Intelligent fuzzy network algorithm of asphalt mixing station weighing control system

Abstract

The invention discloses an intelligent fuzzy network algorithm of an asphalt mixing station weighing control system, which comprises the following steps of: establishing a data table, recording bin numbers in the data table because the sizes of materials are different, the material levels of bins are different, the proportions are different, and the advances are different in different sequences, so that information such as bin numbers, information such as sequence, batching time, flow, error and proportioning value are required to be recorded in the data table; and looking up a table according to the current information, and solving the optimal lead according to empirical values and different information weights of different models. According to the intelligent fuzzy network algorithm of the asphalt mixing station weighing control system, only two doors are required to act simultaneously, the feeding time is shortened by 5-10 seconds, and the yield is improved. And if a double-stroke air cylinder is adopted originally, only a single stroke is needed now, so that the cost is reduced, and fault points are reduced. And the batching precision is relatively high when the proportion is small. And after waiting for the vehicle, the production is continued, or after the formula is changed, the lead is adjusted in real time through big data comparison, and higher precision can also be achieved.

Description

technical field [0001] The invention relates to the technical field of the weighing control system of an asphalt mixing station, in particular to an intelligent fuzzy network algorithm of the weighing control system of an asphalt mixing station. Background technique [0002] The mechanical and electrical composition of the weighing control part of the asphalt mixing plant: it consists of powder scales (1-2), stone scales (1-2), asphalt scales, and some of them are recycled scales, additive scales, etc. The strain gauge load cell is installed under the stone scale, powder scale, asphalt scale, etc., and outputs a mv-level voltage signal proportional to the weight, which is amplified to a 0-10V voltage signal by the signal amplifier, and the voltage signal is sent to the analog module of the PLC. , the analog quantity module obtains an AD word proportional to the voltage signal, and the CPU obtains a weight value after the tare calibration operation. When weighing, first open...

AI Technical Summary

Problems solved by technology

[0011] Aiming at the deficiencies of the prior art, the present invention provides an intelligent fuzzy network algorithm for the weighing control system of the asphalt mixing plant, which solves the problem that the prior art continues to use the original advance amount when there is a shortage of materials, which will lead to less allocation

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