Intelligentized on-line real-time monitoring system and intelligentized on-line real-time monitoring method for metallic ion concentration in process of manganese-zinc aged liquid gelation

Abstract

The invention relates to an intelligentized on-line real-time monitoring system and an intelligentized on-line real-time monitoring method for metallic ion concentration in a process of aged liquid gelation in the industry of manganese and zinc electrolysis. The intelligentized on-line real-time monitoring system comprises a three-dimensional space on-line sampling system, a to-be-tested sample quality control system, and an intelligentized in-situ real-time monitoring system. Based on the colorimetric difference between different types and concentrations of metallic ions, the invention accurately acquires the photosensitivity parameters of target metallic ions; based on non-contact complex phase metallic ion identification, a high-precision machine is utilized to visually and continuously express digitalized information of colors in a process of dynamic liquid delivery, the digitalized information is converted into big-data instantaneous ion concentrations by artificial intelligent analysis, abnormal values are removed by data optimization to obtain an average value, and thereby on-line acquisition, sample homogenization, detection and identification, real-time analysis and intelligentized analysis under closed-loop control are fulfilled. By monitoring the concentrations of the target metallic ions in a three-dimensional space in the process of aged liquid gelation on line and in real time, the invention increases the current efficiency, and plays an important role in heavy-metal wastewater source control.

Description

technical field [0001] The invention relates to an intelligent on-line real-time monitoring system and method for metal ion concentration in the colloidization process of manganese-zinc aging liquid, and belongs to the field of devices and methods in the electrolytic solution preparation section of the hydrometallurgical industry. Background technique [0002] The electrolytic metal manganese and zinc are both electrolyzed by sulfate aqueous solution. Since zinc ore and manganese ore are accompanied by impurities such as calcium, magnesium, iron, copper, cobalt, nickel, germanium, and lead to varying degrees, Zn +2 and Mn +2 It is a highly electronegative metal (-0.762v, -1.18v). The important condition for electrolysis is that the sulfate solution should not contain other competing metal ions as much as possible, so the zinc sulfate and manganese solutions must be fully purified before electrolysis. [0003] At present, zinc and manganese enterprises need to age the purif...

AI Technical Summary

Problems solved by technology

[0006] The present invention provides an intelligent online real-time monitoring system and method for metal ion concentration in the colloidal process of manganese-zinc aging liquid. The technical problem to be solved is to break the problem that traditional online monitoring sensors are easily wrapped by ammonium sulfate crystals in electrolytic manganese solution According to the chromaticity difference of different metal ions, obtain its specific sensitive optical parameters, effectively eliminate the interference of other coexisting heavy metal ions, and accurately obtain the photosensitivity of the target metal ion based on the chromaticity difference of different types and concentrations of metal ions property parameters; based on the non-contact identification of metal ions in complex phases, high-precision machine vision is used to continuously express the digital information of the color of the liquid dynamic transportation process, and it is converted into big data instantaneous ion concentration through artificial intelligence analysis, and the abnormality is removed through data optimization The average value can be obtained to realize the intelligent analysis of online collection, sample homogenization, detection and identification, real-time analysis, and closed-loop control

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