Low-cost self-study temperature controller and its methods
A self-learning method and self-learning technology, applied in the field of low-cost self-learning thermostats, can solve problems such as the complexity of thermostats, increase the cost of thermostats, waste energy, etc., achieve low-cost self-learning thermostats, reduce Reduce production and use costs, improve the effect of humanized operation
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Embodiment 1
[0055] Such as figure 1 As shown, this example provides a low-cost self-learning thermostat, including a power switch and an adjustment module. The adjustment module includes a temperature adjustment unit and an air volume adjustment unit, and also includes a processing module and a self-learning control module. The processing module Adopt the microprocessor unit, the microprocessor unit receives and recognizes the status information of the adjustment module or the self-learning control module, adjusts the temperature and the air volume, and controls the self-learning process; the self-learning control module described in this example includes a self-learning button unit, the described The self-learning button unit is used for selecting the self-learning control mode; the self-learning control module is connected with the processing module and used for setting the self-learning state.
[0056]Among them, the microprocessor unit is a central processing unit composed of integrat...
Embodiment 2
[0060] Such as figure 2 As shown, the difference from Embodiment 1 is that the self-learning control module uses a memory key unit and a memory unit, the memory key unit is used to control the start of the self-learning process, and the memory unit is used to store self-learning data.
[0061] Wherein, the memory key unit and the memory unit are respectively connected with the microprocessor unit for completing the self-learning process. After pressing the memory key of the memory key unit, the microprocessor unit receives a memory signal of self-learning, and the air conditioner The air volume and temperature of the room are controlled, and the microprocessor unit will use the memory unit to record the currently set self-learning data. The self-learning data includes serial number, switch status, FAN status, self-learning status, temperature setting value and Time self-learning data, a total of 32bit.
[0062] In this example, each piece of data is 4bit, and the memory key ...
Embodiment 3
[0065] Such as image 3 As shown, different from Embodiment 2, the processing module in this example further includes a fuzzy calculation unit and a relay unit, the fuzzy calculation unit calculates an advance amount according to the self-learning data, and the advance amount is used to control the relay unit in advance.
[0066] The fuzzy calculation unit described in this example calculates the advance amount according to the self-learning data, and the user sets the temperature and air volume for the first time, or after selecting the self-learning state through the self-learning control module, the present invention records the set temperature, air volume and achieved Time, a total of 4 sets of self-learning data were recorded, and 4 analyzes were performed accordingly. The temperature, air volume and their rate of change are obtained through these 4 analyzes, and the heat capacity of the corresponding air-conditioned room is calculated according to the rate of change, and...
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