Smart Home Control and Management Based on Big Data Analysis.

Hao Chi,Yuyan Chi,Yang Gu

doi:10.1155/2022/3784756

Abstract

In order to improve the effect of smart home control and management, a new smart home control and management method based on big data analysis is designed. The basic hardware of smart home control and management is designed, including smoke sensor hardware, temperature and humidity sensor hardware, and infrared sensor hardware, so as to collect smart home data and realize data visualization and buzzer alarm. The collected data are transmitted through the indoor wireless network of smart home gateway equipment, and the data distributed cache architecture based on big data analysis is used to store smart home data. Based on the relevant data, the hybrid particle swarm optimization algorithm is used to schedule the control and management tasks of smart home to complete the control and management of smart home. The experimental results show that the device control and scenario management effect of this method is better, and the communication performance is superior and has high practical application value.

Highlights

In the future information-based life of mankind, the formation of a smart home environment has become an inevitable trend
Smoke Sensor Hardware Circuit. e smoke concentration sensor is specially used to observe whether the smoke concentration in the kitchen exceeds the safe range
Erefore, this article designs to use the smoke sensor MQ2 to detect the smoke concentration. e gas sensor has high sensitivity and adjustable sensitivity, and can respond to most smoke [14], especially for methane (CH4), the main component of natural gas used in the family

Summary

Basic Hardware Design of Smart Home

At is, when the indoor smoke concentration exceeds the threshold, MQ2 module will output low level, and the buzzer will give an alarm. If the smoke concentration does not exceed the threshold, the MQ2 module will output high level [15, 16]. E MQ2 pin of the module is connected with pin P0.5 of CC2530 chip, so the mechanism of detecting high and low levels is used to detect whether the concentration of harmful gas smoke in the environment exceeds the standard value. E infrared sensor module HC-SR501 is used to detect whether there are people close to the house.

NC e empty pin should be suspended

Experimental Design

Findings

Conclusion