Water quality management system using water purification robot supplied with energy in hybrid manner, and method thereof

Abstract

The present invention relates to a water quality management system for managing water quality using a water purification robot, the water quality management system being characterized by comprising: an imaging / analyzing unit that uses the water purification robot to capture an image of a river from above and analyze the image; an information collecting unit that collects information about the river by floating, on the river, the water purification robot equipped with a sensor module; a pollution source removal unit that removes a pollution source, generated in the river, by means of the water purification robot on the basis of information about water quality provided from the information collecting unit; an energy supply unit that supplies energy to the water purification robot in a hybrid manner; and a control unit connected to each of the imaging / analyzing unit, the information collecting unit, the pollution source removal unit, and the energy supply unit to control operation of each of the imaging / analyzing unit, the information collecting unit, the pollution source removal unit, and the energy supply unit.

Description

Water quality management system using a water purification robot with energy supplied in a hybrid manner and the method thereof

[0001] The present invention relates to a water quality management system and method using a water quality purification robot equipped with artificial intelligence technology and a hybrid propulsion battery, which is supplied with energy in a hybrid manner.

[0002] Generally, water quality measurement is conducted to observe information such as water quality, depth, and temperature in rivers or reservoirs. Measurement methods include manual observation, which involves direct human intervention, and unmanned observation.

[0003] Manual observation is a method in which personnel are directly deployed to measure water quality by moving around in boats, etc., while unmanned observation is a method in which unmanned observation equipment is installed at a fixed point to measure water quality.

[0004] In the case of manual observation, water quality surveys require the direct deployment of personnel using boats or similar means, which leads to problems such as long travel times and high labor costs. In particular, there is a problem in measuring water quality in dangerous locations where human deployment for surveys is impossible.

[0005] In the case of unmanned observation, the method of observing from a fixed point leads to problems such as corrosion or malfunction of equipment installed underwater, and there is the issue of having to travel directly to the location where the observation equipment is installed for repairs.

[0006] Furthermore, in the case of unmanned observation, the survey point is fixed at a single location, making it impossible to measure water quality over a wide range and leading to reduced accuracy of the measurements. In particular, when observing a specific area, there are issues regarding high costs and time consumption, as a large number of measuring devices must be installed within the area or water quality meters must be moved around to measure water quality individually.

[0007] Meanwhile, due to climate change making it easier for nutrients to flow into water systems in Korea, eutrophication is occurring frequently, leading to an increase in algal blooms. When algal blooms occur, they destroy aquatic ecosystems and directly affect the safety of water resources, including drinking water sources. Currently, technologies for monitoring algal blooms include field sampling-based research involving the direct collection and analysis of water samples, as well as remote sensing research utilizing satellite and aerial imagery.

[0008] However, in the case of field sampling analysis, it is difficult to monitor extensive areas, and in the case of satellite and aerial imagery, the resolution is low and it is difficult to obtain images at desired times, and it is difficult to obtain multispectral images or determine water temperature and water flow.

[0009] To address these issues, research on remote sensing using unmanned aerial vehicles (UAVs, drones) has recently been underway. Since drones can acquire the desired type of imagery over specific areas at desired times from low altitudes, research utilizing this advantage to analyze algal blooms is being conducted. However, current research on monitoring algal blooms using drones remains limited to identifying the occurrence of blooms and classifying areas requiring removal.

[0010]

[0011] {Prior Art Literature}

[0012] {Patent Literature}

[0013] (Patent Document 1) Republic of Korea Registered Patent No. 10-2193351 (December 21, 2020)

[0014] (Patent Document 2) Republic of Korea Registered Patent No. 10-2450019 (September 30, 2022)

[0015] Accordingly, the present invention has been devised to solve the above-mentioned problems, and the objective of the present invention is to improve and develop a power system necessary for autonomous water navigation based on artificial intelligence, and to provide a water quality management system and method using a water purification robot that supplies energy in a hybrid manner by analyzing pollutants through image recognition.

[0016]

[0017] However, the technical problems to be solved by the present invention are not limited to those mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art to which the present invention belongs from the description below.

[0018] The present invention was created to improve upon the problems of the prior art described above, and is a water quality management system that manages water quality using a water quality purification robot, comprising: a shooting analysis unit that photographs and analyzes a river from above using the water quality purification robot; an information collection unit that floats the water quality purification robot equipped with a sensor module on the river to collect information about the river; a pollutant removal unit that removes pollutants generated in the river using the water quality purification robot based on the water quality information provided by the information collection unit; an energy supply unit that supplies energy to the water quality purification robot in a hybrid manner; and a control unit that is respectively connected to the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit to control the operation of the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit.

[0019]

[0020] Additionally, in one embodiment, the image analysis unit may include: a camera equipped in the water purification robot for photographing a river; and an image recognition analysis unit equipped with image recognition software that identifies pollutants on the water surface in an image captured by the camera and analyzes the pollutants of the river.

[0021]

[0022] In addition, in one embodiment, the information collection unit can analyze the water quality in combination with the analysis technology of the image analysis unit by utilizing information on river water quality collected through the sensor module.

[0023]

[0024] In addition, in one embodiment, the sensor module may include a temperature measuring sensor for measuring the temperature of the river; an oxygen concentration measuring sensor for measuring the concentration of oxygen contained in the river water; and a nitrogen concentration measuring sensor for measuring the concentration of nitrogen contained in the river water.

[0025]

[0026] In addition, in one embodiment, the pollutant removal unit may include: a pollutant recognition unit that recognizes pollutants in a river according to a preset standard through the sensor module; a pollutant collection unit that collects pollutants recognized through the pollutant recognition unit; and a water purification unit that purifies the water quality of the river by spraying a purification substance into the river.

[0027]

[0028] In addition, in one embodiment, the energy supply unit may include a battery in which energy generated from solar or wind power generation is stored; and a sensor unit that checks the state of the battery and collects data regarding the battery.

[0029]

[0030] In addition, in one embodiment, it may further include a fire prevention unit connected to the control unit, which detects overheating caused by charging / discharging or abnormal current flow of the battery in real time and prevents a fire caused by overheating of the battery.

[0031]

[0032] In addition, in one embodiment, the fire prevention unit may include a monitoring unit that monitors the voltage, current, and temperature of the battery in real time through the sensor unit; and a cutoff control unit that cuts off the flow of current and controls charging and discharging when overheating occurs due to overcharging and over-discharging exceeding a set standard in the battery through the monitoring unit.

[0033]

[0034] A water quality management system for managing water quality using the aforementioned water quality purification robot, comprising: a shooting analysis unit that photographs and analyzes a river from above using the water quality purification robot; an information collection unit that floats the water quality purification robot equipped with a sensor module on the river to collect information about the river; a pollutant removal unit that removes pollutants generated in the river using the water quality purification robot based on water quality information provided by the information collection unit; an energy supply unit that supplies energy to the water quality purification robot in a hybrid manner; and a control unit that is respectively connected to the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit to control the operation of the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit; wherein the energy supply unit includes a battery in which energy generated from solar or wind power generation is stored and a sensor unit that checks the status of the battery and collects data regarding the battery; and a water quality management method using a water quality management system utilizing a water quality purification robot in which energy is supplied in a hybrid manner, wherein the water quality purification robot photographs the river from above The method may comprise: a shooting analysis step for analyzing; an information collection step for collecting information on the water quality of a river by floating the water quality purification robot equipped with a sensor module in a river after the shooting analysis step; a pollutant removal step for removing pollutants generated in the river using the water quality purification robot based on the water quality information provided to the information collection unit after the information collection step; an energy supply step for supplying energy in a hybrid manner to the discharged water quality purification robot after the pollutant removal step; and a fire prevention step for detecting overheating caused by charging / discharging or abnormal current flow of the battery in real time after the energy supply step, and preventing a fire caused by the overheating of the battery.

[0035] According to one embodiment of the present invention, the automated monitoring and response mechanism of the water purification robot has the effect of reducing operation and maintenance costs in the long term compared to traditional water quality management methods that rely on human labor.

[0036] In addition, according to one embodiment of the present invention, zero emission can be achieved in terms of energy usage by incorporating an eco-friendly hybrid propulsion method into a water purification robot.

[0037]

[0038] However, the effects obtainable from the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description below.

[0039] The following drawings attached to this specification illustrate preferred embodiments of the present invention and serve to further enhance understanding of the technical concept of the present invention together with the detailed description of the invention provided below; therefore, the present invention should not be interpreted as being limited only to the matters described in such drawings.

[0040] FIG. 1 is a block diagram of the overall components of a water quality management system using a water quality purification robot that supplies energy in a hybrid manner according to an embodiment of the present invention.

[0041] Figure 2 is a block diagram of the components of the imaging analysis unit.

[0042] Figure 3 is a block diagram of the components of the sensor module.

[0043] Figure 4 is a block diagram of the components of the contaminant removal unit.

[0044] Figure 5 is a block diagram of the components of the energy supply unit.

[0045] Figure 6 is a block diagram of the components of the fire prevention unit.

[0046] FIG. 7 is a flowchart of a water quality management method using a water quality purification robot that supplies energy in a hybrid manner according to an embodiment of the present invention.

[0047] Below, with reference to the attached drawings, embodiments of the present invention are described in detail so that those skilled in the art can easily implement the invention. However, since the description of the present invention is merely an example for structural or functional explanation, the scope of the rights of the present invention should not be interpreted as being limited by the embodiments described in the text. That is, since the embodiments are subject to various modifications and may take various forms, the scope of the rights of the present invention should be understood to include equivalents capable of realizing the technical concept. Furthermore, the objectives or effects presented in the present invention do not imply that a specific embodiment must include all of them or only such effects; therefore, the scope of the rights of the present invention should not be understood as being limited by them.

[0048] The meaning of the terms described in this invention should be understood as follows.

[0049] Terms such as "first" and "second" are intended to distinguish one component from another, and the scope of rights shall not be limited by these terms. For example, the first component may be named the second component, and similarly, the second component may be named the first component. When a component is referred to as being "connected" to another component, it should be understood that it may be directly connected to that other component, or that there may be other components in between. Conversely, when a component is referred to as being "directly connected" to another component, it should be understood that there are no other components in between. Meanwhile, other expressions describing the relationship between components, such as "between" and "exactly between," or "adjacent to" and "directly adjacent to," shall be interpreted in the same manner.

[0050] A singular expression should be understood to include a plural expression unless the context clearly indicates otherwise, and terms such as "include" or "have" are intended to specify the existence of the set-up features, numbers, steps, actions, components, parts, or combinations thereof, and should be understood not to preclude the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0051] Unless otherwise defined, all terms used herein have the same meaning as generally understood by those skilled in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having meanings consistent with the context of the relevant technology and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in this invention.

[0052]

[0053] FIG. 1 is a block diagram of the overall components of a water quality management system using a water quality purification robot that supplies energy in a hybrid manner according to an embodiment of the present invention, FIG. 2 is a block diagram of the components of a shooting analysis unit, FIG. 3 is a block diagram of the components of a sensor module, FIG. 4 is a block diagram of the components of a pollutant source removal unit, FIG. 5 is a block diagram of the components of an energy supply unit, and FIG. 6 is a block diagram of the components of a fire prevention unit.

[0054] As illustrated in FIGS. 1 to 6, the present invention is a water quality management system that manages water quality using a water quality purification robot, and may include a shooting analysis unit (100), an information collection unit (200), a pollutant removal unit (300), an energy supply unit (400), and a control unit (500). Specifically, the water quality purification robot (not shown, 30) of the present invention is equipped with artificial intelligence technology capable of recognizing pollutants with over 90% accuracy for managing water pollution sources and a 50kWh class hybrid propulsion battery using solar and wind power, and is capable of autonomous driving on water.

[0055] The water purification robot (30) can be operated via autonomous driving.

[0056] The image analysis unit (100) can analyze the river by photographing it from above with a water quality purification robot (30).

[0057] The shooting analysis unit (100) may include a camera (110) and an image recognition analysis unit (120).

[0058] The camera (110) is equipped on the water purification robot (30) and can photograph the river.

[0059] The image recognition analysis unit (120) is equipped with image recognition software that identifies pollution sources on the water surface in an image captured by a camera (110) and can analyze pollution sources in the river.

[0060] Specifically, image recognition software for identifying pollutants on the water surface is a technology that classifies objects by analyzing images captured by a camera (110) and automatically identifies the type and location of pollutants, and primarily utilizes deep learning-based computer vision algorithms. This software can be broadly composed of an image input module, a preprocessing module, an object detection and classification algorithm, and a result output module.

[0061] The video input module collects water surface video in real time and accepts input data from various devices, such as fixed CCTVs, drones, and satellites. The preprocessing module can perform tasks such as removing noise from the original video and correcting for lighting variations or distortions to convert it into an analyzable format. During this process, image correction, resizing, and background separation are performed, and algorithms can be applied to minimize variations unique to the water surface, such as ripples, reflections, and shadows.

[0062] Object detection and classification algorithms utilize deep learning-based neural network models to detect and classify sources of contamination within images. Generally, object detection models such as YOLO (You Only Look Once), Faster R-CNN, and SSD (Single Shot Multibox Detector) are employed; these models enable accurate detection by learning features such as the size, color, and shape of the contaminants. For instance, they can distinguish various sources of contamination, including plastic bottles, oil slicks, floating debris, and plant remains, and to achieve this, they are pre-trained using a large amount of surface image data.

[0063] The deep learning model extracts features from water surface images using a Convolutional Neural Network (CNN) and predicts the type of pollutant source in the Fully Connected Layer. The software outputs the location of detected pollutants in the form of coordinates and can visualize their positions by combining them with map data. Additionally, it can predict the impact of pollutants by analyzing their size or movement paths. The result output module serves as an interface to provide detection results to the user and can be integrated with web-based dashboards, mobile applications, or alarm systems.

[0064] This enables managers to monitor pollution sources in real time and respond rapidly. Based on AI technology, the software allows for continuous learning and performance improvement, and can adapt to new types of pollution sources or environmental changes. In particular, integrating various sensors and data in conjunction with IoT technology enables precise analysis, and linking with automated purification devices allows for the establishment of an efficient pollution management system. This software is establishing itself as a crucial tool for water quality management, environmental protection, and pollution monitoring in marine and inland waters, significantly improving accuracy and efficiency compared to traditional manual monitoring methods.

[0065]

[0066] The information collection unit (200) can collect information about the river by floating a water quality purification robot (30) equipped with a sensor module (700) in the river.

[0067] The information collection unit (200) can analyze the water quality in combination with the analysis technology of the shooting analysis unit (100) by utilizing information on river water quality collected through the sensor module (700).

[0068] The sensor module (700) may include a temperature measuring sensor (710), an oxygen concentration measuring sensor (720), and a nitrogen concentration measuring sensor (730).

[0069] The temperature measuring sensor (710) can measure the temperature of the river. Specifically, the temperature measuring sensor (710) plays an important role in evaluating the water quality and pollution level by measuring the temperature of the water, and may be composed of a measuring element, a signal processing circuit, an output interface, etc. The main principle is to measure the temperature using a material whose physical properties change according to changes in water temperature, and mainly thermistors, thermocouples, and semiconductor temperature sensors are used. Thermistors enable precise measurements by utilizing the characteristic that the resistance value changes linearly according to changes in temperature, and are widely used for water quality monitoring due to their excellent stability and durability.

[0070] Thermocouples are devices formed by joining two types of dissimilar metals; by measuring the thermoelectric voltage generated by temperature differences, they can provide reliable data even at high temperatures. Semiconductor-based temperature sensors utilize the current-voltage characteristics associated with water temperature and are suitable for real-time analysis of water quality data due to their miniaturization and excellent energy efficiency. Signal processing circuits convert temperature data into digital signals by amplifying or filtering the analog signals output from the measurement device, and calibration and correction algorithms may be applied to enhance precision.

[0071] The output interface serves to transmit data to external devices and can be implemented via wired or wireless methods. In water quality standards, water temperature is an important indicator of ecosystem health and pollution status; while the optimal temperature range varies depending on the type of water body, 15–25°C is generally considered a favorable environment for maintaining biodiversity. Exceeding 25°C reduces dissolved oxygen (DO) levels, causing stress to aquatic organisms, while temperatures above 30°C severely impact the ecosystem. Rising temperatures are caused by the influx of pollutants, the discharge of industrial wastewater, and climate change; in particular, high temperatures promote eutrophication, leading to excessive algal blooms and accelerating water quality deterioration.

[0072] By continuously monitoring the water temperature through the temperature measuring sensor (710), the risk of pollution caused by a rise in temperature can be identified early, and biological treatment can be optimized through appropriate temperature control during the wastewater treatment process. Recently, smart temperature measuring sensors (710) combined with IoT technology have been introduced, enabling real-time data collection and remote monitoring, thereby significantly improving the efficiency of water pollution management.

[0073]

[0074] The oxygen concentration measuring sensor (720) can measure the concentration of oxygen contained in the water of a river. Specifically, the oxygen concentration measuring sensor (720) plays an important role in evaluating water quality and determining pollution by measuring the concentration of dissolved oxygen (DO) in the water. This sensor consists of a measuring element, a signal processing circuit, and an output interface, and operates in various ways, such as electrochemical, optical, and galvanic types. The electrochemical DO sensor calculates the concentration by measuring the current generated when oxygen undergoes a redox reaction at the electrode, and is suitable for real-time water quality monitoring as it provides a fast response speed and high precision. The optical DO sensor utilizes the principle that oxygen molecules absorb light of a specific wavelength or change their light emission characteristics; it requires less calibration and has high durability, making it advantageous for long-term monitoring environments. The galvanic DO sensor generates current by causing an electrochemical reaction between two electrodes and is mainly used in small sensors. The sensor's signal processing circuit amplifies the detected signal or converts it into a digital signal, and a temperature compensation algorithm can minimize measurement errors caused by changes in water temperature. The output interface is provided via wired or wireless methods, allowing it to be connected to external systems. In water pollution standards, DO concentration is used as a key indicator to assess the viability of aquatic organisms and the degree of pollution; generally, water quality is evaluated as good when the DO concentration is 5 mg / L or higher. DO levels between 3 and 5 mg / L are considered to indicate degraded water quality and can cause stress to aquatic organisms. If the concentration drops below 2 mg / L, biological activity is significantly restricted, and in severe cases, an anaerobic environment unsuitable for aquatic organisms is created, leading to water quality deterioration.

[0075] These standards are applied to water quality management in rivers, lakes, and wastewater treatment plants, and continuous monitoring is performed through oxygen concentration measuring sensors (720). By measuring DO concentration in real time using the sensors, it is possible to detect the inflow of pollutants early and respond immediately, and in the wastewater treatment process, it is used to maintain an appropriate oxygen concentration to optimize the activity of microorganisms. Recently, DO sensors linked with IoT technology have been introduced, enabling cloud-based data collection and analysis, which is improving the efficiency of water pollution management.

[0076]

[0077] The nitrogen concentration measuring sensor (730) can measure the concentration of nitrogen contained in the water of a river. Specifically, the nitrogen concentration measuring sensor (730) is used to measure the concentration of nitrogen compounds in the water to evaluate the water quality and the degree of pollution, and can measure nitrogen that appears mainly in the form of ammoniacal nitrogen, nitrate nitrogen, nitrite nitrogen, etc. This sensor is composed of a measuring element, a signal processing circuit, and an output interface, and electrochemical, optical, and ion-selective electrode methods are utilized as major technologies. The electrochemical sensor calculates the concentration by measuring the current or potential generated when nitrogen compounds undergo oxidation or reduction reactions at the electrode, and provides high sensitivity and reliability.

[0078] Optical nitrogen concentration sensors measure the concentration of nitrogen compounds by utilizing the light absorption or fluorescence properties of specific wavelengths; because they operate in a non-contact manner, they provide highly reliable data without physical contact. Ion-selective electrode methods detect only specific nitrogen ions through selective membranes and are widely used due to their simple structure and high cost-effectiveness. Signal processing circuits amplify or filter signals output from the measurement device to eliminate noise and can apply calibration and correction algorithms to enhance data accuracy.

[0079] The output interface also enables real-time data transmission of measurement results via wired and wireless communication (Wi-Fi, Bluetooth). Water pollution standards based on nitrogen concentration are established to evaluate the impact of nitrogen compounds in water on aquatic ecosystems and human activities; generally, ammonia nitrogen levels of 0.5 mg / L or less and nitrate nitrogen levels of 10 mg / L or less are considered appropriate ranges. If ammonia nitrogen increases to 1 mg / L or more, it can cause toxicity to aquatic organisms, and at 2 mg / L or higher, the ecosystem is severely affected. If nitrate nitrogen concentrations exceed 10 mg / L, they become harmful to human health and exceed drinking water standards; furthermore, excessive nitrogen promotes eutrophication, inducing algal blooms and leading to water quality deterioration and oxygen deficiency.

[0080] To meet these standards, a nitrogen concentration measuring sensor (730) is used to continuously monitor the concentration of nitrogen compounds in rivers, lakes, reservoirs, etc., to identify sources of pollution and to prepare appropriate treatment measures. In particular, in wastewater treatment facilities, the sensor monitors nitrogen concentration in real time and is used as an essential tool to optimize the activity of microorganisms in biological treatment processes. Recently, smart nitrogen concentration sensors combined with IoT technology have been introduced, enabling cloud-based data analysis and remote management, which has significantly improved the efficiency of water pollution management.

[0081] Using the aforementioned sensor module (700), a water quality pollution area can be partitioned in the river, and a water purification robot (30) can be moved to the pollution area to remove the pollution sources.

[0082]

[0083] The pollutant removal unit (300) can remove pollutants generated in the river using a water purification robot (30) based on information about water quality provided by the information collection unit (200).

[0084] The pollutant removal unit (300) may include a pollutant recognition unit (310), a pollutant capture unit (320), and a water purification unit (330).

[0085] The pollution source recognition unit (310) can recognize pollutants in the river according to a preset standard through the sensor module (700).

[0086] The pollutant source collection unit (320) can collect pollutants recognized through the pollutant source recognition unit (310).

[0087] The water purification unit (330) can purify the water quality of the river by spraying a purification substance into the river. In addition, specifically, the physical purification method of the water quality is a method of physically removing or settling pollutants that have entered the river, and the screen can filter out large floating debris or trash.

[0088] Chemical remediation methods involve chemically treating to remove or neutralize dissolved pollutants entering rivers, primarily involving the addition of coagulants, the use of oxidizing agents, and pH adjustment. For example, the addition of coagulants causes fine suspended solids to clump together and settle, while oxidizing agents decompose or neutralize organic matter and toxic substances in the water. Biological remediation methods utilize microorganisms, plants, and animals to naturally decompose or absorb pollutants, playing the most crucial role in the restoration of river ecosystems.

[0089] Biological input is a key component of biological purification. Microbial input is a technology that decomposes organic matter and pollutants by injecting beneficial microorganisms into rivers, and it is particularly effective in heavily polluted areas. Supplying oxygen through air injection devices increases dissolved oxygen levels, suppressing anaerobic environments and promoting the activity of aquatic organisms. Recently, smart technology has been introduced, and systems are being established that monitor water quality in real time via IoT sensors and control purification devices to operate automatically in the event of pollution.

[0090]

[0091] The energy supply unit (400) can supply energy to the water purification robot (30) in a hybrid manner.

[0092] The energy supply unit (400) may include a battery (410) and a sensor unit (420).

[0093] The battery (410) can store energy generated from solar or wind power generation.

[0094] The sensor unit (420) can check the status of the battery (410) and collect data about the battery (410).

[0095] The sensor unit (420) may include a temperature sensor for measuring the temperature of the battery (410), a current sensor for measuring the current flowing through the battery (410), an acoustic sensor for measuring the sound generated from the battery (410), and a data processing unit for processing and storing information received from the temperature sensor, current sensor, and acoustic sensor according to a set standard.

[0096]

[0097] A water quality management system according to one embodiment of the present invention may further include a fire prevention unit (700).

[0098] The fire prevention unit (700) is connected to the control unit (600) and detects overheating caused by charging / discharging or abnormal current flow of the battery (410) in real time, and can prevent fire caused by overheating of the battery (410).

[0099] The fire prevention unit (700) may include a monitoring unit (710) and a blocking control unit (720).

[0100] The monitoring unit (710) can monitor the voltage, current, and temperature of the battery (410) in real time through the sensor unit (420).

[0101] The cutoff control unit (720) can cut off the flow of current and control charging and discharging when overheating occurs due to overcharging and over-discharging of the battery (410) beyond the set standard through the monitoring unit (710).

[0102]

[0103] The control unit (500) is connected to the image analysis unit (100), the information collection unit (200), the pollutant removal unit (300), and the energy supply unit (400), respectively, and can control the operation of the image analysis unit (100), the information collection unit (200), the pollutant removal unit (300), and the energy supply unit (400).

[0104] Specifically, the control unit (500) is equipped with a wireless communication module (not shown) so that it can be linked with an external mobile terminal, etc., to control operation or check the control status in real time from the outside. The wireless communication module can be implemented with various communication technologies. That is, Wi-Fi, WCDMA (Wideband CDMA), HSDPA (High Speed ​​Downlink Packet Access), HSUPA (High Speed ​​Uplink Packet Access), HSPA (High Speed ​​Packet Access), Mobile WiMAX, WiBro, LTE (Long Term Evolution), 5G, Bluetooth, infrared communication (IrDA, infrared data association), NFC (Near Field Communication), Zigbee, wireless LAN technology, etc., can be applied. In addition, when providing services connected to the Internet, it may follow TCP / IP, which is a standard protocol for information transmission on the Internet.

[0105]

[0106] FIG. 7 is a flowchart of a water quality management method using a water quality purification robot that supplies energy in a hybrid manner according to an embodiment of the present invention.

[0107] As illustrated in FIG. 7, the water quality management system for managing water quality using the aforementioned water quality purification robot (30) comprises: a shooting analysis unit (100) that photographs and analyzes a river from above using the water quality purification robot (30); an information collection unit (200) that collects information about the river by floating the water quality purification robot (30), equipped with a sensor module (700), on the river; a pollutant removal unit (300) that removes pollutants generated in the river using the water quality purification robot (50) based on the water quality information provided by the information collection unit (200); an energy supply unit (400) that supplies energy to the water quality purification robot (30) in a hybrid manner; and a shooting analysis unit (100), an information collection unit (200), a pollutant removal unit (300), and an energy supply unit (400), each connected to the shooting analysis unit (100), the information collection unit (200), the pollutant removal unit (300), and the energy supply unit (400). In a water quality management method using a water quality management system using a water quality purification robot in which energy is supplied in a hybrid manner, the present invention may include a shooting analysis step (S100), an information collection step (S200), a pollutant removal step (S300), an energy supply step (S400), and a fire prevention step (S500), wherein the energy supply unit (400) includes a control unit (500) that controls the operation of an energy supply unit (400), and the energy supply unit (400) includes a battery (410) in which energy generated from solar or wind power generation is stored and a sensor unit (420) that checks the status of the battery (410) and collects data about the battery (410).

[0108] The shooting analysis step (S100) is a step of analyzing a river by shooting it from above with a water purification robot (30).

[0109] The information collection step (S200) is a step of collecting information about the water quality of a river by floating a water quality purification robot (30) equipped with a sensor module (700) in a river after going through the shooting analysis step (S100).

[0110] The pollution source removal step (S300) is a step of removing pollution sources generated in a river using a water purification robot (30) based on the water quality information provided to the information collection unit (200) after the information collection step (S200).

[0111] The energy supply step (S400) is a step of supplying energy in a hybrid manner to the discharged water purification robot (30) after going through the pollutant removal step (S300).

[0112] The fire prevention step (S500) is a step that detects overheating caused by charging / discharging or abnormal current flow of the battery (410) in real time after passing through the energy supply step (S400), and prevents a fire caused by overheating of the battery (410). Specifically, the fire prevention step (S500) can prevent a fire caused by overheating of the battery (410) in advance by detecting overheating caused by charging / discharging or abnormal current flow of the battery (410) in real time through the monitoring unit (610) and notifying with an alarm such as sound or light.

[0113]

[0114] The following detailed description of the components is as described above in the invention of the water quality management system.

[0115]

[0116] As described above, the detailed description of the preferred embodiments of the present invention disclosed is provided to enable those skilled in the art to implement and practice the present invention. Although the present invention has been described with reference to preferred embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the scope of the invention. For example, those skilled in the art may utilize each configuration described in the embodiments described above in combination with one another. Accordingly, the present invention is not intended to be limited to the embodiments shown herein, but to be given the broadest scope consistent with the principles and novel features disclosed herein.

[0117] The present invention may be embodied in other specific forms without departing from the spirit and essential features of the invention. Accordingly, the above detailed description should not be interpreted restrictively in all respects but should be considered exemplary. The scope of the invention shall be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the invention are included within the scope of the invention. The invention is not intended to be limited to the embodiments shown herein, but to be given the broadest possible scope consistent with the principles and novel features disclosed herein. Furthermore, embodiments may be constructed by combining claims that are not explicitly related in the claims, or by including them as new claims through amendments made after filing.

[0118] {Explanation of symbols}

[0119] 10 : Water Quality Management System

[0120] 30 : Water purification robot

[0121] 100 : Imaging Analysis Department

[0122] 110 : Camera

[0123] 120 : Image Recognition Analysis Unit

[0124] 200 : Information Gathering Department

[0125] 300 : Contaminant Removal Unit

[0126] 310 : Pollution source recognition unit

[0127] 320 : Pollutant capture unit

[0128] 330 : Water Purification Department

[0129] 400 : Energy Supply Department

[0130] 410 : Battery

[0131] 420 : Sensor section

[0132] 500 : Control unit

[0133] 600 : Fire Prevention Department

[0134] 610 : Monitoring Department

[0135] 620 : Blocking control unit

[0136] 700 : Sensor module

[0137] 710: Temperature sensor

[0138] 720: Oxygen concentration measuring sensor

[0139] 730: Nitrogen concentration measuring sensor

[0140] According to one embodiment of the present invention, the automated monitoring and response mechanism of the water purification robot has industrial applicability as it offers the effect of reducing long-term operation and maintenance costs compared to traditional water quality management methods that rely on human labor.

Claims

1. As a water quality management system that manages water quality using a water purification robot, A shooting analysis unit that photographs and analyzes a river from above using the above-mentioned water purification robot; An information collection unit that collects information about the river by floating the water quality purification robot equipped with a sensor module in the river; A pollutant removal unit that removes pollutants generated in a river using the water purification robot based on water quality information provided by the information collection unit; An energy supply unit that supplies energy to the above-mentioned water purification robot in a hybrid manner; and A water quality management system using a water purification robot in which energy is supplied in a hybrid manner, characterized by including: a control unit connected to the above-mentioned image analysis unit, the above-mentioned information collection unit, the above-mentioned pollutant removal unit, and the above-mentioned energy supply unit, respectively, and controlling the operation of the above-mentioned image analysis unit, the above-mentioned information collection unit, the above-mentioned pollutant removal unit, and the above-mentioned energy supply unit.

2. In Claim 1, The above-mentioned image analysis unit is, A camera equipped in the above-mentioned water purification robot for photographing the river; and A water quality management system using a water purification robot that is supplied with energy in a hybrid manner, characterized by including: an image recognition analysis unit that analyzes pollution sources in a river by being equipped with image recognition software that identifies pollution sources on the water surface in an image captured by the camera.

3. In Claim 1, A water quality management system using a water quality purification robot supplied with energy in a hybrid manner, characterized in that the information collection unit utilizes information on river water quality collected through the sensor module to analyze water quality in combination with the analysis technology of the image analysis unit.

4. In Claim 1, The above sensor module is, A temperature sensor for measuring the temperature of a river; An oxygen concentration measuring sensor for measuring the concentration of oxygen contained in the water of a river; and A water quality management system using a water quality purification robot that is supplied with energy in a hybrid manner, characterized by including a nitrogen concentration measuring sensor that measures the concentration of nitrogen contained in the water of a river.

5. In Claim 1, The above-mentioned pollutant removal unit is, A pollution source recognition unit that recognizes pollutants in a river according to preset standards through the above sensor module; A pollutant collection unit that collects pollutants recognized through the above-mentioned pollutant recognition unit; and A water quality management system using a water quality purification robot that is supplied with energy in a hybrid manner, characterized by including a water quality purification unit that purifies the water quality of a river by spraying purification substances into the river.

6. In Claim 1, The above energy supply unit is, A battery that stores energy generated from solar or wind power generation; and A water quality management system using a water purification robot that supplies energy in a hybrid manner, characterized by including a sensor unit that checks the status of the battery and collects data regarding the battery.

7. In Claim 6, A water quality management system using a water purification robot supplied with energy in a hybrid manner, characterized by further including a fire prevention unit connected to the control unit, which detects overheating caused by charging / discharging or abnormal current flow of the battery in real time and prevents fire caused by overheating of the battery.

8. In Claim 7, The aforementioned fire prevention department, A monitoring unit that monitors the voltage, current, and temperature of the battery in real time through the sensor unit; and A water quality management system using a water purification robot supplied with energy in a hybrid manner, characterized by including: a cutoff control unit that cuts off the flow of current and controls charging and discharging when overheating occurs due to overcharging and over-discharging exceeding a standard set in the battery through the monitoring unit.

9. A water quality management system for managing water quality using a water quality purification robot according to any one of claims 1 to 8, comprising: a shooting analysis unit that photographs and analyzes a river from above using the water quality purification robot; an information collection unit that floats the water quality purification robot equipped with a sensor module on the river to collect information about the river; a pollutant removal unit that removes pollutants generated in the river using the water quality purification robot based on water quality information provided by the information collection unit; an energy supply unit that supplies energy to the water quality purification robot in a hybrid manner; and a control unit that is respectively connected to the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit to control the operation of the shooting analysis unit, the information collection unit, the pollutant removal unit, and the energy supply unit; wherein the energy supply unit comprises a battery in which energy generated from solar or wind power generation is stored, and a sensor unit that checks the status of the battery and collects data about the battery, in a method for managing water quality using a water quality management system using a water quality purification robot in which energy is supplied in a hybrid manner. A shooting analysis step of photographing and analyzing a river from above using the above-mentioned water purification robot; After undergoing the above-mentioned shooting analysis step, an information collection step of floating the water quality purification robot equipped with a sensor module into a river to collect information on the water quality of the river; A pollutant removal step in which, after undergoing the above information collection step, the pollutant generated in the river is removed by the water purification robot based on the water quality information provided to the above information collection unit; An energy supply step for supplying energy in a hybrid manner to the water purification robot discharged after undergoing the above-mentioned pollutant removal step; and A water quality management method using a water purification robot supplied with energy in a hybrid manner, characterized by including: a fire prevention step that detects overheating caused by charging / discharging or abnormal current flow of the battery in real time after the energy supply step, and prevents a fire caused by the overheating of the battery.

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