A Coal Sample Viscosity Discrimination Method for Coal Sample Collection and Production Integration

Abstract

The invention discloses a method for discriminating the viscosity of a coal sample for the integration of coal sample collection and production. The steps are: S1: monitor the viscosity of the coal sample in real time; When sweeping the station, monitor the current value of the drive motor in the rotary scraping device in the integrated coal sample detection equipment in real time; S2: In the continuous monitoring process of step S1, take the current value of the drive motor at a certain period of time or at a certain moment Value, along the continuity of time, compare the current value with the current value of the driving motor at a later period or at a later moment, and analyze the change trend of the variable flow according to the comparison value to judge the viscosity of the coal sample. The invention has the advantages of simple principle, extremely convenient operation, high precision and the like.

Description

technical field [0001] The invention mainly relates to the field of coal sample collection and production integration equipment, in particular to a coal sample viscosity discrimination method suitable for coal sample collection and production integration. Background technique [0002] Due to different coal sources, types, grades, and batches of coal, some coals may have coal sticking, coal blocking, and equipment jamming when they enter the sampling and sample preparation process. For this reason, it is necessary to pass some pre-discrimination to make the process of sampling, sample preparation and sampling and sample preparation go smoothly, and improve the reliability and accuracy of sample collection and preparation under the premise of ensuring the degree of automation. None of the traditional methods are designed based on the automatic operation of procurement and production, so they have the following deficiencies: [0003] In the whole process of sampling and sample...

AI Technical Summary

Problems solved by technology

However, due to the strong subjectivity of artificial recognition, there are often phenomena such as missed judgments and misjudgments.

Therefore, before the coal enters the sampling system, a special person is required to be on duty and make judgments. The coal that cannot be processed by the automatic sampling equipment must be manually separated by workers, which results in its high labor intensity, long cycle time, and poor accuracy.

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