Modern IoT Onboarding Platforms for Advanced Applications : A Practitioner's Guide to KIS. ME.

By: Witczak, MarcinContributor(s): Seybold, Lothar | Bulach, Eric | Maucher, NikoMaterial type: TextTextSeries: Studies in Systems, Decision and Control SeriesPublisher: Cham : Springer, 2023Copyright date: �2023Edition: 1st edDescription: 1 online resource (289 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783031336232Genre/Form: Electronic books.Additional physical formats: Print version:: Modern IoT Onboarding Platforms for Advanced ApplicationsLOC classification: Q342Online resources: Click to View
Contents:
Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 IoT Overview -- 1.1.1 Logistics and Transportation -- 1.1.2 Industrial Applications -- 1.1.3 Agriculture and Environmental Applications -- 1.1.4 Hospitality and Leisure Industry Applications -- 1.1.5 Healthcare -- 1.2 Where Does KIS.ME Go? -- 1.3 Contents of the Book -- References -- 2 Onboarding and Preliminary Functionality Training -- 2.1 Preliminaries, Registration and Onboarding -- 2.2 Hierarchical Structure: From Assets and Users to Workspaces -- 2.3 Rights and Permissions -- 2.3.1 User Management -- 2.3.2 User Groups and Workspace Management -- 2.4 Asset Management -- 2.5 Dashboards and Widgets -- 2.6 Digital Twin Design -- 2.7 Datapoints: Plotting and Storing Data -- 2.8 Let Us Go to Workspaces: An Introductory Example with the Floorplan Widget -- 2.9 Let Us Rule: Managing Rules Within a Workspace -- 2.10 State-Space Modelling -- 2.11 Mastering Rule Management: Completeness and Consistency -- 2.11.1 Transforming Conditions -- 2.11.2 Decision Tables -- 2.12 Case Study: Trend Plotting and Performance Analysis -- 2.13 Training Exercises -- 2.14 Concluding Remarks -- References -- 3 Towards Logistic Applications -- 3.1 Access Control -- 3.1.1 Managing a Small Warehouse -- 3.2 Two Points-One Transporter -- 3.3 Multiple Points-One Transporter -- 3.4 Multiple Points-Multiple Transporters -- 3.5 Visualizing the Performance of Logistic Applications -- 3.6 Training Exercises -- 3.7 Concluding Remarks -- References -- 4 Implementing and Using Essential Statistical Process Control -- 4.1 Data Processing Definitions -- 4.1.1 Calculated Datapoints -- 4.1.2 Key Performance Indicators -- 4.2 Statistical Measures: Location and Variability -- 4.3 Understanding process performance with widgets … -- 4.3.1 Single Value Column Chart -- 4.3.2 Single Period and Pie Charts -- 4.3.3 Aggregated Chart.
4.4 Control Charts: Comparison and Analysis -- 4.4.1 Histograms -- 4.4.2 Control Charts with Limits -- 4.5 Practical Example Revisited -- 4.6 Training Exercises -- 4.7 Concluding Remarks -- References -- 5 Mastering System Monitoring and Control -- 5.1 Defining the Performance Cost Function and Its Control -- 5.2 Monitoring the Product Rejection Rate -- 5.3 Demerit System Control -- 5.4 Overall Equipment Effectiveness -- 5.5 Training Exercises -- 5.6 Concluding Remarks -- References -- 6 Towards Advanced Applications -- 6.1 Modelling Users and Their Interactions -- 6.1.1 Assembly Process -- 6.2 Transportation Process -- 6.3 Integrating Workers Within a Semi-automatic Assembly System -- 6.4 Scheduling Transportation Actions -- 6.4.1 Health-aware and Fault-Tolerant Transportation Scheduling -- 6.5 Training Exercise: Work Scheduling -- 6.6 Concluding Remarks -- References -- 7 KIS.API: Towards External Communication -- 7.1 Introduction to KIS.API -- 7.1.1 User Registration and Authorization -- 7.2 Essential Functionalities -- 7.2.1 Obtaining Information About Asset Groups, Assets and Users -- 7.2.2 Accessing Data Through Datapoints -- 7.2.3 KPIs and Calculated Datapoints -- 7.2.4 Accessing Information About Rules -- 7.2.5 Triggering Rules from External Applications -- 7.3 KIS.API in Practice -- 7.3.1 Feeding MS Excel with KIS.ME Data -- 7.3.2 Feeding Matlab with KIS.ME Data -- 7.4 Triggering Rules from MATLAB -- 7.5 Websockets -- 7.5.1 Brief Introduction to Websockets -- 7.5.2 Obtaining a KIS.ME URI and Identifiers -- 7.5.3 Brief Introduction to STOMP -- 7.5.4 Sample Websocket Implementations -- 7.6 Training Exercises -- 7.7 Concluding Remarks -- References -- Appendix A KIS.ME Commands and Their Sample Applications -- A.1 Aggregations -- A.2 Intervals -- A.3 Numeric -- A.4 Miscellaneous -- Appendix B KIS.ME Datapoints and Their Sample Applications.
Appendix C Glossary -- Index.
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Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 IoT Overview -- 1.1.1 Logistics and Transportation -- 1.1.2 Industrial Applications -- 1.1.3 Agriculture and Environmental Applications -- 1.1.4 Hospitality and Leisure Industry Applications -- 1.1.5 Healthcare -- 1.2 Where Does KIS.ME Go? -- 1.3 Contents of the Book -- References -- 2 Onboarding and Preliminary Functionality Training -- 2.1 Preliminaries, Registration and Onboarding -- 2.2 Hierarchical Structure: From Assets and Users to Workspaces -- 2.3 Rights and Permissions -- 2.3.1 User Management -- 2.3.2 User Groups and Workspace Management -- 2.4 Asset Management -- 2.5 Dashboards and Widgets -- 2.6 Digital Twin Design -- 2.7 Datapoints: Plotting and Storing Data -- 2.8 Let Us Go to Workspaces: An Introductory Example with the Floorplan Widget -- 2.9 Let Us Rule: Managing Rules Within a Workspace -- 2.10 State-Space Modelling -- 2.11 Mastering Rule Management: Completeness and Consistency -- 2.11.1 Transforming Conditions -- 2.11.2 Decision Tables -- 2.12 Case Study: Trend Plotting and Performance Analysis -- 2.13 Training Exercises -- 2.14 Concluding Remarks -- References -- 3 Towards Logistic Applications -- 3.1 Access Control -- 3.1.1 Managing a Small Warehouse -- 3.2 Two Points-One Transporter -- 3.3 Multiple Points-One Transporter -- 3.4 Multiple Points-Multiple Transporters -- 3.5 Visualizing the Performance of Logistic Applications -- 3.6 Training Exercises -- 3.7 Concluding Remarks -- References -- 4 Implementing and Using Essential Statistical Process Control -- 4.1 Data Processing Definitions -- 4.1.1 Calculated Datapoints -- 4.1.2 Key Performance Indicators -- 4.2 Statistical Measures: Location and Variability -- 4.3 Understanding process performance with widgets … -- 4.3.1 Single Value Column Chart -- 4.3.2 Single Period and Pie Charts -- 4.3.3 Aggregated Chart.

4.4 Control Charts: Comparison and Analysis -- 4.4.1 Histograms -- 4.4.2 Control Charts with Limits -- 4.5 Practical Example Revisited -- 4.6 Training Exercises -- 4.7 Concluding Remarks -- References -- 5 Mastering System Monitoring and Control -- 5.1 Defining the Performance Cost Function and Its Control -- 5.2 Monitoring the Product Rejection Rate -- 5.3 Demerit System Control -- 5.4 Overall Equipment Effectiveness -- 5.5 Training Exercises -- 5.6 Concluding Remarks -- References -- 6 Towards Advanced Applications -- 6.1 Modelling Users and Their Interactions -- 6.1.1 Assembly Process -- 6.2 Transportation Process -- 6.3 Integrating Workers Within a Semi-automatic Assembly System -- 6.4 Scheduling Transportation Actions -- 6.4.1 Health-aware and Fault-Tolerant Transportation Scheduling -- 6.5 Training Exercise: Work Scheduling -- 6.6 Concluding Remarks -- References -- 7 KIS.API: Towards External Communication -- 7.1 Introduction to KIS.API -- 7.1.1 User Registration and Authorization -- 7.2 Essential Functionalities -- 7.2.1 Obtaining Information About Asset Groups, Assets and Users -- 7.2.2 Accessing Data Through Datapoints -- 7.2.3 KPIs and Calculated Datapoints -- 7.2.4 Accessing Information About Rules -- 7.2.5 Triggering Rules from External Applications -- 7.3 KIS.API in Practice -- 7.3.1 Feeding MS Excel with KIS.ME Data -- 7.3.2 Feeding Matlab with KIS.ME Data -- 7.4 Triggering Rules from MATLAB -- 7.5 Websockets -- 7.5.1 Brief Introduction to Websockets -- 7.5.2 Obtaining a KIS.ME URI and Identifiers -- 7.5.3 Brief Introduction to STOMP -- 7.5.4 Sample Websocket Implementations -- 7.6 Training Exercises -- 7.7 Concluding Remarks -- References -- Appendix A KIS.ME Commands and Their Sample Applications -- A.1 Aggregations -- A.2 Intervals -- A.3 Numeric -- A.4 Miscellaneous -- Appendix B KIS.ME Datapoints and Their Sample Applications.

Appendix C Glossary -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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