The Design And Implementation Of Smart Home Monitoring System Based On Location Technology

With the continuous advancement of technology,people’s quality of life has also steadily increased.The traditional home life model has been difficult to meet the diverse needs of people,and the concept of smart home has entered people’s vision.A mature smart home system is inseparable from the monitoring of multiple environmental information,and to better monitor environmental information requires consideration of the way the sensor is networked and the type of information to be monitored.The common smart home monitoring system often only pays attention to the indoor environment information and ignores the user’s behavior habits,making the smart home system difficult to integrate into the daily life of the user.Therefore,the smart home monitoring system designed and implemented in this project is not only common.Environmental monitoring functions,such as monitoring changes in environmental information such as temperature and humidity,lighting,etc.,also added the human body positioning function,using the user’s motion route as the monitoring object,using the indoor positioning algorithm to obtain the specific location of the user at a certain moment in the home,and according to These positioning results plot the user’s motion trajectory.The smart home monitoring system designed in this project is mainly divided into three parts:wireless sensor network,server and client.The relevant environment information is collected by the wireless sensor network,collected by the aggregation node and sent to the server.The server stores the environment information in the database.When the server receives the query request from the client,it extracts the corresponding data from the database.The data is sent to the client.The system uses the system structure of the client and server to develop.The Android mobile application is used as the client,the server is implemented by Python and Django framework,and the sensing network is simulated by omnet++.In the server,combined with the improved three-side positioning algorithm to achieve the human body positioning function,the monitoring of user behavior habits is completed.Use this system to view indoor environmental information in different time periods,such as temperature and humidity.At the same time,according to the data returned by the human body sensor,use indoor positioning technology to obtain the user’s indoor movement track and enable it to be used in Android mobile phone customers.Displayed at the end.In the final chapter of this article,the smart home monitoring system is tested to verify the integrity of the system.