An intelligent separation type grain dryer
A grain dryer and a separate technology, applied in the field of grain drying, can solve the problems of poor intelligence and uneven drying, and achieve the effect of good automatic control performance.
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Embodiment 1
[0039] combine Figure 1-3 , an intelligent separation type grain dryer, comprising a drying box 1, a drive shaft 2, a separation box 3, a grain feeder 4, a grain outlet 5, a circulating air system and a drying controller; it is characterized in that:
[0040] There is a drive shaft 2 inside the drying box 1, and the drive shaft 2 rotates; the number of separation boxes 3 is multiple, and every 8 separation boxes 3 are a group, and the 8 separation boxes 3 in a group of separation boxes 3 are uniform. The connecting rod 8 is connected to a clutch 6, and the clutch 6 is sleeved on the drive shaft 2, so that when the drive shaft 2 rotates, it can drive eight separation boxes 3 to rotate around the axis of the drive shaft 2; the separation boxes 3 are arranged in multiple groups , multiple sets of separation boxes 3 are arranged on the same drive shaft 2, and the drive shaft 2 can drive all separation boxes 3 to rotate at the same time;
[0041] The clutch 6 makes the separation...
Embodiment 2
[0057] The establishment method of the acoustic signal analysis model is as follows:
[0058] First, collect the mechanical noise of the separation box 3 when it rotates as the background noise B;
[0059] Then, the grains with different water contents are loaded into the separation box 3, and the rotation of the separation box 3 is controlled, and the sound signal M generated by the collision of the grains with different water contents and the inner wall of the separation box 3 during rotation is collected;
[0060] Then use the background noise B as a sample for noise reduction of the sound signal M of the collision of grains with different moisture contents, so as to remove the background noise to obtain M';
[0061] Collect multiple noise reduction wave signals corresponding to grains with different water contents, and use the noise reduction wave signal and the corresponding water content as the parameters of the neural network model for neural network modeling. The input...
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