A Method for Optimizing Operation Index of Mineral Processing Process

Abstract

A method for optimizing operation indexes of beneficiation process, belonging to the technical field of beneficiation process, collecting operation indexes of each process in the beneficiation process; The optimization of indicators and production indicators. The optimization process includes setting the boundary constraints of the beneficiation process, the target value of the quality indicator and the target value of the production indicator, optimizing the target value of the quality indicator and the target value of the production indicator, and forecasting the quality indicator and production indicator. , obtain the forecast value of the quality index and the forecast value of the output index, correct the preset value of the target value of the operation index, and obtain the optimized value of the operation index; according to the optimized value of each operation index, the control command is issued to each process of the beneficiation process. The method can realize the optimal control of the daily comprehensive production index of the whole process of the enterprise by setting the corresponding working condition parameters to obtain the target value of the operation index corresponding to different processes, and realize the coordinated optimization of each process in the mineral processing process.

Description

technical field [0001] The invention belongs to the technical field of beneficiation process, and relates to a method for optimizing the operation index of the beneficiation process. Background technique [0002] Mining is the industry with the longest history, and it is also the basic industry of national economic development. It involves agriculture, light industry, chemical industry, metallurgy, machinery, construction, energy, transportation, national defense and many fields of people's daily life, and has penetrated into To aerospace, information and other high-tech industries. It can be seen that the mining industry plays an irreplaceable and important role in economic development. The beneficiation process is an extremely complicated industrial process, involving multiple beneficiation process processes such as shaft furnace, ore grinding (strong and weak grinding) and magnetic separation (strong and weak magnetic beneficiation). At the same time, each process is int...

AI Technical Summary

Problems solved by technology

Most of the research on the traditional optimization control system is limited to the local optimization of a single process, without taking into account the various factors affecting the industrial production process of the beneficiation process at the same time

[0006] 2. The optimal control objective of the research is not comprehensive enough

For example, only a single indicator such as benefit or cost is considered, and indicators such as resource consumption, energy consumption, and output are ignored

[0007] 3. It is difficult to effectively integrate production process automation information and production process management information

[0008] 4. The key process indicators in the production process of the enterprise are often adjusted manually by experience

Due to the frequent and changeable production conditions and the lack of real-time process data support, it is often difficult to achieve the optimization of process indicators in this way

[0009] 5. Existing research often only studies isolated process index control algorithms, and has not passed the overall verification test in the actual environment of complex industrial processes, so it is difficult to apply to complex and changeable production processes

[0010] 6. The existing algorithm encapsulation methods only support the encapsulation of algorithms based on mathematical models and cannot be dynamically changed according to changes in environmental parameters

However, many of the optimization algorithms corresponding to each model in the index optimization control process are intelligent algorithms based on data, and the index optimization control system requires multiple algorithms to be executed interactively. The calculation environment parameters of each step are dynamically changed, and cannot be obtained through prior documents. predefined

Therefore, this encapsulation method is difficult to effectively solve the needs of actual index optimization

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