MAIN-Hack – the challenge on predictive maintenance in water management

Topical focus

Predictive Maintenance for

  1. Monitoring of equipment for fluid handling
  2. Monitoring of optimal sewage sludge treatment by chemical dosage

The focus is on specific questions from (waste) water treatment, but also on the monitoring of plant components. For example, acoustic and optical sensors may be used to optimize process steps in (waste) water treatment and to detect system faults more quickly. Based on sensors or components already available on the market, a solution should be developed that ideally captures a problem and can be integrated into existing data networks of companies and sewage treatment plants. Many potential application sites are not easily accessible or do not currently have an interface to existing data networks - solutions must therefore also ensure data transfer.

Both concepts are solution-oriented tasks that originate from industry. The companies will accompany the process both as mentors and as jury members.

Concept

MAIN-Hack is primarily about your creativity and about linking existing or evolving technologies with each other and developing completely new approaches. No specific data sets will be provided.

Both concepts are solution-oriented tasks that originate from industry. The companies will accompany the process both as mentors and as jury members.

The event is supported by Technologieland Hessen.          

Jury

Industrial companies as well as Hessen Trade & Invest [Business Development Agency of Hesse] are represented on the expert jury.  

   

Contact

Dr. Daniel Frank
Phone: +49 69 7564 - 665
E-Mail: Daniel.Frank[at]dechema.de

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