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635 results about "Network Convergence" patented technology

Network convergence refers to the provision of telephone, video and data communication services within a single network. In other words, one company provides services for all forms of communication. Network convergence is primarily driven by development of technology and demand. Users are able to access a wider range of services, choose among more service providers. On the other hand, convergence allows service providers to adopt new business models, offer innovative services, and enter new markets.

Set top box with WIFI (Wireless Fidelity) module

The invention provides a set top box with a WIFI (Wireless Fidelity) module. The set top box comprises a set top box body, wherein an external USB (Universal Serial Bus) interface, a functional press key, a power supply indication lamp, a signal locking indication lamp and an SD (Secure Digital) card reader socket are arranged on a front panel of the set top box body, wherein heat dissipation holes are arranged in side plates of two ends of the set top box body; an output interface, a user interactive interface and a three-network fused interface are arranged on a rear terminal board of the set top box body; the set top box body is internally provided with a main control circuit; the main control circuit comprises a main chip, a WIFI module, a demodulator, a TS (Transport Stream) demultiplexing device, a multimedia decoder, a multimedia encoder, a flash memory, an inner memory and an input/output control circuit. According to the set top box disclosed by the invention, network transformation cost is saved and a plurality of networks are fused and accessed; meanwhile, a television program is played and Internet is accessed or three-screen interaction is realized; and after an intelligent terminal passes through WIFIAP (Wireless Fidelity Access Point) authentication in real time, the intelligent terminal can be subjected to intelligent interaction with the set top box; and the invention provides a more flexible and humanized operation manner for users.

Analogue circuit fault diagnosis neural network method based on particle swarm algorithm

The invention discloses a neural network method for diagnosing analog circuit failures which is based on a particle swarm algorithm, and comprises the following steps: imposing an actuating signal to an analog circuit to be tested, measuring an actuating response signal in the testing nodes of the circuit, extracting the candidate signal of failure characteristics by implementing noise elimination and then wavelet packet transformation on the measured actuating response signal, extracting the failure characteristics information by further implementing orthogonal principal component analysis and normalization processing on the candidate signal of failure characteristics, and sending the failure characteristics information as samples to the neural network for implementing classification. The method adopts the particle swarm algorithm instead of a gradient descent method in traditional BP algorithms, thus leading the improved algorithm to be characterized in that the algorithm avoids the local minimum problem and has better generalization performance. The BP neural network method for diagnosing the analog circuit failures which is optimized on the basis of particle swarm can obviously reduce iteration times in the algorithm, improve the precision of network convergence, and improve diagnosis speed and precision.

Photovoltaic array fault diagnosis and early warning method

The invention relates to a photovoltaic array fault diagnosis and early warning method comprising the following steps: combining an Elman nerve network optimized by a non-linear least square method and a decision tree with experience knowledge so as to form a fault diagnosis model; collecting present photovoltaic array operation data and meteorology data, and computing errors when compared with historical normal state data; using the fault diagnosis model to obtain the corresponding fault type and credibility when the error is bigger than a threshold; finally integrally evaluating so as to obtain the final fault type credibility, and selectively carrying out fault early warning according to the credibility values; updating a fault knowledge base according to the field actual measurement conditions. The method combines the LM-Elman nerve network and the decision tree with experience knowledge so as to built the fault diagnosis model, thus improving the history data sensitivity, providing better prediction effect when compared with a BP network, and improving the network convergence speed and training precision; the experience knowledge is supplemented, thus providing stronger robustness; the method can timely detect and diagnose, thus reducing fault incidence rate, and ensuring the photovoltaic power station to stably work.

Optical network self-adapting route system for low/middle orbit double-layer satellite and calculating method of agent route

The invention discloses an optical network self-adapting route system for a low/middle orbit double-layer satellite. The system is connected with a satellite-ground access segment by a space segment route, a middle orbit satellite managing layer consists of at least four manager satellites and a manager satellite, the manager satellites and the manager satellite manage a low orbit satellite route layer directly, and the low orbit satellite route layer consists of one main proxy satellite, four secondary proxy satellites and at least 8 ordinary satellites which are connected. The calculating method comprises topological parameters; determination of the life span report of the access to the middle orbit satellite by the low orbit satellite; main proxy node and link; link time delay among satellites; time delay report of the low orbit satellite; time delay report of the middle orbit satellite; wavelength usage rate business load; and the calculation of route cost function. The optical network of the double-layer satellite is divided into an access network with highly dynamic change and a space segment core network of periodic change, the access network takes charge of network convergence between the space segment and the ground network, and the space segment uses a laser link among satellites to relay until reaching a service target satellite.

Method of deep neural network based on discriminable region for dish image classification

The invention discloses a method of deep neural network based on a discriminable region for dish image classification. The method relates to the field of image processing, integrates a significant spectrum pooling operation, and fuses low-level features and high-level features in a network. The method adopts a convolution kernel filling operation, effectively preserves important information on characteristic spectra, and is matched with data dimensions of a full connection layer, so that the full connection layer can utilize a VGG-16 pre-training model at a training state, thereby improving the training efficiency and network convergence speed. Each image to be classified is subjected to normalization processing based on the model which is learned in a constructed database, the image is tested by using a trained convolutional neural network, the classification precision is measured by using Softmax loss, a classification result of the image is obtained, real categories and predicted categories of targets in all test images are compared, and a classification accuracy rate is obtained through calculation. The method is used for testing on a self-established data set CFOOD90, and theeffectiveness and the real-time performance of the method are verified.

An universal service platform for supporting multiple services based on multi-network fusion

The invention discloses a general service platform supporting multiple services and based on multi-network integration. The platform comprises a service access unit, a message processing unit, a service engine unit and a management unit, wherein the service access unit, which is connected with the communication network of each network operator and is used for the access of various communication services, provides protocol support and carries out data interaction with the message processing unit; the message processing unit, which receives the service request of the service access unit and judges the type of the request, calls the service instance inside the service engine unit; moreover, the message processing unit receives the service instruction sent by the service engine unit and transmits the service instruction to the service access unit; the service engine unit, which is used to provide operation support for each communication service, executes service according to the service call request sent by the message processing unit, and triggers a new service request according to the execution result; moreover, the service engine unit returns the new request to the message processing unit; the management unit is respectively connected with each unit to complete coordination management of each unit. The general service platform provides a common platform for each network operator to realize the integration of different network services; moreover, the platform is convenient for update and maintenance.

Intelligent collaborative cloud architecture based on data driving in universal network convergence scene

ActiveCN111371830AInsightEfficient data cleaningTransmissionNetwork ConvergenceInformation resource
The invention relates to an intelligent collaborative cloud architecture based on data driving in a universal network convergence scene, and the architecture comprises a data analysis layer which is used for the arrangement and mining of data, and forming a primary data product for the extraction of an artificial intelligence and expert system layer; the artificial intelligence and expert system layer is used for extracting the primary data product provided by the data analysis layer and carrying out deep processing as required; the inter-network platform layer is used for providing standard specifications of data and service intercommunication; the application platform layer is used for extracting general data products from the inter-network platform layer and carrying out architecture and industry generality service support; the APP and terminal application layer is used for sending a data acquisition application to the application platform layer and acquiring a data product requiredby a user from the application platform layer; the invention relates to the field of data acquisition and is used for acquiring multivariate heterogeneous data. The intelligent collaborative cloud architecture based on data driving in the universal network integration scene can effectively solve the practical problems of cross-industry and cross-domain information resource dispersion, low utilization rate, unsmooth communication and the like.

Intelligent cognitive wireless network system for realizing heterogeneous network convergence

InactiveCN102098799AImprove cognitive abilityImprove autonomous decision-making abilityWireless network protocolsNetwork ConvergenceFrequency spectrum
The invention discloses an intelligent cognitive wireless network system for realizing heterogeneous network convergence. New function entities with multi-domain active cognition, high-efficiency heterogeneous network resource management, and network or terminal reconstruction are added in the network elements of the existing wireless network system, namely, a cognitive information management module, an intelligent management module and a heterogeneous network convergence management module are added on a network side; a reconstruction management unit, a united wireless resource management & self-optimization unit, a cognitive information/knowledge base and cognitive information management module are added on a terminal side; four interactive interfaces, namely interfaces among operators, interfaces between the network side and the terminal side, interfaces among respective modules and interfaces among units inside the modules are arranged. Modules or units inside the modules realize information exchange via interfaces, and realize corresponding network functions jointly, so that the cognitive capacity, autonomous capacity and adaptive capacity of the network are extended, the intellectualization of network management is promoted, the efficient utilization of heterogeneous network convergence and system frequency spectrum is realized, and overall performance of the network is promoted.

System, device and method for multi-network integration

ActiveCN101741817AEnable unified accessEasy to useTransmissionNetwork ConvergenceDomain name
The invention discloses a system, a device and a method for multi-network integration. The system comprises an application gateway server and a unified account management server, wherein the application gateway server is used for resolving a domain name in an access request sent from a client to an application system, acquiring an authentication notification based on the acquired resolved address, and establishing a communication connection between the client and the application system based on the notification; the unified account management server is used for performing authentication on anaccount corresponding to the resolved address, and notifying the application gateway server if the authentication is passed. The method comprises the following steps of: resolving the domain name in the access request sent from the client to the application system, acquiring the authentication notification based on the acquired resolved address, and establishing the communication connection between the client and the application system. The system, the device and the method for the multi-network integration can overcome the defects of incapability of uniformly accessing and managing multiple networks, complex account application procedure, poor safety, low efficiency and the like to realize uniform access and management of the multiple networks, simplify the account application procedure,and improve the safety and the efficiency.

A system for charging control architecture based on network fusion policy and its processing method

The invention discloses a network amalgamation strategy charging control framework system and the processing method thereof. PCRF ensures PCC rules according to the QoS parameters and charging strategy that are authorized by business layer and the information about user signature; and provides the PCEF with the PCC rules. The PCEF, which acts as the interface between the PCRF and the PCC strategy execution entities and / or the PCC strategy execution entity, and carries on protocol transfer, information retransmission and / or strategy charging execution; the PCC strategy execution entity executes the QoS authorization of service data flow and the detection and charging of service flow according to the PCC rules; the invention proposes a practical feasible solution for the integration of WiMAX network with 3GPP / 3GPP2 network the PCC framework, realizes the strategy control and charging control of the WiMAX network on business by using the PCC framework, and resolves the problems about the integration of functional entities, like functional entities in the PCC framework, strategy charging entities SFA , DPF, the charged client terminal / charging agents and hometown agent HA of the WiMAX network. The invention has the proposal of a processing flow and amalgamation solution for the WiMAX network to use the PCC framework for realizing the strategy control and charging control on business.
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