Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

61 results about "Model synchronization" patented technology

Dual-system-based graph-model data management method for power distribution network

The invention discloses a dual-system-based graph-model data management method for a power distribution network. The method comprises the following steps of firstly, creating a debugging system and an operating system, before graph-model data are published, starting a model checking tool, and sequentially performing static verification and dynamic verification on a model in the current debugging system; secondly, after the model passes the verification, starting a model publishing tool, and synchronizing graph-model solid data of a commercial library layer according to a model export/comparison technology based on a fragmentation technology, a model synchronization technology based on a model cluster and a remote service access technology; thirdly, performing real-time library row-level dynamic updating in a messaging mode to achieve the seamless soft switching of side models of the operating system, and backspacing the graph-model data of the debugging system by virtue of the reverse synchronization of the graph-model solid data. According to the method, the correctness of the model can be guaranteed to the greatest extent, the real-time operating system cannot be influenced in the model publishing process, non-disturbance model updating is realized, and the operating reliability and the operating continuity of an on-line system are guaranteed.
Owner:NARI TECH CO LTD +2

Component business model for developing application of modeless documental database

The invention discloses a component business model for developing the application of a modeless documental database. The component business model comprises a modeless data storage layer business component, a business logic business component and a user interface layer business component. The modeless data storage layer business component comprises a collection component and a document attribute component. The business logic business component comprises a data operation business logic component, a page orientation business logic component and a code weaving business logic component. The user interface layer logic component comprises a window component, a unit component and an element component. The problem that the modeless database application software is low in developed efficiency is solved. The component business model is directly operated to replace the traditional fussy processes of software debugging, releasing and deployment. Developers only need to describe and model system businesses by the business component of the modeless database, Web page files are obtained by model conversion and model synchronization, and the Web page files, the business component and a model execution engine finally form Web application software executable.
Owner:UNIV OF JINAN

Universal software product line domain model and application model synchronization method

ActiveCN103279347ASupport for evolutionary synchronizationSynchronization supportedSpecific program execution arrangementsDomain modelApplication engineering
The invention belongs to the technical field of software development and particularly relates to a universal software product line domain model and application model synchronization method. According to the method, the expression and the synchronization operation of domain models and application models of different types are abstracted in advance, a universal meta model is concluded through the domain models, and a set of fusion and transmission rules aiming at model changing based on the meta model is concluded through the application models. On the basis of the universal meta model and the universal synchronization rules, a universal model synchronization mechanism is provided for the domain models and the application models of different types in a software product line, the mechanism supports automatic model changing identification, fusion and transmission, and meanwhile corresponding synchronization operation options are provided for a domain engineering team and an application engineering team of the software product line in a synchronization process. When the method is used, only a model converting program between a model of a certain type and the universal expression form of the model needs to be compiled, and evolution synchronization aiming at the newly-introduced model of the certain type can be supported.
Owner:FUDAN UNIV

Block chain cross-chain-based federated learning method and device

The invention discloses a block chain cross-chain-based federated learning method and device, and the method comprises the steps: carrying out the training of a federated learning model through local data in a single block chain network, and transmitting model parameters to a model aggregation smart contract through a private transaction, thereby achieving the aggregation of different node model parameters in a single chain, synchronizing model parameters at each node; the model aggregation smart contract sending the latest model parameters to a cross-chain network through cross-chain private transaction to realize model synchronization between different chains. In the whole process, data of a single network node and data of a cross-chain network node are not exchanged, it is ensured that model parameters of each node are not leaked through a private transaction mode, training of different node data of different block chain networks on a federated learning model is achieved while data privacy security is ensured, a trained data set is expanded, and the accuracy of the model is improved. An integral mechanism is adopted to improve the enthusiasm of each member to contribute to a data training model, and the model training effect is further improved.
Owner:CHINA ZHESHANG BANK +1

Main-standby scheduling model data synchronization method for electricity SCADA (supervisory control and data acquisition) system

The invention provides a main-standby scheduling model data synchronization method for an electricity SCADA (supervisory control and data acquisition) system. The method includes that (1), when model data are changed, a main scheduling system sends a model synchronization request to a standby scheduling system; (2), when detecting the model synchronization request, the standby scheduling system receives the model synchronization request of the main scheduling system; (3), the main scheduling system writes the model data into a server of the standby scheduling system and performs model synchronization process tracking; (4), the standby scheduling system feeds back synchronization information to the main scheduling system, and the main scheduling system writes the synchronization information into a log after tracking the synchronization information. The main-standby scheduling model data synchronization method has the advantages that automatic synchronization of the model data of the main scheduling system and the standby scheduling system is achieved, and the model data, generated and stored on the basis of definition and instantiation, of the main scheduling system can be safely synchronized to a model database of the standby scheduling system in real time, so that simplicity and convenience in user maintenance are improved, maintenance cost is reduced, and date security is enhanced.
Owner:STATE GRID CORP OF CHINA +2

Method and apparatus for distributed training of machine learning model

The invention relates to a method and apparatus for distributed training of a machine learning model. The method comprises the following steps of: in a preset number of iteration steps of distributedtraining, obtaining the sequence of the current iteration steps, the preset number and the N being in a logarithmic relationship; based on the sequence, obtaining one node from the N nodes as a targetnode of the current node in the current iteration steps; communicating with the target node to obtain model information shared by the target node; updating the machine learning model of the current node according to the model information of the current node and the model information of the target node, so as to synchronously obtain the model information of the N nodes by the machine learning model of each node after completing the preset number of iteration steps. According to the method and apparatus of the embodiments, the convergence efficiency of distributed training can be ensured; meanwhile, the communication traffic of a single node can be reduced to S, and the effect of shortening the communication time is achieved; in addition, each node only shares information with its respective target node, so that the load balance among the nodes can be ensured.
Owner:BEIJING DAJIA INTERNET INFORMATION TECH CO LTD

Automatic generation control (AGC) information synchronization method and system between heterogeneous scheduling automatic main and backup systems

The embodiment of the present invention discloses an AGC information synchronization method and system between heterogeneous scheduling automatic main and backup systems. According to the present invention, the AGC model synchronization of a main scheduling side and a backup scheduling side is realized by a model file, the operation information synchronization is realized by a universal message form, and the technical problem in the prior art that the main and backup systems are a heterogeneous system of different manufacturers by using a database and a manually operated message cross-system to synchronize, is solved. The method of the embodiment of the present invention comprises the steps of receiving the model file corresponding to a main scheduling side AGC model after the maintenance and the first verification; importing the main scheduling side AGC model corresponding to the received model file to a backup scheduling side AGC maintenance base, then carrying out the second verification on the main scheduling side AGC model in the AGC maintenance base and publishing the AGC model after the second verification to a backup scheduling side AGC operation base; receiving an operation message corresponding to the main scheduling side operation information and operating correspondingly according to the operation message.
Owner:POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products