358 results about "Transmission errors" patented technology

Image series transformation for optimal compressibility is performed with neural upsampling and error resilience. A novel correlation network composed of convolutional layers for feature extraction that extract multi-dimensional features from the image and a channel-wise transformer with attention to capture complex inter-channel dependencies. An angle optimizer enhances compressibility of an image and an error resilience subsystem improves robustness against transmission errors and data loss. The error resilience subsystem applies forward error correction coding, data partitioning based on importance, and embeds error concealment hints. This hybrid approach addresses both local and global features, mitigates compression artifacts, improves image quality, and enhances data integrity during transmission. The correlation network incorporates error correction and concealment techniques during decoding. The model's outputs enable effective image reconstruction, achieving advanced compression while preserving information for accurate analysis.

The invention relates to the technical field of circuit detection, discloses a power transmission line thermochromic wire clamp heating early warning method and system, effectively solves the problem of data acquisition distortion in a strong electromagnetic environment, and improves the accuracy of state evaluation through multi-source data fusion. The dynamically adjusted early warning model reduces the risk of false alarm and missing alarm caused by equipment aging, the intelligent decision support module shortens the fault handling response time, the data closed-loop mechanism ensures the reliability of the system in the whole life cycle, and the reliability of the system in the whole life cycle is improved through multi-sensor cooperative monitoring and edge calculation processing. And the influence of environmental factors on data acquisition is reduced. The two-channel transmission architecture guarantees the data transmission integrity under different network conditions, the CRC verification mechanism effectively recognizes and corrects transmission errors, a high-quality data basis is provided for a subsequent early warning model, the abnormal data recollection mechanism avoids data missing caused by single collection failure, and continuous and stable operation of the monitoring system is ensured.

The invention discloses a full-stack NPU system supporting a multistage fault mitigation mechanism, and the system comprises a plurality of NPU functional blocks which are used for executing a neural network calculation task; the plurality of hardware protection modules are used for providing error detection and correction capabilities for at least one NPU functional block in the NPU or a data path in the NPU; and a control mechanism for coordinating operation of the plurality of hardware protection modules. By means of the scheme, NPU functional block calculation errors or data path transmission errors caused by hardware faults and the like can be detected and corrected in time, wrong calculation results are prevented from being continuously used or output, and the accuracy of final results is guaranteed. Meanwhile, even if part of hardware breaks down, an error correction mechanism can also cover errors to a large extent, normal operation of the system is maintained, the overall availability and task success rate of the system are improved, and therefore the reliability and robustness of the NPU are remarkably improved.

The invention discloses an unmanned aerial vehicle communication terminal supervision method based on multi-source information fusion, and the method comprises the following steps: S1, multi-source information collection: collecting multi-source heterogeneous data of an unmanned aerial vehicle communication terminal in parallel, the multi-source heterogeneous data at least comprises terminal transmitting power, received signal strength (RSSI), signal-to-noise ratio (SNR), adjacent region interference strength, wireless link transmission error rate, terminal positioning data, flight state data and environmental meteorological data; and S2, information fusion and feature extraction: carrying out space-time alignment and normalization processing on the multi-source heterogeneous data collected in the step S1, inputting the data into an information fusion model for feature layer fusion, and outputting a group of fusion feature vectors capable of comprehensively representing the current operation state of the communication terminal. According to the invention, more reliable unmanned aerial vehicle communication terminal supervision can be realized.

The invention discloses a data exchange method and system for low-frequency-band wireless networking, particularly relates to the technical field of wireless networking communication, and is used for solving the problem that the data exchange efficiency of the low-frequency-band wireless networking is low. Information correction is carried out by selecting the optimal transmission path and combining feedback of the adjacent nodes, the stability and accuracy of data transmission are improved, the nodes evaluate the information state according to the information receiving quality and the environment change and select a proper correction strategy, and in the path transmission process, real-time error evaluation is used for calculating the error metric of each path, so that the accuracy of data transmission is improved. And according to the selected correction strategy, in combination with a forward error correction and automatic retransmission mechanism, error control is performed when the path quality becomes poor, and the path and the correction strategy are dynamically adjusted in low-frequency-band wireless networking, so that the fault-tolerant capability and the robustness of the network are improved, and transmission errors caused by signal attenuation or interference are effectively reduced. The reliability of data transmission is enhanced, the system adapts to a complex wireless environment, and the risk of information loss and misinformation transmission is reduced.

The invention discloses a predictive topology-based satellite internet deterministic routing data plane migration method, which mainly solves the problem of data packet and service interruption during satellite switching in the prior art. According to the implementation scheme, service flow terminal equipment firstly sends an access request to an entrance edge node; the entry edge node calculates a tunnel path and resource reservation according to the request, performs service identification, encapsulates various identifiers into deterministic specific segment identifiers, and encapsulates the original data packet into an SRv6 data packet based on the tunnel path and the specific segment identifiers; when the service flow is transmitted in the satellite network, if a satellite is switched, service flow tunnel migration is carried out, and when a queue data packet exists in the switched satellite, queue cache migration is carried out. According to the invention, the forwarding of the service flow in the satellite switching process is not influenced, the flow interruption or transmission error caused by lack of information pre-synchronization in the traditional satellite switching is avoided, the priority transmission of the high-priority data packet is ensured, and the method can be used for data transmission between a ground terminal and a deterministic satellite network.

The invention relates to the related technical field of information transmission processing, in particular to a docking station adaptive data transmission optimization system and method, and the method comprises the steps: multi-module collaborative optimization docking station transmission: dynamically collecting port data, intelligently analyzing a configuration strategy, correcting cache congestion in real time, generating a control instruction, and feeding back an adjustment protocol; the technical problems that the bandwidth allocation strategy cannot adapt to the connection state of the port equipment and the sudden change of the data transmission requirement, the power distribution of the power supply is not matched with the equipment load, and the stability and reliability of the data transmission are limited are solved, the bandwidth allocation proportion of each port is dynamically adjusted, the bandwidth waste and congestion phenomena are reduced, and the data transmission efficiency is improved. The technical effects of improving the smoothness and the real-time performance of data transmission, improving the energy efficiency by cooperatively adjusting the distribution of power supply power based on a power supply power distribution strategy of an equipment compatibility thermodynamic diagram, reducing data packet loss and transmission errors by adopting a congestion risk control and cache management strategy, and improving the stability and the reliability of data transmission are achieved.

The invention discloses a positioning method and device based on fusion of single Beidou navigation and a high-precision RTK technology, a medium and equipment in the technical field of satellite positioning. The positioning method comprises the following steps: determining single Beidou navigation information generated by a target receiver based on a single Beidou positioning device; extracting a pseudo-range observation value and a carrier phase observation value of the B1 / B2 frequency point; extracting a satellite number, epoch time, an ionosphere delay coefficient and a troposphere delay coefficient; determining delay deviation correction data of the Beidou satellite signal; total delay deviation in the signal transmission process is measured, and whether delay deviation correction is carried out or not is judged based on the dynamic delay threshold value model and the total delay deviation in the signal transmission process; and fusing the pseudo-range observation value of the receiver and the delay deviation correction data of the Beidou satellite signal, executing double-difference carrier phase calculation, and outputting a centimeter-level positioning result. According to the method, various transmission errors can be effectively eliminated, the positioning precision is remarkably improved, and the positioning continuity and stability are ensured.

The invention discloses a data processing fault-tolerant method, device and equipment based on an RFID tag and a medium, and relates to the technical field of data processing.The data transmission interference coefficient Xcs is constructed by monitoring the transmission environment and the signal strength state of RFID tag data in the process of transmitting the RFID tag data to an application software system in real time and combining a statistical averaging algorithm; comparing and analyzing the current RFID tag data with a preset interference threshold G, judging whether the current RFID tag data has a transmission error risk or not, and analyzing the integrity of the transmitted RFID tag data by combining a cyclic redundancy check algorithm; and based on the integrity of the RFID tag data, carrying out legality fault-tolerant verification analysis on the RFID tag data to obtain a legality coefficient Xhf, and judging whether the data belongs to a legal state or not according to the value of the legality coefficient Xhf so as to generate a corresponding data processing fault-tolerant instruction and execute the data processing fault-tolerant instruction.

The invention discloses a wide-area time traceability credible authentication method in a power heterogeneous network environment, and belongs to the technical field of power system informatization and automation. Comprising the following steps: acquiring various high-precision time source information in a power heterogeneous network environment, and acquiring an initial time reference of the power system time synchronization device; generating uniform reference time, and embedding a digital watermark containing time source information and credibility thereof for each timestamp by using the digital watermark embedding module; controlling the power system time synchronization device to sequentially generate time transmission fingerprints at all levels of network nodes; constructing a unique time fingerprint chain covering the whole link; packaging the time fingerprint of each time transmission node and the traceability information thereof, and performing uplink storage; precise prediction and optimal control of time transmission errors are realized; if the overall cumulative time error exceeds a range of + / -10 [mu] s, the predictive correction is maintained until the error is controlled within + / -10 [mu] s.

The invention relates to the technical field of unmanned aerial vehicle communication management, in particular to a communication method and system for inspection of an offshore wind power unmanned aerial vehicle, and the method comprises the following steps: collecting the signal receiving frequency and power information of the unmanned aerial vehicle, extracting the signal intensity and fluctuation amplitude, analyzing the signal attenuation condition during the inspection of the unmanned aerial vehicle, and evaluating the signal interference degree. And generating a signal quality evaluation result. According to the invention, the communication data of the unmanned aerial vehicle, including signal receiving frequency and power information, are collected in detail, the signal attenuation condition of the signal source is accurately analyzed, the transmission error rate and the signal-to-noise ratio are further calculated, the interference degree of each signal source is evaluated, and the signal occupancy rate and the response speed of the channel are optimized according to the signal quality. The signal transmission path is optimized, the signal packet loss rate is reduced, the time delay change is improved, the communication continuity and stability are effectively improved, and the method is suitable for special environments such as offshore wind power and the like.

The invention relates to the technical field of wireless semantic communication, and discloses a semantic information transmission method, device and equipment and a storage medium, a sending end extracts features of to-be-transmitted data, and matches the features with vectors in a preset discrete vector codebook to obtain discrete feature vectors; and determining an orthogonal frequency division multiplexing time-frequency resource distribution grid according to the feature importance weights of the discrete feature vector and the initial feature vector, generating a sending signal, and transmitting the sending signal to a receiving end. And the receiving end inputs the semantic feature vector obtained after processing the received signal into the vector quantization variational self-decoder, and the semantic feature vector is matched with the vector in the discrete vector codebook again to correct the transmission error, thereby obtaining the reconstructed data to be transmitted. Discretization processing of the features is achieved through a discrete vector codebook, important semantic feature bits are quantized according to the importance weight of each feature and then distributed to orthogonal frequency division multiplexing for transmission, so that key semantic information is protected, and anti-interference transmission of the semantic information is achieved.

Apparatuses, systems, and techniques to predict wireless transmission error rates. In at least one embodiment, a processor includes one or more circuits to predict one or more wireless transmission error rates based, at least in part, on one or more signal to noise ratio (SNR) measurements.

The invention discloses a dynamic signal synchronization control method and system for an energy scheduling network, and relates to the technical field of dynamic signal control, and the method comprises the steps: carrying out the analysis and disassembly of the energy scheduling network, and determining signal transmission delay data and signal transmission error data; configuring a first energy distribution vector; configuring a second energy distribution vector; fusing the first energy distribution vector and the second energy distribution vector, and configuring a regulation and control strategy matrix of an energy stable distribution level and a signal synchronization correction parameter; and performing multi-node cooperative control, and feeding back a regulation and control effect to the coordinated optimization network to iteratively optimize the attention weight. According to the invention, the technical problems of poor network coordination and weak anti-interference capability caused by low signal synchronization precision and unstable distribution of the energy scheduling network in the prior art are solved, and the technical effects of realizing dynamic synchronization and stable distribution of the signals in the energy scheduling network and improving the coordination and anti-interference capability of the network are achieved.

The invention belongs to the technical field of electronic information and communication, and discloses a self-adaptive signal transmission path optimization system of a chip, which comprises a data acquisition module used for acquiring monitoring video data, chip internal parameter data and chip transmission environment data; the data processing module is used for preprocessing the acquired monitoring video data, chip internal parameter data and chip transmission environment data to obtain a video feature data set, a chip internal parameter feature data set and a chip transmission environment feature data set; analyzing the influence of the chip transmission environment feature data set on the video feature data set and the chip internal parameter feature data set to obtain a transmission influence feature data set; the transmission error analysis module is used for training and obtaining a transmission error prediction model according to the transmission influence feature data set, and obtaining errors generated in the chip internal transmission process of the monitoring video signals based on the transmission error prediction model; the reliability of signal transmission is improved, and the chip resource allocation is more efficient.

The invention discloses a transportation logistics information management method, which relates to the technical field of transportation logistics information management and is characterized in that a data collection and preprocessing module is utilized to collect cargo information data, a relay chain technology is utilized to realize real-time transmission and synchronization of data among different logistics links, and a monitoring and early warning module is utilized to monitor a data transmission process so as to realize real-time transmission and synchronization of data among different logistics links. Based on the number CC of transmission errors and the number FC of repeated operation when early warning is not triggered, a data comprehensive management module and a computer are used for outputting a cargo tracking efficiency index HZX, a logistics cost control index WK and an overall logistics efficiency evaluation index ZTX, overall efficiency evaluation is carried out on a logistics system according to the overall logistics efficiency evaluation index ZTX, improvement measures are taken, and the logistics efficiency is improved. Through the efficient and accurate logistics tracking and monitoring system and the measures of optimizing the data transmission path, reducing the transmission delay and improving the data accuracy and real-time performance, the relay chain technology is helpful for improving the overall efficiency of the logistics system and reducing the logistics cost.

The invention discloses an involute spur gear meshing stiffness optimization method for modification based on dynamic transmission errors, which is characterized in that the involute tooth profile is accurately modeled, the meshing stiffness is calculated by adopting a Weber energy method, and the impact generated by single-tooth and double-tooth meshing alternation is reduced through tooth profile modification, so that the transmission errors are reduced, and the involute spur gear meshing stiffness is optimized. The technology is applied to an idle gear system, and the meshing rigidity is iteratively optimized by establishing an idle gear nonlinear kinetic equation and analyzing dynamic transmission errors responded by the system until the requirements for transmission precision and design strength are met.

Instead of incurring interface errors caused by power drops, continuously track all the channels between the controller and the storage device (both in-band and side-band channels). The tracking will include extracting relevant indications and use a prediction model that correlates between the tracked indications to later occurrence of power drop events. In response to the prediction results, the system may perform different rehabilitation operations (countermeasures). The controller will monitor different indications from the storage element and power supply to predict a signal integrity degradation marginality event on the interface. The monitoring and mitigation strategy relies on an open-ended system. The controller does not employ a real-time continuous return channel from the storage device that may signal pass / fail conditions. Given the nature of an open-ended system and tolerance of calibration for the data gathering, processing and inference system, the controller will have to cope also with false positive events.

Disclosed are a data transmission method, system and device, a medium and a computer program product, relating to the technical field of communications, a sender device performing check code and error correction code encoding on a first data transmission unit, and performing position rearrangement on information symbols in a first preset number of first data transmission units by using a preset rearrangement function, the information symbols in the second data transmission units at least come from two first data transmission units in the transmission group, so that the receiver equipment performs symbol position recovery on the information symbols in the data transmission units by using a preset rearrangement function after receiving the data transmission units. The information symbols in different data transmission units are replaced, continuous transmission errors are dispersed to the multiple data transmission units, the capacity of the data transmission system for resisting continuous error data transmission errors is improved, and the data error correction capacity in data transmission is improved on the basis that the error correction calculation cost does not need to be increased.

Aspects of the disclosure are directed to error recovery. In accordance with one aspect, an apparatus includes a plurality of sensors configured to generate a plurality of sensor data; a plurality of sensor interfaces, wherein each one of the plurality of sensor interfaces is coupled to each one of the plurality of sensors; and an aggregator, coupled to the plurality of sensor interfaces, the aggregator configured a) to multiplex the plurality of sensor data into a single aggregator output stream, b) to detect a transmission error in the plurality of sensor data, and c) to recover the transmission error using an aggregator hardware without software involvement.

The present disclosure relates to a system (108) and a method (600) for barring of SMS The system (108) includes an interface unit (210) to receive the SMS from a user equipment (UE) (102). The system (108) includes an identifier unit (212) to determine a Radio Access Technology (RAT) type of the received SMS. The system (108) includes a retrieval unit (214) to retrieve information pertaining to location of the UE from a Home Subscriber Server (HSS) (420) when the RAT type is determined as a Wireless Local Area Network (WLAN) type. The system (108) includes a comparison unit (216) to compare the retrieved information associated with the UE with a barred list to determine if the retrieved location is present in the barred list. The system (108) includes a transmittal unit (218) to transmit an error code in response to determination of presence of the location in the barred list.

The present disclosure relates to a system (108) and a method (500) for network congestion management. The system (108) receives a request for determining a back-off time value for one or more UEs (104) from one or more network entities (110). The system (108) validates the request and transmits an error response when the validation is unsuccessful. The system (108) retrieves a set of operational data associated with the one or more UEs (104) from a database (210) or the one or more network entities (110). The system (108) predicts the back-off time values for the requested one or more UEs (104). The back-off time value may be predicted using an Artificial Intelligence (AI) engine (214) based on a set of parameters associated with the retrieved data. The system (108) transmits the predicted back-off time value to the one or more network entities (110).

The invention discloses a control method and device for intelligent equipment in a group control system. The method comprises the steps that after a control instruction is received, a control signal is generated according to the control instruction; the control signal is sent to the target intelligent equipment, so that the target intelligent equipment operates according to the control signal; in the process that the target intelligent equipment operates according to the control signal, when a query event is monitored, responding to the query event to query a multi-dimensional state parameter of the target intelligent equipment; adjusting a control strategy of the target intelligent equipment according to the multi-dimensional state parameters and the equipment operation result information to obtain a target control strategy; and controlling the target intelligent equipment according to the target control strategy. The technical problem that in a group control system in the prior art, due to factors such as equipment performance difference, network delay and instruction transmission errors, part of intelligent equipment may not correctly execute control instructions, and the overall control efficiency and safe operation of the equipment are affected is solved.

The invention discloses a communication method and system for on-line monitoring data of a power transmission line. Relates to a signal processing method and device. In order to overcome the problem of data loss or transmission errors caused by the fact that existing power transmission line data are transmitted through a power line, the method comprises the following steps: collecting power transmission line state data, modulating the power transmission line state data to a power transmission line state carrier signal, and transmitting the power transmission line state carrier signal through the power line; detecting the real-time state of the power line at the moment t; taking the real-time state of the power line at the t moment as input, and predicting an estimated state of the power line at the t + 1 moment through a power line state prediction model; and according to the estimated state of the power line at the t + 1 moment, selecting a corresponding signal processing strategy at the t + 1 moment to process the state carrier signal of the power transmission line.

The embodiment of the invention provides an overhead processing method and device, a storage medium and an electronic device, and the method comprises the steps: extracting frame header indication overhead from a current service layer container; the expected frame header indication overhead of a next service layer container is calculated based on the frame header indication overhead of the current service layer container, and the frame header indication overhead is a value except 0x1FF; and comparing the expected frame header indication overhead with the frame header indication overhead extracted from the next service layer container, and if a first preset number of consecutive comparison results are consistent, entering a synchronization state, the frame header indication overhead represents the number of byte blocks at an interval between the first new customer service frame header and the starting boundary of the service layer container. Through application of the method and the device, the problem of overhead error caused by transmission error in related technologies is solved, so that the accuracy of the determined overhead is improved, and the effect that the boundary structure of the customer service can be accurately identified is achieved.

The invention belongs to the technical field of harmonic reducer fault diagnosis, and particularly relates to a harmonic reducer intelligent fault diagnosis method based on DRGAF-SwinTransform. Comprising the following steps: S100, collecting encoder signals of an input shaft and an output shaft of the harmonic reducer, and calculating to obtain a transmission error signal; s200, variational mode decomposition is carried out on the transmission error signal, and two mode components with the highest crest factor are selected from the mode components obtained through decomposition to be identified as fault mode components; s300, performing feature fusion on the two identified fault mode components by using a multi-mode Grubrum angle field, and converting the two identified fault mode components into an RGB image; and S400, constructing a DRGAF-SwinTransform diagnosis model, inputting the RGB image obtained in the step S300 into the model to train the model, obtaining probability values of different faults, and realizing intelligent fault diagnosis of the harmonic reducer based on the DRGAF-SwinTransform.

The invention relates to the technical field of data transmission, and discloses a multi-mode intelligent modulation data transmission method based on channel state perception, and the method comprises the steps: obtaining channel state data, and determining a channel state parameter and a fluctuation parameter of a channel according to the channel state data; determining a channel state comprehensive parameter according to the channel state parameter and the fluctuation parameter, and determining a modulation mode of transmission data according to the channel state comprehensive parameter; transmitting the transmission data according to the modulation mode, monitoring a signal transmission error rate and a signal transmission delay of the transmission data, and determining a coding parameter of the transmission data according to the signal transmission error rate and the signal transmission delay; and carrying out Huffman coding on the transmission data according to the coding parameters, and carrying out compression transmission on the coded transmission data. According to the invention, the optimal modulation mode can be selected for the channel state to modulate the transmission data, and the transmission data is compressed and transmitted through the signal quality, so that the data transmission efficiency is effectively improved.

The present invention discloses a digital twin model data processing method applied to the energy storage Internet of Things. A digital twin model based on WASM is constructed. By realizing the synchronization of the digital twin models of WASM between the cloud and the edge, the training of the digital twin model of WASM is completed at the edge, and the model is transmitted to the cloud at the same time. The data of the energy storage device is predicted through the WASM digital twin model, and only the points different from the data prediction are transmitted, so as to effectively compress the data transmitted in the energy storage Internet of Things. When data transmission errors and data loss occur, the digital twin model can reasonably fill in the error data and reduce data discard.