Abstract: Disclosed is a testing device for measuring interfacial shear properties between fibers and media, including a main body, which is a rectangular plate-like structure with L-shaped plates provided at the bottom ends of the main body, a connecting rod provided at a top right of the main body, a groove provided at the top of the main body; and four rotating grooves are provided inside the groove. The rotating grooves are cylindrical structures with raised centers at both ends; and a mounting piece is installed above the left end of the main body; a magnet of a displacement micrometer is connected to a tension trolley, a high-definition camera is turned on, weights are added into a loading bucket and the fiber movement is observed until the fiber is pulled out or sliding friction occurs, and then the camera is stopped and accurate data is tested.

Abstract: Disclosed is a testing device for measuring interfacial shear properties between fibers and media, including a main body, which is a rectangular plate-like structure with L-shaped plates provided at the bottom ends of the main body, a connecting rod provided at a top right of the main body, a groove provided at the top of the main body; and four rotating grooves are provided inside the groove. The rotating grooves are cylindrical structures with raised centers at both ends; and a mounting piece is installed above the left end of the main body; a magnet of a displacement micrometer is connected to a tension trolley, a high-definition camera is turned on, weights are added into a loading bucket and the fiber movement is observed until the fiber is pulled out or sliding friction occurs, and then the camera is stopped and accurate data is tested.

Abstract: The disclosure provides a method and a system for predicting disinfection by-products in drinking water. The method includes: acquiring water age prediction data of the drinking water to be predicted and water quality data of the drinking water to be predicted; inputting the water age prediction data and the water quality data into an adaptive genetic BP neural network model for predicting the disinfection by-products in the drinking water to obtain prediction values of the disinfection by-products in the drinking water. The disinfection by-products in a water supply pipe network can be predicted efficiently and economically by using the method and the system for predicting the disinfection by-products in the drinking water provided by the disclosure.

Abstract: The present invention provides a method for separating an organic matter from a natural water body, and belongs to the field of water purification. In the present invention, organic matters in the natural water body are divided into six categories, and three different kinds of resins are used, namely an XAD-7HP macroporous adsorption resin, a 15-WET strong-acid cation exchange resin and an A-23 weak-base anion exchange resin; the XAD-7HP macroporous adsorption resin sequentially adsorbs a hydrophobic neutral (HPON), a hydrophobic base (HPOB) and a hydrophobic acid (HPOA) in the natural water body, then the 15-WET strong-acid cation exchange resin absorbs a hydrophilic base (HPIB), and finally, the A-23 weak-base anion exchange resin adsorbs a hydrophilic acid (HPIA), retaining a hydrophilic neutral (HPIN) in the remaining water body.