CN114413443A - Self-adaptive fresh air conditioning system and air conditioner - Google Patents
Self-adaptive fresh air conditioning system and air conditioner Download PDFInfo
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- CN114413443A CN114413443A CN202210042209.9A CN202210042209A CN114413443A CN 114413443 A CN114413443 A CN 114413443A CN 202210042209 A CN202210042209 A CN 202210042209A CN 114413443 A CN114413443 A CN 114413443A
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- 238000004378 air conditioning Methods 0.000 title claims abstract description 34
- 238000007791 dehumidification Methods 0.000 claims description 19
- 230000004927 fusion Effects 0.000 claims description 10
- 230000003044 adaptive effect Effects 0.000 claims description 5
- 238000011176 pooling Methods 0.000 claims description 4
- 238000007781 pre-processing Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
- 238000000034 method Methods 0.000 description 5
- 230000036760 body temperature Effects 0.000 description 2
- 206010037660 Pyrexia Diseases 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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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
- F24F11/62—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
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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
- F24F11/52—Indication arrangements, e.g. displays
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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
- F24F11/62—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
- F24F11/65—Electronic processing for selecting an operating mode
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/79—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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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
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/14—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by humidification; by dehumidification
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
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- F24F2110/12—Temperature of the outside air
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
- F24F2110/22—Humidity of the outside air
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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
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Abstract
The invention discloses a self-adaptive fresh air conditioning system and an air conditioner. The air conditioning system includes: the outdoor temperature and humidity acquisition module is used for acquiring outdoor temperature and humidity information; the temperature and humidity comparison module is used for comparing the outdoor temperature and humidity information with preset temperature and humidity information to obtain a first comparison result; the fresh air module is used for responding to a received fresh air starting instruction to change fresh air; the infrared image identification framework module is used for responding to the received infrared identification instruction to acquire indoor environment information and acquiring indoor personnel position and indoor temperature information according to the indoor environment image information; and the control module is used for sending the fresh air starting instruction to the fresh air module according to the first comparison result, or sending the infrared identification instruction to the infrared image identification framework module according to the first comparison result, and adjusting the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
Description
Technical Field
The invention relates to the field of air conditioners, in particular to a self-adaptive fresh air conditioning system and an air conditioner.
Background
At present, more and more household intelligent appliances are used, but the temperature regulation of the air conditioner cannot be changed through the change of the external temperature, because the floor, the position and the height of a user are different, the indoor set temperature cannot be changed even when the weather changes, the user cannot judge whether the user is in a room, the air conditioner cannot be automatically shut down under the condition that the user is absent, the operation mode of the air conditioner cannot be regulated through the specific position of the user room, the weather change and the temperature of the user, and the external temperature, the external humidity and the related experience need to be manually judged to regulate the air conditioner.
Disclosure of Invention
In view of the above, the invention discloses a self-adaptive fresh air conditioning system and an air conditioner, which are used for at least solving the problem that the air supply mode is not intelligent enough in the air conditioner operation process.
In order to achieve the above object, the invention adopts the following technical scheme:
the invention discloses a self-adaptive fresh air conditioning system in a first aspect, which comprises:
the outdoor temperature and humidity acquisition module is used for acquiring outdoor temperature and humidity information;
the temperature and humidity comparison module is used for comparing the outdoor temperature and humidity information with preset temperature and humidity information to obtain a first comparison result;
the fresh air module is used for responding to a received fresh air starting instruction to change fresh air;
the infrared image identification framework module is used for responding to the received infrared identification instruction to acquire indoor environment information and acquiring indoor personnel position and indoor temperature information according to the indoor environment image information;
and the control module is used for sending the fresh air starting instruction to the fresh air module according to the first comparison result, or sending the infrared identification instruction to the infrared image identification framework module according to the first comparison result, and adjusting the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
In a further alternative,
the infrared image identification framework module is also used for acquiring the indoor personnel temperature according to the indoor environment image information;
the temperature and humidity comparison module is further used for comparing the personnel temperature with a preset personnel temperature value to obtain a second comparison result;
and the control module is also used for sending an alarm instruction to an alarm prompting module of the air conditioning system to alarm when the second comparison result is abnormal.
Further optionally, the infrared image recognition architecture module includes:
the multi-scale multi-template pyramid network is used for preprocessing the indoor environment image information to obtain an image with the resolution of 128 x 128;
the depth residual convolution network is used for extracting the target characteristics of the image with the resolution of 128 x 128 to obtain a characteristic image;
the fusion multi-scale prediction target network is used for carrying out information fusion on the feature graph extracted by the depth residual convolution network and the feature graph extracted by the convolution layer with the corresponding scale to obtain features with different scales;
and the classifier is used for calculating corresponding probability values of the features with different scales and outputting a target class corresponding to the maximum probability value as a target of the whole image so as to acquire the position and/or the temperature of the person.
Further optionally, the feature map resolution size extracted by the depth residual convolution network includes: 32 × 32, 16 × 16, 8 × 8, 4 × 4, 2 × 2.
Further optionally, the depth residual convolution network extracts the feature map by: firstly, a feature map with the resolution of 64 multiplied by 64 is obtained after the processing of the residual convolution network unit, and then the feature map is processed by 5 groups of 4 multiplied by residual convolution network units.
Further optionally, the two 4 × residual convolution network units are adjusted by a convolution kernel with a preset size in a step size of two pixels to achieve the role of a pooling layer.
Further optionally, each of the 4 × residual convolutional network units is composed of a convolutional layer and a residual layer with a resolution of 1 × 1 and a resolution of 3 × 3.
Further optionally, the air conditioning system further comprises:
the dehumidification module is used for dehumidifying the fresh air conveyed by the fresh air module;
the control module is further used for sending the dehumidification starting instruction to the dehumidification module according to the first comparison result so as to control the initial module to perform dehumidification.
Further optionally, both the outdoor temperature and the outdoor humidity are qualified: the outdoor temperature in the outdoor temperature and humidity information is between 22 and 27 ℃, and the outdoor humidity in the outdoor temperature and humidity information does not exceed a preset humidity value;
qualified outdoor temperature and unqualified outdoor humidity: the outdoor temperature is between 22 and 27 ℃, and the outdoor humidity exceeds a preset humidity value;
unqualified outdoor temperature: the outdoor temperature is not between 22 and 27 ℃;
wherein: when the first comparison result shows that the outdoor temperature and the outdoor humidity are both qualified, the control module sends the fresh air starting instruction to the fresh air module;
when the first comparison result shows that the outdoor temperature is qualified and the outdoor humidity is unqualified, the control module sends the fresh air starting instruction to the fresh air module and sends a dehumidification starting instruction to the dehumidification module;
and when the first comparison result is that the outdoor temperature is unqualified, the control module sends an infrared identification instruction to the infrared image identification framework module and adjusts the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
The invention discloses an air conditioner in a second aspect, and the air conditioner adopts the air conditioning system.
Has the advantages that: the invention provides a self-adaptive fresh air conditioning system, which adopts a multi-mode infrared image fusion technology of an air conditioner external unit, can realize energy conservation and improve the comfort of users.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely exemplary embodiments of the present disclosure, and other drawings may be derived by those skilled in the art without inventive effort.
FIG. 1 illustrates a schematic layout of an air conditioning system according to an embodiment;
FIG. 2 illustrates an infrared image recognition architecture diagram of an embodiment;
fig. 3 shows a flow chart of the temperature, humidity and thermal infrared control fresh air conditioner according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
The existing air conditioner can not intelligently operate according to the conditions of the body temperature, the position, the outdoor actual temperature and humidity and the like of a user in the operation process, so that the user experience is poor, and the energy is not saved enough. According to the invention, the temperature sensor and the humidity sensor on the external air conditioner (the sensor outside the room is installed to avoid the external air conditioner) are used for reading in real time, so that the temperature and the operation mode of different air conditioners at different positions can be adjusted in a self-adaptive manner, the air conditioners are adjusted according to the difference of the temperature of the body surfaces of the user and the user group, when the external environment temperature changes, the indoor air conditioner can also give an alarm by combining the body surface temperature of the user, so that the comfort of the user can be improved, the aim of saving energy of the air conditioner is achieved, and the air conditioning system is more intelligent.
To further illustrate the technical solution of the present invention, the following specific examples are provided as shown in fig. 1 to 3.
Example 1
As shown in fig. 1-2, in the present embodiment, an adaptive fresh air conditioning system is provided, which includes:
the outdoor temperature and humidity acquisition module is used for acquiring outdoor temperature and humidity information;
the temperature and humidity comparison module is used for comparing the outdoor temperature and humidity information with preset temperature and humidity information to obtain a first comparison result;
the fresh air module is used for responding to a received fresh air starting instruction to change fresh air;
the infrared image identification framework module is used for responding to the received infrared identification instruction to acquire indoor environment information and acquiring indoor personnel position and indoor temperature information according to the indoor environment image information;
and the control module is used for sending a fresh air starting instruction to the fresh air module according to the first comparison result, or sending an infrared identification instruction to the infrared image identification framework module according to the first comparison result and adjusting the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
Preferably, the outdoor temperature and humidity acquisition module adopts a temperature and humidity sensor installed outside a room, and can avoid an air conditioner external unit, so that the accuracy of temperature and humidity information acquisition is ensured.
The air conditioning system in the embodiment can read the external temperature and humidity data related to the external temperature and humidity sensor of the air conditioner in real time; identifying a user by using a thermal infrared image and extracting the body surface temperature of the user; whether a user exists indoors or not is judged through thermal infrared, and the running state of the air conditioner is decided by extracting the body surface temperature and the outdoor real-time temperature of the user when the user exists indoors.
It should be noted that, the infrared image recognition architecture module may also detect whether a person is present in the room, and then perform a specific determination process of the position of the person if the person is present. According to the air conditioning system, the temperature and the operation mode of the fresh air conditioner are adjusted through the external temperature and humidity sensor related self-adaptive adjusting system, so that the comfort of a user can be improved, the purpose of air conditioning energy saving is achieved, the operation state of the air conditioner can be determined by judging how long the user leaves the room and leaves the room, and the temperature of the user is extracted, so that the air conditioner can be operated to reach the comfortable energy-saving state. If the user leaves the room for more than the preset time, the operation of the air conditioner is stopped, and the air conditioner enters a standby state.
In some optional manners, the infrared image recognition architecture module is further configured to obtain the temperature of the indoor person according to the indoor environment image information; the temperature and humidity comparison module is also used for comparing the temperature of the personnel with a preset temperature value of the personnel to obtain a second comparison result; the control module is also used for sending an alarm instruction to an alarm prompting module of the air conditioning system to alarm when the second comparison result is abnormal.
The infrared image recognition architecture module comprises: the multi-scale multi-template pyramid network is used for preprocessing the indoor environment image information to obtain an image with the resolution of 128 x 128; the depth residual convolution network is used for extracting target features of an image with the resolution of 128 multiplied by 128 to obtain a feature map; the fusion multi-scale prediction target network is used for carrying out information fusion on the feature graph extracted by the depth residual convolution network and the feature graph extracted by the convolution layer with the corresponding scale to obtain features with different scales; and the classifier is used for calculating corresponding probability values of the features with different scales and outputting the target category corresponding to the maximum probability value as the target of the whole image so as to acquire the position and/or the temperature of the personnel. Preferably, the feature map resolution size extracted by the depth residual convolution network includes: 32 × 32, 16 × 16, 8 × 8, 4 × 4, 2 × 2. The depth residual convolution network extracts the characteristic graph by adopting the following steps: firstly, a feature map with the resolution of 64 multiplied by 64 is obtained after the processing of the residual convolution network unit, and then the feature map is processed by 5 groups of 4 multiplied by residual convolution network units.
In this embodiment, the two 4 × residual convolution network units are adjusted by a convolution kernel with a preset size in a step size of two pixels to achieve the role of a pooling layer; each 4 x residual convolutional network unit consists of convolutional layers and residual layers with a resolution of 1 x 1 and a resolution of 3 x 3.
Specifically, as shown in fig. 2, the module is an infrared image recognition architecture module. The human body detection process of the multi-scale multi-template pyramid network comprises the following steps: an image with any size is input, firstly, multi-template and multi-scale image pyramid preprocessing is carried out, and the resolution of a detected image is set to be 128 x 128. And then extracting the characteristics of the target by adopting a deep residual convolution network, performing information fusion on the characteristic graph extracted from the residual layer and the characteristic graph extracted from the convolution layer with the corresponding scale by fusing a multi-scale prediction target network, and determining the personnel target and the position by using a Softmax function. The resolution of the feature map obtained by the depth residual convolution network after being processed by the residual convolution network unit is 64 × 64, and then 5 groups of operations including 4 ×, 4 ×, 4 ×, 4 ×, 4 ×, 4 × residual convolution network units are executed, that is, the network depth is continuously increased, so that the feature maps with the resolutions of 32 × 32, 16 × 16, 8 × 8, 4 × 4 and 2 × 2 are obtained respectively. It should be noted that, in the 5 groups of residual convolutional network units, except that the number of filters and the resolution of the feature map are different, the structure of each residual convolutional network unit is very similar, the two residual convolutional network units are adjusted by the step size of two pixels through convolution kernels with corresponding sizes to achieve the same effect as the pooling layer, and each residual convolutional network unit is composed of a convolutional layer with the resolution of 1 × 1 and the resolution of 3 × 3 and a residual layer.
The fusion multi-scale prediction target network can fuse a residual layer and the characteristic information of the convolutional layer with corresponding scales, and specifically, cascade operation is carried out on the characteristics extracted by the convolutional layers with different resolutions (2 x 2, 4 x 4, 8 x 8, 16 x 16 and 32 x 32) and the characteristics extracted by the residual layer, namely the fusion of the characteristic information, wherein the convolutional layer mainly carries out up-sampling operation on a characteristic map, the fused information is divided into 5 groups according to the difference of the resolutions, the characteristic map information is transmitted to a classifier by each group on the basis of sharing the information obtained from the residual convolutional network, and the classifier carries out the discrimination of the target category and the position.
The classifier adopts a Softmax function, can distinguish and output the probability value of each feature for each feature with different scales, selects the target category corresponding to the maximum probability value as the target of the whole image, thereby realizing the acquisition of the personnel target in the image and simultaneously outputting the position information of the target category in the fused multi-scale feature prediction target network.
In some optional manners, the air conditioning system further includes: the dehumidification module is used for dehumidifying the fresh air conveyed by the fresh air module; the control module is also used for sending a dehumidification starting instruction to the dehumidification module according to the first comparison result so as to control the initial module to dehumidify. The first comparison result includes: the outdoor temperature and the outdoor humidity are both qualified: the outdoor temperature in the outdoor temperature and humidity information is between 22 and 27 ℃, and the outdoor humidity in the outdoor temperature and humidity information does not exceed a preset humidity value, wherein the preset humidity value is a humidity value which is more than or equal to a human body comfortable humidity range (40 to 60 percent), and the preset humidity value can be set to be 60 percent; qualified outdoor temperature and unqualified outdoor humidity: the outdoor temperature is between 22 ℃ and 27 ℃, and the outdoor humidity exceeds a preset humidity value; unqualified outdoor temperature: the outdoor temperature is not between 22 ℃ and 27 ℃. Wherein: when the first comparison result shows that the outdoor temperature and the outdoor humidity are both qualified, the control module sends a fresh air starting instruction to the fresh air module; when the first comparison result shows that the outdoor temperature is qualified and the outdoor humidity is unqualified, the control module sends a fresh air starting instruction to the fresh air module and sends a dehumidification starting instruction to the dehumidification module; and when the first comparison result is that the outdoor temperature is unqualified, the control module sends an infrared identification instruction to the infrared image identification framework module and adjusts the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position. In addition, when the indoor humidity is lower than 40%, if the outdoor humidity exceeds 60%, the dehumidification efficiency of the dehumidification module can be reduced to ensure the comfort of the indoor humidity.
It should be noted that the air conditioning system may also divide the priorities of the adaptive adjustment in the adjustment process and the manual adjustment by the user, where the adaptive adjustment is performed in the manner of automatically adjusting the outdoor temperature and humidity, the indoor temperature and the human body temperature, and the like in this embodiment. If the priority set by the user alone is higher than the automatic setting (adaptive adjustment), the user setting may interrupt the automatic setting.
Example 2
In the present embodiment, there is provided an air conditioner employing the air conditioning system of any one of embodiments 1. Temperature and humidity sensor is external outside the building and is read outside the building humiture data in real time (external temperature and humidity sensor keeps away from the outer machine of air conditioner as far as possible), can have different real-time temperature in different places of different floors according to the user like this, for example arrived at midnight, it is very gentle when being a moment when reading external weather through external temperature and humidity sensor, the air conditioner just changes into the indoor running state of external air supply from the refrigeration mode state, reach that indoor temperature is comfortable, air conditioner energy saving purpose.
Based on the fresh air conditioning system composed of the external temperature and humidity sensor, the infrared image recognition framework module and the like, as shown in fig. 1 and fig. 3, the external temperature and humidity sensor of the air conditioner reads the relevant data of the temperature and the humidity outside the building, when the external temperature is in the range of 22 ℃ to 27 ℃, the external humidity is judged at this time, when the indoor humidity is lower than the moderate degree, and the external humidity is higher than the moderate degree (the humidity is 60%), the condition is that the fresh air conditioner starts the air supply function of the fresh air and filters partial humidity. When the outside temperature is not in the range of 22 to 27 c, temperature adjustment is performed according to the indoor ambient temperature and the user's condition and new air is input. Therefore, the temperature and humidity sensor and the infrared image identification framework module can perform coordination processing work and can save energy for adjustment. When the outside temperature is not within the range of 22-27 ℃, the infrared image recognition framework module is started to extract the indoor environment temperature and the user temperature for adjustment, when the indoor temperature is lower than 22 ℃, the temperature is automatically increased to 22 ℃, when the indoor temperature is higher than 27 ℃, the temperature is reduced to 27 ℃, then safety prompt is carried out according to the body surface temperature of the human body, and if the temperature is higher than a certain temperature, the user temperature is prompted to exceed the standard, and the fever risk exists. In addition, the temperature increase can also be fine-tuned when the body surface temperature is below a certain value set by the system (tentatively 36.8℃), and vice versa. It should be noted that the adjustment may be automatically selected by the user whether the adjustment is needed after prompting the user.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. The utility model provides an adaptive new trend air conditioning system which characterized in that, air conditioning system includes:
the outdoor temperature and humidity acquisition module is used for acquiring outdoor temperature and humidity information;
the temperature and humidity comparison module is used for comparing the outdoor temperature and humidity information with preset temperature and humidity information to obtain a first comparison result;
the fresh air module is used for responding to a received fresh air starting instruction to change fresh air;
the infrared image identification framework module is used for responding to the received infrared identification instruction to acquire indoor environment information and acquiring indoor personnel position and indoor temperature information according to the indoor environment image information;
and the control module is used for sending the fresh air starting instruction to the fresh air module according to the first comparison result, or sending the infrared identification instruction to the infrared image identification framework module according to the first comparison result, and adjusting the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
2. The air conditioning system of claim 1,
the infrared image identification framework module is also used for acquiring the indoor personnel temperature according to the indoor environment image information;
the temperature and humidity comparison module is further used for comparing the personnel temperature with a preset personnel temperature value to obtain a second comparison result;
and the control module is also used for sending an alarm instruction to an alarm prompting module of the air conditioning system to alarm when the second comparison result is abnormal.
3. The air conditioning system of claim 2, wherein the infrared image recognition architecture module comprises:
the multi-scale multi-template pyramid network is used for preprocessing the indoor environment image information to obtain an image with the resolution of 128 x 128;
the depth residual convolution network is used for extracting the target characteristics of the image with the resolution of 128 x 128 to obtain a characteristic image;
the fusion multi-scale prediction target network is used for carrying out information fusion on the feature graph extracted by the depth residual convolution network and the feature graph extracted by the convolution layer with the corresponding scale to obtain features with different scales;
and the classifier is used for calculating corresponding probability values of the features with different scales and outputting a target class corresponding to the maximum probability value as a target of the whole image so as to acquire the position and/or the temperature of the person.
4. The air conditioning system of claim 3, wherein the feature map resolution size extracted by the depth residual convolution network comprises: 32 × 32, 16 × 16, 8 × 8, 4 × 4, 2 × 2.
5. The air conditioning system of claim 4, wherein the depth residual convolution network extracts the feature map by: firstly, a feature map with the resolution of 64 multiplied by 64 is obtained after the processing of the residual convolution network unit, and then the feature map is processed by 5 groups of 4 multiplied by residual convolution network units.
6. The air conditioning system as claimed in claim 5, wherein the two 4 x residual convolution network units are adjusted by a convolution kernel of a preset size in a step size of two pixels to achieve the role of a pooling layer.
7. The air conditioning system of claim 5, wherein each of said 4 x residual convolutional network units is composed of convolutional layers and residual layers with a resolution of 1 x 1 and a resolution of 3 x 3.
8. The air conditioning system of claim 1, further comprising:
the dehumidification module is used for dehumidifying the fresh air conveyed by the fresh air module;
the control module is further used for sending the dehumidification starting instruction to the dehumidification module according to the first comparison result so as to control the initial module to perform dehumidification.
9. The air conditioning system of claim 8, wherein the first comparison result comprises:
the outdoor temperature and the outdoor humidity are both qualified: the outdoor temperature in the outdoor temperature and humidity information is between 22 and 27 ℃, and the outdoor humidity in the outdoor temperature and humidity information does not exceed a preset humidity value;
qualified outdoor temperature and unqualified outdoor humidity: the outdoor temperature is between 22 and 27 ℃, and the outdoor humidity exceeds a preset humidity value;
unqualified outdoor temperature: the outdoor temperature is not between 22 and 27 ℃;
wherein: when the first comparison result shows that the outdoor temperature and the outdoor humidity are both qualified, the control module sends the fresh air starting instruction to the fresh air module;
when the first comparison result shows that the outdoor temperature is qualified and the outdoor humidity is unqualified, the control module sends the fresh air starting instruction to the fresh air module and sends a dehumidification starting instruction to the dehumidification module;
and when the first comparison result is that the outdoor temperature is unqualified, the control module sends an infrared identification instruction to the infrared image identification framework module and adjusts the air outlet temperature and the air outlet direction of the air conditioner according to the indoor temperature information and the personnel position.
10. An air conditioner characterized in that the air conditioner employs the air conditioning system as claimed in any one of claims 1 to 9.
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