The TELEMAC project will design a modular and reliable system supporting a remote telemonitoring and telecontrol of small depollution units with no local expertise.
By using a network of smart sensors, robust advanced control procedures, fault detection and isolation techniques, a remote expert will manage the complex non-linear anaerobic digestion process via Internet and assist the local technician.
The history of the supervised plants will feed a learning data base in order to improve the process management.
The TELEMAC project focuses on bringing new methodologies issued from the IST field to the conservative world of water treatment.
It will enhance new services for SMEs generating concentrated pollutants.
This will enhance the creation of new companies to improve the management of wastewater treatment and cogeneration through the Web.
Targeting an unstable biological process, the TELEMAC project proposes a set of adaptive and customisable tools for the small units in order to improve the quality of their depollution process, reduce the treatment cost and increase the derivate products output. It is stressing on the synergy expected from the merger of robust advanced control algorithms and supervision systems based on artificial intelligence techniques.
Its objectives are to:
1. Provide a set of tools to assist a remote expert centre in managing a wastewater treatment plant through Internet. This will improve the process reliability and quality;
2. Guarantee a customised depollution system to SMEs characterised by a low cost, plug and play installation and easily portable architecture;
3. Decrease the depollution cost (maintenance cost, operational cost, post treatment cost, initial investment);
4. Improve derived products output, and in particular provide a biogas quality suitable for cogeneration.
The TELEMAC project will rely upon 7 specific yet inter-dependent work packages:
WP1 will run the experimentation and validation aspect of the project. It is therefore the cornerstone of the TELEMAC project as it is involved from the very beginning by providing data (at lab, pilot and industrial scale) and in every major step of the project, up to the final validation;
WP2 will focus on the Smart Sensors development. It will specify the sensors requirements, design and build both hardware and software sensors, integrate fault residues in the sensors to improve the information reliability, validate and integrate optimally sensors from lab to full industrial scale;
WP3 will provide the Advanced Control system relying upon validated models normal and abnormal working conditions. It will develop models, on line estimate the main model parameters, and design robust controllers to achieve optimal control and help the process to recover in case of failure;
WP4 will design the supervision system by providing an adaptive fault detection and isolation strategy. It will develop knowledge base and data base management, learning algorithms and provide assistance to human to help them address the problems;
WP5 will develop the Telemonitoring dimension of TELEMAC, analysing information security requirements and setting up web based interfaces and communication tools. It will integrate all the TELEMAC modules into a functioning whole;
WP6 will ensure an efficient exploitation and disseminating of the results, both in the scientific and industrial domains. This last point will rely on a deep end users' involvement and a prepared implementation phase;
WP7 will coordinate the project scientifically and administratively. It will create the necessary conditions for the project to achieve its objectives and perform the project review to guarantee the quality of the actions implemented.
T0 + 6: Initial system architecture and system management strategies defined;
T0 + 15: Database for measurements recording and plant architecture description completed;
T0 + 18: First TELEMAC Software version delivered;
T0 + 22: Set of models reliable an able to describe most of the situations completed;
T0 + 24: Set of algorithms in order to tackle the fault detection and isolation objectives delivered;
T0 + 27: Hardware prototype of the adaptive sensor with robust probes ready;
T0 + 27: Software sensors for state forecasting accompanied with fault residues;
T0 + 28: Set of robust controllers integrated;
T0 + 33: Instrumented plants piloted with the TELEMAC software tested;
T0 + 36: Final TELEMAC software delivered.
Funding SchemeCSC - Cost-sharing contracts
22210-030 Rio De Janeiro
BS13 8AR Bristol
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