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Automatic control method of indoor environment comfort level

An indoor environment and comfort technology, applied in heating and ventilation control systems, heating methods, household heating, etc., can solve problems such as difficult to meet the real-time control of air-conditioning systems, complex calculations, and inability to determine in real time, achieving small errors , fast convergence and high effectiveness

Inactive Publication Date: 2012-07-11
SOUTH CHINA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

The existing technology mainly uses parameters such as air temperature, humidity, wind speed, and average radiation temperature to perform repeated iterative calculations to determine the SET* index based on the influence of parameters such as air temperature, humidity, wind speed, and average radiation temperature on the temperature and humidity of human skin. The calculation is complicated and cannot be determined in real time. control requirements

Method used

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Embodiment Construction

[0017] The implementation of the present invention will be further described below in conjunction with the examples, but the implementation of the present invention is not limited thereto.

[0018] A method for building a model based on indoor environment comfort, comprising the following steps:

[0019] 1) Collect current actual environmental data as sample data;

[0020] 2) Using sample data to establish a three-layer feed-forward BP neural network model;

[0021] 3) Use model-based predictive control to set the optimal value and range of SET* indicators;

[0022] 4) Air-conditioning system control: Combine the optimal value and range of SET* indicators to process the current data collected in real time, generate signals to control the air-conditioning system, and realize automatic control of indoor comfort.

[0023] The environmental data in step 1) include indoor temperature, relative humidity, average radiant temperature, and wind speed, as well as outdoor temperature, ...

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Abstract

The invention relates to the technical field of indoor environment regulation, and provides an automatic control method of the indoor environment comfort level. According to the method, a three-layer BP (back-propagation) neural network is selected as a model. The method comprises the following steps of: 1), collecting the current actual environment data as sample data; 2), building the model by the sample data based on the three-layer feed-forward BP neural network; 3), setting an optimal value and a range of an SET* index by using model-based prediction and control; 4), controlling an air-conditioning system, combining with the optical value and the range of the SET* index to process the current data collected in real time, and generating a signal for controlling the air-conditioning system, so as to realize real-time control of an environment control device. According to the automatic control method, the defect of complicated iterative operation in the traditional model is overcome; the convergence rate is increased by an improved L-M algorithm, and the prediction mode has high validity and small error.

Description

technical field [0001] The invention belongs to the technical field of indoor environment regulation, and in particular relates to an automatic control method for indoor environment comfort. Background technique [0002] In modern society, people spend more than 85% of their time indoors. The quality of the indoor environment has a direct impact on the physical and mental health, comfort and work efficiency of the human body. Therefore, people's requirements for the environment are getting higher and higher. At present, the SET* index (standard effective temperature) of the ASHRAE standard is widely used based on the two-node model theory of human body temperature regulation, and the comprehensive thermal comfort index is obtained by analyzing the physical process of human body heat transfer to predict the thermal response of the human body in a thermal environment , to measure and control the indoor environment comfort. [0003] The SET* index is a thermal comfort index ba...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00
Inventor 陈渊睿李婷王亚兰张祥罗许厚鹏
Owner SOUTH CHINA UNIV OF TECH
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