CN111324062A - Industrial big data platform system - Google Patents
Industrial big data platform system Download PDFInfo
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- CN111324062A CN111324062A CN202010069140.XA CN202010069140A CN111324062A CN 111324062 A CN111324062 A CN 111324062A CN 202010069140 A CN202010069140 A CN 202010069140A CN 111324062 A CN111324062 A CN 111324062A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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Abstract
The invention belongs to the technical field of industrial big data, and particularly relates to an industrial big data platform system which comprises an industrial big data platform, wherein the industrial big data platform is connected to an enterprise terminal server, the enterprise terminal server is connected to a regional display and a local server, the enterprise terminal server is connected to a data acquisition switch, the data acquisition switch is connected to a data acquisition machine, the data acquisition machine is respectively connected to visual data, environment detection data and factory equipment data, and the industrial big data platform is connected to cloud data for storage. According to the invention, the security risk brought to industrial big data, field industrial control systems and the like due to the information security problem can be effectively reduced through the framework, real-time data monitoring and sorting can be carried out, and the risk of data loss is effectively reduced.
Description
Technical Field
The invention relates to the technical field of industrial big data, in particular to an industrial big data platform system.
Background
After years of construction and development of the industrial industry, digitization and informatization have penetrated into every corner of industrial production, rapid increase of data volume and deep application are in key nodes from volume change to quality change, and the capability of rapidly acquiring information and timely and accurately analyzing and evaluating the information becomes a core competitive element of process industrial enterprises.
To play the value of the process industry big data, the problems of complex knowledge modeling, heterogeneous knowledge models, strong timeliness of knowledge data processing and the like need to be solved.
The essential goal of the application of the industrial big data is to mine valuable new information from high-dimensional, complex and associated mass data and discover new modes and new knowledge; the method has the characteristics of close relation, strong relevance and high semantic stability of mass data, so that the ontology becomes an effective tool for solving multi-source and heterogeneous data integration.
From the enterprise management dimension, information system data and equipment data are classified into enterprise internal data, and external internet data is classified into enterprise external data.
At present, the manufacturing field ontology is independently constructed mainly according to professional knowledge of each business field in an enterprise, not only are the ontologies mutually independent, but also integration and comprehensive capacity of a large amount of information from the Internet field is lacked.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an industrial big data platform system, which solves the problems in the background technology.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an industry big data platform system, includes industry big data platform, industry big data platform is connected to enterprise terminal server, enterprise terminal server is connected to regional display and local server, enterprise terminal server is connected to the data acquisition switch, the data acquisition switch is connected to the data acquisition machine, the data acquisition machine is connected to visual data, environmental detection data and factory equipment data respectively, industry big data platform is connected to cloud data storage.
The data acquisition machine is connected to the visual data through data acquisition one, the data acquisition machine is connected to the environmental detection data through data acquisition two, the data acquisition machine is through data acquisition three-link transmission factory equipment data, the data acquisition machine is through data acquisition four-link connection to the data of other equipment.
The enterprise terminal server is divided into a data acquisition unit, a data storage unit, an offline delay processing unit and an online real-time processing unit, wherein the data acquisition unit is connected to the data storage unit, the data storage unit is connected to the offline delay processing unit, the data storage unit is connected to the online real-time processing unit, and the online real-time processing unit is connected to the data acquisition unit.
As a preferred technical scheme of the invention, the visualized data comprises report data for a factory enterprise system, map data applied to positioning, three-dimensional data applied to a modeling system and personnel information system data for factory enterprise scheduling.
As a preferred technical solution of the present invention, the environment detection data includes data used for security monitoring of a plant enterprise, data used for living environment detection inside the plant enterprise, and data used for production monitoring of the plant enterprise.
As a preferred technical solution of the present invention, the plant equipment data includes data of a smart water meter applied to plant enterprise statistics, data of a smart electric meter applied to plant enterprise statistics, and data of a smart machine applied to plant enterprise statistics.
As a preferred technical solution of the present invention, the online real-time processing unit is configured to be used for real-time monitoring of a monitoring system, for early warning and alarm mechanism, and for real-time diagnosis of a diagnostic system.
As a preferred technical solution of the present invention, the data acquisition unit is configured to be used for data analysis of data comparison, data specification for data sorting, and data cleaning for data sorting integration.
As a preferred technical solution of the present invention, the data storage unit is divided into a relational database for sorting relationships, a real-time database for data monitoring, a geographic database for map information, a distributed database for arrangement, a non-relational database, and a memory database for storage.
As a preferred technical solution of the present invention, the offline delay processing unit is configured to be used for data analysis of offline data sorting and analysis, data mining for data sorting and mining, and data drilling for data extraction.
(III) advantageous effects
Compared with the prior art, the invention provides an industrial big data platform system, which has the following beneficial effects:
1. according to the industrial big data platform system, the safety risk brought to industrial big data, a field industrial control system and the like due to the information safety problem can be effectively reduced through the structure, real-time data monitoring and sorting can be carried out, and the risk of data loss is effectively reduced.
2. This industry big data platform system directly implants the data and protects in the industry big data and be applied to the storage, independently handles through enterprise terminal server simultaneously and is used for the analysis, directly uploads the result, checks the comparison with many big data enterprises, beneficial promotion.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a block diagram of a data acquisition machine system according to the present invention;
fig. 3 is a block diagram of an enterprise terminal server system in accordance with 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 drawings in 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.
Examples
Referring to fig. 1-3, the present invention provides the following technical solutions: the utility model provides an industry big data platform system, includes industry big data platform, industry big data platform is connected to enterprise terminal server, and enterprise terminal server is connected to regional display and local server, and enterprise terminal server is connected to the data acquisition switch, and the data acquisition switch is connected to the data acquisition machine, and the data acquisition machine is connected to visual data, environmental detection data and factory equipment data respectively, and industry big data platform is connected to cloud data storage.
The data acquisition machine is connected to the visual data through data acquisition one, and the data acquisition machine is connected to the environmental monitoring data through data acquisition two, and the data acquisition machine passes through data acquisition three and transmits factory equipment data, and the data acquisition machine is connected to the data of other equipment through data acquisition four.
The enterprise terminal server is divided into a data acquisition unit, a data storage unit, an offline delay processing unit and an online real-time processing unit, wherein the data acquisition unit is connected to the data storage unit, the data storage unit is connected to the offline delay processing unit, the data storage unit is connected to the online real-time processing unit, and the online real-time processing unit is connected to the data acquisition unit.
In this embodiment, the enterprise corresponds the collection visual data through the data acquisition machine, the environmental monitoring data, factory equipment data, some connectable intelligent data that other equipment contained, and pass to enterprise terminal server with data through the data acquisition switch, through the inside flow among the enterprise terminal server, including data acquisition, data storage, after off-line delay processing and online real-time processing handled, transmit data information to the area display and show, store and investigate through local server simultaneously, and then transmit data to the industry big data platform through enterprise terminal server, the industry big data platform transmits data to cloud data storage and stores the investigation work.
Specifically, the visualized data includes report data for a factory enterprise system, map data for positioning, three-dimensional data for a modeling system, and personnel information system data for factory enterprise scheduling.
In the embodiment, the report making, the map making, the three-dimensional making and the personnel information system are all input in a manual input mode of an industrial computer, meanwhile, report personnel are manually input, the map and the three-dimensional information system are intelligently input in a personnel cooperation mode, the personnel information system is also manually input, the input record has certain accuracy, and meanwhile, certain adjustability can be achieved.
Specifically, the environment detection data includes data for security monitoring of the plant enterprise, data for living environment detection inside the plant enterprise, and data for production monitoring applied to the plant enterprise.
In this embodiment, security protection control for example with some fire control, the type-in of waterproof measure and some emergency measure equipment, living environment detects for example some harmful gas detection, weather early warning detects, greenhouse sensing detects simultaneously, production control for example the recording and the video recording effect in some safety in-process, carries out omnidirectional production control to mill or enterprise like this, accords with the standard of national production simultaneously, all can utilize industrial computer and personnel to assist and accomplish.
Specifically, the plant equipment data includes data of the smart water meter applied to plant enterprise statistics, and data of the smart machine applied to plant enterprise statistics.
In this embodiment, the intelligent water meters in the plant equipment count the water meter usage in the plant enterprise, the intelligent electric meters are used for counting the production electricity quantity in the enterprise or the plant, and some intelligent equipment such as some lighting equipment, warning equipment, announcement equipment and the like are used for auxiliary equipment and auxiliary functions of the plant enterprise, and an industrial computer and personnel can also be used for the auxiliary functions.
Specifically, the online real-time processing unit is divided into real-time monitoring for a monitoring system, alarm early warning for an early warning and alarm mechanism, and real-time diagnosis for a diagnosis system.
In this embodiment, the industrial computer is used for processing real-time monitoring, alarm early warning and real-time diagnosis, and all the services and diagnoses are processed on line in real time, and the industrial computer is a conventional industrial computer.
Specifically, the data acquisition unit is divided into data analysis for data comparison, data specification for data sorting and data cleaning for the whole data sorting.
Specifically, the data storage unit is divided into a relational database for sorting the relations, a real-time database for data monitoring, a geographic database for map information, a distributed database for arrangement, a non-relational database, and a memory database for storage.
Specifically, the offline delay processing unit is divided into data analysis for offline data sorting and analysis, data mining for data sorting and mining, and data drilling for data extraction.
In the above embodiments, the whole is calculated and assisted by using an industrial computer program and a process, so that the process is all calculated on the industrial computer, and thus the transmitted data and information are processed and fed back in time.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides an industry big data platform system, includes industry big data platform which characterized in that: the industrial big data platform is connected to an enterprise terminal server, the enterprise terminal server is connected to an area display and a local area server, the enterprise terminal server is connected to a data acquisition switch, the data acquisition switch is connected to a data acquisition machine, the data acquisition machine is respectively connected to visual data, environment detection data and factory equipment data, and the industrial big data platform is connected to cloud data storage;
the data acquisition machine is connected to the visual data through a data acquisition connection, the data acquisition machine is connected to the environment detection data through a data acquisition connection, the data acquisition machine transmits factory equipment data through a data acquisition connection, and the data acquisition machine is connected to other equipment data through a data acquisition connection;
the enterprise terminal server is divided into a data acquisition unit, a data storage unit, an offline delay processing unit and an online real-time processing unit, wherein the data acquisition unit is connected to the data storage unit, the data storage unit is connected to the offline delay processing unit, the data storage unit is connected to the online real-time processing unit, and the online real-time processing unit is connected to the data acquisition unit.
2. The industrial big data platform system according to claim 1, wherein: the visual data comprises report data used for a factory enterprise system, map data applied to positioning, three-dimensional data applied to a modeling system and personnel information system data used for factory enterprise scheduling.
3. The industrial big data platform system according to claim 1, wherein: the environment detection data comprises data for security monitoring of factory enterprises, data for living environment detection inside the factory enterprises and data for production monitoring of the factory enterprises.
4. The industrial big data platform system according to claim 1, wherein: the factory equipment data comprises data of the intelligent water meter applied to factory enterprise statistics, data of the intelligent water meter applied to factory enterprise statistics and data of the intelligent machine applied to factory enterprise statistics.
5. The industrial big data platform system according to claim 1, wherein: the online real-time processing unit is configured for real-time monitoring of the monitoring system, for early warning and warning early warning of the warning mechanism, and for real-time diagnosis of the diagnostic system.
6. The industrial big data platform system according to claim 1, wherein: the data acquisition unit is configured to be used for data analysis of data comparison, data specification for data sorting and data cleaning of the whole data sorting.
7. The industrial big data platform system according to claim 1, wherein: the data storage unit is configured as a relational database for collating relations, a real-time database for data monitoring, a geographic database for map information, a distributed database for arrangement, a non-relational database, and a memory database for storage.
8. The industrial big data platform system according to claim 1, wherein: the offline delay processing unit is configured for data analysis for offline data sorting and analysis, data mining for data sorting and mining, and data drilling for data extraction.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010069140.XA CN111324062A (en) | 2020-01-21 | 2020-01-21 | Industrial big data platform system |
| PCT/CN2020/115272 WO2021147346A1 (en) | 2020-01-21 | 2020-09-15 | Industrial big data platform system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010069140.XA CN111324062A (en) | 2020-01-21 | 2020-01-21 | Industrial big data platform system |
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| CN111324062A true CN111324062A (en) | 2020-06-23 |
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Cited By (1)
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| WO2021147346A1 (en) * | 2020-01-21 | 2021-07-29 | 南京兴丞智能制造研究院有限公司 | Industrial big data platform system |
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- 2020-09-15 WO PCT/CN2020/115272 patent/WO2021147346A1/en active Application Filing
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