CN112449013A - Data cooperation method based on identification analysis in industrial Internet of things - Google Patents
Data cooperation method based on identification analysis in industrial Internet of things Download PDFInfo
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- CN112449013A CN112449013A CN202011295726.4A CN202011295726A CN112449013A CN 112449013 A CN112449013 A CN 112449013A CN 202011295726 A CN202011295726 A CN 202011295726A CN 112449013 A CN112449013 A CN 112449013A
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Abstract
The invention relates to a data cooperation method based on identification analysis in an industrial Internet of things, which is characterized in that the identification analysis pressure is dispersed by establishing multi-level nodes, the query delay and the network load are reduced, and the analysis performance is improved; and public identification resolution is provided for specific industry applications such as product manufacturing and supply chain coordination. Through the fusion of semantic identification and analysis, the problem of interconnection and intercommunication of multi-source heterogeneous data among cross systems is solved. The resource coordination capability of the industrial Internet of things is improved, and the data acquisition, integration and resource discovery are facilitated. And a basic data cooperation mechanism is provided for the application and implementation of industrial Internet of things management software in an industrial production field.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a data cooperation method based on identification analysis in an industrial Internet of things.
Background
With the development of industrial internet of things technology, identification is widely used as a code or a symbol for uniquely identifying identity within a certain range. The application of the industrial internet identification analysis is continuously and deeply explored, and a large amount of production preparation data, equipment operation data, product quality data and production process parameters generated in the production process of products can be obtained through the implementation of the internet of things. The collected data can be used by industrial Internet of things management software, and the industrial Internet of things management software can call the production data of the time node in real time under the operating condition of the industrial Internet of things. By combining with other production node data, the industrial Internet of things management software can timely process the data generated in real time, and the workshop production Internet of things circulation can be effectively controlled in a targeted manner.
At present, the identification coding rule and the identification data model adopted by a manufacturing enterprise are not uniform, the problem of 'information island' is serious, when identification information flows across systems, enterprises and businesses, effective information sharing and data interaction cannot be effectively carried out among enterprises due to identification system conflict, and efficient collaboration of data resources cannot be realized by a data chain. The method is characterized by comprising the following specific points:
firstly, the identification application chain is relatively single. The identification analysis technology is widely applied in industry, but still stays in primary application of information acquisition such as asset management, logistics management, data tracing and the like at present, does not penetrate into the industrial production and manufacturing links, and deep application is yet to be developed. Due to the fact that the industrial software is high in complexity, an industrial chain is mature relatively, and the difficulty of analyzing the industrial internet of things and deeply integrating industrial resources is high. Secondly, the data analysis performance is insufficient. The industrial internet identification code is oriented to a plurality of production elements such as people, machines, objects and the like, the identification object data types and the identification object data quantity are greatly enriched, the industrial internet access data are sensitive, and the application scene is complex. And thirdly, aiming at specific scenes such as flexible manufacturing in a factory and the like, lower analysis time delay is required to be ensured.
Disclosure of Invention
The invention provides a data cooperation method based on identification analysis in an industrial Internet of things, which aims to solve the technical problems that: the problem of interconnection and intercommunication of multi-source heterogeneous data among cross systems is solved, and efficient collaboration of data based on identification cannot be achieved.
In order to solve the technical problems, the invention provides a data cooperation method based on identification analysis in an industrial internet of things, which comprises the following steps:
s1, taking the center service node as the top level center service node, and setting a plurality of first level service nodes downwards in sequence according to the data type to be acquired, wherein each first level service node corresponds to one first level control node, each first level service node is provided with a plurality of second level service nodes downwards, and so on;
s2, the top level central service node plans a production plan, a production path and an information circulation path matched with the production path, and distributes the production plan, the production path and the information circulation path matched with the production path to a first level control node corresponding to a first level production node at the next level of the central service node, the first level service node plans the production plan, the production path and the information flow path matched with the production path sent by the central service node, and distributes the production plan, the production path and the information flow path matched with the production path to a second level control node corresponding to a second level service node at the next level of the first level;
s3, the lowest-level service node produces according to the production plan sent by the upper level, meanwhile, the control node collects real-time original data, classifies and arranges the real-time original data according to the information circulation path, and gives an identifier to the level product, and the identifier can be matched with the production data corresponding to the level node;
s4, the lowest-level production node uploads real-time original data to the highest-level central service node according to the information flow path cooperative data, and the classified and sorted data are sent to the upper-level control node;
and S5, the control node at the upper level receives the data, then arranges and stores the data, and gives an identifier to the level product, wherein the identifier can match the production data contained in the level node.
The real-time data collaboration method further comprises the following steps:
s6, if the production plan is changed or manual scheduling occurs, the central service node replans the information circulation path in real time and redistributes the information circulation path;
s7, the control node corresponding to each level of service node re-coordinates data according to the new information circulation path;
and S8, taking the original data in the control node as aging expired data, and taking new data into effect.
After the central service node plans and issues the information transfer path, if the central service node has a communication fault, the subordinate control node can still cooperate with the data normally, thereby completing the transfer of the production data on the information path and supporting the operation of the production system.
The real-time original data comprises industrial production process data and process data which are acquired in real time, and further comprises data which are sent by a next-level control node; and the control nodes classify, summarize and organize the real-time original data according to the requirements of the upper-level control nodes.
If the upstream control node at the previous level receives the data sent by the control node at the next level, all the received data need to be collected and stored.
After the central service node replans the information transfer path, the control node can cooperate with the data according to the information transfer path again to rapidly finish information redeployment without influencing the operation of production.
After the control node receives the new information circulation path, invalid information on the original path cannot be deleted immediately, and the method includes the steps of putting the original path information into an aging pool, performing smooth transition, and automatically deleting after storing for a preset time.
Has the advantages that: the method provides public identification analysis for specific industrial applications such as product manufacturing and supply chain cooperation. Meanwhile, the problem of interconnection and intercommunication of multi-source heterogeneous data among cross systems can be solved through the fusion of semantic identification and analysis. The resource coordination capability of the industrial Internet of things is improved, and the data acquisition, integration and resource discovery are facilitated. The analysis pressure of the identifiers is dispersed by establishing multi-level nodes, the query delay and the network load are reduced, and the analysis performance is improved; and a basic data cooperation mechanism is provided for the application and implementation of industrial Internet of things management software in an industrial production field.
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FIG. 1 is a schematic diagram of the operation of the present invention.
Detailed Description
In order to make the objects, contents and advantages of the present invention clearer, the following detailed description of the embodiments of the present invention is provided.
The invention provides a data cooperation method based on identification analysis in an industrial Internet of things, which comprises the following steps:
s1, taking the center service node as the top level center service node, and setting a plurality of first level service nodes downwards in sequence according to the data type to be acquired, wherein each first level service node corresponds to one first level control node, each first level service node is provided with a plurality of second level service nodes downwards, and so on;
s2, the top level central service node plans a production plan, a production path and an information circulation path matched with the production path, and distributes the production plan, the production path and the information circulation path matched with the production path to a first level control node corresponding to a first level production node at the next level of the central service node, the first level service node plans the production plan, the production path and the information flow path matched with the production path sent by the central service node, and distributes the production plan, the production path and the information flow path matched with the production path to a second level control node corresponding to a second level service node at the next level of the first level;
s3, the lowest-level service node produces according to the production plan sent by the upper level, meanwhile, the control node collects real-time original data, classifies and arranges the real-time original data according to the information circulation path, and gives an identifier to the level product, and the identifier can be matched with the production data corresponding to the level node;
s4, the lowest-level production node uploads real-time original data to the highest-level central service node according to the information flow path cooperative data, and the classified and sorted data are sent to the upper-level control node;
and S5, the control node at the upper level receives the data, then arranges and stores the data, and gives an identifier to the level product, wherein the identifier can match the production data contained in the level node.
The real-time data collaboration method further comprises the following steps:
s6, if the production plan is changed or manual scheduling occurs, the central service node replans the information circulation path in real time and redistributes the information circulation path;
s7, the control node corresponding to each level of service node re-coordinates data according to the new information circulation path;
and S8, taking the original data in the control node as aging expired data, and taking new data into effect.
After the central service node plans and issues the information transfer path, if the central service node has a communication fault, the subordinate control node can still cooperate with the data normally, thereby completing the transfer of the production data on the information path and supporting the operation of the production system.
The real-time original data comprises industrial production process data and process data which are acquired in real time, and further comprises data which are sent by a next-level control node; and the control nodes classify, summarize and organize the real-time original data according to the requirements of the upper-level control nodes.
If the upstream control node at the previous level receives the data sent by the control node at the next level, all the received data need to be collected and stored.
After the central service node replans the information transfer path, the control node can cooperate with the data according to the information transfer path again to rapidly finish information redeployment without influencing the operation of production.
After the control node receives the new information circulation path, invalid information on the original path cannot be deleted immediately, and the method includes the steps of putting the original path information into an aging pool, performing smooth transition, and automatically deleting after storing for a preset time.
The invention provides a data cooperation method based on identification analysis in an industrial Internet of things for overcoming the defect that data based on identification cannot realize efficient cooperation, and provides a basic data cooperation mechanism for application and implementation of industrial Internet of things management software in an industrial production field. Through a layering and grading mode, identification analysis of multiple service nodes is set, and an effective multi-source heterogeneous data interconnection and intercommunication method is provided for flexible manufacturing and manufacturing chain data cooperation.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (7)
1. A data cooperation method based on identification analysis in an industrial Internet of things is characterized by comprising the following steps:
s1, taking the center service node as the top level center service node, and setting a plurality of first level service nodes downwards in sequence according to the data type to be acquired, wherein each first level service node corresponds to one first level control node, each first level service node is provided with a plurality of second level service nodes downwards, and so on;
s2, the top level central service node plans a production plan, a production path and an information circulation path matched with the production path, and distributes the production plan, the production path and the information circulation path matched with the production path to a first level control node corresponding to a first level production node at the next level of the central service node, the first level service node plans the production plan, the production path and the information flow path matched with the production path sent by the central service node, and distributes the production plan, the production path and the information flow path matched with the production path to a second level control node corresponding to a second level service node at the next level of the first level;
s3, the lowest-level service node produces according to the production plan sent by the upper level, meanwhile, the control node collects real-time original data, classifies and arranges the real-time original data according to the information circulation path, and gives an identifier to the level product, and the identifier can be matched with the production data corresponding to the level node;
s4, the lowest-level production node uploads real-time original data to the highest-level central service node according to the information flow path cooperative data, and the classified and sorted data are sent to the upper-level control node;
and S5, the control node at the upper level receives the data, then arranges and stores the data, and gives an identifier to the level product, wherein the identifier can match the production data contained in the level node.
2. The data collaboration method based on identification resolution in the industrial internet of things as claimed in claim 1, further comprising the following steps:
s6, if the production plan is changed or manual scheduling occurs, the central service node replans the information circulation path in real time and redistributes the information circulation path;
s7, the control node corresponding to each level of service node re-coordinates data according to the new information circulation path;
and S8, taking the original data in the control node as aging expired data, and taking new data into effect.
3. The data collaboration method based on the identifier resolution in the industrial internet of things as claimed in claim 1, wherein after the central service node plans and issues an information transfer path, if the central service node has a communication fault, the subordinate control node can still collaborate with the data normally, thereby completing the transfer of production data on the information path and supporting the operation of a production system.
4. The data collaboration method based on identification resolution in the industrial internet of things according to claim 1, wherein the real-time original data comprises industrial production process data and process data acquired in real time, and further comprises data sent by a next-level control node; and the control nodes classify, summarize and organize the real-time original data according to the requirements of the upper-level control nodes.
5. The method as claimed in claim 1, wherein if the upstream control node receives data sent from a lower control node of the level, the upstream control node needs to store all the received data in a summary manner.
6. The data collaboration method based on identification resolution in the industrial internet of things as claimed in claim 1 is characterized in that after the central service node replans the information transfer path, the control node can cooperate with data according to the information transfer path again to complete information redeployment rapidly without affecting production operation.
7. The method for the data collaboration based on the identification resolution in the industrial internet of things as claimed in claim 1, wherein after the control node receives a new information circulation path, invalid information on an original path is not deleted immediately, and the method includes the steps of putting the original path information into an aging pool, performing smooth transition, and automatically deleting after the original path information is stored for a preset time.
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| CN113495544A (en) * | 2021-09-08 | 2021-10-12 | 广东鑫兴科技有限公司 | Equipment cooperative control system based on industrial internet identification |
| CN114198879A (en) * | 2021-11-03 | 2022-03-18 | 武汉慧联无限科技有限公司 | Control system, control method and device for multi-split equipment, equipment and medium |
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