14 results about "Service life cycle" patented technology

The invention relates to the technical field of data processing, in particular to a data asset total cost accounting method based on staged cost collection, and the method comprises the steps: firstly defining a full-service life cycle stage of data assets from collection, storage, processing to application; constructing an exclusive cost motivation library for each stage and establishing a mapping rule; collecting fine-grained resource consumption data through an automatic interface, and classifying and converting the fine-grained resource consumption data to corresponding stages according to rules; and finally, calculating the direct cost of each stage based on the motivation and the internal unit price, scientifically sharing the indirect cost, summarizing to obtain the total cost, and generating a staged cost view and report. According to the invention, the method achieves the spanning from the conventional accounting according to time or financial subjects to the precise cost accounting according to the data business value flow stage, can clearly reveal the specific distribution of the cost in the core links of data collection, processing, application and the like, and effectively solves a problem that the cost input of each business stage cannot be precisely accounting.

The application discloses a traffic management method under a service publishing platform and belongs to the technical field of cloud computing and micro services. The method comprises the following steps: based on the Kubernetes, the Endpoint resource is used to listen to the Pod readiness state, and the HTTP gateway route is dynamically updated; the health check and traffic control interface are exposed through the traffic management SDK, the traffic control metadata in the Nacos registration center is maintained and updated; the message middleware consumer information is acquired through the traffic management SDK, and the traffic suspension and recovery interface is exposed; the mapping relationship is maintained through the metadata configuration center, the service discovery request is intercepted and rewritten through the proxy SDK, and the request is forwarded to the target Nacos cluster. The application realizes the lossless traffic management of the whole service life cycle, the accurate traffic suspension in the running time and the cross-cluster calling.

The application discloses a method for predicting the service life cycle of a casing under the condition of ultra-deviation, and belongs to the technical field of oil and gas well engineering. The method specifically comprises the following steps: step S1, establishing a casing stress model under the condition of ultra-deviation; step S2, verifying the casing stress model under the condition of ultra-deviation through multi-physical field coupling; step S3, developing a simulation evaluation of casing dynamic corrosion; step S4, calculating the residual internal pressure strength, extrusion strength and tensile strength of the casing at the position of ultra-deviation; and step S5, establishing a casing service life cycle prediction model under the condition of ultra-deviation. The application not only provides a clear theoretical basis for wellbore repair decision and emergency response, but also provides a new method for predicting the service life of the casing in the non-safe service life, and lays a theoretical foundation for establishing the casing service life cycle under the condition of ultra-deviation.

The invention provides a trusted management system and method for a blockchain enabling AIGC service life cycle, and the system comprises a cloud edge collaborative blockchain which comprises a cloud server as a full node and an edge server which is used as a light node and is provided with an AIGC model; the AIGC model verification module is used for embedding a model watermark for each AIGC model when pre-training begins, and AIGC model verification is realized by extracting and comparing model watermarks contained in a training log of an on-chain consensus and a training log stored in an off-chain database; the AIGC service provider selection module is used for selecting an AIGC service provider for the user; and the AIGC product transaction module is used for establishing a state channel through the cloud edge collaborative block chain when the transaction between the AIGC service provider and the user begins, and realizing the atomic transaction between the AIGC service provider and the user by using the state channel.

The application discloses a kind of intelligent computing center computing power resource support elastic expansion ability method and device.Method includes: real-time monitoring the QPS index of Kubernetes cluster service, dynamically divides service state level after sliding window smooth data;Based on historical data and cluster load dynamically adjusts QPS threshold value;Perform hierarchical resource scheduling: HF service is dynamically expanded according to QPS and shrinks capacity, MF service keeps single instance, LF service releases instance and pre-caches resource to SSD node;Through queue state migration management service life cycle, combine LRU-LFU hybrid elimination strategy and disk pressure trigger mechanism to optimize cache;Device includes monitor, scheduler, router, three-level cache system, fault-tolerant processing unit, processor and memory;Three-level cache system is used to accelerate cold start, effectively shorten fault recovery time, solve AI big model loading delay, low resource utilization and cross-node scheduling problem.

The invention discloses a method for predicting the service life cycle of an over-well deviation well cementation casing, and belongs to the technical field of oil and gas well engineering. The prediction method specifically comprises the following steps: step S1, establishing a casing stress model under a super well deviation condition; s2, verifying the casing stress model under the super well deviation condition through multi-physics field coupling; s3, dynamic corrosion simulation evaluation of the casing is carried out; s4, calculating residual internal pressure resistance, extrusion resistance and tensile strength of the casing at the super well deviation position; s5, establishing a casing service life cycle prediction model under the super well deviation condition; the invention not only provides a clear theoretical basis for wellbore repair decision and emergency response, but also provides a new method for predicting the service life of the casing in the non-safe service life of the casing, and lays a theoretical foundation for establishing the service life of the casing under the condition of super well deviation.

The invention provides a method for predicting the service life of a welding structure of a reusable reentry capsule. The method comprises the steps that the yield strength and the tensile strength of materials in different areas of a welding part are obtained; according to the change rate of the yield strength and the tensile strength at different areas of the material relative to the base material, the influence coefficient of the intrinsic fatigue crack growth rate of the material is constructed; the influence coefficient of the intrinsic fatigue crack growth rate of the material is introduced into a Walker formula, and the crack growth rate under the influence of the welding technology is evaluated; and integrating the crack growth rate according to the known initial crack length and critical crack length of the welding structure to obtain the service life cycle number of the welding structure.

The application provides a kind of blockchain empowerment AIGC service life cycle's credible management system and method, the system includes: cloud edge collaborative blockchain, including as full node's cloud server and as light node's deployment with AIGC model's edge server;AIGC model verification module is used for embedding model watermark for each AIGC model when pre-training starts, realizes AIGC model verification by extracting and comparing the model watermark contained in the training log of on-chain consensus with the training log stored in off-chain database;AIGC service provider selection module is used for selecting AIGC service provider for user;AIGC product transaction module is used for establishing state channel through cloud edge collaborative blockchain when transaction starts between AIGC service provider and user, and the state channel is used to realize the atomic transaction between AIGC service provider and user.

The application discloses a service life cycle management method for computer software, relates to the technical field of service life cycle management, and constructs a heterogeneous graph based on original data of software services, takes various software service entity types of the heterogeneous graph as entity nodes, takes corresponding relations between entities as edges, processes the heterogeneous graph by adopting a network structure encoder, obtains a node representation matrix after network structure coding, filters the node representation matrix after network structure coding based on predefined node entity type labels, obtains a same-class node set, constructs a same-class neighbor subgraph based on a connection relation between nodes of the same-class node set and the heterogeneous graph, codes the same-class neighbor subgraph, obtains a node representation matrix after same-class enhanced coding, cooperatively optimizes the node representation matrix after network structure coding and the node representation matrix after same-class enhanced coding, obtains unified node representation, performs analysis and management, and obtains service life cycle management decision results.

The application discloses a traffic management method under a service publishing platform and belongs to the technical field of cloud computing and micro services. The method comprises the following steps: based on the Kubernetes, the Endpoint resource is used to listen to the Pod readiness state, and the HTTP gateway route is dynamically updated; the health check and traffic control interface are exposed through the traffic management SDK, the traffic control metadata in the Nacos registration center is maintained and updated; the message middleware consumer information is acquired through the traffic management SDK, and the traffic suspension and recovery interface is exposed; the mapping relationship is maintained through the metadata configuration center, the service discovery request is intercepted and rewritten through the proxy SDK, and the request is forwarded to the target Nacos cluster. The application realizes the lossless traffic management of the whole service life cycle, the accurate traffic suspension in the running time and the cross-cluster calling.

The invention belongs to the technical field of nuclear power, and particularly relates to a cloud video platform system supporting access of multi-source heterogeneous video equipment. According to the system provided by the invention, by standardizing the configuration file, the access difficulty and development cost of the new equipment / manufacturer platform are greatly reduced, and the access of the configuration is realized. Resources (CPU / MEM / GPU) are allocated as required based on accurate pre-estimation of configuration files and Kubernetes dynamic scheduling, so that waste is avoided; the HPA realizes automatic elastic expansion and contraction to cope with load fluctuation. A high availability mechanism built in Kubernetes and a strategy based on configuration are utilized to ensure high reliability and business continuity of video processing service. Platform resources and service life cycles are uniformly managed through Kubernetes, the automation degree is high, and the operation and maintenance complexity is reduced. And flexible addition of new equipment types, processing services and resource types is supported. The resource utilization rate is improved, and excessive configuration is reduced; and the labor cost is reduced through automatic operation and maintenance.

The application provides a process inter-network traffic tracking control method and system based on topology sniffing. The application adopts a traffic packet monitoring mode to track the traffic of different processes on different machines. The process inter-network topology in a distributed environment is outlined. Because the network technology at the bottom layer of the operating system is adopted, the application is independent of the language or framework of service development and the service life cycle management. The application also considers the challenges brought by the container technology, and through monitoring the port forwarding information specific to the container, the traffic topology of the processes in the container is also included in the observation range of the method. The application can quickly generate topology information, and is independent of the service deployment process, and can be closed at any time after the inter-service network traffic topology is outlined.

The invention provides a management system and method of an MCP client. The system comprises a multi-transport protocol module, a service life cycle management module, a configuration management module, a plug-in protocol management module and a tool and resource management module. The MCP client performs local communication and cloud communication through the multi-transport protocol module; the service life cycle management module is used for carrying out service adding operation, service editing operation, service restarting operation and service deleting operation on the MCP client; the configuration management module monitors the configuration file, and restarts all MCP service connections of the MCP client when detecting that the content in the configuration file changes; the plug-in protocol management module monitors the protocol plug-in file, and restarts the MCP service connection corresponding to the changed protocol plug-in file when detecting that the content in the protocol plug-in file is changed; and the MCP client calls tools and reads resources through the tool and resource management module. And the tool calling stability and efficiency are improved.

The application relates to the technical field of mechanical engineering and structural safety, and provides a design, manufacturing and service whole life cycle management method for equipment essential safety, damage accumulation is slowed down from the source in the design stage by introducing damage modes; in the manufacturing stage, the interlayer temperature in the welding process is controlled by regulating the welding heat input parameters and the forming process, so that the desired grain size is obtained, the strength-toughness synergistic improvement of the welding joint is realized, and the welding manufacturing is based on the life reliability; in the service stage, reliable detection of microdamage and microdefects is achieved through nonlinear ultrasonic microdamage detection; the application improves the deficiencies of the traditional equipment whole life cycle, such as rule design, experience manufacturing and passive operation, forms an essential safety guarantee mechanism, promotes the equipment to realize the change from passive maintenance to active prevention, improves the equipment whole life cycle reliability, and thus guarantees long-period continuous production of the equipment.