CN112099374A - Indoor environment comfort control method and system, electronic equipment and storage medium - Google Patents
Indoor environment comfort control method and system, electronic equipment and storage medium Download PDFInfo
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- CN112099374A CN112099374A CN202011250860.2A CN202011250860A CN112099374A CN 112099374 A CN112099374 A CN 112099374A CN 202011250860 A CN202011250860 A CN 202011250860A CN 112099374 A CN112099374 A CN 112099374A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Abstract
The application relates to a method, a system, electronic equipment and a storage medium for controlling indoor environment comfort level, which comprises the steps of obtaining static image information when a user enters a room; analyzing age information and wearing information of the user based on the static image information; determining initial adjustment parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information; generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter; sending an initial control instruction to the intelligent household appliance so as to control the indoor environment comfort level by changing the indoor temperature, humidity, illumination and noise volume; acquiring dynamic image information of a user; analyzing the state information of the user based on the dynamic image information; generating a secondary control instruction corresponding to the intelligent household appliance according to the state information; and sending a secondary control instruction to the intelligent household appliance so as to control the indoor environment comfort level secondarily. This application has the effect of the environmental comfort degree in the control room of being convenient for.
Description
Technical Field
The present application relates to the field of environmental comfort control technologies, and in particular, to a method, a system, an electronic device, and a storage medium for controlling indoor environmental comfort.
Background
With the development of science, people pursue life more and more, and various intelligent household appliances are gradually used by people. People install intelligent household electrical appliances indoor, experience the convenience that intelligent household electrical appliances brought on the one hand, on the other hand improves the comfort level of indoor environment. Indoor environmental comfort is generally controlled by adjusting the temperature, humidity, illumination, and noise level of the room.
In the correlation technique, when the user is located indoors, the temperature, the humidity, the illumination degree and the noise volume can be adjusted through the corresponding five intelligent household appliances, so that the comfort level of the indoor environment is improved, and the user feels comfortable.
To the correlation technique among the above-mentioned, the inventor thinks that the user is after the health state changes or changes different users, generally need adjust indoor environment comfort level again, then needs the five kinds of intelligent household electrical appliances of user manual control respectively just can accomplish the regulation, leads to adjusting indoor environment comfort level and needs to spend longer time, causes the defect of the indoor environment comfort level of being not convenient for to control.
Disclosure of Invention
In order to facilitate control of indoor environment comfort, the application provides an indoor environment comfort control method, system, electronic device and storage medium.
In a first aspect, the present application provides a method for controlling a comfort level of an indoor environment, which adopts the following technical scheme:
the indoor environment comfort level control method comprises the following steps:
acquiring static image information when a user enters a room;
analyzing age information and wearing information of the user based on the static image information;
determining initial adjustment parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information;
generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter;
sending an initial control instruction to the intelligent household appliance so as to control the indoor environment comfort level by changing the indoor temperature, humidity, illumination and noise volume;
acquiring dynamic image information of a user;
analyzing the state information of the user based on the dynamic image information;
generating a secondary control instruction corresponding to the intelligent household appliance according to the state information;
and sending a secondary control instruction to the intelligent household appliance so as to control the indoor environment comfort level secondarily.
By adopting the technical scheme, when a user enters the room, the indoor environment comfort control system uses the indoor environment comfort control method to obtain the static image information of the user, analyzes the age information and the wearing information of the user, further determines the initial adjustment parameters of the indoor temperature, the humidity, the illumination and the noise volume, generates an initial control instruction and sends the initial control instruction to the corresponding intelligent household appliance, thereby realizing the control of the indoor environment comfort by controlling the intelligent household appliance; then through the dynamic image information who obtains the user, the state information of assay user, according to the secondary control instruction that state information generation corresponds, send secondary control instruction to corresponding intelligent household electrical appliances at last to control intelligent household electrical appliances, this process user need not the multiple intelligent household electrical appliances of manual control, thereby is convenient for control indoor environment comfort level.
Optionally, analyzing the age information and the wearing information of the user based on the static image information includes:
carrying out face recognition on the static image information to obtain face image information;
extracting characteristic information in the face image information and carrying out age identification to obtain age information of a user;
identifying the static image information to obtain the image information of the clothes;
and identifying the clothes type of the clothes image information to obtain the wearing information of the user.
Through adopting above-mentioned technical scheme, follow face image information and extract characteristic information and carry out age identification again, be favorable to improving the degree of accuracy of age information, carry out clothing type identification after obtaining clothing image information, also be favorable to improving the degree of accuracy of dress information.
Optionally, according to age information and wearing information, determine the initial adjustment parameters of temperature, humidity, illumination and noise volume, including:
selecting a preset parameter group from a database according to the age information and the wearing information and a preset rule;
based on the parameter set, initial adjustment parameters for temperature, humidity, illumination and noise level are determined.
By adopting the technical scheme, the preset parameter group can be selected from the database directly according to the preset rule, and then the initial adjustment parameter is determined, so that the speed of determining the initial adjustment parameter is improved, and the indoor environment comfort level is controlled conveniently.
Optionally, the generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter includes:
acquiring indoor temperature, humidity, illumination and noise volume to obtain indoor first parameter information;
and comparing the initial adjustment parameter with the first parameter information to obtain an initial control instruction corresponding to the intelligent household appliance.
By adopting the technical scheme, after the initial adjustment parameter is compared with the first parameter information, a more accurate initial control instruction can be obtained, and the accuracy of the initial control instruction is improved.
Optionally, the sending the initial control instruction to the intelligent appliance includes:
the intelligent household appliances are connected with the corresponding intelligent household appliances through the Bluetooth technology;
and sending the corresponding instruction in the initial control instruction to the corresponding intelligent household appliance so as to control the corresponding intelligent household appliance to perform corresponding operation.
Through adopting above-mentioned technical scheme, use bluetooth wireless technology to be favorable to improving the efficiency of sending initial control command to be convenient for control.
Optionally, the analyzing the state information of the user based on the dynamic image information includes:
performing behavior recognition of the user on the dynamic graphic information to obtain behavior information;
and comparing the behavior information with preset behavior information which is preset in a database and belongs to a relevant state, and analyzing a state matched with the behavior information to obtain the state information of the user.
By adopting the technical scheme, the behavior information obtained by behavior recognition is relatively accurate, and the state information of the user can be obtained by comparing the behavior information with the preset behavior information preset in the database, so that the state information of the user can be rapidly and accurately obtained.
Optionally, the generating a secondary control instruction corresponding to the intelligent household appliance according to the state information includes:
acquiring set parameters corresponding to the intelligent household appliances;
analyzing secondary adjusting parameters of temperature, humidity, illumination and noise volume according to the state information and the set parameters;
and obtaining a secondary control instruction corresponding to the intelligent household appliance according to the secondary adjusting parameter.
By adopting the technical scheme, the method is favorable for obtaining accurate secondary control instructions, and improves the accuracy of controlling the intelligent household appliances, thereby being convenient for accurately controlling the indoor environment comfort level.
In a second aspect, the present application provides an indoor environment comfort control system, which adopts the following technical scheme:
indoor environmental comfort control system includes:
the first acquisition module is used for acquiring the static image information when a user enters the room;
the first analysis module is used for analyzing the age information and the wearing information of the user based on the static image information;
the first determining module is used for determining initial adjusting parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information;
the first generation module generates an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter;
the first sending module is used for sending an initial control instruction to the intelligent household appliance;
the second acquisition module is used for acquiring the dynamic image information of the user;
the second analysis module is used for analyzing the state information of the user based on the dynamic image information;
the second generation module is used for generating a secondary control instruction corresponding to the intelligent household appliance according to the state information;
and the second sending module is used for sending the secondary control instruction to the intelligent household appliance.
By adopting the technical scheme, when a user enters the room, the indoor environment comfort control system uses the indoor environment comfort control method, the first acquisition module acquires static image information of the user, then the first analysis module analyzes the age information and the wearing information of the user, the first determination module determines the initial adjustment parameters of the indoor temperature, humidity, illumination and noise volume, the first generation module generates an initial control instruction, and the first sending module sends the initial control instruction to the corresponding intelligent household appliance, so that the control on the indoor environment comfort is realized by controlling the intelligent household appliance; then acquire user's dynamic image information through the second and acquire the module, second analysis module analysis user's state information, the second generation module generates corresponding secondary control instruction according to state information, and second sending module sends secondary control instruction to the intelligent household electrical appliances that correspond at last to control intelligent household electrical appliances, this process user need not the multiple intelligent household electrical appliances of manual control, thereby be convenient for control indoor environment comfort level.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that implements any of said indoor environment comfort control methods.
By adopting the technical scheme, the electronic equipment can use the indoor environment comfort level control method through the computer program, so that the indoor environment comfort level is conveniently controlled.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform any one of the indoor environment comfort level control methods.
By adopting the technical scheme, the computer readable storage medium can use the indoor environment comfort level control method through the computer program, thereby being convenient for controlling the indoor environment comfort level.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when a user enters the room, the indoor environment comfort control system acquires static image information of the user by using an indoor environment comfort control method, analyzes the age information and the wearing information of the user, further determines initial adjustment parameters of indoor temperature, humidity, illumination and noise volume, then generates an initial control instruction and sends the initial control instruction to a corresponding intelligent household appliance, and accordingly controls the indoor environment comfort by controlling the intelligent household appliance; then through the dynamic image information who obtains the user, the state information of assay user, according to the secondary control instruction that state information generation corresponds, send secondary control instruction to corresponding intelligent household electrical appliances at last to control intelligent household electrical appliances, this process user need not the multiple intelligent household electrical appliances of manual control, thereby is convenient for control indoor environment comfort level.
2. The preset parameter group can be selected from the database directly according to the preset rule, and then the initial adjustment parameter is determined, so that the speed of determining the initial adjustment parameter is improved, and the indoor environment comfort level is controlled conveniently.
3. The behavior information obtained through behavior recognition is accurate, and the state information of the user can be obtained by comparing the behavior information with preset behavior information preset in a database, so that the state information of the user can be obtained quickly and accurately.
Drawings
Fig. 1 is a flowchart of the indoor environment comfort control method according to the present embodiment.
Fig. 2 is a block diagram of the indoor environment comfort level control system according to the present embodiment.
Fig. 3 is a schematic structural diagram of the electronic device in the present embodiment.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to fig. 1-3 and the embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The indoor environment comfort level control method provided by the embodiment of the application can be executed by an indoor environment comfort level control system, and the indoor environment comfort level control system comprises a memory, a processor, a Bluetooth module, a temperature sensor, a humidity sensor, an illuminometer, a decibel meter and two cameras. Memory, treater, bluetooth module, temperature sensor, humidity transducer, illuminometer, decibel appearance and one of them camera are all installed indoor. The other camera is installed outdoors and is positioned above the doorway. Memory, treater, bluetooth module, temperature sensor, humidity transducer, illuminometer, decibel appearance and the mutual electric connection of two cameras. Wherein, the camera that is located indoor can be installed in indoor ceiling department for better shooting user.
The indoor environment comfort control system that this application embodiment provided passes through bluetooth module and various intelligent household electrical appliances wireless connection for various intelligent household electrical appliances of better control. The intelligent household appliances are all started before the user enters the room. Intelligent household electrical appliances all contain the bluetooth function, and intelligent household electrical appliances in this application include but not limited to intelligent air conditioner, intelligent humidification machine, intelligent electric light and intelligent sound-proof wall.
Generally, different users have different requirements on indoor environment comfort, that is, the optimal temperature, the optimal humidity, the optimal illumination and the optimal noise level of different users are different. Therefore, different users enter the room, and the indoor environment comfort level needs to be controlled by adjusting the indoor temperature, humidity, illumination and noise level.
For the same user, the change of the behavior or the state changes the feeling of the user, that is, the user in the room needs to control the comfort level of the indoor environment again according to the change of the behavior or the state. The indoor environment comfort level control system and the indoor environment comfort level control method are matched, so that the indoor environment comfort level is conveniently controlled.
Based on the above principle and the above application scenario, it should be noted that the present application provides an indoor environment comfort level control method, that is, the method is described from the perspective of a processor, and the indoor environment comfort level control method can be implemented on an electronic device by programming as a computer program, which includes but is not limited to a computer, a network host, an intelligent terminal, and the like.
Referring to fig. 1, a method for controlling comfort level of indoor environment disclosed in an embodiment of the present application includes:
s100, acquiring static image information when a user enters a room.
The still image information is a whole body image of the user when the user enters the room.
Specifically, when a user enters the room, namely, when the user is close to the outdoor camera, the indoor camera is controlled to shoot the user, and static image information is obtained.
The outdoor camera can be kept in a starting state, when a user is close to the camera, the camera shoots the user, shot pictures are sent to the processor, and the processor acquires static image information and processes the static image information.
If the number of people entering the room is more than or equal to 2, the camera shoots all people, and the processor acquires and processes different static image information.
S110, analyzing the age information and the wearing information of the user based on the static image information.
The age information is the age stage of the user, including infant, juvenile, adolescent, middle aged and elderly, the age of 0-6 is infant, the age of 7-12 is juvenile, the age of 13-17 is adolescent, the age of 18-45 is young, the age of 46-69 is middle aged, and the age of more than 69 is elderly. The wearing information indicates the type of upper garment and the type of lower garment of the user.
Specifically, face recognition is carried out on static image information to obtain face image information; extracting characteristic information in the face image information and carrying out age identification to obtain age information of a user; identifying the static image information to obtain the image information of the clothes; and identifying the clothes type of the clothes image information to obtain the wearing information of the user.
The face image information is a local enlarged image of a face part in the static image information; the feature information is used for identifying the facial features of the ages; the clothing image information refers to a locally enlarged image of a clothing portion in the still image information.
Wherein, the age is identified, then the approximate age bracket of the user is predicted, and then the age bracket is used for determining the age bracket of the user. The clothing type recognition is to compare the clothing image information of the user with the photos of various kinds of clothing in a preset data set so as to determine the wearing information of the user, wherein the number of the photos in the preset data set can be, but is not limited to 2000, 3000, 4000 and 5000.
For example, when the user is a young age 20 years old wearing long-sleeved shirts and jeans, the indoor environment comfort level control system recognizes that the user is between 18 and 30 years old, i.e., classifies the user into the young age stage, and then recognizes that the wearing information is: the jacket is a long-sleeved shirt; the lower garment is jeans.
And S120, determining initial adjusting parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information.
The initial adjustment parameters refer to the optimal temperature, the optimal humidity, the optimal illumination and the optimal noise level of the user in the current state.
Specifically, according to the age information and the wearing information, a preset parameter group is selected from a database according to a preset rule; based on the parameter set, initial adjustment parameters for temperature, humidity, illumination and noise level are determined.
If the number of people entering the room is more than or equal to 2, determining the user according to the age information before selecting the preset parameter group from the database according to the age information and the wearing information and the preset rule, namely selecting one of the people as the user according to the preset rule. The predetermined rule is: the selection is carried out according to the sequence of infants, old people, children, teenagers to young people. For example, if all people entering the room include infants, the infants are used as users.
The preset parameter sets include 6 sets, which are a first parameter set, a second parameter set, a third parameter set, a fourth parameter set, a fifth parameter set and a sixth parameter set. The first parameter set is 'temperature 27 degrees centigrade, humidity 50%, illumination 200Lx, noise volume 20 decibels'; the second parameter group is 'temperature 25 ℃, humidity 40%, illumination 400Lx and noise volume 35 dB'; the third parameter set is 'temperature 27 degrees centigrade, humidity 60%, illumination 300Lx, noise volume 40 decibel'; the fourth parameter set is 'temperature 28 degrees centigrade, humidity 80%, illumination 200Lx, and noise volume 20 db'; the fifth parameter set is 'temperature 26 ℃, humidity 70%, illumination 300Lx and noise volume 35 dB'; the sixth parameter set is 'temperature 27 degrees centigrade, humidity 80%, illumination 300Lx, and noise volume 45 db'; the preset rule is as follows: if the fact that the user is in an infant or a young child at the age stage and clothes in the wearing information of the user are short sleeves or thin clothes is recognized, selecting a first parameter set; if the age stage of the user is identified to be in an infant and a young child, and clothes in the wearing information of the user are all long sleeves or thick, selecting a fourth parameter set; if the user is recognized to be in teenagers and adolescents in the age stage and clothes in the wearing information of the user are short sleeves or thin, selecting a second parameter set; if the user is recognized to be in teenagers and adolescents in the age stage and clothes in the wearing information of the user are all long sleeves or thick, selecting a fifth parameter set; if the user is identified to be old at the age stage and the clothes in the wearing information of the user are short sleeves or thin, selecting a third parameter set; and if the user is identified to be old in the age stage and the wearing information of the user is that the clothes are all long sleeves or the clothes are thick, selecting a sixth parameter set.
For example, if the user is a young age of 20 years old wearing long-sleeved shirts and jeans, the fifth parameter set is selected as the initial tuning parameter.
And S130, generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjusting parameters.
The initial control instruction refers to a control instruction which is sent by a user to the intelligent household appliance and used for controlling the intelligent household appliance for the first time after the user enters the indoor rear indoor environment comfort level control system.
Specifically, indoor temperature, humidity, illumination and noise volume are obtained, and indoor first parameter information is obtained; and comparing the initial adjustment parameter with the first parameter information to obtain an initial control instruction corresponding to the intelligent household appliance.
The indoor temperature is measured through a temperature sensor, the humidity is measured through a humidity sensor, the illumination degree is measured through an illuminometer, and the noise volume is measured through a decibel meter. The first parameter information records the temperature, humidity, illumination and noise level in the room after the initial adjustment parameters are determined. And comparing the parameters in the initial adjustment parameters with the parameters in the first parameter information one by one, thereby determining the specific adjustment operation of various intelligent household appliances.
For example, the first parameter information is "temperature 28 degrees celsius, humidity 30%, illumination 300Lx, and noise volume 35 db", the initial adjustment parameter is "temperature 26 degrees celsius, humidity 70%, illumination 300Lx, and noise volume 35 db" in the fifth parameter group, and the initial control instruction obtained after comparison is "intelligent air conditioner temperature setting is reduced by 2 degrees celsius", "intelligent humidifier humidity setting is increased by 40%", "intelligent lamp illumination setting is unchanged", and "intelligent sound insulation wall sound insulation setting is unchanged".
And S140, sending an initial control instruction to the intelligent household appliance.
Specifically, the intelligent household appliances are connected with corresponding intelligent household appliances through a Bluetooth technology; and sending the corresponding instruction in the initial control instruction to the corresponding intelligent household appliance so as to control the corresponding intelligent household appliance to perform corresponding operation.
The indoor environment comfort level control system is wirelessly connected with the corresponding intelligent household appliances through the Bluetooth technology, and then sends corresponding instructions in the initial control instructions to the corresponding intelligent household appliances.
For example, when a control instruction needs to be sent to the intelligent humidifier, the intelligent humidifier is connected with the intelligent humidifier through the bluetooth technology, and then the control instruction of "the humidity of the intelligent humidifier is set to be increased by 40%" is sent, so that the intelligent humidifier performs corresponding operations.
S150, acquiring the dynamic image information of the user.
Specifically, the indoor camera continuously captures images of the user to obtain dynamic image information.
Wherein, before the user got into indoorly, indoor camera can be the dormant state, and the user gets into indoorly, and indoor camera then makes a video recording to the user.
S160, analyzing the state information of the user based on the dynamic image information.
Specifically, the behavior of the user is identified for the dynamic graphic information to obtain behavior information; and comparing the behavior information with preset behavior information which is preset in a database and belongs to a relevant state, and analyzing a state matched with the behavior information to obtain the state information of the user.
The behavior information refers to a behavior made by the user. The state information refers to a working state, a daily state, a sport state, a learning state, and a sleeping state.
Wherein the behavior recognition comprises recognizing limb and joint points of the user; and identifying the moving amplitude of the limbs and the joint points to obtain behavior information. The preset behavior information may be, but is not limited to, "sit", "walk", "squat", "run", "jump", "lie", "read", "use a computer", "write", and the like. If the behavior information of the user is basically 'sitting', 'using computer' and 'writing' within 2 minutes, the state information of the user is obtained as a working state; if the behavior information of the user is basically 'walking' and 'sitting' within 2 minutes, the state information of the user is obtained as a daily state; if the behavior information of the user is basically squatting, running or jumping within 2 minutes, the state information of the user is obtained as the motion state; if the behavior information of the user is basically 'sitting', 'reading' or 'writing' within 2 minutes, the state information of the user is obtained as a learning state; if the behavior information of the user is basically 'lying down' within 10 minutes, the state information of the user is obtained as a sleeping state.
And S170, generating a secondary control instruction corresponding to the intelligent household appliance according to the state information.
Specifically, the set parameters corresponding to the intelligent household appliances are obtained; analyzing secondary adjusting parameters of temperature, humidity, illumination and noise volume according to the state information and the set parameters; and obtaining a secondary control instruction corresponding to the intelligent household appliance according to the secondary adjusting parameter.
The second parameter information refers to indoor temperature, humidity, illumination and noise volume measured after the indoor environment comfort control system controls various intelligent household appliances according to the initial control instruction.
Wherein, according to the state information and the set parameters, the secondary adjusting parameters of temperature, humidity, illumination and noise volume are analyzed, comprising: in the working state, the optimal temperature is reduced by 1 ℃ on the basis of the set parameters, the optimal humidity is reduced by 10 percent on the basis of the set parameters, the optimal illumination can be unchanged or reduced by 50Lx on the basis of the set parameters, and the optimal noise volume is reduced by 20 decibels on the basis of the set parameters; in a daily state, the optimal temperature, the optimal humidity, the optimal illumination and the optimal noise volume can be unchanged; in the learning state, the optimum temperature is increased by 0.5 ℃ on the basis of the set parameters, the optimum humidity is increased by 10 percent on the basis of the set parameters, the optimum illumination is increased by 100Lx on the basis of the set parameters, and the optimum noise volume is reduced by 25 decibels on the basis of the set parameters; in the motion state, the optimal temperature is reduced by 2 ℃ on the basis of the set parameters, the optimal humidity is reduced by 5 percent on the basis of the set parameters, the optimal illumination can be unchanged or increased by 50Lx on the basis of the set parameters, and the optimal noise volume is reduced by 20 decibels on the basis of the set parameters; in the sleep state, the optimal temperature is reduced by 2 ℃ on the basis of the set parameters, the optimal humidity is improved by 20 percent on the basis of the set parameters, the optimal illumination is reduced by 150Lx on the basis of the set parameters, and the optimal noise volume is reduced by 30 decibels on the basis of the set parameters. And the optimal temperature, the optimal humidity, the optimal illumination and the optimal noise volume obtained according to each state are secondary adjusting parameters corresponding to each state.
For example, if the parameters are set as: the intelligent air conditioner is 27 ℃, the intelligent humidifier is 50%, and the intelligent electric lamp is 300 Lx. The user who is located indoor is in the sleep state, secondary control parameter reduces 2 degrees centigrade for optimum temperature on the basis of having set the parameter, optimum humidity promotes 20% on the basis of having set the parameter, optimum illuminance reduces 150Lx on the basis of having set the parameter, optimum noise volume reduces 30 decibels on the basis of having set the parameter, then need set up intelligent air conditioner temperature to 25 degrees centigrade, intelligent humidifier humidity sets up to 70%, intelligent electric light illuminance sets up to 150Lx, intelligent sound-proof wall sound insulation effect sets up to reduce 30 decibels. The obtained secondary control instructions are that the temperature of the intelligent air conditioner is set to be 25 ℃, the humidity of the intelligent humidifier is set to be 70%, "the illumination of the intelligent electric lamp is set to be 150 Lx", and the sound insulation of the intelligent sound insulation wall is set to be reduced by 30 decibels ".
And S180, sending a secondary control instruction to the intelligent household appliance.
Specifically, according to the secondary control instruction, sequentially carrying out Bluetooth connection with different intelligent household appliances; and sending the corresponding command in the secondary control command to the corresponding intelligent household appliance.
Wherein, the sequence of connecting in proper order is from intelligent air conditioner, intelligent humidifier, intelligent electric light to intelligent sound-proof wall.
In summary, the above process realizes that when a user enters the room, the indoor environment comfort control system uses the indoor environment comfort control method to obtain the static image information of the user, then analyzes the age information and wearing information of the user, further determines the initial adjustment parameters of the indoor temperature, humidity, illumination and noise volume, and then generates an initial control instruction and sends the initial control instruction to the corresponding intelligent household appliance, thereby realizing the control of the indoor environment comfort by controlling the intelligent household appliance; then through the dynamic image information who obtains the user, the state information of assay user, according to the secondary control instruction that state information generation corresponds, send secondary control instruction to corresponding intelligent household electrical appliances at last to control intelligent household electrical appliances, this process user need not the multiple intelligent household electrical appliances of manual control, thereby is convenient for control indoor environment comfort level.
It should be clear that the sequence of steps S100 to S180 in the present application is only used as the step number and is not limited.
Referring to fig. 2, the embodiment of the present application further discloses an indoor environment comfort level control system, which includes a first obtaining module 200, configured to obtain static image information when a user enters a room; a first analyzing module 210 for analyzing the age information and wearing information of the user based on the static image information; a first determining module 220 for determining initial adjustment parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information; the first generating module 230 generates an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter; a first transmitting module 240 that transmits an initial control command to the smart appliance; a second obtaining module 250, for obtaining the dynamic image information of the user; the second analysis module 260 is used for analyzing the state information of the user based on the dynamic image information; the second generating module 270 is configured to generate a secondary control instruction corresponding to the intelligent household appliance according to the state information; and a second sending module 280 for sending the secondary control instruction to the intelligent household appliance.
To sum up, when the user enters the room, the indoor environment comfort control system uses the indoor environment comfort control method, the first obtaining module 200 obtains the static image information of the user, then the first analyzing module 210 analyzes the age information and the wearing information of the user, the first determining module 220 determines the initial adjusting parameters of the indoor temperature, humidity, illumination and noise volume, the first generating module 230 generates the initial control instruction again, and the first sending module 240 sends the initial control instruction to the corresponding intelligent household appliance, so that the control of the indoor environment comfort is realized by controlling the intelligent household appliance; then, the dynamic image information of the user is acquired through the second acquisition module 250, the second analysis module 260 analyzes the state information of the user, the second generation module 270 generates a corresponding secondary control instruction according to the state information, and finally the second sending module 280 sends the secondary control instruction to the corresponding intelligent household appliance, so that the intelligent household appliance is controlled, and the user does not need to manually control various intelligent household appliances in the process, so that the indoor environment comfort level is conveniently controlled.
Referring to fig. 3, an electronic device 300 is further disclosed in the embodiments of the present application, and includes a memory 310 and a processor 320, where the memory 310 stores a computer program that can be loaded and executed by the processor 320, and when the computer program is executed by the processor 320, the following steps are performed: acquiring static image information when a user enters a room; analyzing age information and wearing information of the user based on the static image information; determining initial adjustment parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information; generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter; sending an initial control instruction to the intelligent household appliance so as to control the indoor environment comfort level by changing the indoor temperature, humidity, illumination and noise volume; acquiring dynamic image information of a user; analyzing the state information of the user based on the dynamic image information; generating a secondary control instruction corresponding to the intelligent household appliance according to the state information; and sending a secondary control instruction to the intelligent household appliance so as to control the indoor environment comfort level secondarily.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: carrying out face recognition on the static image information to obtain face image information; extracting characteristic information in the face image information and carrying out age identification to obtain age information of a user; identifying the static image information to obtain the image information of the clothes; and identifying the clothes type of the clothes image information to obtain the wearing information of the user.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: selecting a preset parameter group from a database according to the age information and the wearing information and a preset rule; based on the parameter set, initial adjustment parameters for temperature, humidity, illumination and noise level are determined.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: acquiring indoor temperature, humidity, illumination and noise volume to obtain indoor first parameter information; and comparing the initial adjustment parameter with the first parameter information to obtain an initial control instruction corresponding to the intelligent household appliance.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: the intelligent household appliances are connected with the corresponding intelligent household appliances through the Bluetooth technology; and sending the corresponding instruction in the initial control instruction to the corresponding intelligent household appliance so as to control the corresponding intelligent household appliance to perform corresponding operation.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: performing behavior recognition of the user on the dynamic graphic information to obtain behavior information; and comparing the behavior information with preset behavior information which is preset in a database and belongs to a relevant state, and analyzing a state matched with the behavior information to obtain the state information of the user.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: analyzing secondary adjusting parameters of temperature, humidity, illumination and noise volume according to the state information and the set parameters; and obtaining a secondary control instruction corresponding to the intelligent household appliance according to the secondary adjusting parameter.
In summary, the above process realizes that the indoor environment comfort level control system can better control the indoor environment comfort level by using the indoor environment comfort level control method through the computer program, thereby facilitating the control of the indoor environment comfort level.
The embodiment of the application also discloses a computer readable storage medium, which stores a computer program that can be loaded and executed by the processor, and when the computer program is executed by the processor, the steps of any one of the indoor environment comfort level control methods are realized, and the same effect can be achieved.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The foregoing is a preferred embodiment of the present application and is not intended to limit the scope of the application in any way, and any features disclosed in this specification (including the abstract and drawings) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (10)
1. Indoor environment comfort control method, its characterized in that includes:
acquiring static image information when a user enters a room;
analyzing age information and wearing information of the user based on the static image information;
determining initial adjustment parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information;
generating an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter;
sending an initial control instruction to the intelligent household appliance so as to control the indoor environment comfort level by changing the indoor temperature, humidity, illumination and noise volume;
acquiring dynamic image information of a user;
analyzing the state information of the user based on the dynamic image information;
generating a secondary control instruction corresponding to the intelligent household appliance according to the state information;
and sending a secondary control instruction to the intelligent household appliance so as to control the indoor environment comfort level secondarily.
2. The indoor environment comfort control method according to claim 1, wherein the analyzing age information and wear information of the user based on the still image information includes:
carrying out face recognition on the static image information to obtain face image information;
extracting characteristic information in the face image information and carrying out age identification to obtain age information of a user;
identifying the static image information to obtain the image information of the clothes;
and identifying the clothes type of the clothes image information to obtain the wearing information of the user.
3. Indoor environmental comfort control method according to claim 1, characterized in that the root
According to age information and wearing information, determine the initial adjustment parameters of temperature, humidity, illumination and noise volume, including:
selecting a preset parameter group from a database according to the age information and the wearing information and a preset rule;
based on the parameter set, initial adjustment parameters for temperature, humidity, illumination and noise level are determined.
4. The indoor environment comfort level control method according to claim 1, wherein the generating of the initial control command corresponding to the intelligent appliance according to the initial adjustment parameter includes:
acquiring indoor temperature, humidity, illumination and noise volume to obtain indoor first parameter information;
and comparing the initial adjustment parameter with the first parameter information to obtain an initial control instruction corresponding to the intelligent household appliance.
5. The indoor environment comfort level control method according to claim 1, wherein the sending of the initial control command to the smart appliance includes:
the intelligent household appliances are connected with the corresponding intelligent household appliances through the Bluetooth technology;
and sending the corresponding instruction in the initial control instruction to the corresponding intelligent household appliance so as to control the corresponding intelligent household appliance to perform corresponding operation.
6. The indoor environment comfort control method according to claim 1, wherein the analyzing the status information of the user based on the dynamic image information comprises:
performing behavior recognition of the user on the dynamic graphic information to obtain behavior information;
and comparing the behavior information with preset behavior information which is preset in a database and belongs to a relevant state, and analyzing a state matched with the behavior information to obtain the state information of the user.
7. The indoor environment comfort control method according to claim 1, wherein the generating of the secondary control command corresponding to the intelligent appliance according to the state information includes:
acquiring set parameters corresponding to the intelligent household appliances;
analyzing secondary adjusting parameters of temperature, humidity, illumination and noise volume according to the state information and the set parameters;
and obtaining a secondary control instruction corresponding to the intelligent household appliance according to the secondary adjusting parameter.
8. Indoor environmental comfort control system, its characterized in that includes:
the first acquisition module is used for acquiring the static image information when a user enters the room;
the first analysis module is used for analyzing the age information and the wearing information of the user based on the static image information;
the first determining module is used for determining initial adjusting parameters of temperature, humidity, illumination and noise volume according to the age information and the wearing information;
the first generation module generates an initial control instruction corresponding to the intelligent household appliance according to the initial adjustment parameter;
the first sending module is used for sending an initial control instruction to the intelligent household appliance;
the second acquisition module is used for acquiring the dynamic image information of the user;
the second analysis module is used for analyzing the state information of the user based on the dynamic image information;
the second generation module is used for generating a secondary control instruction corresponding to the intelligent household appliance according to the state information;
and the second sending module is used for sending the secondary control instruction to the intelligent household appliance.
9. An electronic device, characterized in that it comprises a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that executes the indoor environmental comfort control method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which executes the indoor environment comfort control method according to any one of claims 1 to 7.
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