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Intelligent household control model training method, control method and device

A smart home control and smart home technology, applied in the direction of program control, computer control, comprehensive factory control, etc., can solve the problem that linkage rules cannot meet actual needs, and achieve the effect of improving user experience and realizing intelligent control

Inactive Publication Date: 2017-12-19
SHENZHEN SPOTMAU INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Linkage requirements are very complicated for ordinary users, and linkage rules are based on logical conditions, which often make it difficult for ordinary users to define complex conditions
Moreover, the behavior of ordinary users is volatile, and changes in some behaviors often cause the linkage rules defined in advance to fail to meet actual needs

Method used

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  • Intelligent household control model training method, control method and device
  • Intelligent household control model training method, control method and device
  • Intelligent household control model training method, control method and device

Examples

Experimental program
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no. 1 example

[0062] see figure 2 , is the application provided by the embodiment of the present invention figure 1 The flow chart of the control model training method of the smart home in the control background 10, the following will figure 2 The process shown is described in detail.

[0063] Step S101 , record condition factor data and corresponding trigger results triggered by the smart home device 30 for multiple times.

[0064] In the embodiment of the present invention, the control background 10 will receive the data information of the smart home device 30 and the user terminal 20 in real time during operation, and when a certain smart home device 30 is triggered, the control background 10 will record that the smart home device 30 is activated Condition factor data and corresponding trigger results when triggered.

[0065] Wherein, the triggering of the smart home device 30 may refer to switching of the working state of the smart home device 30 , such as changing the smart switch...

no. 2 example

[0094] see image 3 , is the application provided by the embodiment of the present invention figure 1 The block schematic diagram of the control model training device 110 for the smart home control background 10 shown in . The smart home control model training device 110 includes a recording module 111 , a quantization module 112 and a training module 113 .

[0095] Wherein, the recording module 111 is used for recording condition factor data and corresponding triggering results triggered by the smart home device 30 for multiple times. The condition factor data includes the identification information of the user terminal 20, the location information of the user terminal 20 within a predetermined time before being triggered, the trigger status information of the smart home device 30, and the control of the smart home device 30. At least one of information and trigger time. It may also include status information of other smart home devices 30 in the home control system, curre...

no. 3 example

[0110] see Figure 5 , is a flow chart of a smart home control method provided by an embodiment of the present invention. The smart home control method is applied to a control background 10 of a smart home control system. The smart home control system includes a smart home device 30, a user terminal 20 and the The control background 10 is connected to the smart home device 30 and the user terminal 20 in communication respectively. The control background 10 establishes a training model obtained by using the smart home control model training method in the first embodiment. The following will be Figure 5 The process shown is described in detail.

[0111] In step S201, the current condition factor data is obtained, and when at least one sub-data in the current condition factor data is within the range of the condition factor corresponding to the sub-data, the second input vector is quantized according to the current condition factor data.

[0112] In the embodiment of the prese...

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Abstract

The invention provides an intelligent household control model training method, a control method and a device, and relates to the intelligent household technical field; the intelligent household control model training method comprises the following steps: recording condition factor data triggered by the intelligent household equipment in multi-time and corresponding triggering results; quantifying each condition factor data piece so as to form a first input vector; quantifying the triggering result corresponding to each condition factor data piece so as to form a first target vector; training samples according to each the first input vector and the first target vector matched with each the first input vector, thus obtaining a training model. By using the intelligent household control model training method, the control method and the device, common users need not to define linkage rule conditions and control portions, thus automatically defining the intelligent household equipment linkage rules, satisfying user real demands, and improving user experiences.

Description

technical field [0001] The present invention relates to the technical field of smart home, in particular to a control model training method, control method and device for smart home. Background technique [0002] In the field of smart home, linkage control is a core function. Linkage control means that the smart home background system can automatically remotely control the user terminal equipment without manual intervention through the judgment of certain conditions, so as to meet the specific needs of the user. [0003] However, it is difficult for ordinary users to define the linkage rules. The definition of the conditions and controls of the linkage rules, especially the condition part, is difficult for ordinary users to understand. Although it can be improved by improving the user experience of the linkage rule definition interface, the effect is limited. Linkage requirements are very complicated for ordinary users, and linkage rules are based on logical conditions, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B15/02G05B19/418
CPCG05B15/02G05B19/418G05B2219/2642
Inventor 张伟刘朝晖甘岱杉
Owner SHENZHEN SPOTMAU INFORMATION TECH CO LTD
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