CN110834512A - Air conditioner control method and device and vehicle - Google Patents
Air conditioner control method and device and vehicle Download PDFInfo
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- CN110834512A CN110834512A CN201810931139.6A CN201810931139A CN110834512A CN 110834512 A CN110834512 A CN 110834512A CN 201810931139 A CN201810931139 A CN 201810931139A CN 110834512 A CN110834512 A CN 110834512A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
- B60H1/00—Heating, cooling or ventilating [HVAC] devices
- B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
Abstract
The disclosure relates to an air conditioner control method, an air conditioner control device and a vehicle, and relates to the technical field of control, wherein the method comprises the following steps: the method comprises the steps of obtaining first target information sent by a target object in the current environment, identifying the first target information to obtain first state information of the target object, determining a first control strategy corresponding to the first state information according to a control strategy database, wherein the control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to the state information obtained for multiple times and an adjusting operation record of the air conditioner when the state information is obtained every time, the first control strategy is any one of the plurality of control strategies, the control strategy database is a self-learning database, and the temperature of the air conditioner is adjusted according to the first control strategy. The user state of the target object can be actively identified, and the temperature of the air conditioner is automatically adjusted, so that the air conditioner is more automatically and intelligently used.
Description
Technical Field
The disclosure relates to the technical field of control, in particular to an air conditioner control method, an air conditioner control device and a vehicle.
Background
In the related art, the temperature of the air conditioner is always regulated according to the requirement actively proposed by a user in the process of cooling or heating of the air conditioner, the user is required to manually regulate the air conditioner through a control panel or a remote controller, the process is troublesome, the regulation effect is relatively delayed, particularly, when the air conditioner on a vehicle is used, a driver needs to take the hand off a steering wheel if the driver needs to regulate the air conditioner in the process of controlling the steering wheel to drive, and when an emergency occurs, the reaction time of the driver can be prolonged, so that traffic accidents are caused.
Disclosure of Invention
The invention aims to provide an air conditioner control method, an air conditioner control device and a vehicle, which are used for solving the problem that the air conditioner temperature is troublesome to adjust in the prior art.
In order to achieve the above object, according to a first aspect of embodiments of the present disclosure, there is provided an air conditioner control method including:
acquiring first target information sent by a target object in the current environment;
identifying the first target information to acquire first state information of the target object;
determining a first control strategy corresponding to the first state information according to a control strategy database; the control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to state information acquired for many times and adjustment operation records of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database;
and adjusting the temperature of the air conditioner according to the first control strategy.
Optionally, when the first target information is voice information, the identifying the first target information to obtain the first state information of the target object includes:
recognizing the voice information by using a preset voice recognition algorithm so as to determine the semantics of the user in the voice information;
and taking the semantics of the user as the first state information.
Optionally, when the first target information is image information, the identifying the first target information to obtain first state information of the target object includes:
recognizing the image information by using a preset image recognition algorithm to determine the physical sign of the user and/or the action of the user in the image information;
and taking the physical signs of the user and/or the actions of the user as the first state information.
Optionally, the control policy database includes a first corresponding relationship between a plurality of state information and a plurality of user states, and a second corresponding relationship between the plurality of user states and the plurality of control policies; the determining a first control policy corresponding to the first state information according to the control policy database includes:
determining a first user state matched with the first state information according to the first corresponding relation;
and determining a control strategy corresponding to the first user state as the first control strategy according to the second corresponding relation.
Optionally, the method further includes:
when second state information acquired from second target information sent by the target object indicates that the temperature of the current environment does not meet the requirement of the target object after the temperature of the air conditioner is adjusted according to the first control strategy, updating the first user state and/or the first control strategy matched with the first state information according to the second state information; alternatively, the first and second electrodes may be,
after the temperature of the air conditioner is adjusted according to the first control strategy, when the air conditioner is detected to be manually adjusted, the first user state and/or the first control strategy matched with the first state information are/is updated according to the operation information of the air conditioner which is manually adjusted.
According to a second aspect of the embodiments of the present disclosure, there is provided an air conditioning control apparatus, the apparatus including:
the acquisition module is used for acquiring first target information sent by a target object in the current environment;
the identification module is used for identifying the first target information to acquire first state information of the target object;
the determining module is used for determining a first control strategy corresponding to the first state information according to a control strategy database; the control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to state information acquired for many times and adjustment operation records of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database;
and the adjusting module is used for adjusting the temperature of the air conditioner according to the first control strategy.
Optionally, the identification module includes:
the first recognition submodule is used for recognizing the voice information by using a preset voice recognition algorithm when the first target information is the voice information so as to determine the semantics of a user in the voice information;
and the processing submodule is used for taking the semantics of the user as the first state information.
Optionally, the identification module includes:
the second identification submodule is used for identifying the image information by using a preset image identification algorithm when the first target information is the image information so as to determine the physical sign of the user and/or the action of the user in the image information;
and the processing submodule is used for taking the physical sign of the user and/or the action of the user as the first state information.
Optionally, the control policy database includes a first corresponding relationship between a plurality of state information and a plurality of user states, and a second corresponding relationship between the plurality of user states and the plurality of control policies; the determining module comprises:
the first determining submodule is used for determining a first user state matched with the first state information according to the first corresponding relation;
and the second determining submodule is used for determining the control strategy corresponding to the first user state as the first control strategy according to the second corresponding relation.
Optionally, the apparatus further comprises:
the updating module is used for updating the first user state and/or the first control strategy matched with the first state information according to the second state information when the second state information acquired from the second target information sent by the target object indicates that the temperature of the current environment does not meet the requirement of the target object after the temperature of the air conditioner is adjusted according to the first control strategy; alternatively, the first and second electrodes may be,
after the temperature of the air conditioner is adjusted according to the first control strategy, when the air conditioner is detected to be manually adjusted, the first user state and/or the first control strategy matched with the first state information are/is updated according to the operation information of the air conditioner which is manually adjusted.
According to a third aspect of the embodiments of the present disclosure, there is provided a vehicle on which the air conditioning control device provided by the second aspect of the present disclosure is provided.
Through the technical scheme, the method and the device firstly collect the first target information sent by the target object in the current environment. And then identifying the first target information to obtain first state information of a target object reflected in the first target information, then determining a first control strategy matched with the first state information in a control strategy database, and finally adjusting the temperature of the air conditioner according to the first control strategy, wherein the control strategy database is a self-learning database and comprises a plurality of control strategies determined according to the state information obtained for many times and corresponding adjusting operation records of the air conditioner. The method and the device can actively identify the user state of the target object, automatically adjust the temperature of the air conditioner and enable the air conditioner to be more automatic and intelligent in use.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of controlling an air conditioner according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating another method of controlling an air conditioner according to an exemplary embodiment;
FIG. 3 is a flow chart illustrating another method of controlling an air conditioner according to an exemplary embodiment;
FIG. 4 is a flow chart illustrating another method of controlling an air conditioner according to an exemplary embodiment;
FIG. 5 is a flow chart illustrating another method of controlling an air conditioner according to an exemplary embodiment;
FIG. 6 is a block diagram illustrating an air conditioning control unit according to an exemplary embodiment;
fig. 7 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment;
fig. 8 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment;
fig. 9 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment;
fig. 10 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating an air conditioner control method according to an exemplary embodiment, as shown in fig. 1, the method including:
For example, the target object in the current environment may be a user currently using an air conditioner, and the number of users may be one or more, any one of which may issue the first target information. The first target information may be obtained by an information collecting device, the information collecting device may include at least one of a voice collecting device (e.g., a microphone) for collecting voice of the user and an image collecting device (e.g., a camera) for collecting user actions, gestures, skin states, and the like, and correspondingly, the first target information may include: voice information and image information.
It should be noted that the information acquisition device for acquiring the first target information may be disposed on the air conditioner, or may be an independent electronic device capable of communicating with the air conditioner, and after the information acquisition device acquires the first target information, the first target information may be sent to the air conditioner through internet, WLAN (english: Wireless Local Area Networks, chinese: Wireless Local Area Networks), for example, Wi-Fi (english: Wireless Fidelity, chinese: Wireless Fidelity), Bluetooth (english: Bluetooth), or BLE (english: Bluetooth low Energy, chinese: Bluetooth low power consumption).
For example, different algorithms may be used to identify first state information reflected in the first target information according to different kinds of the first target information, where the first state information is sign information representing a first target object (which may include states of sneezing, thermal feeling, cooling, sweating, etc.), for example, when the first target information is a piece of speech uttered by a current user, it may be determined whether the current user evaluates temperature by identifying the semantic meaning of the piece of speech, and if the piece of speech is identified, the first state information includes: the semantics of "good hot", then "good hot" may be taken as the first state information.
And 103, determining a first control strategy corresponding to the first state information according to the control strategy database. The control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to the state information acquired for a plurality of times and the adjusting operation record of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database.
And 104, adjusting the temperature of the air conditioner according to the first control strategy.
For example, a control policy database may be established by collecting a large number of samples in advance or according to specific requirements of a user, where the control policy database includes a corresponding relationship between state information and control policies, for example, what state information may be included in each record in the control policy database corresponds to which control policy, and the control policy database may be a pre-established database or a self-learning database with self-learning capability, where the self-learning database may update the database in real time according to the state information collected in daily use and air conditioner operation information, that is, the self-learning database reflects the corresponding relationship between the state information and the control policies in a period of time before the current time, and may update according to different time periods, different users, and different scenarios. After the first state information is determined, a first control strategy matched with the first state information is searched in a control strategy database, and the temperature of the air conditioner is adjusted according to the first control strategy. The state information may be, for example, collected information of a user such as voice, gesture, motion, and skin state, and may determine two control strategies for the air conditioner temperature (reducing the air conditioner temperature and increasing the air conditioner temperature).
For example, the corresponding relationship between the state information and the control policy may be obtained by counting the state information obtained by a preset number of times closest to the current time and an adjustment operation record for the air conditioner when the state information is obtained each time, where the adjustment operation record for the air conditioner may include an automatic adjustment operation for the air conditioner or a manual adjustment operation for the air conditioner by a user. For example, the preset number of times may be 20 or 50, and each time one piece of status information is acquired, the corresponding adjustment operation of the air conditioner is recorded: and (4) adjusting up, adjusting down or keeping unchanged, thereby determining the control strategy corresponding to the current state information. Further, the corresponding control strategy can be adjusted according to the adjustment operation of the air conditioner in a plurality of levels, such as: the user manually increases the temperature of the air conditioner by 1 ℃, the corresponding body is slightly cold, the user manually increases the temperature of the air conditioner by 2 ℃, the corresponding body is relatively cold, the user manually increases the temperature of the air conditioner by 5 ℃, and the corresponding body is very cold, so that a corresponding control strategy can be adjusted. And finally, generating a self-learning database according to the control strategy corresponding to each state information.
For example, if the first status information identified in step 102 is "good hot", the first control strategy matching "good hot" (also may be "hot", or other voices, or "fan", "release button", "release tie") is determined to be to lower the air conditioning temperature, so that the air conditioning temperature can be adjusted to be lower to meet the user's requirement.
In summary, the present disclosure first collects first target information sent by a target object in a current environment. And then identifying the first target information to obtain first state information of a target object reflected in the first target information, then determining a first control strategy matched with the first state information in a control strategy database, and finally adjusting the temperature of the air conditioner according to the first control strategy, wherein the control strategy database is a self-learning database and comprises a plurality of control strategies determined according to the state information obtained for many times and corresponding adjusting operation records of the air conditioner. The method and the device can actively identify the user state of the target object, automatically adjust the temperature of the air conditioner and enable the air conditioner to be more automatic and intelligent in use.
Fig. 2 is a flowchart illustrating another air conditioner control method according to an exemplary embodiment, where, as shown in fig. 2, when the first target information is voice information, step 102 includes:
In step 1022, the semantics of the user are used as the first state information.
For example, when the first target information is voice information, the voice information is recognized through a preset voice recognition algorithm, so as to determine semantics included in the voice information. The voice recognition algorithm can adopt a mode matching method, a large amount of voice information is collected in advance for training to obtain a template base, then the voice information and the template base are used as input of the mode matching method, similarity comparison is carried out on the voice information and each template in the template base in sequence, and the template with the highest similarity is used as a recognition result to be output. For example, words such as "hot", "stuffy", and "cold" voice, such as "cold", "frozen", "cold", and sneezing voice, which indicate hot voice, are used as keywords, and voices uttered by a plurality of users and uttered by the keywords are collected in advance and trained to obtain a template library, and when voice information uttered by the user and having a first target information of "hot in car" is collected in step 101, the voice information is matched with the template library to determine that the semantic of the user is "hot" and determine that the first state information is "hot".
Fig. 3 is a flowchart illustrating another air conditioner control method according to an exemplary embodiment, where, as shown in fig. 3, when the first target information is image information, step 102 includes:
and 1023, identifying the image information by using a preset image identification algorithm to determine the physical sign of the user and/or the action of the user in the image information.
Step 1024, using the physical sign of the user and/or the action of the user as the first status information.
For example, when the first target information is image information, the image information is recognized by a preset image recognition algorithm, so as to determine a physical sign of the user, a motion of the user, and the like included in the image information. The image recognition algorithm can be a template matching algorithm, an SSD (Single Shell Multi Box Detector, Chinese) algorithm, a YOLO (Young Only Look one) algorithm, a Faster-RCNN (Rapid-Regions with conditional Neural networks) algorithm and the like, a large amount of image information including the physical signs and the actions of the user is collected in advance to be trained to obtain a template library, and then the image information and the template library are used as the input of the image recognition algorithm, so that whether the image information includes the physical signs and the actions of the user is recognized. For example, a large number of images representing cold may be acquired in advance: "chill and tremble", "skin has chicken skin pimples", "skin has fine hair standing up", etc., and represents a hot image: the image information is trained to obtain a template library, and when the image information collected in the step 101 includes the action of "tie releasing", the first state information is determined to be "tie releasing".
Fig. 4 is a flowchart illustrating another air conditioner control method according to an exemplary embodiment, where, as shown in fig. 4, the control policy database includes a first correspondence relationship between a plurality of status information and a plurality of user statuses, and a second correspondence relationship between the plurality of user statuses and a plurality of control policies. Step 103 comprises:
And 1032, determining a control strategy corresponding to the first user state as the first control strategy according to the second corresponding relation.
For example, the control policy database may include two types of correspondences: the multiple state information corresponds to the first corresponding relation of the multiple user states, and the multiple user states corresponds to the second corresponding relation of the multiple control strategies. The state information can be collected information of voice, gestures, actions, skin states and the like of the user, the user states can be divided into two categories according to the heat feeling or the cold feeling of the user, and correspondingly two control strategies of the air conditioner temperature (namely heat feeling, air conditioner temperature reduction, cold feeling, air conditioner temperature increase) can be determined according to the two categories of user states. After the first state information is determined in step 102, first, a first user state matching the first state information is searched in the control policy database according to the first corresponding relationship, and then a first control policy corresponding to the first user state is searched according to the second corresponding relationship.
For example, various user states can be classified into: speech, which represents heat, corresponds to: status information of "hot", "nice hot", "somewhat hot", "stuffy"; the voice indicating cold corresponds to the state information of "cold", "good cold", "frozen", "somewhat cold", and sneezing; the state information of the tie, the fan and the button is expressed correspondingly; the state information which represents cold action and corresponds to 'beating cold and quivering'; indicating the physical signs of heat, corresponding to the state information of 'skin sweating'; the cold signs are indicated, and the state information of "chicken skin pimple appears on the skin" and "sweaty hair of the skin is upright" is corresponded. For example, the first state information is 'somewhat hot', the first user state matched with 'good hot' is determined to be body sensible heat according to the first corresponding relation (voice indicating hot can be 'hot', 'good hot', 'muggy', 'somewhat hot', etc., and actions indicating hot can be 'fanning', 'releasing button', 'releasing tie', etc.), and the control strategy corresponding to the body sensible heat is determined to be reducing the air conditioner temperature according to the second corresponding relation, so that the air conditioner temperature can be reduced to meet the requirements of users.
Fig. 5 is a flowchart illustrating another air conditioner control method according to an exemplary embodiment, as shown in fig. 5, the method further includes:
and 105a, when second state information acquired from second target information sent by the target object indicates that the temperature of the current environment does not meet the requirement of the target object after the temperature of the air conditioner is adjusted according to the first control strategy, updating the first user state and/or the first control strategy matched with the first state information according to the second state information.
For example, the second target information may be voice information or image information, the second target information is recognized by using a preset recognition algorithm to obtain second state information, and the second state information can represent that the temperature of the current environment after the air conditioner temperature is adjusted by the first control strategy does not meet the requirement of the target object, for example, the user sends "not enough", "adjusted more", "too large", and the like voices which do not reflect sign information of the target object, but represent whether the degree of adjusting the air conditioner temperature according to the first control strategy is enough last time, and the user can also send "still hot", "still cold", "not warm", and "not cold" voices which represent that the air conditioner temperature adjusted according to the first control strategy cannot meet the requirement last time. At this time, the first user status and/or the first control policy matched with the first status information may be updated according to the second status information. Taking the first state information as sneezing sound, determining that the state of the first user is cool according to the corresponding relation, taking the first control strategy as an example of increasing the current temperature of the air conditioner by 2 ℃, after controlling the air conditioner to adjust the temperature according to the first control strategy, collecting whether the user sends out a voice of 'cold' or not, indicating that the current temperature is not hot enough, and updating the first state information to increase the current temperature of the air conditioner by 4 ℃ in a manner of matching with the first control strategy.
Or, in step 105b, after the temperature of the air conditioner is adjusted according to the first control strategy, when the air conditioner is detected to be manually adjusted, the first user state and/or the first control strategy matched with the first state information are/is updated according to the operation information that the air conditioner is manually adjusted.
For example, when it is detected that the air conditioner is manually adjusted after the air conditioner temperature is adjusted according to the first control strategy, it indicates that the adjustment of the air conditioner temperature according to the first control strategy cannot meet the requirement last time, and therefore, according to the operation information that the air conditioner is manually adjusted, the first user status and/or the first control strategy that matches the first status information is updated. Taking the first state information as 'skin sweating', determining the first user state as body sensible heat according to the corresponding relation, taking the first control strategy as an example of reducing the current temperature of the air conditioner by 3 ℃, after controlling the air conditioner to adjust the temperature according to the first control strategy, acquiring that the current temperature of the air conditioner is increased by 1 ℃ by the user, indicating that the current temperature is too low, and updating the first state information matched with the first control strategy into the state of reducing the current temperature of the air conditioner by 2 ℃.
Optionally, step 104 may be implemented by:
a. the current temperature of the air conditioner is increased or decreased by one unit temperature. Or the like, or, alternatively,
b. and determining to adjust the current temperature to the proper temperature corresponding to the first state information by using the preset corresponding relation between the state information and the proper temperature.
For example, the control strategy may control the temperature of the air conditioner according to different state information, when it is determined that the temperature of the air conditioner needs to be increased, the current temperature of the air conditioner is increased by one unit temperature, and when it is determined that the temperature of the air conditioner needs to be decreased, the current temperature of the air conditioner is decreased by one unit temperature, where the unit temperature may be set according to a specific requirement, or may be set to 1 degree celsius by default. Further, the current temperature may be adjusted to the suitable temperature corresponding to the state information according to a preset corresponding relationship between the state information and the suitable temperature, where the corresponding relationship may be a functional relationship between the state information and the suitable temperature, or may be a relational table between the state information and the suitable temperature, for example, a functional model established by using a preset algorithm (e.g., a learning algorithm) according to empirical data and/or experimental data.
In summary, the present disclosure first collects first target information sent by a target object in a current environment. And then identifying the first target information to obtain first state information of a target object reflected in the first target information, then determining a first control strategy matched with the first state information in a control strategy database, and finally adjusting the temperature of the air conditioner according to the first control strategy, wherein the control strategy database is a self-learning database and comprises a plurality of control strategies determined according to the state information obtained for many times and corresponding adjusting operation records of the air conditioner. The method and the device can actively identify the user state of the target object, automatically adjust the temperature of the air conditioner and enable the air conditioner to be more automatic and intelligent in use.
Fig. 6 is a block diagram illustrating an air conditioning control apparatus according to an exemplary embodiment, and as shown in fig. 6, the apparatus 200 includes:
the obtaining module 201 is configured to obtain first target information sent by a target object in a current environment.
The identifying module 202 is configured to identify the first target information to obtain first state information of the target object.
The determining module 203 is configured to determine a first control policy corresponding to the first state information according to the control policy database. The control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to the state information acquired for a plurality of times and the adjusting operation record of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database.
And the adjusting module 204 is used for adjusting the temperature of the air conditioner according to a first control strategy.
Fig. 7 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment, and as shown in fig. 7, the identification module 202 includes:
the first recognition sub-module 2021 is configured to, when the first target information is speech information, recognize the speech information by using a preset speech recognition algorithm to determine semantics of a user in the speech information.
The processing sub-module 2022 is configured to use the user's semantic meaning as the first status information.
Fig. 8 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment, and as shown in fig. 8, the identification module 202 includes:
the second identifying sub-module 2023 is configured to, when the first target information is image information, identify the image information by using a preset image identification algorithm to determine a physical sign of the user and/or an action of the user in the image information.
The processing sub-module 2024 is configured to use the physical sign of the user and/or the action of the user as the first status information.
Fig. 9 is a block diagram illustrating another air conditioner control device according to an exemplary embodiment, where, as shown in fig. 9, a control policy database includes a first correspondence relationship between a plurality of status information and a plurality of user statuses, and a second correspondence relationship between the plurality of user statuses and a plurality of control policies. The determination module 203 includes:
the first determining sub-module 2031 is configured to determine, according to the first corresponding relationship, a first user state matched with the first state information.
The second determining sub-module 2032 is configured to determine, according to the second correspondence, a control policy corresponding to the first user state as the first control policy.
Fig. 10 is a block diagram illustrating another air conditioning control apparatus according to an exemplary embodiment, and as shown in fig. 10, the apparatus 200 further includes:
and the updating module 205 is configured to update the first user state and/or the first control policy matched with the first state information according to the second state information when the second state information acquired from the second target information sent by the target object indicates that the temperature of the current environment does not meet the requirement of the target object after the temperature of the air conditioner is adjusted according to the first control policy. Alternatively, the first and second electrodes may be,
and the controller is used for updating the first user state and/or the first control strategy matched with the first state information according to the operation information of the air conditioner which is manually adjusted when the air conditioner is detected to be manually adjusted after the temperature of the air conditioner is adjusted according to the first control strategy.
Optionally, the adjusting module 204 may be configured to:
the current temperature of the air conditioner is increased or decreased by one unit temperature. Or the like, or, alternatively,
and determining to adjust the current temperature to the proper temperature corresponding to the first state information by using the preset corresponding relation between the state information and the proper temperature.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In summary, the present disclosure first collects first target information sent by a target object in a current environment. And then identifying the first target information to obtain first state information of a target object reflected in the first target information, then determining a first control strategy matched with the first state information in a control strategy database, and finally adjusting the temperature of the air conditioner according to the first control strategy, wherein the control strategy database is a self-learning database and comprises a plurality of control strategies determined according to the state information obtained for many times and corresponding adjusting operation records of the air conditioner. The method and the device can actively identify the user state of the target object, automatically adjust the temperature of the air conditioner and enable the air conditioner to be more automatic and intelligent in use.
The present disclosure may also provide, according to an exemplary embodiment, a vehicle including any of the air conditioning control apparatuses described in the above embodiments.
Specific descriptions about functions implemented by the modules in the above embodiments have been described in detail in the above method embodiments, and are not described herein again.
In summary, the present disclosure first collects first target information sent by a target object in a current environment. And then identifying the first target information to obtain first state information of a target object reflected in the first target information, then determining a first control strategy matched with the first state information in a control strategy database, and finally adjusting the temperature of the air conditioner according to the first control strategy, wherein the control strategy database is a self-learning database and comprises a plurality of control strategies determined according to the state information obtained for many times and corresponding adjusting operation records of the air conditioner. The method and the device can actively identify the user state of the target object, automatically adjust the temperature of the air conditioner and enable the air conditioner to be more automatic and intelligent in use.
Preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and other embodiments of the present disclosure may be easily conceived by those skilled in the art within the technical spirit of the present disclosure after considering the description and practicing the present disclosure, and all fall within the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. Meanwhile, any combination can be made between various different embodiments of the disclosure, and the disclosure should be regarded as the disclosure of the disclosure as long as the combination does not depart from the idea of the disclosure. The present disclosure is not limited to the precise structures that have been described above, and the scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An air conditioner control method, characterized in that the method comprises:
acquiring first target information sent by a target object in the current environment;
identifying the first target information to acquire first state information of the target object;
determining a first control strategy corresponding to the first state information according to a control strategy database; the control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to state information acquired for many times and adjustment operation records of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database;
and adjusting the temperature of the air conditioner according to the first control strategy.
2. The method according to claim 1, wherein when the first target information is voice information, the identifying the first target information to obtain the first state information of the target object comprises:
recognizing the voice information by using a preset voice recognition algorithm so as to determine the semantics of the user in the voice information;
and taking the semantics of the user as the first state information.
3. The method according to claim 1, wherein when the first target information is image information, the identifying the first target information to obtain first state information of the target object comprises:
recognizing the image information by using a preset image recognition algorithm to determine the physical sign of the user and/or the action of the user in the image information;
and taking the physical signs of the user and/or the actions of the user as the first state information.
4. The method of claim 1, wherein the control policy database comprises a first correspondence between a plurality of state information and a plurality of user states, and a second correspondence between the plurality of user states and the plurality of control policies; the determining a first control policy corresponding to the first state information according to the control policy database includes:
determining a first user state matched with the first state information according to the first corresponding relation;
and determining a control strategy corresponding to the first user state as the first control strategy according to the second corresponding relation.
5. The method of claim 4, further comprising:
when second state information acquired from second target information sent by the target object indicates that the temperature of the current environment does not meet the requirement of the target object after the temperature of the air conditioner is adjusted according to the first control strategy, updating the first user state and/or the first control strategy matched with the first state information according to the second state information; alternatively, the first and second electrodes may be,
after the temperature of the air conditioner is adjusted according to the first control strategy, when the air conditioner is detected to be manually adjusted, the first user state and/or the first control strategy matched with the first state information are/is updated according to the operation information of the air conditioner which is manually adjusted.
6. An air conditioning control apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring first target information sent by a target object in the current environment;
the identification module is used for identifying the first target information to acquire first state information of the target object;
the determining module is used for determining a first control strategy corresponding to the first state information according to a control strategy database; the control strategy database comprises a plurality of control strategies, the plurality of control strategies are determined according to state information acquired for many times and adjustment operation records of the air conditioner when the state information is acquired every time, the first control strategy is any one of the plurality of control strategies, and the control strategy database is a self-learning database;
and the adjusting module is used for adjusting the temperature of the air conditioner according to the first control strategy.
7. The apparatus of claim 6, wherein the identification module comprises:
the first recognition submodule is used for recognizing the voice information by using a preset voice recognition algorithm when the first target information is the voice information so as to determine the semantics of a user in the voice information;
and the processing submodule is used for taking the semantics of the user as the first state information.
8. The apparatus of claim 6, wherein the identification module comprises:
the second identification submodule is used for identifying the image information by using a preset image identification algorithm when the first target information is the image information so as to determine the physical sign of the user and/or the action of the user in the image information;
and the processing submodule is used for taking the physical sign of the user and/or the action of the user as the first state information.
9. The apparatus of claim 6, wherein the control policy database comprises a first correspondence between a plurality of state information and a plurality of user states, and a second correspondence between the plurality of user states and the plurality of control policies; the determining module comprises:
the first determining submodule is used for determining a first user state matched with the first state information according to the first corresponding relation;
and the second determining submodule is used for determining the control strategy corresponding to the first user state as the first control strategy according to the second corresponding relation.
10. A vehicle characterized in that the vehicle is provided with the air conditioning control apparatus of any one of claims 6 to 9.
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