A method and system for global indexing

Abstract

The invention provides a global indexing method, which comprises the following steps: obtaining the logic identifiers of tag points, wherein the logic identifiers of the tag points are successively formed by the practical identifiers of each entity in a factory logic structure which comprises the tag points from top to bottom; successively sorting the logic identifiers of the tag points; according to the sequence of the logic identifiers of the tag points, successively distributing the tag points for each storage cluster node; and mapping the identifier of each cluster node and the logic identifier of the corresponding tag point to form a global index table. The method can effectively improve the space continuity of tag point storage, reduces data exchanged carried out among a plurality of storage nodes by a database collector or a second computation process and lowers the instability of network transmission load and business flow, the global index table of which the identifier of the storage cluster node and the logic identifier of the tag point are mapped can be obtained, and data use efficiency can be effectively improved.

Description

technical field [0001] The invention relates to the field of industrial informatization, in particular to a global index method and system. Background technique [0002] In the field of industrial informatization, it is necessary to collect and store data in the production process to provide efficient data services for upper-level applications such as process monitoring and optimization, benefit evaluation, and management decision-making. As the process measurement data that needs to be stored continues to grow, distributed Real-time databases are widely used. [0003] In the information system of industrial enterprises, usually, the data of a label point located on the industrial site is stored in the storage cluster node. The label point is the data collection point, which is the basic management unit for storing data, and usually corresponds to the measurement of a sensor. Variables, such as liquid level sensors, temperature sensors, etc., all process measurement data re...

AI Technical Summary

Problems solved by technology

[0005] In the global index, the distributed hash table method and the intelligent dynamic index method are mainly used. These two methods mainly generate the corresponding hash value by hashing the label point name string, and the target is determined by the hash value. Storage cluster nodes, for multiple label points of the same device, may be allocated to different storage cluster nodes, thus causing the database collector or secondary calculation process to exchange data between multiple storage nodes, increasing network transmission Instability of load and business process, low efficiency of data utilization

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