TWI569228B - System and Method for Transformable Data Model Applied to Wisdom Family - Google Patents

Description

System and method for transformable data model applied to smart home

The invention relates to a system and a method for applying to a smart home convertible data model, in particular to a smart home back-end management platform data model that can be flexibly changed according to user requirements, and applied to system flow, function or device control. .

Since the development of smart home products, there are many different services and functions available on the market. However, because each family's ideas and needs are different, their products are always unable to satisfy all customers. For manufacturers, they always want a product to sell. Many users, but if they need to be tailor-made, especially when they are not in line with the original product function, their development and maintenance costs will increase. For example, the smart home remote control service provided by the manufacturer, the air-conditioning control button on the user interface (webpage or mobile device APP) has buttons for opening, closing and many different degrees, but some users want to be configured like the remote controller. Just open, close, warm up and cool down the button. In addition, even if manufacturers rack their brains to design a friendly interface, for some users, it is still too complicated, and it is easy to forget when learning. Many of them still need friends and relatives to help. For example, the Smart Home website service usually lists the main menu after login to provide users with remote control, context, scheduling or viewing of the camera. For the elderly, many options are often overwhelmed. Products developed by the above-mentioned prior art are targeted at users with a relatively high level of knowledge, and users who have difficulty in different ethnic groups or limbs are not fully considered, resulting in low availability of smart homes and inability to benefit users who really need to be cared for.

It can be seen that the above-mentioned conventional methods still have poor system availability, which is not a convenient and widely applicable design and needs to be improved.

In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally successfully developed a system and method for applying the smart home transformable data model.

The main object of the present invention is to provide a system and method for a smart home convertible data model, which means that the smart home back-end management platform can transform the data model according to user requirements, so that the user interface and processing flow can be performed. Flexible changes to better meet individual needs.

The second objective of the present invention is to reduce the burden on the smart home back-end management platform. When the service platform can clearly filter out the functions required by the user, the user can reduce unnecessary choices, thereby reducing the smart home back-end management platform. Processing work.

The invention provides a system and method for applying to a smart home convertible data model, which is developed by a smart home back-end management platform, which includes a data model feedback setting step and a mark automatic execution flow step. The data model feedback setting step means that the user can change the operation interface according to his own needs, and the data model represented by the changed interface is uploaded and fed back to the smart home back-end management platform, and the user interface of the user is a customized interface. If the user has never customized the interface, the smart home back-end management platform will reduce the data model of the function with low frequency to optimize the user interface and reduce the burden on the platform;

The process of marking the automatic execution process means that the user can mark the mark on the operation interface of the website service or the mobile device APP. When the user logs in to the website or the APP in the future, the function represented by the mark is automatically executed, and the effect is quick and convenient.

1‧‧‧Smart Home Backend Management Platform

11‧‧‧Data model generation module

12‧‧‧Data Model Processing Module

13‧‧‧Data Model Intermediary Module

14‧‧‧Data Inventory 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 equipment data model

31‧‧‧Example of the functional data model on the main page

32‧‧‧Example of the functional data model on the main page

33‧‧‧ Examples of equipment data models

34‧‧‧ Examples of equipment data models

5‧‧‧Process data model

51‧‧‧Example of process data model

52‧‧‧Example of process data model

1 is a schematic structural diagram of a system for applying a smart home convertible data model according to the present invention; FIG. 2 is a schematic diagram of a function and device data model of the present invention; FIG. 3 is a flow chart of a feedback setting step of a data model according to the present invention; The process data model diagram of the automatic execution process step of marking the invention.

Please refer to FIG. 1 , which is a schematic diagram of a system architecture of a system and method for a smart home convertible data model according to the present invention. The main components include: a smart home back-end management platform 1 , which is provided with a device for controlling a user's home. The processing capability and the operation interface provide the user with remote control and data model processing capabilities. The smart home back-end management platform 1 includes a data model generation module 11, a data model processing module 12, a data model mediation module 13, and a data inventory acquisition module 14. The data model generation module 11 obtains the user information from the database through the data inventory retrieval module 14. After the acquisition, the data model is generated and transmitted 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 packet, and storing the processing result through the data inventory taking module 14 to the database. The data model mediation module 13 is mainly responsible for the smart home back-end management platform 1 interfacing with the user terminal 2 to transmit and receive data through the network.

A user terminal 2 refers to a terminal device such as a computer, a mobile phone or a tablet. The terminal can use a smart home website service by a browser, and can also log in to a smart home back-end management platform by using an APP, for example, 21 is a user terminal A, Chrome uses the website service, 22 is the user terminal B, and uses the iPhone to download the smart home app. After the user terminal A logs in, the data model analysis module 211, the data model setting module 212, and the program marking module 213 are included. The user terminal B also includes the data model analysis module 221 and the data model setting module 222. Program tag module 223. The data model analysis modules 211 and 221 are mainly responsible for parsing the data model and converting into a graphical interface, for example, a client-side language javascript or a server-side programming language JSP parsing data model, and converting into a HTML syntax, so that the browser of the user terminal can Displaying the graphical interface, the data model setting modules 212 and 222 are mainly responsible for converting into other data models and returning them to the smart home back-end management platform 1, for example, when the user sets the data model, the client-side language javascript or server The end-program language JSP is converted into a JSON format model according to the set model, and then converted back to the smart home back-end management platform 1. The program tag modules 213 and 223 are mainly responsible for marking the functions currently used by the user, and also storing the current operation information and transmitting them to the smart home back-end management platform 1.

Please refer to FIG. 2 , which is a schematic diagram of a function and a device data model of a system and method applied to a smart home transformable 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 the format of XML or JSON. The data model 3 in the figure is an example of the JSON format, wherein 31 is the main page represented by the user terminal 2 after login. A data model, wherein the UserID represents a unique identifier of the user, and the value is testuser1, the ModelName represents the name of the data model, and the value is Main_Menu, so the data model of the main page represents the data model generation module. 11 The time to generate this data model, the value is 2015-07-17 14:32:22:123, the format is yyyy-MM-DD HH:mm:ss:fff, the Layout represents the function to be presented by the user operation screen. Due to function may not only be one Item, so it is represented by an array. The name of the Name table function, Url represents the location of the link page of the function. There are three functions in the array, namely Devices_Control, Schedule and IPCAM, which represent device control, scheduling and network monitoring. The devices are located in the same directory as Device/Index, Schedule/Index, and IPCam/Index. Devices with the same level as the Layout tag have Devices_Control, which contains the device array, and the list of devices controlled by the device. Only the device named AirConditioner has its Desc description. For LivingRoom, there is a Schedule with the same level as the Layout tab. The table scheduling function includes a schedule array. It is a schedule list. There are 2 schedules, and the schedule is 9 oclock. The value is 9. The other is a 11 oclock schedule with a value of 11. As can be seen from the data model 31, the main page has device control, scheduling and network monitoring functions. If there is more data in the data model, the main page can display more functions and information, on the contrary, If there is less information in the data model, the displayed functions and information will be streamlined, such as data model 32, without the array data of Devices_Control and Schedule. The UserID of the data model 33 is testuserl, the value of ModelName is AirConditioner_Control, the data model of the table air-conditioning control, and the Time value is 2015-07-17 14:42:42:333, and the Status_Value is the current device state, and the table power is turned on or off. The value is 0, the temperature_Value is the current set temperature, and its value is 27 degrees. The user's operation screen of the air-conditioning Layout table has 4 arrays, so there are 4 buttons, where Name is the button name, which can be used to distinguish The power button or temperature button, the Desc table displays the typeface description on the button, the SValue table shows the power state value of the button, and the temperature value of the TValue table button. From this data model 33, the air conditioner has the following: Power_Button1, Power_Button2 table power on and off The set value is 100 and 0 respectively, the Temp_AddButton1 table temperature increase button, the value is +1 table, each time the temperature is increased by 1 degree, the Temp_AddButton2 table temperature is lowered, the value is -1 table, each time the temperature is lowered 1 degree. The UserID of the data model 34 is testuser1, and the value of the ModelName is AirConditioner_Control, which is also the data model of the air-conditioning control. The data model 33 and the data model 34 are different except for the Time. The configuration in the Layout is different, so that the data model 33 is different from the data model 34. The Power_Button1 and Power_Button2 table powers are turned off and on, and the set values are 100 and 0, respectively, but the Desc value is opposite to the data model 33. The main reason for this is that some users think that the button style should be recessed when the button is pressed, but some users think that it should be convex. The Temp_Button1, Temp_Button2 Temp_Button3 and Temp_Button4 represent the temperature of 26, 27, 28, 29 degrees, respectively. By pressing this button, the representative temperature can be directly set, and the user can select the data model 33 or the data model 34 according to the habit or requirement in the interface for controlling the air-conditioning.

Please refer to FIG. 3 , which is a flowchart of a feedback setting step of a data model of a system and method applied to a smart home transformable data model according to the present invention. As can be seen from the figure, the steps for the user to set different data models and automatically reduce the data model are as follows: Step 1: The user uses the browser or the mobile device APP to log in to the smart home back-end management platform 401; Step 2: automatically from the smart home according to the user account The back-end management platform downloads the process, function, and device-related data model 402. If the user does not have a custom data model, the data model generation module 11 reduces the data model according to the user's usage behavior, for example, the user does not operate for 2 weeks. After the device control and scheduling function, the data model generation module 11 changes the user's data model 31 to 32; Step 3: After receiving the data model packet, the user terminal performs the parsing of the packet, and converts the parsed data model into The graphical screen 403, for example, analyzes the data model 31 when the main page is performed, so that the operation screen has the graphical function options of device control, scheduling, and network monitoring; and step 4: select the function or device layout page. 404; Step 5: Automatically manage from the smart home backend according to the selected function or device option Taiwan Download the sample data model 405 version, the version is also like a graphical interface for users to choose Step 6: Immediately after the user selects, all the settings are generated into a new process data model 406, for example: changing the layout of the air-conditioning control, if a temperature is changed to a button for warming and cooling by a button corresponding to a temperature, The data model 33 is converted into the data model 33, or the data model that was previously automatically reduced wants to reply, and can also be set here. For example, the user has previously changed the device control and scheduling function for 2 weeks. Model 32, if you want to reply to the data model 31, you can set it here; Step 7: The generated data model is sent back to the smart home back-end management platform 407. If you need to continue setting 408, repeat step 4, if you don't continue setting, end 409. When the 402 is executed again, the user terminal applies a new data model; see FIG. 4, which is a flow data model diagram of the automatic execution process step of the system and method applied to the smart home convertible data model of the present invention. . The tagging process means that the user informs the smart home back-end management platform that the function needs to be performed automatically. As can be seen from the figure, the process data model 51 is an example used by the tag automatic execution process step. After logging in, the process data model is downloaded to the user terminal before entering the home page, and the user terminal determines which program or function to execute after parsing the packet. The page, such as the process data model 51, has a ModelName value of Procedure_List, and a Time value of 2015-07-17 14:30:22:123, wherein the Procedure tag table execution program is represented by an array because there are multiple execution programs. There is only one array whose Name is Main_Menu and Url is Main/Index. The table will execute the main page, its position is in the Main/Index directory, and after entering the main page, it will stay on the main page because there is no other program. If the user sets the tag to automatically execute the process function, the execution flow can be changed. For example, the process data model 52, the Procedure tag contains two arrays, namely Devices_Control and IPCAM, so the function pages are executed in sequence, respectively. Index and IPCam/Index directory, the Devices_Control tag of the same level as the Procedure contains the device control execution list. Since the array dimension is 3, 3 jobs will be executed in sequence. The first job has the name Light1 and the Action is SValue, Value value is 100, Delay is 1000, the action of the table light 1 is on, and the second work is performed after 1000 milliseconds. The second item has the Name AirConditioner, the Action is SValue, the Value value is 100, and the Delay is 1000, the action of the cold air is turned on, and the third work is performed after 1000 milliseconds. The third job has the Name AirConditioner, the Action is TValue, the Value is 26, the Delay is 1000, and the air-conditioning action is set to 26 degrees. After 1000 milliseconds, the following work is performed. The next work is located in the IPCAM tag. Its Name is Ipcam1, Action is RealTime, and Url is IPCam/Index/realtime, Dela. y is 0, the action of the watch network camera is real-time monitoring, so there is no other work, so stay here. The process data model 52 is applicable to the situation: when going home, as long as the user terminal is used to log in to the smart home back-end management platform, the light is automatically turned on and the air is turned on and set to 26 degrees, and finally the network camera is turned on whether there is a suspicious person. For those who have difficulty in the elderly or the body, the first time they are handed over to the relatives and friends to set the mark to automatically execute the process function, and then automatically log in after the user logs in.

Please refer to FIG. 5 , which is a flow chart of the steps of the automatic execution process of the system and method applied to the smart home transformable data model according to the present invention. As can be seen from the figure, the steps of the user setting the marking process are as follows: Step 1: Click the function page 601 to be marked, for example, to mark the air-conditioning control function, so enter the device control page; Step 2: After entering the function page for clicking, Press the button to open the button 602. At this time, the message that the mark is turned on is sent back to the smart home back-end management platform. After receiving the message, the smart home back-end management platform returns the confirmation success message. Step 3: After the mark is turned on, Execution function option 603, for example: cold air power is turned on; Step 4: After executing the function option, the smart home back-end management platform records its behavior. 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 end of 607, the mark of the pen The program is incomplete, so it is not used. Step 5: When you want to turn off the mark setting, the user sets the Delay time of the Delay, and then presses the button 605 to set the close button. At this time, the information of the closed flag is returned to the smart home back-end management platform. After receiving the message, the smart home back-end management platform generates a new process data model and returns the confirmation success message, and the table tag setting is successful; Step 6: If the tag is to be continued, repeat step 2 606, if otherwise, 607, to be re-established After logging in to the smart home back-end management platform, the set process data model will be applied; the system and method for applying the smart home convertible data model provided by the present invention, when compared with other conventional technologies, have the following advantage:

1. A system and method for applying a smart home convertible data model according to the present invention, wherein the data model feedback setting step enables the user to customize the data model to change the operation interface, and also according to the user operation behavior, the wisdom is reduced unnecessary. Data model to improve product availability and reduce system load.

2. A system and method for applying to a smart home convertible data model, wherein the step of automatically executing the process of marking enables the user to mark the process to be automatically executed, reduce the operational complexity of the product function, and improve the intimate convenience.

The detailed description of the preferred embodiments of the present invention is intended to be limited to the scope of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

To sum up, this case is not only innovative in terms of technical thinking, but also able to enhance the above-mentioned multiple functions compared with conventional articles. It should be submitted in accordance with the law in accordance with the statutory invention patents that fully meet the novelty and progressiveness, and you are requested to approve this article. Invention patent application, in order to invent invention, to the sense of virtue.

1‧‧‧Smart Home Backend Management Platform

11‧‧‧Data model generation module

12‧‧‧Data Model Processing Module

13‧‧‧Data Model Intermediary Module

14‧‧‧Data Inventory 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

Claims (6)

A system for a smart home convertible data model, comprising: a smart home back-end management platform for generating a data model and for at least one user terminal to log in to download a data model to the user terminal for the user to self- The operation interface and function of the subscription data model mainly include: a data model processing module, which is responsible for parsing and processing the data model, and taking the operation interface and function of the user-defined data model through a data inventory The module is stored in the database; a data model generation module, the data model generation module obtains the operation interface and function of the user-defined data model from the database through the data inventory module, to generate the data model and a data model mediation module is transmitted to the user terminal, or generates a data model according to the function option record currently used by the user transmitted by the user terminal; the user terminal includes: a data model analysis module for parsing the data model generation module to transmit The data model is converted into a graphical interface for the user to select; a data model setting mode According to the user's choice, the data model is converted into another data model, and then transmitted back to the smart home back-end management platform; a program marking module for the user to mark the currently used function options, and the user currently uses the The function option record is transmitted to the smart home back-end management platform. A method for applying a smart home convertible data model, comprising: a. data model feedback setting step: for a user to customize the operation interface and function on the user terminal function or device page, and according to a customized operation interface And function to generate a new data model back to wisdom The home back-end management platform, after the user reloads the user terminal function or the device page, applies the user-defined operation interface and functions, and the process includes: Step 1: The user terminal logs in to the smart home back-end management platform, and the user The terminal automatically downloads the data model packet from the smart home back-end management platform according to the user account; Step 2: The user terminal downloads the process, the function, the device-related data model or the user-defined data model according to the user account by the smart home back-end management platform, if Without a custom data model, the data model is reduced according to the user's usage behavior; Step 3: Using the data model analysis module to parse the data model and convert it into a graphical interface for the user to select the desired function or device option; Step 4 The smart home back-end management platform automatically downloads the data model template for the user to select according to the function or device option selected by the user; Step 5: The data model setting module converts into a new data according to the data model template selected by the user. Model and pass it back to the smart home backend management platform, to be reloaded or When the page is prepared, the new settings are applied, or the previously reduced data model is returned; b. The automatic execution process step is marked for the user to mark the operation behavior of the user terminal, and the user terminal returns the marked operation behavior. To the smart home back-end management platform, the smart home back-end management platform generates a new process data model based on the marked operational behavior, so that the user can re-login to the smart home back-end management platform and execute according to the new process data model. A method for applying to a smart home transformable data model as described in claim 2, wherein the data model refers to a structured description of a process, function, or device. The method of claim 2, wherein the automatic execution of the process step indicates that the user can mark the operation behavior of the user to change the process data model, and then the user logs into the smart home service platform. It can automatically perform its marked behavior. The process includes: Step 1: The user terminal logs in to the smart home back-end management platform, and on the function page of the smart home back-end management platform, click the button to set the button to be turned on. The return flag sets the information to be opened to the smart home back-end management platform; Step 2: After receiving the data set by the mark setting, the smart home back-end management platform returns the confirmation success message to the user terminal; Step 3: The user terminal starts executing The functional options of the smart home back-end management platform, and the smart home back-end management platform records the function options performed by the user terminal; Step 4: After the user terminal executes the function option, set the mark delay time and turn off the mark setting, ie Return the message of closing the flag setting to the smart home back-end management platform, Zhi After receiving the message, the Hui home back-end management platform generates a new process data model by the data model generation module, and returns the confirmation success message to the user terminal. If the flag setting is not closed, the smart home back-end management platform has no If the success message is returned, the mark is invalid. Step 5: If you want to continue marking, repeat step one. If you do not continue marking, the process will end. After you log in again, the new process data model will be applied. The method for applying the smart home convertible data model according to claim 2, wherein the smart home back-end management platform is a computer server capable of data storage capability and data processing capability, and can provide website service and Web service to the user. Terminal browser or mobile device APP. The method for applying the smart home convertible data model according to 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 back-end management platform by using a browser or an APP.