274 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 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 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.

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.

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.

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 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 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.

The present disclosure relates to a CAN controller module. The CAN controller module is configured to detect transmission errors during transmissions of bits of a CAN frame via a CAN but and to handle these transmission errors robustly such that a high transmission rate is possible even if the transmission errors occur. The present disclosure also relates to a method for the CAN controller module.

The invention provides a sensor data transmission method and system, is applied to the technical field of sensor data transmission, and provides a basis for cooperative transmission by establishing a cooperative transmission node set. The start of cooperative transmission is controlled according to the data priority, so that the cooperative node determines whether to participate in cooperation according to the state of the cooperative node, a data copy is transmitted to provide multiple signals, diversity processing is performed by using the multiple signals, the signal-to-noise ratio of a received signal is improved, and the error rate of data transmission is reduced. Therefore, the method and the device have the beneficial effects of improving the data transmission reliability and reducing the data transmission error rate.

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 application discloses a layout method, device and equipment of a multi-connection gear in a new energy vehicle, a storage medium and a product, and belongs to the technical field of new energy vehicles. The method comprises the following steps: determining a gear arrangement space of a multi-connection gear of a new energy vehicle; determining a plurality of first candidate arrangement angles based on the gear arrangement space, wherein the first candidate arrangement angle is a candidate angle between gear shafts of the multi-connection gear; for any first candidate arrangement angle in the plurality of first candidate arrangement angles, determining a whole transmission error excitation of the multi-connection gear when the arrangement angle of the multi-connection gear is the first candidate arrangement angle, wherein the whole transmission error excitation is used to represent the degree of howling generated by the multi-connection gear; determining a first target arrangement angle with the minimum whole transmission error excitation from the plurality of first candidate arrangement angles based on the whole transmission error excitation of the multi-connection gear when the arrangement angle of the multi-connection gear is the plurality of first candidate arrangement angles; and determining arrangement information of the multi-connection gear based on the first target arrangement angle.

The present application relates to transmission link early warning technical field, disclose a real-time analysis and early warning system for rotating machine pump vibration data based on edge side calculation, include: capture the physical layer error code time sequence of transmission link and build the differential error code time sequence vector which removes the influence of absolute time drift;A dynamic rotating virtual electric vector space is constructed in the edge computing node, and the gradient ascent algorithm is used to optimize the target functional which measures the phase clustering strength, and the virtual space rotating frequency is adaptively adjusted to lock the best virtual frequency which makes the error code projection most concentrated;Based on the best frequency, the probability density distribution of error code phase is reconstructed by using kernel density estimation, and the generalized Renyi entropy is calculated as the characteristic of transmission error code phase clustering dispersion degree;By comparing the entropy characteristic with the dynamic threshold based on the environmental noise base, the transmission link abnormality is determined.

The invention relates to the technical field of integrated circuits and computer hardware structures, and particularly discloses a transmission error positioning method, a control circuit, a main device and a bus system.The method comprises the steps that a transmission request from the main device is received; the transmission request comprises a transmission address and a transaction identifier; in response to the transmission request, converting the transmission address into a corresponding slave device identifier through hardware address decoding logic; storing a transaction identifier of the transmission request and a slave device identifier in an idle entry of a cache structure; receiving a transmission response from the interconnect fabric or the slave device; the transmission response comprises a transaction identifier and a response state; searching an entry matched with the transaction identifier in the transmission response in the cache structure; and when the item matched with the transaction identifier in the transmission response is found and the response state indicates that the response is wrong, latching the slave device identifier in the matched item. According to the scheme, transmission error positioning can be realized in a bus system supporting advanced transmission.

The invention provides an interface checking method, belongs to the field of automobile electronic software development, and unifies interface naming specifications. Creating a software component model according to the interface naming specification; performing interface verification according to the software component model to ensure the interface consistency between the software components and avoid subsequent problems caused by interface mismatching; potential problems such as data type mismatching and parameter transmission errors are found in advance, restoration can be carried out in an earlier stage, and the later modification cost is reduced. The integration risk is minimized, normal and stable interaction between software components is ensured, and the workload and time cost in the integration test stage are reduced.

A position error monitoring method and control system of a rotating mechanism, in the position error monitoring method of the rotating mechanism, angular position data of an encoder of a first motor and an encoder of a second motor are acquired as first position data during a process; then, during a non-process, the relative speed between the first motor and the second motor is adjusted while the rotating mechanism remains in a rotating state, so that the relative position of the first rotating part and the second rotating part is dynamically adjusted to a preset calibration phase, and second position data are acquired during operation at the calibration phase; the transition from the process phase to the calibration phase can be completed without stopping the rotating mechanism, time loss and mechanical impact caused by frequent start and stop are avoided, and the operation efficiency and productivity of the rotating mechanism are improved; in addition, whether there is a transmission error is determined by calculating the deviation value between the second position data and the first position data, which helps to find faults in time and improve the consistency and yield of the process.

The invention relates to the technical field of semiconductors, and discloses a wafer loading and unloading device and method.The device comprises an upper computer control system and further comprises a mechanical arm system and a detection table system which communicate with the upper computer control system; the mechanical arm system comprises a mechanical arm controller communicating with the upper computer control system, and further comprises a wafer storage box and a feeding and discharging mechanical arm which communicate with the mechanical arm controller, and the wafer storage box and the feeding and discharging mechanical arm communicate with the upper computer control system. The detection table system comprises a detection table controller communicating with the upper computer control system and a detection table communicating with the detection table controller. The problem that in the prior art, transmission errors are large is solved.

The invention discloses a hierarchical tensor decomposition and compression method for a radial sensor network. The hierarchical tensor decomposition and compression method comprises the following steps: (1) acquiring basic data; (2) carrying out hierarchical tensor modeling; (3) decomposing in branches; (4) fusing the branches; (5) performing adaptive quantization; (6) multi-hop collaborative coding; and (7) outputting compressed data. In order to solve the three core problems of multi-hop error accumulation, insufficient redundancy utilization among branches and poor dynamic adaptability in the radial sensor network, the method provided by the invention reduces multi-hop transmission error accumulation reduction by establishing a hierarchical tensor model, graph convolution fusion among the branches and adaptive multi-hop quantization, and improves the dynamic adaptability of the radial sensor network. And the transmission efficiency and the life cycle of the radial network are obviously improved.

A Wi-Fi station (110; 120) for communication with at least one further Wi-Fi station is disclosed. The Wi-Fi station comprises a communication interface (113; 123) comprising a plurality of antennas (113b; 123b) configured for a multiple-input multiple-output, MIMO, transmission to the at least one further Wi-Fi station with an adjustable transmission Error Vector Magnitude, Tx EVM. The communication interface is further configured to receive from the at least one further Wi-Fi station an indication of a desired Tx EVM for one or more MIMO transmissions from the Wi-Fi station. The Wi-Fi station further comprises a processing circuitry (111; 121) configured to adjust one or more MIMO transmission parameters based on the indication of the desired Tx EVM for adjusting the Tx EVM not to exceed the desired Tx EVM for the one or more MIMO transmissions from the Wi-Fi station.

The invention discloses a position error monitoring method and a control system of a rotating mechanism, and the method comprises the steps: obtaining the angular position data of an encoder of a first motor and an encoder of a second motor as first position data in a process processing period; then, in the non-process treatment period, the relative speed between the first motor and the second motor is adjusted in the rotating state of the rotating mechanism, the relative position of the first rotating component and the relative position of the second rotating component are dynamically adjusted to the preset calibration phase, and second position data are obtained in the calibration phase operation period; transition from a process phase to a calibration phase can be completed without stopping the rotating mechanism, so that time loss and mechanical impact caused by frequent start and stop are avoided, and the operation efficiency and the productivity of the rotating mechanism are improved; in addition, whether transmission errors exist or not is judged by calculating the deviation value between the second position data and the first position data, faults can be found in time, and the consistency and yield of process processing are improved.

This application belongs to the field of core communication engines for Internet Protocol dedicated switches (IP switches), specifically involving a SIP terminal health detection method, apparatus, and storage medium. The method includes: when a contact has configured a detection frequency, if the contact has successfully registered for the first time, marking the contact's status as reachable; otherwise, determining whether the contact's terminal is a peer relay terminal and whether the peer relay terminal's configuration is being loaded for the first time; if so, asynchronously pushing the detection task to a dedicated thread pool; otherwise, periodically scheduling according to the detection frequency; during periodic scheduling, for unregistered relays, returning to the next scheduling interval; otherwise, pushing the detection task to the dedicated thread pool; when a normal response is received, for unregistered relays, marking the contact's status as unreachable; if the response times out or a transmission error occurs, forcibly terminating all subsequent retransmission attempts. This application's solution can improve scheduling efficiency, resource utilization, and security.