Research And Application Of Agent Intelligent Adding System In The Process Of Coal Slurry Water Thickening

The proposal of "Intelligent Manufacturing in China" puts forward new requirements for the development of coal mining enterprises.At present,most coal mining companies have achieved mechanized production,but in order to meet the needs of the progress of the times,coal mining companies need to start from multiple dimensions to further increase the degree of production automation and intelligence.The coal preparation plant undertakes the work of washing during the coal production process,and the realization of intelligent production in the coal preparation plant is of great significance to the entire coal mine enterprise.As an important step in the entire washing process,slime water treatment is related to the quality of the washing circulating water and affects the production efficiency and product quality of the coal preparation plant.Concentration is the current mainstream method of slime water treatment.The concentration process is a process of solid-liquid separation.The slime water contains a large number of insoluble water particles and very fine slime particles,which is to accelerate the sedimentation rate of the insoluble water particles and promote the very fine slime.The effective sedimentation of particles,the addition of auxiliary agents,flocculants and coagulants in the slime water,the reasonable addition of agents greatly affects the concentration effect.This paper takes the Hexi Coal Preparation Plant as the research background.The plant lacks effective monitoring methods.Workers on the post visually observe the amount of medicament to be added to adjust the turbidity of the overflow water,resulting in waste of medicament and increasing production costs,resulting in unstable turbidity of the overflow water and unable to meet the selection requirements.The coal plant's requirements for circulating water,aiming at the above problems,put forward a study on the intelligent dosing system for the concentration process.This article analyzes the various influencing factors of the concentration process.As a typical physicochemical reaction process,it is a multi-linear and large lag process,and it is impossible to establish an accurate mathematical model.Therefore,this article adopts a feedforward + feedback control strategy.In the feedforward part,firstly establish the Lssvm prediction model,use the multi-objective particle swarm algorithm to optimize,and obtain the best dosage of the agent.In the feedback part,the sludge interface instrument is used to measure the thickness of the slime layer in the thickening tank,which reflects the sedimentation speed of slime particles,and is used as a feedback input to correct the amount of agent added.This paper introduces the principle of Lssvm algorithm and Mopso algorithm in detail.According to the correlation between the influencing factors of the enrichment process,a prediction model based on Lssvm is established,the data training model is collected on-site,and the accuracy of the model is tested,and the pharmaceutical cost function is established.Optimizing the model,establishing constraints based on the onsite working conditions,selecting the Mopso algorithm to optimize the optimization model,and performing simulation experiments on the computer to verify the feasibility of the algorithm.This system is modified on the basis of the original system.The programmable controller used in the original system is Siemens s7-200,so this system also adopts s7-200.The control system structure is master-slave,and the original system is the slave.Station,the newly added plc is the main station,the upper computer uses Advantech ACP400,uses Matlab to build the Lssvm prediction model,and performs optimization calculations based on the Mopso algorithm,and the communication method between Matlab and the controller uses opc communication.The on-site controller collects the data of each sensor,uploads it to the upper computer through opc,stores it in the upper computer and optimizes it,and obtains the optimal dosage of medicine,which is transmitted back to the controller,and the controller controls the action of the actuator to adjust the dosage of the medicine.The thickness of the deposited coal sludge detected by the sludge interface instrument is used as a feedback value to adjust the dosage of the agent and improve the stability of the system.The entire system uses the Hexi Coal Preparation Plant as an industrial test site.The system is stable and reliable in the trial operation stage.Comparing the production data before and after the system transformation,the consumption of reagents has been reduced,and the consumption of PAC per ton of slime has been reduced(4.91%).The PAM consumption per ton of coal slime has been reduced(5.39%),and the turbidity of the circulating water is controlled within the range of(1000?2000mg/L),which meets the requirements of the new standard B/T 35051-2018 coal preparation plant wash water closed-circuit circulation level.It also promotes the filter press process to a certain extent.The water content of the filter cake is significantly reduced,indicating that the system has stable and good performance in the trial operation stage,ensuring the production needs of the coal preparation plant,reducing the consumption of chemicals,reducing the production cost of the coal preparation plant and improving economic benefits.