國立虎尾科技大學 |

Internet of Things for Industry 4.0 = Design, Challenges and Solutions /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Internet of Things for Industry 4.0/ edited by G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima.
其他題名:	Design, Challenges and Solutions /
其他作者:	Mahima, V.
面頁冊數:	XIV, 258 p. 94 illus., 76 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-32530-5
ISBN:	9783030325305

Internet of Things for Industry 4.0 = Design, Challenges and Solutions /
Internet of Things for Industry 4.0Design, Challenges and Solutions /[electronic resource] :edited by G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima. - 1st ed. 2020. - XIV, 258 p. 94 illus., 76 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8595. - EAI/Springer Innovations in Communication and Computing,.

Part 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.

This 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.

ISBN: 9783030325305

Standard No.: 10.1007/978-3-030-32530-5doiSubjects--Topical Terms:

1226308
Data Engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Internet of Things for Industry 4.0 = Design, Challenges and Solutions /
LDR:03550nam a22004095i 4500 001 1023554
003 DE-He213
005 20200703091257.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030325305 $9 978-3-030-32530-5
024 7 $a 10.1007/978-3-030-32530-5 $2 doi
035 $a 978-3-030-32530-5
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
245 1 0 $a Internet of Things for Industry 4.0 $h [electronic resource] : $b Design, Challenges and Solutions / $c edited by G. R. Kanagachidambaresan, R. Anand, E. Balasubramanian, V. Mahima.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XIV, 258 p. 94 illus., 76 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8595
505 0 $a Part 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 $a This 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 2 4 $a Data Engineering. $3 1226308
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Industrial and Production Engineering. $3 593943
650 2 4 $a Information Systems Applications (incl. Internet). $3 881699
650 2 4 $a Electronics and Microelectronics, Instrumentation. $3 670219
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Production engineering. $3 566269
650 0 $a Industrial engineering. $3 679492
650 0 $a Application software. $3 528147
650 0 $a Microelectronics. $3 554956
650 0 $a Electronics. $3 596389
650 0 $a Electrical engineering. $3 596380
700 1 $a Mahima, V. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319521
700 1 $a Balasubramanian, E. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319520
700 1 $a Anand, R. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319519
700 1 $a Kanagachidambaresan, G. R. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1297727
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030325299
776 0 8 $i Printed edition: $z 9783030325312
776 0 8 $i Printed edition: $z 9783030325329
830 0 $a EAI/Springer Innovations in Communication and Computing, $x 2522-8595 $3 1288259
856 4 0 $u https://doi.org/10.1007/978-3-030-32530-5
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)