KR20230061012A - Big data-based flood warning and prevention system using CCTV and signage - Google Patents

Abstract

The present invention relates to a flood disaster/disaster warning and warning system. The present invention is a non-structural measure to prevent flooding disasters. Disclosed is a big data-based flood forecasting-warning and prevention system using a CCTV and a signage, which uses big data from a CCTV video and water level sensors and artificial intelligence to predict water levels and flood risk areas, and increases visibility and communicability so that the general public can easily recognize prediction results to provide forecasting-warning services in advance before flooding occurs by outputting the forecasting-warning services on a web, mobile, and signage.

Description

Big data-based flood warning and prevention system using CCTV and signage}

The present invention relates to a smart city flood forecasting warning and prevention system based on big data using CCTV and signage. More specifically, CCTV image data, real-time water level measurement data from water level sensors, and public data are collected as non-structural measures for flood disaster prevention, and big data built with the collected data is analyzed, and water level prediction and Predict flood risk areas and increase visibility and delivery so that general citizens can easily recognize the prediction results, and display them on web, mobile, and signage to provide warning services in advance before flooding occurs, resulting in loss of life and property It is an invention to minimize

A technology for predicting flooding in an area using real-time video data and water level measurement data of CCTV and for forecasting and warning using an output device such as digital signage is being implemented, and research is being actively conducted to increase its efficiency. .

In this regard, the patented invention of a water level monitoring system for disaster prevention of Korean Patent No. 10-1719320 (registration date: March 17, 2017) has been disclosed.

The patented invention includes a sensing unit for collecting environmental information including the water level of a river, an imaging unit including one or more cameras and providing a real-time on-site image of a river captured from the camera, and a real-time stream of the river from the sensing unit and the imaging unit. A video water level monitoring device including a calculation unit that receives environmental information and image data and collects them to calculate a water level; and an operation server that interworks with the video water level monitoring device through a wired/wireless communication network to receive river environmental information, field images, and calculation data, and output processing results according to a manager's request command.

Since the patented invention matches the comparison level to the received camera image and compares it with a preset reference water level, the current water level is calculated and provided. there is.

In addition, the patented invention of the image-based disaster situation management system of Republic of Korea Patent No. 10-2018151 (Registration Date: 29/08/2019) is disclosed.

The patented invention, based on intelligent CCTV, provides real-time water level detection information collection of an automatic water level detection system, location information-based information display, and real-time streaming of water level detection images, so that it can quickly and accurately respond to urgent disaster situations. As a video-based disaster situation management system, it collects and loads water level detection information analyzed by the risk level detection system based on CCTV images, and calls the loaded information when there is a user's data request to locate CCTV points and locations on the map based on GIS. It is a configuration that visualizes and provides sensed information.

The above patent invention has the problem of newly installing an intelligent CCTV to provide a GIS-based current water level detection image based on the video obtained from the CCTV, and the problem of not being able to predict flooding in the area and provide forecasting and warning information there is.

In addition, Korean Patent No. 10-2043999 (registration date: November 06, 2019) of Brainy RTU for flood forecast / warning, a rainfall prediction method using the same, and a patent invention of a fire / flood related alarm transmission method have been disclosed. there is.

The patented invention includes an RTU side measurement data receiving module for receiving water level data and rain data measured by a water level sensor and a rain sensor; a measurement data transmission module for transmitting the water level data and rainfall data received from the RTU-side measurement data reception module to a user terminal in real time for flood forecasting/warning; a sensor value measurement module configured to receive temperature data from a temperature sensor, humidity data from a humidity sensor, and meteorological data from a meteorological sensor; an RTU-side video data receiving module for receiving peripheral video data from CCTV cameras and video data of the station where the Brainy RTU is installed; A satellite communication data receiving module for receiving satellite communication data from an artificial satellite; Temperature data, humidity data, and meteorological data received from the sensor value measurement module, image data received from the RTU side image data receiving module, and data according to rainfall attenuation of satellite communication data received from the satellite communication data receiving module An artificial intelligence analysis module for generating a rainfall prediction value by analyzing each missing phenomenon; a rainfall prediction value transmission module for transmitting the rainfall prediction value generated by the artificial intelligence analysis module to a user terminal; an alarm transmission module that transmits a flood example/warning alarm to a user terminal in real time or generates a fire/flood related alarm and transmits the generated alarm to the user terminal when the water level data and rainfall data are equal to or greater than predetermined standards; a video data transmission module for transmitting the video data received from the RTU-side video data receiving module and the video data of the station where the Brainy RTU is installed to the user terminal; a wireless input command receiving module receiving a command for remotely controlling the brainy RTU from the user terminal; a button input module that receives a button input for controlling the brainy RTU from the user; It is an invention of a configuration including a touch input module that receives a touch input for controlling the brainy RTU of the user.

Since the patented invention requires an RTU to be installed in the field, there is a problem in maintaining and monitoring the RTU.

Therefore, by utilizing existing CCTVs and water level measuring devices installed in rivers such as cities, real-time water level measurement data and video data are secured to build water level related big data, and based on this, artificial intelligence algorithms for water level prediction are applied. Derive accurate water level prediction data, generate GIS-based flood prediction mapping data based on public data such as climate of the region collected in real time, Based on this, it is desired to invent a disaster forecasting, warning and prevention system that visualizes flood prediction in the corresponding area and transmits and displays it to an output device such as a digital signage.

Republic of Korea Patent No. 10-1719320 (registration date: March 17, 2017) Republic of Korea Patent No. 10-2018151 (Registration date: August 29, 2019) Republic of Korea Patent No. 10-2043999 (registration date: November 06, 2019)

The present invention is to solve the problems of the prior art, and an object of the present invention is to predict water level and flood risk area by using CCTV images, big data of water level sensors and artificial intelligence as a non-structural countermeasure for flood disaster prevention. CCTV, which minimizes human damage and property loss by providing forecasting and warning services in advance before flooding occurs by outputting forecast results to web, mobile, and signage by increasing visibility and delivery so that ordinary citizens can easily recognize them. It is to provide a big data-based flood forecasting, warning and prevention system using signage.

As a technical solution to achieve the object of the present invention, in the first aspect of the present invention, real-time water level measurement data and captured image data are received, climate and weather related public data are received, and the received water level measurement data and images are received. Based on the data, accurate water level prediction data is generated using artificial intelligence algorithms, flood prediction data is generated using the received public data and geographic information data, and visualization content is based on the generated water level prediction data and flood prediction data. and an operating computer that creates and manages contents related to the disaster forecasting and warning associated therewith, and provides them to various display means; It is connected to the operating computer or is included in itself, and stores real-time water level measurement data, image data, and public data received by the operating computer, and stores water level prediction data and flood prediction data generated by the operating computer, , a data storage device for storing flood prediction visualization contents generated by the operating computer; a water level data collection device unit that is connected to the operating computer and transmits data obtained by measuring the water level in a corresponding location in real time to the operating computer, including at least one water level measuring sensor installed at the monitoring location; An image data collection device that is connected to the operating computer and transmits image data captured in real time of the environment including the water level of the corresponding location to the operating computer, including at least one video camera including a CCTV installed at the monitoring location. wealth; a public data providing unit including at least one public institution computer that provides public data so that the operation computer can collect data related to climate and meteorological information through communication means; A content output device unit including a digital output device such as a digital signage, a smartphone or a dedicated terminal that is connected to the operating computer and receives and outputs flood prediction content and disaster forecasting and warning content generated by the operating computer. A big data-based flood forecasting, warning and prevention system using CCTV and signage is presented.

In addition, as a second aspect of the present invention, a data management computer for receiving real-time water level measurement data of a monitoring place and public data related to climate and weather of the place to manage big data conversion and analysis, and receiving video data taken at the monitoring place Based on the video management computer that manages the video/image data and the water level measurement data provided by the data management computer and the video/image data provided by the video management computer, accurate water level prediction data at the monitoring location is obtained using an artificial intelligence algorithm. Create and generate flood prediction data using public data and geographic information data provided from the data management computer, and create visualization contents and related disaster forecasting and warning related contents based on the generated water level forecast data and flood forecast data. an operating computer unit including a web operating computer that provides and manages display means; A collection data storage device connected to or included in the data management computer and storing real-time water level measurement data received by the data management computer and public data collected from at least one public institution computer, and the image management computer A video/image storage device that stores captured image data and image data of the monitoring location received by the video/image storage device, and a content storage device that stores flood prediction visualization content generated by the web operating computer based on the generated water level prediction data and flood prediction data A data storage unit including a; a water level data collection device unit that is connected to the data management computer and transmits data obtained by measuring the water level at a location in real time to the data management computer, including at least one water level measurement sensor installed at the monitoring location; At least one video camera including a CCTV connected to the video management computer and installed at a monitoring site to transmit video data captured in real time of the environment including the water level of the corresponding site to the video management computer. a collection unit; a public data providing unit including at least one public institution computer that provides public data so that the data management computer can collect data related to climate and meteorological information through communication means; A content output device including a digital output device such as a digital signage, a smart phone or a dedicated terminal that is connected to the web operating computer and receives and outputs flood prediction contents and disaster forecasting and warning contents generated by the web operating computer. A big data-based flood forecasting, warning and prevention system using CCTV and signage is presented.

According to the present invention, it is possible to reduce property loss and prevent human damage due to urban flooding disasters by utilizing CCTVs already installed on rivers, bridges, etc., and analyze real-time water level measurement data and image data and apply them to artificial intelligence algorithms to achieve more accurate water levels. Prediction data can be generated, and flood prediction data can be created by bringing public data related to the climate and weather of the place and combining them with geographic information to provide accurate water level prediction and flood prediction by visualizing and providing digital signage devices , Bridges, drainage pumping stations, road notice boards (electronic boards), low-lying residential areas, low-lying businesses, etc. can be installed in places vulnerable to flooding and disasters to predict and warn flooding, so it is effective to efficiently provide disaster forecasting and warning services in necessary places.

1 is a schematic configuration diagram of an embodiment of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.
2 is a schematic configuration diagram of an embodiment of an operating computer, which is a main part of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.
3 is a schematic configuration diagram of an embodiment of a water level data collection device management module, which is a main part of the operating computer of the present invention.
4 is a schematic configuration diagram of an embodiment of an image data collection device management module, which is a main part of the operating computer of the present invention.
5 is a schematic configuration diagram of an embodiment of a public data collection means management module, which is a main part of the operating computer of the present invention.
6 is a schematic configuration diagram of an embodiment of a collection data information management module, which is a main part of the operating computer of the present invention.
7 is a schematic configuration diagram of an embodiment of a public data information management module, which is a main part of the operating computer of the present invention.
8 is a schematic configuration diagram of an embodiment of a flood prediction information management module, which is a main part of the operating computer of the present invention.
9 is a schematic configuration diagram of an embodiment of a content information management module, which is a main part of the operating computer of the present invention.
10 is a schematic configuration diagram of an embodiment of a content output means management module, which is a main part of the operating computer of the present invention.
11 is a schematic configuration diagram of an embodiment of a communication information management module, which is a main part of the operating computer of the present invention.
12 is a schematic configuration diagram of another embodiment of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.
13 is a conceptual diagram of inundation prediction using public data and geographic information (GIS) of the present invention.
14 is a schematic configuration diagram related to an embodiment of an output configuration through digital signage of flood prediction contents or disaster forecasting and warning contents, which are main parts of a big data-based flood forecasting warning and prevention system using CCTV and signage of the present invention. am.
15 is an exemplary screen view of water level prediction or flood prediction visualization contents output to a digital signage device, which is a main part of a big data-based flood forecasting and warning system using CCTV and signage of the present invention.
16 is an exemplary diagram of a digital signage device for outputting visualization content for predicting flooding according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Terms used in the description of the embodiments of the present invention will be defined. The various computers used in the present invention may be hardware components themselves, or computer programs and web programs utilizing hardware resources. For example, the operating computer, data management computer, video management computer, web operating computer, and public data computer of the present invention may be composed of each component of the hardware included in the computer, and the web program stored in the memory, which is the storage means of the computer. Alternatively, each component of the computer program may be executed using resources including at least one hardware processor of a central processing unit (CPU) including instructions and algorithms stored in computer registers.

In addition, among the terms used or can be used in the description of the embodiments of the present invention, '~unit' used in the water level data collection device unit, the image data collection unit unit, the operating computer unit, and the data storage unit unit refers to a related device or computer. It may represent a configuration including at least one or more.

In addition, '~ module' may represent a component made of hardware or a component made of a computer program or web program that is executed using hardware resources.

In the embodiment of the present invention, the above terms are mainly used as terms representing each component of a web program or computer program.

In addition, terms or expressions not defined herein are not bound by the terms or expressions, and of course have greater meaning in the contents of the action or function of the indicated component.

1 is a schematic configuration diagram of an embodiment of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.

As shown in FIG. 1, the big data-based flood forecasting, warning and prevention system using CCTV and signage of the present invention receives real-time water level measurement data and photographed image data, receives climate and weather related public data, Based on the received water level measurement data and image data, an artificial intelligence algorithm is used to generate accurate water level prediction data, and flood prediction data is generated using the received public data and geographic information data. An operating computer (1000) that generates flood prediction visualization content and disaster forecasting and warning related content related thereto based on prediction data, provides them to various display means, and manages them; It is connected to the operating computer 1000 or is included in the operating computer 1000, and stores real-time water level measurement data, image data, and public data received by the operating computer 1000, and the water level generated by the operating computer 1000. a data storage device (2000) for storing prediction data and flood prediction data and for storing flood prediction visualization contents generated by the operating computer (1000); Water level data that transmits real-time measurement data of the water level at the corresponding place to the operating computer 1000, including at least one water level measurement sensor 3100 connected to the operating computer 1000 and installed at the monitoring location. a collection device unit 3000; The operating computer (1000) communicates with the operating computer (1000) and transmits image data captured in real time of the environment including the water level of the corresponding place, including at least one video camera 4100 including a CCTV installed at the monitoring place. 1000) and the image data collection device unit 4000 for transmission; A public data providing unit 5000 including at least one public institution computer 5100 that provides public data so that the operation computer 1000 can access through communication means to collect data related to climate and weather information; and ; A digital output device 6100 such as a digital signage, a smartphone or a dedicated terminal that is connected to the operating computer 1000 and receives and outputs flood prediction contents and disaster forecasting and warning contents generated by the operating computer 1000 It is a configuration including a content output device unit 6000 including a.

The operation computer 1000 collects real-time water level measurement data, image data, and climate-related public data of the monitoring place, transforms the collected data into big data, and predicts the water level by using artificial intelligence algorithms with improved accuracy of the built big data. Data is generated, and flood prediction data is created by utilizing climate-related public data and geographic (GIS) information, and the generated water level prediction data and flood prediction data are created as flood prediction visualization contents to be used on output devices such as digital signage. As a component for controlling the execution of a computer program or web program executed to transmit, it may be composed of a server computer having communication means and having at least one hardware processor and memory.

The data storage device 2000 stores water level measurement data, image data, and public data collected by the operating computer 1000, stores big data constructed with these data, and stores the request of the operating computer 1000. It can be composed of a database management system (DBMS) that provides and manages data in response to

The water level data collection device unit 3000 includes at least one water level measuring sensor 3100 installed at each monitoring place, and the water level measuring sensor 3100 is installed at a monitoring place including a bridge, a river, and a drainage pumping station. As a device that measures the water level in real time and transmits it to the operating computer 1000, for example, a high-precision float level meter that measures the water level according to the movement of a float, a radar level meter that measures the water level with a radar pulse method, or pressure according to the change in liquid level It may be composed of at least one of pressure-type water level gauges that measure the water level by detecting the value of the piezoelectric element installed at the end. However, the type of water level measuring sensor is not limited thereto.

The image data collection device unit 4000 includes at least one image capturing camera 4100 installed at each monitoring location, and the image capturing camera 4100 captures, for example, a water level image of the monitoring location in real time. Based on at least one closed circuit television (CCTV) pre-installed in the corresponding place that transmits the image or set number of images to the operating computer 1000, it may be configured to include at least one CCTV newly installed at the selected location. there is.

The public data providing unit 5000 is at least one public institution computer 5100 operated by a public institution that provides climate and meteorological data such as weather, rainfall, temperature and humidity, and UV index. When requesting data periodically or frequently, it can be configured as a server computer of a public institution that provides requested data to the operation computer 1000.

The content output device unit 6000 is a web service output device such as a PC, laptop, or television, a mobile device that outputs a service by executing a web or app program, and a digital signage installed at or near each monitoring place. It may consist of a device.

2 is a schematic configuration diagram of an embodiment of an operating computer, which is a main part of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.

As shown in FIG. 2, the operating computer of the present invention manages a water level data collection device that manages information including unique identification information of at least one water level measuring sensor 3100 installed in a monitoring place and measuring the water level in real time. module 1100; an image data collection device management module 1200 for managing information including unique identification information of at least one video camera 4100 installed in a monitoring place and capturing a water level image in real time; A public data collection means management module for managing information of public data collection means such as a crawler for collecting climate and weather related data from at least one public institution computer 510 that provides climate and weather information in relation to a monitoring place ( 1300) and; a collection data information management module 1400 that transforms the real-time water level data and image data collected by the water level data collection device unit 3000 and the image data collection device unit 4000 into big data, stores and manages the data; A public data information management module (1500) that receives public data related to climate and weather provided by at least one public institution computer (5100) at the request of the operation computer (1000) and searches, stores, and manages geographic information of the corresponding place. )class; Analyzing the big data built on the basis of the water level data and image data, applying a water level prediction algorithm to generate water level prediction data with improved accuracy, and inundation prediction by combining the public data and geographic information (GIS) related to the place A flood prediction information management module 1600 for generating, storing, and managing flood prediction data by applying an algorithm; A content information management module (1700) for generating and managing the inundation prediction data as visualization content suitable for display on an output device including a wired/wireless web service device, an app service device, and a digital signage; a content output means management module 1800 for managing information including identification information of at least one wired/wireless digital output device for the operation computer 1000 to transmit and output the visualization content; At least one water level measurement sensor 3100, at least one video camera 4100, communication protocol with at least one public institution computer 5100, communication for managing communication protocol information with at least one digital output device 6100 It is a component including an information management module (1900).

3 is a schematic configuration diagram of an embodiment of a water level data collection device management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 3, the water level data collection device management module 1100 of the present invention stores unique identification information and installation location information of at least one water level measurement sensor 3100 installed in a monitoring place, and device state information. a water level measurement sensor information management module 1110 capable of monitoring; A middleware communication information management module 1120 that manages information of a middleware means for receiving the detected water level signal of the water level measurement sensor 3100 and transmitting water level measurement data to the operating computer 1000 through a set communication protocol. ) is a composition that includes

4 is a schematic configuration diagram of an embodiment of an image data collection device management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 4, the video data collection device management module 1200 of the present invention stores unique identification information and installation location information of at least one video camera 4100 installed in a monitoring place, and device state information. a video camera information management module 1210 capable of monitoring; A middleware communication information management module 1220 for managing information of a middleware means for receiving captured image data provided by the image capturing camera 4100 and transmitting image data to the operating computer 1000 through a set communication protocol. It is a composition that includes

5 is a schematic configuration diagram of an embodiment of a public data collection means management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 5, the public data collection means management module 1300 of the present invention includes at least one public data portal site that provides climate and weather-related public data including weather, rainfall, temperature and humidity, and UV index. a public data provider institution information management module 1310 that manages institutional information and operating public institution computer information; Public data that manages information including identification information of public data collection means including a crawler that collects set data after accessing a portal site operated by at least one public institution computer by using the API provided by the portal site It is a configuration including a collection means information management module 1320.

6 is a schematic configuration diagram of an embodiment of a collection data information management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 6, the collected data information management module 1400 of the present invention is based on real-time water level data and image data collected by the water level data collection device unit 3000 and the image data collection device unit 4000. A big data construction information management module 1410 for constructing big data and managing updates through analysis including text mining, statistical techniques and option analysis; It is a configuration including a basic analysis data management module 1420 that searches and manages the basic analysis data in response to the request of the operating computer 1000 to generate water level prediction data from the water level data and image data built with big data. .

7 is a schematic configuration diagram of an embodiment of a public data information management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 7, the public data information management module 1500 of the present invention extracts climate and weather-related public data collected through an API from a portal site operated by at least one public institution computer in a specific pattern or order. a public data parsing information management module 1510 for managing a data parsing process of processing information; Before collecting and parsing climate and meteorological data provided by public institution computers, it is queried whether climate and meteorological data of the corresponding funeral exist in the data storage device (2000), and if the data exists, the data is retrieved and used. , It is a configuration including a meteorological data information management module 1520 that collects, stores, and manages public data using a crawler when the data does not exist.

8 is a schematic configuration diagram of an embodiment of a flood prediction information management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 8, the flood prediction information management module 1600 of the present invention analyzes big data built based on the water level data and image data and applies a water level prediction algorithm to generate water level prediction data with improved accuracy. A water level prediction data generation management module 1610 to do; It is configured to include a flood prediction data generation management module 1620 for generating flood prediction data by applying a flood prediction algorithm by grafting the public data and geographic information (GIS) related to the place.

9 is a schematic configuration diagram of an embodiment of a content information management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 9, the content information management module 1700 of the present invention is a data mapping information management module 1710 that maps location data by data so that a flooded area can be predicted based on the water level prediction data and flood prediction data. )class; Content visualization information that manages visualized contents provided through wired/wireless web services, app services, and digital signage services while visualizing and managing contents so that users can check them by outputting mapping data between flood prediction data and location information on digital signage, etc. It is a component including a management module 1720.

10 is a schematic configuration diagram of an embodiment of a content output means management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 10, the content output means management module 1800 of the present invention provides visualized content related to flood prediction and related disaster information to the website to output through the website provided to PC, TV, and mobile communication terminal. a web service output means management module 1810 that updates and manages in real time; A mobile output means management module for updating and managing flood prediction-related visualization content and related disaster forecasting and warning information in real time to the mobile device so as to be output through an application program (app) running on a mobile device such as a smartphone or tablet computer ( 1820) and; It is a configuration that includes a digital signage management module 1830 that performs a content interrupt function on the digital signage installed in the monitoring place to output flood prediction-related visualization content and related disaster forecasting and warning information and manages updates.

11 is a schematic configuration diagram of an embodiment of a communication information management module, which is a main part of the operating computer of the present invention.

As shown in FIG. 11, the communication information management module 1900 of the present invention includes a water level data collection device unit 3000, an image data collection device unit 4000, a public data providing device unit 5000, and a content output device unit. a TCP/IP communication information management module 1910 that manages a communication protocol for data transmission/reception with (6000); an HTTP communication information management module 1920 for managing a communication protocol for simple command transmission with the digital signage set-top device among the content output device unit 5000; It is a configuration including a network monitoring management module 1930 for monitoring errors in network communication.

12 is a schematic configuration diagram of another embodiment of a big data-based inundation warning and prevention system using CCTV and signage of the present invention.

As shown in FIG. 12, the big data-based inundation forecasting, warning and prevention system using CCTV and signage of the present invention receives real-time water level measurement data of a monitoring place and public data related to climate and weather of the corresponding place and turns them into big data. and a data management computer 100 for managing analysis, a video management computer 200 for receiving image data taken at a monitoring place and managing video/image data, and water level measurement data provided by the data management computer 100 Based on the video/image data provided by the video management computer 200, artificial intelligence algorithms are used to generate accurate water level prediction data at the monitoring location, and public data and geographic information data provided by the data management computer 100 are used. Operation including a web operating computer 300 that generates flood prediction data and generates visualization contents and disaster forecasting and warning related contents related thereto based on the generated water level prediction data and flood prediction data, provides them to various display means, and manages them. a computer unit 1000a; Is connected to the data management computer 100 or is included in the data management computer 100 and stores real-time water level measurement data received by the data management computer 100 and public data collected from at least one public institution computer 5100 Based on the collection data storage device 2100, the video/image storage device 2200 that stores the captured image data and image data of the monitoring location received by the video management computer 200, and the generated water level prediction data and flood prediction data a data storage device unit 2000a including a content storage device storing flood prediction visualization content generated by the web operating computer 300; At least one water level measurement sensor 3100 connected to the data management computer 100 and installed in a monitoring location includes real-time measurement data of the water level at the corresponding location and transmits the data to the data management computer 100. a data collection device unit 3000; At least one video camera 4100 including a CCTV connected to the video management computer 200 and installed at the monitoring site transmits image data captured in real time, including the water level of the site, to the video management system. an image data collection device unit 4000 transmitting to the computer 200; A public data providing unit (5000) including at least one public institution computer (5100) providing public data so that the data management computer (100) can access through communication means to collect data related to climate and weather information and; A digital output device such as a digital signage, a smartphone or a dedicated terminal that is connected to the web operating computer 300 and receives and outputs flood prediction contents and disaster forecasting and warning contents generated by the web operating computer 300 ( 6100) and a content output device unit 6000.

The data management computer 100 and the image management computer 200 have at least one hardware processor to control the execution of a computer program or web program for the above action stored in a memory, and have communication means and at least It may consist of a server computer having a single hardware processor and memory.

In addition, the web operating computer 300 connects to the digital output devices 6100 through communication means to transmit and output advertisement and promotional contents, and to transmit and output flood prediction-related and disaster-related state change contents. It can be configured as a web server.

Configuration and water level prediction that convert collected water level measurement data and video/image data into big data to create water level prediction data using artificial intelligence algorithms, and create inundation prediction data by combining collected public data with geographic information (GIS) The configuration for generating data and flood prediction data as visualization contents may be configured to be implemented in the data management computer 100 or the image management computer 200.

Hereinafter, with reference to FIGS. 1 to 12, the operation of the big data-based inundation warning and prevention system using the CCTV and signage of the present invention will be described in detail.

Embodiments of the present invention are basically existing CCTVs and water level measurement sensors installed in rivers, bridges, drainage pumping stations, road notice boards (electronic boards), low-lying residential areas, low-lying businesses, etc. to prevent property loss and human casualties due to urban flooding disasters It is an invention related to a system for providing a flood disaster forecasting and warning service through web and app services to digital signage and various output devices installed in the area using

Therefore, the main components in the embodiment of the present invention are an accurate water level prediction algorithm based on water level measurement data and CCTV image data, a flood risk prediction algorithm, mapping of flood prediction data and geographic information, and forecasting and warning contents through digital signage. of the output description elements.

12, which is another embodiment of the present invention, shows the data management computer 100 in which the operation computer 1000 in the embodiment of FIG. 1 collects and processes water level data and public data, and video management that collects and processes video/image data. It is a configuration subdivided into a computer 200 and a web operating computer 300 that transmits and outputs visualized contents to at least one digital output device 6100 such as a digital signage. Therefore, hereinafter, an embodiment of the operating computer 1000 of FIG. 1 will be mainly described.

The water level data collection device unit 3000 receives the water level data sensed in real time by at least one water level measurement sensor 3100 installed in the monitoring place through the provided middleware, transmits it to the operating computer 1000, and transmits the image data collection device The unit 4000 converts or captures video and video data captured by at least one video camera 4100, such as a CCTV installed in a monitoring place, according to a set standard through middleware equipped with a plurality of image data to receive the above information. It is transmitted to the operating computer 1000, and the operating computer 1000 provides an API to a portal site that provides climate and weather related information operated by at least one public institution computer 5100 of the public data providing device unit 5000. It accesses through and crawls climate and weather-related public data in a period and manner according to set standards, and collects climate and weather-related public data of effective monitoring sites through a parsing process.

The operating computer 1000 stores the received real-time water level measurement data and video/image data in the data storage device 2000, which is a big data storage means. In addition, the collected public data is stored in the data storage device (2000).

The image data taken by the image data collection device unit 4000 is an image file stored in the data storage device 2000 through a pre-processing process of collecting image data, for example, 5 images per minute and converting the image data into image data. can be saved as

The water level measurement data collected by the water level data collection device unit 3000 can calculate the water level analyzed by applying an algorithm to the image extracted from the image data, and store the result in the data storage device 2000. . In this way, water level prediction data may be generated and stored by applying an artificial intelligence algorithm to water level measurement data and image data.

Here, the artificial intelligence algorithm for generating water level prediction data or inundation prediction data utilizes the water level measurement data received from the water level data collection device unit 3000 or water level related image data received from the image data collection device unit 4000. It analyzes and extracts precipitation and water level data, distinguishes instantaneous precipitation data and cumulative precipitation data from the precipitation data, applies them as a set time, extracts a graph, and can be used to determine whether a monitoring place is flooded. In addition, it is possible to determine the similarity with a reference pattern using a pattern analysis method, or to predict a water level or a flooded area through a regression equation derived by deriving a regression equation.

In addition, as a method of selecting an area of interest from image data captured by a video camera 4100 such as a general CCTV and tracking the degree of submergence in real time by using a color value, the entire area of the image is submerged using a submerged area of interest selection means. After screening, water level prediction data or inundation prediction data can be generated by using a coordinate system and color values in the selected area to predict the water level or determine whether or not there is flooding in the area.

Based on the water level prediction data or inundation prediction data generated using the above-described algorithm, the creation of visualization content that can be displayed and confirmed on various content output devices is collected through the API in the public data providing device unit 5000. Inundation traces of monitoring sites can also be created by mapping public data such as meteorological data with geographic information (GIS) data.

To this end, a flood simulation test may be performed by reflecting condition information for each region in the water level prediction data or flood prediction data generated through the water level prediction or flood prediction algorithm. That is, it is possible to predict the result through simulation and generate the predicted result as visualization content based on geographic information (GIS).

More specifically, as a result of a geographic information (GIS)-based simulation test, it is possible to visualize a geographic information (GIS)-based flood risk map and flood forecast, so that the expected flooded area is interpreted through geographic information (GIS) to create content. can make it In addition, the visualized submerged area can be outputted to the content output device by dividing the submerged area according to the inundation information.

13 is a conceptual diagram of inundation prediction using public data and geographic information (GIS) of the present invention.

As shown in FIG. 13, the flood prediction using public data and geographic information (GIS) of the present invention uses the public data collection unit (1) and the flooded area prediction mapping unit (2) using the collected public data. can be explained by

The public data collection section (1) includes flood data and flood trace maps (10), geographic information (GIS) data (20) of the region, and meteorological data (30) collected from public institution computers, The flooded area prediction mapping unit 2 analyzes public data and maps the flooding frequency by area to geographic information (GIS) to display the flooded frequency contents 40 by area, and the drainage pump ratio per area in the area Drainage pump ratio contents 50 mapped to geographic information (GIS) and displayed, and flood probability prediction contents 60 for each region predicted by predicting the flood probability of the region and displayed by mapping to geographic information (GIS) can be generated. there is.

However, it is not limited thereto, and it is possible to generate various inundation prediction visualization contents by mapping the collected public data to geographic information (GIS) using an artificial intelligence algorithm.

In addition, various regional information data such as real-time rainfall data by region, past rainfall data, ultra-short-term rainfall data, and flood trace data are secured from the public data portal (data.go.kr) and displayed in real time on web/mobile and digital signage systems. can

The public data collection includes data collection using web crawling techniques, a scraping process of processing data collected through API into a desired form, extracting collected data in a specific pattern or order, processing information, and a series of Public data can be processed and stored through a parsing process that decomposes and sorts strings into meaningful tokens.

In addition, as a crawling process of posting information, the presence or absence of weather information is checked in the existing database of the data storage device 2000, and if there is data, the existing data is processed and utilized, and if there is no data, the crawling module is used. It can be configured to process after collection and storage.

In addition, regarding flooded area prediction mapping, since public data has different management standards and display methods depending on the institution providing it, common elements between data are analyzed and connected based on the standard data in order to combine data into one data. define the relationship To this end, information for location and area information represented by the information in each data is analyzed, common elements are extracted (eg, coordinates, administrative districts) to connect with GIS data, and information for linking visualization information with geographic information (GIS) It can be configured to visualize necessary data according to the definition of the region and the mapped information.

In addition, in relation to web/mobile content output of water level prediction data or flood prediction data, when a region is clicked on a web/mobile device screen, the installed CCTV image and weather information of the region can be monitored. In addition, it can be configured to predict flooding in the installation area and output a danger message when it occurs. In addition, it may be configured to display a flood forecast based on the collected big data. In addition, it can be configured to display a drain pump ratio and flood frequency map based on the collected data. In addition, it may be configured to display a real-time flood risk based on the collected data.

Regarding digital signage content output of water level prediction data or flood prediction data, the operating computer may be configured to store scheduled video content and transmit it to the digital signage device through a push signal. In addition, as a database for data management necessary for the operation of digital signage, it is designed to perform the functions of content display location management / large-capacity file storage management / public data classification and storage / water level sensor and CCTV image data storage / content priority derivation and management means storage can be built

In addition, as a general function expression function on the digital signage device, it is implemented as a content conversion view function tailored to the collected data-based contents, so that local information contents (civil complaint information, tourism information, general publicity/advertisement video, etc.) are output during normal times. can be configured.

In order to provide flood disaster/disaster contents (evacuation instructions and real-time situation report video) to the digital signage device, a content interrupt means for prompt delivery of flood information contents in the event of bad weather such as localized heavy rain, showers, and hail may be provided. Can be provided. At the same time, it can be configured to implement an emergency transmission function to nearby people through content delivery to all digital signage devices connected to public data computers by utilizing the “Disaster Situation Propagation Message Information Service” API provided by the public data portal.

14 is a schematic configuration diagram related to an embodiment of an output configuration through digital signage of flood prediction contents or disaster forecasting and warning contents, which are main parts of a big data-based flood forecasting warning and prevention system using CCTV and signage of the present invention. am.

As shown in FIG. 14, the flood forecasting and warning system (hereinafter referred to as 'environmental change information display system') through the digital signage device of the present invention is a digital signage device for advertising / publicity installed in each monitoring place. It manages set-top device information that controls driving, can output water level prediction or inundation prediction visualization contents by utilizing screen interrupt means, and manages information of environmental state sensing devices including CCTVs connected to the set-top device , Disaster/disaster and environment-related public environment change information in a specific area is collected, environmental state detection data provided from the set-top device is collected, environment-related interest data is collected through a social network, and public environment change information collected, Managing environmental state content edited in a form for outputting environmental state detection data and environment-related interest data to a digital signage device, setting an output schedule of environmental state content, and setting the environmental state content to the set-top device a content management computer 510 providing information together;

It is connected to or included in communication with the content management computer 510, stores location information and status information of set-top devices and environmental state sensing devices in each region, and provides public environment change information and environmental conditions from the content management computer a content storage device 520 that stores sensing data, environment-related interest data, environmental state content, and schedule information and provides content requested by the content management computer 510;

The content management computer 510 edits the environmental state content to be output to the digital signage device based on the public environment change information, environmental state detection data, and environment-related interest data received through communication with the content management computer 510. At least one manager terminal 530 provided to;

a public content providing computer 540 that is connected to the content management computer 510 through API and provides information on environmental conditions such as regional disasters or natural disasters and weather;

a social network (SNS) 550 that communicates with the content management computer 510 and provides collected environment-related interest data;

It is communicatively connected to the content management computer 510, transmits the received environmental state detection data, receives edited environmental state content and schedule information from the content management computer 510, and provides it to a digital signage device to control output a set-top device 560 in each region;

an environmental change detection device 570 that is connected to the set-top device 560 and includes an imaging device and various sensors that senses and transmits changes to the surrounding environment to the set-top device 560;

It is a configuration including a digital signage device 580 that is connected to the set-top device 560 and displays advertisement/promotional contents and then displays environment state contents according to control provided from the set-top device 560 .

The system of FIG. 14 is provided separately from the embodiment of FIG. 1 or 12 and can be configured to transmit and receive data using the embodiment of FIG. 1 or 12 and a communication means while sharing a digital signage device. It may also be configured to share components of the embodiments of FIGS. 1 and 12 .

The content management computer 510 is equipped with communication means, collects data from the public content providing computer 540, the set-top device 560 and the social network (SNS) 550, and edits the collected data to provide the set-top device It may be composed of at least one server computer provided to 560, and may be composed of a computer program or web program that is stored and executed by utilizing hardware resources such as at least one hardware processor and memory provided by the server computer. .

The content management computer 510 may be configured using the operating computer 1000 of the embodiment of FIG. 1 or may be configured utilizing the operating computer unit 1000a of FIG. 12 .

The content storage device 520 may be configured as a database management server (DBMS) that stores content provided from the content management computer 510 and provides data requested by the content management computer 510 .

The content storage device 520 may have a configuration using the data storage device 2000 of FIG. 1 or a configuration using the data storage device unit 2000a of FIG. 12 .

The manager terminal 530 is equipped with a communication means and edits the environment-related public content provided by the content management computer 510 and the environmental state detection data in a form suitable for outputting to the digital signage device 580 at the monitoring place. It may be composed of a PC, a laptop computer, various mobile phones, a mobile communication terminal, a tablet computer, a smart phone, etc.

The public content providing computer 540 is equipped with a communication means, and provides the content management computer 510 with environmental state data such as regional disasters or catastrophes, weather, temperature, humidity, fog, ultrafine dust and fine dust. , For example, it may be installed in the Korea Meteorological Administration or configured as a server computer as a component of a public data platform.

The public contents providing computer 540 may be configured to utilize the public institution computer 5000 of FIGS. 1 and 12 .

The social network (SNS) 550 may be composed of various social network service systems (SNS).

The set-top device 560 is equipped with a communication means and provides data collected by the environment change detection device 570 from the content management computer 510, and schedule information and environment provided by the content management computer 510. It may be composed of a device that receives state contents and controls the display of the environment state contents in the digital signage device 580 connected to communication according to a schedule.

The environmental change detection device 570 is provided with a communication means, is connected to the set-top device 560 for communication and provides sensed data, CCTV, imaging device including a camera, temperature, humidity, fog, fine dust , It may be composed of an Internet of Things (IoT) device including a sensor for measuring wind speed, wind direction, and illumination.

The imaging device may be configured to utilize the video camera 4100 of FIGS. 1 and 12 .

The digital signage device 580 includes a liquid crystal display, a light emitting diode (LED) display, and a device installed in a monitoring place.

The digital signage device 580 may be configured to utilize the digital output device 6100 of FIGS. 1 and 12 .

In addition, the content management computer 510 may include middleware that connects the content storage device 520 and the set-top device 560 at the monitoring location. In the following description of the embodiment, data transmission and reception between the set-top device 560 and the content storage device 520 in the monitoring place can be seen as a result of the connection function of the middleware.

The content management computer 510 connects to each public portal website using an API (Application Programming Interface) provided by at least one public website that provides environment-related public content such as a public data platform, and uses a crawling technique to weather the weather. Data on disasters, calamities, weather, temperature and humidity, wind direction, wind speed, ultrafine dust and fine dust information are collected, parsed, and desired public environment change information is generated and stored in real time or periodically. In addition, the content management computer 510 is connected to a digital signage device installed in each region or a set-top device communicatively connected to a group of digital signage devices, and an IoT device including an imaging device and various sensing devices with a set-top device Environmental condition detection data including images, temperature, humidity, fog, wind speed, illumination, ultra-fine dust and fine dust around the location are collected through each set-top device and stored by region. In addition, the content management computer 510 collects data of interest related to the environment, such as weather or fine dust, from social networks such as SNS, classifies data by region, and stores the data.

The content management computer 510 analyzes similarities and dissimilarities between the public environment change information and the environmental state detection data by region and content, and uses an algorithm to find similarities between the public environment change information and environmental state detection data based on the public environment change information. Let's find the optimal state information of . Next, the environment-related data of interest is analyzed to extract environment-related data of high interest for each region, and among the public environment change information and environmental state change data, environmental change information that matches the environment-related data of high interest is given a weight for display time, Create and store environmental state content.

The content management computer 510 determines the placement of the advertisement or promotion content and the environmental condition content by fetching the selected advertisement or promotional content to be output in each region and environmental condition content for each region and applying a predetermined or priority weight to the recommended content for each region. is generated and stored, transmitted to the set-top device in each region, and output to the digital signage device connected to the set-top device.

In this case, the recommended content output to the digital signage device may be an arrangement setting in which an advertisement or promotion content is output and then converted to an environment state content, or a setting arranged in a predetermined position of the advertisement or promotion content to be output.

In addition, the recommended content for each region can be output from the digital signage device by transmitting a set schedule or automatically set scheduling information to each set-top device together with the recommended content.

In addition, the form of the recommended content output to each digital signage device may be pre-edited or automatically edited, and may be configured to be output automatically adapted to the screen size and resolution of the digital signage device.

In addition, the content management computer 510 uses the API of the public portal website when a disaster or disaster such as an earthquake, tsunami, or fire occurs, for example, by bringing the disaster situation propagation message information service provided by the public portal website to set It is generated as emergency disaster content in the form of an interrupt command and transmitted to all set-top devices, and each set-top device stops the currently displayed advertisement or promotional content of the connected digital signage device with an interrupt function and outputs emergency disaster content. .

The interrupt command or function may be configured to cascade the current content output order in which the output order is scheduled and output emergency disaster content interposed between the schedules.

In addition, the information on the emergency disaster content may be generated as a voice file, transmitted to a set-top device together with the emergency disaster content, and output as a voice through a connected audio output device.

However, the operation of the above-described embodiment is not limited thereto, and of course, the operation of the embodiment applying various alternative means may also be included.

If the system of FIG. 14 is configured to share components of the embodiments of FIGS. 1 and 12, an interrupt command or function in the content management computer 510 will sequence the current content output order for which the output order is scheduled and Prediction or flood prediction visualization content and disaster forecasting content may be inserted between the schedules and output to the digital signage device.

In this case, the digital signage device installed at the monitoring location normally transmits local information, including, for example, civil complaint information, tourism information, general publicity and advertising images, etc. Output with weather information. When water level prediction or flood prediction visualization content is generated in the content management computer 510, a screen conversion command of the digital signage device is transmitted to the set-top box through an HTTP communication protocol, and the water level prediction or flood prediction visualization content is transmitted at the same time When output to the digital signage device, it may be configured to convert the usual local information contents into the water level prediction or flood prediction visualization contents and output them.

The digital signage device may be configured to implement a content interrupt function when bad weather such as localized heavy rain, shower, hail, etc. is implemented so that the water level prediction or flood prediction visualization content can be quickly switched and outputted.

In addition, it is possible to implement an emergency situation transmission function to people around by delivering and outputting disaster contents to all digital signage devices by utilizing the “Disaster Situation Propagation Message Information Service” API provided by the public institution portal website.

15 is an exemplary screen view of water level prediction or flood prediction visualization contents output to a digital signage device, which is a main part of a big data-based flood forecasting and warning system using CCTV and signage of the present invention.

As shown in FIG. 15, the screen of the digital signage device 70 of the present invention includes the flood prediction visualization content 71 of the monitoring place output to the entire display area of the digital signage, and the flood prediction visualization content 71 Disaster situation propagation message area 72 in the form of text overlapped and output on the upper part of the screen, and climate and weather condition information of the digital signage device installation area overlapped and output on both sides of the lower part of the flood prediction visualization content 71 This is a configuration in which an area 73 and a guidance information area 74 displaying guidance information such as disaster information and action tips in case of disaster are displayed.

However, it is not limited to this, and when the contents such as local information normally output on the digital signage device are transferred to the flood prediction visualization contents, they are converted into flood prediction visualization contents by an interrupt command and displayed, and the disaster transmitted from the public institution computer It can be composed of various structural areas in which situation propagation message information is displayed and the surrounding climate and meteorological information of the digital signage device are simultaneously displayed.

16 is an exemplary diagram of a digital signage device for outputting visualization content for predicting flooding according to the present invention.

Summarizing the operation of the embodiment of the present invention, a system including an operating computer that receives real-time water level measurement data, image data, and public data to generate and manage contents for flood forecasting, warning and prevention, wherein the operating computer is a monitoring place receiving real-time water level measurement data transmitted from at least one water level measurement device installed in the monitoring site and real-time photographed image data transmitted from at least one video camera installed in the monitoring place; The operation computer collects climate and weather related public data of the monitoring place from a public institution computer providing climate and weather related public data; building big data based on the water level measurement data and image data received by the operating computer; Generating inundation prediction data by grafting water level prediction data using artificial intelligence algorithms and collected public data related to climate and weather from the big data in which the operating computer is built to geographic information of the place; generating the water level prediction data and the flood prediction data generated by the operating computer as flood prediction visualization content; The operation computer transmits and outputs the flood prediction visualization content generated by the operating computer to at least one content output device including a digital signage device installed in the monitoring place; The digital signage device normally outputs content related to local information and information on changes in surrounding environmental conditions of the digital signage device, and when water level prediction or flood prediction visualization content is received, the current screen of the digital signage device is displayed as disaster/disaster. It is characterized by converting to a content reduction screen to quickly deliver disaster/disaster information and additional information to people around in real time.

The embodiments of the present invention described above are only some of various embodiments. Real-time water level data measured by water level sensors at the monitoring site and video data taken by video cameras including CCTVs are imported and applied to artificial intelligence algorithms to generate water level prediction data, and monitoring sites collected from public institution computers Inundation prediction data is created by combining public climate and weather data with geographic information (GIS) of the region, and water level prediction or flood prediction visualization contents are created based on the water level prediction data and flood prediction data, and installed at the monitoring location. It is natural that various embodiments included in the technical idea of delivering disaster situation and disaster prediction information in real time by outputting them to a digital signage device with a screen interrupt function or delivering them to a web/mobile output means fall under the protection scope of the present invention. do.

1000: operating computer
2000: Data storage device
3000: water level data collection device
4000: image data collection unit
5000: public data provision unit
6000: content output device unit

Claims (10)

Receives real-time water level measurement data and captured image data, receives climate and weather-related public data, generates accurate water level prediction data by using artificial intelligence algorithms based on the received water level measurement data and image data, and generates accurate water level prediction data based on the received public data Data and geographic information data are used to generate flood prediction data, and based on the generated water level prediction data and flood prediction data, water level prediction or flood prediction visualization contents and related disaster forecasting and warning related contents are created, digital signage An operating computer that provides and manages various output means including devices;
It is connected to the operating computer or is included in itself, and stores real-time water level measurement data, image data, and public data received by the operating computer, and stores water level prediction data and flood prediction data generated by the operating computer, , a data storage device for storing water level prediction or inundation prediction visualization contents generated by the operating computer;
a water level data collection device unit that is connected to the operating computer and transmits data obtained by measuring the water level in a corresponding location in real time to the operating computer, including at least one water level measuring sensor installed at the monitoring location;
An image data collection device that is connected to the operating computer and transmits image data captured in real time of the environment including the water level of the corresponding location to the operating computer, including at least one video camera including a CCTV installed at the monitoring location. wealth;
a public data providing unit including at least one public institution computer that provides public data so that the operation computer can collect data related to climate and meteorological information through communication means;
A content output device including a digital output device such as a digital signage, a smart phone or a dedicated terminal that is connected to the operating computer and receives and outputs water level prediction or flood prediction content and disaster forecasting and warning content generated by the operating computer. Big data-based flood forecasting, warning and prevention system using CCTV and signage. The method of claim 1,
The operating computer builds big data based on the received water level measurement data and image data, and generates water level prediction data using an artificial intelligence algorithm from the built big data. Big data using CCTV and signage, characterized in that based flood warning and prevention system. The method of claim 1,
In the artificial intelligence algorithm for generating the water level prediction data, a flooded region of interest is selected from the received water level measurement data and image data, and the degree of flooding is determined using color values of the image data, and water level prediction data is generated based on this Big data-based flood forecasting warning and prevention system using CCTV and signage, characterized in that. The method of claim 3,
The operating computer reflects the generated water level prediction data with condition information for each region and applies geographic information (GIS) to perform a flood simulation test, and then converts the flood prediction data to geographic information (GIS) based on the results of the flood simulation test. Big data-based flood forecasting, warning and prevention system using CCTV and signage, characterized in that it is created as visualization content through The method of claim 1,
The creation of water level prediction or flood prediction visualization content in the operating computer is performed by mapping public data including flood traces, real-time rainfall, and past hourly rainfall in a specific region to geographic information (GIS) of the region Big data-based flood forecasting, warning and prevention system using CCTV and signage. The method of claim 1,
At least one water level measuring sensor of the water level data collection device unit is a float level meter for measuring the level according to the movement of the float, a radar pulse reflection type radar level meter, and a pressure type water level meter, characterized in that CCTV and signage Utilized big data-based flood forecasting, warning and prevention system. The method of claim 1,
At least one video camera of the video data collection device unit is a big data-based flood forecasting warning and prevention system using CCTV and signage, characterized in that the CCTV is already installed in the monitoring place. A data management computer that manages big data and analysis by receiving real-time water level measurement data and climate and weather-related public data of the monitoring site, and video management that receives video data from the monitoring site and manages video/image data Based on the computer, the water level measurement data provided by the data management computer, and the video/image data provided by the video management computer, an artificial intelligence algorithm is used to generate accurate water level prediction data at the monitoring site and public data provided by the data management computer. Based on the generated water level prediction data and flood prediction data by generating flood prediction data using geographic information and data, a web operating computer that creates visualization contents and related contents related to disaster forecasting and warning, provides them to various display means, and manages them. An operating computer unit including a;
A collection data storage device connected to or included in the data management computer and storing real-time water level measurement data received by the data management computer and public data collected from at least one public institution computer, and the image management computer A video/image storage device that stores captured image data and image data of the monitoring location received by the video/image storage device, and a content storage device that stores flood prediction visualization content generated by the web operating computer based on the generated water level prediction data and flood prediction data A data storage unit including a;
a water level data collection device unit that is connected to the data management computer and transmits data obtained by measuring the water level at a location in real time to the data management computer, including at least one water level measurement sensor installed at the monitoring location; At least one video camera including a CCTV connected to the video management computer and installed at the monitoring site transmits image data captured in real time of the environment including the water level at the site to the video management computer 200 An image data collection device unit that does; a public data providing unit including at least one public institution computer that provides public data so that the data management computer can collect data related to climate and meteorological information through communication means; A content output device including a digital output device such as a digital signage, a smart phone or a dedicated terminal that is connected to the web operating computer and receives and outputs flood prediction contents and disaster forecasting and warning contents generated by the web operating computer. Big data-based flood forecasting, warning and prevention system using included CCTV and signage. According to claim 1 or claim 8,
It manages set-top device information that controls the operation of digital signage devices for advertising/promotion installed in each monitoring place, and can output water level prediction or flood prediction visualization contents using screen interrupt means, and communicates with the set-top device It manages information of environmental state detection devices including connected CCTVs, collects information on changes in the public environment related to disasters/disasters and the environment in a specific area, collects environmental state detection data provided from the set-top device, and through a social network Collect environment-related interest data, manage environmental status contents edited in a form to output the collected public environment change information, environmental state detection data, and environment-related interest data to digital signage devices, and output schedules for environmental status contents A big data-based inundation warning and prevention system using CCTV and signage, further comprising a content management means for setting and providing the environmental state content to the set-top device together with set schedule information. The method of claim 9,
The digital signage device has a display area, and in the display area, a flood prediction visualization content area of the monitoring place output to the entire display area of the digital signage, and a disaster in the form of text output to a predetermined portion of the flood prediction visualization content area. A situation propagation message area, a climate and weather condition information area of the digital signage device installation area output to a predetermined portion of the flood prediction visualization content area, and disaster information and disaster action tips output to a predetermined portion of the display area, etc. A big data-based flood forecasting warning and prevention system using CCTV and signage, characterized in that it includes a guidance information area displaying a notice of.

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