CN208998282U - air conditioner - Google Patents

air conditioner Download PDF

Info

Publication number
CN208998282U
CN208998282U CN201821370690.XU CN201821370690U CN208998282U CN 208998282 U CN208998282 U CN 208998282U CN 201821370690 U CN201821370690 U CN 201821370690U CN 208998282 U CN208998282 U CN 208998282U
Authority
CN
China
Prior art keywords
respiratory rate
image
air
ventilation
rate
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
CN201821370690.XU
Other languages
Chinese (zh)
Inventor
岳锐
袁琪
许彪
李欣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Gree Electric Appliances Inc of Zhuhai
Original Assignee
Gree Electric Appliances Inc of Zhuhai
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 Gree Electric Appliances Inc of Zhuhai filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN201821370690.XU priority Critical patent/CN208998282U/en
Application granted granted Critical
Publication of CN208998282U publication Critical patent/CN208998282U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Image Processing (AREA)

Abstract

The utility model discloses an air conditioner. Wherein, this air conditioner includes: a camera for capturing at least one image of a target object; the image recognizer is connected with the camera and used for recognizing the chest region of the target object from the at least one image and obtaining a first respiratory rate of the target object according to the gray value of the chest region; and the controller is connected with the image recognizer and used for determining the ventilation mode of the air conditioner according to the relation between the first respiration rate and a preset respiration rate range. The utility model provides a because the calculation of traditional number of times of taking a breath carries out the lower technical problem of the number of times of taking a breath accuracy that causes that estimates according to room size and number.

Description

Air-conditioning
Technical field
The utility model relates to airconditioning control fields, in particular to a kind of air-conditioning.
Background technique
Rate of ventilation is one of basic parameter of field of air conditioning, and the rate of ventilation in room can reflect room to a certain extent Ventilation condition.The calculating of traditional rate of ventilation is estimated according to room-size and number, cannot be well reflected The ventilation capacity variance of each point, so that this method flexibility for seeking rate of ventilation is poor, accuracy is lower.
For above-mentioned problem, currently no effective solution has been proposed.
Utility model content
The utility model embodiment provides a kind of air-conditioning, at least solve be due to the calculating of traditional rate of ventilation by The lower technical problem of rate of ventilation accuracy caused by being estimated according to room-size and number.
According to the one aspect of the utility model embodiment, a kind of air-conditioning is provided, comprising: camera, for shooting mesh Mark an at least image for object;Image recognizer is connect with the camera, for identifying from an at least image The chest region of the target object out, and according to the gray value in the chest region, obtain the target object first exhales Suction rate;Controller is connect with described image identifier, for according between first respiratory rate and default respiratory rate range Relationship determines the ventilatory pattern of air-conditioning.
Optionally, described image identifier includes: single-chip microcontroller, identifies human face region from an at least image; Based on the human face region, the chest region is determined.
Optionally, the single-chip microcontroller includes: comparison circuit, for carrying out colour of skin differentiation according to an at least image, It obtains differentiating result;Processing circuit, for an at least image to be carried out gray proces;According to an at least image Grey level's projective distribution and it is described differentiate as a result, determine face coboundary and lower boundary, according to described at least one scheme The gray scale vertical projection of picture is distributed and the differentiation is as a result, determine the left margin and right margin of face;According to the coboundary and The lower boundary obtains the height a of face, according to the left margin and the right margin, obtains the width b of face.
Optionally, the processing circuit, is also used to: on the basis of the lower boundary of the face, moving down b/2 and obtains chest Coboundary;On the basis of the coboundary in the chest, moves down b/2 and obtain the lower boundary in chest;Wherein, the width in the chest region Degree is the width of the face.
Optionally, described image identifier includes: filter circuit, for carrying out Wavelet Denoising Method processing to the gray value, Obtain respiratory rate curve;Detection circuit is connect with the filter circuit, for carrying out peak detection to the respiratory rate curve, Obtain first respiratory rate.
Optionally, the filter circuit is specifically used for: carrying out wavelet multi-scale analysis to the gray value, obtains analysis knot Fruit;Low-pass filtering treatment is carried out to the analysis result, obtains filter result;Signal reconstruction is carried out to the filter result, is obtained To denoised signal;Based on the denoised signal, the respiratory rate curve is obtained.
Optionally, the controller includes: comparison circuit, for judging whether first respiratory rate default exhales described Within the scope of suction rate;Control circuit, if determining the ventilation time for first respiratory rate within the scope of the default respiratory rate Several or ventilation volume is default rate of ventilation or default ventilation volume;If first respiratory rate is greater than the default respiratory rate range The upper limit increases the rate of ventilation or the ventilation volume;If first respiratory rate is less than under the default respiratory rate range Limit, reduces the rate of ventilation or the ventilation volume.
Optionally, the camera is set on the interior machine body of the air-conditioning.
Optionally, the air-conditioning further include: respiration transducer is connect with the controller, for monitoring the target pair The respiratory rate of elephant.
In the utility model embodiment, using the first respiratory rate for obtaining target object by camera;First is exhaled Suction rate is compared with default respiratory rate range, obtains comparison result;Based on comparative result, the side of the ventilatory pattern of air-conditioning is determined Formula obtains the respiratory rate of user using software analysis and relevant calculation, and determine sky according to this by acquiring human body image The rate of ventilation of tune has reached fresh air volume required for accurately calculating room according to respiratory rate, so that it is determined that rate of ventilation Purpose, thus realize improve accuracy technical effect, and then solve due to the calculating of traditional rate of ventilation be according to The lower technical problem of rate of ventilation accuracy caused by room-size and number are estimated.
Detailed description of the invention
Attached drawing described herein is used to provide a further understanding of the present invention, and is constituted part of this application, The exemplary embodiment of the utility model and the description thereof are used to explain the utility model, does not constitute to the improper of the utility model It limits.In the accompanying drawings:
Fig. 1 is the flow diagram according to a kind of optional air conditioning control method of the utility model embodiment;
Fig. 2 (a) is the flow diagram according to the optional air conditioning control method of another kind of the utility model embodiment;
Fig. 2 (b) is the flow diagram according to the optional detection user's respiratory rate of one kind of the utility model embodiment;
Fig. 2 (c) is the flow diagram determined according to a kind of optional face location of the utility model embodiment;
Fig. 2 (d) is the flow diagram according to a kind of optional Wavelet Denoising Method of the utility model embodiment;
Fig. 2 (e) is the schematic diagram according to a kind of optional respiratory rate curve of the utility model embodiment;
Fig. 3 is the structural schematic diagram according to a kind of optional air conditioning control device of the utility model embodiment;
Fig. 4 is the structural schematic diagram according to a kind of optional air-conditioning of the utility model embodiment.
Specific embodiment
In order to make those skilled in the art better understand the scheme of the utility model, below in conjunction with the utility model reality The attached drawing in example is applied, the technical scheme in the utility model embodiment is clearly and completely described, it is clear that described Embodiment is only the embodiment of the utility model a part, instead of all the embodiments.Based on the reality in the utility model Example is applied, every other embodiment obtained by those of ordinary skill in the art without making creative efforts is all answered When the range for belonging to the utility model protection.
It should be noted that the specification and claims of the utility model and term " first " in above-mentioned attached drawing, " second " etc. is to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that in this way The data used are interchangeable under appropriate circumstances, so that the embodiments of the present invention described herein can be in addition at this In illustrate or description those of other than sequence implement.In addition, term " includes " and " having " and their any deformation, meaning Figure be to cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units Those of be not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for these processes, The intrinsic other step or units of method, product or equipment.
Embodiment 1
According to the utility model embodiment, a kind of embodiment of the method for air conditioning control method is provided, it should be noted that Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts The step of showing or describing.
Fig. 1 is the air conditioning control method according to the utility model embodiment, as shown in Figure 1, this method comprises the following steps:
Step S102 obtains the first respiratory rate of target object by camera.
Optionally, obtaining the first respiratory rate of target object by camera includes: by camera photographic subjects object An at least image;Predeterminable area is determined from an at least image;Extract the gray value of predeterminable area;Based on gray value, Obtain the first respiratory rate.
It optionally, include: that chest region is determined from an at least image from predeterminable area determining in an at least image, It include: to identify human face region from an at least image;Based on human face region, chest region is determined.
Optionally, identify that human face region includes: to carry out the colour of skin according to an at least image to sentence from an at least image Not, it obtains differentiating result;At least gray proces will be carried out by an image;According to grey level's projective distribution of at least one image And differentiate as a result, coboundary and the lower boundary of face are determined, according to the distribution of the gray scale vertical projection of at least one image and differentiation As a result, determining the left margin and right margin of face;According to coboundary and lower boundary, obtain the height a of face, according to left margin and Right margin obtains the width b of face.
Optionally, it is based on human face region, determines that chest region includes: to be moved down b/2 on the basis of the lower boundary of face and obtained To the coboundary in chest;On the basis of the coboundary in chest, moves down b/2 and obtain the lower boundary in chest;Wherein, the width in chest region Degree is the width of face.
Optionally, it is based on gray value, obtaining the first respiratory rate includes: to carry out Wavelet Denoising Method processing to gray value, is exhaled Suction rate curve;Peak detection is carried out to respiratory rate curve, obtains the first respiratory rate.
Optionally, Wavelet Denoising Method processing is carried out to gray value, it includes: more to gray value progress small echo for obtaining respiratory rate curve Dimensional analysis obtains analysis result;Low-pass filtering treatment is carried out to analysis result, obtains filter result;Filter result is carried out Signal reconstruction obtains denoised signal;Based on denoised signal, respiratory rate curve is obtained.
First respiratory rate is compared with default respiratory rate range, obtains comparison result by step S104.
Step S106 determines the ventilatory pattern of air-conditioning based on comparative result.
Optionally, the first respiratory rate is compared with default respiratory rate range, obtains comparison result;It is tied based on comparing Fruit determines that the ventilatory pattern of air-conditioning includes: to judge the first respiratory rate whether within the scope of default respiratory rate;If the first respiratory rate exists Within the scope of default respiratory rate, determines rate of ventilation or ventilation volume is default rate of ventilation or default ventilation volume;If the first respiratory rate Greater than the upper limit of default respiratory rate range, increase rate of ventilation or ventilation volume;If the first respiratory rate is less than default respiratory rate range Lower limit, reduce rate of ventilation or ventilation volume.
Through the above steps, human body image is acquired, obtains the respiratory rate of user using software analysis and relevant calculation, and And determine the rate of ventilation of air-conditioning according to this, reach fresh air volume required for accurately calculating room according to respiratory rate, thus It determines the purpose of rate of ventilation, to realize the technical effect for improving accuracy, and then solves due to traditional ventilation time Several calculating is the lower technical problem of rate of ventilation accuracy caused by being estimated according to room-size and number.
In the following, being illustrated as shown in Fig. 2 (a) to the air conditioning control method of the present embodiment:
Step a opens ventilatory.
After user opens ventilatory, air-conditioning enters the mode, and camera starting is continuously shot user video and carries out figure As crawl, chest position is judged.
Step b detects user's respiratory rate.
As shown in Fig. 2 (b), detection user's respiratory rate includes the following steps:
Step b1 opens camera.
Step b2, control camera grab image.
Step b3 determines chest position.
Breathing can bring more apparent movement of thorax, but camera is not aware that position or even the medicine in chest On also do not have accurate description to chest position.In the present embodiment, according to the position of human body head (face), according to Certain proportionate relationship positions chest region.
Specifically, to determine chest position, face location need to be first determined, in practical applications, human face region is acquiring Image in occupy biggish area ratio, be the local that color compares concentration, the present embodiment extracts face by Skin Color Information Portion region.
As shown in Fig. 2 (c), face location determination includes the following steps:
Step b31 reads in color image.
Step b32, the colour of skin differentiate.
Step b33, the Morphological scale-spaces such as opening and closing operation.
Opening and closing operation is also common method in Morphological scale-space.Opening operation is first to do to expand again to object progress etching operation The process of operation, closed operation are then first to carry out the process that etching operation is done in expansive working again to object.The effect of opening operation be The small object of very thin junction segmentation object, erasing makes the boundary of big object more smooth without substantially changeing its area.Close fortune The minuscule hole of big interior of articles can be filled by calculating, and the breaking portion of big object is reconnected, allow big object boundary more It is smooth without substantially changeing its area.
Corrosion and expansion are two kinds of most basic, most important Morphological scale-space methods in image procossing, are various advanced shapes The basis of state processing, a lot of other Morphology Algorithms is combined by them.Corrosion, is to be with a starting point The structural element of image origin moves in entire plane, and total element is enabled to be in the region that is corroded in plane Inside, then the collection area for meeting the centre coordinate of the structural element of this condition is exactly corrosion image.The result of corrosion It is that object small one is allowed to enclose, object edge is shunk;But if object is integrally less than structural element, corrode just as rubber Wipe object.Expansion, with corrosion on the contrary, being moved in entire plane with the structural element that a starting point is image origin, energy Enough so that the structural element has at least one pixel Chong Die with the region that is corroded in plane, then meeting this condition The collection area of the centre coordinate of structural element is exactly expanding image.Expansion can generally make the big circle of object, the edge of object to It extends out, " fat " one encloses, and expansion can also usually reconnect two parts of the same object broken apart in original image.
Step b34, grey level's projective distribution.
Step b35 determines face up-and-down boundary.
Step b36, gray scale vertical projection distribution.
Step b37 determines face right boundary.
Step b38, determines face location.
Firstly, reading in the color image for thering is camera to shoot;Then, colour of skin differentiation is carried out, captured image is carried out Gray proces, the up-and-down boundary of face is determined according to Morphological scale-spaces such as opening and closing operations, and exports face upper-lower height a;It determines The right boundary of face, and the width b that exports face or so.
The width b of face is obtained according to the method described above, and the reckoning of chest position is carried out after height a.With face up-and-down boundary Lower boundary on the basis of, move down coboundary of the b/2 as chest, then move down lower boundary of the b/2 as chest, the width in chest region Degree is the width b of face, can thus obtain the region in chest.
Step b4 extracts each frame chest area grayscale value.
Step b5, frame number are the integral multiple of K.
Step b6, Wavelet Denoising Method.
As shown in Fig. 2 (d), Wavelet Denoising Method includes the following steps:
Step b61 carries out wavelet multi-scale analysis.
Step b62, low-pass filtering.
Step b63, reconstruction signal.
For natural light irradiation on the position of chest, the fluctuating in chest will lead to the variation of the overall intensity in the region.Every breathing Once, chest rises and falls primary, and a cyclically-varying also occurs for gray scale.Shoot the video of one section of long period, then to video into The method of row processing, directly carries out spectrum analysis to grey scale signal, so that it may can obtain the average respiration of this period.For Obtain the behavioral characteristics that human body respiration changes over time, per at regular intervals, such as: 2s, 5s, 10s time carry out primary Data processing can obtain dynamic respiratory rate as far as possible.
1, signal acquisition
Into after ventilatory pattern, camera is opened, unlatching timing, after image stabilization, can be directed to former pictures, be carried out Face datection and the positioning of chest position, after determining chest position, are continuously shot, and each frame image of acquisition is carried out at gray scale Reason, and chest location variation data are represented by curve out.
2, noise is removed
In measuring system, due to background environment noise in camera hardware, collection process, the walking about etc. of user, Video gradation signal collected is the aliasing signal with noise.Therefore it needs to carry out signal processing using certain method, Remove noise.Common removal noise method has frequency domain digital filtering, Wavelet transformation, independent component analysis, empirical modal point Analysis etc..
In recent years, wavelet theory has obtained very fast development, and since it has good time-frequency characteristic, thus Practical application is also very extensive.In denoising field, denoising is carried out using small echo and also obtains extraordinary effect.Specifically Wavelet noise-eliminating method has a characteristic that
(1) low entropy, the sparse distribution of wavelet coefficient, so that the transformed entropy of image reduces;
(2) multiresolution, the method due to using multiresolution, it is possible to very well portray the non-stationary of signal Feature, such as edge, spike, breakpoint;
(3) decorrelation, because wavelet transformation can carry out decorrelation to signal, and noise has albefaction to become after the conversion Gesture, so wavelet field is more conducive to denoise than time domain;
(4) base flexibility is selected, since wavelet transformation can convert base with flexible choice, thus to different application, to not Same research object, can select different wavelet mother functions, to obtain optimal effect.
Wavelet noise-eliminating method include the steps that three it is basic: to noisy acoustical signal carry out wavelet transformation;Transformation is obtained Wavelet coefficient carries out certain processing, to remove noise wherein included;To treated, wavelet coefficient carries out wavelet inverse transformation, obtains Signal after to denoising.The difference of Wavelet noise-eliminating method concentrates on the first step.
Mathematically, the essence of Wavelet Denoising Method problem is a function approximation problem, i.e., how to stretch by wavelet mother function In the function space that contracting and translation version are transformed into, according to the weighing criteria of proposition, most preferably approaching to original signal is found, with complete At the differentiation of original signal and noise signal.The optimum mapping from actual signal space to wavelet function space is namely found, with Just the optimal recovery of original signal is obtained.
From the angle of signal, the problem of Wavelet Denoising Method is the filtering of signal, and although largely small echo Denoising can regard low-pass filtering as, but since signal characteristic can also be successfully reserved after denoising, so in this regard It is better than traditional low-pass filter again.It can be seen that Wavelet Denoising Method is actually the synthesis of feature extraction and low-pass filtering function.
Signal is mapped to wavelet field, different property is had on different scale according to the wavelet coefficient of noise and noise And mechanism, the wavelet coefficient of signals and associated noises is handled.Essence is the wavelet coefficient for reducing cancelling noise and generating, to greatest extent Reservation actual signal coefficient, inverse wavelet transform obtains the optimal estimation of signal.
Step b7 shows respiratory waveform.
In order to obtain continuous breath signal, sets every 2s and carry out a data processing, denoised later by wavelet method It can obtain the respiratory rate curve as shown in Fig. 2 (e).
Step b8, peak detection.
For example, as soon as the case where statistics minute inner curve peak value, can obtain the respiratory rate of user per minute.
Step b9, obtains respiratory rate.
Step b10 shows respiratory rate.
Step c is compared with standard respiratory rate.
Respiratory rate preset in obtained respiratory rate and database is compared, can judge the oxygen demand of user, together When can determine that the rate of ventilation in room.
Step d, if in critical field.
If so, executing step e;
If it is not, executing step f.
Step e, takes a breath according to default value.
Step f, if respiratory rate is rapid.
If so, executing step g;
If it is not, executing step h.
Step g increases rate of ventilation.
Step h, if respiratory rate is slow.
If so, executing step i.
Step i reduces rate of ventilation.
Respiratory rate of the normal adult in calmness is about 16 to 20 times per minute.With the difference at age, respiratory rate Difference, the age, smaller respiratory rate was also big;Respiratory rate also increases when movement;Respiratory rate reduces during sleep.It can from above-mentioned material Respiratory rate is identical with metabolism rate change trend out, therefore respiratory rate can be used to determine the oxygen demand in room, to control Ventilation volume or rate of ventilation processed.
It when the respiratory rate detected is within [16,20], is then carried out according to normal rate of ventilation or ventilation volume, such as 30 m3/(h·p);
When the respiratory rate detected is within (0,16), then rate of ventilation or ventilation volume, i.e. 20m3/ (hp) are reduced;
When the respiratory rate detected is within (20,50), then increase rate of ventilation or ventilation volume, i.e. 40m3/ (hp).
It should be noted that carrying out respiratory rate judgement using the gray scale of image using camera in this programme, while can adopt With optical identification method, supercritical ultrasonics technology etc. can not contact technique monitoring user respiratory rate;Bracelet, respiration transducer can also be used Etc. the respiratory rate of accessible method monitoring user.
The air conditioning control method of the present embodiment calculates user's respiratory rate using camera;Face position is judged using gray scale hair It sets, so that it is determined that chest position;It is handled using Wavelet-denoising Method for data;Room ventilation time is determined by respiratory rate Number, solves the problems, such as that sensor measurement respiratory rate and Air conditioner air exchange number are difficult on air-conditioning to be accurately calculated, Fresh air volume required for accurately calculating room according to respiratory rate is reached, so that it is determined that rate of ventilation, borrows camera, pass through Software analysis can calculate the purpose of the respiratory rate of user.
Embodiment 2
According to the utility model embodiment, a kind of embodiment of air conditioning control device is provided, Fig. 3 is practical new according to this The air conditioning control device of type embodiment, as shown in figure 3, the device includes:
Respiration measurement module 30, for obtaining the first respiratory rate of target object by camera;
Air conditioning module 32 is compared for first respiratory rate to be compared with default respiratory rate range As a result;
Ventilation module 34, for based on the comparison as a result, determining the ventilatory pattern of air-conditioning.
In the present embodiment, human body image is acquired by camera, obtains user's using software analysis and relevant calculation Respiratory rate, and determine the rate of ventilation of air-conditioning according to this, reach new required for accurately calculating room according to respiratory rate Air quantity, so that it is determined that the purpose of rate of ventilation, to realize the technical effect for improving accuracy, and then solves due to tradition The calculating of rate of ventilation be the lower technology of rate of ventilation accuracy caused by being estimated according to room-size and number Problem.
Embodiment 3
According to the utility model embodiment, a kind of embodiment of air-conditioning is provided, Fig. 4 is according to the utility model embodiment Air-conditioning, as shown in figure 4, the air-conditioning includes:
Camera 40, at least image for photographic subjects object;Image recognizer 42, with the camera 40 Connection, for identifying the chest region of the target object from an at least image, and according to the chest region Gray value, obtain the first respiratory rate of the target object;Controller 44 is connect with described image identifier 42, is used for root According to the relationship between first respiratory rate and default respiratory rate range, the ventilatory pattern of air-conditioning is determined.
Optionally, described image identifier includes: single-chip microcontroller, identifies human face region from an at least image; Based on the human face region, the chest region is determined.
Optionally, the single-chip microcontroller includes: comparison circuit, for carrying out colour of skin differentiation according to an at least image, It obtains differentiating result;An at least image is subjected to gray proces;Processing circuit, for according to an at least image Grey level's projective distribution and it is described differentiate as a result, determine face coboundary and lower boundary, according to described at least one scheme The gray scale vertical projection of picture is distributed and the differentiation is as a result, determine the left margin and right margin of face;According to the coboundary and The lower boundary obtains the height a of face, according to the left margin and the right margin, obtains the width b of face.
Optionally, the processing circuit, is also used to: on the basis of the lower boundary of the face, moving down b/2 and obtains chest Coboundary;On the basis of the coboundary in the chest, moves down b/2 and obtain the lower boundary in chest;Wherein, the width in the chest region Degree is the width of the face.
Optionally, described image identifier includes: filter circuit, for carrying out Wavelet Denoising Method processing to the gray value, Obtain respiratory rate curve;Detection circuit is connect with the filter circuit, for carrying out peak detection to the respiratory rate curve, Obtain first respiratory rate.
Optionally, the filter circuit is specifically used for: carrying out wavelet multi-scale analysis to the gray value, obtains analysis knot Fruit;Low-pass filtering treatment is carried out to the analysis result, obtains filter result;Signal reconstruction is carried out to the filter result, is obtained To denoised signal;Based on the denoised signal, the respiratory rate curve is obtained.
Optionally, the controller includes: comparison circuit, for judging whether first respiratory rate default exhales described Within the scope of suction rate;Control circuit, if determining the ventilation time for first respiratory rate within the scope of the default respiratory rate Several or ventilation volume is default rate of ventilation or default ventilation volume;If first respiratory rate is greater than the default respiratory rate range The upper limit increases the rate of ventilation or the ventilation volume;If first respiratory rate is less than under the default respiratory rate range Limit, reduces the rate of ventilation or the ventilation volume.
Optionally, the camera is set on the interior machine body of the air-conditioning.
Optionally, the air-conditioning further include: respiration transducer is connect with the controller, for monitoring the target pair The respiratory rate of elephant.
In the present embodiment, human body image is acquired by camera, obtains user's using software analysis and relevant calculation Respiratory rate, and determine the rate of ventilation of air-conditioning according to this, reach new required for accurately calculating room according to respiratory rate Air quantity, so that it is determined that the purpose of rate of ventilation, to realize the technical effect for improving accuracy, and then solves due to tradition The calculating of rate of ventilation be the lower technology of rate of ventilation accuracy caused by being estimated according to room-size and number Problem.
Above-mentioned the utility model embodiment serial number is for illustration only, does not represent the advantages or disadvantages of the embodiments.
In the above embodiments of the present invention, all emphasize particularly on different fields to the description of each embodiment, in some embodiment The part not being described in detail, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei A kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or components can combine or Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Between coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or communication link of unit or module It connects, can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
In addition, each functional unit in each embodiment of the utility model can integrate in one processing unit, It can be each unit to physically exist alone, can also be integrated in one unit with two or more units.It is above-mentioned integrated Unit both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the utility model sheet The all or part of the part that contributes to existing technology or the technical solution can be with software product in other words in matter Form embodies, which is stored in a storage medium, including some instructions are used so that a meter It calculates machine equipment (can be personal computer, server or network equipment etc.) and executes each embodiment the method for the utility model All or part of the steps.And storage medium above-mentioned include: USB flash disk, read-only memory (ROM, Read-Only Memory), Random access memory (RAM, Random Access Memory), mobile hard disk, magnetic or disk etc. are various to be can store The medium of program code.
The above is only the preferred embodiment of the utility model, it is noted that for the common skill of the art For art personnel, without departing from the principle of this utility model, several improvements and modifications can also be made, these improve and Retouching also should be regarded as the protection scope of the utility model.

Claims (9)

1. a kind of air-conditioning characterized by comprising
Camera, at least image for photographic subjects object;
Image recognizer is connect with the camera, for identifying the target object from an at least image Chest region, and according to the gray value in the chest region, obtain the first respiratory rate of the target object;
Controller is connect with described image identifier, for according between first respiratory rate and default respiratory rate range Relationship determines the ventilatory pattern of air-conditioning.
2. air-conditioning according to claim 1, which is characterized in that described image identifier includes:
Single-chip microcontroller, for identifying human face region from an at least image;Based on the human face region, the chest is determined Mouth region domain.
3. air-conditioning according to claim 2, which is characterized in that the single-chip microcontroller includes:
Comparison circuit obtains differentiating result for carrying out colour of skin differentiation according to an at least image;
Processing circuit, for an at least image to be carried out gray proces;According to the gray scale water of at least one image Flat projective distribution and the differentiation are as a result, determine coboundary and the lower boundary of face, according to the gray scale of at least one image Upright projection distribution and the differentiation are as a result, determine the left margin and right margin of face;According to the coboundary and described following Boundary obtains the height a of face, according to the left margin and the right margin, obtains the width b of face.
4. air-conditioning according to claim 3, which is characterized in that the processing circuit is also used to:
On the basis of the lower boundary of the face, moves down b/2 and obtain the coboundary in chest;
On the basis of the coboundary in the chest, moves down b/2 and obtain the lower boundary in chest;
Wherein, the width in the chest region is the width of the face.
5. air-conditioning according to claim 1, which is characterized in that described image identifier includes:
Filter circuit obtains respiratory rate curve for carrying out Wavelet Denoising Method processing to the gray value;
Detection circuit is connect with the filter circuit, for carrying out peak detection to the respiratory rate curve, obtains described first Respiratory rate.
6. air-conditioning according to claim 5, which is characterized in that the filter circuit is specifically used for:
Wavelet multi-scale analysis is carried out to the gray value, obtains analysis result;
Low-pass filtering treatment is carried out to the analysis result, obtains filter result;
Signal reconstruction is carried out to the filter result, obtains denoised signal;
Based on the denoised signal, the respiratory rate curve is obtained.
7. air-conditioning according to claim 1, which is characterized in that the controller includes:
Comparison circuit, for judging first respiratory rate whether within the scope of the default respiratory rate;
Control circuit, if determining rate of ventilation or ventilation volume within the scope of the default respiratory rate for first respiratory rate For default rate of ventilation or default ventilation volume;If first respiratory rate is greater than the upper limit of the default respiratory rate range, increase The rate of ventilation or the ventilation volume;If first respiratory rate is less than the lower limit of the default respiratory rate range, reduce institute State rate of ventilation or the ventilation volume.
8. air-conditioning according to any one of claim 1 to 7, which is characterized in that the camera is set to the air-conditioning Interior machine body on.
9. air-conditioning according to any one of claim 1 to 7, which is characterized in that the air-conditioning further include:
Respiration transducer is connect with the controller, for monitoring the respiratory rate of the target object.
CN201821370690.XU 2018-08-23 2018-08-23 air conditioner Active CN208998282U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201821370690.XU CN208998282U (en) 2018-08-23 2018-08-23 air conditioner

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201821370690.XU CN208998282U (en) 2018-08-23 2018-08-23 air conditioner

Publications (1)

Publication Number Publication Date
CN208998282U true CN208998282U (en) 2019-06-18

Family

ID=66798930

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201821370690.XU Active CN208998282U (en) 2018-08-23 2018-08-23 air conditioner

Country Status (1)

Country Link
CN (1) CN208998282U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109140709A (en) * 2018-08-23 2019-01-04 珠海格力电器股份有限公司 Air conditioner control method and device and air conditioner

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109140709A (en) * 2018-08-23 2019-01-04 珠海格力电器股份有限公司 Air conditioner control method and device and air conditioner

Similar Documents

Publication Publication Date Title
CN109685813A (en) A kind of U-shaped Segmentation Method of Retinal Blood Vessels of adaptive scale information
JP4860749B2 (en) Apparatus, system, and method for determining compatibility with positioning instruction in person in image
CN105825516B (en) A kind of DICOM images blood flow analysis system
CN110084259A (en) A kind of facial paralysis hierarchical synthesis assessment system of combination face texture and Optical-flow Feature
CN109255324A (en) Gesture processing method, interaction control method and equipment
CN102750964B (en) Method and device used for controlling background music based on facial expression
CN103942525A (en) Real-time face optimal selection method based on video sequence
Zhou et al. Skin lesion segmentation using an improved snake model
CN109620293B (en) Image recognition method and device and storage medium
CN102509286A (en) Target region sketching method for medical image
CN107330352A (en) Sleeping position pressure image-recognizing method based on HOG features and machine learning
CN111582036B (en) Cross-view-angle person identification method based on shape and posture under wearable device
CN111310584A (en) Heart rate information acquisition method and device, computer equipment and storage medium
CN114170201A (en) Non-contact respiration rate detection method and system based on edge optical flow information
CN106611158A (en) Method and equipment for obtaining human body 3D characteristic information
CN208998282U (en) air conditioner
CN113920109A (en) Medical image recognition model training method, recognition method, device and equipment
CN115456967A (en) Arteriovenous internal fistula thrombus detection method and device
CN116128814A (en) Standardized acquisition method and related device for tongue diagnosis image
CN116524612A (en) rPPG-based human face living body detection system and method
CN112907635B (en) Method for extracting abnormal eye movement characteristics based on geometric analysis
CN109140709A (en) Air conditioner control method and device and air conditioner
CN110163489B (en) Method for evaluating rehabilitation exercise effect
CN111862160A (en) Target tracking method, medium and system based on ARM platform
CN111931544A (en) Living body detection method, living body detection device, computing equipment and computer storage medium

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant