Comprehensive temperature monitoring solution for copper smelting process
The pyrometallurgical smelting process of copper is mainly divided into three processes: smelting, blowing, and refining. Among them, the copper concentrate is heated and oxidized in an electric furnace or flash furnace after drying to separate the copper slag and the copper slag.
Solution for online detection of high temperature melt composition in smelting process
The non-ferrous metallurgy smelting process is affected by various sources of raw materials There are a lot of uncertainties in the influence of factors such as fluctuations in working conditions and changes in production composition.
Online inspection solution for powder composition of conveyor belt in batching process
The non-ferrous metallurgy industry has developed rapidly in recent years, and the demand for ore raw materials has continued to rise. Due to the large-scale mining, the ore grades are uneven and the composition fluctuates greatly, so the batching technology is very important.
Digital comprehensive solution for intelligent electrolysis workshop
In order to implement the "Guiding Opinions on Deepening “Internet + Advanced Manufacturing” Development of Industrial Internet", "New Generation Artificial Intelligence Development Plan", "Intelligent Manufacturing Engineering Implementation Guide (2016-2020)" and other countries Relevant policies have effectively promoted the intelligent upgrading of non-ferrous metal smelting enterprises, combined with the symbiosis of multi-element resources in non-ferrous metal smelting in China, large fluctuations in raw material quality, and complex smelting processes. The application of cutting-edge technologies such as data, artificial intelligence, 5G, edge computing, and virtual reality in non-ferrous smelting plants, especially electrolysis workshops, realizes the digital convergence, network sharing and platform collaboration of resource elements such as production, equipment, energy, and logistics. It has the ability to visualize online monitoring of all-factor data at the workshop level, real-time autonomous linkage balance and optimization, and build a green that integrates full-process automated production lines, comprehensive integrated information management and control platforms, real-time collaborative optimization, and refined energy efficiency control , Safe and efficient non-ferrous metal intelligent electrolysis workshop, promote the high-quality development of workshop production, create a model "smart workshop", and enhance the company's comprehensive competitiveness and sustainable development capabilities. At present, the domestic electrolysis workshop still uses traditional manual report statistics and analysis, and lacks digital and intelligent management methods. The main problems are:
High-precision detection solution for faulty electrodes in electrolyzer
Electrolytic refining is a common practice in non-ferrous metallurgy, the electrolysis process of most non-ferrous metals is the same. Taking copper as an example, the grade of refined copper produced by fire refining is generally 99.2% to 99.7%, and it also contains 0.3% to 0.8% of impurities.
Intelligent end point judgment solution for copper converter
PS converter is used as bronze blowing The main process has the characteristics of mature process, flexible operation, strong adaptability and low cost. The main purpose of blowing is to remove impurities and sulfides in the raw materials and improve the grade of copper. The entire conversion cycle is divided into a slag-making period and a copper-making period. The end-point judgment of the copper-making period has a critical influence on the copper grade. At present, the end-point judgment of the copper converter is mainly based on manual sampling observation, and the following problems exist:
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