Smart home control system and method based on Alljoyn and machine learning

Abstract

The present invention discloses a smart home control system and method based on Alljoyn and machine learning and belongs to the machine learning, Internet of things and mobile Internet technical field. The method includes the following steps that: S1, sample sets are acquired, a neural network model is obtained by means of training; S2, a machine learning system is deployed, and communication between the machine learning system and a server is established; S3, an Alljoyn gateway is deployed, and communication between the Alljoyn gateway and the server is established; S4, a device and a data acquisition module are connected into the Alljoyn gateway; S5, a mobile end application controls the device; S6, the neural network model is updated; and S7, smart scenes are seamlessly switched. According to the smart home control system and method of the invention, artificial intelligence is introduced into a smart home and is combined with a mobile Internet, and therefore, a convenient, efficient, safe and user-friendly smart home control scheme is designed, and the internal / external network real-time synchronization of the state of an intelligent device, the seamless switching of the smart scenes and the self-management of the smart home system are realized.

Description

Technical field: [0001] The invention relates to the technical fields of machine learning, Internet of Things and mobile Internet, in particular to an intelligent control system and method based on Alljoyn and machine learning in smart home. Background technique: [0002] Smart home is a technology industry that integrates Internet technology, computer technology, wireless communication technology and electronic technology. It is still a newcomer in the growth stage, and the technology in all aspects is not very mature. It can intelligently manage and control home devices, providing a comfortable, convenient and reliable home living environment. However, at present, the smart home industry does not pay much attention to intelligence. As far as the current mainstream smart home products are concerned, they simply implement some "artificially triggered" functions such as scene selection, timing functions, and conditional triggers. Without the user, these control schemes basic...

AI Technical Summary

Problems solved by technology

However, at present, the smart home industry does not pay much attention to intelligence. As far as the current mainstream smart home products are concerned, they simply implement some "artificially triggered" functions such as scene selection, timing functions, and conditional triggers. Without the user, these control schemes basically do not work

This kind of smart home products with a low degree of intelligence is difficult to meet people's needs for "intelligence" of smart homes. Therefore, smart home product developers are paying more and more attention to improving the "intelligence" of smart home products.

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