Sensor Lab Brainstorming

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Sensor Lab Brainstorming by Mind Map: Sensor Lab Brainstorming

1. General background

1.1. What different kinds of sensors are out there?

1.2. What can we buy?

1.3. What can we build?

1.4. Developing knowledge about putting the right sensors in the right place

1.4.1. Requires physics knowlege

1.5. Redundancy

1.5.1. Other sensors able to detect if one sensor fails? Also be able to estimate value based on data from other sensors

1.6. Digital twin of sensors

1.6.1. DT placed in a system DT

1.6.2. Could also be used to optimize sensor placement

2. General

2.1. Use Cases

2.1.1. What to include and how these will be strategically used?

2.2. Smart sensors

2.2.1. Will need more programmers

2.3. Can make more than just sensors

2.4. Only smart sensors?

2.4.1. Bringing other information to the sensor?

2.4.2. Effect on the data value chain

2.4.3. Self healing systems?

2.4.4. Potential for hacking?

2.5. Mechatronics?

2.6. Cyberpyhysics?

2.7. How to make this a lab for the whole DS sector?

2.8. How to use the labs beyond projects?

2.8.1. Connection to other labs at IFE

2.8.2. Connections outside of IFE

2.8.3. Creative space to generate research ideas

2.8.4. Competence development In HA dept and in DS generally?

2.8.5. CATAPULT application

2.9. New technology implies new ways things can fail

2.10. Physical room

2.10.1. If designing an experimental space, need an observation room etc.

2.11. Focus on the human is one of the things that makes DS unique (esp. for NFR)

3. Water monitoring

3.1. 1 application in progress

3.1.1. Problem is a lot of water leakage How to detect these? Preventative maintenance of water supply system

3.2. Water loop? Follow up with Vikash

3.2.1. Possibility to move the loop to the OA5 basement

3.2.2. Different projects using the same facility?

3.2.3. Links to other labs to use same equipment

3.3. Running pumps to see if they fail

3.4. Storm water problems

3.4.1. Contamination of rivers Placing sensors in urban areas to gather data

3.5. Contaminaton of drinking water

3.5.1. Possible to replace manual analysis with real-time sensors?

4. Research questons

5. Hydrogen

5.1. DS already has cooperation with Kjeller

5.2. Building fuel cells

6. Autonomous Ferries

6.1. Prototype in halden?

6.2. What measurements are needed to control the ferry?

6.3. Also checking water quality daily when the ferry is running

7. Space research

7.1. Vacuum Chamber

7.2. Norsk Romsenter

8. Mobile detection

8.1. Detect radiation in the workshop and Tistedalsgata - e.g. using lawnmower

8.2. Links to the decommissioning work

8.3. Possible link to Industry 4.0

8.4. How does this link to UN sustainability goals? For example...

9. Decommissioning

9.1. RoboDecom

9.1.1. Modular cyberphysical system

9.1.2. E.g. arms carrying sensors

9.2. MedProt

9.2.1. Robotics in a clean room

9.3. LiveDecom

9.3.1. How to handle data coming from sensors?

9.4. HRP

9.5. SMARTEES proposal

9.5.1. Robots making hazard maps

9.6. NND proposal

9.6.1. Radiation sensors that can also do 3D mapping

9.7. SoftRobotics proposal

9.7.1. Controlled in VR

9.7.2. Could also be useful in hot cell applications

9.7.3. Clean rooms

9.8. Radiation monitoring

9.8.1. At what point does the radiation kill the sensors?

9.9. Gamma detector

10. Safety fan

10.1. Digitalization of control system

10.2. Make a digital version of the analogue system

11. Petroleum

11.1. Using an active neutron source to interrogate oil pipes on sea bed

12. Demonstration lab

12.1. Demo next generation of machines

12.1.1. Richer experience of reality

12.1.2. Learn

12.1.3. Develop plans and improvise

12.1.4. interaction with humans and other machine

12.2. Focus on technology development in combination with studies of human-automation collaboration

12.2.1. Crucial to demonstrate the success of the technology

12.3. Interaction with humans

12.3.1. Mission control

12.3.2. Maintenance

12.3.3. Monitoring system health

12.3.4. Upgrade installation

12.3.5. Operation of system beyond design basis Crisis Mitigation

12.3.6. Organisation/supervision of autonomous agents E.g. from a control center

12.3.7. Shared control of semi-autonomous systems

13. Human-automation collaboration

13.1. How much do humans know about the machine?

13.2. How much must the machine know about the human?

13.3. Biometric measurements of human performance?

14. Environment

14.1. Gas / air

14.2. Methane to hydrogen reactor

14.3. Drones

14.4. Weather prediction

15. Virtual testing

15.1. More sensors = more testing (more data)

15.2. Digital twin

15.3. Sensing the human - what should the machine know about the human?

15.4. Prediction of human behaviour

16. Manipulation of sensor intelligence

16.1. How does this impact human performance and behaviour?

17. Ice detection

17.1. NILU sensor to detect black ice

17.2. What kind of vehicle could carry the sensor?

17.3. Optimisation of salt usage?

18. Industry 4.0

18.1. Husqvarna : Place sensors in existing infrastructure?

18.1.1. Early failures in production process not detected

18.2. Solar industry

18.2.1. Improving solar panels (Kjeller)

18.3. Digital guard in windmills

18.3.1. Sensors that can be placed in windmill infrastructure?

18.3.2. What kind of sensors can be attached?

18.4. Planning an Industry 4.0 center at IFE in the future

18.4.1. Use the sensor lab to create prototypes, for example?

18.5. Bundling sensors

18.5.1. Creating an IoT device?

18.5.2. Creating a gateway

18.5.3. Hub collecting data from multiple sensors

19. Molten Salt Reactors

20. Oslo Cancer Cluster

20.1. Set up meeting with Eva Dugstad and discuss possible future projekts.

20.2. Try to get in on the MaMa-K projekt. (It's the Kongsberg Beam Projekt.) Anything from hardware to AI.