CN114114944A

CN114114944A - Intelligent matching method and system for smart home

Info

Publication number: CN114114944A
Application number: CN202111499102.9A
Authority: CN
Inventors: 陈志明
Original assignee: Changshu Youle Intelligent Technology Co ltd
Current assignee: Changshu Youle Intelligent Technology Co ltd
Priority date: 2021-12-09
Filing date: 2021-12-09
Publication date: 2022-03-01

Abstract

According to the intelligent matching method and system for the smart home, the key interaction item set is obtained by combining with the preliminary screening of the pairing equipment, and then the key interaction item set is matched through the neural network model. Therefore, the smart home callback theme can preliminarily screen the key interaction item set through the pairing equipment, so that the interference of the non-key interaction item set on the neural network model is avoided as much as possible, and the accuracy and the reliability of smart home matching are improved.

Description

Intelligent matching method and system for smart home

Technical Field

The application relates to the technical field of data matching, in particular to an intelligent matching method and system for smart home.

Background

In the actual operation process, the inventor finds that in the intelligent home control process, the problem that information cannot be accurately paired and the like may exist. Therefore, a technical solution is needed to improve the smart home smart matching problem.

Disclosure of Invention

In view of this, the application provides an intelligent matching method and system for smart home.

In a first aspect, an intelligent matching method for smart home is provided, which is applied to an intelligent matching system for smart home, and the method at least includes:

obtaining an intelligent home callback theme to be matched;

obtaining a key interaction project set mined by the paired equipment in the intelligent home callback topic;

determining a first pairing label of the pairing equipment for the key interaction item set, and mining an intelligent home control instruction of the key interaction item set in the intelligent home callback topic according to a neural network model;

determining a first pairing scenario for the set of key interaction items that originates from the neural network model.

In a separately implemented embodiment, the method further comprises:

determining the first matching condition as the matching condition of the intelligent home callback theme, and uploading the matching condition of the intelligent home callback theme;

or acquiring a second pairing label of the pairing equipment for the first pairing condition, and excavating an intelligent home control instruction associated with the first pairing condition according to a neural network model;

determining a second pair case associated with the first pair case that is derived from the neural network model;

and determining the second matching condition as the matching condition of the intelligent home callback theme, and uploading the matching condition of the intelligent home callback theme.

In a separately implemented embodiment, the method further comprises:

obtaining the matching condition of the smart home callback theme to be processed, wherein the matching condition of the smart home callback theme to be processed represents a significant feature set in the smart home callback theme to be processed;

determining a third pairing label of the intelligent home callback subject to be processed by the pairing equipment, and excavating an intelligent home control indication of a significant characteristic set in the intelligent home callback subject to be processed according to a neural network model;

determining a third pair case for the set of saliency features that originates from the neural network model;

and determining the third matching condition as a matching result of the intelligent home callback theme, and uploading the matching result of the intelligent home callback theme.

In an independently implemented embodiment, the obtaining a set of key interaction items mined by a paired device in the smart home callback topic includes: obtaining a key interaction project set mined by a first pairing equipment network in the intelligent home callback topic;

the determining of the third pairing tag of the pairing device for the smart home callback topic to be processed includes mining an intelligent home control indication of a significant feature set in the smart home callback topic to be processed according to a neural network model, including: and determining a third pairing label of the second pairing equipment network for the intelligent home callback topic to be processed, and excavating an intelligent home control indication of a significant characteristic set in the intelligent home callback topic to be processed according to a neural network model.

In an independently implemented embodiment, after obtaining the pairing status of the smart home callback topic to be processed, the method further includes: optimizing the significance characteristic set in the intelligent home callback subject to be processed by combining an intelligent matching network in second pairing equipment;

before determining the third pairing condition as the matching result of the smart home callback topic and uploading the matching result of the smart home callback topic, the method further includes: and optimizing the third pairing condition by combining the intelligent matching network in the second pairing equipment.

In an independently implemented embodiment, on the premise that the step of determining a first pairing tag of the pairing device to the key interaction item set, and mining an intelligent home control indication of a significance feature set in the intelligent home callback topic to be processed according to a neural network model, the method further comprises:

and determining the key interaction project set as the matching condition of the intelligent home callback theme, and uploading the matching condition of the intelligent home callback theme.

In an independently implemented embodiment, the obtaining a set of key interaction items mined by a paired device in the smart home callback topic includes:

and obtaining a key interaction item set mined by the pairing equipment in the local repeated call back events in the intelligent home call back theme, wherein the key interaction item set covers global target call back events and does not cover global non-target call back events.

In a second aspect, a smart home smart matching system is provided, which includes a processor and a memory, which are in communication with each other, and the processor is configured to read a computer program from the memory and execute the computer program, so as to implement the above method.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a flowchart of an intelligent matching method for smart homes provided in an embodiment of the present application.

Fig. 2 is a block diagram of an intelligent matching device for smart homes provided in an embodiment of the present application.

Fig. 3 is an architecture diagram of an intelligent matching system for smart homes according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.

Referring to fig. 1, a smart home intelligent matching method is shown, which may include the technical solutions described in the following steps 100 to 400.

And step 100, obtaining an intelligent household callback theme to be matched.

And 200, acquiring a key interactive item set mined by the paired equipment in the intelligent home callback topic.

Step 300, determining a first pairing tag of the pairing equipment to the key interaction item set, and mining an intelligent home control instruction of the key interaction item set in the intelligent home callback topic according to a neural network model.

Step 400, determining a first pairing scenario for the set of key interaction items that originates from the neural network model.

It is understood that in executing the content described in the above steps 100-400, a set of key interaction items is obtained in conjunction with the preliminary screening of the paired devices, and then the set of key interaction items is subjected to matching processing by the neural network model. Therefore, the smart home callback theme can preliminarily screen the key interaction item set through the pairing equipment, so that the interference of the non-key interaction item set on the neural network model is avoided as much as possible, and the accuracy and the reliability of smart home matching are improved.

Based on the above basis, the following descriptions of step s 11-step s14 can also be included.

And step s11, determining the first matching condition as the matching condition of the smart home callback theme, and uploading the matching condition of the smart home callback theme.

Step s12, or obtaining a second pairing tag of the pairing device for the first pairing situation, and mining a smart home control indication associated with the first pairing situation according to the neural network model.

Step s13 determines a second pair of cases associated with the first pair of cases originating from the neural network model.

And step s14, determining the second matching condition as the matching condition of the smart home callback theme, and uploading the matching condition of the smart home callback theme.

It can be understood that, when the contents described in the above steps s 11-s 14 are executed, by accurately determining the smart home callback topic, the credibility of the pairing situation of uploading the smart home callback topic can be improved.

Based on the above basis, the following descriptions of step s 21-step s24 can also be included.

And step s21, obtaining the matching condition of the smart home callback theme to be processed, wherein the matching condition of the smart home callback theme to be processed represents the significance characteristic set in the smart home callback theme to be processed.

Step s22 is determining a third matching label of the matching device for the smart home callback topic to be processed, and mining an intelligent home control indication of a significant feature set in the smart home callback topic to be processed according to the neural network model.

At step s23, a third pair of cases for the set of salient features is determined that originate from the neural network model.

And step s24, determining the third matching condition as the matching result of the smart home callback theme, and uploading the matching result of the smart home callback theme.

It can be understood that, when the contents described in the above steps s 21-s 24 are executed, the smart home callback topic to be processed is continuously mined, so that the accuracy of uploading the matching result of the smart home callback topic can be improved.

In the embodiment of the present disclosure, when obtaining the key interaction item set mined by the pairing device in the smart home callback topic, there is a problem of mining errors, so that it is difficult to accurately mine the key interaction item set, and in order to improve the above technical problem, the step of obtaining the key interaction item set mined by the pairing device in the smart home callback topic described in step 200 may specifically include the following content described in step 210.

And step 210, obtaining a key interaction item set mined by the first pairing equipment network in the intelligent home callback topic.

It can be understood that, when the content described in the above step 210 is executed, and the key interactive item set mined in the smart home callback topic by the pairing device is obtained, the problem of mining errors is improved, so that the key interactive item set can be accurately mined.

In an embodiment of the present disclosure, when determining that the third paired tag of the smart home callback subject to be processed is determined by the paired device, there is a problem that identification is inaccurate, so that it is difficult to accurately obtain the third paired tag, in order to improve the above technical problem, the step of determining the third paired tag of the smart home callback subject to be processed by the paired device and mining the smart home control indication of the significant feature set in the smart home callback subject to be processed according to the neural network model may specifically include the content described in the following step s 231.

And s231, determining a third pairing label of the second pairing device network for the smart home callback topic to be processed, and excavating a smart home control indication of a significant feature set in the smart home callback topic to be processed according to the neural network model.

It can be understood that, when the content described in the step s231 is executed, when the third pairing tag of the smart home callback subject to be processed is determined by the pairing device, the problem of inaccurate identification is solved, so that the third pairing tag can be accurately obtained.

Based on the above basis, after obtaining the pairing situation of the smart home callback topic to be processed, the following contents described in step s31 may also be included.

And step s31, optimizing the saliency characteristic set in the smart home callback topic to be processed by combining with the smart matching network in the second pairing device.

It will be appreciated that when the above description of step s31 is performed, the significance feature set can be optimized to the greatest extent, so as to reduce the workload of the subsequent work.

Based on the above basis, before determining the third pairing condition as the matching result of the smart home callback topic and uploading the matching result of the smart home callback topic, the following content described in step s51 may be further included.

And step s51, optimizing the third pairing situation by combining the intelligent matching network in the second pairing device.

It can be understood that, when the content described in the above step s51 is executed, the accuracy of optimization is improved through multi-dimensional optimization, so that the workload of subsequent work can be effectively reduced.

Based on the above basis, on the premise that the step of determining the first pairing tag of the pairing device to the key interaction item set, and excavating the smart home control indication step of the significant feature set in the smart home callback topic to be processed according to the neural network model, the following step a1 may be further included.

Step a1, determining the key interaction item set as the matching condition of the smart home callback theme, and uploading the matching condition of the smart home callback theme.

It can be understood that, when the content described in the step a1 is executed, the key interaction item set is analyzed, so that the matching condition accuracy of uploading the smart home callback topic is improved.

In this embodiment, when obtaining the key interactive item set mined by the pairing device in the smart home callback topic, there is a situation that the smart home callback topic is repeated, thereby causing a problem of disordered callback event mining, and in order to improve the above technical problem, the step of obtaining the key interactive item set mined by the pairing device in the smart home callback topic described in step 200 may specifically include the content described in step d 1.

And d1, acquiring a key interaction item set mined by the paired equipment in the local repeated call back events in the intelligent household call back theme, wherein the key interaction item set covers global target call back events and does not cover global non-target call back events.

It can be understood that, when the content described in the step d1 is executed, and the key interaction item set mined in the smart home callback topic by the pairing device is obtained, the situation that the smart home callback topic is repeated is improved, so that the problem of disordered mining of the callback event is avoided.

On the basis, please refer to fig. 2 in combination, an intelligent matching device 200 for smart home is provided, which is applied to an intelligent matching system for smart home, and the device includes:

the theme obtaining module 210 is configured to obtain an intelligent home callback theme to be matched;

the item obtaining module 220 is configured to obtain a key interaction item set mined by the paired devices in the smart home callback topic;

the instruction mining module 230 is configured to determine a first pairing tag of the pairing device for the key interaction item set, and mine an intelligent home control instruction of the key interaction item set in the intelligent home callback topic according to a neural network model;

a case pairing module 240 for determining a first pairing case for the set of key interaction items that originates from the neural network model.

On the basis of the above, please refer to fig. 3, which shows an intelligent matching system 300 for smart homes, including a processor 310 and a memory 320, which are in communication with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program, so as to implement the above method.

On the basis of the above, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed implements the above-described method.

In summary, based on the above scheme, a key interaction item set is obtained by combining with the preliminary screening of the paired devices, and then the matching processing is performed on the key interaction item set through the neural network model. Therefore, the smart home callback theme can preliminarily screen the key interaction item set through the pairing equipment, so that the interference of the non-key interaction item set on the neural network model is avoided as much as possible, and the accuracy and the reliability of smart home matching are improved.

It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).

It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. The intelligent matching method for the smart home is characterized by being applied to an intelligent matching system for the smart home, and at least comprising the following steps:

obtaining an intelligent home callback theme to be matched;

2. The smart home intelligent matching method of claim 1, further comprising:

3. The smart home intelligent matching method of claim 1, further comprising:

4. The smart home intelligent matching method of claim 3, wherein the obtaining of the key interaction item set mined by the pairing device in the smart home callback topic comprises: obtaining a key interaction project set mined by a first pairing equipment network in the intelligent home callback topic;

5. The smart home intelligent matching method of claim 3, wherein after obtaining the pairing status of the smart home callback topic to be processed, the method further comprises: optimizing the significance characteristic set in the intelligent home callback subject to be processed by combining an intelligent matching network in second pairing equipment;

6. The smart-home intelligent matching method of claim 1, wherein on the premise that the step of determining the first pairing tag of the pairing device to the key interaction item set and mining the smart-home control indication of the significance feature set in the smart-home callback topic to be processed according to a neural network model, the method further comprises:

7. The smart home intelligent matching method of claim 1, wherein the obtaining of the key interaction item set mined by the pairing device in the smart home callback topic comprises:

8. An intelligent matching system for smart home, comprising a processor and a memory, which are in communication with each other, wherein the processor is configured to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 7.