KR20140024541A - System for providing atmospheric modeling system service - Google Patents

Abstract

The present invention relates to a system for providing an atmospheric modeling service which includes: a database unit for storing atmospheric data, geographic data, the data of emissions from each pollution source, all of which are obtained from the outside, and the user information of members; an atmospheric modeling module for generating an atmospheric model based on the atmospheric data and geographic data; an emissions data modeling module for generating an emissions model which includes spatial distribution, temporal distribution and chemical distribution of each pollution source based on the data of emissions from each pollution source and the generated atmospheric model; an atmospheric modeling module for generating an atmospheric model which includes a degree of pollution in the past, present and future based on the atmospheric model and the emissions model; a preprocessing module for converting the formats of the atmospheric data, geographical data and the data of emissions from each pollution source into formats which each modeling module can process;a model verification module for verifying the atmospheric model, the emissions model and the atmospheric model; and a member service module for providing an analysis result after receiving and analyzing model conditions, predicted future conditions and requests from the user terminals of members, and providing the generated atmospheric model to the user terminal of members. According to the present invention, time and economic costs incurred by the data preprocessing of a user can be reduced by building various input data formats and complicated model operating methods into one system, and the competitiveness of a user can be enhanced due to the reduction in time spent on the operation of a model according to the characteristics of each model. [Reference numerals] (110,AA) First sensor; (120,BB) Second sensor; (20) Preprocessing module; (30) Weather modeling module; (40) Emissions data modeling module; (50) Atmospheric modeling module; (60) Member service module; (70) Model verification module; (80) Atmosphere observation module

Description

Atmospheric modeling service provision system {SYSTEM FOR PROVIDING ATMOSPHERIC MODELING SYSTEM SERVICE}

The present invention provides a service by modeling the degree of pollution by air pollutants for the past, present and future using a weather model using topographic and meteorological data and an emission model for calculating point, line, and surface pollutant emissions. It is about.

Air pollution is caused by the presence of one or more of the pollutants that are artificially released into the atmosphere, causing the amount, concentration, and duration of the pollutants to be offensive to an unspecified majority in the area, or to endanger the public health hazards of humans or animals. In other words, it means a condition that harms the activity of the plant.

Air quality modeling is used to predict pollutant concentrations and deposits on reactive and non-reactive materials in order to simulate the impact of all sources on air quality in large areas. The Eulerian model is used to subdivide the three-dimensional space into multiple grids, calculate the advection, diffusion, and chemical reaction processes for each grid to calculate the three-dimensional distribution of pollutants and the time change.

The method of predicting the air pollution state through the air quality modeling, there are conventional techniques to model using weather, terrain, pollutant emission data. However, the prior art has been modeled using complex topography and weather pretreatment and complex calculations for each source. In addition, each model has a variety of input forms of terrain data, meteorological data and source data, and the type and operation method of the model has a complex structure, which makes it difficult for non-experts to easily use.

And, when the air model is completed, a procedure for verifying the designed air model is required. In the conventional case, verification by feedback information based on air quality measurement information is performed, but air quality measurement information is not accurate due to a measurement sensor error. There is a problem that can not be accurate verification.

In addition, for more accurate atmospheric modeling, the concentration of pollutant must be accurately measured or input. When measuring the concentration of pollutant, measurement error may occur depending on the weather condition. There is a case that cannot be reflected.

In addition, since the topographic information used for weather modeling is based on the current map information, there is a problem in that reliability of future air pollution modeling is deteriorated because it cannot reflect future topographical changes or regional characteristic changes due to regional development. .

The present invention was devised to solve the above problems, and an object of the present invention is to implement a system for integrating a complex operation method according to various types of input data types and models into one system. It is to be able to easily implement various models by connecting to the system.

Another object of the present invention is to provide a more reliable atmospheric modeling system by enabling a more accurate verification of the appropriateness of the atmospheric modeling through a double verification process.

It is still another object of the present invention to provide accurate pollutant concentrations for atmospheric modeling by minimizing measurement errors due to weather conditions.

Another object of the present invention is to improve the reliability of the future air pollution modeling by providing a model that reflects the change of regional characteristics according to the current or future terrain changes or regional development through policy information analysis.

According to a preferred embodiment of the present invention for achieving the above object,

An atmospheric modeling service providing system, comprising: a database unit for storing weather data, terrain data, emission data for each pollutant source, and user information of members, and a weather model for generating a weather model based on the weather data and terrain data A modeling module, an emission modeling module for generating an emission model including a spatial distribution, a temporal distribution, and a chemical species distribution of each pollutant based on the emission data for each pollutant and the generated weather model, and the weather model and the emission model. An air modeling module for generating an air model including past, present and future air pollution levels, and a format in which each modeling module can process formats of the meteorological data, terrain data, and emission data for each pollutant. Preprocessing module for converting to a format, said A model verification module for verifying the top model, the emission model and the atmospheric model, and when model conditions, future prediction conditions and requirements are received from the user terminals of members, analyze them and provide the analysis results to each modeling module. Provided is a standby modeling service providing system comprising a member service module for providing a user terminal of the member.

Here, the database unit stores policy information data on information related to a regional development policy, and the weather modeling module preferably reflects changes in terrain or regional characteristics according to the regional development policy when generating a future weather model. Do.

The apparatus may further include a large engine module configured to collect atmospheric observation information through a first sensor installed in an area to which the atmospheric model is to be generated, and a second sensor that detects the same information as the first sensor. The standby model is verified based on the measured value of the first sensor, and if there is an error in the standby model, the standby model is re-validated based on the measured value of the second sensor. Transmits an abnormality of the first sensor to the large engine side module, and if an error exists again, provides an average value of the measured values of the first sensor and the second sensor to the meteorological modeling module based on the provided value. It is more desirable to regenerate the.

In addition, as the first and second sensors, it is more preferable to use sensors in which resistance characteristics of the sensor with respect to the measurement object are opposite to each other.

Further, the first and second sensors include a gas concentration sensor for detecting a concentration of a gas pollutant, and the large-engine side module includes a concentration of a specific inert gas in the atmosphere measured at a predetermined atmospheric pressure and a predetermined time. It is more preferable to calculate the ratio between the concentrations of the specific inert gas in the atmosphere measured by using as a correction coefficient, and multiply the measured concentration of the gas pollutant by the correction coefficient to calculate the concentration of the gas pollutant in the atmosphere.

The mobile cloud server may further include a mobile cloud server for storing and providing a cloud application for providing a mobile cloud service, wherein the mobile cloud server is based on user information received from the member service module when the mobile terminal is connected as the user terminal. By identifying the mobile cloud service for the member, it is possible to provide an atmospheric modeling service application according to the identified mobile cloud service to the user terminal.

The present invention is expected to reduce the time and economic cost required for user data preprocessing by integrating various types of input data types and complex model operation methods into one system, and to operate models according to the characteristics of each model. As the period of time is reduced, there is an effect that can contribute to strengthening the user's competitiveness.

In addition, according to the present invention, it is possible to provide reliable atmospheric modeling for the present and future through accurate verification of atmospheric modeling, accurate pollutant concentration measurement, and policy information reflection.

1 is a block diagram of an atmospheric modeling service providing system according to the present invention.
FIG. 2 is a block diagram illustrating an internal configuration of the standby modeling service server of FIG. 1.
3 is a detailed configuration diagram of the database unit of FIG. 1.
4 is a flowchart illustrating a process of performing standby model verification according to the present invention.
5 is a flowchart illustrating a process of calculating a gas pollutant concentration using a correction factor.
6 is a system configuration diagram for providing an atmospheric modeling service to a mobile terminal through a mobile cloud service.

1 is a block diagram of an atmospheric modeling service providing system according to the present invention.

As shown in FIG. 1, the standby modeling service providing system according to the present invention includes a user terminal 1 and an atmospheric modeling service server 3.

The user terminal 1 is a terminal provided by a member who wants to receive a standby modeling service, and may include various mobile devices such as a mobile phone and a smart phone in addition to devices such as a PC and a notebook. Here, the member may be a business owning a factory that emits a pollutant or an individual such as a policy planner or a researcher. The user accesses the atmospheric modeling service server 3 through the user terminal 1 and inputs items necessary for modeling, for example, a modeling area, a grid size, a modeling period, an emission source, and emission information.

Atmospheric modeling service server 3, when there is a request for atmospheric modeling service for a specific area from the user terminal 1, based on the conditions and input information input by the user, the weather information, terrain status and pollutant emission status information of the specific area. Provide information on source spreads for the past, present, and future of the area.

Here, the pollutant emission status information may be provided from the user terminal 1 or may use measurement information of a sensor installed in a corresponding region.

The database unit 10 is a storage device held by the atmospheric modeling service server 3, and stores weather data, terrain data, emission data for each pollutant, and user information of members.

The database unit 10 includes a weather data DB 11 for storing weather data in detail, a terrain data DB 12 for storing terrain data, a policy information DB 13 for storing policy information related to local development, and an atmospheric model. It comprises an emission data DB (14) for storing the emissions of pollutants in the region to be established and a user information DB (15) for storing member information.

Here, the weather data may include information such as temperature, humidity, precipitation, wind speed, wind direction, sunshine, air pressure, fog, etc., and the terrain data may include boundary data for each city, population data for each district, aviation data, harbor data, and road network data. , Railroad data, urban area classification data, industrial area information, land use information, and the like.

In addition, the source information includes emission list data divided into point sources, cotton sources, line sources, and mobile sources according to the source classification system, where point source data include SCC code, UTM coordinates, elevation above sea level, chimney height, and chimney. Diameter, chimney temperature, discharge rate, NOx amount, SOx amount, CO amount, TSP amount, VOC amount, etc. The surface discharge data and pre-emission source data are, for example, SCC code, UTM coordinates, NOx amount, SOx amount, CO amount , Amount of TSP, amount of VOC, etc., and a moving discharge source means a vehicle that generates a pollution source while moving.

2 is a block diagram illustrating an internal configuration of the standby modeling service server of FIG. 1, FIG. 3 is a detailed configuration diagram of the database unit of FIG. 1, FIG. 4 is a flowchart illustrating a process of performing standby model verification according to the present invention, and FIG. A flowchart illustrating a process of calculating a gas pollutant concentration using a correction factor.

Referring to FIG. 2, the atmospheric modeling service server 3 of the present invention basically includes a pretreatment module 20, a weather modeling module 30, an emission modeling module 40, an atmospheric modeling module 50, and a member service module ( 60).

The preprocessing module 20 converts the format of the weather data, the terrain data, and the emission data for each pollutant into a format that can be processed by the modeling module.

The weather modeling module 30 generates a weather model based on the weather data and the terrain data. The 3D weather field and various weather data are generated, and the data is used as input data of the atmospheric model and the emission model.

The emission modeling module 40 generates an emission model including a spatial distribution, a temporal distribution, and a chemical species distribution of each pollutant based on the emission data for each pollutant and the generated weather model. If the user discharges the polluted gas, the user accesses the atmospheric modeling service server 3 through the user terminal 1 and inputs local information and pollutant emission information to be modeled, and the emission modeling module 40 Based on this, an emission model is generated.

The air modeling module 50 generates an air model including past, present and future air pollution levels based on the weather model and the emission model. Since the atmospheric model is the same as that disclosed in Korean Patent Publication No. 10-2009-0098127, 10-2011-0128511 and the like, a detailed description thereof will be omitted.

The member service module 60 analyzes the model conditions, future prediction conditions and requirements from the user terminals of the members, and provides the analysis results to the modeling modules 30, 40, and 50, and provides the generated standby model to the members. To the user terminal 1 of them. More specifically, the user as a member inputs the necessary information for modeling the atmosphere, that is, the modeling area, the size of the grid, the modeling period, the emission source and the emission information, and inputs the necessary prediction conditions while the modeling is performed. In addition, if the user defines and inputs the desired requirements, the requirements for the analysis are analyzed and modeling is performed after the analysis is completed.

As shown in FIG. 2, the atmospheric modeling service server 3 of the present invention may further include a model verification module 70 and an atmospheric observation module 80.

The model verification model 70 is for verifying a weather model, an emission model and an atmospheric model, and the atmospheric observation module 80 collects measurement data from a sensor installed in an area where an atmospheric model is to be generated. To provide.

Here, the sensor installed in the area to generate the atmospheric model can be used a variety of sensors according to the observation target, each sensor is used two sensors (110, 120) to detect the same information, two sensors It is preferable to use sensors whose resistance characteristics of the sensor with respect to the measurement object are opposite to each other. For example, when a sensor is a temperature sensor, one sensor may use a PTC (Positive Temperature Coefficient) sensor and a NTC (Negative Temperature Coefficient) sensor in which a temperature and a resistance value are proportional to each other. By using sensors having different characteristics as a set, it is possible to prevent an error in sensor detection value according to an external condition, and there is an advantage of solving a problem of sensor detection value manipulation due to a negative sensor operation.

The process of verifying the standby model in the model verification module 70 will be described with reference to FIG. 4 as follows.

First, when the model verification module 70 receives the first measurement value of the first sensor 110 from the atmospheric observation model 70 (S10), the model verification module 70 verifies the standby model based on the first measurement value (S20). Here, the standby model verification is used to determine the measured values of several types of sensors instead of one sensor, and confirms whether the result value when simulating the standby model matches the measured values of the plurality of first sensors 110. This is done through the process.

 As a result of the atmospheric model verification based on the first measured value, if there is an error, the same physical value is measured as the first sensor, and after receiving values having opposite resistance characteristics to the physical quantity to be measured (S30), step S20. In step S40, the standby model is verified.

As a result of the re-validation, if there is no error in the standby model, it is determined that the first sensor 110 has an error and the large engine side module 80 is notified of the abnormality of the first sensor 110. ) Will notify the administrator (S50).

As a result of re-validation, if there is still an error in the atmospheric model, the average value of the two sensors 110 and 120 is provided to the atmospheric modeling module 50 (S60), and the atmospheric modeling module 50 receives the received two sensors ( The atmospheric model is regenerated using the average values 110 and 120 (S70).

On the other hand, the first and second sensors 110 and 120 may include a gas concentration sensor for detecting the concentration of the gas pollutant, and if the gas concentration is not high, a measurement error occurs according to the air pressure fluctuation at the time of measurement. In order to eliminate such measurement errors, a calibration or calibration operation may be required, which may cause a problem in which real-time processing is difficult. In the present invention, the atmospheric observation module 80 detects the accurate gas concentration sensor through the procedure as shown in FIG. 5.

This will be described in detail with reference to FIG. 5 as follows.

First, the concentration of a specific inert gas is detected at the set pressure (S510). Since the inert gas is not emitted by a person's daily life or industrial activity, the concentration of the specific inert gas is detected at a predetermined atmospheric pressure to take advantage of the property that the concentration in the atmosphere is kept almost constant. As the inert gas, an inert gas such as neon or argon may be used.

When the concentration of the inert gas at the set atmospheric pressure is detected, the concentration of the inert gas is detected at an arbitrary time (S520).

Next, the ratio N ₂ / N ₁ between the gas concentration N ₁ detected in step S510 and the gas concentration N ₂ detected in step S520 is calculated as a correction factor (S530).

Thereafter, the concentration of the gas pollutant to be measured at an arbitrary time is measured (S540), and the corrected gas pollutant concentration reflecting the air pressure fluctuation factor is calculated by multiplying the measured concentration value by the correction coefficient (S550).

6 is a system configuration diagram for providing an atmospheric modeling service to a mobile terminal through a mobile cloud service.

As illustrated in FIG. 6, the present embodiment further includes a mobile cloud server 4 storing and providing a cloud application for providing a mobile cloud service for the mobile cloud service.

When the mobile terminal is connected as the user terminal 1, the mobile cloud server 4 identifies the mobile cloud service for the member based on the user information received from the member service module 60, and then determines the mobile cloud service. A standby modeling service application according to the present invention is provided to the user terminal 1.

In FIG. 6, the user terminal 1 relates to a case where a mobile terminal such as a mobile phone, a smart phone, a notebook computer, or a PMP is used. Although not shown in the drawing, the user terminal 1 accesses the mobile cloud server 4 to obtain a cloud application. And one of the mobile cloud terminal platform and the local platform according to a mobile cloud terminal platform providing a mobile cloud service using a cloud application, a local terminal platform running a local application embedded in the mobile terminal, and a user setting environment. It is configured to include an operating system to select and drive.

Accordingly, the user terminal 1 accesses the mobile cloud server 4 in real time even if there is no large-capacity program or data for air modeling in the mobile terminal with limited resources, and provides modeling result data such as a change in the air pollution trend of the desired area in real time. You will be provided.

1: User terminal 2: Internet
3: standby modeling service server 4: mobile cloud server
10: database unit 11: weather data DB
12: terrain data DB 13: policy information DB
14: emission data DB 15: user information DB
20: pretreatment module 30: weather modeling module
40: emission modeling module 50: atmospheric modeling module
60: member service module 70: model verification module
80: atmospheric observation module 110, 120: sensor

Claims (6)

In the atmospheric modeling service providing system,
A database unit for storing weather data, terrain data, emission data for each pollutant, and user information of members received from the outside;
A weather modeling module for generating a weather model based on the weather data and the terrain data;
An emission modeling module for generating an emission model including a spatial distribution, a temporal distribution, and a chemical species distribution of each pollution source based on the emission data for each pollution source and the generated weather model;
An air modeling module for generating an air model including past, present and future air pollution levels based on the weather model and the emission model;
A pre-processing module for converting the format of the weather data, the terrain data, and the emission data for each pollutant source into a format that can be processed by each modeling module;
A model verification module for verifying the weather model, the emission model and the atmosphere model; And
When the model conditions, future prediction conditions and requirements are received from the user terminal of the members, the analysis results are provided to each modeling module, and the member service module for providing the generated standby model to the user terminal of the member, characterized in that it comprises a Atmospheric modeling service providing system.
The method of claim 1,
The database unit stores the policy information data about the information related to the regional development policy,
The meteorological modeling module is a system for providing atmospheric modeling services, characterized in that the changes of the topography or regional characteristics according to the regional development policy when generating a future weather model.
The method of claim 1,
And a large-sized engine side module configured to collect atmospheric observation information through a first sensor installed in an area to which the atmospheric model is to be generated and a second sensor that detects the same information as the first sensor.
The model verifying module verifies the standby model based on the measured value of the first sensor, and if there is an error in the standby model, re-validates the standby model based on the measured value of the second sensor. A value provided by transmitting an abnormality of the first sensor to the module on the large engine side based on the atmospheric model, and providing an average value of the measured values of the first sensor and the second sensor to the meteorological modeling module if an error exists again And regenerate the atmospheric model based on the atmospheric modeling service providing system.
The method of claim 3, wherein
The first and second sensors, the atmosphere modeling service providing system, characterized in that the sensor is used that is opposite the resistance characteristics of the sensor to the measurement object.
The method of claim 3, wherein
The first and second sensors, the gas concentration sensor for detecting the concentration of the gas pollutant,
The large engine side module calculates, as a correction factor, a ratio between the concentration of the specific inert gas in the atmosphere measured at a predetermined air pressure and the concentration of the specific inert gas in the atmosphere measured at an arbitrary time, and the measured concentration of the gas pollutant source. And multiplying the correction coefficients to calculate a concentration of a gas pollutant in the atmosphere.
The method of claim 1,
Further includes a mobile cloud server for storing and providing cloud applications for providing mobile cloud services,
When the mobile terminal is connected as the user terminal, the mobile cloud server identifies a mobile cloud service for the member based on user information received from the member service module, and the standby modeling service application according to the identified mobile cloud service. Atmospheric modeling service providing system, characterized in that to provide to the user terminal.

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