A method for generating a maintenance program for the operation of a maintenance system at a bioreactor, in particular a bioreactor of a vehicle for transporting persons, which method comprises at least the following steps, which are executed by an electronic data processing means associated with the maintenance system: acquiring system characteristics data of the maintenance system; acquiring reactor characteristics data of the bioreactor, the reactor characteristics data being received at least in part from a communication interface of the bioreactor; and generating the maintenance program at least on the basis of the system characteristics data and the reactor characteristics data.

A wastewater treatment system includes two or more wastewater treatment reactors selected from an anoxic wastewater treatment reactor, a flex wastewater treatment reactor, and a hydroponic wastewater treatment reactor in fluid communication with and connecting a wastewater system inlet and a treated wastewater system outlet, each of the anoxic reactor, the flex reactor, or the hydroponic reactor including a reactor inlet for receiving wastewater to be treated and a reactor outlet directing treated wastewater from the anoxic reactor, the flex reactor, or the hydroponic reactor. The system also includes: (i) either but not both of the anoxic reactor or the flex reactor, (ii) a hydroponic reactor if the anoxic reactor is included, and (iii) at least two flex reactors if the hydroponic reactor is absent, and wherein at least one of the flex reactor or the hydroponic reactor includes an intermittent or pulsed aeration device and/or a submerged membrane or submerged root zone that achieves a natural gradient of oxidative states that is similar to oxidative states achieved using the intermittent or pulsed aeration device.

A computer of a microbial community analysis system includes an input unit configured to input a plurality of data groups including information indicating a nucleotide sequence of a gene of each of a plurality of microorganisms included in activated sludge in which a water treatment is performed; a similarity calculating unit configured to calculate a similarity between data groups on the basis of the nucleotide sequences included in the input data groups, and a coordinates calculating unit configured to calculate coordinates in a multidimensional space of each of the data groups on the basis of the calculated similarity.

The invention is directed to a control method for a process to convert bisulphide to elemental sulphur in an aqueous solution comprising sulphide-oxidising bacteria wherein the process is controlled by applying a potential between the anode electrode and the cathode electrode or between the anode electrode and the reference electrode of an electrochemical cell resulting in a current between the cathode electrode and the anode electrode, measuring a current as measured by an electrochemical cell and adapting the process in response to the measured current. The process to convert bisulphide may comprise the following steps: (a) contacting bisulphide with oxidised sulphide-oxidising bacteria in the aqueous solution and elemental sulphur, (b) oxidizing the reduced sulphide-oxidising bacteria, (c) using the oxidised sulphide-oxidising bacteria obtained in step (b) in step (a) and (d) isolating elemental sulphur from the aqueous solution obtained in step (a) and/or step (b).

A method for collaborative optimization control method for organic nitrogen and inorganic nitrogen in a denitrification process is provided. The method includes: establishing ASM-mDON-DIN models for simultaneous simulation of microbial dissolved organic nitrogen (mDON) and inorganic nitrogen (DIN) in denitrification processes; and selecting a corresponding ASM-mDON-DIN model according to a set carbon/nitrogen ratio to collaboratively optimize the concentration values of mDON and DIN in the effluent in the denitrification process, to obtain best process operation parameter values.

Methods are described for treating aqueous solutions, including wastewater, to remove nitrogen-containing compounds using electrochemical processes. The method may be conducted electrolytically under an applied voltage or using endogenous current in a fuel cell arrangement. In some embodiments, energy is reclaimed in the form of hydrogen, methane, and other hydrocarbons or organic molecules. Microorganisms may be used as the catalyst for oxidation of the nitrogen-containing compound and/or reduction of hydrogen ions, carbon dioxide, or bicarbonate. Anaerobic or low-oxygen conditions may be used in the zone.

A method and system for the nitrification and denitrification of septic effluent, e.g. from a domestic septic tank, is disclosed comprising a variable speed pump system for constant continuous flow and a recycle mechanism to increase efficacy in producing a final denitrified effluent suitable for discharge to ground or surface waters.

A cooperative fuzzy-neural control method is designed in this present invention. Due to the difficulty for cooperatively controlling the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process, a cooperative fuzzy-neural control method is investigated. In this proposed method, firstly, a interval type-2 fuzzy neural network is employed to construct the cooperative fuzzy-neural controller. Secondly, a parameter cooperative strategy is proposed to cooperatively optimize the global and local parameters of the cooperative fuzzy-neural controller to meet the control requirements. This proposed cooperative fuzzy-neural control method can cooperatively control the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process. The results illustrate that the proposed cooperative fuzzy-neural control method can achieve the high control accuracy and guarantee the normal operations of wastewater treatment process under the different operation conditions.

Presented herein is a voltaic cell containing a biofilm for facilitating energy conversion in a bioelectrochemical energy conversion cell where the biofilm includes one or more microbial populations.

An optimal control method for wastewater treatment process (WWTP) based on a self-adjusting multi-task particle swarm optimization (SA-MTPSO) algorithm belongs to the field of WWTP. To balance the relationship between the effluent water quality (EQ) and energy consumption (EC) and achieve optimization online quickly, the invention establishes a data-based multi-task optimization model for WWTP to describe the relationship between the control variables and EQ, EC. Then, the SA-MTPSO algorithm is adopted to solve the optimal set-points of the nitrate nitrogen and dissolved oxygen concentration for WWTP. The PID controller is used to track the optimal set-points, so as to reduce EC while ensuring EQ, and realize the online optimal control of WWTP.