A hierarchical model predictive control (HMPC) method based on fuzzy neural network for wastewater treatment process (WWTP) is designed to realize hierarchical control of dissolved oxygen (DO) concentration and nitrate nitrogen concentration. In view of the difference of time scales in WWTP, it is difficult to accurately control the concentration of DO and nitrate nitrogen. The disclosure establishes a HMPC structure according to different time scales. Then, the concentration of DO and nitrate nitrogen is controlled with different frequencies. It not only conforms to the operation characteristics of WWTP, but also solves the problem of poor operation performance of multivariable model predictive control. The experimental results show that the HMPC method can achieve accurate on-line control of DO concentration and nitrate nitrogen concentration with different time scales.

A total nitrogen intelligent detection system based on multi-objective optimized fuzzy neural network belongs to both the field of environment engineer and control engineer. The total nitrogen in wastewater treatment process is an important index to measure the quality of effluent. However, it is extremely difficult to detect the total nitrogen concentration due to the long detection time and the low prediction accuracy in the wastewater treatment process. To solve the problem, multi-objective optimized fuzzy neural network with global optimization capability may be established to optimize the structure and parameters to solve the problem of the poor generalization ability of fuzzy neural network. The experimental results show that total nitrogen intelligent detection system can automatically collect the variables information of wastewater treatment process and predict total nitrogen concentration. Meanwhile, in this system, the detection method can improve the prediction accuracy, as well as ensure the total nitrogen concentration be obtained in real-time and low-cost.

An anammox reactor capable of improving nitrogen removal efficiency by maintaining activity of microorganisms, and a water treatment method using the anammox reactor are provided. The anammox reactor includes a raw water feed pipe through which raw water is supplied, a raw water discharge pipe through which raw water is discharged to an outside, and a first chamber configured to accommodate ammonium oxidizing bacteria (AOB) and anammox bacteria for performing an anammox process, wherein the raw water feed pipe and the raw water discharge pipe are configured to communicate with the first chamber.

The present invention relates to a control system for a bioreactor. More particularly, this invention relates to a process and apparatus for reading the characteristics of an industrial waste water stream and dosing amount of nutrients that play a key role to help the microorganisms in the bioreactor work efficiently to remove impurities from the industrial wastewater stream.

A modular and mobile unpressurized bioreactor for removing nitrate from water, and methods and systems thereof.

Wastewater containing a significant level of dissolved readily biodegradable organic compounds matter, such as short-chain fatty acids, and ammonia can be efficiently treated to remove most or all of the organic compounds and the ammonia, with the production of microbial storage compounds such as polyhydroxylkanoates, by (i) subjecting the wastewater storage compound-accumulating microorganisms (SCAM) in the presence of oxygen, (ii) subjecting at least part of the resulting partly treated wastewater to ammonia-oxidising microorganisms (AOM) in the presence of oxygen and (iii) feeding a gas containing molecular carbon dioxide produced during step (ii) to step (i) so as to lower the pH in step (i).

The present invention relates to systems and methods for removing and recovering precious metals, such as platinum-group metals (PGMs), including palladium, from wastewater and waste streams. The invention also relates to systems and methods for recycling the recovered precious metals for catalytic applications.

The present invention discloses a method for preparing a simultaneous nitrogen and phosphorus removal lightweight material and the use thereof, and belongs to the technical field of environmental functional materials and sewage treatment. In the present invention, sulfur and an iron-based component are thoroughly melted and dispersed to obtain a molten mixture, where the iron-based component is a mixture of iron sulfides with carbonates of calcium and magnesium; and the above molten mixture is subjected to a foaming treatment to form the simultaneous nitrogen and phosphorus removal lightweight material. The simultaneous nitrogen and phosphorus removal lightweight material of the present invention has characteristics of high porosity, a large specific surface area, a light weight, and a high reaction activity. The resultant lightweight material, used as a microbial carrier and an electron donor for a biochemical reaction, is applied to a reactor such as a fixed bed or fluidized bed for sewage treatment, with the advantages of a good microbial attachment performance, a high denitrification rate and a good phosphorus removal effect.

A method for optimizing filtration in an aquaculture system. The method for optimizing filtration includes, taking at least one sample of matter from an aquaculture system, defining at least one predetermined characteristic to test the sample of matter for, testing the at least one sample of matter, determining if the at least one predetermined characteristic is present within the sample, modifying resource distribution within the aquaculture system, taking at least two samples of matter within the aquaculture system, re-defining at least one predetermined characteristic to test the at least two samples of matter for, testing the at least two samples of matter, determining if the re-defined at least one predetermined characteristic is present within the at least two samples of matter and ensuring the filtration system will retain a state of optimization.

A self contained, automatic water quality monitoring and treatment system includes a water quality interface control module having a signal processor configured to: receive signaling containing information about a baseline test of pH and ORP levels of water to be monitored and also about a subsequent test of the pH and ORP levels of water to be monitored later in time to the baseline test; determine corresponding signaling containing information about the quality of the water being monitored based upon a percentage of change between the baseline test and the subsequent test later in time to the baseline of the pH and ORP levels of water being monitored; and provide the corresponding signaling for remote awareness, including wireless signaling for providing mobile or Internet awareness, and/or for controlling the treatment of the water being monitored.