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In order to improve the efficiency of mechanical and hydraulic control of the mechanical equipment, the analysis scheme of mechanical hydraulic characteristics based on lightweight crowd data was proposed in mobile embedded devices. Based on the mobile and embedded machinery equipment, a crowd lightweight data-driven analysis model is proposed to solve the hydraulic mechanical properties of nonlinear filtering with coarse-grained service detection. The engine of the mechanical equipment was connected with the hydraulic control module through the harmonic filter. Based on the output array of hydraulic characteristics and the transmission power of the mobile embedded node, the analysis scheme of mechanical hydraulic characteristics was proposed based on lightweight crowd data in mobile embedded devices. Based on the experiment evaluation result, the hydraulic analysis performance and mechanical equipment support ability of the proposed scheme is better than the static node scheme.

Mechanical hydraulic characteristic analysis scheme based on lightweight crowd data in mobile embedded devices