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

A technology of smart home control and machine learning, applied in general control systems, control/regulation systems, computer control, etc., can solve the problems of low-level intelligent smart homes, low level of attention, unworkable, etc., to improve generalization performance, improve real-time performance, improve stability and security

Inactive Publication Date: 2017-09-19
杭州善居科技有限公司
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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, th

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

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[0051] The following describes the present invention in detail with reference to the accompanying drawings and specific implementations, but it is not intended to limit the present invention.

[0052] This solution uses the Google TensorFlow machine learning platform to deploy the machine learning system back-end in the Python environment as a server-side auxiliary module. In the scene mode, it predicts the current device state based on a set of collected sensor data, and finally passes the Alljoyn protocol Complete the control of the device and realize the switching of smart scenes.

[0053] The specific implementation steps of this program are as follows:

[0054] A. Collect a sample set and train a neural network model

[0055] Step A includes the following process:

[0056] 1. Collect sensor data and corresponding equipment status data in the smart home model room. The types of sensors deployed in the smart home model room include infrared sensors, light sensors, indoor and outdoo...

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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...

Claims

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Application Information

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IPC IPC(8): G05B15/02G05B19/418
CPCG05B15/02G05B19/418G05B2219/2642Y02P90/02
Inventor 包晓安常浩浩陈耀南张娜
Owner 杭州善居科技有限公司
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