CN114705236A - Thermal comfort degree measuring method and device, air conditioner control method and device and medium - Google Patents
Thermal comfort degree measuring method and device, air conditioner control method and device and medium Download PDFInfo
- Publication number
- CN114705236A CN114705236A CN202210129856.3A CN202210129856A CN114705236A CN 114705236 A CN114705236 A CN 114705236A CN 202210129856 A CN202210129856 A CN 202210129856A CN 114705236 A CN114705236 A CN 114705236A
- Authority
- CN
- China
- Prior art keywords
- information
- thermal comfort
- individual
- obtaining
- sample
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000000691 measurement method Methods 0.000 claims description 13
- 230000007613 environmental effect Effects 0.000 claims description 11
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000001931 thermography Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 2
- 238000004378 air conditioning Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000007637 random forest analysis Methods 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a thermal comfort degree measuring method and device, an air conditioner control method, air conditioner control equipment and a medium. The thermal comfort degree measuring method is applied to a thermal comfort degree measuring device, and the thermal comfort degree measuring device is used for moving in an area to be measured; the thermal comfort measuring method comprises the following steps: obtaining the thermal comfort level of the sample of the individual in the area to be detected, and obtaining the target coordinate information of the individual; updating pose information to obtain a plurality of sample thermal comfort levels and a plurality of target coordinate information; and obtaining a target thermal comfort distribution map of the area to be measured according to the plurality of sample thermal comfort levels and the plurality of target coordinate information. The method and the device for measuring the thermal comfort of the individual can improve the applicability of the method for measuring the thermal comfort of the individual.
Description
Technical Field
The invention relates to the technical field of thermal comfort measurement, in particular to a thermal comfort measurement method and device, an air conditioner control method, air conditioner control equipment and a medium.
Background
At present, a human thermal comfort evaluation method (PMV) establishes an estimation model according to six factors influencing human thermal comfort, but the method is only suitable for evaluating the thermal comfort of a space with stable indoor parameters and uniformly distributed thermal environments, and is not suitable for the situation that the indoor thermal environments are not uniformly distributed or the individual thermal comfort feelings at different positions are differentiated.
In the related art, the problem of differentiation of individual thermal comfort feeling is solved through individual physiological characteristics acquired by a wearable device. However, in practical applications, it is not possible to define that all individuals in a public space wear wearable devices, and therefore the above method has certain limitations.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a thermal comfort degree measuring method, a device, an air conditioner control method, equipment and a medium, which can improve the applicability of the individual thermal comfort degree measuring method.
According to the thermal comfort measuring method of the embodiment of the first aspect of the invention, the thermal comfort measuring method is applied to a thermal comfort measuring device which is used for moving in an area to be measured; the thermal comfort measuring method comprises the following steps: obtaining the thermal comfort level of the sample of the individual in the area to be detected, and obtaining the target coordinate information of the individual; updating pose information to obtain a plurality of sample thermal comfort levels and a plurality of target coordinate information; and obtaining a target thermal comfort distribution map of the area to be measured according to the plurality of sample thermal comfort levels and the plurality of target coordinate information.
The thermal comfort measuring method provided by the embodiment of the invention has at least the following beneficial effects: through the thermal comfort degree measuring device capable of moving in the region to be measured, the thermal comfort degree and the target coordinate information of a plurality of individual samples in the region to be measured are obtained, and therefore the target thermal comfort degree distribution map of the region to be measured is constructed according to the thermal comfort degree and the target coordinate information of the plurality of samples. Therefore, the thermal comfort measuring method provided by the embodiment of the application avoids the situation that the sample thermal comfort is obtained through the wearable device worn by the individual, namely, the interaction with the individual is reduced, and therefore the applicability of the thermal comfort measuring method is improved.
According to some embodiments of the invention, the obtaining a sample thermal comfort level of an individual within the area under test comprises: acquiring characteristic information of the individual and acquiring temperature information of the individual; acquiring environmental information of an area where the individual is located; and obtaining the thermal comfort degree of the sample according to the characteristic information, the temperature information and the environment information.
According to some embodiments of the invention, the environmental information comprises at least one of ambient humidity, ambient temperature, ambient wind speed.
According to some embodiments of the invention, the obtaining the characteristic information of the individual comprises: acquiring a sample image; identifying the sample image, determining that the sample image contains a preset label, and marking the sample image as a target image; obtaining the characteristic information according to the target image; wherein the characteristic information includes at least one of age information, trunk information, clothing information, gender information, and body type information.
According to some embodiments of the invention, the obtaining target coordinate information of the individual comprises: obtaining an area map of the area to be detected according to the sample images and the corresponding pose information; obtaining a coordinate conversion relation according to the pose information and the regional map; obtaining a depth image of the individual, and obtaining sample coordinate information of the individual relative to the thermal comfort degree measuring device according to the depth image; and obtaining the target coordinate information of the individual relative to the area to be measured according to the sample coordinate information, the coordinate conversion relation and the corresponding pose information.
A thermal comfort measurement device according to an embodiment of the second aspect of the invention, comprises: a carrier; the information acquisition module is arranged on the bearing piece and is used for acquiring individual information of individuals in the area to be detected; the control module is arranged on the bearing piece, connected with the information acquisition module and used for acquiring the thermal comfort degree of the individual sample and the target coordinate information according to the individual information; the moving module is connected with the bearing piece and used for controlling the bearing piece to move in the area to be tested so as to enable the information acquisition module to acquire a plurality of individual information; the control module is used for obtaining a plurality of sample thermal comfort levels and a plurality of target coordinate information according to the individual information, and obtaining the target thermal comfort level distribution map according to the sample thermal comfort levels and the target coordinate information.
According to some embodiments of the invention, the individual information comprises a sample image, temperature information, environmental information, and a depth image; the information acquisition module includes: the camera shooting unit is connected with the control module and is used for acquiring the sample image; the infrared thermal imaging unit is connected with the control module and is used for acquiring the temperature information; the environment sensing unit is connected with the control module and is used for acquiring the environment information; wherein the environmental information comprises at least one of ambient temperature, ambient humidity and ambient wind speed; a depth camera connected with the control module, the depth camera for acquiring a depth image of the individual.
According to the air conditioning control method of the embodiment of the third aspect of the present invention, the area to be measured includes a plurality of sub-areas, the air conditioning control method including: obtaining the target thermal comfort profile according to the thermal comfort measurement method according to the first aspect; acquiring the average thermal comfort level of each sub-area in a preset period according to the target thermal comfort level distribution graph; and controlling at least one of the corresponding regional temperature and regional wind speed of the sub-region according to the average thermal comfort level and a preset range.
An electronic device according to a fourth aspect of the embodiment of the present invention includes: at least one processor; at least one memory for storing at least one program; when the at least one program is executed by the at least one processor, causing the at least one processor to implement the thermal comfort measurement method of any one of the first aspects.
A computer-readable storage medium according to an embodiment of the fifth aspect of the invention, wherein processor-executable instructions are stored, which when executed by a processor, are adapted to implement the thermal comfort measurement method according to any of the first aspect.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The invention is further described with reference to the following figures and examples, in which:
fig. 1 is a schematic flow chart of a thermal comfort measuring method according to an embodiment of the invention;
FIG. 2 is another schematic flow chart illustrating a thermal comfort level measuring method according to an embodiment of the invention;
FIG. 3 is another schematic flow chart of a thermal comfort measuring method according to an embodiment of the invention;
FIG. 4 is another schematic flow chart illustrating a thermal comfort level measuring method according to an embodiment of the invention;
fig. 5 is a schematic flow chart of an air conditioning control method according to an embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it should be understood that the orientation or positional relationship referred to in the description of the orientation, such as upper, lower, front, rear, left, right, etc., is based on the orientation or positional relationship shown in the drawings only for the convenience of description of the present invention and simplification of the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality is one or more, the meaning of a plurality is two or more, and the above, below, exceeding, etc. are understood as excluding the present numbers, and the above, below, within, etc. are understood as including the present numbers. If there is a description of first and second for the purpose of distinguishing technical features only, this is not to be understood as indicating or implying a relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
In the description of the present invention, reference to the description of "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples", etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Referring to fig. 1, an embodiment of the present application provides a thermal comfort measurement method, which is applied to a thermal comfort measurement device for moving in an area to be measured. The thermal comfort measurement method includes, but is not limited to, the steps of:
s110, obtaining the thermal comfort of the individual sample in the area to be detected, and obtaining the target coordinate information of the individual;
s120, updating pose information to obtain the thermal comfort degree of a plurality of samples and coordinate information of a plurality of targets;
s130, obtaining a target thermal comfort distribution map of the area to be measured according to the multiple sample thermal comfort levels and the multiple target coordinate information.
It will be appreciated that the thermal comfort measuring device is a device that can be moved within the area to be measured according to a preset program. The individual includes a human body, an animal body, and the like having a range of motion in the region to be measured, and the embodiment of the present application is not particularly limited. The area to be measured comprises a sub-area containing an individual and a sub-area not containing the individual, the thermal comfort measuring device moves in the area to be measured to move to the sub-area containing the individual, and therefore the individual information is obtained according to an information obtaining module arranged in the thermal comfort measuring device. The thermal comfort degree measuring device analyzes and processes the individual information to obtain the sample thermal comfort degree and the target thermal comfort degree of the individual. The individual information comprises information which can directly or indirectly influence the individual thermal comfort feeling after analysis processing operation.
And controlling the thermal comfort degree measuring device to move in different sub-areas in the area to be measured so as to obtain individual information of a plurality of individuals, and further obtaining the thermal comfort degree information of a plurality of individual samples and the target coordinate information. And according to the plurality of target coordinate information and the sample thermal comfort degree corresponding to each target coordinate information, constructing and obtaining a target thermal comfort degree distribution map of the region to be detected. The target coordinate information represents the position information of the individual in a reference coordinate system taking the area to be measured as a reference coordinate system, and the target thermal comfort degree distribution map is used for representing the distribution condition of the thermal comfort degree of the individual sample in the area to be measured based on the target coordinate information.
According to the thermal comfort measuring method, the thermal comfort measuring device capable of moving in the area to be measured is used for obtaining the thermal comfort of a plurality of individual samples and the target coordinate information in the area to be measured, and therefore the target thermal comfort distribution map of the area to be measured is constructed according to the thermal comfort of the plurality of samples and the target coordinate information. Therefore, the thermal comfort measuring method provided by the embodiment of the application avoids the situation that the sample thermal comfort is obtained through the wearable device worn by the individual, namely, the interaction with the individual is reduced, and therefore the applicability of the thermal comfort measuring method is improved.
Referring to fig. 2, in some embodiments, the step of "obtaining a sample thermal comfort level of an individual in a region to be tested" in step S110 includes, but is not limited to, the sub-steps of:
s210, obtaining characteristic information of an individual and obtaining temperature information of the individual;
s220, obtaining environment information of an area where the individual is located;
and S230, obtaining the thermal comfort of the sample according to the characteristic information, the temperature information and the environment information.
Specifically, when the thermal comfort level measuring device is moved to a sub-area containing an individual, the thermal comfort level measuring device acquires characteristic information of the individual and temperature information of the individual in the sub-area, and acquires environmental information in a sensing range. Wherein the characteristic information represents physiological information capable of distinguishing or influencing the thermal comfort feeling of the individual, such as age information, trunk information, clothing information, gender information, body type information and the like; the environment information represents environment information of a sub-area corresponding to the individual target coordinate information, such as an environment temperature, an environment humidity, an environment wind speed and the like. And taking the characteristic information, the temperature information and the environment information as input signals of a preset model to obtain the thermal comfort degree of the sample of the corresponding individual.
For example, seven integers-3 to 3 are used to represent different thermal comfort sensations, where-3 represents extremely cold, -2 represents cold, -1 represents slightly cold, 0 represents comfort, 1 represents slightly hot, 2 represents hot, and 3 represents extremely hot. And estimating the probability of the current thermal comfort of the individual in the seven types of thermal comfort feelings according to the input signal and the random forest classifier, and taking the thermal comfort feeling with the highest probability as the sample thermal comfort of the individual. It will be appreciated that the random forest model may be trained using the GINI index to optimize the estimation operation described above.
Referring to fig. 3, in some embodiments, the step S210 of "obtaining characteristic information of an individual" includes, but is not limited to, the sub-steps of:
s310, obtaining a sample image;
s320, identifying the sample image, determining that the sample image contains a preset label, and calibrating the sample image as a target image;
and S330, obtaining characteristic information according to the target image.
Specifically, in the process that the thermal comfort measuring device moves in the region to be measured, a plurality of sample images are acquired according to the information acquisition module, that is, the individual information includes the sample images. The thermal comfort measuring device identifies multiple sample images to determine whether to move to a sub-area containing an individual. For example, when the individual is a human body, the preset label is a human face, and the thermal comfort measuring device performs a human face recognition operation on a plurality of sample images. The thermal comfort degree measuring device marks the sample image of the recognized human face as a target image, and analyzes and processes the target image to obtain at least one of age information, trunk information, clothing information, gender information and body type information according to the target image.
For example, the thermal comfort measuring device estimates the section where the age of the individual in the target image is located according to the OpenCV gender age classifier, and takes the section age with the highest probability as the age information of the individual. The individual is distinguished from the background according to the BodyPix model to obtain torso information, body type information and the like of the individual. Secondly, the thermal comfort measuring device adopts a convolutional neural network based on Yolo-v3 to train in a DeepFashion2 data set, and a network model for clothing recognition is obtained. The garment identification network model can identify seven types of garment information including waistcoat slings, short-sleeved shorts, short-sleeved one-piece dresses, short-sleeved long-sleeved trousers, long-sleeved shorts, long-sleeved one-piece dresses and long-sleeved trousers.
It is understood that, in order to improve the accuracy of the characteristic information, when the preset label is recognized from the sample image, the thermal comfort level measuring device moves around the individual to acquire the sample image containing the preset label from different angles, i.e., acquire a plurality of target images.
Referring to fig. 4, in some embodiments, the step of "obtaining target coordinate information of an individual" in step S110 includes, but is not limited to, the sub-steps of:
s410, obtaining an area map of the area to be measured according to the sample images and the corresponding pose information;
s420, obtaining a coordinate transformation relation according to the pose information and the regional map;
s430, obtaining a depth image of the individual, and obtaining sample coordinate information of the individual relative to the thermal comfort measuring device according to the depth image;
and S440, obtaining target coordinate information of the individual relative to the area to be measured according to the sample coordinate information, the coordinate conversion relation and the corresponding pose information.
Specifically, before the thermal comfort measuring device moves within the region to be measured, position information and attitude information, that is, pose information, are initialized. In the moving process, the thermal comfort degree measuring device estimates the current pose information according to the change of the feature points in the two adjacent frame sample images, such as: extracting FAST characteristic point set P of the n frame sample imagenAnd FAST feature point set P of the sample image of the (n + 1) th framen+1. And calculating the similarity between the two feature point sets by a BRIEF descriptor algorithm, and obtaining the corresponding relation of the feature points in the two feature point sets by using an iterative nearest neighbor algorithm, so as to obtain the pose information of the thermal comfort measuring device when the thermal comfort measuring device obtains the nth frame sample image according to the corresponding relation and the pose information of the thermal comfort measuring device obtains the current (n + 1) th frame sample image. And splicing the plurality of sample images according to the pose information so as to obtain an area map representing the image of the area to be detected. And taking the area map as a reference coordinate system, and obtaining a coordinate conversion relation T (R, T) between the position and attitude information of the thermal comfort measuring device and the area map, wherein T represents a coordinate point of the thermal comfort measuring device establishing the coordinate system by initializing the position and attitude information, R represents a conversion matrix, and T represents a coordinate point taking the area map as the reference coordinate system.
When the thermal comfort degree measuring device determines to move to the sub-area containing the individual according to the sample image, the thermal comfort degree measuring device obtains the depth image of the individual through the information obtaining module and obtains the individual according to the depth imageDistance from thermal comfort measuring device, and sample coordinate information (X) of individual in thermal comfort measuring device view angleC，YC，ZC) So as to calculate the target coordinate information (X) of the individual in the region to be measured by taking the regional map as a reference coordinate system according to the following formula (1)g，Yg，Zg)。
It is to be understood that, the identification and analysis processing process described in the foregoing embodiment may be operated locally by the control module disposed inside the thermal comfort level measuring device, or the control module sends the corresponding information to the cloud end for operation, which is not limited in this embodiment.
The embodiment of the application also provides a thermal comfort measuring device, which comprises a bearing piece, an information acquisition module, a control module and a mobile module. The information acquisition module is arranged on the bearing piece and used for acquiring individual information of individuals in the area to be detected. The control module is arranged on the bearing piece and connected with the information acquisition module, and the control module is used for obtaining the thermal comfort degree and the target coordinate information of the individual sample according to the individual information. The mobile module is connected with the bearing piece and used for controlling the bearing piece to move in the area to be tested so that the information acquisition module can acquire a plurality of individual information. The control module is used for obtaining a plurality of sample thermal comfort levels and a plurality of target coordinate information according to the plurality of individual information, and obtaining a target thermal comfort level distribution map according to the plurality of sample thermal comfort levels and the plurality of target coordinate information.
In some embodiments, the individual information includes a sample image, temperature information, environmental information, and a depth image. The information acquisition module comprises a camera shooting unit, an infrared thermal imaging unit, an environment sensing unit and a depth camera. The camera shooting unit is connected with the control module and used for obtaining a sample image. The environment sensing unit is connected with the control module and used for acquiring environment information, wherein the environment information comprises at least one of environment temperature, environment humidity and environment wind speed. The depth camera is connected with the control module and used for acquiring the depth image of the individual.
Specifically, the thermal comfort measuring device comprises a mobile module for controlling movement and a bearing piece for bearing the control module, the camera shooting unit, the infrared thermal imaging unit, the environment sensing unit and the depth camera, wherein the bearing piece is connected with the mobile module and follows the movement of the mobile module, so that the information acquisition module (comprising the camera shooting unit, the infrared thermal imaging unit, the environment sensing unit and the depth camera) can acquire individual information of a plurality of individuals in the area to be detected. The camera shooting unit comprises a color camera shooting module, the camera shooting unit is used for obtaining a sample image, and the control module is used for obtaining a target image according to the sample image and further obtaining individual characteristic information according to the target image. When the control module confirms that the thermal comfort degree measuring device moves to the sub-area containing the individual according to the target image, the control module controls the infrared thermal imaging unit to acquire the infrared thermal radiation image of the individual, and the control module obtains the temperature information of the individual according to the infrared thermal radiation image. Meanwhile, the control module is also used for controlling the depth camera to acquire the depth image of the individual and controlling the environment sensing unit to acquire the environment information in the sensing range. The control module obtains the thermal comfort of the individual sample according to the environmental information, the temperature information and the characteristic information, and obtains the target coordinate information of the individual according to the depth information. The control module can construct and obtain a target thermal comfort distribution map of the area to be measured according to the target coordinate information and the sample thermal comfort corresponding to each target coordinate information.
It is understood that the environment sensing unit includes a plurality of different types of sensors according to the kind of the environment information, for example, when the environment information includes an ambient humidity, an ambient temperature, and an ambient wind speed, the environment sensing unit includes a humidity sensor, a temperature sensor, and a wind speed sensor.
It can be seen that the contents in the embodiments of the thermal comfort measuring method are all applicable to the embodiments of the thermal comfort measuring apparatus, the functions specifically implemented by the embodiments of the thermal comfort measuring apparatus are the same as those in the embodiments of the thermal comfort measuring method, and the beneficial effects achieved by the embodiments of the thermal comfort measuring method are also the same as those achieved by the embodiments of the thermal comfort measuring method.
Referring to fig. 5, the present application further provides an air conditioner control method, where the air conditioner control method is used to control an air conditioner in a region to be measured, and the region to be measured includes a plurality of sub-regions. The air conditioner control method comprises but is not limited to the following steps:
s510, obtaining a target thermal comfort level distribution map according to a thermal comfort level measuring method;
s520, obtaining the average thermal comfort level of each sub-area in a preset period according to the target thermal comfort level distribution diagram;
and S530, controlling at least one of the area temperature and the area wind speed of the corresponding sub-area according to the average thermal comfort degree and the preset range.
In particular, the thermal comfort measuring method described in any of the above embodiments can be applied to control of an intelligent building heating, ventilating and air conditioning system. The air conditioning control system obtains a target thermal comfort distribution map according to the thermal comfort measuring method described in any one of the embodiments, the area to be measured is used as an area to be monitored in the building, and the area to be measured is divided into a plurality of sub-areas according to the positions of the air conditioning outlets in the air conditioning system. Wherein the target thermal comfort profile is used to characterize the thermal comfort of the individual in all sub-regions. In a preset period, the air conditioner control system obtains an average value of the individual thermal comfort levels (namely, an average thermal comfort level) in each sub-area according to the target thermal comfort level distribution diagram, compares the average thermal comfort level with a preset range, and controls at least one of the temperature and the wind speed of the air conditioner corresponding to the sub-area according to a comparison result, so that the air conditioner system is accurately controlled.
For example, the preset range is [ -1,1], and when the average thermal comfort level is less than-1, the air conditioning control system controls the temperature of the corresponding air conditioning elevated area; and when the average thermal comfort degree is more than 1, the air conditioner control system controls the corresponding air conditioner to reduce the temperature of the area.
An embodiment of the present application further provides an electronic device, including: the system includes at least one processor, and a memory communicatively coupled to the at least one processor. Wherein the memory stores instructions for execution by the at least one processor to cause the at least one processor to perform the thermal comfort measurement method as described in any of the above embodiments when executing the instructions.
An embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for: the thermal comfort measuring method described in any of the above embodiments is performed.
The above-described embodiments of the apparatus are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present application have been described in detail with reference to the drawings, but the present application is not limited to the embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present application. Furthermore, the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
Claims (10)
1. The thermal comfort measuring method is characterized in that the thermal comfort measuring method is applied to a thermal comfort measuring device which is used for moving in an area to be measured;
the thermal comfort measuring method comprises the following steps:
obtaining the thermal comfort level of the sample of the individual in the area to be detected, and obtaining the target coordinate information of the individual;
updating pose information to obtain a plurality of sample thermal comfort levels and a plurality of target coordinate information;
and obtaining a target thermal comfort distribution map of the area to be measured according to the plurality of sample thermal comfort levels and the plurality of target coordinate information.
2. The method according to claim 1, wherein the obtaining a sample thermal comfort level of an individual in the area under test comprises:
acquiring characteristic information of the individual and acquiring temperature information of the individual;
acquiring environmental information of an area where the individual is located;
and obtaining the thermal comfort degree of the sample according to the characteristic information, the temperature information and the environment information.
3. The thermal comfort measurement method according to claim 2, wherein the environmental information includes at least one of ambient humidity, ambient temperature, and ambient wind speed.
4. The thermal comfort measurement method according to claim 2, wherein the acquiring characteristic information of the individual includes:
acquiring a sample image;
identifying the sample image, determining that the sample image contains a preset label, and marking the sample image as a target image;
obtaining the characteristic information according to the target image; wherein the characteristic information includes at least one of age information, trunk information, clothing information, gender information, and body type information.
5. The thermal comfort measurement method according to claim 4, wherein the acquiring target coordinate information of the individual includes:
obtaining an area map of the area to be detected according to the sample images and the corresponding pose information;
obtaining a coordinate conversion relation according to the pose information and the regional map;
obtaining a depth image of the individual, and obtaining sample coordinate information of the individual relative to the thermal comfort degree measuring device according to the depth image;
and obtaining the target coordinate information of the individual relative to the area to be measured according to the sample coordinate information, the coordinate conversion relation and the corresponding pose information.
6. Thermal comfort measuring device, characterized by comprising:
a carrier;
the information acquisition module is arranged on the bearing piece and is used for acquiring individual information of individuals in the area to be detected;
the control module is arranged on the bearing piece, is connected with the information acquisition module and is used for obtaining the thermal comfort degree of the individual sample and the target coordinate information according to the individual information;
the moving module is connected with the bearing piece and used for controlling the bearing piece to move in the area to be tested so as to enable the information acquisition module to acquire a plurality of individual information;
the control module is used for obtaining a plurality of sample thermal comfort levels and a plurality of target coordinate information according to the individual information, and obtaining the target thermal comfort level distribution map according to the sample thermal comfort levels and the target coordinate information.
7. The thermal comfort measurement device of claim 6, wherein the individual information includes a sample image, temperature information, environmental information, and a depth image;
the information acquisition module includes:
the camera shooting unit is connected with the control module and is used for acquiring the sample image;
the infrared thermal imaging unit is connected with the control module and is used for acquiring the temperature information;
the environment sensing unit is connected with the control module and is used for acquiring the environment information; wherein the environmental information comprises at least one of ambient temperature, ambient humidity and ambient wind speed;
a depth camera connected with the control module, the depth camera for acquiring a depth image of the individual.
8. The air conditioner control method is characterized in that the area to be measured comprises a plurality of sub-areas, and the air conditioner control method comprises the following steps:
acquiring the target thermal comfort profile according to the thermal comfort measurement method of any one of claims 1 to 5;
acquiring the average thermal comfort level of each sub-region in a preset period according to the target thermal comfort level distribution map;
and controlling at least one of the corresponding regional temperature and regional wind speed of the sub-region according to the average thermal comfort level and the preset range.
9. An electronic device, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the thermal comfort measurement method of any one of claims 1 to 5.
10. Computer readable storage medium having stored therein processor executable instructions, characterized in that the processor executable instructions, when executed by a processor, are for implementing a thermal comfort measurement method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210129856.3A CN114705236A (en) | 2022-02-11 | 2022-02-11 | Thermal comfort degree measuring method and device, air conditioner control method and device and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210129856.3A CN114705236A (en) | 2022-02-11 | 2022-02-11 | Thermal comfort degree measuring method and device, air conditioner control method and device and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114705236A true CN114705236A (en) | 2022-07-05 |
Family
ID=82167126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210129856.3A Pending CN114705236A (en) | 2022-02-11 | 2022-02-11 | Thermal comfort degree measuring method and device, air conditioner control method and device and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114705236A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103994788A (en) * | 2014-04-25 | 2014-08-20 | 中国家用电器研究院 | Indoor thermal comfort detection system |
| CN106255929A (en) * | 2014-04-25 | 2016-12-21 | 尚飞公司 | For the method controlled and/or monitor at least one actuator |
| US20190120518A1 (en) * | 2016-05-23 | 2019-04-25 | Hanon Systems | Movable air conditioner |
| CN109974787A (en) * | 2019-04-23 | 2019-07-05 | 西安建筑科技大学 | A kind of architecture indoor intelligence thermal comfort monitoring device and its monitoring method |
| CN110717385A (en) * | 2019-08-30 | 2020-01-21 | 西安文理学院 | Dynamic gesture recognition method |
| CN111457571A (en) * | 2020-05-13 | 2020-07-28 | 张定一 | Method, equipment and system for controlling indoor relative temperature and humidity |
| CN113739376A (en) * | 2020-05-27 | 2021-12-03 | 广东美的制冷设备有限公司 | Air conditioning system, control method of air conditioning system, and computer-readable storage medium |
-
2022
- 2022-02-11 CN CN202210129856.3A patent/CN114705236A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103994788A (en) * | 2014-04-25 | 2014-08-20 | 中国家用电器研究院 | Indoor thermal comfort detection system |
| CN106255929A (en) * | 2014-04-25 | 2016-12-21 | 尚飞公司 | For the method controlled and/or monitor at least one actuator |
| US20190120518A1 (en) * | 2016-05-23 | 2019-04-25 | Hanon Systems | Movable air conditioner |
| CN109974787A (en) * | 2019-04-23 | 2019-07-05 | 西安建筑科技大学 | A kind of architecture indoor intelligence thermal comfort monitoring device and its monitoring method |
| CN110717385A (en) * | 2019-08-30 | 2020-01-21 | 西安文理学院 | Dynamic gesture recognition method |
| CN111457571A (en) * | 2020-05-13 | 2020-07-28 | 张定一 | Method, equipment and system for controlling indoor relative temperature and humidity |
| CN113739376A (en) * | 2020-05-27 | 2021-12-03 | 广东美的制冷设备有限公司 | Air conditioning system, control method of air conditioning system, and computer-readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 王帮能 等: "丰都县旅游气候舒适度评价及开发对策", 《西南师范大学学报(自然科学版)》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11392146B2 (en) | Method for detecting target object, detection apparatus and robot | |
| CN110044486B (en) | Method, device and equipment for avoiding repeated alarm of human body inspection and quarantine system | |
| CN109145864A (en) | Determine method, apparatus, storage medium and the terminal device of visibility region | |
| CN109886994B (en) | Self-adaptive occlusion detection system and method in video tracking | |
| KR20200100806A (en) | Analysis of captured images to determine test results | |
| US11315264B2 (en) | Laser sensor-based map generation | |
| CN111353450B (en) | Target recognition system and method based on heterogeneous electromagnetic perception information fusion | |
| CN111920391B (en) | Temperature measuring method and equipment | |
| CN109389029A (en) | Looking-for-person method, device, system and storage medium based on automobile data recorder | |
| CN108320300A (en) | A kind of space-time context visual tracking method of fusion particle filter | |
| CN105121620A (en) | Image processing device, image processing method, program, and storage medium | |
| CN113052295B (en) | Training method of neural network, object detection method, device and equipment | |
| CN104951055B (en) | The method and apparatus and air-conditioning equipment of the operation mode of equipment are set | |
| CN111274862A (en) | Device and method for generating a label object of a surroundings of a vehicle | |
| CN108460370A (en) | A kind of fixed poultry life-information warning device | |
| CN113888583A (en) | Real-time judgment method and device for visual tracking accuracy | |
| Haggui et al. | A comparison of opencv algorithms for human tracking with a moving perspective camera | |
| CN114705236A (en) | Thermal comfort degree measuring method and device, air conditioner control method and device and medium | |
| EP3074844B1 (en) | Estimating gaze from un-calibrated eye measurement points | |
| KR100998709B1 (en) | A method of robot localization using spatial semantics of objects | |
| CN109034137B (en) | Head pose flag update method, apparatus, storage medium and terminal device | |
| CN111240217A (en) | State detection method and device, electronic equipment and storage medium | |
| CN113628251B (en) | Smart hotel terminal monitoring method | |
| JP2020160901A (en) | Object tracking device and object tracking method | |
| Tsai et al. | Design of vision‐based indoor positioning based on embedded system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220705 |