KR-20260062827-A - CUSTOMIZED FLOOD PREDICTION AND WARNING SYSTEM USING SMART POLE AND VIRTUAL SENSOR DATA

KR20260062827AKR 20260062827 AKR20260062827 AKR 20260062827AKR-20260062827-A

Abstract

A customized flood warning system using smart pole and virtual sensor data according to an embodiment of the present invention is characterized by comprising: a data collection unit that receives measurement data including water level and rainfall from a plurality of smart poles; a data processing unit that corrects missing values or outliers in the received measurement data; a water level prediction unit that predicts a river water level by combining the actual measured water level of the smart pole and the predicted water level of the virtual sensor, wherein the virtual sensor generates a predicted water level for one or more prediction points where no physical sensor is installed using the corrected measurement data; and a warning unit that generates a warning when it is determined that the predicted river water level will exceed a preset reference water level.

Inventors

김성모
신희일
권태준

Assignees

(주)코아텍

Dates

Publication Date: 20260507
Application Date: 20250915
Priority Date: 20241029

Claims (12)

A data collection unit that receives measurement data including water level and rainfall from a plurality of smart poles; A data processing unit that corrects missing values or outliers in the received measurement data; A water level prediction unit comprising a virtual sensor that generates a predicted water level for one or more prediction points where physical sensors are not installed using the above-mentioned corrected measurement data, and predicts a river water level by combining the actual measured water level of the smart pole and the predicted water level of the virtual sensor; and An early warning unit that generates an alarm when it is determined that the predicted river water level will exceed a pre-set standard water level; A customized flood warning system using smart pole and virtual sensor data, including
In paragraph 1, The above data processing unit is, If missing measurements occur in the measurement data due to a communication failure, the data for the missing section is re-requested from the smart pole to be updated when communication is normalized, and A flood warning system characterized by correcting an outlier using linear interpolation when measurement data deviates from a preset range and is determined to be an outlier.
In paragraph 1, The above-mentioned water level prediction unit is, A flood warning system characterized by generating the predicted water level by inputting time-series data collected from multiple smart poles located around the above-mentioned prediction point into an AI model.
In paragraph 3, The above-mentioned water level prediction unit is, A flood warning system characterized in that, if a dam is located upstream of the prediction point, the water level prediction unit additionally includes discharge data of the dam in the time series data and inputs it into the AI model.
In paragraph 3, The above-mentioned water level prediction unit is, A flood warning system characterized by varying the combination of surrounding smart poles input into the AI model depending on whether the topographical characteristics of the above-mentioned prediction point correspond to a confluence, a curved section, or a straight section.
In paragraph 3, The above-mentioned water level prediction unit is, A flood warning system characterized by using a high-level prediction AI model when the current water level of a smart pole around the prediction point is above a preset threshold water level, and using a low-level prediction AI model when the current water level is below the threshold water level to generate the predicted water level.
In paragraph 1, A verification virtual sensor created separately from the virtual sensor at the prediction point at a verification point where an actual sensor of any one of the smart poles is installed; and A virtual sensor verification unit that generates a verification prediction level, which is a predicted value of the virtual sensor for verification, using measurement data from other smart poles around the verification point, and calculates a verification error by comparing the verification prediction level with the actual level measured by the actual sensor; A flood warning system characterized by further including
In Paragraph 7, The above-mentioned water level prediction unit is, A flood warning system characterized by correcting the predicted water level generated by the virtual sensor at the prediction point using the verification error calculated by the virtual sensor verification unit.
In paragraph 8, The virtual sensor verification unit mentioned above is, Determine the similarity of the hydrological or topographical characteristics of the above prediction point and the above verification point, and Based on the above similarity, a correction coefficient is generated by applying weights to the above verification error, and A flood warning system characterized by the above-mentioned water level prediction unit correcting the predicted water level using the above-mentioned correction coefficient.
In paragraph 1, The above early warning unit, A flood warning and alert system characterized by setting 'advisory' and 'alert' standard water levels for each point based on past measurement data and planned flood level information of each smart pole point.
In Paragraph 10, The above early warning unit, A flood warning system characterized by calculating a future expected water level based on the slope of a water level curve representing the current water level and the amount of change in water level over a past period of time (60 minutes), and generating an alarm by comparing the expected water level with the reference water level.
In paragraph 1, The above early warning unit, A flood warning system characterized by transmitting a notification message to a pre-registered administrator's terminal, including the location of occurrence, time of occurrence, current water level, expected time of arrival, expected water level of arrival, and warning grade, when a warning occurs.

Description

Customized Flood Prediction and Warning System Using Smart Pole and Virtual Sensor Data The present invention relates to a technology for predicting and warning of flood risks in rivers, and more specifically, to a system that integrates and analyzes real-time data collected from Internet of Things (IoT) sensors such as Smart Poles and AI-based virtual sensor data, and additionally utilizes upstream dam discharge information as needed to provide flood warnings by reflecting the characteristics of each river point. Recently, due to the impact of climate change, abnormal weather phenomena such as localized torrential rains are occurring frequently, and the resulting sudden rise in river levels and flood damage are emerging as significant social issues. To address this, flood control centers have long operated a system to install observation stations at key points along rivers, monitor water level data, and issue flood advisories. Recently, with the advancement of Internet of Things (IoT) technology, intelligent monitoring equipment such as 'Smart Poles' that collect various environmental data, including water levels, rainfall, temperature, and humidity in remote areas in real time at one-minute intervals, is being introduced. Smart Poles transmit the collected data to a central IoT platform via a communication network, and this data is utilized as important basic data for flood prediction and decision support systems. However, these conventional smart pole-based monitoring systems have the following clear limitations. First is the issue of data reliability. Since smart poles are installed and operated in remote locations, they are susceptible to communication failures or defects in the equipment itself. This can lead to "missing data" situations where no data is received, or "outliers" where abnormal values deviate from surrounding data are measured due to sensor errors. If such low-quality data is used directly in flood prediction models, the accuracy of the predictions can be severely degraded. Second, there is a limitation in the monitoring range. Realistically, installing expensive smart poles densely along every section of a river entails a significant financial and management burden. Consequently, numerous unmeasured points without sensors remain blind spots in monitoring, making it difficult to identify localized water level changes or dangerous situations in those sections. Third, there is the issue of the uniformity of prediction methods. Rivers have different characteristics in their upstream and downstream sections, and their topographical features are very complex, including confluences where tributaries merge, bends where the river curves, and straight sections with high flow velocities. Nevertheless, existing early warning systems often fail to adequately reflect these specific characteristics and frequently apply uniform standards, resulting in limitations in prediction accuracy. FIG. 1 is a block diagram showing the overall configuration of a flood early warning system according to one embodiment of the present invention. Figure 2 is a flowchart illustrating the process of processing missing values and outliers in the data processing unit of the present invention. Figure 3 is a conceptual diagram illustrating how the virtual sensor of the present invention applies a different prediction model depending on the topography of a river (confluence, bend, straight section). Figure 4 is a flowchart illustrating the process of verifying and correcting prediction accuracy using a virtual sensor for verification in the virtual sensor verification unit of the present invention. Figure 5 is a flowchart illustrating the process of predicting future water levels and generating an alarm in the early warning unit of the present invention. Figure 6 is a graph showing a comparison of the timing of early warning issuance by the system of the present invention and the existing flood control center during an actual heavy rain situation. FIG. 7 is an example of a flood warning notification message transmitted to a user terminal according to the present invention. It should be noted that the attached drawings are provided as examples for reference to help understand the technical concept of the present invention, and the scope of the rights of the present invention is not limited by them. Hereinafter, with reference to the drawings, we will examine the configuration of the present invention as guided by various embodiments thereof and the effects derived therefrom. In describing the present invention, detailed descriptions of related known functions are omitted if they are deemed obvious to a person skilled in the art and could unnecessarily obscure the essence of the invention. As used in this document, the terms “part” or “module” may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be a compone