公开(公告)号：US11905224B2

公开(公告)日：2024-02-20

申请号：US18308685

申请日：2023-04-28

申请人： NANJING UNIVERSITY ,  LISHUI INSTITUTE OF ECOLOGICAL ENVIRONMENT, NANJING UNIVERSITY

发明人： Zengwei Yuan ,  Mingjin Cheng ,  Xiang Cheng ,  Shiwen Zhang

IPC分类号： C05F17/05 ,  B09B3/80 ,  B09B3/30 ,  A01K67/033

CPC分类号： C05F17/05 ,  A01K67/033 ,  B09B3/30 ,  B09B3/80

摘要： The present application provides a method for fully recycling kitchen waste by using Hermetia illucens L. and aerobic microorganisms. The method includes first performing solid-liquid separation on the kitchen waste; then using the filtrate obtained through separation to feed young larvae of Hermetia illucens L. to convert salt in the filtrate into body fluid of Hermetia illucens L. in a larval stage, and using the kitchen waste filter residue to feed 2nd-6th-instar larvae of Hermetia illucens L. respectively; separating insects and insect feces residue in a timely manner, so as to reduce a salt content of insect feces and improve transabdominal transformation efficiency of Hermetia illucens L. and quality of the insect manure; and finally implementing full resource utilization through aerobic composting and insect drying and sterilization treatment.

公开(公告)号：US12031969B2

公开(公告)日：2024-07-09

申请号：US17114527

申请日：2020-12-08

申请人： Nanjing University

发明人： Zengwei Yuan ,  Xin Liu

IPC分类号： G01N33/18 ,  C02F1/00 ,  G01N1/20 ,  G01N27/06

CPC分类号： G01N33/18 ,  C02F1/008 ,  G01N1/20 ,  C02F2209/08 ,  C02F2209/14 ,  C02F2209/40 ,  G01N1/2035 ,  G01N27/06

摘要： The invention discloses a spatial and temporal feature-based method for measuring domestic wastewater effluent loadings, comprising the following steps: establish a model for measuring regional domestic wastewater effluent loadings; calculate regional population distribution raster data; obtain per capita effluent loading coefficients with spatial and temporal differences; calculate regional domestic wastewater effluent loadings; and compare and analyze the temporal fluctuation features and spatial variation features of regional domestic wastewater effluent loadings and identify “hotspot” periods and areas of effluent loadings. Compared with the prior art, the method for measuring domestic wastewater effluent loadings provided by the present invention is flexible, convenient and highly universal, which can significantly raise the temporal-spatial resolution of the pattern of regional domestic wastewater effluent loadings. The data needed are also publicly available. This invention can help identify key pollution areas and periods and lay a methodological foundation for precision pollution control.

公开(公告)号：US11445711B2

公开(公告)日：2022-09-20

申请号：US16925263

申请日：2020-07-09

申请人： Lishui Institute of Ecology and Environment,Nanjing University

发明人： Zengwei Yuan ,  Shiwen Zhang ,  Zumao Qin ,  Xinrong Zhou ,  Tianming Chen

IPC分类号： A01K67/033 ,  C02F3/32 ,  C02F103/20

摘要： Disclosed are an intelligent separation and drying system for maggots and a method of operating the same. The intelligent separation and drying system includes an intelligent light control unit, an intelligent scraping unit, a separation unit, a drying unit, a travelling unit and a central control unit. The central control unit is connected to other units through signals. Multidisciplinary techniques, including spectrum analysis, machine learning algorithm and artificial neural network, are combined to automatically, systematically, intelligently and continuously separate maggots and maggot feed as well as dry the maggots with high efficiency in a clean manner.

公开(公告)号：US20210144905A1

公开(公告)日：2021-05-20

申请号：US16925263

申请日：2020-07-09

申请人： Lishui Institute of Ecology and Environment,Nanjing University

发明人： Zengwei Yuan ,  Shiwen Zhang ,  Zumao Qin ,  Xinrong Zhou ,  Tianming Chen

IPC分类号： A01C3/00 ,  A01K67/033 ,  A01K29/00

摘要： Disclosed are an intelligent separation and drying system for maggots and a method of operating the same. The intelligent separation and drying system includes an intelligent light control unit, an intelligent scraping unit, a separation unit, a drying unit, a travelling unit and a central control unit. The central control unit is connected to other units through signals. Multidisciplinary techniques, including spectrum analysis, machine learning algorithm and artificial neural network, are combined to automatically, systematically, intelligently and continuously separate maggots and maggot feed as well as dry the maggots with high efficiency in a clean manner.