Software agent system controls comfort settings in the house

Abstract

A building can be called intelligent when it has the means for automatic control of all systems for life activities. Intelligent environments are able to support ever-changing environmental needs by automatically and dynamically adjusting their key parameters without explicit human intervention. An intelligent building can be defined as one that is able to acquire and apply knowledge about its inhabitants and their surroundings in order to adapt to the inhabitants and meet the goals of comfort and efficiency. Agents are software programs designed to act autonomously and adaptively to achieve goals defined by their human developers. These systems make use of a knowledge base and algorithms to carry out their responsibilities. This article analyses software agent system in the building environment. How does the agent control temperature and humidity in the house, how does it make decisions? The creation tasks of software agent system are solved with the help of Agent Unified Modelling Language. The collaboration diagram describes a particular situation and is useful to present objective range analysis results. Temperature and humidity measurement and access control appliances can interact with each other with defined functions. Fuzzy controller ensures the comfort situation in the room. Fuzzy logic rules in line with the method of choice are very important during system design. Study the conventional fuzzy control, which is also known as the creator of the first Mamdani fuzzy system. Logical description of the decision engine IF - THEN a rule set of fuzzy expert system to provide connections between the fuzzy variables in order to obtain the changes that occur in the input sensor. The computer program of fuzzy system is analysed. Obtained results are discussed and conclusions are made.