Abstract
The paper discusses an approach which is targeted at obtaining maximal benefits of contemporary advanced lighting systems. The benefits are expressed in terms of improved energy efficiency (i.e. lower power consumption) or citizens quality of life. Applying proposed solution one could use intelligent control methods which functionality goes far beyond simple preset lighting scenarios as 109110 it is present in existing commercial systems. The main problem tackled here is a high complexity of control algorithms related to a size of a state space compound of lighting profiles, fixtures working parameters and varying environment conditions. The pro- posed method, designed for solving this issue, is using decom- posable graph representations of the environment under control, and multiagent system deployed on it. An important component of the system is a rule-based engine, adapting lighting control parame- ters to actual environment needs.
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