CN112101894A - Coal dressing intelligent system - Google Patents
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Abstract
The invention discloses a coal preparation intelligent system, which receives massive data sources through a data access layer, and performs real-time calculation and off-line calculation by using a data research and development layer after synchronizing the received data sources; then, the data development layer is utilized to carry out data asset management service of global fusion through a big data algorithm modeling platform; the data service layer provides data exchange, sharing and API service for various applications, advanced big data, artificial intelligence, Internet of things, cloud computing and other internet technologies are deeply integrated into a complex manufacturing process, a factory brain platform with global perception, global cooperation and full-line intelligence is created, comprehensive digital and intelligent transformation of an enterprise is greatly promoted, the value brought by data is deeply mined, the continuous competitiveness of the enterprise is further improved, and the profitability of the enterprise is continuously enhanced.
Description
Technical Field
The invention relates to the technical field of enterprise management, in particular to an intelligent coal preparation system.
Background
Because the advanced internet technologies such as big data, artificial intelligence, internet of things and cloud computing are advocated to be deeply fused into a complex manufacturing process at present, a factory brain platform with global perception, global coordination and global intelligence is created, the digitization and intelligent transformation rate of enterprises is low in the current enterprise platform management of coal raw material selection, and the continuous competitiveness of the enterprises can be reduced.
Disclosure of Invention
The invention aims to provide an intelligent coal dressing system, which improves the continuous competitiveness of enterprises.
In order to achieve the purpose, the invention provides a coal dressing intelligent system, which comprises a data access layer, a data research and development layer, a data development layer and a data service layer, wherein the data access layer, the data research and development layer, the data development layer and the data service layer are sequentially connected;
the data access layer is used for providing access capability for various data sources and simultaneously providing off-line data synchronization and real-time data acquisition and synchronization;
the data research and development layer is used for providing real-time calculation and various off-line calculations of a spark stream method;
the data development layer is used for providing data asset management service of global fusion;
the data service layer is used for providing data exchange, sharing and API service for various applications.
The data development layer comprises a physical support module, an application module and an operation and maintenance module, wherein the physical support module, the application module and the operation and maintenance module are sequentially connected, and the application module is also connected with the data development layer;
the physical support module is used for providing a plurality of processor supports for the application module;
the application module is used for establishing a database according to the received data and carrying out data fusion by utilizing a big data algorithm modeling platform;
and the operation and maintenance module is used for recording and monitoring the operation of the application module and managing data and configuration.
The application module comprises a database unit and a big data algorithm unit, and the database unit is connected with the big data algorithm unit;
the database unit is used for establishing a database according to all data transmitted by the data research and development layer;
and the big data algorithm unit is used for calculating corresponding decision information by utilizing the built big data algorithm modeling platform, and carrying out tuning and deployment on the decision information.
The operation and maintenance module comprises a data management unit and a configuration management unit, the data management unit is connected with the database unit, and the configuration management unit is connected with the big data algorithm unit;
the data management unit is used for managing data quality, data assets, data modeling standards and data desensitization and dividing data authority;
and the configuration management unit is used for managing a data map, a blood relationship, a label and task operation and maintenance.
The data development layer also comprises an opinion precipitation layer, and the opinion precipitation layer is connected with the configuration management unit;
and the opinion precipitation layer is used for providing professional algorithm components and solutions for the big data algorithm modeling platform.
The coal preparation intelligent system comprises a data access layer, a data research and development layer, a data development layer and a data service layer, wherein massive data sources are received through the data access layer, and after the received data sources are synchronized, the data research and development layer is used for performing real-time calculation and off-line calculation; then, the data development layer is utilized to carry out data asset management service of global fusion through a big data algorithm modeling platform; the data service layer provides data exchange, sharing and API service for various applications, advanced big data, artificial intelligence, Internet of things, cloud computing and other internet technologies are deeply integrated into a complex manufacturing process, a factory brain platform with global perception, global cooperation and full-line intelligence is created, comprehensive digital and intelligent transformation of an enterprise is greatly promoted, the value brought by data is deeply mined, the continuous competitiveness of the enterprise is further improved, and the profitability of the enterprise is continuously enhanced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent system for coal preparation provided by the invention.
Fig. 2 is a schematic structural diagram of an application module provided in the present invention.
Fig. 3 is a schematic diagram of an enhanced operation and maintenance module according to the present invention.
The system comprises a data access layer 1, a data research and development layer 2, a data development layer 3, a data service layer 4, a physical support module 5, an application module 6, an operation and maintenance module 7, a database unit 61, a big data algorithm unit 62, a storage unit 63, a data management unit 71, a configuration management unit 72, a log recording unit 73, a monitoring unit 74 and an opinion precipitation layer 8.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Referring to fig. 1 to 3, the invention provides an intelligent coal preparation system, which includes a data access layer 1, a data research and development layer 2, a data development layer 3 and a data service layer 4, wherein the data access layer 1, the data research and development layer 2, the data development layer 3 and the data service layer 4 are connected in sequence;
the data access layer 1 is used for providing access capability for various data sources and simultaneously providing off-line data synchronization and real-time data acquisition and synchronization;
the data research and development layer 2 is used for providing real-time calculation and various off-line calculations of a spark stream method;
the data development layer 3 is used for providing data asset management service of global fusion;
and the data service layer 4 is used for providing data exchange, sharing and API (application programming interface) services for various applications.
In the present embodiment, the overall architecture of the coal preparation intelligent system covers the data access layer 1, the data research and development layer 2, the data development layer 3 (including IaaS layer, PaaS layer, SaaS layer), and the data service layer 4. The data acquisition, transmission, storage, modeling, application development and service users of the external, online, offline, IT and OT of the company are realized. The core task of the software platform building part of the coal preparation intelligent system is the construction of a PaaS layer data resource management sub-platform and a big data algorithm modeling platform, the data management and standardization are completed in the data resource management system building, a unified standard data warehouse and data system of man, machine, material, method, ring, energy, measurement and the like are standardized, and data service is provided for the outside.
System hardware network architecture. And the user request is forwarded to the portal server cluster through the portal load balancing server, the report related service is forwarded to the report server cluster for processing, and meanwhile, the source service system data is converted through the etl server cluster. The report server cluster and the etl server cluster also interact with the big data cluster, and data resource management and algorithm modeling analysis support are provided through the big data cluster.
Firstly, the data access layer 1 provides access capability to mass data sources, and the access capability includes: relational databases, big data storage, semi-structured data, time series data, message queues, IOT, etc.; and offline data synchronization, real-time data acquisition support and incremental and full synchronization support are provided. The data development layer 2 then provides real-time Spark Streaming based calculations; providing offline calculation based on Hadoop3.0, Hive2.1.0, Spark2.4.0, search engine, MPP; then, data is transmitted to the data development layer 3, and a data asset management service of global fusion is provided: data maps, consanguinity, labels, catalogs, etc.; various data quality check rules are built in, double-table row-by-row check is supported, and table-level and field-level data quality monitoring and the like are supported. Finally, the data service layer 4 provides data exchange, sharing and API service for all kinds of applications, including a recommendation system, a visual large screen, a mobile machine learning framework, a mobile phone application, a PC application and the like, a data center management system of an enterprise is built to serve as a digital infrastructure of the enterprise, all data of all business departments and systems such as research and development, sales, production, supply chain, quality, after-sales service and the like are communicated, the problems of information isolated island and data value failure of the enterprise are solved, and real-time full-volume online of data is realized; creating a digital basic system, establishing a digital collaborative scheduling system for operation and a digital intelligent decision and optimization system; the advanced internet technologies such as big data, artificial intelligence, internet of things and cloud computing are deeply fused into a complex manufacturing process, a global perception, global cooperation and full-line intelligence 'factory brain platform' is created, comprehensive digital and intelligent transformation of an enterprise is greatly promoted, the value brought by data is deeply mined, the continuous competitiveness of the enterprise is further improved, and the profitability of the enterprise is continuously enhanced.
Further, the data development layer 3 includes a physical support module 5, an application module 6 and an operation and maintenance module 7, the physical support module 5, the application module 6 and the operation and maintenance module 7 are connected in sequence, and the application module 6 is further connected with the data development layer 2;
the physical support module 5 is configured to provide a plurality of processor supports for the application module 6;
the application module 6 is used for establishing a database according to the received data and carrying out data fusion by utilizing a big data algorithm modeling platform;
and the operation and maintenance module 7 is used for recording and monitoring the operation of the application module 6 and managing data and configuration.
In the embodiment, the physical support module 5 provides various and different numbers of processors (such as GPU, k8s, etc.) for application support to the application module 6, and after strong processor support, the application module 6 can establish a database according to the received data, and perform data fusion by utilizing a big data algorithm modeling platform, meanwhile, the operation and maintenance module 7 provides operation and maintenance support, combines industrial knowledge such as industrial mechanism, experience, management mode, design criterion and the like with an intelligent algorithm, by utilizing natural language to process NLP, the intelligent decision system facing to a specific scene is rapidly developed and realized, the value behind data is deeply mined, the operation and maintenance module 7 is equivalent to a data resource management sub-platform, is a data development and management platform, the method is used for building a data center, and enables a data developer to use a factory brain like a traditional database. The product needs to provide functions of general overview, data integration, data development, data operation and maintenance, data quality, data labels, service development, data models and the like, can collect, get through and recombine enterprise data into a truly usable data middle platform clearly defined by 'human-machine material law ring' through a full link of data collection, storage, calculation, application and the like in the whole generation process, helps the enterprise master data asset state, and provides uniform and efficient data service for each business.
Further, the application module 6 comprises a database unit 61 and a big data algorithm unit 62, wherein the database unit 61 is connected with the big data algorithm unit 62;
the database unit 61 is configured to establish a database according to all data transmitted by the data research and development layer 2;
the big data algorithm unit 62 is configured to calculate corresponding decision information by using the built big data algorithm modeling platform, and adjust, optimize and deploy the decision information.
In this embodiment, since the data access layer 1 receives a large amount of data sources, the database unit 61 is used to store all the received data sources for subsequent use, and then the large data algorithm modeling platform constructed in the large data algorithm unit 62 is used to perform rapid and flexible assembly on the required data according to the service appeal of different departments in different scenes, and the large data algorithm modeling system is used to cooperate with standard data blocks from different service systems to calculate the output decision result in combination with service rules, mechanism rules, service data, AI intelligence and the like; the generated decision information returns to the big data resource management system again through the executed result, so that a data loop is formed, and the decision process is continuously self-learned and optimized through an AI algorithm.
The big data algorithm modeling platform enables industrial mechanism and industrial experience to be normalized and digitalized continuously, can be shared and deposited cooperatively, fuses the industrial mechanism and industrial experience with a big data artificial intelligence algorithm, and deposits an industrial algorithm model. The big data algorithm modeling platform has the advantages of flexible framework:
supporting multiple computing engines such as MaxCommute, Hadoop and the like;
supporting HDFS, ODPS, OSS, MySql, Oracle and a local data source;
supporting an open source Spark tool;
fourthly, supporting a plurality of language compiling environments such as Java, Python, Nodejs and the like;
providing online development tools such as VSCode, notewood and the like;
and the big data algorithm modeling platform fuses the industrial intelligent model and the actual business process to develop an industrial intelligent business program. The graphical digital business decision process is provided, the algorithm model is integrated into the business decision process, any configuration is supported, the configuration is deployed and released, the components are flexible, and the multiplexing under the cross-industry scene is met.
The big data algorithm modeling platform is an industrial intelligent modeling cooperation platform, is used for developing industrial intelligent application, can quickly complete data model establishment, tuning and deployment application, improves efficiency and reduces cost.
Further, the application module 6 further includes a storage unit 63, and the storage unit 63 is connected to the big data algorithm unit 62;
the storage unit 63 is configured to store the decision information generated by the big data algorithm unit 62.
In this embodiment, the storage unit 63 is utilized to store the decision information generated by the big data algorithm unit 62, so as to facilitate the subsequent search and the use of the data service layer 4.
Further, the operation and maintenance module 7 includes a data management unit 71 and a configuration management unit 72, the data management unit 71 is connected with the database unit 61, and the configuration management unit 72 is connected with the big data algorithm unit 62;
the data management unit 71 is used for managing data quality, data assets, data modeling standards and data desensitization and dividing data authority;
the configuration management unit 72 is configured to manage a data map, a blood relationship, a label, and a task operation and maintenance.
In the present embodiment, the data management unit 71 is used to manage data modeling standards, metadata, main data, data quality, and data desensitization, and to inventory data assets, and to divide different data rights for different data sources, and the configuration management unit 72 includes a blood-cut analysis (blood-cut analysis refers to a link generated by data, and in a straightforward way, what is the data, and what is the final result after what processes and stages), a label management function, an ETL development function, a task operation and maintenance function, a data map function, and the like, so as to improve the management service function of the data development layer 3.
Further, the operation and maintenance module 7 further includes a logging unit 73 and a monitoring unit 74, and the monitoring unit 74 is connected to the logging unit 73;
the log recording unit 73 is used for recording and storing all the processes;
the monitoring unit 74 is configured to monitor and warn data in the diary recording unit.
In the embodiment, since operation records and the like always exist in the data transmission and calculation processes, all operation records are saved in a log record form by the log recording unit 73 for facilitating record searching, and the log recording unit 73 has only a recording function and cannot monitor the saved data, so that whether an error exists in the behavior record in the log recording unit 73 is monitored by the monitoring unit 74, and the error data is marked and warned, thereby improving the management of the data.
Further, the data development layer 3 further includes an opinion precipitation layer 8, and the opinion precipitation layer 8 is connected to the configuration management unit 72;
and the opinion precipitation layer 8 is used for providing professional algorithm components and solutions for the big data algorithm modeling platform.
In this embodiment, because the big data algorithm unit 62 is only some internal decision opinions, professional algorithm components or solutions provided by experts in the corresponding field are added to the opinion precipitation layer 8 and are fused into the constructed big data algorithm modeling platform, so that the specialty of the decision information generated by the big data algorithm modeling platform is increased, the continuous competitiveness of an enterprise is further improved, and the profitability of the enterprise is continuously enhanced.
The coal preparation intelligent system comprises a data access layer 1, a data research and development layer 2, a data development layer 3 and a data service layer 4, wherein massive data sources are received through the data access layer 1, and after the received data sources are synchronized, real-time calculation and off-line calculation are carried out by utilizing the data research and development layer 2; then, the data development layer 3 is utilized to carry out data asset management service of global fusion through a big data algorithm modeling platform; and the data service layer 4 provides data exchange, sharing and API service for various applications, deeply integrates advanced big data, artificial intelligence, Internet of things, cloud computing and other internet technologies into a complex manufacturing process, creates a global perception, global cooperation and full-line intelligent 'factory brain platform', greatly promotes comprehensive digital and intelligent transformation of enterprises, deeply excavates values brought by data, further improves continuous competitiveness of the enterprises, and continuously enhances profitability of the enterprises.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. An intelligent system for coal dressing is characterized in that,
the coal preparation intelligent system comprises a data access layer, a data research and development layer, a data development layer and a data service layer, wherein the data access layer, the data research and development layer, the data development layer and the data service layer are sequentially connected;
the data access layer is used for providing access capability for various data sources and simultaneously providing off-line data synchronization and real-time data acquisition and synchronization;
the data research and development layer is used for providing real-time calculation and various off-line calculations of a spark stream method;
the data development layer is used for providing data asset management service of global fusion;
the data service layer is used for providing data exchange, sharing and API service for various applications.
2. The intelligent system for coal dressing of claim 1,
the data development layer comprises a physical support module, an application module and an operation and maintenance module, the physical support module, the application module and the operation and maintenance module are sequentially connected, and the application module is also connected with the data research and development layer;
the physical support module is used for providing a plurality of processor supports for the application module;
the application module is used for establishing a database according to the received data and carrying out data fusion by utilizing a big data algorithm modeling platform;
and the operation and maintenance module is used for recording and monitoring the operation of the application module and managing data and configuration.
3. The intelligent system for coal dressing of claim 2,
the application module comprises a database unit and a big data algorithm unit, and the database unit is connected with the big data algorithm unit;
the database unit is used for establishing a database according to all data transmitted by the data research and development layer;
and the big data algorithm unit is used for calculating corresponding decision information by utilizing the built big data algorithm modeling platform, and carrying out tuning and deployment on the decision information.
4. The intelligent system for coal dressing of claim 3,
the operation and maintenance module comprises a data management unit and a configuration management unit, the data management unit is connected with the database unit, and the configuration management unit is connected with the big data algorithm unit;
the data management unit is used for managing data quality, data assets, data modeling standards and data desensitization and dividing data authority;
and the configuration management unit is used for managing a data map, a blood relationship, a label and task operation and maintenance.
5. The intelligent system for coal dressing of claim 2,
the data development layer also comprises an opinion precipitation layer, and the opinion precipitation layer is connected with the configuration management unit;
and the opinion precipitation layer is used for providing professional algorithm components and solutions for the big data algorithm modeling platform.
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| CN117032110A (en) * | 2023-08-09 | 2023-11-10 | 北京中煤煤炭洗选技术有限公司 | Intelligent management system of coal preparation plant |
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| CN110909041A (en) * | 2019-11-12 | 2020-03-24 | 合肥帧讯软件有限公司 | Coal mine equipment safety sign management system |
| CN110991814A (en) * | 2019-11-12 | 2020-04-10 | 合肥帧讯软件有限公司 | Coal mine safety dual-prevention mechanism management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117032110A (en) * | 2023-08-09 | 2023-11-10 | 北京中煤煤炭洗选技术有限公司 | Intelligent management system of coal preparation plant |
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