DESC:Technical Field of the Invention
The present invention relates to a power monitoring and fault prediction system for aerators used in aquaculture ponds. Further the present invention relates to a method for executing on an aeration monitoring system.
Background of the Invention
Aeration or addition of supplemental oxygen to the pond water in aquaculture provides adequate aerobic conditions to support aquatic life and improve water quality. Circulation, on the other hand, does not directly add oxygen to the pond but can influence aeration by redistributing oxygen and affecting oxygen transfer.
Both aeration and circulation are necessary to prevent the natural aging of pond soil condition and water quality. An effective management strategy would include both aeration and circulation. The benefits of such a system are extended life of the pond, improved pond soil and water quality, uniform temperature and DO distribution from surface to bottom, reduced anoxic sediment layer, and improved habitat for production.

The aerator plays a vital role in the aquaculture by maintaining desired dissolved oxygen level and circulation of water. These aerator motors must be monitored and maintained to ensure required dissolved oxygen levels in the pond which is essential for the life of the shrimp.

Aerators work by creating agitation and surface turbulence in the water, which increases the oxygen level and creates water movement, helping to distribute oxygenated water throughout the system. This process also helps to reduce the accumulation of carbon dioxide and other harmful gasses, as well as to maintain a stable temperature in the water.

Instead of having a power monitoring and historical data on the condition of an aerator, the farmer had to rely on supervisors and workers to monitor the aerators 24/7 all around the ponds. These workers sometimes overlook the aerators working condition which incurs huge losses to farmers due to culture mortality. In addition, the coordinated analysis of certain events, i.e. power failure, Phase failure, Disconnection of the cables around the pond, Starter failure, gearbox failure, aerator motor failure, aerator mal-function, in conjunction with workers had been difficult if not impossible to achieve.

Thus, farmers are not able to control the damage at the timing of power failures. Other disadvantages of using workers to monitor the pond aerators include the inconvenience to the
farmers do not have ready access to complete and coordinated aerator working data when diagnosing aeration problems. The farmers have a long-felt need for access to aggregate collections of data on an aerator to allow them to better detect when aerator motor require
servicing, repairs, or replacement.

It is very much imperative that existing practices and process employed by farmers are unaltered. Aeration and circulation are two separate processes which needs to be monitored, where each of which greatly affects pond aquaculture dynamics. The pond aerators working parameters have not been monitored remotely by any instrumentation system. Similarly, the data on aerator condition has not been collected in real-time to allow for review of aerators condition data, or to allow for storage of data in a cloud-based database.

With the known technologies that exist in aquaculture domain, it is observed that all technology companies were obsessed with online DO (Dissolved Oxygen) and PH sensors to sense the pond issues and were failing as existing sensor technologies are not readily adaptable for Indian aquaculture water. Also, the exciting technologies fails to update the farmer instantly when the aerator fails instead informs when the DO fails to detect the cause or reason instead of informing the consequence of failure instantly to the concerned person.

Therefore, there is need to develop the aeration monitoring system that monitors the power, predict fault and automatically updates the farm condition instantly to the farmer.

Brief Summary of the Invention
According to an aspect of the present invention, a monitoring and fault prediction system for pond aerators used in aquaculture and the method thereof is disclosed. The method for execution on the aeration monitoring system comprises the step of monitoring, capturing and studying the electrical parameters like current from the three-phase AC lines, three phase voltage from the transformer and voltage from the power generator of the aquaculture farm;
In accordance with the first aspect of the present invention, wherein the method comprises of calculating multiple values like active, reactive, apparent power, active energy, apparent energy, power factor and required capacitor value from the captured electrical parameters and identifying different types of faults like power faults, aerator faults, generator faults and excess KVA usage from the calculated values and notifying the faults to the user instantaneously.
In accordance with the first aspect of the present invention, wherein the method comprises of transferring configurations and commands to the aeration monitoring system by the said mobile application for notifying the alerts to the user.
In accordance with the first aspect of the present invention, wherein the method comprises of receiving configurations and threshold value settings from the end user through the mobile application and transfers it to the server and the server transfers the same data to the aeration monitoring system.
In accordance with the first aspect of the present invention, wherein the aeration monitoring system would be facilitated with a provision to configure the active time to receive the faults and set the threshold/reference values for each type of fault using reference value menu by the user through an interface of the mobile application.
In accordance with a second aspect of the present invention, wherein the system comprises an electronic board with energy monitoring IC and Wi-Fi connectivity module; current transformers ("split core type current transformer"), an Automated Power Factor Controller (APFC) system, a hooter, a server and a database. The system is allied with a mobile application for monitoring the faults in the aerators and alerts the faults in the farm.
In accordance with the second aspect of the present invention, wherein, the aeration monitoring system monitors, captures and studies the electrical parameters like current from the three-phase AC lines, three phase voltage from the transformer and voltage from the power generator of the aquaculture farm, the aeration monitoring system transfers all the captured farm data to server through Wi-Fi over the internet and then the server consolidates the data and stores it in the database as per site ID and device ID and synchronize the same data to the user’s mobile application, the hooter delivers siren for local annunciation, the software associated and the components of the system thereby communicates a plurality of situations and data related to them to a cloud server for directing alerts to the users.
In accordance with the second aspect of the present invention, the system identifies different types of faults such as power faults/no power/single phase faults, current faults/aerator fault, low power factor fault, KVA limit crossed fault, generator faults and capacitor bank health fault.

In accordance with the second aspect of the present invention, wherein the aeration monitoring system and an Automated Power Factor Controller (APFC) are mounted on an electrical panel where the energy meter is mounted.
In accordance with the second aspect of the present invention, wherein the APFC operates the capacitors and maintains the power factor near to unity by switching the capacitor ON or OFF depending on the load and desired power factor.

In accordance with the second aspect of the present invention, wherein the system communicates data directly to the server using Wi-Fi, Sub-GHz, 2.4 GHz Proprietary, GSM or Wi-Fi HaLow.

In accordance with the second aspect of the present invention, wherein the server receives the data from the aeration monitoring system. The server then consolidates the data and stores all the consolidated data and moves forward to the database and synchronize the same data to the user’s mobile application and further send notifications and delivers a phone call to the farmers or supervisors.

In accordance with the second aspect of the present invention, wherein the system notifies users in the form of phone calls, through app notification and a local annunciation hooter siren for aeration fault.

In accordance with the second aspect of the present invention, wherein the system initiates a phone call to the user when the fault alert is not acknowledged locally in a predefined time by pressing the acknowledge button provided on the aeration monitoring system by the farm executive. The system would further initiate a call to the users in a white list for escalating the notification in the order they are configured.
In accordance with the second aspect of the present invention, wherein user (farmer) configure to receive a call even if the farm executive acknowledges the button.
In accordance with the second aspect of the present invention, wherein a network operating centre (NOC) would be notified with an alarm for an executive to take an action manually if system stays in faulty condition in spite of information passed to the white list numbers,
In accordance with the second aspect of the present invention, wherein the system would facilitate provision to configure the active time to receive the faults and set the threshold/reference values for each type of fault using reference value menu by the user through an interface of the mobile application.

In accordance with the second aspect of the present invention, wherein the data collected and stored in the database associated with the remote application server would be used to determine the power usage of pond aerators.

In accordance with the second aspect of the present invention, wherein the data collected and stored in the database associated with the remote application server would be used to determine the crop running status of an aquaculture farm like pond preparation, water pumping, water treatment, dichlorination, seed stocking, seed shifting, seed feeding, partial harvesting, full harvest and water pumping out.

In accordance with the second aspect of the present invention, wherein the data is transmitted to the server from the aeration monitoring system, at the server the data would be used for data analytics to identify the aerator usage pattern and could predict the current stage of the farm.

In accordance with the second aspect of the present invention, wherein the system will monitor and identify different types of faults like power faults/no power/single phase fault, current faults/aerator fault, low power factor fault, KVA limit crossed fault, generator faults and capacitor bank health fault only during pre-configured time.

In accordance with the second aspect of the present invention, wherein the system has provision to control the changeover to switch between grid power and generator during the power faults like power failure and phase faults.

In accordance with the second aspect of the present invention, wherein the system monitors the generator faults and generates alarms if generator is not switched-on during power failure and If generator is not switched off when mains power is restored.

In accordance with the second aspect of the present invention, wherein the system identifies a power consumption, voltage, usage in hours for other equipment in the farm like lobe pumps, power generators, blowers or any other electrical equipment and generates alarms during fault conditions.

In accordance with the second aspect of the present invention, wherein the system continuously monitors power factor and determines which capacitor banks are to be switched on/off to achieve optimal power factor. Maintaining the power factor in required range will reduce the power bill, increase in efficiency of aerators and pumps, reduces voltage drop, eliminate the penalty of low power factor from the electricity board. It also gives an alarm for defective capacitors.

In accordance with the second aspect of the present invention, wherein the system continuously monitors power consumption in KVA and generate alerts when used it more than the contracted value, to avoid penalty by the electricity board.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application will provide aeration history for last 24 hours and entire crop duration.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application shows the location of device and status of aerators in a map view.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application provides a user interface to perform several activities including monitors the farms live status, monitors the farms electrical parameters like current, voltage, power energy, power factor (PF) and power source in real time, examines the aeration monitoring systems historical data for the entire crop duration and configure the active time to receive the faults and set the threshold values for each type of fault.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application notifies and displays faults that occurred at the farm in real time, wherein the faults include power faults, aerator faults, capacitor faults, KVA faults and power factor faults.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application provides the user to check the historical data of reference commands that are inputted to the system till date with the information of the person who has inputted the command.

In accordance with the second aspect of the present invention, wherein the system along with the mobile application allows the user to view a graph that allows user to view the current (Load), KVA, PF, along with fault and call generated for a selected aeration monitoring system in last 24 hours and entire crop duration.

Brief Description of the Drawings

Example embodiments of the present invention are illustrated by accompanying drawings, wherein:

FIG. 1 illustrates a system architecture of an aeration monitoring system for monitoring and predicting fault of pond aerators used in aquaculture according to the present invention.

FIG. 2 illustrates a flow diagram depicting the functions performed by the aeration monitoring system according to the present invention.

FIG. 3 illustrates an information flow diagram depicting of transmitting information from the aeration monitoring system to server, database and mobile application according to the present invention.

FIG. 4A to 4L illustrates a screenshot of a mobile application allied with the aeration monitoring system where user can perform several activities and view the required farm data according to the present invention.

Detailed Description of the Invention

According to an exemplary embodiment of the present invention, a monitoring and fault prediction system for pond aerators used in aquaculture and the method thereof is disclosed. The aeration monitoring system is an IoT device designed by considering the requirements and prerequisites of an aquaculture farm. The aeration monitoring system works in a proactive way in monitoring power and predicting faults of the pond aerator. The system monitors the power related parameters and alerts the faults occurred in the farm to the farmer in a pre-defined interval. The system captures the data and transmits the data to the user mobile application via a server over the internet. The end user would be provided to view the electrical parameters and power related data in the mobile application.

The aeration monitoring system monitors several faults like aerator faults, power and capacitor faults and generator faults. The system predicts the aerator faults that can be occurred due to power failure or due to not switching ON the generator on time or due to motor failures or due to cable cuts. These faults would be predicted by the system and alerts the concerned person. The system also monitors the power consumed by the farm during the stages involved in the aquaculture farming. The aquaculture farming involves several stages, from the selection of the appropriate seeds to the harvesting and processing of the final product. During each stage of aquaculture farming the usage of aerators changes, so if we have the knowledge of how many and when aerators are used, we can predict the current stage of the farm.

To predict the fault and monitor the power consumed, the aeration monitoring system captures and transmits all the electrical parameters of the farm. At the server side, the system calculates multiple values and performs data analytics to identify the aerator usage pattern and predicts the current stage of the farm. The system also monitors the generator faults which is very critical, the faults include that the concerned person need to switch ON the generator on time and not too late or leave it ON even after the power is restored. This monitoring of power along with power factor control and predicting of faults reduce the human intervention and benefits the user (farmer) in gaining maximum returns in aquaculture farming.

Referring to drawings, FIG. 1 illustrates a system architecture (100) of an aeration monitoring system (104) for monitoring and predicting fault of pond aerators used in aquaculture according to the present invention. The system architecture (100) includes an electronic board with energy monitoring IC and Wi-Fi connectivity module inside aeration monitoring system (104); 4G to Wi-Fi modem (106); current transformers (Split core CTs) (102); a hooter (108); Automated Power Factor Controller (APFC) system (109); a server (110); a database (112) and a mobile application (114) allied with the aeration monitoring system (104).

The aeration monitoring system (104) is mounted on an electrical panel where the energy meter is mounted. The aeration monitoring system (104) monitors, captures and studies the electrical parameters like current from the three-phase AC lines, three phase voltage (102) from the transformer and voltage from the power generator of the aquaculture farm (102), wherein the electrical parameters include like current, voltage, power energy, power factor (PF) and power source. Along with the aeration monitoring system (104) an Automated Power Factor Controller (APFC) (109) is also mounted on the electrical panel. By mounting the APFC it helps in reducing the electricity bill by maintaining the power factor near to unity. The aeration monitoring system (104) calculates the value of capacitor (kVAr) required and operates the capacitors by switching the capacitor ON or OFF depending on the load and desired power factor.

The aeration monitoring system (104) studies the captured electrical parameters and calculates multiple values like active, reactive, apparent power, active energy, apparent energy, power factor and required capacitor value. From the calculated values the aeration monitoring system (104) identifies different types of faults like power faults, aerator faults, generator faults and excess KVA usage and notifies the faults to the user (farmer) instantaneously. By the identified fault information, the user is initially alerted by local siren/hotter (108) by providing a local annunciation. Further a phone call is initiated to the user when the fault alert is not acknowledged locally by pressing the acknowledge button provided on the aeration monitoring system (104) by the farm executive. Further the user may receive a phone call even after the executive acknowledges by pressing the button provided on the aeration monitoring system. Along with this the user (farmer) is also notified with the fault information through app notification to the user’s mobile application for which the user has access.

Further, all the captured data is transferred to the server (110) through Wi-Fi over the internet (106) from the aeration monitoring system (104) and then the server (110) consolidates the data. The said consolidated data from the server (110) is stored in a database (112) as per site ID and device ID and synchronizes the same data to the user’s mobile application (114). The consolidated data from the server (110) transfers the electrical parameters of all the farms and fault information to the user’s mobile application (114) for which the user has access. Further, the data collected and stored in a database (112) associated with the server (110) would be used to determine the power consumed by the aeration monitoring system (102). Further, at the server end (110) the data would be used for data analytics to identify the aerator usage pattern and could predict the current stage of the farm, wherein the stages include pond preparation; water pumping; dichlorination; seed stocking and feeding; and harvesting.
The mobile application (114) is provided with a user interface, where the user could perform several activities, including monitoring the farms live status; monitoring the farms electrical parameters like current, voltage, power, energy, power factor (PF) and power source in real time; examining the aeration monitoring system (104) historical data for the entire crop duration; and configuring the active time to receive the faults and set the threshold values for each type of fault. The aeration monitoring system (104) would be facilitated with a provision to configure the active time to receive the faults and set the threshold/reference values for each type of fault using the reference value menu by the user through an interface of the mobile application (114). Further, the mobile application (114) receives configurations and threshold value settings from the end user and transfers it to the server (110) and the server (110) transfers the same data to the aeration monitoring system (104).
FIG. 2 illustrates a flow diagram (200) depicting the functions performed by the aeration monitoring system according to the present invention. The aerator monitoring system (104) has an inbuilt algorithm that performs several functions like reading, calculating, operating, identifying and creating alarm with the input data i.e., the electrical parameters received from the aquaculture farm and outputs the calculated values and fault notification to the user.

The aerator monitoring system (104) takes input in the form of electrical parameters like current from the three-phase AC lines, three phase voltage from the transformer and voltage from the power generator of the aquaculture farm. The system reads the three-phase voltage and current. From the read electrical parameters the algorithm calculates multiple values like active, reactive, apparent power, active energy, apparent energy, power factor and required capacitor value to maintain power factor near to unity. From the calculated values the algorithm identifies and outputs different types of faults like power faults, aerator faults, generator faults and excess KVA usage and notifies the faults to the user instantaneously by way of phone calls and/or with app notification and/or by the annunciation hooter siren.

Along with this the user transfers configurations and commands to the aeration monitoring system (104) by the said mobile application (114) for notifying the alerts to the user. The mobile application (114) receives configurations and threshold value settings from the end user and transfers it to the server (110) and the server (110) transfers the same data to the aeration monitoring system (104).
FIG. 3 illustrates an information flow diagram (300) depicting of transmitting information from the aeration monitoring system to server, database and mobile application according to the present invention. The aeration monitoring system (104) reads and captures the electrical parameters just like an energy meter. From the captured electrical parameters, the aeration monitoring system (104) calculates multiple values and identifies different types of faults and alerts all the faults to the user by Local siren/Hooter and by notification through the mobile app (114). The captured data, calculated values and faults are transferred to the server (110) through Wi-Fi over the internet. The server (110) then consolidates the data and stores the said consolidated data in a database as per site ID and device ID and synchronizes the same data to the user’s mobile application (114). The mobile application (114) receives configurations and threshold value settings from the end user and transfers it to the server (110) and the server (110) transfers the same data to the aeration monitoring system (104).

FIG. 4A to 4L illustrates a screenshot (400) of a mobile application allied with the aeration monitoring system where user can perform several activities and view the required farm data according to the present invention. The mobile application provides a user interface to the user where the user can perform several activities such as a) monitor the aquaculture farm live status, b) monitor the sites power parameters like current, voltage, power, energy and power factor in real time, c) receiving the notification for faults like aerator fault, power fault or generator fault, d) receiving the indication of power source that is being used like mains/grid or generator along with historical power usage report, e) checking aeration history for the entire crop duration, f) configuring the active time to receive the faults and set the threshold values for each type of fault and g) granting access for his/her team and setting the calling number list.

The user (farmer) would be able to download the designed mobile application from the app store and then login with his mobile number and in turn receives a unique OTP that is sent to his/her mobile number for authentication as shown in Fig. 4A. After successful login, the application would display the list of all the sites for which the user has as access to as shown in Fig. 4B. The user on selecting particular site the application displays the real time data from all the aeration monitoring systems (104) in the site as shown in Fig. 4B and the user can monitor power-related data like current, voltage, power factor, running KVA and source of power, etc on the mobile application as shown in Fig. 4B.

The mobile application also displays the faults occurred in the farm, the faults such as power, aerator, capacitor, KVA and power factor. In the mobile application the user is provided to view the history of faults occurred in the farm. The aerator faults are displayed in red colour and the generator faults in blue colour as shown in Fig. 4C.

From the mobile application, the user can configure the active time to receive the faults and set the threshold values for each type of fault using configuration menu from the application as shown in Fig. 4D & 4E. The user can configure settings like active time, it is the time slot that is set between the start time and end time, the faults and calls for faults will be generated only during the active time that is configured by the user. Further, the user can configure the time to wait before the device initiates the call when the aerator fault occurs.

The user can configure the generator switch ON fault, i.e. if power runs out and generator is not switched on how long the aeration monitoring system should wait to generate the fault to notify the user. Along with this the user can configure the power generator fault, i.e. in how many minutes does user wants to receive a call if both power and generator both are ON and wants to receive a call to be generated even after the site executive pressed the acknowledge button. Further, the user can configure to notify the power faults only during active time or always.

Further, the user is provided with a configuration menu in the mobile application where user can configure to grant app access for mobile numbers with only viewing mode as shown in Fig. 4F. Further, the user can add or remove numbers from call access list and ass up to four mobile numbers who can receive calls from the server with a hierarchy, so that if one person answers the call, the next person won't be contacted. The call will not be generated if any of the listed numbers has a DND issue.

As shown in Fig. 4G user can configure to set threshold/reference values for fault generation
using reference value menu and can check history of reference commands sent till date along with the information of who has sent the command as shown in Fig. 4H. In the Figs. 4I and 4J the mobile application provides the power status report that show the entire power status of the site including the number of hours the site was without power, the number of hours it used electricity from the electricity board, and the number of hours the generator was operated. This power status report helps in determining how much fuel has been consumed by generator. The mobile application is also provided with a fault info tab where it displays the list of all faults generated in the selected date. Further, the user can view who has answered the call for any call generated for a fault. With the provided date selector the user can travel back in the time and check the historical data.

The mobile application is also provided with a device info tab and device status tab as shown in Fig. 4k. in the app device info tab, advanced option provides information about the device, such as which Wi-Fi network the aeration monitoring system is connected, the RSSI value, the reason the aeration monitoring system is reset and etc. The user can also check the device's GPS location, and the firmware version as shown in Fig. 4L.

In one embodiment, the aquaculture farming involves several stages, during each stage of aquaculture farming the usage of aerators changes, so if the user know how many and when aerators are used the user can predict the current stage of the farm.

To predict the current stage of the farm, the aeration monitoring system captures and transmits all the electrical parameters of the farm to the server. At the server side, the data analytics is performed to identify the aerator usage pattern and then predicts the current stage of the farm. The typical aerator usage during each stage of the farm is described below.

In the pond preparation stage, which is a critical step in aquaculture farming, as it sets the stage for the successful growth and development of fish or other aquatic organisms. Pond preparation involves several steps like pond cleaning, soil conditioning, liming, fertilization. During pond preparation aerators are not used so the power consumption by aerators will be zero. As inducted in the image below.

In water pumping stage, which is a critical component of shrimp farming that ensures the maintenance of water quality and the provision of optimal conditions for shrimp growth and survival. During this stage, the water pumps will be constantly running to pump the water and fill the ponds. The minimum current drop if the pump switches off is 5 Amps and current consumption is also constant, the graph below shows the power consumption during the water pumping stage.

In dichlorination stage, which is a process used in aqua shrimp farming to disinfect water before it is introduced to the pond. The process involves using chlorine to kill bacteria, viruses, and other harmful microorganisms that may be present in the water. The bleach solution is typically allowed to sit for several hours before being flushed out of the pond with clean water. The aerators should be operating for at least 12 hours a day during the dichlorination stage. The graph below shows power consumption during the dichlorination stage.

In seed stocking & feeding stage, which is a critical step in the aquaculture production cycle, and the success of the shrimp farming operation depends on the quality of the shrimp seed, the stocking density, and the management practices employed during the stocking phase. Proper shrimp seed stocking can help ensure the production of healthy, high-quality shrimp and maximize the profitability of the shrimp farming operation. Aeration plays a vital role during seed stocking and feeding days, the aeration is low as compared with high count time. That means power consumption is also low compared with the high-count days. During high-count days, the aeration is also increased to maintain DO as required, which will increase the power consumption. The graph below shows power consumption during the seed stocking and feeding stage respectively.

Finally, in the harvesting stage once the shrimps have reached maturity, they are ready for harvesting. This involves removing them from the ponds or tanks and processing them for sale or consumption. The aerators and pumps are all turned off during the harvest stage, so there is no power consumption in the site. The graph below shows power consumption during the harvest stage.

In other embodiment, the user is provided with a graph view where user is allowed to view the current (Load), KVA, PF, along with fault and call generated for a selected aerator monitoring system in last 24 hours. The coloured dots shown in the below image indicates the faults and call generated at that particular date and time. With the provided date selector the user can travel back in the time and check the historical data.

While specific embodiments of the invention have been shown and described in detail to illustrate the inventive principles, it will be understood that the invention may be embodies otherwise without departing from such principles.
,CLAIMS:1. A method to monitor power and predict faults for aerators used in aquaculture ponds, the method for execution on an aeration monitoring system (104) comprising:
monitoring, capturing and studying the electrical parameters like current from the three-phase AC lines, three phase voltage from the transformer (102) and voltage from the power generator of the aquaculture farm;
calculating multiple values like active, reactive, apparent power, active energy, apparent energy, power factor and required capacitor value from the captured electrical parameters;
identifying different types of faults like power faults, aerator faults, generator faults and excess KVA usage from the calculated values and notifying the faults to the user instantaneously;
alerting the user by local siren/hotter (108) by a local annunciation and/or notifying the concerned person through app notification and/or phone call;
transferring all the captured farm data to a server (110) through Wi-Fi (106) over the internet and then the server (110) consolidates the data;
storing the said consolidated data in a database (112) as per site ID and device ID and synchronizing the same data to the user’s mobile application (114); and
transferring configurations and commands to the aeration monitoring system (104) by the said mobile application (114) for notifying the alerts to the user.

2. The method as claimed in claim 1, wherein mounting the aeration monitoring system (104) and an Automated Power Factor Controller (APFC) (109) on an electrical panel where the energy meter is mounted.

3. The method as claimed in claim 2, wherein the APFC (109) operates the capacitors and maintain the power factor near to unity by switching the capacitor ON or OFF depending on the load and desired power factor.

4. The method as claimed in claim 1, wherein aeration monitoring system (104) transfers the electrical parameters from the farm and fault information to the server (110), wherein the electrical parameters include like current, voltage, power energy, power factor (PF) and power source.

5. The method as claimed in claim 1, wherein the server (110) consolidates the data and transfers the electrical parameters of all the farms and fault information to the user’s mobile application (114) for which the user has access.

6. The method as claimed in claim 1, wherein the mobile application (114) receives configurations and threshold value settings from the end user and transfers it to the server (110) and the server (110) transfers the same data to the aeration monitoring system (104).

7. The method as claimed in claim 1, wherein the aeration monitoring system (104) would be facilitated with a provision to configure the active time to receive the faults and set the threshold/reference values for each type of fault using reference value menu by the user through an interface of the mobile application (114).

8. The method as claimed in claim 1, wherein the data collected and stored in a database (112) associated with the server (110) would be used to determine the power consumed by the aquaculture farm equipment’s.

9. The method as claimed in claim 1, wherein the data is transmitted to the server (110) from the aeration monitoring system (104), at the server (110) the data would be used for data analytics to identify the aerator usage pattern and could predict the current stage of the farm, wherein the stages include:
pond preparation;
water pumping;
dichlorination;
seed stocking and feeding; and
harvesting.

10. The method as claimed in claim 1, wherein initiating a phone call to the user when the fault alert is not acknowledged locally by pressing the acknowledge button provided on the aeration monitoring system (104) by the farm executive or receives a phone call even after pressing the acknowledge button if it is configured to do so.

11. An aeration monitoring system (104) to monitor power and predict fault for pond aerators used in aquaculture, comprising:
an electronic board with energy monitoring IC and a Wi-Fi connectivity module; current transformers (Split core CTs) connected to farm power transformer power lines (102); an Automated Power Factor Controller (APFC) system (109); a hooter (108); a server (110); a database (112) and a mobile application (114) allied with the aeration monitoring system (104) is configured to perform a method comprising:
monitoring, capturing and studying the electrical parameters like current from the three-phase AC lines, three phase voltage from the transformer (102) and voltage from the power generator of the aquaculture farm;
calculating multiple values like active, reactive, apparent power, active energy, apparent energy, power factor and required capacitor value to maintain power factor near to unity;
identifying different types of faults like power faults, aerator faults, generator faults and excess KVA usage from the calculated values and notifying the faults to the user instantaneously;
alerting the user by local siren/hotter (108) for a local annunciation and notifying through a mobile application (114) and phone call that is allied with the aeration monitoring system (104);
transferring all the captured farm data to a server (110) through Wi-Fi (106) over the internet and then the server (110) consolidates the data;
storing the said consolidated data in a database (112) as per site ID and device ID and synchronizing the same data to the user’s mobile application (114); and
transferring configurations and commands to the aeration monitoring system (104) by the said mobile application (114) for notifying the alerts to the user.

12. The system (104) as claimed in claim 11, wherein the user is alerted by way of phone calls and/or with app notification and/or by the annunciation hooter siren (108).

13. The system as claimed in claim 11, wherein the mobile application (114) provides a user interface to perform several activities including:
monitor the farms live status;
monitor the farms electrical parameters like current, voltage, power energy, power factor (PF) and power source in real time;
examine the aeration monitoring system (104) historical data for the entire crop duration; and
configure the active time to receive the faults and set the threshold values for each type of fault.

14. The system as claimed in claim 11, wherein the mobile application (114) notifies and displays faults that occurred at the farm in real time, wherein the faults include power faults, aerator faults, capacitor faults, KVA faults and power factor faults.

15. The system as claimed in claim 11, wherein the user can check the historical data of reference commands that are inputted to the system till date with the information of the concerned person who has inputted the command.

16. The system as claimed in claim 11, wherein the user through the mobile application (114) can view a graph that allows user to view the current (Load), KVA, PF, along with fault and call generated for a selected aeration monitoring system in last 24 hours and data since the crop is initiated.