CN113111186A - Method for controlling household appliance, storage medium and electronic device - Google Patents
Method for controlling household appliance, storage medium and electronic device Download PDFInfo
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Abstract
The application relates to a computer software technology, can be applied to the field of intelligent household appliances, and discloses a method for controlling household appliances, which comprises the steps of determining services required by a user; determining a target home device capable of providing the service; generating a control instruction of the target household appliance by combining a preset knowledge graph; and sending the control instruction to the target household appliance. The method and the system determine the service required by the user, determine the target household appliance capable of providing the service, generate the control instruction of the target household appliance by combining the knowledge map, and send the control instruction to the target household appliance, so that the control of the household appliance is closely related to the requirement of the user, and the individual requirement of the user on household appliance control is accurately met.
Description
Technical Field
The present application relates to the field of smart home technologies, and for example, to a method for controlling a home appliance, a storage medium, and an electronic device.
Background
Along with the development of smart home technology, the control mode of household appliances is increasingly intelligent, and the cloud platform can automatically control the household appliances to execute corresponding operations according to specific application scenes or user habits, so that the user requirements are met.
At present, the existing automatic control method for intelligent home appliances generally automatically selects a target home appliance to execute corresponding operations according to trigger conditions such as preset certain home environment parameter thresholds, user behaviors and the like, that is, linear logic of "if …, …"; in an actual application scenario, one intelligent household appliance may cause changes of various household environmental parameters, and further, multiple household appliance devices may be started in a chain manner, so that user experience is affected. In some improved schemes, the linear logic is changed into the mesh logic by using knowledge map technology, so that the problem of the chain starting of the equipment is solved to a certain extent; however, such improved mesh logic generally cannot meet the personalized requirements of users.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
the existing automatic control mode of intelligent household appliances cannot meet the personalized requirements of users.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method for controlling household appliances, a storage medium and an electronic device, so as to solve the technical problem that the existing intelligent household appliance automatic control mode cannot accurately meet the personalized requirements of users. In some embodiments, the present disclosure provides a method for controlling an electric home appliance, the method comprising:
determining the service required by the user;
generating a control instruction of the target household appliance by combining a preset knowledge graph;
and sending the control instruction to the target household appliance.
In some embodiments, the services required by the user are determined according to one or more of semantic, somatosensory, status, and personal preferences of the user.
In some embodiments, the determining the service required by the user according to one or more of the semantic, somatosensory, status, and personal preference of the user includes:
acquiring current user data;
analyzing the current user data to extract one or more information of semantics, body feeling, state and personal preference of the user;
and determining services required by the user corresponding to one or more information of the semantics, the body feeling, the state and the personal preference according to a preset rule generated based on the knowledge graph.
In some embodiments, the knowledge-graph includes at least one of the following information:
family information for describing a home environment of each room in a family;
user information for describing one or more of personal preferences, states, body sensations, semantics of a user;
the service information is used for describing services provided for the user in a home scene; and the combination of (a) and (b),
and the equipment information is used for describing household electrical equipment in the family.
In some embodiments, generating the control command of the target home device in combination with a preset knowledge graph comprises:
acquiring user information for describing personal preferences of a user;
determining data related to the target household appliance in the user information describing the personal preference of the user;
determining a preset control instruction of the target household appliance corresponding to the service required by the user according to a preset rule generated based on the knowledge graph;
and generating a control instruction of the target household appliance based on the preset control instruction by combining the data related to the target household appliance.
In some embodiments, the current user data is one or a combination of voice data, video data.
In some embodiments, the determining a target home device capable of providing the service includes:
determining the type of target household electrical appliance capable of providing the service according to a preset rule generated based on the knowledge graph;
acquiring the state information of a current user in the current user information;
extracting information related to a room in which the current user is located from the state information of the current user;
and determining the target household appliances capable of providing the service in the rooms based on the target household appliance categories.
In some embodiments, the method further comprises:
determining active adjustment service according to a preset rule generated based on the knowledge graph and by combining with current family information;
determining, based on the active adjustment service, a home device that can provide the active adjustment service;
and generating an active adjustment instruction of the household appliance equipment capable of providing the active adjustment service, and sending the active adjustment instruction to the household appliance equipment capable of providing the active adjustment service.
The disclosed embodiments provide a computer-readable storage medium storing computer instructions for a processor to perform the methods provided by the disclosed embodiments.
The disclosed embodiment provides an electronic device, which comprises a processor and a memory, wherein the memory stores computer instructions, and the processor is configured to execute the method provided by the disclosed embodiment based on the computer instructions.
The method, the storage medium and the electronic device for controlling the household appliance provided by the embodiment of the disclosure can realize the following technical effects:
the method and the device for controlling the household appliances determine the services required by the user, determine the target household appliances capable of providing the services, generate the control instructions of the target household appliances by combining the knowledge maps, and send the control instructions to the target household appliances, so that the control of the household appliances is closely related to the requirements of the user, and the individual requirements of the user on the household appliance control are accurately met.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
fig. 1 is a flowchart of a method for controlling an electric home appliance according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of a knowledge-graph structure provided by an embodiment of the present disclosure;
fig. 3 is a second flowchart of a method for controlling an electric home appliance according to an embodiment of the present disclosure;
fig. 4 is a third flowchart of a method for controlling an electric home appliance according to an embodiment of the present disclosure;
fig. 5 is a fourth flowchart of a method for controlling an electrical home device according to an embodiment of the present disclosure;
fig. 6 is a fifth flowchart of a method for controlling a home appliance according to an embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
The embodiment of the disclosure provides a method for controlling household appliances, a storage medium and an electronic device, so as to solve the technical problem that the existing intelligent household appliance automatic control mode cannot accurately meet the personalized requirements of users. The method provided by the embodiment of the disclosure is mainly applied to an intelligent home scene.
In some embodiments, as shown in fig. 1, embodiments of the present disclosure provide a method for controlling an electric home appliance, the method including:
s101, determining services required by a user;
s102, determining target household electrical appliance equipment capable of providing the service;
s103, generating a control instruction of the target household appliance by combining a preset knowledge graph;
and S104, sending the control instruction to the target household appliance.
The services required by the user may include raising the room temperature, lowering the room temperature, increasing the humidity, lowering the humidity, turning on the television, turning off the television, and the like. The target household electrical appliance capable of providing the service is determined by firstly determining the type of the target household electrical appliance capable of providing the service and then determining the target household electrical appliance capable of providing the service according to the room where the user is located.
Those skilled in the art may set other services required by the user and determine the target home device capable of providing the services, but the present application is not limited thereto.
The method provided by the embodiment of the disclosure is realized based on a knowledge graph. Wherein the knowledge-graph includes at least one of the following information:
family information for describing a home environment of each room in a family;
user information for describing one or more of personal preferences, states, body sensations, semantics of a user;
the service information is used for describing services provided for the user in a home scene; and the combination of (a) and (b),
and the equipment information is used for describing household electrical equipment in the family.
An exemplary knowledge graph is shown in fig. 2, in which nodes correspond to elements in a smart home application scenario, including user information, home information, service information, and device information. Edges correspond to relationships between nodes (i.e., elements in a smart home application scenario), and typical relationships include triggering (on/off), influencing (adding/subtracting), locating, containing (Has-a), inheriting (Is-a), and the like. The edges are directional. The triggering condition is used for describing a specific condition that the household environmental parameter triggers the intelligent household appliance, for example, if the indoor temperature exceeds a threshold value, the air conditioner is triggered to be turned on. In practical application, a person skilled in the art can control the household appliance according to a preset rule generated based on the knowledge graph. The preset rule generated based on the knowledge graph can be in a form of a table, for example, user information can include a position, a state, a body feeling, a personal preference and a semantic meaning, the body feeling can be the body temperature of a user, the state can be that the user sleeps, the personal preference can be that the user likes an environment with a higher temperature, the semantic meaning can be that the user expresses the semantic meaning of 'i is cold', when the body feeling temperature is in a cold range, the service required by the corresponding user is warming, the type of the household appliance capable of providing the warming service is an air conditioner or an electric heater, technicians in the field can set the preset rule in 11-2 months, the type of the household appliance corresponding to the warming service is an electric heater, and in other months, the type of the household appliance corresponding to the warming service is an air conditioner. After determining the home device type, for example, the determined home device type is an air conditioner, the location information in the user information may be obtained, for example, the user is in a living room, and at this time, it may be determined that the home device to be controlled is an air conditioner in the living room. In the preset rule generated based on the knowledge graph, the preset control instruction corresponding to the air conditioner in the living room may be the heating mode of 26 ℃, and at this time, the preset control instruction may be issued to the air conditioner as the control instruction of the air conditioner, or, if the personal preference information in the user information includes information related to the air conditioner, for example, the user information describing the personal preference of the user includes data of the temperature, the wind speed, the pendulum wind and the like of the air conditioner, the control instruction of the temperature, the wind speed and the pendulum wind of the air conditioner may be generated according to the data and by combining the preset control instruction, and issued to the air conditioner. The preset rule generated based on the knowledge graph can be a preset rule automatically generated according to the direction of each side on the knowledge graph after the knowledge graph is built. The knowledge graph in fig. 2 is an example only, and those skilled in the art may set the knowledge graph in other ways.
In some embodiments, elements in the knowledge-graph may be supplemented by one skilled in the art. For example, when a manufacturer performing smart home service needs to add a new home appliance to the knowledge graph, service information associated with the new home appliance may be combed according to a big data algorithm, and the device information and the service information of the new home appliance may be added to the knowledge graph. The knowledge graph can be a basic knowledge graph common to all users, and the knowledge graph of each user family can be generated based on the basic knowledge graph. Or if a new household appliance exists in the home of the user and needs to be added into the knowledge graph of the home of the user, the service information which can be provided by the new household appliance can be combed according to a big data algorithm, and the device information and the service information are added into the knowledge graph of the home of the user. The device information may include room information of the new home device, so that when the home device in a certain room needs to be called to work, an association relationship may be used as a basis. After a new element is added to the knowledge graph, the method provided by the embodiment of the disclosure may further generate a new preset rule based on the knowledge graph, and update the preset rule generated based on the knowledge graph before.
Those skilled in the art may supplement the elements of the knowledge-graph in other ways as well, and the application is not limited thereto.
The method for controlling the household appliance provided by the embodiment of the disclosure can realize the following technical effects:
the method and the device for controlling the household appliances determine the services required by the user, determine the target household appliances capable of providing the services, generate the control instructions of the target household appliances by combining the knowledge maps, and send the control instructions to the target household appliances, so that the control of the household appliances is closely related to the requirements of the user, and the personalized requirements of the user on household appliance control are met.
And determining the service required by the user in the step S102, including determining the service required by the user according to one or more of semantic, somatosensory, state and personal preference of the user. I.e. determining the services required by the user based on the user information.
In some embodiments, as shown in fig. 3, the determining the service required by the user according to one or more of semantic, somatosensory, status, and personal preference of the user includes:
s301, acquiring current user data;
s302, analyzing the current user data to extract one or more information of semantics, body feeling, state and personal preference of a user;
and S303, determining services required by the user corresponding to one or more information of the semantics, the body feeling, the state and the personal preference according to a preset rule generated based on the knowledge graph.
In some embodiments, the current user data is one or a combination of voice data, video data, somatosensory detection data.
S302 parses the current user data to extract one or more information of semantics, body feeling, state, and personal preference of the user, which may be parsing the video data, extracting state information of the user and personal identification information of the user, and then determining personal preference information associated with the personal identification information according to the personal identification information of the user. Alternatively, in S302, the current user data is analyzed to extract one or more information of semantics, body feeling, state, and personal preference of the user, which may be analyzing the voice data to extract the body feeling or state information of the user.
After one or more information of the semantics, the body feeling, the state and the personal preference of the user is extracted, one or more information of the semantics, the body feeling, the state and the personal preference can be integrated, and the service required by the user, which is pointed by the one or more information in the knowledge-based map, is determined. For example, when the user says "the room is good and cold", in the preset rule generated based on the knowledge graph, the service required by the user corresponding to the semantic information of "cold" is room temperature elevation, and it can be determined that the service required by the user is room temperature elevation. Or when the video displays that the user is in a sleep state, and the service required by the user is room temperature elevation in a preset rule generated based on the knowledge graph, the sleep state can be used for determining that the service required by the user is room temperature elevation.
In some embodiments, as shown in fig. 4, generating the control command of the target home device in combination with a preset knowledge map includes:
s401, obtaining user information for describing personal preferences of a user;
s402, determining data related to the target household appliance in the user information describing the personal preference of the user;
s403, determining a preset control instruction of the target household appliance corresponding to the service required by the user according to a preset rule generated based on the knowledge graph;
and S404, generating a control instruction of the target household appliance based on the preset control instruction by combining the data related to the target household appliance.
The user information for describing the personal preferences of the user may include setting preferences of the user on each household appliance, for example, the setting preferences of the user on the air conditioner are 28 ℃, and the air is turned on, and when the control instruction of the air conditioner is generated, if the preset control instruction is 26 ℃, the control instruction of the air conditioner may be set to be 28 ℃ according to the setting preferences of the user on the air conditioner, and the air is turned on.
In practical applications, if the target household electrical appliance is an air conditioner, the preset control command of the air conditioner is 26 ℃ in the preset rule generated based on the knowledge graph, and if the data related to the air conditioner in the user information describing the personal preference of the user is 28 ℃ in the temperature, the control command of the air conditioner can be generated to be 28 ℃ in the heating mode based on the preset control command.
In some embodiments, as shown in fig. 5, the S103 determining a target home device capable of providing the service includes:
s501, determining the type of target household electrical appliance capable of providing the service according to a preset rule generated based on the knowledge graph;
s502, acquiring the state information of the current user in the current user information;
s503, extracting the information related to the room in the state information of the current user;
and S504, determining the target household appliances capable of providing the service in the rooms based on the target household appliance categories.
Some exemplary embodiments provided by the embodiments of the present disclosure, for example, when a user says "a room is good and cold", the embodiments of the present disclosure may determine that the user needs to raise the room temperature according to the semantics of the user. From the status of the user obtained through the video data, a specific room, such as a living room, in which the room temperature needs to be raised can be determined. It can thus be determined that the service required by the user is to raise the room temperature and the room in which the user is located is the living room. Then, according to the preset rule generated based on the knowledge graph, when the service required by the user is to raise the room temperature, the corresponding target household appliance category is the air conditioner. According to the fact that the room where the user is located is the living room, it can be determined that the air conditioner in the living room needs to be started. After the target household appliance is determined, according to a preset rule generated based on the knowledge graph, a preset control instruction corresponding to the target household appliance can be determined, the heating mode is started to 26 ℃, and if data related to the air conditioner in user information describing personal preference of the user is that the temperature is 28 ℃, the control instruction of the air conditioner can be generated to be 28 ℃ based on the preset control instruction. If the data related to the air conditioner comprises the wind speed, the swing wind and other data of the air conditioner in the user information describing the personal preference of the user, the wind speed, the swing wind and other data of the air conditioner can be controlled according to the data. And if the user information describing the personal preference of the user does not contain data related to the air conditioner, setting the control instruction of the air conditioner as a preset control instruction, namely a heating mode of 26 ℃, and issuing the control instruction to the air conditioner.
When the user falls asleep in the process of watching television by analyzing the video data, the embodiment of the disclosure can judge that the user needs to raise the room temperature according to the state of the user. From the status of the user obtained through the video data, a specific room, such as a living room, in which the room temperature needs to be raised can be determined. It can thus be determined that the service required by the user is to raise the room temperature and the room in which the user is located is the living room. Then, according to the preset rule generated based on the knowledge graph, when the service required by the user is to raise the room temperature, the corresponding target household appliance category is the air conditioner. According to the fact that the room where the user is located is the living room, it can be determined that the air conditioner in the living room needs to be started. After the target household appliance is determined, according to a preset rule generated based on the knowledge graph, a preset control instruction corresponding to the target household appliance can be determined, the heating mode is started to 26 ℃, and if data related to the air conditioner in user information describing personal preference of the user is that the temperature is 28 ℃, the control instruction of the air conditioner can be generated to be 28 ℃ based on the preset control instruction. If the data related to the air conditioner comprises the wind speed, the swing wind and other data of the air conditioner in the user information describing the personal preference of the user, the wind speed, the swing wind and other data of the air conditioner can be controlled according to the data. And if the user information describing the personal preference of the user does not contain data related to the air conditioner, setting the control instruction of the air conditioner as a preset control instruction, namely a heating mode of 26 ℃, and issuing the control instruction to the air conditioner.
When the temperature of the room where the user is located is lower than the comfortable room temperature range to which the user is accustomed, the embodiment of the disclosure can determine that the user needs to raise the room temperature according to the personal preference of the user. From the status of the user obtained through the video data, a specific room, such as a living room, in which the room temperature needs to be raised can be determined. It can thus be determined that the service required by the user is to raise the room temperature and the room in which the user is located is the living room. Then, according to the preset rule generated based on the knowledge graph, when the service required by the user is to raise the room temperature, the corresponding target household appliance category is the air conditioner. According to the fact that the room where the user is located is the living room, it can be determined that the air conditioner in the living room needs to be started. After the target household appliance is determined, according to a preset rule generated based on the knowledge graph, a preset control instruction corresponding to the target household appliance can be determined, the heating mode is started to 26 ℃, and if data related to the air conditioner in user information describing personal preference of the user is that the temperature is 28 ℃, the control instruction of the air conditioner can be generated to be 28 ℃ based on the preset control instruction. If the data related to the air conditioner comprises the wind speed, the swing wind and other data of the air conditioner in the user information describing the personal preference of the user, the wind speed, the swing wind and other data of the air conditioner can be controlled according to the data. And if the user information describing the personal preference of the user does not contain data related to the air conditioner, setting the control instruction of the air conditioner as a preset control instruction, namely a heating mode of 26 ℃, and issuing the control instruction to the air conditioner.
In some embodiments, as shown in fig. 6, the method further comprises:
s601, determining active adjustment service according to a preset rule generated based on the knowledge graph and by combining with current family information;
s602, determining household appliances capable of providing the active adjustment service based on the active adjustment service;
s603, generating an active adjustment instruction of the household appliance equipment capable of providing the active adjustment service, and sending the active adjustment instruction to the household appliance equipment capable of providing the active adjustment service.
The current family information mentioned in S601 may be combined with the preset rule generated based on the knowledge graph, that is, the current family information and the user information are first acquired, and the active regulation service is determined by combining the current family information and the user information with the preset rule generated based on the knowledge graph.
The user information may be one or more information describing personal preferences, states, body feeling, and semantics of the user.
In practical applications, the family information may be used to describe the home environment of each room in the family. The home environment may be room temperature, humidity, air quality, etc. The current home information may be current room temperature data, current room humidity data, current air quality data, and the like. The current home information can be obtained by obtaining the value detected by the temperature sensor, the value detected by the humidity sensor, and the data detected by the air detection device. The person skilled in the art may also use other ways to obtain the current family information, and the application is not limited thereto.
In some application scenarios, for example, after the user goes home from work, the embodiments of the present disclosure perform parsing according to the video data, and may determine that the user has a rest in the living room. Then, the current room temperature of the living room is obtained by a temperature sensor at 16 ℃, at this time, the comfortable room temperature range is 20-24 ℃ in the user information for determining the personal preference of the user A, and the comfortable room temperature range is compared with the comfortable room temperature range of 20-24 ℃ in the user information for determining the personal preference of the user A, and the service required by the user is judged to be the room temperature needing to be improved. Here, raising the room temperature is an active adjustment service. At this time, according to a preset rule generated based on the knowledge graph, the type of the household appliance corresponding to the room temperature needing to be improved can be determined to be an air conditioner, according to video data, the type of the household appliance corresponding to the room temperature needing to be improved can be determined to be the air conditioner of the living room, the type of the household appliance corresponding to the room temperature needing to be started is determined to be the air conditioner of the living room, at this time, according to the preset rule generated based on the knowledge graph, a preset control instruction of the air conditioner.
At this time, the method provided by the embodiment of the present disclosure may query the content related to the air conditioner control in the personal preference data of the user a, and respectively obtain that the temperature of the air conditioner preferred by the user is "comfortable room temperature" 20 ℃ to 24 ℃, the wind speed is automatic, and the air conditioner is set at the wind speed. According to the inquired personal preference data, an air conditioner control instruction can be generated by combining a preset control instruction of an air conditioner, the target temperature is set to be 24 ℃, the wind speed is set to be automatic, and the swing wind is set to be on. And sends the air conditioner control command to the air conditioner in the living room.
Further, after the air conditioner is turned on, according to the current family information, it can be determined that the current ambient humidity of the living room is 28% and is 30% -80% lower than the comfortable range of the air humidity, and at this time, it is determined that humidification is needed, humidification is an active adjustment service, the device capable of providing the service is a humidifier, the current location of the user is the living room, at this time, the humidifier in the living room needs to be turned on, and an opening instruction of the humidifier can be generated and sent to the humidifier.
The active adjustment service mentioned in the embodiment of the disclosure is different from the service actively triggered by the user, so that the embodiment of the disclosure can actively adjust the home environment according to the temperature and humidity in the home information while meeting the personalized requirements of the user, thereby ensuring that the user can provide a comfortable home environment for the user without considering the comfort level of the home environment, and improving the living experience of the user.
The control parameters of various home devices provided in the embodiments of the present disclosure are only examples, and those skilled in the art may set the control parameters of other home devices as needed.
The method for controlling the household appliance provided by the embodiment of the disclosure can realize the following technical effects:
the method and the device for controlling the household appliances determine the services required by the user, determine the target household appliances capable of providing the services, generate the control instructions of the target household appliances by combining the knowledge maps, and send the control instructions to the target household appliances, so that the control of the household appliances is closely related to the requirements of the user, and the individual requirements of the user on the household appliance control are accurately met.
As shown in fig. 7, an embodiment of the present disclosure provides an electronic device including a processor (processor)100 and a memory (memory) 101. Optionally, the electronic device may further include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call the logic instructions in the memory 101 to perform the method for controlling the electric home appliance of the above-described embodiment.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by executing program instructions/modules stored in the memory 101, that is, implements the method for controlling the home appliance in the above-described embodiments.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides a product (for example, a computer, a mobile phone, etc.) comprising the electronic device.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for controlling an electric home appliance.
Embodiments of the present disclosure provide a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-mentioned method for controlling an electric home appliance.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A method for controlling an appliance, the method comprising:
determining the service required by the user;
determining a target home device capable of providing the service;
generating a control instruction of the target household appliance by combining a preset knowledge graph;
and sending the control instruction to the target household appliance.
2. The method of claim 1, wherein the services required by the user are determined according to one or more of voice, semantic, somatosensory, status, and personal preferences of the user.
3. The method of claim 2, wherein determining the services required by the user according to one or more of semantic, somatosensory, status, and personal preferences of the user comprises:
acquiring current user data;
analyzing the current user data to extract one or more information of semantics, body feeling, state and personal preference of the user;
and determining services required by the user corresponding to one or more information of the semantics, the body feeling, the state and the personal preference according to a preset rule generated based on the knowledge graph.
4. The method of claim 1, wherein the knowledge-graph comprises at least one of the following information:
family information for describing a home environment of each room in a family;
user information for describing one or more of personal preferences, states, body sensations, semantics of a user;
the service information is used for describing services provided for the user in a home scene; and the combination of (a) and (b),
and the equipment information is used for describing household electrical equipment in the family.
5. The method of claim 4, wherein generating the control command for the target home device in combination with a preset knowledge-map comprises:
acquiring user information for describing personal preferences of a user;
determining data related to the target household appliance in the user information describing the personal preference of the user;
determining a preset control instruction of the target household appliance corresponding to the service required by the user according to a preset rule generated based on the knowledge graph;
and generating a control instruction of the target household appliance based on the preset control instruction by combining the data related to the target household appliance.
6. The method of claim 3, wherein the current user data is one or a combination of voice data, video data.
7. The method of claim 1, wherein the determining a target home device capable of providing the service comprises:
determining the type of target household electrical appliance capable of providing the service according to a preset rule generated based on the knowledge graph;
acquiring the state information of a current user in the current user information;
extracting information related to a room in which the current user is located from the state information of the current user;
and determining the target household appliances capable of providing the service in the rooms based on the target household appliance categories.
8. The method of any of claims 1 to 7, further comprising:
determining active adjustment service according to a preset rule generated based on the knowledge graph and by combining with current family information;
determining, based on the active adjustment service, a home device that can provide the active adjustment service;
and generating an active adjustment instruction of the household appliance equipment capable of providing the active adjustment service, and sending the active adjustment instruction to the household appliance equipment capable of providing the active adjustment service.
9. A computer-readable storage medium storing computer instructions for execution by a processor of the method of any one of claims 1 to 8.
10. An electronic device comprising a processor and a memory, the memory storing computer instructions, the processor being configured to perform the method of any one of claims 1 to 8 based on the computer instructions.
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| CN202110350004.2A CN113111186A (en) | 2021-03-31 | 2021-03-31 | Method for controlling household appliance, storage medium and electronic device |
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| CN202110350004.2A CN113111186A (en) | 2021-03-31 | 2021-03-31 | Method for controlling household appliance, storage medium and electronic device |
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