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020 _a9783030325305
024 7 _a10.1007/978-3-030-32530-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aTK5105.8857
_b2020 EB
245 0 0 _aInternet of Things for Industry 4.0 :
_bDesign, Challenges and Solutions
_cedited by G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima.
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020.
300 _a1 recurso en línea (XIV, 258 páginas)
_b 94 ilustraciones, 76 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEAI/Springer Innovations in Communication and Computing
_x2522-8595
505 0 _aPart I - Smart sensing in Industries -- Sensor design and rapid prototyping for industrial problems -- Technology, protocols and new innovations in IIoT -- Predictive analytics for critical machines using deep learning and machine intelligence -- Smart object recognition for warehouse logistics and security -- Digital Twin creating, challenges and solutions -- Part II - Machine Intelligence and automation -- Machine Health monitoring and fool proof diagnosis -- Role of AI and bio inspired computing in decision making -- Deep learning concepts aiding Industrial applications -- Energy harvesting methodologies and experimentation of sensors and actuators -- Reliability analysis and fault tolerant architecture for IIoT and Edge Computing -- Delay tolerant system for critical machine monitoring -- Part III - Role of robotics in smart production -- Automation solution for smart development applications -- UAV, UGV solutions for warehouse logistics -- Customer interaction and feedback collection robots using deep learning -- Smart recognition system for Business predictions -- Role of RFID in industry 4.0 -- Conclusion.
520 3 _aThis book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the role of Internet of Things in establishing standards. The sensor design for industrial problem, challenges faced, and solutions are all addressed. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. The book is aimed at existing problems faced by the industry at present, with the goal of cost-efficiency and unmanned automation. It also concentrates on predictive maintenance and predictive failures. In addition, it includes design challenges and a survey of literature. Discusses the move towards Industry 4.0 standards and creating a digital twin concept to increase production Presents results and design solutions for industrial standards for IoT Intended for researchers, industrialists and data scientists.
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_9483083
_aInternet de los objetos
700 1 _aKanagachidambaresan, G. R
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aAnand, R
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBalasubramanian, E
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMahima, V
_eeditor
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030325299
776 0 8 _iPrinted edition:
_z9783030325312
776 0 8 _iPrinted edition:
_z9783030325329
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-32530-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998 _b03/2020
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