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

Inactive Publication Date: 2011-10-26
SHENZHEN H&T INTELLIGENT CONTROL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The thermostat is an electrical switching device that controls the temperature of the air-conditioned room. At present, the thermostat extends from the previous simple temperature control to the time-programmable stage, and controls the indoor temperature according to different times. In addition, the temperature control The operation of the device is also becoming more and more user-friendly, such as adding touch control, etc., but adding other components or touch screens to improve human-friendly operation is accompanied by an increase in hardware cost and operation complexity, which will greatly increase The production cost of the thermostat, and the added touch screen and other devices themselves need additional power consumption, which means that the power consumption of the thermostat will be increased when the thermostat is used, and the cost of the thermostat will also be increased in terms of use. It does not conform to the concept of environmental protection. It can be seen that the more complicated the thermostat is, the better.
On the contrary, if the thermostat is too simple, it will not meet the requirements of people to continuously improve the quality of life. The thermostat only has the function of temperature adjustment and air volume adjustment, and the user needs to manually adjust the temperature and air volume respectively. The steps are cumbersome. Before the user adjusts the thermostat, the thermostat will not change the air volume according to the temperature change, the operation is not humanized enough, and energy is wasted

Method used

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  • Low-cost self-study temperature controller and its methods
  • Low-cost self-study temperature controller and its methods
  • Low-cost self-study temperature controller and its methods

Examples

Experimental program
Comparison scheme
Effect test

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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PUM

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Abstract

The invention provides a low-cost self-study temperature controller, comprising a power switch, an adjustment module, a processing module and a self-learning control module, wherein the adjustment module comprises a temperature adjustment unit and an air volume adjustment unit, the processing module uses a micro processor unit to receive and identify the status information of the adjustment module or the self-learning control module, adjust the temperature and air volume and control the self-learning process; the self-learning control module includes self-learning button units which are used for selecting a self-learning control mode; the self-learning control module is connected with the processing module and used for setting the self-learning status. According to the invention, the temperature and air volume of an air-condition room are adjusted automatically by realizing the self-learning process without screen and time input, the temperature and air volume corresponding to the self-learning status are adjusted in all weather by means of a self-learning mode in order to reduce the cost of production and usage, meanwhile, the degree of operation humanization of the temperature controller is promoted, the low-cost self-learning temperature controller is realized, and the operation is simple.

Description

technical field [0001] The invention relates to a temperature controller, in particular to a low-cost self-learning temperature controller and a method thereof. Background technique [0002] The thermostat is an electrical switching device that controls the temperature of the air-conditioned room. At present, the thermostat extends from the previous simple temperature control to the time-programmable stage, and controls the indoor temperature according to different times. In addition, the temperature control The operation of the device is also becoming more and more user-friendly, such as adding touch control, etc., but adding other components or touch screens to improve human-friendly operation is accompanied by an increase in hardware cost and operation complexity, which will greatly increase The production cost of the thermostat, and the added touch screen and other devices themselves need additional power consumption, which means that the power consumption of the thermos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/00
Inventor 叶峰
Owner SHENZHEN H&T INTELLIGENT CONTROL
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