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Fuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layout

机译:基于日光照度和室内布局的手动照明控制行为模式分类的模糊逻辑模型

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摘要

In considering total building energy consumption, lighting plays an important role in shaping energy consumption and use. Although key strategies (such as energy efficient lighting products, lighting control systems and energy simulation software) are developed so far, such attempts may be unsuccessful unless users are not taken into consideration. Users' behaviours and their manual lighting control actions depend on various factors, though within the scope of this study manual lighting control behaviour was analysed only in terms of interior layout and daylight illuminance. Three private offices in Izmir Institute of Technology were monitored using illuminance metres and occupancy/light detectors under eight different interior layout conditions. In relation to change of interior layout and daylight penetrations, users' manual lighting control behaviours were monitored. The obtained data were then used to construct a fuzzy logic model in MATLAB FIS editor. A fuzzy logic algorithm was applied to classify behaviour patterns about the tendency to turn on the lights. This kind of prediction of the light usage tendency regarding the occupancy is aimed to foresee the 'possible' manual lighting control behaviour within given conditions. The gathered classification can be used further in future studies of manual lighting control behaviour and energy-saving estimations/simulations.
机译:在考虑建筑总能耗时,照明在塑造能耗和使用方面起着重要作用。尽管到目前为止已开发了关键策略(例如节能照明产品,照明控制系统和能源模拟软件),但除非不考虑用户,否则此类尝试可能不会成功。用户的行为及其手动照明控制行为取决于各种因素,尽管在本研究的范围内,仅根据室内布局和日光照度分析了手动照明控制行为。在八种不同的室内布局条件下,使用照度计和占用/光探测器对伊兹密尔理工学院的三个私人办公室进行了监控。关于室内布局和日光穿透的变化,对用户的手动照明控制行为进行了监视。然后,将获得的数据用于在MATLAB FIS编辑器中构建模糊逻辑模型。应用模糊逻辑算法对有关开灯趋势的行为模式进行分类。这种关于占用情况的光使用趋势的预测旨在预见在给定条件下的“可能”手动照明控制行为。所收集的分类可进一步用于手动照明控制行为和节能估算/模拟的未来研究中。

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