1822 results about "Transmission technology" patented technology

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 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 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 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 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 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 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 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.

The embodiment of the invention provides a flexible circuit board and electronic equipment, relates to the technical field of signal transmission, and is used for relieving the problem of relatively high signal loss of an FPC (Flexible Printed Circuit) caused by electromagnetic shielding. The flexible circuit board may have a first region and a second region. A reference layer of the flexible circuit board is located in the first area, and the reference layer and the signal layer are stacked. The first shielding layer is located in the first area, and the first shielding layer is stacked on the side, away from the reference layer, of the signal layer. The second shielding layer is located in the second area, and the second shielding layer and the signal layer are stacked. The first grounding wire is electrically connected with the first shielding layer and the reference layer. The first grounding wire is also electrically connected with the second shielding layer. A backflow signal of a signal transmitted by the signal line in the signal layer can flow through the first grounding line from the second shielding layer in the second area, and respectively flows into the first shielding layer and the reference layer in the first area.

The invention relates to the technical field of data transmission, and discloses a resource control method and electronic equipment. The electronic equipment comprises a first screen, a second screen, a first SPI, a second SPI and a first device, and the first screen and the second screen are located on different sides of the electronic equipment; when the first screen is in the display state and the first device is in the working state, the first screen can be conducted with the first SPI, and the first device can be conducted with the second SPI; when the second screen is in the display state and the first device is in the working state, the second screen and the second SPI can be conducted, the first device and the first SPI can be conducted, that is, SPI resources of the screen which are not used by a user are provided for the first device such as an infrared device for use, the SPI resources do not need to be newly added under the condition that the first device (such as the infrared device) is newly added, and the user experience is improved. The electronic equipment cost is saved.

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling indicating multiple transmission-reception points (TRPs), and may perform measurements for reference signals received from the multiple TRPs within a set of measurement resources. The UE may transmit a channel state information (CSI) report including a first CSI part and a second CSI part, where at least one of the first CSI part or the second CSI part indicates a first mapping between a first set of TRPs and a first set of spatial multiplexing layers, and a second mapping between a second set of TRPs and a second set of spatial multiplexing layers. The UE may then receive a phase-coherent joint transmission of a downlink message from the first set of TRPs in accordance with the first mapping, or from the second set of TRPs in accordance with the second mapping.

The present application belongs to the field of transmission technology, and discloses a multi-base station cooperative wireless energy supply energy efficiency evaluation optimization method and system and an electronic device. The present application constructs a passive Internet of Things system model of multi-wireless energy supply base station cooperative energy supply passive energy device; according to the passive Internet of Things system model, the statistical average energy collection efficiency of the passive Internet of Things system is defined, and the statistical average energy collection efficiency is taken as an evaluation index of the energy efficiency of multi-base station cooperative wireless energy supply; an optimization problem of maximizing the statistical average energy collection efficiency is constructed; the optimization problem is solved to obtain power distribution information of the multi-wireless energy supply base station corresponding to the maximization of the statistical average energy collection efficiency; and the multi-base station cooperative wireless energy supply is configured and optimized according to the power distribution information. The present application can meet the demand of multi-base station energy supply for long-term reliability of energy efficiency in practical application.

The invention discloses a landscaping engineering construction dust fall device, and relates to the technical field of construction dust fall, the landscaping engineering construction dust fall device comprises a spraying table, a rotary table is fixedly connected to the upper end of the spraying table, a cleaning mechanism is arranged at the upper end of the spraying table, a supporting mechanism is arranged on the surface of the rotary table, and the rotary table comprises a spraying cylinder rotationally connected to the upper end of the rotary table; a first supporting seat is fixedly connected to the upper end of the spraying table, a first rotating sleeve is rotatably connected to the inner wall of the first supporting seat, a missing gear is fixedly connected to the side end of the first rotating sleeve, a rotating rod is rotatably connected to the upper end of the spraying table, and an upper bevel gear is fixedly connected to the surface of the rotating rod. By adopting the reversing transmission technology that the first rotating sleeve and the missing gear are matched with the upper helical gear and the lower helical gear of the rotating rod, the spraying barrel can be driven to achieve stable periodic reciprocating swing, the limitation of fixed angle or one-way rotation of traditional spraying equipment is broken through, the coverage range of water mist is greatly expanded, and distribution is more uniform.

The invention, which relates to the technical field of power transmission, discloses a high-power intelligent temperature control cable comprising a conductor, a first insulating layer, a temperature control system, an early warning system and a protective sleeve. The conductor is made of a high-conductivity material, and the conductor is coated with a first insulating layer; the temperature control system comprises a liquid cooling pipe and a plurality of temperature sensors, and cooling liquid is suitable for flowing in the liquid cooling pipe; the early warning system comprises a temperature sensing optical fiber which is distributed along the axial direction of the conductor, and the temperature sensing optical fiber is connected with a fault early warning module; the protection sleeve wraps the conductor, the temperature control system and the temperature sensing optical fiber and comprises an electromagnetic shielding layer, a mechanical protection layer and a safety protection layer. The temperature sensor and the fault early warning module are used for connecting the control unit. The operating temperature of the cable is adjusted in real time through the temperature control system, and thermal fatigue of the conductor is effectively inhibited; high-strength electromagnetic shielding, mechanical tensile strength and bending resistance are provided through the protective sleeve; and the temperature and strain states of the cable are monitored in real time through the early warning system, so that the operation safety is improved.

The invention relates to the technical field of low-power-consumption data acquisition and transmission, in particular to an NB-IoT network-oriented low-power-consumption data acquisition and transmission system and a medium, and the system comprises a network initialization unit which is used for deploying a data acquisition terminal in a signal attenuation area and defaulting the data acquisition terminal as a working node after power-on; the ferry node election unit is used for acquiring the signal quality score and the residual energy score of the current battery, and calculating a comprehensive score by combining the energy consumption attenuation value; switching the terminal with the highest comprehensive score to a ferry node; the hierarchical data acquisition unit is used for awakening the working node based on a preset awakening strategy, acquiring equipment reading data, sending the equipment reading data to the ferry node, entering a transient monitoring state, and entering a deep dormant state after receiving a receiving confirmation signal of the ferry node; the network interruption data temporary storage and reissuing unit is used for compressing and storing the to-be-transmitted data when the ferry node fails in network connection in the optimal transmission time window; once the network is recovered to be available, resending transmission is performed.

The invention belongs to the technical field of power information transmission, and particularly relates to a power data real-time transmission optimization method based on a low earth orbit satellite. By matching the optimal transmission path in real time, it is ensured that data can be efficiently transmitted to a destination within a short time, meanwhile, waveform compression is carried out on the power monitoring data, the transmission data size is effectively reduced, the transmission burden and cost are reduced, and in the transmission process of the to-be-transmitted data, the transmission efficiency of the to-be-transmitted data is improved. In addition, real-time quality evaluation is carried out on a transmission link of the to-be-transmitted data packet, and the transmission link is flexibly adjusted based on an evaluation result, so that continuity and reliability of data transmission are guaranteed, and meanwhile, it can be ensured that the to-be-transmitted data packet with high priority can be transmitted in advance; according to the invention, the breakpoint cache mechanism can be intelligently started, the loss of the data packet to be transmitted is avoided, and the data packet is preferentially sent after the signal is recovered, so that the efficiency and stability of data transmission can be further improved.

The invention relates to the technical field of Ethernet communication and digital information transmission, and discloses an Ethernet-based time synchronization acquisition method, device and equipment and a medium, and the method comprises the steps: obtaining initial network time based on a network time protocol and a precise time protocol; recovering the synchronous clock signal from the Ethernet physical layer signal and generating a trigger pulse signal aligned with a second boundary to generate second-level reference time; the trigger pulse signal and the synchronous clock signal are used for executing high-frequency counting accumulation to generate nanosecond-level fine time; performing frequency division processing on the synchronous clock signal based on the sampling rate configuration parameter to obtain a sampling driving clock; the analog-to-digital conversion unit is triggered at the effective jump edge of the sampling driving clock to sample and latch nanosecond-level fine time to generate a sampling timestamp, and the sampling timestamp is output in combination with sampling data. According to the method, time recovery, time refinement and sampling time locking are realized through a unified time base, so that sampling action and time counting are accurately aligned, and the data synchronization precision and consistency of distributed acquisition nodes are improved.

The invention discloses an eddy current data compression transmission optimization method, relates to the technical field of data compression transmission, and solves the technical problems that a compression algorithm lacks scenario adaptation and data transmission lacks priority and link adaptation. Scene demand-algorithm characteristic accurate matching is achieved, compressed data overall reconstruction errors and defect area reconstruction errors are reduced, delay and compression ratio requirements of different scenes are met, data priorities are judged in a multi-dimensional mode, it is ensured that defect data acquisition resources are inclined, key information is prevented from being lost, and the method is suitable for large-scale popularization and application. A transmission protocol is optimized for a short / medium / long distance scene, the protocol adaptability and the transmission efficiency are improved, a transmission scene-link state-data priority three-dimensional linkage transmission strategy is constructed, the bandwidth occupation proportion is dynamically adjusted, core data are preferentially transmitted when links are congested, and resources are fully utilized when the links are idle.

The invention relates to the technical field of data priority transmission, in particular to an RCM platform intelligent data transmission method and system based on priority scheduling. Comprising the following steps: obtaining the importance degree of each type of state data of each device according to the difference between adjacent data in each type of state data sequence of each device, the joint probability distribution between each device and each type of state data, the marginal probability distribution of each device and the marginal probability distribution corresponding to each type of state data; segmenting each state data sequence of each device to obtain a plurality of time periods; and according to the difference between all data in each time period and the normal reference value of the corresponding state data, the importance degree and the aging factor, obtaining the transmission priority of each time period in each state data sequence of each device, and performing transmission according to a sequence from large to small. According to the invention, the accuracy of data transmission is improved through priority scheduling.

The invention relates to the technical field of measurement signal transmission, and discloses a measurement signal real-time transmission system in air-ground cooperative localization, which is characterized in that an environment signal fingerprint spectrum and a modulation depth spectrum representing environment modulation intensity are generated offline, and in a real-time stage, a mobile terminal sends a detection signal and attitude data of the mobile terminal; and the positioning correlator performs self-adaptive pre-normalization on the physical characteristics of the received signal according to the attitude data and the modulation depth map, and performs mode matching with the fingerprint map to determine the position. According to the invention, the superposition influence of the attitude change of the mobile terminal and the environmental reflection on the signal can be effectively separated; the problem that different positioning results are generated at the same position due to different flight attitudes is avoided, the system has the capabilities of signal time sequence verification and atlas timeliness diagnosis, and the measurement reliability and the system adaptability in a complex real environment are improved.

The invention discloses a performance monitoring method, device and equipment and a storage mechanism, and relates to the technical field of data transmission, a verification interface is preset on a bus, data flow of the bus is monitored in real time, and bus performance indexes such as a bandwidth value are calculated in real time in the simulation process and are different from a scene driving excitation mode, so that the performance of the bus is monitored. The bus performance condition can be fed back in real time in the simulation process, and simulation is stopped immediately when the performance index is lower than the preset threshold value. The method effectively avoids the lag problem that the result is obtained only after simulation is finished, is especially suitable for complex scenes, and can accelerate the feedback process of design and verification. The technical problems of low simulation efficiency and feedback lagging are solved, and the technical effects of improving verification efficiency and reducing simulation time are achieved.

The invention relates to the technical field of industrial robot data acquisition and transmission, in particular to a welding robot behavior recording system integrating edge acquisition and cloud management, which comprises the following modules: an edge end data acquisition module for acquiring the state of a welding robot and sensor data in real time, and performing time alignment and validity processing, generating edge end data; the data preprocessing module is used for optimizing the edge end data and unifying the data format to form preprocessed data; and the local storage management module is used for carrying out hierarchical storage and index management on the preprocessed data according to the data access frequency and importance. According to the invention, through a breakpoint continuous transmission mechanism of cooperation of the edge end and the cloud end, fragmentation and recording of the transmission progress in the data transmission process are realized, continuous transmission is only performed on the uncompleted fragmentation after the network is interrupted, meanwhile, sorting and integrity verification are performed on the received fragmentation at the cloud end, and reliable uploading of large-capacity data in a complex network environment is realized.

The invention discloses a low-delay lossless digital audio transmission method, a low-delay lossless digital audio transmission system and a storage medium, which relate to the technical field of digital audio transmission and are used for monitoring network environment data in real time and dynamically adjusting audio transmission parameters according to changes of network bandwidth Bw, network delay Dr, packet loss rate Pd and network jitter Wd. Comprising an audio transmission rate Rsv, a data packet size Spd and a redundancy coding ratio Rbf. The adaptive adjustment can ensure that the data transmission quantity is reduced and the packet loss probability is reduced when the network condition is poor, and meanwhile, the transmission efficiency is improved and the audio quality is optimized when the bandwidth condition is good. Compared with a traditional fixed transmission parameter method, lossless audio transmission can be achieved under different network conditions, and meanwhile unnecessary delay is reduced. According to the invention, intelligent compression of the audio data is realized, the data volume is reduced under the condition that the bandwidth is limited, the network burden is reduced, and the stability and integrity of audio transmission in a low-bandwidth environment are ensured.