An integrated system to remote monitor and control anaerobic wastewater treatment plants through the internet

Abstract

The TELEMAC project brings new methodologies from the Information and Science Technologies field to the world of water treatment. TELEMAC offers an advanced remote management system which adapts to most of the anaerobic wastewater treatment plants that do not benefit from a local expert in wastewater treatment. The TELEMAC system takes advantage of new sensors to better monitor the process dynamics and to run automatic controllers that stabilise the treatment plant, meet the depollution requirements and provide a biogas quality suitable for cogeneration. If the automatic system detects a failure which cannot be solved automatically or locally by a technician, then an expert from the TELEMAC Control Centre is contacted via the internet and manages the problem.

Sustainability and process control: A survey and perspective

“…Similarly, in the context of effluent/waste management, efforts have been directed towards modeling and estimation [129,130], monitoring [131,132], fault diagnosis [133,134], hybrid PI control [135], cascade control [136], data-driven control [137,138], fuzzy control [139], adaptive and robust control [140], nonlinear model-based feedback control [141], optimal control [142], linear MPC [143,144] and nonlinear MPC [145,146]. A hierarchical control strategy, motivated by the presence of multi-time-scale dynamics has also been implemented for a climate control [147] system and an integrated wastewater system [148].…”

EXCEED – Excellence Center for Development Cooperation Sustainable Water Management in Developing Countries

“…The SC in Guadalajara intends to provide the scientific expertise for the solution of water management problems in mega-cities. [12] The activities in Mexico are supposed to set an example for regional politics and to be put into practice all over Latin America.…”

Lessons learnt from 15 years of ICA in anaerobic digesters

“…Evidence theory gathers many advantages: modularity, robustness, novelty identifiability, adaptability, low modelling requirements and multiple fault identifiability. Additionally, it allows an easy integration of software sensors, an automatic activation and tuning of control loops and a validation of different simple models developed to handle specific situations, these aspects being of great help for remote monitoring purposes (Bernard et al, 2005).…”