An intelligent detection method and system based on a mixed process

Abstract

The invention discloses an intelligent detection method and system based on a mixing process, which is applied to a mixing process control system, wherein the method includes: performing feature extraction on a first material mixing scheme, obtaining first feature information, and constructing The first feature database; using the first feature database as training data, input the first material mixing scheme into the first process analysis model to obtain the first estimated mixing level, thereby determining the first uniformity detection scheme, including First sampling point and first sampling time; generating a first sampling instruction to perform a sampling operation, and evaluating the sample to obtain a first mixing uniformity evaluation level; mixing the first mixing uniformity evaluation level with the first material The scheme is tagged for storage. It solves the technical problem that in the prior art, the sampling point and sampling time for sampling the uniformity of the mixed substance are inaccurate during the mixing process, thereby affecting the evaluation result of the uniformity.

Description

technical field [0001] The invention relates to the field of mixing technology, in particular to an intelligent detection method and system based on mixing technology. Background technique [0002] The mixing machine can mix various materials into a uniform mixture, such as mixing cement, sand, gravel and water into wet concrete, etc.; it can also increase the contact surface area of ​​materials. To promote chemical reactions; it can also accelerate physical changes, such as adding granular solutes to solvents, and the dissolution and mixing can be accelerated through the action of mixing machinery. The method of measuring the uniformity of mixing is: take samples at equal intervals at the outlet of the mixer, if sampling in the mixer, randomly sample at different depth positions on the equal length of the mixing chamber or on the circumference. The selection of sampling points and the interval of sampling time become important factors affecting the determination of mixing ...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an intelligent detection method and system based on the mixing process, which solves the problem of inaccurate sampling points and sampling time for sampling the uniformity of the mixed material during the mixing process in the prior art, thereby affecting The technical problem of the homogeneity evaluation result realizes the technical purpose of building a training database and predicting the mixing level of the mixed substance based on the neural network model, so as to formulate a sampling plan according to the prediction result, making the sampling plan more accurate and effective.

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