Design And Implementation Of Intelligent Control System For Loop Of Assembly Machine Based On Internet Of Things

In order to comply with the development of the times,improve the efficiency of equipment use.It enables the equipment to switch quickly in different production modes,reducing the need for technicians to travel repeatedly to save labor costs.This article is based on the block forming machine ring line,borrows the physical information system(CPS)construction concept,and uses the Internet of Things to build an IoT intelligent control system for the block forming machine ring line.The intelligent control system in this paper is divided into three levels according to the design requirements and functional requirements,namely the intelligent control layer,the Internet of Things layer and the device side.The intelligent control layer receives data from the Internet of Things layer and analyzes and processes these data,and cooperates with other input information to complete the monitoring of the entire production process.At the same time,issue commands to the IoT layer and generate a complete record of the data collected during the production process.The IoT layer collects environmental data through sensors and uploads it to the intelligent control layer.Set up the equipment work logic to complete the autonomous control of the equipment,at the same time generate the work log and complete the setting of the alarm module.First,analyze the structure and function of the intelligent control layer,complete the development of the intelligent control program,and debug and optimize the functions of each module.Establish and improve the work flow of intelligent control programs and various data processing.Establish a neural network model to calculate the main working parameters of the equipment,assist in parameter setting and control setting to complete the compilation of the corresponding processing program.The training of the neural network is completed through forward propagation and backward error correction,and the calculation results are imported into the corresponding parameter files.In order to reduce the influence of obstacles and interference in the environment on positioning accuracy,this paper builds a four-point positioning calculation mathematical model on the basis of trilateral measurement of conventional Bluetooth positioning methods.The experiment is compared with the conventional positioning methods of surveying and least squares.Experimental results prove that the method can indeed improve the positioning accuracy to a certain extent.Second,analyze the structure and requirements of the Internet of Things layer,and select the applicable Internet of Things configuration software.Determine the design scheme of the Internet of Things into various structural and functional modules.The design and assembly of the data pickup module,information communication module,end control module and alarm module are completed respectively.Based on the information communication requirements of the Internet of Things layer and the intelligent control layer,the structure design of the information communication is completed and realized.At the same time,a communication method for offline status is established.Finally,the intelligent control system is used to conduct a control experiment with the original production mode,and the statistical control information is used to analyze the data records of the intelligent control system.The experimental results show that the intelligent control system can improve the use efficiency and production capacity of the equipment.Compared with the original equipment,the equipment adjustment and troubleshooting have been greatly improved.It also provides data traceback function to analyze and analyze problems in the production process.