2751results about "Multiplex system selection arrangements" patented technology

The invention discloses a distributed computing task non-perception migration method and system under optical fiber network interruption. The distributed computing task non-perception migration method comprises the following steps: constructing a distributed task migration system and an output system architecture; collecting network state indexes, constructing a network topological graph, and analyzing the state of an optical fiber link for fault prediction; obtaining a calculation task operation state, establishing a sub-task mapping relation, constructing a directed dependency graph, and generating a state snapshot; analyzing resource requirements, reserving standby resources, and deploying a distributed cache system; analyzing a fault influence range, extracting an influenced calculation sub-graph, and selecting a migration target node; in a target node preloading environment, reconstructing an execution context, and redirecting a communication path; and setting a data change capture mechanism, synchronizing incremental data and executing consistency verification. According to the method, non-perception migration of the computing tasks is realized, task continuity and data consistency are guaranteed, and the reliability of the distributed computing system in an optical fiber network fault scene is improved.

The invention provides a dynamic wavelength allocation method based on DCI wavelength division II type equipment. The method comprises the following steps: acquiring an occupation state and a transmission quality index of each wavelength channel of a current network; establishing a wavelength channel quality evaluation model, and scoring each wavelength channel according to the transmission quality index of each wavelength channel of the network; according to the bandwidth requirement, the priority and the QoS requirement of the service request, generating a traffic characteristic matrix containing the delay sensitivity and the bandwidth requirement through a traffic prediction algorithm; based on a network state and the traffic characteristic matrix, through resource availability calculation and path quality evaluation, forming an allocable wavelength resource pool and a quality score thereof; for the allocatable wavelength resource pool, generating an optimal wavelength allocation scheme by adopting an improved heuristic algorithm and comprehensively considering the resource utilization rate, the signal quality and the service priority; and according to the performance feedback of the optimal wavelength allocation result and the network state change, continuous optimization of wavelength allocation is realized through a self-adaptive adjustment mechanism. The method can effectively deal with the dynamic flow change in the DCI network, improve the resource utilization rate, ensure the signal quality and meet the QoS requirement of the service, thereby providing an efficient and reliable wavelength allocation solution for the data center interconnection network.

The invention relates to the technical field of passive optical networks, in particular to an all-optical Internet of Things access terminal based on a PON network, the terminal carries a control system, and the system comprises a hardware interface dynamic adaptation module, a protocol feature recognition module, an optical wavelength offset control module, an optical transmission bandwidth distribution module and an optical signal compensation module. According to the invention, through dynamic linkage of physical layer parameters of the optical network and the serial interface, signal attenuation of the protocol conversion equipment is eliminated, the access compatibility of the industrial terminal is improved, a control instruction and a conventional data stream are accurately distinguished based on a multi-dimensional protocol feature analysis mechanism, and the risk of misjudgment is reduced; a silent time slot dynamic mapping mechanism realizes fast reconstruction of burst traffic bandwidth, breaks through the bottleneck of traditional bandwidth allocation response, suppresses multi-wavelength channel interference through cooperative adjustment of optical power and phase, maintains low-delay and high-reliability transmission characteristics, and optimizes the whole process to form a closed-loop control link from a physical layer to a transmission layer. And the real-time control requirement of the industrial internet of things is met.

The invention relates to an optical data network (10-1) for connecting a plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). The optical data network (10-1) comprises: i) the plurality of data network nodes (N1-1, N2-1, N3-1, N4-1), the data (99) comprising data packets (99p), wherein each data network node (N1-1, N2-1, N3-1, N4-1) is provided with a network interface (Nl); and ii) a data connection network (100-1) comprising at least one data switch (SW) and a plurality of optical connections (50) for allowing establishment of data links (DL1, DL2) between pairs of said plurality of data network nodes (N1-1, N2-1, N3-1, N4-1). At least one of the at least one data switch (SW) is a smart data switch (SSW) comprising at least one packet switch (PS, EPS) and at least one circuit switch (CS, OCS), At least two network interfaces are smart network interfaces (SN, SNC) comprising a data classifier (25) configured for classifying the data packets (99p) into at least two traffic classes including first traffic class (D1) and a second traffic class (D2) in accordance with a classification scheme. The smart data switch (SSW) and the network interfaces (SN, SNC) are configured to route the data packets (99p) of the first traffic class (D1) to the packet switch (PS, EPS) and to route the data packets (99p) of the second traffic class (D2) to the circuit switch (CS, OCS).

The invention discloses a communication method between graphics processors, a product, equipment and a medium, relates to the technical field of high-performance calculation and artificial intelligence acceleration, and is applied to a stand-alone system comprising a plurality of graphics processors and a central photoelectric hybrid switching chip constructed based on interconnection of an electric switching matrix and an optical switching matrix. The graphics processor is connected with the central photoelectric hybrid switching chip through an optical link and an electric link; the method comprises the following steps: performing data classification on to-be-transmitted data of a source graphics processor; if the to-be-transmitted data is a control flow, the source graphics processor is controlled to send the to-be-transmitted data to an electric switching matrix through an electric link, and then the to-be-transmitted data is routed to a target graphics processor in the graphics processors; and if the to-be-transmitted data is a data stream, the source graphics processor is controlled to send the to-be-transmitted data to the optical switching matrix through the optical link, and then the to-be-transmitted data is routed to the target graphics processor. Interconnection between graphics processors is optimized to improve communication efficiency between graphics processors.

The invention discloses a PON-based multi-protocol communication method and device, and the method comprises the steps: distributing a corresponding internal scheduling time slot to each network protocol processing unit for data uploading to each network protocol processing unit when a data processing module detects that the network protocol processing units connected with each field bus device have to-be-uploaded service data; and when one internal scheduling time slot is used up, interrupting the uploading of the service data until the next internal scheduling time slot allocated to the internal scheduling time slot is recovered from interrupting the uploading of the data. And the PON module monitors a global scheduling time slot allocation instruction issued by the optical line terminal in real time, converts an uploaded data frame into an electric signal, transmits the electric signal to the optical module through an internal link, converts the electric signal into an optical signal through the optical module in an allocated global scheduling time slot, and uploads the optical signal to the optical line terminal through an optical distribution network. Real-time performance and orderliness of transmission of service data in multiple field bus devices in a PON network are achieved, the requirement of industrial communication for data transmission is met, and transmission resource distribution is optimized.

A device includes a photonic routing structure including a silicon waveguide, photonic devices, and a grating coupler, wherein the silicon waveguide is optically coupled to the photonic devices and to the grating coupler; an interconnect structure on the photonic routing structure, wherein the grating coupler is configured to optically couple to an external optical fiber disposed over the interconnect structure; and computing sites on the interconnect structure, wherein each computing site includes an electronic die bonded to the interconnect structure, wherein each electronic die of the computing sites is electrically connected to a corresponding photonic device of the photonic devices.

The invention relates to a resource allocation method and system for dynamic load balancing of a data center elastic optical network, and belongs to the technical field of communication. Comprising the following steps: initializing data center elastic optical network parameters, and generating a connection request; judging whether the residual computing power resources of the source node and the destination node meet the request requirement or not, if so, calculating K working paths, selecting the shortest path, calculating the number of required spectrum slots, and judging whether the paths have residual spectrum resources or not; if yes, layered traffic grooming evaluation parameters are calculated, and the optimal spectrum layer is selected for grooming traffic; if not, selecting the highest-price modulation format; judging whether bandwidth and optical channel resources on the path are enough, if so, allocating spectrum resources, otherwise, returning to select the next shortest path; judging whether the spectrum resources meet constraint conditions or not, if yes, allocating computing power resources, and requesting successfully; if not, returning to reselect the path; and after success, updating the network transmission path weight. According to the invention, the network resource waste and blocking rate are effectively reduced, and the optical network energy consumption is reduced.

The invention relates to the technical field of communication optical cable operation state monitoring, in particular to a communication optical cable operation state monitoring operation and maintenance system and method. The method comprises the following steps: distinguishing operation environments of a buried optical cable and a sea surface optical cable by acquiring communication optical cable data and operation surrounding environment data, detecting a real-time operation state of the communication optical cable, and determining a physical disturbance response state of the communication optical cable based on the environment data of the buried optical cable; based on sea surface optical cable environment data, detecting a structure dynamic degradation condition, and evaluating a communication optical cable structure coupling damage degree; in combination with the structure coupling damage degree, the optical cable internal passage degradation condition and the optical path offset degree are determined, and then the link signal strength reduction condition is monitored; optical cable operation performance attenuation is estimated through signal intensity change, accurate positioning of an optical cable abnormal state is realized, and related abnormal data is uploaded to the cloud platform; through operation monitoring of the communication optical cable, operation of the communication optical cable is more stable.

Disclosed are systems and methods associated with an improved optical switch. An optical switch may include light sources configured to produce a set of control beams co-aligned with a communication beam and that interact with each of a set of MEMS mirrors. Each of the set of control beams are passed through a respective screen so as to generate an image corresponding to a layout of an associated MEMS mirror that can then be analyzed to affect an operation of the optical switch, such as by managing an orientation and / or position of each MEMS mirror. In some aspects, the one or more hardware processors may utilize Al techniques to reduce processing time and learn behavior of the optical switch. In some aspects, the system may utilize the information to generate alerts and / or information relating to the end of life or other operational parameters of the optical switch.

The invention provides a network topology configuration method, a communication system and related equipment, and the method comprises the steps: enabling a network controller to analyze a training task before an AI model starts distributed training, determining the traffic demand information of the training task, and transmitting the traffic demand information to the AI model; the traffic demand information comprises bandwidth demand quantity among different processors in a training process of an AI training task, network topology information of the photoelectric hybrid networking can be determined based on the traffic demand information, and then configuration information of the optical switching equipment is generated based on the network topology information. According to the invention, the configuration information of the optical switching equipment is acquired, so that the optical switching equipment can perform link switching based on the configuration information to complete topology reconstruction of photoelectric hybrid networking, the network controller can actively perform flow planning before AI model training, and the problem of long network delay caused by slow link switching speed of the optical switching equipment in the training process can be avoided.

The invention discloses an OEO amplifier with a high-speed hard switching function and an optical transmission system, and relates to the technical field of optical amplifiers, the OEO amplifier comprises three magneto-optical switches, an optical splitter group, a photoelectric detector group, a real-time comparison circuit, a logic gate control circuit and a driving circuit; the photoelectric detector group collects optical signal power to generate an electric signal; the real-time comparison circuit performs voltage threshold judgment on the electric signal; the logic gate control circuit is connected with the output end of the real-time comparison circuit so as to synchronously control the switching states of the three magneto-optical switches according to a voltage threshold judgment result; the driving circuit is used for driving the magneto-optical switch to synchronously execute a switching action; when the OEO amplifier detects that optical signals in any direction are interrupted, all the magneto-optical switches finish synchronous switching within 100 microseconds, and the end-to-end optical signal switching time difference is smaller than 2 picoseconds. The method is suitable for a single-fiber bidirectional optical communication environment requiring high frequency, high precision and high stability.

The invention discloses an optical network dynamic resource allocation method fused with an AI large model, which relates to the technical field of real-time scheduling of network resources, and comprises the following steps: constructing a service prediction model based on terminal behavior characteristics, calculating bandwidth sensitivity Bs and burst probability Pt, generating priority weight Wp, and improving burst service scheduling response; the T-CONT allocation rate and period are adjusted in a self-adaptive mode through a resource allocation efficiency function Ef and a buffer area demand index Bh, and priority scheduling of key services is guaranteed; the scheduling pressure is judged by introducing double thresholds of a signaling overhead index So and a network congestion degree Oc, AI reestimation and resource reallocation are triggered when abnormity occurs, and meanwhile, a bandwidth recovery parameter Br is recorded to optimize a subsequent strategy, so that minute-level intelligent scheduling and resource utilization maximization are realized.

The invention discloses an ONU gateway connection switching method, device and equipment of a PON network and a medium, the method is suitable for terminal equipment, and the method comprises the following steps: acquiring signal quality of a plurality of ONU gateways in a communication range, and determining a second ONU gateway of which the signal quality is superior to that of a currently connected first ONU gateway from the signal quality; establishing a second connection with the second ONU gateway, and keeping a first connection with the first ONU gateway; transmitting traffic data corresponding to the terminal device through the first connection and the second connection; and when the traffic data transmitted by the second connection meets the target traffic data distribution condition, disconnecting the first connection. According to the method, non-inductive switching is achieved through double-connection parallel transmission of flow data, service interruption in the switching process is effectively avoided, network continuity and user experience are improved, and the method can be applied to fiber to room (FTTR), enterprise-level fiber to room (FTTR-B) and broadband fusion terminal products.

The invention relates to the technical field of optical line terminal configuration, in particular to a method and system for automatically configuring optical line terminals of different manufacturers based on artificial intelligence. The method comprises the steps of collecting multi-source heterogeneous data to train a deep learning model, constructing a Transform or RNN-based architecture of a TensorFlow framework, performing cross validation and model compression, then performing optimization through a TensorRT inference engine, developing an intelligent configuration application system, deploying the intelligent configuration application system to a control host, and providing algorithm support for automatic configuration. By constructing an automatic configuration system based on artificial intelligence, the problems of heterogeneous compatibility and intelligent configuration of OLT equipment of multiple manufacturers are systematically solved. In a configuration optimization link, a virtual simulation environment is constructed based on a real network topology, a configuration effect is evaluated through multi-dimensional indexes such as throughput and time delay, potential conflicts are detected in combination with an AI algorithm, an optimization scheme is generated, and the configuration error rate of manual operation is reduced.

The invention provides a fault positioning method and device, electronic equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the sampling of optical power data based on a preset sampling frequency, and determining optical power sequence data, the optical power sequence data comprises the identification of a PON port, the equipment identification of a user, and an optical power parameter, each PON port corresponds to a plurality of optical power sequence data; based on the optical power sequence data, determining a similarity value between any two users through unsupervised clustering and time sequence alignment in sequence; and correlation analysis is carried out on the similarity value between any two users, fault information is determined, and the fault information comprises a fault position, a fault equipment identifier and an identifier of a fault PON port. According to the method, through clustering and time sequence alignment, similar value calculation of optical power sequences and accurate delimitation of faults are realized, and the accuracy of fault positioning is improved; and the fault analysis and positioning efficiency is improved. Furthermore, the network stability and the user experience are guaranteed.

The invention discloses an underwater navigation positioning method and system based on supercontinuum laser intensity correlation. The system comprises a master control system, a transmitting end underwater base station and a receiving end underwater carrier. The method comprises the following steps: firstly, a main control system generates a super-continuum laser signal with pseudo-random code information, the super-continuum laser signal is separated into optical signals of different wavelength channels through a light splitting module, and the optical signals are respectively sent to underwater base stations uniquely corresponding to the wavelength channels and are emitted; then the underwater carrier receives optical signals from a plurality of base stations, identifies a signal source base station according to wavelength identification, performs correlation operation with a locally copied pseudo-random code sequence, determines signal arrival time TOA and calculates a pseudo-range; and finally, resolving the three-dimensional coordinate and local clock error result of the underwater carrier by combining the pseudo-ranges, absolute positions and transmission delays of the underwater carrier and the at least four base stations. According to the invention, high-precision and high-robustness absolute positioning of the underwater environment is realized, and the reliability of long-time positioning and navigation of the underwater robot is enhanced.

The invention provides an all-optical switching system and method based on AWGR and WSS, and relates to the technical field of optical communication, the system comprises a three-stage Clos network structure, the input stage is composed of N N * N WSS modules and used for receiving external optical signals, and the WSS represents a wavelength selection switch; the middle stage is composed of AWGR modules and WSS modules which are deployed in a mixed mode, the number proportion of the AWGR modules is adjustable so as to achieve balance of cost and performance, and AWGR represents an array waveguide grating router; the output stage is composed of N N * N WSS modules; the output port of the input stage WSS module is connected with the input port of the intermediate stage AWGR / WSS module, and the output port of the intermediate stage AWGR / WSS module is connected with the input port of the output stage WSS module. While the optical path blocking performance is ensured, the system cost and insertion loss are reduced, wavelength conflicts are reduced, and the balance between the cost and the performance is realized.

The present application relates to the technical field of network management and relates to an all-optical networking device control method, system and apparatus, and a communication device, a storage medium and a computer program product. The method comprises: in response to determining, on the basis of a first release message of a target device and a second release message of a master device, that the target device satisfies a preset legitimacy condition, determining location information of the target device in the network hierarchy of all-optical networking, wherein the first release message is acquired on the basis of a sub-level interface in a communication bus, and the second release message is acquired on the basis of a master-level interface in the communication bus; and on the basis of the communication bus and the location information of the target device in the network hierarchy of all-optical networking, sending a target control policy to the target device.

The invention discloses a pre-configuration protection method based on risk identification, and the method comprises the steps: collecting multi-dimensional data of a target electric power optical communication network, including logic topology information, a service demand set and dynamic environment data; logic links in the target power optical communication network are identified and divided into different shared risk groups, and a comprehensive risk index of each shared risk group is calculated; adding the shared risk groups of which the comprehensive risk indexes are greater than a preset risk index threshold value into a to-be-protected queue, and generating an optimal standby network loop for each shared risk group in the queue to obtain a network protection ring of the to-be-protected queue; when a to-be-processed service request is received, selecting a target protection path for the to-be-processed service request from the network protection ring, so that the to-be-processed service request is switched to the target protection path when a fault occurs; according to the invention, the network can be rapidly switched when a fault occurs, and the reliability and recovery speed of the power optical communication network are improved.

The invention discloses a railway optical transmission equipment health prediction method, system and device, and relates to the technical field of railway communication, and the method comprises the steps: collecting multi-source heterogeneous time sequence data which can reflect the state of railway optical transmission equipment to be detected, carrying out the normalization, and generating a normalized feature vector; dynamically learning the weight of each modal feature in the normalized feature vector by adopting a multi-head self-attention mechanism, and fusing to generate a unified feature representation containing context information; inputting the unified feature representation into a time convolution network into which an expansion factor is introduced to carry out deep separable convolution operation so as to capture a long-term dependency relationship of equipment state evolution and output time sequence features; based on the time sequence characteristics, predicting the health degree of the railway optical transmission equipment to be detected; according to the method, the combined prediction of the health degree and the residual life of the equipment is realized by capturing the long-term dependency relationship among the multi-modal data.

The embodiment of the invention relates to a mode switching module and a mode switching control method. The module comprises a media access control (MAC) module and a mode switching module, the MAC module is connected with the mode switching module; the output end of the mode switching module is connected with external equipment, and the input end is connected with the output end of the first power supply; wherein the mode switching module comprises a first optical fiber unit, a second optical fiber unit, a four-way optical unit and a micro-control MCU unit; a four-way optical unit in the mode switching module is used for analyzing whether received optical information is received by a first optical fiber unit or a second optical fiber unit, then the working mode of the module is determined, then an optical signal is fed back to the MAC module through the MCU unit, and switching operation is executed through software, hardware or a self-adaptive mode; therefore, a switching strategy of different modes can be realized, and the technical effects of saving cost, reducing manual operation, reducing switching complexity and meeting diversified requirements of users are achieved.

The embodiment of the invention relates to a mode switching module and a mode switching control method. The module comprises a media access control (MAC) module and a mode switching module, the MAC module is connected with the mode switching module; the output end of the mode switching module is connected with external equipment, and the input end is connected with the output end of the first power supply; wherein the mode switching module comprises a first optical fiber unit, a second optical fiber unit, a four-way optical unit and a micro-control MCU unit; a four-way optical unit in the mode switching module is used for analyzing whether received optical information is received by a first optical fiber unit or a second optical fiber unit, then the working mode of the module is determined, then an optical signal is fed back to the MAC module through the MCU unit, and switching operation is executed through software, hardware or a self-adaptive mode; therefore, a switching strategy of different modes can be realized, and the technical effects of saving cost, reducing manual operation, reducing switching complexity and meeting diversified requirements of users are achieved.

The invention discloses an optical burst link conflict control method and system based on priority scheduling, and relates to the technical field of optical communication network control, a burst joint scheduling and conflict cost evaluation mechanism based on priority weight is introduced into an OBS core node, and the method comprises the following steps: sorting control packets in a sliding time window, predicting an occupied time interval in combination with the offset time and the burst length; constructing a candidate gap set by using a lightweight data structure for recording each wavelength free interval; and calculating the conflict cost of each candidate wavelength according to the priority weight, the time overlapping relationship and the gap change after insertion, selecting the wavelength with the minimum cost, and updating the idle interval information in real time. Therefore, priority guarantee of high-priority services and refined allocation of wavelength resources are realized, so that burst conflicts and the discard rate are reduced in a high-load scene, and the throughput and the stability of an OBS network are improved.

The invention relates to a satellite-borne laser communication system, the system comprises a comprehensive management unit and N laser terminals, the comprehensive management unit is used for electronic modulation and demodulation and data processing, and the comprehensive management unit comprises an optical transceiver module, a digital baseband module and a data routing module; the N laser terminals are used for transmitting and receiving optical signals, and each laser terminal comprises an optical antenna module and a light amplification module; the number of the integrated management units and the number of the laser terminals are sum, wherein N is a natural number greater than 1. The invention provides a '1 + N' function and interface division method and provides a satellite-borne laser communication system which is completed by matching one comprehensive management unit and N miniaturized laser terminals through the idea of'merging similar items + integrated management and control 'and'photoelectric separation', so that each laser terminal does not independently have a photoelectric integrated laser communication function any more, and the communication efficiency of the satellite-borne laser communication system is improved. The laser terminal is responsible for transmitting and receiving optical signals, and the comprehensive management unit is responsible for electronic modulation and demodulation and data processing.

Systems and techniques for forward error correction decoding process power reduction are described herein. A first codeword is identified in a network transmission. A conditional decoding window starting with the first codeword is generated. The conditional decoding window is aligned with frames of the network transmission. A report is generated that includes an indication of a correlation of the conditional decoding window to the network device. The conditional decoding window and the report are sent to the network device. A conditional decoding window including a first codeword is received. The first codeword is decoded to determine a second codeword. A report is obtained that includes a codeword correlation bit for the second codeword. Upon determining that the codeword correlation bit indicates that the second codeword is not correlated, the second codeword is discarded without decoding the second codeword.

The invention relates to a wavelength selection block (WSB-2) for a multi-port optical distribution block (PDB-2). The wavelength selection block (WSB-2) comprises: i) an optical input (INP) for receiving an optical fibre (1) carrying a multi-wavelength optical signal (λA) comprising a first number (K) of individual wavelength optical signals (λ1..λK); and ii) a second number (Y) of optical outputs (OUTP-1..OUTP-Y). The wavelength selection block (WSB-2) comprises four consecutive stages (S1..S4). In a first stage the multi-wavelength optical signal (λA) is split into consecutive individual wavelength optical signals (λ1..λK). In a second stage (S2) each individual wavelength optical signal (λ1..λK) is split into a respective group (GR-1..GR-K) of copies of the respective individual wave-length optical signal (λ1..λK), the number of copies equalling the multiplication factor (Y). In a third stage (S3) each copy of each consecutive group (GR-1..GR-K) of copies is individually gated for selectively passing or blocking the respective individual wavelength optical signal (λ1..λK) so as to obtain a respective gated individual wavelength optical signal (λ1g..λKg). In a fourth stage (S4) each consecutive gated individual wavelength optical signal (λ1g..λg) from each consecutive group (GR-1..GR-K) is combined so as to obtain a respective gated multi-wavelength optical signal (λAg), wherein each respective gated multi-wave-length optical signal (λAg) is coupled with a respective optical output (OUTP-1..OUTP-Y). The invention also relates to an optical distribution block (PDB-2) comprising a further number (N) of such wavelength selection blocks (WSB-2).

The invention discloses a dynamic anomaly detection method and system oriented to high-polymer dual-fiber link integrity, and particularly relates to the field of anomaly detection and node safety control in a computer communication network, and the method comprises the steps: constructing a behavior mapping model between input logic and output logic for each communication node in a dual-fiber link topological structure, the behavior mapping model is used for describing an expected response path and output characteristics of the node under specific data input; and executing an input logic injection operation on the target node, loading the constructed standardized test input to the target node, and collecting an output result actually generated by the node within a preset specified response time to form a current response sample of the node. By constructing a node behavior mapping model and combining path-level reverse semantic reasoning and response consistency comparison, potential abnormal nodes outputting semantic offset are dynamically recognized, so that the problems of link semantic drift and node safety failure caused by the fact that node response is not reported to be wrong but is distorted are solved.

The invention relates to a network resource flexible scheduling method, system and device and a medium. The method is applied to a backbone transmission network and data network intelligent management and control system. The method comprises the following steps: disassembling network resources into a plurality of atomic power units in a virtualization layer, marking dynamic attribute tags for the atomic power units to obtain an atomic power library, and generating a trigger event when a real-time performance index exceeds a preset threshold value; according to the trigger event, the atomic power library and the alarm knowledge graph, carrying out combination optimization on the atomic power units to generate a resource combination scheme, and calling a three-dimensional topology model to carry out pre-verification on the resource combination scheme; and according to the execution scheme, carrying out capacity expansion and shrinkage operation on the atomic power unit through the virtualization layer, adjusting a load balancing weight based on real-time flow distribution, and generating a resource allocation result. According to the method, dynamic cooperative scheduling of network resources is realized, and the service quality and the operation efficiency of a backbone transmission network and a data network are improved.

The invention provides an optical fiber access network security protection detection method and system based on AI abnormal mode recognition, and relates to the technical field of security, and the method comprises the steps: firstly obtaining the operation characteristics of an optical fiber access network and a preset abnormal mode library, and analyzing the association condition through an AI abnormal mode recognition model to generate an abnormal mode mapping relation; carrying out abnormal mode matching processing based on the mapping relation to obtain a matching result containing the matching point, the difference point and the matching degree; according to a matching result and a security risk level corresponding rule, determining a current security risk type in combination with a historical risk processing record; generating a security protection instruction in combination with the security risk type and a preset protection strategy library; matching parameters in the abnormal mode mapping relation are dynamically adjusted according to the instruction execution effect and fed back to a matching processing link, and efficient and intelligent protection detection on the safety of the optical fiber access network is achieved.