Variable-weight multi-model comprehensive prediction central air conditioner terminal air output control method

Abstract

The invention relates to a variable-weight multi-model comprehensive prediction central air conditioner terminal air output control method. The method comprises the steps that monitoring parameters are obtained; prediction is conducted by adopting a preset model according to the monitoring parameters to obtain a multi-model prediction result; variable-weight processing is conducted based on the multi-model prediction result to obtain a comprehensive prediction value; and the air output of a central air conditioner terminal is adjusted according to the comprehensive prediction value. Accordingto the method, central air conditioner terminal air output control based on variable-weight multi-model comprehensive prediction is adopted, the comprehensive prediction value serves as an indoor thermal comfort evaluation index, it can be guaranteed that a single thermal comfort prediction model with high precision is dynamically endowed with a high weight value within different thermal environment variable value areas when the indoor thermal environment changes, therefore, the prediction precision of the variable-weight comprehensive prediction model is improved, the air output state of thecentral air conditioner terminal is reasonably adjusted, and the comfort of the indoor thermal environment is improved.

Description

technical field [0001] The invention relates to the field of central air-conditioning control, and more specifically, relates to a method for controlling air supply at the end of a central air-conditioning system by comprehensively predicting variable weight and multiple models. Background technique [0002] The air supply adjustment at the end of the central air-conditioning system can dynamically adjust the air supply parameters according to the changes in the indoor environment to ensure that the indoor environment is maintained within a reasonable range. Conventional air conditioner terminal control adjusts the operating frequency of the fan according to the difference between the indoor temperature and the set temperature, and then changes the air supply parameters. The advantage of this method is that the control is simple, but since the temperature sensed by the end of the air-conditioning room is generally the return air temperature rather than the temperature of the...

AI Technical Summary

Problems solved by technology

[0003] However, the prediction of human thermal comfort response is a complex process, which is affected by many factors, and there are certain limitations in using these single models to control the air-conditioning terminal

For example, the PMV model is usually only suitable for thermal environments with stable indoor parameters and uniform distribution around the human body, neither for unsteady thermal environments, nor for thermal environments with uneven parameters around the human body

The Adaptive thermal comfort model only considers the relationship between the comfortable temperature and the outdoor temperature, and does not consider the physical heat transfer process between people and the environment, nor can it reflect the effects of other factors

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