The present invention belongs to the technical field of sewage denitrification. Disclosed are a sewage treatment system and method of continuous flow step-feed short-cut denitrification-anaerobic ammonia oxidation coupled with denitrification. The system comprises a primary sedimentation tank, a bioreactor and a secondary sedimentation tank, which are connected in sequence, wherein the bioreactor comprises a pre-starvation zone, a first hypoxic zone, a first aerobic zone, a second hypoxic zone and a second aerobic zone: an agitator is arranged in each of the pre-starvation zone, the first hypoxic zone and the second hypoxic zone; an aeration device is arranged in both the first aerobic zone and the second aerobic zone; a polyurethane sponge filler is arranged in both the first hypoxic zone and the second hypoxic zone; and a nitrification liquid reflux pump is arranged between the first aerobic zone and the pre-starvation zone. By rationally utilizing a carbon source of raw sewage, the present invention develops a sewage denitrification system and a process control method which have the advantages of an efficient denitrification effect, a simple procedure flow, being convenient in terms of operation and maintenance, and being automated and intelligent.

The current invention relates to an artificial intelligence, internet of things (IoT) based water body management system. The water body management system of the invention comprises of an aeration module, a nutrient dispensing module, and a sensor module which monitors and maintains water quality parameters. The artificial intelligence module configured with the sensor module trains the data obtained from the sensors and inputs to the aeration, nutrient dispensing or other modules. The current invention has applications in aquaculture management, management of water bodies like lakes, reservoirs, and ponds.

A system and method for monitoring disinfectant levels in non-human animal drinking water using ORP and optionally pH measurements and adding disinfectant or pH adjusting agents as needed. Sensors obtain measurements of the water upstream of a point of consumption and a controller compares measurements to predetermined thresholds, ranges, or previous measurements to determine if the disinfectant and optionally pH levels are within a desired range or above or below a desired minimum or a desired maximum value. A disinfectant dosing system preferably automatically adds disinfectant to the supply line based on the measurement comparison. A flow switch preferably keeps the system from activating disinfectant addition when water in the supply line is static (non-flowing). An alert is preferably triggered when a measurement indicates the disinfectant level is too low or too high or when a volume of disinfectant in the dosing system is below a predetermined volume threshold.

An all-in-one manifold assembly is fabricated separately from and coupled to a pressure vessel of a water filter system. The manifold assembly includes two valve assemblies configured to be rotated between an operational position, a by-pass position and a shut-off position. Rotation of the valve assemblies can occur by manual or automatic rotation. The manifold assembly may further include ports for one or more sensors. A controller can smartly operate the manifold assembly.

A risk prediction and early warning method for water environments based on a water environment model predicting pollution discharge information for all pollution sources in a watershed, and including: selecting pollution sources requiring environmental risk prediction and early warning and dividing these into different risk prediction/early warning levels; determining from official environmental monitoring data and literature research initial elements for environmental pollution risk evaluation; obtaining principal pollution elements affecting pollution events; generating a plurality of environmental risk prediction and early warning models; forming a comprehensive fuzzy risk prediction and early warning model by combining the several risk prediction and early warning models having the best selective performance; inputting principal pollution element values into the comprehensive fuzzy risk prediction and early warning model, and predicting risk values for pollution events at pollution sources. The present method realizes prediction of watershed pollution risk, and resolves present deficiencies in watershed pollution risk prediction and early warning, while improving coverage rates for watershed pollution risk prediction and enhancing the accuracy thereof.

A dynamic multi-objective particle swarm optimization based optimal control method is provided to realize the control of dissolved oxygen (S.sub.O) and the nitrate nitrogen (S.sub.NO) in wastewater treatment process. In this method, dynamic multi-objective particle swarm optimization was used to optimize the operation objectives of WWTP, and the optimal solutions of S.sub.O and S.sub.NO can be calculated. Then PID controller was introduced to trace the dynamic optimal solutions of S.sub.O and S.sub.NO. The results demonstrated that the proposed optimal control strategy can address the dynamic optimal control problem, and guarantee the efficient and stable operation. In addition, this proposed optimal control method in this present invention can guarantee the effluent qualities and reduce the energy consumption.

The invention relates to a system and method for transforming raw sewage into a reusable water product that is substantially free of solids, naturally disinfected and does not require pumping.

A managed water system can include a first body of water contained in a vessel. The managed water system can also include at least one sensor device that measures at least one parameter associated with the first body of water. The managed water system can further include a circulation system that circulates the body of water relative to the vessel. The managed water system can also include a controller communicably coupled to the at least one sensor device and the circulation system. The controller can control the circulation system, and receive measurements of the at least one parameter made by the at least one sensor device. The controller can also evaluate the measurements using multiple algorithms, and communicate a result of evaluating the measurements.

The present disclosure relates to systems and methods for monitoring the fill level of salt in a brine tank of a water softener system. Distance measurements may be taken by a wireless-enabled smart sensor device disposed at an interior surface of a brine tank cover. Calibration of the smart sensor device may include taking distance measurements corresponding to different fill levels of the brine tank, obtaining at least one corresponding user-defined fill ratio, and storing these as calibration data. Subsequent distance measurements may be used to determine a current fill ratio based on the calibration data. If the current fill ratio is below a threshold value, an alert may be sent to the user device indicating that salt should be added. If the current fill ratio is above a previous fill ratio, an alert may be sent to the user device requesting recalibration of the smart sensor device.

Example aspects of a remote-operated flushing system and a method of operating a flushing system are disclosed. The remote-operated flushing system can comprise a fluid routing assembly comprising a valve, the valve configurable in an open configuration, wherein fluid is permitted to flow through the fluid routing assembly, and a closed configuration, wherein the fluid is prohibited from flowing through the fluid routing assembly; a control device configured to actuate the valve between the open configuration and closed configuration; a remote operation device wirelessly connected to the control device and configured to remotely operate the control device to control the actuation of the valve between the open configuration and closed configuration; and a sensor configured to detect a fluid property of the fluid within the fluid routing assembly, wherein the control device is configured to wirelessly send a signal representative of the fluid property detected by the sensor.