91results about How to "Realize full lifecycle management" patented technology

The invention discloses a heterogeneous and integrated hybrid cloud resource management platform, comprising a cloud management platform which is a window for a user to interact with an infrastructureas a service (IAAS) layer platform and is connected with an infrastructure as a service layer; and the infrastructure as a service layer which is used for docking with the IAAS layer platform, shielding difference among various different suppliers on the IAAS layer platform and providing a uniform resource adaptive abstract interface for the cloud management platform. The cloud management platform comprises a resource management module which is a cloud management platform body, is connected with the infrastructure as a service layer and provides uniform management of resource pools for a resource manager; and a uniform user management module which provides functions such as tenant management, department management, user management, user group management and role authority authorization management, and supports a single sign on function. According to the heterogeneous and integrated hybrid cloud resource management platform, full life cycle tracking management is carried out, a customer can manage heterogeneous and integrated hybrid cloud resources based on the platform, and business application cloudization migration, reliability and IT operation efficiency are clearly improved.

The invention discloses an environmental big data analysis and decision-making platform based on machine learning. A water environmental pollutant big data analysis comprehensive evaluation index, anenvironmental ecological profit and loss big data analysis algorithm and an environmental protection public opinion monitoring prediction big data analysis model are given; the platform supports remote access of environmental data such as basic data, business data, government affair data, monitoring data, video data and remote sensing data; through the modes of data acquisition and filtering, datamining, multi-dimensional analysis, a distributed computing framework, a full-text retrieval service engine, Internet of Things + cloud computing and the like, the MPPDB + Hadoop technology is adopted to realize storage, analysis and presentation of massive structured, semi-structured and unstructured data, and full-life-cycle management of the data is realized. Ecological environment big data can be collected, integrated, analyzed and presented, an environmental protection department is assisted in comprehensively mastering comprehensive conditions of water environment pollutants, environmental ecological profit and loss conditions and environmental protection public opinion information in a jurisdiction, and decision makers are assisted in making decisions.

The invention belongs to the field of power primary equipment state evaluation and relates to an intelligent operation and maintenance and full-life-cycle management method for a transformer substation. According to the method, service life evaluation on an oil-immersed power transformer in the transformer substation and quantitative evaluation on the overload capacity of the oil-immersed power transformer in the transformer substation through a preset intelligent algorithm on the basis of data obtained from the comprehensive protection measurement and control background and environment temperature control instrument of the transformer substation, and therefore, the availability and reliability of electric energy are improved. With the intelligent operation and maintenance and full-life-cycle management method for the transformer substation and the cloud management platform for transformer substation of the invention, service life evaluation on the oil-immersed power transformer in thetransformer substation and quantitative evaluation on the overload capacity of the oil-immersed power transformer in the transformer substation are realized.

The invention provides a management integrating system of enterprise standardization. The management integrating system is characterized in that an enterprise standardization system, a service flow system and a service processing system are organically fused by an enterprise gateway integration system, electronic processing and WEB release are carried out on standard documents and the management process, the requirement of standard total-life is met, the enterprise standardization system, the service flow system and the service processing system are integrated, and mutual access and linking-updating functions among the enterprise standardization system, the service flow system and the service processing system are realized. The management integrating system provided by the invention has the advantages that the organic relation among standard planning, standard plans, standard-system revision and standard abolishment is displayed by graphics, and the standard all-life period management is really realized; powerful system support is provided for the enterprise standardization work by utilizing informatization means; the standard reversion and release process are consolidated and the smooth channel is established for standard executing condition supervision and standard evaluation and feedback; a convenient and fast standard access mode is provided; and the updating linkage of the standard, the process and the posts of organizations is ensured.

A modeling method of an operation and maintenance business model based on an association relation of primary and secondary systems is disclosed. The method includes the steps of firstly, modeling for a primary system; secondly, modeling for a secondary system; thirdly, classifying secondary operation and maintenance information, establishing a primary and secondary association relation, and associating primary equipment with logical nodes of secondary equipment; and fourthly, establishing an IEC61850 data model including a primary model, a second model and the primary and secondary association relation and being capable of supporting the operation and maintenance business. According to the invention, the method is provided with a data basis for comprehensively managing and controlling operating risks of the secondary system of a transformer substation in real time and ensuring safe and reliable operation of the secondary system, and is capable of executing risk management and control right for the transformer substation; and after accumulation of a certain amount of data, statistics can be conducted for system historical data and the causes of the equipment failure can be excavated so as to realize the whole life cycle management of the equipment, improve the efficiency of intelligent operation and maintenance and reduce the maintenance cost of the equipment at the same time.

The invention discloses a general auto test system based on a device under test (DUT) model. The general auto test system comprises a data storage controller, a test development controller, a monitoring display controller, a fault diagnosis controller, a test analysis controller, a test resource controller and an analogue simulation controller which are connected by a data bus controller; each controller is provided with a corresponding component. The invention further provides a method for the general auto test system. The method comprises the following steps of creating the DUT model; performing hardware selection and design of a conditioning circuit; creating a test resource model; performing software deployment; performing test development and configuration, and the like. The general automatic testing system disclosed by the invention can be compatible with a big data storage platform, and lays a technology foundation for data analysis and data mining; the deployment, development and extension difficulty of the testing system is greatly reduced, and the development cost and the time cost of the testing system are reduced; entire life-cycle management of test data is really realized, the adaptability of an ATS (Auto Test System) is improved, and the general range of the ATS system is widened.

The invention belongs to the technical field of power electronic devices for rail transit, and particularly relates to an IGBT device service life prediction method based on a semi-physical simulationplatform, which comprises the following steps: obtaining electrical parameters of an IGBT device through the semi-physical simulation platform by using a locomotive/bullet train real TCU; calculatinga loss value of the IGBT device according to the electrical parameters; utilizing an electric heating network model to obtain a crusting temperature change curve of the IGBT device according to the loss value; performing rain current counting statistics on the crusting temperature load of the IGBT device according to a rain current algorithm; and calculating the service life of the IGBT device byusing the damage accumulation model of the IGBT device. According to the service life prediction method, current and voltage changes which are closer to actual working conditions are provided by using the real TCU of the bullet train/locomotive and are equivalent to the accuracy of on-site acquired data, so that a theoretical basis is provided for determining the replacement time of the IGBT device for rail transit and realizing the full-service life cycle management of the IGBT device.

The invention discloses a water quality collaborative management platform system for secondary water supply, which relates to the field of water supply. The secondary water supply collaborative management platform system at least comprises a management control unit, a water level management unit, a water quantity management unit, a water quality management unit, a cleaning management unit, a cloudstorage unit, a data analysis query unit and an account/bill management unit. The management control unit is used for managing all data and communication in the platform system, and each sub-management unit connects and communicates with the client and the cloud server through the management control unit. The secondary water supply cooperative management platform system provided by the inventionutilizes the information means of the internet of things, strengthen the supervision of secondary water supply facilities and water quality. Adopting the concept of Internet +, using industrial Internet, through asset management, operation management and visualization of water quality safety, etc., the whole life cycle management of water supply facilities is realized, and online operation monitoring is carried out, which solves the problems of information island and business cooperation among multiple organizations.

The invention discloses a power transmission line intelligent operation and maintenance management system based on intelligent identification, which belongs to the field of power transmission line maintenance, and comprises the following steps that: a, an image intelligent identification server analyzes and identifies on-site acquired pictures, classifies and marks the pictures and stores the pictures into a database alarm table; b, a database alarm table is regularly queried, and a window is popped up in real time to prompt current unapproved alarm picture information; c, whether the early warning picture is determined to be an alarm or not is automatically identified through on-line decision making, and corresponding approval processing is carried out; and d, an inspection task is issuedfor the hidden danger field, field inspection and hidden danger investigation are performed, and the field hidden danger situation is input into the system. The hidden danger information in the pictures collected on site is actively recognized, the recognition results are classified, marked and stored, the foreground page can inquire various hidden danger pictures according to conditions, meanwhile, the pictures which are intelligently recognized as early warning are intensively displayed on the foreground page in the form of pop-up windows, and warning sound is provided, so that inspection personnel can conveniently and timely perform approval and processing.

The invention provides an equipment management system based on TnPM (Total Normalized Productive Maintenance). The system comprises a defect management subsystem, a point inspection management subsystem, an accident management subsystem, a preventative maintenance subsystem, an equipment lubrication subsystem, an overhaul plan management subsystem, an overhaul process management subsystem and a spare part repair old management subsystem, wherein "point inspection preventive maintenance" is taken as an equipment operation management core, the contents of aspects, including equipment foundationmanagement, equipment operation management, physical asset management and the like, are integrated into a standard, normalized and transparent uniform management system, and the uniform management system is tightly integrated with other management systems to realize the full life cycle management of the equipment. A standard and normalized data management platform is established, and the economicand stable operation of the equipment is realized through information sharing and deepening equipment point inspection periodical repair management.

The invention discloses an industrial Internet identifier analysis system. The system comprises an injection mold, an intelligent data collector, an active identifier carrier, a security access management and control platform, a mold management cloud platform, an enterprise node, a recursion node, an industry secondary node, a national top-level node and a client; the intelligent data collector ismounted on the injection mold; the active identification carrier is arranged on the intelligent data collector and is connected with the security access control platform; the security access management and control platform is connected with the enterprise node; the enterprise node is connected with the mold management cloud platform; the recursion node is connected with the enterprise node; the industry secondary node is connected with the country top-level node, and the industry secondary node and the country top-level node are respectively connected with the recursion node; and the client is connected to the recursive node. According to the industrial Internet identifier analysis system, the monitoring strength of the injection mold can be effectively improved, and full-life-cycle management of the injection mold is achieved; and moreover, the injection molding production condition can be accurately controlled in real time.

The invention discloses a public security big data management method. The method specifically comprises the steps of data standardization processing, data classification, data cataloguing, data processing, database construction and data operation monitoring. By constructing the closed-loop data management method and through closed-loop data management and a closed-loop data application feedback mechanism, continuous optimization and perfection of data ecology are guaranteed. Through automatic, self-service and intelligent big data management, data finding, supplying, using and treating can beachieved, and therefore various problems of traditional data management in the big data era are solved in a one-stop mode, a data management system is built, data are rapidly recognized, a data management system is built, problems are monitored and rapidly found, a data application system is built, and data are shared and efficiently used.

The present invention provides a personnel archive random informatization management method, belonging to a personnel archive management method. The method comprises the steps of: performing dynamic association through two-dimensional codes of a personnel archive box and archive storage position information (cabinets and racks), wherein the setting functions comprise archive storage, consulting, borrowing, returning and callout function modules. The method can employ devices such as a computer, a mobile terminal and the like to retrieve the positions where the archives are located through personnel information such as job numbers, names and ID numbers of the personnel so as to achieve the functions of random query, transferring and management of personnel archives. The method performs operation setting according to the personnel archive life cycle, performs real-time record of various operation information and randomly generates personnel archives to perform data statistic analysis soas to achieve automatic stocktaking function of the personnel archival repository.

The invention discloses a turbine system of an intelligent ship. The turbine system comprises a turbine part integration platform, a turbine part ship network device and a turbine part shore-based cloud base station. According to the invention, on the basis of a marine engine part integrated platform, advanced informatization technology is applied, and intelligent perception, judgment and analysis of a cabin and shore-based digital twinning are realized, so that the safety and efficiency of a ship during sailing and shore-based remote control and decision making are better ensured, and accidents caused by human factors are greatly reduced or even completely eradicated. The integrated multi-source data acquisition and fusion system can ensure the continuity of time sequence data, and provides data support for a turbine part AR system and a turbine part digital twin system. The AR system of the marine engine part can obviously improve equipment detection in the operation process of the marine engine system of the ship and better monitor the operation state of each equipment of the marine engine system of the ship; and the efficiency can be remarkably improved when the turbine equipment is disassembled, assembled and maintained, the downtime caused by maintenance of the cabin equipment is shortened, and the maintenance cost is reduced.

The invention aims to disclose a method for intelligently monitoring an abnormal operation state of equipment. Compared with the prior art, comprehensive perception of equipment is realized in a non-contact manner; equipment state information is obtained by monitoring sound generated during equipment operation, and the defects of traditional sensing data can be effectively overcome; and meanwhile, fault monitoring diagnosis and predictive maintenance of the equipment and full-life-cycle management of the industrial equipment are realized based on big data and deep learning, so that the aim of the invention is fulfilled.

The invention relates to an inspection planning design method related to a three-dimensional digital assembly process, belonging to the field of advanced digital assembly technology. The method comprises the steps of associating the assembling process planning files with a model; associating the assembling step with an inspection step; grouping the inspection steps; intelligently inspecting and sorting; forming an inspection plan. As the inspection plan is planned by using the association with the three-dimensional digitalization, the association between the inspection content and the model isrealized, the inspection content is more intuitionistic and visual, the operation of the inspector is convenient, the inspection efficiency is improved, and the paperless flow of the workshop is realized. Through the design method of the inspection plan, the consistency of the content of inspection report format and the uniformity of inspection compilation process are realized, which is convenient for the management of inspection plan and improves the speed of compilation of inspection plan by compilers. By using the PDM, Web management modes to store the network data and local data, the method is convenient to read and upload the data, realizes the whole life cycle management of inspection plan, and updates and replaces the inspection plan in real time.

The invention relates to the technical field of intelligent management of oil production wells, and discloses an oil well full-life-cycle management method and system of a side cloud architecture, and the method comprises the steps: a unique data source collection intelligent controller is used for managing full-service chain data in the full-life-cycle of an oil well in an oil field, and data attributes with an oil well number as a unique identifier are established; collecting and recording all dynamic production and maintenance measure data of the oil well; establishing an oil well data management cloud platform based on the block chain; the intelligent unit calculates to obtain oil well characteristics, oil well data and the characteristics are stored in the cloud platform, and the cloud platform encrypts the stored data; the user terminal sends the unified data identification code to the cloud platform, the cloud platform sends corresponding encrypted data to the user terminal, and the user terminal decrypts the data and displays a statistical chart. According to the oil well full-life-cycle management method, edge calculation of collected data is completed through an intelligent unit, and oil well data collection, calculation, storage and management based on an edge cloud architecture are achieved.

The invention relates to an Internet of Vehicles monitoring system and an Internet of Vehicles control system. The system comprises a vehicle-mounted terminal, a server and a monitoring terminal, a vehicle network control system is integrated in the server, and based on the Beidou satellite navigation technology, the vehicle-mounted terminal is used for uploading position information and state information of a current vehicle to the server and establishing a network channel and a short message channel; the server is used for providing an access service, a communication service, a Web service,a map service, a cache service and a database service; and the monitoring end is used for accessing the Web server to obtain vehicle dynamic data. Vehicle full-life-cycle comprehensive management is achieved, manual operation is simplified, and management efficiency is improved.

The invention relates to the field of product data management, and provides a product design process problem full-life-cycle management method and system. The method comprises the steps: obtaining technical parameters in customer demand information, and decomposing the technical parameters of a product into a node data set of product design; establishing a constraint rule set and rule priorities among the product technical parameters; establishing constraint relationship in the design process nodes and between the nodes; when an engineering change form is created in the PDM system, sending theengineering change form to an approval node, and sending the approval form generated after approval is passed and the engineering change form to an engineering change process node; and adjusting a subsequent design flow node module. According to the method, engineering changes and technical parameters can be changed, the association between the nodes is realized before the product design activityis started, and once the engineering change occurs, the repeated communication required by the data change generated by the engineering change is reduced, the full-life-cycle management of the automatic information change and the engineering change is realized, and the product collaborative design efficiency is further improved.