5643 results about "Transmission system" patented technology

The invention relates to the technical field of integration of artificial intelligence security and network security, and discloses an AI dynamic security transmission system based on an SASE framework, which realizes security access control based on AI dynamic identity verification through an SASE integration access module, acquires and predicts network performance change in real time by using a network state sensing module, and transmits the network performance change to a network server. Equipment, environment and data content are subjected to multi-dimensional analysis by means of a security risk assessment module, a quantitative risk score is generated, and a transmission protocol, parameters and encryption strength are dynamically adjusted according to a network state and the risk score by means of a dynamic transmission optimization module and a self-adaptive encryption module; the problem that safety protection and transmission efficiency are difficult to cooperate in a traditional architecture is effectively solved, low-delay and high-reliability data transmission service can be provided for AI application in a complex network environment, meanwhile, self-adaptive dynamic protection of the whole data transmission process is achieved, and data safety is comprehensively guaranteed.

The invention relates to the technical field of communication, in particular to a low-delay data transmission system and method for marine observation data, and the system comprises a data collection module which collects the multi-modal data of a marine environment, and carries out the priority classification of the data according to the real-time performance and importance; the route optimization module dynamically adjusts a multi-path fragmentation strategy and single-path task distribution in combination with a reinforcement learning algorithm and path optimization data; the communication module supports multi-mode communication modes such as laser communication and low-orbit satellite communication, and monitors the link state in real time; and the data fusion and analysis module performs dimension reduction, fusion and real-time analysis on the data by using manifold learning and a graph neural network, and meanwhile, predicts a long-term trend through time sequence analysis to generate observation report data. The method effectively reduces the transmission delay of high-priority data, improves the response efficiency of the system to abnormal events, and is suitable for the scenes of marine disaster early warning, environment monitoring and the like.

The invention relates to the technical field of Internet of Things communication, and discloses an Internet of Things data information transmission method, a switch and a transmission system. The method comprises the following steps: acquiring multi-source data streams of Internet of Things terminal equipment, dynamically fragmenting according to types to generate fragmented data packets, matching a target transmission protocol for the fragmented data packets, generating a dynamic routing path in combination with a priority mark and the like, and transmitting the dynamic routing path. The system also has the functions of link quality evaluation and route adjustment, redundant coding packet loss recovery, transmission delay and integrity monitoring processing, encryption transmission based on security level, resource optimization, transmission strategy adjustment and the like. The switch is integrated with a data fragmentation module, a protocol matching module and the like. The transmission system comprises a terminal device cluster, an edge node network, a cloud server and a protocol conversion gateway. The data transmission efficiency, reliability and safety are improved, resource utilization is optimized, and the data transmission problem of the Internet of Things is effectively solved.

The invention discloses a cable insulation life prediction method and system based on LSTM accelerated aging mapping, and relates to the technical field of submarine cable insulation life prediction. The existing method has the defects of insufficient multi-stress nonlinear modeling, laboratory and field data separation, difficulty in small sample modeling and the like, and the insulation life of the submarine cable is difficult to accurately predict. The method comprises the following steps: data acquisition: acquiring parameters of insulation electrical performance, physical and chemical performance and mechanical performance under an accelerated aging condition; carrying out data preprocessing: carrying out homodromous processing on the inverse indexes, improving box plot denoising, filling missing data with a space-time K nearest neighbor algorithm, and carrying out normalization; constructing an LSTM model: embedding a dielectric constant differential equation as a physical constraint, and introducing an index weight; and model training and evaluation: adopting five-fold cross validation, and quantizing prediction precision through mean square errors and decision coefficients. According to the technical scheme, the prediction precision is improved, the fault risk caused by insulation aging is reduced, the maintenance cost is reduced, and the reliability of the ocean energy transmission system is improved.

The invention relates to the technical field of electric drive transmission system service life prediction, and discloses an AI-based electric drive transmission system comprehensive service life prediction method, which comprises the following steps: acquiring electric drive system operation parameters and mechanical part degradation data; arranging the data into a system operation full-period input tensor and a component degradation full-period input tensor, and respectively extracting multi-order feature tensors through a bidirectional recurrent neural network and a gated time convolutional network; performing cross-modal fusion by using a cross attention fusion network in combination with physical constraints to obtain a system-component degradation fusion feature vector; and after dimension reduction, inputting a multi-layer perceptron network output life prediction value, and generating a residual service life interval with confidence in combination with historical cases. The method integrates multi-source data, realizes cross-domain feature dynamic association and physical constraint fusion, improves the precision and reliability of life prediction, is suitable for intelligent operation and maintenance of the electric drive system, and provides a scientific basis for equipment maintenance.

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 a signal optimization transmission system and method based on HPLC and HRF dual-mode communication, a signal acquisition and processing module of the signal optimization transmission system based on HPLC and HRF dual-mode communication is used for acquiring signals of two communication modes of HPLC and HRF in real time, preprocessing the signals and extracting key signal parameters; the dual-mode switching module is used for dynamically switching an HPLC mode and an HRF mode based on channel quality; the access module is used for constructing a longitudinal backbone network and a transverse Mesh network, forming a hybrid topology, optimizing a routing path and coordinating resource allocation and conflict avoidance of HPLC and HRF; the intelligent decision module is used for predicting future interference intensity according to the historical interference data and adjusting channel parameters; the central coordinator module is used for network initialization and resource allocation; according to the system and the method, the HPLC mode and the HRF mode are automatically switched according to the channel quality, the longitudinal HPLC backbone network is combined with the transverse HRF Mesh network to form a four-dimensional communication network, and the robustness in a complex scene is remarkably improved.

The invention discloses an SDR-oriented heterogeneous task scheduling and transmission system and method.The system comprises a heterogeneous platform composed of an ARM and an FPGA, a dynamic scheduling decision engine is arranged in the ARM and receives a task feature vector and a platform state parameter set as input, and the dynamic scheduling decision engine evaluates income and cost of task allocation to the ARM or the FPGA for execution to make a task allocation decision; the data generated in the task execution process or the execution completion result are interacted and synchronized between the ARM and the FPGA through the heterogeneous shared memory area HSM. The method realizes reduction of signal processing pipeline delay, improvement of data throughput and optimization of system power consumption, and is suitable for communication, electronic countermeasure and other scenes needing high-performance real-time signal processing.

The invention provides a file high-speed transmission method based on multi-link aggregation, and solves the problems of low transmission efficiency and insufficient stability of a traditional single link. The method comprises the following steps: detecting network link performance parameters, and screening available links; according to the number of links, the average bandwidth and # imgabs0 # limitation, dynamically segmenting a large file into adaptive data blocks, numbering the data blocks, and adding information such as a position to a head; an improved dynamic load balancing algorithm is adopted, link quality (including bandwidth utilization rate, delay, packet loss rate, stability and dynamic adjustment of weight along with a network environment) and data block priority (distinguished according to types and sizes and the weight is adjusted according to file characteristics) are synthesized, data blocks are distributed to different links for parallel transmission, and pre-distribution verification ensures link load safety; and recombining the data blocks by the receiving end according to the numbers to realize file recovery. The system significantly improves the transmission efficiency through multi-link aggregation and dynamic strategy adjustment.

The invention discloses a computer network data secure transmission system and method, and particularly relates to the technical field of network data secure transmission, and the system comprises a dynamic key management module which generates a key seed through a quantum random number generator, generates a dynamic key bound with a data packet in combination with a timestamp, and transmits the dynamic key to a server; after being encrypted by a receiving end public key, the data are transmitted through an independent verification channel; the dual-path transmission control module is used for establishing dual channels of a main path and a shadow path, a data packet of the main path is embedded into a random camouflage protocol header to simulate a non-sensitive protocol, and a blank data packet is filled in the shadow path to maintain traffic characteristics; according to the real-time verification engine, a receiving end constructs an encrypted hash tree to achieve fragment-level integrity verification, and meanwhile, requests key state three-state verification from the key management module. Through key dynamic generation and separation transmission, dual-path adaptive fragmentation distribution, fragmentation hash tree reconstruction and key linkage verification, and abnormal triggering fragmentation level retransmission, the problems of long-term effectiveness of a static key, predictable transmission path and verification lag are solved.

The invention discloses a DC voltage divider parameter anomaly detection method based on harmonic characteristics, and the method comprises the steps: deploying an isolation type voltage sensor at a bus of a DC power transmission system, carrying out the voltage sampling through combining with an ADC, carrying out the data buffering and preprocessing, extracting a fundamental wave component and a target harmonic component through the fast Fourier transform, and calculating the harmonic distortion rate. And constructing a low-voltage arm capacitance and harmonic distortion rate model based on a voltage divider secondary circuit equivalent circuit and an energy distribution principle, and calibrating the low-voltage arm capacitance and harmonic distortion rate model. And designing a multi-objective optimization scheduling algorithm based on energy storage capacity and capacitance characteristics, and realizing dynamic power distribution and harmonic suppression of the system. And after abnormal triggering, the system automatically loads a capacitance compensation coefficient, adaptively adjusts algorithm parameters in combination with a measurement loop PI control link, reduces a harmonic amplification effect, and ensures that a measurement error is within an acceptable range. Harmonic monitoring precision and capacitance compensation optimization capability of the direct-current power transmission system are effectively improved, and stable operation of the system is guaranteed.

The invention discloses a mechanical transmission system fault trend prediction system based on dynamic feature recognition, and relates to the technical field of mechanical state monitoring. Comprising the following steps: synchronously acquiring a load torque signal and a lubrication state parameter signal of a transmission system and vibration acceleration signals of a plurality of measuring points through a signal acquisition module; the working condition decoupling characteristic generation module carries out time-frequency analysis on the vibration signal, calls a pre-stored load disturbance spectrum template according to a load torque signal to carry out adaptive differential processing so as to eliminate load fluctuation interference, and calls a correction rule set according to a lubrication state parameter signal to carry out form recombination on the signal so as to compensate the lubrication state influence; and finally outputting a working condition decoupling feature representing the health state of the mechanical part. And the trend prediction module calculates and obtains fault development trend and residual life estimation data through a pre-trained fault prediction model. According to the method, the dynamic characteristics representing the essential degradation of the part are effectively extracted, and the accuracy and reliability of fault trend prediction of the mechanical transmission system are improved.

Methods, apparatus and systems for scheduling and transmission of system information in a wireless communication are disclosed. In one embodiment, a method performed by a wireless communication node is disclosed. The method comprises: transmitting, to a first wireless communication device having a first device type, a first configuration associated with the first device type for the first wireless communication device to perform paging occasion monitoring, wherein a device having the first device type is a reduced capability device or is configured with extended discontinuous reception (eDRX); and transmitting, to a second wireless communication device having a second device type, a second configuration associated with the second device type for the second wireless communication device to perform paging occasion monitoring, wherein a device having the second device type is not a reduced capability device and not configured with eDRX.

The invention discloses an information acquisition and transmission system of track control equipment, which relates to the technical field of track traffic intelligent monitoring and comprises an intelligent sensing terminal, an edge intelligent analysis node, a safety communication module, a central control platform, a digital twin diagnosis center and a predictive maintenance engine. According to the invention, the intelligent sensing terminal integrates various sensors, adopts a permalloy shielding cavity to isolate external electromagnetic interference, is equipped with a three-stage lightning protection circuit to realize microsecond-stage lightning surge protection, can stably collect parameters of track control equipment in a severe environment, is internally provided with a lightweight LSTM model, carries out preliminary filtering analysis on original data, and is used for monitoring the parameters of the track control equipment. The device operation state can be dynamically identified, the sampling strategy can be adjusted, the basic sampling frequency is maintained in the stable state to reduce power consumption, the sampling frequency is improved by 10 times and the sensor gain is enhanced in the early warning or emergency state, all analysis decisions are completed at the local millisecond level without depending on the cloud, and the real-time performance and accuracy of data processing are effectively improved.

The invention relates to the technical field of audio transmission systems, and provides a noise interference compensation method applied to an audio transmission system, and the method comprises the steps: firstly obtaining a noise-containing audio signal set of a target audio transmission channel, the noise-containing audio signal set comprises a plurality of noise-containing audio segments and pure audio segments corresponding to the noise-containing audio segments; then noise interference feature extraction is carried out on the noise frequency signal set to obtain a time domain noise feature and a frequency domain noise feature of each noise frequency segment, and then dynamic feature fusion is carried out on the time domain noise feature and the frequency domain noise feature based on a preset noise compensation model to generate a noise interference feature set; the method comprises the following steps: acquiring a noise interference feature set, training a noise compensation model according to a mapping relation between the noise interference feature set and a corresponding pure audio clip, generating a noise compensation parameter set, finally loading the noise compensation parameter set to a real-time processing module, and performing noise interference compensation operation on a noise-containing audio signal transmitted in real time. Therefore, the influence of noise on audio signals is effectively reduced, and the audio transmission quality is improved.

Systems and methods provide adaptive collection of telemetry by an Information Handling System (IHS). Telemetry is identified that is ready for transmission by the IHS. A position of the telemetry is determined within a telemetry chain of telemetry generated by the IHS. A signaling pathway is selected for transmission of the telemetry based on the position of the telemetry within the telemetry chain.

The invention relates to the technical field of industrial Internet of Things, and discloses a low-delay industrial Internet of Things data transmission system based on a 5G network. The system comprises a plurality of functional modules such as a data acquisition module, a data preprocessing module, a network transmission optimization module and a congestion control module. The data acquisition module acquires a heterogeneous data set, the preprocessing module performs standardization processing, the network transmission optimization module selects an optimal channel and node, and the congestion control module predicts flow and adjusts a transmission strategy. In addition, the system also has the functions of security encryption, heterogeneous data synchronization, dynamic spectrum allocation and the like. Through cooperative work of the modules, the system realizes low-delay and high-reliability transmission of industrial Internet of Things data, effectively processes heterogeneous data, guarantees data security, improves spectrum utilization efficiency and energy efficiency, enhances fault tolerance and compatibility of the system, and is suitable for various industrial scenes.

The invention discloses an unmanned aerial vehicle data transmission system based on information importance grading. In the invention, through dynamic priority division and intelligent resource scheduling, the execution reliability of the key task in a complex environment is obviously improved. The system preferentially guarantees stable transmission of first-level data (such as positions and emergency instructions) in a weak signal scene, and a standby machine is quickly switched to a relay node or a cluster topological structure is adjusted, so that task failure caused by communication interruption is avoided. Even if the signal strength of the sub-machine is suddenly reduced, the system can still ensure real-time return of key instructions, meanwhile, unnecessary data are automatically compressed or delayed, bandwidth occupation is reduced, the task success rate is effectively improved, and the overall stability and adaptability of a communication network are enhanced through predictive resource deployment and dynamic path optimization. The intelligent relay scheduling module combines real-time environment data and task requirements, deploys a standby machine to a high-risk area in advance, and reduces the risk of communication interruption caused by terrain shielding or weather interference.

Systems and methods related to prioritization of non-zero coefficients for Channel State Information (CSI) for Coherent Joint Transmission (CJT) are disclosed. Embodiments of a UE and corresponding embodiments of a method performed by a UE for CJT CSI feedback in which non-zero coefficients of a precoding matrix indicator (PMI) feedback are prioritized are disclosed. Embodiment of a network node and corresponding embodiment of a method performed by a network node for CJT CSI feedback in which non-zero coefficients of a PMI feedback are prioritized are also disclosed.

The invention relates to the technical field of network security, in particular to a cloud data secure transmission system and method based on a quantum encryption technology. Comprising a quantum key generation and management unit used for generating a physical layer security key, realizing key true random generation through a quantum state unclonable principle, and optimizing key negotiation efficiency by adopting an improved adaptive basis vector matching algorithm; a data transmission encryption unit; a physical layer safety monitoring unit; and a channel fusion switching unit. According to the method, the physical layer security key is generated based on the quantum state unclonable principle, the dependency limitation of a traditional encryption algorithm on mathematics is broken through, and the cracking risk of quantum computing on bottom layer encryption logic can be reduced; according to the invention, photon polarization state parameters are collected in real time through the physical layer security monitoring unit, the eavesdropping behavior is detected based on the preset error rate threshold, real-time perception of the eavesdropping behavior in a transmission link is realized, and the defect that the security state of the physical layer cannot be perceived in real time in a traditional scheme is overcome.

The invention relates to the technical field of water conservancy system design, in particular to a water conservancy informatization data collection and transmission system and method based on a distributed ad hoc network, and the method comprises the steps: deploying monitoring nodes at each monitoring point of a water conservancy project to collect hydrological data and environmental data; peripheral monitoring nodes are automatically found and connected through a distributed ad hoc network module, a multi-hop wireless network is formed, and communication between the monitoring nodes and gateway nodes is achieved. Specifically, a dynamic routing algorithm is adopted to monitor the delay and signal stability of a link in real time and monitor node residual energy, and an optimal transmission path is calculated; when a node or a link has a fault, a routing path is automatically recalculated according to a fault processing strategy, and disaster recovery transmission is realized; the energy consumption of the monitoring node is reduced through a sleep wake-up mode and an energy-aware routing algorithm; and converging the data of each monitoring node at the gateway node, and uploading the data to a cloud data center. And the flexibility and reliability of data transmission are enhanced.

The invention relates to the technical field of transmission system fault diagnosis, in particular to an operation fault monitoring method and system applied to an automobile transmission system. Determining the vibration characteristic coefficient of each period according to the amplitude difference of the vibration sequence in different frequency regions on the frequency domain; and a fault trend coefficient is constructed based on the data fluctuation frequency of the vibration signals of all periods and the change trend of the vibration characteristic coefficients of all periods so as to adjust the abnormal proportion, and based on the adjusted abnormal proportion, the operation fault monitoring of the automobile transmission system is carried out in combination with an isolated forest algorithm. The method improves the sensitivity of abnormal detection at the initial stage of a fault or during a slight fault, guarantees the dynamic balance of the false alarm rate and the missing report rate of the fault detection of the transmission system, and improves the quality of the fault detection of the automobile transmission system.

The invention relates to an ultra-low power consumption multichannel high-speed signal synchronous acquisition and emission system suitable for satellite communication. The system comprises an acquisition and emission board card which mainly comprises a plurality of radio frequency transceivers, an optical module, a clock unit, an FPGA (Field Programmable Gate Array) 1 processor and the like; the clock unit comprises a clock chip, a clock Buffer and the like; the optical module is used for receiving data, sending the data to an FPGA (Field Programmable Gate Array) 1 for processing, then sending the data to a transmitting channel of the radio frequency transceiver through a JESD204B interface for interpolation filtering, QEC (Quadrature Error Correction) calibration and refreshing, and then performing up-conversion to output an I / Q analog modulation signal; a receiving channel of the radio frequency transceiver receives an I / Q analog signal, the I / Q analog signal is sampled after low-pass filtering, the sampled data is sent to the FPGA1 for processing through the JESD204B interface after QEC calibration, and then the data is forwarded through the optical module. The system can realize ultra-low power consumption and reduce the weight of the whole machine.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an intelligent dynamic pilot frequency networking system and method for an image transmission module MESH ad hoc network. The method is based on spectrum fingerprint features, combines a real-time interference topological graph constructed by interaction of neighborhood nodes, identifies a conflict frequency set needing to be evaded through multi-dimensional weighted evaluation, and dynamically generates a pilot frequency strategy table containing main and standby frequencies and a switching threshold value by using a frequency hopping decision engine according to the conflict frequency set and a preset legal frequency pool. Synchronizing the pilot frequency strategy table to an associated relay node, generating a link stability evaluation matrix and feeding back the link stability evaluation matrix to a frequency hopping decision engine; and correcting a frequency switching threshold value and an alternative frequency weight in the pilot frequency strategy table based on the link stability evaluation matrix. According to the invention, the spectrum utilization efficiency of the unmanned aerial vehicle image transmission system can be improved, the stability and reliability of a multi-hop link are ensured, the networking time delay is reduced through a distributed decision-making mechanism, and an effective solution is provided for high-quality wireless transmission in a dynamic topology environment.

The invention provides an electric energy load real-time data acquisition and analysis method based on a low-cost scheme, and the method comprises the following steps: constructing a distributed data acquisition network, employing a combined hardware architecture of a current / voltage sensor and a low-power-consumption MCU, and achieving the data acquisition optimization through a dynamic sampling rate adjustment mechanism, when the load fluctuation exceeds a set threshold value, the sampling rate is automatically increased, when the load is stable, the sampling rate is reduced to a calibration sampling rate, and a Kalman filtering algorithm is adopted to carry out real-time data preprocessing; a three-level data transmission system is established, the three-level data transmission system comprises an edge acquisition node layer, a convergence gateway layer and a cloud processing layer, an optimized AODV routing protocol is adopted among nodes to construct a star-shaped and net-shaped hybrid network topology, and an optimal transmission path is dynamically selected according to the signal strength and the network congestion condition; a differentiated QoS transmission strategy is designed, and data is divided into three priorities of fault alarm data, real-time monitoring data and historical data.

The invention relates to the technical field of voice recognition, in particular to a multi-channel voice conversion and synchronous transmission system applied to simultaneous interpretation. Multi-language voice signals are collected through a multi-microphone array, background noise is dynamically eliminated by adopting a noise suppression technology combining spectral subtraction and deep learning, and a dynamic information source verification symbol is generated to ensure data synchronization integrity; a blind source separation technology is combined with time-frequency analysis and time delay estimation to realize multi-language signal separation and synchronization, and a time sequence is dynamically adjusted through voice activity detection; an end-to-end ASR-NMT-TTS model is constructed to realize voice real-time translation and synthesis, and low-delay transmission is carried out based on a 5G network; the real-time monitoring module is adopted to dynamically adjust the output delay and the signal-to-noise ratio, and the translation delay and the synchronization precision are optimized in combination with user feedback. According to the method, dynamic noise reduction, multi-source synchronization and a self-adaptive feedback mechanism are integrated, the problems of distortion and delay of multi-language simultaneous transmission in a complex noise environment are solved, and the obvious technical synergistic effect and practicability are achieved.

The invention discloses a material transmission control adjustment method and system based on the Internet of Things, particularly relates to the technical field of material transmission control, and is characterized in that the weight of a sensor is dynamically adjusted based on a Kalman filtering algorithm, and the positioning precision of a material barrel is optimized; identifying and positioning an abnormal risk area and predicting a high-risk time period based on spatial-temporal feature analysis of historical data; optimizing a transmission path and speed by combining a digital twinborn model and a path planning algorithm; dynamically adjusting a resource scheduling strategy and calculating an optimal intervention path according to an abnormal prediction result and a path planning parameter; the conveying state of the material barrel is monitored in real time, and the safety and efficiency of the conveying process are ensured; the fault probability calculation module dynamically evaluates the fault probability based on the real-time transmission state; accurate control and dynamic adjustment in the material conveying process are achieved, and the problems that in a traditional material conveying system, positioning precision is low, abnormal prediction is not timely, and path planning is not optimized are solved.

The invention belongs to the field of electromechanical control, and discloses a redundancy control method and system for an electric pump and a transmission system.The redundancy control method comprises the steps that onboard state signals, flight control system state signals and first hydraulic pressure and second hydraulic pressure of each hydraulic sub-system in a hydraulic system are collected in real time; an electric pump closing instruction and a hydraulic pressure logic judgment instruction are output through an on-board state threshold value and first electric pump control logic according to the on-board state signal, and the electric pump is closed according to the electric pump closing instruction; and a flight control system state signal, the first hydraulic pressure and the second hydraulic pressure are obtained, and each electric pump is automatically controlled through a low-pressure threshold value and a pressure safety threshold value by adopting second electric pump control logic, a hydraulic pipeline protection mechanism and an electric pump protection mechanism. According to the invention, the starting of each electric pump can be automatically controlled, a hydraulic passage can be protected, and the flight safety is ensured.

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

According to the optical carrier microwave stable transmission system based on the temperature control optical fiber delay line provided by the invention, accurate reverse compensation is carried out on delay jitter change through the delay compensation module, and excellent delay consistency is shown in ultra-wideband signal transmission; the defect that compensation devices such as a traditional piezoelectric ceramic optical fiber stretcher, an optical phase shifter, a cascade multi-stage optical switch and a motor space optical delay line cannot meet the requirements of large range, high precision, quick response and wide frequency spectrum compensation capability at the same time is overcome; that is to say, the link delay compensation scheme in the transmission system has large-range, high-precision, quick-response and wide-spectrum compensation capabilities, and is particularly suitable for optical fiber transmission links with high stability and consistency requirements on ultra-wideband signal transmission.