Industrial Workshop Based on Internet of Things

Zusatztext

Advanced monitoring systems for the diagnosis and the prognostic of machinery, industrial components and systems can be used to Management the working place. The book will focus on fully automated monitoring systems able to analyses data from sensors (directly installed on the systems to be monitored), quantify anomalies, malfunctions and potential accidents by mathematical algorithms.In order to ensure the applicability of the monitoring methods, some techniques are needed for the organization, the analysis and the management of the vast and heterogeneous data acquired by the sensor systems currently in use.The Internet of Things (IoT) with CAD/CAM software.A case study has experimented and tested to express the completed stages of CAD/CAM system, starting from a proposed free form surface is introduced using Bezier technique with sixth order in two parametric variables. MATLAB and UG-NX10 software are used to generate the toolpath and G-codes for the proposed surface. The Direct Numerical Control software with the help of Embedded Wifi modules and Internet of Things system are used to transfer the G-code data via WLAN to the CNC machine.

Autorenportrait

Saif Aldeen Saad Obayes: MIEEE,MIET. earned his BSc in EE(Babylon University), Higher Diploma in PSE from College of Electrical and Electronic Technology,MSc degrees in EMSE from University of Technology,Baghdad, Iraq.More than 8 years experiences in EMSE,Industry Management and E-governments.IEEE ROBOTICS AND AUTOMATION SOCIETY

Weitere Details