CN106980635B - System and method applied to intelligent home convertible data model - Google Patents
System and method applied to intelligent home convertible data model Download PDFInfo
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Abstract
A system and a method applied to a changeable data model of an intelligent home refer to a processing method of data models of processes, functions, equipment and the like of a back-end management platform of the intelligent home, and are particularly applied to personalized and customized services of customers. The system and the method applied to the intelligent home convertible data model comprise a feedback setting step of the data model and an automatic execution flow step of the mark. The feedback setting step of the data model is to enable a user to define an operation interface in a self-defining way, so that the operation interface is changed and is transmitted back to the intelligent home back-end management platform, the intelligent home back-end management platform can also automatically adjust the data model according to the operation behavior of the user, the convenience of the intelligent home back-end management platform is improved, and the marking automatic execution flow step is to enable the user to mark the operation behavior, so that the operation behavior can be automatically executed after the operation behavior is continued, and the intelligent degree is improved.
Description
Technical Field
The invention relates to a system and a method applied to a changeable data model of an intelligent home, in particular to a system and a method applied to system flow, function or equipment control, wherein the data model of a back-end management platform of the intelligent home can be flexibly changed according to the requirements of a user.
Background
Although smart home products have been developed to date, while providing many different services and functions in the market, the products cannot meet all customers due to different ideas and requirements of each family, and manufacturers always want a product to sell many users, but the development and maintenance costs are increased if the manufacturers need to make a custom, especially when the special requirements are not consistent with the original product functions. For example: in the smart home remote control service provided by the manufacturer, the cool air control buttons on the user interface (web page or mobile device APP) have on/off buttons and a plurality of buttons with different degrees, but some users want to be configured like a remote controller, and only need to turn on/off, increase the temperature and decrease the temperature buttons. In addition, even if manufacturers wring out the brain juice to design friendly operation interfaces, the operation interfaces are still too complicated for some users, and the users are easy to forget after learning, so that the operation needs to be replaced by the help of relatives and friends. For example: after logging in, the smart home website service usually lists the main menu to provide the user with remote control, situation, scheduling or watching the camera, and it is often unknown for the elderly to have many options. Since the products developed by the prior art all target users with a relatively high level of knowledge, users having difficulties in different groups or limbs are not fully considered, so that the usability of the smart home is not high, and users who really need to be cared for cannot be benefited.
Therefore, the above conventional methods still have poor system availability, are not convenient and easy to be widely applied, and need to be improved.
In view of the drawbacks derived from the conventional approaches, the inventors of the present invention have earnestly studied and innovated, and after many years of research and study with a spice, have succeeded in developing a system and a method for applying to a smart home transformable data model.
Disclosure of Invention
The invention mainly aims to provide a system and a method applied to a changeable data model of an intelligent home, which means that a back-end management platform of the intelligent home can change the data model according to the requirements of a user, so that an operation interface and a processing flow of a client can be flexibly changed, and personalized requirements are further met.
The invention aims to reduce the burden of the intelligent home back-end management platform, and when the service platform can clearly screen out the functions required by the user, the user can reduce unnecessary selections, thereby reducing the processing work of the intelligent home back-end management platform.
The above object is achieved by a system for a convertible data model of a smart home, comprising:
an intelligent home back-end management platform is used for generating a data model, allowing at least one user terminal to log in, downloading the data model to the user terminal for customizing the operation interface and functions of the data model by a user, and mainly comprises:
the data model processing module is responsible for analyzing and processing the data model and storing an operation interface and functions of a user-defined data model into a database through a database access module;
a data model generating module, which obtains the operation interface and function of user-defined data model from the database through the database access module to generate data model and transmits it to the user terminal through a data model intermediate module, or generates data model according to the function option record currently used by the user transmitted by the user terminal;
the user terminal includes:
the data model analysis module is used for analyzing the data model transmitted by the data model generation module and converting the data model into a graphical interface for selection by a user;
the data model setting module is used for converting a data model into another data model according to the selection of a user and transmitting the data model back to the intelligent home back-end management platform;
and the program marking module is used for marking the currently used function options for the user and transmitting the currently used function option record of the user to the intelligent home back-end management platform.
The invention provides a method applied to a convertible data model of an intelligent home, which comprises the following steps:
feedback setting step of data model: the method is used for a user to customize an operation interface and a function for a user terminal or a page of equipment, and a new data model is generated according to the customized operation interface and function and is transmitted back to an intelligent home back-end management platform, and the user-defined operation interface and function are applied after the user reloads the user terminal function or the page of the equipment;
the marking automatically executes the flow steps: the method is used for a user to mark the operation behavior of the user at a user terminal, the marked operation behavior is transmitted back to the intelligent home back-end management platform by the user terminal, the intelligent home back-end management platform generates a new flow data model according to the marked operation behavior, and the user can execute the new flow data model after logging in the intelligent home back-end management platform again.
Wherein the data model refers to a structured description of a process, function, or device.
Wherein, the feedback setting step of the data model means that a user can customize the data model of the operation interface and the function, and the intelligent home back-end management platform can also reduce the data which are not used in the data model of the user according to the operation behavior of the user, and the flow comprises:
the method comprises the following steps: the user terminal logs in the intelligent home back-end management platform, and automatically downloads the data model package from the intelligent home back-end management platform according to the user account;
step two: the user terminal downloads a flow, a function and equipment related data model or a user-defined data model from the intelligent home back-end management platform according to the user account, and if the user-defined data model does not exist, the data model is reduced according to the user using behavior;
step three: analyzing the data model by using a data model analysis module and converting the data model into a graphical interface for a user to click a required function or equipment option;
step four: the intelligent home back-end management platform automatically downloads the data model template according to the function or equipment option selected by the user for the user to select;
step five: and the data model setting module converts the data model template selected by the user into a new data model and transmits the new data model back to the intelligent home back-end management platform, and the new setting is applied when the page of the function or the equipment is reloaded or the previously reduced data model is replied.
The step of marking the automatic execution flow means that the user can mark the operation behavior of the user to change a flow data model, and then the marked behavior can be automatically executed when the user logs in the intelligent home service platform, wherein the flow comprises the following steps:
the method comprises the following steps: the user terminal logs in the intelligent home back-end management platform, and returns data of the mark setting start to the intelligent home back-end management platform after clicking a button of the mark setting start on a function page to be marked on the intelligent home back-end management platform;
step two: after receiving the data marked with the set opening, the intelligent home back-end management platform returns a confirmation success message to the user terminal; step three: the user terminal starts to execute the function options of the intelligent home back-end management platform, and the intelligent home back-end management platform records the function options executed by the user terminal;
step four: after the user terminal executes the function option, setting a mark delay time and closing the mark setting, returning a message set by the closing mark to the intelligent home back-end management platform, generating a new process data model by the data model generation module after the intelligent home back-end management platform receives the message, and returning a confirmation success message to the user terminal, wherein if the mark setting is not pressed for closing and the intelligent home back-end management platform does not return the confirmation success message, the mark is invalid;
step five: and if the mark is continued, repeating the step one, if the mark is not continued, ending, and applying a new flow data model after logging in again.
The intelligent home back-end management platform is a computer server with data storage capacity and data processing capacity, and can provide website Services and Web Services for a browser or an APP of a mobile device of a user terminal.
The user terminal is a computer, a mobile phone or a tablet, and can log in the smart home back-end management platform through a browser or an APP.
The system and the method are developed through a back-end management platform of the intelligent home, and comprise a feedback setting step of the data model and an automatic execution flow step of the mark. The feedback setting step of the data model means that a user can change an operation interface according to the requirement of the user, the data model represented by the changed interface is uploaded and fed back to the intelligent home back-end management platform, the operation interface of the user is a self-defined interface, and if the user never defines the interface, the intelligent home back-end management platform can reduce the data model of the function with low use frequency so as to optimize the user operation interface and reduce the load of the platform;
the step of automatically executing the mark is that the user can mark the mark on an operation interface of the website service or the mobile device APP, and the function represented by the mark can be automatically executed when the user logs in the website or the APP in the future, so that the effect of rapidness and convenience is achieved.
Drawings
FIG. 1 is a schematic diagram of a system for a smart home convertible data model according to the present invention;
FIG. 2 is a diagram of a functional and device data model according to the present invention;
FIG. 3 is a flowchart of the feedback setting procedure of the data model according to the present invention;
FIG. 4 is a flow data model diagram of the steps of the tagged auto-execute flow of the present invention.
Description of the symbols:
1 Intelligent household rear management platform
11 data model generation module
12 data model processing module
13 data model intermediary module
14 database access module
2 user terminal
21 user terminal a
211 data model analysis module
212 data model setting module
213 program marking module
22 user terminal B
221 data model analysis module
222 data model setting module
223 program marking module
3 function and device data model
31 functional data model example of Main Page
Functional data model paradigm for 32 main pages
33 data model paradigm for device
34 data model paradigm for plant
5 flow data model
51 flow data model paradigm
52 Process data model paradigm
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a schematic diagram of a system architecture of a system and a method for a convertible data model of an intelligent home according to the present invention, which mainly includes the following components:
an intelligent home back-end management platform 1 has the processing capability of controlling devices in a user home and the capability of providing an operation interface for the user to carry out remote control and data model processing. The intelligent home back-end management platform 1 comprises a data model generation module 11, a data model processing module 12, a data model mediation module 13 and a database access module 14. The data model generation module 11 mainly obtains the user information from the database through the database access module 14, generates the data model after obtaining the user information, and transmits the data model to the user terminal 2 through the data model mediation module 13. The data model processing module 12 is mainly responsible for parsing and processing the received data model packets, and storing the processing results to the database through the database access module 14. The data model mediation module 13 is mainly responsible for interfacing the smart home backend management platform 1 with the user terminal 2, and transmitting and receiving data through a network.
A user terminal 2, which refers to a terminal device such as a computer, a mobile phone, or a tablet, can use a browser to use a website service of the smart home, and can also log in a smart home backend management platform by using an APP, for example: 21 is a user terminal A, a Chrome browser is used for using website services, 22 is a user terminal B, and an iPhone mobile phone is used for downloading APP of an intelligent home. The user terminal a 21 includes a data model analysis module 211, a data model setting module 212 and a program marking module 213 after logging in, and the user terminal B22 also includes a data model analysis module 221, a data model setting module 222 and a program marking module 223. The data model parsing modules 211 and 221 are mainly responsible for parsing the data model and converting the data model into a graphical interface, for example: the client language javascript or the server program language JSP parses the data model, converts the data model into HTML grammar, so that the browser of the user terminal can display a graphical interface, and the data model setting modules 212 and 222 are mainly responsible for converting the data model into another data model and transmitting the data model back to the smart home backend management platform 1, for example: after the user sets the data model, the client language javascript or the server program language JSP is converted into a model in the JSON format according to the set model, and the converted model is transmitted back to the smart home backend management platform 1. The program tagging modules 213 and 223 are mainly responsible for tagging functions currently used by the user, and also store current operation information and transmit the current operation information back to the smart home backend management platform 1.
Please refer to fig. two, which is a functional and device data model diagram of a system and method for intelligent home convertible data model according to the present invention. As can be seen from the figure, the data model 3 is a structured description, which can be in XML or JSON format, the data model 3 in the figure is an example of JSON format, wherein 31 is the data model represented by the Main page of the user terminal 2 after the user terminal logs in, wherein the UserID represents the unique identifier of the user, the value is testuser1, the ModelName represents the Name of the data model, the ModelName represents the data model of the Main page because the value is Main _ Menu, the Time represents the Time for the data model generation module 11 to generate the data model, the value is 2015-07-1714: 32:22:123, the format is yyyyyy-DD HH: MM: ss: fff, the Layout represents the function to be presented by the user operation screen, the function may be represented by more than one item, and is represented by an array, wherein the Name of the Name table function, Url represents the link page position of the function, the three functions in the array, respectively, and the Devices _ Control shares three items, Schedule and IPCAM, representing Device/Index, Schedule/Index and IPCAM/Index, and its location is Device _ Control in the same level as the Layout label, and it contains Device array, list of Device controlled by table, only Device whose Name is AirConditioner and whose Desc is described as livingmrom, and Device _ Control in the same level as the Layout label, and table scheduling function, and it contains scheduling array, which is scheduling list, and 2 existing schedules, one is Schedule whose Name is 9oclock, and whose Value is 9, and the other is Schedule whose Value is 11oclock, and whose Value is 11. From the data model 31, it can be seen that the home page has device Control, scheduling and network monitoring functions, and if there is more data in the data model, the home page can display more functions and information, and conversely, if there is less data in the data model, the displayed functions and information are also reduced, such as the data model 32, without array data of Devices _ Control and Schedule. The UserID of the data model 33 is testuser1, the ModelName is AirConditioner Control, the table air conditioning Control data model, the Time Value is 2015-07-1714:42: 333, the Status _ Value is the current device Status, the table power is turned on or off and is 0, the temperature _ Value is the current set temperature and is 27 degrees, the Layout of the air conditioning shows the user operation screen, the number of the included groups is 4, so 4 buttons are provided, the Name is the button Name, which can be used to distinguish the power button or the temperature button, the Desc shows the word description on the button, the SValue shows the power state Value of the button, the temperature Value of the TValue button, and the air conditioning Control data model 33 can know that the air conditioning Control data model has: power _ Button1 and Power _ Button2 indicate Power on and Power off, the setting values are 100 and 0 respectively, Temp _ AddButton1 indicates a Button for temperature increase, the value is +1 indicates 1 degree for temperature increase per press, and Temp _ AddButton2 indicates a Button for temperature decrease, the value is-1 indicates 1 degree for temperature decrease per press. The UserID of the data model 34 is testuser1, the ModelName has an AirConditioner _ Control value, and is also a data model for air conditioning Control, the data model 33 and the data model 34 have different configurations in Layout within Layout except Time, so that the data model 33 and the data model 34 are different, Power _ Button1 and Power _ Button2 indicate the Power off and on, the setting values are 100 and 0, respectively, but the Desc value is opposite to the data model 33, which is mainly caused by the fact that some users consider that the Button pattern should be concave when pressing the Button, but some users consider that the Button pattern should be convex to be obvious, Temp _ Button1, Temp _ Button2Temp _ Button3 and Temp _ Button4 respectively represent temperatures 26, 27, 28 and 29 degrees, the table can directly set the temperature, and the users can select the data model 33 or the data model 33 according to the habit or demand of the air conditioning Control.
Please refer to fig. three, which is a flowchart illustrating a feedback setting procedure of a data model applied to a system and method for a convertible data model of a smart home according to the present invention. As can be seen from the figure, the steps of setting different data models by the user and automatically reducing the data models are as follows:
the method comprises the following steps: a user logs in the smart home backend management platform 401 by using a browser or a mobile device APP;
step two: automatically downloading a flow, function and equipment related data model 402 from a smart home back-end management platform according to a user account, if the user does not have a self-defined data model, reducing the data model by the data model generation module 11 according to the use behavior of the user, for example, the user does not operate an equipment control and scheduling function for 2 weeks, so that the data model generation module 11 changes the data model 31 of the user into 32;
step three: the user terminal analyzes the data model packet after receiving the packet, and converts the analyzed data model into a graphical screen 403, for example: when the homepage is carried out, the data model 31 is analyzed, so that the operation picture has graphical function options of equipment control, scheduling and network monitoring;
step four: a layout page 404 for selecting a function or device;
step five: automatically downloading a data model template 405 from the smart home backend management platform according to the selected function or equipment option, wherein the template is also provided for the user to select by a graphical interface;
step six: immediately after the user has selected, a new flow data model 406 is created for all settings, for example: if the layout of cold air control is changed from a mode of one button corresponding to one temperature to a button for increasing and decreasing temperature, the data model 34 is converted into the data model 33, or the data model which is automatically reduced previously wants to be recovered, and the setting can be, for example: the user has previously changed to data model 32 because the equipment control and scheduling functions have not been operated for 2 weeks, and data model 31 can be set as such if the user wants to reply;
step seven: the generated data model is transmitted back to the smart home back-end management platform 407, if the setting is required to be continued 408, the fourth step is repeated, if the setting is not continued 409 is ended, and when 402 is executed again, the user terminal applies a new data model;
please refer to fig. four, which is a flowchart data model diagram of the automatic execution flow steps marked by the system and method for intelligent home convertible data model according to the present invention. The marking process means that the user informs the smart home back-end management platform that the function needs to be automatically executed. It can be seen from the figure that the process data model 51 is an example used for marking the automatic execution of the process steps, after logging in, the process data model is downloaded to the ue before entering the home page, and after the ue parses its packet, it determines which program or function page to execute, such as the process data model 51, whose ModelName is Procedure _ List and Time is 2015-07-1714:30:22:123, wherein the Procedure tag table is represented by an array because there are multiple execution programs, and currently there are only 1 array, whose Name is Main _ Menu and Url is Main/Index, and the table will execute the home page, whose location is in the directory of the Main/Index, and will stay in the home page because there are no other programs after entering the home page. If the user sets the flag to automatically execute the flow function, the execution flow can be changed, for example, the flow data model 52, the Procedure volume contains 2 arrays, which are Devices _ Control and IPCAM, so that the function pages are sequentially executed, the positions of the function pages are in the Device/Index and IPCAM/Index directories, respectively, the Device _ Control tag in the same layer as the Procedure contains the execution list of Device Control, because the dimension of the array is 3, 3 jobs are sequentially executed, the Name of the 1 st job is Light1, the Action is SValue, the Value of Value is 100, the Delay is 1000, the Action of table Light1 is on, the 2 nd job is executed after 1000 ms, the Name of the 2 nd job is AirConditioner, the Action is SValue, the Value of the level is 100, the Delay is 1000, the Action of the cold air table is on, the execution of the 3 rd job after 1000 ms, the 3 rd job is AirConditioner, the Value of the temperature of the TValue is 26, after every 1000 milliseconds, the following work is executed, the next work is located in the label of the IPCAM, the Name of the work is Icpam 1, the Action is RealTime, Url is IPcam/Index/real time, Delay is 0, the Action of the table network camera is monitored in real time, and the table network camera stays at the place because no other work exists. The process data model 52 applies the following scenarios: when the user goes home, the user terminal is used for logging in the rear end management platform of the intelligent home, namely, the lamp is automatically turned on, the cold air is turned on and is set to be 26 degrees, and finally the network camera is turned on to determine whether suspicious people exist. For the old or the people with limb difficulties, the flow function can be automatically executed only by setting the mark by relatives and friends for the first time, and then the marked function can be automatically executed after the people log in the flow function by self.
Please refer to fig. v, which is a flowchart illustrating steps of an automatic execution flow of a label applied to a system and method for a convertible data model of a smart home according to the present invention. As can be seen from the figure, the steps of the user setting the marking process are as follows:
the method comprises the following steps: click on the function page 601 to be marked, for example: to mark the cold air control function, entering the equipment control page;
step two: after entering the clicked function page, pressing a button 602 for setting the mark to be opened, at this time, returning a message for opening the mark to the smart home back-end management platform, and after receiving the message, returning a message for confirming success by the smart home back-end management platform;
step three: after the flag is turned on, the function options 603 are executed, for example: the cold air power supply is turned on;
step four: after the function option is executed, the smart home back-end management platform records the behavior of the smart home back-end management platform, if the mark is to be closed, the mark is closed 604, if the mark is not closed or cannot be closed due to other factors, the marking is finished 607, and the marking program of the pen is incomplete and is not adopted;
step five: when the mark is to be closed, a user sets Delay time, then presses a mark setting closing button 605, at the moment, the data of the mark closing is returned to the intelligent home back-end management platform, after the intelligent home back-end management platform receives the message, a new process data model is generated, a confirmation success message is returned, and the setting of the table mark is successful;
step six: if the marking is to be continued, repeating the step two 606, otherwise ending 607, and after logging in the smart home back-end management platform again, applying the set process data model;
compared with other prior art, the system and the method applied to the intelligent home convertible data model have the following advantages:
the invention relates to a system and a method applied to a changeable data model of an intelligent home, wherein the feedback setting step of the data model can lead a user to self-define the data model to change an operation interface, intelligently reduce unnecessary data models according to the operation behavior of the user, improve the usability of products and reduce the burden of the system.
The invention relates to a system and a method applied to a changeable data model of an intelligent home, wherein the step of marking the automatic execution flow can lead a user to mark the flow to be automatically executed, reduce the operation complexity of product functions and improve the convenience of intimate care.
The detailed description is specific to one possible embodiment of the invention, but the embodiment is not intended to limit the scope of the invention, and equivalent implementations or modifications that do not depart from the technical spirit of the invention are intended to be included within the scope of the invention.
In conclusion, the present invention is not only innovative in technical idea but also capable of enhancing the above-mentioned effects compared with the existing articles, and is applied by following the legal invention patent elements fully meeting the novelty and progress.
Claims (7)
1. A system for application to a smart home mutable data model, comprising:
an intelligent home back-end management platform is used for generating a data model, allowing at least one user terminal to log in, downloading the data model to the user terminal for customizing the operation interface and functions of the data model by a user, and comprises the following steps:
the data model processing module is responsible for analyzing and processing the data model and storing an operation interface and functions of a user-defined data model into a database through a database access module;
a data model generating module, which obtains the operation interface and function of user-defined data model from the database through the database access module to generate data model and transmits it to the user terminal through a data model intermediate module, or generates data model according to the function option record currently used by the user transmitted by the user terminal;
the user terminal includes:
the data model analysis module is used for analyzing the data model transmitted by the data model generation module and converting the data model into a graphical interface for selection by a user;
the data model setting module is used for converting a data model into another data model according to the selection of a user and transmitting the data model back to the intelligent home back-end management platform;
and the program marking module is used for marking the currently used function options for the user and transmitting the currently used function option record of the user to the intelligent home back-end management platform.
2. A method applied to a smart home mutable data model is characterized by comprising the following steps:
feedback setting step of data model: the method is used for a user to customize an operation interface and a function for a user terminal or a page of equipment, and a new data model is generated according to the customized operation interface and function and is transmitted back to an intelligent home back-end management platform, and the user-defined operation interface and function are applied after the user reloads the user terminal function or the page of the equipment;
the marking automatically executes the flow steps: the method is used for a user to mark the operation behavior of the user at a user terminal, the marked operation behavior is transmitted back to the intelligent home back-end management platform by the user terminal, the intelligent home back-end management platform generates a new flow data model according to the marked operation behavior, and the user can execute the new flow data model after logging in the intelligent home back-end management platform again.
3. The method as claimed in claim 2, wherein the data model is a structured description of a process, a function or a device.
4. The method as claimed in claim 2, wherein the step of setting the feedback of the data model is to allow the user to customize the data model of the operation interface and function, and the smart home backend management platform can also reduce the data that is not used in the data model of the user according to the operation behavior of the user, and the process includes:
the method comprises the following steps: the user terminal logs in the intelligent home back-end management platform, and automatically downloads the data model package from the intelligent home back-end management platform according to the user account;
step two: the user terminal downloads a flow, a function and equipment related data model or a user-defined data model from the intelligent home back-end management platform according to the user account, and if the user-defined data model does not exist, the data model is reduced according to the user using behavior;
step three: analyzing the data model by using a data model analysis module and converting the data model into a graphical interface for a user to click a required function or equipment option;
step four: the intelligent home back-end management platform automatically downloads the data model template according to the function or equipment option selected by the user for the user to select;
step five: and the data model setting module converts the data model template selected by the user into a new data model and transmits the new data model back to the intelligent home back-end management platform, and the new setting is applied when the page of the function or the equipment is reloaded or the previously reduced data model is replied.
5. The method as claimed in claim 2, wherein the step of marking the automatically executed process is that the user marks the operation behavior to change the process data model, and then the marked behavior is automatically executed when the user logs in the intelligent home service platform, and the process comprises:
the method comprises the following steps: the user terminal logs in the intelligent home back-end management platform, and returns data of the mark setting start to the intelligent home back-end management platform after clicking a button of the mark setting start on a function page to be marked on the intelligent home back-end management platform;
step two: after receiving the data marked with the set opening, the intelligent home back-end management platform returns a confirmation success message to the user terminal; step three: the user terminal starts to execute the function options of the intelligent home back-end management platform, and the intelligent home back-end management platform records the function options executed by the user terminal;
step four: after the user terminal executes the function option, setting a mark delay time and closing the mark setting, returning a message set by the closing mark to the intelligent home back-end management platform, generating a new process data model by the data model generation module after the intelligent home back-end management platform receives the message, and returning a confirmation success message to the user terminal, wherein if the mark setting is not pressed for closing and the intelligent home back-end management platform does not return the confirmation success message, the mark is invalid;
step five: and if the mark is continued, repeating the step one, if the mark is not continued, ending, and applying a new flow data model after logging in again.
6. The method as claimed in claim 2, wherein the smart home backend management platform is a computer server with data storage capability and data processing capability, and provides Web Services and Web Services to a browser of the user terminal or a mobile device APP.
7. The method as claimed in claim 2, wherein the user terminal is a computer, a mobile phone or a tablet, and the user terminal can log in to the smart home backend management platform through a browser or an APP.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW105101332 | 2016-01-18 | ||
| TW105101332A TWI569228B (en) | 2016-01-18 | 2016-01-18 | System and Method for Transformable Data Model Applied to Wisdom Family |
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| Publication Number | Publication Date |
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| CN106980635A CN106980635A (en) | 2017-07-25 |
| CN106980635B true CN106980635B (en) | 2020-08-14 |
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| CN201610230011.8A Expired - Fee Related CN106980635B (en) | 2016-01-18 | 2016-04-14 | System and method applied to intelligent home convertible data model |
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| CN (1) | CN106980635B (en) |
| TW (1) | TWI569228B (en) |
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Also Published As
| Publication number | Publication date |
|---|---|
| TWI569228B (en) | 2017-02-01 |
| TW201727573A (en) | 2017-08-01 |
| CN106980635A (en) | 2017-07-25 |
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