A coal sample drying end condition method based on soil moisture sensor

Abstract

The invention discloses a soil moisture sensor based coal sample drying end condition method, comprising the following steps: S1: collecting moisture data of a coal sample in the drying process by using a soil moisture sensor; S2: performing data normalizing operation on the moisture data obtained in step S1; that is, a ratio C is obtained by dividing an initial measurement basis value A from a measurement value B of each cycle; S3: performing deviation calculation; a change rate D of gradient is obtained by deviation calculation of adjacent cycle C values, and whether a drying condition is reached is judged by comparison between the difference value, that is, the change rate D of the gradient, and a standard value; if reaching the end condition ending; and if not reaching the end condition, continuing judgment of the next cycle until ending. The method has the advantages of being simple in principle, easy to realize, and capable of automatically judging drying end condition and ending, and meeting the requirement of subsequent links.

Description

technical field [0001] The invention mainly relates to the field of coal sample detection, in particular to a method for coal sample drying end conditions based on a soil moisture sensor. Background technique [0002] Before the coal sample is tested, it is often necessary to dry the coal sample to ensure the normal circulation of the coal sample in the automatic testing equipment, and also to ensure the representativeness and integrity of the coal sample. [0003] In the prior art, in order to improve the level of automation, some practitioners use automatic drying equipment to complete the drying process of coal samples (such as air drying equipment for coal samples). Among these equipments, the drying of the coal sample is generally carried out by means of timing termination, which often relies on human experience or forms fuzzy control means based on human experience. However, the disadvantage of this type of method is that the manual experience is relatively subjective...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this type of method is that the manual experience is relatively subjective, the judgment is not accurate, the time setting is not enough, and the incomplete drying is not conducive to the subsequent links such as crushing or milling, which affects the overall performance and is not conducive to the realization of automatic production. Sample

If the time setting is too long, the efficiency will be reduced. At the same time, the sample will be too dry, and the coal sample will be lost in the subsequent links.

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