Home control system and control method thereof
A technology of home control and control method, applied in general control system, control/regulation system, program control, etc., can solve the problems of complicated function selection process, affecting user experience, etc.
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Embodiment 1
[0059] figure 2 It shows the flow chart of the control method of the home control system provided by the first embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are listed, and the details are as follows:
[0060] As a preferred embodiment of the present invention, step S20 includes:
[0061] Step S201, collect and clear the historical data of the user's use of the home control application program.
[0062] Specifically, collect data such as the time when the user operates the APP, operation actions, device status, user identification data, etc., and set different labels for these data, identifying attribute fields, operation time, operation mode, operation APP interface, interface buttons, and interface Duration of stay, device type, etc., can also include the room where the device is located, device activation date, device status parameters, user id, user location (province, city, dist...
Embodiment 2
[0068] image 3 It shows the flow chart of the control method of the home control system provided by the second embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are listed, and the details are as follows:
[0069] It should be noted that Embodiment 2 of the present invention is based on Embodiment 1 above. Specifically, step S203 includes:
[0070] Step S2031, calculate the training set through the Bayesian probability formula (Naive Bayesian classification), obtain the first result set, and verify through the first result set and the test set, repeat the above operations, and debug out Optimal parameter, obtains described probability model;
[0071] Specifically, the Bayesian probability (formula 1) is inserted into the formula NaiveBayes(Am) (where m is the training set) to obtain the probabilities of various tags of the user, that is, the first result set. Substituting the calculated...
Embodiment 3
[0079] Figure 4 It shows the flow chart of the control method of the home control system provided by the third embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are listed, and the details are as follows:
[0080] As a preferred embodiment of the present invention, step S30 includes:
[0081] Step S301, dividing the preset position of the home page of the home control application into two areas;
[0082] Step S302, displaying the shortcut icons of the N function items in the first area of the preset position;
[0083] Step S303, displaying the shortcut icons of the M function items in the second area of the preset position.
[0084] Specifically, the preset position of the home page of the home control application (conspicuous position, which is convenient for the user to directly operate) is divided into two areas, which can be two areas of the upper and lower areas, or two areas o...
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