TW202242326A - Air-conditioning control system based on human comfort - Google Patents

Abstract

An air-conditioning control system based on human comfort is applied to an air conditioner in a space. The air-conditioning control system comprises an environmental sensing unit, a camera device, and a computing device. The environmental sensing unit is to sense the environmental condition of the space and outputs sensing data accordingly. The camera device is to capture and output a real-time image of the space, wherein the real-time image includes person(s) in the image. The computing device stores a posture recognition model, a clothing recognition model, and a program package for comfort estimation. The real-time image is transmitted to the posture recognition model and the clothing recognition model. Based on recognition results from the models and the sensing data, the program package generates a comfort reference value. The computing device controls the operation of the air conditioner according to the comfort reference value.

Description

Air Conditioning Control System Based on Personnel Comfort

The invention relates to an air-conditioning control system, in particular to an air-conditioning control system based on personnel comfort.

It is known that an air conditioner installed in an indoor space (such as an air conditioner) has a temperature detector for detecting an indoor temperature, and the user can operate a remote controller to output a temperature setting value to the air conditioner equipment, the controller of the air-conditioning equipment can judge whether the indoor temperature is higher than the temperature setting value. When the controller judges that the indoor temperature is higher than the temperature setting value, the controller can increase the operating power of the compressor motor of the air conditioner to enhance the cooling effect; on the contrary, when the controller judges that the indoor temperature is lower than With the temperature setting value, the controller can reduce the operating power of the compressor motor of the air conditioner to achieve power saving effect.

It can be seen that the conventional air-conditioning equipment only unilaterally decides whether to enhance the effect of cooling the room according to the level of the indoor temperature. However, the indoor temperature cannot effectively reflect the body temperature of the indoor occupants, resulting in the conventional air-conditioning equipment enhancing or weakening the cooling effect. The timing of the effect often cannot satisfy the indoor occupants, so that the indoor occupants feel too cold or the effect of the cooling room is insufficient, causing troubles in use.

In view of this, the main purpose of the present invention is to provide an air-conditioning control system based on personnel comfort, in order to overcome the disadvantage that conventional air-conditioning equipment often cannot satisfy indoor personnel when enhancing or weakening the effect of cooling the room.

The air-conditioning control system based on personnel comfort of the present invention is supplied for at least one air-conditioning device in a space, the air-conditioning control system comprising: An environment sensing unit, which detects the environment of the space and correspondingly outputs an environment sensing data; a camera device that shoots and outputs a real-time image of the space, the real-time image includes at least one portrait; and A computing device, signally connected to the environment sensing unit, the camera device and the at least one air-conditioning device, the computing device stores a human body posture recognition model, a clothing recognition model and a human body comfort program suite; the computing device will real-time The image is input to the human body posture recognition model and the clothing recognition model, and the calculation of the human body comfort program suite is implemented according to the recognition information and the environmental sensing data to obtain a comfort evaluation value. The computing device is based on the comfort evaluation The value controls the operation status of the at least one air conditioner.

To sum up, in addition to the environmental sensing data, the present invention also implements the calculation of the human body comfort program suite according to the recognition information of the body posture recognition model and the clothing recognition model to obtain the comfort evaluation value, and the comfort The evaluation value of the degree of comfort is related to the comfort degree felt by the personnel at the moment, so it can be seen that the evaluation value of the degree of comfort is one of the bases for controlling the operation state of the air conditioner in the present invention. Compared with the conventional air conditioner, the present invention does not only decide whether to enhance the effect of cooling the room according to the indoor temperature, but comprehensively considers the personnel posture, clothing and environmental sensing data to control the at least one air conditioner. The operating state of the equipment, under this comprehensive consideration, can relatively make people feel more comfortable.

The air-conditioning control system of the present invention is used for at least one air-conditioning device in a space, which can be an indoor space, such as a classroom, office, meeting room, auditorium, room, living room, etc., but not limited to the aforementioned examples, the The quantity of at least one air conditioner can be one or more, and its quantity and installation location can be determined according to the size or the number of squares of the space. The at least one air conditioner can be an air conditioner, a heater, or an air conditioner. In the embodiment of the present invention, the at least one air conditioner is described by taking an air conditioner as an example.

Please refer to FIG. 1, an embodiment of the air conditioning control system of the present invention includes an environment sensing unit 10, a camera device 20, and a computing device 30. The configuration may refer to FIG. 2 as an example. The space S is provided with a platform 40, seats The chair 41 and an air conditioner 42, the air outlet of the air conditioner 42 faces the interior of the space S.

The environment sensing unit 10 detects the environment of the space S and correspondingly outputs an environment sensing data 100. The environment sensing unit 10 may include a dry bulb thermometer 11, a black bulb thermometer 12, a relative humidity meter 13 and an air At least one of the flow meter 14, the dry bulb thermometer 11, the black bulb thermometer 12, the relative humidity meter 13, and the air velocity meter 14 can be electronic sensing devices, which can be arranged at appropriate positions in the space according to requirements (e.g. ceiling, wall or floor). Alternatively, the dry bulb thermometer 11 , the black bulb thermometer 12 and the relative humidity meter 13 can be an integrated measuring instrument.

The dry-bulb thermometer 11 is for outputting a dry-bulb temperature signal tdb, which reflects the temperature of the space S sensed by the dry-bulb thermometer 11, and its unit may be Celsius (°C) or Fahrenheit (°F); the black-bulb thermometer 12 is for Output a black bulb temperature signal tr, which reflects the temperature of the space S sensed by the black bulb thermometer 12, and its unit can be Celsius (°C) or Fahrenheit (°F); the relative humidity meter 13 is for outputting a relative humidity signal rh, which reflects the relative humidity of the space S sensed by the relative humidity meter 13, which can be a percentage (%) value; The measured air circulation state of the space can be in meters per second (m/s). For example, the air velocity meter 14 can be arranged at the doors and windows. Correspondingly, the environment sensing data 100 output by the environment sensing unit 10 may include at least one of the dry bulb temperature signal tdb, the black bulb temperature signal tr, the relative humidity signal rh, and the air velocity signal vr.

The camera device 20 is set in the space S and shoots towards the space S. The camera device 20 outputs a real-time image 200 of the space S, wherein, when there is at least one person in the space S and the at least one person enters the space S In the shooting range of the camera device 20, the real-time image 200 may include at least one portrait corresponding to the at least one person. The camera device 20 can be, for example, a digital camera, a network camera, an action camera, or a smart phone or a tablet computer with a shooting function.

The computing device 30 is signal-connected to the environment sensing unit 10, the camera device 20 and the at least one air conditioner 42 for mutual signal and data transmission, so the computing device 30 can receive real-time information from the environment sensing unit 10. The environment sensing data 100, the computing device 30 can receive the real-time image 200 from the camera device 20, the computing device 30 can output a control signal CS to the at least one air conditioner 42 to control the operation of the at least one air conditioner 42 State, for example, the air conditioner 42 is activated to discharge cold air, or is stopped and does not discharge cold air.

The signal connection means of the computing device 30 to the environment sensing unit 10 , the camera device 20 and the at least one air conditioner 42 may be a wired connection means or a wireless connection means. Taking wired connection means as an example, the computing device 30 can be connected to the camera device 20 through a physical transmission line, such as a high-definition multimedia interface (HDMI) transmission line or a universal serial bus (USB) transmission line; The computing device 30 can be connected to the electronic sensing device in the environmental sensing unit 10 through a physical signal line; the computing device 30 can be connected to the control contacts/pins of the control circuit boards of the air-conditioning equipment 42 through a physical signal line . On the other hand, the wireless connection means can use the short-range wireless communication technology of the Internet of Things. For example, the computing device 30 can be connected to the camera device 20, each of the air conditioners 42 and/or via WiFi communication technology or Bluetooth (Bluetooth) communication technology. Or the electronic sensing device in the environmental sensing unit 10, and through the wireless connection means, the project of physical wiring wiring in the space S can be avoided. In the example shown in FIG. 2, the space S is provided with a WiFi device 50 for wireless connection of each device.

The calculation device 30 implements calculations of a human body posture recognition model M(met), a clothing recognition model M(col) and a human body comfort program suite P(comfort), and controls the operation of the air conditioner according to the calculation results, Wherein, the human posture recognition model M(met) and the clothing recognition model M(col) are image recognition models, please refer to FIG. 3 , the computing device 30 inputs the real-time image 200 to the human posture recognition model M(met ) to obtain a human body posture information X1, that is, the human body posture information X1 is the output information of the human body posture recognition model M(met), and input the real-time image 200 to the clothing recognition model M(col) to obtain a clothing The information X2, that is, the clothing information X2 is the output information of the clothing recognition model M(col).

The computing device 30 can be a desktop computer, a notebook computer or a cloud computing device, and the computing device 30 includes a storage unit 31, which is used to store the human body posture recognition model M(met), the clothing recognition The model M(col), the human comfort program package P(comfort) and the program data related to the control of the air conditioner. The storage unit 31 can be, for example, a traditional hard disk (HDD), solid state disk (SSD), memory card or memory. The computing device 30 includes a central processing unit (CPU) or a graphics processing unit (GPU), so the program data can be executed by the central processing unit (CPU) or the graphics processing unit (GPU) to implement the human body posture Identify the calculation of the model M(met), the clothing recognition model M(col) and the human comfort program suite P(comfort), and implement the air conditioner 42 according to the execution results of the human comfort program suite P(comfort) operation control.

The program data as mentioned above can be established in the Python programming language, but not limited to the Python programming language, that is to say, the human body posture recognition model M(met), the clothing recognition model M(col) and the human body comfort program suite The program data of P(comfort) can adopt the existing technology. For example, the program data of the human body posture recognition model M(met) and the clothing recognition model M(col) can be downloaded on the Github website platform, wherein the human body posture recognition model M( met) can use the OpenPose open source code (reference URL: https://github.com/CMU-Perceptual-Computing-Lab/openpose). The clothing recognition model M(col) can use OpenCV open source code (reference URL: https://github.com/EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10). The program data of the human body comfort program package P (comfort) can adopt the pythermalcomfort public program package, and the version used in the present invention is 1.3.6 (reference website: https://pypi.org/project/pythermalcomfort/). Therefore, the human body posture recognition model M(met), the clothing recognition model M(col) and the human body comfort program suite P(comfort) are existing publicly available information, and their program structure and operation will not be described in detail here principle.

After downloading and storing the human posture recognition model M(met) and the clothing recognition model M(col) in the storage unit 31, each model can be trained. Examples of training picture samples can refer to FIGS. 4A is a training picture sample 61 of a person showing a "standing posture" and wearing "long clothes and trousers". Fig. 4B is a training picture sample 62 of a person showing a "standing posture" and wearing "long clothes and shorts". A training picture sample 63 of a person in a "standing posture" and wearing "short pants". "Short clothes and shorts" training image sample 65. It should be noted that the training picture samples have various styles. Figures 4A to 4E are examples for reference only, and are not limited thereto. For example, people in other training picture samples may present squatting postures, walking and running , or wearing long skirts, short skirts...etc. Therefore, through the training of the model, the recognition accuracy of the human body posture recognition model M(met) and the clothing recognition model M(col) can be improved, and when the present invention is actually used, the human body posture recognition model M(met) and the clothing recognition model M(col) respectively are models that have completed training.

In the above, the human body posture information X1 can reflect the posture of the person in the space, such as sitting posture, standing posture, walking posture or running posture...etc.; the clothing information X2 can reflect the person's wearing in the space, such as long (sleeve) clothes, short (sleeved) clothes, trousers (skirts) or shorts (skirts)...etc. It can be seen that the body temperature of a person is closely related to the body posture information X1 and the clothing information X2, for example, a person who is running feels hotter than a person who is sitting, or a person who wears short-sleeved clothes feels colder than a person who wears long-sleeved clothes . A comfort evaluation value Y as shown in FIG. 6 is calculated according to the human body posture information X1 and the clothing information X2. Therefore, the computing device 30 of the present invention controls the at least one comfort evaluation value Y according to the comfort evaluation value Y. The operating state of the air-conditioning equipment 42 can make people feel comfortable, and the details are as follows.

The human body posture information X1 includes at least one posture recognition result Xa and at least one person quantity value Xb, and a posture recognition result Xa corresponds to a person quantity value Xb; the clothing information X2 includes at least one clothing recognition result Xc and at least one clothing quantity value Xd, a clothing recognition result Xc corresponds to a clothing quantity value Xd. For example, FIG. 5 is one of the real-time images 200 captured by the computing device 30 from the camera device 20 (FIG. 5 only presents a schematic diagram of a portrait, and the background scene can be omitted). The human body posture recognition model M(met) is based on the The at least one posture recognition result Xa recognized by the real-time image 200 includes "standing posture", and the at least one person number value Xb includes "2", that is, two standing people are recognized in the real-time image 200 . On the other hand, the at least one clothing recognition result Xc identified by the clothing recognition model M(col) according to the real-time image 200 includes "long clothes", "short clothes", "long trousers" and "short pants". , the at least one clothing quantity value Xd includes "1", "1", "1" and "1", that is, it is recognized that in the real-time image 200 there is a long garment, a short garment, a pair of trousers and A pair of shorts. As mentioned above, the identification results of Figure 5 are organized in the following table: Posture recognition result number of people Clothing recognition results Clothing Quantity Value live image standing 2 Long coat 1 jacket 1 trousers 1 shorts 1

Please refer to the table below, the storage unit 31 can store a metabolic comparison table Table_met, and the metabolic comparison table Table_met includes a plurality of posture states and a metabolic reference value corresponding to each posture state.

attitude state metabolic reference value sitting position 1 standing 1.2 walk 2.0

Please refer to the table below, the storage unit 31 can store a clothing comparison table Table_col, the clothing comparison table Table_col includes a plurality of clothing states and a clothing reference value corresponding to each clothing state.

dress status clothing reference value shorts 0.06 trousers 0.24 jacket 0.17 Long coat 0.34

It should be noted that the postures that can be recognized by the human body posture recognition model M(met) and the content of the metabolic comparison table Table_met are not limited to "standing posture", "sitting posture" and "walking". The clothing recognition model M(col ) identifiable clothing and the content of the clothing comparison table Table_col are not limited to "long clothing", "short clothing", "long trousers" and "short pants". The present invention only provides examples for illustration.

Specifically, the content of the metabolic comparison table Table_met and the clothing comparison table Table_col can be based on the existing public information, referring to Standard No. 55-2010 of the American Society of Heating, Refrigerating, and Air Condition Engineers (ASHRAE) "ANSI/ASHRAE Standard 55-2010: Thermal Environmental Conditions for Human Occupancy" (as attached), data URL: http://arco-hvac.ir/wp-content/uploads/2015/11/ASHRAE-55-2010. pdf. Among them, Table A1 (TABLE A1: Metabolic Rates for Typical Tasks) in ANSI/ASHRAE Standard 55-2010 can be used as the attitude state (corresponding to the Activity column of the table A1) and the metabolic reference value ( Corresponding to the reference basis of the Met Units column of Table A1). Table B2 (TABLE B2: Garment Insulation) in ANSI/ASHRAE Standard 55-2010 can be used to establish the clothing status (corresponding to the Garment Description column of the table B2) and the clothing reference value (corresponding to the table B2) in the clothing comparison table Table_col I _clu , col field). Therefore, the user can pre-input the contents of the metabolic table Table_met and the clothing table Table_col according to ANSI/ASHRAE Standard 55-2010 to create and store them in the storage unit 31 for reading during calculation.

Please refer to FIG. 6 , after obtaining the recognition information of the human body posture recognition model M(met) and the clothing recognition model M(col), the computing device 30 can perform a comparison in the metabolic comparison table Table_met by means of table lookup. At least one metabolic reference value Xa_met corresponding to the at least one gesture recognition result Xa is obtained by matching, and at least one clothing reference value Xc_col corresponding to the at least one clothing recognition result Xc is obtained by comparing in the clothing comparison table Table_col.

Therefore, the calculation device 30 can implement the calculation of the human comfort program suite P (comfort) according to the environment sensing data 100, the number of people Xb, the metabolic reference value Xa_met, the clothing quantity value Xd, and the clothing reference value Xc_col to obtain the The comfort evaluation value Y, that is, the comfort evaluation value Y is the output information of the human comfort program suite P (comfort), and the embodiment of the human comfort program suite P (comfort) can be a predicted average vote (Predicted Mean Vote, PMV) program suite, hereinafter referred to as PMV program suite (PMV); the embodiment of the human body comfort program suite P (comfort) may be a standard effective temperature (Standard Effective Temperature, SET) program suite (SET), Afterwards, it is called SET program suite, and the descriptions are as follows.

Please refer to FIG. 6, when the calculation device 30 implements the calculation of the PMV program suite (PMV), in addition to the personnel quantity value Xb, the metabolic reference value Xa_met, the clothing quantity value Xd and the clothing reference value Xc_col as the basis, the dry ball The temperature signal tdb, the black bulb temperature signal tr, the relative humidity signal rh and the air velocity signal vr are provided to the PMV program suite (PMV), so that the PMV program suite (PMV) can be based on the number of personnel Xb, metabolism Reference value Xa_met, clothing quantity value Xd, clothing reference value Xc_col, dry bulb temperature signal tdb, black bulb temperature signal tr, relative humidity signal rh and air velocity signal vr calculate and output the comfort evaluation value Y, the PMV program suite ( The comfort evaluation value Y output by PMV) is a numerical value.

The storage unit 31 stores an adjustable upper limit TH_u and/or a lower limit TH_1, the upper limit TH_u and the lower limit can be a value, for example, the upper limit TH_u can be 0.5, the lower limit TH_l may be -0.5. After the computing device 30 obtains the comfort evaluation value Y through the PMV program suite (PMV), the computing device 30 judges whether the comfort evaluation value Y is greater than the upper limit TH_u, when the computing device 30 judges that the comfort The evaluation value Y is greater than the upper limit value TH_u, that is, Y>TH_u, which means that the people in the space S may feel hot and uncomfortable. The control command CS output by the computing device 30 to the air conditioner 42 is an activation command, so that The air conditioner 42 operates to discharge cold air; on the other hand, when the computing device 30 judges that the comfort evaluation value Y is less than the lower limit value TH_1, that is, Y<TH_1, it means that the people in the space S may feel cold, The control command CS output by the computing device 30 to the air conditioner 42 is a shutdown command, which stops the air conditioner 42 from running to stop discharging cool air.

When the calculation device 30 implements the calculation of the SET program suite (SET), similar to the PMV program suite (PMV), the SET program suite (SET) can be based on the personnel quantity value Xb, metabolic reference value Xa_met, clothing quantity value Xd, Clothing reference value Xc_col, dry bulb temperature signal tdb, black bulb temperature signal tr, relative humidity signal rh and air velocity signal vr calculate and output the comfort evaluation value Y, the comfort evaluation output by the SET program suite (SET) The value Y is a temperature value, such as a temperature value in Celsius (°C) or a temperature value in Fahrenheit (°F). The storage unit 31 stores an adjustable temperature setting value Tset, for example, the temperature setting value Tset may be 27 degrees Celsius. After the computing device 30 obtains the comfort evaluation value Y through the SET program suite (SET), the computing device 30 judges whether the comfort evaluation value Y is greater than the temperature setting value Tset. When the computing device 30 judges that the comfort The evaluation value Y is greater than the temperature setting value Tset, that is, Y>Tset, which means that the people in the space S may feel hotter, and the control command CS output by the computing device 30 to the air conditioner 42 is a start command, so that the air conditioner 42 runs to exhaust cold air.

The aforementioned example is based on one air conditioner 42 as an example. In other embodiments, when there are multiple air conditioners in the space, the computing device can also be connected to the plurality of air conditioners and output a start command to the multiple air conditioners. A set of air-conditioning equipment, so that the plurality of air-conditioning equipment start and run synchronously or stop running synchronously. In addition to synchronously controlling multiple air conditioners, the present invention can also individually control the operating status of any air conditioner, as explained below.

Please refer to FIG. 7 , the computing device 30 can be signal-connected to a first air conditioner 421 and a second air conditioner 422 , the setting positions of the first air conditioner 421 and the second air conditioner 422 can refer to FIG. 8 , for example, the first air conditioner 421 An air conditioner 421 can be arranged in front of the space S, and the second air conditioner 422 can be arranged behind the space S. Figure 9 is one of the real-time images 200 captured by the computing device 30 from the camera device 20 (Fig. The real-time image 200 is divided into a first sub-image 201 and a second sub-image 202, wherein the dividing line div can be horizontally defined at the center of the real-time image 200, but not limited thereto, the first sub-image 201 The identification information (that is, the place in front of the space S) is used to control the first air conditioner 421 correspondingly, and the identification information of the second sub-image 202 (that is, the place in front of the space S) is used to control the second air conditioner 422 accordingly. By analogy, when the real-time image 200 is divided into multiple sub-images, the computing device 30 can correspondingly control different air conditioners according to the identification information of the multiple sub-images.

The computing device 30 respectively inputs the first sub-image 201 and the second sub-image 202 into the human body posture recognition model M(met) and the clothing recognition model M(col), and the recognition results are summarized in the following table: Posture recognition results number of people Clothing recognition results Clothing Quantity Value first sub image standing 1 Long coat 1 trousers 1 second subimage standing 2 jacket 2 trousers 1 shorts 1

The calculation device 30 obtains the metabolic reference value Xa_met corresponding to each posture recognition result Xa of the first sub-image 201 and the second sub-image 202 by means of table lookup, and the clothing reference value Xc_col corresponding to each clothing recognition result Xc, and according to Carry out the calculation of the human comfort program suite P (comfort) respectively to obtain the first comfort evaluation value Y1 corresponding to the first sub-image 201 and the second comfort evaluation value Y2 corresponding to the second sub-image 202 . In this way, the computing device 30 can implement regional air-conditioning control. For example, when the computing device 30 determines that the first comfort evaluation value Y1 is greater than the upper limit TH_u but the second comfort evaluation value Y2 is lower than The upper limit TH_u, that is, Y1>TH_u and Y2<TH_u, means that the people in front of the space S may feel hot, but the people behind the space S still feel comfortable, and the computing device 30 can only activate the first air conditioner The device 421 discharges cool air, but the second air conditioner 422 is not activated.

In summary, the comfort evaluation value Y is one of the bases for controlling the operating state of the air conditioner 42 in the present invention, wherein the comfort evaluation value Y depends on the current situation of people in the space S (such as the number of people, clothes and activities) Quantity), which is related to the comfort level that people feel at the moment; for example, when there are many people gathered in the indoor environment, many people wear more clothes or people have a lot of activities, the comfort evaluation value Y is higher, On the contrary lower. Therefore, as the computing device 30 judges that the comfort evaluation value Y is greater than the upper limit TH_u or lower than the lower limit TH_l, it can reflect the discomfort that the person feels from being too hot or too cold, and then turn it on or off in due course. The air conditioner 42 allows personnel to be in a more comfortable environment.

10: Environmental sensing unit 100: Environmental sensing data 11: Dry bulb thermometer 12: Black bulb thermometer 13: Relative humidity meter 14: Air Velocity Meter 20: camera device 200: Live video 201: The first sub-image 202: Second sub image 30: computing device 31: storage unit 40: podium 41: seat 42: Air conditioning equipment 421: The first air conditioning equipment 422:Second air conditioner 50: WiFi device 61,62,63,64,65: training image samples S: space tdb: dry bulb temperature signal tr: black ball temperature signal rh: relative humidity signal vr: air velocity signal CS: control signal M(met): human pose recognition model M(col): clothing recognition model P(comfort): human comfort program suite X1: Human body posture information X2: Clothing Information Y: comfort evaluation value Y1: The first comfort evaluation value Y2: second comfort evaluation value Table_met: Metabolism comparison table Table_col: clothing comparison table Xa: State identification result Xa_met: metabolic reference value Xb: Number of people Xc: clothing recognition results Xc_col: clothing reference value Xd: Clothing Quantity Value PMV: PMV program suite SET:SET Program Suite TH_u: upper limit value TH_l: lower limit value Tset: temperature set point div: dividing line

Fig. 1: A schematic block diagram of an embodiment of the air conditioning control system based on human comfort of the present invention. Fig. 2: Schematic diagram of the usage scenario of the embodiment of the present invention. FIG. 3 : A schematic diagram of the computing device in the present invention inputting real-time images to the human body posture recognition model and clothing recognition model and obtaining their recognition information. FIG. 4A : a schematic diagram (1) of an example of training image samples of the human body pose recognition model and the clothing recognition model in the present invention. FIG. 4B : a schematic diagram (2) of an example of training image samples of the human body posture recognition model and the clothing recognition model in the present invention. FIG. 4C : a schematic diagram (3) of an example of training image samples of the human body posture recognition model and the clothing recognition model in the present invention. FIG. 4D : a schematic diagram (4) of an example of training image samples of the human body pose recognition model and the clothing recognition model in the present invention. FIG. 4E : a schematic diagram (5) of an example of training image samples of the human body posture recognition model and the clothing recognition model in the present invention. FIG. 5 : A schematic diagram of real-time images received by the computing device from the camera device in the present invention. Fig. 6: A schematic diagram of the table look-up method implemented by the computing device and the human body comfort program kit in the present invention. Fig. 7: A schematic block diagram of another embodiment of the air-conditioning control system based on personnel comfort in the present invention. Fig. 8: Schematic diagram of a usage scenario of another embodiment of the present invention. FIG. 9 : A schematic diagram of real-time images received by the computing device from the camera device in the present invention.

10: Environmental sensing unit

100: Environmental sensing data

11: Dry bulb thermometer

12: Black bulb thermometer

13: Relative humidity meter

14: Air Velocity Meter

20: camera device

200: Live video

30: computing device

31: storage unit

42: Air conditioning equipment

tdb: dry bulb temperature signal

tr: black ball temperature signal

rh: relative humidity signal

vr: air velocity signal

CS: control signal

M(met): human pose recognition model

M(col): clothing recognition model

P(comfort): human comfort program suite

Table_met: Metabolism comparison table

Table_col: clothing comparison table

TH_u: upper limit value

TH_1: Lower limit value

Tset: temperature set point

Claims (10)

An air-conditioning control system based on personnel comfort, supplied for at least one air-conditioning device in a space, the air-conditioning control system comprising: An environment sensing unit, which detects the environment of the space and correspondingly outputs an environment sensing data; a camera device that shoots and outputs a real-time image of the space, the real-time image includes at least one portrait; and A computing device, signally connected to the environment sensing unit, the camera device and the at least one air-conditioning device, the computing device stores a human body posture recognition model, a clothing recognition model and a human body comfort program suite; the computing device will real-time The image is input to the human body posture recognition model and the clothing recognition model, and the calculation of the human body comfort program suite is implemented according to the recognition information and the environmental sensing data to obtain a comfort evaluation value. The computing device is based on the comfort evaluation The value controls the operation status of the at least one air conditioner. The air-conditioning control system based on personnel comfort as described in Claim 1, wherein the environment sensing unit includes at least one of a dry-bulb thermometer, a black-bulb thermometer, a relative humidity meter, and an air velocity meter; correspondingly, The environmental sensing data includes at least one of a dry-bulb temperature signal, a black-bulb temperature signal, a relative humidity signal and an air velocity signal. The air-conditioning control system based on personnel comfort as described in Claim 1, wherein the computing device includes a storage unit for storing the program data of the human body posture recognition model, the clothing recognition model and the human body comfort program suite. The air-conditioning control system based on personnel comfort as described in Claim 1, wherein the computing device includes a storage unit, and the storage unit stores a metabolism comparison table and a clothing comparison table; The calculation device inputs the real-time image to the human body posture recognition model to obtain a body posture information, and the human body posture information includes at least one posture recognition result and at least one number of people; obtaining at least one metabolic reference value corresponding to the at least one gesture recognition result; The computing device inputs the real-time image to the clothing recognition model to obtain clothing information, the clothing information includes at least one clothing recognition result and at least one clothing quantity value; At least one clothing reference value corresponding to the at least one clothing identification result; The calculation device implements the calculation of the human body comfort program kit according to the environment sensing data, the at least one number of people, the at least one metabolic reference value, the at least one clothing quantity and the at least one clothing reference value to obtain the comfort evaluation value. The air-conditioning control system based on personnel comfort as described in claim 4, wherein the storage unit stores an upper limit value, and the upper limit value is a numerical value; When the calculation device determines that the comfort evaluation value is greater than the upper limit, the control command output by the calculation device to the at least one air conditioner is an activation command. The air-conditioning control system based on personnel comfort as described in claim 5, wherein the storage unit stores a lower limit value, and the lower limit value is a value; When the calculation device determines that the comfort evaluation value is less than the lower limit value, the control command output by the calculation device to the at least one air conditioner is a shutdown command. The air-conditioning control system based on personnel comfort as described in Claim 4, wherein the storage unit stores a temperature setting value; When the calculation device determines that the comfort evaluation value is greater than the temperature setting value, the control command output by the calculation device to the at least one air conditioner is an activation command. The air-conditioning control system based on personnel comfort as claimed in Claim 1, wherein the at least one air-conditioning device is a plurality of air-conditioning devices, and the computing device synchronously controls the operating states of the plurality of air-conditioning devices. The air-conditioning control system based on personnel comfort as claimed in Claim 1, wherein the at least one air-conditioning equipment is a plurality of air-conditioning equipments, and the computing device controls the operation status of any air-conditioning equipment respectively. The air-conditioning control system based on personnel comfort as described in Claim 9, wherein the real-time image is divided into multiple sub-images, and the computing device controls the operating states of different air-conditioning equipment correspondingly according to the identification information of the multiple sub-images.

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