CN113395313A - Integrated model of data center station and service center station based on multi-technology fusion - Google Patents
Integrated model of data center station and service center station based on multi-technology fusion Download PDFInfo
- Publication number
- CN113395313A CN113395313A CN202010931847.7A CN202010931847A CN113395313A CN 113395313 A CN113395313 A CN 113395313A CN 202010931847 A CN202010931847 A CN 202010931847A CN 113395313 A CN113395313 A CN 113395313A
- Authority
- CN
- China
- Prior art keywords
- data
- business
- enterprise
- center
- application
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/101—Collaborative creation, e.g. joint development of products or services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an integrated model of a data center and a business center based on multi-technology fusion, which belongs to the technical field of enterprise management, and realizes an integrated model of data sharing and service sharing of multi-type enterprise cluster business application by utilizing a fusion technology of full-business multi-type data analysis and intelligent modeling and adopting integrated deployment of the data center and the business center, wherein the integrated model comprises the data center, the business center, an enterprise back end and enterprise application. This platform and business platform integration model in data based on multi-technology integration, through platform and business in the data that sets up, through intermediate level data between enterprise's rear end and enterprise application, a lot of recalculations that can significantly reduce divide into a plurality of subtasks and accomplish complicated problem, every layer handles single step, provides decision analysis quick response, the operation that becomes more meticulous and application support for enterprise's applied proscenium business department, lets data commercialization, eliminates information island, promotes enterprise application business efficiency.
Description
Technical Field
The invention belongs to the technical field of enterprise management, and particularly relates to an integrated model of a data center and a business center based on multi-technology fusion.
Background
The research institute of Chongqing high and new technology industry of 7 months in 2019 is entrusted by the government of the Ministry of the Bishan district, research activities are carried out on enterprises in the Bishan district, the basic conditions, the production automation and informatization, the technical innovation and the management innovation of the enterprises are deeply known, the Bishan district has more than 1200 enterprises at present, 172 high and new technology enterprises have wide industrial distribution, and 10 industries are involved, including mechanical manufacturing, equipment manufacturing, electronics, packaging products, automobile manufacturing, security products, materials and other industries (checking tools, jigs, drilling processing, hardware parts and decorative materials production and processing). Because of the influence of the traditional industrial layout of the hills, the proportion of mechanical manufacturing is the largest, including the processing and manufacturing of automobile and motorcycle parts and the like, and is about 54.55 percent. The second is the electronic and packaging product industry, which accounts for 17.42% and 12.88% respectively. From the industrial structure, although the surrounding economic environment drives the development of the hills electronic industry and the packaging industry to a certain extent, the development degree is still limited, and the hills high and new technology enterprises still mainly adopt the traditional machining and manufacturing industry. From the aspects of automation and informatization, 6 enterprises in 150 enterprises researched and researched in the early stage only achieve the automatic production of 4 percent, 58 enterprises in the semi-automatic production of 38.7 percent and the rest 57.3 percent of the enterprises do not achieve the semi-automatic degree. Therefore, in a short time, the main body of the intensive development of the new technology enterprises in the hills is mainly the transformation and upgrade of the traditional processing and manufacturing industry. The investigation finds that the enterprise in the hilly area has uneven development of digitalization, networking and intellectualization, and the application degree of modern electronic information technology (such as MES, CAD, CAM and the like), product equipment monitoring and management technology, environmental protection monitoring and energy management technology and decision process informatization in the production process is extremely low; the development cost input intensity is high on the whole, but the development result output is not high, and the development capability is insufficient; enterprises are strong in single management innovation capability, but weak in comprehensive management innovation capability, the implementation strength of 6S management is insufficient, and fine management and safety management are not paid enough attention.
In order to promote deep integration of the internet, big data, artificial intelligence and entity economy, a research institute builds a data center station and a business center station based on multi-technology integration, and builds an integrated model of the data center station and the business center station based on multi-technology integration.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an integrated model of a data center station and a service center station based on multi-technology fusion, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an integrated model of a data center and a business center based on multi-technology fusion utilizes a fusion technology of full-business multi-type data analysis and intelligent modeling, adopts the integrated deployment of the data center and the business center, and realizes the data sharing and service sharing of multi-type enterprise cluster business application, and comprises the data center, the business center, an enterprise back end and enterprise application;
the data center station is used for inducing and abstracting the common requirements of the enterprise application services, providing data sharing for each service application processing unit in the form of interfacing, componentizing and platformizing, and is a sharing platform for performing service analysis on enterprise application data;
the business center is used for providing classification services for data analysis of different industries in the industrial Internet facing to the multi-type enterprise clusters, and forming a service sharing component and a product model by combining different industry application scenes;
the enterprise back end is used for carrying out management authority operation on each system, so that data of each system can be synchronously shared with data of enterprise application;
and the enterprise application is used for providing a service interface for data sharing and analyzing and sharing the data through the application end PC or/and the application end APP.
Further optimizing the technical scheme, the data center platform forms data assets from enterprise data under the SOA framework of distributed deployment, and enables foreground and background services of the enterprise from the data value perspective.
Further optimizing the technical scheme, the data center station imports data from the back end of an enterprise, performs data sharing fusion, organization processing, modeling analysis, management and treatment, service application and the like, unifies data standards, and provides services in the mode of an application program interface API.
Further optimizing the technical scheme, the data center station provides decision analysis quick response, refined operation and application support for foreground business departments of enterprise application, so that data is commercialized, information islands are eliminated, and the enterprise application business efficiency is improved.
The technical scheme is further optimized, the data center station comprises data assets, data management, data processing, data calculation, a data model, data safety, a rule engine and an analysis engine, and the data center station analyzes the converged data and assigns the data to a foreground business department of enterprise application.
Further optimizing the technical scheme, the data model of the data center station has a cross-department neutral characteristic, can express and cover all different types of business applications, and can shield the influence of data source change on the business applications.
Further optimizing the technical scheme, the business middle desk comprises homepage management, protocol management, visualization, lean management, state management, supply chain, energy efficiency management and quality management, and forms an integrated model of service sharing.
Compared with the prior art, the invention provides an integrated model of a data center station and a service center station based on multi-technology fusion, which has the following beneficial effects:
this integrated model of platform and platform in business in data based on multi-technology integration, platform and platform in the business in the data through setting up, through intermediate level data between enterprise's rear end and enterprise application, a lot of recalculations that can significantly reduce, divide into a plurality of subtasks with the complicated problem and accomplish, every layer is handled single step, need not restore all data when data have a problem, only need repair from the problem point, the proscenium business department who applies for the enterprise provides decision-making analysis quick response, operation and application support become more meticulous, let the data commercialization, the information island is eliminated, promote enterprise application service efficiency.
Drawings
Fig. 1 is a schematic structural diagram of an integrated model of a data center station and a service center station based on multi-technology fusion according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, an integrated model of a data center and a business center based on multi-technology fusion, which is an integrated model for realizing data sharing and service sharing of multi-type enterprise cluster business applications by using a fusion technology of full-business multi-type data analysis and intelligent modeling and adopting integrated deployment of the data center and the business center, includes the data center, the business center, an enterprise back end and enterprise applications;
the data center station is used for inducing and abstracting the common requirements of the enterprise application services, providing data sharing for each service application processing unit in the form of interfacing, componentizing and platformizing, and is a sharing platform for performing service analysis on enterprise application data;
the business center is used for providing classification services for data analysis of different industries in the industrial Internet facing to the multi-type enterprise clusters, and forming a service sharing component and a product model by combining different industry application scenes;
the enterprise back end is used for carrying out management authority operation on each system, so that data of each system can be synchronously shared with data of enterprise application;
and the enterprise application is used for providing a service interface for data sharing and analyzing and sharing the data through the application end PC or/and the application end APP.
Specifically, the data center platform forms data assets from enterprise data under the distributed SOA framework, and enables foreground and background services of the enterprise from the data value perspective.
Specifically, the data center platform imports data from the back end of an enterprise, performs data sharing fusion, organization processing, modeling analysis, management and administration, service application and the like, unifies data standards, and provides services in the mode of an Application Program Interface (API).
Specifically, the data center station provides decision analysis quick response, refined operation and application support for foreground business departments of enterprise application, enables data to be in business, eliminates information islands, and improves enterprise application business efficiency.
Specifically, the data center station comprises data assets, data management, data processing, data calculation, a data model, a data security, a rule engine and an analysis engine, and the data center station analyzes the converged data and assigns the data to a foreground business department of enterprise application.
Specifically, the data model of the data center station has a cross-department neutral characteristic, can express and cover all different types of business applications, and can shield the influence of data source changes on the business applications.
Specifically, the business middle station comprises homepage management, protocol management, visualization, lean management, state management, supply chain, energy efficiency management and quality management, and forms an integrated model of service sharing.
Example two:
an integrated model of a data center and a business center based on multi-technology fusion utilizes a fusion technology of full-business multi-type data analysis and intelligent modeling, adopts the integrated deployment of the data center and the business center, and realizes the data sharing and service sharing of multi-type enterprise cluster business application, and comprises the data center, the business center, an enterprise back end and enterprise application;
the data center station is used for inducing and abstracting the common requirements of the enterprise application services, providing data sharing for each service application processing unit in the form of interfacing, componentizing and platformizing, and is a sharing platform for performing service analysis on enterprise application data;
the business center is used for providing classification services for data analysis of different industries in the industrial Internet facing to the multi-type enterprise clusters, and forming a service sharing component and a product model by combining different industry application scenes;
the enterprise back end is used for carrying out management authority operation on each system, so that data of each system can be synchronously shared with data of enterprise application;
each system at the back end of the enterprise may specifically be a resource planning system ERP, a production execution system MES, an inventory management system WMS, a process control system PCS, a third-party supply chain TSC, a bottom-layer internet of things system ULS, and the like.
And the enterprise application is used for providing a service interface for data sharing and analyzing and sharing the data through the application end PC or/and the application end APP.
Specifically, the data center platform forms data assets from enterprise data under the distributed SOA framework, and enables foreground and background services of the enterprise from the data value perspective.
Specifically, the data center platform imports data from the back end of an enterprise, performs data sharing fusion, organization processing, modeling analysis, management and administration, service application and the like, unifies data standards, and provides services in the mode of an Application Program Interface (API).
Specifically, the data center station provides decision analysis quick response, refined operation and application support for foreground business departments of enterprise application, enables data to be in business, eliminates information islands, and improves enterprise application business efficiency.
Specifically, the data center station comprises data assets, data management, data processing, data calculation, a data model, a data security, a rule engine and an analysis engine, and the data center station analyzes the converged data and assigns the data to a foreground business department of enterprise application.
Specifically, the data model of the data center station has a cross-department neutral characteristic, can express and cover all different types of business applications, and can shield the influence of data source changes on the business applications.
Specifically, the business middle station comprises homepage management, protocol management, visualization, lean management, state management, supply chain, energy efficiency management and quality management, and forms an integrated model of service sharing
The test results of the two examples show that: this integrated model of platform and platform in business in data based on multi-technology integration, platform and platform in the business in the data through setting up, through intermediate level data between enterprise's rear end and enterprise application, a lot of recalculations that can significantly reduce, divide into a plurality of subtasks with the complicated problem and accomplish, every layer is handled single step, need not restore all data when data have a problem, only need repair from the problem point, the proscenium business department who applies for the enterprise provides decision-making analysis quick response, operation and application support become more meticulous, let the data commercialization, the information island is eliminated, promote enterprise application service efficiency.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. An integrated model of a data center and a business center based on multi-technology fusion is characterized by comprising the data center, the business center, an enterprise rear end and enterprise applications, wherein the integrated model is used for realizing data sharing and service sharing of multi-type enterprise cluster business applications by utilizing a fusion technology of full-business multi-type data analysis and intelligent modeling and adopting integrated deployment of the data center and the business center;
the data center station is used for inducing and abstracting the common requirements of the enterprise application services, providing data sharing for each service application processing unit in the form of interfacing, componentizing and platformizing, and is a sharing platform for performing service analysis on enterprise application data;
the business center is used for providing classification services for data analysis of different industries in the industrial Internet facing to the multi-type enterprise clusters, and forming a service sharing component and a product model by combining different industry application scenes;
the enterprise back end is used for carrying out management authority operation on each system, so that data of each system can be synchronously shared with data of enterprise application;
and the enterprise application is used for providing a service interface for data sharing and analyzing and sharing the data through the application end PC or/and the application end APP.
2. The multi-technology fusion-based integration model of the data center and the business center, as claimed in claim 1, is characterized in that the data center forms enterprise data into data assets under a distributed deployed SOA framework and enables the foreground and background businesses of the enterprise from the data value perspective.
3. The multi-technology fusion-based integration model of the data center and the business center, as claimed in claim 2, is characterized in that the data center imports data from the back end of an enterprise, performs data sharing fusion, organization and processing, modeling analysis, management and treatment, service application, etc., and unifies data standards to provide services in the form of Application Program Interface (API).
4. The integration model of the data center station and the business center station based on the multi-technology fusion as claimed in claim 2, wherein the data center station provides decision analysis quick response, fine operation and application support for foreground business departments of enterprise applications, makes data business, eliminates information islands, and improves business efficiency of enterprise applications.
5. The multi-technology fusion-based integrated model of a data center station and a business center station is characterized in that the data center station comprises data assets, data management, data processing, data calculation, a data model, data security, a rule engine and an analysis engine, and the data center station analyzes the converged data and assigns the data to a foreground business department of enterprise application.
6. The integrated model of the data center station and the business center station based on the multi-technology fusion as claimed in claim 5, wherein the data model of the data center station has a cross-department neutral feature, can express and cover all different types of business applications, and can shield the business applications from the data source changes.
7. The integration model of the data center and the business center based on the multi-technology fusion as claimed in claim 1, wherein the business center comprises home page management, protocol management, visualization, lean management, state management, supply chain, energy efficiency management and quality management, and forms an integration model of service sharing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010931847.7A CN113395313A (en) | 2020-09-08 | 2020-09-08 | Integrated model of data center station and service center station based on multi-technology fusion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010931847.7A CN113395313A (en) | 2020-09-08 | 2020-09-08 | Integrated model of data center station and service center station based on multi-technology fusion |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113395313A true CN113395313A (en) | 2021-09-14 |
Family
ID=77616472
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010931847.7A Pending CN113395313A (en) | 2020-09-08 | 2020-09-08 | Integrated model of data center station and service center station based on multi-technology fusion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113395313A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116362839A (en) * | 2023-03-31 | 2023-06-30 | 武汉筑链科技有限公司 | Electronic purchasing ecological management platform based on supply chain finance and management method thereof |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174957A (en) * | 2007-10-09 | 2008-05-07 | 南京财经大学 | Cooperation service platform facing different source data |
| US20150142949A1 (en) * | 2013-11-18 | 2015-05-21 | Nuwafin Holdings Ltd | System and method for collaborative designing, development, deployment, execution, monitoring and maintenance of enterprise applications |
| CN105809356A (en) * | 2016-03-14 | 2016-07-27 | 浪潮软件股份有限公司 | Information system resource management method based on application integrated cloud platform |
| CN109660574A (en) * | 2017-10-10 | 2019-04-19 | 阿里巴巴集团控股有限公司 | Data offering method and device |
| CN110738454A (en) * | 2019-08-27 | 2020-01-31 | 格局商学教育科技（深圳）有限公司 | enterprise management platform system |
| CN110865801A (en) * | 2019-11-08 | 2020-03-06 | 南瑞集团有限公司 | Micro-service-based electric power transaction platform business center platform and application method thereof |
| CN111143465A (en) * | 2019-12-11 | 2020-05-12 | 深圳市中电数通智慧安全科技股份有限公司 | Method and device for realizing data center station and electronic equipment |
| CN111209269A (en) * | 2019-12-16 | 2020-05-29 | 云赛智联股份有限公司 | Big data management system of wisdom city |
| CN111539622A (en) * | 2020-04-22 | 2020-08-14 | 国网信通亿力科技有限责任公司 | Collective enterprise project management platform based on cloud platform and micro-service architecture |
| CN111597267A (en) * | 2020-05-21 | 2020-08-28 | 中建材信息技术股份有限公司 | Data middlebox based on multilayer service engine and construction method |
-
2020
- 2020-09-08 CN CN202010931847.7A patent/CN113395313A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101174957A (en) * | 2007-10-09 | 2008-05-07 | 南京财经大学 | Cooperation service platform facing different source data |
| US20150142949A1 (en) * | 2013-11-18 | 2015-05-21 | Nuwafin Holdings Ltd | System and method for collaborative designing, development, deployment, execution, monitoring and maintenance of enterprise applications |
| CN105809356A (en) * | 2016-03-14 | 2016-07-27 | 浪潮软件股份有限公司 | Information system resource management method based on application integrated cloud platform |
| CN109660574A (en) * | 2017-10-10 | 2019-04-19 | 阿里巴巴集团控股有限公司 | Data offering method and device |
| CN110738454A (en) * | 2019-08-27 | 2020-01-31 | 格局商学教育科技（深圳）有限公司 | enterprise management platform system |
| CN110865801A (en) * | 2019-11-08 | 2020-03-06 | 南瑞集团有限公司 | Micro-service-based electric power transaction platform business center platform and application method thereof |
| CN111143465A (en) * | 2019-12-11 | 2020-05-12 | 深圳市中电数通智慧安全科技股份有限公司 | Method and device for realizing data center station and electronic equipment |
| CN111209269A (en) * | 2019-12-16 | 2020-05-29 | 云赛智联股份有限公司 | Big data management system of wisdom city |
| CN111539622A (en) * | 2020-04-22 | 2020-08-14 | 国网信通亿力科技有限责任公司 | Collective enterprise project management platform based on cloud platform and micro-service architecture |
| CN111597267A (en) * | 2020-05-21 | 2020-08-28 | 中建材信息技术股份有限公司 | Data middlebox based on multilayer service engine and construction method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116362839A (en) * | 2023-03-31 | 2023-06-30 | 武汉筑链科技有限公司 | Electronic purchasing ecological management platform based on supply chain finance and management method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Leyh et al. | SIMMI 4.0-a maturity model for classifying the enterprise-wide it and software landscape focusing on Industry 4.0 | |
| CN101515308A (en) | Data management system for vehicle products and collaborative design method thereof | |
| Gong et al. | Modeling and optimization for automobile mixed assembly line in industry 4.0 | |
| Lo et al. | Evaluating the interrelationships of industrial 5.0 development factors using an integration approach of Fermatean Fuzzy Logic | |
| CN113395311A (en) | Method for constructing rule engine based on SOA and distributed deployment | |
| Abdul-Azalova et al. | Big data technologies in technological and business processes automatization | |
| CN113395313A (en) | Integrated model of data center station and service center station based on multi-technology fusion | |
| Morshedzadeh et al. | Managing virtual factory artifacts in the extended PLM context | |
| Mandava | The use of contemporary Enterprise Resource Planning (ERP) technologies for digital transformation | |
| Han | WBS-free scheduling method based on database relational model | |
| Mentsiev et al. | Cloud computing in industrial automation systems | |
| Pan et al. | Manufacturing Execution System present situation and development trend analysis | |
| Kozlov | Problematic aspects of integrating a complete group of processes in the lifecycle of robotic control systems | |
| Kumaraswamy et al. | A review on challenges and opportunities for implementing Industry 4.0 in India | |
| CN113395312A (en) | SOA framework-based distributed deployment model with middlet technology as kernel | |
| Qin et al. | The Impact of R&D Investment and Policy Support on Intelligent Manufacturing Level: Based on the fsQCA Method | |
| Yehorchenkova et al. | The Concept of an" Add-On" of a functional portfolio and project management environment | |
| Абдул-Азалова et al. | Big data technologies in technological and business processes automatization | |
| Liu et al. | Characteristics analysis of cloud services based on complex network | |
| Wang et al. | Research on the Development Countermeasure of Supply Side Reform of China's Productive Service Industry Based on System Dynamics | |
| Dong et al. | Research and Application of CAD/CAE Integration for Nuclear Power Equipment Design | |
| Wang | Analysis on the Development and Innovation Path of Chemical Fiber Industry Promoted by Digital Technology | |
| Hao | Formation and Evolution of the Global Manufacturing and Service Modular Network | |
| Wang et al. | Process planning service model design for cloud manufacturing | |
| Ilasheva et al. | INCREASING THE COMPETITIVENESS OF THE MACHINE-BUILDING INDUSTRY OF THE REPUBLIC OF KAZAKHSTAN |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210914 |