KR20110128511A - 3d realtime airwatch system using web - Google Patents

Abstract

PURPOSE: A 3D real-time waiting management system using a web service is provided to effectively allocate resources by operating a weather modeling module and an air quality modeling module at the same time. CONSTITUTION: A weather modeling module(011) performs a middle-sized weather forecast modeling and a detailed modeling in order to improve the accuracy of a weather modeling. An atmospheric dispersion modeling module(012) inputs the meteorological data of the calculated modeling area in the weather modeling module. The atmospheric dispersion modeling module includes a 3D air quality dispersion modeling function.

Description

3D Real Time Air Management System using Web {3D Realtime AirWatch System using WEB}

The present invention is a web-based system for managing air and odors in real-time in the workplace and local governments, and integrating and operating meteorological modeling and air quality modeling, which requires high-volume calculations and expert knowledge as a system for emergency response in case of chemical spills. It is about a method that enables efficient resource distribution and continuous service and enables users to obtain high value information at low cost.

Most developed countries are actively developing air monitoring network information management and forecasting modeling technology related to the atmospheric forecasting system in order to utilize data collected in real time. It is operating together. However, active research is being conducted to expand the technology of air quality modeling in Korea, but air diffusion modeling is conducted at the research level through research institutes and universities, and it is difficult to use for environmental management in workplaces and industrial complexes.

Currently, in Korea, expensive cluster server must be installed and operated in order to perform each wind field modeling for each business site and institution, and high cost is required, and to maintain and manage the system, experts have to monitor all the time. There is a hassle to build a preprocessing and postprocessing program.

Therefore, in order to solve the above-described technical and physical problems, the present invention is configured to separately manage the server to perform the weather and air quality model in a central server, a number of business sites and local governments each site The purpose of this system is to provide real-time monitoring of the results through the web after the administrator provides the user's basic input data by inputting the ID and password into the homepage operated through the web.

In order to improve the accuracy of weather forecasting and air quality forecasting, by adding a module that calculates the weather field according to the altitude using 3D weather forecast data, modeling should be able to be applied more closely to actual natural phenomena and measured in the field. A meteorological data transmission / reception system should be established to use the real-time weather data in real time, and the geographic data and land use data from the GIS to the user area in order to provide the geographic data and land use data that meet the user's needs in various areas. It is necessary to configure the automatic extraction system to improve the accuracy of the three-dimensional weather field.

The modeling system consists of the first phase data collection, the second stage three-dimensional weather field calculation, the third stage dense area wind field calculation, the third stage air quality modeling, the fifth stage, and the post-processing stage of model results. It consists of a web server system that can be accessed, a user security module for user data security, and a display module for checking modeling results.

As described above, the present invention is to configure the modeling server by configuring the integrated modeling server in the main system and by configuring a web server to perform real-time modeling from the integrated modeling server remotely connected to a variety of users through the web In addition to the cost savings that can be achieved, it is possible to solve the difficulties that experts have to stay in for the improvement of modeling accuracy and the continuous service.

In addition, by applying continuous data update and technology development in one server in terms of the system that manages the modeling server, it is possible to continuously provide improved information to users who want to see the modeling results distributed in various regions. .

As a result, the user can monitor the contribution of pollutants emitted from the workplace in real time without any special technical skills, and can maintain the objectivity of the data by obtaining professional results through the agency. The data will help to solve the NIMBY phenomenon, and will be effective in terms of site maintenance in the long term.

1 is an overall schematic diagram of the invention in which the present invention may be implemented.
FIG. 2 is a flowchart illustrating a process of a weather modeling module, an atmospheric prediction modeling module, and a post-processing module to be operated in a modeling server.
Figure 3 is a step-by-step results for performing weather modeling.
Figure 4 is a step of extracting terrain data and land use to be input to the model from the GIS.
5 is a flow chart for configuring the air quality modeling input data in the weather modeling module.
6 is a conceptual diagram for transmitting and receiving weather data from the weather observation equipment to the weather collection server.
7 is a basic table configuration diagram for inputting a point source.
8 is a basic table configuration diagram for inputting the surface pollution source.
9 is an isoconcentration result represented on the web as a result of the modeling module.
10 is a time series analysis of points of interest represented on the web as a result of a modeling module.

Figure 1 is a schematic diagram of the overall invention.

In FIG. 1, when the user A 001 accesses the homepage 002 configured on the web through the Internet and registers as a member, the web server administrator approves membership registration, and accordingly, the user's workplace and point source specification ( 7) and the authority to access the management screen 003 for each user ID for inputting the surface contamination specification (FIG. 8). A user 001 is stored in the user-specific DB of the integrated modeling module 009 and used as input data for performing the atmospheric diffusion model 012.

In FIG. 1, not only A user 001 but also B user 004 and C user 006 subscribed in the same manner, respectively, when they subscribe to the homepage using their respective IDs and passwords, the management screen is tailored to each user's ID. 007 appears, and the input data is stored in the DB and the modeling result is derived using the respective input data when the atmospheric diffusion modeling module 012 is driven.

In the step of modeling, as shown in FIG. 1, when the weather data measured from the weather observation equipment 008 is stored by the weather data collection module 010, the weather modeling module 01 1 uses the data to determine the three-dimensional weather. Generate data. In the atmospheric diffusion modeling module 012, the atmospheric diffusion modeling is performed using the three-dimensional weather data calculated by the weather modeling module 011 and the source data inputted by each user (001, 004, 006) through the homepage. As a result, the isoconcentration curve for each user's area is derived as an image in the modeling image generation module 013. In addition, the modeling results store the contribution modeling results for each point of interest in the point of interest contribution concentration storage module 014 to search or display the modeling image and the point of interest contribution concentration results through the homepage at any time. It provides backup function for modeling result generated in this process.

2 is a step-by-step illustration of the internal data flow in the modeling server shown in FIG.

In order to perform air quality modeling, weather data, emission data, topography data, and land use data are required as input data. In addition, the weather data is applied to the module that calculates the three-dimensional wind field in order to be closer to the actual weather than the method using the data measured by the general weather observation equipment, for this purpose, the three-dimensional weather forecast data calculated in advance (101) ) Is required. The weather forecast data can be collected from global scale forecast data including East Asia, and as shown in Fig. 3, the East Asian metropolitan area 201, the Korean Peninsula wide area 202, and 5 generations are shown in FIG. Three-dimensional weather forecasting modeling 102 is performed in four stages in the regional regional meteorological field 203 and the target region detailed meteorological field 204.

The weather data generated by the 3D weather forecasting modeling 102 of FIG. 2 is to generate weather field data that is configured to be wider in the user's area, and to generate weather data to reflect more detailed terrain and land use of the region. Needs to be. This process will play a role in geospatial three-dimensional modeling (103), in this case, real-time AWS weather data 104, terrain data and land use 105 is required.

4 illustrates a process for generating topographical data and land-use maps required for 3D modeling 103 of the ground, and the basic input data is automatically generated by the national GIS 301 that includes regional topographical data. Extraction process is included. The GIS 301 including national topographic data as a digital map is configured by the present inventors, and the digital topographic data 302 according to the grid is separately configured, and the topographic data of the model area according to the modeling area that each user wants to be configured. 303 is generated. At this time, the process of generating the terrain data can be performed by extracting the data for all terrains with 100m resolution, and extracting the altitude of the coordinates one by one by applying spatial interpolation to the intermediate points.

The spatial interpolation method applied to extract the model region terrain data 303 of FIG. 4 applies a method of extracting an altitude corresponding to an intermediate point when the coordinates and the altitude values of four vertices are known.

The land use 304 for each grid extracted from the national GIS 301 of FIG. 4 is divided into finely divided grid areas in the extraction process, and then the land use which occupies the most frequency for each grid is determined as the final value. In order to extract the land use of 305, we defined the final land use applied at the nearest coordinates in the grid.

The model region topographical data 303 and the model region land-use map 305 generated as described above are extracted from values stored in the DB according to the coordinates, and reformatted into a predetermined format requiring input to the model to be reconstructed as model ready data 306. To produce.

6 is a diagram illustrating a process of collecting weather data required by a weather model. In order to utilize the model, a minimum weather sensor should be attached and the measurement should be made in real time. As the weather sensor, the wind direction sensor 501, the wind speed sensor 502, the temperature sensor 503, and the humidity sensor 504 should be configured to configure the data logger 505 for converting the result measured by the current value into the numerical value. do. The wind direction sensor 501 and the wind speed sensor 502 are generally attached to the uppermost part of the weather tower having a height of about 10 m, and the temperature sensor 503 and the humidity sensor 504 are attached at a height of about 1.5 to 2.0 m from the surface of the earth. Done. In the data logger 505 that stores data collected as a current value and converts it into a numerical value, the data logger 505 and the integrated weather collecting server are configured to use a wireless communication network to store the integrated weather collecting server 508 where the modeling server is located. 508, the transmitter CDMA 506 module and the receiver CDMA 507 constitute a system capable of transmitting and collecting weather data in real time.

All measured sensors are numbered to one decimal place and stored in the integrated weather collection server.

FIG. 5 shows measured surface meteorological data 403, measured high-rise weather data 404, and Model Ready Data terrain data 402, which are measured to generate detailed weather fields in a target region. 405) shows the step of generating.

As shown in FIG. 2, the weather source data generated through the three-dimensional modeling 103 is stored in a DB source data source 107 as a data in the format shown in FIG. 7, and the surface pollution source data source 108 is stored. 3D atmospheric diffusion modeling 106 is performed by storing data in a format as shown in FIG. In general, the result generated after performing atmospheric diffusion modeling is generated by the contribution time series concentration 110 and the equal concentration curve 109 for each source of interest at the point of interest. To provide services.

9 shows an example of the result of service through the homepage. When the date is selected (501) and the time is selected (502), the equal concentration result 504 for the past as well as the present time can be viewed. In addition, by adding an animation 503 function that can be seen continuously for a certain period of time was configured to more visually see the time when the concentration distribution changes with the wind.

FIG. 10 is a graph 701 which shows the contribution flow of each source for a certain period of time for a point of interest. The concentration change in the rectangular box for each source is represented by the flow of lines 702 by high and low concentrations. It is configured to see the change.

In other words, according to the present invention, the workplace can grasp the pollutants emitted from the workplace by minimizing the time and physical efforts such as a lot of cost and hardware, and can be seen on the web where the Internet is available from anywhere. It has the advantage of checking the data by accessing the ID, and developed an effective management system that can visually and spatially recognize the complaints.

001: A user PC
002: Homepage
003: Management screen composition by user ID
004: B user PC
005: Management screen composition by user ID
006: C user PC
007: Management screen composition by user ID
007: Meteorological observation equipment
009: Web Atmospheric Diffusion Modeling System
010: meteorological data collection module
011: Weather Modeling Module
012: Atmospheric Expansion Modeling Module
013: Modeling Image Generation Module
014: Point of Interest Contribution Concentration Storage Module
015: Backup device
101: 3D weather forecast data collection module
102: 3D weather forecasting model
103: 3D modeling module
104: Real-time AWS Weather Data Collector
105: terrain data and land use
106: 3D Atmospheric Diffusion Modeling Module
107: specifications of point source
108: Specification of Cotton Pollution Plant
109: isoconcentration curve
110: Contribution concentration by source of interest
201: East Asia Greater Areas
202: Greater Korean Peninsula
203: Local meteorological field in the five major regions
204: Detailed meteorological field
301: National GIS Data
302: Digital Terrain Data by Grid
303: terrain data for model area
304: land use by grid
305: Model area land use
306: Generation of dense resolution terrain and land use data
401: Detailed meteorological field
402: Dense resolution terrain and land use data
403: measured surface weather data
404: measured high-rise weather data
405: dense resolution three-dimensional weather data
501 wind direction sensor
502: wind speed measurement sensor
503: temperature measurement sensor
504: humidity measurement sensor
505: Datalogger
506: receiver CDMA
507: transmitter CDMA
508: integrated weather receiving server
601: Date setting screen
602: time setting screen
603: Animation function button
604: wind field and concentration field display screen
701: Time Series Analysis Screen
702: Time Series Analysis Graph

Claims (6)

In FIG. 1, a homepage 003 is constructed using the Internet, and several users input data according to the management screen configuration for each user to entrust modeling in the integrated modeling system 009, and the result (013, 014) system and method for displaying on homepage.
The integrated modeling system (019) consists of a meteorological data collection module (010), a weather modeling module (011), atmospheric diffusion modeling module (012), and generates a modeling image as a post-processing result (013) and points of interest A system that constructs a DB server that can store contribution concentrations (014) and displays the generated results on a web by user.
The weather modeling module (011) is a modeling module having a function that can perform medium-scale weather forecasting modeling and detailed scale modeling in three dimensions to improve the accuracy of weather modeling.
Atmospheric diffusion modeling module 012 is a three-dimensional model that can be configured in real time as the input data and the source data input from the dense area weather field of the modeling area calculated in the weather modeling module (011) as input data System composition method with air quality diffusion modeling function. In generating the weather data of the detailed area required for driving the weather modeling module (011) in claim 1, the East Asian wide area 201 shown in FIG. How to increase the accuracy of modeling results by calculating step by step to the meteorological field (203), detailed weather field (204) of the target area.
The spatial interpolation method for generating the terrain data 303 of the model region from the GIS of FIG. 4 in the process of generating input data for generating the dense area weather modeling weather data 405 of FIG. Model area Land use (305) method that can be calculated.
According to claim 1, the wind direction, wind speed, temperature, and humidity data measured by the weather observation equipment (FIG. 6) measured in the field to generate a dense area weather field is collected by the data logger 505 through the CDMA 506. A process and method for wirelessly transmitting and receiving and storing data through the integrated weather collecting module (508).
The method of claim 1 is plotted 604 on the map of the isoconcentration curve generated as a result of the three-dimensional atmospheric modeling, the date is specified, the data of the past period is searched, the animation is displayed, and the service is provided on the web.
Service method that can be found by searching the results of the point of interest generated as a result of the three-dimensional atmospheric modeling in claim 1 by the contribution time series flow chart 701 for each source on the web

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