Drones

DroMoSPlan – Drones for autonomous Monitoring of Steel Plants

Baseline situation
– Drone technology is increasingly being used for civilian purposes and further developed in these areas.
– For a successful transfer to the steel industry, technical, economic, legal and social framework conditions have to be examined.
– Algorithms for autonomous and intelligent flying are needed to increase safety in confined and complex industrial environments.
– In order to make drones a reliable tool for industry, a more robust design, the use of durable and resistant components and automatic charging stations must be developed.

Project goals
– Improvement of robustness and operational safety compared to conventional drones
– Use of automatic charging stations in steel works
– Increased occupational safety through the use of drones in complex and endangered areas
– Reduction of maintenance and repair costs
– Development of algorithms for autonomous flying
– Provision of innovative user interfaces (e.g. smartphone apps)
– Development of a training concept for the operational use of drones
– Investigation and consideration of social and operational aspects

Work stages
– Research all legal and operational framework conditions for the use of drones in the steel industry
– Initiate employee surveys and evaluate the acceptance and social aspects of modern drone technology at the workplace.
– Design and deploy industrial droning platforms
– Design hardware concepts for autonomous flying
– Design and implement communication interfaces and algorithms
– Carry out and validate test campaigns in the steelworks

Usefulness
– Cost reduction in the areas of maintenance, monitoring and logistics
– New inspection possibilities for many different operating ranges
– Enhancing the competitiveness of the European steel industry
– Increased occupational safety through the use of drones in hazardous areas

 

https://www.youtube.com/channel/UCjL_zSHhnzm0IeFP3u8M2jQ

 

http://www.dromosplan.eu

Gallery

Recommendation

InTEGrated – Development of innovative TEG systems

Background A huge amount of waste heat occurs during steel making processes which is given unused to the environment. Using […]

Optimal Residual Stress Control – ORSC

Situation: Trend in product development where higher quality standards with tighter material property tolerances are demanded by clients. Quality problems […]

PreventSecDust – Reduction of dust emissions in the furnace

Initial situation: Due to the wide range of material transports, the preparation of the fluff is one of the largest […]

s-X-AIPI – self-X Artificial Intelligence for European Process Industry digital transformation

The overall objective of s-X-AIPI is to research, develop and experiment an innovative toolset of custom trustworthy self-X AI technologies […]