Knowledge representation facing industrial big data and automation application method thereof

Abstract

The invention discloses a knowledge representation facing industrial big data and an automation application method thereof. The method comprises the steps that: 1) an intelligent object of a corresponding type for each type of knowledge resource in an industrial enterprise is created, and an intelligent object database is obtained; 2) corresponding various determination conditions and calculation models for each set service problem are defined, and a knowledge automation rule is established; 3) according to the knowledge automation rule and a service logic of the service problem, a service flow of the service problem is created; 4) according to the configuration of a start node of the service flow, event data to be processed from real-time information data of the industrial enterprise is determined, and then according to the event data, event statements are generated and sent to an event engine; and 5) according to the received event statements, the event engine searches the service flow for a matched node or intelligent object for carrying out processing, and a processing result is stored. According to the invention, the deposition, inheritance and automation application of service experiences are realized, and the service processing efficiency is improved.

Description

technical field [0001] The invention belongs to the field of information processing, and in particular relates to a knowledge representation for industrial big data and an automatic application method thereof. Background technique [0002] The industrial industry represented by petrochemical and metallurgy has undergone years of construction and development. Digitization and informatization have penetrated into every corner of industrial production. The rapid growth of data volume and in-depth application have reached a key point from quantitative change to qualitative change. The ability to quickly obtain information , The ability to analyze and evaluate information in a timely and accurate manner has become the core competitive element of process industry enterprises. [0003] To give full play to the value of big data in the process industry, the problems that need to be solved include: (1) Knowledge modeling is complex and knowledge models are heterogeneous. Taking the ...

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Problems solved by technology

[0003] To give full play to the value of big data in the process industry, the problems that need to be solved include: (1) Knowledge modeling is complex and knowledge models are heterogeneous

For example, industrial production operation is based on a large amount of real-time sensor data at the industrial site, and the time limit for processing is high. The complexity of business and changes in requirements lead to weak adaptability of standard business processes, and a more efficient knowledge application framework is required.

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