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Intelligent home energy management method based on social network behavior perception

A social network and smart home technology, applied in the field of smart home optimization control, to meet comfort requirements and reduce electricity costs

Active Publication Date: 2015-11-18
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, users are often individualized and have their own unique lifestyles and household energy usage methods, and a unified scheduling strategy cannot satisfy users' comfort and economic expectations to the greatest extent.

Method used

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  • Intelligent home energy management method based on social network behavior perception
  • Intelligent home energy management method based on social network behavior perception

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Embodiment Construction

[0026] see figure 1 and figure 2 as shown, figure 1 It is a block diagram of a smart home energy management method based on social network behavior perception; it shows the basic framework of a smart home energy management method based on social network behavior perception. figure 2 It is a block diagram of the analysis method of social network behavior; showing the basic framework of the analysis method of social network behavior.

[0027]A smart home energy management method based on social network behavior perception of the present invention comprises the following steps:

[0028] S101), user network social data and external environment data collection: the user network social data defined in the present invention refers to the information that users interact with other people using social software and email management software on mobile phones and computers, including user status publications and comments , geographical location, friend association, email interaction,...

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Abstract

The invention discloses an intelligent home energy management method based on social network behavior perception. The method comprises S101) acquiring user network social data and external environment data, S102) performing user network social behavior perception, S103) performing user environment demand estimation, S104) performing a user demand updating judgment, S105) performing event drive electrical appliance equipment control strategy optimization, and S106) updating a control strategy of a smart home control module according to a result of the step S105), and shifting to the step S101) to continuously monitor the user network social data. Through monitoring of user's network social software and mail management software, user network social behaviors are identified and predicted in real time, a demand of a user for home environment is estimated and updated, scheduling strategies of various kinds of electrical appliance equipment of smart home are made, the domestic electrical appliance equipment are actively controlled, a comfort requirement of the user for the home environment is satisfied, and electric cost is reduced at the same time.

Description

【Technical field】 [0001] The invention relates to the field of smart home optimization control based on user behavior demand perception, in particular to a smart home energy management method based on social network behavior perception. 【Background technique】 [0002] Optimal control of a personalized smart home relies on user behavior and demand perception. Accurate user behavior perception results can introduce reliable demand perception input for optimal control of smart homes. Reliable demand-sensing input helps the optimization control system to customize an optimal control strategy that is more in line with user characteristics; in the end, it can make the smart home optimization control system satisfy the user's comfort to the greatest extent and help users save electricity bills. The analysis of user's network social data can be used to analyze the user's current activity behavior; the analysis and processing results of user activity behavior can be used to clarify ...

Claims

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Application Information

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IPC IPC(8): G05B19/418G05B15/02
CPCG05B13/02G05B19/418G05B15/02G05B2219/2642
Inventor 刘烃周亚东陈思运车煜林苏曼孙潇潇管晓宏
Owner XI AN JIAOTONG UNIV
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