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4232 results about "Edge computing" patented technology

Edge computing is a distributed computing paradigm which brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth.

GIS device state intelligent monitoring system and method based on edge computing technology

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.
Owner:BEIJING XJ ELECTRIC +1

System and Apparatus for Network Conscious Edge to Cloud Sensing, Analytics, Actuation and Virtualization

The invention is method and apparatus for network conscious edge-to-cloud data aggregation, connectivity, analytics and actuation operate for the detection and actuation of events based on sensed data, with the assistance of edge computing software-defined fog engine with interconnect with other network elements via programmable internet exchange points to ensure end-to-end virtualization with cloud data centers and hence, resource reservations for guaranteed quality of service in event detection.
Owner:QAISAR SAAD BIN

A computing task unloading method based on edge computing and cloud computing collaboration

The invention provides a computing task unloading method based on edge computing and cloud computing collaboration. The computing task unloading method comprises the steps that variable parameters areset and initialized; Constructing respective time delay models and energy consumption models of the mobile terminal, the edge node and the remote cloud, obtaining a time delay expected value model and a total energy consumption model of the mobile terminal when the current task load is completely executed, and further obtaining a time delay expected value model and a total energy consumption model of all tasks in the total mobile terminal when the tasks are executed; Defining an optimal distribution problem and converting the optimal distribution problem into a convex optimization problem; And introducing a Lagrangian function to solve an optimal solution of task execution amounts of the terminal local machine, the edge node and the far-end cloud under the KKT constraint condition, so that each mobile terminal adjusts and executes according to the task execution amounts of the terminal local machine, the edge node and the far-end cloud, which are obtained by respectively and correspondingly solving the optimal solution. According to the implementation of the invention, the computing power and the power consumption limitation of the mobile terminal, the edge node and the remote cloud are comprehensively considered, and an optimal computing task unloading decision is realized.
Owner:SHENZHEN POWER SUPPLY BUREAU

Edge Compute Systems and Methods

An exemplary system includes a cloud server configured to provide a service to a client device by way of a network. The cloud server implements a batch layer of a data-processing architecture. The system further includes an edge computing device configured to provide a latency-sensitive task of the service to the client device by way of the network in response to a request from the client device to offload the latency-sensitive task. The edge computing device is separate from and communicatively coupled to the cloud server, is located at an edge of the network such that a latency of data communications between the edge computing device and the client device is lower than a latency of data communications between the cloud server and the client device, and implements a speed layer of the data-processing architecture at the edge of the network.
Owner:VERIZON PATENT & LICENSING INC

Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system

The invention discloses a delay and energy consumption-based efficient offloading method for a computing task of a mobile edge computing system. The method comprises the steps of building a macro basestation with multiple users and one deployment mobile edge computing (MEC) server and a single-cell cell model of a small base station without an MEC server; then building a mathematical model basedon a wireless communication theory; and finally, designing a delay and energy consumption-based efficient offloading solution for a computing task of the MEC system through a parallel greedy algorithm, and analyzing and providing the performance of the solution. Compared with existing efficient energy consumption offloading solution, the method well weights the delay sensitive demand and energy consumption demand of a terminal user, and lowers delay and total energy consumption of the system.
Owner:BEIJING UNIV OF TECH

Intelligent Edge Computing Platform with Machine Learning Capability

An edge computing platform with machine learning capability is provided between a local network with a plurality of sensors and a remote network. A machine learning model is created and trained in the remote network using aggregated sensor data and deployed to the edge platform. Before being deployed, the model is edge-converted (“edge-ified”) to run optimally with the constrained resources of the edge device and with the same or better level of accuracy. The “edge-ified” model is adapted to operate on continuous streams of sensor data in real-time and produce inferences. The inferences can be used to determine actions to take in the local network without communication to the remote network. A closed-loop arrangement between the edge platform and remote network provides for periodically evaluating and iteratively updating the edge-based model.
Owner:JOHNSON CONTROLS TYCO IP HLDG LLP

Virtual network function deployment method, device and system adopting NEC (network edge computing)

The invention discloses a virtual network function deployment method, device and system adopting NEC (network edge computing) to reduce service delay and improve service quality. According to the method, a central VNFC (virtual network function component) receives first position information sent by a user terminal, then transmits a creation request message used for creating an edge VNFC to a VNFM (virtual network function manager) and creates the first position information carried in a first request message; the VNFM transmits the first request message used for creating a virtual machine or container of the edge VNFC to a VIM (virtualized infrastructure manager) after receiving the creation request message, and the first request message carries the first position information and a mirror image of the edge VNFC; the VIM determines an edge server on the basis of the first position information and deploys the edge VNFC on the edge server on the basis of the mirror image of the edge VNFC. Accordingly, the deployment position of an edge NFC (network function component) in an NEC scene approaches the position of a user, service delay is reduced, and the service quality is improved.
Owner:HUAWEI TECH CO LTD

An industrial Internet of Things system based on edge computing and a data processing method thereof

The invention discloses an industrial Internet of Things system based on edge computing, and the system comprises a data collection module, an edge gateway, and a cloud processing platform; the data collection module is used for collecting the original data of a field device; The edge gateway is used for converting the original data into standard data, carrying out real-time analysis on key data in the original data, carrying out real-time intelligent processing on the field equipment according to an analysis result, carrying out classified packaging on the standard data, carrying out protocolconversion on the standard data, and sending the standard data to the cloud processing platform; And the cloud processing platform is used for carrying out data analysis, system monitoring and energymanagement according to the data from the edge gateway, and sending a data analysis result to a corresponding Internet of Things application. Through the edge gateway, the data transmission cost canbe effectively reduced, and the real-time decision and response of the key service can be ensured; By utilizing the powerful management capability of the cloud platform, mass data access is supported,a safe and reliable message processing capability is provided, and enterprises are assisted to integrate value chains and quickly construct innovative Internet of Things services.
Owner:SHENZHEN COMTOP INFORMATION TECH

Fine granularity real-time supervision system based on edge computing

The present invention relates to the field of security technology, and in particular to a fine granularity real-time supervision system based on edge computing. A fine granularity real-time supervision system based on edge computing is provided, comprising: an intelligent video monitoring device, an edge computing module, an edge computing node, and a cloud computing center. The system can reduce the redundant information of the system and realizes fine granularity management.
Owner:ESSENCE INFORMATION TECH CO LTD

Deep learning computing system and method for cloud terminal edge computing fusion

The invention discloses a deep learning computing system and method for cloud terminal edge computing fusion and relates to the fields of cloud computing, edge computing and artificial intelligence technology. According to the method, deep learning computing is distributed to a cloud terminal, a pipeline and an edge side, the cloud terminal is responsible for basic model training of a large historical data computing quantity, personalized model distribution is performed according to the demand of the edge side, nodes from the cloud terminal to the edge side deploy a deep learning model after learning, the deep learning model is used for completing inference, the edge side continuously feeds back an inference result, and then the inference result is uploaded to the cloud terminal to continuously optimize the model. Compared with the traditional mode that training and inference are both performed on the cloud terminal, in the whole deep learning computing process, the computing model iscontinuously optimized, personalized model distribution is performed according to the demand of the edge side, bandwidth is effectively utilized, network transmission efficiency is guaranteed, and real-time service execution efficiency is improved.
Owner:INSPUR GROUP CO LTD

Industrial big data monitoring system based on edge computing

The invention discloses an industrial big data monitoring system based on edge computing. The system comprises a data source layer, an edge layer, a platform layer and an application layer. The data source layer collects heterogeneous data information through various Internet of Things technologies and transmits the data to the edge server through a short-distance communication technology. The edge layer specifically analyzes and processes the real-time data acquired by the data source layer on the edge side, extracts high-value data and transmits the high-value data to the platform layer. theplatform layer mainly utilizes a cloud computing platform to realize the functions of industrial data analysis, data storage and the like on the data transmitted by the edge layer. The application layer is used for providing related software services based on the platform layer and displaying the information to a user through user terminal equipment. According to the invention, the problems of large platform load, low data processing efficiency, high network time delay, low security and the like of a traditional data monitoring system based on a cloud computing platform in an industrial dataviolence environment are mainly solved.
Owner:HOHAI UNIV CHANGZHOU

Transformer substation electrical equipment comprehensive physical examination system based on cloud side end collaborative perception

The invention relates to a transformer substation electrical equipment monitoring, analyzing and processing system and particularly relates to a transformer substation electrical equipment comprehensive physical examination system based on cloud side end collaborative perception. The system is characterized in that multi-node detection and unified perception access are realized through an integrated communication network architecture on the edge side of a station end, an intelligent sensing terminal is comprehensively covered in real time. Meanwhile, local intelligent data processing is realized by utilizing an edge computing technology; an omnibearing intelligent diagnosis and analysis system of the transformer substation is constructed at a cloud end, and multiple functions such as abnormal real-time early warning and intelligent sensing prediction are realized, so that the real-time tracking of the operation state of the power equipment of the transformer substation is realized. Themethod has the advantages that the transformer substation can be covered, monitoring data can be comprehensively utilized, an intelligent processing scheme can be provided, construction of the intelligent transformer substation is promoted, and the intelligent evaluation and safety early warning level of the electrical equipment state of the transformer substation is improved.
Owner:STATE GRID INFO TELECOM GREAT POWER SCI & TECH +2

Privacy protection method in face authentication system based on edge calculation

The invention belongs to the technical field of privacy protection in cloud computing and discloses a privacy protection method in face authentication system based on edge calculation. The method comprises the steps that: a camera collects a face image and uploads the face image to a connected edge computing node, an authority assigning mechanism sends a permission vector Li of a user to the edgecomputing node after collecting user face information, an edge computing device carries out feature extraction on a face image of a user requesting registration to obtain a feature vector by using a method based on a deep convolutional neural network, a safe nearest neighbor algorithm is performed to encrypt the feature vector of a registered user, and a secret sharing homomorphic algorithm is performed and n sub-secrets are generated according to the feature vector and are distributively stored in n edge computing devices. The direct upload of sensitive data to a cloud server is avoided, theprivacy of the face data is protected, and the fault tolerance of a system is improved. Results prove that the accuracy of face recognition under a ciphertext of the present invention is completely equal to the accuracy of face recognition under a plaintext.
Owner:XIDIAN UNIV

Internet of things terminal secure access method and system based on edge computing

The invention discloses an Internet of things terminal secure access method and system based on edge computing. The method comprises the steps that an edge computing device carries out radio frequencyradiation signal collection on each legal sensing device, thereby obtaining collection results; the edge computing device preprocesses each legal device signal, removes outliers and carries out datanormalization on collected signals of each time; the edge computing device generates features through utilization of the normalized data, extracts feature vectors to generate feature data sets and transmits the feature vector sets to a cloud server; and the cloud server selects a classification algorithm to generate a data model, trains the data model according to the feature data sets and transmits an obtained decision-making model to the edge computing device. According to the method and the system, the data processing and access judgment are carried out at the edge computing side, and the method and the system are applicable to an Internet of things device interconnection scheme with limited resources and have the advantages of low computing complexity and high authentication accuracy.
Owner:CERTUS NETWORK TECHNANJING

Embedded event processing

Techniques for embedded event processing are provided. In some examples, instructions for executing at least a subset of complex event processing features may be received. A stream of events received by the edge computing device may be identified. Additionally, the events of the stream utilizing the subset of complex event processing features may be processed. Further, in some aspects, the processed events may be provided to a complex event platform of a server.
Owner:ORACLE INT CORP

Automatic driving automobile intelligent road system

PendingCN111367292AImprove perception decision-making control abilityImprove securityPosition/course control in two dimensionsVehiclesData packDecision control
The invention relates to an automatic driving automobile intelligent road system, which comprises an equipment layer, an edge computing layer and a cloud computing layer. An intelligent driving automobile of the equipment layer intelligently sends acquired related information to the edge computing layer. The edge computing layer comprises a plurality of roadside units arranged along a road. Each roadside unit comprises an edge computing server, and the edge computing server performs data distribution processing on received information to generate a first data packet and a second data packet, locally stores the first data packet and uploads the second data packet to the cloud computing layer. The cloud computing layer comprises a cloud server. The cloud server performs macroscopic data processing according to the second data packet to generate a global road planning and macroscopic traffic scheduling instruction, and sends the global road planning and macroscopic traffic scheduling instruction to an edge computing layer, so that the edge computing server generates the regional traffic planning auxiliary instruction and sends the regional traffic planning auxiliary instruction to theintelligent driving automobile, the intelligent driving automobile generates an automatic driving control strategy, automobile-road coordination is fused, and the automobile perception decision control capability is improved.
Owner:特路(北京)科技有限公司

Multiple unmanned aerial vehicles navigation optimization method and multiple unmanned aerial vehicles system using the same

According to a technical aspect of the invention, there is provided a multiple unmanned aerial vehicles navigation optimization method is performed at a ground base station which operates in conjunction with unmanned aerial vehicles-base stations which are driven by a battery to move and cover a given trajectory point set, the multiple unmanned aerial vehicles navigation optimization method including: calculating an age-of-information metric by receiving an information update from the unmanned aerial vehicles-base stations through communication, when the ground base station is present within a transmission range of the unmanned aerial vehicles-base stations; setting conditions of a trajectory, energy efficiency, and age of information of each of the unmanned aerial vehicles-base stations; and executing Q-learning for finding a trajectory path policy of each of the unmanned aerial vehicles-base stations, so as to maximize total energy efficiency of an unmanned aerial vehicles-base station relay network to which the energy efficiency and the age of information are applied.According to the invention, the following effects are obtained. Age of information (AoI) that is a new matrix used to measure up-do-dateness of data is set, an edge computing environment for a remote cloud environment is provided by using the AoI, and a computing-oriented communications application can be executed by using the edge computing environment.
Owner:UNIV IND COOP GRP OF KYUNG HEE UNIV

Industrial data detection block chain network architecture based on edge computing and detection method

The invention discloses industrial data detection block chain network architecture based on edge computing and a detection method, and belongs to the field of industrial data detection. The block chain network architecture comprises Internet of things, a block chain network, an edge server and an external network. A public chain is introduced, so that every citizen can join the public chain as a block chain node to maintain the block chain network, and access the block chain network as an access node at the same time. Meanwhile, edge computing is introduced, and services are provided for the block chain nodes by means of the computing power of the edge server to solve the problem of incapability of detecting acquired data due to inadequate computing power of certain block chain nodes, thereby detecting the authenticity and reliability of the acquired data, and preventing bad manufacturers from tampering with data and harming social interests. At the same time, an intelligent contract access mode is introduced, thereby enabling enterprises to automatically execute intelligent contracts, preventing bad enterprises from defaulting fines, and improving the enforcement of supervision after out-of-standard emission.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Learning-based low-delay task scheduling method in edge computing network

ActiveCN109976909ASpecific goal optimizationResource allocationLearning basedEdge computing
The invention discloses a learning-based low-delay task scheduling method in an edge computing network, and aims to solve the problem that a heuristic algorithm is easily influenced by environmental changes and is difficult to design in an existing task scheduling method, and a task scheduling scheme is designed by using a reinforcement learning technology. Decisions made by the system in resourcemanagement are generally highly repeated, so that a large amount of training data can be generated for an RL algorithm. Next, the RL may model the decision policy of the complex system into a deep neural network. And through continuous interactive learning with the environment, a specific target (minimum delay) can be optimized.
Owner:CENT SOUTH UNIV

A task unloading method based on user experience in edge computing network

The invention discloses a task unloading method based on user experience in an edge computing network. The method comprises the following steps: a scheduler receives a task unloading request submittedby a user; a task unloading strategy model is jointly optimized based on time and energy expenditure; the model is solved and calculated based on a branch and bound algorithm of linear reconstruction; the task unloading strategy model is optimized based on time and energy expenditure. Based on the results of the calculation, the decision is made whether the task is unloaded to the edge server, and the tasks unloaded to the edge server are communicated and the computational resources are allocated. The invention combines two key indexes of optimization time delay and energy consumption, and solves the problem by branch and bound algorithm based on linear reconstruction technology, which can reduce the energy consumption of mobile intelligent device under the condition of ensuring the completion of the task, reduce the task processing time delay, and achieve the purpose of maximizing the optimization of user experience.
Owner:CENT SOUTH UNIV

Dynamic resource allocation method based on evolutionary game in mobile edge computing system

The invention discloses a dynamic resource allocation method based on evolutionary game in a mobile edge computing system. The method comprises the following steps that (1) a network is divided into a plurality of areas according to the network coverage condition, accessible service points in the areas are different, and a centralized controller is arranged in the network; (2) terminals with the task unloading need in the same area form a population, and the terminals in the population establish task unloading cost functions; (3) all terminals in each population randomly select accessible SPs in an SP selection strategy set; the evolutionary game is established in each population in the network; (4) the terminals in each population compute task unloading costs and send the SP selection strategies and the cost information to the controller; (5) the population carries out SP selection strategy update according to dynamic copy; and (6) the dynamic copy reaches evolution equilibrium. The method fully utilizes the computing resources and the radio resources of the SPs, aims at the equal task unloading costs of all terminals in the populations and meets the task unloading need of each mobile terminal based on the evolutionary game.
Owner:SOUTHEAST UNIV

Production line control system and method based on digital twinning, and production system

InactiveCN109933035ASupport remote data accessSupport commandTotal factory controlProgramme total factory controlProduction lineControl system
The invention discloses a production line control system based on digital twinning, and the system comprises a data collection subsystem which collects the current operation state data of a productionline in real time; a virtual twinning control subsystem which is used for generating a digital twinning model representing physical equipment at each station of the production line according to the historical operation state data of the production line and the current operation state data of the production line; a data analysis subsystem which generates new operation state data according to a recommendation algorithm, the historical operation state data of the production line, the current operation state data and the target operation state data of the production line. The digital twinning model simulates the operation state of the production line according to the new operation state data, and the data analysis subsystem is further used for finally generating optimal operation state data according to a simulation result of the digital twin model. The system also comprises an edge computing gateway which is used for realizing data interaction between the virtual twinning control subsystem and the data acquisition subsystem.
Owner:CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI

Computing task unloading system and method

The invention provides a computing task unloading system. The computing task unloading system comprises a mobile edge computing server, a user terminal and a communication network; the mobile edge computing server undertakes the computing task unloaded by the user terminal, and the user terminal unloads the computing task to the edge computing server for running through a communication network bya computing task unloading method. The calculation task unloading method provides a calculation task unloading model, a calculation task unloading decision non-cooperative game model is formulated based on the calculation task unloading model, and a calculation task unloading game method based on the game theory principle is formulated through the non-cooperative game model so as to obtain the calculation task unloading method. According to the system and the method, the energy consumption and the time delay of computing task unloading of each user terminal are jointly optimized, and a Nash equilibrium solution for minimizing the energy consumption and the time delay of computing task unloading of each user terminal is found.
Owner:HUNAN UNIV

Edge computing method for 5G ultra-dense networking scene

The invention belongs to the technical field of the communication 5G and the edge computing, specifically an edge computing method for a 5G ultra-dense networking scene. The basic thought of the invention is to provide the edge computing service for a cellular user of a microcell by placing a MEC sever at a small base station; and meanwhile, the cellular user can select the cloud computing service connected with a macro base station according to the feature of the to-be-executed task. The edge computing method disclosed by the invention has the advantages that the user can select the most suitable computing service, and the delay performance is improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Mobile edge computing node selection method, device and system

ActiveCN110198363AImplement the selection mechanismTransmissionDomain nameEdge computing
The invention relates to the field of mobile communication, and particularly relates to a mobile edge computing node selection method, device and system. the method comprises: the edge cloud gateway receiving a domain name request forwarded by the user plane function, wherein the domain name request is forwarded when a domain name in the domain name request sent by the terminal is analyzed by a user plane function to be a service acceleration domain name or a destination address is an IP address with global load balance; or forwarding the domain name request when the user plane function determines that the protocol port information in the domain name request sent by the terminal meets the protocol port requirement or the destination address is an IP address with global load balance; and obtaining a corresponding edge application VIP from the global load balance, sending the VIP to the terminal through the user plane function, receiving a service request sent by the terminal forwarded by the user plane function, and distributing the service request to the corresponding MEC processing server. An edge cloud gateway is newly added, DNS and HTTP DNS addressing scenes are compatible, edge computing nodes are selected nearby, and the purpose of edge acceleration is achieved.
Owner:SHENZHEN TENCENT COMP SYST CO LTD

LORA Internet-of-Things environmental data collection and cochain implementation method based on edge computing and blockchain

The present invention provides a LORA Internet-of-Things environmental data collection and cochain implementation method based on edge computing and a blockchain, belonging to the related field of Internet-of-Things data collection and storage. The mechanism provides a feasibility method capable of overcoming the problem or at least partially solving the problem. The implementation system architecture of the method comprises the following steps of: achieving blockchain data and at least one LORA edge gateway communication by a server; allowing the LORA networking technology to meet the accessdemand of a lot of edge devices in an Internet-of-Things environment with low cost; employing an embedded microprocessor to achieve edge computing, performing preprocessing of the obtained environmentdata to reduce the calculated amount of the data processing and analysis, improve the calculation efficiency, reduce the network transmission load, reduce the network transmission delay and save theenergy consumption; and employing the blockchain storage technology to ensure the credibility and the safety of data storage.
Owner:BEIJING UNIV OF TECH

Dynamic migration method of video tasks in edge computing environment

The invention discloses a dynamic migration method of video tasks in an edge computing environment. Multiple ECNs (Edge Compute Nodes) are selected in an ECN cluster under the edge environment to runa task scheduling migration scheduler to be responsible for distribution and scheduling work of the tasks, and the other ECNs in the cluster undertake task migration work and provide computing resources. The computing task migration scheduler executes task migration decision in each scheduling cycle to determine whether the tasks are executed locally in the ECNs or migrated to a data center, and tasks needing to be migrated to the data center are directly sent to a task execution unit of the remote-end data center through an ECN transmission unit for analysis processing. According to the method, the tasks are dynamically scheduled and processed on the basis of meeting network bandwidth and calculation costs, goals of reducing transmission time delay of edge data and improving task analysisprocessing speed are achieved, thus low delay time and high response of a task migration process are effectively guaranteed, and video service experience of users is improved while higher video service quality is realized.
Owner:NANJING UNIV OF TECH

Machine learning training system and method based on edge cloud computing

The invention discloses a machine learning training system and method based on edge cloud computing. A user terminal continuously collects new data expansion and optimal training samples, an output model is trained by a machine learning platform, the trained output model is quickly issued to the user terminal, the user terminal collects the application status of the model and feeds back to the machine learning platform to complete the retraining of the model, a virtuous circle is formed to continuously improve the training ability of the machine learning platform and model accuracy, computingresources are closer to users, and rapid deployment and unified management of the machine learning platform is achieved with the help of resource pooling and resource management capabilities of a cloud computing platform.
Owner:山东怡然信息技术有限公司

Edge computing privacy protection system and method based on joint learning

The invention discloses an edge computing privacy protection system and method based on joint learning. The system comprises a client and a server, the client is used for local training, adding disturbance to updated parameters, encrypting the updated parameters and sending the encrypted parameters to the server, and the server receives encrypted data sent by the client, decrypts the encrypted data and updates local parameters to update a deep learning model; the protection method comprises the following steps: step 1, adding disturbance to parameters at a client; step 2, encrypting the data at a client; and step 3, decrypting the data at the server. According to the method, each participant can safely submit data on the premise of not needing any trusted aggregator; noise disturbance is added to local updating in a distributed mode, updating of the disturbance is encrypted through a Paillier homomorphic cryptosystem, safety and performance analysis shows that the PPFL protocol can guarantee privacy of client data and learning accuracy at the same time, and the conflict problem of privacy protection and learning accuracy is solved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Internet of things networking system and method based on edge computing

The invention discloses an Internet of things networking system and method based on edge computing. The method comprises the following steps that: terminal equipment transmits scene data to intelligent gateway equipment, wherein the scene data include numerical data collected by a sensor as well as streaming media data collected by a pickup and the camera; the intelligent gateway equipment performs service processing on the received scene data, and is responsible for uplink and downlink data transmission; and a data aggregation platform receives periodically reported data from the intelligentgateway equipment and stores the received data in a database for an intelligent algorithm platform to train and optimize an algorithm file, wherein the algorithm file is used for updating an intelligent decision module of the intelligent gateway equipment to optimize service scenes. The scheme realizes the edge computing of the service scenes through the intelligent gateway equipment, thereby effectively improving the processing efficiency and real-time performance. In conjunction with the updating of a service algorithm module of an intelligent gateway, flexible adaptation to the service demands and environmental changes of different scenes can be realized, and the flexibility of the intelligent gateway is improved. When a center or network fails, normal operation of terminal scene services can be ensured, thereby achieving relatively high practical and popularization value.
Owner:王顺志
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