3859 results about "Communication link" patented technology

The invention relates to the technical field of computing power scheduling, and discloses a heterogeneous resource computing power intelligent scheduling method and system. According to the method, real-time state monitoring is conducted on heterogeneous computing resources, and resource state parameters such as the computing unit utilization rate and the memory occupancy rate are obtained; task attributes and user request parameters of the task queue are collected, historical task data are processed based on the genetic algorithm optimization model to execute task demand prediction, and predicted demand parameters are generated. A dependency graph containing resource unit nodes and communication link roadsides is constructed through a resource topology analysis tool, predicted demand parameters are input into a scheduling priority classifier trained by a graph neural network, and an actual scheduling priority is identified. And executing resource conflict prediction based on the priority, inputting task feature vectors into a conflict resolution module of a fuzzy logic decision maker, outputting actual conflict resolution parameters, and finally integrating to generate a scheduling scheme containing a resource allocation sequence and an execution time table.

The invention discloses an intelligent substation communication link fault accurate positioning method and system, and the method comprises the steps: obtaining a configuration file and equipment state data, carrying out the processing of the configuration file and the equipment state data, and generating a standardized link feature vector and a marking data set; constructing a hybrid deep learning model, and optimizing parameter configuration of the hybrid deep learning model by adopting an optimization algorithm to obtain a parameter-optimized hybrid deep learning model; training by using a real fault sample in combination with a virtual fault sample generated by a generative adversarial network, optimizing a time sequence prediction capability through an echo state network, and generating a fault positioning model; in combination with the link state data, outputting a fault link positioning result and confidence evaluation through multi-stage confidence evaluation and topological correlation analysis; and carrying out virtual-real corresponding verification in combination with the configuration file, carrying out parameter optimization on the fault positioning model, and outputting a fault positioning system. The problems that the fault positioning precision is low, the response speed is low, and complex fault scenes cannot be processed are solved.

The invention discloses a personalized federated learning optimization method and system, and mainly solves the problem of poor performance of an existing personalized federated learning model. The method comprises the following steps: establishing a communication link between a client and a server; each client receives a current global sharing model parameter broadcasted by the server, loads the current global sharing model parameter to a local model, and introduces a total loss function of a dynamic alignment strength definition model; training and optimizing local model parameters, and updating shared parameters by using the parameters; the client side calculates a self-adaptive aggregation weight based on the parameter updating quantity norm, the data volume weight and the synchronous frequency weight of the client side, and uploads the self-adaptive aggregation weight and the updated shared parameters to the server; and the server receives the parameter and weight information uploaded by the server, executes global model aggregation to obtain an updated global model, and outputs the global model reaching accuracy convergence or a preset training round on the verification set. According to the method, local personalization and global consistency can be balanced, the robustness and efficiency of global aggregation are improved, and the method can be used for processing scenes of high data isomerism and dynamic change of client participation states.

The invention relates to the technical field of mine safety early warning, and particularly provides a mine risk early warning method based on multi-parameter fusion and trend prediction, and the method comprises the steps: collecting multi-dimensional safety parameters including mine environment, equipment operation and production working condition parameters in real time; acquiring mine historical data, and generating a parameter association feature set through time sequence analysis in combination with real-time multi-dimensional parameters; inputting the multi-dimensional parameters and the feature set into a trained risk trend prediction model, and outputting a current risk level and an evolution trend; according to the risk level, the evolution trend and the real-time parameters, early warning information and a response strategy are dynamically generated; and the communication link is adapted based on the risk level, and the early warning information and the strategy are pushed to the target terminal. The method breaks through single parameter monitoring limitation, breaks through traditional alarm hysteresis through multi-parameter fusion and trend pre-judgment, constructs a perception-pre-judgment-response-transmission complete closed loop, solves the problems of early warning and disposal disjunction, transmission failure and the like, and improves the active prevention and control capability and management and control accuracy of mine risks.

The invention relates to a three-in-one network Internet of Things card automatic switching method. The switching method comprises the following steps: collecting state parameters of a plurality of operator networks; constructing a signal space topology model of the target area, predicting each operator network according to the signal space topology model, and calculating a comprehensive quality score of each operator network according to a preset multi-dimensional weighted evaluation model so as to establish standby communication links of other to-be-switched networks; calculating a corresponding switching income index according to the comprehensive quality score and a historical switching record of the currently used network, and generating a corresponding network switching instruction; and calculating a communication performance change result before and after switching of the network switching instruction so as to perform adaptive adjustment on weight parameters in the multi-dimensional weighted evaluation model. The method can predict and complete switching in advance before signal attenuation or network congestion, avoids communication interruption, dynamically optimizes a decision according to the use history and switching cost, and achieves a network switching control effect with both performance stability and economical efficiency.

The invention relates to the field of computer systems, in particular to an operation stability testing method and system oriented to a heterogeneous computing system, and the method comprises the steps: constructing a system overall operation logic model comprising a resource topological structure, a task scheduling rule and a communication link matrix; identifying a key communication path according to the communication link matrix, analyzing a resource competition hotspot in combination with a task scheduling rule, and establishing an interference model library; calling a specific model instance in the interference model library according to a test target, configuring injection parameters, and dynamically applying interference in a system operation process; key performance indexes in the system operation process are collected in real time; based on the real-time monitoring data, a multi-index weighted scoring algorithm is adopted to calculate an overall stability coefficient, a robustness grade and a self-healing capability index of the system, and a stability evaluation result is generated; and generating a visual report according to the topological structure of the operation logic model, and supporting comparison and analysis of historical versions. Unified centralized management is realized, and test efficiency and evaluation accuracy are improved.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

According to the lightweight helicopter fault diagnosis method and device based on cloud edge cooperation and the medium, a dynamic cooperative distributed intelligent diagnosis system is constructed between the cloud end and the edge end, so that efficient lightweight reasoning of the edge end and centralized optimization training of the cloud end are realized; therefore, an aviation health management platform with self-learning, self-adaption and online updating capabilities is constructed. The whole system adopts a cloud-edge-end three-level architecture, wherein the end side is responsible for data acquisition and preprocessing; the edge side undertakes real-time diagnosis and lightweight model reasoning; and the cloud is responsible for global training, model scheduling and strategy optimization. Cyclic interaction of model parameters, task instructions and diagnosis results is achieved between the cloud and the edge through a secure communication link, and a closed-loop intelligent updating mechanism is formed. According to the method, the real-time performance, the computing power efficiency, the model generalization ability and the system adaptability of a fault diagnosis system are remarkably improved.

This invention relates to a modular sensing, communication, and analytics platform. The platform includes a modular device network having a communication module, a main module, and at least one modular device, where the communication module, the main module, and the at least one modular device use acoustic signals, visual signals, light signals, and / or radio frequency to establish a communication link between the communication module, the main module, and the at least one modular device.

The invention relates to the field of network communication, and discloses a multi-source heterogeneous network data cooperative transmission method based on dynamic multi-dimensional evaluation and intelligent disaster recovery, which comprises the following steps: collecting system network parameters of a 5G network and a long-distance wired network in real time through a software definition interface module; performing weighted evaluation on the acquired system network parameters based on a dynamic link selection engine, the evaluation dimensions including real-time bandwidth, transmission delay and current link traffic, and generating an optimal communication link combination scheme; carrying out fragmentation and protocol adaptation on the data by adopting a general packaging framework and an intelligent label technology; distributing multi-path parallel transmission according to a priority strategy; at a receiving end, data recombination and disaster recovery supplementary transmission are realized through network coding and multi-path cooperation; and the evaluation weight is dynamically optimized in combination with reinforcement learning. According to the invention, the problems of rigid link selection, low protocol conversion efficiency and insufficient disaster tolerance in the prior art are solved.

The invention relates to the field of chip testing, in particular to a chip signal integrity test analysis method, device and equipment and a storage medium. The method comprises the following steps: extracting a chip performance index based on a chip design requirement document; performing saturation frequency excitation setting based on the chip performance index to generate an excitation test signal; performing a multi-port signal excitation test and parallel signal sampling based on the excitation test signal to generate a high signal-to-noise ratio response data set; obtaining a chip layout design file; performing chip communication link analysis on the chip layout design file, and constructing communication line layout data; performing signal mapping and waveform quality evaluation on the communication line layout data based on the high signal-to-noise ratio response data set to obtain a node signal distortion rate; and performing signal integrity quantization and theoretical signal integrity score comparison based on the node signal distortion rate, and marking a fault node. According to the invention, the chip testing efficiency is improved, and the signal abnormal part of the chip is accurately and efficiently detected.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, at a first modem and from a first device, one or more data packets. Based on an explicit congestion notification (ECN) capable transport (ECT) codepoint indication in respective header portions of the data packets, the UE may route the data packets from the first modem to two or more queues associated with a second modem of the UE. Based on receiving buffer and link state information associated with the second modem, the UE may perform a congestion indication procedure that is associated with congestion of a communication link associated with the UE. The UE may thereafter transmit, to a second device, packet data from the two or more queues associated with the second modem of the UE based on a respective priority associated with the two or more queues.

The invention relates to the technical field of animal monitoring, and provides a wild animal epidemic disease monitoring, prevention and control method and system based on artificial intelligence, and the system collects the video stream, the shell temperature, the air pathogen concentration, the sound characteristics, the VOCs spectrogram and other data of wild animals in real time through arranging multi-mode sensor nodes. Real-time reasoning is carried out through a wildness degree AI model in the edge calculation unit, the health state and epidemic disease risk of animals are evaluated, a multi-source risk knowledge graph and a graph neural network are combined, an epidemic situation occurrence probability threshold value is dynamically adjusted by the system, and accurate prevention and control instructions such as risk area division, isolation early warning and material putting schemes are generated; after the epidemic disease risk is confirmed, the system sends early warning information to a prevention and control center through various communication links, and continuously optimizes a prevention and control strategy through reinforcement learning. According to the method, intelligence and precision of epidemic disease prevention and control of wild animals are achieved, complex ecological environment changes can be coped with in real time, and prevention and control efficiency and accuracy are remarkably improved.

The invention discloses a multi-mode communication switching method of a large unmanned aerial vehicle and a related device, and the method comprises the steps: setting an auxiliary communication link to be in a hot standby state after an airborne end of the large unmanned aerial vehicle is in communication connection with a ground end through a main communication link, and carrying out the real-time monitoring of a current communication link, and obtaining a real-time monitoring result; when the real-time monitoring result is that the current communication link is abnormal in communication, the airborne end switches communication connection from a main communication link to an auxiliary communication link in a hot backup state, and controls the main communication link to enter a diagnosis mode; and after the main communication link executes the diagnosis mode and returns to normal, controlling the main communication link to enter a hot standby state, and switching the communication connection from the auxiliary communication link to the main communication link. In the embodiment of the invention, the problems that a signal coverage blind area exists in a single link and the single link is susceptible to interference are solved, so that the real-time control requirement of a large unmanned aerial vehicle is met, and the reliability and the stability in a long-distance communication scene are improved.

The invention discloses a rapid communication and redundancy control method for an AGC substation of a distributed photovoltaic power station, and the method comprises the following steps: S1, receiving an automatic power generation control instruction from a power grid dispatching system in parallel and uploading real-time operation data of the photovoltaic power station through two independent communication links; according to the invention, the reliability and robustness of the system are fundamentally improved; by constructing a physical basis of parallel work of two paths of independent communication links and combining real-time state monitoring and a millisecond-level rapid switching mechanism, the method thoroughly changes the fragile situation that the whole substation is disconnected and the function is paralyzed due to a single communication channel or a power supply fault of a traditional system; when the main optical fiber link is interrupted due to construction damage or equipment failure, the system can automatically and seamlessly switch all communication services to the standby Ethernet or wireless link without depending on manual intervention, and it is ensured that the transmission path of the scheduling control instruction is always smooth.

The invention relates to the technical field of data security, in particular to a quantum cryptography migration resisting method and system for a power system, and the method comprises the steps: carrying out the quantum threat risk assessment of a communication link based on the layering and partitioning architecture features of the power system; obtaining attribute data of the encryption component, and performing parallel migration risk analysis on the encryption component in combination with a quantum threat risk assessment result to generate an anti-quantum migration risk matrix; carrying out compatibility evaluation on a traditional public key algorithm and an anti-quantum cryptography algorithm based on algorithm features, and constructing a double-track encryption migration strategy; dynamically adjusting a double-track weight ratio, and constructing a double-track encryption hierarchical migration strategy based on a control hierarchy to which a communication link belongs; and executing the double-track encryption layered migration strategy and monitoring the migration effect, and performing self-adaptive correction on the double-track encryption layered migration strategy based on the migration effect. According to the method, a quantum threat assessment and double-track encryption layered migration mechanism is constructed, so that safe and smooth migration of the power system under the threat of quantum computing is realized.

The invention discloses a power grid air-ground cooperative emergency control system and method based on unmanned aerial vehicle multi-agent reinforcement learning, and belongs to the technical field of power system emergency control and intelligent cooperation. Comprising the following steps: a central coordination unit obtains a voltage state and a load importance degree of a power grid node and a position, energy and a communication state of an unmanned aerial vehicle cluster in real time, an emergency priority node is identified based on voltage recovery deviation and communication link quality, dynamic clustering is carried out, and a comprehensive communication demand priority of each node cluster is calculated; according to the method, the strong coupling optimization problem of power grid voltage recovery and emergency communication guarantee in a disaster environment is solved, the power supply reliability, the communication connectivity and the emergency response efficiency of the system are improved, the energy utilization of the unmanned aerial vehicle is optimized at the same time, and the energy utilization rate of the unmanned aerial vehicle is improved. The method is suitable for rapid recovery and cooperative scheduling of key infrastructures in extreme scenes such as earthquakes and typhoons.

An example communication system includes a distributed unit of a fronthaul communication system architecture, wherein the distributed unit is in communication with a core network of the communication system, a radio unit of the fronthaul communication system architecture, wherein the radio unit is electrically coupled with at least one cellular antenna, and the radio unit is configured to transmit and receive wireless cellular signals, and a wireless communication link between the distributed unit and the radio unit. The wireless communication link includes a first system-on-chip (SoC) device electrically coupled with the radio unit, and a second SoC device electrically coupled with the distributed unit, wherein the first SoC device and the second SoC device are configured to wirelessly transmit communication signals between the radio unit and the distributed unit at a frequency of at least sixty Gigahertz.

The invention discloses a security guarding method and system based on a communication-guide-remote fusion technology, and the method achieves the self-adaptive selection and redundant transmission of communication links in a weak network, shielding and other environments through the construction of a multi-link communication system, an indoor and outdoor integrated high-precision positioning mechanism and a multi-mode intelligent sensing cooperation mechanism. Cross-scene continuous positioning is realized by combining multi-source information such as GNSS, inertial navigation, geomagnetism and remote sensing image backbone maps, and inertial navigation, video, sound and environment sensing data are fused to generate an abnormal behavior recognition result, so that the whole-process and whole-scene safety guarding capability for all personnel is formed, and the accuracy of abnormal behavior recognition is improved. The problems of easy communication interruption, easy positioning misalignment and unreliable abnormity identification in the prior art are effectively solved, and the method is suitable for a plurality of application scenes such as crowd safety guarding and the like.

The invention discloses an HPLC and HRF dual-mode communication method and system for an intelligent power grid, and the method comprises the steps: enabling a source communication node to transmit power grid service data through an HPLC and HRF dual channel, and forming a dual-mode data package; after receiving the data, the target communication node demodulates and recovers service data from the HPLC and HRF signals, synchronously measures and calculates the two paths of signals, and extracts real-time cable fingerprints reflecting power line medium characteristics and real-time space fingerprints reflecting space wireless characteristics; further, performing similarity comparison on the real-time dual-mode fingerprint and a pre-stored source node reference dual-mode fingerprint; and finally, judging the security state of the communication link and the validity of the data in a combined manner according to whether the comparison result meets a credible threshold value or not and by combining the integrity verification of the service data, and executing subsequent network operation accordingly. According to the invention, the physical layer fingerprints are invisibly extracted in normal service communication, so that real-time link authentication without special detection signals is realized, and man-in-the-middle attack and equipment counterfeit are effectively defended.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

The invention provides a mobile terminal self-adaptive reminding method and system in a severe cold environment. The method comprises the following steps: acquiring interference signal characteristics, severe cold environment characteristics and operation data; obtaining a communication strategy according to the severe cold environment characteristics and the interference signal characteristics; integrating the communication strategy and the operation limited type to configure a reminding strategy; the configuration communication module reconstructs a communication link; and according to a reminding module configured according to the reminding strategy, self-adaptive reminding is realized, and the linkage equipment is utilized to assist in judging whether the user receives message reminding or not. Through linkage design of the mobile terminal and the linkage equipment, fluctuation problems of signal attenuation, clutter interference and the like in a severe cold environment are continuously adapted, sensing obstruction of cold-proof equipment is effectively broken through, link interruption is avoided, key information transmission is guaranteed, and the service life of the cold-proof equipment is prolonged. The balance between the accuracy and reliability of the reminding function of the mobile terminal in the severe cold environment and the cruising ability of the equipment is realized, and the practical performance of the mobile terminal in the severe cold environment and the use experience of a user are remarkably improved.

The embodiment of the invention provides a congestion control method and device, an RDMA network card and electronic equipment, and is applied to the RDMA network card of a sending end, and the method comprises the steps: responding to the received WQE, and based on the current sending rate, sending a data packet to a receiving end through an RDMA communication link; transmission performance characterization information of the RDMA communication link in a time window is determined, the transmission performance characterization information comprises the minimum round-trip time and the maximum transmission bandwidth, and the time window is set based on the determined last minimum round-trip time; updating the current sending rate based on the transmission performance characterization information; and sending the data packet to the receiving end through the RDMA communication link based on the updated current sending rate. By applying the scheme provided by the embodiment of the invention, the packet loss rate during data transmission between equipment based on the RDMA technology can be reduced.

The invention relates to the technical field of encryption communication, in particular to an encryption method and system for an intelligent digital encryption radio station, and the method comprises the following steps: storing communication node information to an encryption database based on maritime communication environment signal characteristic parameters, extracting communication link quality indexes, recording multi-path interference, and screening a high-frequency band; and detecting the identity and authority change of a communication operator, and analyzing the communication use trend and frequency change to obtain a communication use trend analysis conclusion. Through dynamic monitoring of signal characteristics and self-adaptive optimization of a network structure, real-time reconstruction of a communication path and interference area avoidance are realized, stable transmission in a marine environment is guaranteed, frequency and power are dynamically adjusted in combination with link quality and interference analysis, the coverage rate and reliability are improved, and the method is suitable for large-scale popularization and application. Abnormal identification and risk early warning are realized through comprehensive judgment of communication behaviors and authority changes, the adaptability and protection capability of the system are enhanced, and the stability, security and resource utilization efficiency of a communication network are improved.

The invention discloses a fleet formation flight implementation method and device, equipment, a medium and a product, and belongs to the technical field of aeronautical communication. The method comprises the following steps: establishing an air-ground interconnection communication link to realize real-time data interaction between a ground control unit and a plurality of flying civil aircrafts and between the plurality of civil aircrafts; based on an air-ground interconnection communication link, an airborne ad hoc network with a leading aircraft as a core is constructed, and an information interaction network in the formation is formed. Acquiring formation flight environment data; determining a safe area of formation flight based on the formation flight environment data, and calculating the maximum number of aircrafts in the formation and the relative positions of the aircrafts in the formation; and issuing the maximum number, the relative position and the flight decision information to each airplane in the formation through the airborne ad hoc network so as to execute formation flight. According to the embodiment of the invention, the real-time performance and accuracy of communication between the fleet can be effectively improved, and the airspace operation efficiency and flight safety are improved through the formation flight of the fleet.

The invention discloses a cross-platform barrier-free communication method and system, and relates to the technical field of cross-platform communication, and the scheme comprises the steps: obtaining the electric quantity, load power, network bandwidth and delay data of energy storage equipment in real time, and generating a path load value through normalization and weighted fusion; predicting a future load through the LSTM model, and triggering early warning when the predicted load is insufficient and the delay exceeds a threshold; when the electric quantity is insufficient and in an early warning state, a protocol switching instruction and a dynamic scheduling table are automatically generated; a path quality evaluation matrix is established, a load pressure factor is calculated, an over-limit path is eliminated, and a scheduling table is updated based on an optimized path and issued to equipment. Through dynamic coupling of load prediction and path quality evaluation, real-time optimization and self-healing of a communication link are realized; and protocol switching and path reforming are automatically triggered during low-power and high-load early warning of the equipment, so that efficient and reliable barrier-free communication between the distributed energy storage equipment is realized.

The invention discloses an intelligent integrated automatic pollution discharge, spray and dust suppression system for a coal mine tunnel, and relates to the technical field of automation. The system comprises a double-channel sensing assembly, a central controller, a mine communication link and an integrated pollution discharge spraying terminal group, the central controller obtains a dust image and a ground height image at the same time in combination with the double-channel sensing assembly, generates a roadway working condition grid map, completes dust level marking and ground height marking, extracts a dust cluster and a transition zone on the basis, and loads a pollution discharge component list. Constructing a descending chain from the outer edge of the dust cluster, selecting a ridge chain backbone, finally generating a cooperative control instruction set, issuing the cooperative control instruction set to the integrated pollution discharge spraying terminal group, and carrying out snapshot acceptance check by using a dual-channel sensing assembly after execution. According to the invention, accurate dust control, smooth sewage discharge and high resource utilization rate can be ensured, and the stability and long-term effectiveness of system operation can be maintained in a complex environment.

The invention relates to the technical field of dual-mode network communication, in particular to a dual-mode communication method and device based on HPLC and HRF and terminal equipment, and the method comprises the steps: initializing an HPLC communication link and an HRF communication link; respectively carrying out signal quality monitoring on the initialized HPLC communication link and the initialized HRF communication link, and determining a target communication link according to a quality monitoring result; and based on the target transmission link, determining an optimal transmission strategy of the plurality of to-be-sent messages, and transmitting the plurality of to-be-sent messages according to the optimal transmission strategy. Therefore, by dynamically sensing the real-time channel quality of the power line carrier and the radio frequency and adaptively selecting the optimal link, and intelligently scheduling the message based on the service priority and the QoS demand, the problem that the existing dual-mode communication cannot give consideration to high reliability, low time delay and efficient utilization of resources in a complex power grid environment is solved.

The present application relates to the technical field of data storage, and specifically discloses a data transmission method and device, a heterogeneous system, and a coherent interconnect processing component. The coherent interconnect processing component installed on a device enables corresponding coherent interconnect interfaces on the basis of the number of other devices to be interconnected in a heterogeneous system where said device is located, initializes physical communication links to obtain memory interconnect parameters, establishes memory coherent interconnect communication links between the devices on the basis of the memory interconnect parameters, allocates corresponding cache spaces from said device, and on the basis of the memory coherent interconnect communication links and the cache spaces, performs cache coherent transaction processing of said device and the other devices, so as to implement memory coherent interconnect transmission requests between said device and the other devices. Therefore, topologies can be dynamically sensed, and memory coherent interconnect communication links between devices in a heterogeneous system can be automatically established, thereby mitigating the problem that different device interconnect protocols need to be managed in the heterogeneous system, achieving inter-device cache coherence, and further improving the access performance.

The invention discloses a bypass laser scanning path planning method for additive manufacturing, and relates to the technical field of additive manufacturing, a printing area and an initial position are determined, the whole printing path is divided into a straight line section and an arc section, an area assistant is distributed for each divided area, a communication link is established, and the communication link is connected with the straight line section and the arc section; the regional assistant is provided with an independent virtual computing resource space; self-adaptive segmentation is executed through each regional assistant, communication with adjacent regional assistants is carried out by using a communication link when local control is executed, and a segmentation state and a result are synchronized; generating a virtual adhesive to carry out smooth transition and error compensation on a splicing gap; and after splicing is completed, submitting the whole path after splicing to a printing control system to execute printing. According to the method, adaptive path planning, multi-region parallel path segmentation task processing and segmented region high-precision splicing according to the local features of the printing region are realized, and efficient and high-quality additive manufacturing printing is achieved.