CN111431776A - Information configuration method, device and system - Google Patents
Information configuration method, device and system Download PDFInfo
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- CN111431776A CN111431776A CN202010230267.5A CN202010230267A CN111431776A CN 111431776 A CN111431776 A CN 111431776A CN 202010230267 A CN202010230267 A CN 202010230267A CN 111431776 A CN111431776 A CN 111431776A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2807—Exchanging configuration information on appliance services in a home automation network
- H04L12/2814—Exchanging control software or macros for controlling appliance services in a home automation network
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Abstract
The invention relates to an information configuration method, device and system, which are used for acquiring preset training information and training and generating a user scene model according to the interactive relation between the preset training information and a preset smart home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to an information configuration method, device and system.
Background
Under the current concept of home automation, smart homes (home automation) integrate facilities related to home life by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology to construct an efficient management system of residential facilities and home schedule affairs so as to improve the home safety, convenience, comfort and artistry and realize an environment-friendly and energy-saving living environment.
With the development of household electrical appliances at present, the household electrical appliances are increasingly diversified in types and functions as terminal equipment under an intelligent household system. In order to realize home automation, various terminal devices need to be configured in a customized manner according to the use habits or information of users, such as the on-off time of lights. However, because of the wide variety of the current smart home terminal devices, a user needs to spend a lot of energy to configure information when using the smart home terminal device for the first time or adjusting the use state, which affects the use convenience and intelligence of the smart home.
Disclosure of Invention
Therefore, it is necessary to provide an information configuration method, apparatus and system for the purpose that a user needs to spend a lot of energy to configure information when using a smart home for the first time or adjusting the use state of the smart home, which affects the convenience and intelligence of the smart home.
An information configuration method, comprising the steps of:
acquiring preset training information; the preset training information comprises preset user information and preset house information;
training to generate a user scene model according to the interactive relation between preset training information and preset smart homes;
matching target user information and target house information of the smart home to be configured based on the user scene model;
and pushing configuration information to the intelligent home to be configured according to the matching result so as to indicate the intelligent home to be configured to complete configuration according to the configuration information.
According to the information configuration method, the preset training information is obtained, and the user scene model is generated through training according to the interactive relation between the preset training information and the preset intelligent home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
In one embodiment, the process of training and generating the user scene model according to the interactive relationship between the preset training information and the preset smart home comprises the following steps:
classifying preset training information to obtain training information classes;
and according to a preset control mode of the smart home, establishing a mapping relation between the control mode and the training information category to obtain a user scene model.
In one embodiment, the training information category includes a control area, a device category, or a user usage time.
In one embodiment, the method further comprises the following steps:
and sending user setting information to the intelligent home to be configured to indicate the intelligent home to be configured to complete configuration according to the configuration information and the user setting information.
In one embodiment, the preset user information includes the number of members in the user's home, age level, time of home, or health status.
In one embodiment, the preset house information includes room information or house structure information.
In one embodiment, the target user information includes the number of members of the user's home, age level, time of home, or health status.
In one embodiment, the target house information includes room information or house structure information.
An information configuring apparatus comprising:
the preset information acquisition module is used for acquiring preset training information; the preset training information comprises preset user information and preset house information;
the model training module is used for training and generating a user scene model according to the interaction relation between preset training information and preset intelligent home;
the information matching module is used for matching target user information and target house information of the smart home to be configured based on the user scene model;
and the information pushing module is used for pushing the configuration information to the intelligent home to be configured according to the matching result.
The information configuration device acquires preset training information and trains and generates the user scene model according to the interactive relation between the preset training information and the preset intelligent home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the information configuring method of any of the above embodiments when executing the computer program.
The computer equipment acquires preset training information and trains and generates the user scene model according to the interactive relation between the preset training information and the preset intelligent home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
A computer storage medium having stored thereon a computer program which, when executed by a processor, implements the information configuring method of any of the above embodiments.
The computer storage medium acquires preset training information and trains and generates a user scene model according to the interactive relation between the preset training information and the preset smart home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
Drawings
FIG. 1 is a flow chart of an information configuration method according to an embodiment;
FIG. 2 is a flow chart of an information configuration method according to another embodiment;
FIG. 3 is a flow chart of a method for configuring information according to yet another embodiment;
fig. 4 is a block diagram of an information distribution apparatus according to an embodiment.
Detailed Description
For better understanding of the objects, technical solutions and effects of the present invention, the present invention will be further explained with reference to the accompanying drawings and examples. Meanwhile, the following described examples are only for explaining the present invention, and are not intended to limit the present invention.
The embodiment of the invention provides an information configuration method.
Fig. 1 is a flowchart of an information configuring method according to an embodiment, and as shown in fig. 1, the information configuring method according to an embodiment includes steps S100, S101, S102, and S103:
s100, acquiring preset training information; the preset training information comprises preset user information and preset house information;
the preset user information comprises information of each user type, including the number of the members in the user's house, age level, home time or health condition and the like. The preset house information includes information of each house type, including room information or house structure information. The preset user information and the preset house information have a correlation with the mode of using the intelligent home by the user. The preset user information is used for representing personal information of various users of the smart home. The preset house information is used for representing information of various application scenes of the smart home.
S101, training and generating a user scene model according to the interactive relation between preset training information and preset smart homes;
the user scene model is used for representing a mapping relation between preset training information and preset intelligent home, namely, a corresponding relation exists among the preset intelligent home, the preset user information and the preset house information. For example, house information is preset as a double apartment, user information is preset as a single internet worker of 22 years old, and the time of going to work and going to work is relatively fixed. The number and types of the preset smart homes installed in the duplex apartment are fixed, and the on-off time of the preset smart homes, such as lamplight, is associated with the on-off time of the preset user.
In one embodiment, the interactive relationship between the preset training information and the preset smart home can be established through a induction method or Monte Carlo simulation, and a user scene model is generated through training.
In one embodiment, fig. 2 is a flowchart of an information configuration method according to another embodiment, and as shown in fig. 2, a process of training and generating a user scene model according to an interaction relationship between preset training information and preset smart home in step S101 includes steps S200 and S201:
s200, classifying preset training information to obtain training information categories;
the preset training information is classified so as to establish a mapping relation between the control mode and the training information category conveniently in the follow-up process. In one embodiment, the training information category includes a control area, a device category, or a user usage time. The preset user information and the preset house information in the preset training information are classified into any one or more of a control area, a device type or user service time as a whole.
S201, according to a control mode of a preset intelligent home, establishing a mapping relation between the control mode and training information categories to obtain a user scene model.
After the preset training information is classified in step S200, the control mode of the preset smart home corresponds to the training information category. And acquiring and training a user scene model according to a plurality of preset intelligent home control modes and a plurality of training information categories.
S102, matching target user information and target house information of the smart home to be configured based on the user scene model;
after the user scene model obtained in step S101 is obtained, the configuration information corresponding to the control mode may be determined after the target user information and the target house information of the smart home are determined according to the correspondence between the preset user information in the user scene model and the control mode of the smart home.
In one embodiment, the target user information corresponds to preset user information, including the number of members in the user's home, age level, time of home, or health status.
In one embodiment, the target house information corresponds to preset house information, including room information or house structure information.
S103, pushing configuration information to the to-be-configured smart home according to the matching result so as to indicate the to-be-configured smart home to complete configuration according to the configuration information.
After the matching result is determined, the configuration information determined according to the matching result can be used for setting the startup setting and the use adjustment setting of the smart home, and after the smart home is configured according to the configuration information, the use habits of the user of the target house information and the preset house information can be fitted.
In one embodiment, fig. 3 is a flowchart of an information configuring method according to yet another embodiment, and as shown in fig. 3, the information configuring method according to yet another embodiment further includes step S300:
s300, sending user setting information to the intelligent home to be configured to indicate the intelligent home to be configured to complete configuration according to the configuration information and the user setting information.
When the smart home to be configured is configured according to the configuration information, user setting information is acquired at the same time, and configuration is completed at the same time according to the user setting information and the configuration information. For example, part of the settings in the configuration information do not meet the requirements of the target user, and the target user can complete part of the adjustments by sending user setting information to the smart home to be configured.
For better understanding of the present embodiment, a specific application example is described below. It should be noted that the specific application is only for explaining the embodiment, and the embodiment is not limited to the specific application.
Firstly, the execution main body calls preset user information through the information configuration method of any one of the embodiments, and the main information comprises: the house type structure of the user house, the household habit of the user and the like. The user's home habits may be questionnaire-investigated through cell services, including APP or forms. The user's home habits can set items as follows: the user's living time, the user's commuting time, the user's dining time, etc.
Then carrying out interactive analysis, wherein in the process of the interactive analysis, the system gives names to various functional areas in the user house, such as a living room, a bedroom, a corridor and the like, then intelligent household equipment in the user house is distributed into the corresponding areas according to the engineering construction scheme, and area attributes are set for the intelligent household equipment; the system sets a plurality of use scenes which are simultaneously controlled by a plurality of devices, such as working scenes, according to the household habits of the users, namely the use time of the users to each device: configuring a command for turning off all the intelligent household equipment which is not required to be in standby for a long time; getting up scene: configuring a command for opening all devices such as a bedroom curtain; a sleep scene: and configuring an instruction for turning off all the light equipment in the household.
In the last process, various scenes of the user have been preset. The tester simulates various use modes of the user to train the scene models. The trained model sequences preset regions and scenes, and the like, so that the configuration is more in line with the use habits of users. For example, simulating the working use scene of the user, training according to the time in the investigation process of the user, and if the time reaches the triggering time point in the use process of the smart home, the system prompts a push prompt to the user APP to inquire whether the user needs to execute the working scene; for example, a user getting up using scene is simulated, training is carried out according to the time in the user investigation process, and if the time reaches the trigger time point in the intelligent home using process of the user, the system prompts the user APP to inquire whether the user needs to execute an office work scene.
When the residential building is delivered to the user for use, the user information and the information of the house where the user is located are collected, and the user information is matched with a preset scene template.
Finally, the configuration is pushed to the user APP, the user registers the account number, and the configured smart home can be directly used after the user enters the APP.
The information configuration method in any embodiment obtains the preset training information, and trains and generates the user scene model according to the interactive relationship between the preset training information and the preset smart home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
The embodiment of the invention also provides an information configuration device.
Fig. 4 is a block diagram of an information configuration apparatus according to an embodiment, and as shown in fig. 4, the information configuration apparatus according to an embodiment includes a preset information obtaining module 100, a model training module 101, an information matching module 102, and an information pushing module 103:
a preset information obtaining module 100, configured to obtain preset training information; the preset training information comprises preset user information and preset house information;
the model training module 101 is used for training and generating a user scene model according to the interaction relation between preset training information and preset smart homes;
the information matching module 102 is used for matching target user information and target house information of the smart home to be configured based on the user scene model;
and the information pushing module 103 is used for pushing configuration information to the smart home to be configured according to the matching result.
In one embodiment, the model training module 101 includes a classification module and a mapping module:
the classification module is used for classifying preset training information to obtain a training information category;
and the mapping module is used for establishing a mapping relation between the control mode and the training information category according to the control mode of the preset intelligent home to obtain the user scene model.
In one embodiment, the system further comprises a user setting module.
And the user setting module is used for sending user setting information to the intelligent home to be configured so as to indicate the intelligent home to be configured to complete configuration according to the configuration information and the user setting information.
The information configuration device of any embodiment obtains preset training information and generates a user scene model through training according to the interactive relation between the preset training information and the preset smart home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
The embodiment of the invention also provides a storage medium, wherein computer instructions are stored on the storage medium, and when the instructions are executed by a processor, the instructions realize the information configuration method of any one of the embodiments.
Those skilled in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Random Access Memory (RAM), a Read-Only Memory (ROM), a magnetic disk, and an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a terminal, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a RAM, a ROM, a magnetic or optical disk, or various other media that can store program code.
Corresponding to the computer storage medium, in an embodiment, there is also provided a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the encoder implements any one of the information configuring methods in the embodiments as described above when executing the program.
The computer equipment acquires preset training information and trains and generates the user scene model according to the interactive relation between the preset training information and the preset intelligent home. Further, according to the interactive relation between preset training information and preset smart homes, a user scene model is generated through training, target user information and target house information of the smart homes to be configured are matched based on the user scene model, and configuration information is pushed to the smart homes to be configured according to a matching result so as to indicate the smart homes to be configured to complete configuration according to the configuration information. Based on this, the information configuration of the intelligent home is automatically completed, the user does not need to carry out complicated setting configuration, and the use convenience and the intelligence of the intelligent home are improved.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. An information configuration method, comprising the steps of:
acquiring preset training information; the preset training information comprises preset user information and preset house information;
training to generate a user scene model according to the interactive relation between the preset training information and the preset intelligent home;
matching target user information and target house information of the smart home to be configured based on the user scene model;
and pushing configuration information to the to-be-configured smart home according to the matching result so as to indicate the to-be-configured smart home to complete configuration according to the configuration information.
2. The information configuration method according to claim 1, wherein the process of training and generating the user scene model according to the interactive relationship between the preset training information and the preset smart home comprises the steps of:
classifying the preset training information to obtain a training information category;
and according to the control mode of the preset intelligent home, establishing a mapping relation between the control mode and the training information category to obtain the user scene model.
3. The information configuration method according to claim 2, wherein the training information category includes a control area, a device category, or a user use time.
4. The information configuration method according to claim 1, further comprising the steps of:
and sending user setting information to the intelligent home to be configured to indicate the intelligent home to be configured to complete configuration according to the configuration information and the user setting information.
5. The information configuration method according to any one of claims 1 to 4, wherein the preset user information includes the number of members in the user's home, age level, time of home, or health condition.
6. The information configuration method according to any one of claims 1 to 4, wherein the preset house information includes room information or house structure information.
7. The information configuration method according to any one of claims 1 to 4, wherein the target user information includes the number of members in the user's home, age level, time of home, or health condition.
8. The information configuration method according to any one of claims 1 to 4, wherein the target house information includes room information or house structure information.
9. An information configuring apparatus, comprising:
the preset information acquisition module is used for acquiring preset training information; the preset training information comprises preset user information and preset house information;
the model training module is used for training and generating a user scene model according to the interactive relation between the preset training information and the preset intelligent home;
the information matching module is used for matching target user information and target house information of the smart home to be configured based on the user scene model;
and the information pushing module is used for pushing configuration information to the intelligent home to be configured according to the matching result.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the information configuring method according to any one of claims 1 to 8 when executing the computer program.
11. A computer storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the information configuring method according to any one of claims 1 to 8.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112653604A (en) * | 2020-12-11 | 2021-04-13 | 珠海格力电器股份有限公司 | Scene migration method and system, electronic device and storage medium |
CN112947107A (en) * | 2021-03-12 | 2021-06-11 | 青岛海尔科技有限公司 | Configuration method and device for smart home scene and electronic equipment |
CN113487038A (en) * | 2021-06-25 | 2021-10-08 | 青岛海尔科技有限公司 | Scene determination method and device, storage medium and electronic device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107490977A (en) * | 2017-09-25 | 2017-12-19 | 深圳市斑点猫信息技术有限公司 | Controlling model training method, the control method and device of smart home |
CN108845503A (en) * | 2018-08-11 | 2018-11-20 | 深圳市百创网络科技有限公司 | The providing method and its system of Intelligent household scene service |
CN109698777A (en) * | 2017-10-24 | 2019-04-30 | 深圳感臻科技有限公司 | Smart home mode configuration method, device and equipment |
-
2020
- 2020-03-27 CN CN202010230267.5A patent/CN111431776A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107490977A (en) * | 2017-09-25 | 2017-12-19 | 深圳市斑点猫信息技术有限公司 | Controlling model training method, the control method and device of smart home |
CN109698777A (en) * | 2017-10-24 | 2019-04-30 | 深圳感臻科技有限公司 | Smart home mode configuration method, device and equipment |
CN108845503A (en) * | 2018-08-11 | 2018-11-20 | 深圳市百创网络科技有限公司 | The providing method and its system of Intelligent household scene service |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112653604A (en) * | 2020-12-11 | 2021-04-13 | 珠海格力电器股份有限公司 | Scene migration method and system, electronic device and storage medium |
CN112653604B (en) * | 2020-12-11 | 2021-11-23 | 珠海格力电器股份有限公司 | Scene migration method and system, electronic device and storage medium |
CN112947107A (en) * | 2021-03-12 | 2021-06-11 | 青岛海尔科技有限公司 | Configuration method and device for smart home scene and electronic equipment |
CN112947107B (en) * | 2021-03-12 | 2022-09-06 | 青岛海尔科技有限公司 | Configuration method and device for smart home scene and electronic equipment |
CN113487038A (en) * | 2021-06-25 | 2021-10-08 | 青岛海尔科技有限公司 | Scene determination method and device, storage medium and electronic device |
CN113487038B (en) * | 2021-06-25 | 2024-03-22 | 青岛海尔科技有限公司 | Scene determination method and device, storage medium and electronic device |
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