Nanjing University

Jinfeng Wang

Hongqiang Ren

Bing Wu

Haidong Hu

Kewei Liao

Deyuan Dong

Hui Huang

Lili Ding

XuXiang Zhang

Jin Wang

Sijia Ma

Jianxin Li

Yuanji Shi

Huimin Fu

A deep learning-based method for predicting the settleability of activated sludge includes: (1) collecting a plurality of activated sludge samples, acquiring raw data of images of the plurality of activated sludge samples, cleaning the raw data of the images, and standardizing data sizes of the images; (2) calculating a sludge volume index (SVI) for each of the plurality of activated sludge samples; (3) establishing, by using a ResNet50 deep neural network, a model for predicting the settleability of activated sludge; and (4) predicting the settleability of a target activated sludge using the model established in (3).

Deep learning-based method for predicting settleability of activated sludge

A device for in-situ measuring settleability of activated sludge includes a sample chamber, an ultrasonic time domain reflectometer, a magnetic stirrer, an ultrasonic probe, a sample inlet, a sample outlet, and a stagnant zone. The sample chamber is configured to hold an activated sludge sample, and the ultrasonic time domain reflectometer is configured to measure the settling characteristics of the activated sludge. The stagnant zone is disposed in the sample chamber. The sample inlet and the sample outlet communicate with the sample chamber. The stagnant zone includes a top part, a sidewall, and a bottom part. The sample inlet is connected to the top part of the stagnant zone. The sample outlet is connected to the sidewall of the stagnant zone. The magnetic stirrer is disposed at the bottom part of the stagnant zone. The ultrasonic probe is disposed on the top part of the stagnant zone.

Device and method for measuring settleability of activated sludge in-situ

A system for cleaning wastewater, includes: an absorption-biodegradation-denitrification (ABN) reactor, a sequential adsorption reactor, a disinfection reactor, and a sludge anaerobic fermentation reactor. The ABN reactor is an integrated reactor including: a biosorption tank, an intermediate sedimentation tank, a biologically-enhanced degradation tank, a denitrification biofilter, and a secondary sedimentation tank. The pretreated wastewater is introduced into the ABN reactor for removal of chemical oxygen demand, nitrogen and phosphorus; the ABN reactor effluent is introduced into the sequential adsorption reactor for the removal of high-risk pollutants; the sequential adsorption reactor effluent is introduced into the disinfection reactor for the elimination of viruses and other pathogenic microorganisms; the sludge produced by the ABN reactor is introduced into the anaerobic sludge fermentation reactor for alkaline fermentation. The system is effective for removing high-risk pollutants and reducing effluent toxicity, which can be used for the upgrading and reconstruction of the wastewater treatment system.

System for cleaning wastewater

The disclosure provides a method for evaluation of removal of nitrogen-containing organic matter from the wastewater. The method includes: 1) pretreating a wastewater sample from a wastewater treatment plant; enriching nitrogen-containing organic matter in the wastewater sample with a solid-phase extraction cartridge; separating the nitrogen-containing organic matter from a substrate and disruptors of the wastewater sample, and collecting the nitrogen-containing organic matter; 2) detecting and analyzing the nitrogen-containing organic matter collected in 1) with a Fourier-transform ion cyclotron resonance mass spectrometer, thereby obtaining mass spectra of the nitrogen-containing organic matter; 3) preprocessing peak data of the mass spectra of the nitrogen-containing organic matter in each wastewater sample; setting the nitrogen-containing organic matter corresponding to the peak data as a global variable; arranging wastewater samples into cross-sectional data according to wastewater treatment processes; creating an assessment matrix for evaluating removal of the nitrogen-containing organic matter.

Method for evaluating removal of nitrogen-containing organic matter in wastewater

A method for modifying a wastewater treatment device, the method including: 1) fixing a filling support in a wastewater pool, where the filling support includes a support frame; the support frame includes a hollow shaft, a fixed ring, and at least one vane; 2) adjusting the height of the filling support, until the fixed ring is submerged below the liquid level of the wastewater pool, where the water intake velocity of the wastewater pool is no less than 0.25 m/s, whereby a water current is produced and drives the support frame to rotate; 3) adding a functional liquid into the hollow shaft; and 4) adding an enzyme mixture to the hollow shaft when the rotation speed of the support frame is less than a first preset value, until the rotation speed of the support frame reaches a second preset value.

Method for modifying wastewater treatment device

A device for supervising biofilm culturing, the device including: a fixed seat including an upper end; a supervision chamber; two ultrasonic sensing probes; a first mounting chamber; a second mounting chamber disposed between the fixed seat and the supervision chamber; an ultrasonic generator; an oscilloscope; and a controller. The first and second mounting chambers are disposed at two opposite ends of the supervision chamber, respectively. The two ultrasonic sensing probes are disposed in the first and second mounting chambers, respectively. The second mounting chamber is connected to the upper end of the fixed seat. The two ultrasonic sensing probes each are respectively connected to the ultrasonic generator, the oscilloscope, and the controller successively.

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Nanjing, China

Jinfeng Wang