KR101200377B1 - Method for providing information on location of forest fire and the system - Google Patents

Abstract

The present invention comprises the steps of: (a) generating a forest fire occurrence location data by matching the PNU code of the continuous map and the branch number of the forest fire statistics;

(b) creating an attribute table based on the generated forest fire occurrence location data and the schema of the forest fire statistics ledger; And

(c) providing a method of providing information on a wildfire occurrence location, comprising the step of providing a wildfire occurrence status by extracting a wildfire occurrence location on a cadastral map according to a user's request.

Forest Fire Location, PNU Code, Large Forest Fire

Description

Forest fire occurrence location information providing method and system for the same {METHOD FOR PROVIDING INFORMATION ON LOCATION OF FOREST FIRE AND THE SYSTEM}

The present invention relates to a method for providing forest fire location information and a system therefor. More specifically, the forest fire location information can be managed systematically, and the forest fire occurrence forecast and forest fire occurrence information and type can be systematically managed. The present invention relates to a method for providing forest fire location information that can provide an indicator of forecast data and a system therefor.

The recent increase in the standard of living and the increase in leisure time have led to an increase in the number of people visiting the mountains, and at the same time, the occurrence of forest fires has increased. Forests planted and cared for by the whole nation's devotion continue to be devastated by forest fires. In addition, forests are becoming dense and forest fires are becoming larger and larger, and the difficulty of extinguishing fires is increasing, and the prevention of forest fires is an important and urgent situation along with the countermeasures against fire due to the increase of human injury caused by forest fires.

Accordingly, in order to prevent forest fires, excluded countries are operating their own forest fire risk forecasting systems. In the United States, forest fire research began in 1913, and the National Forest Fire Risk Forecast (NFDRS) has been conducted since 1978. In Canada, forest fire research began in 1925, and the Canadian forest fire risk assessment system was developed in 1970. )

In Korea, the forest fire risk forecasting system using the fuel humidity measuring rod was started for the period 1994-1996, and it has been applied to 23 areas including Seoul since 1997. However, there is still no systematic and scientific forecasting of forest fire risks early, and there is a widespread fist-fire forest fire administration due to the lack of policies and research on forest fire prevention and evolution.

Under these circumstances, the recent trends of wildfires in Korea include large-scale wildfires in the East Coast wildfires in 2000, the largest coastal fires since 2000, the Cheongyang and Budget in the west coast in 2002, and Yangyang in 2005. The possibilities are increasing.

As the size and incidence of forest fires are increasing nationwide, the location information of forest fire occurrences has not been systematically managed so far. Therefore, a lot of time is required to obtain basic data for forecasting forest fire risks by region or time. As it is necessary, it is urgent to systematically manage the location of forest fires in order to operate a more efficient forecasting system early.

The present invention has been made to solve the problems of the prior art as described above,

The purpose is to systematically manage forest fire location information and to provide information on forest fire location information that can provide forest fire risk prediction and indicators through systematic construction of spatial information such as forest fire occurrence information and type. Is in.

Another object of the present invention can provide forest fire occurrence location information that can systematically manage the forest fire occurrence location information, and can provide an indicator of forest fire risk prediction and prediction data through the systematic construction of spatial information such as forest fire occurrence information and type In providing a system.

The technical problem of the present invention as described above is achieved by the following means.

(1) (a) generating a forest fire occurrence location data by matching the PNU code of the continuous map and the number of the forest fire statistics ledger;

(b) creating an attribute table based on the generated forest fire occurrence location data and the schema of the forest fire statistics ledger; And

(c) a method for providing information on a wildfire occurrence location, comprising the step of providing a wildfire occurrence status by extracting a wildfire occurrence location on a cadastral map according to a user's request.

(2) The method of claim 1,

Forest fire occurrence location of step (c) is a year, time, monthly, or seasonally providing information of the forest fire occurrence location, characterized in that provided as the location of the occurrence of forest fires.

(3) The method of paragraph 2,

Forest fire occurrence position information providing method of the forest fire occurrence position, characterized in that provided as an equivalent diagram.

(4) The method of paragraph 1,

A method for providing information on a fire occurrence location, comprising information on a large forest fire in an attribute table.

(5) The method of paragraph 1,

(d) further editing the attribute table of step (b), wherein the editing step

(d1) selecting a layer related to the wildfire occurrence position;

(d2) displaying forest fire location points or polygons on a map displayed on the selected layer;

and (d3) modifying a specific attribute in an attribute table corresponding to the point or polygon.

(6) the method of paragraph 1,

The information providing method of the fire occurrence location, characterized in that it further comprises information on the forest fire risk index in the attribute table.

(7) The fire risk index of paragraph 6,

(e1) dividing the whole country into unit grids of a predetermined interval, and extracting a meteorological risk index for each unit grid from weather information received for each unit grid;

(e2) extracting a topographic risk index and a clinical risk index from the topographic information and the clinical information for each unit grid; And

(e3) The forest fire risk index for each unit grid is extracted from the extracted weather lattice, topographic risk index and clinical risk index for each unit grid, and are provided in real time as attribute information corresponding to the PNU code existing in the unit grid. Information providing method of the fire occurrence location, characterized in that the loss.

(8) a continuous map DB server providing information in a PNU code;

Forest fire statistics book DB server that provides the number of the forest fire occurrence location;

According to the conditions set by the user and the wildfire occurrence location data generation unit for generating a forest fire occurrence location data by matching the PNU code provided from the continuous map DB server and the number of the forest fire occurrence location provided by the forest fire statistics database DB server A main server including a forest fire occurrence status extraction unit for extracting the forest fire occurrence location on a cadastral map in a format;

Forest fire generation information providing system comprising a.

(9) The method according to 8,

Forest fire occurrence location is an information providing system of the forest fire occurrence position, characterized in that it is provided as a generation location of forest fires by year, time, month, or net.

(10) The method according to 8,

A weather information providing server that divides the whole country into unit grids at a predetermined interval and provides weather information for each unit grid;

A terrain information providing server providing terrain information for each unit grid;

Clinical information providing server for providing clinical information for each unit grid; And

Weather hazard index extraction means for extracting a weather hazard index from the weather information received from the meteorological information providing server, terrain hazard index extraction means for extracting a terrain hazard index from the terrain information received from the terrain information providing server, and the clinical information Forest fire occurrence location information further comprises a forest fire risk prediction server including a clinical risk index extraction means for extracting a clinical risk index from the clinical information received from the providing server, each forest grid risk index for each unit grid from the index Providing system.

According to the present invention, forest fire occurrence location information can be managed systematically, and through the systematic construction of spatial information such as forest fire occurrence information and type, it is possible to provide an indicator of forest fire risk prediction and prediction data.

Hereinafter, the content of the present invention will be described in more detail.

(a) generating a forest fire location data by matching the PNU code of the continuous map and the site number of the forest statistics;

(b) creating an attribute table based on the generated forest fire occurrence location data and the schema of the forest fire statistics ledger; And

(c) providing a method for providing information on a location of a fire occurrence location, comprising: extracting and providing a forest fire occurrence location on a cadastral map according to a user's request.

Also,

A continuous map DB server that provides information in a PNU code;

Forest fire statistics book DB server that provides the number of the forest fire occurrence location;

According to the conditions set by the user and the wildfire occurrence location data generation unit for generating the forest fire occurrence location data by matching the PNU code provided from the continuous map DB server and the number of the forest fire occurrence location provided from the forest fire statistics database DB server A main server including a forest fire occurrence status extraction unit for extracting the forest fire occurrence location on a cadastral map in a format;

It provides a system for providing information of a fire occurrence location including a.

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

1 is a configuration diagram of an information providing system of a forest fire occurrence position according to the present invention, the information providing system of the present invention includes a continuous map DB server 10; Forest fire statistics DB server 20; Forest fire occurrence location data generation unit 31, forest fire occurrence status extraction unit 32 and the main server 30 including an interface 33.

The continuous cadastral map DB server 10 is a server that registers and manages a PNU code, which is a code value unique to each branch of a country. As shown in FIG. 2, the PNU code is a city code (2 digits), a city and district code (3 digits), a town code (3 digits), a recode (2 digits), a code for checking whether the mountain is present (1 digit), and the main code. (4 digits) and the minor code (4 digits) are made up of a total of 19 digits. According to this, it is possible to manage by matching the location of each branch of the country as a 19-digit code 1: 1.

The forest fire statistics ledger DB server 20 stores and manages the branch number information on the location of forest fires generated from the past to the present, and attribute information (the cause, timing, damage area, etc.) of the forest fire occurrence point.

The wildfire occurrence location data generation unit 31 constituting the main server receives the PNU code of each branch provided from the continuous map DB server 10 and the branch number of the wildfire occurrence location provided from the wildfire statistics book DB server 20. Generates the location of wildfire occurrence by matching. Therefore, the information on the location of wildfire occurrence, which has been managed by simply text information, is matched with the PNU code to enable spatial data.

In addition, the wildfire occurrence position data generation unit 31 creates an attribute table based on the generated forest fire occurrence position data and the forest fire statistics schema. That is, attribute data about wildfire occurrence at the location is created in the wildfire occurrence location data that is matched with PNU code in a spatial table, and it is possible to extract and display the wildfire issuance state according to the user's request on the cadastral map. .

The forest fire occurrence state extracting unit 32 extracts the forest fire occurrence position and attribute data according to a method required by the user, displays the extracted forest fire occurrence position on a map, and the attribute data at the corresponding position is linked and referred to. To be possible.

The forest fire occurrence location information according to the present invention may be provided as a generation position of forest fires by year, period, month, or net season. In other words, when a user wants to know the occurrence status of a forest fire occurring in a specific region in a specific year, the user can receive the desired data by specifying a condition for the request and requesting the main server through the interface 33.

3 is a combination of spatial data of fire occurrence location data according to the present invention on a map provided by the GPS to indicate the location of the fire occurrence occurred so far nationwide.

4 is an exemplary view showing detailed forest fire occurrence information for each forest fire occurrence position. Referring to this, the forest fire occurrence position up to the present in a specific region is displayed, and the attribute data at each position is described with reference to the attribute table described above. For example, the date and time of occurrence of the forest fire. Information such as occurrence location, damage situation, forest fire risk index, temperature, humidity, and wind direction can be obtained. Therefore, it is possible not only to superimpose and spatialize the wildfire occurrence position in a specific area on the map provided by GPS, but also to view the attribute at each position. In addition, it is possible to display only the location where a large forest fire occurred on the map by a separate display method. Attributes related to large forest fires can be registered by adding the related matters to the attribute table, and a separate large forest fire DB can be installed and linked, and it can be easily displayed on a map by referring to these attributes. have.

Figure 5a shows an embodiment when a user accesses the main server to search for a fire location. Referring to this, the user inputs a condition for each administrative region and a condition for a period in a forest fire occurrence location search box, and requests a forest fire occurrence state according to the condition to the main server. According to the request, as shown in FIG. 5B, the main server displays the occurrence location of the wildfire occurring in the requested region and period on the map, and shows the year sequence, the monthly sequence, and the date and time of each forest location as a separate window. Year, month, day, time, day of the week) and other properties.

FIG. 6 shows an example of creating an isotropic diagram when a user requests a forest fire occurrence search. When the user selects the year or period of interest through the search box and requests the creation of the isoline, the main server extracts the frequency of the forest fire corresponding to the input condition and generates an isoline diagram and outputs the same to the user monitor. According to this, the occurrence frequency of forest fires in all or certain periods in the whole country or in specific regions can be clearly identified on the map.

Figure 7 is an embodiment showing the frequency of wildfire occurrences for each of the last 10 years using the system according to the present invention. According to this, the frequency of forest fires occurring in late March, early April, and mid-April can be confirmed at the national level.

8 is an exemplary view (c) showing a connection between the net average temperature and humidity change (a, b) and the risk of wildfire occurrence according to the present invention. The change in temperature between regions according to the progress of time of FIG. 8A to the change of humidity between regions with the progress of time of FIG. 8B is closely related to the occurrence of forest fire. Therefore, if a constant pattern is extracted by comparing the change in temperature and humidity of a specific time in the past and the frequency of wildfire occurrence, it can be used as a data for predicting the risk of wildfire occurrence due to the change in temperature and humidity.

In addition, the method for providing forest fire occurrence position information of the present invention preferably further includes the step of editing the above-described attribute table. The editing process of the attribute table may include selecting a layer related to a forest fire occurrence location, displaying forest fire location points or polygons on a map displayed on the selected layer, and then modifying a specific attribute in an attribute table corresponding to the point or polygon. Is made of. As a result, updated attribute information can be provided to the user when a miswriting or addition occurs.

Forest fire occurrence position information providing system according to the present invention is preferably provided with a forest fire risk index corresponding to the PNU code of each corresponding position as the attribute value provided in the above-described attribute table. Such a forest fire risk index can be automatically provided in real time, Figure 9 is a block diagram of a system for providing a forest fire risk index according to the present invention.

Forest fire risk index providing system according to the present invention is an information providing server group consisting of a weather information providing server 51, terrain information providing server 52, and clinical information providing server 53;

A risk index extracting means group consisting of weather hazard index extracting means 61, terrain risk index extracting means 62, and clinical risk index extracting means 63;

It includes a forest fire risk prediction server 60 including a forest fire risk index extraction means 64 for extracting the forest fire risk index from the indexes obtained from the risk index extraction means group and providing it to the main server 30 in real time.

The meteorological information providing server 51 receives the current meteorological information in real time from meteorological stations installed in various parts of the country and provides the meteorological hazard index extraction means 61 in the forest fire risk prediction server 60.

The terrain information providing server 52 is a server for providing a digital topographic map of 1 / 25,000 scale issued by the National Geographic Information Institute of Korea. The terrain hazard index extraction means 62 in the forest fire risk prediction server 60 provides geographical information of various parts of the country. To provide.

Clinical information providing server (63) is a server that provides a numerical clinical scale of 1 / 25,000 scale issued by the National Forest Research Institute, the clinical risk index extraction means (63) in the forest fire risk prediction server (60) to provide.

In the present invention, the "meteorological risk index" means that the risk of forest fires according to weather classification is quantified by an index.

In the present invention, the "terrain risk index" means that the risk of forest fires according to the terrain classification is quantified by an index.

In the present invention, "clinical risk index" means that the risk of forest fire according to the clinical classification is quantified by the index.

The three risk indexes as described above may be extracted for each unit grid when the whole country is divided using a certain number of unit grids (for example, 100 ㅧ 100 ㎡).

Forest fire risk index extraction means 64 from the weather information, terrain information, and clinical information provided from the weather hazard index extraction means 61, the topographic hazard index extraction means 62, and the clinical hazard index extraction means 63. Forest fire risk index is extracted from all over the country. The forest fire risk index can be calculated as a specific figure and can be provided managed by grade.

As described above, the forest fire risk index provided by the forest fire risk index extraction means 64 may be provided in unit grid units, and the main server 30 may have an attribute value corresponding to each PNU code present in the unit grid. Is provided in real time.

The weather hazard index extraction means 61 of the present invention receives weather information from the weather information providing server 51 and extracts the weather hazard index and provides it to the forest fire hazard index extraction means 64.

According to the present invention, the weather information such as temperature (eg, average temperature, maximum temperature, minimum temperature), humidity (eg, effective humidity, maximum humidity, minimum humidity), wind speed (eg, average wind speed, maximum wind speed, minimum wind speed) Can be used. It is also possible to use other information such as precipitation. Such weather information is preferably received from the weather information providing server 51 24 times a day for 1 hour. This weather information is recorded and stored in the storage device.

The weather information may be used one or more information that has a correlation with wildfire occurrences depending on the region. The meteorological hazard index extraction means 61 includes a meteorological hazard index calculation unit that calculates a meteorological hazard index according to a function f (temperature, humidity, and wind speed) that can be determined experimentally using such weather information as a variable. An example of the calculation of weather risk index prepared by region is given below.

[Example of regional weather hazard index calculation formula,% accuracy]

Gangwon-do: [1 + exp {-(2.494+ (0.004 * Minimum Temperature)-(0.008 * Effective Humidity))}] ^-1 (74.3%)

Gyeonggi-do: [1 + exp {-(5.929+ (0.006 * highest temperature)-(0.009 * effective humidity)-(0.057 * minimum humidity))}] ^-1 (77.7%)

Chungcheongnam-do: [1 + exp {-(5.645- (0.008 * effective humidity)-(0.086 * minimum humidity) + (0.011 * maximum wind speed))}] ^-1 (77.7%)

Chungcheongbuk-do: [1 + exp {-(7.256- (0.015 * Effective Humidity))}] ^-1 (79.6%)

Jeollanam-do: [1 + exp {-(7.384- (0.014 * Effective Humidity))}] ^-1 (75.9%)

Jeollabuk-do: [1 + exp {-(5.556+ (0.005 * Minimum Temperature)-(0.013 * Effective Humidity))}] ^-1 (82.2%)

Gyeongsangnam-do: [1 + exp {-(2.216- (0.006 * Effective Humidity))}] ^-1 (74.3%)

Gyeongsangbuk-do: [1 + exp {-(5.396+ (0.004 * highest temperature)-(0.014 * effective humidity) + (0.027 * average wind speed))}] ^-1 (75.9%)

The above formula provides about 75% or more prediction accuracy, and the same formula can be applied to regions included in the same unit grid.

The terrain risk index extraction means 62 of the present invention receives the terrain information from the terrain information providing server 52 and extracts the terrain risk index and provides it to the forest fire risk index extraction means 64.

According to the present invention, the slope information (for example, the bottom of the mountain, the top of the mountain, the top of the mountain, the top of the mountain, the top of the mountain, etc.), the incense (for example, north, northeast, east, southeast, southwest, west, northwest) can be used as the terrain information. The topographic information can be used to index information given according to the frequency of occurrence of each slope and incense distributed in the unit grid and the risk of forest fires according to each classification. This terrain information is recorded and stored in the storage device.

The terrain hazard index extraction means 62 may be provided as an average value of indices respectively obtained for slopes and incense from such terrain information, or may be provided as a sum of terrain hazard indexes obtained for these slopes and incense. Such a calculation process may be performed by the terrain hazard index calculation unit.

Below is an example of a topographic risk index, prepared as an average of the indices.

[Example of calculation of topographic risk index in specific unit grid]

In the above formula, Pi represents the distribution ratio of the inclination or incense of type i existing in the unit grid, and Ii represents the risk index of the inclination or incense of type i.

The risk index can exemplify how to match the highest 10 in the southwest and the lowest 3 in the east for the incense. Such figures can be obtained based on empirical statistics related to wildfire outbreaks. In addition, the slope can be exemplified by giving the highest 10 at the bottom of the foothills, and the lowest at the top of the mountainous foot equivalence and the top of the mountain top.

According to this, if there are 90 places (71.4%) in the lower part of the mountain grid, 20 places (15.9%) in the upper part of the mountain range, 13 places (10.3%) in the lower part of the mountain range, 2 places (1.6%) in the upper part of the mountain range, If there is one location (0.8%), the terrain hazard index for the slope can be calculated as follows.

Terrain hazard index of slope:

0.714 × 10 + 0.159 × 3 + 0.103 × 2 + 0.016 × 1 + 0.008 × 1 = 7.847

Similarly, within the unit grid, there are 12 places north (9.5%), 19 places north (15.1%), six places (4.8%), 18 places south (14.3%) and 17 places south (13.5%). In the case of 22 southwest (17.5%), 12 west (9.5%), and 20 northwest (15.9%), the topographic risk index for incense is as follows.

Terrain Hazard Index of Incense:

0.095 × 5 + 0.151 × 9 + 0.048 × 3 + 0.143 × 8 + 0.135 × 8 + 0.175 × 10 + 0.095 × 5 + 0.159 × 10 = 8.017

Overall terrain hazard index:

Therefore, according to the example given above, the topographic risk index within this grid is 7.847 + 8.017 = 15.864.

Clinical risk index extraction means 63 of the present invention receives clinical information from the clinical information providing server 53 extracts the clinical risk index and provides it to the forest fire risk index extraction means (64).

According to the present invention, the clinical information (conifers, deciduous trees, mixed forest) distribution ratio present in the unit grid and the index information given according to the risk of wildfire occurrence according to each of these clinical can be used. This clinical information is recorded and stored in storage.

The clinical risk index extraction means 63 may be calculated by multiplying the distribution ratio by clinical belonging to each classification and the corresponding clinical risk index by using such clinical information, and obtaining the sum thereof. Such a calculation process may be performed by the clinical risk index calculation unit. Below is an example of a clinical risk index drawn within a specific unit grid.

[Example of calculation formula of clinical risk index in specific unit grid]

(In the above formula, Pi is type i clinical, which is distributed within the unit grid, and Ii is the risk index of type i clinical.)

The clinical risk index can be given, for example, 10 for conifers, 3 for mixed forests and 2 for hardwoods. According to this, if the conifers occupy 87 places (69%), the hardwoods 18 places (14.3%), and the mixed forests occupy 21 places (16.7%), the clinical risk index is calculated as follows.

Clinical Risk Index:

0.690 × 10 + 0.143 × 2 + 0.167 × 3 = 7.687

Forest fire risk index extraction means 64 of the present invention is the weather risk index extraction means 61, the topographic risk index extraction means 62, and the clinical risk index extraction means 63, respectively, weather hazard index, topographic hazard index, and After receiving the clinical risk index, the weight is assigned to each index and finally the forest fire risk index is extracted.

In a preferred embodiment of the present invention, the weather risk index is multiplied by 0.6 to 0.8, preferably 0.7 by weight, and the terrain risk index and clinical risk index by the weight of 1.2 to 1.8 and preferably 1.5, respectively. Each unit grid is extracted as an index. It is experimentally confirmed that accurate prediction is possible when applying the weight range as described above.

As described above, the prediction information may be obtained by receiving a weather forecast at three hour intervals through a weather information providing server operated by an agency such as the Korea Meteorological Administration and applying the same method of extracting the same weather hazard index as described above. . Terrain information and clinical information are not information that changes in a short time, so pre-stored information can be used as it is.

10 is an actual experimental result showing the correlation between the forecast index and the actual index at 15 o'clock the next day by applying the prediction system according to the present invention. According to this it can be confirmed that there is a positive correlation between the forecast index obtained by the present invention and the risk index actually extracted. Therefore, according to the prediction method and the prediction system for the present invention, it is possible to predict quickly and with high accuracy with respect to the risk of wildfire in the near future.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims. It can be understood that

1 is a block diagram of an information providing system of a wildfire occurrence position according to the present invention.

2 shows an example of a PNU code used in the present invention.

3 is an exemplary view of a forest fire occurrence location using the national geographic information system according to the present invention.

4 is an exemplary view showing detailed forest fire occurrence information for each forest fire occurrence position shown in FIG. 3.

5A and 5B are exemplary views showing forest fire occurrence information for each specific region.

Figure 6 is a generation process and one example of the isometric diagram showing the frequency of forest fire occurrence by period of the national unit according to the present invention.

Figure 7 is an embodiment showing the frequency of wildfire occurrences for each of the last 10 years using the system according to the present invention.

8 is an exemplary view (c) showing a connection between the net average temperature and humidity change (a, b) and the risk of wildfire occurrence according to the present invention.

9 is an example of configuration diagram of a forest fire risk prediction system according to the present invention.

10 is an actual experimental result showing the correlation between the forecast index and the actual index at 15 o'clock the next day by applying the prediction system according to the present invention.

<Code Description of Main Parts of Drawing>

10: continuous map DB server

20: Forest fire statistics DB server

30: main server

31: forest fire location data generation unit

32: forest fire occurrence status extraction unit

33: interface

40: user terminal

51: weather information providing server

52: terrain information providing server

53: clinical information server

60: forest fire risk prediction server

61: Meteorological hazard index extraction means

62: terrain hazard index extraction means

63: Clinical Risk Index Extraction Means

64: Forest fire risk index extraction means

Claims (10)

delete delete delete delete delete delete delete A continuous map DB server that provides information in a PNU code; Forest fire statistics book DB server that provides the number of the forest fire occurrence location; Forest fire occurrence location data generation unit for matching the PNU code provided from the continuous cadastral map DB server and the number of the forest fire occurrence location provided by the forest fire statistics database DB server to generate the forest fire location data in the form according to the conditions determined by the user And a main server including a wildfire occurrence status extraction unit for extracting the wildfire occurrence location on a cadastral map. A weather information providing server that divides the whole country into unit grids at a predetermined interval and provides weather information including temperature, humidity, and wind speed for each unit grid; A terrain information providing server providing terrain information including a slope and a scent for each unit grid; A clinical information providing server for providing clinical information including a distribution ratio of each clinical unit for each unit grid; And Meteorological hazard index extraction means for extracting a meteorological hazard index calculated according to Equation 1 from the meteorological information received from the meteorological information providing server, is calculated according to the following Equation 2 from the terrain information received from the terrain information providing server A terrain risk index extraction means for extracting a terrain risk index, and a clinical risk index extraction means for extracting a clinical risk index calculated according to Equation 3 below from clinical information received from the clinical information providing server, The weather risk index extracted by the meteorological risk index extraction means is multiplied by a weight of 0.7, and the terrain risk index extracted by the terrain risk index extraction means and the clinical risk index extraction means are multiplied by the weight of 1.5, respectively, and summed. Forest fire risk prediction server for extracting the forest fire risk index by unit grid; Forest fire generation information providing system comprising a. [Formula 1] Gangwon-do: [1 + exp {-(2.494+ (0.004 * Minimum Temperature)-(0.008 * Effective Humidity))}] ^-1 Gyeonggi-do: [1 + exp {-(5.929+ (0.006 * highest temperature)-(0.009 * effective humidity)-(0.057 * minimum humidity))}] ^-1 Chungcheongnam-do: [1 + exp {-(5.645- (0.008 * effective humidity)-(0.086 * minimum humidity) + (0.011 * maximum wind speed))}] ^-1 Chungcheongbuk-do: [1 + exp {-(7.256- (0.015 * effectiveness))}] ^-1 Jeollanam-do: [1 + exp {-(7.384- (0.014 * effectiveness))}] ^-1 Jeollabuk-do: [1 + exp {-(5.556+ (0.005 * Highest Temperature)-(0.013 * Effective Humidity))}] ^-1 Gyeongsangnam-do: [1 + exp {-(2.216- (0.006 * Effective Humidity))}] ^-1 Gyeongsangbuk-do: [1 + exp {-(5.396+ (0.004 * highest temperature)-(0.014 * effective humidity) + (0.027 * average wind speed))}] ^-1 [Formula 2]

In the above formula, Pi denotes the distribution ratio of the inclination or incense of type i existing in the unit grid, and Ii represents the risk index of the inclination or incense of type i, and the risk index is 10 in the southwest and 3 in the east. On the slopes, the lower part of the foothills is given 10, and the mountainous foot equivalency part and the lower part of the mountain are given one. [Equation 3]

In the above formula, Pi is an i-type clinical trial distributed in a unit grid, Ii represents a risk index of type i clinical practice, and the risk index is 10 conifers, 3 mixed forests, and 2 hardwoods. 9. The method of claim 8, Forest fire occurrence location is an information providing system of the forest fire occurrence position, characterized in that it is provided as a generation location of forest fires by year, time, month, or net. delete

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