166 results about "Self-organizing network" patented technology

The invention provides a virtual power plant dynamic response scheduling method and system based on a cognitive spectrum network, which can improve the reliability, self-adaptive capability calculation efficiency and risk management and control capability of a virtual power plant communication system, and relates to the technical field of virtual power plants, the method comprises the following steps: establishing a cognitive spectrum self-organizing network; collecting current operation state data of each power resource under the virtual power plant and historical operation state data under different working conditions; obtaining a resource response characteristic of each power resource; outputting a preliminary optimization result; converting the preliminary optimization result into a credible optimization result; generating a system risk partition topology report; a market risk hedging strategy capable of being automatically executed is generated; and generating a final scheduling instruction containing the power set value, the execution time, the hedging operation and the risk constraint condition of each resource. According to the method, a feasible technical path is provided for large-scale efficient utilization of distributed resources under the background of the energy internet.

The invention discloses a topographic surveying and mapping method and system based on unmanned aerial vehicle cluster collaboration, and belongs to the technical field of unmanned aerial vehicle cluster collaboration topographic surveying and mapping, and the method comprises the following steps: a ground control center plans a flight route for each unmanned aerial vehicle in a cluster according to the topography and precision requirements of a surveying and mapping area, a theoretical processing sequence of data of each unmanned aerial vehicle is calculated in advance; and the unmanned aerial vehicle cluster autonomously takes off to a predetermined airspace according to the instruction, and dynamically establishes a multi-hop relay communication network based on a mobile ad hoc network technology in a flight surveying and mapping process so as to evaluate and use the fastest signal transmission path. Through the combination of the steps, the data processing and transmission efficiency is improved, reliable communication and collision prevention are guaranteed, weather interference can be dealt with, and efficient and accurate topographic surveying and mapping are achieved.

State of the art systems used for industrial plant monitoring have the disadvantage that they fail to correctly assess reason for dip in performance of the plant and in turn trigger appropriate corrective measures. The disclosure herein generally relates to industrial plant monitoring, and, more particularly, to a system and method for development and deployment of self-organizing cyber-physical systems for manufacturing industries. The system monitors and collects data with respect to various parameters, from the industrial plant. If any performance dip is detected, the system determines corresponding cause, and also triggers one or more corrective actions to improve performance of the plant and different plant components to a desired performance level.

The invention relates to the technical field of earthquake monitoring and early warning, in particular to an earthquake early warning analysis system and method based on intelligent equipment. The system comprises a terminal sensing and initial judgment module which collects data through a sensor array, identifies P-wave features by using a dynamic weight adjustment model and generates an encrypted initial alarm; the adaptive network transmission module is used for establishing a dynamic self-organizing network based on a D2D protocol and realizing multi-hop relay transmission of alarms by electing relay nodes; the edge aggregation and verification module is used for executing space-time matching and cross verification on a plurality of alarms in a specific area, judging the authenticity of an event and generating graded early warning information; and the cloud control fusion and actuarial module is used for fusing the regional event data and the professional network data, executing high-precision positioning and earthquake magnitude calculation, and issuing a final early warning instruction. According to the invention, a high-density sensing network is constructed by using massive intelligent devices, the early warning blind area is effectively eliminated, and faster, more accurate and more robust earthquake early warning is realized.

A method performed by a communication device (12) is disclosed. The communication device (12) stores, at the communication device (12), a self-organizing network, SON, report (16) associated with a non-public network, NPN, including storing the SON report (16) in association with an NPN identifier of the NPN with which the SON report (16) is associated. The communication device (12) also transmits a message to the serving network indicating that the SON report (16) is available at the communication device (12), if a serving network of the communication device (12) is an NPN identified by an NPN identifier which matches the NPN identifier associated with the SON report (16).

The invention relates to the technical field of wireless communication, in particular to a Bluetooth mesh-based riding helmet earphone multi-terminal talkback synchronization method and system, and the method comprises the steps: constructing a self-organizing network through a plurality of terminal nodes, carrying out the error detection of the self-organizing network, obtaining an error value, carrying out the time compensation of the terminal nodes, and obtaining a calibration terminal node, carrying out voice activity monitoring on the plurality of calibration terminal nodes to obtain a plurality of marked terminal nodes, carrying out time slot allocation on the plurality of ordered voice requests to obtain a plurality of voice frames with timestamps, carrying out multi-hop forwarding on the plurality of voice frames with timestamps to obtain a plurality of verification voice frames, carrying out timestamp sorting to obtain a plurality of sorted voice frames, and sending the sorted voice frames to a server; and performing synchronous error correction to obtain a plurality of synchronous voice frames, decoding and playing the plurality of synchronous voice frames to obtain a synchronous voice stream, and realizing multi-terminal synchronous talkback. According to the invention, the problems of difficult network establishment, asynchronous voice and speaking right conflict in the application of the riding helmet Bluetooth earphone can be solved.

A method of a hyperparameter server improves hyper-parameter search efficiency for devices in a self-organizing network (SON) includes sending configuration for data feature collection to at least one edge device in the self-organizing network, receiving hyper-parameter performance data from the at least one edge device, and training a shared hyperparameter machine learning model using a global training database including the hyperparameter performance data to identify optimal hyperparameters for use by the at least one edge device. A further method of an edge device improves hyperparameter search efficiency for devices in a SON includes receiving configuration for data feature collection from a hyperparameter server, training an edge machine learning model using local training data and selected hyperparameters, and sending performance data to the hyperparameter server obtained from the training of the edge machine learning model.

The invention belongs to the technical field of ad hoc networks of Internet of Vehicles, and particularly relates to a vehicle ad hoc network local exploration routing method for event information transmission, which comprises the following steps: firstly, a vehicle periodically exchanges state information and monitors an event, and performs priority identification on event information based on a security level; positioning a nearest vehicle as an information source vehicle and creating an initial routing table; secondly, combining the Manhattan distance between vehicles, the link life, the transmission period and the distance limit to calculate heuristic cost and actual movement cost to construct a routing cost function, dynamically selecting relay nodes through a local exploration strategy, and updating the initial routing table into a relay routing table; and finally, updating the heuristic cost by taking a time slot as a unit to realize predictive maintenance optimization of the optimal routing table. Simulation shows that in a high-density scene, compared with a traditional Mozo method, the routing overhead of the method is reduced by 30.77%, and the long-distance transmission routing operation time is shortened by 24.55%.

The invention discloses an unmanned aerial vehicle group positioning method based on inertial navigation and group sensing distance measurement fusion. The method comprises the following steps: acquiring SINS data obtained by strapdown inertial navigation equipment carried by unmanned aerial vehicles and distance measurement data between anchor nodes and each unmanned aerial vehicle and between the unmanned aerial vehicles obtained through self-organizing network communication; the air-ground module establishes an error model to obtain a distance measurement correction value, the distance between the anchor node and each unmanned aerial vehicle is corrected based on the distance measurement correction value, and the corrected distance between the anchor node and each unmanned aerial vehicle and SINS data are subjected to Kalman filtering to obtain a combined navigation positioning result; the aerial group module performs data conversion on the ranging data between the unmanned aerial vehicles to obtain the distance between every two unmanned aerial vehicles at the same moment; and performing nonlinear optimization on the combined navigation positioning result and the distance between every two unmanned aerial vehicles at the same moment by using a least square method to obtain an unmanned aerial vehicle group positioning result. According to the invention, the robustness and accuracy of positioning are further improved.

Disclosed embodiments are related to Management Data Analytics (MDA) relation with Self-Organizing Network (SON) functions and coverage issues analysis use case. An MDA Service (MDAS) obtains input data related to one or more managed networks and services from one or more data sources; generates an analytics report based on analysis of the input data; and sends an analytics report to a Self-Organizing Network (SON) function for root cause analysis of ongoing issues, prevention of potential issues, and / or prediction of network or service demands. The analytics report may describe an identified network or cell coverage issue related to the SON function. Other embodiments may be described and / or claimed.

The invention discloses an intelligent help-seeking ring system based on low-power-consumption Bluetooth, and the system comprises a multi-mode sensor combination which comprises a motion sensor, a physiological sensor, and an environment sensor; the multi-level triggering module is configured to judge a user state through a preset multi-level early warning algorithm based on the fusion data acquired by the multi-mode sensor, and trigger corresponding distress signals according to different risk levels; the self-adaptive communication module is configured to carry out distress signal transmission through low-power-consumption Bluetooth; the self-organizing network system comprises a plurality of Bluetooth receiving nodes, and mesh networks are formed among the Bluetooth receiving nodes to relay and forward distress signals; and the monitoring processing system is configured to receive and process the distress signal from the self-organizing network system and execute a corresponding rescue response. By constructing the combination of the multi-level triggering module and the multi-mode sensor, the accuracy and the intelligent level of triggering the distress signal are improved.

The invention discloses a transformer substation ground subsidence early warning method, system and equipment integrating monitoring driving, and relates to the related field of building subsidence monitoring, and the method comprises the steps: deploying a magnetostrictive sensor array to sense ground micro-deformation, collecting subsidence data in real time, building a self-organizing network through a low-power-consumption wireless WAPI (Wireless Local Area Network Application Program Interface), encrypting and transmitting the data to an edge computing node; performing multi-source data fusion processing on the nodes, and constructing a settlement trend prediction channel; a double-threshold early warning mechanism is set, a trend prediction value is obtained through prediction channel analysis, and multi-level early warning is triggered by comparing double thresholds based on the prediction value, so that intelligent early warning is realized. The technical problems that the early warning accuracy rate is low and potential safety hazards cannot be found in time due to the fact that a traditional transformer substation ground subsidence monitoring method is single, the multi-source data fusion capacity is weak and the real-time performance is poor are solved, and the purpose that the potential safety hazards cannot be found in time through multi-source monitoring data fusion and trend prediction is achieved. The technical effects of high-precision real-time sensing and graded intelligent early warning of land subsidence are achieved.

The invention provides an underground communication link optimization method and system based on a self-organizing network, and relates to the technical field of communication links, and the method comprises the steps: obtaining communication node information, constructing a network topology structure, and determining network feature parameters; constructing a link quality prediction model to evaluate the link quality; performing network dynamic partitioning and establishing a node priority sorting table to select an optimal transmission path; the link state is monitored in real time, and node self-organization reconstruction is triggered when necessary. According to the invention, the connectivity, the stability and the transmission efficiency of an underground communication network can be improved, the communication delay is reduced, and the underground operation safety is enhanced.

The invention discloses a personalized travel route dynamic generation method fusing AIGC and real-time passenger flow, and belongs to the technical field of navigation and route planning, and the method comprises the steps: constructing a self-organizing network of geographical, cultural and emotional information; implanting a narrative seed compiled by a user request to trigger diffusion to generate an initial activation field; adjusting a network emergence intrinsic narrative path by using an environment rhythm field defined by real-time passenger flow; a narrative bifurcation is generated through artificial intelligence content generation and deduction interaction, and a man-machine coupling narrative flow is formed through user arbitration; capturing an interaction track to remodel network weight solidification experience and outputting global tension; and the accumulated tension triggers the network to spontaneously break and emerge a new dimension, and cognitive transition is completed. According to the technical scheme, the self-organizing network is constructed, the narrative intention of the user and the real-time environment rhythm field are fused, and man-machine co-evolution is driven through artificial intelligence content generation, so that dynamic generation, self-adaptive adjustment and intelligent evolution of the travel route can be realized.

The invention discloses a wireless fast ad hoc network node security access and key management method based on quantum random numbers, and belongs to the technical field of wireless communication. The method comprises the following steps: constructing a dynamic architecture of the Mesh ad hoc network; the constructed Mesh ad hoc network dynamic architecture is updated, and an optimal communication path is searched; the unpredictability of quantum physics is combined with the real-time state of the network to construct a dynamic master key; fragmenting the master key to generate key fragments; the key fragment is stored in a Mesh ad hoc network; and based on the state of the Mesh ad hoc network, judging whether the key fragment is stored again or not. According to the method, the Mesh ad hoc network architecture is quickly established, and a Mesh network distributed key fragmentation and storage mechanism is combined, so that key loss caused by single node leakage and node failure is avoided, node quick ad hoc access and dynamic key updating are supported, and secure communication under frequent topology change is ensured; and a safety management system covering node access, topology change and fault recovery full life cycle is constructed.

The invention discloses a transmission access method of a directional ad hoc network, relates to the field of wireless ad hoc networks, and is used for improving the total network throughput of the directional ad hoc network. The method comprises the following steps: planning multi-time-slot network operation parameters including time slot parameters, frequency parameters and spatial multiplexing parameters; s2, respectively loading the network operation parameters to each communication node; s3, starting each communication node to construct a time-synchronized self-organizing network, and regularly exchanging spatial position information among the communication nodes; and S4, under the management of a unified time slot timer, each communication node performs transmission access in time slots one by one according to the loaded network operation parameters. According to the invention, the network transmission efficiency of the directional ad hoc network can be improved, and the transmission delay is reduced.

Methods, systems, and devices for wireless communications are described for capability indications by a reduced capability user equipment (UE) and UE-based performance measurement parameter reporting or self-organizing network (SON) parameter reporting based on the capability indications. A reduced capability UE may transmit a set of capabilities to a base station that indicate various types of parameter reporting that are supported at the UE. The base station may identify the UE as a reduced capability device, and set one or more reporting parameters based on the indicated UE capabilities. The base station may provide a reporting configuration to the UE with the one or more reporting parameters, and the UE may provide reporting of measured parameters (e.g., performance measurement parameter reporting or SON parameter reporting) based on the reporting configuration.

A method performed by a first network node includes obtaining information associated with a self-organizing network (SON) report associated with a wireless device. The first network node determines that the information associated with the SON report is associated with a cell not served by the first network node. In response to determining that the information associated with the SON report is associated with the cell not served by the first network node, the first network node takes at least one action including deleting the information and / or transmitting the information to a second network node.

The application relates to a multi-network fusion gateway system supporting satellites, cellular networks and wide / narrow band self-organizing networks, which comprises a satellite communication module, a cellular communication module, a wide / narrow band self-organizing network module, a data processing module and a power management module; the satellite communication module is used for being communicatively connected with a satellite to receive and send satellite signals; the cellular communication module is used for being communicatively connected with a cellular network base station; the wide / narrow band self-organizing network module is used for constructing a self-organizing network in a local area to realize communication between nodes; the data processing module is used for uniformly processing data from the satellite communication module, the cellular communication module and the wide / narrow band self-organizing network module; and the power management module is used for managing and controlling power supply of the whole system; the application has the beneficial effects that the fusion of various communication networks can be realized, the communication demand in different scenes can be met, and the system power consumption is reduced.

The invention discloses a positioning method, system and device based on multi-vehicle cooperation in the Internet of Vehicles and a medium, and relates to the technical field of Internet of Vehicles positioning, and the method comprises the steps: judging whether a target vehicle is located in an anchor point coverage area composed of a plurality of UWB anchor points or not; if yes, based on the distance between the target vehicle and each UWB anchor point and the coordinate of each UWB anchor point, a spatial distance intersection algorithm is adopted to obtain the coordinate of the target vehicle; if not, judging whether the target vehicle can form a motorcade self-organizing network with the adjacent vehicle or not, and starting a multi-vehicle cooperative positioning mechanism; if yes, obtaining the coordinates of the target vehicle according to a multi-vehicle cooperative positioning mechanism based on identity authentication and key negotiation; the multi-vehicle cooperative positioning mechanism obtains a plurality of adjacent vehicle coordinates for the target vehicle through V2V communication, and the coordinates of the target vehicle are obtained according to the coordinates of the adjacent vehicles; and if not, obtaining the coordinates of the target vehicle by adopting an inertial measurement unit and a global positioning system. According to the invention, the safety and precision of vehicle positioning are improved through V2V cooperative positioning.

The invention discloses a tornado field unmanned aerial vehicle tracking method and system based on multi-mode perception and dynamic path planning and an unmanned aerial vehicle, and the method comprises the steps: integrating meteorological radar data, a satellite cloud picture and multivariate data collection equipment sensing information, combining reinforcement learning and a multi-target optimization algorithm, and planning an optimal tracking path; the unmanned aerial vehicle cluster works cooperatively with a self-organizing network through hierarchical formation, and realizes real-time measurement and minute-level data return of a three-dimensional wind field in a tornado core area by adopting local storage and satellite direct transmission dual channels. According to the tornado field unmanned aerial vehicle tracking method based on multi-modal sensing and dynamic path planning, the problems of low resolution, response lag and the like of a traditional detection means can be solved, and rapid tracking and accurate measurement of a tornado three-dimensional wind field are achieved.

The invention discloses a Beidou short message communication method and device based on a self-organizing network, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: constructing and maintaining a target low-power-consumption Bluetooth self-organizing network comprising a plurality of nodes, wherein each node can obtain and broadcast satellite communication reachability information of the node; when a target node needs to send a first Beidou short message and the target node cannot directly communicate with a Beidou satellite, determining a relay path to a Beidou satellite communication node based on satellite communication accessibility information in the target low-power-consumption Bluetooth ad hoc network; and according to the relay path, forwarding the first Beidou short message to a Beidou satellite communication node hop by hop by using a target low-power-consumption Bluetooth ad hoc network through the target node, so that the first Beidou short message is sent to a Beidou satellite through the Beidou satellite communication node. According to the technical scheme of the invention, the continuity and reliability of a communication link in a complex terrain or a mobile scene can be ensured.

The invention provides a 5G Internet of Things intelligent temperature and humidity detection system, and the system comprises a sensing collection module which collects a target environment temperature and humidity original signal, carries out the preliminary filtering and analog-to-digital conversion, and then uploads the signal through a self-organizing network; the main control processing module receives the digital signal, caches the digital signal, performs standardization processing, executes local threshold comparison and short-term trend pre-judgment, and generates a local control instruction; the 5G Internet of Things communication module uploads the processed data and the pre-judgment result, receives a cloud regulation and control instruction and forwards the cloud regulation and control instruction; the local display alarm module displays related data and states and executes alarm; the cloud data analysis and management and control platform module gathers multi-node time sequence data and analyzes and generates a regulation and control instruction containing a global risk assessment report and a regulation and control strategy; the invention aims to solve the problems of one-sided data processing, incomplete risk assessment, insufficient communication reliability and low intelligent degree of regulation and control in the prior art, realizes accurate monitoring of temperature and humidity, global risk pre-judgment and automatic regulation and control, and improves the accuracy and efficiency of environment management and control.

The invention relates to a data transmission method and device, electronic equipment and a computer program product, and belongs to the technical field of vehicle remote control. The method comprises the following steps: on a remote control terminal side, matching a remote control terminal with a self-organizing network where a vehicle terminal is located, and after matching succeeds, acquiring and displaying a link state of the self-organizing network and an initial state of the vehicle terminal; a transmission starting instruction is sent to the vehicle terminal, so that the vehicle terminal activates an image transmission function based on the self-organizing network; and acquiring a real-time environment image around the vehicle terminal sent by the vehicle terminal through the image transmission function and displaying the real-time environment image. According to the invention, the operator can stably obtain the vehicle state and the environment image beyond the safe distance, and the safety and reliability of the remote control process of the vehicle can be ensured.

A node of a network communicating via mobile ad hoc network (MANET) waveforms and incorporating internet protocol (IP) security (IPSec) measures includes a plaintext (PT) user system or host, ciphertext (CT) communications module including a radio system for transmission and reception via MANET waveforms, IPSec cryptographic units, and PT and CT convergence modules. IPSec units provide encryption and decryption of data traffic as well as cross-layer exchange between PT and CT convergence modules. PT convergence modules map output traffic and decrypted input traffic to CT capabilities and exchange reachability information (e.g., addresses of reachable nodes or systems) with counterpart PT convergence modules of peer nodes of the MANET. CT convergence modules converge encrypted input and output traffic based on CT capabilities.

The invention discloses a distributed relay protection secondary alternating current loop abnormity diagnosis method, and relates to the technical field of power system relay protection, edge diagnosis nodes with a self-organizing network function are deployed at key nodes of a secondary alternating current loop of a distributed relay protection system, and a distributed diagnosis network is formed; the edge diagnosis node collects multi-dimensional feature data of the secondary alternating current loop in real time through a multi-mode sensing unit, wherein the multi-dimensional feature data comprises electrical quantity features, waveform distortion features, time sequence features, environment features and the like; according to the method, distributed edge diagnosis nodes are deployed, multi-dimensional feature data of a secondary alternating-current loop are collected, the multi-dimensional feature data are preprocessed by the edge nodes and then uploaded to a block chain network for consensus verification, and abnormal accurate positioning and grading are achieved in combination with an improved deep learning model; the method effectively solves the problems that a traditional centralized diagnosis method is poor in real-time performance, weak in anti-interference capability and low in data credibility.

A method, performed by a wireless device (130). The method is for handling reporting. The wireless device (130) operates via a wireless communications network (100). The wireless device (130) sends (905) a report comprising information one or more of: pertaining, indicating, characterizing, about, one or more first measurements performed by the wireless device (130) on one or more radio signals, to a first network node (111) operating in the wireless communications network (100). The report is of one of Minimization of Drive tests and Self- Organizing networks. The report comprises an indication indicating that the one or more first measurements have been made with a wake-up receiver (WUR).

This invention provides a method and system for optimizing downhole communication links based on self-organizing networks, relating to the field of communication link technology. The method includes acquiring communication node information, constructing a network topology, and determining network characteristic parameters; constructing a link quality prediction model to evaluate link quality; performing dynamic network partitioning and establishing a node priority ranking table to select the optimal transmission path; and real-time monitoring of link status, triggering node self-organizing reconfiguration when necessary. This invention can improve the connectivity, stability, and transmission efficiency of downhole communication networks, reduce communication latency, and enhance the safety of downhole operations.

A method includes causing an electronic self-organizing network (eSON) general-purpose remote procedure call (gRPC) client to register a first cell in a communication network. The first cell is registered on an eSON gRPC server. The method also includes causing first information associated with the first cell to be processed by the eSON gRPC server to determine whether a mismatch exists between the first cell and a second cell in the communication network. The method further includes, in response to receiving a first message indicating the mismatch exists from the eSON gRPC server, sending a second message indicating the mismatch exists to an operational support system (OSS) to cause the OSS to generate a change request to be communicated to a network configuration controller for changing a network function implemented by a network device corresponding to one of the first cell or the second cell to resolve the mismatch that exists.

Apparatus and methods for assembling and deploying computing tasks using swarm intelligence are provided. A swarm intelligence network program may be installed on multiple automated teller machines (“ATMs”) within a geographical area. When one of the ATMs loses connectivity with its financial institution, the ATM may create an ad-hoc swarm intelligence-based network with the other ATMs. The ad-hoc network may include a distributed ledger. The ATM may determine that a customer request for a financial transaction is valid and complete the request and record the transaction on the distributed ledger. The ATM may use hardware and software resources from the other ATMs on the ad-hoc network.