Reservoir safety management system based on artificial intelligence

Abstract

The present invention relates to an AI-based reservoir safety management system for rapidly responding to climate change and water accidents using artificial intelligence and for safely managing reservoirs. To this end, the AI-based reservoir safety management system comprises a memory unit for storing water level information, precipitation information, and image information; a fire control unit for outputting fire control information through artificial intelligence learning using at least water level information; a water level monitoring unit for outputting drainage information through artificial intelligence learning using water level information and precipitation information; and an image monitoring unit for outputting identification warnings through artificial intelligence learning using at least image information.

Description

Technology Field

[0001] The present invention relates to an AI-based reservoir safety management system, and more specifically, to an AI-based reservoir safety management system that uses artificial intelligence to rapidly respond to climate change and water accidents and to safely manage reservoirs. Background Technology

[0002] The content described in this section merely provides background information regarding embodiments of the present invention and does not constitute prior art.

[0003] Generally, villages located near reservoirs face various risks, and consequently, a number of related problems continue to occur. Since reservoirs can cause flooding in surrounding areas due to overflowing or levee collapse during heavy rainfall, it is crucial for nearby residents to establish flood evacuation plans and identify evacuation routes in advance. Furthermore, if the terrain near the reservoir is steep, there is a risk of landslides; as the likelihood of landslides increases particularly during heavy rains, verifying the stability of the terrain to prevent such incidents is essential. Additionally, reservoirs play a role in regulating river water quality, making it essential to manage water pollution caused by surrounding waste and drainage.

[0004] Domestic agricultural reservoirs are systematically managed as agricultural production infrastructure through the Korea Rural Community Corporation, involving measures such as water supply and flow measurement. Among these reservoirs, small-scale facilities with a storage capacity of less than 300,000 tons, designed to secure agricultural water for cultivated land, are managed by local governments. In the case of reservoirs managed by local governments, professional management is difficult because the agricultural infrastructure manager in charge of the relevant jurisdiction handles management alongside other duties. Most reservoirs managed by local governments nationwide were constructed between the Japanese colonial period and the Saemaul Movement era, resulting in aging facilities. As small-scale agricultural water supply facilities created by the natural environment, reservoirs managed by local governments are difficult to predict drainage conditions compared to large-scale reservoirs. Furthermore, since they are often located in sparsely populated areas, the rate of human casualties is high; therefore, it is urgent to establish safety management measures to address this issue.

[0005] In the case of reservoirs managed by local governments, various water accidents occur due to factors such as inadequate access control systems, making it urgent to establish measures for safety management, including access control and the construction of rescue facilities.

[0006] Most reservoirs managed by local governments have aging infrastructure, including leakage, slope stability, spillways, and water intake facilities. Recently, there is a need to establish systematic safety management measures to ensure the safety of visitors and prevent accidents, particularly for the purpose of developing reservoirs into waterside parks, tourism, recreation, and fishing.

[0007] The aforementioned background technology is technical information that the inventor possessed or acquired during the process of deriving the embodiments of the present invention, and it cannot be considered as prior art disclosed to the general public prior to the filing of the embodiments of the present invention. Prior art literature

[0008] Republic of Korea Registered Patent Publication No. 10-2695531 (Title of Invention: Integrated Safety Management System for Disaster Prevention Reservosites, Published Sep. 03, 2024) The problem to be solved

[0009] Therefore, the objective of the present invention is to provide an AI-based reservoir safety management system that uses artificial intelligence to rapidly respond to climate change and water accidents and to safely manage reservoirs.

[0010] The technical problems that the present invention aims to solve are not limited to the technical problems described 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. means of solving the problem

[0011] To achieve the above-mentioned objectives, one aspect of the present invention comprises: a memory unit storing water level information of water contained in a reservoir, precipitation information of a management area including the reservoir, and image information of the management area; a control unit that checks the water level of the reservoir through artificial intelligence learning using at least the water level information and outputs control information for controlling at least one of a control unit, a village warning unit of a village area located downstream of the reservoir, and a management terminal that can be checked by an administrator, according to the water level of the reservoir; and a water level monitoring unit that predicts or checks the water level of the reservoir through artificial intelligence learning using the water level information and the precipitation information, and outputs drainage information for controlling at least one of the control unit, the management terminal, the village warning unit, and a spillway through which water from the reservoir is discharged, according to the water level of the reservoir. The present invention provides an AI-based reservoir safety management system characterized by including: a video monitoring unit that identifies a moving object entering or exiting the management area through artificial intelligence learning using at least the above video information, and outputs an identification warning for controlling at least one of an emergency unit provided in the management area, the management terminal, the village warning unit, and the spillway according to the moving object.

[0012] Here, the video monitoring unit is characterized by checking the water level of the reservoir through artificial intelligence learning using at least the video information, and outputting a drainage warning for controlling at least one of the management terminal, the village warning unit, and the spillway according to the water level of the reservoir.

[0013] Here, the video monitoring unit is characterized by correcting the water level of the reservoir or correcting the boundary for the identification warning through artificial intelligence learning using at least the water level information among the water level information and the precipitation information.

[0014] One aspect of the present invention provides an AI-based reservoir safety management system characterized by further comprising: a simulation unit that simulates the operation of at least one of the fire control unit, the water level monitoring unit, and the video monitoring unit through artificial intelligence learning using augmented reality or virtual reality techniques; a fault monitoring unit that determines whether equipment placed in the management area is faulty through artificial intelligence learning using information stored in the memory unit and information output through the fire control unit, the water level monitoring unit, and the video monitoring unit; and a levee monitoring unit that analyzes the risk of collapse of the levee through artificial intelligence learning using slope information of the levee provided on the downstream side of at least the reservoir, and outputs levee information for controlling at least one of the fire control unit, the water level monitoring unit, the video monitoring unit, the village warning unit, and the management terminal according to the analysis result.

[0015] Another aspect of the present invention comprises: an information collection step in which water level information of water contained in a reservoir, precipitation information of a management area including the reservoir, and image information of the management area are stored; a control control step in which the water level of the reservoir is confirmed through artificial intelligence learning using at least the water level information, and control information for controlling at least one of a control unit, a village warning unit of a village area located downstream of the reservoir, and a management terminal that can be checked by an administrator is output according to the water level of the reservoir; and a water level monitoring step in which the water level of the reservoir is predicted or confirmed through artificial intelligence learning using the water level information and the precipitation information, and drainage information for controlling at least one of the control control step, the management terminal, the village warning unit, and a spillway through which water from the reservoir is discharged according to the water level of the reservoir. The present invention provides an AI-based reservoir safety management method characterized by including: a video monitoring step of identifying a moving object entering or exiting the management area through artificial intelligence learning using at least the above video information, and outputting an identification warning for controlling at least one of an emergency unit provided in the management area, the management terminal, the village warning unit, and the spillway according to the moving object.

[0016] Here, the video monitoring step is characterized by checking the water level of the reservoir through artificial intelligence learning using at least the video information, and outputting a drainage warning for controlling at least one of the management terminal, the village warning unit, and the spillway according to the water level of the reservoir.

[0017] Here, the video monitoring step is characterized by correcting the water level of the reservoir or correcting the boundary for the identification warning through artificial intelligence learning using at least the water level information among the water level information and the precipitation information.

[0018] Another aspect of the present invention provides an AI-based reservoir safety management method characterized by further comprising at least one of: a simulation step that simulates the operation of at least one of the fire control step, the water level monitoring step, and the video monitoring step through artificial intelligence learning using augmented reality or virtual reality techniques; a fault monitoring step that determines whether equipment placed in the management area is faulty using information stored in the memory unit and information output through the fire control step, the water level monitoring step, and the video monitoring step; and a levee monitoring step that analyzes the risk of collapse of the levee through artificial intelligence learning using slope information of the levee provided on the downstream side of at least the reservoir, and outputs levee information for controlling at least one of the fire control step, the water level monitoring step, the video monitoring step, the village warning unit, and the management terminal according to the analysis result.

[0019] Another aspect of the present invention provides a computer-readable recording medium for implementing an AI-based reservoir safety management method according to the present invention.

[0020] Another aspect of the present invention provides a program stored on a computer-readable recording medium for implementing an AI-based reservoir safety management method according to the present invention. Effects of the invention

[0021] As described above, according to one embodiment of the present invention, artificial intelligence can be used to respond quickly to climate change and water accidents, and to safely manage the reservoir.

[0022] In addition, the present invention can automate the operation of a water supply unit through a water supply control unit or a water supply control stage, and facilitate the smooth supply of water to the farmland area.

[0023] In addition, the present invention can prevent overflow or flooding of water contained in a reservoir through a water level monitoring unit or a water level monitoring stage, and can quickly evacuate residents of a village area.

[0024] Furthermore, the present invention can prevent safety accidents by distinguishing people or animals entering or leaving a management area through a video surveillance unit or video surveillance stage. Additionally, it can monitor the water level of a reservoir in real time and facilitate the evacuation of residents in a village area. Moreover, it can clearly transmit identification warnings to moving objects based on the water level of the reservoir.

[0025] In addition, the present invention can educate employees operating the safety management system through a simulation unit or simulation stage and improve the operational precision of the safety management system.

[0026] In addition, the present invention can simplify the maintenance of equipment placed in a management area through a fault monitoring unit or a fault monitoring step.

[0027] In addition, the present invention can secure slope stability of the embankment and strengthen the stability of the embankment structure through an embankment monitoring unit or an embankment monitoring stage, and can support immediate response to the risk of embankment collapse, thereby enabling the rapid evacuation of residents in the village area.

[0028] Furthermore, this invention enables automatic real-time monitoring and adjustment of water levels, allowing for a rapid response to emergencies caused by natural disasters, such as days with heavy rainfall. For example, when a levee overflow is predicted due to a rapid rise in water level, the safety management system sounds an alarm, and an administrator responds immediately to evacuate residents, thereby minimizing flood damage. Additionally, it facilitates a smooth water supply and enables stable water provision and flood prevention through appropriate water level control, even during the rainy season. Moreover, it eliminates the inconvenience of monitoring and adjusting water levels through human effort and physical inspections, allowing for the efficient utilization of manpower and resources. Furthermore, by enabling prediction of changes in the reservoir's water level and preventive measures, it prevents sudden incidents and facilitates preventive management.

[0029] Furthermore, since the present invention can continuously monitor the management area, it can quickly detect people attempting to enter the water and enable emergency response by allowing the safety management system to automatically generate an alarm, thereby preventing accidents. Additionally, it can induce a rapid response from relevant agencies, such as fire departments, in areas where the safety management system is installed. Moreover, when a person attempting to enter the water is detected, the safety management system sounds an alarm, allowing for the active provision of rescue teams or social welfare services. Furthermore, the introduction of the safety management system can secure social consensus and support from residents of the village area.

[0030] In addition, the present invention can provide safety education to residents and employees, raise awareness regarding the prevention of water entry accidents, and cultivate the ability to actively respond to crisis situations.

[0031] Furthermore, the present invention enables the construction of an advanced convergence industrial city, which is being pursued with the goal of expanding the embankment capacity and safety management facilities of reservoirs and other structures and strengthening other safety specifications as part of the agricultural production infrastructure improvement project, to enhance the safety management system by linking it with the safety management system. Additionally, through the management of reservoirs, the goal of becoming a city with strong agricultural competitiveness can be achieved, and safety accidents can be prevented in advance along with the enhancement of reservoir functionality.

[0032] In addition, the present invention can prevent accidents involving human casualties and systematically manage reservoirs located in agricultural production infrastructure in rural areas, which are relatively small in size and situated in sparsely populated areas such as mountain slopes.

[0033] In addition, the present invention strengthens the control equipment of agricultural production infrastructure, introduces an entry / exit management system to prevent casualties caused by issues such as entry into management areas, safely evacuates residents by providing evacuation broadcasts and mobile phone notification services in the event of flooding, and ensures resident safety through remote control of communication units or spillways.

[0034] In addition, the present invention can provide a new safety management plan for reservoirs managed by local governments.

[0035] Furthermore, the present invention monitors overflow of spillways and embankments, enhances water storage functions within the reservoir, and prevents embankment flooding during heavy rainfall. Additionally, if an equipment failure is detected in the management area, the failure information is transmitted to the integrated safety management control center, facilitating maintenance of the equipment in the management area. Moreover, through iterative learning, failure types are accumulated in a database format, and the optimal control method for the communication unit can be suggested through analysis. Furthermore, since water level control functions are provided based on artificial intelligence and big data, proactive response to flooding situations is possible, and equipment in the management area can be automatically remotely controlled.

[0036] Furthermore, the present invention can realize the creation of a city safe from various accidents in the management area. In addition, the present invention can distinguish between animals and people entering the management area to establish appropriate safety measures and control access. Furthermore, by introducing a thermal imaging detection system capable of detection even at night, it is possible to respond proactively to emergency situations at night. Moreover, if the equipment in the management area detects a malfunction (abnormal light display, power supply abnormality, overcurrent, etc.), it can implement self-protective measures by stopping operation and cutting off the power to protect the product.

[0037] In addition, the present invention immediately transmits a notification to the manager upon the occurrence of an intruder and warns against entry into the management area through a prior alert; furthermore, if an intruder continues to attempt entry even after the warning, it immediately reports to the safety officer within the facility to ensure prompt follow-up measures are taken.

[0038] Furthermore, the present invention can prevent disasters in village or agricultural areas caused by flooding during rainfall events such as typhoons, monsoons, and torrential rains, and can verify the accuracy of water level prediction values ​​based on artificial intelligence learning and actual measured water levels. Additionally, in accordance with the purpose of introducing a safety management system, intrusion detection information can be reliably collected, and the completeness of the safety management system can be verified by measuring the accuracy of the collected information.

[0039] Furthermore, the present invention measures precipitation and water levels within a management area and enables safety management by remotely controlling a water supply unit or spillway in the event of a sudden surge in water levels through real-time monitoring using a mobile phone. Additionally, through a video monitoring unit, the disaster control room can constantly monitor entrants, broadcast announcements upon entry, and immediately supply information to the manager in the event of a person falling into the water, thereby enabling immediate response and measures for water-related accidents. Moreover, by linking with a village broadcasting unit to prevent disaster situations in the village area, it is possible to broadcast evacuation instructions in the event of reservoir flooding, thereby creating a safe village environment protected from disasters.

[0040] In addition, the present invention enhances communication security through the installation of a VPN and enables real-time monitoring, allowing for immediate response to situations.

[0041] Furthermore, the present invention enables integrated monitoring and management of information produced in real time from a safety management system. Additionally, by monitoring the operational status of intelligent information services from a central control room, it enables efficient management and secures a system capable of agile response in the event of emergencies or issues.

[0042] Furthermore, the present invention systematically collects safety information regarding reservoirs to obtain useful data, and utilizes this information to enable village areas to develop safely, free from blind spots of risk. Additionally, it can function as a strategy to partially overcome the digital divide in rural areas near reservoirs. Moreover, it can assist in flood prediction warnings and the preparation of countermeasures for various water-related accidents in village areas near reservoirs. Furthermore, it can aid in regulating the supply of agricultural water by transmitting reservoir water level information to water management officials and villagers.

[0043] Furthermore, the present invention can assist in the safety management of reservoirs and the establishment of accident countermeasures based on artificial intelligence (AI) learning data. In addition, while personnel were often directly dispatched to accident sites and exposed to danger during conventional reservoir flooding, safety accidents involving such personnel can be prevented by automating the ductwork or spillway through AI learning. Moreover, the safety management system can predict the flood risk of spillways and embankments, and allow for remote control of the ductwork or spillway through automation. Additionally, through AI learning, if the reservoir reaches a dangerous water level, the ductwork or spillway can be remotely controlled to regulate the water level, thereby providing efficient decision-making for the safety management of the reservoir.

[0044] Meanwhile, the effects of 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. Brief explanation of the drawing

[0045] FIG. 1 is a block diagram illustrating an AI-based reservoir safety management system according to one embodiment of the present invention. FIG. 2 is a schematic diagram illustrating the state in which an AI-based reservoir safety management system according to one embodiment of the present invention is placed in a management area. FIG. 3 is a configuration diagram illustrating a communication unit applied to an AI-based reservoir safety management system according to one embodiment of the present invention. FIG. 4 is a flowchart illustrating an AI-based reservoir safety management method according to one embodiment of the present invention. FIG. 5 is a flowchart illustrating the control stage of an AI-based reservoir safety management method according to an embodiment of the present invention. FIG. 6 is a flowchart illustrating the water level monitoring step of an AI-based reservoir safety management method according to one embodiment of the present invention. FIG. 7 is a flowchart illustrating the video surveillance step of an AI-based reservoir safety management method according to one embodiment of the present invention. FIG. 8 is a flowchart illustrating the embankment monitoring step of an AI-based reservoir safety management method according to one embodiment of the present invention. The drawings attached to this specification illustrate an embodiment 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; therefore, the present invention should not be interpreted as being limited only to the matters described in the drawings. Specific details for implementing the invention

[0046] The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments presented below, but can be implemented in various different forms and should be understood to include all modifications, equivalents, and substitutions that fall within the spirit and scope of the present invention. The embodiments presented below are provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention. In describing the present invention, if it is determined that a detailed description of related known technology may obscure the essence of the present invention, such detailed description may be omitted.

[0047] The terms used in this invention are used merely to describe specific embodiments and are not intended to limit the invention. The singular expression includes the plural expression unless the context clearly indicates otherwise.

[0048] In the present invention, terms such as "comprising" or "having" are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Terms such as "first," "second," etc., may be used to describe various components, but the components shall not be limited by said terms. These terms are used solely for the purpose of distinguishing one component from another.

[0049] In the specification of the present invention (particularly in the claims), the use of the term "above" and similar descriptive terms may be in both singular and plural. Furthermore, where a range is described in the present invention, it is to include an invention to which individual values ​​belonging to said range are applied (unless otherwise stated), and this is equivalent to describing each individual value constituting said range in the detailed description of the invention.

[0050] Unless explicitly stated or contrary to the order of the steps constituting the method according to the present invention, said steps may be performed in a suitable order. The present invention is not necessarily limited by the order in which said steps are described. The use of all examples or exemplary terms (e.g., etc.) in the present invention is merely for the purpose of describing the present invention in detail, and the scope of the present invention is not limited by said examples or exemplary terms unless limited by the claims. Furthermore, those skilled in the art will understand that various modifications, combinations, and changes may be made according to design conditions and factors within the scope of the claims or equivalents to which they are added.

[0051] Accordingly, the scope of the present invention should not be limited to the embodiments described above, and all scopes equivalent to or equivalently modified from the claims described below, as well as the claims described below, shall be considered to fall within the scope of the concept of the present invention.

[0052] Hereinafter, embodiments according to the present invention will be described in detail with reference to the attached drawings. In describing embodiments according to the present invention, identical or corresponding components are given the same reference numerals, and redundant descriptions thereof may be omitted.

[0053] Referring to FIGS. 1 to 3, an AI-based reservoir safety management system according to one embodiment of the present invention may include a management server (MS). The management server (MS) includes a memory unit (M), a fire control unit (1), a water level monitoring unit (2), and a video monitoring unit (3), and may further include at least one of a simulation unit (4), a fault monitoring unit (5), and a dike monitoring unit (6).

[0054] The memory unit (M) stores water level information of the water contained in the reservoir (R), precipitation information of the management area including the reservoir (R), and image information of the management area. The memory unit (M) may further store slope information of the embankment (D) provided on the downstream side of the reservoir (R). Here, the communication means (C) can receive the water level information, precipitation information, image information, and slope information through various known forms of wired or wireless communication.

[0055] Water is stored in the reservoir (R). One or more upstream river sections (UR) are connected to the upstream side of the reservoir (R), and a downstream river section (DR) is connected to the downstream side of the reservoir (R).

[0056] Around the downstream river area (DR), a village area (VA) where residents live and an agricultural area (FA) where residents cultivate land are formed. The village area (VA) is equipped with a village warning unit (VW) to provide various village information. The village warning unit (VW) may include a village terminal (VT) carried by residents and a village broadcasting unit (VB) capable of broadcasting on a village area (VA) basis.

[0057] The reservoir (R) may be equipped with a water level gauge (WL) for measuring the water level of the reservoir (R). The water level gauge (WL) measures the water level of the reservoir (R) and outputs water level information. The water level information is sorted in chronological order and stored in a memory unit (M) equipped in a management server (MS) via a communication means (C).

[0058] One or more precipitation meters (RM) for measuring precipitation around the reservoir (R) may be provided in the management area. The precipitation meters (RM) measure the precipitation around the reservoir (R) and output precipitation information. The precipitation information is sorted in chronological order and stored in a memory unit (M) provided in the management server (MS) via a communication means (C). Although the precipitation meters (RM) are depicted as being provided on the upstream river side (UR), they are not limited thereto, and it is sufficient if one or more can be provided around the reservoir (R).

[0059] A plurality of imaging units (P) for photographing the area around the reservoir may be provided in the management area. An imaging unit (P) may include at least one of a fixed imaging member that photographs a specific location and a rotating imaging member that photographs by rotating and dividing the area around the installation location. An imaging unit (P) may be equipped with a thermal imaging function to enable the photographing of a moving object even at night. In particular, an imaging unit (P) may further include a signal confirmation unit (Pa) that photographs the signal unit (10). An imaging unit (P) may photograph the area around the reservoir and output imaging information. The imaging information is sorted in chronological order according to the shooting location and stored in a memory unit (M) provided in the management server (MS) via a communication means (C). An aircraft (F) may fly in the management area. The aircraft (F) may autonomously drive within the management area under the control of the management server (MS). The aircraft (F) may photograph the management area including the reservoir (R) and generate imaging information. The aircraft (F) may be composed of a drone. The aircraft (F) can photograph the area around the reservoir and output flight information. The flight information is sorted in chronological order according to the shooting location and stored in a memory unit (M) provided in a management server (MS) via a communication means (C). Here, at least one of the shooting information and the flight information is included in the image information.

[0060] The management area may be equipped with an emergency unit (E) for displaying information transmitted from a management server (MS). The emergency unit (E) may include at least one of an emergency bell (EB) that generates a specific warning sound and an emergency speaker (ES) that transmits voice.

[0061] An embankment (D) is provided on the downstream side of the reservoir (R) to separate the reservoir (R) from the downstream river section (DR) and to retain water in the reservoir (R).

[0062] At least one of a spillway (SW) and a water supply unit (10) may be provided in the embankment (D). The spillway (SW) can perform both large-scale and small-scale water discharge, and the water supply unit (10) can perform small-scale water discharge. Although the spillway (SW) and the water supply unit (10) have been used interchangeably in the following description, if only one of them is provided, the spillway (SW) and the water supply unit (10) can be interchanged.

[0063] The spillway (SW) can discharge water from the reservoir (R) to the downstream river section (DR). The spillway (SW) includes a control section and a sloping channel, and may further include at least one of an approach channel, a dissipation channel, and a discharge channel. The control section, also referred to as the overflow section of the spillway (SW), blocks or regulates the discharge volume of water. The control section represents the portion from the end of the approach channel to the beginning of the sloping channel. Depending on the presence or absence of a sluice gate, the control section can be classified into a control type equipped with a sluice gate and a non-control type without a sluice gate. The sloping channel guides the water discharged through the control section to the downstream river section (DR). The sloping channel can generate a high-velocity flow of water. The approach channel collects water from the reservoir (R) at the downstream side of the reservoir (R). Approach channels induce a uniform flow in the spillway (SW) and can reduce the approach velocity and head loss of the spillway (SW) from the reservoir (R). In the case of an earth dam, since the spillway (SW) is installed at the berth of the dam, an approach channel is required to collect water. Dissipation channels play a role in reducing the immense energy possessed by high-velocity water through inclined channels. While dissipation channels reduce energy, there are instances where water overflows the dissipation channels due to the Hydraulic Jump phenomenon. Discharge channels prevent high-velocity water from being transmitted without energy being weakened. Discharge channels can prevent the function of dissipation channels from being weakened due to the rise in water level in the downstream river section (DR).

[0064] The water supply unit (10) is connected to the farmland area (FA) to discharge water from the reservoir (R) into the farmland area (FA). The water supply unit (10) is also connected to the downstream river area (DR) to discharge water from the reservoir (R) into the downstream river area (DR). The water supply unit (10) may include a water supply section (11), a duct section (12), an opening / closing section (13), a lifting section (14), a transmission section (15), and a controller (16). The water supply section (11) is provided on the embankment (D) so that it can be immersed in the water of the reservoir (R). The duct section (12) is connected to the water supply section (11) and allows the water delivered to the water supply section (11) to pass through the embankment (D). One or more of the pipe sections (12) may be provided to allow water from the reservoir section (R) to be transferred to at least one of the farmland area (FA) and the downstream river section (DR). The opening / closing section (13) is provided in the water supply section (11) to discharge water from the reservoir section (R) and may open / close the water supply section (11) or adjust the degree of opening of the water supply section (11). The lifting section (14) generates power for the operation of the lifting / closing section (13). The transmission section (15) connects the lifting section (14) and the lifting / closing section (13) so that the lifting / closing section (13) operates using the power generated by the lifting section (14). The controller (16) controls the operation of the lifting section (14) by means of a lifting signal. The controller (16) may receive the lifting signal by being connected to the management server (MS) via a wired or wireless connection through a communication means (C). Although not shown, the main passage (11) and the secondary passage (12) are connected via a valve member so that water flowing into the main passage (11) is transferred to one or more secondary passages (12) according to the operation of the valve member.

[0065] One or more inclinometers (CM) may be provided on the embankment (D). The inclinometers (CM) measure ground movement, ground slope, embankment (D) slope, and embankment (D) displacement, and output slope information. The inclinometers (CM) can be classified into a surface inclinometer (CM1) that measures ground movement and ground slope to output surface information, and a slope inclinometer (CM2) that measures embankment (D) slope and embankment (D) displacement to output slope information. The slope information is sorted in chronological order and stored in a memory unit (M) provided in a management server (MS) via a communication means (C). It is preferable that one or more surface inclinometers (CM1) be provided on the upper part of the embankment (D), and that one or more slope inclinometers (CM2) be provided on the slope of the embankment (D) spaced apart from the surface inclinometers (CM1).

[0066] The communication control unit (1) checks the water level of the reservoir (R) through artificial intelligence learning using at least water level information, and outputs communication information for controlling at least one of the communication unit (10), the village warning unit (VW) of the village area (VA) located downstream of the reservoir (R), and the management terminal (MT) that can be checked by an administrator, according to the water level of the reservoir (R). Since the communication information is transmitted to at least one of the communication unit (10), the village warning unit (VW), and the management terminal (MT), at least one of the communication unit (10), the village warning unit (VW), and the management terminal (MT) can be automatically controlled.

[0067] The detailed operation of the control unit (1) will be explained in more detail through the control stage (S1) described later.

[0068] The water level monitoring unit (2) can predict or confirm the water level of the reservoir (R) through artificial intelligence learning using water level information and precipitation information, and output drainage information for controlling at least one of the fire control unit (1), the management terminal (MT), the village warning unit (VW), and the spillway (SW) through which water from the reservoir (R) is discharged, depending on the water level of the reservoir (R). Since the drainage information is transmitted to at least one of the fire control unit (1), the management terminal (MT), the village warning unit (VW), and the spillway (SW), at least one of the fire control unit (1), the management terminal (MT), the village warning unit (VW), and the spillway (SW) can be automatically controlled.

[0069] The detailed operation of the water level monitoring unit (2) will be explained in more detail through the water level monitoring step (S2) described later.

[0070] The video surveillance unit (3) can identify a moving object entering or exiting the management area through artificial intelligence learning using video information, and output an identification warning for controlling at least one of the emergency unit (E), management terminal (MT), village warning unit (VW), and spillway (SW) provided in the management area according to the moving object. Since the identification information is transmitted to at least one of the emergency unit (E), management terminal (MT), village warning unit (VW), and spillway (SW), at least one of the emergency unit (E), management terminal (MT), village warning unit (VW), and spillway (SW) can be automatically controlled.

[0071] In addition, the video monitoring unit (3) can check the water level of the reservoir (R) through artificial intelligence learning using video information, and output a drainage warning for controlling at least one of the management terminal (MT), the village warning unit (VW), and the spillway (SW) according to the water level of the reservoir (R). Since the drainage warning is transmitted to at least one of the management terminal (MT), the village warning unit (VW), and the spillway (SW), at least one of the management terminal (MT), the village warning unit (VW), and the spillway (SW) can be automatically controlled.

[0072] In addition to this, the video monitoring unit (3) can correct the water level of the reservoir (R) or correct the boundary for identification warning through artificial intelligence learning using at least the water level information among the water level information and precipitation information.

[0073] The detailed operation of the video surveillance unit (3) will be explained in more detail through the video surveillance step (S3) described later.

[0074] The simulation unit (4) can simulate the operation of at least one of the control unit (1), the water level monitoring unit (2), and the video monitoring unit (3) through artificial intelligence learning using augmented reality (AR) or virtual reality (VR) techniques.

[0075] The operation of the simulation unit (4) will be explained in more detail through the simulation step (S4) described later.

[0076] The fault monitoring unit (5) can determine whether the equipment placed in the management area is faulty through artificial intelligence learning using information stored in the memory unit (M) and information output through the control unit (1), the water level monitoring unit (2), and the video monitoring unit (3). When the equipment is determined to be faulty, the fault monitoring unit (5) outputs fault information, so that maintenance of the equipment placed in the management area can be easily performed.

[0077] The operation of the fault monitoring unit (5) will be explained in more detail through the fault monitoring step (S5) described later.

[0078] The embankment monitoring unit (6) can analyze the risk of collapse of the embankment (D) through artificial intelligence learning using slope information of the embankment (D) provided on the downstream side of the reservoir (R), and output embankment information for controlling at least one of the following based on the analysis results: the fire control unit (1), the water level monitoring unit (2), the video monitoring unit (3), the simulation unit (4), the fault monitoring unit (5), the village warning unit (VW), and the management terminal (MT). Since the embankment information is transmitted to at least one of the fire control unit (1), the water level monitoring unit (2), the video monitoring unit (3), the simulation unit (4), the fault monitoring unit (5), the village warning unit (VW), and the management terminal (MT), at least one of the fire control unit (1), the water level monitoring unit (2), the video monitoring unit (3), the simulation unit (4), the fault monitoring unit (5), the village warning unit (VW), and the management terminal (MT) can be automatically controlled.

[0079] The detailed operation of the embankment monitoring unit (6) will be explained in more detail through the embankment monitoring step (S6) described later.

[0080] Referring to FIGS. 1 to 3 and FIGS. 4 to 8, an AI-based reservoir safety management method according to one embodiment of the present invention includes an information collection step (S0), a fire control step (S1), a water level monitoring step (S2), and a video monitoring step (S3), and may further include at least one of a simulation step (S4) and a fault monitoring step (S5).

[0081] In the information collection step (S0), water level information of the water contained in the reservoir (R), precipitation information of the management area including the reservoir (R), and image information of the management area are stored. In the information collection step (S0), slope information of the embankment (D) provided on the downstream side of the reservoir (R) may be further stored.

[0082] The information collection step (S0) may include a water level information collection step (S01) in which water level information is stored, a precipitation information collection step (S02) in which precipitation information is stored, and an image information collection step in which image information is stored. The image information collection step may include at least one of a shooting information collection step (S03) in which shooting information is stored, a flight information collection step (S04) in which flight information is stored, and a slope information collection step (S5) in which slope information is stored.

[0083] The control stage (S1) can check the water level of the reservoir (R) through artificial intelligence learning using at least water level information, and output control information for controlling at least one of the control unit (10), the village warning unit (VW), and the management terminal (MT) depending on whether water is discharged.

[0084] The control stage (S1) can be implemented by the operation of the control unit (1).

[0085] The control stage (S1) includes a water level comparison stage (S11) and a water supply transmission stage (S121), and may further include a village transmission stage (S112).

[0086] The water level comparison step (S11) checks the water level of the reservoir (R) through artificial intelligence learning using at least water level information. If precipitation information is additionally included in the water level comparison step (S11), changes in the water level of the reservoir (R) can be predicted. The water level information used in the water level comparison step (S11) may include the first drainage information output from the water level monitoring step (S2). Additionally, if image information is additionally included in the water level comparison step (S11), the water level of the reservoir (R) can be corrected to improve the accuracy of the water level of the reservoir (R).

[0087] In the water supply transmission step (S121), if the water level of the reservoir (R) is above the reference water level as a result of the water level comparison step (S11), water supply information for controlling the communication unit (1) can be output. The water supply information is transmitted to the controller (16) of the communication unit (10) via the communication means (C), and the hoisting unit (14) can be operated to open the communication unit (11) which is closed by the opening / closing unit (13). Additionally, the water supply information is transmitted to the management terminal (MT) via the communication means (C), and the manager can monitor the operation of the communication unit (10).

[0088] In the village transmission step (S112), if the water level of the reservoir (R) is below the reference water level as a result of the water level comparison step (S11), village information for controlling the village warning unit (VW) may be output. The village information is transmitted to at least one of the village warning unit (VW) and the management terminal (MT) via a communication means (C), and may notify the residents and managers of the village area (VA) that the water level of the reservoir (R) is very low.

[0089] The control stage (S1) may further include a water request stage (S12). The water request stage (S12) may select whether to discharge water when the water level of the reservoir (R), confirmed through the water level comparison stage (S11), is above the reference water level. The water request stage (S12) may select whether to discharge water based on instructions from the management terminal (MT). Here, if the result of the water request stage (S12) determines whether to discharge water as "water supply," the water supply transmission stage (S121) is executed. The water supply transmission stage (S121) may output water supply information based on the "water supply" determination.

[0090] The water supply control step (S1) may further include a water supply transmission step (S131). The water supply transmission step (S131) ​​is performed when, as a result of the water request step (S12), the discharge status of water is determined to be "water cut off." The water supply transmission step (S131) ​​causes water supply information to be output according to the "water cut off" determination. The water supply information is transmitted to the controller (16) of the water supply unit (10) via a communication means (C), and the lifting unit (14) is operated to close the water supply unit (11) in which the opening / closing unit (13) is open. Additionally, the water supply information is transmitted to the management terminal (MT) via a communication means (C), and the manager can monitor the operation of the water supply unit (10).

[0091] The water control stage (S1) may further include a water level comparison stage (S13). The water level comparison stage (S13) can select whether the water supply unit (11) can be opened or closed if, as a result of the water request stage (S12), the water discharge status is determined to be "water level". Here, if, as a result of the water level comparison stage (S13), the water level transmission stage (S131) ​​is performed when the water supply unit (11) can be opened or closed as "possible", the water level transmission stage (S131) ​​is performed. The water level transmission stage (S131) ​​can cause water level information to be output as the water supply unit (11) can be opened or closed as "possible".

[0092] The water control stage (S1) may further include a village warning stage (S132). The village warning stage (S132) is implemented when, as a result of the water cutoff comparison stage (S13), the possibility of opening and closing the water control unit (11) is determined to be "impossible." The village warning stage (S132) causes a village guidance warning to be output as the possibility of opening and closing the water control unit (11) is determined to be "impossible." The fact that the possibility of opening and closing the water control unit (11) is "impossible" indicates a situation where the water control unit (11) cannot be closed while water is being discharged through the water control unit (10). The village guidance warning is transmitted to the village warning unit (VW) via a communication means (C), and can induce residents of the village area (VA) to prevent flooding of the irrigation canal in the farmland area (FA). In addition, the village guidance warning is transmitted to the management terminal (MT) via the communication means (C), and can induce the manager to maintain the communication unit (10) or prevent flooding of the irrigation waterway in the farmland area (FA).

[0093] The water level monitoring stage (S2) can predict or confirm the water level of the reservoir (R) through artificial intelligence learning using water level information and precipitation information, and output drainage information for controlling at least one of the water control stage (S1), the management terminal (MT), the village warning unit (VW), and the spillway (SW) through which water from the reservoir (R) is discharged, depending on the water level of the reservoir (R).

[0094] The water level monitoring step (S2) can be implemented by the operation of the water level monitoring unit (2).

[0095] The water level monitoring step (S2) may include a water level analysis step (S21), a first information transmission step (S211), a second information transmission step (S212), and a third information transmission step (S213).

[0096] The water level analysis step (S21) predicts or confirms the water level of the reservoir (R) through artificial intelligence learning using water level information and precipitation information.

[0097] The first information transmission step (S211) causes the first drainage information to be output from the water level monitoring unit (2) when, as a result of the water level analysis step (S21), the water level of the reservoir (R) is "appropriate". The first drainage information is transmitted to the fire control unit (1) and utilized in the fire control step (S1).

[0098] The second information transmission step (S212) causes the second drainage information to be output from the water level monitoring unit (2) when, as a result of the water level analysis step (S21), the water level of the reservoir (R) is "warning". The second drainage information is transmitted to at least one of the village warning unit (VW) and the management terminal (MT) via a communication means (C), and notifies the residents and manager of the village area (VA) that the reservoir (R) may overflow, and can induce the evacuation of residents of the village area (VA).

[0099] The third information transmission step (S213) causes the third drainage information to be output from the water level monitoring unit (2) when, as a result of the water level analysis step (S21), the water level of the reservoir (R) is "dangerous." The third drainage information is transmitted to the spillway (SW) via the communication means (C), and the spillway (SW) can be opened or the opening of the spillway (SW) can be adjusted according to the flood risk of the reservoir (R). Additionally, the third drainage information is transmitted to the management terminal (MT) via the communication means (C), and the opening of the spillway (SW) or the adjustment of the opening of the spillway (SW) can be induced according to the flood risk of the reservoir (R), and the evacuation of residents in the village area (VA) can be induced. In addition, the third drainage information is transmitted to the village warning unit (VW) via a communication means (C), and can induce the evacuation of residents in the village area (VA) according to the flood risk of the reservoir (R).

[0100] A water level of the reservoir (R) being "dangerous" means that the water level of the reservoir (R) exceeds the danger level, a water level of the reservoir (R) being "warning" means that the water level of the reservoir (R) is below the danger level and exceeds the appropriate level, and a water level of the reservoir (R) being "appropriate" means that the water level of the reservoir (R) is below the appropriate level.

[0101] The video surveillance step (S3) can identify a moving object entering or exiting the management area through artificial intelligence learning using video information, and output an identification warning for controlling at least one of the emergency unit (E), management terminal (MT), village warning unit (VW), and spillway (SW) provided in the management area according to the moving object.

[0102] In addition, the video monitoring step (S3) can check the water level of the reservoir (R) through artificial intelligence learning using video information, and output a drainage warning for controlling at least one of the management terminal (MT), the village warning unit (VW), and the spillway (SW) according to the water level of the reservoir (R).

[0103] In addition to this, the video monitoring step (S3) can correct the water level of the reservoir (R) or correct the boundary for identification warning through artificial intelligence learning using at least the water level information among the water level information and precipitation information.

[0104] The video monitoring step (S3) can be implemented by the operation of the video monitoring unit (3).

[0105] The video surveillance step (S3) includes an identification step (S31) and an entry warning transmission step (S331), and may further include a drowning analysis step (S33), an approach warning transmission step (S332), and a drowning warning transmission step (S333).

[0106] The identification step (S31) identifies moving objects entering and exiting the management area through artificial intelligence learning using image information. Moving objects can be classified into people and animals entering the management area. Animals may include means of transportation such as cars, bicycles, and motorcycles, as well as moving objects other than people. If there are no moving objects in the image information, the boundary between the reservoir (R) and the land area can be derived.

[0107] The entry warning transmission step (S331) causes an entry warning to be output from the video surveillance unit (3) if, as a result of the identification step (S31), the moving object is a person. The entry warning is transmitted to the emergency unit (E) via the communication means (C), and can broadcast an entry warning to a person who has entered the management area. Additionally, the entry warning is transmitted to the management terminal (MT) via the communication means (C), and can induce the manager to monitor the management area and control the emergency unit (E) by operating the management terminal (MT).

[0108] The drowning analysis step (S33) analyzes the location of a person who has entered the management area if, as a result of the identification step (S31), the moving object is a person. At this time, the management area is configured with an entry boundary that controls the entry of people based on the reservoir (R), an access boundary that controls access to the reservoir (R) spaced apart from the entry boundary, and a drowning boundary that controls drowning accidents to the reservoir (R) spaced apart from the access boundary. The drowning boundary can be adjusted according to the water level of the reservoir (R). Here, the entry warning transmission step (S331) is executed if, as a result of the drowning analysis step (S33), a person who has entered the management area crosses the entry boundary.

[0109] The access warning transmission step (S332) causes the video surveillance unit (3) to output an access warning when, as a result of the drowning analysis step (S33), a person who has entered the management area crosses the access boundary. The access warning is transmitted to the emergency unit (E) via the communication means (C), and can broadcast an access warning to the person who has entered the management area. Additionally, the access warning is transmitted to the management terminal (MT) via the communication means (C), and can induce the manager to monitor the management area and control the emergency unit (E) by operating the management terminal (MT). Additionally, it can induce the manager to take action against unauthorized intrusion.

[0110] The drowning warning transmission step (S333) causes the video monitoring unit (3) to output a drowning warning if, as a result of the drowning analysis step (S33), a person who has entered the management area crosses the drowning boundary. The drowning warning is transmitted to the emergency unit (E) via the communication means (C), and can broadcast a drowning warning to the person who has entered the management area. Additionally, the drowning warning is transmitted to the management terminal (MT) via the communication means (C), and can induce the manager to monitor the management area and control the emergency unit (E) by operating the management terminal (MT). Additionally, it can induce the manager to respond to a drowning accident report.

[0111] The video surveillance step (S3) may further include an extermination warning transmission step (S311). The extermination warning transmission step (S311) causes an extermination warning to be output from the video surveillance unit (3) if, as a result of the identification step (S31), the moving object is an animal. The extermination warning is transmitted to the emergency unit (E) via the communication means (C), and can broadcast an extermination warning to the animal that has entered the management area. Additionally, the extermination warning is transmitted to the management terminal (MT) via the communication means (C), and can induce the manager to monitor the management area and control the emergency unit (E) by operating the management terminal (MT).

[0112] The video monitoring step (S3) may further include a flood analysis step (S35), a danger warning transmission step (S351), and a flood warning transmission step (S352).

[0113] The flood analysis step (S35) checks the water level of the reservoir (R) through artificial intelligence learning using at least image information. In the flood analysis step (S35), if there are no moving objects in the image information, the water level of the reservoir (R) can be checked by analyzing the boundary between the reservoir (R) and the land area. As a result of the flood analysis step (S35), if the water level of the reservoir (R) is "appropriate," appropriate information is output from the image monitoring unit (3). The appropriate information is transmitted to the fire control unit (1) and utilized in the fire control stage (S1).

[0114] The danger warning transmission step (S351) causes a danger warning to be output from the video monitoring unit (3) when, as a result of the flood analysis step (S35), the water level of the reservoir (R) is "warning". The danger warning is transmitted to at least one of the village warning unit (VW) and the management terminal (MT) via a communication means (C), and notifies the residents and managers of the village area (VA) that the reservoir (R) may flood, and can induce the evacuation of residents of the village area (VA).

[0115] The flood warning transmission step (S352) causes a flood warning to be output from the video monitoring unit (3) when, as a result of the flood analysis step (S35), the water level of the reservoir (R) is "dangerous." The flood warning is transmitted to the spillway (SW) via the communication means (C), and the spillway (SW) can be opened or the opening of the spillway (SW) can be adjusted according to the flood risk of the reservoir (R). Additionally, the flood warning is transmitted to the management terminal (MT) via the communication means (C), and the opening of the spillway (SW) or the adjustment of the opening of the spillway (SW) can be induced according to the flood risk of the reservoir (R), and the evacuation of residents in the village area (VA) can be induced. Additionally, the flood warning is transmitted to the village warning unit (VW) via the communication means (C), and the evacuation of residents in the village area (VA) can be induced according to the flood risk of the reservoir (R).

[0116] Although not explicitly stated, the video surveillance step (S3) may further include a water level determination step. The water level determination step can correct the water level of the reservoir (R) or correct the boundary for identification warnings through artificial intelligence learning using at least the water level information among the water level information and precipitation information. The water level determination step is performed prior to the drowning analysis step (S33).

[0117] Although not explicitly stated, the video surveillance stage (S3) may further include a water level correction stage. The water level correction stage can correct the water level of the reservoir (R) through artificial intelligence learning using at least the water level information among the water level information and precipitation information. The water level correction stage is performed prior to the flood analysis stage (S35).

[0118] The simulation step (S4) simulates the operation of at least one of the fire control step (S1), the water level monitoring step (S2), and the video monitoring step (S3) through artificial intelligence learning using augmented reality or virtual reality techniques.

[0119] The simulation step (S4) can be implemented by the operation of the simulation unit (4).

[0120] The fault monitoring step (S5) determines whether the equipment placed in the management area is faulty by using the information stored in the memory unit (M) and the information output through the fire control step (S1), the water level monitoring step (S2), and the video monitoring step (S3). If the equipment is determined to be faulty, the fault monitoring step (S5) outputs fault information, thereby making it easier to maintain the equipment placed in the management area.

[0121] The fault monitoring step (S5) can be implemented by the operation of the fault monitoring unit (5).

[0122] The embankment monitoring stage (S6) analyzes the risk of collapse of the embankment (D) through artificial intelligence learning using slope information of the embankment (D) provided on the downstream side of the reservoir (R), and according to the analysis result, outputs embankment information for controlling at least one of the fire control stage (S1), water level monitoring stage (S2), video monitoring stage (S3), simulation stage (S4), fault monitoring stage (S5), village warning unit (VW), and management terminal (MT).

[0123] The embankment monitoring stage (S6) can be implemented by the operation of the embankment monitoring unit (6).

[0124] The levee monitoring stage (S6) may include a slope analysis stage (S61), a safety transmission stage (S611), an evacuation transmission stage (S612), and a collapse transmission stage (S613).

[0125] The slope analysis step (S61) can analyze the risk of collapse of the embankment (D) through artificial intelligence learning using at least the slope information of the embankment (D). If water level information is additionally included in the slope analysis step (S61), the correlation between the water level of the reservoir (R) and the risk of collapse of the embankment (D) can be predicted. If precipitation information is additionally included in the slope analysis step (S61), the correlation between the amount of precipitation and the risk of collapse of the embankment (D) can be predicted.

[0126] The safety transmission step (S611) ensures that safety information is output from the embankment monitoring unit (6) when, as a result of the slope analysis step (S61), the risk of collapse of the embankment (D) is "appropriate." The safety information is transmitted to the fire control unit (1), the water level monitoring unit (2), the video monitoring unit (3), the simulation unit (4), and the fixed monitoring unit (5), and is utilized in the fire control step (S1), the water level monitoring step (S2), the video monitoring step (S3), the simulation step (S4), and the fault monitoring step (S5). Additionally, the safety information is transmitted to the management terminal (MT) via a communication means (C), allowing the manager to monitor the status of the embankment (D).

[0127] The evacuation transmission step (S612) causes evacuation information to be output from the levee monitoring unit (6) when, as a result of the slope analysis step (S61), the risk of collapse of the levee (D) is "warning." The evacuation information is transmitted to at least one of the village warning unit (VW) and the management terminal (MT) via a communication means (C), and the residents and manager of the village area (VA) are notified that the levee (D) may collapse, thereby inducing the evacuation of residents in the village area (VA).

[0128] The collapse transmission step (S613) causes collapse information to be output from the levee monitoring unit (6) when, as a result of the slope analysis step (S61), the risk of collapse of the levee (D) is "dangerous." The collapse information is transmitted to the village warning unit (VW) via the communication means (C), and can promptly induce the evacuation of residents in the village area (VA) according to the risk of collapse of the levee (D). Additionally, the collapse information is transmitted to the management terminal (MT) via the communication means (C), and can prompt the manager to take measures to prevent safety accidents according to the risk of collapse of the levee (D).

[0129] The risk of collapse of the embankment (D) being "dangerous" means that the slope of the embankment (D), the displacement of the embankment (D), the movement of the ground, the slope of the ground, etc. change within the danger time or are greater than the danger change amount, and the risk of collapse of the embankment (D) being "warning" means that the slope of the embankment (D), the displacement of the embankment (D), the movement of the ground, the slope of the ground, etc. change within the warning time or are greater than the danger time and are less than the warning change amount, and the risk of collapse of the embankment (D) being "appropriate" means that the slope of the embankment (D), the displacement of the embankment (D), the movement of the ground, the slope of the ground, etc. change beyond the warning time or are greater than the warning change amount.

[0130] An AI-based reservoir safety management method according to one embodiment of the present invention may be recorded on various computer-readable recording media. The aforementioned recording media may include program instructions, data files, data structures, etc., either individually or in combination. The aforementioned recording media may include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute programs, such as ROM, RAM, and flash memory. The aforementioned hardware devices may be configured to operate as one or more software modules to perform the operation of the present invention, and vice versa.

[0131] An AI-based reservoir safety management method according to one embodiment of the present invention can be executed with a program stored on the aforementioned recording medium. Such a program may also be implemented in the form of an application. Meanwhile, the aforementioned program may be specially designed and configured for the present invention or may be known and available to those skilled in the art of computer software. The aforementioned program may include not only machine code, such as that generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter, etc.

[0132] Therefore, as described above, artificial intelligence can be used to respond quickly to climate change and water accidents, and to safely manage the reservoir (R).

[0133] In addition, the operation of the water supply unit (10) can be automated through the water supply control unit (1) or the water supply control stage (S1), and the supply of water to the farmland area (FA) can be made smooth.

[0134] In addition, through the water level monitoring unit (2) or the water level monitoring stage (S2), the overflow or flooding of water contained in the reservoir (R) can be prevented, and residents of the village area (VA) can be evacuated quickly.

[0135] In addition, safety accidents can be prevented by distinguishing people or animals entering or leaving the management area through the video surveillance unit (3) or the video surveillance stage (S3). In addition, the water level of the reservoir (R) can be monitored in real time, and the evacuation of residents in the village area (VA) can be facilitated. Furthermore, an identification warning can be clearly conveyed to moving objects according to the water level of the reservoir (R).

[0136] In addition, through the simulation section (4) or simulation stage (S4), employees operating the safety management system can be trained, and the operational precision of the safety management system can be improved.

[0137] In addition, maintenance of equipment placed in the management area can be easily performed through the fault monitoring unit (5) or the fault monitoring stage (S5).

[0138] In addition, the slope stability of the embankment (D) can be secured through the embankment monitoring unit (6) or the embankment monitoring stage (S6), the stability of the embankment (D) structure can be strengthened, and immediate response can be supported in response to the risk of collapse of the embankment (D) so that residents of the village area (VA) can be evacuated quickly.

[0139] Furthermore, through the present invention, it is possible to automatically monitor and adjust water levels in real time, and to respond quickly to emergency situations caused by natural disasters, such as days with heavy rainfall. For example, when an overflow of the embankment (D) is predicted due to a rapid rise in water level, the safety management system sounds an alarm, and the manager responds immediately to evacuate residents, thereby minimizing flood damage. In addition, it facilitates the smooth supply of water and enables the prevention of flood damage and the stable supply of water through appropriate water level control even during the rainy season. Moreover, it eliminates the inconvenience of monitoring and adjusting water levels through human effort and physical inspection, allowing for the efficient utilization of manpower and resources. Furthermore, it enables the prediction of changes in the water level of the reservoir (R) and preventive measures, thereby preventing sudden incidents and performing preventive management.

[0140] Furthermore, since the management area can be continuously monitored, people attempting to enter the water can be quickly detected, and the safety management system can automatically trigger an alarm to enable emergency response, thereby preventing accidents. Additionally, the installation of the safety management system can induce a rapid response from relevant agencies, such as fire departments. Moreover, when a person attempting to enter the water is detected, the safety management system sounds an alarm, allowing for the active provision of rescue teams or social welfare services. Furthermore, the introduction of the safety management system can secure social consensus and support from residents of the Village Area (VA).

[0141] In addition, it is possible to conduct safety training for residents and employees, raise awareness regarding the prevention of water entry accidents, and cultivate the ability to actively respond to crisis situations.

[0142] Furthermore, the Advanced Convergence Industrial City construction project, which is being pursued with the goal of expanding the embankment (D) capacity of facilities such as reservoirs (R), expanding safety management facilities, and strengthening other safety specifications as part of the agricultural production infrastructure improvement project, can strengthen the safety management system by linking it with the safety management system. In addition, through the management of reservoirs (R), the goal of becoming a city with strong agricultural competitiveness can be achieved, and safety accidents can be prevented in advance along with the enhancement of the functionality of reservoirs (R).

[0143] In addition, it is possible to prevent accidents involving human casualties and systematically manage reservoirs (R) located in agricultural production infrastructure in rural areas, which are relatively small in size and situated in sparsely populated areas such as mountain slopes.

[0144] In addition, the control equipment of agricultural production infrastructure can be strengthened, an entry / exit management system can be introduced to prevent accidents involving human casualties due to issues such as entry into and exit of the management area, and residents can be safely evacuated by providing evacuation broadcasts and mobile phone notification services in case of flooding, and residents' safety can be guaranteed through remote control of the communication unit (10) or spillway (SW).

[0145] In addition, new safety management measures can be established for reservoirs (R) managed by local governments.

[0146] In addition, it is possible to monitor the overflow of the spillway (SW) and the embankment (D), enhance the water storage function within the reservoir (R), and prevent flooding of the reservoir (R) and embankment (D) during heavy rainfall. Furthermore, if an equipment failure is detected in the management area, the failure information can be transmitted to the safety management integrated control center to facilitate maintenance of the equipment in the management area. Additionally, failure types can be accumulated in a DB format through iterative learning, and an optimal control method for the communication unit (10) can be suggested through analysis. Moreover, since the water level control function is provided based on artificial intelligence and big data, active response is possible in the event of a flood, and the equipment in the management area can be automatically remotely controlled.

[0147] Furthermore, it is possible to realize the creation of a safe city free from various accidents within the management area. Additionally, it is possible to distinguish between animals and people entering the management area to establish appropriate safety measures and control access. Moreover, by introducing a thermal imaging detection system capable of detection even at night, it is possible to respond proactively to nighttime emergencies. Furthermore, equipment within the management area can implement self-protective measures to stop operation and cut off power if a malfunction is detected (such as abnormal light display, power supply abnormalities, or overcurrent).

[0148] In addition, upon the occurrence of an intruder, a notification is immediately sent to the manager to warn against entering the managed area through a preliminary alert; furthermore, if entry attempts continue even after the warning, it is immediately reported to the safety officer within the jurisdiction to ensure prompt follow-up measures are taken.

[0149] Furthermore, it is possible to prevent disasters in village areas (VA) or farmland areas (FA) caused by flooding during rainfall events such as typhoons, monsoons, and torrential downpours, and to verify the accuracy of water level predictions based on artificial intelligence learning versus actual measured water levels. Additionally, in accordance with the purpose of introducing the safety management system, intrusion detection information can be reliably collected, and the completeness of the safety management system can be verified by measuring the accuracy of the collected information.

[0150] In addition, the amount of precipitation and water level in the management area can be measured, and safety management can be implemented by remotely controlling the communication unit (10) or the spillway (SW) in the event of a sudden surge in water level through real-time monitoring using a mobile phone. Furthermore, through the video monitoring unit (3), the disaster situation room can constantly monitor entrants and broadcast announcements upon entry, and immediately supply information to the manager in the event of a person falling into the water, thereby enabling immediate response and measures for water accidents. Additionally, by linking with the village broadcasting unit (VB) for preventing disaster situations in the village area (VA), evacuation broadcasts can be made in the event of flooding in the reservoir (R), and a safe village environment can be created from disaster situations.

[0151] In addition, installing a VPN enhances communication security and enables real-time monitoring, allowing for immediate response to situations.

[0152] Furthermore, information generated in real-time by the safety management system can be integratedly monitored and managed. In addition, monitoring the operational status of intelligent information services from the central control room enables efficient management and secures a system for agile response in the event of emergencies or issues.

[0153] Furthermore, by systematically collecting safety information from the reservoir (R) to obtain useful data, this enables the village area (VA) to develop safely and avoid blind spots of risk. It can also function as a strategy to partially bridge the digital divide in rural areas near the reservoir (R). Additionally, it can assist in flood prediction warnings and the development of countermeasures for various water-related accidents in the village area (VA) near the reservoir (R). Moreover, it can aid in regulating the supply of agricultural water by transmitting reservoir (R) water level information to water management personnel and villagers.

[0154] Furthermore, based on artificial intelligence learning data, it can assist in safety management and accident countermeasures for the reservoir (R). In addition, while personnel in charge were often directly dispatched to the accident site and exposed to danger in the event of a flood in the conventional reservoir (R), safety accidents involving personnel can be prevented by automating the ductwork unit (10) or spillway (SW) through artificial intelligence learning. Furthermore, the safety management system can predict the flood risk of the spillway (SW) and the embankment (D), and the ductwork unit (10) or spillway (SW) can be automated and controlled remotely. Additionally, through artificial intelligence learning, if the reservoir (R) reaches a dangerous water level, the ductwork unit (10) or spillway (SW) can be remotely controlled to regulate the water level, thereby providing efficient decision-making for the safety management of the reservoir (R). Explanation of the symbols

[0155] R: Reservoir D: Embankment SW: Yeosu-ro P: Filming Department Pa: Communication Confirmation Department WL: Water level gauge FA: Farmland Area VA: Village Area VW: Village Warning Department VT: Village Terminal VB: Village Broadcasting Club MT: Management terminal UR: Upstream river section DR: Downstream river section RM: River System E: Emergency Department EB: Emergency bell ES: Emergency Speaker CM: Inclinometer CM1: Inclinometer CM2: Inclinometer F: Aircraft C: Means of communication MS: Management Server M: Memory section 1: Traffic Control Unit 2: Water Level Monitoring Department 3: Video Surveillance Department 4: Simulation Section 5: Fault Monitoring Unit 6: Embankment Monitoring Department 10: Communications unit 11: Communications Department 12: Abdominal pain area 13: Opening / closing part 14: Kwon Yang-bu 15: Delivery Unit 16: Controller S0: Information gathering stage S01: Water level information collection stage S02: Precipitation Information Collection Stage S03: Filming Information Collection Stage S04: Flight Information Collection Phase S05: Slope information collection stage S1: Communication control stage S11: Water level comparison stage S112: Village Transmission Stage S12: Water Request Stage S121: Water supply transmission stage S13: Single comparison step S131: Single transmission stage S132: Village Warning Level S2: Water level monitoring stage S21: Water level analysis stage S211: First information transmission stage S212: Second information transmission stage S213: Third information transmission stage S3: Video surveillance stage S31: Identification step S311: Eradication Warning Transmission Stage S33: Drowning Analysis Stage S331: Entry warning transmission stage S332: Access warning transmission stage S333: Drowning Warning Transmission Step S35: Flood Analysis Stage S351: Risk warning transmission stage S352: Flood warning transmission stage S4: Simulation stage S5: Fault monitoring stage S6: Embankment monitoring stage S61: Slope analysis step S611: Safe transmission stage S612: Evacuation transmission phase S613: Collapse Transmission Phase

Claims

Claim 1 A memory unit storing water level information of water contained in a reservoir, precipitation information of a management area including the reservoir, and image information of the management area; a control unit that checks the water level of the reservoir through artificial intelligence learning using at least the water level information, and outputs control information for controlling at least one of a control unit, a village warning unit of a village area located downstream of the reservoir, and a management terminal that can be checked by an administrator, according to the water level of the reservoir; a water level monitoring unit that predicts or checks the water level of the reservoir through artificial intelligence learning using the water level information and the precipitation information, and outputs drainage information for controlling at least one of the control unit, the management terminal, the village warning unit, and a spillway through which water from the reservoir is discharged, according to the water level of the reservoir. An AI-based reservoir safety management system characterized by comprising: a video surveillance unit that identifies a moving object entering or exiting the management area through artificial intelligence learning using at least the above video information, and outputs an identification warning for controlling at least one of an emergency unit provided in the management area, the management terminal, the village warning unit, and the spillway according to the moving object. Claim 2 An AI-based reservoir safety management system according to claim 1, wherein the video monitoring unit checks the water level of the reservoir through artificial intelligence learning using at least the video information, and outputs a drainage warning for controlling at least one of the management terminal, the village warning unit, and the spillway according to the water level of the reservoir. Claim 3 In paragraph 2, the AI-based reservoir safety management system is characterized in that the video monitoring unit corrects the water level of the reservoir or corrects the boundary for the identification warning through artificial intelligence learning using at least the water level information among the water level information and the precipitation information. Claim 4 An AI-based reservoir safety management system according to claim 1, further comprising: a simulation unit that simulates the operation of at least one of the fire control unit, the water level monitoring unit, and the video monitoring unit through artificial intelligence learning using augmented reality or virtual reality techniques; a fault monitoring unit that determines whether equipment placed in the management area is faulty through artificial intelligence learning using information stored in the memory unit and information output through the fire control unit, the water level monitoring unit, and the video monitoring unit; and a levee monitoring unit that analyzes the risk of collapse of the levee through artificial intelligence learning using slope information of the levee provided on the downstream side of the reservoir, and outputs levee information for controlling at least one of the fire control unit, the water level monitoring unit, the video monitoring unit, the village warning unit, and the management terminal according to the analysis result. Claim 5 An information collection step in which water level information of water contained in a reservoir, precipitation information of a management area including the reservoir, and image information of the management area are stored; a control control step in which the water level of the reservoir is confirmed through artificial intelligence learning using at least the water level information, and control information for controlling at least one of a control unit, a village warning unit of a village area located downstream of the reservoir, and a management terminal that can be checked by an administrator is output according to the water level of the reservoir; and a water level monitoring step in which the water level of the reservoir is predicted or confirmed through artificial intelligence learning using the water level information and the precipitation information, and drainage information for controlling at least one of the control control step, the management terminal, the village warning unit, and the spillway through which water from the reservoir is discharged is output according to the water level of the reservoir. AI-based reservoir safety management method characterized by including: a video monitoring step of identifying a moving object entering or exiting the management area through artificial intelligence learning using at least the above video information, and outputting an identification warning for controlling at least one of an emergency unit provided in the management area, the management terminal, the village warning unit, and the spillway according to the moving object. Claim 6 In claim 5, the above video monitoring step is characterized by confirming the water level of the reservoir through artificial intelligence learning using at least the above video information, and outputting a drainage warning for controlling at least one of the management terminal, the village warning unit, and the spillway according to the water level of the reservoir. Claim 7 In claim 5, the above video monitoring step is characterized by correcting the water level of the reservoir or correcting the boundary for the identification warning through artificial intelligence learning using at least the water level information among the water level information and the precipitation information. Claim 8 In claim 5, the AI-based reservoir safety management method further comprises at least one of: a simulation step for simulating the operation of at least one of the above-mentioned fire control step, the above-mentioned water level monitoring step, and the above-mentioned video monitoring step through artificial intelligence learning using augmented reality or virtual reality techniques; a fault monitoring step for determining whether equipment placed in the above-mentioned management area is faulty using information stored in the above-mentioned memory unit and information output through the above-mentioned fire control step, the above-mentioned water level monitoring step, and the above-mentioned video monitoring step; and a levee monitoring step for analyzing the risk of collapse of the above-mentioned levee through artificial intelligence learning using slope information of the levee provided on the downstream side of the above-mentioned reservoir, and outputting levee information for controlling at least one of the above-mentioned fire control step, the above-mentioned water level monitoring step, the above-mentioned video monitoring step, the above-mentioned village warning unit, and the above-mentioned management terminal according to the analysis result. Claim 9 A computer-readable recording medium for executing the method described in any one of paragraphs 5 through 8. Claim 10 A program stored on a recording medium as described in Paragraph 9.

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