Project Details
Description
The University project investigated sensor-based ambient intelligence systems and attempted to apply them to improving energy efficiency.
Artificial intelligence tools for sensor systems were considered along with ambient intelligence for improving manufacturing and energy efficiency.
The way that decisions are made was considered (especially for saving energy and for Compressed Air Systems), specifically using Ambient Intelligence and AI.
As part of this project, Dr David Robinson joined the University on an academic sabbatical from Cutting Tools Ltd.
Artificial intelligence tools for sensor systems were considered along with ambient intelligence for improving manufacturing and energy efficiency.
The way that decisions are made was considered (especially for saving energy and for Compressed Air Systems), specifically using Ambient Intelligence and AI.
As part of this project, Dr David Robinson joined the University on an academic sabbatical from Cutting Tools Ltd.
Layperson's description
A University project to investigate the use of artificial intelligence and sensor systems for energy saving applications.
Key findings
Created:
- Sensor-based ambient intelligence systems for improving energy efficiency.
- Artificial intelligence tools for sensor systems.
- Ambient intelligence for improving manufacturing and energy efficiency.
- Decision making systems for saving energy.
- Energy saving systems for Compressed Air Systems using Ambient Intelligence and AI.
- Sensor-based ambient intelligence systems for improving energy efficiency.
- Artificial intelligence tools for sensor systems.
- Ambient intelligence for improving manufacturing and energy efficiency.
- Decision making systems for saving energy.
- Energy saving systems for Compressed Air Systems using Ambient Intelligence and AI.
| Short title | AI for energy |
|---|---|
| Status | Finished |
| Effective start/end date | 21/06/14 → 3/04/17 |
Collaborative partners
- University of Portsmouth (lead)
- Charles Robinson Cutting Tools Limited
- mb air systems ltd
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Artificial
- Intelligence
- Sensor
- Applications
- Energy
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Making decisions about saving energy in compressed air systems using Ambient Intelligence and Artificial Intelligence
Sanders, D., Robinson, D. C., Hassan Sayed, M., Haddad, M. J. M., Gegov, A. & Ahmed, N., Jan 2019, Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 2. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 1229-1236 (Advances in Intelligent Systems and Computing; vol. 869).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile490 Downloads (Pure) -
Ambient intelligence for optimal manufacturing and energy efficiency
Robinson, D. C., Sanders, D. A. & Mazharsolook, E., Aug 2015, In: Assembly Automation. 35, 3, p. 234-248 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile535 Downloads (Pure) -
Artificial intelligence tools can aid sensor systems: WWW Journal Publication of a copy of the extended paper originally published in Control Engineering in October 2013.
Sanders, D., 1 Jan 2015, In: Plant Engineering. p. 1-5Research output: Contribution to journal › Article › peer-review