Industrial intelligent optimization energy-saving system based on cement kiln fault diagnosis

Abstract

The invention discloses an industrial intelligent optimization energy-saving system based on cement kiln fault diagnosis, and belongs to the technical field of energy management and energy conservation. The method mainly solves the problems that an existing rotary kiln fault detection means excessively depends on experience, and the fault detection means is low in accuracy. The system is mainly characterized by consisting of a parameter acquisition subsystem, a knowledge base management subsystem, a fault diagnosis subsystem and a statistical analysis subsystem; the parameter acquisition subsystem comprises a sensor and a data interface; the knowledge base management subsystem has three functions of knowledge base establishment, knowledge base updating and knowledge base query; the fault diagnosis subsystem comprises an inference engine, an interpreter and a man-machine interface; and the statistical analysis subsystem is used for summarizing and counting fault information for a periodof time and analyzing fault abnormal points, so that a basis is provided for improving the intelligent degree of equipment inspection. The method has the characteristics of parameter information acquisition, fault diagnosis and statistical analysis, and is mainly used for fault diagnosis of the cement kiln.

Description

technical field [0001] The invention belongs to the technical field of energy management and energy saving, and in particular relates to an industrial intelligent optimization energy saving system based on cement kiln fault diagnosis. Background technique [0002] Rotary kiln calcination is the most important process link in cement production, which includes complex thermal and chemical processes, which directly affect the output, quality and energy consumption of cement clinker. Due to the complexity of the rotary kiln system, there is a certain degree of ambiguity and diversity in the performance of faults; one fault phenomenon may be caused by multiple fault causes, or multiple fault phenomena are generated by the same fault cause, etc.; clinker is rotating The production process of the kiln system is a physical and chemical reaction process, which has the characteristics of large inertia, pure hysteresis and nonlinearity. [0003] At present, there are two methods for f...

AI Technical Summary

Problems solved by technology

The former diagnosis method completely depends on the technical level and sense of responsibility of the engineering operators, and cannot complete the fault diagnosis of the rotary kiln efficiently, quickly and accurately; although the latter can make certain reasoning and diagnosis based on uncertain knowledge, it mainly relies on The detection of several main parameters is far from being refined to the point of rule expression, and at the same time, it is difficult to update system knowledge and transparency

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