WO2020253463A1 - Air conditioner control method and device, and air conditioner - Google Patents

Abstract

An air conditioner control method and device, and an air conditioner. The air conditioner control method comprises: acquiring label information of clothes in an area where the air conditioner is located; determining clothes quantity information in the area and human body characteristic information according to the label information; determining a predicted mean vote (PMV) index according to the clothes quantity information and the human body characteristic information; and controlling the air conditioner according to the PMV index. The air conditioner control device comprises a label acquisition module (310), an information determination module (320), an index determination module (330), and a control module (340). The air conditioner comprises the air conditioner control device. According to the method, information affecting the PMV index is considered in many aspects, so that the accuracy of the PMV index is improved and the accuracy of air conditioner control is further improved.

Description

Air conditioner control method and device, air conditioner

This application is based on a Chinese patent application with an application number of 201910521873.X and an application date of June 17, 2019, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated into this application by reference.

Technical field

This application relates to the technical field of smart home appliances, such as methods and devices for air conditioning control, and air conditioning.

Background technique

With the improvement of living standards, air conditioners have become a necessity in people's daily life. The air conditioner can be controlled according to the user's set temperature and the ambient temperature. With the development of smart technology, the current air conditioner can also be controlled by the Predicted Mean Vote (PMV) index. Among them, the PMV index is based on the basic equation of human heat balance and the level of psychophysiological subjective heat sensation. Taking into account the comprehensive evaluation index of many related factors of human thermal comfort, the PMV index indicates the average index of the group voting for (+3～-3) seven levels of thermal sensation, namely cold (-3), cool (-2), slightly Cool (-1), neutral (0), slightly warm (1), warm (2), hot (3). After the PMV index is determined, the air conditioner can be controlled according to the PMV index.

At present, PMV control is more based on population information, for example: male, female, old, and young people. Different populations correspond to different human metabolic rates, which will also affect the PMV index and lead to different control strategies. However, it is not only the population information that affects the PMV index, but also some other information. Therefore, in the process of implementing the embodiments of the present disclosure, it is found that there are at least the following problems in the related technologies: considering that the information affecting the PMV index is not comprehensive enough, PMV The index is not very accurate, resulting in insufficient accuracy of air conditioning control.

Summary of the invention

In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not a general comment, nor is it intended to determine key/important constituent elements or describe the protection scope of these embodiments, but serves as a preface to the detailed description that follows.

The embodiments of the present disclosure provide an air conditioner control method, device, and air conditioner to solve the technical problem that the air conditioner control is not precise enough.

In some embodiments, the method includes:

Obtain the label information of the underwear in the area where the air conditioner is located;

According to the tag information, determine the clothing quantity information in the area and the human body characteristic information;

Determine the predicted average thermal sensation vote PMV index according to the clothing amount information and the human body feature information;

According to the PMV index, the air conditioner is controlled.

In some embodiments, the device includes:

The label acquisition module is configured to acquire label information of underwear in the area where the air conditioner is located;

An information determining module, configured to determine clothing quantity information and human body characteristic information in the area according to the tag information;

An index determination module, configured to determine the predicted average thermal sensation vote PMV index according to the clothing amount information and the human body characteristic information;

The control module is configured to control the air conditioner according to the PMV index.

In some embodiments, the air conditioner includes: a device including the above air conditioner control.

The air conditioner control method, device and air conditioner provided by the embodiments of the present disclosure can achieve the following technical effects:

The clothing quantity information in the area where the air conditioner is located can be obtained through the clothing label, as well as the human body characteristic information, and the PMV index can be determined based on this information, so that the PMV index is not only determined based on the crowd information, but the impact is considered in many aspects The information of PMV index improves the accuracy of PMV index and further improves the accuracy of air conditioning control.

The above general description and the following description are only exemplary and explanatory, and are not used to limit the application.

Description of the drawings

One or more embodiments are exemplified by the accompanying drawings. These exemplified descriptions and drawings do not constitute a limitation on the embodiments. Elements with the same reference numbers in the drawings are shown as similar elements. The drawings do not constitute a scale limitation, and among them:

FIG. 1 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure;

2 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure;

3 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure;

4 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure;

Fig. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed ways

In order to have a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The attached drawings are for reference and explanation purposes only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a number of details are used to provide a sufficient understanding of the disclosed embodiments. However, without these details, one or more embodiments can still be implemented. In other cases, in order to simplify the drawings, well-known structures and devices may be simply shown.

In the embodiments of the present disclosure, the PMV index can be determined according to the clothing quantity information in the area where the air conditioner is located, and the human body characteristic information, and the air conditioner can be controlled according to the determined PMV index. In this way, the information affecting the PMV index can be improved The accuracy of the PMV index further improves the accuracy of air conditioning control. Moreover, clothing quantity information, human body feature information, etc. participate in the control of the air conditioner, which further improves the intelligence of the air conditioner and the user experience.

FIG. 1 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure. As shown in Figure 1, the air conditioning control process includes:

Step 101: Obtain the label information of the underwear in the area where the air conditioner is located.

With the development of the Internet of Things technology, clothing is generally equipped with tags that can be recognized by the IoT system. The tags can include a variety of clothing information, such as specification information, material information, color information, etc., so that through the tags, washing machines, smart Smart devices in the Internet of Things such as wardrobes can manage clothes. In the embodiment of the present disclosure, if the above-mentioned identifiable IoT tag is configured on the clothing, the IoT tag can be read and the corresponding tag information can be obtained. If the IoT tags are not configured on the clothing, clothing tags including specification information, material information, and type information may also be configured on the clothing in advance.

In some embodiments, the label information on the clothing label may be composed of binary codes. Table 1 is a code composition format of label information of clothing provided by an embodiment of the present disclosure, that is, the label information has a corresponding preset format.

Code meaning	Specification information	Type information	Color information	Material information	Sub-series information
Binary digits	5	6	5	4	14

Table 1

As shown in Table 1, the binary code in the clothing label has 34 bits, followed by 5 bits of specification information, 6 bits of type information, 5 bits of color information, 4 bits of material information, and 14 bits of sub-series information. . Of course, the format of the label information is not limited to this, and it can also be two-dimensional code information or other format information, as long as the label information including specification information, material information, and type information can be applied in this embodiment.

There may be multiple clothes in the area where the air conditioner is located. Some clothes are worn by people in the area, and some clothes are placed in a closet or other places, or some clothes are washed in a washing machine. Therefore, in the embodiments of the present disclosure, The obtained label information is the label information of the clothing worn by the person. Therefore, obtaining the label information of the underwear in the area where the air conditioner is located includes: obtaining the location information of the current clothing in the area within the set time; when the location information meets the set conditions , Read the current label information of the current clothing.

For example: Obtain the video of the clothing label within the set time through the camera equipment, and identify the location information of the clothing in the video. If the location information has not changed within the set time, the clothing may be in a static state. Therefore, If the set conditions are not met, there is no need to obtain the label information on the clothes. If the location information changes periodically within the set time, it is possible that the clothes are running in the washing machine. At this time, the set conditions are not met, and the label information on the clothes does not need to be obtained. In this way, in some embodiments, if the location information changes irregularly within the set time, it can be determined that the location information meets the set conditions, so that the tag information of the corresponding clothes can be read. Of course, in the embodiments of the present disclosure, the label of a person wearing clothing can also be determined in other ways, for example, a human body sensor, etc., which first determines the human body, and then reads the label information of the corresponding person wearing clothing. The specific examples are not listed one by one. .

Step 102: Determine the clothing quantity information in the area and the human body feature information according to the tag information.

Clothing labels, whether they are IoT labels or other labels that include specification information, material information, and type information, generally have a pre-configured format, that is, a preset format, so that the label information can be read according to the preset format Specification information, category information and material information. If the format of the clothing label is shown in 1, you can get the binary code corresponding to the specification information from the first 5 digits, 6-12 digits, get the binary code corresponding to the type information, and 17-21 digits, you can get the material information corresponding Binary code. Then, the specification information, type information, and material information can be determined according to the information corresponding to each code.

In the embodiments of the present disclosure, the corresponding relationship between the code and the information can be configured in advance, so that the corresponding information can be determined according to the read code. Taking the above 34 as a binary code as an example, after reading the binary code, the corresponding specification information, type information, and material information can be determined according to the stored correspondence relationship.

Table 2 is a corresponding relationship between a binary code and material information provided by an embodiment of the present disclosure.

Serial number	Binary code	Material
1	0000	leather
2	0001	Leather + other fibers
3	0010	PU
4	0011	Wool (normal)
5	0100	Organza
6	0101	Wool (shrinkproof)
7	0110	Cashmere
8	0111	Silk (mulberry silk)
9	1000	Wool + other fibers (blend)
10	1001	Silk (mulberry silk) + other fibers (blend)
11	1010	cotton
12	1011	hemp
13	1100	Chemical fiber
14	1101	Cotton + chemical fiber (blend)
15	1110	denim
16	1111	Keep

Table 2

As shown in Table 2, if digits 17-21 in the label information are 1011, then according to Table 2, the corresponding material information can be determined to be "hemp".

Table 3 is a correspondence between a binary code and type information provided by an embodiment of the present disclosure.

Serial number	Binary code	Types of
1	000000	Leather jacket
2	000001	Leather pants
3	000010	Suit (with lining)
4	000011	Dress

Serial number	Binary code	Types of
5	000100	Wedding dress
6	000101	woolen coat
7	000110	Curtain (with metal ring)
8	000111	Non-woven fabric
9	001000	Cashmere sweater
10	001001	Cashmere pants
11	001010	Wool pants
12	001011	Sweater
13	001100	Suit (Unlined)
14	001101	Trousers
15	001110	Tang suit/Chinese tunic suit
16	001111	cheongsam
17	010000	Half skirt (with accessories)
18	010001	Dress (with accessories)
19	010010	Lace skirt (with accessories)
20	010011	Knitwear (line sweater)
twenty one	010100	Thermal underwear
twenty two	010101	Hole Cowboy
twenty three	010110	Sportswear
twenty four	010111	Sweatpants
25	011000	T shirt
26	011001	jacket
27	011010	shirt
28	011011	Vest
29	011100	Windbreaker
30	011101	Sweater
31	011111	vest
32	100000	jeans
33	100001	jeans
34	100010	casual trousers
35	100011	coat
36	100100	Polo shirt
37	100101	shorts

Serial number	Binary code	Types of
38	100110	Half skirt (no accessories)
39	100111	Dress (no accessories)
40	101000	Lace skirt (no accessories)
41	101001	Cotton
42	101010	Cotton pants
43	101011	Sheets/quilt cover
44	101100	curtain
45	101101	towel
46	101110	bath towel
47	101111	Jackets
48	110000	Down pants
49	110001	Down jacket
50～64	110010-111111	Keep

table 3

As shown in Table 3, if the 6-12 digits in the label information are 100110, then according to Table 3, the corresponding type information can be determined to be "half skirt (no accessories)".

Table 4 shows the correspondence between a binary code and specification information provided by an embodiment of the present disclosure.

Serial number	Binary code	Specification/cm
1	00000	55
2	00001	60
3	00010	65
4	00011	70
5	00100	75
6	00101	80
7	00110	85
8	00111	90
9	01000	95
10	01001	100
11	01010	105
12	01011	110
13	01100	115
14	01101	120
15	01110	125

Serial number	Binary code	Specification/cm
16	01111	130
17	10000	135
18	10001	140
19	10010	145
20	10011	150
twenty one	10100	155
twenty two	10101	160
twenty three	10110	165
twenty four	10111	170
25	11000	175
26	11001	180
27	11010	185
28	11011	190
29	11100	195
30	11101	200
31	11110	210 and above
32	11111	Keep

Table 4

As shown in Table 4, if digits 1-5 in the label information are 00110, then the corresponding specification information can be determined to be "85cm" according to Table 4.

After determining the specification information, category information, and material information of the underwear in the area, the number of people in the area can be determined according to the normal clothing volume, specification information, and category information that match the temperature of the area.

In some embodiments, the temperature in the area where the air conditioner is located is first obtained, and then the normal clothing amount that matches the temperature of the area is determined. For example, in summer from May to August, the temperature is 30°, which is greater than the set temperature of 26°, it can be determined that the normal amount of clothing includes: short sleeves + pants, or summer clothes such as skirts. From November to February in winter, when the temperature is 5°, which is less than 15° of the set temperature, it can be determined that the normal amount of clothing includes: sweaters + pants, or winter clothes such as cotton coats.

Then, the number of people in the area can be determined based on the normal clothing amount, specification information, and category information. For example: specification information and category information include: 1 piece of 160cm short sleeve, 1 piece of 160cm pants, 3 pieces of 170cm short sleeve, 3 pieces of 160cm pants, 1 piece of 165 skirt, you can determine the suitability according to the normal clothing quantity. The number of people in the area is 4.

Of course, in the embodiments of the present disclosure, clothing quantity information can be determined according to the number of people information, specification information, and material information. Among them, the clothing quantity information may include the number of pieces of clothing and the type and specifications, such as "underpants, short sleeves, shorts, socks, sandals", "underpants, knee-length socks, short sleeves, half skirts, and sandals" and so on. In this way, the clothing quantity information can be determined based on the number of clothes of the same specification information, the number of people information, and the material information. Generally, clothes with the same specifications and different materials may be worn by one person, while the same specifications and materials may be worn by multiple people. For example: 4 pieces of 160cm long sleeves, 1 piece of 170cm long sleeves, 4 pieces of 160cm jackets, 1 piece of 170cm jackets, 4 pieces of 160 trousers, 4 pieces of long sleeves, 1 piece of 170cm trousers, and the number of people is 5 , The clothing quantity information can be determined to include: "long sleeves, jackets, long trousers, long pants". If there are 4 pieces of 160cm long sleeves, 2 pieces of 170cm long sleeves, 2 pieces of 160cm jackets, 1 piece of 170cm jackets, 2 pieces of 160 trousers, 2 pieces of long sleeves, 1 piece of 170cm trousers, and the number of people is 3, then Determinable clothing quantity information includes: "long sleeves, long sleeves, jackets, long trousers, trousers".

The human body characteristic information can also be determined based on the specification information and category information. For example, if the specification information is 110cm and the category information is skirt, it can be determined that the human body feature information is: girl, 110cm, etc. That is, the human body feature information includes gender information, height information, and posture information. In some embodiments, some feature information is directly attached to the tag, such as men's clothing, women's clothing, children's clothing, etc., for example, these additional feature information is carried in the sub-series information in the above 34-bit binary tag. The additional feature information in, as well as specification information and category information, determine the human body feature information.

It can be seen that the information about the number of people in the area, the amount of clothing, and the feature information of the human body can be determined based on the tag information.

Step 103: Determine the predicted average thermal sensation voting PMV index according to the clothing quantity information and the human body characteristic information.

In the embodiments of the present disclosure, through experimental research and analysis of human thermal comfort, a modified PMV equation applicable to four types of people (men, women, old and young) in winter and summer is obtained:

Among them: t _sk =c·t _a +d+0.028(m-58.15) (2)

t _cl = t _sk -I _cl {3.96×10 ^-8 f _cl ×[(t _cl +273) ⁴ -(t _r +273) ⁴ ]+f _cl h _c (t _cl -t _a )} (3)

, H _c =2.38(t _cl -t _a ) ^0.25

Time,

When I _cl ≤0.078m ² ·℃/W, f _cl ＝1.00+1.290I _cl

When I _cl >0.078m ² ·℃/W, f _cl ＝1.05+0.645I _cl (5)

Where:

PMV——predict average thermal sensation vote;

a——The thermal sensitivity coefficient;

b——The coefficient of thermal sensation characteristic;

M——Human metabolism rate, W/m ² ;

W——The external mechanical work of the human body, W/m ² ;

t _sk —— average skin temperature, ℃;

c, d-skin temperature regression coefficient;

p _a ——The partial pressure of water vapor, Pa;

t _a ——air temperature, ℃;

f _{cl ——clothing} coverage rate;

t _r ——average radiation temperature, ℃;

h _c ——Convective heat transfer coefficient, W/(m ² ·℃);

I _cl —— clothing thermal resistance, m ² ·℃/W;

v——air velocity, m/s;

H——Relative humidity, %.

Among them, a, b, c, and d are the correction coefficients for Chinese people's thermal sensation characteristics and skin temperature characteristics in this study, and their values are different under different working conditions (people and seasons). The values of a, b, c, d under different working conditions can be saved in advance.

Since the clothing quantity information and the human body feature information have been determined, the thermal resistance value of the clothing corresponding to the clothing quantity information can be determined according to the correspondence between the stored daily clothing combination and the clothing thermal resistance value; and according to the stored population and Correspondence between the human metabolic rate, determine the human metabolic rate corresponding to the human body characteristic information.

Table 5 is the correspondence between a combination of daily clothes and the thermal resistance of the clothes provided by the embodiments of the present disclosure.

Typical daily clothing combination (clothing quantity)	I cl (clo)	I cl (m 2 ·K/W)
Unisex: underwear, T-shirt, shorts, thin socks, sandals	0.3	0.05
Women: panties, petticoats, knee-length stockings, sleeved blouses, sandals	0.45	0.07
Unisex: underwear, short-sleeved shirt, thin trousers, thin socks, shoes	0.5	0.08
Women: underwear, knee-length stockings, short-sleeved shirts, skirts, sandals	0.55	0.085
Unisex: underwear, shirt, lightweight trousers, socks, shoes	0.6	0.095
Women: panties, petticoats, knee-length stockings, dresses, shoes	0.7	0.105
Unisex: underwear, shirts, trousers, socks, shoes	0.7	0.11
Unisex: underwear, sports suits (knitwear and sweatpants), stockings, running shoes	0.8	0.12
Women: panties, shirts, round neck sweaters, half-pipes, shoes	0.9	0.14
Unisex: panties, tank tops, shirts, trousers, V-neck sweaters, socks, shoes	0.95	0.145
Unisex: underwear, shirts, trousers, jackets, socks, shoes	1	0.155
Women: underwear, knee-length stockings, shirts, skirts, vests, jackets	1	0.155
Women: underwear, knee-length stockings, blouses, long skirts, jackets, shoes	1.1	0.17
Unisex: underwear, tank tops, shirts, trousers, jackets, socks, shoes	1.1	0.17
Unisex: underwear, tank tops, shirts, trousers, vests, jackets, socks, shoes	1.15	0.18

Neutral: Qiuyi long trousers, shirts, trousers, V-neck sweaters, jackets, socks, shoes	1.3	0.2
Neutral: Qiuyi long trousers, shirts, trousers, vests, jackets, coats, socks, shoes	1.5	0.23

table 5

Since the clothing quantity information, human body characteristic information, etc. have been determined, the corresponding clothing thermal resistance I _cl (m ² ·°C/W) can be determined according to the corresponding relationship shown in Table 5; for example, the human body characteristic information is female, and The clothing quantity information is "underpants, knee-length socks, short sleeves, half skirts, and sandals", so that I _cl is determined to be 0.085m ² ·°C/W according to Table 5.

Table 6 is a correspondence relationship between population and human metabolic rate provided by the embodiments of the present disclosure.

Table 6

Since the human body characteristic information has been determined, the corresponding human metabolic rate M can be determined according to the corresponding relationship shown in Table 6. For example, if the human body characteristic information is a child, the human metabolic rate M can be determined to be 64W/ m ² .

Information such as clothing thermal resistance and human metabolic rate has been determined, and the values of a, b, c, d can also be determined, and other parameter values can be obtained, such as: air temperature, relative humidity, air flow rate, average radiation temperature And so on, you can determine the corresponding PMV index based on the above formula.

Of course, it is also possible to consider the activity information of the human body when determining the PMV index, so as to further improve the accuracy of the PMV index. That is, the human body activity information in the area is obtained; then, according to the correspondence between the stored population, posture activity information and the human metabolic rate, the human metabolic rate that matches the human body characteristic information and the human body activity information is determined.

Table 7 is a correspondence relationship between the population, posture activity information, and human metabolic rate provided by the embodiments of the present disclosure.

If the obtained human body activity information is sitting and physical activity, and the human body characteristic information is an adult female, then according to Table 7, the human metabolic rate M can be determined to be 66.17W/m ² . Thus, according to the thermal resistance value of the clothing, the human metabolic rate, and other parameters, the corresponding PMV index is determined through the above formula. There are many ways to obtain human activity information, such as: obtaining the image of the area where the air conditioner is located, performing image recognition, or obtaining the corresponding human body through the exercise pedometer device worn by the human body, through communication with the exercise pedometer device Event information.

Table 7

Step 104: Control the air conditioner according to the PMV index.

At present, the air conditioner has a PMV control mode. Once the PMV index is determined, the corresponding PMV control mode can be operated.

It can be seen that in the embodiments of the present disclosure, the number of people in the air-conditioning area, the amount of clothing, and the body characteristics information can be obtained through the tags of the clothes, and the PMV index can be determined based on these information, so that it is not only based on the crowd information. To determine the PMV index, the information that affects the PMV index is considered in many aspects, which improves the accuracy of the PMV index and further improves the accuracy of air conditioning control.

The operation procedures are assembled into specific embodiments below to illustrate the air conditioning control method provided by the embodiments of the present invention.

In this embodiment, the label information on the clothing label can be composed of a 34-bit binary code, as shown in Table 1, and Tables 2-7 are stored in advance.

FIG. 2 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure. As shown in Figure 2, the air conditioning control process includes:

Step 201: Obtain the position information of the underwear in the area where the air conditioner is located within the set time.

Step 202: Determine a piece of clothing as the current clothing.

Step 203: Determine whether the location information of the current clothes meets the set conditions? If yes, go to step 204; otherwise, go to step 205.

Step 204: Obtain the label information of the current clothes. Go to step 205.

Step 205: Determine whether all clothes have been determined as current clothes? If yes, go to step 206, otherwise, go back to step 202.

Step 206: According to the preset format, read the specification information, category information and material information from the label information.

According to the preset format, the corresponding binary code is read from the label information, and the corresponding material information, category information and specification information can be determined according to the saved Table 2, Table 3, and Table 4 respectively.

Step 207: Determine the number of people in the area according to the normal clothing amount, specification information, and category information that match the temperature of the area.

Step 208: Determine clothing quantity information according to the quantity of the same specification information, the number of people information, and the material information.

Step 209: Determine human body characteristic information according to the specification information and the category information.

Step 210: Determine the clothing thermal resistance value corresponding to the clothing quantity information according to the correspondence between the stored daily clothing combination and the clothing thermal resistance value.

The corresponding relationship between the stored daily clothes combination and the clothes thermal resistance value can be as shown in Table 5, so that the clothes thermal resistance value corresponding to the clothes quantity information can be determined.

Step 211: Determine the human metabolic rate corresponding to the human body characteristic information according to the stored correspondence between the population and the human metabolic rate.

The corresponding relationship between the stored population and the metabolic rate of the human body can be shown in Table 6, so that the human metabolic rate corresponding to the human body characteristic information can be determined.

Step 212: Acquire environmental information parameters.

Here, the environmental information parameters may include: air temperature, relative humidity, air flow rate, average radiation temperature, and so on. The air conditioner generally corresponds to various environmental monitoring sensors, and the corresponding environmental information parameters can be obtained through the corresponding sensors. Or, these environmental information parameters also need to be acquired during the current air-conditioning control process, and the specific acquisition methods can be applied to this, and will not be described in detail.

Step 213: Determine the predicted average thermal sensation voting PMV index according to the clothing thermal resistance value, human metabolic rate and environmental information parameters.

The saved values of a, b, c, and d under different working conditions can be shown in Table 8.

Table 8

The corresponding values of a, b, c, and d can be determined according to the temperature parameters and the human body characteristic information through Table 8. Then, according to the thermal resistance value of the clothing, the human metabolic rate, the environmental information parameters, and the values of a, b, c, and d, the PMV index is determined by the above formula.

Step 214: Control the air conditioner according to the PMV index.

At present, the air conditioner has a PMV control mode. Once the PMV index is determined, the corresponding PMV control mode can be operated.

It can be seen that in this embodiment, the clothing quantity information in the area where the air conditioner is located and the human body characteristic information can be obtained through the clothing label, and the PMV index can be determined based on this information, so that the PMV index is not only determined based on the crowd information , But consider the information that affects the PMV index in many aspects, which improves the accuracy of the PMV index and further improves the accuracy of air conditioning control.

According to the above air conditioning control process, an air conditioning control device can be constructed.

Fig. 3 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure. As shown in FIG. 3, the air-conditioning control device includes: a tag acquisition module 310, an information determination module 320, an index determination module 330, and a control module 340.

The label obtaining module 310 is configured to obtain label information of underwear in the area where the air conditioner is located;

The information determining module 320 is configured to determine the clothing amount information in the area and the human body characteristic information according to the tag information;

The index determining module 330 is configured to determine the predicted average thermal sensation voting PMV index according to the clothing amount information and the human body characteristic information;

The control module 340 is configured to control the air conditioner according to the PMV index.

In some embodiments, the tag acquisition module 310 includes:

The acquiring unit is configured to acquire the position information of the current clothes in the area within the set time.

The reading unit is configured to read the current tag information of the current clothes when the position information is changed.

In some embodiments, the information determining module 320 includes:

The information reading unit is configured to read specification information, category information and material information from the label information according to a preset format.

The number of people determining unit is configured to determine the number of people in the area based on the normal clothing amount, specification information, and category information that match the temperature of the area.

The clothing quantity determining unit is configured to determine clothing quantity information based on the number of people information, specification information, and material information.

The feature determining unit is configured to determine human body feature information according to specification information and category information, where the human body feature information includes gender information, height information, and posture information.

In some embodiments, the index determination module 320 includes:

The thermal resistance determining unit is configured to determine the thermal resistance value of the clothing corresponding to the clothing quantity information according to the correspondence between the stored daily clothing combination and the thermal resistance value of the clothing;

The metabolism determining unit is configured to determine the human metabolic rate corresponding to the human body characteristic information according to the stored correspondence between the population and the human metabolic rate;

The index determination unit is configured to determine the predicted average thermal sensation voting PMV index according to the thermal resistance value of the clothing and the human metabolic rate.

In some embodiments, the metabolism determining unit is further configured to obtain human body activity information in the area; according to the stored correspondence between the population, posture activity information and the human metabolic rate, determine the match with the human body characteristic information and the human body activity information The human metabolic rate.

The following examples illustrate the air conditioning control device provided by the embodiment of the present invention.

Fig. 4 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure. As shown in FIG. 4, the air conditioning control device includes: a tag acquisition module 310, an information determination module 320, an index determination module 330, and a control module 340. The information determining module 320 may include: an information reading unit 321, a number determining unit 322, a clothing amount determining unit 323, and a feature determining unit 324, and the index determining module 330 includes a thermal resistance determining unit 331, a metabolism determining unit 332, and an index Determine unit 333.

In this embodiment, the label information on the clothing label can be composed of binary codes, as shown in Table 1, and the air-conditioning control device prestores Tables 2-7.

The label acquisition module 310 acquires label information of underwear in the area where the air conditioner is located. In this way, the information reading unit 321 in the information determining module 320 can read the corresponding binary code from the tag information according to the preset format, and can determine the corresponding material information according to the saved Table 2, Table 3, and Table 4 respectively. , Category information and specification information.

The number determining unit 322 may first determine the normal clothing amount that matches the temperature of the area, and then determine the number of people information in the area according to the normal clothing amount, specification information, and category information. The clothing quantity determining unit 323 can determine the clothing quantity information based on the quantity of the same specification information, the number of people information, and the material information. The feature determination unit 324 determines the human body feature information based on the specification information and the category information.

In this way, the thermal resistance determining unit 331 in the index determining module 330 can determine the thermal resistance value of the clothing corresponding to the clothing quantity information according to the correspondence between the daily clothing combination and the thermal resistance value of the clothing stored in Table 5. The metabolism determining unit 332 can determine the human metabolic rate corresponding to the human body feature information according to the correspondence between the population and the human metabolic rate stored in Table 6. The index determination module 330 may also obtain environmental information parameters, and determine the values of a, b, c, and d corresponding to the temperature parameters and the human body characteristic information according to Table 8. Among them, the environmental information parameters may include: air temperature, relative humidity, air flow rate, average radiation temperature, and so on. In this way, the index determining unit 333 can determine the PMV index according to the thermal resistance value of the clothing, the human metabolic rate, the environmental information parameters, and the values of a, b, c, and d through the above formula.

Therefore, the control module 340 can control the air conditioner according to the PMV index.

It can be seen that in this embodiment, the air conditioner control device can obtain the clothing quantity information in the area where the air conditioner is located and the human body feature information through the clothing label, and can determine the PMV index based on this information, so that it is not only based on the crowd information To determine the PMV index, the information that affects the PMV index is considered in many aspects, which improves the accuracy of the PMV index and further improves the accuracy of air conditioning control.

An embodiment of the present disclosure provides an air conditioner, including the above-mentioned air conditioner control device.

The embodiment of the present disclosure provides a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are configured to execute the aforementioned air conditioning control method.

The embodiments of the present disclosure provide a computer program product, the computer program product includes a computer program stored on a computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer program The computer executes the above air conditioning control method.

The aforementioned computer-readable storage medium may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.

The embodiment of the present disclosure provides an electronic device, the structure of which is shown in FIG. 5, and the electronic device includes:

At least one processor (processor) 100, one processor 100 is taken as an example in FIG. 5; and a memory (memory) 101 may also include a communication interface (Communication Interface) 102 and a bus 103. Among them, the processor 100, the communication interface 102, and the memory 101 can communicate with each other through the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can call the logic instructions in the memory 101 to execute the air conditioning control method of the foregoing embodiment.

In addition, the above-mentioned logic instructions in the memory 101 can be implemented in the form of software functional units and when sold or used as independent products, they can be stored in a computer readable storage medium.

As a computer-readable storage medium, the memory 101 can be used to store software programs and computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by running software programs, instructions, and modules stored in the memory 101, that is, realizes the air conditioning control method in the foregoing method embodiment.

The memory 101 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application program required for a function; the data storage area may store data created according to the use of the terminal device. In addition, the memory 101 may include a high-speed random access memory, and may also include a non-volatile memory.

The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which can be a personal computer, a server, or a network). Equipment, etc.) execute all or part of the steps of the method described in the embodiments of the present disclosure. The aforementioned storage medium may be a non-transitory storage medium, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc. A medium that can store program codes, or it can be a transient storage medium.

The above description and drawings fully illustrate the embodiments of the present disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. The embodiments only represent possible changes. Unless explicitly required, individual components and functions are optional, and the order of operations can be changed. Parts and features of some embodiments may be included in or substituted for parts and features of other embodiments. The scope of the embodiments of the present disclosure includes the entire scope of the claims and all available equivalents of the claims. When used in this application, although the terms "first", "second", etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, without changing the meaning of the description, the first element can be called the second element, and likewise, the second element can be called the first element, as long as all occurrences of the "first element" are renamed consistently and all occurrences "Second component" can be renamed consistently. The first element and the second element are both elements, but they may not be the same element. Moreover, the terms used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates otherwise, the singular forms of "a" (a), "one" (an) and "the" (the) are intended to also include plural forms . Similarly, the term "and/or" as used in this application refers to any and all possible combinations of one or more of the associated lists. In addition, when used in this application, the term "comprise" (comprise) and its variants "comprises" and/or including (comprising) and the like refer to the stated features, wholes, steps, operations, elements, and/or The existence of components does not exclude the existence or addition of one or more other features, wholes, steps, operations, elements, components, and/or groups of these. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other same elements in the process, method, or device that includes the element. In this article, each embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments can be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method parts disclosed in the embodiments, then the related parts can be referred to the description of the method parts.

Those skilled in the art may be aware that the units and algorithm steps of the examples described in the embodiments disclosed in this specification can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software may depend on the specific application and design constraint conditions of the technical solution. The technicians may use different methods for each specific application to realize the described functions, but such realization should not be considered as going beyond the scope of the embodiments of the present disclosure. The technical personnel can clearly understand that, for the convenience and conciseness of the description, the specific working process of the above-described system, device, and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) may be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units may only be a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined. Or it can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection between devices or units through some interfaces, and may be in electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units can be selected to implement this embodiment according to actual needs. In addition, in the implementation of this disclosure

The functional units in the example can be integrated into one processing unit, or each unit can exist alone physically, or two or more units can be integrated into one unit.

The flowcharts and block diagrams in the drawings show the possible implementation architecture, functions, and operations of the system, method, and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, program segment, or part of the code, and the module, program segment, or part of the code contains one or more functions for realizing the specified logical function. Executable instructions. In some alternative implementations, the functions marked in the block may also occur in a different order from the order marked in the drawings. For example, two consecutive blocks can actually be executed in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the drawings, the operations or steps corresponding to different blocks can also occur in a different order than that disclosed in the description, and sometimes there is no specific operation or step between different operations or steps. order. For example, two consecutive operations or steps can actually be performed substantially in parallel, and they can sometimes be performed in the reverse order, depending on the functions involved. Each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by dedicated hardware Realized in combination with computer instructions.

Claims (10)

1. A method for air conditioning control, characterized in that it comprises:

   Obtain the label information of the underwear in the area where the air conditioner is located;

   According to the tag information, determine the clothing quantity information in the area and the human body characteristic information;

   Determine the predicted average thermal sensation vote PMV index according to the clothing amount information and the human body feature information;

   According to the PMV index, the air conditioner is controlled.
2. The method according to claim 1, wherein said obtaining label information of underwear in the area where the air conditioner is located comprises:

   Acquiring position information of current clothes in the area within a set time;

   When the location information meets the set condition, read the current tag information of the current clothing.
3. The method according to claim 1, wherein the determining the clothing quantity information and the human body characteristic information in the area comprises:

   According to a preset format, read specification information, category information, and material information from the label information;

   Determining information on the number of people in the area according to the normal clothing amount that matches the temperature of the area, the specification information, and the category information;

   Determine clothing quantity information according to the number of people information, the specification information, and the material information;

   The human body characteristic information is determined according to the specification information and the category information, where the human body characteristic information includes gender information, height information, and posture information.
4. The method according to claim 1, wherein the determining the predicted average thermal sensation vote PMV index comprises:

   Determining the clothing thermal resistance value corresponding to the clothing quantity information according to the correspondence between the stored daily clothing combination and the clothing thermal resistance value;

   Determine the human metabolic rate corresponding to the human characteristic information according to the stored correspondence between the population and the human metabolic rate;

   According to the thermal resistance value of the clothing and the human metabolic rate, the predicted average thermal sensation voting PMV index is determined.
5. The method according to claim 4, wherein the determining the human metabolic rate corresponding to the human characteristic information further comprises:

   Acquiring human body activity information in the area;

   According to the stored correspondence between the population, posture activity information and the human metabolic rate, the human metabolic rate matching the human body characteristic information and the human body activity information is determined.
6. An air conditioner control device, characterized in that it comprises:

   The label acquisition module is configured to acquire label information of underwear in the area where the air conditioner is located;

   An information determining module, configured to determine clothing quantity information and human body characteristic information in the area according to the tag information;

   An index determining module, configured to determine a predicted average thermal sensation voting PMV index according to the clothing amount information and the human body characteristic information;

   The control module is configured to control the air conditioner according to the PMV index.
7. The device according to claim 6, wherein the tag acquisition module comprises:.

   An acquiring unit configured to acquire position information of the current clothes in the area within a set time;

   The reading unit is configured to read the current tag information of the current clothes when the location information is changed.
8. The device according to claim 6, wherein the information determining module comprises:

   The information reading unit is configured to read specification information, category information and material information from the label information according to a preset format;

   The number of people determining unit is configured to determine the number of people in the area according to the normal clothing amount matching the temperature of the area, the specification information, and the category information;

   A clothing quantity determining unit configured to determine clothing quantity information according to the number of people information, the specification information, and the material information;

   The feature determining unit is configured to determine human body feature information based on the specification information and category information, where the human body feature information includes gender information, height information, and posture information.
9. The apparatus according to claim 6, wherein the index determining module comprises:

   The thermal resistance determining unit is configured to determine the thermal resistance value of the clothing corresponding to the clothing quantity information according to the correspondence between the stored daily clothing combination and the thermal resistance value of the clothing;

   The metabolism determining unit is configured to determine the human metabolic rate corresponding to the human body characteristic information according to the stored correspondence between the population and the human metabolic rate;

   The index determining unit is configured to determine the predicted average thermal sensation voting PMV index according to the thermal resistance value of the clothing and the human metabolic rate.
10. An air conditioner, characterized by comprising the device according to any one of claims 6 to 9.

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