9 results about "Adaptive routing algorithm" patented technology

The invention relates to the technical field of Internet of Things, in particular to a multi-protocol conversion Internet of Things terminal communication method. Comprising the following steps: monitoring a communication data packet sent by Internet of Things terminal equipment in real time through a protocol sniffing module, and extracting a protocol feature field; matching the protocol feature field based on a dynamic protocol library, and identifying a native protocol type of the equipment; generating a protocol conversion strategy according to a target platform protocol demand, and calling a corresponding protocol analysis engine to perform semantic analysis on the data packet; the analyzed data content is reconstructed according to a target protocol format, and a unified communication interface packaging layer is added; and an optimal communication link is selected through an adaptive routing algorithm, and cross-protocol data transparent transmission is completed. The invention provides an integrated communication method capable of realizing efficient protocol dynamic identification, high-reliability semantic conversion, intelligent link optimization and safe packaging, so as to break through the technical barrier of multi-protocol Internet of Things terminal interconnection.

The invention discloses an intelligent computing cluster parallel training performance optimization method oriented to large model training, and relates to the technical field of artificial intelligence computing. Hardware feature indexes of heterogeneous computing nodes in an intelligent computing cluster are collected in real time, a hardware topological graph is constructed, and an optimal computing power combination suitable for the hardware topological graph is calculated; the method comprises the following steps: selecting an optimal communication path by adopting a self-adaptive routing algorithm, coding and decoding transmission data in combination with a mixed precision compression technology to realize efficient transmission of the transmission data, constructing a fault prediction model based on a deep learning algorithm, and inputting real-time data in a hardware monitoring log into the fault prediction model to obtain a prediction result. Prediction results are classified and stored according to a preset result classification standard, check points are trained based on the prediction results to achieve rapid recovery, the super-node computing power utilization rate is improved, meanwhile, a communication path can be dynamically adjusted according to the network congestion state, and the fault recovery speed is improved.

The invention discloses a gas unit maintenance path intelligent planning and conflict detection method for a narrow space, and belongs to the technical field of intelligent maintenance. According to the method, on the basis of a three-dimensional digital model of the gas unit and maintenance entity information, a topological self-adaptive routing algorithm of the gas unit is adopted, the component density, the space narrow degree and the maintenance entity motion characteristics of the gas unit are comprehensively considered, a safe and efficient maintenance path is planned, and optimization selection is carried out through multi-dimensional cost evaluation. And accurate conflict early warning is realized through multi-level collision detection. According to the method, a multi-dimensional priority evaluation model is introduced, factors such as component criticality, fault emergency degree, operation risk and component aging are integrated, the maintenance task priority is dynamically adjusted, and path planning is optimized accordingly. According to the method, the safety and efficiency of gas unit overhaul are remarkably improved, the collision risk is effectively avoided, resource allocation is optimized, the downtime is shortened, and intelligentization and benefit maximization of gas unit overhaul are achieved.

The invention discloses an inter-core communication method based on a PLC multi-core system, and relates to the technical field of inter-core communication, the PLC multi-core system is divided into a control core and a calculation core, and initialization configuration is carried out for different types of cores; a hybrid communication mechanism is set, the hybrid communication mechanism comprises an openAMP architecture and a shared memory mechanism, and environment establishment is carried out for the two communication modes; establishing a message type identification mechanism, and automatically classifying according to message features; constructing a self-adaptive routing algorithm to select an optimal communication mode; constructing a double linked list optimization management mechanism, calculating message priorities, and setting message sending time in a double linked list; when the PLC multi-core system sends a message, a sending core selects a core type according to the optimal communication mode, and openAMP architecture communication and shared memory mechanism communication are executed respectively according to the core type; and checking a communication result, executing an automatic retransmission strategy when the communication fails, and calculating retransmission times and retransmission intervals.

The invention provides a self-adaptive routing method and system based on Motif statistics and reinforcement learning, an on-chip routing network (Network-on-Chip, NoC) provides a communication basis for a decentralized many-core chip architecture, and the performance of the NoC is closely related to the routing method; according to the adaptive routing method and system, the data communication path is dynamically adjusted according to the actual operation scene of the chip, and it can be guaranteed that an on-chip routing network can express efficient communication performance in different complex communication scenes. Real-time global communication information is processed based on a complex network analysis method Motif, a Motif analysis result and other routing related information are combined, and a path selection strategy is trained through a deep reinforcement learning algorithm. The adaptive routing algorithm based on global communication analysis has stronger adaptive ability, and can provide better data communication time delay and higher data throughput in a complex and dynamically changing scene.

The invention relates to the field of network resource allocation, in particular to an FSDM network limited uplink and downlink port dynamic survival optical path configuration method and system, and the method comprises the steps: constructing an FSDM optical network employing a shared laser source and a local oscillator, building an analytical model, and predicting the network blocking performance under the condition of different numbers of uplink and downlink ports of optical cross connection nodes, determining a port threshold; and on the basis of a port threshold value, whether an idle uplink and downlink port exists in a source node and a destination node or not is firstly judged through a constructed adaptive routing algorithm, and then working and protection path search is started, so that FSDM optical network dynamic survival optical path configuration based on shared backup path protection is realized. According to the FSDM optical network protection strategy, the blank of the FSDM optical network protection strategy is filled, the analytical model can reduce redundant configuration and optimize the network cost, the adaptive routing algorithm can improve the spectrum utilization efficiency, and the medium Spa SCh granularity configuration is adopted, so that the FSDM network has high cost benefit.

This invention discloses a multicast NoC routing system and its implementation method based on an adaptive routing algorithm, belonging to the field of Network-on-Chip (NoC) communication technology. The technical problem it addresses is that existing solutions, such as tree-structured virtual circuit multicast or parallel pipelines, fail to effectively balance dynamic obstacle avoidance and low-overhead requirements. The system includes an input control and routing arbitrator, used to receive data chips introduced by upstream nodes, extract the target address, compare the target address with the local address in X-Y dimension order, and generate direction selection signals Select1 / Select2 and a virtual circuit hold signal Keep_sel; a crossover selection switch, used to copy data packets according to the direction selection signals Select1 / Select2, filter irrelevant addresses, and distribute data in parallel to multiple directions; and an output buffer and controller, used to buffer data, handshake with downstream nodes, manage tail chip processing and virtual circuit release, and implement an anomaly recovery mechanism.

The invention discloses an optical network operation and maintenance system based on an intelligent control technology, which belongs to the technical field of optical network operation and maintenance, and comprises a master station optical network operation and maintenance system intelligent platform, a plurality of optical network operation and maintenance control terminals deployed at a far-end station, a self-adaptive routing algorithm, an optical switch matrix and an optical channel resource management platform based on a B / S (Browser / Server) architecture. The system provided by the invention realizes efficient operation and maintenance of the optical network by detecting the optical signal power in real time and automatically optimizing the route. The adaptive routing algorithm can dynamically adjust the routing strategy according to the network state and the optical channel performance data, thereby improving the accuracy and response speed of network topology analysis and resource scheduling. The optical switch matrix adopts a mirror array structure driven by a micro electro mechanical system, integrates a wavelength selection switch function module, can realize accurate wavelength level scheduling, has the characteristic of low insertion loss, and remarkably improves the reconstruction flexibility of an optical channel and the stability of a network.

This invention relates to a latency-optimized adaptive routing method and system for satellite networks, belonging to the field of satellite communication technology. The method includes steps such as constructing multi-hop information age, multi-path routing, link state awareness, traffic segmentation adaptive routing, and dynamic routing decision-making. It employs a multi-hop information age model to consider the time-varying nature of link states, accurately estimating the real-time nature of path information and ensuring the timeliness of data updates. A multi-path search algorithm predicts link occupancy frequencies based on ephemeris information to construct multiple non-overlapping transmission paths, alleviating traffic congestion and optimizing link resource utilization. A traffic segmentation adaptive routing algorithm adjusts the path traffic allocation ratio, reducing data packet loss rate and information age, ensuring the stability of latency-sensitive data transmission. In highly dynamic satellite networks, this method balances resource utilization, effectively prevents link congestion, improves overall transmission efficiency and reliability, and provides a highly adaptable and efficient transmission solution for latency-sensitive services.