Grinding operations throughout the beneficiation plant is the most critical part of the process, it plays a connecting role. Grinding operations account for a large proportion of the capital investment and production costs of the concentrator. At the same time, the grinding operation is the “bottleneck†operation of the entire concentrator, which is directly related to the processing capacity of the ore processing and the quality of the grinding products (granularity characteristics). The degree of monomer dissociation, the concentration of grinding products, etc., have a great impact on the indicators of subsequent operations and even the economic and technical indicators of the entire concentrator. With the development of advanced control theory and testing methods and computer technology, the control level of grinding operations in the beneficiation process has been greatly improved, and some theoretical and applied research results have been obtained. Based on the multivariable control theory, fuzzy control theory and adaptive optimization theory, based on the full consideration of the characteristics of grinding operations, the practical control strategies based on different control theories have been applied to the specific characteristics of different controlled processes. put forward. It plays an active role in the automatic control and optimization of the grinding system. In general, although the automatic control of grinding operations has achieved remarkable results, the precise detection and high-efficiency control of some key parameters (such as mill load) have not made breakthrough progress, and the control is mainly based on stable control.
2 Grinding classification control content
Due to the importance and criticality of grinding operations, grinding automation is the first in mineral processing automation. The grinding and grading automatic control system adopts the advanced control method, and through the comprehensive analysis and judgment of the factors such as the mill load and the ore feeding property, the optimal control of the mill feeding amount, grinding concentration, grading overflow concentration and particle size is realized. Analysis and adjustment of the ball-to-ball ratio of the mill, safety protection of the lubrication system of the mill oil circuit, etc. At the same time, the system also realizes automatic detection, display and various fault alarms of grinding and grading operation parameters, and finally makes the grinding and grading operation always run under the optimal state.
The key technical and difficult points of current grinding automation are:
(1) How to accurately detect the load of the mill and optimize the control of the multi-parameters of the grinding operation according to the load condition;
(2) How to accurately detect the fineness of the slurry and achieve efficient classification;
(3) How to detect and reasonably add steel balls and accurately detect the grinding concentration.
3 Technical requirements
(1) By detecting and controlling the mill load, the system is stable and reliable;
(2) Advanced control method using fuzzy control + PID adjustment to achieve the best control effect;
(3) It can realize local and whole system monitoring level automatic/soft manual, instrument panel hand/automatic, on-site manual operation and other operation modes;
(4) Using advanced control system and highly reliable instrument combination to make the system durable and easy to use;
(5) Set the necessary software interfaces and interfaces for plant-level management and full-process automatic control;
(6) It has a user-friendly configuration screen and is easy to operate.
4 Technical and economic indicators
(1) save energy, reduce the consumption of steel, to improve the metal recovery;
(2) Increasing the processing capacity of the mill by 8% to 10% under the premise of stable graded overflow particle size;
(3) Improve the graded overflow particle size pass rate of 5% or more on the premise of stable ore supply;
(4) It is easy to manage and reduce the labor intensity of workers;
(5) The investment recovery is fast, and it can be recovered in half a year.
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