CN112484256A - Sterilization control method, device and system and storage medium - Google Patents
Sterilization control method, device and system and storage medium Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/16—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by purification, e.g. by filtering; by sterilisation; by ozonisation
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- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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Abstract
The invention relates to a sterilization control method, a device, a system and a storage medium; the control method is applied to an electric appliance comprising an air inlet and an air outlet, and comprises the following steps: acquiring video image data in a preset area; when personnel activities occur in a preset area, acquiring the personnel number of the personnel in the preset area; and sterilizing in the air inlet and the air outlet of the electric appliance according to the number of personnel according to a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy. This scheme is through when the personnel that appear in predetermineeing the region move about, according to the personnel's of predetermineeing the region personnel quantity of personnel in the region of video image data determination in predetermineeing to disinfect in the air intake and the air outlet of electrical apparatus with the personnel's of corresponding intensity strategy of disinfecting according to personnel quantity, disinfect the air that gets into the air intake when electrical apparatus takes a breath, accomplish the air purification to indoor environment.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to a sterilization control method, a sterilization control device, a sterilization control system and a storage medium.
Background
The ultraviolet sterilization and disinfection is to use ultraviolet with proper wavelength to destroy the molecular structure of DNA (deoxyribonucleic acid) or RNA (ribonucleic acid) in the cells of the microorganism body, so as to cause the death of growing cells and/or regenerative cells, thereby achieving the effect of sterilization and disinfection. The ultraviolet disinfection technology is based on modern epidemic prevention science, medicine and photodynamics, and can directly kill various bacteria, viruses, parasites, algae and other pathogens in water by irradiating running water with specially designed high-efficiency, high-intensity and long-life ultraviolet light.
Along with the development of ultraviolet sterilization disinfection, also set up corresponding ultraviolet sterilization module thereupon on various household electrical appliances, in order to realize ultraviolet sterilization, but traditional ultraviolet sterilization technique is in the application, show its shortcoming gradually, because ultraviolet direct irradiation can burn skin and eyes, therefore traditional ultraviolet germicidal lamp can disinfect only when nobody is in the room, there is the problem of "man-machine does not coexist", again, the different required needs of disinfecting of the condition of indoor environment are inconsistent, current ultraviolet sterilization disinfection adopts single power to shine for a long time, not only appear easily and can't satisfy complete sterilization demand, or surpass the condition of sterilization demand, equipment fragile still appears easily, the problem that life is low.
Disclosure of Invention
In order to solve the problems in the prior art, at least one embodiment of the present invention provides an air conditioning system information synchronization method, apparatus, system and storage medium.
In a first aspect, an embodiment of the present invention provides a sterilization control method, which is applied to an electrical appliance including an air inlet and an air outlet, where the sterilization control method includes:
acquiring video image data in a preset area;
when personnel activities occur in the preset area, acquiring the personnel number of the personnel in the preset area according to the video image data;
and according to the number of the personnel, sterilizing in the air inlet and the air outlet of the electric appliance according to a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
Based on the above technical solutions, the embodiments of the present invention may be further improved as follows.
With reference to the first aspect, in a first embodiment of the first aspect, the control method further includes:
when personnel activities occur in the preset area, carrying out animal recognition on the video image data based on an animal recognition model obtained by pre-training to obtain a recognition result;
judging whether animals exist in the preset area or not according to the identification result;
when the animals exist in the video image, increasing the sterilization intensity corresponding to the obtained sterilization strategy by a first preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased;
wherein, the acquiring the number of the personnel in the preset area according to the video image data comprises:
and identifying the video image data based on a number of people identification model obtained by pre-training to obtain the number of people in the video image data.
With reference to the first aspect, in a second embodiment of the first aspect, when a person activity occurs in the preset area, the number of people in the preset area is obtained according to the video image data; according to the number of the personnel, sterilizing in the air inlet and the air outlet of the electric appliance according to a preset sterilization strategy, comprising the following steps:
when personnel activities occur in the preset area, acquiring the personnel number of personnel in each preset age group in the preset area;
judging whether people with the age smaller than a first preset age exist in the preset area or not or whether people with the age larger than a second preset age exist in the preset area or not according to the number of the people in each preset age group;
when the personnel with the age smaller than the first preset age exist in the preset area, or the personnel with the age larger than the second preset age exist in the preset area, the sterilization intensity corresponding to the obtained sterilization strategy is increased by the second preset intensity, and sterilization is performed according to the sterilization intensity after the intensity is increased.
With reference to the second embodiment of the first aspect, in a third embodiment of the first aspect, the acquiring the number of people of each preset age group in the preset area includes:
carrying out face recognition on the video image data based on a face recognition model obtained by pre-training to obtain at least one group of face image data set; wherein the face image data in the face image data group correspond to the same person;
respectively identifying the face image data in each face image data group based on an age identification model obtained by pre-training to obtain the person age of the person corresponding to the face image data group;
according to each preset age group, dividing and counting the personnel according to the age of the personnel to obtain the personnel number of the personnel in each preset age group.
With reference to the third embodiment of the first aspect, in a fourth embodiment of the first aspect, the identifying the face image data in each face image data group respectively to obtain the person age of the person corresponding to the face image data group includes:
respectively identifying the face image data in the face image data groups aiming at each group of face image data groups to obtain the predicted age of the person corresponding to each piece of face image data;
and averaging the predicted people ages of the people corresponding to each piece of face image data in the face image data group aiming at each group of face image data group to obtain an average age which is used as the people age of the people corresponding to the face image data group.
With reference to the first aspect, in a fifth embodiment of the first aspect, the control method further includes:
when a first control instruction containing the sterilization intensity is received;
sterilizing according to the sterilization intensity in the first control instruction;
when a second control instruction for selecting a preset sterilization mode is received;
and sterilizing according to the sterilization intensity corresponding to the sterilization mode in the second control command.
With reference to the first aspect or the first, second, third, fourth, or fifth embodiment of the first aspect, in a sixth embodiment of the first aspect, the sterilizing through the air inlet and the air outlet of the appliance according to the number of people and according to a preset sterilization strategy includes:
determining a preset number interval matched with the number of the personnel as a matching number interval; the larger the numerical value is, the larger the sterilization intensity corresponding to the preset sterilization strategy corresponding to the preset number interval is;
and sterilizing according to the sterilization strategy corresponding to the matching number interval.
In a second aspect, an embodiment of the present invention provides a sterilization control device, which is applied to an electrical appliance including an air inlet and an air outlet; the control device includes:
the first processing unit is used for acquiring video image data in a preset area;
the second processing unit is used for acquiring the number of personnel in the preset area according to the video image data when personnel activities occur in the preset area;
and the third processing unit is used for sterilizing in the air inlet and the air outlet of the electric appliance according to the number of the personnel and a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
In a third aspect, an embodiment of the present invention provides a sterilization control system, including: an electrical appliance including an air inlet and an air outlet; the control system also comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory finish mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the air conditioning system information synchronization method of any embodiment of the first aspect when executing the program stored in the memory.
In a fourth aspect, the present invention provides a computer-readable storage medium, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the sterilization control method according to any one of the embodiments of the first aspect.
Compared with the prior art, the technical scheme of the invention has the following advantages: this scheme is through when the personnel that appear in predetermineeing the region move about, according to the personnel's of predetermineeing the region personnel quantity of personnel in the region of video image data determination in predetermineeing to disinfect in the air intake and the air outlet of electrical apparatus with the personnel's of corresponding intensity strategy of disinfecting according to personnel quantity, disinfect the air that gets into the air intake when electrical apparatus takes a breath, accomplish the air purification to indoor environment.
Drawings
Fig. 1 is a schematic flow chart of a sterilization control method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a sterilization control method according to another embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a sterilization control method according to another embodiment of the present invention;
fig. 4 is a schematic flow chart of a sterilization control method according to another embodiment of the present invention;
fig. 5 is a third schematic flowchart of a sterilization control method according to another embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a sterilization control device according to another embodiment of the present invention;
fig. 7 is a schematic structural diagram of a sterilization control system according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a sterilization control method, which is applied to an electrical appliance including an air inlet and an air outlet. Referring to fig. 1, the control method includes the steps of:
and S11, acquiring the video image data in the preset area.
In this embodiment, since the electrical appliance including the air inlet and the air outlet is generally a heat dissipation device in a humidifier, a purifier, an air conditioner or an electrical appliance, and the general heat dissipation device is disposed inside the electrical appliance, if the heat dissipation device is disposed outside the electrical appliance, the air inlet and the air outlet are not present, although the electric fan is also a motor-driven fan blade to form convection, the electric fan generally has a mesh structure, and the fully-enclosed electric fan has the air inlet and the air outlet.
In this embodiment, the preset area may be an indoor scene or a space where the electrical appliance is used, specifically, if the electrical appliance is located in the space, each indoor communicated space may be used as the preset area, for example, in the space where an indoor air conditioner, a humidifier, and a purifier are located, and a range that can be affected by the electrical appliance after working may be used as the preset area.
In this embodiment, acquiring the video image data of each preset area may be achieved by erecting a camera device, which is not particularly limited in this scheme, and the video image data in this step may be ordinary video image data or infrared video image data.
And S12, when the personnel activity occurs in the preset area, acquiring the personnel number of the personnel in the preset area according to the video image data.
In this embodiment, whether personnel activity occurs in the preset area is judged, whether personnel activity occurs in the preset area can be determined by detecting the indoor environment through the infrared detection device, characteristic detection such as gait characteristics and face recognition can also be performed according to video image data, whether personnel activity occurs in the preset area is determined, whether sound occurs in the preset area can also be detected through the sound detection device, whether the sound is voice can be further determined according to the sound, and when the sound occurs, the personnel activity occurring in the preset area is determined.
In this embodiment, the number of people in the preset area is obtained according to the video image data, and the number of people in the video image data can be further obtained by obtaining each gait feature in the preset area, determining the situation of people from the video image data according to whether the gait feature conforms to the walking gait feature of people.
And S13, sterilizing in the air inlet and the air outlet of the electric appliance according to the number of the personnel and a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
In this embodiment, according to the corresponding strategy of disinfecting of personnel quantity determination, the intensity of disinfecting of assurance strategy of disinfecting is directly proportional with personnel quantity, because the number of people in the indoor environment is less, appears different personnel in the indoor and also can corresponding reduction in the bacterium or the virus that outdoor infected, so, disinfect to personnel's quantity in the indoor environment in this embodiment for the mode of disinfecting is more intelligent and high-efficient.
In this embodiment, the sterilization mode in this scheme may be a common sterilization mode in the prior art, for example, ultraviolet sterilization, and since the sterilization in this scheme is performed in the air inlet and the air outlet of the electrical appliance, the ultraviolet sterilization does not affect personnel in the indoor environment, specifically, the ultraviolet sterilization may be performed at a position in the electrical appliance where ultraviolet rays are sealed inside the electrical appliance, and the sterilization is not applied to the human body, and the current structure may be implemented, that is, the sterilization mode may coexist in human-machine mode, for example, the sterilization process may be performed in a pipeline between the air inlet and the air outlet or a temperature exchanger, so as to avoid the ultraviolet rays affecting personnel in the indoor environment; the local area can also be heated by adopting a high-temperature sterilization mode, so that the passing air is heated to finish sterilization, the sterilization intensity can be adjusted by adjusting the temperature, the sterilization can also be performed by adopting infrared heating, and the sterilization intensity can be adjusted by adjusting the input power of infrared rays.
In this embodiment, this scheme is through when the personnel that appear in predetermineeing the region move about, according to the video image data determination in predetermineeing the region personnel's in the region personnel quantity to disinfect in the air intake and the air outlet of electrical apparatus with the personnel's of corresponding intensity strategy of disinfecting according to personnel quantity, disinfect the air that gets into the air intake when electrical apparatus takes a breath, the completion is to the air purification of indoor environment.
In this embodiment, in step S12, the number of people in the preset area is obtained according to the video image data, and the number of people in the video image data can be obtained by recognizing the video image data based on the pre-trained people number recognition model.
The method for training to obtain the number of people recognition model can be obtained through a recognition method in the prior art, and specifically, for example, the number of people recognition model is established, at least one sample video image data and a sample result of the number of people existing in the sample video image data are obtained, the sample video image data are respectively input into the number of people recognition model, a prediction result is obtained, each prediction result and the corresponding sample result are respectively compared to obtain a relative deviation, when each relative deviation is smaller than a preset threshold value, the number of people recognition model is judged to be converged, and the trained number of people recognition model is obtained.
In this embodiment, the control method further includes: when a first control instruction containing the sterilization intensity is received; and sterilizing according to the sterilization intensity in the first control command.
In the present embodiment, when a control instruction for setting of the sterilization intensity by the user is received, sterilization is directly performed with the control instruction set by the user.
In this embodiment, the control method further includes: when a second control instruction for selecting a preset sterilization mode is received; and sterilizing according to the sterilization intensity corresponding to the sterilization mode in the second control command.
In this embodiment, when a control instruction corresponding to any one of the sterilization modes of the preset values selected by the user is received, sterilization is performed according to the sterilization intensity corresponding to the control instruction, so as to ensure the control of the user on the sterilization device.
In this embodiment, the step S13 of sterilizing in the air inlet and the air outlet of the electrical appliance according to the preset sterilization strategy according to the number of the persons includes: determining a preset number interval matched with the number of the personnel as a matching number interval; the larger the numerical value is, the larger the sterilization intensity corresponding to the preset sterilization strategy corresponding to the preset number interval is; and (5) sterilizing according to the sterilization strategies corresponding to the matched number intervals.
In this embodiment, a corresponding number interval is set for the sterilization intensity, and the data storage amount is reduced, where the number interval may be obtained by dividing a continuous number, for example, by dividing [1, 100] into four number intervals of [1, 25], [26, 50], [51, 75], [76, 100], or in other manners, which is not described herein again.
As shown in fig. 2, an embodiment of the present invention provides a sterilization control method. Compared with the sterilization hole method shown in fig. 1, the difference is that the control method further comprises the following steps:
and S21, when personnel activities occur in the preset area, carrying out animal recognition on the video image data based on the animal recognition model obtained by pre-training to obtain a recognition result.
In this embodiment, when a person moves in a preset area in the sterilization control method shown in fig. 1, the video image data is recognized by a pre-trained animal recognition model, and a recognition result of the video image data is obtained.
The animal identification model can be established through a convolutional neural network, for example, the animal identification model is established, whether at least one sample video image data and the sample video image data have a sample result of an animal or not is obtained, the sample video image data are respectively input into the animal identification model, prediction results are obtained, each prediction result is compared with the corresponding sample result to obtain relative deviation, and when each relative deviation is smaller than a preset threshold value, the animal identification model is judged to be converged, and the trained animal identification model is obtained.
And S22, judging whether animals exist in the preset area according to the identification result.
And S23, when the animal exists in the video image, increasing the sterilization intensity corresponding to the obtained sterilization strategy by a first preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased.
In this embodiment, whether an animal exists in the preset area is determined according to the result output by the animal identification model, because the animal carries more germs compared with the human body, and the domestic pet generally plays with the user, at this time, because personnel activities exist in the indoor environment, if an animal exists in the indoor environment, the sterilization intensity corresponding to the determined sterilization strategy is further increased, and the sterilization is performed according to the sterilization intensity after the intensity is increased, so as to improve the sterilization efficiency.
In this embodiment, when there is a person moving in the indoor environment, it is further determined whether there is an animal moving in the indoor environment, for example, a cat, a dog, or another pet, in this embodiment, the video image data is identified by the animal identification model to determine whether there is an animal, of course, it may also be determined whether there is a moving object other than a person in the indoor environment by the video image data, and it is determined whether there is an animal in the indoor environment by comparing the body shape and the habit of the moving object.
As shown in fig. 3, an embodiment of the present invention provides a sterilization control method. Compared with the sterilization hole method shown in fig. 1, the difference is that the control method further comprises the following steps:
and S31, acquiring the number of the personnel in each preset age group in the preset area when the personnel activities occur in the preset area.
In this embodiment, when a person moves in a preset area, the number of persons in the preset area is obtained according to the video image data, the person condition can be determined from the video image data according to whether the gait feature conforms to the walking gait feature of the person or not by obtaining the gait features of each person in the preset area, and since the persons at different ages have different body types and gait features, the age of the person can be substantially determined by the gait features, the age identification of the person can be completed by identifying the video image data through face identification, and the image identification can be completed through the image identification technology in the prior art, which is not described in detail herein.
And S32, judging whether people with the ages smaller than the first preset age exist in the preset area or not according to the number of the people in each preset age group, or judging whether people with the ages larger than the second preset age exist in the preset area or not.
And S33, when people with the age smaller than the first preset age exist in the preset area, or people with the age larger than the second preset age exist in the preset area, increasing the sterilization intensity corresponding to the obtained sterilization strategy by a second preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased.
In this embodiment, the first preset age in this scheme can be according to child's age setting, for example, can be set up by oneself by the user and can also be according to the automatic setting of the age that child in the general knowledge corresponds, the second preset age in this scheme can set up according to old man's age to in realizing this scheme, if appear older or less old personnel in the preset region, improve the bactericidal intensity of disinfecting in this scheme, in order to realize the care to the less personnel of immunity.
As shown in fig. 4, in the present embodiment, the step S31 of acquiring the number of persons in each preset age group in the preset area includes the following steps:
s41, carrying out face recognition on the video image data based on a face recognition model obtained by pre-training to obtain at least one group of face image data set; the face image data in the face image data group correspond to the same person.
In this embodiment, since the video image data in the present scheme is composed of image frames, face recognition may be performed on each frame of image, and a face image in the image is extracted, in order to reduce the amount of subsequent calculation, face recognition may be performed on the image in a frame-extracting manner, the number of the obtained face image data sets is limited, and when a sufficient number of face image data are obtained for any person, the acquisition of the face image data of the person is stopped, and the face image data of the person is composed into the face image data set.
In this embodiment, the face recognition model may be a model obtained by the prior art, or the face recognition model in this step may be established by referring to the processes of establishing the person number recognition model and the animal recognition model in the above embodiments, which is not described in detail in this embodiment.
And S42, respectively identifying the face image data in each group of face image data set based on the age identification model obtained by pre-training to obtain the person age of the person corresponding to the face image data set.
In this embodiment, the age identification model may be a model obtained by the prior art, or the human face identification model in this step may be established by referring to the process of establishing the person number identification model and the animal identification model in the above embodiments, which is not described in detail in this embodiment.
In this embodiment, the age recognition model may analyze the result obtained by the face image data in the face image data group, and the age with the largest number of consistent determination results may be used as the age of the person in this step.
And S43, dividing and counting the personnel according to the ages of the personnel according to the preset ages to obtain the personnel number of the personnel in each preset age.
In this embodiment, the age of the person appearing in the video image data is determined to further control the sterilization intensity of sterilization, and when there is a population with weak immunity, the sterilization intensity of sterilization is increased to ensure the safety of the population with weak immunity.
As shown in fig. 5, in this embodiment, the step S42 of respectively recognizing the face image data in each face image data set to obtain the age of the person corresponding to the face image data set includes the following steps:
and S51, respectively identifying the face image data in the face image data group aiming at each group of face image data group to obtain the predicted age of the person corresponding to each piece of face image data.
And S52, aiming at each group of face image data group, averaging the predicted person ages of the persons corresponding to each piece of face image data in the face image data group to obtain an average age which is used as the person age of the person corresponding to the face image data group.
In this embodiment, for each group of face image data sets, the age recognition model is averaged for each age obtained by the face image data to serve as the age of the person, so as to reduce the error of the result recognized by the age recognition model and improve the accuracy of judgment.
In a specific embodiment, the scheme expressed in the above embodiment is combined, and the power, duration and frequency of the sterilization module are controlled according to the number of people in the room, the classification of people and the condition of pets, and the specific scene mode is combined, so that the sterilization module is efficiently used, the energy is saved, and the service life is prolonged. For example, the working power of the sterilization module in the scheme is divided into three gears of low gear, medium gear and high gear, the sterilization intensity is different in different powers, the higher the power is, the higher the sterilization intensity is, and the duration and the frequency of the sterilization module are set according to different use conditions.
According to the difference of the immunity of different indoor groups to bacteria, the number of people and the influence of the existence of pets on the generation and the propagation of bacteria, different sterilization mode classifications are carried out, and meanwhile, the immunity of people to bacteria is different under different specific scene modes.
Specifically, when the number of people in the indoor environment is more than 0 and less than or equal to 2, whether old people or children exist in the room is judged, and if the old people or the children do not exist in the room, the sterilization module operates for 0.5 hour every 2 hours at low power; if the old people or children exist, judging whether animals exist in the indoor environment, if the animals do not exist, operating the sterilization module for 1 hour at low power, and then operating the sterilization module for 0.5 hour every 1 hour at low power; if animals exist in the indoor environment, the sterilization module operates for 1 hour at medium power, and then operates for 0.5 hour at small power every 0.5 hour;
when the number of people in the indoor environment is more than 2 and less than or equal to 5, judging whether old people or children exist indoors, and if the old people or the children do not exist indoors, operating the sterilization module for 0.5 hour every 1.5 hours at low power; if the old people or children exist, judging whether animals exist in the indoor environment, if the animals do not exist, operating the sterilization module for 2 hours at low power, and then operating the sterilization module for 0.5 hour at every 1 hour at medium power; if animals exist in the indoor environment, the sterilization module operates for 2 hours at medium power, and then operates for 0.5 hour at every 0.5 hour at the medium power;
when the number of people in the indoor environment is more than 5, judging whether old people or children exist indoors, and if the old people or children do not exist indoors, operating the sterilization module for 0.5 hour every 1 hour at medium power; if the old people or children exist, judging whether animals exist in the indoor environment, if the animals do not exist, operating the sterilization module at the medium power for 2 hours, and then operating the sterilization module at the medium power for 0.5 hour every 0.5 hour; if there are animals in the indoor environment, the sterilization module is operated for 2 hours at high power, and then operated for 0.5 hour at medium power every 0.5 hour.
As shown in fig. 6, an embodiment of the present invention provides a sterilization control device, which is applied to an electrical appliance including an air inlet and an air outlet. Referring to fig. 6, the control device includes: a first processing unit 11, a second processing unit 12 and a third processing unit 13.
In this embodiment, the first processing unit 11 is configured to acquire video image data in a preset area.
In this embodiment, the second processing unit 12 is configured to, when a person activity occurs in the preset area, obtain the number of people in the preset area according to the video image data.
In this embodiment, the third processing unit 13 is configured to perform sterilization in the air inlet and the air outlet of the electrical appliance according to a preset sterilization strategy according to the number of people, where the number of people is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
In this embodiment, the second processing unit 12 is further configured to perform animal recognition on the video image data based on an animal recognition model obtained through pre-training when a person moves in a preset area, so as to obtain a recognition result.
In this embodiment, the third processing unit 13 is further configured to determine whether an animal exists in the preset area according to the identification result; and when the animal exists in the video image, increasing the sterilization intensity corresponding to the obtained sterilization strategy by a first preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased.
In this embodiment, the second processing unit 12 is specifically configured to identify the video image data based on a people number identification model obtained through pre-training, so as to obtain the number of people in the video image data.
In this embodiment, the second processing unit 12 is specifically configured to obtain the number of people in each preset age group in the preset area when people move in the preset area.
In this embodiment, the third processing unit 13 is specifically configured to determine whether a person with an age smaller than a first preset age exists in the preset area or whether a person with an age larger than a second preset age exists in the preset area according to the number of persons in each preset age group; and when the people with the age smaller than the first preset age exist in the preset area or the people with the age larger than the second preset age exist in the preset area, increasing the sterilization intensity corresponding to the obtained sterilization strategy by second preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased.
In this embodiment, the second processing unit 12 is specifically configured to perform face recognition on video image data based on a face recognition model obtained through pre-training to obtain at least one group of face image data sets; the human face image data in the human face image data group correspond to the same person; respectively identifying the facial image data in each facial image data group based on an age identification model obtained by pre-training to obtain the personnel ages of the personnel corresponding to the facial image data groups; according to each preset age group, dividing and counting the personnel according to the age of the personnel to obtain the personnel number of the personnel in each preset age group.
In this embodiment, the second processing unit 12 is specifically configured to, for each group of face image data sets, respectively identify face image data in the face image data set, and obtain a predicted person age of a person corresponding to each piece of face image data; and averaging the predicted people ages of the people corresponding to each piece of face image data in the face image data group aiming at each group of face image data group to obtain an average age which is used as the people age of the people corresponding to the face image data group.
In this embodiment, the control device further includes: and a receiving unit, configured to receive a first control instruction including sterilization intensity or a second control instruction for selecting a preset sterilization mode, and send the first control instruction or the second control instruction to the third processing unit 13 when the first control instruction or the second control instruction is received.
In the present embodiment, the third processing unit 13 is specifically configured to, when receiving a first control instruction including the sterilization intensity;
sterilizing according to the sterilization intensity in the first control instruction; when a second control instruction for selecting a preset sterilization mode is received; or, the sterilization is performed according to the sterilization intensity corresponding to the sterilization mode in the second control command.
In this embodiment, the third processing unit 13 is specifically configured to determine a preset number interval to which the number of people matches, as a matching number interval; the larger the numerical value is, the larger the sterilization intensity corresponding to the preset sterilization strategy corresponding to the preset number interval is; and (5) sterilizing according to the sterilization strategies corresponding to the matched number intervals.
As shown in fig. 7, an embodiment of the present invention provides a sterilization control system, including: an electrical appliance including an air inlet and an air outlet; the control system further comprises: the processor 1110, the communication interface 1120, the memory 1130 and the communication bus 1140, wherein the processor 1110, the communication interface 1120 and the memory 1130 complete communication with each other through the communication bus 1140;
a memory 1130 for storing computer programs;
the processor 1110, when executing the program stored in the memory 1130, implements the following method:
acquiring video image data in a preset area;
when personnel activities occur in the preset area, acquiring the personnel number of the personnel in the preset area according to the video image data;
and sterilizing in the air inlet and the air outlet of the electric appliance according to the number of personnel according to a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
In the electronic device provided by the embodiment of the present invention, the processor 1110 determines the number of people in the preset area according to the video image data in the preset area when the program stored in the memory 1130 executes the activity of people in the preset area, performs sterilization in the air inlet and the air outlet of the electrical appliance according to the number of people and the sterilization strategy of people with corresponding strength, and performs sterilization on the air entering from the air inlet when the electrical appliance performs ventilation, thereby completing air purification of the indoor environment.
The communication bus 1140 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface 1120 is used for communication between the electronic device and other devices.
The memory 1130 may include a Random Access Memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory 1130 may also be at least one memory device located remotely from the processor 1110.
The processor 1110 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
Embodiments of the present invention provide a computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement a method of any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (ssd)), among others.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A sterilization control method is characterized by being applied to an electric appliance comprising an air inlet and an air outlet, and the control method comprises the following steps:
acquiring video image data in a preset area;
when personnel activities occur in the preset area, acquiring the personnel number of the personnel in the preset area according to the video image data;
and according to the number of the personnel, sterilizing in the air inlet and the air outlet of the electric appliance according to a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
2. The control method according to claim 1, characterized by further comprising:
when personnel activities occur in the preset area, carrying out animal recognition on the video image data based on an animal recognition model obtained by pre-training to obtain a recognition result;
judging whether animals exist in the preset area or not according to the identification result;
when the animals exist in the video image, increasing the sterilization intensity corresponding to the obtained sterilization strategy by a first preset intensity, and sterilizing according to the sterilization intensity after the intensity is increased;
wherein, the acquiring the number of the personnel in the preset area according to the video image data comprises:
and identifying the video image data based on a number of people identification model obtained by pre-training to obtain the number of people in the video image data.
3. The control method according to claim 1, wherein when a person activity occurs in the preset area, the number of persons in the preset area is obtained according to the video image data; according to the number of the personnel, sterilizing in the air inlet and the air outlet of the electric appliance according to a preset sterilization strategy, comprising the following steps:
when personnel activities occur in the preset area, acquiring the personnel number of personnel in each preset age group in the preset area;
judging whether people with the age smaller than a first preset age exist in the preset area or not or whether people with the age larger than a second preset age exist in the preset area or not according to the number of the people in each preset age group;
when the personnel with the age smaller than the first preset age exist in the preset area, or the personnel with the age larger than the second preset age exist in the preset area, the sterilization intensity corresponding to the obtained sterilization strategy is increased by the second preset intensity, and sterilization is performed according to the sterilization intensity after the intensity is increased.
4. The control method according to claim 3, wherein the acquiring the number of persons of each predetermined age group in the predetermined area includes:
carrying out face recognition on the video image data based on a face recognition model obtained by pre-training to obtain at least one group of face image data set; wherein the face image data in the face image data group correspond to the same person;
respectively identifying the face image data in each face image data group based on an age identification model obtained by pre-training to obtain the person age of the person corresponding to the face image data group;
according to each preset age group, dividing and counting the personnel according to the age of the personnel to obtain the personnel number of the personnel in each preset age group.
5. The control method according to claim 4, wherein the separately identifying the face image data in each face image data set to obtain the person age of the person corresponding to the face image data set comprises:
respectively identifying the face image data in the face image data groups aiming at each group of face image data groups to obtain the predicted age of the person corresponding to each piece of face image data;
and averaging the predicted people ages of the people corresponding to each piece of face image data in the face image data group aiming at each group of face image data group to obtain an average age which is used as the people age of the people corresponding to the face image data group.
6. The control method according to claim 1, characterized by further comprising:
when a first control instruction containing the sterilization intensity is received;
sterilizing according to the sterilization intensity in the first control instruction;
when a second control instruction for selecting a preset sterilization mode is received;
and sterilizing according to the sterilization intensity corresponding to the sterilization mode in the second control command.
7. The control method according to any one of claims 1 to 6, wherein the sterilizing in the air inlet and the air outlet of the electric appliance according to the number of the people and according to a preset sterilizing strategy comprises:
determining a preset number interval matched with the number of the personnel as a matching number interval; the larger the numerical value is, the larger the sterilization intensity corresponding to the preset sterilization strategy corresponding to the preset number interval is;
and sterilizing according to the sterilization strategy corresponding to the matching number interval.
8. A sterilization control device is characterized in that the sterilization control device is applied to an electric appliance comprising an air inlet and an air outlet; the control device includes:
the first processing unit is used for acquiring video image data in a preset area;
the second processing unit is used for acquiring the number of personnel in the preset area according to the video image data when personnel activities occur in the preset area;
and the third processing unit is used for sterilizing in the air inlet and the air outlet of the electric appliance according to the number of the personnel and a preset sterilization strategy, wherein the number of the personnel is in direct proportion to the sterilization intensity corresponding to the sterilization strategy.
9. A sterilization control system, comprising: an electrical appliance including an air inlet and an air outlet; the control system also comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory finish mutual communication through the communication bus;
a memory for storing a computer program;
a processor for implementing the sterilization control method according to any one of claims 1 to 7 when executing the program stored in the memory.
10. A computer-readable storage medium storing one or more programs which are executable by one or more processors to implement the sterilization control method according to any one of claims 1 to 7.
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Application publication date: 20210312 |