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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 increasing the cost of thermostats, complicating thermostats, and wasting energy, so as to reduce production and use costs, and achieve low-cost self-learning thermostats. Learn the thermostat and improve the effect of humanized operation

Inactive Publication Date: 2013-09-25
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 Using a 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 air volume, and controls the self-learning process; the self-learning control module in this example includes a self-learning button unit. The self-learning key unit is used to select a self-learning control mode; the self-learning control module is connected to the processing module and is used to set the self-learning state.

[0056] Among them, the microprocessor unit is a central processing unit composed of integrated circuits, which is used to receive and iden...

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] Among them, the memory key unit and the memory unit are respectively connected to the microprocessor unit to complete the self-learning process. After pressing the memory button of the memory key unit, the microprocessor unit receives a self-learning memory signal and responds to 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 number, switch status, FAN status, self-learning status, temperature setting and Time self-learning data, a total of 32 bits.

[0062] In this example, each piece of data is 4 bits, and the memory button is...

Embodiment 3

[0065] Such as image 3 As shown, the difference from Embodiment 2 is that the processing module in this example further includes a fuzzy estimation unit and a relay unit. The fuzzy estimation unit calculates the advance based on the self-learning data, and the advance is used to control the relay unit in advance.

[0066] The fuzzy estimation unit in this example calculates the advance amount based on the self-learning data. The user sets the temperature and air volume for the first time, or after the self-learning state is selected through the self-learning control module, the present invention records the set temperature, air volume, and achieved Over time, a total of 4 sets of self-learning data were recorded, and 4 analyses were done accordingly. Through these 4 times of analysis, the temperature, air volume and their rate of change are obtained, and the heat capacity of the corresponding air-conditioned room is calculated according to the rate of change, and finally an advan...

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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 electric switch device that controls the temperature of an air-conditioned room. At present, the thermostat has extended from the simple temperature control to the time-programmable stage, which controls the indoor temperature according to different times. In addition, temperature control The operation of the device is becoming more and more humanized, such as adding touch control, etc., but other components or touch screens are constantly added to improve the humanized operation. The accompanying increase in hardware cost and operation complexity will greatly increase The production cost of the thermostat, and the added touch screen and other devices themselves need extra power consumption, which means that it will increase the power consumption of the thermostat when it...

Claims

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Application Information

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