Research Of Intelligent Deviation Correction System Of The Curve Belt Conveyor

During the operation of the curve belt conveyor,there is often a problem of belt deviation,which requires manual correction by stopping the conveyor machine to ensure the efficiency of material transportation.This not only increases the cost of operation and maintenance but also causes huge losses to the users of the belt conveyor.This paper focuses on the issue of correcting the deviation of the curve conveyor belt,and conducts research on the intelligent deviation correction system of the curve belt conveyor from aspects such as the calculation method of the deviation amount of the curve conveyor belt,the prediction of the deviation of the conveyor belt,the deviation detection,the deviation correction device,the deviation correction controller,and the human-computer interaction interface.The main research work of this article is as follows:Establishment of a calculation method for the deviation of the conveyor belt of the curve belt conveyor.By analyzing the causes of deviation and corrective measures of the conveyor belt in the curve section,a force balance calculation equation and a gravity distribution coefficient calculation equation are established for the curve conveyor belt.The maximum acceptable deviation of the roller frame at different angles is solved by combining the equations,and the priority of adjusting the angle of the idler frame is obtained.The correctable deviation range of the curve belt conveyor is calculated.Establishment of a prediction model for conveyor belts in the curve section.By building an experimental platform for measuring the deviation of the conveyor belt in the curve section,machine vision is used to collect the deviation images of the conveyor belt in the curve section,and a conveyor belt deviation dataset is established.The belt deviation dataset is used as the training set,and the ARIMA-LSTM combination prediction model is established based on the series-parallel weighting method.The conveyor belt deviation anomaly detection model is established based on the OCSVM algorithm.Finally,analyze the accuracy,fitting degree,time,and performance to verify the accuracy and feasibility of the combined prediction model.The structural design of the deviation correction device for the adjustable idler frame.Design a deviation correction device that can adjust the trough angle and elevation angle of the idler frame,and conduct design calculations,finite element analysis,and verification on the key components of the deviation correction device to verify the reliability of the designed deviation correction device structure.Research on compound fuzzy PID deviation correction control.Design the control process of the deviation correction device and a compound fuzzy PID deviation correction controller,and establish a joint simulation model of the deviation correction control system based on SOLIDWORKS/MSC-ADAMS/MATLAB to verify the superiority of the proposed compound fuzzy PID controller.Then,to eliminate the hysteresis phenomenon in the initial response of the compound fuzzy PID controller,a genetic algorithm is introduced to tune the parameters of the compound fuzzy PID controller.The results show that the compound fuzzy PID controller tuned based on genetic algorithm greatly shortens the response time of the controller and eliminates the hysteresis phenomenon in the initial response of the controller.Combined with the deviation correction device,it can quickly and accurately adjust the angle of the support idler frame.Design of human-machine interaction interface for the curve section correction system.Design the deviation detection interface,deviation prediction interface,and deviation adjustment interface of the intelligent deviation correction system,integrating the aforementioned deviation calculation method,anomaly detection model,combination prediction model,deviation correction device structure,and deviation correction controller.Design the interaction process between the user and the system at the front and back ends,as well as the interaction process between the interface and conduct experimental verification on the experimental prototype based on actual working conditions.The results show that the deviation correction system studied can accurately detect,predict,and warn the deviation of conveyor belts,and provide reasonable suggestions for adjusting the deviation angle.