Sökning: "Industrial IoT"

Visar resultat 1 - 5 av 117 uppsatser innehållade orden Industrial IoT.

1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   Master-uppsats, Högskolan i Gävle/Elektronik

   Författare :Pradip Nath; [2024]
   Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

3. 2. Digitalization and Electrification´s Transformational Impact on the Automotive Mobility Industry - A multiple case study on the Swedish automotive mobility industry facing changing business models, challenges, and future opportunities

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Max Guron; [2023-07-19]
   Nyckelord :Digitalization; Electrification; Business model; Business model framework; Business model innovation; Technological Change; Industrial Change; Disruptive technology; Automotive Mobility; Automotive Industry; Mobility services; Car-sharing; Automotive manufacturers; Car-sharing providers; ride-hailing providers;

   Sammanfattning : The automotive mobility industry, including car manufactures, car-sharing, and ride-hailing companies, is experiencing technological change through electrification and digitalization. These two trends can potentially disrupt the whole industry through, i.e. LÄS MER

4. 3. Supply Chain Resilience: Industrial Manufactures’ Use of Disruptive Technologies

   Master-uppsats, Jönköping University

   Författare :Adam Manfredsson; Andreas Brauer; [2023]
   Nyckelord :Disruptive Technology; COVID-19; Just-in-Time Strategy; Supply Chain Management; Supply Chain Resilience; Industrial Manufacturer;

   Sammanfattning : With a purpose to provide insights on how to reduce the impact of future disruptive events on the supply chain and to raise awareness of the potential applications of disruptive technologies (DTs), this thesis will analyze the use of 3-Dimensional Printing (3DP), Big Data (BD), and Internet of Things (IoT) in Supply Chain Management (SCM). The devastating impact of the COVID-19 pandemic has highlighted the need for greater Supply Chain Resilience (SCR), as disruptions can have a domino effect and damage co-dependent supply chain actors. LÄS MER

5. 4. Enhancing human-robot interaction using mixed reality

   Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Santiago Molina Morillas; [2023]
   Nyckelord :Human-robot interaction; mixed reality; autonomous mobile robots; safety;

   Sammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER

7. 5. Enabling cyber-physical system for manufacturing systems using augmented reality

   Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Pablo Beigveder Durante; [2023]
   Nyckelord :Augmented reality; IoT; big data; sustainable manufacturing; industry 4.0;

   Sammanfattning : This project focuses on addressing the challenges faced by manufacturing lines such as complexity and flexibility through the integration of Augmented Reality (AR), Internet of Things (IoT), and Big Data technologies. The objective is to develop a framework that enhances the efficiency, flexibility, and sustainability of manufacturing processes in the context of Industry 4. LÄS MER