Design And Implementation Of Drawing Frame Monitoring System With IoT

With the development of the IoT(Internet of Things)and cloud computing technology,the manufacturing industry has ushered in a transformation wave that is based on digitalization,supported by network and intelligentized as the development goal.The edge computing provides intelligent services by providing intelligent services on the edge of the network,and coordination with cloud computing to enable intelligent gateway and intelligent system.The drawing process is a key step in improving the quality of the sliver,and the quality of the sliver in this step will influences the quality of the subsequent yarn.The monitoring of the status of the draw frame and the on-line test of the quality of the sliver helps modify the model and process parameters of the draw frame control system to further improve the quality of the sliver.This paper designs a drawing frame monitoring system with the IoT based on the IoT technology and the edge computing architecture.This article firstly analyzes the requirements of the draw frame monitoring syste m with IoT and compares the commonly used communication protocols of the Io T.And then,we design the system architecture of the draw frame IoT.Then we design the IoT communication gateway and the server of the IoT monitoring syst em,both of them are based on MQTT protocol.We improve the connection mec hanism of the MQTT proxy server based on the Epoll I/O multiplexing mechanis m and implement the data transmission between the IoT gateway and edge compu ting nodes based on RPMsg protocol.After analyzing a sliver wave spectrogram calculation method based on the wavelet transform and Fourier transform algorithm,we design a wave spectrogram calculation method based on the envelope algorithm.We design the processing flow of each functional module of the edge computing node and optimize the calculation process with the definition of A%,CV%,which greatly reduces the intermediate variables and prevent data overflow.Finally,this paper implements the functional modules of edge computing nodes on Cortex-M4 embedded platform.This paper design and implements a draw frame monitoring system with IoT,which can remotely monitor the status of the draw frame and intelligent analysis for later stage.And experimental results show that the result are accurate and the system is stable.