| With the vigorous promotion of infrastructure construction in China,the production of pipe piles is increasing and has a broad market prospect.In the process of pipe pile production,the residual slurry produced after the centrifugal forming process contains a large amount of alkaline substances,which will bring about a huge waste of resources and environmental pollution.At present,the slurry recycling equipment in the pipe pile enterprises is not highly automated and requires manual participation in density proportion control.In addition,the residual slurry tends to precipitate and harden quickly in the recycling process,which will lead to inaccurate density control and difficulty in recycling.In response to the above problems,This article develops a density controllable equipment for recovering residual slurry from pipe piles,and conducts relevant research on the control of residual slurry density.The main research contents are as follows:(1)The overall structural design of the pipe pile residual slurry recovery equipment.Based on the functional requirements of the pipe pile residual slurry recycling equipment,the 3D models of the collection component,homogenisation component and storage component were designed,and the static and fluid analysis of the mixing device of each component was carried out based on ANSYS Workbench software.Finally,according to the workflow of the pipe pile residual slurry recycling equipment,the development of the pipe pile residual slurry recycling equipment was completed.(2)Modelling and analysis of the density control system for residual slurry density of pipe piles.Through the study of the working principle and process of the equipment,the influencing factors of the pipe pile residual slurry density control are analysed and the pipe pile residual slurry density control system is designed,in which the water valve flow is controlled by closed-loop proportional control and the mixing motor is controlled by double closed-loop speed regulation.Then the density control system of the pipe pile residual slurry recovery equipment was mathematically modelled and analysed,laying the foundation for the next step of the control algorithm research.(3)Slurry density control algorithm and simulation study of pipe pile.According to the principle and characteristics of BP neural network PID control algorithm,the BP neural network PID controller of water valve flow control system is designed,and the simulation model of density control system is established based on Matlab/Simulink,and the simulation analysis is carried out,and the simulation results show that the control effect is good.For the problem of slow convergence of BP neural network algorithm,the BP neural network PID controller is further optimized by particle swarm algorithm,which has a large improvement on the convergence speed of the system and the steady-state error is almost zero.Finally,a system simulation model is established for the control system of the mixing device in the storage assembly,and the results show that the system can control the rotational speed of the mixing motor through the feedback of the density difference between the upper,middle and lower parts of the residual slurry to realize the homogenization of the residual slurry of the pipe pile.(4)Design of slurry density control system for pipe pile.Based on Mitsubishi FX3U-80 M PLC,the control system of pipe pile residual slurry recycling equipment was developed.Firstly,the I/O ports were assigned according to the workflow and functional requirements of the equipment,and the control program was written using GX Works 2software.Then,using Velcom touch screen as the host computer and Easybuilder Pro software to complete the design of human-machine interface.Through the joint configuration simulation of PLC program and touch screen,we verify the feasibility of the software system and realize the functions of real-time monitoring,parameter modification and status display when the equipment is running.Finally,the experiment verifies that the equipment and the control system can meet the actual production requirements and improve the production efficiency at the same time. |