A data-based energy-saving and comfortable personalized control system and method for indoor environment

Abstract

The invention discloses a data-based personalized control system and a data-based personalized control method for the energy conservation and the comfort of an indoor environment. Data are preprocessed aiming at the parameter information of the indoor environment to obtain real-time data which meet the limiting conditions, the real-time data are stored in a database, a comfort model and an energy consumption model are built according to the real-time data stored in the database and are subjected to energy conservation and comfort temperature coordinated optimization to obtain optimal temperature and humidity values, and a controller controls an air-conditioning temperature and humidity controller to regulate indoor temperature and humidity values until the indoor temperature and humidity values reach the optimal temperature and humidity values. The problem of objective conflict between the comfort and the energy conservation is solved by multi-objective optimization, and the coordinated optimization of the comfort and the energy conservation is realized.

Description

technical field [0001] The invention relates to the technical field of indoor environment comfort and energy saving, in particular to a data-based individualized control system and control method for indoor environment energy saving and comfort. Background technique [0002] With the rapid development of economy and technology, smart buildings and smart homes have not only attracted much attention in developed countries, but also gradually entered people's field of vision in developing countries. People's requirements for indoor environment comfort are increasing. higher. Due to the different members of different rooms, the requirements for temperature and humidity are inconsistent, which leads to the necessity of personalized adjustment of indoor environment comfort. However, the traditional indoor temperature and humidity adjustment method does not consider the individual comfort issue, and it is difficult to meet the individual needs of comfort adjustment. [0003] On t...

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Problems solved by technology

[0004] In order to solve the deficiencies in the existing technology, the present invention discloses a data-based indoor environment energy-saving and comfortable personalized control system and method. This application solves the problem that it is difficult to establish an accurate model for uncertain data in traditional research methods; The model established by the real-time database realizes the personalized control that is not considered in the traditional method; by using the multi-objective optimization method, the best temperature and humidity values ​​are obtained, ensuring the minimum energy consumption under the premise of maximizing the satisfaction of individual comfort; Through the temperature and humidity values ​​obtained through coordination and optimization, the temperature and humidity controllers are adjusted in real time, so as to realize the personalized comfort control and energy saving and consumption reduction of the office environment and home life

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