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This chapter introduces the technology Non-Intrusive Load Monitoring, a method for detecting individual devices from an overall signal. Non-Intrusive Load Monitoring is the research area and technology behind the third word in Smart Meter Inclusive. Using a smart meter as a basis and recognizing devices from the power profile is not a new idea but is now a common practice in Non-Intrusive Load Monitoring. However, the approach to creating such a measurement system that classifies appliances in real-time and visualizes the results directly on the same hardware has not been existing yet. Smart Meter Inclusive wants to leave the data where it originates, namely with the customer. This book chapter provides a general overview of non-intrusive load monitoring to be able to understand the basics and approaches for such a Smart Meter Inclusive.
Fluid delivery
(2022)
Grinding tool conditioning
(2022)
Workpiece surface roughness
(2022)
Mechanisms of tool wear
(2022)
Machinability of materials
(2022)
Abrasive tools
(2021)
Abrasives
(2021)
EIT Image Interpretation
(2021)
Digital transformation strengthens the interconnection of companies in order to develop optimized and better customized, cross-company business models. These models require secure, reliable, and trace- able evidence and monitoring of contractually agreed information to gain trust between stakeholders. Blockchain technology using smart contracts allows the industry to establish trust and automate cross- company business processes without the risk of losing data control. A typical cross-company industry use case is equipment maintenance. Machine manufacturers and service providers offer maintenance for their machines and tools in order to achieve high availability at low costs. The aim of this chapter is to demonstrate how maintenance use cases are attempted by utilizing hyperledger fabric for building a chain of trust by hardened evidence logging of the maintenance process to achieve legal certainty. Contracts are digitized into smart contracts automating business that increase the security and mitigate the error-proneness of the business processes.
Germany
(2020)
NeuroPricing für Events
(2020)
Time – Made in Germany
(2019)
Neuroscience and Retail
(2019)
Augmented Sensors
(2018)
Digital Sales Excellence: Systematic implementation of new technologies in sales force management
(2017)
Sensors
(2017)
Pricing
(2017)
Formatization Unleashed
(2015)
The Market Environment and Competitive Factors of Non-R&D-Performing and Non-R&D-Intensive Firms
(2015)
Introduction
(2015)
This chapter explains from scratch, how to build physical simulations using Physolator. The chapter starts with a simple physical system. We will learn how to build a physical model using physical variables and formulae, how to translate these variables and formulae into Java code, how to load the program code to Physolator, how to start the simulation and how to add a graphics component to the physical system.
Understanding Cloud Audits
(2012)