Garbage sorting and recycling system based on RBF neural network and control method
A garbage sorting and recycling system technology, applied in the direction of garbage collection, garbage bins, waste collection and transfer, etc., can solve the problems of high overall cost, lack of regulation and management, and insufficient docking, so as to improve recycling efficiency and avoid secondary waste. Secondary pollution, the effect of improving work efficiency
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[0074] The RBF neural network-based garbage sorting and recycling system and control method of the present invention will be described in detail below in conjunction with the embodiments and drawings.
[0075] Such as Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 As shown, the garbage sorting and recycling system based on RBF neural network of the present invention includes a base plate 8 and a support frame 15 arranged on the base plate 8, and the support frame 15 is respectively provided with:
[0076] The primary sorting layer is arranged on the top of the supporting frame 15 . Such as Figure 4 , Figure 7 As shown, by forming the garbage sorting cover plate 12 that is used to drop into four garbage inlets 16 of four different types of garbage respectively, and being respectively arranged at the four garbage inlets 16 entrances for obtaining the garbage inlet 16 where it is located Garbage input signals are sent to the control unit 10 to form four first ...
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