Abstract: The present invention provides an electric power material distribution and allocation method based on an optimized branch and bound method, including: sorting the distribution of each batch of electric power materials to obtain a material set R; screening available vehicle data to obtain a vehicle deadweight set W and a vehicle unique identification set C; determining whether available vehicles meet requirements; and using an optimized queued branch and bound method to obtain an optimal distribution and allocation scheme. According to the present invention, scientific scheme support is provided for the distribution and allocation of the electric power materials, the scientificity of the distribution of power grid materials is improved, the influence of human factors is reduced, the utilization rate of distribution vehicles is increased, the distribution cost of the materials is reduced, and the economic benefit is improved.

Abstract: A method for synchronous extraction and analysis of multiple trace emerging organic contaminants in hairs, and application comprises the following steps: S1, pretreatment; S2, mixing and extraction; S3, nitrogen blowing concentration and purification; and S4, low-temperature separation. A device for synchronous extraction and analysis of multiple trace emerging organic contaminants in hairs, and application comprises comprises a treatment barrel, a pedestal and a drive assembly. This method is applied to a study on long-term exposure of multiple organic contaminants in a human body. According to the present disclosure, an extraction solution extracting system is established, 5 emerging organic contaminants in hairs can be purified and analyzed by establishing a dispersion solid-phase extraction filler consisting of Na2SO4 powders and C18 powders.

Abstract: A control method based on an adaptive neural network model for dissolved oxygen of an aeration system includes: obtaining related water quality monitoring data of a sewage treatment plant, and performing data preprocessing on the related water quality monitoring data; performing principal component analysis on the preprocessed related water quality monitoring data and a dissolved oxygen concentration of the aeration system through a principal component analysis method, and determining a water quality parameter with a highest rate of contribution to a principal component; taking the water quality parameter with the highest rate of contribution to the principal component, and predicting a dissolved oxygen concentration of the aeration system; and optimizing a dissolved oxygen predictive value obtained by means of the adaptive neural network model to obtain an optimal regulation value, and performing online regulation on a fuzzy control system of the adaptive neural network model.

Abstract: A control method based on an adaptive neural network model for dissolved oxygen of an aeration system includes: obtaining related water quality monitoring data of a sewage treatment plant, and performing data preprocessing on the related water quality monitoring data; performing principal component analysis on the preprocessed related water quality monitoring data and a dissolved oxygen concentration of the aeration system through a principal component analysis method, and determining a water quality parameter with a highest rate of contribution to a principal component; taking the water quality parameter with the highest rate of contribution to the principal component, and predicting a dissolved oxygen concentration of the aeration system; and optimizing a dissolved oxygen predictive value obtained by means of the adaptive neural network model to obtain an optimal regulation value, and performing online regulation on a fuzzy control system of the adaptive neural network model.

Abstract: The present disclosure discloses a method for removing TBBPA in water, a microbial strain and a microbial agent, wherein the microbial strain is a domesticated Burkholderia cepacia strain, which is named Y17 with a conservation number GDMCC No. 62153. The microbial agent and the method for removing TBBPA in water with the microbial agent are that Y17 strains are colonized on the surface and pore channels of biochar, TBBPA in water is used as a carbon source, air and dissolved oxygen are used as oxygen sources, biochar provides the strains a growth microenvironment for degrading TBBPA in water, the strains are subjected to aerobic growth in water, and bio-enhanced degradation of TBBPA in water is performed by continuously degradation reaction. The removal method and the microbial strain as well as the microbial agent are high in degradation efficiency, environmental-friendly and low in cost, and can meet requirements on large-range promotion and application.