Cleaning apparatus for magnetic waste in water, and control method thereof
A garbage cleaning and magnetic technology, which is applied in chemical instruments and methods, magnetic separation, solid separation, etc., can solve the problems of high cost and achieve the effects of low recycling cost, high intelligence, and energy saving
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Embodiment 1
[0069] Such as figure 1 , image 3 , Figure 8 The illustrated embodiment is a device for cleaning magnetic garbage in water, comprising a cuboid-shaped adsorbent 1 with both ends closed, a first airbag and a second airbag respectively arranged at both ends of the adsorbent, a microprocessor 2 and a second airbag arranged in the adsorbent. memory 3, tumble switch 8, gas cylinder, first motor 4, second motor 5, two upper cams 6 connected with the two rotating shafts 7 of the first motor and two lower cams connected with the second motor, Two upper digging feet 9 arranged on the upper surface of the adsorbent, two lower digging feet 10 arranged on the lower surface of the adsorbent, powerful magnet sheets 11 on the peripheral surface of the adsorbent outside each digging foot and the The traction ring 12 on the adsorption body; the cross section of the adsorption body is rectangular, and the first motor and the second motor are both waterproof motors.
[0070] Each excavation...
Embodiment 2
[0089] Include all structures and steps in embodiment 1 in embodiment 2, also comprise the following steps:
[0090] Step 600, the standard signal-to-noise ratio SNR is set in the memory 标准 , the rotation speed C1 and the rotation speed C2 of the motor, C2>C1; in the process of absorbing magnetic garbage, the microprocessor obtains 8 detection signals, and the microprocessor selects the signal segments of the 8 detection signals within 5 minutes from the current moment to form 8 A detection signal Spect(t); the rotational speed C1 is 2 revolutions / minute, and the rotational speed C2 is 4 revolutions / minute;
[0091] Step 700, data processing:
[0092] The microprocessor inputs m detection signals Spec(t) into a layer of stochastic resonance model Among them, V(x, t) is the potential function, x(t) is the Brownian motion particle trajectory function, a, b are the set constants, ξ(t) is the external noise, D is the external noise intensity, N (t) is intrinsic noise, It is ...
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