Energy conservation type heat comfortable controller and control method

Abstract

The present invention discloses an energy-saving thermal comfort controller and a control method for heating, ventilating and air-conditioning systems based on thermal comfort index, energy-saving control and neural network arithmetic. Wherein, the controller calculates and displays thermal comfort index based on air temperature, humidity, wind speed, radioactive temperature and user activity details and wearing details. The air temperature and humidity are measured by a sensor. The radioactive temperature is equivalent to the air temperature. The wind speed is obtained by calculating input power of a fan. User activity details and wearing details are defined by users themselves or conform to default values. The energy-saving control method divides heating, ventilating and air-conditioning system into three operating phases, viz. quick refrigerating / heating, comfortable operation and energy-saving operation and provides corresponding set comfort index. In addition, the neural network arithmetic conducts calculation and outputs control signals according to difference between set comfort index and actual index to control the heating, ventilating and air-conditioning system respectively through a AC and a DC drive circuit, thus realizing the highest comfort and the lower energy consumption.

Description

technical field [0001] The present invention generally relates to a controller and a control method of an indoor climate change device, in particular to a controller and a control method for an HVAC system, so as to provide users with satisfactory energy-saving thermal comfort control effects. Background technique [0002] At present, HVAC systems have been widely used in daily work and life. The controller of the existing HVAC system usually adopts the constant temperature control method, that is, the user first sets the temperature value and the fan gear, and then adopts the on-off control mode, the proportional-integral control mode or the currently popular fuzzy control mode to control the temperature. The indoor temperature is adjusted, and some advanced or large-scale equipment also adjusts the indoor humidity at the same time. When the indoor air temperature is adjusted to the set value or a certain range, the HVAC system stops cooling / heating, and only the fan conti...

AI Technical Summary

Problems solved by technology

However, the disadvantages of the above-mentioned patents or patent applications are that multiple sensors are used to measure air temperature, humidity, radiation temperature, wind speed and human activity status, etc., and the cost is relatively high

The clothing situation is predicted by the system itself, and the user cannot choose, and the flexibility is low

At the same time, because the thermal comfort index PMV value is only controlled within a certain range, and no energy-saving strategy is designed, it is impossible to further reduce system energy consumption

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