DESC:FIELD OF INVENTION
The current invention relates to the field of an autonomous, intelligent, internet of things (IoT) based water recycling system for water bodies. The system is especially adapted for recycling water in an aquaculture environment as well as for Industrial wastewater management while monitoring and maintaining water quality parameters at desired levels.
BACKGROUND
Climate change and a range of industrial and human activities have led to nutrient infusion into the lakes and reservoirs resulting in frequent outbreaks of algal blooms. Excess level of nutrients leads to reduced levels of dissolved oxygen in a water body. The reduced levels of oxygen at the hypolimnion or sediment water interface releases harmful elements from the sediment. Release of phosphorous and ammonia in aerobic conditions contributes significantly to eutrophication leading to algal bloom. In the case of aquaculture systems, the frequent disease outbreaks leads to increased mortality of aquatic animals. Presence of excreta and excessive deposition of feed waste leads to increase in toxicity further contributing to mortality. Therefore, regular exchange of contaminated water with decontaminated water is essential.
Most wastewater management and aquaculture systems need manual intervention leading to irregularities in water quality management. For optimal growth of aquatic animals, wastewater needs to be exchanged in a timely manner along with provision of appropriate amounts of feed and nutrients. The prior art lacks an approach to recycle water, optimize feeding, and screen waste in an intelligent manner. Often replenishing nutrients and removing wastewater from the sediment without disturbing the water column has not been addressed in existing wastewater management system.
The current invention provides an intelligent water recycling system and sediment waste collection system which screens waste from sediment and mixes ingredients such as drug, nutrients and dispenses recycled water to the waterbody based on input of the Artificial intelligence module. Real time monitoring of water quality parameters along with deploying modules for corrective action on mixing the right amount of nutrients, recycling wastewater while maintaining desired water quality parameters optimal for aquaculture is the focus of the current invention. The system of the invention is cost effective with limited assembly of sensors that help in predicting a wide range of water quality parameters with the help of Artificial Intelligence module. Use of automation and artificial intelligence aspects of the invention requires minimal human intervention and enables accurate action in a timely manner for recycling wastewater and dispensing nutrients.
BRIEF DESCRIPTION OF DRAWINGS:
Fig. 1. shows Architecture of the Intelligent Water Recycling and Sediment Waste Collection system
Fig. 2. shows Schematic view of Communication or Control module for sensor system
Fig. 3. shows Schematic view of Intelligent Water Recycling and Sediment Waste Collection System.
Fig. 4. shows Working of Water Recycling Module
SUMMARY
The current invention discloses an intelligent and autonomous water recycling and sediment waste collection system based on Internet of Things (IoT) and Artificial Intelligence.
One embodiment of the invention, system for autonomous and intelligent recycling of water, the system comprising ;a sensor module wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module ;a water recycling module wherein the water recycling module comprises an inlet, a control module, at least one screening tank and a mixing and aeration tank; a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the modules of the system and a cloud computing module; a cloud computing module, wherein the cloud computing module is configured to connect with the Internet, the communication gateway through wired or wireless means; and, wherein the communication gateway is configured with the control modules of sensor and water recycling modules and wherein sensor module is configured with an artificial intelligence module, and wherein the artificial intelligence module sends trained data input to the mopping module or mixing and aeration tank.
In one embodiment of the invention, the plurality of sensors in the sensor module are selected from depth sensors, dissolved oxygen (DO) sensors, GPS sensors, sonar module, temperature sensor, ORP sensor, pH sensor, turbidity sensor, proximity sensors, water current velocity measurement sensor, carp velocity sensor, carp acoustics sensors, IMU sensor.
In one embodiment of the invention, the water recycling module further comprises a UV irradiator and an aerator in the mixing and aeration tank.

In one embodiment of the invention, the mopping module comprises a vacuum suction function wherein the vacuum suction function acts on the inputs received from artificial intelligence module and wherein the vacuum suction function is configured with the inlet of the recycling module. In one embodiment of the invention, the mopping module is designed to collect wastewater from the sediment without making the waterbody turbid and transfers the collected water to the screening tank of the water recycling module through the inlet.
In one embodiment of the invention, at least one screening tank comprised in the water recycling module is perforated and retains particles of size 1mm or greater and wherein the wastewater is circulated through the screening tank till the volume of water in the mixing and aeration tank is 75%.
In one embodiment of the invention, the mixing and aeration tank is designed to add one or more of drugs, nutrients, disinfectants, micro algae, or probiotics to water received from the screening tank based on inputs received from the artificial intelligence module by creating a vortex and dispenses recycled water.
In one embodiment of the invention, the artificial intelligence module trains the captured data of one or more of parameters of DO, turbidity, salinity, temperature, pH, ORP, at various locations of the sediment or various levels of a water column and transmits the trained data input to the mopping module and the mixing and aeration tank of the water recycling module.
In one embodiment of the invention ,the artificial intelligence module is configured to predict water quality parameters selected from DO, ammonia (NH4-N), unionized ammonia ,phosphate (PO4-), turbidity, salinity, temperature, pH, TSS (Total Suspended Solids),TOC (Total Organic Carbon) and ORP (Oxidation Reduction Potential), sulphide, phosphate, nitrite, nitrate, vibrio count, Carbon dioxide (CO2) capture, water column respiration rate, carps respiration rate, sediment respiration rate, C:N ratio based on the data input from the sensor module. In one embodiment of the invention , the recycled water has optimal amount of one or more of probiotics, beneficial microbes, nutrients, microalgae, drugs or disinfectants as determined by parameters selected from the weight of waste in the screening tank, concentration of Dissolved Oxygen (DO), ammonia(NH4-N) or unionized ammonia, pH, TOC, Total Dissolved Solids(TDS), salinity, temperature at the sediment or a combination thereof.

In one embodiment of the invention, the recycled water has amount of DO at 6 ppm or more, NH4-N amount of not more than 0.1 mg/l, TDS 2.5%, Total Suspended Solids (TSS) 400 ppm, pH 7-8 or a combination thereof. In one embodiment of the invention, the intelligent water recycling and sediment waste collection system of the invention further comprises a plurality of end user devices and wherein the plurality of end user devices is configured with applications to remotely connect with water recycling module or sensor module comprised in the system. In one embodiment of the invention, the trained data input from the artificial intelligence module to the water recycling module optimizes one or more of amount of volume of water to be pumped by the mopping module, pump running time, amount of nutrients, drugs or probiotics added by the mixing tank.

One embodiment of the invention is a method of intelligent and autonomous recycling of water, the method comprising the steps of;
placing a system for autonomous and intelligent recycling of water in a water body, wherein the system comprises of a sensor module, and wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module;
a water recycling module wherein the water recycling module comprises a control module, at least one screening tank and a mixing tank;
a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the control modules of the system;
Determining a plurality of physical parameters of the water body through activation of a plurality of sensors in the sensor module;
analyzing the readings from the plurality of sensors in a cloud computing module enabled by the wireless communication hub;
providing suitable data as inputs to the Artificial Intelligence module in the sensor module for training data;
providing the output of the Artificial Intelligence module as command input to the the water recycling module;
activating the suction pump of the mopping module for collecting waste water at the sediment;
Screening the waste from the waste water and retaining the waste by first and/or second screening tank;
Activating aeration and mixing of nutrients, drugs or probiotics in the mixing and aeration tank by creating a vortex ;
navigating the sensor module to suitable locations on the water body based on the inputs from Artificial Intelligence module for start mopping;
analyzing the change in the physical parameters of the water body at the location and deactivating the mopping and recycling module.

DETAILED DESCRIPTION
The invention provides an artificial intelligence (AI) and internet of things (IoT) based water recycling system for water bodies. The system helps in collecting sediment waste and is especially adapted for aquaculture water recycling and nutrient management. The water recycling system monitors and maintains water quality parameters at desired levels.
Definitions:
"Hypolimnetic aeration", or sediment aeration systems are which aerate the hypolimnetic region to meet the sediment oxygen demand
"Artificial intelligence module" receives data from the sensors, compares it with values of pre existing sensor readings, desired value parameters and provides input to the control modules of one or more aeration modules, nutrient dispensing module. The module can lead to corrective action, opening or closing of valves or switches, or notify/alert on parameters. The module has machine vision capability as well as a GPS functionality. The module can create and utilize a plurality of data training models. It can involve various algorithms selected from an artificial neural network algorithm, a Gaussian process regression algorithm, a logistical model tree algorithm, a random forest algorithm, a fuzzy classifier algorithm, a decision tree algorithm, a hierarchical clustering algorithm, a k-means algorithm, a fuzzy clustering algorithm, a deep Boltzmann machine learning algorithm, a deep convolutional neural network algorithm, a deep recurrent neural network, or any combination thereof.
The various models can train parameters without limitation, humidity, wind speed, wind direction, temperature of ambient and water column, water quality parameters such as temperature, DO, pH, ORP, at multiple coordinates of the same water body.
The training data generated through a repetitive process of randomly choosing values for each of one or more input process control parameters and scoring adjustments to the input process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments.
"Carp" includes aquatic species like fishes, crustaceans including shrimps, prawns, crabs, lobsters or molluscs.
"Grid" Grid is a two dimensional plane to precisely locate the position of bot within the waterbody
"Control module" as defined herein is a unit to transmit and receive data from and to other modules. It can also be termed as a Communication module, to receive data from the Artificial Intelligence (AI) module. It comprises a microcontroller/microprocessor and a wifi component. It may contain other components based on the functions of the system or a module of which it is a part. These are computing devices with digital storage and digital processing capabilities. The module may comprise an image capturing device or navigation module.
"DO gap or Dissolved Oxygen Gap" as used herein refers to the gap between the existing level of Dissolved oxygen and the demand for Dissolved oxygen at the sediment water interface of the waterbody. The demand for DO is the level of DO required for viability of the carps.
"Mixing and Aeration Tank" and "Mixing Tank" as used herein refer to the mixing and aeration tank of water recycling module and are used interchangeably.
"Nutrients" as used herein refers to nutrients like probiotics, prebiotics, minerals, vitamins or any components used for enhancing the quality of water, health and growth conditions of carps/aquatic animals. The terms "nutrients" is used interchangeably with drugs or probiotics.
"Power" as used herein refers to a Power source , and can be electrical, renewable or non renewable source.
"Reference Values" as used herein refers to the optimal value published in research articles and validated from laboratory experiments and field condition.
“Sensor module” as defined herein is Sensor module is a collection of various sensors including water quality sensors, carps sensors including carps movement, acoustics, respiration rate, and also image capturing devices. Sensors store data on the cloud and also locally. Sensor module houses an artificial intelligence module in its control module. The data is later used for directing inputs to the aeration, nutrient dispensing module or the sensor module or any other module.
"SOD" or Sediment Oxygen Demand as used herein refers to amount of dissolved oxygen required to degraded the waste at the sediment water interface of the waterbody.
"Wastewater" as used herein refers to waste matter in water bodies, can include without limitation, solid waste particles, excess food or feed waste, oxygen depleted water, nutrient depleted water, free radicals, or may comprise any other physical, chemical or biological contaminants. The contaminants may be variable from time to time or based on the industry.

The invention encompasses a system for autonomous and intelligent recycling of water. provides an intelligent water recycling system and sediment waste collection system which screens waste from sediment and mixes ingredients such as drug, nutrients and dispenses recycled water to the waterbody based on input of the Artificial intelligence module. Real time monitoring of water quality parameters along with deploying modules for corrective action on mixing the right amount of nutrients, recycling wastewater while maintaining desired water quality parameters optimal for aquaculture is the focus of the current invention. The system of the invention is cost effective with limited assembly of sensors that help in predicting a wide range of water quality parameters with the help of Artificial Intelligence module. Use of automation and artificial intelligence aspects of the invention requires minimal human intervention, and enables accurate action in a timely manner for recycling waste water and dispensing nutrients.
One embodiment of the invention is a system for autonomous and intelligent recycling of water, the system comprising;
a sensor module wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module;
a water recycling module wherein the water recycling module comprises an inlet, a control module, at least one screening tank and a mixing and aeration tank;
a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the modules of the system and a cloud computing module;
a cloud computing module, wherein the cloud computing module is configured to connect with the Internet, the communication gateway through wired or wireless means; and,
wherein the communication gateway is configured with the control modules of sensor and water recycling modules and wherein sensor module is configured with an artificial intelligence module, and wherein the artificial intelligence module sends trained data input to the mopping module or mixing and aeration tank. autonomous and intelligent recycling of water recycles water from hypolimnetic region of a lake or reservoir or sediment water interface of lagoons or aqua-ponds. In one embodiment of the invention the water recycling system is a zero discharge system.
In one embodiment of invention, the modules comprised in the autonomous and intelligent water recycling system of the invention are designed to be physically placed in a water body and recycle waste water from the hypolimnetic or sediment regions of a water body based on input from the artificial intelligence module and preset configuration.

In one embodiment of the invention, the plurality of sensors in the sensor module are selected from depth sensors, dissolved oxygen (DO) sensors , GPS sensors, sonar module, temperature sensor, ORP sensor, pH sensor, turbidity sensor, proximity sensors, water current velocity measurement sensor, carp velocity sensor, carp acoustics sensors, IMU sensor.
In one embodiment of the invention, the mopping module comprises a vacuum suction function wherein the vacuum suction function acts on the inputs received from artificial intelligence module and wherein the vacuum suction function is configured with the inlet of the recycling module. In one embodiment of the invention, the mopping module is designed to collect waste water from the sediment without making the waterbody turbid and transfers the collected waste water to the screening tank of the water recycling module through the inlet of the water recycling module. In one embodiment of the invention the mopping module sucks waste and excess nutrients from the sediment. In one embodiment of the invention the inlet of the water recycling module is connected to the mopping module of the sensor module. In one embodiment of the invention the inlet of the water recycling module transfers waster water from the sediment.
In one embodiment of the invention the mopping module transmits input from the sensor module to the water recycling module. In one embodiment of the invention the mopping module transmits input from the artificial intelligence module present in the sensor module to the water recycling module.

One embodiment of the invention is the water recycling module wherein the water recycling module further comprises a UV radiator and an aerator in the mixing and aeration tank. In one embodiment of the invention the mixing and aeration tank has a Dissolved Oxygen (DO) sensor. In one embodiment of the invention the mixing and aeration tank has a temperature sensor. In one embodiment of the invention the DO sensor modulates aeration. In one embodiment of the invention the DO sensor enables maintenance of DO at 6ppm .In one embodiment of the invention the temperature sensor enables maintenance of the temperature between 25-30 °C.
In one embodiment of the invention, at least one screening tank comprised in the water recycling module is perforated. In one embodiment of the invention the screening tank retains waste of size greater than 1cm. In one embodiment of the invention the screening tank retains waste of size more than 1mm. In one embodiment of the invention the screening tank receives waste water pumped by the mopping module. In one embodiment of the invention , the water recycling module comprises of two screening tank , wherein the tank connected the inlet is a primary tank and is the second tank is secondary tank. In one embodiment of the invention pumping of waste water to the screening tank is stopped when the primary screening tank is 85-90 % of the tank volume. In one embodiment of the invention the screening tanks retains waste from the water collected for recycling. In one embodiment of the invention the screening tanks retains waste from the water collected for recycling from the sediment. In one embodiment of the invention, waste water is circulated through the screening tank till the volume of water in the mixing and aeration tank is 75%. In one embodiment of the invention the UV radiator in the mixing and aeration tank disinfects water collected from the screening tank. In one embodiment of the invention the mixing and aeration tank adds one or more of drugs, nutrients, disinfectants, or probiotics to water collected from the aeration tank. In one embodiment of the invention the mixing and aeration tank adds one or more of drugs, nutrients, disinfectants, micro algae, or probiotics to water based on input from the artificial intelligence module. In one embodiment of the invention the mixing and aeration tank adds one or more of drugs, nutrients, disinfectants, micro algae, or probiotics by creating a vortex.
In one embodiment of the invention the mixing and aeration tank dispenses recycled water. In one embodiment of the invention the recycled water is Ultraviolet (UV) irradiated. In one embodiment of the invention the recycled water is disinfected by the action of the Ultraviolet (UV) irradiator. In one embodiment of the invention the recycled water has optimal amount of one or more of probiotics, beneficial microbes, nutrients, microalgae, drugs or disinfectants. In one embodiment of the invention the optimal amount of one or more of probiotics, beneficial microbes, nutrients, microalgae, drugs or disinfectants is determined based on one or more parameters including the weight of waste in the screening tank, concentration of Dissolved Oxygen (DO), ammonia (NH4-N), unionized ammonia, pH, TOC, Total Dissolved Solids (TDS), salinity, temperature at the sediment. In one embodiment of the invention the recycled water has amount of DO at 6 ppm or more, NH4-N amount of not more than 0.1 mg/l, TDS 2.5%, Total Suspended Solids (TSS) 400 ppm, pH 8. In one embodiment of the invention, mixing and aeration tank adds one or more of drugs, nutrients, disinfectants, micro algae, or probiotics to water received from the screening tank based on inputs received from the artificial intelligence module by creating a vortex and dispenses recycled water.
In one embodiment of the invention the water recycling module further comprises of an electrical module. In one embodiment of the invention the electrical module relays electrical signals for pumping water.
One embodiment of the invention is the artificial intelligence module comprised in the autonomous and intelligent water recycling and sediment waste collection system of the invention. In one embodiment the artificial intelligence module is a part of the sensor module. In one embodiment of the invention, the artificial intelligence module is configured with the sensor module.
In one embodiment of the invention, the artificial intelligence module trains the captured data of one or more of parameters of DO, turbidity, salinity, temperature, pH, ORP, at various locations of the sediment or various levels of a water column and transmits the trained data input to the mopping module and the mixing and aeration tank of the water recycling module.

In one embodiment of the invention, the artificial intelligence module is configured to predict water quality parameters selected from DO, ammonia (NH4-N), unionized ammonia ,phosphate (PO4-), turbidity, salinity, temperature, pH, TSS (Total Suspended Solids),TOC (Total Organic Carbon) and ORP (Oxidation Reduction Potential), sulphide, phosphate, nitrite, nitrate, vibrio count, Carbon dioxide (CO2) capture, water column respiration rate, carps respiration rate, sediment respiration rate, C:N ratio, based on the data input from the sensor module.
In one embodiment of the invention, the trained data input from the artificial intelligence module to the water recycling module optimizes one or more of amount of volume of water to be pumped by the mopping module, pump running time, amount of nutrients, drugs or probiotics added by the mixing tank.
In one embodiment of the invention, the artificial intelligence modules comprises an artificial neural network algorithm, a Gaussian process regression algorithm, a logistical model tree algorithm, a random forest algorithm, a fuzzy classifier algorithm, a decision tree algorithm, a hierarchical clustering algorithm, a k-means algorithm, a fuzzy clustering algorithm, a deep Boltzmann machine learning algorithm, a deep convolutional neural network algorithm, a deep recurrent neural network, or any combination thereof. In one embodiment of the invention, the training data set further comprises process characterization data, in-process inspection data, or post-build inspection data that is generated by an operator while manually adjusting the process control parameters. In one embodiment of the invention the sensor module locally stores the reading taken by the sensors. In one embodiment of the invention the readings are stored on cloud. In one embodiment of the invention the sensor module stores the reference values of water quality parameters, water body parameters. In one embodiment of the invention the artificial intelligence module compares the data captured from the sensors to the reference values. In one embodiment of the invention the readings are stored at the local storage device or in a cloud server.
In one embodiment of the invention the sensor module autonomously navigates to different coordinates of a water body and senses parameters including water quality parameters, location information, changes in water colour or images at all the strata of the water body. In one embodiment of the invention the sensor module is connected to the water recycling module by wifi. In one embodiment of the invention the communication module of the sensor module comprises a microcontroller and a wifi component. In one embodiment of the invention, the microcontroller and the wifi component enable connectivity by internet of things. In one embodiment of the invention the sensor module comprises an artificial intelligence module. In one embodiment of the invention the sensors are arranged in a sensor block. In one embodiment of the invention the sensor block is cylindrical in shape. In one embodiment of the invention the sensor block houses temperature sensor, DO sensor, ORP sensor, pH sensor, turbidity, reserved hole for optional spectrophotometer, thermocouple, proximity sensors, sonar and the sensor data acquisition system. In one embodiment of the invention housing sensor data acquisition system in a sensor block eliminates the effect of signal attenuation and drift while transmitting analog data over variable and long distance under water.
In one embodiment of the invention the sensor module further comprises a navigation motor. In one embodiment of the invention the sensor module further comprises a power source, a cooling fan, a display, an up/down motor, a motor drive, and a GPS module. In one embodiment of the invention the camera is waterproof. In one embodiment of the invention the camera captures images of aquatic species, sediment waste deposition, and turbidity level. In one embodiment of the invention the sensor module has a pulley mechanism to enable movement of the sensor block.
In one embodiment of the invention the sensor module directs the water recycling module to function based on the change in environmental conditions and growth of carps. In one embodiment of the invention the sensor module directs the nutrient controller, aerator and recycling system to function based on water quality parameters for treatment of water bodies and lakes. In one embodiment of the invention the sensor module directs the recycling module to exchange water and add chemicals or micro algae needed for control of excessive nutrients by controlling the mixing process of the recycling system. In one embodiment of the invention the sensor module directs the mopping module to sweep the sediment and collect waste.
In one embodiment of the invention the sensor module locally stores the reading taken by the sensors. In one embodiment of the invention the readings are stored on cloud. In one embodiment of the invention the sensor module stores the reference values of water quality parameters, carps parameters, school of carps, water body parameters, bathymetry, climatic conditions. In one embodiment of the invention the artificial intelligence module compares the data captured from the sensors to the reference values. In one embodiment of the invention the readings are stored at the local storage device or in a cloud server.

In one embodiment of the invention, the intelligent water recycling and sediment waste collection system of the invention comprises a plurality of end user devices, wherein the end user devices are configured with applications to remotely connect with the system of the invention. In one embodiment of the invention, the plurality of end user devices are configured to remotely connect with water recycling module or sensor module of the intelligent water recycling and sediment waste collection system of the invention.
In one embodiment of the invention, the end user devices include, without limitation, mobiles, smartphones, a tablet, PC, laptop, desktops, wearable devices, mobile handheld devices.
In one embodiment of the invention the modules of the intelligent water recycling and sediment waste collection system of the invention operate on renewable energy. In one embodiment of the invention the modules operates on electricity or biofuel or solar energy or a combination thereof.

One embodiment of the invention is a method of intelligent and autonomous recycling of water, the method comprising the steps of;
placing a system for autonomous and intelligent recycling of water in a water body, wherein the system comprises of a sensor module, and wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module;
a water recycling module wherein the water recycling module comprises a control module, at least one screening tank and a mixing tank;
a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the control modules of the system;
Determining a plurality of physical parameters of the water body through activation of a plurality of sensors in the sensor module;
analyzing the readings from the plurality of sensors in a cloud computing module enabled by the wireless communication hub;
providing suitable data as inputs to the Artificial Intelligence module in the sensor module for training data;
providing the output of the Artificial Intelligence module as command input to the the water recycling module;
activating the suction pump of the mopping module for collecting wastewater at the sediment;
Screening the waste from the wastewater and retaining the waste by first and/or second screening tank;
Activating aeration and mixing of nutrients, drugs or probiotics in the mixing and aeration tank by creating a vortex;
navigating the sensor module to suitable locations on the water body based on the inputs from Artificial Intelligence module for start mopping;
analyzing the change in the physical parameters of the water body at the location and deactivating the mopping and recycling module.

In one embodiment of the invention is the deployment and method of operation of the sensor module. In one embodiment of the invention the sensor module reads the perimeter description and virtual grid description of the waterbody for which it is deployed. In one embodiment of the invention the sensor module reads its own location using the GPS module and a local positioning system. In one embodiment of the invention the sensor module captures data for one or more parameters, without limitation, DO, temperature, pH, ammonia, salinity levels at different depths or at a particular location or a combination of both. In one embodiment of the invention the sensor module captures the data and stores it locally. In one embodiment of the invention the sensor module sends the locally stored data to the Cloud or local Server for analytics. In one embodiment of the invention the data is sent by wireless means. In one embodiment of the invention the sensor module captures data for the parameters at all designated grid points across a water body. In one embodiment of the invention a 2D map of SOD (Sediment Oxygen Demand), HOD (hypolimnetic oxygen demand) and HOV (Hypolimnetic oxygen volume), bathymetry variation by using suitable plotting software (or manually) at desired cross-section is constructed. In one embodiment of the invention a 3D map of variation of DO is constructed based on sensor data and bathymetry variation information.
In one embodiment of the invention the intelligent water recycling and sediment waste collection system of the invention can be deployed in an aquaculture management, industrial wastewater management, sewage management and treatment of lagoons. In one embodiment of the invention the system of the invention can be deployed in water bodies including lakes, reservoirs, ponds. In one embodiment of the invention, the intelligent water recycling and sediment waste collection system is deployed in water bodies of area up to one hectare.

The following examples illustrate the invention without limiting its scope.
The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such as specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments.
It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modifications. However, all such modifications are deemed to be within the scope of the claims.
Example 1
Operation of Water Recycling Module Based on Predicted Ammonia Value
DO, pH and ORP sensors were deployed through the sensor module. When the observed values of DO,ORP and pH in the water body were sensed at 320ppm, sulphide >20 µg/L or a combination thereof. Probiotics were dispensed to the mixing tank and discharge the recycled water back to waterbody.
,CLAIMS:1. A system for autonomous and intelligent recycling of water, the system comprising;
a sensor module wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module;
a water recycling module wherein the water recycling module comprises an inlet, a control module, at least one screening tank and a mixing and aeration tank;
a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the modules of the system and a cloud computing module;
a cloud computing module, wherein the cloud computing module is configured to connect with the Internet, the communication gateway through wired or wireless means; and,
and wherein the communication gateway is configured with the control modules of sensor and water recycling modules and wherein sensor module is configured with an artificial intelligence module, and wherein the artificial intelligence module sends trained data input to the mopping module or mixing and aeration tank.

2. The system according to claim 1 wherein the plurality of sensors in the sensor module are selected from depth sensors, dissolved oxygen (DO) sensors, GPS sensors, sonar module, temperature sensor, ORP sensor, pH sensor, turbidity sensor, proximity sensors, water current velocity measurement sensor, carp velocity sensor, carp acoustics sensors, IMU sensor.

3. The system of claim 1, wherein the water recycling module further comprises a UV radiator and an aerator in the mixing and aeration tank.

4. The system of claim 1 wherein the mopping module comprises a vacuum suction function wherein the vacuum suction function acts on the inputs received from artificial intelligence module and wherein the vacuum suction function is configured with the inlet of the recycling module.

5. The system of claim 1 wherein the mopping module is designed to collect waste water from the sediment without making the waterbody turbid and transfers the collected water to the screening tank of the water recycling module through the inlet.

6. The system of claim 1 wherein at least one screening tank is perforated and retains particles of size 1mm or greater and wherein the waste water is circulated through the screening tank till the volume of water in the mixing and aeration tank is 75%.

7. The system of claim 1 wherein the mixing and aeration tank is designed to add one or more of drugs, nutrients, disinfectants, micro algae, or probiotics to water received from the screening tank based on inputs received from the artificial intelligence module by creating a vortex and dispenses recycled water.

8. The system of claim 1 wherein the artificial intelligence module trains the captured data of one or more of parameters of DO, turbidity, salinity, temperature, pH, ORP, at various locations of the sediment or various levels of a water column and transmits the trained data input to the mopping module and the mixing and aeration tank of the water recycling module.

9. The system of claim 1 wherein the artificial intelligence module is configured to predict water quality parameters selected from DO, ammonia (NH4-N), unionized ammonia ,phosphate (PO4-), turbidity, salinity, temperature, pH, TSS (Total Suspended Solids),TOC (Total Organic Carbon) and ORP (Oxidation Reduction Potential), sulphide, phosphate, nitrite, nitrate, vibrio count, Carbon dioxide (CO2) capture, water column respiration rate, carps respiration rate, sediment respiration rate, C:N ratio based on the data input from the sensor module.

10. The system of claim 7, wherein the recycled water has optimal amount of one or more of probiotics, beneficial microbes, nutrients, microalgae, drugs or disinfectants as determined by parameters selected from the weight of waste in the screening tank, concentration of Dissolved Oxygen (DO), ammonia(NH4-N) or unionized ammonia, pH, TOC, Total Dissolved Solids(TDS), salinity, temperature at the sediment or a combination thereof.

11. The system of claim 10, wherein the recycled water has amount of DO at 6 ppm or more, NH4-N amount of not more than 0.1 mg/l, TDS 2.5%, Total Suspended Solids (TSS) 400 ppm, pH 7-8 or a combination thereof.

12. The system of claim 1, wherein the system further comprises a plurality of end user devices and wherein the plurality of end user devices is configured with applications to remotely connect with water recycling module or sensor module comprised in the system.

13. The system of claim 10, wherein the trained data input from the artificial intelligence module to the water recycling module optimizes one or more of amount of volume of water to be pumped by the mopping module, pump running time, amount of nutrients, drugs or probiotics added by the mixing tank.

14. A method of intelligent and autonomous recycling of water, the method comprising the steps of;
placing a system for autonomous and intelligent recycling of water in a water body, wherein the system comprises of a sensor module, and wherein the sensor module comprises a plurality of sensors, a control module, a navigation module and a mopping module;
a water recycling module wherein the water recycling module comprises a control module, at least one screening tank and a mixing tank;
a communication gateway, wherein the communication gateway is a wireless communication hub which is configured to communicably connect with the control modules of the system ;
Determining a plurality of physical parameters of the water body through activation of a plurality of sensors in the sensor module;
analyzing the readings from the plurality of sensors in a cloud computing module enabled by the wireless communication hub;
providing suitable data as inputs to the Artificial Intelligence module in the sensor module for training data;
providing the output of the Artificial Intelligence module as command input to the the water recycling module;
activating the suction pump of the mopping module for collecting wastewater at the sediment;
Screening the waste from the wastewater and retaining the waste by first and/or second screening tank;
Activating aeration and mixing of nutrients, drugs or probiotics in the mixing and aeration tank by creating a vortex;
navigating the sensor module to suitable locations on the water body based on the inputs from Artificial Intelligence module for start mopping;
analyzing the change in the physical parameters of the water body at the location and deactivating the mopping and recycling module.