245 results about "Network termination" patented technology

Techniques for powering a multi-unit optical network terminal (MU-ONT) located outside of a multi-unit building include obtaining reverse power from Power-over-Ethernet (PoE) lines connecting the MU-ONT to terminal units (TUs) or customer premises equipments (CPEs) disposed inside the building. Reverse power may be injected into the PoE lines at the TUs, for example. Via an MU-ONT reverse powering device, the reverse power may be separated from services data provided via the PoE lines, and the services data may be delivered between the TUs and a Passive Optical Network (PON) via the MU-ONT. The reverse power obtained from the PoE lines may be aggregated to provide the MU-ONT with power commensurate with its power load. In some embodiments, the MU-ONT power load may be shared or distributed across PoE lines in a passive or actively controlled manner based on variations in the MU-ONT load and / or respective characteristics of the PoE lines.

The invention discloses a computer wireless network operation supervision system and method, and relates to the technical field of network security, and the method comprises the steps: collecting network state data; constructing a QUBO model, and solving and generating a network spectrum allocation strategy matrix through a quantum annealing machine; analyzing the network spectrum allocation strategy matrix, generating a network base station radio frequency parameter instruction set and a network terminal access strategy table, and adjusting a network flow table rule through an SDN controller; comparing the expected configuration network parameters with the new network state data, and positioning the root cause of the network abnormal condition; and redundant links in the network are screened out, an ant colony optimization algorithm is adopted to optimize a topological structure, a spectrum allocation strategy matrix is updated, fault nodes are isolated, and topological connection is reconstructed. According to the method, computer wireless network operation supervision is improved through the quantum annealing machine, and in the aspect of spectrum resource allocation, the quantum annealing machine solves by constructing a QUBO model, so that optimization of frequency allocation and transmitting power is realized.

The invention provides a collaborative wakeup method and device, equipment and a storage medium, and belongs to the technical field of communication. The collaborative wake-up method comprises the steps that the terminal equipment is connected to a collaborative wake-up network; a terminal device sends a collaborative wake-up request message to a network device in a collaborative wake-up network, wherein the collaborative wake-up request message is used for requesting collaborative wake-up with other devices in the collaborative wake-up network; the terminal device receives a collaborative wake-up request response message sent by the network device, wherein the collaborative wake-up request response message carries a unified wake-up word; the terminal equipment generates voice prompt information based on the unified wake-up word and plays the voice prompt information, and the voice prompt information is used for prompting a user to wake up the terminal equipment through the unified wake-up word; and under the condition that the terminal equipment receives the wake-up instruction sent by the network equipment, executing a pickup operation. According to the method, the terminal equipment of different brands can be awakened through the unified awakening word, and the voice awakening interaction experience of the user is improved.

The invention discloses a power management system in an embedded network terminal and a control method thereof, and relates to the technical field of micro-grids. The system is deployed in a building micro-grid and can communicate with a micro-grid central control unit, an adjacent terminal or an edge server. The processing unit receives the day-ahead moving trajectory as a rolling optimization initial solution, identifies building thermal model parameters based on local observation data and carries out linearization to obtain a local optimization model; local short-term prediction and edge server correction information are fused, an optimization sub-problem is constructed, distributed solution is carried out through an alternating direction multiplier method, and continuous variable candidate solutions are obtained in a calculation quota; aiming at a binary switch decision query strategy mapping table, when solving is not converged, adopting the table to output or finite depth search results; and when the communication is interrupted or the solving is failed, executing the rollback control to guarantee the indoor comfort and the energy storage safety. The method is used for improving scheduling real-time performance and communication efficiency under the condition of limited calculation and bandwidth, so that indoor comfort and energy storage safety are guaranteed.

The invention discloses a train on-board network attack real-time identification and dynamic defense method and device, and relates to the field of network security, and the method comprises the steps: obtaining the current network feature data of network terminal equipment of a train in real time, and determining whether the train is attacked or not based on the current network feature data. And based on the determined attack source and attack type, using a pre-trained defense model to generate a plurality of dynamic defense strategies, and selecting the defense strategy with the highest evaluation score to perform attack defense on the network of the train. And analyzing defense strategy sets applicable to different attack types and network states. And the multiple defense strategies are scored, and finally the dynamic defense strategy with the higher score is selected as a final means, so that the dynamic processing capability of each network terminal device of the network of the train on different types of network attacks is improved. The accuracy of attacked detection and the effectiveness of defense are improved, and the running safety of the train is improved.

The invention relates to a terminal protection and baseline inspection method and device based on a complex asset network, and the method comprises the steps: constructing a multi-dimensional holographic network topological graph, and determining the position association of a terminal; the method comprises the steps of semantic analysis of data, risk feature mining and database establishment, generation of an intelligent protection strategy according to a terminal role, a data sensitive level and risk assessment, generation of a dynamically adjustable baseline template by summarizing data, real-time monitoring of a terminal during operation, intelligent check by comparing the template and the strategy, rapid early warning of abnormity, and finally feedback of monitoring data. And optimizing a risk library, a strategy and a template. According to the scheme, the risk can be accurately identified, efficient protection and inspection are realized, and the security of the complex asset network terminal is improved.

The invention relates to a control method and system applied to precise landing of an unmanned aerial vehicle and a medium, and the method comprises the steps: Q1, in the process that the unmanned aerial vehicle executes an operation task, obtaining the positioning data information of the unmanned aerial vehicle in real time based on an airborne GNSS, obtaining the image data information of a landing target point in real time based on an airborne down-looking camera, and obtaining the image data information of the landing target point; acquiring data information of the position of the landing target point in real time based on a UWB positioning device; and Q2, based on the data information of the position of the landing target point, the image data information of the landing target point and the positioning data information of the unmanned aerial vehicle, adopting a CGO-Transform-GRU multi-modal fusion prediction algorithm to predict the pose of the unmanned aerial vehicle in the landing process, and obtaining the predicted data information of the pose of the unmanned aerial vehicle in the landing process. According to the invention, the continuity and real-time performance of the positioning data of the unmanned aerial vehicle are ensured, the positioning drift or air crash risk caused by the network terminal is avoided, and the landing accuracy of the unmanned aerial vehicle is improved.

The invention discloses an identification model training method, an identification method, a device, equipment, a storage medium and a product for a wireless network terminal, and the method comprises the steps: constructing sample set data which at least comprises a wireless protocol frame transmitted in a wireless network; performing feature extraction on the sample set data to obtain a feature data set of each wireless network terminal in the wireless network; performing feature selection on the feature data set of each wireless network terminal to obtain a target feature set of each wireless network terminal; and training a wireless network terminal identification model based on the target feature set of each wireless network terminal to obtain a trained wireless network terminal identification model. According to the embodiment of the invention, the wireless network terminal identification model obtained through training based on the wireless protocol frame sent by the STA can accurately identify the type of the STA, the feature extraction is not affected by the format and content of the message, the wireless protocol frame is not forged and tampered, and the accuracy and processing efficiency of wireless network terminal type identification are improved.

The invention discloses a data processing method and device based on an address resolution message, a computer readable medium, electronic equipment and a computer program product. A specific embodiment of the method comprises the following steps: according to a destination network address of an address resolution message received by a first gateway device, determining whether a link aggregation group where the first gateway device is located comprises a second gateway device which needs to receive the address resolution message, the link aggregation group comprises a plurality of gateway devices which are connected with the same network terminal device; in response to the determination, according to parameter configuration data of a second gateway device in a gateway mutual assistance protocol, the address resolution message is packaged to obtain a first packaging message, and the gateway mutual assistance protocol comprises respective parameter configuration data of a plurality of gateway devices in the link aggregation group; and the first packaging message is sent to the second gateway equipment, so that the second gateway equipment updates state data of a first interface according to the first packaging message, and the first interface is an interface for sending the address resolution message on the network terminal equipment. According to the invention, by modifying the communication mechanism of the gateway device, on the basis of ensuring the state data synchronization, extra performance overhead and bandwidth loss brought to the network terminal device are avoided.

Optical add-drop multiplexers (OADMs) connect two or more network terminals in an optical network to perform wavelength division multiplexing. If a channel in an optical connection between an OADM and a terminal is interrupted for any reason such that the signal in the channel drops, transient effects such as spectral hole burning may occur which impacts neighboring channels. One approach to avoiding such transient effects in channel drop scenarios includes filling in the spectral hole so that neighboring channels are transmitted without any degradation. An OADM includes a broad spectral source, such as an amplified spontaneous emission (ASE) source, and an optical switch that replaces dropped channels with ASE. By providing an automatic mechanism for spectrum filling within the OADM itself in this way, high-capacity optical transmission networks are stable against transient effects even in the presence of channel drops or fiber cuts.

The invention provides a communication method, which comprises the following steps that: terminal equipment emergently registers to a first network, the terminal equipment reselects to a second network from the first network, and the terminal equipment sends a request message for requesting to emergently register to the second network to a mobility management network element of the second network under the condition of executing an emergency service, and the second network enters an emergency registration state after receiving the request message for requesting emergency registration. Under the condition that the terminal equipment does not execute the emergency service, the terminal equipment sends a request message for requesting initial registration to the second network to a mobility management network element of the second network, and the second network enters a non-emergency registration state after receiving the request message for requesting initial registration so as to realize registration state synchronization of the second network and the terminal equipment.

The invention provides an edge computing task unloading method based on deep reinforcement learning, and relates to the technical field of edge computing, and the method comprises the steps: firstly calculating the task unloading cost of user equipment under different unloading decisions, and constructing a cost optimization objective function; a calculation unloading sub-task pre-sorting model is introduced to construct a pre-sorting deep reinforcement learning task unloading model, the execution sequence of edge calculation tasks is optimized, the convergence speed of the deep reinforcement learning task unloading model is improved, and the decision time is shortened; a pre-sequencing deep reinforcement learning task unloading model is trained by taking minimization of the total cost of edge network terminal users as a target, and the trained pre-sequencing deep reinforcement learning task unloading model is utilized to output an unloading decision to perform task unloading, so that the time delay and energy consumption of a calculation task are reduced.

The invention relates to the field of data security, in particular to a multi-source data fusion sensitive data leakage monitoring method and system based on machine learning, and the method comprises the steps: collecting network, terminal, application and data access four types of heterogeneous data; the collected data are preprocessed; sensitive data features are extracted based on a text semantic model, and sensitive levels are labeled by using a classifier; carrying out adaptive weighted fusion by adopting an attention mechanism to obtain fusion features; inputting the fusion features into an anomaly detection model, and outputting an anomaly probability; and calculating a risk value based on the abnormal probability, the sensitivity level, the data value coefficient and the user historical risk coefficient, and executing a response strategy according to the risk value, thereby solving the problem of difficulty in deep fusion of multi-source data in the prior art, realizing unified modeling and analysis of multi-dimensional data such as networks, terminals, applications, data access and the like, and improving the user experience. Therefore, the coverage range and the detection accuracy of sensitive data leakage monitoring are remarkably improved.

The invention relates to a coding and decoding adaptive regulation and control system for a 5G video information marketing scene, and belongs to the crossing field of 5G communication, video coding and decoding and marketing digitization. The system cooperates through four units: a 5G video information marketing video perception acquisition unit captures an interactive video in a directional manner, and generates a structured data set through scene noise reduction and bimodal perception; the multi-dimensional coding and decoding intelligent decision-making unit analyzes and extracts a core fragment with high adaptability, and completes criticality evaluation in combination with an exclusive rule base; the dynamic adaptive iterative optimization unit outputs an adaptive result based on a cross-industry code rate system and a scene migration mechanism; and the multi-terminal compliance output unit optimizes parameters, generates a three-dimensional compliance label, and generates an operation report through quality verification and data integration. According to the invention, the coding and decoding parameters are adaptively adjusted along with a 5G network, a terminal and a scene, the data volume is controlled while the marketing key information is kept clear, an adaptive scheme is provided for a private domain terminal, and the touch efficiency and the conversion effect of 5G visual information marketing are improved.

The present invention provides a network terminal data collection method, device and system, which relate to the field of communication technology. The method is applied to an inspection drone, which is used to collect network terminal data corresponding to a network terminal, wherein the method includes: landing at a designated location of the drone nest of the network terminal; obtaining the identification code of the drone nest through the communication module of the inspection drone, and sending the identification code to a cloud platform; receiving the docking parameters corresponding to the identification code returned by the cloud platform, and adjusting the access parameters of the communication module according to the docking parameters; based on the access parameters, receiving the network terminal data sent by the drone nest, so that the inspection drone stores the network terminal data to a local server when returning. Therefore, the present invention can solve the problem in the related art that the network terminals are widely distributed, which makes data collection of the network terminals difficult and the security is low.

A method is provided for operating a transport network, for example a rail freight network including receiving a state report (or “snapshot”) of the transport network including positions of the vehicles and states of the network control apparatuses via the data communications network. A plurality of computer simulations of the transport network are run with reference to the state report. The computer simulations generate a number of feasible timetables and subsequently one of them is selected as an optimal feasible timetable, being a timetable that best satisfies demands for load at terminals of the network. Each of the plurality of computer simulations involves moving vehicle agents corresponding to the vehicles over a graph of the transport network according to a vehicle movement procedure that is configured to avoid gridlocking. The computer simulations are also run according to an optimal destination selection method which is configured to optimise vehicle agent journeys to meet the demand for the loads at locations in the transport network. Each of the plurality of computer simulations is made with varied weightings in respect of optimisation factors in the optimal destination selection method to thereby vary each of the number of feasible timetables. The method includes identifying an optimal timetable from the number of feasible timetables and issuing controls to the vehicles and network control apparatus via the data communications network to control movement of the vehicles across the transport network in accordance with the optimal timetable.

The invention discloses an intelligent power supply and distribution management system based on the Internet of Things, and the system comprises an intelligent power supply and distribution management system, the intelligent power supply and distribution management system comprises a data collection unit, and the data collection unit is in butt joint with a data transmission unit. According to the intelligent power supply and distribution management system based on the Internet of Things, remote monitoring and management of the power supply and distribution system are realized through the Internet of Things technology, the investment of human resources and the workload of manual inspection are reduced, and the management efficiency is improved. Management personnel can know the operation condition of the system through a mobile terminal or network terminal equipment anytime and anywhere, handle abnormal conditions in time, monitor the operation state of power equipment in real time, discover equipment faults and hidden dangers in time and take corresponding measures for processing, so that accidents such as power failure are avoided, and the working efficiency is improved. And the reliability and stability of the power supply and distribution system are enhanced.

The present embodiments are applied to the technical field of optical communications, and provide an optical line terminal device, an optical network terminal device, and a detection method. The optical line terminal device is configured to: receive optical signals sent by different optical network terminal devices in different time slots, wherein each optical signal carries a characteristic signal of a corresponding optical network terminal device, different optical network terminal devices correspond to different characteristic signals, and each optical network terminal device has a preset time slot; and when a target optical signal is received in a time slot outside a target time slot, determine a target optical network terminal device on the basis of the characteristic signal carried on the target optical signal, wherein the target time slot is a preset time slot corresponding to the target optical signal. The optical line terminal device provided in the present embodiments can detect and delimit optical network terminal devices exhibiting rogue behavior, thereby achieving the objective of improving the communication quality and stability of optical communication systems.

The reuse of hybrid automatic repeat request (HARQ) process identifiers (IDs) is enabled under controlled conditions. Consequently, certain delays may be reduced, including those delays that may be associated with waiting for a process ID to be released. A user equipment (UE) may initiate new transmissions sooner than would be allowed according to existing mechanisms. The sooner transmissions may be particularly convenient in those situations wherein previous data has been successfully delivered. Network resources may, as a consequence, be use more efficiently in time-sensitive communication scenarios. An adaptable feedback process, from satellite to UE, is also enabled, which provides the satellite with a flexibility to adjust to different latency and resource constraints, thereby improving overall communication robustness. The flexibility is particularly beneficial in NTNs with higher propagation delays.

A time transfer method based on undifferenced and uncombined PPP-RTK is applied to a time transfer system including a PPP-RTK network end observation station network and PPP-RTK user end observation stations. The network end observation station network includes GNSS reference stations and a network data processing center. The user end observation stations include a time reference station and an ordinary user station. The method includes: acquiring GNSS observations collected by the GNSS reference stations and performing an undifferenced and uncombined PPP-RTK resolution to generate network end products; each of the user end observation stations performing an undifferenced and uncombined PPP-RTK resolution by using collected GNSS observations and the network end product to generate multi-GNSS receiver clock biases; and solving a combined inter-station clock bias by using the receiver clock biases of the ordinary user end observation stations and those of the time reference station serving also as user end.

The invention discloses a network independent visitor quantity statistical method based on a super-logarithm data structure, which comprises the following steps: establishing a plurality of super-logarithm data structures, and correspondingly obtaining a plurality of time buckets according to time; according to the time when the visitor accesses the network terminal, correspondingly storing the identifier and the timestamp of the visitor in a time bucket; and extracting the number of non-repeated visitor identifiers in the statistical time according to the statistical time of the network independent visitor number statistics and the period time of the time bucket to obtain the network independent visitor number. According to the method, a super logarithmic data algorithm is combined with a time bucket mechanism, so that the traditional full-amount storage is replaced with extremely low storage overhead, and the storage cost is reduced; data are stored in time buckets according to needs and periods, accurate screening of timestamps is matched, conventional period statistics is supported, complex time conditions can be flexibly processed, full-amount scanning is avoided, and the statistical efficiency and the utilization rate of storage resources are remarkably improved.

The invention discloses a PON network terminal security isolation management and control system and method based on multi-feature recognition, and relates to the technical field of security isolation and management and control of PON networks, the system collects data such as MAC addresses, supplier information, TTL values and DHCP behaviors of terminals through various devices; processing the collected data, and constructing a device feature vector; monitoring and calculating identity configuration credibility in real time, analyzing TTL fields to evaluate hop count behaviors, and performing matching analysis on terminal communication behaviors; and finally, archiving and evaluating a strategy execution effect, and generating a report for an administrator to review. The system can effectively identify abnormal behaviors and take strategies in real time, and ensures safe isolation and management and control of the PON network terminal.

The present disclosure provides a data transmission method, device, equipment and storage medium, which comprises the following steps: obtaining initial configuration parameters of at least a first network link for communication with a user terminal; determining target network link configuration parameters based on the initial configuration parameters of the at least first network link, wherein the target network link comprises a second network link for communication with the user terminal; and reconfiguring configuration parameters of at least the second network link based on the target network link configuration parameters, so that the user terminal can receive data transmitted by the network terminal based on aggregation of the first network link and the second network link, and the unified scheduling and synchronization problems of communication of each link can be ensured.

The invention relates to the technical field of data transmission, in particular to a routing path selection method and device based on artificial intelligence and a storage medium, and the method comprises the steps: collecting node data of each network terminal and operation data of each switch node in a monitoring period, setting a data transmission mode for the node data of each network terminal, the node quality is scored according to the operation data of each switch node in the monitoring period, and the one-way quality score of the node data about the switch nodes is set based on the data transmission mode of the node data; and marking a routing path set of the node data based on the one-way quality score of the node data about the switch node and the effective radiation distance of the switch node, counting the link quality score of each routing path in the routing path set of the node data, and selecting an optimal routing path by an artificial firefly optimization algorithm according to a statistical result. According to the invention, the routing path selection efficiency is effectively improved.

The invention discloses a data transmission method and a data transmission system, and relates to the technical field of information security. The method comprises the following steps: under the condition of establishing communication with an application server, receiving a first data transmission request sent by the application server, the data transmission request comprising to-be-transmitted first service data; generating an encryption key, and encrypting the first service data based on the encryption key to obtain a first encrypted file; and under the condition of establishing communication with the target terminal equipment, transmitting the first encrypted file to the target terminal equipment through the USB interface. According to the technical scheme provided by the invention, the risks that the sensitive data is decrypted after the terminal equipment is stolen and a hacker simulates and counterfeits a legal terminal to forge service data to be transmitted back for enforcement can be effectively reduced, and the data transmission security requirement of a high-security requirement unit on the network-free terminal equipment can be met.

The utility model relates to an acoustic alarm system for a nuclear power plant. The acoustic alarm system comprises a plurality of consoles, an IP broadcast system host, an IP network system, a plurality of sets of dry contact network terminals, a plurality of acoustic alarm control switches, a plurality of acoustic alarms and a plurality of IP acoustic alarms, the console generates an output signal according to the trigger signal corresponding to each key; the IP broadcast system host executes issuing and partition control of the sound alarm signal according to the network control signal; the IP network system transmits an acoustic alarm control signal and a network control signal; the dry contact network terminal controls the sound alarm to output a corresponding sound alarm signal according to the sound alarm control signal; and the IP sound alarm outputs a corresponding sound alarm signal according to the sound alarm control signal. According to the utility model, rapid and flexible networking is realized through a standard IP network, intelligent monitoring can be realized, and digitization and intellectualization of products are realized.

The present application provides an optical network topology generation method and system, an optical network side device, an electronic device, and a computer readable storage medium, and relates to the technical field of optical communications. The method is applied to an optical network side device and includes: sending optical detection signals of different wavelengths to an optical path in an optical distribution network (ODN), where the ODN is communicatively connected to at least one optical network termination (ONT); obtaining feedback information returned via the optical path, where the feedback information is information for determining a connection relationship of preset splitters in the ODN; and generating an optical network topology according to the feedback information.

The invention relates to the technical field of 5G communication network security, and discloses a 5G communication network security supervision method and system based on edge computing, and the method comprises the steps: obtaining the number of edge computing nodes and 5G terminal equipment in a supervision region, and collecting and processing the operation parameters of the terminal equipment in real time; the system comprises a data acquisition module, a data processing module, a state evaluation module and an early warning module, real-time and efficient safety supervision on the 5G communication network terminal equipment and the communication link is realized, and the safety of the communication link is further evaluated in the coverage area of each terminal equipment and the edge computing node where the terminal equipment is located. And the security protection capability of the 5G communication network is effectively improved.

The invention discloses a data classification method and device, a medium and a product. Relates to the field of financial data classification and can be applied to the technical field of finance. Calling an interface of an inference model to classify the to-be-classified data based on the inference model; the to-be-classified data and the reasoning model are deployed locally; the inference model is obtained by training classified data samples output by the data classification model. According to the technical scheme of the invention, the reasoning model is established based on the classified data sample output by the data classification model, and a classifier can be deployed in a network-free environment with finite computing power on the basis of a large model called by an interface, so that the data classification requirement is met; in the financial field, the method can be applied to a data classification function in scenes such as an intranet environment without a network terminal and incapable of deploying a large model.

In the antenna unit, a dielectric layer comprises an upper microwave dielectric substrate, an upper bonding medium, a middle microwave dielectric substrate, a lower bonding medium and a lower substrate layer which are sequentially bonded from top to bottom, and a metal copper layer comprises a radiation patch layer, an antenna grounding layer and a connecting layer; the metal via hole comprises a metal feed through hole and a metal short circuit buried hole; the metal feed through hole penetrates through the dielectric layer, namely penetrates from the upper microwave dielectric substrate to the lower substrate layer; and a plurality of metal short-circuit buried holes are provided and penetrate through the middle-layer microwave dielectric substrate. The dual-polarized electrically small antenna unit and the MIMO array thereof have the characteristics of high efficiency, high gain, wide beam and the like, and are suitable for application requirements of 5G FR3 frequency band and future 6G wireless network terminal communication.