WO2018129902A1 - 一种智能送风方法及装置 - Google Patents

一种智能送风方法及装置 Download PDF

Info

Publication number
WO2018129902A1
WO2018129902A1 PCT/CN2017/094014 CN2017094014W WO2018129902A1 WO 2018129902 A1 WO2018129902 A1 WO 2018129902A1 CN 2017094014 W CN2017094014 W CN 2017094014W WO 2018129902 A1 WO2018129902 A1 WO 2018129902A1
Authority
WO
WIPO (PCT)
Prior art keywords
air supply
user
amount
air
area
Prior art date
Application number
PCT/CN2017/094014
Other languages
English (en)
French (fr)
Inventor
麦刘伟
区志财
Original Assignee
广东美的制冷设备有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 广东美的制冷设备有限公司 filed Critical 广东美的制冷设备有限公司
Publication of WO2018129902A1 publication Critical patent/WO2018129902A1/zh

Links

Images

Classifications

    • 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
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • 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
    • F24F11/89—Arrangement or mounting of control or safety devices
    • 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
    • F24F2120/10—Occupancy
    • 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
    • F24F2120/10—Occupancy
    • F24F2120/14—Activity of occupants

Definitions

  • the invention relates to a smart electric appliance technology, in particular to an intelligent air supply method and device.
  • Air conditioning is a commonly used household appliance, which is almost a must-have configuration for the family. With the improvement of living standards, people's requirements for air conditioners are getting higher and higher, and they are not satisfied with the simple adjustment of temperature, but pursue higher comfort.
  • the current air conditioner is more intelligent, it can turn on or off the air conditioner by sensing the entry or exit of the person, and can automatically adjust the air supply amount according to the set program. For example, when the air conditioner is turned on, the air volume is increased, and after opening for a period of time, , reduce the amount of air, and after entering the sleep time, further reduce the amount of air.
  • the changes in this way are basically simple and fixed, not flexible enough to give users a good comfort experience.
  • the embodiments of the present invention are expected to provide an intelligent air supply method and device, which can intelligently adjust the air supply mode of the air conditioner.
  • the embodiment of the invention provides an intelligent air supply method, which divides the air supply area according to a predetermined rule;
  • the method also includes:
  • the air supply mode is determined according to the amount of user activity in each air supply area.
  • the dividing the air supply area according to a predetermined rule comprises:
  • the determining the amount of user activity in each air supply area comprises:
  • the displacement amount is included in the corresponding air supply area according to the associated air supply area;
  • the amount of user activity in each air supply area is determined based on the amount of displacement included in each air supply area.
  • the detecting by the detecting component, acquiring the displacement amount of the user within a preset time, comprising:
  • the amount of displacement of the user within a preset time is determined according to a change in the position of the user at each time point.
  • the determining the amount of user activity in each air supply area according to the amount of displacement included in each air supply area includes:
  • the amount of user activity in each air blowing area is determined based on the displacement amount counted in each air blowing area and the user activity amount weighting coefficient.
  • An embodiment of the present invention further provides an intelligent air blowing device, where the device includes a setting module, a first determining module, and a second determining module;
  • the setting module is configured to divide the air supply area according to a predetermined rule
  • the first determining module is configured to determine a user activity amount of each air blowing area
  • the second determining module is configured to determine a air supply mode according to the amount of user activity in each air supply area.
  • the setting module is specifically configured to:
  • the first determining module is specifically configured to:
  • the displacement amount is included in the corresponding air supply area according to the associated air supply area;
  • the amount of user activity in the air blowing area is determined based on the amount of displacement included in the air blowing area.
  • the first determining module is further configured to:
  • the amount of displacement of the user within a preset time is determined according to a change in the position of the user at each time point.
  • the first determining module is further configured to:
  • the amount of user activity in each air blowing area is determined based on the displacement amount counted in each air blowing area and the user activity amount weighting coefficient.
  • the intelligent air supply method and device provided by the embodiments of the present invention divide the air supply area according to a predetermined rule; determine the user activity amount of each air supply area, and determine the air supply mode according to the user activity amount of each air supply area; In the embodiment of the invention, the air supply area is first divided, and then the air supply mode is determined according to the user activity amount of each air supply area, so as to intelligently adjust the air supply mode of the air conditioner, further increasing the user's comfort and improving the user experience.
  • FIG. 1 is a schematic flow chart of a method for intelligent air supply according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of dividing a air supply area by a wind blowing device according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an intelligent air blowing device according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart of a method for intelligent air supply according to an embodiment of the present invention.
  • the method may be performed by a wind blowing device, and the air blowing device may be an air conditioner or an electric fan. As shown in FIG. 1 , the method includes :
  • Step 101 Divide a ventilation area according to a predetermined rule
  • the working space corresponding to the air blowing device needs to be divided into multiple air supply regions
  • the predetermined rule may be that the air supply area is divided along the air outlet position of the air blowing device; specifically, the air supply area may be divided in the horizontal direction according to the air outlet position of the air blowing device, as shown in FIG. 2
  • the wind area can be divided into four areas: A, B, C, and D;
  • the predetermined rule may further divide the air supply area according to the activity range of the user; the activity range of the user may analyze the main activity range of the user on the basis of multiple detections by the detecting component set by the air blowing device. Then, according to the range of the user's activity, the air supply area is adjusted on the basis of the above-mentioned horizontal or vertical divided air supply area, that is, the range in which the user frequently moves is separated from other areas.
  • the predetermined rule may also be a cluster analysis, such as a K-means algorithm, which analyzes multiple user groups through cluster analysis, and multiple user groups are sent separately. Wind area.
  • Step 102 Determine a user activity amount of each air supply area
  • the air blowing device detects, by the detecting component, the displacement amount of the user in a preset time period; the displacement amount is included in the corresponding air blowing region according to the associated air blowing region; The amount of displacement of the wind zone determines the amount of user activity in each air supply zone.
  • the air blowing device detects the position of the user at each time point by detecting by the detecting component; the detecting time point of the air blowing device may be intermittent, but the intermittent time interval is small. For example, the location of the user can be determined every 1 second.
  • the amount of displacement of the user within a preset time is determined according to a change in the position of the user at each time point. That is to say, by the change of the user position in the previous time point and the latter time point, the displacement amount between the two time points is known, and the displacement amount of the user in the preset time time is all the two time points. The amount of displacement between them is cumulative.
  • a mobile tracking technology may be used to detect the position of the user, that is, the user detected at the initial time point T 0 is at the subsequent time point of the T i Use mobile tracking technology to detect the location of this user;
  • the neighborhood of P i-1 may include multiple , including P i-1 itself, the range included in the neighborhood of P i-1 may depend on the time interval of detection, and the detection time interval is small, and the neighborhood range of P i-1 may be smaller, otherwise it is larger;
  • T i represents the detection time point
  • i is a natural number
  • P i represents the area number of the user position, specifically the detection area further subdivided in the air supply area, sequentially numbered, and establish whether they are adjacent to each other, etc.
  • Positional relationship; the detection area can be visually understood as a tiled area, such as an area of 50 cm x 50 cm, 1 m x 1 m, and the like.
  • the air blowing device After knowing the displacement amount of all the users, the air blowing device further needs to calculate the displacement amount into the corresponding air supply area according to the air supply area; the air supply area is determined according to the user position;
  • the position of the user includes the position before the movement and the position after the movement. If the position before the movement and the position after the movement belong to different air supply areas, the two lines of the air supply area need to be separately calculated. The amount of displacement of the wind region;
  • the detecting component here may be one or more of a digital camera, an infrared sensor or a distance sensor.
  • the air supply areas are overlapped, so the calculation of the user activity amount is also overlapped, that is, the activity amount of the same user at the same time can be repeatedly counted into different air supply areas.
  • the air blowing device may further correct the determined amount of user activity according to the category of the user, so as to better determine the air supply mode;
  • the amount of user activity in each air blowing area is determined based on the displacement amount counted in each air blowing area and the user activity amount weighting coefficient.
  • the category of the user may include gender and age, and the gender includes two types, male and female, because the experience of the male and female ways of supplying the wind is different; the age may include infants, children, teenagers, youth, Middle-aged and elderly, users of different ages also need different ways of sending air;
  • Determining the amount of user activity in each air supply area according to the displacement amount of each air supply area and the weighting coefficient of the user activity amount specifically, the amount of displacement included in each air supply area and the weighting coefficient of the user activity amount Multiply, determine the amount of user activity in each air supply area;
  • the user activity amount weighting coefficient may be a product of a gender coefficient and an age coefficient, and the gender coefficient and the age coefficient may be a number less than or equal to 1.
  • a gender coefficient of a male may be 1 while a gender coefficient of a female may be It is 0.8, and the age coefficient of young people can be 1, while the age coefficient of infants and young children can be 0.5;
  • the detecting, by the detecting component, determining the category of the user may be through a face recognition technology, which is an emerging artificial intelligence technology that has been used in an examination room, an airport, etc., and is not described in detail; Accordingly, the detecting component may be a high definition digital camera, and a dedicated application needs to be set in the air blowing device or the cloud server.
  • Step 103 Determine the air supply mode according to the amount of user activity in each air supply area.
  • the air supply mode may include a swing wind speed and a blow air speed, and the swing wind speed and the air supply speed may be continuously changed;
  • the swing wind speed can be realized by driving a wind deflector by a stepping motor or a servo motor, and the air blowing speed can be driven by a stepping motor or a servo motor to drive the air supply vane, so that continuous variation can be realized. purpose.
  • the wind blowing mode of the air supply device needs to be adapted to the dividing rule of the air blowing area, and since the air blowing area is generally divided horizontally, the wind blowing mode is also designed as a lateral wind.
  • the air supply device can determine the air supply mode according to the following principles:
  • the air conditioner has a slow wind speed and a high air supply speed
  • the air conditioner has a high wind speed and a low air supply speed.
  • the air conditioner has a high wind speed and a low air supply speed
  • the air supply mode is determined according to the amount of user activity, which is also substantially in accordance with the sleep mode in the prior art, that is, when the user enters the sleep state, the user activity amount is substantially zero, such that if the air supply device The air sent is cold air, mainly to reduce the air volume. If the wind sent by the air supply device is hot air, the air volume is mainly increased; therefore, the intelligent air supply method according to the embodiment of the present invention does not further improve user comfort. Will change the user's habits.
  • the device includes a setting module 31, a first determining module 32, and a second determining module 33.
  • the setting module 31 is configured to divide the air supply area according to a predetermined rule
  • the first determining module 32 is configured to determine a user activity amount of each air blowing area
  • the second determining module 33 is configured to determine a air supply mode according to the amount of user activity of each air blowing area.
  • the setting module 31 is configured to divide the air supply area according to a predetermined rule
  • the setting module 31 needs to divide the working space corresponding to the air blowing device into a plurality of air blowing regions.
  • the predetermined rule may be that the air supply area is divided along the air outlet of the air blowing device.
  • the setting module 31 may divide the air supply area in the horizontal direction according to the air outlet position of the air blowing device, as shown in the figure. 2, the air supply area can be divided into four areas A, B, C, D;
  • the predetermined rule may further be that the setting module 31 divides the air supply area according to the activity range of the user; the activity range of the user may be based on multiple detections by the detecting component set by the setting module 31. Analyze the main activity range of the user, and then adjust the air supply area based on the above-mentioned horizontal or vertical division air supply area according to the user's activity range, that is, the range of frequent activities of the user and It is separated.
  • the predetermined rule may also be a cluster analysis, such as a K-means algorithm, which analyzes multiple user groups through cluster analysis, and multiple user groups are sent separately. Wind area.
  • the first determining module 32 is configured to determine a user activity amount of each air blowing area
  • the first determining module 32 detects the displacement of the user within a preset time by detecting the detecting component
  • the displacement amount is included in the corresponding air supply area according to the associated air supply area; and the amount of user activity in each air supply area is determined based on the displacement amount of each air supply area.
  • the first determining module 32 detects, by the detecting component, the location of the user at each time point;
  • the detection time point of the first determining module 32 may be intermittent, but the intermittent time interval is small.
  • the position of the user may be determined every 1 second.
  • the amount of displacement of the user within a preset time is determined according to a change in the position of the user at each time point.
  • the displacement amount between the two time points can be known, and the displacement amount of the user in the preset time time is all the two times.
  • the amount of displacement between points is cumulative.
  • a mobile tracking technology may be used to detect the position of the user, that is, the user detected at the initial time point T 0 is at the subsequent time point of the T i Use mobile tracking technology to detect the location of this user;
  • the neighborhood of P i-1 may include multiple , including P i-1 itself, the range included in the neighborhood of P i-1 may depend on the time interval of detection, and the detection time interval is small, and the neighborhood range of P i-1 may be smaller, otherwise it is larger;
  • T i represents the detection time point
  • i is a natural number
  • P i represents the area number of the user position, specifically the detection area further subdivided in the air supply area, sequentially numbered, and establish whether they are adjacent to each other, etc.
  • Positional relationship; the detection area can be visually understood as a tiled area, such as an area of 50 cm x 50 cm, 1 m x 1 m, and the like.
  • the first determining module 32 further needs to calculate the displacement amount into the corresponding air supply area according to the associated air supply area; the air supply area belongs to the user position;
  • the position of the user includes the position before the movement and the position after the movement. If the position before the movement and the position after the movement belong to different air supply areas, the two lines of the air supply area need to be separately calculated. The amount of displacement of the wind region;
  • the detecting component here may be one or more of a digital camera, an infrared sensor or a distance sensor.
  • the air supply areas are overlapped, so the calculation of the user activity amount is also overlapped, that is, the activity amount of the same user at the same time can be repeatedly counted into different air supply areas.
  • the air blowing device may further correct the determined amount of user activity according to the category of the user, so as to better determine the air supply mode;
  • the amount of user activity in each air blowing area is determined based on the displacement amount counted in each air blowing area and the user activity amount weighting coefficient.
  • the category of the user may include gender and age, and the gender includes two types, male and female, because the experience of the male and female ways of supplying the wind is different; the age may include infants, children, teenagers, youth, Middle-aged and elderly, users of different ages also need different ways of sending air;
  • Determining the amount of user activity in each air supply area according to the displacement amount of each air supply area and the weighting coefficient of the user activity amount specifically, the amount of displacement included in each air supply area and the weighting coefficient of the user activity amount Multiply, determine the amount of user activity in each air supply area;
  • the user activity amount weighting coefficient may be a product of a gender coefficient and an age coefficient, and the gender coefficient and the age coefficient may be a number less than or equal to 1.
  • a gender coefficient of a male may be 1 while a gender coefficient of a female may be It is 0.8, and the age coefficient of young people can be 1, while the age coefficient of infants and young children can be 0.5;
  • the detecting, by the detecting component, determining the category of the user may be through a face recognition technology, which is an emerging artificial intelligence technology that has been used in an examination room, an airport, etc., and is not described in detail; Accordingly, the detecting component may be a high definition digital camera, and a dedicated application needs to be set in the air blowing device or the cloud server.
  • the second determining module 33 is configured to determine a air supply mode according to the amount of user activity of each air blowing area.
  • the air supply mode may include a swing wind speed and a blow air speed, and the swing wind speed and the air supply speed may be continuously changed;
  • the swing wind speed can be realized by driving a wind deflector by a stepping motor or a servo motor, and the air blowing speed can be driven by a stepping motor or a servo motor to drive the air supply vane, so that continuous variation can be realized. purpose.
  • the wind blowing mode of the air supply device needs to be adapted to the dividing rule of the air blowing area, and since the air blowing area is generally divided horizontally, the wind blowing mode is also designed as a lateral wind.
  • the second determining module 33 can determine the air supply mode according to the following principles:
  • the air conditioner has a slow wind speed and a high air supply speed
  • the air conditioner has a high wind speed and a low air supply speed.
  • the air conditioner has a high wind speed and a low air supply speed
  • the setting module 31, the first determining module 32, and the second determining module 33 may each be a central processing unit (CPU), a microprocessor (MPU), and a digital signal processor (DSP) located in the air blowing device. Or implementation of a field programmable gate array (FPGA).
  • CPU central processing unit
  • MPU microprocessor
  • DSP digital signal processor
  • FPGA field programmable gate array

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

一种智能送风方法及装置，该方法包括：根据预定规则划分送风区域；确定各个送风区域的用户活动量；根据各个送风区域的用户活动量，确定送风方式。

Description

一种智能送风方法及装置
本申请要求于2017年01月11日提交中国专利局、申请号为201710021463.X、发明名称为“一种智能送风方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及智能电器技术，具体涉及一种智能送风方法及装置。
背景技术
空调是常用的家电设备，几乎是家庭的必备配置。随着生活水平的提高，人们对空调的要求越来越高，已不满足于简单的调节温度，而追求更高的舒适度。
目前的空调虽然更加智能，能通过感应到人的进入或离开而开启或关闭空调，也能根据设定的程序自动调节送风量，例如，刚开启空调时，加大风量，开启一段时间后，减少风量，进入睡眠时间后，进一步减少风量等。但是，这种方式的变化基本还是比较简单和固定，不够灵活，无法给用户带来很好的舒适体验。
因此，智能调节空调的送风方式，进一步增加用户的舒适度，是亟待解决的问题。
发明内容
为解决现有存在的技术问题，本发明实施例期望提供一种智能送风方法及装置，能智能调节空调的送风方式。
为达到上述目的，本发明实施例的技术方案是这样实现的：
本发明实施例提供了一种智能送风方法，根据预定规则划分送风区域；所 述方法还包括：
确定各个送风区域的用户活动量；
根据各个送风区域的用户活动量，确定送风方式。
优选地，所述根据预定规则划分送风区域，包括：
沿送风设备的出风口位置，划分所述送风区域；和/或，根据所述用户的活动范围，划分所述送风区域。
优选地，所述确定各个送风区域的用户活动量，包括：
通过探测部件检测，获取所述用户在预设时间内的位移量；
将所述位移量按所属送风区域计入对应的送风区域；
根据计入各个送风区域的位移量，确定各个送风区域的用户活动量。
优选地，所述通过探测部件检测，获取所述用户在预设时间内的位移量，包括：
通过所述探测部件检测，确定所述用户每个时间点的位置；
在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。
优选地，所述根据计入各个送风区域的位移量，确定各个送风区域的用户活动量，包括：
通过所述探测部件检测，确定所述用户的类别；
根据所述用户的类别，确定所述用户活动量加权系数；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
本发明实施例还提供了一种智能送风装置，所述装置包括设置模块、第一确定模块和第二确定模块；其中，
所述设置模块，用于根据预定规则划分送风区域；
所述第一确定模块，用于确定各个送风区域的用户活动量；
所述第二确定模块，用于根据各个送风区域的用户活动量，确定送风方式。
优选地，所述设置模块，具体用于:
沿送风设备的出风口位置，划分所述送风区域；
和/或，根据所述用户的活动范围，划分所述送风区域。
优选地，所述第一确定模块，具体用于：
通过探测部件检测，获取所述用户在预设时间内的位移量；
将所述位移量按所属送风区域计入对应的送风区域；
根据计入所述送风区域的位移量，确定所述送风区域的用户活动量。
优选地，所述第一确定模块，还用于：
通过所述探测部件检测，确定所述用户每个时间点的位置；
在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。
优选地，所述第一确定模块，还用于：
通过所述探测部件检测，确定所述用户的类别；
根据所述用户的类别，确定所述用户活动量加权系数；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
本发明实施例所提供的智能送风方法及装置，根据预定规则划分送风区域；确定各个送风区域的用户活动量，根据各个送风区域的用户活动量，确定送风方式；可见，本发明实施例中先划分了送风区域，之后会根据每个送风区域的用户活动量来确定送风方式，以便智能调节空调的送风方式，进一步增加用户的舒适度，提高用户体验。
附图说明
图1为本发明实施例智能送风方法的流程示意图；
图2为本发明实施例中送风设备划分送风区域的示意图；
图3为本发明实施例智能送风装置的示意图。
具体实施方式
为了能够更详尽的了解本发明的特点与技术内容，下面将结合附图对本发明的实现进行详细阐述，所附附图仅供参考说明之用，并非用来限定本发明。
图1为本发明实施例智能送风方法的流程示意图，所述方法可以由送风设备执行，所述送风设备可以是空调，也可以是电风扇；如图1所示，所述方法包括：
步骤101：根据预定规则划分送风区域；
在本发明实施例中，为了便于根据不同的区域制定不同的送风方式，需要将送风设备对应的工作空间划分为多个送风区域；
其中，所述预定规则可以是沿送风设备的出风口位置，划分所述送风区域；具体地，可以按送风设备的出风口位置在横向划分送风区域，如图2所示，送风区域可分为A、B、C、D四个区域；
所述预定规则还可以是根据所述用户的活动范围，划分所述送风区域；用户的活动范围可以通过送风设备设置的探测部件在多次探测的基础上，分析出用户的主要活动范围，再根据用户的活动范围在上述横向或纵向划分送风区域的基础上调整送风区域，即将用户经常活动的范围和其它区域分开。
进一步地，如果用户的人数比较多的，预定规则还可以是聚类分析，如K均值(k-means)算法，通过聚类分析分析出多个用户群，多个用户群分属不同的送风区域。
步骤102：确定各个送风区域的用户活动量；
具体地，所述送风设备通过探测部件检测，获取所述用户在预设时间内的位移量；将所述位移量按所属送风区域计入对应的送风区域；再根据计入各个送风区域的位移量，确定各个送风区域的用户活动量。
更具体地，所述送风设备通过所述探测部件检测，确定所述用户每个时间点的位置；所述送风设备的检测时间点可以是间断的，但是间断的时间间隔要很小，例如，可以每隔1秒确定一下所述用户的位置。
在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。也就是说，通过前一时间点和后一时间点中用户位置的变化，获知两个时间点之间的位移量，所述用户在预设时间内的位移量就是将所有的两个时间点之间的位移量累加。
进一步地，为了快速有效获取所述用户在预设时间内的位移量，可以采用移动跟踪技术来检测用户的位置，即在初始时间点T0检测到的用户，在后续的Ti时间点均采用移动跟踪技术来检测此用户的位置；
具体地，如果Ti-1时间点检测到的用户位置Pi-1，则Ti时刻会在Pi-1的邻域检测该用户；当然，Pi-1的邻域可以包括多个，也包括Pi-1本身，Pi-1的邻域包括的范围可以取决与检测的时间间隔，检测时间间隔小，则Pi-1的邻域范围可以小一些，否则就大一些；
其中，Ti表示检测时间点，i为自然数，Pi表示用户位置的区域编号，具体的就是在送风区域内进一步细分的检测区域，按顺序编号，并建立相互之间是否相邻等位置关系；所述检测区域可以形象的理解为一块瓷砖的区域，比如50cm×50cm、1m×1m的区域等等。
在获知所有用户的位移量后，送风设备还需要将所述位移量按所属送风区域计入对应的送风区域；所属送风区域是根据用户位置来确定的；
具体地，用户的位置包括移动前的位置和移动后的位置，如果移动前的位置和移动后的位置分属不同的送风区域，则需要通过送风区域的分界线来分别计算两个送风区域的位移量；
这里的探测部件，可以是数字摄像头、红外传感器或距离传感器中的一种或多种。
从图2所示，送风区域是有重叠的，所以用户活动量的计算也是重叠的，即同一个用户在同一时间的活动量可以被重复计入不同的送风区域。
进一步地，所述送风设备还可以根据用户的类别，对确定的用户活动量进行修正，以便更好的确定送风方式；
具体地，通过所述探测部件检测，确定所述用户的类别；
根据所述用户的类别，确定所述用户活动量加权系数；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
这里，用户的类别可以包括性别和年龄，所述性别包括男、女两种，因为男、女对送风方式的体验是不一样的；所述年龄可以包括婴幼儿、儿童、少年、青年、中年和老年，不同年龄的用户，也需要不同的送风方式；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量，具体地可以是计入各个送风区域的位移量和所述用户活动量加权系数相乘，确定各个送风区域的用户活动量；
所述用户活动量加权系数可以是性别系数和年龄系数的乘积，所述性别系数和年龄系数可以是小于或等于1的数，例如性别中男性的性别系数可以是1，而女性的性别系数可以是0.8，而年龄中青年的年龄系数可以是1，而婴幼儿的年龄系数可以是0.5等；
所述通过所述探测部件检测，确定所述用户的类别，可以是通过人脸识别技术，这是一种新兴的，但已经在考场、机场等场所开始使用的人工智能技术，不作详述；相应地，所述探测部件可以是高清晰度的数字摄像头，且需要在所述送风设备或云端服务器设置专用应用。
步骤103：根据各个送风区域的用户活动量，确定送风方式。
这里，送风方式可以包括摆风速度和送风速度，所述摆风速度和送风速度是可以连续变化的；
具体地，所述摆风速度可以通过步进电机或伺服电机来驱动导风板实现，所述送风速度可以通过步进电机或伺服电机来驱动送风风叶实现，这样可以实现连续变化的目的。
其中，送风设备的摆风方式需要与送风区域的划分规则相适应，由于送风区域一般是横向划分的，故摆风方式也设计成横向摆风。
一般地，如果送的风是冷风，送风设备可以按如下原则来确定送风方式：
1)在用户活动量大的区域，空调摆风速度慢，送风速度高；
2)在用户活动量小的区域，空调摆风速度快，送风速度低。
这样，用户活动量大的区域，可以得到更大的风量，保持舒适体验。
如果送的风是热风，则确定送风方式的原则与上相反，即：
1)在用户活动量大的区域，空调摆风速度快，送风速度低；
2)在用户活动量小的区域，空调摆风速度慢，送风速度高。
进一步地，本发明实施例中根据用户活动量来确定送风方式，也基本符合现有技术中的睡眠模式，即当用户进入睡眠状态后，用户活动量基本为零，这样，如果送风设备送的风是冷风，以减少风量为主，如果送风设备送的风是热风，以增加风量为主；因此本发明实施例的智能送风方法在进一步提高用户舒适度的前提下，也不会改变用户使用习惯。
图3为本发明实施例智能送风装置的示意图，如图3所示，所述装置包括设置模块31、第一确定模块32和第二确定模块33；其中，
所述设置模块31，用于根据预定规则划分送风区域；
所述第一确定模块32，用于确定各个送风区域的用户活动量；
所述第二确定模块33，用于根据各个送风区域的用户活动量，确定送风方式。
为了说明的更清楚，下面将分别对各个模块作详细说明：
所述设置模块31，用于根据预定规则划分送风区域；
在本发明实施例中，为了便于根据不同的区域制定不同的送风方式，所述设置模块31需要将送风设备对应的工作空间划分为多个送风区域。
其中，所述预定规则可以是沿送风设备的出风口位置，划分所述送风区域；具体地，所述设置模块31可以按送风设备的出风口位置在横向划分送风区域，如图2所示，送风区域可分为A、B、C、D四个区域；
所述预定规则还可以是所述设置模块31根据所述用户的活动范围，划分所述送风区域；用户的活动范围可以通过所述设置模块31设置的探测部件在多次探测的基础上，分析出用户的主要活动范围，再根据用户的活动范围在上述横向或纵向划分送风区域的基础上调整送风区域，即将用户经常活动的范围和其 它区域分开。
进一步地，如果用户的人数比较多的，预定规则还可以是聚类分析，如K均值(k-means)算法，通过聚类分析分析出多个用户群，多个用户群分属不同的送风区域。
所述第一确定模块32，用于确定各个送风区域的用户活动量；
具体地，所述第一确定模块32通过探测部件检测，获取所述用户在预设时间内的位移量；
将所述位移量按所属送风区域计入对应的送风区域；再根据计入各个送风区域的位移量，确定各个送风区域的用户活动量。
更具体地，所述第一确定模块32通过所述探测部件检测，确定所述用户每个时间点的位置；
所述第一确定模块32的检测时间点可以是间断的，但是间断的时间间隔要很小，例如，可以每隔1秒确定一下所述用户的位置。
在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。
也就是说，通过前一时间点和后一时间点中用户位置的变化，能获知两个时间点之间的位移量，所述用户在预设时间内的位移量就是将所有的两个时间点之间的位移量累加。
进一步地，为了快速有效获取所述用户在预设时间内的位移量，可以采用移动跟踪技术来检测用户的位置，即在初始时间点T0检测到的用户，在后续的Ti时间点均采用移动跟踪技术来检测此用户的位置；
具体地，如果Ti-1时间点检测到的用户位置Pi-1，则Ti时刻会在Pi-1的邻域检测该用户；当然，Pi-1的邻域可以包括多个，也包括Pi-1本身，Pi-1的邻域包括的范围可以取决于检测的时间间隔，检测时间间隔小，则Pi-1的邻域范围可以小一些，否则就大一些；
其中，Ti表示检测时间点，i为自然数，Pi表示用户位置的区域编号，具体的就是在送风区域内进一步细分的检测区域，按顺序编号，并建立相互之间是 否相邻等位置关系；所述检测区域可以形象的理解为一块瓷砖的区域，比如50cm×50cm、1m×1m的区域等等。
在获知所有用户的位移量后，所述第一确定模块32还需要将所述位移量按所属送风区域计入对应的送风区域；所属送风区域是根据用户位置来确定的；
具体地，用户的位置包括移动前的位置和移动后的位置，如果移动前的位置和移动后的位置分属不同的送风区域，则需要通过送风区域的分界线来分别计算两个送风区域的位移量；
这里的探测部件，可以是数字摄像头、红外传感器或距离传感器中的一种或多种。
从图2所示，所述送风区域是有重叠的，所以所述用户活动量的计算也是重叠的，即同一个用户在同一时间的活动量可以被重复计入不同的送风区域。
进一步地，所述送风设备还可以根据用户的类别，对确定的用户活动量进行修正，以便更好的确定送风方式；
具体地，通过所述探测部件检测，确定所述用户的类别；
根据所述用户的类别，确定所述用户活动量加权系数；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
这里，用户的类别可以包括性别和年龄，所述性别包括男、女两种，因为男、女对送风方式的体验是不一样的；所述年龄可以包括婴幼儿、儿童、少年、青年、中年和老年，不同年龄的用户，也需要不同的送风方式；
根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量，具体地可以是计入各个送风区域的位移量和所述用户活动量加权系数相乘，确定各个送风区域的用户活动量；
所述用户活动量加权系数可以是性别系数和年龄系数的乘积，所述性别系数和年龄系数可以是小于或等于1的数，例如性别中男性的性别系数可以是1，而女性的性别系数可以是0.8，而年龄中青年的年龄系数可以是1，而婴幼儿的年龄系数可以是0.5等；
所述通过所述探测部件检测，确定所述用户的类别，可以是通过人脸识别技术，这是一种新兴的，但已经在考场、机场等场所开始使用的人工智能技术，不作详述；相应地，所述探测部件可以是高清晰度的数字摄像头，且需要在所述送风设备或云端服务器设置专用应用。
所述第二确定模块33，用于根据各个送风区域的用户活动量，确定送风方式。
这里，送风方式可以包括摆风速度和送风速度，所述摆风速度和送风速度是可以连续变化的；
具体地，所述摆风速度可以通过步进电机或伺服电机来驱动导风板实现，所述送风速度可以通过步进电机或伺服电机来驱动送风风叶实现，这样可以实现连续变化的目的。
其中，送风设备的摆风方式需要与送风区域的划分规则相适应，由于送风区域一般是横向划分的，故摆风方式也设计成横向摆风。
一般地，如果送的风是冷风，所述第二确定模块33可以按如下原则来确定送风方式：
1)在用户活动量大的区域，空调摆风速度慢，送风速度高；
2)在用户活动量小的区域，空调摆风速度快，送风速度低。
这样，用户活动量大的区域，可以得到更大的风量，保持舒适体验。
如果送的风是热风，则确定送风方式的原则与上相反，即：
1)在用户活动量大的区域，空调摆风速度快，送风速度低；
2)在用户活动量小的区域，空调摆风速度慢，送风速度高。
在实际应用中，所述设置模块31、第一确定模块32和第二确定模块33均可由位于送风设备的中央处理器(CPU)、微处理器(MPU)、数字信号处理器(DSP)、或现场可编程门阵列(FPGA)等实现。
以上所述，仅为本发明的较佳实施例而已，并非用于限定本发明的保护范围，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种智能送风方法，其特征在于，根据预定规则划分送风区域；所述方法还包括：
    确定各个送风区域的用户活动量；
    根据各个送风区域的用户活动量，确定送风方式。
  2. 根据权利要求1所述的方法，其特征在于，所述根据预定规则划分送风区域，包括：
    沿送风设备的出风口位置，划分所述送风区域；
    和/或，根据所述用户的活动范围，划分所述送风区域。
  3. 根据权利要求1或2所述的方法，其特征在于，所述确定各个送风区域的用户活动量，包括：
    通过探测部件检测，获取所述用户在预设时间内的位移量；
    将所述位移量按所属送风区域计入对应的送风区域；
    根据计入各个送风区域的位移量，确定各个送风区域的用户活动量。
  4. 根据权利要求3所述的方法，其特征在于，所述通过探测部件检测，获取所述用户在预设时间内的位移量，包括：
    通过所述探测部件检测，确定所述用户每个时间点的位置；
    在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。
  5. 根据权利要求3所述的方法，其特征在于，所述根据计入各个送风区域的位移量，确定各个送风区域的用户活动量，包括：
    通过所述探测部件检测，确定所述用户的类别；
    根据所述用户的类别，确定所述用户活动量加权系数；
    根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
  6. 一种智能送风装置，其特征在于，所述装置包括设置模块、第一确定 模块和第二确定模块；其中，
    所述设置模块，用于根据预定规则划分送风区域；
    所述第一确定模块，用于确定各个送风区域的用户活动量；
    所述第二确定模块，用于根据各个送风区域的用户活动量，确定送风方式。
  7. 根据权利要求6所述的装置，其特征在于，所述设置模块，具体用于:
    沿送风设备的出风口位置，划分所述送风区域；
    和/或，根据所述用户的活动范围，划分所述送风区域。
  8. 根据权利要求6或7所述的装置，其特征在于，所述第一确定模块，具体用于：
    通过探测部件检测，获取所述用户在预设时间内的位移量；
    将所述位移量按所属送风区域计入对应的送风区域；
    根据计入所述送风区域的位移量，确定所述送风区域的用户活动量。
  9. 根据权利要求8所述的装置，其特征在于，所述第一确定模块，还用于：
    通过所述探测部件检测，确定所述用户每个时间点的位置；
    在预设时间内，根据所述用户每个时间点位置的变化，确定所述用户在预设时间内的位移量。
  10. 根据权利要求8所述的装置，其特征在于，所述第一确定模块，还用于：
    通过所述探测部件检测，确定所述用户的类别；
    根据所述用户的类别，确定所述用户活动量加权系数；
    根据计入各个送风区域的位移量和所述用户活动量加权系数，确定各个送风区域的用户活动量。
PCT/CN2017/094014 2017-01-11 2017-07-24 一种智能送风方法及装置 WO2018129902A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710021463.XA CN106871335A (zh) 2017-01-11 2017-01-11 一种智能送风方法及装置
CN201710021463.X 2017-01-11

Publications (1)

Publication Number Publication Date
WO2018129902A1 true WO2018129902A1 (zh) 2018-07-19

Family

ID=59158063

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/094014 WO2018129902A1 (zh) 2017-01-11 2017-07-24 一种智能送风方法及装置

Country Status (2)

Country Link
CN (1) CN106871335A (zh)
WO (1) WO2018129902A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113819626A (zh) * 2021-08-23 2021-12-21 青岛海尔空调器有限总公司 用于控制空调的方法及装置、空调

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106871335A (zh) * 2017-01-11 2017-06-20 广东美的制冷设备有限公司 一种智能送风方法及装置
CN110671801A (zh) * 2019-05-08 2020-01-10 青岛海尔空调器有限总公司 用于控制出风方向和出音方向的方法、装置和空调
CN114838482A (zh) * 2022-05-07 2022-08-02 Tcl空调器(中山)有限公司 空调器新风控制方法、装置、电子设备及存储介质
CN117267937B (zh) * 2023-11-16 2024-03-15 深圳市华图测控系统有限公司 微环境送风系统的恒定送风装置及其送风参数适配方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005309489A (ja) * 2004-04-16 2005-11-04 Matsushita Electric Ind Co Ltd 情報配信サーバおよび端末装置およびプログラム
CN103557577A (zh) * 2013-10-30 2014-02-05 青岛海信日立空调系统有限公司 基于摄像头的空调系统及空调控制方法
CN105864961A (zh) * 2016-03-31 2016-08-17 广东美的制冷设备有限公司 空调器的控制方法、控制装置和空调器
CN106871335A (zh) * 2017-01-11 2017-06-20 广东美的制冷设备有限公司 一种智能送风方法及装置

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003185217A (ja) * 2001-12-19 2003-07-03 Daikin Ind Ltd 空気調和機
JP4870059B2 (ja) * 2007-10-05 2012-02-08 三菱電機株式会社 空気調和機
KR20090085895A (ko) * 2008-02-05 2009-08-10 엘지전자 주식회사 공기조화기 및 그 제어방법
WO2009098847A1 (ja) * 2008-02-08 2009-08-13 Panasonic Corporation 空気調和機
CN101706142B (zh) * 2009-10-30 2012-10-17 卓灵智能(深圳)有限公司 基于人体活动量检测的温度调节方法及其装置和系统
JP5085670B2 (ja) * 2010-02-24 2012-11-28 株式会社東芝 空調制御システムおよび空調制御方法
CN102759173B (zh) * 2011-04-26 2014-09-03 珠海格力电器股份有限公司 控制空调运行方式的方法和空调
JP5948580B2 (ja) * 2011-09-05 2016-07-06 パナソニックＩｐマネジメント株式会社 空気調和機
CN104110769B (zh) * 2013-06-20 2016-12-28 广东美的制冷设备有限公司 一种空调器运行温度控制方法及一种空调器
CN104344501B (zh) * 2013-08-29 2019-07-23 海尔集团公司 一种空调器及其控制方法
CN105627494B (zh) * 2014-10-28 2018-08-03 Tcl集团股份有限公司 一种控制空调运行的方法和系统
CN104748298A (zh) * 2015-02-03 2015-07-01 山东大学 基于传感器网络的温控系统和方法
JP6522365B2 (ja) * 2015-02-25 2019-05-29 三菱重工サーマルシステムズ株式会社 制御システム、それを備えた空気調和システム、制御方法並びに制御プログラム
CN106123252A (zh) * 2016-08-31 2016-11-16 广东美的制冷设备有限公司 空调器的控制方法、系统及空调器

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005309489A (ja) * 2004-04-16 2005-11-04 Matsushita Electric Ind Co Ltd 情報配信サーバおよび端末装置およびプログラム
CN103557577A (zh) * 2013-10-30 2014-02-05 青岛海信日立空调系统有限公司 基于摄像头的空调系统及空调控制方法
CN105864961A (zh) * 2016-03-31 2016-08-17 广东美的制冷设备有限公司 空调器的控制方法、控制装置和空调器
CN106871335A (zh) * 2017-01-11 2017-06-20 广东美的制冷设备有限公司 一种智能送风方法及装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113819626A (zh) * 2021-08-23 2021-12-21 青岛海尔空调器有限总公司 用于控制空调的方法及装置、空调

Also Published As

Publication number Publication date
CN106871335A (zh) 2017-06-20

Similar Documents

Publication Publication Date Title
WO2018129902A1 (zh) 一种智能送风方法及装置
WO2019024824A1 (zh) 壁挂式空调室内机及其控制方法
US11022333B2 (en) Control for device in a predetermined space area
WO2019024820A1 (zh) 壁挂式空调室内机及其控制方法
WO2019119470A1 (zh) 空调控制方法、系统及空调
US11243002B2 (en) Smart air vent
CN105841290A (zh) 通过人体生理参数智能化控制空调运行的方法
WO2019024825A1 (zh) 壁挂式空调室内机及其控制方法
WO2020181590A1 (zh) 运行控制方法、装置、空调器和计算机可读存储介质
US20170123442A1 (en) System and Method of Smart and Energy-Saving Environmental Control
CN106225161B (zh) 空调控制方法及装置
WO2020052369A1 (zh) 空调器的控制方法及空调器
CN105352142B (zh) 一种室内温度调节控制方法
CN103968496B (zh) 空调器的控制方法及空调器
CN111609471B (zh) 涡环发生装置运行控制方法、空调及计算机可读存储介质
CN104764151A (zh) 一种空调控制方法
CN106500276A (zh) 智能模块和智能空调器
JP6365967B2 (ja) 環境制御装置、および環境制御システム
CN103900208A (zh) 一种空调控制方法及空调
CN104033988A (zh) 空调控制系统及其控制方法
CN109323428B (zh) 人体位置识别方法、空调器的控制方法及控制系统
CN111988424A (zh) 一种睡眠智能监控床、系统及方法
JP6272126B2 (ja) 空気調和機
CN112178785A (zh) 一种空调器除湿控制方法及除湿控制设备
WO2022247345A1 (zh) 用于驱蚊的家电设备控制方法及装置、家电设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17890934

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17890934

Country of ref document: EP

Kind code of ref document: A1