Control method and control device of air conditioner and air conditioner
By adjusting the air conditioner's air temperature and fan speed, combined with cloud databases and output methods, the problem of air conditioning failing to create a good learning environment for students was solved. This enabled the integration, reinforcement, and consolidation of knowledge points, improving learning efficiency and atmosphere.
Patent Information
- Application Number
- CN202310004546.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-03
- Publication Date
- 2025-12-19
- Estimated Expiration
- 2043-01-03
AI Technical Summary
Existing student air conditioners cannot achieve functions such as integrating, reinforcing, and consolidating knowledge points, and cannot create a good learning environment and a strong learning atmosphere.
By receiving learning mode commands, adjusting the air conditioner's air temperature and fan speed, acquiring user language data, extracting and outputting target knowledge points using a cloud database, and combining voice, text, or image output methods, a suitable learning environment is provided and knowledge points are output regularly.
It creates a low-temperature, low-wind learning environment to help users enter the best learning state, and improves learning efficiency through the functions of connecting, reinforcing and consolidating knowledge points, creating a strong learning atmosphere.
Smart Images

Figure CN116123660B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electrical appliances, in particular to a control method and device of an air conditioner and the air conditioner. BACKGROUND
[0002] The conventional student air conditioner in the related art cannot achieve the functions of knowledge point penetration, reinforcement and consolidation, and only has simple voice interaction to realize the solution to student problems, thus failing to create a good learning environment and a strong learning atmosphere for students. SUMMARY
[0003] The present application provides a control method and device of an air conditioner and the air conditioner to solve the defects in the prior art and achieve the following technical effects: a good learning environment and a strong learning atmosphere are created for students by parameter adjustment and regular knowledge point output, and the functions of knowledge point penetration, reinforcement and consolidation are achieved.
[0004] According to the control method of the air conditioner of the first aspect of the present application, the method comprises:
[0005] receiving an instruction to control the air conditioner to enter a learning mode;
[0006] lowering the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature, and adjusting the air speed to a low air speed gear;
[0007] obtaining language data input by a target user to the air conditioner, and extracting and summarizing target knowledge points based on the language data;
[0008] controlling the air conditioner to output the target knowledge points in at least one of voice output, text output or image output in a first set scene.
[0009] According to an embodiment of the present application, the step of obtaining language data input by a target user to the air conditioner and extracting and summarizing target knowledge points based on the language data comprises:
[0010] receiving at least one of voice information, image information and text information output by a target user and converting them into language data;
[0011] extracting corresponding knowledge points from the cloud database based on the language data and summarizing them to obtain the target knowledge points.
[0012] According to an embodiment of the present application, the target knowledge points include learned knowledge points; and the step of extracting corresponding target knowledge points from the cloud database based on the language data comprises:
[0013] judging the matching degree of the language data and data information in the cloud database;
[0014] extracting, in the cloud database, data information with a matching degree higher than a set matching degree as the learned knowledge point.
[0015] According to an embodiment of the present application, the target knowledge point further comprises an extended knowledge point; and the step of extracting the target knowledge point corresponding to the language data in the cloud database comprises:
[0016] extracting keywords from the language data and analyzing the occurrence times of the keywords;
[0017] determining the keywords with the occurrence times greater than the preset number of times as high-frequency words;
[0018] extracting data information corresponding to the high-frequency words in the cloud database and removing the learned knowledge point to obtain the extended knowledge point.
[0019] According to an embodiment of the present application, after the step of extracting the target knowledge point corresponding to the language data in the cloud database, the control method of the air conditioner further comprises:
[0020] comparing the language data with the learned knowledge point, recording the difference between the language data and the learned knowledge point as an easy-to-mistake knowledge point of the target user;
[0021] storing the easy-to-mistake knowledge point, and outputting the easy-to-mistake knowledge point to the target user in a second set scene through at least one of voice output, text output or image output.
[0022] According to an embodiment of the present application, after the step of extracting the target knowledge point corresponding to the language data in the cloud database, the control method of the air conditioner further comprises:
[0023] obtaining identity information of the target user;
[0024] determining and storing a learning condition of the target user according to the identity information, the easy-to-mistake knowledge point and the learned knowledge point;
[0025] outputting the learning condition to the target user and / or an associated user designated by the target user through at least one of voice output, text output or image output.
[0026] According to an embodiment of the present application, after the step of receiving the instruction of controlling the air conditioner to enter the learning mode 0, the control method of the air conditioner further comprises:
[0027] obtaining state information of the target user, and analyzing a learning state of the target user according to the real-time state information;
[0028] According to the learning state, the air conditioner is controlled to issue a voice reminder, and / or the air conditioner is controlled to
[0029] Play music of a set type;
[0030] 5wherein the state information includes facial expression information, body movement information, and voice information
[0031] of the target user, and the learning state includes an emotional state and a physical state.
[0032] According to one embodiment of the present application, the control of the air conditioner outputs the target knowledge point in the first set scene through at least one of voice output, text output, or image output.
[0033] The step of outputting the target knowledge point according to the learning state of the target user, specifically includes:
[0034] determining that the target user is in a sleep preparation state or a wake-up preparation state, and outputting the target knowledge point to the target user through voice output in a first set time period.
[0035] According to one embodiment of the present application, the step of adjusting the air outlet temperature of the air conditioner downward on the basis of the current set air outlet temperature specifically includes:
[0036] obtaining a running state of the air conditioner, and determining a set change temperature according to the running state and the current set air outlet temperature, wherein the running state includes a cooling state, a heating state, and a dehumidification state.
[0037]
[0038] controlling the air conditioner to reduce the set change temperature on the basis of the current set air outlet temperature to perform air outlet.
[0039] According to one embodiment of the present application, after the step of receiving the instruction of controlling the air conditioner to enter the learning mode, the control method of the air conditioner further includes:
[0040] obtaining a running state of the air conditioner, and adjusting the air deflector of the air conditioner according to the running state to make the air outlet airflow avoid the target user.
[0041] wherein the step of adjusting the air deflector of the air conditioner according to the running state to make the air outlet airflow avoid the target user specifically includes:
[0042] in the cooling state or the dehumidification state, controlling the air deflector of the air conditioner to swing upward;
[0043] in the heating state, controlling the air deflector of the air conditioner to swing downward.
[0044] 0According to an embodiment of the present application, after the step of receiving the instruction of controlling the air conditioner to enter the learning mode, the control method of the air conditioner further comprises:
[0045] controlling the buzzer of the air conditioner to be turned off.
[0046] According to the control device of the air conditioner of the second aspect embodiment of the present application, comprising:
[0047] The first receiving module is configured to receive an instruction of controlling the air conditioner to enter the learning mode.The first control module is configured to lower the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature, and adjust the air speed to a low air speed gear.
[0048] The second control module is configured to obtain language data input by the target user to the air conditioner, and extract and summarize the target knowledge points based on the language data.
[0049] The third control module is configured to control the air conditioner to output the target knowledge points in the first set scene through at least one of the following output modes: voice output, text output or image output.
[0050]
[0051] According to the air conditioner of the third aspect embodiment of the present application, comprising:
[0052] The controller is configured to execute the control method of the air conditioner according to the first aspect embodiment of the present application, or the control device of the air conditioner according to the second aspect embodiment of the present application.
[0053] 5According to the control method and the control device of the air conditioner and the air conditioner according to the embodiments of the present application, after the air conditioner enters the learning mode, the air conditioner is controlled and adjusted in two aspects.
[0054] On the one hand, the controller adjusts the working parameters of the air conditioner in the refrigeration process, the heating process and the dehumidification process, so as to create a learning environment with low temperature and low wind which is conducive to thinking and learning, and thus facilitate the target user to enter the best learning state in physiology. On the other hand, the controller extracts and summarizes the target knowledge points required by the target user, and outputs the target knowledge points to the target user in a specific scene environment, so as to assist the target user in learning and consolidating the target knowledge points, realize the functions of penetrating, strengthening and consolidating the knowledge points, and thus improve the learning efficiency of the target user and create a strong learning atmosphere for the target user. BRIEF DESCRIPTION OF DRAWINGS
[0055] In order to more clearly illustrate the technical solutions of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are only some embodiments of the present application, and the other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.
[0056] Figure 1 is a flowchart of the control method of the air conditioner provided by the present application;
[0057] Figure 2 is a structural schematic diagram of the control device of the air conditioner provided by the present application;
[0058] Figure 3 is a structural schematic diagram of the electronic device provided by the present application. DETAILED DESCRIPTION
[0059] In order to make the objects, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are only some embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort are within the scope of protection of the present application.
[0060] The control method, control device and air conditioner of the present application will be described below with reference to the drawings. Before the embodiments of the present application are described in detail, the whole application scenario will be described first. The control method, control device, electronic device and computer readable storage medium of the air conditioner of the embodiments of the present application can be applied to the air conditioner locally, can be applied to the cloud platform in the Internet field, or the cloud platform in other kinds of Internet field, or can be applied to the third party device. The third party device can include mobile phones, tablet computers, notebook computers, vehicle-mounted computers and other smart terminals of different types.
[0061] The control method of the present application will be described below only by taking the control method suitable for the air conditioner as an example. It should be understood that the control method of the embodiments of the present application can also be applied to the cloud platform and the third party device.
[0062] As shown in Figure 1 The control method of the air conditioner according to the first aspect of the present application comprises:
[0063] Step 100, receiving an instruction to control the air conditioner to enter a learning mode;
[0064] Step 200, reducing the outlet air temperature of the air conditioner on the basis of the current set outlet air temperature, and adjusting the air speed to a low air speed gear;
[0065] In step 300, language data input by the target user to the air conditioner is acquired, and target knowledge points are extracted and summarized based on the language data.
[0066] In step 400, the air conditioner is controlled to output the target knowledge points in at least one of a voice output, a text output, or an image output in the first set scene.
[0067] The specific working process of the control method of the air conditioner according to the embodiment of the present application is as follows: first, when the controller receives an instruction to control the air conditioner to enter a learning mode, the controller controls the air conditioner to enter the learning mode, and then the controller controls the air conditioner in two aspects as described below when the air conditioner enters the learning mode.
[0068] On the one hand, in the learning mode, if the air conditioner is simultaneously performing temperature adjustment and humidity adjustment such as refrigeration, heating, or dehumidification, the controller adjusts the working parameters of the air conditioner in the refrigeration process, the heating process, and the dehumidification process, so as to create an indoor environment that is low in temperature and wind speed and conducive to thinking and learning, wherein the working parameters include but are not limited to the air outlet temperature of the air conditioner, the air outlet wind speed of the air conditioner, the power and frequency of the air conditioner, and the like.
[0069] For example, in step 200, the controller lowers the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature and adjusts the air speed to a low air speed gear, so as to create a low-temperature and low-wind environment, avoid the target user from being in a bad mood due to high temperature or high wind speed, and help the user to be in a calm thinking state for learning. The above-mentioned "lowering the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature" means that the actual air outlet temperature of the air conditioner is lowered to a temperature value lower than the set air outlet temperature. Specifically, when the set air outlet temperature of the air conditioner is 25℃, the actual air outlet temperature is adjusted to about 20℃ to 23℃.
[0070] On the other hand, in the learning mode, the controller also receives language data input by the target user to the air conditioner, and extracts and summarizes target knowledge points required by the target user according to the language data. The controller stores the target knowledge points, and after detecting that the current environment is in a preset first set scene, controls the air conditioner to output all or part of the content of the target knowledge points, so as to assist the target user in learning and consolidate the target knowledge points, thereby improving the learning efficiency of the target user and creating a strong learning atmosphere for the target user. The output mode of the air conditioner can be at least one of a voice output, a text output, or an image output.
[0071] It should be noted that the conventional student air conditioner in the related art cannot achieve the functions of knowledge point penetration, strengthening and consolidation, and only has simple voice interaction to realize the solution to the student's question, so it cannot create a good learning environment and a strong learning atmosphere for students.
[0072] And through the analysis of the specific workflow of the control method of the air conditioner in the above, it can be known that the control method of the air conditioner proposed in the application creates a good learning environment and a strong learning atmosphere for students through parameter adjustment and regular knowledge point output control steps, thereby solving the technical defects in the related art.
[0073] In summary, according to the control method of the air conditioner according to the embodiments of the application, after the air conditioner enters the learning mode, the air conditioner is controlled and adjusted in two aspects, on the one hand, the controller adjusts the working parameters of the air conditioner in the refrigeration process, the heating process and the dehumidification process, so as to create a low-temperature and low-wind learning environment that is conducive to thinking and learning, thereby facilitating the target user to enter the best learning state in physiology; on the other hand, the controller extracts and summarizes the target knowledge points required by the target user, and outputs the above target knowledge points to the target user in a specific scene environment, thereby assisting the target user in learning and consolidating the target knowledge points, realizing the functions of knowledge point penetration, strengthening and consolidation, and thereby improving the learning efficiency of the target user and creating a strong learning atmosphere for the target user.
[0074] According to some embodiments of the application, the condition for the air conditioner to enter the learning mode is that the controller receives an instruction to control the air conditioner to enter the learning mode, wherein the instruction can be an instruction issued to the air conditioner by the user through the operation of a related remote control device, for example, the user can use the air conditioner APP on a smart device with a display screen such as a mobile phone or a tablet to issue an instruction to the air conditioner to enter the learning mode, or the user can press a specific button on the air conditioner remote control to issue an instruction to the air conditioner to enter the learning mode, or the user can directly act on the control panel carried by the air conditioner itself to issue a related instruction to the air conditioner.
[0075] In addition, the instruction for controlling the air conditioner to enter the learning mode can also be automatically issued to the controller by the system after a set condition is met. For example, the system detects the environmental parameters of the indoor environment through a sensor, and when the temperature, humidity, or air quality of the indoor environment reaches a preset value, the system issues an instruction to the controller to control the air conditioner to enter the learning mode. Specifically, when the air quality index of the indoor environment is higher than a set index, the system issues an instruction to the controller to control the air conditioner to enter the learning mode. For another example, the system obtains the state of the target user through a sensor, and when the physiological state of the target user, such as the voice, facial expression, or body movement, meets a preset condition, the system issues an instruction to the controller to control the air conditioner to enter the learning mode. Specifically, when the system detects that the target user is reciting knowledge points, the system issues an instruction to the controller to control the air conditioner to automatically enter the learning mode.
[0076] Of course, the above embodiments are only some of the many embodiments of the present application, and do not constitute a specific limitation on the steps 100 of the control method of the present application.
[0077] According to the control method of the air conditioner, step 200 is mainly to adjust the parameters of the air conditioner in the process of temperature adjustment and humidity adjustment, such as cooling, heating, or dehumidification. After the air conditioner enters the learning mode, in order to create a learning environment suitable for the target user, the controller adjusts the outlet air temperature and outlet air speed of the air conditioner to make the indoor environment reach a low-temperature and low-wind environment conducive to thinking.
[0078] In one specific embodiment, the step of adjusting the outlet air temperature of the air conditioner downward on the basis of the current set outlet air temperature specifically includes:
[0079] The current operating state of the air conditioner is obtained, and a set change temperature is determined according to the operating state and the current set outlet air temperature. The operating state includes a cooling state, a heating state, and a dehumidification state.
[0080] The air conditioner is controlled to reduce the set change temperature on the basis of the current set outlet air temperature to perform outlet air.
[0081] It can be understood that, since the working requirements of the air conditioner are different in different operating states, and the temperature change and the wind speed change output by the air conditioner to the indoor environment are different in different operating states, when the air conditioner enters the learning mode, in order to ensure that the air conditioner can create a suitable learning environment in each operating state, the controller will first determine the operating state of the air conditioner, and then further determine a preset value of the set change temperature according to the operating state of the air conditioner and the current set outlet air temperature, so that the actual outlet air temperature of the air conditioner is lower than the current set outlet air temperature, and the difference is the set change temperature.
[0082] In this way, the actual air outlet temperature of the air conditioner in different operating states is determined based on the current operating state and the current set temperature of the air conditioner, so that the air conditioner creates a low-temperature and low-wind learning environment while ensuring the comfort of the indoor temperature and avoiding excessive changes in the indoor temperature that affect the experience of the target user.
[0083] For example, when the air conditioner is in a cooling state, if the current set temperature is 20℃, the human body will be cold and susceptible to wind and cold due to the low indoor temperature. Therefore, in order to ensure the health and experience of the human body, the set change temperature can be set to a small value. Specifically, the set change temperature can be between 1℃ and 3℃, that is, the actual air outlet temperature of the air conditioner is between 17℃ and 19℃. In this way, a low-temperature learning environment is created, and the health of the human body and the user experience are also avoided.
[0084] For example, when the air conditioner is in a heating state, if the current set temperature is 28℃, the air conditioner outputs sufficient heat in the heating state and the current set temperature is high. Therefore, without affecting the user experience, the set change temperature can be set to a larger value at this time. Specifically, the set change temperature can be between 2℃ and 4℃, that is, the actual air outlet temperature of the air conditioner is between 24℃ and 26℃, so that the heating temperature is appropriately reduced to create a learning environment conducive to thinking and learning.
[0085] In an embodiment of the present application, after the step of receiving the instruction to control the air conditioner to enter the learning mode, the control method of the air conditioner further comprises:
[0086] obtaining the current operating state of the air conditioner, and adjusting the air deflector of the air conditioner according to the operating state to make the air flow avoid the target user.
[0087] Further, the step of adjusting the air deflector of the air conditioner according to the operating state to make the air flow avoid the target user specifically comprises:
[0088] in the cooling state or the dehumidifying state, controlling the air deflector of the air conditioner to swing upward;
[0089] in the heating state, controlling the air deflector of the air conditioner to swing downward.
[0090] It can be understood that the purpose of the above steps of controlling the air deflector to swing upward and downward is to avoid the air conditioner blowing directly toward the target user. However, due to the different physical properties of the air flow blown by the air conditioner in different operating states, the method will control the air deflector to swing in different directions to avoid the target user while ensuring the specific implementation effect of temperature regulation or humidity regulation.
[0091] Specifically, when the air conditioner is in a cooling state or a dehumidifying state, since the air flow blown by the air conditioner is a cold air flow, the controller controls the swing of the air deflector upwards, so that the cold air flow is blown upwards, so that the cold air flow is deposited downwards and uniformly transmits cold energy to each area in the room while the air outlet flow of the air conditioner avoids the target user, thereby ensuring the cooling effect or dehumidifying effect of the air conditioner.
[0092] When the air conditioner is in a heating state, since the air flow blown by the air conditioner is a hot air flow, the controller controls the swing of the air deflector downwards, so that the hot air flow is blown towards the ground, so that the hot air flow is scattered upwards and uniformly transmits heat to each area in the room while the air outlet flow of the air conditioner avoids the target user, thereby ensuring the heating effect of the air conditioner.
[0093] According to some embodiments of the present application, after the step of receiving the instruction of controlling the air conditioner to enter the learning mode, the control method of the air conditioner further comprises: controlling the buzzer of the air conditioner to be turned off.
[0094] In this way, in the learning mode, the buzzer of the air conditioner is turned off, so that all air conditioner instruction operations are in a mute state, thereby reducing noise and providing a quieter learning environment for the target user. In addition, the above operation of adjusting the air speed of the air conditioner to a low air speed gear can also reduce the noise of the air conditioner, thereby further ensuring the quietness of the learning environment.
[0095] The control method of the air conditioner according to the embodiments of the present application will be described in detail below, wherein the purpose of step 300 is mainly to extract and summarize the target knowledge points required by the target user, and the purpose of step 400 is mainly to periodically output the target knowledge points in a specific scenario. It can be understood that the above steps 300 and 400 can realize the functions of penetration, reinforcement and consolidation of knowledge points, thereby improving the learning efficiency of the target user and creating a strong learning atmosphere for the target user.
[0096] In some embodiments of the present application, the language data input by the target user into the air conditioner is obtained, and the target knowledge points are extracted and summarized based on the language data, specifically comprising:
[0097] Receiving at least one of the voice information, image information and text information output by the target user and converting it into language data;
[0098] Based on the language data, the corresponding knowledge points in the cloud database are extracted and summarized to obtain the target knowledge points.
[0099] In the embodiment, in order to obtain the specific content of the voice data, the controller can record the voice message of the knowledge points recited by the user or the questions asked by the user by using the recording module, and convert the voice message into language data; or the controller can also capture the image information of the homework image, note image or textbook image provided by the user by using the camera module, and extract the text in the image information to convert into language data; or the controller can also obtain the text information input by the user from the related APP of the smart device such as a mobile phone, and convert the text information into language data.
[0100] Of course, the controller can also receive the voice information, image information and text information in other ways, and the controller can also receive at least two of the voice information, image information and text information at the same time, which are not specially limited in the application.
[0101] After the controller obtains the language data, the controller will extract the knowledge points corresponding to the language data in the cloud database according to the language data, and summarize the above knowledge points to obtain the target knowledge points required by the target user, and then the controller will upload the target knowledge points and store them through the storage unit of the air conditioner.
[0102] In one specific embodiment, the target knowledge points include learned knowledge points; the step of extracting the target knowledge points corresponding to the language data in the cloud database based on the language data specifically includes:
[0103] determining the matching degree of the language data and the data information in the cloud database;
[0104] extracting the data information with a matching degree higher than a set matching degree in the cloud database as the learned knowledge points.
[0105] It can be understood that the learned knowledge points are the knowledge points that have been learned by the target user.
[0106] In the embodiment, during the process of receiving the information output by the user and the process of converting the information into language data, on the one hand, the information output by the user may have some errors due to the insufficient learning level of the user himself, and on the other hand, the controller may also cause inaccurate extraction of language data and data loss due to the limitation of its own computing power during the process of automatically extracting language data, therefore, in order to ensure the accuracy and correctness of the learned knowledge points, the controller will compare the language data with each data information in the cloud database, when the matching degree of the two is high (i.e. the matching degree is higher than the set matching degree), the data information is extracted as the learned knowledge points.
[0107] In this way, based on the original language data, the data information with a high matching degree in the cloud database is found as the learned knowledge points, which can ensure the accuracy of the extraction of the learned knowledge points and the correctness of the content.
[0108] Further, the target knowledge point further comprises an extended knowledge point; the step of extracting the corresponding target knowledge point based on the language data in the cloud database comprises:
[0109] extracting keywords from the language data and analyzing the occurrence times of the keywords;
[0110] determining that the keyword with the occurrence time greater than the preset number of times is a high-frequency word;
[0111] extracting the data information corresponding to the high-frequency word in the cloud database and removing the learned knowledge point to obtain the extended knowledge point.
[0112] It can be understood that the extended knowledge point refers to the knowledge point that the user has not mastered or learned.
[0113] In the embodiment, the high-frequency word appearing in the language data is extracted, and the data information corresponding to the high-frequency word is extracted in the cloud database. After removing the repeated content in the data information and the learned knowledge point, the extended knowledge point is finally obtained, thereby expanding the learning range of the target user. For example, if the learned knowledge point is ancient poetry, the extended knowledge point can be the historical anecdotes behind the ancient poetry.
[0114] Further, the controller generates a knowledge graph according to the learned knowledge point and the extended knowledge point. It can be understood that in the actual application process, the knowledge graph is also called knowledge domain visualization or knowledge field mapping map in the library information field, which is a series of various different figures showing the development process and structural relationship of knowledge. The knowledge graph uses visualization technology to describe knowledge resources and their carriers, and mines, analyzes, constructs, draws, and displays knowledge and their related connections.
[0115] In this way, by creating a knowledge graph for the target user, useful information can be obtained from the entire Internet to enable the user to obtain more relevant public resources, find more accurate information for the user, make more comprehensive summaries, and provide more in-depth related information.
[0116] Taking the target knowledge point comprising the learned knowledge point and the extended knowledge point as an example, the controller records the voice information of the target user during recitation through the recording module, and obtains the text information and image information input by the user through the mobile phone APP. Then, the controller extracts the corresponding learned knowledge point and extended knowledge point in the cloud database through the above voice information, text information, and image information. For example, if the learned knowledge point is a mathematical formula, the extended knowledge can be other formulas associated with the mathematical formula; or if the learned knowledge point is a textbook article, the extended knowledge can be other works of the article author.
[0117] According to some embodiments of the present application, after the step of extracting the corresponding target knowledge point of the language data in the cloud database based on the language data, the control method further comprises:
[0118] Comparing the language data with the learned knowledge point, recording the difference between the language data and the learned knowledge point as the easy-to-mistake knowledge point of the target user;
[0119] Storing the easy-to-mistake knowledge point, and outputting the easy-to-mistake knowledge point to the target user in the second set scene through at least one of the voice output, the text output or the image output.
[0120] In the present embodiment, the language data recorded by the controller represents the knowledge point mastered by the user, while the learned knowledge point extracted by the controller based on the cloud database represents the correct knowledge point. By comparing the above two, the difference between the two can be determined and used as the easy-to-mistake knowledge point of the target user, that is, the controller establishes a mistake bank for the target user. In this way, the air conditioner can play the above easy-to-mistake knowledge point in the set scene to help the user focus on the easy-to-mistake part of the knowledge point and avoid making the same mistake next time.
[0121] Among them, the above-mentioned second set scene can be the scene before the target user goes to sleep, after getting up, when eating, when taking a break during class, etc. The present application does not make special limitation here, and the user can specifically set the type of the second set scene according to his own needs.
[0122] Further, after the step of extracting the corresponding target knowledge point of the language data in the cloud database based on the language data, the control method further comprises:
[0123] Obtaining the identity information of the target user;
[0124] According to the identity information, the easy-to-mistake knowledge point and the learned knowledge point, determining and storing the learning situation of the target user;
[0125] Outputting the learning situation to the target user and / or the associated user designated by the target user through at least one of the voice output, the text output or the image output.
[0126] In the embodiment, the controller can obtain the learning condition of the target user (i.e., the degree of mastery of the target user over the learned knowledge points) based on the identity information, the easy-to-mistake knowledge points and the learned knowledge points. At this time, the target user can know the degree of mastery of the target user over the knowledge points by outputting the learning condition. In addition, the target user can also specify an associated user so that the associated user can also share the above information. For example, the associated user can be set as a parent of the student. After the controller analyzes the learning condition of the student, the learning condition is fed back to the mobile phone APP of the parent, thereby reminding the parent to supervise the learning of the student. The learning condition can be fed back through the learning content of the day, the recitation situation, the amount of knowledge and the like.
[0127] For example, if the identity information of the target user is a junior high school student, the controller will find the required amount of knowledge of the junior high school student of the current age group of the target user, compare the required amount of knowledge with the learned knowledge points, and compare the easy-to-mistake knowledge points with the learned knowledge points, so as to determine whether the target user has the amount of knowledge of the same age group in the current age group, and simultaneously determine the degree of mastery of the target user over the learned knowledge points, and then obtain the learning condition of the target user.
[0128] According to some embodiments of the present application, after the step of receiving the instruction of controlling the air conditioner to enter the learning mode, the control method further comprises:
[0129] obtaining state information of the target user, and analyzing the learning state of the target user according to the real-time state information;
[0130] controlling the air conditioner to output a voice prompt and / or play music of a set type according to the learning state;
[0131] The state information includes at least one of facial expression information, body movement information and voice information, and the learning state includes an emotional state and a physical state.
[0132] In this way, the method can determine the emotional state and the physical state of the student through the camera, the infrared probe and the voice tone, so as to timely remind the student and help the student to achieve work and rest alternately. For example, when the learning state of the student is in a tired period, the air conditioner will play refreshing and soothing music in time to let the student relax. Or, when the learning time of the student is too long, the air conditioner will remind the student to exercise and play corresponding exercise melodies in time to help the student quickly enter the state of physical exercise.
[0133] According to some embodiments of the present application, the step 400 of controlling the air conditioner to output the target knowledge points in the first set scene through at least one of voice output, text output or image output specifically comprises:
[0134] determining that the target user is in a sleep preparation state or a wake-up state, and outputting the target knowledge points to the target user in a voice output mode in a first set time period.
[0135] Further, if the target knowledge points include both the learned knowledge points and the extended knowledge points, the step 400 of outputting the target knowledge points in the first set scene by the air conditioner through at least one of the voice output, the text output or the image output specifically includes:
[0136] playing the learned knowledge points in a voice mode before the target user goes to sleep, to help the user review and consolidate the learned knowledge points of the day;
[0137] playing the extended knowledge points in a voice mode after the target user wakes up, to help the user preview new knowledge points in advance, expand the user's learning range and stimulate the user's interest in learning.
[0138] Of course, the first set scene described above can also be other scenes, and the present application does not make special limitations here. For example, the first set scene can be a scene before the target user goes to sleep, after the target user wakes up, when the target user eats, when the target user takes a break, etc. The user can specifically set the type of the first set scene according to his own needs.
[0139] For example, the air conditioner plays soothing music before the student goes to sleep, and plays the voice of the easy-to-mistake knowledge points of the day, to help the user consolidate the knowledge. Or, the air conditioner plays English ear training before the student goes to sleep, and gradually reduces the volume until the student falls asleep.
[0140] In addition, the air conditioner can also play the easy-to-mistake knowledge points of the day or English according to the set alarm clock in the morning, to wake up the student.
[0141] The control device of the air conditioner provided by the present application is described below, and the control device of the air conditioner described below can be correspondingly referred to the control method of the air conditioner described above.
[0142] As shown in FIG. 1, the control device of the air conditioner according to the second aspect of the present application includes: Figure 2 The first receiving module 110 is configured to receive an instruction to control the air conditioner to enter a learning mode.
[0143] The first control module 120 is configured to lower the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature, and adjust the air speed to a low air speed gear.
[0144] The second control module 130 is configured to obtain language data input by the target user to the air conditioner, and extract and summarize the target knowledge points based on the language data.
[0145]
[0146] The third control module 140 is configured to control the air conditioner to output the target knowledge point in the first setting scene through at least one of voice output, text output or image output.
[0147] According to the air conditioner of the third aspect of the embodiments of the present application, the controller for executing the control method of the air conditioner or the control device of the air conditioner is further included.
[0148] The control device of the air conditioner and the air conditioner according to the embodiments of the present application have similar effects to those of the control method of the air conditioner described in the first aspect of the present application, and thus are not described herein.
[0149] Figure 3 An example of a schematic diagram of a physical structure of an electronic device is shown in Figure 3 As shown, the electronic device can include a processor 810, a communications interface 820, a memory 830 and a communications bus 840, wherein the processor 810, the communications interface 820 and the memory 830 can communicate with each other through the communications bus 840. The processor 810 can invoke the logical instructions in the memory 830 to execute the control method of the air conditioner described above.
[0150] In addition, the logical instructions in the memory 830 described above can be implemented in the form of a software functional unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or part of the technical solutions can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.
[0151] On the other hand, the present application also provides a computer program product, which includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, so that the computer can execute the control method of the air conditioner described above.
[0152] In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the control method of the air conditioner described above.
[0153] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.
[0154] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part of the prior art that makes a contribution, can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0155] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A control method of an air conditioner, characterized by, The method comprises the following steps: receiving an instruction for controlling the air conditioner to enter a learning mode; lowering the air outlet temperature of the air conditioner based on the current set air outlet temperature, and adjusting the air speed to a low air speed gear; obtaining language data input by a target user to the air conditioner, and extracting and summarizing a target knowledge point based on the language data; controlling the air conditioner to output the target knowledge point in a first set scene through at least one of voice output, text output or image output, specifically comprising: receiving at least one of voice information, image information and text information output by the target user and converting the information into language data; extracting a corresponding knowledge point from the cloud database based on the language data and summarizing the knowledge point to obtain the target knowledge point; the target knowledge point comprises a learned knowledge point; the step of extracting a corresponding target knowledge point from the cloud database based on the language data specifically comprises: judging the matching degree of the language data and data information in the cloud database; extracting data information with a matching degree higher than a set matching degree from the cloud database as the learned knowledge point; the target knowledge point further comprises an extended knowledge point; the step of extracting a corresponding target knowledge point from the cloud database based on the language data specifically comprises: extracting keywords from the language data and analyzing the occurrence times of the keywords; determining the keywords with occurrence times greater than a preset number as high-frequency keywords; extracting data information corresponding to the high-frequency keywords from the cloud database and removing the learned knowledge point to obtain the extended knowledge point, which refers to a knowledge point not mastered or learned by the user; generating a knowledge graph according to the learned knowledge point and the extended knowledge point, obtaining relevant public resources from the entire Internet, so as to make a comprehensive summary for the user and provide depth-related information; after the step of extracting a corresponding target knowledge point from the cloud database based on the language data, the method further comprises: comparing the language data with the learned knowledge point, recording the difference between the language data and the learned knowledge point as an easy-to-mistake knowledge point of the target user; storing the easy-to-mistake knowledge point and outputting the easy-to-mistake knowledge point to the target user in a second set scene through at least one of voice output, text output or image output.
2. The control method of the air conditioner according to claim 1, characterized by, after the step of extracting a corresponding target knowledge point from the cloud database based on the language data, the method further comprises: obtaining identity information of the target user; determining and storing a learning condition of the target user according to the identity information, the easy-to-mistake knowledge point and the learned knowledge point; outputting the learning condition to the target user and / or an associated user designated by the target user through at least one of voice output, text output or image output.
3. The control method of the air conditioner according to claim 1, characterized by, after the step of receiving the instruction for controlling the air conditioner to enter the learning mode, the method further comprises: obtaining state information of the target user and analyzing a learning state of the target user according to the real-time state information; controlling the air conditioner to issue a voice reminder and / or playing music of a set type according to the learning state. The state information includes at least one of facial expression information, body movement information and sound information, and the learning state includes an emotional state and a physical state.
4. The control method of the air conditioner according to claim 1, characterized by, The step of controlling the air conditioner to output the target knowledge point in the first set scene through at least one of voice output, text output or image output specifically includes: Determine that the target user is in a sleep or wake-up state, and output the target knowledge point to the target user through voice output in a first set time.
5. The control method of the air conditioner according to any one of claims 1 to 4, characterized by, The step of adjusting the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature specifically includes: Obtain the current running state of the air conditioner, and determine a set change temperature according to the running state and the current set air outlet temperature, wherein the running state includes a refrigeration state, a heating state and a dehumidification state; Control the air conditioner to reduce the set change temperature on the basis of the current set air outlet temperature to perform air outlet.
6. The control method of the air conditioner according to any one of claims 1 to 4, characterized by, After the step of receiving the instruction of controlling the air conditioner to enter the learning mode, further comprising: Obtain the current running state of the air conditioner, and adjust the air deflector of the air conditioner according to the running state to make the air flow avoid the target user; The step of adjusting the air deflector of the air conditioner according to the running state to make the air flow avoid the target user specifically includes: In the refrigeration state or the dehumidification state, control the air deflector of the air conditioner to swing upward; In the heating state, control the air deflector of the air conditioner to swing downward.
7. The control method of the air conditioner according to any one of claims 1 to 4, characterized by, After the step of receiving the instruction of controlling the air conditioner to enter the learning mode, further comprising: Control the buzzer of the air conditioner to be closed.
8. A control device of an air conditioner, characterized by comprising: Comprising: The first receiving module is used for receiving the instruction of controlling the air conditioner to enter the learning mode; The first control module is used for adjusting the air outlet temperature of the air conditioner on the basis of the current set air outlet temperature, and adjusting the air speed to a low air speed gear; The second control module is used for obtaining the language data input by the target user to the air conditioner, and extracting and summarizing the target knowledge point based on the language data; The third control module is used for controlling the air conditioner to output the target knowledge point in the first set scene through at least one of voice output, text output or image output, specifically including: Receive at least one of the voice information, image information and text information output by the target user and convert it into language data; Based on the language data, extract the corresponding knowledge point in the cloud database and summarize it to obtain the target knowledge point; The target knowledge point includes a learned knowledge point; The step of extracting the corresponding target knowledge point in the cloud database based on the language data specifically includes: Determine the matching degree of the language data and the data information in the cloud database; Extract the data information with a matching degree higher than a set matching degree in the cloud database as the learned knowledge point; The target knowledge point also includes an extended knowledge point; the step of extracting the corresponding target knowledge point in the cloud database based on the language data specifically includes: Extract the keywords from the language data and analyze the occurrence times of the keywords; determining the keyword with the occurrence number greater than the preset number as a high-frequency word; extracting data information corresponding to the high-frequency word from the cloud database and removing the learned knowledge points to obtain the extended knowledge points according to the high-frequency word, the extended knowledge points referring to knowledge points not mastered or learned by the user; generating a knowledge graph according to the learned knowledge points and the extended knowledge points, obtaining relevant public resources from the entire Internet to make a comprehensive summary for the user and provide depth-related information; after the step of extracting the corresponding target knowledge points from the cloud database based on the language data, the method further comprises: comparing the language data with the learned knowledge points, recording the difference between the language data and the learned knowledge points as an easy-to-mistake knowledge point of the target user; storing the easy-to-mistake knowledge point and outputting the easy-to-mistake knowledge point to the target user in a second set scene through at least one of voice output, text output or image output.
9. An air conditioner characterized by comprising: comprise: a controller configured to execute the control method of the air conditioner according to any one of claims 1 to 7 or the control device of the air conditioner according to claim 8.
Citation Information
Patent Citations
Sleep learning application method, device and system, and computer storage medium
CN108596805A
Control method and device of air conditioner and air conditioner
CN113757967A
Method and device for controlling air conditioner, electronic equipment and storage medium
CN114838478A
Air conditioner assisted learning method and device, air conditioner and storage medium
CN115264860A