CN112836622A - Method for intelligently controlling air conditioner, electronic equipment and storage medium - Google Patents
Method for intelligently controlling air conditioner, electronic equipment and storage medium Download PDFInfo
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Abstract
The application relates to a method for intelligently controlling an air conditioner. The method comprises the following steps: monitoring a target area, and if a living being enters the target area, acquiring monitoring image information; comparing the monitoring image information with the human body image information to obtain a human body image matching rate; and controlling the starting of the air conditioner according to the comparison result of the human body image matching rate and the matching rate threshold. According to the scheme provided by the application, the target area can be monitored, when a living being enters, the monitored image is obtained, the human body image in the database is compared according to the monitored image to obtain the matching rate, then the matching rate is compared with the matching rate threshold value, and the air conditioner is controlled according to the comparison result; the method has the advantages that the method can send out alarm signals when non-human beings enter a target area, can reduce the use of air conditioner controllers, reduces the energy consumption of the air conditioner and the dependence of users on the air conditioner controllers, realizes intelligent control of the air conditioner, and improves the user embodiment.
Description
Technical Field
The present disclosure relates to the field of air conditioner control technologies, and in particular, to a method, an electronic device, and a storage medium for intelligently controlling an air conditioner.
Background
With the development of artificial intelligence technology, the use of traditional air-conditioning products becomes more and more intelligent and humanized, and although the air-conditioner has a control function at present, the control function is mostly realized by a remote controller. The operation of controlling the air conditioner through the remote controller is relatively complex, manual operation is needed for controlling the air conditioner, and the user experience is inconvenient.
Disclosure of Invention
In order to overcome the problems in the related art, the application provides a method for intelligently controlling an air conditioner, the method can control the air conditioner without a controller, and the aim of controlling the air conditioner is fulfilled by detecting a target area according to the matching result of a biological image entering the target area and a portrait image in a database, so that the intellectualization of the air conditioner is realized.
The application provides a method for intelligently controlling an air conditioner, which comprises the following steps
Monitoring a target area, and if a living being enters the target area, acquiring monitoring image information; the monitoring image information includes: position coordinate information, a contour imaging graph and a temperature thermal image distribution graph;
comparing the monitoring image information with the human body image information to obtain a human body image matching rate;
and controlling the starting of the air conditioner according to the comparison result of the human body image matching rate and a matching rate threshold value, wherein the matching rate threshold value is a reference parameter according to which the human body matching degree is judged.
In one implementation, the obtaining of the monitoring image information includes:
respectively acquiring first monitoring image information corresponding to a first moment and second monitoring image information corresponding to a second moment;
comparing the first monitoring image information with the second monitoring image information, and confirming the matching degree of the first monitoring image information and the second monitoring image information;
if the matching degree is lower than a preset threshold value, determining that a living being enters the target area;
and if the matching degree is higher than or equal to a preset threshold value, determining that no living beings enter the target area.
In an implementation method, the method, while controlling the start of the air conditioner according to the comparison result between the human body image matching rate and the first matching rate threshold, further includes:
if the matching rate of the human body image is smaller than the threshold value of the matching rate, alarm information is sent out;
and if the human body image matching rate is greater than or equal to the matching rate threshold value, starting the air conditioner.
In one implementation, after the sending the alarm message, the method further includes:
starting a false alarm prevention device and outputting an alarm prompt voice;
acquiring a voice instruction sent by a user;
carrying out voice recognition on the voice instruction;
matching an action instruction corresponding to the air conditioner according to the voice recognition result;
and if the action command is the alarm closing information, executing the operation of closing the alarm information.
In one embodiment of the method of carrying out the method,
the position coordinate information is three-dimensional coordinate information determined based on the air conditioner, and the three-dimensional coordinate information includes: a horizontal axis coordinate parameter, a vertical axis coordinate parameter and a vertical axis coordinate parameter;
acquiring contour coordinate information of the contour imaging graph, wherein the contour coordinate information is coordinate information of millimeter wave signals fed back by a millimeter radar wave device through reflectors of a target area;
and generating a combined graph which is an accurate model graph of the combination of the millimeter radar wave device and the infrared thermal imaging device according to the contour coordinate information.
In one implementation method, after acquiring the monitoring image information, the method further includes:
extracting a biological model from the temperature thermal image distribution map of the monitoring image information to obtain biological model image information;
and comparing the biological model image information with N animal image information to obtain N animal image matching rates, wherein N is the number of the animal image information types stored in the database.
In one implementation method, after obtaining the N animal image matching rates, the method further includes:
sorting the matching rates of the N animal images, and determining the animal type corresponding to the maximum matching rate of the N animal images;
determining the hazard grade of the animal corresponding to the monitoring image information according to the animal type;
sending out corresponding alarm sound according to the hazard grade;
the hazard ratings for the animals include: low-harm animals and high-harm animals.
In one embodiment of the method of carrying out the method,
the low-harm animal image information comprises: insect, avian and murine animals;
the image information of the high-risk animals comprises: snakes, felines, and canines.
In an implementation method of the present application, an electronic device is provided, including:
a processor; and
a memory having executable code stored thereon, which, when executed by the processor, causes the processor to perform a method of intelligently controlling an air conditioner.
In one implementation, a non-transitory machine-readable storage medium is provided having executable code stored thereon, which when executed by a processor of an electronic device, causes the processor to perform the method of intelligently controlling an air conditioner as above.
The technical scheme provided by the application can comprise the following beneficial effects:
according to the technical scheme, a target area is monitored through a high-precision millimeter wave radar and an infrared thermal radiation imager of the air conditioner, when a living being enters, a monitoring image is obtained, human body images in a database are compared according to the monitoring image to obtain a matching rate, then the matching rate is compared with a matching rate threshold value, and the air conditioner is controlled according to a comparison result; meanwhile, an alarm signal is given for the non-human entering the target area. By the mode, the use of the air conditioner controller can be reduced, the energy consumption of the air conditioner and the dependence of a user on the air conditioner controller are reduced, the intelligent control of the air conditioner is realized, and the user embodiment is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The foregoing and other objects, features and advantages of the application will be apparent from the following more particular descriptions of exemplary embodiments of the application, as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the application.
Fig. 1 is a schematic flowchart illustrating a method for intelligently controlling an air conditioner according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for intelligently controlling an air conditioner to biologically enter a target area according to an embodiment of the present application;
FIG. 3 is a schematic flow chart illustrating a hazard level of a method for intelligently controlling an air conditioner according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device shown in an embodiment of the present application.
Detailed Description
Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In view of the above problems, embodiments of the present application provide a method for intelligently controlling an air conditioner, which can simply and effectively implement intelligent control on the air conditioner.
The technical solutions of the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method for intelligently controlling an air conditioner according to an embodiment of the present application.
Referring to fig. 1, an embodiment of a method for intelligently controlling an air conditioner in the embodiment of the present application includes:
101. monitoring a target area, and if a living being enters the target area, acquiring monitoring image information; the monitoring image information includes: position coordinate information, a contour imaging graph and a temperature thermal image distribution graph;
in this embodiment, the monitoring image information is a combined graph, where the combined graph includes position coordinate information, and the information is three-dimensional coordinate information determined based on the position of the air conditioner center, specifically: horizontal axis coordinates, vertical axis coordinates and vertical axis coordinates; it should be noted that the combined map is combined by the profile image map and the thermographic temperature distribution map, and the steps are as follows: acquiring contour coordinate information of a contour imaging graph (coordinate information of millimeter wave signals fed back by a millimeter radar wave device through a reflector of a target area); from the contour coordinate information, a bonding map (a precise model map of a combination of a millimeter radar wave device and an infrared thermal imaging device) is generated. The specific implementation is as follows: the contour imaging graph and the thermographic distribution graph are imaging graphs in the same target area, and corresponding coordinate information is corresponding; therefore, the contour coordinate information of the contour imaging graph is input in the thermographic distribution diagram through calculation processing, finally the computer generates the contour imaging graph of the living body or the object, the contour of each object or living body exists in the new thermographic distribution diagram, and the contour of the monitored object can be clearly seen.
In the embodiment of the application, a target area is monitored through a high-precision millimeter wave radar and an infrared thermal radiation imager on an air conditioner, if a living being enters the target area, the millimeter wave radar marks biological coordinate information and a biological outline according to the position and the shape of the living being, and the biological outline and the target area where the biological outline is located generate images; an infrared thermal radiation imager generates images of a target area and a living being in the area; when the high-precision millimeter wave radar and the infrared thermal radiation imager detect that a living being enters the area in time, the high-precision millimeter wave radar and the infrared thermal radiation imager automatically acquire image information at the entering moment, except for acquiring images, processing and recording objects and the positions of the living being in the images, sending the acquired image information and position information to a processor, and analyzing and processing the image information and the position information by the processor.
In the embodiment of the present application, the infrared thermal radiation imager is a device that detects infrared radiation of a target object by using an infrared thermal imaging technology, and converts a temperature distribution image of the target object into a video image by means of photoelectric conversion, signal processing, and the like; the high-precision millimeter wave radar is a radar which works in a millimeter wave band (millimeter wave) for detection, and the millimeter wave is a radar with a frequency domain of 77GHz (the wavelength is 1-10 mm).
102. Comparing the monitoring image information with the human body image information to obtain a human body image matching rate;
in the embodiment of the application, when the monitoring image information is acquired, the human body image information in the database is read, the monitoring image information is compared with the human body image information through the processor, the comparison refers to comparing the characteristics in the monitoring image information and the image information input by a user, and the image matching rate between the monitoring image information and the image information is determined according to the calculation of the characteristic quantity; the feature types in the image information include the following: the position information of the living beings in the image information, the position information of the outline and the shape of the living beings, the coordinate proportion, the temperature of the human body image and the entering living beings, the proportion among the length, the width and the height of the living beings and the like; the human body image matching rate is a matching rate between an image of a living being entering the target area and a human body image, and a specific ratio is determined by a ratio of the number of the same features between the image of the living being and the human body image to the total number of the features, for example, if the total number of the features of the human body image is 20, and the number of the features of the living being entering the target area is 15, the matching rate is 75%.
The human body image information refers to human body image information stored in a database, and the human body image information is acquired by a user through a mobile terminal, and then the mobile terminal sends image data to the database for storage; it should be noted that the database also contains other information, which includes the following specific contents: and monitoring the stored image information, image information of other animals reserved in the factory, a source code for controlling the on-off of an air conditioner, model data in a target area and the like.
103. And controlling the starting of the air conditioner according to the comparison result of the human body image matching rate and a matching rate threshold value, wherein the matching rate threshold value is a reference parameter according to which the human body matching degree is judged.
In the embodiment of the application, the matching rate threshold can be a preset value or an empirical value, and the human body image matching rate is compared with the matching rate threshold, namely the size of the two values is compared;
if the matching rate of the human body image is smaller than the threshold value of the matching rate, alarm information is sent out; when the image matching rate is smaller than the matching rate threshold value (namely the creature is not a human being), the non-human biological processor sends a playing alarm instruction to the voice system according to the comparison result, and after the voice system receives the instruction, the false alarm prevention device is started, and the alarm voice stored in the database is played; after the false alarm preventing device is started, if a user thinks that the alarm is caused by false alarm, a voice instruction should be input into the false alarm preventing device within 1 minute, the voice instruction should be configured with a plurality of voice instructions stored in a database, a processor can identify the voice instruction, and the alarm is closed after the corresponding voice instruction is received; if the user can not input the voice command within one minute, the alarm is continued; it should be noted that, in practical applications, when the voice command is recognized incorrectly or not, the anti-error device cannot turn off the alarm.
If the matching rate of the human body image is larger than or equal to the matching rate threshold value, the processor proves that the creature entering the target area is a human being, and sends an air conditioner starting instruction to the air conditioner controller according to the comparison result (the creature entering the target area is a human being), so that the air conditioner is started. For example, setting the matching rate threshold to be 75%, assuming that the processor finds that a living being enters the target area, comparing the living being, calculating to obtain that the human body image matching rate is 75%, namely the matching rate threshold is equal to the human body image matching rate, determining that the entering living being is a human being, sending a starting instruction to the air conditioner controller by the processor, and starting the operation of the air conditioner.
The technical scheme of the application identifies the living beings entering the target area, obtains image information of the entering living beings, compares the image information of the living beings with the image information of the human body to determine the matching rate of the image of the human body, and then determines whether to control the operation of the air conditioner or not according to the comparison between the matching rate of the image of the human body and the threshold value of the matching rate; for non-human creatures, no air conditioning is operated; when the human enters the target area, the air conditioner is operated; through implementing this scheme, can reduce the use to air conditioner controller, reduce the power consumption of air conditioner and the user to air conditioner controller's dependence, realize intelligent control air conditioner, promote the user and embody.
For ease of understanding, an application example of the method for intelligently controlling the air conditioner is provided below for explanation, please refer to fig. 2, and fig. 2 is a schematic flow chart of determining that a living being enters a target area before acquiring monitoring image information (i.e. how to determine that a living being enters the target area), including:
201. respectively acquiring first monitoring image information corresponding to a first moment and second monitoring image information corresponding to a second moment;
in the embodiment of the present application, the first monitored image information corresponding to the first time is image information before the organism enters the target area, the second monitored image information corresponding to the second time is image information after the organism enters the target area, and the time difference between the first time and the second time is set by a user or according to an empirical value before the first time and the second time; the places where the first monitoring image information and the second monitoring image information are consistent comprise the room size of the target area, the object arrangement position coordinate information in the target area and the like. For example, the time difference between the second time and the first time is set to be 1s, one piece of image information is intercepted every 1s, and the image information intercepted before 1s is first monitoring image information; and the image information intercepted after 1s is second monitoring image information, and the difference between the first moment and the second moment is 1 s.
202. Comparing the first monitoring image information with the second monitoring image information, and confirming the matching degree of the first monitoring image information and the second monitoring image information;
in the embodiment of the application, the matching degree generally refers to the data measurement of the similarity of the infrared spectrum of a certain substance compared with the standard spectrum of the pure substance, the infrared spectrums of the first monitoring image information and the second monitoring image information are compared, and the matching degree (namely the similarity of the calculated curve) is calculated and determined; assuming that the first monitoring image information is a standard map and the second monitoring image information is an infrared spectrum, calculating the similarity of curves according to a basic principle, firstly carrying out standardization, and carrying out analysis and calculation under the same condition to obtain the matching degree;
it should be noted that, in practical applications, when the similarity of the first monitored image information is greatly different from that of the second monitored image information due to too fast movement of the living being in the separated time, the maximum similarity of the plurality of pieces of image information should be taken as the matching degree.
203. If the matching degree is lower than a preset threshold value, determining that a living being enters the target area; and if the matching degree is higher than or equal to a preset threshold value, determining that no living beings enter the target area.
In the embodiment of the application, if the matching degree is 80%, the threshold value of the matching degree is set to be 75% by a user, and the matching degree is higher than the preset threshold value, it is determined that no living being enters the target area; if the matching degree is 60% and is lower than a preset threshold value, determining that a living being enters the target area, and intercepting monitoring image information; in practical application, the threshold value has a large influence on the judgment, and when the threshold value is too high or too low, a user can change the threshold value according to the actual situation.
For convenience of understanding, an application embodiment of the method for intelligently controlling an air conditioner is provided as follows, please refer to fig. 3, and fig. 3 is a schematic flow chart of determining a hazard level after acquiring monitoring image information, which includes:
301. extracting a biological model from the temperature thermal image distribution map of the monitoring image information to obtain biological model image information;
in the embodiment of the application, according to the fact that the thermal image distribution diagram is an image with different color distribution caused by temperature difference, the temperature is often lower and the color distribution is different for an abiotic thermal image; extracting a temperature thermal image distribution diagram, a contour imaging diagram and position coordinate information in the monitored image information by using a computer, inputting coordinate parameters on the corresponding temperature thermal image distribution diagram according to the position coordinate information, simultaneously combining the contour imaging diagram with the temperature thermal image distribution diagram, and shearing the temperature thermal image distribution diagram according to the contour to obtain biological model image information;
it should be noted that the biometric model image information is information that the facial features of human and animals cannot be known, and can be recognized and determined only by the facial image.
302. Comparing the biological model image information with N animal image information to obtain N animal image matching rates, wherein N is the number of the animal image information types stored in the database;
in the examples of the present application, N animals include: low-harm animals and high-harm animals, wherein the low-harm animals are insects, birds, rats and other animals; the high-hazard animal image is believed to be animals of the types of snake animals, feline animals, canine animals and the like, and the comparison of the biological model image information with the N animal image information means that the acquired biological model image information is respectively compared with the image information of the snake animals, the feline animals, the canine animals, the insect animals, the avian animals and the murine animals one by one to obtain the matching rate of the N animal images. For example, assuming that N is 6 types of animal image information, 6 types of animal image information are compared with the acquired biometric image information, respectively, to obtain 6 animal image matching rates.
It is noted that the N animal image information may be determined according to the actual number of species, more or less; and the image information of the animal can be added or reduced through the mobile terminal.
303. And sorting the matching rates of the N animal images, and determining the animal type corresponding to the maximum animal image matching rate in the N animal image matching rates.
In the embodiment of the application, matching rate sequencing is performed on the matching rates of the N animal images, and the animal type corresponding to the largest animal image matching rate in the matching rates of the N animal images is determined, so that in practical application, for animal types with larger differences, the characteristic difference is obvious, and the matching rate is easier to determine, such as snakes and dogs; for animals with insignificant differences, the pairing rates are relatively error prone, e.g., wolfs and dogs;
in the matching rate of N animal image matching rates, the matching rate should be performed according to actual conditions at the time, for example: the matching rates of 6 animal images are sorted according to size, and if the matching rate of the animal images corresponding to the feline animals is the largest among the matching rates of the 6 animal images, the creature entering the target area is determined to be a high-harm animal; it is noted that in practical applications, it is possible to enter multiple living beings simultaneously, and if the high-harm animals and the low-harm animals enter simultaneously, warning signals are respectively given.
Fig. 4 is a schematic structural diagram of an electronic device shown in an embodiment of the present application.
Referring to fig. 4, an electronic device 400 includes a memory 410 and a processor 420.
The Processor 420 may be a Central Processing Unit (CPU), other general purpose Processor, 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, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 410 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions that are required by the processor 420 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, the memory 410 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic and/or optical disks, may also be employed. In some embodiments, memory 410 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disc, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 410 has stored thereon executable code that, when processed by the processor 420, may cause the processor 420 to perform some or all of the methods described above.
The aspects of the present application have been described in detail hereinabove with reference to the accompanying drawings. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. Those skilled in the art should also appreciate that the acts and modules referred to in the specification are not necessarily required in the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application may be combined, divided, and deleted according to actual needs.
Furthermore, the method according to the present application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing some or all of the steps of the above-described method of the present application.
Alternatively, the present application may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or electronic device, server, etc.), causes the processor to perform part or all of the various steps of the above-described method according to the present application.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the applications disclosed herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A method for intelligently controlling an air conditioner is characterized in that:
monitoring a target area, and if a living being enters the target area, acquiring monitoring image information; the monitoring image information includes: position coordinate information, a contour imaging graph and a temperature thermal image distribution graph;
comparing the monitoring image information with human body image information to obtain a human body image matching rate;
and controlling the starting of the air conditioner according to the comparison result of the human body image matching rate and a matching rate threshold value, wherein the matching rate threshold value is a reference parameter according to which the human body matching degree is judged.
2. The method of claim 1, wherein prior to obtaining the monitoring image information, comprising:
respectively acquiring first monitoring image information corresponding to a first moment and second monitoring image information corresponding to a second moment;
comparing the first monitoring image information with the second monitoring image information, and confirming the matching degree of the first monitoring image information and the second monitoring image information;
if the matching degree is lower than a preset threshold value, determining that a living being enters the target area;
and if the matching degree is higher than or equal to a preset threshold value, determining that no living creatures enter the target area.
3. The method according to claim 1, wherein the method, while controlling the start of the air conditioner according to the comparison result between the human body image matching rate and the first matching rate threshold, further comprises:
if the human body image matching rate is smaller than the matching rate threshold value, alarm information is sent out;
and if the human body image matching rate is greater than or equal to the matching rate threshold value, starting an air conditioner.
4. The method of claim 3, wherein after issuing the alert message, further comprising:
starting a false alarm prevention device and outputting an alarm prompt voice;
acquiring a voice instruction sent by a user;
performing voice recognition on the voice instruction;
matching an action instruction corresponding to the air conditioner according to a voice recognition result;
and if the action command is to close the alarm information, executing the operation of closing the alarm information.
5. The method of claim 1,
the position coordinate information is three-dimensional coordinate information determined based on an air conditioner, and the three-dimensional coordinate information includes: a horizontal axis coordinate parameter, a vertical axis coordinate parameter and a vertical axis coordinate parameter; acquiring contour coordinate information of the contour imaging graph, wherein the contour coordinate information is coordinate information of millimeter wave signals fed back by a millimeter radar wave device through reflectors of a target area;
and generating a combined graph according to the contour coordinate information, wherein the combined graph is an accurate model graph of the combination of the millimeter radar wave device and the infrared thermal imaging device.
6. The method of claim 1, wherein after the obtaining the monitoring image information, further comprising:
performing biological model extraction on the temperature thermal image distribution diagram of the monitoring image information to obtain biological model image information;
and comparing the biological model image information with N animal image information to obtain N animal image matching rates, wherein N is the number of the animal image information types stored in the database.
7. The method of claim 6, wherein after obtaining the N animal image matching rates, further comprising:
sorting the matching rates of the N animal images, and determining the animal type corresponding to the maximum matching rate of the N animal images;
determining the hazard grade of the animal corresponding to the monitoring image information according to the animal type;
sending out corresponding alarm sound according to the hazard grade;
the hazard ratings of the animals include: low-harm animals and high-harm animals.
8. The method of claim 7,
the low-hazard animal image information comprises: insect, avian and murine animals;
the image information of the high-risk animals comprises: snakes, felines, and canines.
9. An electronic device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any one of claims 1-8.
10. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any one of claims 1-8.
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| CN114724256A (en) * | 2022-04-19 | 2022-07-08 | 盐城鸿石智能科技有限公司 | Human body induction control system and method with image analysis function |
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| CN114724256A (en) * | 2022-04-19 | 2022-07-08 | 盐城鸿石智能科技有限公司 | Human body induction control system and method with image analysis function |
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