Case Studies: Difference between revisions
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The AIoT User Group | [[File:CaseStudies.png|1200px|frameless|center|Case Studies]] | ||
The AIoT User Group is researching and documenting relevant case studies for experience sharing and as the foundation for AIoT boot camps and training. Selected case studies are directly embedded into the AIoT Playbook. Case studies must showcase a combination of both, AI and IoT. | |||
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! Case Study !! Description !! | ! Icon !! Case Study !! Description !! Source !! Status | ||
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[[File:Predictive Maintenance.png|80px|frameless|center|Predictive Maintenance for Hydraulic Systems]] | |||
|| [[Predictive_Maintenance_for_Hydraulic_Systems|Predictive Maintenance for Hydraulic Systems]]|| Hydraulic Systems are used in a wide variety of mission critical applications. This variety is creating a number of challenges for predictive maintenance, which have been addressed in this case study. || Bosch Rexroth || Published | |||
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[[File:Manufacturing.png|80px|frameless|center|AIoT in a High-Volume Manufacturing Network]] | |||
|| [[AIoT_in_High-Volume_Manufacturing_Network|AIoT in a High-Volume Manufacturing Network]] || How can AIoT be utilized to address the many - but often smaller - opportunities to optimize operational performance in a High-Volume Manufacturing Network? || Bosch CC and Microsoft || Published | |||
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| [[LHC particle accelerator at CERN]]|| The Large Hadron Collider (LHC) is a 27-km ring of superconducting magnets to control particle beams. The LHCb experiment is designed to examine what happens when certain particles traveling at the speed of light collide. | | | ||
[[File:Particle-accelerator.png|80px|frameless|center|Particle accelerator]] | |||
|| [[LHC particle accelerator at CERN]]|| The Large Hadron Collider (LHC) is a 27-km ring of superconducting magnets to control particle beams. The LHCb experiment is designed to examine what happens when certain particles traveling at the speed of light collide. Excellent case study on very large-scale Industrial IoT with advanced AI. || CERN ||Published | |||
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[[File:Drone.png|80px|frameless|center|Drones for Building Inspection]] | |||
|| [[Drone-based Building Facade Inspection]]|| Using Drones and AI for automated building inspection is helping to significantly reduce costs and increase building safety|| TÜV SÜD || Published | |||
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Latest revision as of 22:10, 13 September 2021
The AIoT User Group is researching and documenting relevant case studies for experience sharing and as the foundation for AIoT boot camps and training. Selected case studies are directly embedded into the AIoT Playbook. Case studies must showcase a combination of both, AI and IoT.
| Icon | Case Study | Description | Source | Status |
|---|---|---|---|---|
 |
Predictive Maintenance for Hydraulic Systems | Hydraulic Systems are used in a wide variety of mission critical applications. This variety is creating a number of challenges for predictive maintenance, which have been addressed in this case study. | Bosch Rexroth | Published |
 |
AIoT in a High-Volume Manufacturing Network | How can AIoT be utilized to address the many - but often smaller - opportunities to optimize operational performance in a High-Volume Manufacturing Network? | Bosch CC and Microsoft | Published |
 |
LHC particle accelerator at CERN | The Large Hadron Collider (LHC) is a 27-km ring of superconducting magnets to control particle beams. The LHCb experiment is designed to examine what happens when certain particles traveling at the speed of light collide. Excellent case study on very large-scale Industrial IoT with advanced AI. | CERN | Published |
 |
Drone-based Building Facade Inspection | Using Drones and AI for automated building inspection is helping to significantly reduce costs and increase building safety | TÜV SÜD | Published |