CN115507519A - Method and device for monitoring air conditioner, air conditioner and storage medium - Google Patents

Method and device for monitoring air conditioner, air conditioner and storage medium Download PDF

Info

Publication number
CN115507519A
CN115507519A CN202211200858.3A CN202211200858A CN115507519A CN 115507519 A CN115507519 A CN 115507519A CN 202211200858 A CN202211200858 A CN 202211200858A CN 115507519 A CN115507519 A CN 115507519A
Authority
CN
China
Prior art keywords
air conditioner
space model
information
image information
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211200858.3A
Other languages
Chinese (zh)
Inventor
孟宪洋
潘玉琪
崔永伟
孙强
孙权
王伟
陈佳惠
孟静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Haier Air Conditioner Gen Corp Ltd
Qingdao Haier Air Conditioning Electric Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Air Conditioner Gen Corp Ltd
Qingdao Haier Air Conditioning Electric Co Ltd
Haier Smart Home Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Haier Air Conditioner Gen Corp Ltd, Qingdao Haier Air Conditioning Electric Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Air Conditioner Gen Corp Ltd
Priority to CN202211200858.3A priority Critical patent/CN115507519A/en
Publication of CN115507519A publication Critical patent/CN115507519A/en
Priority to PCT/CN2023/093512 priority patent/WO2024066375A1/en
Pending legal-status Critical Current

Links

Images

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/65Electronic processing for selecting an operating mode
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52Indication arrangements, e.g. displays
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/50Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61Control or safety arrangements characterised by user interfaces or communication using timers
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/89Arrangement or mounting of control or safety devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00Control inputs relating to users or occupants
    • F24F2120/20Feedback from users

Landscapes

  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Selective Calling Equipment (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The application relates to the technical field of intelligent household appliances, and discloses a method for monitoring an air conditioner, which comprises the following steps: acquiring image information in the identification area; calling a corresponding space model according to the image information; and determining the state of the target user according to the image information and the space model. And the state of the target user is accurately judged through the image information and the space model established aiming at the recognizable area. And acquiring image information in the recognizable area through the air conditioner, and calling a space model corresponding to the image information. The image information and the space model accurately position the current target user, so that the posture and posture of the target user are judged, and the current state of the target user can be accurately judged according to the daily behavior habit of the user. Therefore, the accuracy of state judgment of the target user can be effectively improved. The application also discloses a device for monitoring the air conditioner, the air conditioner and a storage medium.

Description

Method and device for monitoring air conditioner, air conditioner and storage medium
Technical Field
The present application relates to the field of intelligent household appliance technologies, and for example, to a method and an apparatus for monitoring an air conditioner, and a storage medium.
Background
In the modern society, people increasingly have strong demands for convenient, efficient, safe and comfortable home life. Due to the particularity of the old people, the prompt and randomness of abnormal health states exist, and considering that only old people live in the old dwelling house for a long time and children are not nearby, professional medical care personnel are usually arranged for the health of the old people under good family conditions. However, the monitoring system mainly based on human will often cause careless omission due to the existence of subjective and objective factors such as fatigue and external interference. Meanwhile, the long-term labor cost greatly increases the economic burden of the family.
In the related art, a nursing early warning method based on human body posture analysis is provided, which comprises the following steps: and recognizing the human body posture based on the monitoring video. And judging the activity mode of the monitored person according to the recognized human body posture. And sending a reminder and/or an alarm according to the activity mode of the monitored person.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
because the resolution of the video equipment is low, the actual state of the user is identified according to the monitoring video, the state judgment accuracy of the target user is insufficient due to the fact that the video picture is fuzzy, and therefore the user needs to spend manpower cost for correction.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present application and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended to be a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method and a device for monitoring an air conditioner, the air conditioner and a storage medium, so as to improve the accuracy of state judgment of a target user.
In some embodiments, the above method comprises: acquiring image information in the identification area; calling a corresponding space model according to the image information; and determining the state of the target user according to the image information and the space model.
Optionally, determining the state of the target user according to the image information and the spatial model includes: segmenting the image information according to the space model to form a plurality of segmentation areas; outputting target identification parameters to all the segmentation areas through a convolutional neural network; and determining the segmentation region to which the target user belongs as a target identification region according to the target identification parameter.
Optionally, after determining that the segmented region to which the target user belongs is the target identification region, the method further includes: extracting characteristic information of a target user in the target identification area; determining the actual state of the current user according to the characteristic information; and sending the actual state of the current user to the user side.
Optionally, before invoking the corresponding spatial model, the method further includes: scanning a monitorable area of the air conditioner when the air conditioner is started to operate; constructing an initial space model according to the scanning result; and sending the initial spatial model to the user terminal.
Optionally, after sending the initial spatial model to the user side, the method further includes: receiving feedback information of a user side; storing the initial space model under the condition that the feedback information contains confirmation information; when the feedback information includes correction information, the initial spatial model is corrected and stored.
Optionally, in a case where the correction information does not include the model error information, the method includes: according to the correction information, reconstructing the initial space model to obtain a target space model; and storing the target space model.
Optionally, in a case where the correction information includes model error information, the method includes: scanning the monitorable area of the air conditioner again; constructing a correction space model according to the scanning result and the correction information; and sending the corrected space model to the user side.
In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to, upon execution of the program instructions, perform the above-described method for air conditioner monitoring.
In some embodiments, the air conditioner includes: the device for monitoring the air conditioner is disclosed.
In some embodiments, the storage medium stores program instructions that, when executed, perform the method for air conditioner monitoring.
The method and the device for monitoring the air conditioner, the air conditioner and the storage medium provided by the embodiment of the disclosure can realize the following technical effects:
and the state of the target user is accurately judged through the image information and the space model established aiming at the recognizable area. And acquiring image information in the recognizable area through the air conditioner, and calling a space model corresponding to the image information. The image information and the space model accurately position the current target user, so that the posture and posture of the target user are judged, and the current state of the target user can be accurately judged according to the daily behavior habit of the user. Therefore, the accuracy of state judgment of the target user can be effectively improved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic diagram of a method for air conditioner monitoring provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of another method for air conditioner monitoring provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another method for air conditioner monitoring provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another method for air conditioner monitoring provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another method for air conditioner monitoring provided by an embodiment of the present disclosure;
fig. 6 is a schematic diagram of an apparatus for air conditioner monitoring according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and advantages of the embodiments of the present disclosure can be understood in detail, a more particular description of the embodiments of the disclosure, briefly summarized above, may be had by reference to the appended drawings, which are included to illustrate, but are not intended to limit the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and claims of the embodiments of the disclosure and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged as appropriate for the embodiments of the disclosure described herein. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. E.g., a and/or B, represents: a or B, or A and B.
The term "correspond" may refer to an association or binding relationship, and a corresponds to B refers to an association or binding relationship between a and B.
In the embodiment of the disclosure, the intelligent household appliance is a household appliance formed by introducing a microprocessor, a sensor technology and a network communication technology into the household appliance, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent household appliance usually depends on the application and processing of modern technologies such as internet of things, internet and an electronic chip, for example, the intelligent household appliance can realize the remote control and management of a user on the intelligent household appliance by connecting the intelligent household appliance with the electronic device.
In the disclosed embodiment, the terminal device is an electronic device with a wireless connection function, and the terminal device may be in communication connection with the above intelligent household appliance by connecting to the internet, or may be in communication connection with the above intelligent household appliance directly by means of bluetooth, wiFi, or the like. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a vehicle-mounted device built in a floating car, or any combination thereof. The mobile device may include, for example, a cell phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or the like, or any combination thereof, wherein the wearable device includes, for example: smart watches, smart bracelets, pedometers, and the like.
In the disclosed embodiment, an air conditioner is provided with a monitoring module for monitoring the range of action of the air conditioner. An electric power storage device which can be used for supplying power to the monitoring module is arranged in the monitoring module. The power storage device is connected with the power supply module of the air conditioner, and can supply power to the monitoring module through the power supply module under the condition that the air conditioner stops running and the electric quantity in the power storage device is insufficient. Preferably, the monitoring module can also obtain the electric energy directly through the power supply module. Under the condition that the air conditioner normally operates and the electric quantity in the electric storage device is insufficient, the air conditioner controls the power supply module to directly supply energy to the monitoring module, and meanwhile the air conditioner controls the power supply module to charge the electric storage device. The air conditioner also comprises a processor electrically connected with the monitoring module, the power supply module, the power storage device and the like.
Referring to fig. 1, an embodiment of the present disclosure provides a method for monitoring an air conditioner, including:
and S01, the air conditioner acquires image information in the identification area.
And S02, calling a corresponding space model by the air conditioner according to the image information.
And S03, the air conditioner determines the state of the target user according to the image information and the space model.
By adopting the method for monitoring the air conditioner, provided by the embodiment of the disclosure, the state of the target user can be accurately judged through the image information and the space model established aiming at the recognizable area. And acquiring image information in the recognizable area through the air conditioner, and calling a space model corresponding to the image information. The image information and the space model accurately position the current target user, so that the posture and posture of the target user are judged, and the current state of the target user can be accurately judged according to the daily behavior habit of the user. The recognizable area can be the maximum range of the air conditioner which can be monitored and recognized, and can also be a fixed position set according to the habit of a user. For example, during the user's daily sleep time, the identifiable region is a bed or bedroom. During the user's habitual eating times, the identifiable area is a kitchen or restaurant. In the habit leisure time of the user, the recognizable area is a living room, a study room or a bedroom and the like. That is, the recognizable area can be set by the user terminal, or can be automatically adjusted by the air conditioner according to the big data rule, which is not limited herein.
With reference to fig. 2, another method for monitoring an air conditioner according to an embodiment of the present disclosure includes:
and S01, the air conditioner acquires image information in the identification area.
And S02, calling a corresponding space model by the air conditioner according to the image information.
And S031, the air conditioner divides the image information according to the space model to form a plurality of divided areas.
And S032, outputting the target identification parameters to all the partition areas by the air conditioner through a convolutional neural network.
And S033, determining, by the air conditioner, the segmentation area to which the target user belongs as the target identification area according to the target identification parameter.
The target identification parameters comprise the occurrence probability of the target user in each divided area, the center coordinates of each divided area and the size information of each divided area.
By adopting the method for monitoring the air conditioner, which is provided by the embodiment of the disclosure, the accuracy of target identification can be improved. The recognition of the targets is defined as a regression problem of the occurrence probability of each target in the segmentation region by segmenting the image information. The probability, the center coordinate and the size of the segmentation area of each target are output by using the same convolution neural network for all the segmentation areas. Therefore, prediction is carried out based on the whole image information, and compared with other sliding window type detection frames which can only carry out reasoning based on local image information, the target recognition accuracy is higher. Therefore, by adopting the method, the interference of static articles such as furniture and household appliances and movable articles such as pets and curtains on the judgment can be effectively avoided, and the adverse effect caused by misjudgment is avoided. In addition, the method adopts a regression method and does not use a complex frame, so the identification speed is far faster than the detection method adopting a sliding window type detection frame.
With reference to fig. 3, another method for monitoring an air conditioner is provided in an embodiment of the present disclosure, including:
and S01, the air conditioner acquires image information in the identification area.
And S02, calling a corresponding space model by the air conditioner according to the image information.
S031, the air conditioner divides the image information according to the spatial model to form a plurality of divided regions.
And S032, outputting the target identification parameters to all the partitioned areas by the air conditioner through a convolutional neural network.
And S033, the air conditioner determines the segmentation area to which the target user belongs as a target identification area according to the target identification parameter.
S034, the air conditioner extracts feature information of the target user in the target identification area.
And S035, the air conditioner determines the actual state of the current user according to the characteristic information.
And S036, the air conditioner sends the actual state of the current user to the user side.
By adopting the method for monitoring the air conditioner, the probability of detecting the target can be improved. And the air conditioner determines the segmentation area to which the target user belongs as a target identification area according to the target identification parameter. And then, the human body posture can be estimated through a convolutional neural network algorithm. Namely, key nodes such as the head, the shoulder, the elbow, the wrist, the hip joint, the knee and the like of the human body in the target recognition area are appointed, so that the actual state of the current user is analyzed according to the algorithm. Therefore, the actual state of the user is sent to the user side so as to remind the user or carry out corresponding recording. In addition, region merging can be performed according to the similarity between the divided regions, and region iterative merging can be performed continuously. In the process of each iteration, the cutting areas are continuously subjected to circumscribed rectangles, so that the size consistency of the combined areas is ensured, the similar index diversity is improved, and the probability of detecting objects is improved.
Preferably, after analyzing the actual state of the user, the urgency of feedback is determined according to the actual state. Specifically, taking a nursing home or other type of mechanism as an example, when the actual state of the current user is determined to be lying, the current time node and the user state are sent to the user side and recorded. And when the actual state of the current user is judged to be rising or walking, sending prompt information to the user side to prompt the assistant of the guardian, and sending and recording the current time node and the user state to the user side. And when the actual state of the current user is determined to be lying on the stomach, sending prompt information to the user end to prompt a maintainer to check whether the state of the target user needs to be adjusted, and sending and recording the current time node and the user state to the user end. And when the actual state of the current user is judged to be changed in a long time, sending warning information to the user side to prompt a maintenance worker to check the state of the target user in time, and sending and recording the current time node and the user state to the user side.
With reference to fig. 4, another method for monitoring an air conditioner according to an embodiment of the present disclosure includes:
s041, when the air conditioner is started to operate, the monitoring module scans a monitorable area of the air conditioner.
And S042, the air conditioner constructs an initial space model according to the scanning result.
And S043, the air conditioner sends the initial space model to the user side.
And S01, the air conditioner acquires image information in the identification area.
And S02, calling a corresponding space model by the air conditioner according to the image information.
And S03, the air conditioner determines the state of the target user according to the image information and the space model.
By adopting the method for monitoring the air conditioner, the accuracy of state judgment of the target user can be improved by constructing the space model which accords with the current actual condition in time. In view of the fact that people use air conditioners frequently at present. Therefore, when the air conditioner is started to operate, the monitored area of the air conditioner is scanned and modeled, and the accuracy of the current space model is ensured. Meanwhile, the space model is sent to the user side, so that the user can visually see whether the current space model is reasonable or not. In addition, the user can accurately define the recognizable area of the air conditioner through the space model. For example, a plurality of areas are clicked to be set as a recognizable area, or a part of the areas are selected to be limited as the recognizable area, or automatically expanded to be located furniture (such as a bed, a sofa, a dining table) or a certain range (such as a boundary is cut off to a wall or furniture, or a regular pattern with a certain size is expanded by taking the point as the center) by taking the contact as the center. Therefore, convenience of user operation is improved, and accuracy of state judgment of the air conditioner on a target user is effectively guaranteed.
With reference to fig. 5, another method for monitoring an air conditioner according to an embodiment of the present disclosure includes:
s041, when the air conditioner is started to operate, the monitoring module scans a monitorable area of the air conditioner.
And S042, the air conditioner constructs an initial space model according to the scanning result.
And S043, the air conditioner sends the initial space model to the user side.
And S051, the air conditioner receives feedback information of the user side.
S052, if the feedback information includes the confirmation information, the air conditioner stores the initial space model.
And S053, when the feedback information comprises correction information, the air conditioner corrects and stores the initial space model.
And S01, the air conditioner acquires image information in the identification area.
And S02, calling a corresponding space model by the air conditioner according to the image information.
And S03, the air conditioner determines the state of the target user according to the image information and the space model.
Wherein the correction information includes one or more of stationary item information, moving item information, and model error information.
By adopting the method for monitoring the air conditioner, which is provided by the embodiment of the disclosure, the accuracy of the space model can be ensured. In order to avoid errors of the constructed space model, the accuracy of the state judgment of the target user is further influenced. After the initial space model is sent to the user side, the air conditioner receives feedback information of the user side. When the feedback information includes the confirmation information, the spatial model is judged to be reasonable, and at this time, the initial spatial model is directly stored for later use. If the feedback information includes correction information, it is determined that the spatial model has an error. At this time, the initial space model is corrected based on the correction information, and the air conditioner stores the corrected space model to remove error information existing in the initial space model.
Optionally, in a case where the correction information does not include the model error information, the air conditioner reconstructs the initial space model according to the correction information. The air conditioner obtains a target space model. The air conditioner stores the target space model.
Therefore, the accuracy of the space model can be better ensured. When the correction information does not include the model error information, it is determined that the structural error does not exist in the current spatial model, and the judgment is only inaccurate for the article information. At the moment, according to the static article information and/or the moving article information in the correction information, the corresponding article in the model is redefined, and the initial space model is reconstructed according to the corrected definition. Thereafter, the air conditioner stores the target space model for later use.
Optionally, in a case where the correction information includes model error information, the monitoring module scans a monitorable area of the air conditioner again. And the air conditioner constructs a correction space model according to the scanning result and the correction information. And the air conditioner sends the corrected space model to the user side.
Therefore, the accuracy of the space model can be better ensured. When the correction information includes model error information, it is assumed that there is an error that greatly deviates from the actual situation, such as a structural error in the current spatial model. At the moment, the original initial space model is abandoned, and the monitoring module carries out rescanning identification on the monitorable area of the air conditioner. And the air conditioner redefines corresponding articles in the model according to the scanning result and the static article information and/or the moving article information in the correction information. And constructing a corrected space model according to the corrected definition and the rescanning recognition result so as to ensure the accuracy of the model. Thereafter, the air conditioner stores the target space model for later use.
Optionally, the air conditioner obtains an update time period of the air conditioner after the storage model. And under the condition that the updating time length is greater than the time length threshold value, the air conditioner updates the stored space model. Or the air conditioner responds to an updating control instruction sent by the user side to update the stored space model.
Therefore, the accuracy of the space model can be better ensured. The method aims to avoid the problem that the air conditioner is not updated timely due to long-time continuous operation or long-time shutdown of the air conditioner, and further the accuracy of the air conditioner on the state monitoring of a target user is influenced. Therefore, in the case that the updating duration is greater than the duration threshold, the air conditioner updates the stored space model in order to ensure the accuracy of the space model. And in order to avoid untimely updating of the space model caused by the change of the indoor layout, a user can send an updating control instruction to the air conditioner through the client side so that the air conditioner can update the stored space model. And further, the accuracy of the space model can be effectively ensured.
As shown in fig. 6, an embodiment of the present disclosure provides an apparatus for monitoring an air conditioner, which includes a processor (processor) 100 and a memory (memory) 101. Optionally, the apparatus may also include a Communication Interface (Communication Interface) 102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call logic instructions in the memory 101 to perform the method for air conditioner monitoring of the above-described embodiment.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by executing program instructions/modules stored in the memory 101, i.e., implements the method for air conditioner monitoring in the above-described embodiment.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides an air conditioner, which comprises the device for monitoring the air conditioner.
Embodiments of the present disclosure provide a storage medium storing computer-executable instructions configured to perform the above-described method for air conditioner monitoring.
The storage medium may be a transitory storage medium or a non-transitory storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising a" \8230; "does not exclude the presence of additional like elements in a process, method or apparatus comprising the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosure, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. 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). 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. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims (10)

1. A method for air conditioner monitoring, comprising:
acquiring image information in the identification area;
calling a corresponding space model according to the image information;
and determining the state of the target user according to the image information and the space model.
2. The method of claim 1, wherein determining the state of the target user based on the image information and the spatial model comprises:
segmenting the image information according to the spatial model to form a plurality of segmented regions;
outputting target identification parameters to all the segmentation areas through a convolutional neural network;
and determining the segmentation region to which the target user belongs as a target identification region according to the target identification parameter.
3. The method according to claim 1, further comprising, after determining that the segmented region to which the target user belongs is the target identification region:
extracting characteristic information of a target user in the target identification area;
determining the actual state of the current user according to the characteristic information;
and sending the actual state of the current user to the user side.
4. The method of any of claims 1 to 3, further comprising, prior to said invoking the respective spatial model:
scanning a monitorable area of the air conditioner when the air conditioner is started to operate;
constructing an initial space model according to the scanning result;
and sending the initial space model to a user side.
5. The method according to claim 4, further comprising, after said sending the initial spatial model to the user side:
receiving feedback information of a user side;
storing the initial space model under the condition that the feedback information contains confirmation information;
and under the condition that the feedback information contains correction information, correcting and storing the initial space model.
6. The method according to claim 5, wherein the step of, in the case where the correction information does not include model error information, including:
according to the correction information, reconstructing the initial space model to obtain a target space model;
and storing the target space model.
7. The method according to claim 5, wherein, in the case that the correction information includes model error information, the method comprises:
scanning the monitorable area of the air conditioner again;
constructing a correction space model according to the scanning result and the correction information;
and sending the corrected space model to a user side.
8. An apparatus for air conditioner monitoring comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method for air conditioner monitoring of any one of claims 1 to 7 when executing the program instructions.
9. An air conditioner characterized by comprising the apparatus for air conditioner monitoring as claimed in claim 8.
10. A storage medium storing program instructions, characterized in that the program instructions, when executed, perform a method for air conditioner monitoring according to any one of claims 1 to 7.
CN202211200858.3A 2022-09-29 2022-09-29 Method and device for monitoring air conditioner, air conditioner and storage medium Pending CN115507519A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202211200858.3A CN115507519A (en) 2022-09-29 2022-09-29 Method and device for monitoring air conditioner, air conditioner and storage medium
PCT/CN2023/093512 WO2024066375A1 (en) 2022-09-29 2023-05-11 Method and apparatus used by air conditioner for monitoring, and air conditioner and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211200858.3A CN115507519A (en) 2022-09-29 2022-09-29 Method and device for monitoring air conditioner, air conditioner and storage medium

Publications (1)

Publication Number Publication Date
CN115507519A true CN115507519A (en) 2022-12-23

Family

ID=84508156

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211200858.3A Pending CN115507519A (en) 2022-09-29 2022-09-29 Method and device for monitoring air conditioner, air conditioner and storage medium

Country Status (2)

Country Link
CN (1) CN115507519A (en)
WO (1) WO2024066375A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024066375A1 (en) * 2022-09-29 2024-04-04 青岛海尔空调器有限总公司 Method and apparatus used by air conditioner for monitoring, and air conditioner and storage medium

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW200811749A (en) * 2006-08-17 2008-03-01 Inventec Corp System and method for setting image-monitoring region
CN107869827A (en) * 2017-10-24 2018-04-03 珠海格力电器股份有限公司 control method and device of air conditioner
CN111166290A (en) * 2020-01-06 2020-05-19 华为技术有限公司 Health state detection method, equipment and computer storage medium
CN113515981A (en) * 2020-05-22 2021-10-19 阿里巴巴集团控股有限公司 Identification method, device, equipment and storage medium
CN112699731A (en) * 2020-12-08 2021-04-23 珠海格力电器股份有限公司 Air conditioner music intelligent playing method and device based on human behavior recognition and air conditioner
CN113011409A (en) * 2021-04-02 2021-06-22 北京世纪好未来教育科技有限公司 Image identification method and device, electronic equipment and storage medium
CN113566395B (en) * 2021-08-02 2022-08-02 珠海格力电器股份有限公司 Air conditioner, control method and device thereof and computer readable storage medium
CN113819626A (en) * 2021-08-23 2021-12-21 青岛海尔空调器有限总公司 Method and device for controlling air conditioner and air conditioner
CN114593511B (en) * 2021-11-29 2023-02-17 青岛海尔空调器有限总公司 Method and device for controlling air outlet angle of air conditioner and terminal equipment
CN115507519A (en) * 2022-09-29 2022-12-23 青岛海尔空调器有限总公司 Method and device for monitoring air conditioner, air conditioner and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024066375A1 (en) * 2022-09-29 2024-04-04 青岛海尔空调器有限总公司 Method and apparatus used by air conditioner for monitoring, and air conditioner and storage medium

Also Published As

Publication number Publication date
WO2024066375A1 (en) 2024-04-04

Similar Documents

Publication Publication Date Title
US11369321B2 (en) Monitoring and tracking system, method, article and device
Taiwo et al. Enhanced intelligent smart home control and security system based on deep learning model
CN111507176B (en) Posture estimation device, action estimation device, recording medium, and posture estimation method
CN113251623A (en) Control method and control device for air conditioner and air conditioner
CN112949417A (en) Tumble behavior identification method, equipment and system
CN115507519A (en) Method and device for monitoring air conditioner, air conditioner and storage medium
CN111643017B (en) Cleaning robot control method and device based on schedule information and cleaning robot
CN107609474A (en) Body action identification method, device, robot and storage medium
CN112923537A (en) Air conditioner control method, air conditioner and computer readable storage medium
CN114496246A (en) Method and device for evaluating posture health and storage medium
CN112235740A (en) Individual work and rest monitoring method and system based on Internet of things
CN113311718B (en) Safety monitoring method and device for household electrical appliance and household electrical appliance
CN114879516A (en) Method, device, equipment and storage medium for message notification in home system
Kalra et al. Detection of daily living activities using a two-stage Markov model
KR20100137963A (en) Apparatus and method for activity pattern extraction and intention inference using incremental statistical methods
JP7314939B2 (en) Image recognition program, image recognition device, learning program, and learning device
CN115171153A (en) Object type determination method and device, storage medium and electronic device
Ravankar et al. Real-time monitoring of elderly people through computer vision
Fernandez-Carmona et al. Entropy-based abnormal activity detection fusing RGB-D and domotic sensors
CN113499037A (en) Method and device for determining sleep quality of user, electronic equipment and storage medium
CN112711233A (en) Intelligent household control method and device, processor, storage medium and electronic equipment
Vargiu et al. Experimenting quality of life telemonitoring in a real scenario.
Hoque et al. Semantic anomaly detection in daily activities
CN115614914A (en) Method and device for controlling air conditioner, air conditioner and storage medium
JP6292012B2 (en) Watch device, watch method and program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination