30results about How to "Implement life cycle management" patented technology

The invention discloses a component life cycle management method based on a device digital twin management platform, belonging to the field of intelligent manufacturing management of equipment in industrial enterprises, the concrete steps of the component life cycle management method based on the equipment digital twin management platform are to establish a component digital twin model with the component origin inside the entity, take a part as an assembly, create a digital twin of the device, determine the spatial coordinates of the parts in the digital twin of the equipment, and add the physical properties of the parts with the spatial coordinate values of the parts located in the internal space of the digital twin of the equipment. As the user of the invention remotely accesses the digital model of the device store on the server by the client, by interacting with the database, the model library can distinguish the information of components under different working conditions, and thedatabase records the information of any maintenance and replacement of the components, so as to realize the life cycle management of the components of large-scale equipment.

The invention relates to a layered MES software system architecture which comprises an upper-layer manufacturing management system and a lower-layer producing executive system, wherein, the manufacturing management system is connected with an upstream ERP system; the producing executive system is connected with a downstream PCS Process Control System; the manufacturing management system comprises a quality management module, a production management module and an operation plan management module; the producing executive system comprises an actual performance management module, a dispatch operation management module and a warehouse management module; and the connection between the manufacturing management system and the producing executive system is realized through a validity event process mode. The layered MES software system architecture has the advantages that the layered MES software system architecture is efficient, flexible and expandable; the efficiency of the producing organization management can be effectively improved; and various difficult problems in practical production management service caused by layer phenomenon are solved; and the layered MES software system architecture further has the advantages that the product quality can be effectively improved; the production cycle of the products is shortened; the output and the efficiency of the capital utilization are effectively increased; and the integrated production cost is reduced, thereby bringing great economic and social benefits to the enterprises.

The present invention provides a user account control method and system on the basis of multi-application systems. The method includes the steps as follows: establishing unified user data source on the basis of user ID and user identity information, and collecting user accounts of various application systems, wherein, the user accounts of various application systems are established on the basis of user ID; establishing a mapping relation of the user in the unified user data source and the account of the user in various application systems on the basis of user ID; and modifying the authority of the account of the user in the corresponding application system on the basis of the mapping relation, wherein, the authority modification of the account of the user in the application system includes authority permission, authority forbidden and authority revoke. The user account control method and system on the basis of multi-application systems can minimize the reform of various application systems so as to save huge costs for an enterprise; achieve the automatic controlling effect so as to improve the work efficiency; and strengthen the system resource authority controlling so as to ensure the information security.

The invention discloses an MEC system based on a container cloud platform. Infrastructure subsystem, The routing subsystem, the capability opening subsystem and the platform management subsystem are instantiated into container cloud platform applications, resource scheduling, operation monitoring and the like are achieved in an application mode, and MEC system lifecycle management based on the container cloud technology and user groups and enterprise appeals of modern network communication of rapid deployment, operation and maintenance and release are achieved. The invention provides a self-organizing cooperative technology between mobile intelligent equipment and an MEC system, and between the mobile intelligent equipment and the MEC system, the interaction between the mobile intelligentequipment and the MEC system adopts a self-organizing communication mode to realize distributed control and a centerless network structure, the identity correctness of two communication parties is ensured through an access authentication technology, and important network propagation contents are ensured not to be stolen. The invention provides an application collaborative migration technology between MEC systems, through the application collaborative migration technology, applications between container cloud platforms can be mutually migrated, and the integrity and the error-free performance of the applications are ensured.

The invention discloses an application arrangement and deployment method based on kubernetes. According to the method, based on a kubernetes cluster, application deployment is carried out by means ofa docker, and resource objects such as deployment, statefulset, service, ingress, secret, and configmap of kubernetes; and life cycle management of a program is achieved for the scheduling controllerof the cluster container by means of kubernetes. According to the method, various resource objects provided by kubernetes and used for container arrangement are integrated, the resource objects are jointly applied to solve the problems of application dependence, deployment environment, data persistence, capacity expansion and capacity shrinkage and the like, and meanwhile the arrangement steps anddifficulty of the application are greatly simplified.

The invention discloses a file configuration editing method and system in service deployment, and belongs to the field of cloud services. In order to solve the technical problems to be solved by the invention are that configuration parameters are inconvenient to edit and consult, the data error rate is high, and the working pressure of operation and maintenance personnel is high in complex projectengineering, the invention employs the technical scheme as follows: the method comprises the following steps: connecting a remote configuration file Git warehouse; after a Git command is received, through an interface API (Application Program Interface) of the Git command, closing partial files or all files in a remote warehouse to the local, modifying, combining or checking configuration parameters, and pushing a final configuration file to the remote Git warehouse by calling the API of the Git command to be used when service services are deployed. The method specifically comprises the following steps: remotely pulling a deployment script; operating the deployment file through a local browser; and performing automated submission of configuration files. The system comprises a script remote pulling and displaying module, a file deployment operation module, a configuration file automatic submitting module and an alarm log viewing module.

The invention discloses a machine learning model life cycle management system and method. In order to reduce repetitive work, systematically manage the model and achieve rapid online iteration of themodel, seamless connection from model creation to model deployment is achieved by modularization of life cycle service of the machine learning model, use of model service is guaranteed, and operationis convenient and rapid.

The invention provides an image retrieval method and system based on a memory image cluster, and relates to the technical field of image retrieval. The image retrieval method comprises the steps of adopting the HBase and Parquet files on the ElasticSearch and HDFS , and based on a memory cluster, carrying out distributed storage on the image data, and obtaining the persistent image data; managingthe persistent image data according to a preset number to obtain the image thermal data; performing node distribution on the image hot data according to a balanced distribution principle to obtain thehot data nodes; and distributing the retrieval requests to each hot data node in parallel through the first hot data node, so that the hot data nodes retrieve the image hot data to obtain the first target image data. According to the method and the system, the image searching performance with images can be improved on the condition of ensuring the accuracy.

The invention discloses a data set service container management method. The method comprises two parts of computing resource management and storage resource management. The computing resource management comprises management of a CPU (Central Processing Unit), a memory and network bandwidth, and the storage resource management comprises disk management. According to the method, reasonable management and control of basic resources can be realized, and unified management is performed on the whole cluster required by data analysis through server management, CPU management, memory management, storage management and network management based on a Docker container technology and a Kubernetes container scheduling technology, so that a basis is provided for stable and reliable operation of a big data platform.

The invention discloses a cloud native state secret key management method, which relates to the field of information security, and comprises the following steps: managing a secret key of a cloud platform and a secret key of a product on the cloud, calling a back-end service modulation bottom layer node according to a service request of a user, calling a Barbican component through the bottom layer node, and calling the Barbican component through the bottom layer node; modulating a KMS service by using a Barbican extension plug-in through a Barbican assembly, modulating different hardware devices adapted to a password facility through the KMS service, and obtaining specified key information to encrypt service storage data; and the management cloud product carries out message analysis of a service request according to the service request of a user, carries out service logic processing through an integrated SDK packet, modulates a KMS service, modulates different hardware devices adapted to a password facility through the KMS service, and obtains specified key information to carry out encryption operation on service application data.

The invention relates to the technical field of batteries and in particular relates to an early warning and diagnosis method of a lithium ion power battery. According to the method provided by the invention, an RFID (Radio Frequency Identification) protection plate, an RFID reader and a server application module are connected in sequence; the RFID protection plate is arranged in the power battery; the RFID protection plate comprises a main control module, a battery protection module, a high-frequency communication module and a low-frequency activating and weakening module; the RFID reader comprises a network accessing module, an RF (Radio Frequency) communication module and a low-frequency activating and weakening module. According to the method provided by the invention, the problems of safety protection, fault analysis and diagnosis and the like of the lithium ion power battery can be solved.

The invention relates to an operation realization method and system for communication credit investigation data and a storage medium. The method comprises the steps of obtaining communication source data provided by a communication operator, carrying out the data integration of the communication source data, and obtaining the credit investigation data; constructing a credit investigation service model according to the credit investigation data; obtaining to-be-realized credit investigation data, and inputting the to-be-realized credit investigation data into the credit investigation service model to obtain a credit investigation capability list corresponding to the to-be-realized credit investigation data; and packaging the credit investigation capability list to obtain a credit investigation realization product. According to the invention, the big data operation realization capability of a communication operator is provided, the operation requirements of existing big data are met internally, the strong requirements of banks, finance, government affairs and other industries for communication credit investigation data are met externally, the credit of users is enabled to create value, and the market vacancy is made up.