Bioaugmentation Technology for Treatment of Toxic and Refractory Organic Waste Water Based on Artificial Intelligence

Frontiers in Bioengineering and Biotechnology

Jiang Lincheng¹  Jiang Yanbo²  Wei Xiandong³  Ling Wei³  Jiang Jianyi³ 

[1] Guangxi Civil and Environment Co., Ltd., Nanning, China;Institute of Ecological Engineering, Guangxi University, Nanning, China;Research Center of Wastewater Engineering Treatment and Resource Recovery, Guangxi Beitou Environmental Protection and Water Group, Nanning, China;

关键词: artificial intelligence;    intelligent control;    waste water treatment;    biofortification;    fuzzy neural network;   

DOI  :  10.3389/fbioe.2021.696166

来源: DOAJ

【 摘 要 】

With the development of modern chemical synthesis technology, toxic and harmful compounds increase sharply. In order to improve the removal efficiency of refractory organic matter in waste water, the method of adding powdered activated carbon (PAC) to the system for adsorption was adopted. Through the analysis of organic matter removal rule before and after waste water treatment, it can be found that PAC is easy to adsorb hydrophobic organic matter, while activated sludge is easy to remove hydrophilic and weakly hydrophobic neutral organic matter. Powdered activated carbon-activated sludge SBR system (PAC-AS) system is obviously superior to AS and PAC system in removing organic matter of hydrophilic and hydrophobic components, that is, biodegradation and PAC adsorption are additive. Compared with the control system, the Chemical Oxygen Demand (COD) removal rate of refractory substances increased by 8.36%, and PAC had a good adsorption effect on small molecular weight organic compounds, but with the increase of molecular weight of organic compounds, the adsorption effect of PAC gradually weakened, and it had no adsorption effect on macromolecular organic compounds. Based on the research of fuzzy control theory, an Agent control system for ozone oxidation process of industrial waste water based on Mobile Agent Server (MAS) theory was established, which was realized by fuzzy control method. The simulation results showed strong stability and verified the feasibility and adaptability of the distributed intelligent waste water treatment system based on MAS theory in the actual control process.

【 授权许可】

Unknown