Red mud heavy metal content online prediction method, system and device and storage medium

Abstract

The invention discloses a red mud heavy metal content online prediction method, system and device and a storage medium, and can be widely applied to the technical field of automatic measurement. According to the method, the neural network structure is determined according to the acquired data set, so that the set neural network structure can better predict data, meanwhile, the weight and the threshold of the neural network are optimized by adopting the genetic algorithm, the problem of randomness in selection of the connection weight and the threshold of the neural network is solved through the genetic algorithm, and the selection accuracy of the neural network is improved. The method comprises the following steps: firstly, optimizing a neural network to effectively improve the mapping capability, network convergence capability and learning capability of the neural network, then training the optimized neural network by adopting obtained data to improve the prediction precision of the neural network, and then predicting the content of heavy metals in red mud according to current red mud production data through the trained neural network. The red mud heavy metal detection period can be effectively shortened, and the detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of automatic measurement, in particular to an online prediction method, system, device and storage medium of heavy metal content in red mud. Background technique [0002] In the related art, red mud is a kind of solid waste with complex composition and strong alkalinity produced in the alumina production process. According to the different production processes of alumina, red mud can be divided into Bayer red mud, sintered red mud and combined red mud. Most of the red mud currently produced is Bayer process red mud. While the production of red mud is huge, the utilization rate is very low, resulting in a large amount of Bayer process red mud that cannot be processed in time and can only be stockpiled. The reduction of the utilization value will cause pollution to the ecological environment, and even more serious harm to human health, resulting in huge losses. At present, the Bayer method red mud heavy met...

AI Technical Summary

Problems solved by technology

While the output of red mud is huge, the utilization rate is very low. As a result, a large amount of Bayer red mud cannot be processed in time and can only be stockpiled. The heavy metal ions in the Bayer red mud will seep into the soil with the leachate, resulting in soil degradation. The use value is reduced, causing pollution to the ecological environment, and more seriously, it may endanger human health and cause huge losses

At present, the detection methods for heavy metals in red mud by the Bayer method are generally on-site sampling and laboratory analysis; regular sampling inspections are mostly used to measure the impact of red mud stockpiles on the soil and groundwater environment; these two methods are expensive and the detection cycle Long and cumbersome process

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