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Scene mode self-learning method and device, equipment and storage medium

A self-learning method and scene mode technology, applied in the field of smart home, can solve problems such as complex scene mode configuration, and achieve the effect of reducing complexity

Pending Publication Date: 2020-03-27
杭州深渡科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Based on this, it is necessary to provide a self-learning method, device, equipment and computer-readable storage medium for a scene mode for the complex configuration of the scene mode in the KNX system in the related art

Method used

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  • Scene mode self-learning method and device, equipment and storage medium
  • Scene mode self-learning method and device, equipment and storage medium
  • Scene mode self-learning method and device, equipment and storage medium

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Embodiment Construction

[0045] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0046]In the present embodiment, the present invention is preferably described and illustrated by taking the self-learning of the scene mode of the KNX scene module as an example, but the present embodiment is not limited to only being realized by the KNX scene module, for example, it can also be used in other KNX modules ( Such as KNX lighting control module, KNX curtain control module, KNX air conditioning gateway).

[0047] In this embodiment, a self-learning method of scene mode is provided, figure 1 It is a flow chart of the self-learning method of the scene mode acc...

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Abstract

The invention relates to a scene mode self-learning method and device, equipment and a storage medium. The method comprises: acquiring a self-learning starting instruction; monitoring a first controlmessage on the KNX bus according to the self-learning starting instruction; analyzing the first control message to obtain an operation instruction and an address of the controlled KNX module, the operation instruction being used for instructing the controlled KNX module to execute a preset operation; obtaining a self-learning stop instruction; and stopping monitoring the first control message on the KNX bus according to the self-learning stop instruction, and storing the analyzed operation instruction and the address of the controlled KNX module as a scene mode. According to the method and thedevice, the problem of complex configuration of the scene mode in the KNX system in the related technology is solved, and the complexity of scene configuration in the KNX system is reduced.

Description

technical field [0001] The present invention relates to the field of smart home, in particular to a scene mode self-learning method, device, equipment and computer-readable storage medium. Background technique [0002] KNX is the only open international standard in the field of home and building control, developed from the merger of the three major European bus protocols EIB, BatiBus and EHS. The KNX standard has been approved as a European standard (CENELECEN50090&CENEN13321-1), an international standard (ISO / IEC14543-3), an American standard (ANSI / ASHRAE135) and a Chinese guiding standard (GB / Z20965), and has become a "HBES technical specification- Residential and building control" national standardization guidance technical document. The KNX protocol is based on EIB, taking into account the physical layer specifications of BatiBus and EHS, and absorbing the advantages of configuration modes in BatiBus and EHS, providing a complete solution for home and building automatio...

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 周春喜
Owner 杭州深渡科技有限公司