Intelligent Microclimate Control System Based on IoT

Abstract

The present research paper is devoted to solving an urgent problem, i.e., the energy saving and energy efficiency of buildings. A rapid settlement method and experimental control of the energy conservation based on the specific characteristics of the thermal energy consumption for the heating and ventilation of the buildings, and as well as the rapid development of wireless sensor networks, can be used in a variety of monitoring parameters in our daily lives. Today's world has become quite advanced with smart appliances and devices such as laptops, tablets, TVs, and smartphones with various functions, and their use has increased significantly in our day-to-day lives. In this case, the most important role is played by a wireless sensor network with its development and use in heterogeneous areas and in several different contexts. The fields of home automation, process management, and health management systems make extensive use of wireless sensor networks. In this paper, we explore the main factors of the microclimate in an indoor environment. We control the temperature humidity, and other factors remotely using sensors and Internet-of-Things technologies.

Systematic Review Analysis on Smart Building: Challenges and Opportunities

“…In this context, this study classified this technology into three categories based on data used as input to control HVAC energy consumption. The first category [15,16,18,[35][36][37][38][39][40][41][42][43][44] of the control system uses temperature and humidity data. The second category [45][46][47][48] uses temperature, humidity, and an infrared camera.…”

“…The demand-side response is mostly applied in smart grid applications to balance demand and supply by encouraging customers to modify their load profile, for example, by scheduling the load to a period of low energy demand [32] to benefit from low tariff structures or adjusting the desired comfort level by minimizing the setpoint energy consumption. For example, the existing alternative to solve power imbalance and high cost by shifting the load compromises the comfort by deviating from desirable setpoint [42,57,58,[71][72][73][74][75][76][77][78]. In the literature [57,79,80], fuzzy logic has been used to control HVAC systems' energy consumption using a programmable microcontroller to adjust temperature set point changes.…”

Smart Home Climate Control System Based on Fuzzy Logic Controller

“…Comprehensive coverage of different criteria of comfortable living involves the use of linguistic variables and rules, which are close to spoken language by structure presentation. These requirements need the use of specific approaches, which include fuzzy modeling methods [10,11]. Fuzzy modeling is a classic artificial intelligence technology that is successfully used in many control systems for industrial and household appliances, where traditional modeling methods and controllers usually do not provide the required level of efficiency or productivity.…”

Development and Analysis of Models for Assessing Predicted Mean Vote Using Intelligent Technologies

“…20, no. 4, December 2020 multi-agent systems, have been used to improve the quality of microclimate regulation [2][3][4][5][6][7][8][9][10] and assess the degree of thermal comfort [11][12][13].…”