Optimization management system based on Internet platform

Abstract

The invention discloses an optimization management system based on an internet platform. An operation method of the system comprises the following steps: performing composition control management of the industrial internet platform; performing control processing on information fusion and acquisition of the industrial internet platform; operation optimization analysis management of the industrial internet platform is carried out; and operation optimization analysis management of the industrial internet platform is carried out. The step of carrying out composition control management on the industrial internet platform comprises the step of carrying out composition control management on the industrial internet platform, the industrial internet platform comprises an edge layer, an infrastructure layer (IaaS), a platform layer (industrial PaaS) and an application layer (industrial SaaS), the edge layer performs data acquisition, protocol analysis and conversion of heterogeneous data and edge data processing, the infrastructure layer provides cloud infrastructure for the platform, and the platform layer realizes collection, storage, deep processing and mining of industrial data. The system has the advantages of being efficient in control management and high in stability.

Description

Technical Field

[0001] The present invention relates to the field of Internet technology, and in particular to an optimization management system based on an Internet platform. Background Art

[0002] As a product of the deep integration of information technology and manufacturing, the industrial Internet platform is based on a service system that collects, aggregates and analyzes industrial big data in massive industry data, supports ubiquitous connection, flexible supply and efficient configuration of manufacturing resources, analyzes industrial big data with the help of big data technology, integrates upstream and downstream information resources, and can provide manufacturing companies with functional applications, industry solutions and related knowledge models in R&D design, production and manufacturing, sales and operations, etc., to meet the needs of enterprises, reduce their operating risks and costs, and help them transform and upgrade. However, due to the different format standards of industrial data in the platform, the wide range of information sources, diverse structures, large amount of industrial equipment access, and different data quality, the massive information resources in the platform cannot be fully utilized and cannot play their due value, and the development of the industrial Internet platform is restricted. Therefore, it is necessary to design an optimization management system based on the Internet platform with efficient control management and strong stability. Summary of the invention

[0003] The purpose of the present invention is to provide an optimization management system based on an Internet platform to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: an optimization management method based on an Internet platform, comprising: Conduct composition control and management of the industrial Internet platform; Control and process the information fusion and acquisition of the industrial Internet platform; Conduct operation optimization, analysis and management of the industrial Internet platform; Conduct operation optimization, analysis and management of the Industrial Internet platform.

[0005] According to the above technical solution, the composition control and management of the industrial Internet platform includes: The industrial Internet platform is structured, controlled and managed, and consists of an edge layer, an infrastructure layer (IaaS), a platform layer (industrial PaaS) and an application layer (industrial SaaS). The edge layer performs data collection, protocol parsing and conversion of heterogeneous data, and edge data processing. The infrastructure layer provides cloud infrastructure for the platform. The platform layer realizes the collection, storage, in-depth processing and mining of industrial data. The application layer is the gateway for external services and directly connects with various users of the platform.

[0006] According to the above technical solution, the control processing of information fusion and acquisition of the industrial Internet platform includes: Carry out information fusion processing at different levels of the industrial Internet platform, including the data layer, ontology layer, fusion layer and application layer, to meet the information service needs of the platform and users; A statistical method is used to select the feature weight function TF-IDF as an indicator to acquire domain concepts or extract keywords for the industrial Internet platform.

[0007] According to the above technical solution, the operation optimization analysis and management of the industrial Internet platform includes: Perform data cleaning on the acquired industrial Internet data information, including missing value processing and data standardization. After the cleaning process is completed, further text processing is performed, using Jieba to segment the text information, and using the search engine mode to further divide the words; The standards corresponding to the industrial Internet platform are used as the information source. After text processing, the relevant concept vocabulary and word frequency data are obtained. Then, through intelligent screening, the information concept set is obtained as a concept vocabulary for ontology construction, and the information ontology of the industrial Internet platform is constructed. The information ontology of the industrial Internet platform is further integrated, starting from the nodes selected in the first layer, traversing all nodes in the ontology, and calculating the comprehensive similarity of concepts.

[0008] According to the above technical solution, the operation optimization analysis and management of the industrial Internet platform includes: Collect the real-time operation and processing data information of the industrial Internet platform, organize it into a set format, and transmit it to the workbench for management personnel to review and analyze; After the collected and organized data information is backed up, it will be stored in the blockchain to effectively ensure the security of the data information.

[0009] According to the above technical solution, an optimization management system based on an Internet platform includes: Management and control module, used for data information management and control of the industrial Internet platform; Analysis and optimization module, used for analysis and optimization of the industrial Internet platform; The transmission and storage module is used for transmission, storage and management of data information.

[0010] According to the above technical solution, the management control module includes: The composition management module is used to manage the composition of the industrial Internet platform; Information fusion module, used for fusion control of industrial data information; The information acquisition module is used to collect and acquire industrial data information.

[0011] According to the above technical solution, the analysis and optimization module includes: Cleaning processing module, used for cleaning control processing of industrial data information; Modeling and processing module, used to build the information ontology management of the industrial Internet platform; The integrated processing module is used to integrate and control data information.

[0012] According to the above technical solution, the transmission storage module includes: Transmission and display module, used to transmit and display data information of the industrial Internet platform; The information storage module is used for data information backup storage management.

[0013] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by providing a management control module, an analysis and optimization module, and a transmission and storage module, can effectively improve the response speed and data transmission speed of the industrial Internet platform, can realize the collection, storage, deep processing and mining of industrial data, better play the value of industrial data, provide users with service support that matches their needs, and realize the accumulation, precipitation, reuse and innovation of industrial knowledge and related experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 is a flow chart of an optimization management method based on an Internet platform provided in Embodiment 1 of the present invention; Figure 2 This is a module structure diagram of an optimization management system based on an Internet platform provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1: Figure 1This is a flowchart of an optimization management method based on an Internet platform provided in Embodiment 1 of the present invention. This embodiment can be applied to an industrial Internet management system. The method can be executed by an optimization management system based on an Internet platform provided in an embodiment of the present invention. The system is composed of multiple software and hardware modules, such as Figure 1 As shown, the method specifically comprises the following steps: S101. Conduct composition control and management of the industrial Internet platform; Exemplarily, in an embodiment of the present invention, the industrial Internet platform is structured, controlled and managed so that the industrial Internet platform includes an edge layer, an infrastructure layer (IaaS), a platform layer (industrial PaaS) and an application layer (industrial SaaS), wherein the edge layer performs data collection, protocol parsing and conversion of heterogeneous data, and processing of edge data; the infrastructure layer provides cloud infrastructure for the platform; the platform layer realizes the collection, storage, in-depth processing and mining of industrial data; the application layer is the gateway for external services and directly connects with various users of the platform; in this step, the main tasks of the edge layer include the collection of massive data, the normalization and integration of multi-source heterogeneous data, the aggregation and processing of underlying data, and the integration into the cloud platform, which can effectively improve the response speed and data transmission speed of the platform; the infrastructure layer mainly provides the platform with a cloud infrastructure including Internet, servers, computing, storage, resource management and other functions The infrastructure layer provides complete cloud infrastructure services for the functional operation of the platform layer and application layer, the supply of application services, etc. The platform layer (PaaS) includes application development, industrial microservice component library, industrial data modeling and analysis, industrial big data system, resource deployment and management and other services and functions, which can realize the collection, storage, deep processing and mining of industrial data, and better play the value of industrial data. The application layer (SaaS) is the key to the industrial Internet platform. It is the gateway to external services and directly connects with various users of the platform to reflect the ultimate application value of industrial data. The application layer provides users with service support that matches their needs based on the industrial APPs in design, production, management, operation, and service scenarios developed by various developers based on the rich industrial microservice component library and application development environment of the platform layer, so as to realize the accumulation, precipitation, reuse and innovation of industrial knowledge and related experience.

[0017] S102. Control and process the information fusion and acquisition of the industrial Internet platform; Exemplarily, in an embodiment of the present invention, information fusion processing is performed on different layers of the industrial Internet platform, including the data layer, the ontology layer, the fusion layer and the application layer, to meet the information service needs of the platform and users; in this step, the data layer is the basis for information resource management and information fusion, and gathers various types of information from the industrial Internet platform and its users, including but not limited to business data, product data, capability data and user data. The ontology layer describes data and information with a unified specification, which is an important link in information fusion, and establishes a platform information ontology based on relevant knowledge in the field of the industrial Internet platform, and establishes corresponding local ontologies based on information from different data sources, providing basic conditions for information fusion. The fusion layer is a key link in realizing the fusion of various types of information on the industrial Internet platform. The relationship between entities is discovered through ontology mapping, and the ontologies are merged according to the mapping relationship and fusion rules, and then an information database is established. The application layer is the application of the information fusion results, and provides information retrieval, information mining, and information reasoning services by using the fused information database.

[0018] A statistical method is adopted, and the feature weight function TF-IDF is selected as an indicator to obtain the domain concepts set by the industrial Internet platform or extract keywords. In this step, after determining the information needs, the industrial Internet platform collects and obtains information resources from various aspects. The information mainly comes from the products and services in the platform, platform users, user interactions, enterprise information systems, etc. Therefore, through this step, the data is processed to realize the mapping from text vocabulary to concepts, thereby obtaining domain concepts and forming an information resource library that meets the needs of decision-making, so as to support the smooth execution of decision-making and service processes.

[0019] S103. Conduct operation optimization, analysis and management of the industrial Internet platform; Exemplarily, in an embodiment of the present invention, the acquired industrial Internet data information is subjected to data cleaning processing, including missing value processing and data standardization processing. After the cleaning processing is completed, text processing is further performed, Jieba is used to perform word segmentation processing on the text information, and the search engine mode is used to further divide the words. In this step, when there are a large number of missing values ​​in attributes of a piece of information, very little valid information is contained and key attributes are missing, the available value is low, so the tuple containing the missing values ​​is directly deleted. When performing data analysis and data mining, it is necessary to define the attributes of the data within a certain range to eliminate the influence of different magnitudes of different attributes of the information. Therefore, a normalization method is used to map the original value to the interval [0, 1] through the maximum and minimum values ​​of the attributes. The miscellaneous words contained in the text information will affect the final analysis effect. Therefore, after the text is segmented, the miscellaneous words, prepositions, conjunctions and other words that have no actual meaning that meet the set requirements are deleted. At the same time, the stop word list required for different text information will be different, so special words with higher frequency are added as needed.

[0020] Taking the standards corresponding to the industrial Internet platform as the information source, the text is processed to obtain relevant concept vocabulary and word frequency data, and then the information concept set is obtained through intelligent screening as a concept vocabulary for ontology construction to construct the industrial Internet platform information ontology; since there is no unified data standard in the field of industrial Internet platforms, the use and exchange of information between platform companies and even between different modules within the platform are hindered. In order to facilitate the mapping connection between ontologies in subsequent work, the industrial Internet platform information ontology is established through this step to provide semantic descriptions and sample standards for public knowledge in the field.

[0021] The information ontology of the industrial Internet platform is further integrated, starting from the node selected in the first layer, all nodes in the ontology are traversed to calculate the comprehensive similarity of concepts; in this step, if there is a similar or equal concept pair in a certain node, the node is marked as a fusion node, and the fusion node in the marked descendant node is merged and adjusted to merge the attribute, relationship and instance information, and the descendant nodes without similar or equal concepts are marked and added to the corresponding level of the ontology, and the relationship and attributes of the corresponding nodes are adjusted at the same time, otherwise the next layer of nodes are traversed, and the comprehensive similarity of concepts is calculated until all nodes are traversed. If no similar node is found after traversing all nodes, the node is directly added to the corresponding level, and the relationship and attributes are adjusted before marking.

[0022] S104. Conduct operation optimization, analysis and management of the industrial Internet platform; Exemplarily, in an embodiment of the present invention, the real-time operation processing data information of the industrial Internet platform is collected, and the data information is organized into a set format and transmitted to the workbench for management personnel to review and analyze; After the collected and organized data information is backed up, it will be stored in the blockchain to effectively ensure the security of the data information.

[0023] Embodiment 2: Embodiment 2 of the present invention provides an optimization management system based on an Internet platform. Figure 2 A schematic diagram of the module structure of an optimization management system based on an Internet platform provided in the second embodiment, such as Figure 2 As shown, the system includes: Management and control module, used for data information management and control of the industrial Internet platform; Analysis and optimization module, used for analysis and optimization of the industrial Internet platform; The transmission and storage module is used for transmission, storage and management of data information.

[0024] In some embodiments of the present invention, the management control module includes: The composition management module is used to manage the composition of the industrial Internet platform; Information fusion module, used for fusion control of industrial data information; The information acquisition module is used to collect and acquire industrial data information.

[0025] In some embodiments of the present invention, the analysis and optimization module includes: Cleaning processing module, used for cleaning control processing of industrial data information; Modeling and processing module, used to build the information ontology management of the industrial Internet platform; The integrated processing module is used to integrate and control data information.

[0026] In some embodiments of the present invention, the transmission storage module includes: Transmission and display module, used to transmit and display data information of the industrial Internet platform; The information storage module is used for data information backup storage management.

[0027] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0028] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An optimization management method based on an Internet platform, characterized in that: include: Conduct composition control and management of the industrial Internet platform; Control and process the information fusion and acquisition of the industrial Internet platform; Conduct operation optimization, analysis and management of the industrial Internet platform; Conduct operation optimization, analysis and management of the Industrial Internet platform.

2. The optimization management method based on the Internet platform according to claim 1, characterized in that: The structure control and management of the industrial Internet platform includes: The industrial Internet platform is structured, controlled and managed, and consists of an edge layer, an infrastructure layer (IaaS), a platform layer (industrial PaaS) and an application layer (industrial SaaS). The edge layer performs data collection, protocol parsing and conversion of heterogeneous data, and edge data processing. The infrastructure layer provides cloud infrastructure for the platform. The platform layer realizes the collection, storage, in-depth processing and mining of industrial data. The application layer is the gateway for external services and directly connects with various users of the platform.

3. The optimization management method based on the Internet platform according to claim 1, characterized in that: The control processing of information fusion and acquisition of the industrial Internet platform includes: Carry out information fusion processing at different levels of the industrial Internet platform, including the data layer, ontology layer, fusion layer and application layer, to meet the information service needs of the platform and users; A statistical method is used to select the feature weight function TF-IDF as an indicator to acquire domain concepts or extract keywords for the industrial Internet platform.

4. The optimization management method based on the Internet platform according to claim 1, characterized in that: The operation optimization analysis and management of the industrial Internet platform includes: Perform data cleaning on the acquired industrial Internet data information, including missing value processing and data standardization. After the cleaning process is completed, further text processing is performed, using Jieba to segment the text information, and using the search engine mode to further divide the words; The standards corresponding to the industrial Internet platform are used as the information source. After text processing, the relevant concept vocabulary and word frequency data are obtained. Then, through intelligent screening, the information concept set is obtained as a concept vocabulary for ontology construction, and the information ontology of the industrial Internet platform is constructed. The information ontology of the industrial Internet platform is further integrated, starting from the nodes selected in the first layer, traversing all nodes in the ontology, and calculating the comprehensive similarity of concepts.

5. The optimization management method based on the Internet platform according to claim 1, characterized in that: The operation optimization analysis and management of the industrial Internet platform includes: Collect the real-time operation and processing data information of the industrial Internet platform, organize it into a set format, and transmit it to the workbench for management personnel to review and analyze; After the collected and organized data information is backed up, it will be stored in the blockchain to effectively ensure the security of the data information.

6. An optimization management system based on an Internet platform, characterized in that: include: Management and control module, used for data information management and control of the industrial Internet platform; Analysis and optimization module, used for analysis and optimization of the industrial Internet platform; The transmission and storage module is used for transmission, storage and management of data information.

7. The optimization management system based on the Internet platform according to claim 6, characterized in that: The management control module includes: The composition management module is used to manage the composition of the industrial Internet platform; Information fusion module, used for fusion control of industrial data information; The information acquisition module is used to collect and acquire industrial data information.

8. The optimization management system based on the Internet platform according to claim 6, characterized in that: The analysis and optimization module includes: Cleaning processing module, used for cleaning control processing of industrial data information; Modeling and processing module, used to build the information ontology management of the industrial Internet platform; The integrated processing module is used to integrate and control data information.

9. The optimization management system based on the Internet platform according to claim 6, characterized in that: The transmission storage module comprises: Transmission and display module, used to transmit and display data information of the industrial Internet platform; The information storage module is used for data information backup storage management.

Images