CN112148261A - Data center platform design method of intelligent shipyard digital service platform - Google Patents
Data center platform design method of intelligent shipyard digital service platform Download PDFInfo
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Abstract
The invention discloses a data center design method of an intelligent shipyard digital service platform, which is characterized in that a data center design method of an access layer, a storage layer, a service layer and an application layer framework is adopted, a coding system of the data center is merged among different levels, the system is designed and managed through unifying data standards and calibers, the acquisition, calculation, storage and processing of mass data are realized, a large data asset layer is formed, and data service, model service and algorithm service are realized. Compared with the prior art, the method has the advantages that the value of industrial big data in the production and manufacturing process is reflected, the core production and design data are enabled to improve the planning and design quality of the intelligent shipyard, the method is really feasible, the economic benefit is obvious, and the planning and design quality of the intelligent shipyard is effectively improved.
Description
Technical Field
The invention relates to the technical field of industrial big data, in particular to a data center platform design method of a digital service platform for intelligent shipyard planning design and operation and maintenance service.
Background
In the prior art of domestic ship manufacturing, in the whole processes of planning, designing, building and operating a shipyard, the aspects of intelligent shipyard top layer high-quality planning design, shipyard reconstruction and extension, shipyard infrastructure and production facility intelligent operation service system construction and the like which are supported based on data and algorithm exist refinement and digitization differences compared with foreign advanced enterprises, and meanwhile, the capacity of providing intelligent assessment and diagnosis technology, high-quality planning design and intelligent operation and maintenance service for the shipyard infrastructure construction and operation and maintenance service is lacked. Along with the development of industrial big data and industrial internet technology in recent years, the importance of data value in the planning design and operation and maintenance of the intelligent shipyard is gradually highlighted, and the core production and design data provides powerful support for improving the quality of the planning and design of the intelligent shipyard.
The intelligent shipyard top level planning and design in the prior art has some disadvantages: firstly, most of digital capacity construction focuses on independent information system construction, and aims to realize specific functional targets, such as data monitoring, design optimization, operation and maintenance service, three-dimensional visualization and the like, the cooperativity between systems is not high, and the one-sidedness, intuitiveness and usability of information limit the value of data in the production and manufacturing process to be highlighted; and secondly, data assets and capacity cannot be effectively accumulated in the technology, the service and multiplexing degree of services and data in the system is low, the system development is always from the beginning, and data analysis needs to directly face original data, so that the system is poor in flexibility, long in construction period and high in cost, and rapid construction of new services cannot be supported. Therefore, in the field of intelligent shipyard planning design and operation and maintenance service, a large space still exists for improving the data sharing service capacity, and the construction of a data middlebox is an effective improvement way.
Disclosure of Invention
The invention aims to provide a data center design method of an intelligent shipyard digital service platform aiming at the defects of the prior art, which is characterized in that a data center coding system is merged among different levels by dividing a storage layer, a service layer and an application layer from a data access layer in combination with the service requirements of planning design and operation and maintenance of an intelligent shipyard, the system is designed and managed by unifying data standards and calibers and constructing organization, flow, standards and specifications required by the data center, mass data are acquired, calculated, stored and processed, the data center unifies the data to form standard data, the standard data are stored to form a large data asset layer, and data service, model service and algorithm service capacity are realized by a data mining and analyzing tool, so that efficient service is provided for clients or ecology.
The purpose of the invention is realized as follows: a design method of a data center platform of an intelligent shipyard digital service platform is characterized in that a design method of the data center platform of an access layer, a storage layer, a service layer and an application layer framework is adopted, different levels are integrated into a coding system of the data center platform, and the access layer is a basis of the data center platform and is mainly used for realizing the collection and calculation of design data, monitoring data and external data of the intelligent shipyard digital service platform by collecting data deeply and realizing the bottom convergence of different protocol data; the storage layer is mainly responsible for storage and access, extraction and conversion, calculation and analysis of system data; the business layer realizes the construction of a theme database, mainly aims at different analysis requirements of each related sub-specialty of shipyard planning design and operation and maintenance service, and divides the theme; the application layer comprises three application modules of analysis, operation and maintenance and visualization, and is mainly used for storing personalized indexes and dimension data processed for application and directly providing personalized services for shipyards. The design process of the intelligent shipyard digital service platform data middle platform follows a data coding system, data is communicated and built according to a unified standard, data assets can be better managed, the relation among the data is cleared, and accurate and efficient analysis and decision making are realized.
The access layer is a data aggregation formed by a design data module, a monitoring data module and an external data module, wherein the design data module is a mass of high-value core data based on unique three hundred countries of an enterprise, engineering infrastructure construction of internal and external shipyards, process flow planning design, important equipment development, green and environment-friendly engineering implementation and the like; the monitoring data module is mainly used for collecting element data such as equipment, a system, a product, software and the like in real time by means of a sensor, an industrial control system and an Internet of things technology, for example, by means of traditional industrial control and connection technologies such as an intelligent controller, an intelligent module and embedded software, direct integration of a platform on bottom layer data is realized, and the acquisition sources are divided into two types of automatic system extraction and field test acquisition; the external data module is data related to infrastructure, process flow, important equipment, environmental protection and enterprise operation, and external meteorological, geographic, social and economic data.
The storage layer consists of a source data ODS layer, a temporary storage layer and a unified multi-bin DW layer, wherein the source data ODS layer and the temporary storage layer consist of design input, model extraction, an algorithm, entity access, a numerical model, a physical model and several data contents in an enterprise; the unified multi-bin DW layer is composed of infrastructure, large equipment, environmental protection, a process flow, design data, monitoring data, analysis data, model data and external data, and is mainly used for screening and integrating various service data.
The business layer is composed of three professional modules of a structure, equipment and environmental protection, and the theme database is constructed.
The application layer is an application data ADS composed of three professional modules of analysis, operation and maintenance and visualization, and is used for providing personalized services for shipyards.
Compared with the prior art, the method has the advantages that the data service, the model service and the algorithm service capacity are realized through the data mining and analyzing tool, the high-efficiency service is provided for customers or ecology, the industrial big data and the industrial internet technology provide powerful support for the planning design and operation and maintenance of the intelligent shipyard, the value of the data value in the production and manufacturing process is further reflected, the core production and design data provide powerful guarantee for improving the planning and design quality of the intelligent shipyard, the method is really feasible, the economic benefit is obvious, and the planning and design quality of the intelligent shipyard is effectively improved.
Drawings
FIG. 1 is a block diagram of a data center of the architecture of the present invention;
FIG. 2 is a diagram illustrating an embodiment of the present invention.
Detailed Description
The invention starts from a data access layer, combines the service requirements of intelligent shipyard planning design and operation and maintenance, is divided according to a storage layer, a service layer and an application layer, integrates a data center coding system among different levels, designs and manages the system by unifying data standards and apertures and establishing organization, flow, standards and specifications required by the data center, and realizes acquisition, calculation, storage and processing of mass data. The invention is further illustrated by the following specific examples:
example 1
Referring to fig. 1, the data relay system of the present invention is constructed by an access layer 1 at the bottom, a data storage 2 at the middle layer, a service layer 3 at the top, and an application layer 4, where the access layer 1 includes: a design data module 11, a monitoring data module 12 and an external data module 13; the data storage 2 consists of a source data ODS layer 21, a temporary storage layer 22 and a uniform number of bins DW layer 23; the service layer 3 includes: a structural module 31, an equipment module 32 and an environmental module 33; the application layer 4 includes: an analysis module 41, an operation and maintenance module 42 and a visualization module 43. The system integrates data aggregation, source pasting data ODS, temporary storage and unified multi-bin DW, a subject database DM and application data ADS into corresponding levels of a data middlebox, and achieves system construction with reasonable frame, complete functions and convenience in expansion according to the principles of overall planning, step-by-step implementation, advancement, suitability and expansibility. The construction process conforms to a data center coding system of an intelligent shipyard digital service platform, data is communicated through the coding system and is constructed according to a unified standard, and mutual verification and iteration are performed between the front link and the rear link of the data center, so that the aims of technical cost reduction, application efficiency improvement and service enabling are achieved. Data value mining and reverse enabling services are realized through data service and data operation management.
Referring to FIG. 2, the specific construction of the present invention is performed by the following steps:
1) data import: the access layer is composed of three functional module groups of design data, monitoring data and external data, wherein the design data is massive high-value core data based on unique three hundred families of shipyard engineering infrastructure construction, process flow planning design, important equipment development, green and environment-friendly engineering implementation and the like at home and abroad of an enterprise. The monitoring data is mainly acquired in real time by means of sensor, industrial control system, Internet of things technology oriented to equipment, system, product, software and other element data, for example, the direct integration of the platform on the bottom layer data is realized by means of intelligent controller, intelligent module, embedded software and other traditional industrial control and connection technology, and the acquisition source is divided into two types of automatic system extraction and field test acquisition. The external data module is data related to infrastructure, process flow, important equipment, environmental protection and enterprise operation, and external meteorological, geographic, social and economic data.
2) Paste source data ODS: the source data ODS layer stores data from other systems in a data warehouse with almost no processing, and the data warehouse has three functions of data synchronization, structuring and cleaning, wherein the data synchronization synchronizes the structured data to a data computing platform in an incremental or full mode; the structuralization is to structuralize and store unstructured (log) to a data computing platform; and the cleaning is to store historical data and clean the data according to the data service requirements and the auditing requirements.
3) And (3) temporarily storing: in order to enable a data source to enter a big data platform more reasonably and normatively, after the construction of the source pasting data ODS layer is realized, a temporary storage area needs to be established for transitional storage of data, the data in the temporary storage area and the source pasting data are consistent in form and content, and the physical address of a database server is in an enterprise.
4) Unified several-bin DW: the unified digital warehouse DW layer is combined with the characteristics and the actual requirements of a digital service platform data center of an intelligent shipyard, the unified digital warehouse DW is designed, overall classification is carried out according to four major professional domains, the unified digital warehouse DW layer comprises infrastructure, large-scale equipment, environmental protection and process flows, on the basis, data sources are combined, the unified digital warehouse DW layer is divided into design data, monitoring data, analysis data, model data and external data according to types, the DWD layer and the DWS layer are constructed according to a detail and width surface layer and a public summary data layer, a dimension model method and a dimension degradation method are adopted, association of a fact table and a dimension table is reduced, meanwhile, dimension degradation of indexes is enhanced on the summary data layer, a public index data layer is constructed by adopting more wide tabulation means, reusability of public indexes is improved, and repeated processing of the data is reduced. In the unified multi-bin DW layer, three functions are mainly realized, related and similar data are combined, a detail and width table is adopted, and associated calculation is multiplexed, so that data scanning is reduced; constructing statistical indexes with naming specifications, consistent calibers and unified algorithm based on a data coding and label system, and establishing a logic summary broad table; and a consistent data analysis dimension table is established, and the risk of nonuniform data calculation calibers is reduced.
5) Theme database DM: the theme database DM is constructed by integrating and summarizing basic data on a unified digital warehouse DW to analyze service data of a theme domain, is generally a wide table and is used for providing subsequent business query, OLAP analysis, data distribution and the like, and is composed of three functional module groups of structure, equipment and environmental protection and divided according to the professional field related to an intelligent shipyard digital service platform. In order to facilitate service query, each specialty is divided according to different professional objects.
6) Application data ADS: and constructing application data ADS according to the service requirements of the intelligent shipyard digital service platform, storing the individualized statistical index data of the data products, and processing and generating according to the unified multi-bin DW layer and the source data ODS layer. The method is mainly used for realizing personalized index processing and data assembly based on application. According to different service requirements, the method is divided into three parts of analysis, operation and maintenance and visualization.
The invention works as follows: according to a unified data standard, a rapid data development tool is utilized to carry out data integration and processing by taking business requirements as guidance, a service architecture for forming a data center of an intelligent shipyard digital service platform is constructed and formed, the service architecture comprises an access layer (data import), a storage layer (source-attached data ODS, temporary storage and unified multi-bin DW), a business layer (theme database) and an application layer (model service), an enterprise level analysis theme is formed by constructing requirement iteration and precipitating same-property data and services through application, a service unified retrieval and display portal is provided, the planning design and operation and maintenance of the intelligent shipyard in four fields of enterprise infrastructure, large-scale equipment, process flow and green environment protection are internally supported, and shared data products and services are provided for the shipping industry and upstream and downstream industries. The access layer provides a data source for the intelligent shipyard digital service platform; the storage layer realizes data collection of the source service system according to the physical table structure of the source service system in the data, and realizes integration landing of source-attached data according to model design of subject domains such as users, assets and the like; the business layer is divided by taking the specialty as a theme, and each theme object database is established; the application layer develops analysis subject construction such as customer portrait, equipment portrait and the like according to the application requirements, and supports applications such as multi-dimensional profits. In the aspect of data asset management, a unified coding system is constructed, enterprise-level main data is deepened to be shared together, and data asset management and operation are achieved.
The invention has been described in further detail in order to avoid limiting the scope of the invention, and it is intended that all such equivalent embodiments be included within the scope of the following claims.
Claims (5)
1. A design method of a data center platform of an intelligent shipyard digital service platform is characterized in that a data center platform design method of an access layer, a storage layer, a service layer and an application layer framework is adopted, a coding system of the data center platform is merged among different levels, a large data asset layer is formed by unifying data standards and calibers, data service, model service and algorithm service are realized, the access layer is a functional layer for data convergence, and bottom convergence of different protocol data is realized by collecting data; the storage layer is a functional layer for storing and accessing, extracting and converting, calculating and analyzing system data; the business layer is a functional layer for dividing a theme by planning design and operation and maintenance service, and the construction of a theme database is realized; the application layer is an application data ADS functional layer for providing personalized services.
2. The method for designing the data center of the intelligent shipyard digital service platform according to claim 1, wherein the access layer is data convergence consisting of three functional modules of design data, monitoring data and external data, and the design data acquires core data related to shipyard engineering infrastructure construction, process flow planning design, important equipment development and green environmental protection engineering implementation; the monitoring data adopts a sensor, an industrial control system and the Internet of things to acquire element data of equipment and products in real time, so that the direct integration of data of a data center platform on bottom layer data is realized; the external data acquisition infrastructure, process flow, important equipment, green, enterprise operation related data, and external meteorological, geographic, social and economic data thereof.
3. The method for designing the data middlings of the intelligent shipyard digital service platform according to claim 1, wherein the storage layer is composed of a source-attached data ODS layer, a temporary storage layer and a unified multi-warehouse DW layer, and the source-attached data ODS layer and the temporary storage layer are composed of design input, model extraction, algorithms, entity access, numerical models, physical models and data inside enterprises, and realize storage and access, extraction and conversion, calculation and analysis; the unified multi-bin DW layer is composed of infrastructure, large equipment, environmental protection, a process flow, design data, monitoring data, analysis data, model data and external data, and is used for screening and integrating various service data.
4. The method for designing the data middlebox of the intelligent shipyard digital service platform according to claim 1, wherein the business layer is composed of three functional modules of a structure, a device and an environmental protection module, and the theme database is constructed.
5. The method for designing the data middlebox of the intelligent shipyard digital service platform according to claim 1, wherein the application layer is an application data ADS functional layer consisting of three functional modules of analysis, operation and maintenance and visualization, and is implemented to provide personalized services for shipyards.
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