Coal Flow Balance Adaptive Control Method Based on Rough Sets

Abstract

The invention discloses a coal flow balance self-adaptive control method based on rough sets, which collects coal flow state information data according to the set time, takes the coal flow state information as the input of the control system, and firstly analyzes the coal flow state information Carry out data preprocessing, then analyze and determine the conditional attributes and decision-making attributes that affect the adaptive control of coal flow balance, use the rough set theory method to reduce the conditional attributes, and extract the shearer from the reduced attribute set Finally, the random forest algorithm is used to extract the rules to form an effective coal flow balance adaptive control rule library to realize the coal flow balance adaptive control.

Description

technical field [0001] The invention relates to a coal flow balance self-adaptive control method based on rough sets. Background technique [0002] At present, the phenomena of large load fluctuation, overload shutdown and long-term light-load operation of scraper conveyors are common in the production process of fully mechanized mining, which not only affects the service life of the equipment, but also seriously affects the coal production rate. In order to avoid such phenomena and ensure the continuous operation of the scraper conveyor, it is urgent to study the self-adaptive speed regulation method between the shearer and the scraper conveyor. [0003] Multiple variable factors in the adaptive control of coal flow balance are interrelated and affect each other. For example, the traction current of the shearer is closely related to the working condition information and coal rock characteristics; Coal quantity information coupling; shearer cutting motor frequency converter...

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Problems solved by technology

In addition, the position monitoring transmitter of the shearer is installed on the shearer, but the position information receiver is installed on the hydraulic support, so the obtained position information of the shearer is the No. X support, not the precise position information of the shearer , is a fuzzy quantity; the operation of the shearer along the fully mechanized mining face is a reciprocating process, and the operating state is affected by various factors such as the coal flow state, the load of the scraper conveyor, the cutting depth of the shearer, and the amount of cutting each time. The influence of information, its operating state is constantly changing, it is a complex nonlinear movement and has uncertainty

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