225 results about "Network sharing" patented technology

The invention relates to the technical field of industrial equipment intelligent operation and maintenance, and discloses a self-adaptive predictive maintenance system and method for industrial equipment. A physical mechanism and neural residual parallel mixed digital twinborn model is constructed, predictive deviation is explicitly modeled into a residual, and through a meta-learning technology, the prediction deviation and the residual are subjected to prediction prediction; a twin mother set with universal knowledge is trained offline from historical data of an equipment group, for new equipment, a small amount of initial data can be used for rapid fine adjustment based on the mother set, personalized twin is efficiently generated, a residual sequence is continuously monitored in an online diagnosis stage and a system, probability modeling is performed on health residual distribution, and the probability modeling result is obtained. Sensitive detection of early and unknown faults is achieved, and after individual twins obtain new knowledge through self-adaptive learning, the knowledge is shared through a federated network in a model updating quantity mode and used for iteratively optimizing a global twinborn mother set, and intelligent population evolution between devices is achieved.

The invention discloses a spatial domain identification method and device based on multi-modal topological consistency, and belongs to the field of transcriptome spatial domain identification, and the method comprises the steps: constructing a multi-layer network which is in one-to-one correspondence with modal information contained in a biological tissue based on spatial transcriptomics data of the biological tissue; extracting a consensus structure feature shared by the multi-layer network and a specific structure feature specific to each layer of network; constructing a cell consistency network of the biological tissue according to the consensus structural features, the specific structural features and the multilayer network; and performing clustering processing on the cell consistency network to obtain recognition results of different spatial domains in the biological tissue. According to the method, the heterogeneity problem among different modal data can be overcome, and the spatial domain recognition effect is better.

A method includes recording a first bitrate of a data transfer session between a user endpoint device and a network element of a terrestrial mobile network, wherein the user endpoint device is locked into a radio frequency band of the terrestrial mobile network, recording a second bitrate of the data transfer session, during a test interval in which a satellite of a non-terrestrial network that shares the radio frequency band with the terrestrial mobile network is executing a function that generates a data transmission to generate full-bandwidth noise signals, calculating a difference between the first bitrate that is recorded and the second bitrate that is recorded, and initiating, in response to the difference exceeding a threshold, an action to modify a parameter of at least one of the terrestrial mobile network or the non-terrestrial network to reduce an effect of channel interference resulting from the sharing of the radio frequency band.

The invention relates to an operation and maintenance management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring operation and maintenance data; performing anomaly detection on the operation and maintenance data by using the multi-task prediction model to obtain a health assessment result; wherein the multi-task prediction model comprises an expert network and a prediction network; the expert network comprises at least one shared expert network and a plurality of private expert networks; the shared expert network is used for performing feature extraction and fusion processing on the operation and maintenance data to obtain a global feature vector; the private expert network is used for performing feature processing on operation and maintenance data corresponding to a specific scene and / or a specific task to obtain a local feature vector; the prediction network is used for detecting a target feature vector obtained by fusing the global feature vector and the local feature vector to obtain a health assessment result; performing evaluation analysis on the operation and maintenance quality based on the operation and maintenance data to obtain a target operation and maintenance evaluation result; and determining a target comprehensive result according to the health assessment result and the target operation and maintenance assessment result.

The invention discloses an electromagnetic field intelligent calculation method based on deep learning, and the method specifically comprises the steps: inputting a space-time input vector into an MFF-PINN neural network, the MFF-PINN neural network comprises parallel sub-networks and a linear superposition module, the sub-network comprises a scale transformation module, a Fourier feature transformation module and an MLP processing module, and the MFF-PINN neural network comprises a linear superposition module; firstly, scale transformation is carried out on a space-time input vector, then Fourier feature transformation is carried out on the vector after scale transformation, and the Fourier feature transformation module carries out Fourier transformation on the vector after scale transformation based on an effective frequency matrix; all the sub-networks share the Fourier feature transformation, and the output obtained by the Fourier feature transformation is input to the MLP processing module in the first sub-network; and carrying out linear superposition on the output of the sub-networks. According to the invention, the expression capability of the network on the high-frequency component and multi-scale characteristics of the electromagnetic field is obviously enhanced.

The invention discloses a model scheduling method, a storage cluster, a device and a medium, and relates to the technical field of computers. The method comprises the following steps: performing hierarchical processing on a model mirror image file in advance to obtain a base layer mirror image file and a model layer mirror image file, storing the base layer mirror image file in a cache space corresponding to a cloud platform, and storing the model layer mirror image file in a network sharing space. The mixed storage of the cache space and the network sharing space of the mirror image file is realized, and the redundant transmission and storage overhead is also reduced. In response to the current scheduling request, after the scheduling of the base layer mirror image file is completed for the first time, the base layer mirror image file does not need to be mounted for the non-first scheduling, so that the multiplexing of the base layer mirror image file is realized. And only the incremental model layer mirror image file is mounted for model iteration, so that the transmission overhead is reduced, the iteration requirement of each model is met, the network bandwidth consumption is reduced, and the deployment efficiency is improved.

A system may include a plurality of network shared storage (NSS) client managers associated with a respective plurality of share entities in the vehicle. The system may include an NSS server manager communicatively coupled to the plurality of share entities and configured to manage access of the plurality of share entities to a shared data storage, wherein the NSS server manager is further configured to manage access of the plurality of share entities by configuring at least one of the plurality of NSS client managers to manage access to the shared data storage of an associated one of the respective plurality of share entities, wherein the NSS server manager is communicatively coupled to the plurality of share entities over a mixed in-vehicle network (IVN) including a plurality of different network types.

Various aspects of the present disclosure relate to techniques for indirect network sharing. A network entity is configured to receive a first message for registering a UE with a participating network associated with a hosting network, transmit a second message comprising assistance information based at least in part on the received first message, wherein the assistance information comprises allowed NSSAI for the UE or partial allowed NSSAI for the UE, or both, and wherein each of the allowed NSSAI or the partial allowed NSSAI, or both is associated with corresponding allowed NSSAI or corresponding partial allowed NSSAI associated with the hosting network, and transmit a third message to a second network entity of the hosting network, the third message comprising allowed NSSAI or partial allowed NSSAI, or both, associated with the hosting network corresponding to the allowed NSSAI or the partial allowed NSSAI for the UE, or both.

The invention provides a coastal wetland mud flat ecological environment monitoring method, system and device and a medium, and belongs to the field of remote sensing image processing.The method comprises the steps that a double-branch network sharing an OfficientNet network backbone parameter is rebuilt, the improved network is connected with a connection terminal attention mechanism to form an OfficientNet model, the model is trained, and the OfficientNet model is constructed; enabling the model to predict a double-time-phase characteristic graph of the target coastal wetland mud flat; performing multi-level differential feature fusion on the dual-time-phase feature map, inputting the dual-time-phase feature map into a decoder, and generating a change prediction map with clear boundaries; obtaining a historical data set, an environmental factor and an ecological index; optimizing the ecological degradation rate and the ecological change correlation factors through normalization and cross validation, and generating a degradation trend prediction model; the method is high in data prediction precision and high in accuracy, can output degradation tendency charts and degradation risk level quantitative reports of the target area in the next few years, and provides powerful support for ecological protection.

The invention belongs to the technical field of unmanned system cluster control and semi-physical simulation, discloses a method and a system for improving distributed cooperative control and simulation performance of an unmanned system, and aims to solve the problems of large communication delay, low synchronization precision, calculation bottleneck, model updating lagging and the like of a traditional simulation system. The method comprises the following steps: constructing a distributed system consisting of a service master station and at least one simulation middle station, and sharing a uniform address space by using an optical fiber reflection memory network (RFM); microsecond-level accurate synchronization of each node is realized through a hardware broadcast and interrupt mechanism of the RFM; all the simulation middle tables execute unmanned system dynamics resolving and cooperation tasks in parallel in a synchronization period; and the service main station is responsible for global instruction generation, semi-physical simulation closed-loop control and interaction with the large model to realize synchronous iteration of model training.

Methods, systems, and devices for wireless communications are described. An access and mobility management function (AMF) proxy may establish communication links with a RAN and a first AMF of a first network operator, and with a second AMF of a second network operator. The AMF proxy may receive a first message from the RAN, the first AMF, or the second AMF, the message indicating a manipulated or unmanipulated AMF user equipment (UE) identifier (ID) and a manipulated or unmanipulated RAN UE ID. The AMF proxy may perform ID manipulation the UE IDs in the first message based on a first mapping between the manipulated and unmanipulated AMF UE ID and a second mapping between the manipulated and unmanipulated RAN UE ID. The AMF proxy may transmit a second message to the first AMF, the second AMF, or the RAN based on the AMF UE ID or the RAN UE ID.

The invention discloses a network sharing method and device, computer equipment and a storage medium. The method specifically comprises the following steps: sending an emergency indication request to a second AMF network element belonging to an operator network; wherein the emergency indication request is used for indicating the second AMF network element to monitor a base station state of a first base station of a home operator network, determining an emergency state entry condition based on the base station state, and sending an emergency indication response message to the first AMF network element when the emergency state entry condition is an emergency state entry condition. And receiving the emergency indication response message, and controlling a second base station of the shared operator network to start a shared service, so that a user terminal belonging to the operator network accesses the shared operator network based on the second base station. According to the invention, not only is network sharing realized between the home operator network and the shared operator network, but also the network sharing efficiency is greatly improved, and the stability of network communication service in a disaster environment is effectively improved.

A system for causing a display of a video on an original equipment manufacturer (OEM) display of a land vehicle; it has a camera for generating the video, the camera for fastening to the vehicle; and a router for communicating with the camera, comprising a wireless input / output interface; and a controller configured to receive via the input / output interface an Internet signal through tethering using a short-range wireless network generated by the portable computer; generate an Internet signal from the local wireless network generated by a portable computer to enable WiFi by the vehicle; transmit a command to the camera to start producing a video and to transmit the video to the router; receive the video from the camera; and transmit wirelessly the received video to an IP address of a web server hosted locally by the router; and a method of use thereof.

The application relates to the technical field of charging facility operation and maintenance, and discloses an electric vehicle looped network sharing intelligent operation and maintenance method, which comprises the following steps: a cloud server acquires monitoring data and extracts a multi-dimensional fault feature vector representing the space-time operation state of a looped network and a charging module; a detection model fusing a graph neural network and a bidirectional long short-term memory network is used to deeply fuse space and time features to output a fault probability; a fault type is determined based on a probability decision logic and a multi-modal cross-validation mechanism, and a similarity matching algorithm is used to lock a specific fault source; and a hierarchical self-healing control instruction is sent to a power distribution control module and a rectification module based on a fault level, and a derating operation, isolation bypass or full stop protection strategy is respectively executed. Through the multi-dimensional feature fusion and hierarchical response mechanism, the application effectively solves the problem of difficult DC looped network fault positioning, and guarantees system service continuity.

The application relates to the technical field of model quantization, and discloses a generation method of a self-adaptive mixed-precision quantization network based on self-learning, which comprises the following steps: obtaining a teacher bit width set and a student meta-network to be trained, the teacher bit width set comprising multiple candidate teachers with high bit widths, and the student meta-network sharing full-precision weights and supporting multiple bit width configurations; for any bit width configuration, a corresponding target teacher is determined according to the interlayer Manhattan distance between the student meta-network and each candidate teacher and the entropy value of the prediction probability distribution of each candidate teacher; all bit width configurations of the student meta-network are jointly trained to obtain a self-adaptive bit width student meta-network; based on the interlayer importance evaluation result, a bit width search strategy is used to determine the target bit width of each layer network; and based on the target bit width of each layer network and the self-adaptive bit width student meta-network, a target mixed-precision quantization network is generated, thereby solving the technical problem of low diagnosis accuracy of related models in power equipment state monitoring.

The application discloses an unmanned aerial vehicle cluster control method and system based on artificial intelligence, relates to the technical field of unmanned aerial vehicle cluster control, and comprises the following steps: acquiring global cooperative situation data through a sensor, and preprocessing the global cooperative situation data to obtain preprocessed global cooperative situation data; calculating path cost indexes of each unmanned aerial vehicle through a fuzzy C-means clustering algorithm according to the preprocessed global cooperative situation data, generating a preliminary flight path, and dynamically adjusting the preliminary flight path according to real-time environmental feedback through a reinforcement learning algorithm; and sharing the adjusted preliminary flight path and global environmental information of the unmanned aerial vehicle cluster through a 5G network, analyzing the speed, heading angle, height, acceleration gradient and height change rate of each unmanned aerial vehicle, and generating cooperative control parameters; the application realizes efficient cooperative control and reliable execution of the unmanned aerial vehicle cluster in a dynamic environment, and improves overall cooperativeness and task completion capability.

Aspects of the disclosure are directed to signaling, to a location server that receives an indication of radio access network (RAN) sharing status information associated with a communications network serving a user equipment (UE). In an aspect, the location server may receive the indication from the UE itself or a RAN node associated with the communications network. In an aspect, the location server may provide assistance data to the UE that is associated with a position estimation session of the UE and is based on the RAN sharing status information. Such aspects may provide various technical advantages, such as improved position estimation latency, accuracy, etc., based on the location server factoring the RAN sharing status information into the assistance data provided to the UE.

Disclosed are a network connection method under network sharing, an electronic device and a non-transitory storage medium. The network connection method under network sharing is applied to a Distributed Unit (DU) and includes: receiving a RRC connection setup request sent by a UE; acquiring preset configuration information in response to the RRC connection setup request; encapsulating the configuration information in an RRC connection setup message, and sending the RRC connection setup message to the UE; receiving an RRC connection setup complete message sent by the UE according to the RRC connection setup message, where the RRC connection setup complete message carries a PLMN identity; and determining a target CU according to the PLMN identity, and sending an initial UL RRC message to the target CU, so that the target CU establishes a context of the UE according to the initial UL RRC message.

Embodiments of the present application provide a network sharing method, an electronic device, and a chip system. The method is applied to a first electronic device. When the first electronic device and a second electronic device meet a preset condition, the first electronic device can communicate with the second electronic device by establishing a first network path with the second electronic device. The first electronic device sends a network sharing request to the second electronic device by means of the first network path, so that the second electronic device enables network sharing. The second electronic device configures a proxy gateway in response to the network sharing request. The first electronic device configures a default gateway, domain name mapping, and a virtual network path in response to a first instruction indicating that the proxy gateway has been successfully configured. A network access request of the first electronic device can be forwarded to the virtual network path to implement network sharing. The virtual network path is configured on the basis of the network type of the second electronic device so as to share different types of networks. The present application can also achieve switching of other hotspot networks or wireless networks.

Mitigation of interference between terrestrial networks (TN) and non-terrestrial networks (NTN) in integrated communication systems may be achieved by reducing the interference at both networks such that co-channel inter-system interference may be minimized and spectral efficiency may be improved. Additionally, by improving spectrum sharing between TN and NTN, higher throughput may be achieved and user coverage may be expanded. By integrating a directional interference adjustment factor (DIAF) into a power control mechanism, a system can make more informed and precise adjustments to its transmit power. By considering the DIAF, the system may dynamically adjust power to, thereby, minimize interference with other networks or users. Minimization of interference is especially convenient in environments where multiple networks share the same spectrum. Adjusting power based on the DIAF helps maintain a better signal to interference and noise ratio, leading to more reliable communication and better data rates.

The invention discloses a network sharing method and related equipment, and belongs to the technical field of terminals. Comprising the steps that when a state machine of first electronic equipment is in a client idle state, in response to an internet access demand event of the first electronic equipment, the state machine triggers to send a first query request to second electronic equipment, and when the state machine is in the client idle state, the first electronic equipment is in a non-networking state; after a first query response of the second electronic equipment is received, the state machine triggers to establish a first P2P link with the second electronic equipment, the first P2P link is used for the first electronic equipment to share a first network of the second electronic equipment, and the first query response indicates that the second electronic equipment has the network sharing capability at present; and the state machine is transferred from the client idle state to the client connection state. According to the method and the device, the P2P link is triggered to be established between the first electronic equipment and the second electronic equipment through the state machine to realize network sharing, password information sharing among the equipment is not needed, and sharing of any type of network is supported.

The invention relates to an intelligent system and an intelligent device with mobile network and network sharing functions. The intelligent system comprises a power supply module, a wireless connection module, a voice / noise reduction module, a pickup module, a loudspeaker module, an MCU main control module, a mobile network module and a network sharing module. According to the intelligent system and the intelligent device with the mobile network and network sharing functions, the Internet surfing effect is realized by arranging the mobile network module, and the mobile network module supports 4G / 5G network access, which means that users can enjoy high-speed and stable network services no matter in prosperous urban areas or remote villages; the use scene of the intelligent system is greatly expanded, particularly in the outdoor environment, a user does not need to depend on a wired network or search for a Wi-Fi hotspot, meanwhile, the network sharing module can share and use a mobile network in real time, efficient network resource sharing among multiple devices is achieved, the design is beneficial to meeting the network requirements of different devices, and the user experience is improved. And the flexibility and convenience of using the whole network are improved.

The invention discloses a cognitive radio network spectrum efficiency optimization system and method based on a clamped antenna, belongs to the technical field of wireless communication, and solves the problems that in a downlink cognitive radio network, a primary network and a secondary network share the same frequency band, so that serious same-frequency interference exists between a primary user and a secondary user, and the service life of the primary user is influenced. The problem that a traditional fixed antenna array cannot simultaneously realize the maximized coherent gain of an expected user and the interference suppression of an interference user is solved. The method comprises the following steps: constructing a cognitive radio network model; constructing an optimization problem with maximization of the sum of the spectrum efficiencies of the primary user and the secondary user as a target; optimizing the antenna clamping position of the main network; the antenna clamping position of the secondary network is optimized, specifically, coarse-scale position optimization is executed to determine the initial position, and then fine-scale position optimization is executed to adjust the phase; and configuring the cognitive radio network based on the optimized antenna clamping position to improve the total spectrum efficiency. The method is suitable for the spectrum efficiency optimization scene of the cognitive radio system.

The invention discloses a station platform wireless signal coverage optimization method and system based on an intelligent algorithm, particularly relates to the technical field of mobile communication network coverage optimization, and is used for solving the problems of strategy mutual exclusion and overall performance reduction caused by independent optimization of different systems when a multi-system network shares antenna resources in the prior art. A multi-band antenna unit is deployed, wireless signals and environment data are collected in real time, independent optimization directions of all networks are simulated to predict resource allocation conflicts, strategy exclusiveness is evaluated, a collaboration index is generated, a cooperative game mechanism or a master-slave game mechanism is dynamically selected based on the index to generate a global optimization decision, and the overall optimization decision is obtained. And finally, executing the decision and collecting feedback data to form closed-loop optimization so as to realize intelligent collaboration and dynamic optimization of multi-system network coverage.

An aspect of this disclosure includes method of a user equipment (UE). The method includes sending a registration request message in a case where the UE is registered over 3GPP access through a Hosting operator network using an Indirect network sharing in the Hosting operator network and a Participating operator network and the UE moves out an area of the Indirect network sharing. The registration request message is sent to an Access and Mobility Management Function (AMF) in the Hosting operator network. The method includes receiving a registration reject message from the AMF. The registration reject message includes at least one of information indicating that an area where the UE is located is not a subject for the Indirect network sharing and information indicating that the UE is requested to perform Public Land Mobile Network (PLMN) selection. The method includes performing the PLMN selection. The method includes performing a registration procedure in the Participating operator network.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a message that includes a multi-operator core network (MOCN) frequency indicator that indicates whether an operating frequency is configured with at least one shared cell that is associated with multiple public land mobile network (PLMN) identities. The UE may perform a cell selection or reselection procedure to select a cell associated with the operating frequency based on the cell satisfying a threshold such as a quality threshold. The UE may then select, as part of the cell reselection procedure, a shared cell associated with the operating frequency based on the cell being unavailable for selection based on a PLMN identity associated with the cell, and the MOCN frequency indicator indicating that the operating frequency is configured with the at least one shared cell.

The embodiment of the invention provides an equipment configuration method and related equipment, and belongs to the technical field of intelligent equipment. The method comprises the following steps: starting a network sharing function of a distributed execution unit and protected equipment; connecting to the IP address of the distributed execution unit through a network card of the protected equipment application distributed execution unit; the method comprises the following steps: acquiring a shared configuration file directory of a distributed execution unit through protected equipment, and displaying a shared configuration file on a configuration page of the protected equipment; in response to the write-in operation, displaying the current configuration content on a configuration page of the protected equipment; and in response to the saving operation, saving the current configuration content to the shared configuration file, and applying the shared configuration file through the distributed execution unit. According to the embodiment of the invention, automatic equipment configuration of the distributed execution unit can be realized, server management is not needed, personal scene use is facilitated, manual intervention is reduced, the error rate is reduced, and the expansibility, flexibility and maintainability of the system are improved.

The application discloses a kind of conveyor intelligent monitoring system, method and storage medium, the system includes: field server, wisdom data terminal and cloud server;Field server is used to collect the operation data of conveyor, and sends operation data to wisdom data terminal, and receives the decision suggestion sent by wisdom data terminal;Wisdom data terminal is used to receive operation data, and sends operation data to cloud server, obtains the decision suggestion matched with operation data from cloud server, and sends decision suggestion to field server;Cloud server is used to generate unique network address for conveyor, stores operation data sent by wisdom data terminal by unique network address, and receives the decision suggestion sent by technical personnel and sent to wisdom data terminal.The conveyor intelligent monitoring system disclosed in the application realizes the network sharing of field data, and can make the decision suggestion on the cloud server of field conveyor.

The disclosure relates to a communication technique for convergence of internet of things (IoT) technology and a 5th generation (5G) or a pre-5G communication system for supporting a higher data transmission rate beyond a 4th generation (4G) communication system, such as the long term evolution (LTE) and a system therefor. The disclosure is applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail businesses, security- and safety-related services, and the like) based on 5G communication technology and IoT-related technology. A network sharing method and an apparatus for supporting multiple operators in a wireless communication system are provided.

A variety of transmission patterns are provided for the transmission of synchronization signals in an OFDM cellular communication system utilizing beam sweeping techniques. In the patterns, at least one OFDM symbol gap is provided between bursts of each synchronization signal to allow for switching between beams.