7 results about "Arrival process" patented technology

This invention discloses a low-power micro-flow sensing node acquisition and collaborative monitoring method, relating to the field of sensing data acquisition and collaborative monitoring technology. The technical solution involves: acquiring system operation observation information, distinguishing between the effective observation process and the data arrival process of nodes, forming a node sampling visibility interval, and generating sampling coverage results, sampling gap results, control action candidate effective windows, and logical topology effective windows; then performing window constraint deviation screening on the micro-flow sampling sequence to generate anomaly pending segments, physical connectivity candidate windows, and dynamic collaborative edge states; subsequently, performing causal consistency verification based on the dynamic collaborative edge states to generate topology inconsistency markers, causal reversal markers, and anomaly attribution results; finally, forming an unconfirmed window set, generating a low-power acquisition strategy for the next cycle, and outputting the micro-flow collaborative monitoring results, thereby reducing misattribution of anomalies caused by low-power sampling gaps, control action lag, and topology switching inconsistencies.

This invention proposes a train system maintenance strategy optimization method considering imperfect maintenance under dynamic environments. It characterizes the train system degradation path and impact arrival process based on a Markov process-modulated gamma process and a homogeneous Poisson process, respectively; determines the impact mechanism of imperfect maintenance on system degradation; establishes a reliability model considering imperfect maintenance to characterize the system's competitive failure process; and uses the update reward theorem to establish a model maximizing the expected profit margin under long-term system operation. Under the dual constraints of limiting average availability and expected operating time, using the number of imperfect maintenance operations between two adjacent replacements as the decision variable, it obtains the maintenance strategy that maximizes the long-term expected profit margin of the system. This invention considers the impact of dynamic environment and imperfect maintenance on train equipment reliability and maintenance strategy, and can obtain the maintenance strategy that maximizes the long-term expected profit margin of the train system while satisfying the expected operating time and limiting average availability of the equipment.

The present application relates to the technical field of packet processing, in particular to a method and device for realizing packet reassembly and verification in a network card chip, comprising the following steps: extracting address identification and fragmentation information to generate flow index and register reassembly table, recording fragmentation according to offset and calculating length, determining total length of packet and updating offset record, judging reassembly completion, splicing in sequence and performing header and transport layer verification after completion, submitting host queue and clearing record after verification, in the present application, source address, destination address and fragmentation related fields are extracted and combined synchronously when receiving data frame, the overall length of packet gradually converges during the process of arriving of fragments, consistency is determined according to the number of theoretical fragments and actual registered number, reassembly completion boundary is determined in advance, waiting and repeated judgment are reduced, abnormal content is identified and intercepted before submission, normal packet directly enters receiving queue according to splicing address and length, the processing path is more concentrated, and the data delivery rhythm is more stable.

The application provides a task-critical system operation strategy optimization method for performing heterogeneous tasks, and belongs to the field of system operation strategy optimization. The method comprises the following steps: obtaining posterior distribution of arrival rate and task quantity based on prior distribution of arrival rate and task quantity of each task and new information of the task, and obtaining hyperparameter updating rule and sufficient statistics; describing the degradation process of the system and designing system mode switching strategy and load adjustment strategy; constructing mode switching strategy and load adjustment strategy optimization model based on semi-Markov decision process framework; solving the optimization model by using an improved algorithm to obtain optimal mode switching strategy and load adjustment strategy when each task is completed. The application fully considers cognitive uncertainty caused by unknown parameters in the task arrival process and the task quantity distribution and system accidental uncertainty caused by the dependent relationship between load and degradation, establishes the structural characteristics of the optimal strategy, and realizes optimal strategy solving based on the structural characteristics.

The application discloses a power and bandwidth joint allocation method and system for multi-user downlink virtual reality service, comprising the following steps: obtaining a system model of multi-user downlink virtual reality service; obtaining a virtual reality service data packet model; calculating a moment generating function of a service arrival process based on the virtual reality service data packet model; constructing an arrival rate expression based on the moment generating function, and constructing a service rate expression of each user under a time delay violation probability constraint; traversing a discrete power set, and constructing a candidate power-bandwidth pair set based on the system model, the arrival rate expression and the service rate expression; performing Pareto screening on the candidate power-bandwidth pair set, and initializing resource allocation results of each user; adjusting the resource allocation results of each user based on a discrete marginal utility update rule; proportionally compressing a bandwidth proportion, and outputting final resource allocation results. The application can meet the time delay requirement of users, reduce system power consumption and improve bandwidth resource utilization efficiency.

The application discloses a kind of TSN-5G cross-domain fusion network's end-to-end delay modeling method and system, belong to deterministic network communication technical field.This method includes: constructing TSN-5G cross-domain fusion network;Random arrival process model and random service process model of 5G domain service flow are constructed, and then the probability delay upper bound of service flow in 5G domain is calculated;Based on SPI-DCM cross-domain parameter mapping mechanism, the statistical characteristic parameters of service flow are mapped into deterministic arrival curve of TSN domain;End-to-end service curve is constructed for TSN domain node, and is combined with deterministic arrival curve, and the deterministic delay upper bound of service flow in TSN domain is calculated;Finally, based on the probability delay upper bound of 5G domain, cross-domain link transmission delay and the deterministic delay upper bound of TSN domain, the end-to-end delay theoretical upper bound of service flow is obtained.The application provides analyzable, verifiable theoretical basis for end-to-end deterministic transmission in industrial internet.

The application relates to a blockchain technology protection vehicle networking communication framework and time delay optimization method, which comprises the following steps: S1, constructing a system based on a blockchain environment between edge devices; S2, calculating the time delay T of vehicle data extraction according to a Poisson point arrival process i ; S3, constructing a channel state model; S4, calculating the system time delay; S5, optimizing the system overall time delay E[T], and obtaining the most suitable lambda * by convex optimization, and adjusting the extraction data rate of the vehicle so that the system overall time delay E[T] is minimized; the application introduces a blockchain Raft consensus mechanism to ensure the integrity and safety of data transmission, dynamically adjusts the vehicle data extraction rate through a convex optimization algorithm, effectively reduces the system time delay, and meets the requirements of low delay and high reliability of vehicle networking; the application also provides a new idea for the application of the blockchain technology in the intelligent transportation field, and has important theoretical and practical values.