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

Bibliographic Details
Main Author: Witczak, Marcin.
Other Authors: Seybold, Lothar., Bulach, Eric., Maucher, Niko.
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Edition:1st ed.
Series:Studies in Systems, Decision and Control Series
Subjects:
Electronic books.
Online Access:Click to View
Table of 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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