94 results about "Packet loss rate" patented technology

The application discloses a real-time communication and data interaction method for coordinated operation of energy storage power stations and power grid dispatching, and relates to the technical field of data processing.The application solves the technical problems that transmission rate control is only dependent on simple indexes and fixed adjustment mode, cannot adapt to dynamic changes of network load, and has data redundancy and low transmission efficiency in the transmission process.The application can more flexibly and accurately adjust the data transmission rate according to the real-time changes of the network load, improve the data transmission efficiency and network utilization, and guarantee the stability and smoothness of data transmission by constructing a multi-dimensional load monitoring system, comprehensively considering indexes such as CPU usage, memory usage, network bandwidth utilization and packet loss rate, and processing the data through binary conversion, segmentation, recombination and encryption, classifying and recombining the data according to the total sum of binary numbers, combining parity encryption, and enhancing data security; and adding meta information header to integrate data and optimize the transmission structure.

The application discloses an intelligent networked traffic flow cooperative control method for coping with communication network attacks, and relates to the technical field of intelligent networked vehicle cooperative control in a vehicle networking environment.The method collects running state data of a target vehicle and multiple preceding vehicles, communication link state information and vehicle-mounted sensing data, constructs an information interaction topology between the vehicle and the preceding vehicles, extracts indicators such as communication delay, packet loss rate and routing features to establish a comprehensive network attack risk model, and when the risk exceeds a threshold value, cross-checking is performed in combination with real environment benchmark data provided by a roadside unit, trusted state quantities are extracted, untrusted vehicles are isolated and a cooperative topology weight is reconstructed, vehicle longitudinal control instructions are further generated in combination with a dynamic trusted expected safety vehicle distance, and the influence of network attacks on vehicle car following control performance is suppressed, so that the safety, stability and robustness of intelligent networked traffic flow operation in a complex communication environment are improved.

This invention relates to the field of electronic digital data processing and digital information transmission technology, specifically to a cloud-based intelligent data processing system for multiple nodes. The system includes a data preprocessing unit, a topology-aware scheduling engine, a graph neural network device, and a task execution unit. The data preprocessing unit extracts the temporal dependencies and logical associations of the input data stream to generate a directed acyclic graph (DAG). The topology-aware scheduling engine maps the graph to the physical network topology and calculates link bandwidth margin and congestion status. The graph neural network device jointly encodes node computational load and edge link status to output a task allocation strategy. The task execution unit schedules strongly dependent tasks to adjacent nodes with sufficient link margin and idle computing power according to the strategy, and dynamically migrates tasks to alternative path nodes based on link packet loss rate during execution. This invention reduces data transmission latency across switches in multi-node cascading and avoids node computing power idleness caused by local link congestion.

This invention provides an energy efficiency optimization method for the large-scale deployment of ultra-reliable low-latency (URLLC) devices, comprising: Step 1: Calculating the short packet collision probability and short packet reception failure probability of a single device, and calculating the packet loss rate of the device based on the calculated short packet collision probability and short packet reception failure probability; Step 2: Calculating the packet loss rate of each device, and grouping devices with similar communication environments into one category based on the calculated packet loss rate; Step 3: Optimizing the energy efficiency of all devices categorized in Step 2 using a deep reinforcement learning method. The beneficial effects of this invention are: 1. The method can effectively reduce the transmission power of sensing devices sending short packets and the number of times the same short packets are repeatedly sent, significantly improving the communication energy efficiency of URLLC devices and extending their battery life; 2. The method of this invention uses a classification method, which significantly shortens the training time of deep reinforcement learning.

This invention discloses a novel intelligent sharing and optimization method and system for aesthetic education resources based on a cloud platform, belonging to the field of resource sharing technology. By deploying multiple types of sensors in the classroom to collect teaching environment data and construct a classroom environment feature vector, a resource environment demand vector is established, and the environmental adaptability between the classroom environment and various aesthetic education resources is calculated. The network link status between the classroom terminal and the cloud platform is detected in real time, and parameters such as bandwidth, latency, and packet loss rate are obtained. Resource network matching coefficients are calculated, and the environmental adaptability and network matching coefficients are further integrated to construct a comprehensive resource availability. A resource scheduling priority sequence is generated by combining course matching degree and concurrent call status. This achieves intelligent sharing and dynamic optimization scheduling of aesthetic education resources in multi-classroom scenarios, improving the environmental adaptability and transmission stability of resource sharing, and enhancing the utilization efficiency and teaching implementation reliability of aesthetic education resources on the cloud platform.

A multi-channel time-coordinated transmission system and method for low-altitude identification signals, belonging to the field of multi-channel transmission technology, aims to address the problem of increased air interface packet loss rate in low-altitude, high-density flight scenarios, leading to flight trajectory loss in ground monitoring systems. The method includes: acquiring the transient kinematic parameters of a low-altitude flight entity within the current period and analyzing the spatial grid hash value corresponding to the physical space where the low-altitude flight entity is located; generating a time slot offset matrix covering multiple different radio frequency bands; extracting the time delay offset corresponding to each radio frequency band based on the time slot offset matrix; mapping the identification signal frame to be transmitted to a multi-channel radio frequency module; and using the multi-channel radio frequency module to stagger the broadcasting of the identification signal frame according to the time delay offset corresponding to each radio frequency band. This invention improves the anti-interference capability of identification signals in low-altitude, high-density scenarios and reduces the data packet collision rate and packet loss rate.

This invention discloses a pole-holding attitude control system and its data transmission method, equipment, and medium, relating to the field of pole-holding attitude control technology. The controller constructs a channel multipath interference fluctuation index, a time slot integrity risk index, and a dynamic retransmission time window adjustment coefficient based on the signal strength and signal-to-noise ratio of the channel used for wireless communication, the pole's acceleration, the actual and theoretical reception times of data packets, the packet loss rate, and a preset standard time length. It then dynamically adjusts the data packet retransmission waiting time based on the dynamic retransmission time window adjustment coefficient. After the retransmission waiting time expires, a data retransmission request is sent to the inertial sensor. By dynamically adjusting the data packet retransmission waiting time, adaptive data retransmission is achieved: prioritizing real-time performance when the network is good and ensuring data integrity under strong interference, thus improving the reliability of data transmission.

The application relates to the technical field of data communication, and discloses a device end data transmission method and system based on WebRTC technology, which establishes a communication network through WebRTC and an adaptive network protocol corresponding to the communication network, so that when the current network state is in a congested state, the data transmission rate is determined according to the network bandwidth and the round-trip delay, and when the current network state is in an idle state, the data transmission rate is determined according to the congestion window size and the packet loss rate. The network can accommodate the data amount based on the network bandwidth and the round-trip delay, and the data transmission rate is determined, the network bandwidth is fully utilized, the data preemption capability is improved, the congestion window size and the packet loss rate control the data transmission rate, the data error rate during data transmission is reduced, the reliability of data transmission is improved, the flexibility during WebRTC data transmission is improved from two aspects, and the data transmission effect is greatly improved.

This invention relates to the field of network traffic technology, and more particularly to an AI-based real-time abnormal network traffic detection method and system. The system includes: a data processing module that collects network traffic data in real time and sequentially cleans, de-identifies, structures, and extracts features from the data; a traffic detection module that trains an initial model, analyzes the network traffic data, and issues an early warning when anomalies are detected in the analysis results; an executability judgment module that determines whether the executability of the analysis results does not meet requirements based on the quality characterization value of the analysis results; a depth adjustment module that determines the elastic resolution coefficient of the network traffic data parsing depth based on the packet loss rate of the network traffic data; and a granularity adjustment module that determines the triggering dynamic response granularity of the traffic features based on the generation delay of the early warning information. This invention improves the stability of real-time detection.

The method comprises: acquiring a data packet, wherein the data packet carries a type identifier of the data packet; determining a plurality of data transmission links; selecting between a first transmission mode and a second transmission mode a transmission mode corresponding to the type identifier, wherein the first transmission mode indicates the use of the plurality of data transmission links to transmit the data packet in parallel, and the second transmission mode indicates the selection of one data transmission link from among the plurality of data transmission links to transmit the data packet; and transmitting the data packet in the transmission mode corresponding to the type identifier. Thus, the packet loss rate of critical data packets can be reduced, and the transmission efficiency of non-critical data packets can also be improved, thereby improving the overall transmission efficiency of a plurality of data packets generated by an application, and thus achieving a good trade-off between data transmission reliability and data transmission efficiency.

The application provides a data transmission rate self-adaptive adjustment method and device, wherein the method comprises the following steps: controlling a sending end to send data packets to a receiving end at a predetermined first rate; calculating a first packet loss rate and judging whether the first packet loss rate is greater than a preset threshold; if yes, controlling the sending end to send data packets to the receiving end at a predetermined second rate; calculating a second packet loss rate and judging whether the second packet loss rate is greater than the preset threshold; if yes, controlling the sending end to send data packets to the receiving end at a predetermined third rate; wherein the first rate is greater than the second rate, and the second rate is greater than the third rate; the first rate and the third rate are determined according to the second rate, and the second rate is determined based on the distance between the sending end and the receiving end. The application can effectively reduce the packet retransmission times, improve the data transmission rate and the overall throughput performance by calculating the distance between the sending end and the receiving end to determine the second rate and then sending data at the three rates.

This invention provides an energy-saving method, apparatus, and device for low-latency small packet services in 5G networks, comprising: collecting the PDCCH CCE utilization rate of the NR cell, the uplink packet loss rate of VoNR services, the uplink CCE allocation failure ratio, and the BWP configuration status; if the PDCCH CCE utilization rate is higher than a first threshold, then expanding the PDCCH resources; if the PDCCH CCE utilization rate is lower than the first threshold, then checking whether BWP0 overlaps with BWP2 in the frequency domain, and whether the scheduling priority of system messages is higher than that of the VoNR service; if BWP0 overlaps with BWP2 in the frequency domain, and the scheduling priority of system messages is higher than that of the VoNR service, then frequency domain offsetting is applied to BWP0 to separate the frequency domain resources of BWP0 from those of BWP2, and the bandwidth of BWP0 is gradually increased. This invention achieves energy saving for low-latency small packet services while maintaining VoNR call quality.

Embodiments of the present application provide an image encoding method, apparatus and device for a video call, a storage medium, and a product. The technical solution provided in the embodiments of the present application comprises: determining an estimated bandwidth for performing a real-time video call with a second terminal, a video playback frame rate of the second terminal, and a video packet loss rate of a first terminal; when the video playback frame rate and the video packet loss rate meet a bitrate table adjustment condition, increasing the minimum bitrate and the maximum bitrate of a preset level in a preset bitrate table, to obtain a target bitrate table; on the basis of the estimated bandwidth and the target bitrate table, determining an encoding resolution; and on the basis of the encoding resolution, performing video encoding on images to be encoded in the video call to obtain encoded video information. In scenarios with average network conditions or significant network fluctuations, increasing the minimum and maximum bitrates of a preset level in the preset bitrate table makes it easier for video encoding to trigger downscaling of the image encoding resolution, and also makes it easier for the second terminal to trigger video super‑resolution processing, thereby improving call quality and enhancing user experience.

This invention discloses a data communication scheduling system for intelligent manufacturing production lines based on edge computing, belonging to the field of industrial IoT edge computing data scheduling technology. The system synchronously acquires the real-time load current discrete sequence of the target device node and the real-time signal-to-noise ratio sequence of the main communication path, extracting the second-order derivative zero-crossing discrete component and the first-order attenuation discrete component of the envelope. A cross-correlation algorithm is used to perform coherence analysis to derive a cross-domain healthy coupling index. Using this index as the independent variable, a weighted mapping of the real-time packet loss rate is performed through an exponential gain function to generate a virtual impedance factor. It determines whether the index exceeds a threshold to trigger backup gateway context pre-synchronization and calculates the positive offset. Finally, a normalization function is used to calculate the traffic allocation weight and configure path scheduling labels to achieve dynamic scheduling of multi-path traffic splitting actuators. This solution achieves a priori prediction of industrial communication link quality and refined multi-path traffic splitting scheduling.

The application discloses a kind of vehicle-mounted Ethernet dynamic flow scheduling method and system, it is related to vehicle communication field, comprising: T1, the data stream feature registration and global view management of the equipment of access vehicle-mounted network are carried out;T2, time window is taken as scheduling unit, multiple time slots are divided in time window, and hierarchical time slot scheduling model is constructed;T3, based on flow quota, network data is monitored and flow shaping in real time, and burst flow is inhibited;T4, according to the trigger of high priority emergency data stream, time slot preemption and time window dynamic reconstruction are executed;T5, according to network transmission quality feedback, the bandwidth quota of each data stream is adaptively adjusted.Through the above scheme, time window and three-level time slot physically isolate burst flow, ensure that safety data bandwidth such as braking, steering is monopolized, significantly reduce the packet loss rate, realize key business strong guarantee.

The embodiment of the application discloses a protocol data unit (PDU) processing method and device. The method comprises the following steps: receiving quality of service (QoS) information sent by a second network device, the QoS information being associated with a PDU set; and processing the PDU set associated with the QoS information and / or a PDU in the PDU set according to the QoS information. The first network device can support QoS processing of a protocol data unit set in a radio access network, can regulate network traffic, avoid and manage network congestion, reduce the packet loss rate, and effectively improve the reliability of system communication.

Methods and systems for monitoring rotation and position of a rod-string in a pumpjack by monitoring RF signal characteristics of wireless transmissions. A wireless device, such as a wireless load cell, is positioned to move relative to a stationary receiver during pumpjack operation. As the wireless device moves (through rotation above a rod rotator and / or linear motion during pumping strokes), RF signal characteristics vary predictably. Monitored characteristics may include signal strength, link quality, attenuation, RSSI, SNR, bit error rate, packet error rate, packet loss rate, communication interruption rate, and other RF parameters. The rod-string acts as an RF obstruction, creating periodic variations when the wireless device rotates. Rotational status, rate, and direction are determined from variation patterns. Position within the stroke cycle may also be determined. Rotator failure is detected through absence of expected variation patterns. The invention enables rotation and position monitoring without dedicated sensors, using existing wireless equipment.

This invention relates to the field of automotive electronics technology, and more particularly to a vehicle communication network system, a vehicle control method, and a storage medium. The system includes: at least one service controller, an engine compartment domain controller, a body domain controller, and a chassis domain controller, as well as domain nodes corresponding to the engine compartment domain controller, body domain controller, and chassis domain controller respectively; the engine compartment domain controller, body domain controller, and chassis domain controller are connected to at least one service controller via a first bus to form a first backbone network; the engine compartment domain controller, body domain controller, and chassis domain controller are each connected to their corresponding domain nodes via a second bus to form a second backbone network. Using the above vehicle communication network system can solve the problems of slow transmission rate, high packet loss rate, poor reliability, and susceptibility to interference in existing vehicle communication network systems, improving the accuracy and speed of data transmission and meeting the network requirements of the entire vehicle.

This invention relates to the field of mobile communication technology and discloses a roaming session fault self-healing method and system based on anomaly detection. The method includes: continuously collecting control plane signaling round-trip latency, user plane packet loss rate and throughput fluctuation variance, and service quality flow anomaly change frequency during the PDU session lifecycle; calculating the mean, standard deviation, and slope of each indicator in real time using a sliding window; determining the anomaly level based on indicator exceeding limits or collaborative degradation trends; and performing log recording, local resource rescheduling, or cross-network function collaborative recovery according to mild, moderate, and severe anomalies, respectively. The system includes a multi-dimensional data acquisition unit, an anomaly detection unit, and a hierarchical self-healing decision unit, all integrated into the SMF (Service Quality Flow). This invention achieves early warning 5-10 seconds before session interruption through proactive intervention and hierarchical precise repair, effectively reducing signaling overhead, and requiring no modification to the existing network protocol stack, making deployment convenient.

The application discloses a client perception and quantification method for power utilization information collection data transmission, comprising the following steps: collecting multi-dimensional parameters such as link bandwidth occupation, transmission delay and packet loss rate through an edge end electric collection perception calculation and analysis platform, performing feature mapping and enhancement through an electric collection transmission abnormality perception identification network, calling a transmission link perception diagnosis prediction model to predict abnormal trends, dynamically correcting load deviation by using a client load balancing error correction algorithm, constructing a quantification evaluation system by integrating various data through the platform, and finally outputting results such as client perception quantification values, while performing operations such as calibration feature screening, time sequence decomposition, correction amount calculation and parameter integration. Through multi-technology cooperation and full-process closed-loop design, the application realizes comprehensive perception and accurate quantification of the transmission state of the client, and adapts to the complex scene requirements of power utilization information collection data transmission.

The application discloses a power grid congestion dredging peak regulation method and device, electronic equipment and storage medium, belongs to the technical field of power system operation control, the method comprises the following steps: obtaining the task queue state, network state parameter, original congestion power flow direction and dynamic regulation parameter of each data center of the power grid; based on the bandwidth and the calculation intensity characteristic generation time translation load and space transfer load, construct the time and space schedulable feasible region, and map to the effective virtual power transmission capacity; the decision model is established and solved with the maximum total net income as the target, and the cross-region computing power migration strategy is obtained; combined with the actual migration rate, the packet loss rate and the time delay jitter, the congestion factor and the response deviation are calculated, the upper limit of the bandwidth is dynamically corrected, the congestion dredging and the peak regulation control are realized. Through the implementation of the application, the problem that the control error accumulates due to the lack of closed-loop feedback mechanism in the cross-region computing power scheduling of the prior art, and the virtual power transmission capacity is difficult to respond accurately on the power grid side can be solved.

This application provides a network acceleration method, an electronic device, and a readable storage medium, and relates to the field of network communication technologies. Different data flows in an electronic device correspond to different flow quality evaluation conditions. When a flow quality parameter of any data flow meets a flow quality evaluation condition corresponding to the data flow, the electronic device switches the data flow from a current network interface card to another network interface card for transmission, thereby implementing network acceleration. The flow quality parameter includes at least one of the following parameters: a latency, a rate, a packet loss rate, a retransmission rate, or whether a packet response times out. Because corresponding flow quality evaluation conditions are respectively set for different data flows, different network acceleration time points can be obtained for flow quality of the data flows, thereby avoiding a freezing phenomenon.

This application relates to a congestion control method and a traffic splitter system for lossless networks. The method includes: collecting the queue depth of each output port; comparing the queue depth with a congestion threshold to determine the congestion state, where the congestion state includes multiple congestion levels corresponding to a set of linked response parameters; obtaining cache depth configuration parameters and traffic splitting weights from the linked response parameter set based on the current congestion level, with the two jointly generated within the same decision cycle and inversely correlated for the same output port; performing cache depth adjustment, scheduling priority adjustment, and traffic allocation based on the linked response parameter set; statistically analyzing the packet loss rate change within the evaluation window after the adjustment action, and upgrading the congestion level and re-jointly deciding when the adjustment is ineffective. This application couples the decisions of caching, scheduling, and traffic splitting into an inseparable joint generation process through the linked response parameter set, and drives inter-stage jumps with closed-loop feedback, reducing packet loss caused by micro-burst traffic in high convergence ratio scenarios.

The application relates to the technical field of communication, in particular to an abnormal link determination method and device, electronic equipment and storage medium, to improve the accuracy of abnormal link determination. The method comprises the following steps: based on the attribute information of a to-be-detected link, continuously sending a monitoring request message to a monitoring terminal corresponding to the to-be-detected link, wherein the monitoring request message at least contains a service type corresponding to the to-be-detected link; based on the average time delay of each monitoring response message returned by the monitoring terminal, and in combination with the packet loss rate of each monitoring request message that has been sent, obtaining a detection result of the to-be-detected link under the corresponding service type. In this way, since the abnormal time interval of the abnormal link is short, when determining the detection result of the to-be-detected link under the corresponding service type, continuously sending the monitoring request message of the corresponding service type can determine whether the to-be-detected link is abnormal under the corresponding service type at a certain moment, thereby improving the accuracy of abnormal link determination.

The application provides a service data transmission method of a household appliance and the household appliance, and relates to the technical field of household appliances. When the system chip determines that target service data satisfying a preset transmission rate increasing condition exists, the target service data from a service data collection module is received at a relatively high second data transmission rate. A first kernel system and a second kernel system of the system chip perform service operations associated with the target service data based on a kernel-to-kernel communication mechanism. Understandably, because the first kernel system and the second kernel system of the system chip adopt the kernel-to-kernel communication mechanism, the data communication rate, safety and electromagnetic interference can be avoided, and the data packet loss rate is reduced. In addition, the kernel-to-kernel communication mechanism releases part of the communication resources, so that the data transmission rate of the target service data can be improved, and the response rate of the service operations associated with the target service data is greatly improved in general.

The application discloses a kind of intelligent network connection large-scale open road roadside message existence detection method, comprising: step 1, determine roadside message verification standard;Step 2, collect roadside message data on large-scale open road;Step 3, the sending situation of roadside message data collected, message coverage, message packet loss rate are verified and distinguished using ordinary test and detailed test combined mode;When the sending situation of roadside message data, message coverage, message packet loss rate are verified, only then consider that the roadside message of the point to be measured of the point to be measured meets the requirements.The application establishes a complete process for the daily inspection of roadside message maintenance for large-scale open road, and uses the method of ordinary test and detailed test combination to systematically and completely verify and distinguish the roadside message sending, message coverage and message packet loss rate, which improves the efficiency of the inspection and operation work of the large-scale roadside message detection work and the reliability of the detection work.

The application discloses a data packet transmission method, device and equipment and a readable storage medium. The method comprises the following steps: obtaining a data packet of a target application, the data packet carrying a target data packet type identifier; determining a plurality of data transmission links for transmitting the data packet; determining a target transmission mode corresponding to the target data packet type identifier in a multi-link concurrent transmission mode and a multi-link aggregation transmission mode based on a transmission mode determination rule, wherein the multi-link concurrent transmission mode is a transmission mode of transmitting the data packet in parallel through the plurality of data transmission links, and the multi-link aggregation transmission mode is a transmission mode of transmitting the data packet through a selected data transmission link from the plurality of data transmission links; and transmitting the data packet according to the target transmission mode. In this way, the packet loss rate of key data packets can be reduced, the transmission efficiency of non-key data packets can be improved, the overall transmission efficiency of a plurality of data packets generated by the target application can be improved, and a good compromise between data transmission reliability and data transmission efficiency is achieved.

The application discloses a video transmission method suitable for wideband and narrowband channels, comprising the following steps: a video acquisition module acquires image transmission to a video encoding module; the video encoding module encapsulates video data; a to-be-transmitted data sending management module transmits the video data to a video receiving module through wideband and narrowband transmission channels; the to-be-transmitted data sending management module transmits the video data in the wideband and narrowband channels respectively; the to-be-transmitted data sending management module acquires signal strength rssi and sends the calculated distance d change rate k to a channel information acquisition and processing module; the video receiving module calculates the video data packet loss rate l and the data packet receiving time delay t and sends them to the channel information acquisition and processing module; the channel information acquisition and processing module calculates the channel transmission effect judgment value y; the data transmission level is adjusted according to the channel transmission effect judgment value y; the video receiving module receives the data and transmits the data to a video decoding module for decoding and then displays the data by a video display module.

This invention belongs to the field of logistics signal processing, and particularly relates to a communication linkage scheduling method for logistics drones and intelligent turnover cabinets. The method includes: calculating the real-time straight-line distance between the drone and the intelligent turnover cabinet; establishing a two-way communication link and acquiring the real-time status of the cabinet when the distance is less than or equal to a first preset threshold; performing phased scheduling based on the distance range, sending an approach warning signal when the distance is far, and sending a door opening command when the distance is close, and issuing a hovering positioning signal after confirming that the door is fully opened; during the linkage process, collecting interference parameters such as electromagnetic interference intensity in real time, dynamically adjusting the modulation coding method and transmission power, and monitoring the packet loss rate and retransmission count; when the threshold is exceeded, reselecting a frequency band to rebuild the link; in the second stage of scheduling, continuously monitoring the door status and hovering positioning accuracy; when both conditions are met, generating a cargo handover permission signal to trigger a delivery or retrieval action; this invention improves the reliability and environmental adaptability of the collaborative operation between the drone and the turnover cabinet.

The application provides a gain control method, device, wireless signal receiving circuit and related equipment. The gain control method comprises: obtaining a demodulation result of a data packet, the demodulation result representing whether the data packet is successfully demodulated; predicting a target signal strength of a next data packet according to the demodulation result; determining a target receiving gain corresponding to the target signal strength from a preset corresponding relationship between signal strength and gain; and regulating and controlling a gain circuit according to the target receiving gain. Through the gain control method, the anti-interference capability of receiving and demodulating the data packet can be improved, and the packet error rate and the packet loss rate of wireless communication can be reduced.