Tianjin University

Tianjin University of Commerce

Yunan Sun

Guanyi Chen

Junyu Tao

Beibei Yan

Jian Li

Zhanjun Cheng

Lan Mu

Yongjie Hu

Yadong Ge

Wenzhu Wu

Rui Liang

Yude Gu

Chao Chen

Xiaoling Hao

Shuang Wu

Guandong Chen

The disclosure provides a multivariate solid waste proportion optimization method based on a coupling of matrix operation and machine learning, including following steps: obtaining proportioning feedstock, where the proportioning feedstock include solid waste and boiler/industrial kiln working feedstock; using a machine learning model embedded optimization algorithm to obtain a set of characteristic parameter requirements of the proportioning feedstock; according to the set of characteristic parameter requirements of the proportioning feedstock, optimizing the blending ratio of the solid wastes and the boiler/industrial kiln working feedstock to obtain an optimized blending ratio of the solid wastes and the boiler/industrial kiln working feedstock; according to the optimized blending ratio of the solid wastes and the boiler/industrial kiln working feedstock, obtaining an optimized set of solid waste characteristic parameter requirements; completing solid waste proportion based on the optimized set of solid waste characteristic parameter requirements and the set of solid waste characteristic parameters.

Multivariate solid waste proportion optimization method based on coupling of matrix operation and machine learning

A method for preparing a supercritical fluid by deep-sea pressure is provided and belongs to the technical field of supercritical fluid preparation. The method includes the following steps of: placing a low-pressure fluid in a closed flexible container, sending the closed flexible container down to a location of a sea at a depth where a seawater pressure meets a requirement by using a powered or unpowered traction device, leaving the flexible container standing still until a volume of the flexible container does not change, wrapping the closed flexible container with a rigid pressure-bearing container, transferring the closed flexible container to the sea surface by the powered or unpowered traction device, and taking out the fluid in the flexible container as supercritical fluid. Then the supercritical fluid is produced. Therefore, the process of preparing supercritical (high pressure) liquid in the deep-sea is safer and more stable than the preparation way on land.

Method for preparing supercritical fluid by deep-sea pressure

A sorting-based garbage classification method and a sorting-based garbage classification device are provided. The method utilizes quantitative features of domestic garbage components and adopts bubble sort algorithm to build a sorting model to sort and classify domestic garbage. The method is more in line with technical requirements of downstream incineration, pyrolysis gasification and so on, and has the features of high fault tolerance rate and high operation efficiency, and is characterized by controllable environmental impact, flexible product form and high energy utilization efficiency in the operation process.

Sorting-based garbage classification method and device

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Tianjin, China

Yunan Sun