Research On Fault Diagnosis Of Optical Cable Manufacturing Electrical Equipment Based On Digital Twin

With the rapid development of digital twin technology,it provides great potential for the transformation of traditional manufacturing to digital and intelligent.Optical cable manufacturing is one of the most important manufacturing fields in my country.In recent years,the vigorous development of my country’s communication industry and the rapid popularization of 5G technology have created new requirements for the demand for optical cable products and the quality of optical cable manufacturing.However,at present,some electrical equipment in the optical cable manufacturing workshop lacks the ability to identify abnormal and fault states,and lacks real-time online fault diagnosis and three-dimensional visual monitoring system.There are problems of intelligence and low digitization between optical cables.Therefore,in view of the above problems,this paper proposes a digital The method of 3D visual monitoring and fault diagnosis of twin optical cable manufacturing workshop is studied in depth.The main research contents of this paper are as follows :(1)Aiming at the equipment of optical cable manufacturing workshop,combined with the workshop production process and equipment operation mechanism.The digital modeling of the full physical properties of the optical fiber secondary sheathing workshop mainly includes the construction of geometric model,physical model,behavior model and rule model.The communication framework of the system is built based on OPC UA,which solves the problem of inconsistent communication protocols,and realizes the interconnection and real-time mapping of physical workshops and virtual workshops.(2)A fault diagnosis method based on the improved Sparrow Search Algorithm Optimized Random Forest is proposed,and a twin data-driven ISSA-RF fault diagnosis model is constructed.The sparrow search algorithm is improved by introducing Tent chaotic map,crossover mutation of genetic thought,T distribution and simulated annealing strategy,which solves the problems of uneven population distribution,insufficient population diversity,easy to fall into local optimum and low convergence speed.PSO,GWO,WOA,and SSA are compared in experiments.The experimental results show that ISSA-RF has high solution accuracy and efficiency,and has strong stability and robustness.The number of random forest decision trees and the number of features of each node are optimized by the improved sparrow search algorithm,so as to construct the ISSA-RF fault diagnosis model.(3)Aiming at the characteristics of turn-to-turn short-circuit fault and demagnetization fault of permanent magnet synchronous motor,a fault diagnosis method of permanent magnet synchronous motor based on ISSA-RF is proposed.Firstly,a fault simulation model of permanent magnet synchronous motor is built to obtain the stator current signal under different faults.Secondly,VMD is used to decompose the obtained stator current signal,extract the fault features,create a motor fault data set and train the ISSA-RF algorithm.Finally,the training is carried out.The completed ISSA-RF algorithm is used for motor fault diagnosis experiments.The experimental results show that the proposed method has high accuracy and feasibility.(4)Based on the digital twin and ISSA-RF fault diagnosis model,the digital twin system of the optical fiber secondary sleeve plastic workshop in cable production is constructed,and realize the three-dimensional visual monitoring and fault diagnosis of the electrical equipment in the optical fiber secondary plastic coating workshop.The fault diagnosis system is verified to prove its effectiveness and feasibility.Figure 69 Table 10 Reference 88...