Indoor Smart Design Algorithm Based on Smart Home Sensor

Abstract

Modern home furnishings have solved the most basic housing problems, but how to make homes more informatized and modern has become the focus of people’s growing concern. With the rapid development of information technology, improving the intelligent level of family life and modern lifestyle is bound to be the trend of future development. This paper studies a smart home control system based on wireless sensor network positioning, which can perceive the home environment through the sensor module, and the control module can automatically control common electrical appliances to achieve real-time data monitoring and alarm functions. Specifically, it includes a positioning module, a communication module, and a server: the positioning module is connected to the server through the communication module, and the positioning module is used to obtain user location information in real time and report user location information to the server at intervals. The server receives the user reported at intervals through the communication module. Location information and remotely control smart home devices based on user location information. The research results show that the method proposed in this paper can separately monitor each part of the home and send it to the home appliance control module through the server to control the home appliance, optimize the living environment, and realize the remote control and monitoring of the smart home.

Evaluation of IoT-Based Smart Home Assistance for Elderly People Using Robot

“…The proposed KNN-ABC system was implemented in Python 3.6, and was compared with Gaussian Naive Bayes (GNB) [36], Artificial Bee Colony algorithm (ABC) [17], and KNN [37]. Table 2 shows the measures of Precision, Recall and Sensitivity for the different algorithms used in the smart home system.…”

“…In [17], the author presented a smart home remote control system based on wireless sensor networks that collect positioning information and use actuators to control electrical appliances and operate alarms. In [18], X. Gengyi applied support vector machine (SVM) in a smart-home energy monitoring system using a cloud computing-based platform.…”

Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review

“…Artificial intelligence (AI) technologies, which may involve several devices, are used to implement the processing of complex images. Ruili Zheng thought that improving the degree of intelligence in family life and the current way of life is likely to be a future development trend, especially given the exponential growth of information technology [71], where a diagram of the smart home system, which comprises these three primary AI subsystems, is provided in the design process.…”

Three-Way Group Decisions with Incomplete Spherical Fuzzy Information for Treating Parkinson’s Disease Using IoMT Devices

“…IoT refers to the collection of diverse types of information in actual scenarios via various sensors, the intelligent analysis of the collected data, and the connection of objects from the network to achieve intelligent identification, positioning, supervision, and other tasks. Due to the advantages of high efficiency, accuracy, and security, IoT is now widely used in various areas, such as health management [1], smart home [2], intelligent logistics [3], smart parking [4], and water treatment [5]. Thus, the application of IoT is widespread and has great development prospects.…”