Control system and method for intelligent toilet
A technology of intelligent toilet and control system, applied in general control system, control/adjustment system, program control and other directions, can solve the problems of many buttons on the controller, very inconvenient control, complicated operation, etc., to achieve blind control, reduce costs, The effect of reducing the number of
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Embodiment 1
[0025] refer to figure 1 , a control system for an intelligent toilet, including a control mechanism 10, an actuator 20, a controller 30, a sensing unit 40, and the like. The controller 30 is wired or wirelessly connected with the control mechanism 10 . There is a button on the controller 30, which can be a mechanical button or a touch button, and a control command is input by pressing or lightly touching the button. The controller 30 and the control mechanism 10 may be wired or wirelessly connected to transmit control commands to the control mechanism 10 .
[0026] The sensing unit 40 is connected with the control mechanism 10 to detect whether the toilet is in use. The sensing unit 40 can be a seating sensing device, which is used to detect a seating signal or a seating signal and send it to the control mechanism 10. The seating signal is the use state , the seat-leaving signal is not in use, see Figure 4 . The sensing unit 40 of the present invention can also be other ...
Embodiment 2
[0049] A one-button control system and method for an intelligent toilet, the main features of which are the same as those in Embodiment 1, the difference being that the sensing unit adopts a posture recognition device to judge whether the human body is in a sitting posture through posture recognition, and if so, determine that the toilet is in use, see Figure 4 ; If not, it is determined that the toilet is not in use.
[0050] The posture recognition device can use radio wave sensors, cameras, image algorithm modules, etc. to identify sitting postures, use radio wave sensors to judge the trajectory of human body movement, and combine image algorithms to judge whether the human body is in a sitting posture.
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