a sensor calibration instruction and a process fine tuning instruction based on the deviation report, thereby solving the problems that the deviation source is difficult to accurately identify, the key abnormal data transmission is not timely and the false alarm rate is high.

The invention relates to the technical field of data transmission of the Internet of Things, in particular to a self-adaptive data compression and transmission method of a low-power-consumption wide-area Internet of Things. According to the method, a three-layer collaborative architecture comprising an equipment layer, a fog computing layer and a cloud computing layer is constructed, data preprocessing and feature analysis are performed on the equipment layer, and data types, entropy values and repeatability information are extracted; the fog calculation layer selects an optimal compression algorithm based on a multi-dimensional decision engine, and reduces redundancy through spatial-temporal correlation analysis and data aggregation; the cloud computing layer collects compression performance data, adopts reinforcement learning and federal learning to train a global optimization model, and dynamically issues strategy parameters; and the fog node adaptively adjusts a compression strategy in combination with the system state to realize the optimal balance between the compression ratio and the reconstruction precision. The method is suitable for field deployment environments with limited electric quantity and network, has the advantages of low power consumption, high efficiency, strong adaptability and the like, and can be widely applied to Internet of Things scenes such as remote monitoring, smart energy and the like.

The invention relates to the technical field of audio and video emergency transmission, and discloses an audio and video low-delay return method and system in an extreme environment. The method comprises the following steps: acquiring original multi-modal data of audio and video acquisition equipment in a target area, and analyzing a data state of the original multi-modal data; and meanwhile, available network transmission links are monitored, and the quality is evaluated. Self-adaptive coding parameters are generated in combination with the link quality and the data state, dynamic coding is executed on original data, and a coding stream suitable for redundant transmission is formed. And carrying out cooperative distribution transmission based on the network link set and the coded stream to generate return data. According to the generation process, a device and energy management instruction is formed and issued to the acquisition and relay device. According to the method, the network state and the content characteristics are optimized in a dynamic coding link in a collaborative manner, and the audio and video quality, the real-time performance and the system energy efficiency which are transmitted back in an extreme environment are improved through a feedback closed loop for transmitting a result to equipment management.

The invention discloses a zero-copy data transmission method and device, a medium and a product, and belongs to the technical field of data transmission, and the method comprises the steps that an application program requests a memory buffer area from a kernel module; the kernel module allocates a physical memory buffer area according to the request, and returns a specially designed descriptor (including a handle corresponding to an address pointer); the application program submits a descriptor to the kernel module and requests an address pointer of the memory buffer area; after the kernel module verifies the descriptor, the physical memory buffer area is mapped to a virtual address space of the application program, and a corresponding address pointer is returned; the application program writes data needing to be sent according to the address pointer, and after writing is completed, the descriptor is submitted to the kernel module and the written data is requested to be sent; after the kernel module verifies the descriptor, a DMA controller is configured and started, and the written data is directly read from the physical memory buffer area and pushed to a network card to be sent. According to the invention, the security and certainty can be improved while the transmission performance is ensured.

The invention relates to the technical field of high-frequency multichannel synchronous transmission, in particular to a time domain reflection compensation design method for high-frequency signal transmission loss, which comprises the following steps of: 1, responding to a synchronous trigger signal to generate an active reflection reference signal with a determined time domain position; 2, aligning time marks between channels through cross-correlation operation; 3, extracting a reflection feature template of the channel from the alignment signal, and recognizing and eliminating crosstalk components through convolution operation with an adjacent channel template; 4, constructing a time-varying transfer function model according to the amplitude envelope attenuation characteristic and the carrier phase jump characteristic of the reflection characteristic template; and 5, generating a compensation filter based on the time-varying transfer function model, and verifying the compensation effect through secondary reflection. Through cross-correlation operation, accurate alignment of multi-channel signal time scales is realized, the time delay difference between different transmission channels is overcome, signal synchronization of each channel is ensured, and the beam forming precision is improved.

The invention discloses an efficient storage and transmission method for monitoring data of a low-voltage power distribution network based on lossy / lossless hybrid compression, and relates to the technical field of data storage and transmission, comprising the following steps: completing data denoising correction at an edge node, and setting a plurality of compression strategies and layering mechanisms; judging whether the data is abnormal or not based on the mahalanobis distance, and selecting a proper compression mode through reconstruction error and bandwidth adaptation; the compressed data is subjected to importance labeling and FEC optimization and then sent to a receiving end, the receiving end evaluates the decoding quality and the packet loss rate, and finally a feedback result is used for online updating of the auto-encoder. According to the method, the differential FEC redundancy rate is allocated, so that the lossless fidelity of a key fault waveform and the high compression ratio of a common periodic signal are considered; and meanwhile, closed-loop self-adaption of compression discrimination, coding and model optimization is realized by utilizing online updating of the variable auto-encoder, so that the storage and transmission efficiency is improved, and the reliability and the real-time performance of the system in sudden failure and network fluctuation scenes are enhanced.

The invention belongs to the field of chip testing, and provides a test mode control circuit and method and a chip. The circuit comprises a data clock width identification module, a data time sequence generation module and a test control module, wherein the data time sequence generation module is respectively connected with the data clock width identification module and the test control module. The data clock width identification module receives test mode data and a clock single-line signal through an input / output pin of the chip, and processes the test mode data and the clock single-line signal to obtain a first signal; the data time sequence generation module receives test mode data and a clock single-line signal through an input / output pin of the chip, and processes the first signal according to the test mode data and the clock single-line signal to obtain a second signal; and the test control module detects the second signal, and if the second signal is matched with a preset signal, the chip enters a test mode. According to the invention, through a single-line transmission technology, the chip can enter a test mode only by multiplexing one input / output pin of the chip.

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 optical fiber transmission, and discloses a unidirectional optical fiber transmission system, which comprises a first optical splitter, a second optical splitter, a third optical splitter, a first optical fiber, a second optical fiber, a first filter, a second filter, a first detection module, a second detection module, an optical switching module and a control module, when the first optical splitter receives optical signals and outputs the optical signals to the first optical fiber and the second optical fiber respectively, the control module controls the optical switching module to gate the second optical splitter to receive the optical signals transmitted by the first optical fiber according to detection results of the first detection module and / or the second detection module, or controls the optical switching module to gate the second optical splitter to receive the optical signals transmitted by the second optical fiber. Gating a third optical splitter to receive the optical signal transmitted by the second optical fiber; according to the technical scheme, the misjudgment rate is effectively reduced, and the accuracy and response speed of link switching are improved.

The invention belongs to the technical field of wireless information transmission, and provides a single link roaming switching device and method based on double wifi chip STA equipment, the technical scheme is that a communication link is established between a first network card and an AP, and a second network card is used for monitoring link state data of the first network card; the controller is configured to evaluate the channel quality of a current channel according to the link state data of the first network card acquired by the second network card, predict the time when the change rate is changed to be less than a signal quality threshold according to the change rate of the channel quality, and perform roaming when the predicted time is less than a time threshold; when it is detected that roaming is needed, the second network card is controlled to start to send the same content as the first network card, candidate APs in the network are scanned at the same time, a target AP is selected in a self-adaptive mode according to the channel quality, obtained through calculation, of the candidate APs, and the first network card is controlled to select the target AP to establish a link. The effective utilization of bandwidth is improved, and the probability of air interface data conflict is reduced.

The invention relates to the technical field of Internet of Things communication transmission, and discloses an Internet of Things data intelligent transmission method and system, and the method comprises the steps: abstracting the performance of a multi-source heterogeneous link through a software defined network controller, dynamically generating a slice template, carrying out the traffic marking and priority scheduling, constructing a multi-path target constraint optimization model, and carrying out the optimization of the multi-path target constraint optimization model. And in combination with a network function virtualization mechanism, multi-level intelligent transmission is implemented at edge nodes, and a final transmission control instruction is generated. In the prior art, in a heterogeneous multi-network environment, low-delay, high-reliability and high-bandwidth transmission cannot be guaranteed at the same time, and especially in an industrial automation scene, technical problems that a control instruction is easy to delay and a monitoring data bandwidth is limited exist. According to the invention, the overall transmission reliability and bandwidth utilization efficiency are improved through the dynamic priority traffic scheduling based on network slices, the multipath reliability product model and the dynamic batch processing and progressive compression technology based on real-time link feedback.

The invention belongs to the technical field of power supply transmission, and relates to a POE-POF power supply transmission method and system, and a storage medium. The method comprises the following steps: collecting electric quantity data of POE-POF power supply transmission network nodes in real time, and extracting a dynamic power feature set; identifying an abnormal power loss event based on the feature set and extracting an abnormal mode feature; abnormal path nodes are positioned by combining a POE-POF power supply transmission network topological structure, voltage and current distribution parameters are optimized, and an optimized power distribution scheme is generated; dynamically adjusting voltage and current values of a power supply path, evaluating an energy consumption trend and generating a trend data set; and adaptively adjusting the electric quantity acquisition parameters according to the energy consumption trend, updating the acquisition configuration and circularly executing the steps. According to the invention, intelligent detection, accurate positioning and dynamic optimization of abnormal loss of the power grid are realized, the stability and energy efficiency of the power supply network are improved, and the method is suitable for fine management and energy-saving optimization of the intelligent power grid.

The invention discloses an encrypted data transmission authentication system based on a security edge gateway, which belongs to the technical field of encrypted transmission, and specifically comprises an edge gateway cluster which is used for collecting traffic operation data in real time and comprises a roadside edge gateway node and a vehicle-mounted edge gateway node; the dynamic trust evaluation model is used for generating a real-time trust evaluation value according to the traffic operation data; mapping an encryption algorithm strength grade according to the trust evaluation value; the closed-loop feedback verification unit is used for performing byte-level comparison on the decrypted data content and the original data content transmitted by the transmitting end, and updating parameters of a dynamic trust evaluation model according to a comparison result; the double-track authentication unit is used for automatically switching to an emergency rapid authentication channel when an emergent traffic event occurs, and automatically switching to a standard authentication channel when the traffic event is relieved; according to the invention, intelligent dynamic balance between the security protection strength and the communication efficiency is realized.

The invention discloses a memory signal integrity enhancing system based on multi-dimensional parameter self-adaption, and belongs to the technical field of signal transmission. The system comprises a multi-dimensional signal acquisition module, a multi-dimensional parameter analysis module, a self-adaptive adjustment module, a memory signal optimization module and a feedback monitoring module, the multi-dimensional signal acquisition module is combined with multi-dimensional parameter analysis, signals of a data bus, an address bus and a control bus are synchronously acquired, a dynamic adjustment strategy is generated according to a model, and the self-adaptive adjustment module and the memory signal optimization module are optimized according to the dynamic adjustment strategy. Different optimization means are adopted for different parameter types, a customized optimization system with one parameter and one scheme is formed, it is ensured that the optimized target signal is optimal in amplitude stability, time sequence accuracy, anti-noise capacity and impedance matching degree, the feedback monitoring module is combined with the multi-dimensional parameter analysis module, and the multi-dimensional parameter analysis module is combined with the feedback monitoring module. And through full-dimension index monitoring and dynamic calibration, the continuous adaptability of the system to the running state of the memory and the long-term stability of signal integrity are guaranteed.

The invention relates to the technical field of data analysis and control, in particular to a hydraulic climbing frame safety control method based on digital monitoring, which comprises the following steps: acquiring monitoring data in real time through a sensor group arranged on a hydraulic climbing frame, preprocessing and analog-to-digital conversion are carried out on the monitoring data, then the data are formed and sent to a remote monitoring center through a wireless transmission technology, and the preprocessed monitoring data are input into a pre-stored structure safety evaluation model and a hydraulic system performance evaluation model so as to be analyzed in real time; analyzing the hydraulic climbing frame, judging a safety characterization state of the hydraulic climbing frame according to an analysis result, determining a safety risk type based on an abnormal state of the hydraulic climbing frame, sending early warning information through a user interaction platform when a risk is judged to exist, and executing a corresponding safety control instruction; automatic real-time monitoring, intelligent early warning and active control of the safety state of the hydraulic climbing frame are achieved, and construction safety and operation reliability are remarkably improved.

The invention relates to the technical field of industrial internet data secure transmission, and discloses an industrial internet data secure transmission method based on quantum key distribution, and the method comprises the steps: obtaining a data transmission request, and determining the channel feature parameters of a data unit; calculating a quantum key generation index, and generating a key input set; loading a quantum key distribution model, and determining dynamic key parameters; marking parameters to generate a secure transmission map; and performing data integrity detection, and performing encrypted transmission based on a detection result. When parameter conflicts are detected, fusing parameters according to path priorities; parameter differences are monitored in real time after transmission, and the secret key is corrected when the parameters are abnormal. The pre-configured quantum key distribution model is constructed through historical data training. And when the secure transmission map is generated, the dynamic key parameters are superposed to a three-dimensional channel map layer containing transmission path topology, quantum state preparation parameters and bit error rate conditions for visualization. Dynamic and secure transmission of industrial internet data is realized, and the security and reliability of transmission are improved.

The invention discloses an alternating-current and direct-current fault protection method of a hybrid commutation converter valve and related equipment thereof, and relates to the technical field of high-voltage direct-current power transmission. The method comprises the steps of obtaining an AC voltage of an AC side, a target trigger angle of a hybrid commutation converter valve and a DC current of a DC side, and determining an extinction angle margin risk factor and a volt-second area margin risk factor according to at least one of the above, the extinction angle margin risk factor being used for representing a commutation success margin, and the volt-second area margin risk factor being used for representing a target trigger angle of the hybrid commutation converter valve; the volt-second area margin risk factor is used for representing the commutation driving capability; determining a commutation failure risk index based on the extinction angle margin risk factor, the volt-second area margin risk factor and the prediction confidence factor; and when the commutation failure risk index is abnormal, controlling and triggering the hybrid commutation converter valve to enter a corresponding commutation enhancement mode or an active turn-off mode based on the commutation failure risk index. According to the embodiment of the invention, active intervention can be carried out before the commutation failure is caused by the AC / DC fault, so that the commutation failure can be fully resisted.

The invention relates to the technical field of satellite communication data transmission, and discloses a satellite communication data transmission system of Internet of Things equipment. The environmental parameter acquisition module of the system is responsible for comprehensively acquiring various environmental parameters of the Internet of Things equipment in satellite communication and providing basic data for subsequent analysis. The learning model construction module establishes a data transmission prediction model by using the parameter data. And the transmission quality prediction module estimates the transmission quality of the satellite channel by means of the model. And the data behavior simulation module simulates the dynamic behavior of the data packet in the channel according to the transmission quality estimation result. And the communication scheme optimization module generates a final transmission strategy according to the simulation result and a preset communication target. Through close cooperation of the modules, the system achieves accurate prediction of satellite channel transmission quality, effective simulation of data packet behaviors and optimization of a communication scheme, and plays an important role in data transmission of the Internet of Things.