Household environment energy saving control method on basis of fuzzy intelligent-behavior simulation

Abstract

The invention discloses a household environment energy saving control method on the basis of fuzzy intelligent-behavior simulation. The household environment energy saving control method is characterized by including steps of building an energy saving fuzzy control device, building an energy saving fuzzy control mathematical model, implanting a single-chip microcomputer fuzzy controller, acquiring indoor environment information and sending the information to the single-chip microcomputer fuzzy controller, performing a fuzzy reasoning operation by the single-chip microcomputer fuzzy controller to obtain a fuzzy comfort control output response value, sending the response value to a drive execution mechanism, and controlling openness of a window curtain. By the household environment energy saving control method, difficult problems of contradiction of conventional indoor energy saving parameters, complexity of hardware circuits and the like are solved. In addition, the energy saving control method has the advantages of scientific and effective fuzzy evaluation, simple hardware circuits, high response speed and the like.

Description

technical field [0001] The invention belongs to an energy-saving control technology for home environment control, in particular to a home environment energy-saving control method based on fuzzy intelligent behavior simulation by means of fuzzy control technology. Background technique [0002] In recent years, the energy saving of home living environment has become an important topic discussed in people's daily life, and energy saving has become an inevitable trend. In real life, skilled housewives can adjust the light in the indoor environment by adjusting the opening and closing of indoor curtains or ceiling curtains according to their life experience, so as to reduce the use of indoor lights and achieve the purpose of energy saving. There are too few people and they are often not at home. The fuzzy intelligent system can effectively simulate the experience of experts, and can convert the natural language experience of skilled operators into a control mathematical model. ...

AI Technical Summary

Problems solved by technology

[0004] (1) There are limitations in modeling nonlinear and complex systems;

[0005] (2) The robustness of the control system is poor, and the external interference and parameter changes have a great influence on the control effect;

[0006] (3) The control mechanism is very complicated, the circuit is bulky, the response speed is slow, and the efficiency is low

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