Smart home decision-making method based on Markov logic network

A logical network and smart home technology, applied in speech analysis, program control, instruments, etc., can solve complex decision-making and other problems, and achieve the effect of improving the probability of optimal decision-making

Pending Publication Date: 2020-04-21
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, due to the complexity of the environment and the diversity of user behaviors, the decision-making will be more complicated. Therefore, in order to solve the uncertainty of

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  • Smart home decision-making method based on Markov logic network
  • Smart home decision-making method based on Markov logic network
  • Smart home decision-making method based on Markov logic network

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention All modifications of the valence form fall within the scope defined by the appended claims of the present application.

[0031] A smart home decision-making method based on Markov logic network, using the first-order logic rules of Markov logic network to represent the concepts and a set of logic rules that play a role in the decision-making process, and then in the decision-making stage according to the Markov logic Instances in the network knowledge base use these logic rules as templates to build influence diagrams.

[0032] Symbol descriptions are shown in Table 1.

[0033] Table ...

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Abstract

The invention discloses a smart home decision-making method based on a Markov logic network. The method can be used for solving the problem of uncertainty of intelligent control achieved according touser preferences and environment temperature after a user sends out voice control and natural language processing is conducted, and the uncertainty of the method is due to the fact that evidences provided in the decision making process, namely environment information, are fuzzy. Application of Markov logic network module is the core of the whole method, and the final purpose of realizing decisionmodeling by using an influence graph is realized. According to the method, the weight corresponding to each decision rule is calculated according to parameter learning of the Markov logic network, aninfluence graph model in a specific scene is realized, the maximum expected utility of each decision is calculated, a decision framework in an uncertain intelligent environment is expanded, and the probability of adopting an optimal decision is improved.

Description

technical field [0001] The invention relates to a method for establishing a decision-making model of an influence graph based on a Markov logic network, specifically judging the best decision-making in a smart home environment according to the expected utility of each decision-making. Background technique [0002] With the continuous development and progress of the smart home, the smart controller can make appropriate decisions according to the environment after the user sends a request. This requires an advance perception of the user's activity location at this time, which not only helps to trigger a decision, but also helps make the decision adapt to the activity environment at this time. Therefore, the researchers proposed the concept of context awareness. Context is any information that can be used to describe the status of an entity. Generally speaking, the state of the environment and the location of the user are elements of the context. On this basis, the present inv...

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Application Information

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IPC IPC(8): G06F16/2455G05B15/02G10L15/22
CPCG05B15/02G05B2219/2642G10L15/22G10L2015/223G06F16/24564
Inventor 管有庆戴丹卢捍华闵丽娟
Owner NANJING UNIV OF POSTS & TELECOMM
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