The Convolutional Approach for the Integration of Methods of Artificial Intelligence (AI) and Measurement Science (MS), Based on Bayesian Intelligent Technologies. The Concept of Bayesian Measurement Network. The Concept of IIIoT - Intelligent Industrial IoT

2021 ◽  
Author(s):  
Svetlana V. Prokopchina
Keyword(s):  
Artificial Intelligence ◽  
Measurement Science ◽  
Industrial Iot ◽  
Integration Of Methods

Making IoT Run

2020 ◽  
pp. 377-397
Author(s):  
Peter Schott ◽  
Torben Schaft ◽  
Stefan Thomas ◽  
Freimut Bodendorf
Keyword(s):  
Artificial Intelligence ◽  
Production Systems ◽  
Smart Manufacturing ◽  
Maturity Level ◽  
Smart Systems ◽  
Industrial Iot ◽  
Increasing Demand ◽  
Manufacturing Environments ◽  
Self Learning

This article describes how today's manufacturing environments are characterized by an increasing demand for individual products and constantly more product variants. Concomitant, developments in the fields of IT, robotics and artificial intelligence allow the realization of smart systems, which means networked, self-learning, self-regulating and versatile production systems to control this complexity. These developments are referred to as industrial IoT that is acknowledged as “next big thing” in production. Firms face the challenge of lacking guidelines for implementing IoT solutions. Neither the technological prerequisites nor generally applicable procedures for realizing an appropriate technological maturity level of the system-to-be exist. Addressing this deficit, a framework is introduced which systematically implements IoT within manufacturing. The framework presents a guideline for the establishment of structural system understanding, the determination of the target system's technological maturity level from a customer's perspective and, building on this, design implications for smart manufacturing.

scholarly journals An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5480 ◽  
Author(s):  
Panagiotis Trakadas ◽  
Pieter Simoens ◽  
Panagiotis Gkonis ◽  
Lambros Sarakis ◽  
Angelos Angelopoulos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Business Intelligence ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Shop Floor ◽  
Efficient Production ◽  
Human In The Loop ◽  
Industrial Iot ◽  
Potential Applications

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions. However, these results are currently only used in isolated and dispersed parts of the production process. At the same time, full integration of artificial intelligence (AI) in all parts of manufacturing systems is currently lacking. In this context, the goal of this manuscript is to present a more holistic integration of AI by promoting collaboration. To this end, collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption in manufacturing contexts and is promoted in terms of business intelligence optimization, human-in-the-loop and secure federation across manufacturing sites. To address these challenges, the proposed architectural approach builds on three technical pillars: (1) components that extend the functionality of the existing layers in the Reference Architectural Model for Industry 4.0; (2) definition of new layers for collaboration by means of human-in-the-loop and federation; (3) security concerns with AI-powered mechanisms. In addition, system implementation aspects are discussed and potential applications in industrial environments, as well as business impacts, are presented.

Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

2021 ◽  
Vol 17 (2) ◽  
pp. 1496-1504 ◽  
Author(s):  
Zhihan Lv ◽  
Yang Han ◽  
Amit Kumar Singh ◽  
Gunasekaran Manogaran ◽  
Haibin Lv
Keyword(s):  
Artificial Intelligence ◽  
Industrial Iot

scholarly journals Collaborative Augmented worker and Artificial Intelligence in Zero defect Manufacturing environment

2019 ◽  
Vol 304 ◽  
pp. 04003
Author(s):  
Michele Sesana ◽  
Abdulrahman Moussa
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
New Technologies ◽  
Manufacturing Environment ◽  
Industrial Iot ◽  
Product Defect

New technologies are bringing together shopfloor elements which were separated before. The human worker, the IOT system and the Artificial Intelligence can co-operate together in order to better prevent and solve any possible problem which can lead to a product defect. Collaboration is enabled by a platform connecting the worker via Augmented Reality with data from the industrial IOT and the suggestions from the Artificial Intelligence.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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