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020 _a9783030325305
_9978-3-030-32530-5
024 7 _a10.1007/978-3-030-32530-5
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aInternet of Things for Industry 4.0
_h[electronic resource] :
_bDesign, Challenges and Solutions /
_cedited by G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 258 p. 94 illus., 76 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEAI/Springer Innovations in Communication and Computing,
_x2522-8609
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 _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.
650 0 _aTelecommunication.
_910437
650 0 _aElectronics.
_93425
650 0 _aApplication software.
_939354
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aEngineering—Data processing.
_931556
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aElectronics and Microelectronics, Instrumentation.
_932249
650 2 4 _aComputer and Information Systems Applications.
_939355
650 2 4 _aIndustrial and Production Engineering.
_931644
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aData Engineering.
_932525
700 1 _aKanagachidambaresan, G. R.
_eeditor.
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700 1 _aAnand, R.
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_939357
700 1 _aBalasubramanian, E.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_939358
700 1 _aMahima, V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_939359
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030325312
776 0 8 _iPrinted edition:
_z9783030325329
830 0 _aEAI/Springer Innovations in Communication and Computing,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-32530-5
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