Introduction to Industrial Internet of Things and Industry 4. 0:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Milton
Taylor & Francis Group
2020
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| Schlagworte: | |
| Online-Zugang: | DE-1050 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (398 Seiten) |
| ISBN: | 9781000283068 |
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| 245 | 1 | 0 | |a Introduction to Industrial Internet of Things and Industry 4. 0 |
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| 505 | 8 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Author Biographies -- Preface -- 1. Overview of Internet of Things -- 1.1. Learning Outcomes -- 1.2. Introduction -- 1.3. IoT Architecture -- 1.4. Application-based IoT Protocols -- 1.4.1. Infrastructure-based protocols -- 1.4.2. Data protocols -- 1.4.3. Transport protocols -- 1.5. Cloud Computing -- 1.5.1. Types of cloud -- 1.5.2. Business aspects of cloud -- 1.5.3. Virtualization: Key aspect of cloud computing -- 1.5.4. Mobile cloud computing -- 1.6. Fog Computing -- 1.6.1. Applications of Fog computing -- 1.7. Sensor Cloud -- 1.7.1. Applications of Sensor Cloud -- 1.8. Big Data -- 2. Overview of Industry 4.0 and Industrial Internet of Things -- 2.1. Introduction -- 2.2. Industry 4.0 -- 2.2.1. Industrial revolution: Phases of development -- 2.2.2. Evolution of Industry 4.0 -- 2.2.3. Environmental impacts of industrial revolution -- 2.2.4. Industrial Internet -- 2.2.5. Applications of Industry 4.0 -- 2.3. IIoT -- 2.3.1. Prerequisites of IIoT -- 2.3.2. Basics of CPS -- 2.3.3. CPS and IIoT -- 2.3.4. Applications of IIoT -- 3. Industry 4.0: Basics -- 3.1 Introduction -- 3.1.1. Historical context -- 3.1.2. Significant changes in the industry -- 3.2. Design requirements of Industry 4.0 -- 3.3. Drivers of Industry 4.0 -- 3.3.1. Megatrends -- 3.3.2. Tipping points -- 3.4. Sustainability Assessment of industries -- 3.4.1. Globalization effects -- 3.4.2. Socio-economic effects -- 3.5. Smart Business Perspective -- 3.5.1. Characteristics of smart business model -- 3.6. Cybersecurity -- 3.6.1. Various cybersecurity threats -- 3.6.2. Requirements of cybersecurity -- 3.7. Impacts of Industry 4.0 -- 3.7.1. Economy perspective -- 3.7.2. Business perspective -- 3.7.3. Global perspective -- 4. Industrial Internet of Things: Basics -- 4.1. Introduction | |
| 505 | 8 | |a 4.1.1. IIoT and Industry 4.0 -- 4.1.2. IIC -- 4.2. Industrial Internet Systems -- 4.2.1. Design of industrial internet systems -- 4.2.2. Impact of industrial internet -- 4.2.3. Benefits of industrial internet -- 4.3. Industrial sensing -- 4.3.1. Traditional sensing -- 4.3.2. Contemporary sensing -- 4.4. Industrial Processes -- 4.4.1. Features of IIoT for industrial processes -- 4.4.2. Industrial plant-The future architecture -- 4.4.3. Viewpoint of industrial processes -- 4.4.4. Digital Enterprise -- 4.4.5. Applications of Industry 4.0 -- 5. Business Models and Reference Architecture of IIoT -- 5.1. Introduction -- 5.1.1. Business models -- 5.2. Definition of a business model -- 5.2.1. Reference architecture -- 5.3. Business Models of IoT -- 5.4. Business models of IIoT -- 5.4.1. Business opportunities in IIoT -- 5.4.2. Categorization of business models in IIoT -- 5.5. Reference architecture of IoT -- 5.6. Reference Architecture of IIoT -- 5.6.1. Categorization of reference architecture in IIoT -- 5.7. IIRA -- 5.7.1. IIRA framework: Basics -- 5.7.2. Categorization of IIRA frameworks -- 5.8. Key Performance Indicators for Occupational Safety and Health -- 6. Key Technologies: Off-site Technologies -- 6.1. Introduction -- 6.2. Cloud Computing -- 6.2.1. Necessity of cloud computing -- 6.2.2. Cloud computing and IIoT -- 6.2.3. Industrial cloud platform providers -- 6.2.4. SLA for IIoT -- 6.2.5. Requirements of Industry 4.0 and its solution -- 6.3. Fog Computing -- 6.3.1. Fog computing for IIoT -- 6.3.2. Applications of fog and their solutions -- 7. Key Technologies: On-site Technologies -- 7.1. Introduction -- 7.1.1. Need for Industry 4.0 -- 7.1.2. Transformations required -- 7.2. Augmented Reality -- 7.2.1. History of AR -- 7.2.2. Categorization of AR -- 7.2.3. Applications of AR -- 7.3. Virtual Reality -- 7.3.1. History of VR. | |
| 505 | 8 | |a 7.3.2. Categorization of VR -- 7.3.3. Applications of VR -- 7.4. Big Data and Advanced Analytics -- 7.4.1. Characteristics of big data -- 7.4.2. Big data sources -- 7.4.3. Big data acquisition and storage -- 7.4.4. Necessity of data analytics -- 7.4.5. Types of analytics -- 7.5. Smart factories -- 7.5.1. Characteristics of smart factory -- 7.5.2. Technologies used in smart factories -- 7.6. Lean manufacturing system -- 7.6.1. Value streams in lean production system -- 7.6.2. Necessity of lean production system -- 7.6.3. Implementation of lean manufacturing system -- 8. Sensors -- 8.1. Introduction to Sensors -- 8.2. Characteristics -- 8.2.1. Sensor calibration -- 8.2.2. Sensor profile -- 8.2.3. Sensor accuracy -- 8.2.4. Sensor resolution -- 8.2.5. Sensor rating -- 8.2.6. Operating voltage -- 8.2.7. Output -- 8.3. Sensor Categories -- 8.3.1. Thermal sensors -- 8.3.2. Mechanical sensors -- 8.3.3. Electrical sensors -- 8.3.4. Chemical sensors -- 8.3.5. Optical sensors -- 8.3.6. Acoustic sensors -- 9. Actuators -- 9.1. Introduction -- 9.2. Thermal Actuators -- 9.2.1. Takeaways -- 9.3. Hydraulic Actuators -- 9.3.1. Takeaways -- 9.4. Pneumatic Actuators -- 9.4.1. Takeaways -- 9.5. Electromechanical Actuators -- 9.5.1. Takeaways -- 10. Industrial Data Transmission -- 10.1. Introduction -- 10.2. Foundation Fieldbus -- 10.2.1. Features -- 10.2.2. Components -- 10.3. Profibus -- 10.3.1. Features -- 10.3.2. Components -- 10.4. HART -- 10.4.1. Features -- 10.4.2. Components -- 10.5. Interbus -- 10.5.1. Features -- 10.5.2. Components -- 10.6. Bitbus -- 10.6.1. Features -- 10.6.2. Components -- 10.7. CC-Link -- 10.7.1. Features -- 10.7.2. Components -- 10.8. Modbus -- 10.8.1. Features -- 10.8.2. Components -- 10.9. Batibus -- 10.9.1. Features -- 10.9.2. Components -- 10.10. DigitalSTROM -- 10.10.1. Features -- 10.10.2. Components -- 10.11. Controller Area Network | |
| 505 | 8 | |a 10.11.1. Features -- 10.11.2. Components -- 10.12. DeviceNet -- 10.12.1. Features -- 10.12.2. Components -- 10.13. LonWorks -- 10.13.1. Features -- 10.13.2. Components -- 10.14. ISA 100.11a -- 10.14.1. Features -- 10.14.2. Components -- 10.15. Wireless HART -- 10.15.1. Features -- 10.15.2. Components -- 10.16. LoRa and LoRaWAN -- 10.16.1. Features -- 10.16.2. Components -- 10.17. Recent and Upcoming Technologies -- 10.17.1. NB-IoT -- 10.17.2. IEEE 802.11AH -- 11. Industrial Data Acquisition -- 11.1. Introduction -- 11.2. Distributed Control System -- 11.2.1. Components -- 11.3. PLC -- 11.3.1. Components -- 11.4. SCADA -- 11.4.1. Components -- 12. Introduction to IIoT Analytics -- 12.1. Introduction -- 12.1.1. Necessity of analytics -- 12.2 IIoT Analytics -- 12.2.1. Categorization of analytics: IIoT and Industry 4.0 context -- 12.2.2. Usefulness of IIoT analytics -- 12.2.3. Challenges of analytics in industries -- 12.2.4. Mapping of analytics with the IIRA architecture -- 12.2.5. Deployment of analytics -- 12.2.6. Artificial intelligence -- 12.2.7. Applications of analytics across value chain -- 13. Machine Learning and Data Science in Industries -- 13.1. Introduction -- 13.2. Machine Learning -- 13.3. Categorization of ML -- 13.4. Applications of ML in Industries -- 13.5. Data Science in Industries -- 13.6. Deep Learning -- 13.7. Application of Deep Learning in Industries -- 14. Healthcare Applications in Industries -- 14.1. Introduction -- 14.1.1. Major challenges associated with healthcare -- 14.1.2. Coping with increase in diseases -- 14.2. Applications of Healthcare in Industries -- 14.2.1. Smart devices -- 14.2.2. Advanced technologies used in healthcare -- 14.2.3. Open research issues to be addressed -- 15. Inventory Management and Quality Control -- 15.1. Introduction -- 15.2. Inventory Management -- 15.2.1. Inventory | |
| 505 | 8 | |a 15.2.2. Types of inventory management -- 15.3. Inventory Management and IIoT -- 15.3.1. Benefits of IIoT applications in inventory management -- 15.4. Quality Control -- 16. Plant Safety and Security -- 16.1. Introduction -- 16.2. Plant Safety -- 16.2.1. IIoT applications for undertaking safety measures in plant -- 16.3. Plant Security -- 16.3.1. Software security -- 16.3.2. Network security -- 16.3.3. Mobile device security -- 17. Case Studies -- 17.1. Introduction -- 17.2. Manufacturing Industry -- 17.2.1. Background of the industry -- 17.2.2. Challenges -- 17.2.3. Industrial IoT as a solution -- 17.2.4. Benefits -- 17.3. Automotive Industry -- 17.3.1. Background of the industry -- 17.3.2. Challenges -- 17.3.3. Industrial IoT as a solution -- 17.3.4. Benefits -- 17.4. Mining Industry -- 17.4.1. Background of the industry -- 17.4.2. Challenges -- 17.4.3. Industrial IoT as a solution -- 17.4.4. Benefits -- 18. Test Your Understanding -- References -- Index | |
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| contents | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Author Biographies -- Preface -- 1. Overview of Internet of Things -- 1.1. Learning Outcomes -- 1.2. Introduction -- 1.3. IoT Architecture -- 1.4. Application-based IoT Protocols -- 1.4.1. Infrastructure-based protocols -- 1.4.2. Data protocols -- 1.4.3. Transport protocols -- 1.5. Cloud Computing -- 1.5.1. Types of cloud -- 1.5.2. Business aspects of cloud -- 1.5.3. Virtualization: Key aspect of cloud computing -- 1.5.4. Mobile cloud computing -- 1.6. Fog Computing -- 1.6.1. Applications of Fog computing -- 1.7. Sensor Cloud -- 1.7.1. Applications of Sensor Cloud -- 1.8. Big Data -- 2. Overview of Industry 4.0 and Industrial Internet of Things -- 2.1. Introduction -- 2.2. Industry 4.0 -- 2.2.1. Industrial revolution: Phases of development -- 2.2.2. Evolution of Industry 4.0 -- 2.2.3. Environmental impacts of industrial revolution -- 2.2.4. Industrial Internet -- 2.2.5. Applications of Industry 4.0 -- 2.3. IIoT -- 2.3.1. Prerequisites of IIoT -- 2.3.2. Basics of CPS -- 2.3.3. CPS and IIoT -- 2.3.4. Applications of IIoT -- 3. Industry 4.0: Basics -- 3.1 Introduction -- 3.1.1. Historical context -- 3.1.2. Significant changes in the industry -- 3.2. Design requirements of Industry 4.0 -- 3.3. Drivers of Industry 4.0 -- 3.3.1. Megatrends -- 3.3.2. Tipping points -- 3.4. Sustainability Assessment of industries -- 3.4.1. Globalization effects -- 3.4.2. Socio-economic effects -- 3.5. Smart Business Perspective -- 3.5.1. Characteristics of smart business model -- 3.6. Cybersecurity -- 3.6.1. Various cybersecurity threats -- 3.6.2. Requirements of cybersecurity -- 3.7. Impacts of Industry 4.0 -- 3.7.1. Economy perspective -- 3.7.2. Business perspective -- 3.7.3. Global perspective -- 4. Industrial Internet of Things: Basics -- 4.1. Introduction 4.1.1. IIoT and Industry 4.0 -- 4.1.2. IIC -- 4.2. Industrial Internet Systems -- 4.2.1. Design of industrial internet systems -- 4.2.2. Impact of industrial internet -- 4.2.3. Benefits of industrial internet -- 4.3. Industrial sensing -- 4.3.1. Traditional sensing -- 4.3.2. Contemporary sensing -- 4.4. Industrial Processes -- 4.4.1. Features of IIoT for industrial processes -- 4.4.2. Industrial plant-The future architecture -- 4.4.3. Viewpoint of industrial processes -- 4.4.4. Digital Enterprise -- 4.4.5. Applications of Industry 4.0 -- 5. Business Models and Reference Architecture of IIoT -- 5.1. Introduction -- 5.1.1. Business models -- 5.2. Definition of a business model -- 5.2.1. Reference architecture -- 5.3. Business Models of IoT -- 5.4. Business models of IIoT -- 5.4.1. Business opportunities in IIoT -- 5.4.2. Categorization of business models in IIoT -- 5.5. Reference architecture of IoT -- 5.6. Reference Architecture of IIoT -- 5.6.1. Categorization of reference architecture in IIoT -- 5.7. IIRA -- 5.7.1. IIRA framework: Basics -- 5.7.2. Categorization of IIRA frameworks -- 5.8. Key Performance Indicators for Occupational Safety and Health -- 6. Key Technologies: Off-site Technologies -- 6.1. Introduction -- 6.2. Cloud Computing -- 6.2.1. Necessity of cloud computing -- 6.2.2. Cloud computing and IIoT -- 6.2.3. Industrial cloud platform providers -- 6.2.4. SLA for IIoT -- 6.2.5. Requirements of Industry 4.0 and its solution -- 6.3. Fog Computing -- 6.3.1. Fog computing for IIoT -- 6.3.2. Applications of fog and their solutions -- 7. Key Technologies: On-site Technologies -- 7.1. Introduction -- 7.1.1. Need for Industry 4.0 -- 7.1.2. Transformations required -- 7.2. Augmented Reality -- 7.2.1. History of AR -- 7.2.2. Categorization of AR -- 7.2.3. Applications of AR -- 7.3. Virtual Reality -- 7.3.1. History of VR. 7.3.2. Categorization of VR -- 7.3.3. Applications of VR -- 7.4. Big Data and Advanced Analytics -- 7.4.1. Characteristics of big data -- 7.4.2. Big data sources -- 7.4.3. Big data acquisition and storage -- 7.4.4. Necessity of data analytics -- 7.4.5. Types of analytics -- 7.5. Smart factories -- 7.5.1. Characteristics of smart factory -- 7.5.2. Technologies used in smart factories -- 7.6. Lean manufacturing system -- 7.6.1. Value streams in lean production system -- 7.6.2. Necessity of lean production system -- 7.6.3. Implementation of lean manufacturing system -- 8. Sensors -- 8.1. Introduction to Sensors -- 8.2. Characteristics -- 8.2.1. Sensor calibration -- 8.2.2. Sensor profile -- 8.2.3. Sensor accuracy -- 8.2.4. Sensor resolution -- 8.2.5. Sensor rating -- 8.2.6. Operating voltage -- 8.2.7. Output -- 8.3. Sensor Categories -- 8.3.1. Thermal sensors -- 8.3.2. Mechanical sensors -- 8.3.3. Electrical sensors -- 8.3.4. Chemical sensors -- 8.3.5. Optical sensors -- 8.3.6. Acoustic sensors -- 9. Actuators -- 9.1. Introduction -- 9.2. Thermal Actuators -- 9.2.1. Takeaways -- 9.3. Hydraulic Actuators -- 9.3.1. Takeaways -- 9.4. Pneumatic Actuators -- 9.4.1. Takeaways -- 9.5. Electromechanical Actuators -- 9.5.1. Takeaways -- 10. Industrial Data Transmission -- 10.1. Introduction -- 10.2. Foundation Fieldbus -- 10.2.1. Features -- 10.2.2. Components -- 10.3. Profibus -- 10.3.1. Features -- 10.3.2. Components -- 10.4. HART -- 10.4.1. Features -- 10.4.2. Components -- 10.5. Interbus -- 10.5.1. Features -- 10.5.2. Components -- 10.6. Bitbus -- 10.6.1. Features -- 10.6.2. Components -- 10.7. CC-Link -- 10.7.1. Features -- 10.7.2. Components -- 10.8. Modbus -- 10.8.1. Features -- 10.8.2. Components -- 10.9. Batibus -- 10.9.1. Features -- 10.9.2. Components -- 10.10. DigitalSTROM -- 10.10.1. Features -- 10.10.2. Components -- 10.11. Controller Area Network 10.11.1. Features -- 10.11.2. Components -- 10.12. DeviceNet -- 10.12.1. Features -- 10.12.2. Components -- 10.13. LonWorks -- 10.13.1. Features -- 10.13.2. Components -- 10.14. ISA 100.11a -- 10.14.1. Features -- 10.14.2. Components -- 10.15. Wireless HART -- 10.15.1. Features -- 10.15.2. Components -- 10.16. LoRa and LoRaWAN -- 10.16.1. Features -- 10.16.2. Components -- 10.17. Recent and Upcoming Technologies -- 10.17.1. NB-IoT -- 10.17.2. IEEE 802.11AH -- 11. Industrial Data Acquisition -- 11.1. Introduction -- 11.2. Distributed Control System -- 11.2.1. Components -- 11.3. PLC -- 11.3.1. Components -- 11.4. SCADA -- 11.4.1. Components -- 12. Introduction to IIoT Analytics -- 12.1. Introduction -- 12.1.1. Necessity of analytics -- 12.2 IIoT Analytics -- 12.2.1. Categorization of analytics: IIoT and Industry 4.0 context -- 12.2.2. Usefulness of IIoT analytics -- 12.2.3. Challenges of analytics in industries -- 12.2.4. Mapping of analytics with the IIRA architecture -- 12.2.5. Deployment of analytics -- 12.2.6. Artificial intelligence -- 12.2.7. Applications of analytics across value chain -- 13. Machine Learning and Data Science in Industries -- 13.1. Introduction -- 13.2. Machine Learning -- 13.3. Categorization of ML -- 13.4. Applications of ML in Industries -- 13.5. Data Science in Industries -- 13.6. Deep Learning -- 13.7. Application of Deep Learning in Industries -- 14. Healthcare Applications in Industries -- 14.1. Introduction -- 14.1.1. Major challenges associated with healthcare -- 14.1.2. Coping with increase in diseases -- 14.2. Applications of Healthcare in Industries -- 14.2.1. Smart devices -- 14.2.2. Advanced technologies used in healthcare -- 14.2.3. Open research issues to be addressed -- 15. Inventory Management and Quality Control -- 15.1. Introduction -- 15.2. Inventory Management -- 15.2.1. Inventory 15.2.2. Types of inventory management -- 15.3. Inventory Management and IIoT -- 15.3.1. Benefits of IIoT applications in inventory management -- 15.4. Quality Control -- 16. Plant Safety and Security -- 16.1. Introduction -- 16.2. Plant Safety -- 16.2.1. IIoT applications for undertaking safety measures in plant -- 16.3. Plant Security -- 16.3.1. Software security -- 16.3.2. Network security -- 16.3.3. Mobile device security -- 17. Case Studies -- 17.1. Introduction -- 17.2. Manufacturing Industry -- 17.2.1. Background of the industry -- 17.2.2. Challenges -- 17.2.3. Industrial IoT as a solution -- 17.2.4. Benefits -- 17.3. Automotive Industry -- 17.3.1. Background of the industry -- 17.3.2. Challenges -- 17.3.3. Industrial IoT as a solution -- 17.3.4. Benefits -- 17.4. Mining Industry -- 17.4.1. Background of the industry -- 17.4.2. Challenges -- 17.4.3. Industrial IoT as a solution -- 17.4.4. Benefits -- 18. Test Your Understanding -- References -- Index |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
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| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047442607</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211203</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210827s2020 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000283068</subfield><subfield code="9">978-1-00-028306-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC6452193</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PAD)EBC6452193</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-89-EBL)EBL6452193</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1231610452</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047442607</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1050</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004.678</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Misra, Sudip</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to Industrial Internet of Things and Industry 4. 0</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Milton</subfield><subfield code="b">Taylor & Francis Group</subfield><subfield code="c">2020</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (398 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Author Biographies -- Preface -- 1. Overview of Internet of Things -- 1.1. Learning Outcomes -- 1.2. Introduction -- 1.3. IoT Architecture -- 1.4. Application-based IoT Protocols -- 1.4.1. Infrastructure-based protocols -- 1.4.2. Data protocols -- 1.4.3. Transport protocols -- 1.5. Cloud Computing -- 1.5.1. Types of cloud -- 1.5.2. Business aspects of cloud -- 1.5.3. Virtualization: Key aspect of cloud computing -- 1.5.4. Mobile cloud computing -- 1.6. Fog Computing -- 1.6.1. Applications of Fog computing -- 1.7. Sensor Cloud -- 1.7.1. Applications of Sensor Cloud -- 1.8. Big Data -- 2. Overview of Industry 4.0 and Industrial Internet of Things -- 2.1. Introduction -- 2.2. Industry 4.0 -- 2.2.1. Industrial revolution: Phases of development -- 2.2.2. Evolution of Industry 4.0 -- 2.2.3. Environmental impacts of industrial revolution -- 2.2.4. Industrial Internet -- 2.2.5. Applications of Industry 4.0 -- 2.3. IIoT -- 2.3.1. Prerequisites of IIoT -- 2.3.2. Basics of CPS -- 2.3.3. CPS and IIoT -- 2.3.4. Applications of IIoT -- 3. Industry 4.0: Basics -- 3.1 Introduction -- 3.1.1. Historical context -- 3.1.2. Significant changes in the industry -- 3.2. Design requirements of Industry 4.0 -- 3.3. Drivers of Industry 4.0 -- 3.3.1. Megatrends -- 3.3.2. Tipping points -- 3.4. Sustainability Assessment of industries -- 3.4.1. Globalization effects -- 3.4.2. Socio-economic effects -- 3.5. Smart Business Perspective -- 3.5.1. Characteristics of smart business model -- 3.6. Cybersecurity -- 3.6.1. Various cybersecurity threats -- 3.6.2. Requirements of cybersecurity -- 3.7. Impacts of Industry 4.0 -- 3.7.1. Economy perspective -- 3.7.2. Business perspective -- 3.7.3. Global perspective -- 4. Industrial Internet of Things: Basics -- 4.1. Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.1.1. IIoT and Industry 4.0 -- 4.1.2. IIC -- 4.2. Industrial Internet Systems -- 4.2.1. Design of industrial internet systems -- 4.2.2. Impact of industrial internet -- 4.2.3. Benefits of industrial internet -- 4.3. Industrial sensing -- 4.3.1. Traditional sensing -- 4.3.2. Contemporary sensing -- 4.4. Industrial Processes -- 4.4.1. Features of IIoT for industrial processes -- 4.4.2. Industrial plant-The future architecture -- 4.4.3. Viewpoint of industrial processes -- 4.4.4. Digital Enterprise -- 4.4.5. Applications of Industry 4.0 -- 5. Business Models and Reference Architecture of IIoT -- 5.1. Introduction -- 5.1.1. Business models -- 5.2. Definition of a business model -- 5.2.1. Reference architecture -- 5.3. Business Models of IoT -- 5.4. Business models of IIoT -- 5.4.1. Business opportunities in IIoT -- 5.4.2. Categorization of business models in IIoT -- 5.5. Reference architecture of IoT -- 5.6. Reference Architecture of IIoT -- 5.6.1. Categorization of reference architecture in IIoT -- 5.7. IIRA -- 5.7.1. IIRA framework: Basics -- 5.7.2. Categorization of IIRA frameworks -- 5.8. Key Performance Indicators for Occupational Safety and Health -- 6. Key Technologies: Off-site Technologies -- 6.1. Introduction -- 6.2. Cloud Computing -- 6.2.1. Necessity of cloud computing -- 6.2.2. Cloud computing and IIoT -- 6.2.3. Industrial cloud platform providers -- 6.2.4. SLA for IIoT -- 6.2.5. Requirements of Industry 4.0 and its solution -- 6.3. Fog Computing -- 6.3.1. Fog computing for IIoT -- 6.3.2. Applications of fog and their solutions -- 7. Key Technologies: On-site Technologies -- 7.1. Introduction -- 7.1.1. Need for Industry 4.0 -- 7.1.2. Transformations required -- 7.2. Augmented Reality -- 7.2.1. History of AR -- 7.2.2. Categorization of AR -- 7.2.3. Applications of AR -- 7.3. Virtual Reality -- 7.3.1. History of VR.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7.3.2. Categorization of VR -- 7.3.3. Applications of VR -- 7.4. Big Data and Advanced Analytics -- 7.4.1. Characteristics of big data -- 7.4.2. Big data sources -- 7.4.3. Big data acquisition and storage -- 7.4.4. Necessity of data analytics -- 7.4.5. Types of analytics -- 7.5. Smart factories -- 7.5.1. Characteristics of smart factory -- 7.5.2. Technologies used in smart factories -- 7.6. Lean manufacturing system -- 7.6.1. Value streams in lean production system -- 7.6.2. Necessity of lean production system -- 7.6.3. Implementation of lean manufacturing system -- 8. Sensors -- 8.1. Introduction to Sensors -- 8.2. Characteristics -- 8.2.1. Sensor calibration -- 8.2.2. Sensor profile -- 8.2.3. Sensor accuracy -- 8.2.4. Sensor resolution -- 8.2.5. Sensor rating -- 8.2.6. Operating voltage -- 8.2.7. Output -- 8.3. Sensor Categories -- 8.3.1. Thermal sensors -- 8.3.2. Mechanical sensors -- 8.3.3. Electrical sensors -- 8.3.4. Chemical sensors -- 8.3.5. Optical sensors -- 8.3.6. Acoustic sensors -- 9. Actuators -- 9.1. Introduction -- 9.2. Thermal Actuators -- 9.2.1. Takeaways -- 9.3. Hydraulic Actuators -- 9.3.1. Takeaways -- 9.4. Pneumatic Actuators -- 9.4.1. Takeaways -- 9.5. Electromechanical Actuators -- 9.5.1. Takeaways -- 10. Industrial Data Transmission -- 10.1. Introduction -- 10.2. Foundation Fieldbus -- 10.2.1. Features -- 10.2.2. Components -- 10.3. Profibus -- 10.3.1. Features -- 10.3.2. Components -- 10.4. HART -- 10.4.1. Features -- 10.4.2. Components -- 10.5. Interbus -- 10.5.1. Features -- 10.5.2. Components -- 10.6. Bitbus -- 10.6.1. Features -- 10.6.2. Components -- 10.7. CC-Link -- 10.7.1. Features -- 10.7.2. Components -- 10.8. Modbus -- 10.8.1. Features -- 10.8.2. Components -- 10.9. Batibus -- 10.9.1. Features -- 10.9.2. Components -- 10.10. DigitalSTROM -- 10.10.1. Features -- 10.10.2. Components -- 10.11. Controller Area Network</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">10.11.1. Features -- 10.11.2. Components -- 10.12. DeviceNet -- 10.12.1. Features -- 10.12.2. Components -- 10.13. LonWorks -- 10.13.1. Features -- 10.13.2. Components -- 10.14. ISA 100.11a -- 10.14.1. Features -- 10.14.2. Components -- 10.15. Wireless HART -- 10.15.1. Features -- 10.15.2. Components -- 10.16. LoRa and LoRaWAN -- 10.16.1. Features -- 10.16.2. Components -- 10.17. Recent and Upcoming Technologies -- 10.17.1. NB-IoT -- 10.17.2. IEEE 802.11AH -- 11. Industrial Data Acquisition -- 11.1. Introduction -- 11.2. Distributed Control System -- 11.2.1. Components -- 11.3. PLC -- 11.3.1. Components -- 11.4. SCADA -- 11.4.1. Components -- 12. Introduction to IIoT Analytics -- 12.1. Introduction -- 12.1.1. Necessity of analytics -- 12.2 IIoT Analytics -- 12.2.1. Categorization of analytics: IIoT and Industry 4.0 context -- 12.2.2. Usefulness of IIoT analytics -- 12.2.3. Challenges of analytics in industries -- 12.2.4. Mapping of analytics with the IIRA architecture -- 12.2.5. Deployment of analytics -- 12.2.6. Artificial intelligence -- 12.2.7. Applications of analytics across value chain -- 13. Machine Learning and Data Science in Industries -- 13.1. Introduction -- 13.2. Machine Learning -- 13.3. Categorization of ML -- 13.4. Applications of ML in Industries -- 13.5. Data Science in Industries -- 13.6. Deep Learning -- 13.7. Application of Deep Learning in Industries -- 14. Healthcare Applications in Industries -- 14.1. Introduction -- 14.1.1. Major challenges associated with healthcare -- 14.1.2. Coping with increase in diseases -- 14.2. Applications of Healthcare in Industries -- 14.2.1. Smart devices -- 14.2.2. Advanced technologies used in healthcare -- 14.2.3. Open research issues to be addressed -- 15. Inventory Management and Quality Control -- 15.1. Introduction -- 15.2. Inventory Management -- 15.2.1. Inventory</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">15.2.2. Types of inventory management -- 15.3. Inventory Management and IIoT -- 15.3.1. Benefits of IIoT applications in inventory management -- 15.4. Quality Control -- 16. Plant Safety and Security -- 16.1. Introduction -- 16.2. Plant Safety -- 16.2.1. IIoT applications for undertaking safety measures in plant -- 16.3. Plant Security -- 16.3.1. Software security -- 16.3.2. Network security -- 16.3.3. Mobile device security -- 17. Case Studies -- 17.1. Introduction -- 17.2. Manufacturing Industry -- 17.2.1. Background of the industry -- 17.2.2. Challenges -- 17.2.3. Industrial IoT as a solution -- 17.2.4. Benefits -- 17.3. Automotive Industry -- 17.3.1. Background of the industry -- 17.3.2. Challenges -- 17.3.3. Industrial IoT as a solution -- 17.3.4. Benefits -- 17.4. Mining Industry -- 17.4.1. Background of the industry -- 17.4.2. Challenges -- 17.4.3. Industrial IoT as a solution -- 17.4.4. Benefits -- 18. 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| id | DE-604.BV047442607 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T18:01:24Z |
| indexdate | 2024-12-13T13:01:40Z |
| institution | BVB |
| isbn | 9781000283068 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032844759 |
| oclc_num | 1231610452 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (398 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Taylor & Francis Group |
| record_format | marc |
| spelling | Misra, Sudip Verfasser aut Introduction to Industrial Internet of Things and Industry 4. 0 Milton Taylor & Francis Group 2020 ©2021 1 Online-Ressource (398 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Author Biographies -- Preface -- 1. Overview of Internet of Things -- 1.1. Learning Outcomes -- 1.2. Introduction -- 1.3. IoT Architecture -- 1.4. Application-based IoT Protocols -- 1.4.1. Infrastructure-based protocols -- 1.4.2. Data protocols -- 1.4.3. Transport protocols -- 1.5. Cloud Computing -- 1.5.1. Types of cloud -- 1.5.2. Business aspects of cloud -- 1.5.3. Virtualization: Key aspect of cloud computing -- 1.5.4. Mobile cloud computing -- 1.6. Fog Computing -- 1.6.1. Applications of Fog computing -- 1.7. Sensor Cloud -- 1.7.1. Applications of Sensor Cloud -- 1.8. Big Data -- 2. Overview of Industry 4.0 and Industrial Internet of Things -- 2.1. Introduction -- 2.2. Industry 4.0 -- 2.2.1. Industrial revolution: Phases of development -- 2.2.2. Evolution of Industry 4.0 -- 2.2.3. Environmental impacts of industrial revolution -- 2.2.4. Industrial Internet -- 2.2.5. Applications of Industry 4.0 -- 2.3. IIoT -- 2.3.1. Prerequisites of IIoT -- 2.3.2. Basics of CPS -- 2.3.3. CPS and IIoT -- 2.3.4. Applications of IIoT -- 3. Industry 4.0: Basics -- 3.1 Introduction -- 3.1.1. Historical context -- 3.1.2. Significant changes in the industry -- 3.2. Design requirements of Industry 4.0 -- 3.3. Drivers of Industry 4.0 -- 3.3.1. Megatrends -- 3.3.2. Tipping points -- 3.4. Sustainability Assessment of industries -- 3.4.1. Globalization effects -- 3.4.2. Socio-economic effects -- 3.5. Smart Business Perspective -- 3.5.1. Characteristics of smart business model -- 3.6. Cybersecurity -- 3.6.1. Various cybersecurity threats -- 3.6.2. Requirements of cybersecurity -- 3.7. Impacts of Industry 4.0 -- 3.7.1. Economy perspective -- 3.7.2. Business perspective -- 3.7.3. Global perspective -- 4. Industrial Internet of Things: Basics -- 4.1. Introduction 4.1.1. IIoT and Industry 4.0 -- 4.1.2. IIC -- 4.2. Industrial Internet Systems -- 4.2.1. Design of industrial internet systems -- 4.2.2. Impact of industrial internet -- 4.2.3. Benefits of industrial internet -- 4.3. Industrial sensing -- 4.3.1. Traditional sensing -- 4.3.2. Contemporary sensing -- 4.4. Industrial Processes -- 4.4.1. Features of IIoT for industrial processes -- 4.4.2. Industrial plant-The future architecture -- 4.4.3. Viewpoint of industrial processes -- 4.4.4. Digital Enterprise -- 4.4.5. Applications of Industry 4.0 -- 5. Business Models and Reference Architecture of IIoT -- 5.1. Introduction -- 5.1.1. Business models -- 5.2. Definition of a business model -- 5.2.1. Reference architecture -- 5.3. Business Models of IoT -- 5.4. Business models of IIoT -- 5.4.1. Business opportunities in IIoT -- 5.4.2. Categorization of business models in IIoT -- 5.5. Reference architecture of IoT -- 5.6. Reference Architecture of IIoT -- 5.6.1. Categorization of reference architecture in IIoT -- 5.7. IIRA -- 5.7.1. IIRA framework: Basics -- 5.7.2. Categorization of IIRA frameworks -- 5.8. Key Performance Indicators for Occupational Safety and Health -- 6. Key Technologies: Off-site Technologies -- 6.1. Introduction -- 6.2. Cloud Computing -- 6.2.1. Necessity of cloud computing -- 6.2.2. Cloud computing and IIoT -- 6.2.3. Industrial cloud platform providers -- 6.2.4. SLA for IIoT -- 6.2.5. Requirements of Industry 4.0 and its solution -- 6.3. Fog Computing -- 6.3.1. Fog computing for IIoT -- 6.3.2. Applications of fog and their solutions -- 7. Key Technologies: On-site Technologies -- 7.1. Introduction -- 7.1.1. Need for Industry 4.0 -- 7.1.2. Transformations required -- 7.2. Augmented Reality -- 7.2.1. History of AR -- 7.2.2. Categorization of AR -- 7.2.3. Applications of AR -- 7.3. Virtual Reality -- 7.3.1. History of VR. 7.3.2. Categorization of VR -- 7.3.3. Applications of VR -- 7.4. Big Data and Advanced Analytics -- 7.4.1. Characteristics of big data -- 7.4.2. Big data sources -- 7.4.3. Big data acquisition and storage -- 7.4.4. Necessity of data analytics -- 7.4.5. Types of analytics -- 7.5. Smart factories -- 7.5.1. Characteristics of smart factory -- 7.5.2. Technologies used in smart factories -- 7.6. Lean manufacturing system -- 7.6.1. Value streams in lean production system -- 7.6.2. Necessity of lean production system -- 7.6.3. Implementation of lean manufacturing system -- 8. Sensors -- 8.1. Introduction to Sensors -- 8.2. Characteristics -- 8.2.1. Sensor calibration -- 8.2.2. Sensor profile -- 8.2.3. Sensor accuracy -- 8.2.4. Sensor resolution -- 8.2.5. Sensor rating -- 8.2.6. Operating voltage -- 8.2.7. Output -- 8.3. Sensor Categories -- 8.3.1. Thermal sensors -- 8.3.2. Mechanical sensors -- 8.3.3. Electrical sensors -- 8.3.4. Chemical sensors -- 8.3.5. Optical sensors -- 8.3.6. Acoustic sensors -- 9. Actuators -- 9.1. Introduction -- 9.2. Thermal Actuators -- 9.2.1. Takeaways -- 9.3. Hydraulic Actuators -- 9.3.1. Takeaways -- 9.4. Pneumatic Actuators -- 9.4.1. Takeaways -- 9.5. Electromechanical Actuators -- 9.5.1. Takeaways -- 10. Industrial Data Transmission -- 10.1. Introduction -- 10.2. Foundation Fieldbus -- 10.2.1. Features -- 10.2.2. Components -- 10.3. Profibus -- 10.3.1. Features -- 10.3.2. Components -- 10.4. HART -- 10.4.1. Features -- 10.4.2. Components -- 10.5. Interbus -- 10.5.1. Features -- 10.5.2. Components -- 10.6. Bitbus -- 10.6.1. Features -- 10.6.2. Components -- 10.7. CC-Link -- 10.7.1. Features -- 10.7.2. Components -- 10.8. Modbus -- 10.8.1. Features -- 10.8.2. Components -- 10.9. Batibus -- 10.9.1. Features -- 10.9.2. Components -- 10.10. DigitalSTROM -- 10.10.1. Features -- 10.10.2. Components -- 10.11. Controller Area Network 10.11.1. Features -- 10.11.2. Components -- 10.12. DeviceNet -- 10.12.1. Features -- 10.12.2. Components -- 10.13. LonWorks -- 10.13.1. Features -- 10.13.2. Components -- 10.14. ISA 100.11a -- 10.14.1. Features -- 10.14.2. Components -- 10.15. Wireless HART -- 10.15.1. Features -- 10.15.2. Components -- 10.16. LoRa and LoRaWAN -- 10.16.1. Features -- 10.16.2. Components -- 10.17. Recent and Upcoming Technologies -- 10.17.1. NB-IoT -- 10.17.2. IEEE 802.11AH -- 11. Industrial Data Acquisition -- 11.1. Introduction -- 11.2. Distributed Control System -- 11.2.1. Components -- 11.3. PLC -- 11.3.1. Components -- 11.4. SCADA -- 11.4.1. Components -- 12. Introduction to IIoT Analytics -- 12.1. Introduction -- 12.1.1. Necessity of analytics -- 12.2 IIoT Analytics -- 12.2.1. Categorization of analytics: IIoT and Industry 4.0 context -- 12.2.2. Usefulness of IIoT analytics -- 12.2.3. Challenges of analytics in industries -- 12.2.4. Mapping of analytics with the IIRA architecture -- 12.2.5. Deployment of analytics -- 12.2.6. Artificial intelligence -- 12.2.7. Applications of analytics across value chain -- 13. Machine Learning and Data Science in Industries -- 13.1. Introduction -- 13.2. Machine Learning -- 13.3. Categorization of ML -- 13.4. Applications of ML in Industries -- 13.5. Data Science in Industries -- 13.6. Deep Learning -- 13.7. Application of Deep Learning in Industries -- 14. Healthcare Applications in Industries -- 14.1. Introduction -- 14.1.1. Major challenges associated with healthcare -- 14.1.2. Coping with increase in diseases -- 14.2. Applications of Healthcare in Industries -- 14.2.1. Smart devices -- 14.2.2. Advanced technologies used in healthcare -- 14.2.3. Open research issues to be addressed -- 15. Inventory Management and Quality Control -- 15.1. Introduction -- 15.2. Inventory Management -- 15.2.1. Inventory 15.2.2. Types of inventory management -- 15.3. Inventory Management and IIoT -- 15.3.1. Benefits of IIoT applications in inventory management -- 15.4. Quality Control -- 16. Plant Safety and Security -- 16.1. Introduction -- 16.2. Plant Safety -- 16.2.1. IIoT applications for undertaking safety measures in plant -- 16.3. Plant Security -- 16.3.1. Software security -- 16.3.2. Network security -- 16.3.3. Mobile device security -- 17. Case Studies -- 17.1. Introduction -- 17.2. Manufacturing Industry -- 17.2.1. Background of the industry -- 17.2.2. Challenges -- 17.2.3. Industrial IoT as a solution -- 17.2.4. Benefits -- 17.3. Automotive Industry -- 17.3.1. Background of the industry -- 17.3.2. Challenges -- 17.3.3. Industrial IoT as a solution -- 17.3.4. Benefits -- 17.4. Mining Industry -- 17.4.1. Background of the industry -- 17.4.2. Challenges -- 17.4.3. Industrial IoT as a solution -- 17.4.4. Benefits -- 18. Test Your Understanding -- References -- Index Industrie 4.0 (DE-588)1072179776 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 gnd rswk-swf Internet der Dinge (DE-588)7713781-4 s Industrie 4.0 (DE-588)1072179776 s DE-604 Roy, Chandana Sonstige oth Mukherjee, Anandarup Sonstige oth Erscheint auch als Druck-Ausgabe Misra, Sudip Introduction to Industrial Internet of Things and Industry 4. 0 Milton : Taylor & Francis Group,c2020 9780367644710 |
| spellingShingle | Misra, Sudip Introduction to Industrial Internet of Things and Industry 4. 0 Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Author Biographies -- Preface -- 1. Overview of Internet of Things -- 1.1. Learning Outcomes -- 1.2. Introduction -- 1.3. IoT Architecture -- 1.4. Application-based IoT Protocols -- 1.4.1. Infrastructure-based protocols -- 1.4.2. Data protocols -- 1.4.3. Transport protocols -- 1.5. Cloud Computing -- 1.5.1. Types of cloud -- 1.5.2. Business aspects of cloud -- 1.5.3. Virtualization: Key aspect of cloud computing -- 1.5.4. Mobile cloud computing -- 1.6. Fog Computing -- 1.6.1. Applications of Fog computing -- 1.7. Sensor Cloud -- 1.7.1. Applications of Sensor Cloud -- 1.8. Big Data -- 2. Overview of Industry 4.0 and Industrial Internet of Things -- 2.1. Introduction -- 2.2. Industry 4.0 -- 2.2.1. Industrial revolution: Phases of development -- 2.2.2. Evolution of Industry 4.0 -- 2.2.3. Environmental impacts of industrial revolution -- 2.2.4. Industrial Internet -- 2.2.5. Applications of Industry 4.0 -- 2.3. IIoT -- 2.3.1. Prerequisites of IIoT -- 2.3.2. Basics of CPS -- 2.3.3. CPS and IIoT -- 2.3.4. Applications of IIoT -- 3. Industry 4.0: Basics -- 3.1 Introduction -- 3.1.1. Historical context -- 3.1.2. Significant changes in the industry -- 3.2. Design requirements of Industry 4.0 -- 3.3. Drivers of Industry 4.0 -- 3.3.1. Megatrends -- 3.3.2. Tipping points -- 3.4. Sustainability Assessment of industries -- 3.4.1. Globalization effects -- 3.4.2. Socio-economic effects -- 3.5. Smart Business Perspective -- 3.5.1. Characteristics of smart business model -- 3.6. Cybersecurity -- 3.6.1. Various cybersecurity threats -- 3.6.2. Requirements of cybersecurity -- 3.7. Impacts of Industry 4.0 -- 3.7.1. Economy perspective -- 3.7.2. Business perspective -- 3.7.3. Global perspective -- 4. Industrial Internet of Things: Basics -- 4.1. Introduction 4.1.1. IIoT and Industry 4.0 -- 4.1.2. IIC -- 4.2. Industrial Internet Systems -- 4.2.1. Design of industrial internet systems -- 4.2.2. Impact of industrial internet -- 4.2.3. Benefits of industrial internet -- 4.3. Industrial sensing -- 4.3.1. Traditional sensing -- 4.3.2. Contemporary sensing -- 4.4. Industrial Processes -- 4.4.1. Features of IIoT for industrial processes -- 4.4.2. Industrial plant-The future architecture -- 4.4.3. Viewpoint of industrial processes -- 4.4.4. Digital Enterprise -- 4.4.5. Applications of Industry 4.0 -- 5. Business Models and Reference Architecture of IIoT -- 5.1. Introduction -- 5.1.1. Business models -- 5.2. Definition of a business model -- 5.2.1. Reference architecture -- 5.3. Business Models of IoT -- 5.4. Business models of IIoT -- 5.4.1. Business opportunities in IIoT -- 5.4.2. Categorization of business models in IIoT -- 5.5. Reference architecture of IoT -- 5.6. Reference Architecture of IIoT -- 5.6.1. Categorization of reference architecture in IIoT -- 5.7. IIRA -- 5.7.1. IIRA framework: Basics -- 5.7.2. Categorization of IIRA frameworks -- 5.8. Key Performance Indicators for Occupational Safety and Health -- 6. Key Technologies: Off-site Technologies -- 6.1. Introduction -- 6.2. Cloud Computing -- 6.2.1. Necessity of cloud computing -- 6.2.2. Cloud computing and IIoT -- 6.2.3. Industrial cloud platform providers -- 6.2.4. SLA for IIoT -- 6.2.5. Requirements of Industry 4.0 and its solution -- 6.3. Fog Computing -- 6.3.1. Fog computing for IIoT -- 6.3.2. Applications of fog and their solutions -- 7. Key Technologies: On-site Technologies -- 7.1. Introduction -- 7.1.1. Need for Industry 4.0 -- 7.1.2. Transformations required -- 7.2. Augmented Reality -- 7.2.1. History of AR -- 7.2.2. Categorization of AR -- 7.2.3. Applications of AR -- 7.3. Virtual Reality -- 7.3.1. History of VR. 7.3.2. Categorization of VR -- 7.3.3. Applications of VR -- 7.4. Big Data and Advanced Analytics -- 7.4.1. Characteristics of big data -- 7.4.2. Big data sources -- 7.4.3. Big data acquisition and storage -- 7.4.4. Necessity of data analytics -- 7.4.5. Types of analytics -- 7.5. Smart factories -- 7.5.1. Characteristics of smart factory -- 7.5.2. Technologies used in smart factories -- 7.6. Lean manufacturing system -- 7.6.1. Value streams in lean production system -- 7.6.2. Necessity of lean production system -- 7.6.3. Implementation of lean manufacturing system -- 8. Sensors -- 8.1. Introduction to Sensors -- 8.2. Characteristics -- 8.2.1. Sensor calibration -- 8.2.2. Sensor profile -- 8.2.3. Sensor accuracy -- 8.2.4. Sensor resolution -- 8.2.5. Sensor rating -- 8.2.6. Operating voltage -- 8.2.7. Output -- 8.3. Sensor Categories -- 8.3.1. Thermal sensors -- 8.3.2. Mechanical sensors -- 8.3.3. Electrical sensors -- 8.3.4. Chemical sensors -- 8.3.5. Optical sensors -- 8.3.6. Acoustic sensors -- 9. Actuators -- 9.1. Introduction -- 9.2. Thermal Actuators -- 9.2.1. Takeaways -- 9.3. Hydraulic Actuators -- 9.3.1. Takeaways -- 9.4. Pneumatic Actuators -- 9.4.1. Takeaways -- 9.5. Electromechanical Actuators -- 9.5.1. Takeaways -- 10. Industrial Data Transmission -- 10.1. Introduction -- 10.2. Foundation Fieldbus -- 10.2.1. Features -- 10.2.2. Components -- 10.3. Profibus -- 10.3.1. Features -- 10.3.2. Components -- 10.4. HART -- 10.4.1. Features -- 10.4.2. Components -- 10.5. Interbus -- 10.5.1. Features -- 10.5.2. Components -- 10.6. Bitbus -- 10.6.1. Features -- 10.6.2. Components -- 10.7. CC-Link -- 10.7.1. Features -- 10.7.2. Components -- 10.8. Modbus -- 10.8.1. Features -- 10.8.2. Components -- 10.9. Batibus -- 10.9.1. Features -- 10.9.2. Components -- 10.10. DigitalSTROM -- 10.10.1. Features -- 10.10.2. Components -- 10.11. Controller Area Network 10.11.1. Features -- 10.11.2. Components -- 10.12. DeviceNet -- 10.12.1. Features -- 10.12.2. Components -- 10.13. LonWorks -- 10.13.1. Features -- 10.13.2. Components -- 10.14. ISA 100.11a -- 10.14.1. Features -- 10.14.2. Components -- 10.15. Wireless HART -- 10.15.1. Features -- 10.15.2. Components -- 10.16. LoRa and LoRaWAN -- 10.16.1. Features -- 10.16.2. Components -- 10.17. Recent and Upcoming Technologies -- 10.17.1. NB-IoT -- 10.17.2. IEEE 802.11AH -- 11. Industrial Data Acquisition -- 11.1. Introduction -- 11.2. Distributed Control System -- 11.2.1. Components -- 11.3. PLC -- 11.3.1. Components -- 11.4. SCADA -- 11.4.1. Components -- 12. Introduction to IIoT Analytics -- 12.1. Introduction -- 12.1.1. Necessity of analytics -- 12.2 IIoT Analytics -- 12.2.1. Categorization of analytics: IIoT and Industry 4.0 context -- 12.2.2. Usefulness of IIoT analytics -- 12.2.3. Challenges of analytics in industries -- 12.2.4. Mapping of analytics with the IIRA architecture -- 12.2.5. Deployment of analytics -- 12.2.6. Artificial intelligence -- 12.2.7. Applications of analytics across value chain -- 13. Machine Learning and Data Science in Industries -- 13.1. Introduction -- 13.2. Machine Learning -- 13.3. Categorization of ML -- 13.4. Applications of ML in Industries -- 13.5. Data Science in Industries -- 13.6. Deep Learning -- 13.7. Application of Deep Learning in Industries -- 14. Healthcare Applications in Industries -- 14.1. Introduction -- 14.1.1. Major challenges associated with healthcare -- 14.1.2. Coping with increase in diseases -- 14.2. Applications of Healthcare in Industries -- 14.2.1. Smart devices -- 14.2.2. Advanced technologies used in healthcare -- 14.2.3. Open research issues to be addressed -- 15. Inventory Management and Quality Control -- 15.1. Introduction -- 15.2. Inventory Management -- 15.2.1. Inventory 15.2.2. Types of inventory management -- 15.3. Inventory Management and IIoT -- 15.3.1. Benefits of IIoT applications in inventory management -- 15.4. Quality Control -- 16. Plant Safety and Security -- 16.1. Introduction -- 16.2. Plant Safety -- 16.2.1. IIoT applications for undertaking safety measures in plant -- 16.3. Plant Security -- 16.3.1. Software security -- 16.3.2. Network security -- 16.3.3. Mobile device security -- 17. Case Studies -- 17.1. Introduction -- 17.2. Manufacturing Industry -- 17.2.1. Background of the industry -- 17.2.2. Challenges -- 17.2.3. Industrial IoT as a solution -- 17.2.4. Benefits -- 17.3. Automotive Industry -- 17.3.1. Background of the industry -- 17.3.2. Challenges -- 17.3.3. Industrial IoT as a solution -- 17.3.4. Benefits -- 17.4. Mining Industry -- 17.4.1. Background of the industry -- 17.4.2. Challenges -- 17.4.3. Industrial IoT as a solution -- 17.4.4. Benefits -- 18. Test Your Understanding -- References -- Index Industrie 4.0 (DE-588)1072179776 gnd Internet der Dinge (DE-588)7713781-4 gnd |
| subject_GND | (DE-588)1072179776 (DE-588)7713781-4 |
| title | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_auth | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_exact_search | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_exact_search_txtP | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_full | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_fullStr | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_full_unstemmed | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_short | Introduction to Industrial Internet of Things and Industry 4. 0 |
| title_sort | introduction to industrial internet of things and industry 4 0 |
| topic | Industrie 4.0 (DE-588)1072179776 gnd Internet der Dinge (DE-588)7713781-4 gnd |
| topic_facet | Industrie 4.0 Internet der Dinge |
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