Application of adaptive fuzzy decision-making system for managing water consumption at smart house
محورهای موضوعی : Engineering geology
Reza Mohammadi Jahan
1
,
Mohsen Daryani
2
,
Mehdi Azarafza
3
1 - Department of Electrical Engineering, Faculty of Engineering, Maragheh Branch, Islamic Azad University, Maragheh, Iran
2 - Department of Electrical Engineering, Faculty of Engineering, Maragheh Branch, Islamic Azad University, Maragheh, Iran
3 - Department of Computer Engineering, Faculty of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran
کلید واژه: Fuzzy set theory, water consumption, Decision-making system, Smartized house, Water supply management,
چکیده مقاله :
The purpose of this study is application of fuzzy-based decision-making system (FMCDM) method and a device for monitoring and controlling water consumption in a smart house used for water supply management (WSM) based on intelligent water management system (IWMS). This paper presents an algorithm applied for water demand consumption (WDC) optimization in regular household and its capability to evaluate the WDC range and decision and controlled WSM in critical circumstances. For this purpose, the heuristic decision-making method are used to monitor and control the WCM as effective IWMS methods based on artificial intelligence technology (AIT) and smart-learning multi-sensor. To program the device software, the MATLAB fuzzy logic programming software has been used. In order to assess the device’s capability to respond to real conditions, a device is run to study sample-data for 24 hours a day for a month. In this study, four locations (kitchen, restroom, bathroom and garden balcony) are considered as the main WDC locations, then FMCDM algorithm are applied on these targets by main device. The results indicate that the first place (kitchen) has the greatest impact on WDC. However, the fourth place (garden balcony) has the lowest impact on WDC as well water consumption volume (WCV). Moreover, for analysis justification, the expert system (ES) is conducted as a comparison that shows the appropriate agreement with the FMCDM results.
