DESC:FIELD OF INVENTION
The present invention relates to a water quality analysis. More particularly, this invention relates to real-time remote water biological quality monitoring system for counting, estimating, and analysing of particles suspended in a water with the help of biomonitoring of diatoms.
BACKGROUND OF THE INVENTION
The water on the surface of the earth is mainly found in its oceans, accounting for about 97.25% of water. The remaining 2-3% of water is available in polar ice caps and glaciers, with the balance being found in freshwater lakes, rivers, and groundwater. As the earth's population continues to grow and demand for fresh water increases, water purification and recycling become increasingly important. In some industries, the purity requirements for water exceed those for human consumption. However, there are limited sources of freshwater available in nature that are unable to fulfill user demands. On the other hand, there is a vast amount of water available in the oceans, but this seawater contains large quantities of dissolved salts. Therefore, to make this seawater usable, it must be desalinated, which is a tedious and expensive process. Desalinated water from seawater is not always a convenient or preferred option. Hence, there is a need to preserve freshwater sources from being contaminated by bacterial pollutants resulting from human activities. Due to massive human intervention, freshwater sources and storage are often contaminated with different contaminants. Therefore, to ensure that the water is safe for use, water samples need to undergo several water quality tests to check different parameters of the water.
There is a wide range of water quality tests that scientists, researchers, and experts perform on various water samples to determine their quality. These tests provide valuable information about the safety of water for consumption and its usefulness for specific purposes. Water is not only used for regular household purposes but also in sensitive healthcare fields where water purity is critical. Therefore, several water tests are necessary to determine the exact condition or purity of the water. Specifically, different types of tests help determine if any specific contaminants are infecting any water bodies and how they can be further treated. However, performing these tests and analysing water samples requires a specific laboratory equipped with advanced machinery and skilled expertise. To conduct different types of tests, users require sufficient time to obtain the most accurate results with minimal errors
Due to these limitations most of the water quality analysis is normally performed in a laboratory rather than the environment where the water is collected. In present conditions the water quality monitoring facilitators do not provide real-time information of the water sample which is to be analysed and factors affecting the water health of the water body which are not taken into account. The limited collection sites must be relatively easy and quick for people to reach, thereby not necessarily representing the most interesting or at-risk areas. Due to these reasons biological water quality testing is infrequent, geographically limited, human-dependent and it is expensive.
Conventional water quality monitoring methods involve laboratory testing of water quality parameters, including chemical, physical, and biological properties, based on the desired parameters of concern. Frequently sampled or monitored parameters for water quality include temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity. However, water monitoring tests may also involve measuring total algae (including blue-green algae), ammonia, nitrate, chloride, or laboratory parameters such as BOD, COD, or TOC in order to monitor water pollution levels. This complex task requires a significant amount of human effort and the use of expensive instruments to collect and monitor data from various water samples. As a result, some water quality monitoring tests are difficult to perform without laboratory equipment.
In most scenarios, water quality monitoring tests take anywhere between a few hours to around three to five days to complete, depending on the parameters that need to be tested in water samples. However, these tests, making it difficult for researchers or scientists to make correct decisions about the effects of contaminants on the water sample. Another challenge in water quality monitoring tests is that the water pollution level may change again by the time users receive the results of the water samples, especially if collecting the samples is a monthly activity. Currently, there is no stand-alone product that can display all parameters such as chemical, physical, and biological properties at the same time. Hence, an expert is needed to carry out the required analysis and an intelligent system is necessary to perform a number of tests to obtain explicit results from the water quality tests in a minimum amount of time.
The current water quality measurement systems that are related to biological water content face several challenges, including the lack of real-time sensing capability, and the requirement for human personnel for water sample collection. In addition, performing advanced tests requires the expertise of trained professionals. Furthermore, some specific tests require the preparation of culture samples which can be time-consuming and require expensive reagents or other consumables. Limited availability of these consumables can delay the preparation of effective culture samples, resulting in inaccurate results. Moreover, the high maintenance cost and immovability of the large laboratory equipment required for water quality analysis make it more expensive. However, as the machined analysis provides more accurate results compared to manual analysis, it is preferred despite its complexity.
There is another problem associated with traditional methods of water quality testing. For in-depth analysis, most tests are laboratory-based, requiring an expert to collect water samples in the field and bring them back to the lab for analysis. If the laboratory is located far from the water source, it can take several days to transport the water sample for testing. Additionally, high-frequency multi-parameter water quality monitoring programs require significant human effort and the use of expensive instruments, with testing taking anywhere from a few hours to three to four working days to complete. Some parameters, such as E. coli and residual chemicals, must be tested within 24 hours or the test results may be unreliable. Delays in obtaining test results can lead to false readings, resulting in inaccurate water quality analysis. Therefore, real-time testing is essential for obtaining accurate results.
Accordingly, there is a need for a device or system that can overcome the lack of real-time sensing and eliminate the need for dedicated personnel to collect water samples, as well as the need for expensive high-tech laboratory equipment and expertise to conduct tests. This device or system would provide an alternative solution to conventional methods and to overcome the aforementioned limitations.
For the reasons stated above, which will become apparent to those skilled in the art upon reading and understanding the specification, there is a need in the art for a device of water quality analysis which can perform real-time testing for remote water biological quality monitoring by counting, estimating, and analysing of particles suspended in a water with the help of biomonitoring diatoms analysis. The devices that is useable, scalable and independent of complicated technological mechanism, uses minimum resources, that is easy to use and economical to maintained along with that it is portable and can be deployed anywhere in very little time.

OBJECT OF THE INVENTION
An object of the present invention is to provide device in best possible way to achieve many objectives as the respective industry demands in most user-friendly way.
An object of the present invention is to provide portable device for real time testing for water quality analysis with the help of biomonitoring diatoms analysis incorporating Artificial Intelligence.
Yet another object of the present invention is to provide portable device for real time testing for water quality analysis with the help of biomonitoring diatoms without sending a water sample to high tech laboratories.
Yet another object of the present invention is to provide portable device for real time testing for water quality analysis with the help of biomonitoring diatoms without the need of expertise.
Yet another object of the present invention is to provide portable device for real time testing for water quality analysis for obtaining multi-parameters of the water sample in a single operation testing.
Yet another object of the present invention is to provide portable device for real time testing for water quality analysis in low maintenance cost.
Yet another object of the present invention is to provide portable device for real time testing for water quality analysis with data logging where the data is stored real-time.
SUMMARY OF THE INVENTION
Accordingly, the present invention provides real-time remote water quality monitoring system (hereinafter system) for counting, estimating, and analysing of particles suspended in a water with the help of biomonitoring of diatoms. The system comprises a plurality of sensors, at least one controller, at least one memory or storage unit , at least one database, at least one server module, at least one web application, at least one data visualization module, at least one inlet to fetch the water sample in system, at least one filter, at least one micropump , at least one microfluidic chip , at least one heating chip , at least one centrifugation unit , at least one distilled water storage , at least one clear plate, at least one Charge Couple Device camera (CCD camera) and at least one outlet for removal of water sample from the system.
According to present invention the in initial stage the provided inlet accepts 2 ml of water sample. In next process the water sample passed through the filter for removing unnecessary particles from the water sample. Further the water sample is processed through the pH sensor, temperature sensor, turbidity sensor and conductivity sensor to obtain the data of water sample. In next process the water sample is then passed to the microfluidics chip with the help of the micropump. The micropump pumps both the water sample from the container and acid from acid container from which the sample is pumped out with the help of a syringe pump which pumps both the sample and the acid stored in the acid container. In further process the microfluidic chip is heated for about 5 mins with the help of heating chip to make sure that the organic content is removed from the water sample. In next process the water sample is processed with centrifugation unit to remove acid debris from water sample. After that the water sample is mixed with distilled water and dispatch to a clear plate to capture high resolution images of water sample. In this system above the clear plate a there is camera device is mounted to take high resolution images and water sample is taken out from the system with the help of provided outlet.
In further process the data obtained from the sensor and high-resolution images captured from the camera are all processed, stored and sent to the cloud with the help of the data controller. The controller transferring all the necessary information to the cloud database where cloud-based platform the AI module is triggered, the AI module runs over all the images to detect the diatoms present in the image and classifies them based on their internal feature, the model also calculates the relative abundance of each diatom taxa group detected for a particular sample. In next process the relative abundance of each group of taxa is then fed to a statistical model which refers to the Van Dam ecological groups which consists of ecological group each representing a range of environmental conditions. The Van Dam scores are then added to calculate the Eutrophication percentage which indicates that at what level water body is enriched with nutrients. From this result the final report is showcased on the dashboard consists of details of the diatomic species identified with the eutrophication percentage calculated, this report indicates the pollution level of the water sample.
In another aspect, the present invention provides a method for real-time water quality anlysis system with the help of biomonitoring of diatoms
BRIEF DESCRIPTION OF THE DRAWINGS
The embodiments can be better understood with reference to the following drawings and description. The components in the figures are not necessarily to scale, the emphasis instead being placed upon illustrating the principles of the embodiments. Moreover, the figures, like reference numerals designate corresponding parts throughout the different views.
Reference will be made to embodiments of the invention, examples of which may be illustrated in the accompanying figures. These figures are intended to be illustrative, not limiting. Although the invention is generally described in the context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments.
The above and other objects, features, and advantages of the present invention will be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
Figure 1 illustrates a block representation of a system for real time water quality analysis according to an exemplary implementation of one of the embodiments of the present invention.
Figure 2 illustrates an operational flow of the system for real time water quality analysis according to an exemplary implementation of one of the embodiments of the present invention.
Figure 3 to 6 illustrates an AI model prediction image of species by system of a real time water quality analysis according to an exemplary implementation of one of the embodiments of the present invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention is about a water quality analysis. More specifically, this invention provides real-time remote water biological quality monitoring, counting, estimating, and analysing of particles present in a water with the help of biomonitoring of diatoms analysis. The disclosed system is capable of delivering early warning for change in water quality. The disclosed system performing water quality analysis by taking into account the abundance of diatoms which is a bioindicator sensitive to the content of water as the growth response of diatoms is directly affected by the changes in the nutrient concentration of the water.
In the following description, for the purpose of explanation, specific details are set forth in order to provide an understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these details. One skilled in the art will recognize that embodiments of the present invention, some of which are described below, may be incorporated into a number of systems.
The various embodiments of the present invention provide a system and method for real-time remote water biological quality monitoring system by counting, estimating, and analysing of particles suspended in a water with the help of biomonitoring diatoms analysis which provide a complete package of sample processing hardware with an image processing software that delivers a complete report within considerably less time as compared to the traditional methods.
Furthermore, connections between components and/or modules within the figures are not intended to be limited to direct connections. Rather, these components and modules may be modified, re-formatted or otherwise changed by intermediary components and modules.
The systems/device and methods described herein are explained using examples with specific details for better understanding. However, the disclosed embodiments can be worked on by a person skilled in the art without the use of these specific details.
Throughout this application, with respect to all reasonable derivatives of such terms, and unless otherwise specified (and/or unless the particular context clearly dictates otherwise), each usage of:
“a” or “an” is meant to read as “at least one.”
“the” is meant to be read as “the at least one.”
References in the present invention to “one embodiment” or “an embodiment” mean that a particular feature, structure, characteristic, or function described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
Embodiments of the present invention include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, firmware and/or by human operators.
Various methods described herein may be practiced by combining one or more machine-readable storage media containing the code according to the present invention with appropriate standard computer hardware to execute the code contained therein. An apparatus for practicing various embodiments of the present invention may involve one or more computers (or one or more processors within a single computer) and storage systems containing or having network interface to computer program(s) coded in accordance with various methods described herein, and the method steps of the invention could be accomplished by modules, routines, subroutines, or subparts of a computer program product.
In some embodiments, the systems may be configured as a distributed system where one or more components of the system are distributed across one or more networks in a cloud computing system.
If the specification states a component or feature "may' can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
As used in the description herein and throughout the claims that follow, the meaning of "a, an," and "the" includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
Exemplary embodiments will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. These embodiments are provided so that this invention will be thorough and complete and will fully convey the scope of the invention to those of ordinary skill in the art. Moreover, all statements herein reciting embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future (i.e., any elements developed that perform the same function, regardless of structure).
Hereinafter, embodiments will be described in detail. For clarity of the description, known constructions and functions will be omitted. Parts of the description may be presented in terms of operations performed by an Electrical/Electronic system, using terms such as state, fault, packet and the like, consistent with the manner commonly employed by those skilled in the art to convey the substance of their work to others skilled in the art. As is well understood by those skilled in the art, these quantities take the form of data stored/transferred in the form of electrical, magnetic, or optical signals capable of being stored, transferred, combined, and otherwise manipulated through mechanical and electrical components of the electronic/electrical systems; and the term electronic/electrical/computer system includes general purpose as well as special purpose data processing machines, switches, and the like, that are standalone, adjunct or embedded.
While embodiments of the present invention have been illustrated and described, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the scope of the invention, as described in the claim.
In an embodiment the present invention provides a system and method for real-time water quality analysis for monitoring of water sample. More particularly it is related to a biomonitoring of a diatoms through AI module which delivering early warning for change in water quality. Due to which it can predict the water quality and gives suggestion of water is safe to use.
In an embodiment the present invention provides a system and method for real-time water quality analysis for monitoring of water sample the disclosed system is useable, scalable and independent of complicated technological mechanism, uses minimum resources that is easy and cost effectively maintained and is portable and can be deployed anywhere in very little time.
The present invention is illustrated with reference to the accompanying drawings, throughout which reference numbers indicate corresponding parts in the various figures. These reference numbers are shown in bracket in the following description. Table below enlists the reference numerals and components indicated by them:
Table:
Component Number Component Name Component Number Component Name
300 Real Time Water Quality Analysis System 150 Device for Real Time Water Quality Analysis
100 Inlet 200 Server
101 Filter
102 Storage container
103 pH sensor
104 Temperature sensor
105 Turbidity
106 Conductivity
107 Acid Container
108 First Micropump
109 Microfluidic Chip
110 Heating Chip
111 Second Micropump
112 Centrifugation Unit
113 Distilled Water Storage
114 Clear Plate
115 Camera Device
116 Outlet
117 Controller
Referring to figures from 1 to 6, a system for providing a real time water quality analysis (300) (‘the system (300)’ hereinafter) is shown, in accordance with the present invention. The system (300) comprises of a real time sensing device (150) (hereinafter “the device (150)”) coupled to a server (200) via a communication network.
The device (150) comprises a controller operably coupled to a plurality of sensors and a display unit. The controller is configured with a memory unit in communication with a processor. The processor unit is configured with an application for receiving and processing and storing the output from the plurality of the sensors. The processed results are further stored and communicated with the server via the communication network.
The device further comprises at least one inlet to fetch the water sample in fluid communication with a filter, at least one micro-pump, in the vicinity of at least one microfluidic chip equipped with at least one heating chip, at least one centrifugation unit in fluid communication with at least one distilled water storage, at least one clear plate in close proximity with an image capturing unit or camera device. The device further comprises at least one an outlet for the removal of water sample therefrom.
In the embodiment, the inlet (100) is provided for receiving water sample of a quantity sufficient for analysing different quality parameters thereof. The parameters are taken by the plurality of sensors configured within the device (150). The filter (101) configured in the outlet side of the inlet is capable of removing unnecessary particles from the water sample which may mislead the test results in the subsequent stages. The filter outlet fluidly connected to a storage container (102) carries the plurality sensors thereon. The storage container (102) receives the filtered sample water from the filter (101) and allows the plurality of the sensors to measure the respective quality parameters of the water contained therein.
In the embodiment, the plurality of sensors includes a pH sensor (103), a temperature sensor (104), a turbidity sensor (105) and a conductivity sensor (106). In an embodiment of the invention, the pH sensor (103) is configured to measure the pH value of the sample water. The temperature sensor (104) is configured to measure the temperature of the water sample. The turbidity sensor (105) is configured to determine the turbidity level in water sample and the conductivity sensor (106) is configured for measuring the conductivity of sample water. In the embodiment, the plurality of sensors are mounted on a suitable place on the storage container (102).
The storage container (102) is further fluidly coupled to an inlet of a first micro-pump (108) that pumps water from the storage container to the microfluidic chip (109). This allows a passage of the sample water through the microfluidic chip (109). In an embodiment of the invention, the first micro pump (108) is also in communication with acid container (107) and water storage container (102) water sample from water storage container (102) and acid from acid container (107) together pumps a mixture of the acid and water on a dispatch to a microfluidic chip (109). The microfluidic chip (109) is configured with a heater module. In the embodiment, the acid container (107) is provided wherein acid is stored for treating the water sample.
The microfluidic chip (109) is assembled in association with a heating chip (110) that is configured for heating water sample for about 5 mins. This process ensures the removal of presence of any organic content therein and readiness of the water sample for the further stages of treatment and analysis.
In one of the exemplary embodiments of the present invention, the first micro-pump (108) is a syringe pump which pumps mixture of the water sample and the acid stored in the acid container (107).
The microfluidic chip (109) is succeeded by a centrifugation unit (112) that receives the sample water from the microfluidic chip (109) by means of a second micro-pump (111). The centrifugation unit (112) is in fluid communication with a distilled water storage (113) that supplies distilled water. This distilled water is mixed with the water sample which is received from a microfluidic chip (109). The centrifugation unit (112) is provided to separate fluids of different densities or liquids from solids from the water sample. The centrifugation process is performed to remove any acid debris present in the water sample.
In the disclosed system (300), heated water sample is then taken out of the microfluidic chip (109) by using the second micropump (111) and after that it is transferred or dispatched to centrifugation unit (112). Before transferring the water sample to centrifugation unit (112) the sample water is mixed with a distilled water which is stored in distilled water storage (113).
In an embodiment of the present invention, a clear plate (114) is provided for receiving the sample water from the after-centrifugation process. In the embodiment, the clear plate (114) is mounted in close proximity with an image capturing unit. In a specific embodiment, the camera device (115) is a charge couple device camera - CCD camera with a lens. This camera device (115) is mounted on clear plate (114) to take high resolution images of the processed water sample. The clear plate (114) is fluidly connected to the outlet (116) of the device (150) that removes the sample water from the clear plate after use.
In an embodiment of the present invention, the camera device (115) is communicatively coupled to the controller (117) which is further coupled to a communication network via a communication module. The controller (117) comprises of a processor in communication with a storage unit for data storage, a power source, and a communication module. In an embodiment of the present invention, the controller (117) in the device (150) is coupled to the server (200) having a least one processor in communication with a storage medium. The server (200) is configured with a database containing a training set and an application platform for receiving and processing the data from the device (150).
In accordance with an implementation of the present invention, an operation of the system (300) is explained in consistent with and embodiment as illustrated in the diagrams. The device (150) is configured for measuring a plurality of quality parameters of the sample water received via the inlet (100) and it is given for further processing by the controller (117). The device (150) also extracts images of heated and chemical treated water sample from the clear plate (114) and set for image-based quality analysis by biomonitoring of diatoms. The data received from the plurality of sensors and images captured from the camera device (115) are all processed, stored and sent to the server (200) via the communication network. The provided controller (117) is responsible for functioning all the individual elements in the system (300) sequentially and also transferring all the observed information to the server (200) containing database through communication module. On receiving the data from the plurality of sensors (103, 104, 105, 106) and camera device (115) the Artificial Intelligence (hereinafter AI) module in the server initiate the analysis of this input data. The analysis includes detecting the diatoms present in the images and classifies them based on their internal feature. The provided AI module also calculates the relative abundance of each diatom taxa group detected for a particular water sample.
In accordance with the present invention the relative abundance of each group of taxa is then fed to a statistical model which refers to the Van Dam ecological groups which consists of ecological group each representing a range of environmental conditions. The groups are assigned a score on a scale of 1 to 5, 1 indicating the diatoms groups found in low nutrient water sample and 5 given to the group of diatoms found in higher nutrient water sample. In the disclosed system (300) the Van Dam scores are then added to calculate the Eutrophication percentage which indicates that the water sample is how much enriched with nutrients from which it can easily predict that at what level the water body is pure or impure.
In this disclosed system the display unit is provided on the device (150) wherein the final report displayed on the dashboard consists of the eutrophication percentage, if the eutrophication percentage is higher, in that scenario more heavier pollutants tends to be present in the water body. On the other hand, if the eutrophication percentage is lower in that scenario less pollutants tend to be present in the water body. The final report showcased on the dashboard consists of details of the diatomic species identified with the eutrophication percentage calculated, this report indicates the final result for the pollution level of the water sample.
In another aspect, the present invention provides a method for real-time water quality monitoring system with the help of image analysis. The method is described hereinafter in conjunction with the system (300). In initial stage, there is an inlet (100) provided which accepts about 2 ml of water sample. Thereafter the water sample is passed through the filter (101) which removes unnecessary particles from the water sample. In further process, the water sample is treated with pH sensor (103), temperature sensor (104), turbidity sensor (105) and conductivity sensor (106) to obtain the pH level of water sample, temperature of water sample, turbidity present in the water sample and conductivity of the water sample. In next process, with the help of first micropump (108) the water sample is passed through the microfluidic chip (109) where the water sample is mixed with acid from which the acid is stored in acid container (107). In further process the microfluidic chip wherein mixture of water sample and acid (109) is heated for about 5 mins with the help of heating chip (109). In further process heated water sample is then taken out of the microfluidic chip (109) with the second micropump (111) and after that it is transferred to centrifugation unit (112). Before transferring the water sample to centrifugation unit (112) it is mixed with a distilled water which is stored in distilled water storage (113).
In disclosed method, the further process is carried out after centrifugation process wherein the complete water sample is sent to a clear plate (114). On a clear plate the high-resolution images are captured of complete water sample with the help of camera device (115).
In disclosed method, the further process is carried out by the AI module which initiate the analysis of data for the images to detect the diatoms present in the image and classifies them based on their internal feature. The provided AI module calculates the relative abundance of each diatom taxa group detected for a particular sample and fed to a statistical model which refers to the Van Dam ecological groups which consists of ecological group each representing a range of environmental conditions. In further process Van Dam scores are then added to calculate the Eutrophication percentage which indicates that the water sample is how much enriched with nutrients from which it can easily predict that at what level the water body is contaminated. The final report showcased on the dashboard of a display unit which provides details of the diatomic species identified with the eutrophication percentage calculated by the system, this report indicates the pollution level of the water sample.
The system for real-time sensing remote quality monitoring to an exemplary implementation of one of the embodiments of the present invention comprises at least one controller having at least one processer and at least one memory communicatively coupled to it to store the instructions and data that at least one processer of the controller is configured to process the. The controller having the different actuating device for controlling the system. The controller is electrically coupled to the plurality of sensors. The plurality of sensors detects and /or measures the plurality of parameters and converts them into proportionate electrical signals and communicate said electrical signals to the controller. The controller includes any one of the high-speed processor circuits selected from a microprocessor, a microcontroller and a graphical controller or a combination thereof. The controller is configured with onboard Wi-Fi, Bluetooth connectivity and supports a number of peripherals. The controller is configured in communication with the plurality of sensors such that it can receive the captured parameters in the form of proportionate electrical signals in real time and analyse and process them. The controller is communicatively coupled to the at least one database and communicates the processed signal information to the at least one database from the cloud-based server where AI module is stored with the help of storage module or memory.
In Figure 3 to Figure 6 illustrates AI model prediction images of species. From these identified species using statistical indices the quality of water can be indicated
In this disclosed portable instruments or device, it can be important to optimize these components to result in a light weight and compact instrument than nonetheless maintains high performance. As water quality analysis in general has become compatible with larger analytes, The water quality analysis has been applied frequently in laboratory settings to identify macromolecules or even larger analytes in biological and chemical samples. In the post-genomic era, there is more interest than ever in the characterization of increasingly massive macromolecular assemblies, and even larger bioparticles such as viruses and whole cells. Prior to this invention, the upper bound of the size of analytes suitable for water quality analysis with a portable instrument was limited, and the ability to analyse macromolecules without artificial intelligence was even more limited. Therefore, it was difficult or impossible to perform water quality analysis with large equipment outside of a laboratory setting for example, in forensic, ecological, environmental, anthropological, and archaeological field work, in mobile medical settings such as a van-based clinical or screening enterprise or in developing nations, and in screening for pollutants or contaminants, e.g., for security, food safety, or environmental protection purposes. However, the rewards of such portable technology can include making its analytical power more accessible in a more rapid manner. The reduction in space and cost from a portable instrument can also be useful in laboratory applications, including biomedical research in fields such as proteomics, genomics, metabolomics, and biomarker discoveries and in structural studies and characterization of nanomaterials. The disclosed system is not limited to only biomonitoring of the diatoms but it can be implemented by biomonitoring of different macrobiotics present in the water bodies.
The main purpose of the invention is to provide device for water quality analysis to obtain real-time water quality analysis monitoring parameters by using provided system for counting, estimating, and analysing of particles suspended in a water with the of biomonitoring of diatoms.
ADVANTAGES OF THE INVENTION
1. The disclosed system (300) indicates the quality of water based on a worldwide accepted bioindicator, diatoms. Diatoms are cosmopolitan in nature and they are sensitive to both physical and chemical habitat changes. Thus, making them a reliable source for indicating quality of water
2. The disclosed system (300) provides a complete package of sample processing hardware with an image processing software that delivers a complete report within considerably less time as compared to the traditional methods.
3. The report generated by the disclosed system (300) is available on a web-based platform can be downloaded or accessed from anywhere in the world at given time.
4. The disclosed system (300) provides the biological indication of the quality of water sample also indicates the physical parameters like pH, temperature, turbidity and conductivity.
5. The disclosed system (300) is stand alone and capable of powering itself and log the data to the cloud for easy access
6. The disclosed system (300) reduces lag in water quality treatment by giving the primitive indication of the water quality.
From the above description, it can be seen that device of the present invention to provide a water quality analysis According to present invention the disclosed device is to real-time water analysis which is remote water quality monitoring system for counting, estimating, and analysing of particles suspended in a water with the help of image analysis.
The foregoing descriptions of specific embodiments of the present invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the present invention and its practical application, to thereby enable others skilled in the art to best utilize the present invention and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omission and substitutions of equivalents are contemplated as circumstance may suggest or render expedient, but such are intended to cover the application or implementation without departing from the scope of the present invention.
In some embodiments, the disclosed techniques can be implemented, at least in part, by electromechanical or electrochemical systems controlled through program instructions encoded on a non-transitory computer-readable storage media in a machine-readable format, or on other non-transitory media or articles of manufacture. Such computing systems (and non-transitory computer-readable program instructions) can be configured according to at least some embodiments presented herein, including the processes shown and described in connection with Figures. The computing device that executes some or all of the stored instructions can be a micro-fabrication controller, or another computing platform. Alternatively, the computing device that executes some or all of the stored instructions could be remotely located computer system, such as a server.
Further, while one or more operations have been described as being performed by or otherwise related to certain components, modules, devices or entities, the operations may be performed by or otherwise related to any component, module, device or entity.
Further, the operations need not be performed in the disclosed order, although in some examples, an order may be preferred. Also, not all functions need to be performed to achieve the desired advantages of the disclosed system and method, and therefore not all functions are required.
While select examples of the disclosed system and method have been described, alterations and permutations of these examples will be apparent to those of ordinary skill in the art. Other changes, substitutions, and alterations are also possible without departing from the disclosed system and method in its broader aspects.
,CLAIMS:We Claim

1. A system for real-time water quality analysis, the system (300) comprising:
a portable device (150) coupled to a communication network, the portable device (150) is configured for receiving water sample of a predefined quantity and measure the quality parameters thereof, the device includes:
at least one water storage container (102) having,

an inlet (100) for receiving water sample of predefined quantity,

a storage space for storing the received water sample therein,

at least one filter (101) attached to the inlet for removing unnecessary particles from the received water sample;
a plurality of sensors (103, 104,105,106) mounted in close proximity of the water sample in the storage container (107), the plurality of sensors (103, 104,105,106) are configured to measure the quality parameters thereof;
at least one microfluidic chip (107) equipped with a heating chip (110), the microfluidic chip (107) secured at the outlet of the storage container (107) to receive water sample mixed with acid through a first micro-pump (108), and heat treat the received water sample by the heating chip (110),
at least one centrifugation unit (112) fluidly connected to a distilled water storage (113), wherein the centrifugation unit (112) is secured at the outlet of the at least one microfluidic chip (107), and is configured to receive the heat-treated water sample therefrom through a second micro-pump (111), mixes with the distilled water from the distilled water storage (113) and separates out fluids of different densities in the water sample by centrifugation technique;
at least one clear plate (114) secured at the outlet of the at least one centrifugation unit (112), the clear plate (114) receives the water sample on top surface thereof,
at least one camera device (115) secured above the at least one clear plate (114),
at least one camera device (115) is configured for capturing high resolution images of the water sample placed over the at least one clear plate (114);
a controller (117) communicatively coupled to the plurality of sensors, and the camera device (115), the controller (117) having a processor in communication with a network interface and a memory configured with a database containing information on water quality analysis;
a display unit operably coupled to the controller (117), the display unit is configured for presenting the data received from the controller (117) in a human readable format; and
at least one power management module coupled to the controller (117), wherein the power management module is configured to monitor and stabilise the operations of individual components connected to the controller (117); and
at least one server (200) communicatively coupled to the controller (117) in the portable device (150) via the communication network, the server (200) is configured with an AI based application module capable of receiving and analysing data received from the portable device (150), analyse and predict the quality of the water sample and send the prediction results back thereto;
wherein the controller (117) is configured to receive real-time data from the plurality of sensors (103, 104, 105, 106) and camera device (115) , provide the data for further analysis by the AI based application module in the server (200) that is configured for receiving, analysing data and predicting the quality of water sample and display the prediction in a human readable format by means of the display unit.
2. The system (300) as claimed in claim 1 wherein the plurality of sensors (103, 104, 105, 106) are configured for monitoring quality parameters of water sample in real-time such as but not limited to pH, temperature, turbidity, conductivity and the like.
3. The system (300) as claimed in claim 1, wherein the portable device (150) is configured for real-time monitoring of water quality by measuring the plurality of parameters, convert the measured parameters into proportionate electrical signals and communicate said electrical signals to the controller (117).

4. The system (300) as claimed in claim 1 wherein the at least one camera device (115) is a high-resolution device configured for capturing images of water sample on the at least one clear plate (114).
5. The system (300) as claimed in claim 1 wherein the at least one camera device (115) is a CCD camera with lens.
6. The system (300) as claimed in claim 1, wherein the AI based application module is configured to,
• analyse the data from plurality of sensors and detect the diatoms present in the high-resolution images;
• classifies the diatoms based on their internal features;
• calculate the relative abundance of each diatom taxa group detected for a particular water sample and fed to a statistical model which refers to the Van Dam ecological groups which consists of ecological group each representing a range of environmental conditions.

7. The system (300) as claimed in claim 1 wherein the AI based application module is configured to calculate the Eutrophication percentage with the help of controller (117) by indicating the level enriched nutrients of water sample from thereon and predicts contamination level of the water sample.
8. A method for real-time water quality analysis having a portable device (150) configured for measuring the real-time quality parameters of a water sample coupled to a server via a communication network, the server (200) is installed with an AI based application module capable of receiving the observed data from the portable device (150), analysing the data and provide prediction result back to the portable device (150), the
the method comprising the steps of:
• receiving a predefined quantity of water sample to a storage container in the portable device (150) by passing through a filter (101) that removes unnecessary particles from the water sample;
• measuring the quality parameters of the water sample in the storage container (102) by the plurality of sensors (103, 104, 105, 106) mounted in close proximity thereto;
• passing the water sample mixed with acid stored in an acid container (107) through a microfluidic chip (109) by a first micro-pump (108) in the portable device (150);
• heating the water sample mixed with acid for a predefined time period by a heating chip (110) connected to microfluidic chip (109) in the portable device (150);
• transferring the water sample from the microfluidic chip (109) to a centrifugation unit (112) after mixing with distilled water with the help of second micro-pump (111) and by applying centrifugation technique for separating out fluids of different densities in the water sample in the portable device (150);
• transferring a complete water sample after centrifugation process, into a clear plate (114) in the portable device (150);
• capturing the high-resolution images of complete water sample with the help of a camera device (115).
• receiving the plurality of sensor (103,104,105,106) and camera device (115) data by the controller (117), and transferring the data to the server (200) by the portable device (150);
• initiating analysis of the received data, detecting the diatoms present in the image and classifying them based on their internal feature by an AI based application module in the server (200);
• calculating the relative abundance of each diatom taxa group detected for a particular sample data and feeding to a statistical model that refers to the Van Dam ecological groups consists of ecological group each representing a range of environmental conditions by the AI based application module in the server (200);
• adding Van Dam scores for calculating the Eutrophication percentage which indicates enriched nutrients level of water sample by the AI based application module in the server (200) and transferring the predicted data to the portable device (150) by the server (200);
• providing the predicted output indicating the quality of water sample based on the eutrophication percentage by the display unit in the portable device (150).

9. The method as claimed in claim 8, wherein the quality parameters measured by the plurality of sensors (103,104,105,106) include Ph level of water sample by pH sensor (103), temperature of water sample temperature sensor (104), turbidity present in the water sample by the turbidity sensor (105) and conductivity of the water sample.