Data And Information Utilisation In
Waste Management Systems
Author(s)
T. Nuortio, G. van den Dool, T. Hiltunen, V. Matikka,
T. Räsänen & M. Kolehmainen
Abstract
Within a waste management company new data is accumulating in the different
data management systems, but comprehensive utilisation of available data is too
often neglected. New software products and systems, like driving guidance
systems, are collecting additional information daily about the service areas.
Extensive use of the gathered data as well as the data available in public and
private domains can provide essential information for the planning and decision
making of regional waste collection.
In this study we explored the possibilities of refining, modelling and
utilising the data stored in the operational databases of the Finnish waste
management company Jätekukko Ltd. The focus of this study was especially on
modelling and predicting waste formation with MLP (multi-layer perceptron)
and giving an insight into future possibilities of utilising the modelled data.
Keywords: solid waste management, information utilisation, data modelling,
neural networks, multi-layer perceptron.
1 Introduction
The changes in the Finnish waste management sector have increased the need for
more comprehensive use of collected data and information systems. Information
technology (IT) enables automatic data collection, data transfer and knowledge
refinement, IT also enables implementing new services and technologies in
waste management and provides the basic elements for network design to
construct new sophisticated data management systems.
Keywords
solid waste management, information utilisation, data modelling,
neural networks, multi-layer perceptron.
Related Book
Other papers in this volume
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