WO2020253463A1 - Procédé et dispositif de commande de dispositif de conditionnement d'air, et dispositif de conditionnement d'air - Google Patents

Procédé et dispositif de commande de dispositif de conditionnement d'air, et dispositif de conditionnement d'air Download PDF

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Publication number
WO2020253463A1
WO2020253463A1 PCT/CN2020/091687 CN2020091687W WO2020253463A1 WO 2020253463 A1 WO2020253463 A1 WO 2020253463A1 CN 2020091687 W CN2020091687 W CN 2020091687W WO 2020253463 A1 WO2020253463 A1 WO 2020253463A1
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Prior art keywords
information
clothing
air conditioner
human body
area
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PCT/CN2020/091687
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English (en)
Chinese (zh)
Inventor
张桂芳
陈栋
丁威
王世欣
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青岛海尔空调器有限总公司
海尔智家股份有限公司
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Publication of WO2020253463A1 publication Critical patent/WO2020253463A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/20—Feedback from users

Definitions

  • This application relates to the technical field of smart home appliances, such as methods and devices for air conditioning control, and air conditioning.
  • the air conditioner can be controlled according to the user's set temperature and the ambient temperature.
  • the current air conditioner can also be controlled by the Predicted Mean Vote (PMV) index.
  • 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.
  • 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.
  • 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.
  • the method includes:
  • the tag information determine the clothing quantity information in the area and the human body characteristic information
  • the air conditioner is controlled.
  • 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.
  • 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.
  • FIG. 1 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic flowchart of an air conditioning control method provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure.
  • FIG. 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • a human body sensor etc.
  • 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.
  • 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.
  • 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.
  • Table 3 is a correspondence between a binary code and type information provided by an embodiment of the present disclosure.
  • 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.
  • 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.
  • 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.
  • the number of people in the area can be determined based on the normal clothing amount, specification information, and category information.
  • 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.
  • clothing quantity information can be determined according to the number of people information, specification information, and material information.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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)
  • M Human metabolism rate, W/m 2 ;
  • W The external mechanical work of the human body, W/m 2 ;
  • 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.
  • 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
  • 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
  • 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.
  • 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 .
  • 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.
  • the human metabolic rate M can be determined to be 66.17W/m 2 .
  • the thermal resistance value of the clothing, the human metabolic rate, and other parameters the corresponding PMV index is determined through the above formula.
  • 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.
  • Step 104 Control the air conditioner according to the PMV index.
  • the air conditioner has a PMV control mode. Once the PMV index is determined, the corresponding PMV control mode can be operated.
  • 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.
  • 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 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.
  • 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.
  • 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 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.
  • the air conditioner has a PMV control mode. Once the PMV index is determined, the corresponding PMV control mode can be operated.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Fig. 4 is a schematic structural diagram of an air conditioning control device provided by an embodiment of the present disclosure.
  • 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.
  • 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.
  • 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.
  • 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.
  • the environmental information parameters may include: air temperature, relative humidity, air flow rate, average radiation temperature, and so on.
  • 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.
  • control module 340 can control the air conditioner according to the PMV index.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 .
  • the term “and/or” as used in this application refers to any and all possible combinations of one or more of the associated lists.
  • 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.
  • 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.
  • 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.
  • the disclosed methods and products may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • 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.
  • 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.
  • 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 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.

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

La présente invention concerne un procédé et un dispositif de commande de dispositif de conditionnement d'air, ainsi qu'un dispositif de conditionnement d'air. Le procédé de commande de dispositif de conditionnement d'air consiste à : acquérir des informations d'étiquette de vêtements dans une zone où se trouve le dispositif de conditionnement d'air ; déterminer des informations de quantité de vêtements dans la zone et des informations de caractéristiques de corps humain selon les informations d'étiquette ; déterminer un indice de vote moyen prévisible (PMV) selon les informations de quantité de vêtements et les informations de caractéristiques de corps humain ; et commander le dispositif de conditionnement d'air selon l'indice PMV. Le dispositif de commande de dispositif de conditionnement d'air comprend un module d'acquisition d'étiquette (310), un module de détermination d'informations (320), un module de détermination d'indice (330) et un module de commande (340). Le dispositif de conditionnement d'air comprend le dispositif de commande de dispositif de conditionnement d'air. Selon le procédé, des informations affectant l'indice PMV sont considérées sous de nombreux aspects, de telle sorte que la précision de l'indice PMV est améliorée et la précision de la commande de dispositif de conditionnement d'air est davantage améliorée.
PCT/CN2020/091687 2019-06-17 2020-05-22 Procédé et dispositif de commande de dispositif de conditionnement d'air, et dispositif de conditionnement d'air WO2020253463A1 (fr)

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CN113494759B (zh) * 2020-03-18 2022-09-02 海信集团有限公司 一种对pmv值进行调整的设备和方法
CN111964166A (zh) * 2020-07-30 2020-11-20 青岛海尔空调器有限总公司 除湿控制方法、相关装置及系统

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