Tailing activation process system based on drying, grinding and selecting integrated intelligent production equipment

An intelligent production and tailings technology, applied in cement production, grain processing, etc., can solve problems such as activity index fluctuations, process cannot be monitored in real time, and the cost of grinding powder is increased, so as to achieve the effect of high quality and efficient production

Active Publication Date: 2022-01-14
厦门兑泰新材料科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The activation process can improve the activity index of the tailings. The existing activation process separates drying, iron removal, and grinding and separating in different equipment, which increases the cost of grinding and separating, and the process cannot be monitored in real time. Even if the tailings are produced by using the same beneficiation process in the same mining area, there is no guarantee that the activity index of the product can fluctuate stably within a reasonable range after the activation process is completed due to different batches

Method used

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  • Tailing activation process system based on drying, grinding and selecting integrated intelligent production equipment
  • Tailing activation process system based on drying, grinding and selecting integrated intelligent production equipment
  • Tailing activation process system based on drying, grinding and selecting integrated intelligent production equipment

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Effect test

Embodiment 1

[0064] figure 1 A layout mode of the tailings activation process system based on the integrated intelligent production equipment of drying, grinding and separating is given, including an intelligent "drying, grinding and separating" integrated machine A, and the intelligent system connected by setting a closed channel D of a conveyor belt. Chemical activation machine B, and intelligent production execution system C for comprehensive utilization of tailings.

[0065] Among them, the structure of the intelligent "drying, grinding and selecting" all-in-one machine A is as follows: figure 2 As shown, it includes: an outer frame 1, a mill composed of a vibration-assisted multi-layer grinding mechanism and a suspended mill box, a multi-point air intake drying device 5, and a circulating powder selection system, wherein the suspended mill The box is divided into an upper box body 2 and a lower box body 3. The lower box body 3 is flexibly connected with the outer frame 1 by an elast...

Embodiment 2

[0077] Such as Figure 5 As shown, the ELM algorithm for real-time monitoring of equipment failures specifically includes:

[0078] S1 collects the abnormal data of intelligent "drying, grinding and selecting" all-in-one machine and intelligent activation machine, establishes the mapping relationship between faults and abnormal data characteristic parameters after analysis, and forms a fault database;

[0079] S2 conducts off-line big data analysis and feature extraction on abnormal data; finally, calculates through the ELM extreme learning algorithm, and compares the calculation results with the fault database to determine the type of equipment fault.

[0080] Among them, S1 specifically includes:

[0081] The second module described in S1-1 is respectively used for the first current sensor, the first voltage sensor, the first displacement sensor, the high-temperature airflow temperature sensor, the first tension sensor, the first vibration frequency sensor, the infrared sen...

Embodiment 3

[0091] The LSTM algorithm monitors the energy consumption of the system in real time, including:

[0092] The second module of P1 collects the data of the first current sensor, the first voltage sensor, the second current sensor, and the second voltage sensor in real time, and obtains multiple energy consumption time series data C during the same time period in consecutive days i (t), i∈[1,90], the number of samples is 90, and it is divided into training set and verification set, and the ratio of the two is 4:1;

[0093] P2 as Figure 7 As shown, build the LSTM model and choose the initial time t 0 and the target time t g Energy consumption time series data for periods between The initial energy consumption C i (t 0 ), energy consumption C at each time node i (t j ) Energy consumption C at the target moment of the sequence i (t g ) into the LSTM model to get the predicted energy consumption at each time node Figure 7 Contains the cell state C that is transmitte...

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Abstract

The invention discloses a tailing activation process system based on drying, grinding and selecting integrated intelligent production equipment. The tailing activation process system is characterized by involving tailing intelligent production equipment used for carrying out the following activation processes on tailings, namely drying, grinding, powder selecting treatment, drying, grinding and powder selecting circulation treatment of unselected materials of powder selecting and activation treatment of selected materials, and a tailing comprehensive utilization intelligent production execution system, wherein powder separation treatment comprises magnetic separation and screening which are carried out in sequence. A drying, grinding and separation integrated treatment mode is adopted, and the magnetic separation step and the crushing step are separated and put into the powder separation step, so that the stability of the high quality of products is guaranteed; and an intelligent algorithm is adopted for monitoring and adjusting the tailing activation process in real time and monitoring equipment faults and energy consumption, so that intelligent activation production of the tailings is achieved, the average processing time of field problems is shortened by 25%, and the production plan execution rate is effectively improved by 15%.

Description

technical field [0001] The invention relates to a tailings activation process system, in particular to a tailings activation process system based on integrated intelligent production equipment of drying, grinding and separation, which belongs to the field of activation process equipment. Background technique [0002] Tailings are underutilized due to low levels of target composition. The activation process can improve the activity index of the tailings. The existing activation process separates drying, iron removal, and grinding and separating in different equipment, which increases the cost of grinding and separating, and the process cannot be monitored in real time. Even if the tailings are produced by using the same beneficiation process in the same mining area, it cannot be guaranteed that the activity index of the product will fluctuate stably within a reasonable range after the activation process is completed due to different batches. Contents of the invention [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B02C21/00B02C19/16B02C23/14B02C25/00
CPCB02C21/00B02C19/16B02C23/14B02C25/00Y02P40/10
Inventor 李文娟李生白吴毅郑同林
Owner 厦门兑泰新材料科技有限公司
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