The invention discloses an AI intelligent regulation and control facility rotten
vegetable processing method, and aims to solve the problems that existing rotten
vegetable processing equipment is easy to block due to fixed parameters and rotten degree judgment is disjointed with
plant nutrition standards, the method comprises the following steps: acquiring rotten
vegetable material multi-view images through a visual acquisition device, calculating a
fiber winding index in combination with a physical correction action, and identifying a category
label; the crushing particle size and the squeezing rotating speed are regulated and controlled according to category labels and winding index differences, and loss of water-
soluble nitrogen and
potassium nutrients is reduced while
fiber winding is prevented; conveying the dehydrated rotten vegetable leaves to an aerobic
fermentation device, collecting a
compost surface image, inputting the
compost surface image into a
decomposition degree identification model associated with a
plant nutrition index, outputting a
decomposition degree probability value, triggering
verification sampling when the
decomposition degree probability value is greater than 0.95 for three continuous times, and judging a
fermentation end point and starting discharging if a seed
germination index is greater than or equal to 95%. Pretreatment anti-blocking,
fermentation end point judgment intelligence and
plant nutrition adaptability are achieved, and the
nutrient retention rate and quality stability of the waste vegetable
organic fertilizer are improved.