| Supervision is important for ensuring product quality,and it is to trace the whole process of equipment manufacture.A supervisory system can monitor the entire cross-linked cable manufacturing process and form an electronic information record.It will help to prevent the manufacturing errors which may be caused by negligence,and hence improve the authenticity of the sampling data on site.And also,it will make necessary complements,control and supervise the overall manufacturing process,so that the success rate is improved greatly.In this thesis,a new cross-linked cable production quality remote on-line monitoring method is proposed,based on the analysis of the production process and key process parameters.We can monitor the production status of the cable continuously in real time,and then realize the quality supervison of the cable.This thesis mainly completes the following research and design tasks:(1)First,the production processes and equipments for XLPE cable are analyzed,and the functions of each process are studied.The 3ds Max software is used to build the virtual production model to realize three-dimensional effect.And then the model is imported to the Unity virtual engine by changing to.Fbx format file,and thus a virtual scene is built.Then the C # scripting language is used to make the motion control script.By this way,the cross-linked cable production process is reproduced.(2)In view of the production data of cable manufacturing enterprises may be altered during the transmission process,and the monitoring data obtained by equipment buyers such as state grid may be fabricated,this thesis presents a data transmission and preservation scheme based on block chain.The scheme has high data tamper resistance,which can effectively preventing the production data of cable manufacture in the cable manufacturing process being affected by human intervention.Moreover,the block chain intelligent contract based on Hyperledger Fabric is debugged and developed,and the secure storage in the cable data transmission process is realized.(3)A remote online monitoring system,including the human-computer interaction modules,cable quality prediction module,data communication module and database module,is designed and implemented.In the system,BP neural network is used to predict and analyze the cable cross-linking quality,and it is simulated in MATLAB environment.The simulation results show that the BP network model has high prediction accuracy and fast prediction speed,and can achieve good prediction results.(4)At last,the remote online supervision system is verified and tested.The Hyperledger Fabric block chain test environment is set up,and then the functions of the system interaction modules and the block chain are tested.The test results show that the system designed in this thesis could achieve the expected objections well. |
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