Drainage management method using artificial intelligence model and a system for performing the same

Abstract

A drainage management method utilizing an artificial intelligence model according to the present invention comprises: a step of collecting and preprocessing drainage facility status data from a drainage device and a camera unit; a step of determining the state of a drainage facility using the preprocessed drainage facility status data as input to the artificial intelligence model; a step of controlling the drainage device based on the result of determining the state of the drainage facility; and a step of monitoring the drainage facility based on the drainage facility status data and the drainage device control data; wherein the state of the drainage facility may include at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

Description

Technology Field

[0001] The present invention relates to a drainage management method utilizing an artificial intelligence model and a system for performing the same. Background Technology

[0002] With localized torrential downpours and increased short-duration rainfall occurring more frequently due to recent climate change, the importance of the efficient management and operation of drainage facilities, such as rivers, irrigation canals, urban drainage systems, and drainage culverts, is steadily increasing. In particular, since the severity of flood damage in low-lying agricultural areas, urban flood-prone regions, and areas adjacent to rivers can be significantly influenced by the condition of drainage facilities, there is a growing need for a management system capable of monitoring their operational status in real time and controlling them appropriately.

[0003] However, in actual field operations, the condition checks of drainage facilities, such as drainage gates, debris collectors, sluice gates, and drainage pumps, often rely on periodic site patrols or manual inspections. Under these methods, it is difficult to monitor changes in water levels, the inflow of floating debris, and the operational status of the equipment in real time. Furthermore, there is a problem in that appropriate responses may be delayed until a manager arrives at the site, even if an abnormal situation occurs.

[0004] In addition, during heavy rainfall, various floating debris or drift debris may flow into the waterways, interfering with the operation of drainage gates or debris removers, or causing blockages or malfunctions in the equipment. However, conventional drainage facility management methods have limitations in detecting abnormal conditions early on because it is difficult to identify or quantitatively analyze the inflow of such floating debris in advance. Consequently, the normal operation of drainage facilities is hindered, and drainage capacity is reduced, potentially leading to flood damage.

[0005] Meanwhile, although water level sensors or remote monitoring devices have recently been introduced to some drainage facilities, most systems often remain at the level of simply monitoring water level information or the operation status of devices individually. This approach has limitations in that it does not sufficiently provide the functionality to determine flood risk or actively control the operation of drainage devices by comprehensively analyzing water level changes, floating debris inflow, device operating status, and surrounding environmental information.

[0006] Furthermore, conventional drainage facility management systems often lack the functionality to comprehensively analyze data collected from various sensors and devices installed on-site or to provide it to managers in an intuitive format. For example, in drainage facility management systems, it is difficult to comprehensively assess the status of multiple drainage facilities or quickly identify hazardous areas on a map-based screen, which can limit the efficient management of drainage facilities across extensive areas.

[0007] Furthermore, conventional drainage facility management systems often fail to link status information with relevant agencies' disaster response systems in real time. This presents a problem where it is difficult to promptly transmit information to external agencies and enable a response even when a risk of flooding occurs. Consequently, there is a limitation in that hazardous situations arising from conventional drainage facilities cannot be effectively integrated with regional disaster response systems.

[0008] Therefore, there is a need for a drainage management system capable of analyzing water level changes and floating debris inflow around drainage facilities based on video and sensor data, comprehensively monitoring the operational status of drainage devices, and automatically controlling their operation by determining flood risk based on this analysis. Furthermore, there is a growing need for an intelligent drainage management system that can intuitively provide this information via a map-based screen and transmit it in real-time to relevant disaster response agencies when necessary. The problem to be solved

[0009] The problem that the present invention aims to solve is to provide a drainage management method utilizing an artificial intelligence model and a system for performing the same.

[0010] The problem that the present invention aims to solve is to provide a drainage management method capable of monitoring the condition of a drainage facility in real time and determining the risk of flooding, and a system for performing the same.

[0011] The problem that the present invention aims to solve is to provide a drainage management method capable of analyzing the environmental conditions around a drainage facility and calculating the flood risk based on water level data and floating debris inflow data, and a system for performing the same.

[0012] In addition, the problem that the present invention aims to solve is to provide a drainage management method capable of calculating the flood risk of a drainage facility by comprehensively analyzing information on water level change, floating material density, floating material movement speed, and the operating status of a device, and a system for performing the same.

[0013] In addition, the problem that the present invention aims to solve is to provide a drainage management method capable of automatically controlling the operation of a drainage gate or a drainage gate debris remover according to a calculated flood risk, and a system for performing the same.

[0014] In addition, one problem that the present invention aims to solve is to provide a drainage management method and a system for performing the same, which enables efficient imaging of the surrounding conditions of a drainage facility by automatically controlling the shooting direction or shooting angle of a shooting unit based on water level data or floating material inflow data.

[0015] In addition, the problem that the present invention aims to solve is to provide a drainage management method and a system for performing the same, which can display multiple drainage facilities in a clustering manner on a map-based screen and intuitively provide risk grade information according to the facility status.

[0016] In addition, the problem that the present invention aims to solve is to provide a drainage management method and a system for performing the same, which provide status data and flood risk information of drainage facilities in real time through a manager terminal and enable remote monitoring of the status of drainage facilities.

[0017] In addition, the problem that the present invention aims to solve is to provide a drainage management method capable of transmitting flood risk information of a drainage facility in real time in conjunction with an external disaster response system, and a system for performing the same.

[0018] The problems that the present invention aims to solve are not limited to those described above, and problems not mentioned will be clearly understood by those skilled in the art from this specification and the attached drawings. means of solving the problem

[0019] A drainage management method utilizing an artificial intelligence model according to an embodiment of the present invention comprises: a step of collecting and preprocessing drainage facility status data from a drainage device and a camera unit; a step of determining the state of a drainage facility using the preprocessed drainage facility status data as input to the artificial intelligence model; a step of controlling the drainage device based on the result of determining the state of the drainage facility; and a step of monitoring the drainage facility based on the drainage facility status data and the drainage device control data; wherein the state of the drainage facility may include at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

[0020] In addition, a drainage management system utilizing an artificial intelligence model according to an embodiment of the present invention comprises: a communication unit that transmits and receives data to and from a drainage device and a camera unit; a memory in which at least one program is stored; and a processor that executes the at least one program to determine the state of a drainage facility based on the artificial intelligence model and controls the drainage device. The processor comprises: a preprocessing unit that collects and preprocesses drainage facility state data from the drainage device and the camera unit; a judgment unit that determines the state of a drainage facility using the preprocessed drainage facility state data as input to the artificial intelligence model; a control unit that controls the drainage device based on the result of determining the state of the drainage facility; and a monitoring unit that monitors the drainage facility based on the drainage facility state data and the drainage device control data. The state of the drainage facility may include at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

[0021] The means for solving the problem of the present invention are not limited to the means for solving the problem described above, and unmentioned means for solving the problem will be clearly understood by those skilled in the art from this specification and the attached drawings. Effects of the invention

[0022] According to one embodiment of the present invention, the operational status of a drainage facility can be efficiently identified by analyzing the condition of the drainage facility in real time based on water level data and floating debris inflow data around the drainage facility. Accordingly, abnormal conditions of the drainage facility can be detected early, and the possibility of flooding can be responded to in advance.

[0023] In addition, according to one embodiment of the present invention, since changes in water level and the state of floating matter inflow can be analyzed based on imaging data acquired through an imaging unit, the environmental conditions around the drainage facility can be identified more accurately. Accordingly, the accuracy and reliability of drainage facility management can be improved compared to existing simple sensor-based monitoring methods.

[0024] In addition, according to one embodiment of the present invention, since the flood risk can be calculated by comprehensively analyzing information on water level changes, floating material density, and the operating status of the drainage device, the possibility of flooding around the drainage facility can be determined more precisely. Accordingly, the possibility of flood damage can be predicted in advance, and response efficiency can be improved.

[0025] In addition, according to one embodiment of the present invention, the operation of a drainage gate or a drainage gate debris remover can be automatically controlled based on the calculated flood risk, thereby automating the operation of the drainage facility and improving drainage efficiency. Accordingly, rapid and stable drainage response is possible even in emergency situations such as torrential rain.

[0026] In addition, according to one embodiment of the present invention, the shooting direction or shooting angle of the camera unit can be automatically controlled based on water level data and the state of floating matter inflow, thereby enabling more effective shooting and analysis of the surroundings of the drainage facility. Accordingly, the efficiency of image-based drainage facility management can be improved.

[0027] In addition, according to one embodiment of the present invention, by displaying multiple drainage facilities in a clustering manner on a map-based screen and providing risk grades based on facility status using colors, an administrator can intuitively grasp the status of drainage facilities in a wide area. Accordingly, it is possible to quickly identify hazardous areas and manage facilities efficiently.

[0028] In addition, according to one embodiment of the present invention, the status of the drainage facility and the flood risk level are provided in real time through a manager terminal, thereby enabling effective monitoring of the drainage facility's status even from a remote location. Accordingly, the convenience of managing the drainage facility and operational efficiency can be improved.

[0029] In addition, according to one embodiment of the present invention, flood risk information of drainage facilities can be transmitted in real time in conjunction with an external disaster response system, thereby strengthening the flood response system through information sharing with disaster response agencies. Accordingly, regional disaster response capabilities and the level of public safety can be improved. Brief explanation of the drawing

[0030] FIG. 1 is a diagram illustrating the operation of a drainage management system according to an embodiment of the present invention. FIG. 2 is a drawing illustrating the detailed configuration of a drainage management system according to one embodiment of the present invention. FIG. 3 is a drawing illustrating an example of a screen displayed on an administrator terminal according to an embodiment of the present invention. FIG. 4 is a diagram illustrating a method in which a drainage management system according to one embodiment of the present invention determines the status of a drainage facility based on an artificial intelligence model and controls a drainage device. Specific details for implementing the invention

[0031] The aforementioned objectives, features, and advantages of the present application will become more apparent from the following detailed description in conjunction with the accompanying drawings. However, as the present application is subject to various modifications and may have various embodiments, specific embodiments are illustrated in the drawings and described in detail below.

[0032] Throughout the specification, identical reference numbers generally represent identical components. Additionally, components with identical functions within the same scope of concept appearing in the drawings of each embodiment are described using the same reference numeral, and redundant descriptions thereof are omitted.

[0033] If it is determined that a detailed description of known functions or configurations related to this application could unnecessarily obscure the essence of this application, such detailed description is omitted. Furthermore, numbers used in the description of this specification (e.g., First, Second, etc.) are merely identifiers to distinguish one component from another.

[0034] Furthermore, the suffixes "module" and "part" for components used in the following embodiments are assigned or used interchangeably solely for the ease of drafting the specification, and do not inherently possess distinct meanings or roles.

[0035] In the following examples, singular expressions include plural expressions unless the context clearly indicates otherwise.

[0036] In the following embodiments, terms such as "include" or "have" mean that the features or components described in the specification are present, and do not preclude the possibility that one or more other features or components may be added.

[0037] In the drawings, the size of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are arbitrarily depicted for convenience of explanation, and the present invention is not necessarily limited to what is illustrated.

[0038] Where an embodiment can be implemented differently, the order of a particular process may be performed differently from the order described. For example, two processes described consecutively may be performed substantially simultaneously or proceed in the reverse order of the description.

[0039] In the following embodiments, when components are described as being connected, the case includes not only instances where the components are directly connected but also instances where components are indirectly connected by interposing them in between.

[0040] For example, when it is stated in this specification that components, etc. are electrically connected, it includes not only cases where the components, etc. are directly electrically connected, but also cases where components, etc. are interposed in between and are indirectly electrically connected.

[0041] Hereinafter, with reference to FIGS. 1 to 4, a drainage management method utilizing an artificial intelligence model of the present invention and a system for performing the same will be described.

[0042] FIG. 1 is a drawing illustrating the operation of a drainage management system according to one embodiment of the present invention, and FIG. 2 is a drawing illustrating the detailed configuration of a drainage management system according to one embodiment of the present invention.

[0043] Referring to FIG. 1, the drainage management system (100) can transmit and receive data with a drainage device (drainage gate (10), drainage gate dust collector (20), a camera unit (30), and a manager terminal (40).

[0044] Here, the drainage device may include a drainage gate (10) and a drainage gate debris remover (20). First, the drainage gate (10) may include a drainage facility installed in a stream, drainage channel, or waterway to control the flow of water by opening and closing a sluice gate according to changes in the water level. The drainage gate (10) may have a structure to discharge water from the internal waterway to the outside or prevent backflow during heavy rainfall or a rise in the water level. Additionally, the drainage gate (10) may include a sluice gate structure, an opening and closing drive device, and at least one sensor.

[0045] For example, the drainage gate (10) may include at least one of a water level sensor, a flow sensor, or an environmental sensor. The drainage gate (10) can measure water level data around the drainage gate (10) or inside the waterway through the water level sensor. Additionally, the drainage gate (10) can measure flow rate data of water passing through the drainage gate (10) through the flow sensor. Based on this, the drainage state of the drainage gate (10) or changes in flow rate due to the opening and closing of the sluice gate can be identified. Furthermore, the drainage gate (10) can acquire environmental data such as rainfall amount, ambient temperature, or humidity through an environmental sensor such as a rainfall sensor, a temperature sensor, or a humidity sensor.

[0046] Meanwhile, the drainage gate (10) may further include various sensors for determining the condition of the drainage facility, not limited thereto. For example, the drainage gate (10) may include a vibration sensor, a voltage sensor, or a current sensor for detecting the condition of the drainage gate driving device.

[0047] Additionally, the drain gate debris remover (20) may be installed in front of or near the drain gate (10). The drain gate debris remover (20) may include a device for filtering out floating debris (floating matter) such as branches, fallen leaves, plastic, and trash that flow in with the water. The drain gate debris remover (20) may include a grid-structured screen or a rake structure. The drain gate debris remover (20) may collect or remove floating debris (floating matter) using a drive device driven by a drive motor.

[0048] The drainage gate debris remover (20) may include a drive motor, a drive shaft, and a conveying structure. The drainage gate debris remover (20) can remove floating debris (floating matter) by moving a rake or screen through the rotation of the drive motor. At this time, if a tree branch or a large floating object gets caught on the structure of the drainage gate debris remover (20), the load on the drive motor may increase. Accordingly, a phenomenon may occur in which the current of the drive motor of the drainage gate debris remover (20) rises rapidly.

[0049] The drainage gate vibration remover (20) may include a sensor capable of detecting the operating state. More specifically, the drainage gate vibration remover (20) may include a sensor for measuring state data including current, voltage, and vibration flowing through the driving motor.

[0050] For example, the drain gate (10) and the drain gate vibration remover (20) can measure the current value applied to the drive motor through a current sensor, thereby detecting the load condition of the drive motor. In addition, the drain gate (10) and the drain gate vibration remover (20) can measure the voltage condition supplied to the drive motor through a voltage sensor and measure vibration data generated through a vibration sensor. Thus, the drain gate (10) and the drain gate vibration remover (20) can detect foreign matter jamming or the load condition.

[0051] Additionally, the drainage gate (10) and the drainage gate debris remover (20) may include a communication module for transmitting and receiving data with the drainage management system (100). Thus, the drainage gate (10) and the drainage gate debris remover (20) can transmit and receive status data of the drainage facility and control data of the drainage device (drainage gate (10) and drainage gate debris remover (20)) with the drainage management system (100).

[0052] The drainage gate (10) and the drainage gate dust collector (20) can transmit status data of the drainage facility to the drainage management system (100) at regular intervals, and the status data of the drainage facility can be used as input data for an artificial intelligence model to analyze the status of the drainage facility.

[0053] Meanwhile, the imaging unit (30) may include a camera device for photographing the section where the drainage gate (10) and the drainage gate debris remover (20) are installed. The imaging unit (30) can obtain water level data and floating matter inflow data for a certain section where the drainage gate (10) and the drainage gate debris remover (20) are installed. More specifically, the imaging unit (30) can photograph changes in water level and the inflow or operation status of floating debris (floating matter) around the drainage gate (10) and the drainage gate debris remover (20).

[0054] Here, the shooting unit (30) can obtain water level data based on changes in the position of the water surface by analyzing the shooting data. In addition, the shooting unit (30) can calculate floating material inflow data by analyzing the number, size, or movement pattern of floating materials detected within the shooting data.

[0055] The shooting unit (30) can acquire shooting data by capturing the area around the drainage gate (10) and the drainage gate debris collector (20). The shooting data can be formed in the form of video and images. The shooting unit (30) can transmit the shooting data to the drainage management system (100) at regular intervals. The shooting data can be used as input data for an artificial intelligence model to analyze the condition of the drainage facility as drainage facility condition data.

[0056] Additionally, the shooting unit (30) may include a fixed camera or a camera with a pan-tilt function, and may include an infrared (IR) shooting function to enable shooting even in night or low-light environments. Furthermore, the shooting unit (30) may include a night vision shooting function to enable shooting even in extremely low-light environments. The shooting unit (30) can selectively shoot a specific section around the drainage facility by receiving control data from the drainage management system (100) and changing the shooting direction or shooting section.

[0057] The drainage management system (100) can collect drainage facility status data from the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the shooting unit (30).

[0058] More specifically, the drainage management system (100) can collect environmental sensor data including water level data, flow rate data, rainfall data, humidity data, temperature data, etc. through sensors provided in the drainage gate (10) and the drainage gate vibration remover (20). In addition, the drainage management system (100) can collect measurement data including current data, voltage data, and vibration data through sensors provided in the drainage gate (10) and the drainage gate vibration remover (20).

[0059] The drainage management system (100) can receive photographic data of the surrounding drainage facility through the photographic unit (30). The drainage management system (100) can collect water level data and floating matter inflow data based on the photographic data.

[0060] The drainage management system (100) can preprocess collected drainage facility status data. For example, the drainage management system (100) can perform preprocessing including time synchronization and normalization on the collected drainage facility status data to use as input data for an artificial intelligence model.

[0061] The drainage management system (100) can determine the status of the drainage facility by inputting preprocessed data into an artificial intelligence model. More specifically, the drainage management system (100) can determine whether the driving motor operation status of the drainage device (drainage gate (10), drainage gate debris remover (20)) is normal, overloaded, or restricted based on current data. In addition, the drainage management system (100) can determine at least one of the floating debris inflow status or water level status by calculating the flood risk based on captured data.

[0062] The drainage management system (100) can generate drainage facility control data based on the judgment result. For example, the drainage management system (100) can generate a drive motor control signal for the drainage gate dust collector (20) or an opening / closing control signal for the drainage gate (10).

[0063] The drainage management system (100) can control the operation of the drainage device (drainage gate (10) and drainage gate dust collector (20)) by providing the generated drainage facility control data to the drainage gate (10) and the drainage gate dust collector (20), and can also provide a control signal to control the shooting operation of the shooting unit (30).

[0064] The administrator terminal (40) may include various electronic devices equipped with communication functions, such as smartphones, mobile phones, tablets, desktop computers, and laptop computers, and may access the drainage management system (100) through a dedicated application or a web browser-based environment.

[0065] More specifically, the administrator terminal (40) can receive drainage facility status data from the drainage management system (100) and display it through a user interface. For example, the administrator terminal (40) can receive and display water level data around the drainage device (drainage gate (10) and drainage gate debris remover (20)). For example, the water level data can be visualized and displayed in the form of a water level graph.

[0066] Additionally, the administrator terminal (40) can receive and display current data of the drainage device (drainage gate (10) and drainage gate vibration remover (20)). The current data can be displayed in the form of a current waveform. Also, the administrator terminal (40) can display shooting data installed at a specific location.

[0067] Additionally, the administrator terminal (40) can receive and display the results of the drainage facility status determination performed by the drainage management system (100). For example, the administrator terminal (40) can display through a user interface the results of the determination of whether the driving motor operation status of the drainage device (drainage gate (10) and drainage gate dust collector (20)) is normal, overloaded, or constrained, the inflow status of floating debris (floating matter), or the analysis results regarding the density of floating debris (floating matter).

[0068] Additionally, the administrator terminal (40) can generate and transmit to the drainage management system (100) a control command for opening and closing the drainage gate (10) or a control command for driving the drainage gate debris collector (20). Through this, the administrator can monitor the status of the drainage facility in real time from a remote location and control the operation of the drainage device (drainage gate (10) and drainage gate debris collector (20)) as needed.

[0069] In addition, the administrator terminal (40) can generate control commands to adjust the shooting direction, shooting angle, or shooting section of the shooting unit (30) and transmit them to the drainage management system (100). Through this, the administrator can selectively check a specific section around the drainage facility and monitor the condition of the drainage facility more efficiently.

[0070] In this way, the drainage management system (100) independently determines the condition of the drainage facility and controls the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the camera unit (30), thereby enabling stable operation of the drainage facility even when communication with the control server (not shown) is disconnected. Additionally, the drainage management system (100) can efficiently manage the drainage facility without the intervention of a manager.

[0071] Additionally, the drainage management system (100) may include a waterproof and dustproof structure to enable stable operation in outdoor environments, such as agricultural drainage ditches. More specifically, the drainage management system (100) may be packaged in a fanless aluminum or stainless steel housing with waterproof and dustproof features. This allows the drainage management system (100) to prevent the ingress of external dust, moisture, and foreign matter, and enables stable operation even in harsh environments.

[0072] Additionally, the drainage management system (100) may include a battery pack linked to a solar panel so that it can operate even in emergency situations such as a power outage, thereby enabling a power redundancy structure.

[0073] Meanwhile, the drainage management system (100) may further include a cloud-based integrated management server (not shown). The integrated management server (not shown) can store collected drainage facility status data, operation data of drainage devices (drainage gate (10) and drainage gate dust collector (20)), and a camera unit (30). Additionally, the integrated management server (not shown) may display the stored data on a manager terminal (40).

[0074] The integrated management server (not shown) can establish a drainage facility inventory database that maps facility IDs at the drainage facility level to device IDs at the installed equipment level. Through this, the integrated management server (not shown) can continuously manage water level data and equipment operation history data of the drainage facilities without interruption, even when equipment replacement or maintenance is performed.

[0075] Referring to FIGS. 1 and 2, the drainage management system (100) may include a communication unit (110), a processor (120), and a memory (130).

[0076] The communication unit (110) can support the establishment of a direct communication channel or a wireless communication channel between the drainage management system (100) and an external electronic device (drainage device (drainage gate (10) and drainage gate dust collector (20)), a camera unit (30), an administrator terminal (40), etc.), and the performance of communication through the established communication channel. The communication unit (110) may include one or more communication processors that operate independently and support direct (e.g., wired) communication or wireless communication.

[0077] According to one embodiment, the communication unit (110) may include a wireless communication module (e.g., a cellular communication module, a short-range wireless communication module, or a GNSS (global navigation satellite system) communication module) or a wired communication module (e.g., a LAN (local area network) communication module, or a power line communication module). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips).

[0078] For example, the communication unit (110) can be connected to the drive motor controller of the drainage gate dust collector (20), which is a device for removing debris and a hoist responsible for opening and closing the drainage gate (10), via an RS-485-based communication interface. The communication unit (110) can transmit and receive data with the drainage gate (10) and the drainage gate dust collector (20) using an industrial communication protocol including Modbus RTU.

[0079] Additionally, the communication unit (110) can be connected to sensors installed in the drainage gate (10) and the drainage gate vibration remover (20) to collect sensor data. For example, the communication unit (110) can be connected via the 4-20mA analog interface of the water level sensor, thereby enabling stable collection of water level data while minimizing external noise interference.

[0080] In addition, the communication unit (110) supports a secure channel based on encrypted communication (e.g., TLS (Transport Layer Security)) to ensure the integrity and confidentiality of data between the drainage device (drainage gate (10) and drainage gate vibration remover (20)) and the imaging unit (30).

[0081] The processor (120) can execute at least one program to determine the status of the drainage facility based on an artificial intelligence model and control the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the imaging unit (30). More specifically, the Micro Controller Unit (MCU) that acts as the brain of the processor (120) includes a high-performance CPU (Central Processing Unit) and may be equipped with a Neural Processing Unit (NPU) that provides at least 3.0 TOPS (Trillions of Operations Per Second) of computational performance.

[0082] Here, the NPU (Neural Processing Unit) is a hardware acceleration processor specialized for artificial neural network operations, and may be a computing unit designed to process large-scale parallel operations, such as matrix multiplication and vector operations performed by deep learning-based artificial intelligence models, at high speed.

[0083] The NPU can process multi-channel video of 1080p resolution in real time, extract features of objects within the video, and perform inference operations to detect and recognize floating debris, floating objects, obstacles, or facility status objects based on a pre-trained artificial intelligence model. Through this, the processor (120) can analyze the situation around the drainage facility in real time and generate operation control data for the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the camera unit (30) based on the analysis results.

[0084] The processor (120) can execute software to control at least one other component (e.g., hardware or software component) connected to the processor (120) and can perform various data processing or operations. According to one embodiment, the processor (120) may include a main processor (e.g., a central processing unit or an application processor) or an auxiliary processor (e.g., a neural processing unit (NPU)) that can operate independently or together with it.

[0085] According to one embodiment, an auxiliary processor (e.g., a neural network processing unit) may include a hardware structure specialized for processing an artificial intelligence model. The artificial intelligence model may be generated through machine learning. Such learning may be performed, for example, on the server (not shown) where the artificial intelligence is performed, or through a separate server. The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-networks, or a combination of two or more of the above, but is not limited to the examples described above. Artificial intelligence models may include software structures, either additionally or as a substitute, in addition to hardware structures.

[0086] In the present invention, the artificial intelligence model mounted on the processor (120) can be optimized to operate in real time in an edge environment with limited computational resources.

[0087] More specifically, a deep learning-based artificial intelligence model trained in a high-performance server environment may undergo a model optimization process so that it can be efficiently executed on the NPU of the processor (120). For example, during the training process, a quantization technique may be applied to the artificial intelligence model to convert a model generated based on Float32 (32-bit floating-point) operations into an INT8 (8-bit integer) form to improve inference performance in an edge environment. Through this, the processor (120) can reduce the amount of computation and memory usage of the artificial intelligence model and improve the inference speed on the edge NPU.

[0088] Additionally, the processor (120) may apply a pruning technique to simplify the structure of the model by removing unnecessary weights of the artificial intelligence model. For example, the processor (120) can reduce the size of the artificial intelligence model while maintaining key feature extraction performance by removing weights of low importance.

[0089] In addition, the processor (120) may apply a knowledge distillation technique that transfers knowledge from a large deep learning model (Teacher Model) learned in a high-performance server environment to a lightweight model (Student Model). Through this, the processor (120) can secure high object detection accuracy while maintaining a relatively small model structure.

[0090] Through this model lightweighting and optimization process, the processor (120) can reliably perform real-time video analysis and determine the status of drainage facilities even in an edge environment with limited computational resources.

[0091] Meanwhile, the processor (120) may include a preprocessing unit (121), a judgment unit (122), a control unit (123), and a monitoring unit (124).

[0092] First, the preprocessing unit (121) can collect and preprocess drainage facility status data from the drainage device (drainage gate (10) and drainage gate vibration remover (20)) and the imaging unit (30). More specifically, the preprocessing unit (121) can collect measurement data and environmental sensor data from the drainage device (drainage gate (10) and drainage gate vibration remover (20)) as drainage facility status data. Here, the measurement data includes current data, voltage data, and vibration data, and the environmental sensor data may include water level data, flow rate data, rainfall data, humidity data, temperature data, etc.

[0093] Additionally, the preprocessing unit (121) can collect shooting data from the shooting unit (30) of a certain section where a drainage device (drainage gate (10) and drainage gate debris remover (20)) is installed as drainage facility status data. The shooting data may include water level data based on the water surface position and floating debris inflow data based on the number, size, or movement pattern of floating debris.

[0094] Meanwhile, the preprocessing unit (121) can perform preprocessing including time synchronization and normalization to use the collected drainage facility status data as input data for an artificial intelligence model.

[0095] More specifically, the preprocessing unit (121) can perform time synchronization processing to align the data to the same time standard, since the measurement data and environmental sensor data collected from the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the shooting data collected from the shooting unit (30) may have different collection cycles or data formats.

[0096] For example, the preprocessing unit (121) can align the data on the same time axis (Time-series) based on time information included in each data, taking into account cases where measurement data and environmental sensor data are collected at a constant interval of seconds or milliseconds and cases where shooting data is generated in frames. Here, the preprocessing unit (121) can align the measurement data and environmental sensor data and the shooting data on the same time axis (Time-series) by mapping the GPS sensor-based precise time information included in the measurement data and environmental sensor data and the shooting data collected at a frequency of 1 Hz (once per second) or more.

[0097] That is, the preprocessing unit (121) can perform data synchronization to analyze the causal relationship between the water level change at a specific point in time, the floating matter inflow state, and the state of the drainage device (drainage gate (10) and drainage gate dust collector (20)).

[0098] Additionally, the preprocessing unit (121) may perform noise removal and outlier correction processing to remove disturbances or measurement errors that may be included in measurement data or environmental sensor data. For example, to mitigate sudden fluctuations in values ​​caused by wave ripples, raindrop collisions, sensor errors, etc., that may occur in a water level sensor or ultrasonic sensor, filtering processing or outlier removal algorithms (e.g., Kalman Filter or Z-Score, Min-Max normalization) may be applied.

[0099] In addition, the preprocessing unit (121) may perform data normalization or scaling to adjust the value range of each data to match the input data format of the artificial intelligence model. For example, the preprocessing unit (121) may convert or normalize values ​​such as measurement data, environmental sensor data, water level data, and floating matter inflow data into a preset range so that data having different units can be integrated into the input vector of the artificial intelligence model.

[0100] The drainage facility status data preprocessed in this way can be provided as input data to an artificial intelligence model and utilized for analysis to determine the operating status of the drainage device, the risk of water level rise, or the status of floating debris inflow.

[0101] The judgment unit (122) can determine the state of the drainage facility by using the preprocessed drainage facility state data as input to an artificial intelligence model. The state of the drainage facility may include at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

[0102] More specifically, the judgment unit (122) can determine the operating state of the drainage device (drainage gate (10) and drainage gate vibration damper (20)) by analyzing the current data, voltage data, and vibration data of the drive motor included in the measurement data based on an artificial intelligence model. For example, the judgment unit (122) can determine whether the operating state of the drive motor of the drainage device (drainage gate (10) and drainage gate vibration damper (20)) is a normal state, an overload state, or a locked state by analyzing the change pattern of the current waveform generated by the drive motor.

[0103] For example, when a tree branch or a large floating object gets caught on the structure during the operation of the drainage gate dust collector (20), a sudden load is generated on the drive motor, and a torque spike phenomenon may occur in which the current value rises instantaneously. The judgment unit (122) can determine the normal state, overload state, or restricted state of the drive motor caused by foreign matter by analyzing the pattern of such current waveforms through an artificial intelligence model.

[0104] Additionally, the judgment unit (122) can determine the environmental conditions around the drainage facility by analyzing water level data and floating material inflow data based on an artificial intelligence model. For example, the judgment unit (122) can calculate the flood risk of the drainage facility by using water level data and floating material inflow data as inputs to the artificial intelligence model. Here, the artificial intelligence model can calculate the flood risk by analyzing at least one of the amount of change in water level data, whether the water level exceeds a threshold, the number, size or density of floating materials, and the inflow velocity of floating materials. The flood risk may be an indicator value that quantitatively represents the possibility of drainage failure based on the water level status or floating material inflow status of the drainage facility.

[0105] Accordingly, the judgment unit (122) can determine at least one of the floating object inflow state or the water level state based on the calculated flood risk. For example, the judgment unit (122) can determine the floating object inflow state as a dangerous state if the number or density of floating objects exceeds a reference value, and can determine the water level state as a dangerous state if the water level exceeds a preset threshold.

[0106] Meanwhile, the judgment unit (122) can determine whether operation of the drainage device (drainage gate (10) and drainage gate dust collector (20)) is necessary or whether an abnormal condition has occurred by comprehensively analyzing the results of the driving motor status judgment, the water level status judgment, and the floating matter inflow status judgment.

[0107] For example, the judgment unit (122) may determine that the operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) is required when the water level exceeds a threshold or the density of floating matter inflow is high. Additionally, the judgment unit (122) may determine that an abnormal condition has occurred in the drainage device (drainage gate (10) and drainage gate debris remover (20)) when an overload or constrained state of the drive motor is detected.

[0108] In addition, the judgment unit (122) can analyze water level data or floating matter inflow data using an artificial intelligence model and determine that it is necessary to photograph a section if a rise in water level is detected in a specific section within the drainage channel or if it is determined that there is a high possibility of floating matter inflow. That is, the judgment unit (122) can determine to adjust the shooting direction or shooting angle of the shooting unit (30).

[0109] For example, if the judgment unit (122) determines that the water level in a specific section around the drainage facility rises above a preset standard or the density of floating objects increases, it may determine that a pan, tilt, or zoom operation of the shooting unit (30) is necessary to take a picture centered on that section.

[0110] The control unit (123) can control the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the shooting unit (30) based on the result of determining the state of the drainage facility.

[0111] For example, if the control unit (123) determines that the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)) is in an overloaded state, it can immediately stop the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)) and control it to reverse after a certain period of time in order to prevent damage to the drainage device (drainage gate (10) and drainage gate debris remover (20)) and remove foreign matter. Afterward, the control unit (123) can control the device to discharge branches or large floating objects caught in the drainage device (drainage gate (10) and drainage gate debris remover (20)) through reverse rotation, maintain a stopped state for a certain period of time, and then resume forward rotation operation. Through this, the control unit (123) can automatically remove foreign substances that have entered the drainage device (drainage gate (10) and drainage gate dust remover (20)) without the intervention of a manager, thereby restoring the normal operation of the drainage device (drainage gate (10) and drainage gate dust remover (20)).

[0112] Additionally, the control unit (123) can control the opening and closing and operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) based on the result of determining the water level or the floating object inflow state. For example, the control unit (123) can control the opening and closing and operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) when the water level exceeds a preset threshold or the density of floating objects exceeds a preset reference value.

[0113] Meanwhile, not limited to this, the control unit (123) may selectively operate the drainage device (drainage gate (10) and drainage gate debris remover (20)) even when the water level is below a preset threshold, or when the density of floating objects exceeds a preset standard. Through this, the control unit (123) can prevent the blockage of the drainage gate (10) or the deterioration of its drainage function by removing the accumulation of floating objects in the drainage channel in advance.

[0114] Additionally, the control unit (123) can transmit control data to the shooting unit (30) to control the shooting angle, shooting direction, or shooting section. Through this, the control unit (123) can enable the shooting unit (30) to more accurately photograph the condition of the drainage channel, centering on the section where the drainage gate (10) and the drainage gate debris remover (20) are installed.

[0115] The monitoring unit (124) can monitor the drainage facility based on drainage facility status data and drainage device (drainage gate (10) and drainage gate dust collector (20)) control data. More specifically, the monitoring unit (124) can check the operating status of the drainage facility by collecting and analyzing in real time the drainage facility status data collected from the preprocessing unit (121), the drainage facility status judgment result determined by the judgment unit (122), and the drainage device (drainage gate (10) and drainage gate dust collector (20) and shooting unit (30) control data generated by the control unit (123).

[0116] For example, the monitoring unit (124) can visualize and display water level data, floating material inflow data, and the operation status of the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)), the open / closed status of the drainage gate (10), and the operation status of the drainage gate debris remover (20) on a user interface. Through this, the manager can intuitively check the current status of the drainage facility through the manager terminal (40).

[0117] For example, the monitoring unit (124) can visually display multiple drainage facilities on a map-based user interface. The monitoring unit (124) can perform a clustering function that merges multiple related drainage facility icons into a single group according to the zoom level of the map screen. At this time, the monitoring unit (124) can apply a state transition logic that displays the state of the facility with the highest risk grade among the multiple facilities included in the group as the representative state of the group icon. If at least one of the facilities in the group is in a severe state (e.g., red grade), the corresponding group icon is also displayed in red so that the manager can intuitively recognize the dangerous area even on the wide-area map.

[0118] Additionally, the monitoring unit (124) can display detailed information about the drainage facility when an administrator selects a group icon or a specific drainage facility icon. For example, when a specific drainage facility is selected, real-time video received from the shooting unit (30), a graph of the hourly change in water level data, and current waveform data of the driving motor of the drainage device (drainage gate (10) and drainage gate dust collector (20)) can be displayed in an integrated manner on a single user interface screen or pop-up window. Through this, the administrator can comprehensively check the status of the drainage facility through the administrator terminal (40) and quickly decide whether to respond.

[0119] At this time, the monitoring unit (124) can display a real-time image of the section where the drainage gate (10) and the drainage gate debris remover (20) are installed based on the shooting data received from the shooting unit (30), thereby allowing visual confirmation of changes in the water level or the inflow of floating matter within the drainage channel.

[0120] In addition, the monitoring unit (124) can store drainage facility status data, drainage device (drainage gate (10) and drainage gate dust collector (20)), and shooting unit (30) control data as history data to record the operation history of the drainage facility, the history of water level changes, and the history of device operation, and based on this, the operation status of the drainage facility can be analyzed over the long term or used to establish a maintenance plan.

[0121] Additionally, the monitoring unit (124) can transmit a warning notification or status information to the administrator terminal (40) when the flood risk of the drainage facility is determined to be above a preset standard or when an abnormal condition occurs in the drainage device (drainage gate (10) and drainage gate dust collector (20)), so that the administrator can quickly check the status of the drainage facility.

[0122] In addition, the monitoring unit (124) can provide the flood risk calculated by the judgment unit (122) in conjunction with an external system. For example, the monitoring unit (124) can transmit the flood risk to an external disaster response system via RESTful API specifications. The flood risk can be transmitted asynchronously (Push or Webhook) to the Ministry of the Interior and Safety's disaster response system or a weather-related agency system. Through this, the flood risk can be utilized in a public disaster warning system or a disaster text message sending system.

[0123] The drainage management system (100) of the present invention configured as described above can automatically determine the water level status of the drainage facility, the status of floating matter inflow, and the abnormal status of the drainage device (drainage gate (10) and drainage gate debris remover (20)) by analyzing various drainage facility status data collected from the drainage device (drainage gate (10) and drainage gate debris remover (20)) and the imaging unit (30) in real time based on an artificial intelligence model.

[0124] In addition, the drainage management system (100) can automatically control the opening and closing of the drainage gate (10) and the operation of the drainage gate debris remover (20) according to the judgment result, thereby preventing in advance the failure of the drainage device (drainage gate (10) and drainage gate debris remover (20)) or the deterioration of the drainage function caused by floating debris in the drainage channel.

[0125] In addition, since the drainage management system (100) of the present invention is configured to operate independently in an edge environment, it is possible to stably operate the drainage facility even in disaster situations where communication with an external control server is disconnected, and it is possible to efficiently manage the drainage facility without the intervention of a manager.

[0126] Accordingly, according to the present invention, the drainage management system (100) can improve the operational stability of the drainage facility and effectively prevent problems such as flooding or drainage failure by monitoring the condition of the drainage facility in real time and automatically controlling it.

[0127] FIG. 3 is a drawing illustrating an example of a screen displayed on an administrator terminal according to an embodiment of the present invention.

[0128] Referring to FIG. 3, the screen of the administrator terminal (40) may include a facility information area (L), a map-based display area (M), and a shooting data display area (C) so that status information of the drainage facility can be intuitively understood.

[0129] First, basic information about multiple drainage facilities can be displayed in a list format in the facility information area (L). For example, status information such as the facility ID, installation location, water level, flow rate, rainfall, and last update time of each drainage facility can be displayed in the facility information area (L). This allows the manager to quickly check the status of multiple drainage facilities on a single screen.

[0130] In addition, multiple drainage facilities can be displayed as icons on a map (GIS) within the map-based display area (M). For example, the map-based display area (M) can merge multiple adjacent drainage facility icons into a single group based on the map zoom level. Furthermore, the color of the group icon can be displayed based on the status of the facility with the highest flood risk among the drainage facilities included in the group. This allows the manager to intuitively identify sections with a high risk of flooding among the drainage facilities distributed over a wide area.

[0131] Additionally, a graph (G) indicating the state change of a specific drainage facility may be displayed together in the map-based display area (M). For example, the graph (G) may display a water level change graph or a flow rate change graph, allowing visual confirmation of the state change of the drainage facility over time.

[0132] Here, the map-based display area (M) can display or highlight an icon (I) corresponding to the installation location of the selected drainage facility on the map when a specific facility is selected among the multiple drainage facilities displayed in the facility information area (L). Through this, the manager can intuitively check the location of the selected drainage facility on the map.

[0133] Meanwhile, the image of the drainage facility captured by the shooting unit (30) may be displayed in the shooting data display area (C). For example, the real-time image or stored image of the drainage gate or drainage channel section may be displayed in the shooting data display area (C), and through this, the manager can visually check the water level or floating debris inflow status around the drainage facility.

[0134] Here, the shooting data display area (C) can display real-time video or stored shooting data captured by a shooting unit (30) installed in a drainage facility corresponding to the icon (I) when a specific icon (I) displayed in the map-based display area (M) is selected.

[0135] In this way, the manager terminal (40) can support the manager in intuitively understanding the status of the drainage facility and responding quickly by providing map-based information, facility status information, and captured images in an integrated manner.

[0136] FIG. 4 is a diagram illustrating a method in which a drainage management system according to one embodiment of the present invention determines the status of a drainage facility based on an artificial intelligence model and controls a drainage device.

[0137] Referring to FIG. 4, in step (S110), the drainage management system (100) can collect and preprocess drainage facility status data from the drainage device (drainage gate (10), drainage gate dust collector (20)) and the imaging unit (30).

[0138] More specifically, the drainage management system (100) can collect measurement data and environmental sensor data as drainage facility status data from a drainage device (drainage gate (10) and drainage gate vibration remover (20)). Here, the measurement data includes current data, voltage data and vibration data, and the environmental sensor data may include water level data, flow rate data, rainfall data, humidity data, temperature data, etc.

[0139] Additionally, the drainage management system (100) can collect, from the shooting unit (30), shooting data of a certain section where a drainage device (drainage gate (10) and drainage gate debris remover (20)) is installed as drainage facility status data. The shooting data may include water level data based on the water surface position and floating debris inflow data based on the number, size, or movement pattern of floating debris.

[0140] The drainage management system (100) can perform preprocessing including time synchronization and normalization to use the collected drainage facility status data as input data for an artificial intelligence model.

[0141] The drainage management system (100) can perform time synchronization processing to align the data to the same time standard, as the measurement data and environmental sensor data collected from the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the shooting data collected from the shooting unit (30) may have different collection cycles or data formats.

[0142] That is, the drainage management system (100) can perform data synchronization to analyze the causal relationship between the water level change at a specific point in time, the state of floating matter inflow, and the state of the drainage device (drainage gate (10) and drainage gate debris remover (20)).

[0143] Additionally, the drainage management system (100) can perform noise removal and outlier correction processing to remove disturbances or measurement errors that may be included in measurement data or environmental sensor data.

[0144] In addition, the drainage management system (100) can perform data normalization or scaling to adjust the value range of each data to match the input data format of the artificial intelligence model.

[0145] In step (S120), the drainage management system (100) can determine the state of the drainage facility based on preprocessed drainage facility state data. More specifically, the drainage management system (100) can determine the state of the drainage facility by using the preprocessed drainage facility state data as input to an artificial intelligence model. The state of the drainage facility may include at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

[0146] More specifically, the drainage management system (100) can determine the operating state of the drainage device (drainage gate (10) and drainage gate vibration damper (20)) by analyzing the current data, voltage data, and vibration data of the drive motor included in the measurement data based on an artificial intelligence model. For example, the drainage management system (100) can determine whether the operating state of the drive motor of the drainage device (drainage gate (10) and drainage gate vibration damper (20)) is a normal state, an overload state, or a locked state by analyzing the change pattern of the current waveform generated by the drive motor.

[0147] Additionally, the drainage management system (100) can calculate the flood risk of the drainage facility by using water level data and floating material inflow data as inputs to an artificial intelligence model. Here, the artificial intelligence model can calculate the flood risk by analyzing at least one of the amount of change in water level data, whether the water level exceeds a threshold, the number, size or density of floating materials, and the inflow velocity of floating materials. The flood risk may be an indicator value that quantitatively represents the possibility of drainage failure based on the water level status or floating material inflow status of the drainage facility.

[0148] Accordingly, the drainage management system (100) can determine at least one of the floating object inflow state or the water level state based on the calculated flood risk. For example, the drainage management system (100) can determine the floating object inflow state as a dangerous state if the number or density of floating objects exceeds a reference value, and can determine the water level state as a dangerous state if the water level exceeds a preset threshold.

[0149] The drainage management system (100) can determine that the operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) is required when the water level exceeds a critical value or when the density of floating matter inflow is determined to be high. Additionally, the drainage management system (100) can determine that an abnormal condition has occurred in the drainage device (drainage gate (10) and drainage gate debris remover (20)) when an overload or constrained state of the drive motor is detected.

[0150] In addition, the drainage management system (100) can analyze water level data or floating matter inflow data using an artificial intelligence model and determine that it is necessary to photograph the section where a rise in water level is detected or where there is a high possibility of floating matter inflow in a specific section within the drainage channel.

[0151] In step (S130), the drainage management system (100) can control the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the camera unit (30) based on the result of determining the state of the drainage facility.

[0152] More specifically, when the drainage management system (100) determines that the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)) is in an overloaded state, it can immediately stop the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)) and control it to rotate in reverse after a certain period of time in order to prevent damage to the drainage device (drainage gate (10) and drainage gate debris remover (20)) and remove foreign matter. Afterward, the drainage management system (100) can control the device to discharge branches or large floating objects caught in the drainage device (drainage gate (10) and drainage gate debris remover (20)) through reverse rotation, maintain a stopped state for a certain period of time, and then resume forward rotation operation.

[0153] Through this, the drainage management system (100) can automatically remove foreign substances that have entered the drainage device (drainage gate (10) and drainage gate debris remover (20)) without intervention by a manager, thereby restoring the normal operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)).

[0154] Additionally, the drainage management system (100) can control the opening and closing and operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) based on the result of determining the water level or the floating object inflow state. For example, the drainage management system (100) can control the opening and closing and operation of the drainage device (drainage gate (10) and drainage gate debris remover (20)) when the water level exceeds a preset threshold or the density of floating objects exceeds a preset standard.

[0155] Meanwhile, not limited to this, the drainage management system (100) may selectively operate the drainage device (drainage gate (10) and drainage gate debris remover (20)) even when the water level is below a preset threshold and the density of floating objects exceeds a preset standard. Through this, the drainage management system (100) can prevent the blockage of the drainage gate (10) or the deterioration of its drainage function by removing the accumulation of floating objects in the drainage channel in advance.

[0156] Additionally, the drainage management system (100) can transmit control data to the shooting unit (30) to control the adjustment of the shooting angle, shooting direction, or shooting section. Through this, the drainage management system (100) can intensively shoot areas where there is a high probability of abnormal conditions occurring in the drainage facility, and the manager can more clearly identify the location where the dangerous situation occurred.

[0157] In step (S140), the drainage management system (100) can monitor the drainage facility based on drainage facility status data and drainage device (drainage gate (10) and drainage gate dust collector (20)) control data.

[0158] More specifically, the drainage management system (100) can check the operating status of the drainage facility by collecting and analyzing in real time collected drainage facility status data, drainage facility status judgment results, and drainage device (drainage gate (10) and drainage gate dust collector (20)) and imaging unit (30) control data generated by the control unit (123).

[0159] The drainage management system (100) can visualize and display water level data, floating matter inflow data, the operating status of the driving motor of the drainage device (drainage gate (10) and drainage gate debris remover (20)), the opening and closing status of the drainage gate (10), and the operating status of the drainage gate debris remover (20) on a user interface. Through this, the manager can intuitively check the current status of the drainage facility using a manager terminal (40).

[0160] The drainage management system (100) can display images of the section where the drainage gate (10) and the drainage gate debris remover (20) are installed in real time based on shooting data received from the shooting unit (30), thereby allowing visual confirmation of changes in water level or floating debris inflow in the drainage channel.

[0161] In addition, the drainage management system (100) can store drainage facility status data, drainage device (drainage gate (10) and drainage gate dust collector (20)), and camera unit (30) control data as history data to record the operation history of the drainage facility, the history of water level changes, and the history of device operation, and based on this, can be used to analyze the operation status of the drainage facility over the long term or to establish a maintenance plan.

[0162] Additionally, the drainage management system (100) can transmit a warning notification or status information to an administrator terminal (40) when the flood risk of the drainage facility is determined to be above a preset standard or when an abnormal condition occurs in the drainage device (drainage gate (10) and drainage gate dust collector (20)), so that the administrator can quickly check the status of the drainage facility.

[0163] In addition, the drainage management system (100) can provide the calculated flood risk level in conjunction with an external system. Through this, the flood risk level can be utilized in a public disaster warning system or a disaster text message sending system.

[0164] The actions in FIG. 4 are not limited in order, and additional actions may be performed between two adjacent actions. Additionally, at least some of the actions in FIG. 4 may be omitted.

[0165] In this way, a drainage management system (100) according to one embodiment of the present invention can determine the state of a drainage facility by analyzing various drainage facility state data collected from a drainage device (drainage gate (10) and drainage gate debris remover (20)) and a shooting unit (30) based on an artificial intelligence model. In addition, the drainage management system (100) can automatically control the drainage device (drainage gate (10) and drainage gate debris remover (20)) and the shooting unit (30) according to the result of determining the state of the drainage facility.

[0166] Accordingly, the drainage management system (100) can support the stable operation of the drainage facility without the intervention of a manager by rapidly detecting a rise in the water level in the drainage channel, an inflow of floating debris, or an abnormal condition of the drainage device (drainage gate (10) and drainage gate debris remover (20)) and automatically performing a control operation corresponding to it.

[0167] In addition, the drainage management system (100) can improve the efficiency of preemptive response to flood risk and disaster management by continuously monitoring the condition of the drainage facility based on collected drainage facility status data and the control history of the drainage device (drainage gate (10) and drainage gate dust collector (20)) and the camera unit (30), and by providing risk information in conjunction with an external system.

[0168] The features, structures, effects, etc. described in the embodiments above are included in at least one embodiment of the present invention and are not necessarily limited to only one embodiment. Furthermore, the features, structures, effects, etc. exemplified in each embodiment may be combined or modified and implemented in other embodiments by a person skilled in the art to which the embodiments belong. Accordingly, details regarding such combinations and modifications should be interpreted as being included within the scope of the present invention.

[0169] Furthermore, although the embodiments have been described above, this is merely illustrative and does not limit the invention. Those skilled in the art will understand that various modifications and applications not exemplified above are possible within the scope of the essential characteristics of the embodiments. In other words, each component specifically shown in the embodiments may be modified and implemented. Differences related to such modifications and applications should be interpreted as being included within the scope of the invention as defined in the appended claims. Explanation of the symbols

[0170] 100: Drainage Management System 10: Drainage gate 20: Drainage gate debris remover 30: Filming Department 40: Administrator Terminal

Claims

Claim 1 A drainage management method utilizing an artificial intelligence model, comprising: a step of collecting and preprocessing drainage facility status data from a drainage device and a camera unit; a step of determining the state of a drainage facility using the preprocessed drainage facility status data as input to the artificial intelligence model; a step of controlling the drainage device based on the result of determining the state of the drainage facility; and a step of monitoring the drainage facility based on the drainage facility status data and the drainage device control data; wherein the state of the drainage facility includes at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state. Claim 2 A drainage management method according to claim 1, wherein, in the step of collecting and preprocessing drainage facility status data from the drainage device and the imaging unit, measurement data and environmental sensor data are collected from the drainage device, and water level data and floating matter inflow data of a certain section where the drainage device is installed are collected from the imaging unit. Claim 3 A drainage management method according to claim 2, wherein, in the step of collecting and preprocessing drainage facility status data from the drainage device and the imaging unit, the time information of the collected measurement data, the environment sensor data, the water level data, and the floating matter inflow data is synchronized and normalized to preprocess as input data for the artificial intelligence model. Claim 4 A drainage management method according to claim 2, wherein in the step of determining the state of a drainage facility by using the preprocessed drainage facility state data as input to the artificial intelligence model, the artificial intelligence model analyzes the current waveform generated by the driving motor of the drainage device included in the measurement data and classifies the operating state of the driving motor of the drainage device into a normal state, an overload state, or a restrained state to determine the state of the driving motor of the drainage device. Claim 5 A drainage management method according to claim 4, wherein in the step of controlling the drainage device based on the result of determining the state of the drainage facility, if the driving motor state of the drainage device is determined to be the overload state, the driving motor of the drainage device is controlled to temporarily stop and then rotate in reverse. Claim 6 A drainage management method according to claim 4, wherein in the step of determining the state of a drainage facility by using the preprocessed drainage facility state data as input to the artificial intelligence model, the artificial intelligence model calculates a flood risk based on the water level data and the floating material inflow data to determine at least one of the floating material inflow state or the water level state. Claim 7 A drainage management method according to claim 6, wherein, in the step of controlling the drainage device based on the result of determining the state of the drainage facility, the water level data exceeds a preset threshold or the object density of the floating material exceeds a preset standard, the opening and closing and operation of the drainage device is controlled. Claim 8 A drainage management method according to claim 7, wherein the drainage device is selectively operated when the object density of the floating material exceeds a preset standard value even when the water level data is below a preset threshold. Claim 9 A computer-readable recording medium having a program stored on it for executing a method according to any one of claims 1 through 8 on a computer. Claim 10 A drainage management system utilizing an artificial intelligence model comprises: a communication unit that transmits and receives data to and from a drainage device and a camera unit; a memory in which at least one program is stored; and a processor that executes the at least one program to determine the state of a drainage facility based on the artificial intelligence model and controls the drainage device. The processor comprises: a preprocessing unit that collects and preprocesses drainage facility state data from the drainage device and the camera unit; a judgment unit that determines the state of a drainage facility using the preprocessed drainage facility state data as input to the artificial intelligence model; a control unit that controls the drainage device based on the result of determining the state of the drainage facility; and a monitoring unit that monitors the drainage facility based on the drainage facility state data and the drainage device control data. The state of the drainage facility includes at least one of the driving motor state of the drainage device, the floating material inflow state, or the water level state.

Images