OPC data real-time acquisition monitoring intelligent system and method based on stream computing

Abstract

The invention relates to an OPC data real-time acquisition monitoring intelligent system and method based on stream computing. The system comprises an OPC data acquisition server, an OPC centralized control management server, a Kafka data processing module and an OPC client. The OPC data acquisition server receives data from industrial workshop field equipment through a standard OPC interface, stores the received real-time data into a whole-plant real-time database, and transmits the data to the centralized control management server according to task requirements; and the Kafka data processingmodule receives the monitoring data and puts the monitoring data in a distributed message queue for caching, and constructs a processing architecture based on stream computing to perform unified processing and storage on the data. According to the invention, the data acquisition process is simplified, and the integration capability of the field equipment layer, the workshop monitoring layer and the manager decision-making layer is improved; and the real-time performance of monitoring result pushing and data processing access is improved, the problem that the response speed is low is solved, and meanwhile the reliability of data is guaranteed.

Description

technical field [0001] The invention relates to the technical field of energy data collection of various equipment in workshops, in particular to an intelligent system and method for real-time collection and monitoring of OPC data based on flow computing. Background technique [0002] Industrial sites such as cigarette factory power workshop boilers, air conditioners, refrigeration, air compressors, dust removal, moisture removal and other kinetic energy equipment have many types and are widely distributed. In order to realize the effective operation of many kinetic energy equipment and improve the level of information management and production process automation in industrial production, To improve production quality and efficiency, it is necessary to ensure the security, reliability and timeliness of power equipment energy data, as well as the stability of real-time analysis data. This requires the data acquisition and monitoring system to have the following specific requi...

AI Technical Summary

Problems solved by technology

[0003] The following problems generally exist in the use of existing terminal technologies in industrial systems: (1) Due to the inconsistency of equipment interfaces used in industrial sites, conventional data transmission systems cannot meet the data access of multiple communication protocols; (2) The amount of data collected is large and updated The speed is fast, the massive monitoring data in the kinetic energy management and control information service platform cannot be stored in the relational database for a long time, and the storage space occupied is large, which is not conducive to efficient retrieval and query, affects the real-time performance of data, and cannot predict or diagnose the operation of field equipment in time (3) The accuracy and performance of the data extracted by the general incremental extraction method cannot be both, and the captured data will have an impact on the final business decision

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