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Wastewater treatment plant improvement by smart sensors and computational intelligence (WAPSCIENCE)

Obiettivo

The project aims to develop an integrated solution that will improve the efficiency of municipal and industrial wastewater treatment plants at comparatively small costs. Two workpackages will be executed in parallel: WPI refers to the development of a robust, smart, lowcost on-line-sensor for the measurement of the concentration of nitrate and ammonia in wastewater treatment plants (WWTPs). WP2 refers to the development of a self-adaptive system to identify abnormal situations, predict critical states of the process and generate warnings about malfunctions of sensors and control-circuits. Both workpackages include an applied research phase where the state of the art, the requirements and specifications as well as the design of the hardware and software will be accomplished. Furthermore they involve a development phase to implement and test the sensor unit and the self-adaptive system. In WP1 a number of problems will be faced: Membrane fouling, which will be faced by using a robust mechanical cleanable anti-fouling-membrane for which a patent has been applied for recently by one of the SME partners, HYDRION, To avoid falsification due to interactions, additional sensors for chloride and potassium will also be included and a mathematical algorithm for compensatiol!will be implemented in the sensor. For simple installation, the sensor will be equipped with a standard computer interface (USB or Bluetooth). In WP2 the development of a self-adaptive system will be based on Computational Intelligence to gain information about the present and future state of the plant and allow for automatic generation of predictive warnings and alarms. Predictions of state values will allow predictive feedback-control. System development will be based on commercially available software-tools and software-libraries but also new algorithms that will be developed. Based on the deliverables of WP1 and WP2, prototypes of the sensors in combination with the selfadaptive system will be inte

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Coordinatore

UNIVERSITY OF APPLIED SCIENCES COLOGNE - CAMPUS GUMMERSBACH
Contributo UE
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Indirizzo
AM Sandberg 1
GUMMERSBACH
Germania

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Partecipanti (7)