A power transmission line fire alarm method and system based on environmental self-adaptive spread prediction

Abstract

The application discloses a power transmission line fire alarm method and system for environmental self-adaptive spread prediction, comprising the following steps: acquiring position information of a fire point, determining a first grid where the fire point is located according to a pre-constructed regional grid map, determining each second grid of initial spread and corresponding geographical information and meteorological data of the second grid with the first grid as the center, calculating a spread speed of each second grid according to the meteorological data and the geographical information, iteratively updating a burning state of each second grid according to the spread speed and a preset time step, determining a plurality of third grids with the second grid as the center according to the burning state, generating a fire spread trend grid map of the fire point in combination with the first grid, the second grid and the third grid, and calculating a fire alarm evaluation parameter according to the fire spread trend grid map, so that fire alarm information of a power transmission line is obtained according to the fire alarm evaluation parameter, and the efficiency and accuracy of fire alarm are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fire damage prediction of power transmission lines, in particular to a power transmission line fire alarm method and system for environment adaptive spread prediction. BACKGROUND

[0002] The power transmission line is a key link for power transportation, which is easily disturbed by external factors due to long-term exposure to the natural environment. As one of the common natural disasters, when the forest fire occurs and spreads to the vicinity of the line, it often breaks through the insulation of the power transmission line, causing a trip accident. At the same time, due to the short-term irreversibility of insulation failure, the presented accident often has the characteristics of long duration, low reclosing success rate, wide influence range, and large economic loss, which seriously threatens the safe and stable operation of the power grid system. With the influence of extreme weather in recent years, the outbreak of forest fires has become more and more frequent. Research shows that among various external factors causing line trip accidents, forest fires rank second, only next to lightning.

[0003] In the prior art, a forest fire trip model is generally used to predict the impact of forest fires on power transmission lines. However, the forest fire trip model can only evaluate the line trip risk when the forest fire occurs under the line. When the forest fire does not occur under the line, it mainly relies on the use of unmanned aerial vehicles or other monitoring devices to continuously track the fire point until the flame spreads within 3km of the line, and then issue a line risk alarm. This process not only requires operation and maintenance personnel to monitor the development of the forest fire in real time, which is extremely labor-intensive, but also in extreme weather and geographical environment, the development speed of the forest fire is extremely fast, which may quickly spread to the line below during the tracking gap, causing the power grid line to trip. The operator cannot timely predict the forest fire under the power transmission line, which reduces the efficiency of the power transmission line alarm. SUMMARY

[0004] In order to solve the above technical problems, the present application discloses an environment adaptive spread prediction power transmission line fire alarm method and system for improving the accuracy and efficiency of power transmission line fire alarm.

[0005] In order to achieve the above purpose, the present application discloses an environment adaptive spread prediction power transmission line fire alarm method, comprising:

[0006] The position information of the fire point is obtained by the pre-set fire point monitoring device, and the first grid where the fire point is located is determined according to the position information and the regional grid map obtained by pre-constructing the grid division of the target region where the power transmission line is located.

[0007] A plurality of second grids in which the fire point initially spreads are determined with the first grid as the center, and the geographic information corresponding to each of the plurality of second grids is obtained in combination with the geographic layer corresponding to the target region.

[0008] acquire first weather data corresponding to the first grid, and determine second weather data corresponding to each of the second grids according to the weather data and orientation information of each of the second grids relative to the first grid;

[0009] calculate, according to the second weather data and the geographic information, a spread speed corresponding to each of the second grids by using a preset spread speed calculation formula;

[0010] update, according to the spread speed and a preset time step iteration number, a burning state corresponding to each of the second grids in each time step, and determine a plurality of third grids, which are centered on the second grids, when the fire points are to be re-spreading according to the burning state;

[0011] obtain a fire spread trend grid map of the fire points in the regional grid map by combining the first grid, the plurality of second grids and the plurality of third grids, calculate a fire alarm evaluation parameter corresponding to the power transmission line according to the fire spread trend grid map, and obtain fire alarm information corresponding to the power transmission line according to the fire alarm evaluation parameter.

[0012] The application discloses a power transmission line fire alarm method based on environment self-adaptive spread prediction. First, geographical information of a target region where a power transmission line is located is obtained, and the target region is divided into grids, and geographical attribute parameters corresponding to each grid obtained after the division are determined according to the geographical information, so that when fire spread prediction is performed later, the spread speed of the fire is determined in combination with geographical factors of the target region, the accuracy of the fire spread prediction is improved, then, position information of a fire point is obtained in real time by using a preset fire monitoring device, the first grid where the fire point is located is determined according to the position information, a plurality of second grids for initial spread are determined with the first grid as the center, when the spread speed of each grid needs to be known when the prediction of the fire spread region is performed, meteorological data has a great influence on the fire spread, first meteorological information of the first grid is obtained, second meteorological information of the second grid is determined according to the first meteorological data and the orientation information of the first grid and the second grid, then the spread speed of each second grid is calculated by using the second meteorological data and the first geographical attribute parameters, so that the burning region of each second grid after a predetermined time step is calculated according to the spread speed, the burning state of the second grid is determined according to the burning region, whether the second grid is taken as the center to iteratively perform the prediction of the fire spread is determined according to the burning state of the second grid, the prediction accuracy of the spread is improved, after a specified spread duration, the fire spread grid graph corresponding to the fire point is determined according to the burning state of the second grid and the spread speed of the second grid, the alarm evaluation parameter of the power transmission line is calculated according to the fire spread grid graph, and the fire of the power transmission line is alarmed according to the alarm evaluation parameter, the accuracy and timeliness of the alarm are improved.

[0013] As a preferred example, in the step of determining a plurality of second grids for initial spread of the fire point with the first grid as the center, and obtaining geographical information corresponding to each of the plurality of second grids in combination with a geographical layer corresponding to the target region, the geographical information corresponding to each of the plurality of second grids comprises:

[0014] In the step of determining a plurality of second grids for initial spread of the fire point with the first grid as the center, and obtaining geographical information corresponding to each of the plurality of second grids in combination with a geographical layer corresponding to the target region, the geographical information corresponding to each of the plurality of second grids comprises:

[0015] In the step of determining a plurality of second grids for initial spread of the fire point with the first grid as the center, and obtaining geographical information corresponding to each of the plurality of second grids in combination with a geographical layer corresponding to the target region, the geographical information corresponding to each of the plurality of second grids comprises:

[0016] The present application improves the accuracy of the predicted area size by dividing the area into grids, and then considering that the spread of the fire is easily affected by the geographical environment, the geographical attributes of each grid are assigned, so that the calculation of the spread speed is corrected according to the geographical attributes, different grids have different spread speeds, and the accuracy of the spread prediction is improved, and the accuracy of the alarm is improved.

[0017] As a preferred example, the second meteorological data corresponding to each second grid is determined according to the meteorological data and the orientation information of each second grid with respect to the first grid, comprising:

[0018] According to the position information of the first grid, the meteorological information center is queried in real time to obtain the first wind speed corresponding to the first grid;

[0019] According to the spatial orientation information of the second grid with respect to the first grid, the wind speed of the first wind speed projected into each second grid is calculated to obtain the second wind speed corresponding to each second grid.

[0020] The present application is based on the fact that the spread of the fire is greatly affected by the wind speed, so the wind speed of the first grid is obtained, and because the wind speed is a vector parameter with direction attribute, in order to improve the calculation accuracy of the wind speed corresponding to each grid, the wind speed of the first grid is calculated according to the spatial orientation information of the second grid with respect to the first grid, so as to calculate the spread speed according to the projected wind speed, and improve the accuracy of the spread prediction.

[0021] As a preferred example, the second meteorological data corresponding to each second grid is determined according to the meteorological data and the orientation information of each second grid with respect to the first grid, comprising:

[0022] According to the second wind speed of each second grid, the wind speed correction coefficient of each second grid is determined by a preset wind speed coefficient calculation formula; wherein the wind speed correction coefficient calculation formula is:

[0023] According to the grid moisture content of each second grid, the combustible moisture content correction coefficient of each second grid is determined by a preset combustible moisture content correction coefficient calculation formula;

[0024] According to the wind speed coefficient and the combustible moisture content correction coefficient, the spread index of each second grid is calculated by a preset spread index calculation formula;

[0025] According to the grid-covered vegetation type corresponding to each second grid, a spreading speed calculation formula corresponding to the grid-covered vegetation type is matched, and an initial spreading speed corresponding to each second grid is obtained by combining the spreading index of each second grid.

[0026] The present application first forms an initial spreading factor by wind speed and water content when calculating the spreading speed of each second grid, and then sets the spreading speed calculation formula corresponding to different vegetation types. When different grids have different vegetation types, the spreading speed calculation formula matched by each grid is also different. According to the matched spreading speed calculation formula and the spreading factor, the initial spreading speed is calculated, the accuracy of the spreading prediction is improved, and the accuracy of the alarm is further improved.

[0027] As a preferred example, the calculation of the spreading speed of each second grid by the preset spreading speed calculation formula further comprises:

[0028] According to the grid elevation of each second grid, the grid elevation is discretely processed by a preset slope correction formula to obtain the elevation attribute corresponding to each second grid;

[0029] According to the elevation attribute, the initial spreading speed is corrected in slope to obtain the spreading speed corresponding to each second grid.

[0030] The present application considers that similar to the effect of wind speed, when the central grid starts to spread to the adjacent grid, the grids with different elevations in different directions also have different spreading speeds in different directions. Therefore, the initial spreading speed is corrected in slope to improve the accuracy of the spreading speed prediction, and further improve the accuracy of the alarm.

[0031] As a preferred example, when the burning state of each second grid is iteratively updated, and according to the burning state, a plurality of third grids when the fire point starts to spread again are determined with the second grid as the center, comprising:

[0032] According to the spreading speed and the time step, the spreading area of the second grid is calculated, and according to the spreading area and the grid area of the second grid, the burning state of the second grid is determined;

[0033] When the spreading area is equal to the grid area of the second grid, the burning state is determined as a complete combustion state, and at this time, a plurality of third grids when the fire point starts to spread again are determined with the second grid as the center.

[0034] The application determines whether the fire spreads again according to the burning state of the second grid, and when the second grid is completely burned, the second grid is immediately taken as the center to further select the next grid to spread, and the iteration is updated to improve the efficiency of the spread prediction and the efficiency of the alarm.

[0035] As a preferred example, the fire alarm evaluation parameter corresponding to the power transmission line is calculated according to the fire spread trend grid map, and the fire alarm information corresponding to the power transmission line is obtained according to the fire alarm evaluation parameter, which comprises the following steps:

[0036] According to the fire spread trend grid map and the position of the power transmission line in the area grid map, the relative distance of the first grid to the line flame of the power transmission line, the absolute distance of the fire spread trend grid map to the line flame of the power transmission line and the spread coverage area of the fire spread trend grid map are calculated.

[0037] According to the preset line flame relative distance threshold, line flame absolute distance threshold and spread coverage area threshold in the preset alarm information level table, the line flame relative distance, line flame absolute distance and spread coverage area are judged respectively to obtain the fire alarm level corresponding to the power transmission line.

[0038] The application evaluates the current evaluation parameter according to the different thresholds of the three risk evaluation parameters, i.e., the line flame relative distance, the line flame absolute distance and the spread coverage area, to complete the differentiated alarm and improve the efficiency of the alarm.

[0039] On the other hand, the application also discloses an environment-adaptive spread prediction power transmission line fire alarm system, which comprises a fire point monitoring module, an information assignment module, a meteorological projection module, a spread calculation module, an iteration update module and a fire alarm module.

[0040] The fire point monitoring module is used to obtain the position information of the fire point through the preset fire point monitoring device, and determine the first grid where the fire point is located according to the position information and the area grid map obtained by dividing the target area where the power transmission line is located into grids in advance.

[0041] The information assignment module is used to determine a plurality of second grids where the fire point initially spreads with the first grid as the center, and obtain the geographic information corresponding to each of the plurality of second grids in combination with the geographic layer corresponding to the target area.

[0042] The weather projection module is configured to acquire first weather data corresponding to the first grid, and determine second weather data corresponding to each of the second grids according to the first weather data and orientation information of each of the second grids relative to the first grid.

[0043] The spread calculation module is configured to calculate a spread speed corresponding to each of the second grids according to the second weather data and the geographic information by using a preset spread speed calculation formula.

[0044] The iterative update module is configured to iteratively update a burning state corresponding to each of the second grids in each time step according to the spread speed and a preset number of iteration times of the time step, and determine a plurality of third grids when the fire point is re-spread according to the burning state and taking the second grid as a center.

[0045] The fire alarm module is configured to obtain a fire spread trend grid map of the fire point in the area grid map by combining the first grid, the plurality of second grids and the plurality of third grids, calculate a fire alarm evaluation parameter corresponding to the power transmission line according to the fire spread trend grid map, and obtain fire alarm information corresponding to the power transmission line according to the fire alarm evaluation parameter.

[0046] The application discloses an environmental self-adaptive spread prediction power transmission line fire alarm system, which comprises the following steps: firstly, obtaining geographical information of a target region where a power transmission line is located, and dividing the target region into grids, and determining geographical attribute parameters of each grid obtained after the division according to the geographical information, so that the spread speed of a fire is determined in combination with geographical factors of the target region when the spread of the fire is predicted in the later period, and the accuracy of the spread prediction of the fire is improved; then, real-time acquisition of position information of a fire point by using a preset fire monitoring device, and determination of a first grid where the fire point is located according to the position information; determination of a plurality of second grids for initial spread with the first grid as the center; next, when the spread of a fire is predicted, the spread speed of each grid needs to be known, and at this time, meteorological data has a great influence on the spread of the fire, so first meteorological information of the first grid is acquired, and second meteorological information of the second grid is determined according to the first meteorological data and the orientation information of the first grid and the second grid; then, the spread speed of each second grid is calculated by using the second meteorological data and the first geographical attribute parameters, so that the burning area of each second grid after a predetermined time step is calculated according to the spread speed, and the burning state of the second grid is determined according to the burning area, and whether the second grid is taken as the center to iteratively predict the spread of the fire is determined according to the burning state of the second grid, so that the accuracy of the spread prediction is improved; after a specified spread duration, a fire spread grid map corresponding to the fire point is determined according to the burning state of the second grid and the spread speed of the second grid, an alarm evaluation parameter of the power transmission line is calculated according to the fire spread grid map, and the fire of the power transmission line is alarmed according to the alarm evaluation parameter, so that the accuracy and timeliness of the alarm are improved.

[0047] As a preferred example, the information assignment module comprises a region division unit and an information assignment unit.

[0048] The region division unit is configured to select, according to a preset cellular automaton, a plurality of grids in a Moore type neighborhood corresponding to the first grid as the second grids with the first grid as the center; the second grids comprise four adjacent grids of the first grid, i.e., the upper, lower, left and right grids, and four secondary adjacent grids in diagonal directions of the first grid.

[0049] The information assignment unit is configured to assign geographical attributes to each of the plurality of second grids according to a boundary GIS map and a corresponding geographical layer of the target region, and generate geographical information corresponding to each of the second grids; the geographical information comprises a grid elevation, a grid water content and a grid coverage vegetation type.

[0050] The present application improves the accuracy of the size of the predicted area by grid division of the area, and then considers that the spread of the fire is easily affected by the geographical environment, so the geographical attribute of each grid is valued, so as to modify the calculation of the spread speed according to the geographical attribute, different grids have different spread speeds, improve the accuracy of the spread prediction, and further improve the accuracy of the alarm.

[0051] As a preferred example, the weather projection module comprises a weather query unit and a data projection unit;

[0052] The weather query unit is used for querying a weather information center in real time according to the position information of the first grid to obtain a first wind speed corresponding to the first grid;

[0053] The data projection unit is used for calculating the wind speed of the first wind speed projected into each second grid according to the spatial orientation information of the second grid and the first grid, to obtain a second wind speed corresponding to each second grid.

[0054] The present application is based on the fact that the spread of the fire is greatly affected by the wind speed, so the wind speed of the first grid is obtained, and because the wind speed is a vector parameter with a direction attribute, in order to improve the calculation accuracy of the wind speed corresponding to each grid, the wind speed of the first grid projected into other second grids is calculated by using the spatial orientation information of the second grid and the first grid, so as to calculate the spread speed according to the projected wind speed, and improve the accuracy of the spread prediction. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 : a flowchart of an environment-adaptive spread-predicted power transmission line fire alarm method disclosed by an embodiment of the present application;

[0056] Figure 2 : a structural diagram of an environment-adaptive spread-predicted power transmission line fire alarm system disclosed by an embodiment of the present application;

[0057] Figure 3 : a flowchart of an environment-adaptive spread-predicted power transmission line fire alarm method disclosed by another embodiment of the present application;

[0058] Figure 4 : a field grid selection diagram disclosed by another embodiment of the present application;

[0059] Figure 5 : a projection diagram of the wind speed of a center grid in a field grid disclosed by another embodiment of the present application;

[0060] Figure 6 a flow chart of a calculation process of a spreading speed disclosed by another embodiment of the present application;

[0061] Figure 7 a schematic diagram of a generated spreading prediction grid map disclosed by another embodiment of the present application. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0063] Embodiment one

[0064] The present embodiment discloses an environmental adaptive spreading prediction power transmission line fire alarm method. The specific implementation process of the alarm method is described with reference to Figure 1 , mainly including steps 101 to 106, which include:

[0065] Step 101: Obtain the position information of the fire point through the preset fire point monitoring device, and determine the first grid where the fire point is located according to the position information and the regional grid map obtained by pre-constructing the grid division of the target region where the power transmission line is located.

[0066] Step 102: Determine a plurality of second grids where the fire point initially spreads, with the first grid as the center, and obtain the geographic information corresponding to each of the plurality of second grids in combination with the geographic layer corresponding to the target region.

[0067] In this example, this step includes: according to the preset cellular automaton, selecting a plurality of grids in the Moore type neighborhood corresponding to the first grid as the second grids with the first grid as the center; the second grids include the upper, lower, left and right four adjacent grids of the first grid and the four secondary adjacent grids in the diagonal direction of the first grid; according to the boundary GIS map of the target region and the corresponding geographic layer, the geographic attribute of each of the plurality of second grids is valued to generate the geographic information corresponding to each of the plurality of second grids; the geographic information includes grid elevation, grid water content and grid coverage vegetation type.

[0068] In the embodiment, the step is performed by dividing the area into grids, so that the subsequent prediction of the fire spreading area based on the grids improves the accuracy of the predicted area size. Then, considering that the spread of the fire is easily affected by the geographical environment, the geographical attributes of each grid are assigned, so that the subsequent calculation of the spread speed is corrected according to the geographical attributes. Different grids have different spread speeds, which improves the accuracy of the spread prediction and further improves the accuracy of the alarm.

[0069] Step 103: Obtain first weather data corresponding to the first grid, and determine second weather data corresponding to each second grid according to the weather data and the orientation information of each second grid with respect to the first grid.

[0070] In the embodiment, the step includes: querying a weather information center in real time according to the location information of the first grid to obtain a first wind speed corresponding to the first grid; and calculating wind speeds of the first wind speed projected into each second grid according to the spatial orientation information of the second grid with respect to the first grid, to obtain second wind speeds corresponding to each second grid.

[0071] In the embodiment, the step is based on the fact that the spread of the fire is greatly affected by the wind speed. Therefore, the wind speed of the first grid is obtained. Since the wind speed is a vector parameter with a direction attribute, in order to improve the calculation accuracy of the wind speed corresponding to each grid, the wind speed of the first grid after being projected into other second grids is calculated by using the spatial orientation information of the second grid with respect to the first grid, so as to calculate the spread speed according to the projected wind speed and improve the accuracy of the spread prediction.

[0072] Step 104: Calculate the spread speed corresponding to each second grid according to the second weather data and the geographical information by using a preset spread speed calculation formula.

[0073] In the embodiment, the step includes: determining a wind speed correction coefficient of each second grid by using a preset wind speed coefficient calculation formula according to the second wind speed of each second grid; wherein the wind speed correction coefficient calculation formula is: determining a combustible moisture content correction coefficient of each second grid by using a preset combustible moisture content correction coefficient calculation formula according to the grid moisture content of each second grid; calculating a spread index of each second grid by using a preset spread index calculation formula according to the wind speed coefficient and the combustible moisture content correction coefficient; and obtaining an initial spread speed corresponding to each second grid by matching a spread speed calculation formula corresponding to the grid coverage vegetation type of each second grid and combining the spread index of each second grid.

[0074] Further, according to the grid elevation of each second grid, the grid elevation is discretely processed through a preset slope correction formula to obtain an elevation attribute corresponding to each second grid; and the initial spread speed is slope corrected according to the elevation attribute to obtain a spread speed corresponding to each second grid respectively.

[0075] In this embodiment, when calculating the spread speed of each second grid, an initial spread factor is first formed through the wind speed and the water content, and then a spread speed calculation formula corresponding to different vegetation types is set. When different grids have different vegetation types, the spread speed calculation formula matched to each grid is also different. According to the matched spread speed calculation formula and the spread factor, the initial spread speed is calculated, the accuracy of spread prediction is improved, and the accuracy of the alarm is improved. At the same time, it is considered that the effect of the wind speed is similar, when the central grid starts to spread to the adjacent grid, the grids with different elevations in different directions also have different spread speeds in different directions. Therefore, the initial spread speed is slope corrected to improve the accuracy of spread speed prediction and the accuracy of the alarm.

[0076] Step 105: according to the spread speed and a preset time step iteration number, in each time step, the burning state corresponding to each second grid is iteratively updated, and according to the burning state, a plurality of third grids are determined when the fire point starts to spread again with the second grid as the center.

[0077] In this embodiment, this step mainly includes: according to the spread speed and the time step, the spread area of the second grid is calculated, and according to the spread area and the grid area of the second grid, the burning state of the second grid is determined; when the spread area is equal to the grid area of the second grid, the burning state is determined as a complete combustion state, and at this time, a plurality of third grids are determined when the fire point starts to spread again with the second grid as the center.

[0078] In this embodiment, this step determines whether the fire spreads again according to the burning state of the second grid. When the second grid is completely burned, the grid for the next spread is immediately selected with the second grid as the center, and the spread prediction efficiency is improved through iterative updating, and the efficiency of the alarm is improved.

[0079] Step 106: combining the first grid, the plurality of second grids and the plurality of third grids, a fire spread trend grid map of the fire point in the regional grid map is obtained, a fire disaster alarm evaluation parameter corresponding to the power transmission line is calculated according to the fire spread trend grid map, and fire disaster alarm information corresponding to the power transmission line is obtained according to the fire disaster alarm evaluation parameter.

[0080] In the embodiment, the step mainly comprises: calculating a line flame relative distance from the first grid to the power transmission line, a line flame absolute distance from the fire spread tendency grid to the power transmission line, and a spread coverage area of the fire spread tendency grid according to the fire spread tendency grid and the position of the power transmission line in the area grid.

[0081] In the embodiment, the step evaluates the obtained evaluation parameters according to different threshold values corresponding to the three risk evaluation parameters, i.e., the line flame relative distance, the line flame absolute distance, and the spread coverage area, to complete differentiated alarm and improve the efficiency of alarm.

[0082] On the other hand, the embodiment also discloses an environment-adaptive spread prediction power transmission line fire alarm system. Figure 2 The system comprises a fire point monitoring module 201, an information assignment module 202, a meteorological projection module 203, a spread calculation module 204, an iterative update module 205, and a fire alarm module 206.

[0083] The fire point monitoring module 201 is configured to acquire position information of a fire point by using a preset fire point monitoring device, and determine a first grid in which the fire point is located according to the position information and an area grid obtained by performing grid division on a target area in which a power transmission line is located in advance.

[0084] The information assignment module 202 is configured to determine a plurality of second grids in which the fire point initially spreads, with the first grid as a center, and obtain geographical information corresponding to each of the plurality of second grids in combination with a geographical layer corresponding to the target area.

[0085] The meteorological projection module 203 is configured to acquire first meteorological data corresponding to the first grid, and determine second meteorological data corresponding to each of the second grids according to the meteorological data and orientation information of each of the second grids relative to the first grid.

[0086] The spread calculation module 204 is configured to calculate a spread speed corresponding to each of the second grids according to the second meteorological data and the geographical information by using a preset spread speed calculation formula.

[0087] The iteration updating module 205 is configured to iteratively update the burning state of each second grid according to the spreading speed and a preset number of time steps, and determine a plurality of third grids in which the fire point is to spread again, based on the burning state and the second grid as a center in each time step.

[0088] The fire warning module 206 is configured to obtain a fire spreading trend grid map of the fire point in the area grid map based on the first grid, the plurality of second grids and the plurality of third grids, calculate a fire warning evaluation parameter of the power transmission line based on the fire spreading trend grid map, and obtain fire warning information of the power transmission line based on the fire warning evaluation parameter.

[0089] In this embodiment, the information assignment module 202 includes an area division unit and an information assignment unit.

[0090] The area division unit is configured to select a plurality of grids in a Moore neighborhood corresponding to the first grid as the second grids based on a preset cellular automaton and the first grid as a center; the second grids include four adjacent grids above, below, left and right of the first grid and four secondary adjacent grids in diagonal directions of the first grid.

[0091] The information assignment unit is configured to assign a geographical attribute to each of the plurality of second grids based on a boundary GIS map and a corresponding geographical layer of the target area, and generate geographical information corresponding to each of the second grids; the geographical information includes a grid elevation, a grid water content and a grid coverage vegetation type.

[0092] In this embodiment, the weather projection module 203 includes a weather query unit and a data projection unit.

[0093] The weather query unit is configured to query a weather information center in real time based on position information of the first grid, and obtain a first wind speed corresponding to the first grid.

[0094] The data projection unit is configured to calculate a wind speed projected into each of the second grids from the first wind speed based on spatial orientation information of the second grids and the first grid, and obtain a second wind speed corresponding to each of the second grids.

[0095] The environment adaptive spread prediction power transmission line fire alarm method and system disclosed by the embodiment first obtains the geographic information of the target area where the power transmission line is located, divides the target area into grids, and determines the geographic attribute parameters corresponding to each grid obtained after division according to the geographic information, so that when the fire spread is predicted later, the spread speed of the fire is determined in combination with the geographic factors of the target area, so that the accuracy of the fire spread prediction is improved, then the position information of the fire point is obtained in real time by using the preset fire monitoring device, and the first grid where the fire point is located is determined according to the position information, and a plurality of second grids for initial spread are determined with the first grid as the center. When the prediction of the fire spread area is performed, the spread speed of each grid needs to be known, at this time, considering that meteorological data also has a great influence on the spread of the fire, the first meteorological information of the first grid is obtained, and the second meteorological information of the second grid is determined according to the first meteorological data and the orientation information of the first grid and the second grid. Then, the spread speed of each second grid is calculated by using the second meteorological data and the first geographic attribute parameter, so that the burning area of each second grid after a predetermined time step is calculated according to the spread speed, and then the burning state of the second grid is determined according to the burning area, and the burning state of the second grid is determined according to the burning state of the second grid. Whether to perform iterative prediction of the spread of the fire with the second grid as the center is determined, so as to improve the accuracy of the prediction of the spread, after a specified spread time, the fire spread grid graph corresponding to the fire point is determined according to the burning state of the second grid and the spread speed of the second grid, the alarm evaluation parameter of the power transmission line is calculated according to the fire spread grid graph, and the fire of the power transmission line is alarmed according to the alarm evaluation parameter, so as to improve the accuracy and timeliness of the alarm.

[0096] Embodiment two

[0097] Another environment adaptive spread prediction power transmission line fire alarm method is disclosed in the embodiment, and the specific implementation process of the alarm method is described in Figure 3 , mainly including steps 301 to 306, which include:

[0098] Step 301: The target area where the power transmission line is located is divided into grids, a plurality of grids corresponding to the target area are obtained, and the attribute of each grid is valued according to the geographic layer corresponding to the target area.

[0099] In the embodiment, the step mainly comprises: dividing the target region according to a preset grid area corresponding to each grid to obtain a plurality of grids corresponding to the target region, and then assigning a geographical attribute to the grid according to a boundary GIS map of the target region and a corresponding geographical layer to generate geographical information corresponding to each grid; the geographical information comprises a grid elevation, a grid water content and a grid coverage vegetation type.

[0100] Specifically, in the embodiment, the target region is divided into 1km*1km grids, a grid division map corresponding to the target region is generated, and then attribute assignment is performed on each grid, including a grid elevation, a grid water content and a grid coverage vegetation type.

[0101] Step 302: obtaining position information of a fire point by a preset monitoring device, determining a first grid where the fire occurs according to the position information, and then determining a plurality of second grids of initial spread with the first grid as the center.

[0102] In the embodiment, the step mainly comprises: selecting a plurality of grids in a Moore neighborhood corresponding to the first grid as the second grids with the first grid as the center according to a preset cellular automaton; the second grids comprise four adjacent grids of the first grid, i.e. above, below, left and right, and four secondary adjacent grids in a diagonal direction of the first grid.

[0103] Specifically, in the embodiment, each grid is taken as a cellular unit, and a Moore neighborhood in a cellular automaton is adopted, that is, the range of action of a single cell is eight cellular units, i.e. four adjacent cells of above, below, left and right plus four secondary adjacent cells in a diagonal direction, which can be referred to as Figure 4 That is, taking the centralmost grid as the center, eight grids are selected, i.e. four adjacent grids of above, below, left and right of the first grid plus four secondary adjacent grids in a diagonal direction.

[0104] Step 303: obtaining first meteorological data corresponding to the first grid, and determining second meteorological data corresponding to each second grid according to the meteorological data and orientation information of each second grid relative to the first grid.

[0105] In the embodiment, the meteorological data is wind speed data, which can be obtained by querying a local meteorological bureau or a national meteorological information center. Since wind speed is a vector parameter with a direction attribute, the first cell in the cell space corresponding to the first grid has eight-direction wind speed projections, which can be referred to as Figure 5 For example, Figure 5As shown, with the center of the first grid as the origin, set OB as the starting axis, and the angle of clockwise reaching OV is φ, thus, the projection of wind OV on OB is Vcosφ, and the projections of the winds in the other seven spreading directions are calculated in the same way, and it is found that the projections of the wind in any direction in the eight directions can be unified by using the angle φ, and the projections of the wind speed in the first grid in the other eight grids are:

[0106]

[0107]

[0108] Step 304: According to the second meteorological data and the geographical attributes of the first grid and the second grid, the fire spreading speed corresponding to each second grid is calculated by a preset spreading speed calculation formula.

[0109] In the embodiment, the step is: first, the calculation process of the spreading speed can refer to Figure 6 , first, the initial spreading index is determined by the wind speed coefficient and the combustible humidity coefficient, then the adaptive spreading speed is obtained by combining the initial spreading index and the vegetation spreading fitting formula, and finally the final spreading speed is obtained by combining the slope coefficient.

[0110] Preferably, the combustible humidity coefficient is the grid water content corresponding to each grid, and the wind speed coefficient is obtained from the wind speed corresponding to each grid and a wind speed coefficient calculation formula, wherein the wind speed coefficient calculation formula and the calculation formula of the initial spreading index are:

[0111] f(W)=e 0.0811W

[0112] f(m)=(91.9e -0.1386m )(1+m 4.65 / 7950000)

[0113] ISI=0.208*f(W)*f(m)

[0114] Wherein, the ISI represents the initial spreading index, the f(W) represents the wind speed correction coefficient, the f(m) represents the combustible moisture content correction coefficient, the W represents the wind speed (mile / h), and the m represents the combustible moisture content (%). Wherein, the grid water content of the grid can be obtained by overlapping the humidity distribution layer of the target area and the geographical grid cell layer divided in the foregoing according to the ArcGIS platform, through the multi-value extraction function in the software, and the weighted average calculation of the humidity attribute of a single grid is completed according to the area ratio of the grid humidity distribution, so as to obtain the humidity attribute of each cell.

[0115] After the initial spread index is obtained, according to different vegetation types covered in different cells and grids, a corresponding spread speed calculation formula is selected to calculate the spread speed adaptive to different types of vegetation. Further, the specific classification table of the vegetation covered on the grid can refer to the following table:

[0116]

[0117] Referring to the above vegetation type table, the spread speed calculation formula corresponding to different types of vegetation is as follows: when the vegetation type belongs to C-1, the corresponding spread speed calculation formula is:

[0118] ISI≤20: R = 0.0788·ISI 1.883

[0119] ISI>20: R = 85·[1-e -0.0378(ISI-12) ]

[0120] When the vegetation type belongs to C-2, the corresponding spread speed calculation formula is:

[0121] R = 112.8·[1-e -0.0323·ISI ] 1.863

[0122] When the vegetation type belongs to C-3, the corresponding spread speed calculation formula is:

[0123] R = 100.3·[1-e -0.0509·ISI ] 3.53

[0124] When the vegetation type belongs to C-4, the corresponding spread speed calculation formula is:

[0125] R = -8.67 + 145.5·[1-e -0.01689·ISI ] 1.00

[0126] When the vegetation type belongs to C-5, the corresponding spread speed calculation formula is:

[0127] ISI≤18: R = 0.01544·ISI 2.16

[0128] ISI>18: R = 30·[1-e -0.0440(ISI-11) ]

[0129] When the vegetation type belongs to C-6, the corresponding spread speed calculation formula is:

[0130] h<10: R = -8.67 + 145.5(1-e -0.01689·ISI ) 1.00

[0131] 10≤h≤20:R=100.3·(1-e -0.0509·ISI ) 3.53

[0132] ISI≤18,h>20:R=0.01544·ISI 2.16

[0133] ISI>18,h>20:R=30·[1-e -0.0440(ISI-11) ]

[0134] When the vegetation type belongs to C-7, then the corresponding calculation formula of the spread speed is:

[0135] ISI≤35:R=0.0201·ISI 1.879

[0136] ISI>35:R=40·[1-e -0.0341(ISI-20) ]

[0137] When the vegetation type belongs to D-1, then the corresponding calculation formula of the spread speed is:

[0138] ISI≤30:R=0.0518·ISI 1.574

[0139] ISI>30:R=30·[1-e -0.0305(ISI-15) ]

[0140] When the vegetation type belongs to M-1, then the corresponding calculation formula of the spread speed is:

[0141] ISI≤30:R=(S / 100)·112.8·(1-e -0.0323·ISI ) 1.863 +(H / 100)·0.0518·ISI 1.574

[0142] ISI>30:R=(S / 100)·112.8·(1-e -0.0323·ISI ) 1.863 +

[0143] (H / 100)·30·[1-e -0.0305·(ISI-15) ]

[0144] When the vegetation type belongs to M-2, then the corresponding calculation formula of the spread speed is:

[0145] ISI≤30:R=(S / 100)·112.8·(1-e -0.0323·ISI ) 1.863 +(H / 100)·0.01036·ISI1.574

[0146] ISI > 30: R = (S / 100) · 112.8 · (1 - e -0.0323·ISI ) 1.863 +

[0147] (H / 100) · 6 · [1 - e -0.0305·(ISI-15) ]

[0148] When the vegetation type belongs to S-1, then the corresponding spread speed calculation formula thereof is:

[0149] ISI ≤ 30: R = 1.486 · ISI

[0150] ISI > 30: R = 75 · [1 - e -0.0501(ISI-12) ]

[0151] When the vegetation type belongs to S-2, then the corresponding spread speed calculation formula thereof is:

[0152] ISI ≤ 40: R = 0.770 · ISI

[0153] ISI > 40: R = 40 · [1 - e -0.0980(ISI-25) ]

[0154] When the vegetation type belongs to S-3, then the corresponding spread speed calculation formula thereof is:

[0155] ISI ≤ 10: R = 0.1011 · ISI 1.992

[0156] ISI > 10: R = 55 · [1 - e -0.0481(ISI-6) ]

[0157] When the vegetation type belongs to O-1, then the corresponding spread speed calculation formula thereof is:

[0158] 1.625 · ISI 0.626 · (C / 100) 4.364 · W

[0159] Among the spread speed calculation formulas corresponding to the different types of vegetation above, ISI represents the initial spread index, H represents the proportion of broad-leaved tree species (%), S represents the proportion of softwood tree species (%), C represents the proportion of dead or solidified combustible (%), h represents the average height of the forest (m), W represents the load of combustible (t / ha), and R represents the adaptive spread speed (m / min).

[0160] After the adaptive spread speed, i.e., the initial spread speed, is obtained, a corresponding slope correction (SF) is calculated according to a geographical slope. The slope is indirectly obtained from Digital Elevation Model (DEM). The source of the national elevation data is the Resource and Environment Science and Data Center of Chinese Academy of Sciences. The elevation attribute of each cell is discretely represented by the average elevation of the cell area, specifically as follows:

[0161]

[0162] Similar to the effect of wind speed, when the central cell starts to spread to the adjacent cells, there are also eight directions of spread speed, which will also produce eight directions of slope correction. The slope between cells is independent of each other, i.e., the slope is directly related to the elevation difference and horizontal distance between the centers of the two cells, and is irrelevant to the third cell. Therefore, in the slope calculation, there are only two cases of adjacent cells or diagonal cells, and the slope correction formula of this embodiment is substituted, and a step function P is used to represent whether the spread direction is uphill or downhill, where the slope correction formula is:

[0163]

[0164]

[0165] In the formula, h A ,h B respectively represent the elevations of the central cell and its neighborhood cells, and a represents the cell side length.

[0166] Finally, the slope correction of the adaptive spread speed is performed to complete the calculation of the final spread speed R f (m / min) as follows:

[0167] R f = R*SF

[0168] Step 305: According to the spread speed and the preset number of iteration times of time steps, the burning state of each second grid is iteratively updated in each time step, and a plurality of third grids are determined as the center of the second grid when the fire point spreads.

[0169] In this embodiment, this step includes: calculating the burning area of each second grid in the time step according to the time step and the spread speed, determining the burning state of the second grid according to the comparison between the burning area and the area of the grid, and then determining a plurality of third grids as the center of the second grid when the second grid is in a completely burning state.

[0170] Specifically, in the embodiment, a grid of a combustion state is defined to reflect the combustion state of the grid by the ratio of the spreading area to the total area of the grid:

[0171]

[0172] In the formula, S combustion represents the area of the grid where the fire spreads; and S cell represents the total area of the grid. When the cell state is represented by the numerical value, there is always At ∈ [0, 1], when At = 0, it represents that the grid has not burned at the t time, that is, the initial state; when At ∈ (0, 1), it represents that the grid is in a partial area burning state at the t time, that is, the spreading state; and when At = 1, the grid is completely burned, and at this time, the grid can spread to the neighboring grid.

[0173] In the preset number of time step iterations, when the updated combustion state of the second grid is completely burned, the second grid is then determined as the center to determine the neighboring grid corresponding to the second grid, the four adjacent grids above, below, left and right of the second grid, and the four secondary adjacent grids in the diagonal direction, to determine a plurality of second grids currently in the completely burned state, and then determine a plurality of third grids corresponding to the second grid, and determine the spreading speed of the third grid according to the preset spreading speed calculation formula and geographical information, meteorological information and the like corresponding to the third grid, calculate the combustion state of the third grid according to the spreading speed, and determine a plurality of grids where the fire point spreads in the number of time step iterations through the iterative update of the combustion state.

[0174] Step 306: combining the first grid, the second grid and the third grid, generating a fire spread prediction grid map of the fire point, and then calculating the line flame relative distance, the line flame absolute distance and the spreading coverage area of the power transmission line and the fire spread prediction grid map of the fire point according to the position of the power transmission line in the grid map corresponding to the target area, and alarming the fire disaster of the power transmission line according to the line flame relative distance, the line flame absolute distance and the spreading coverage area.

[0175] In the embodiment, the step includes: judging the line flame relative distance, the line flame absolute distance and the spreading coverage area according to the preset line flame relative distance threshold, the line flame absolute distance threshold and the spreading coverage area threshold in the preset alarm information level table, respectively, to obtain the fire alarm level corresponding to the power transmission line.

[0176] Specifically, in the embodiment, according to the above spreading prediction step, after a certain time step, the spreading prediction grid map of the fire point is output, the line flame relative distance, the line flame absolute distance and the spreading coverage area are calculated in combination with the position of the power transmission line in the grid map corresponding to the target area, and specifically, the spreading prediction grid map can refer to Figure 7 In Figure 7 , the L1 is the line flame relative distance, the L2 is the line flame absolute distance, and different threshold values defined for the three parameters are used to distinguish the fire prediction of the power transmission line and give an alarm, and specifically, the defined different threshold values can refer to the following table:

[0177]

[0178] Referring to the above set alarm level threshold table, the maximum alarm information in the three items is taken as the final alarm signal, that is, when the line flame relative distance corresponds to a first level warning, and the line flame absolute distance or the spreading coverage area corresponds to a second level warning or a third level warning, the level corresponding to the line flame relative distance is selected to alarm the fire situation of the power transmission line, that is, the disaster level of the current power transmission line is evaluated as a first level warning.

[0179] The power transmission line fire alarm method of the environment adaptive spreading prediction disclosed in the embodiment establishes an adaptive forest fire spreading prediction method to make up for the shortcomings of the Wang Zhengfei model and the Rothermel model in the field of spreading prediction, and couples the cellular automaton model to complete the prediction visualization of the model on the trend of forest fire spreading, and three forest fire spreading risk evaluation parameters are proposed to make multi-angle evaluation on the forest fire risk and enrich the forest fire alarm strategy of the power grid.

[0180] The above specific embodiments further detail the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above description is only a specific embodiment of the present application and is not intended to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A power line fire alarm method of environmental adaptive spread prediction, characterized by, The method comprises the following steps: acquiring position information of a fire point by a preset fire point monitoring device, and determining a first grid where the fire point is located according to the position information and a region grid map obtained by previously constructing a grid division of a target region where a power transmission line is located; determining a plurality of second grids where the fire point initially spreads, with the first grid as the center, and obtaining corresponding geographical information of each of the plurality of second grids in combination with a corresponding geographical layer of the target region; acquiring first meteorological data corresponding to the first grid, and determining second meteorological data corresponding to each of the second grids according to the meteorological data and the orientation information of each of the second grids with respect to the first grid; calculating the spreading speed corresponding to each of the second grids according to the second meteorological data and the geographical information by using a preset spreading speed calculation formula; in each time step, iteratively updating the burning state corresponding to each of the second grids according to the spreading speed and a preset time step iteration number, and determining a plurality of third grids where the fire point spreads again, with the second grid as the center, according to the burning state; obtaining a fire spread trend grid map of the fire point in the region grid map in combination with the first grid, the plurality of second grids and the plurality of third grids, calculating a fire alarm evaluation parameter corresponding to the power transmission line according to the fire spread trend grid map, and obtaining fire alarm information corresponding to the power transmission line according to the fire alarm evaluation parameter.

2. A method for environmental adaptive spread prediction of power line fire alarm as claimed in claim 1 wherein, The method comprises the following steps: selecting a plurality of grids in a Moore-type neighborhood corresponding to the first grid as the second grids with the first grid as the center according to a preset cellular automaton; the second grids include four adjacent grids of the first grid, i.e., the upper, lower, left and right grids, and four secondary adjacent grids in the diagonal direction of the first grid; assigning geographical attributes to each of the plurality of second grids according to the boundary GIS map and the corresponding geographical layer of the target region to generate the geographical information corresponding to each of the second grids; the geographical information includes the grid elevation, the grid water content and the grid coverage vegetation type.

3. A method for environmental adaptive spread prediction based power line fire warning as claimed in claim 1 wherein, The method comprises the following steps: real-time querying a meteorological information center according to the position information of the first grid to obtain the first wind speed corresponding to the first grid; calculating the wind speed projected into each of the second grids from the first wind speed according to the spatial orientation information of the second grids with respect to the first grid to obtain the second wind speed corresponding to each of the second grids.

4. A method for environmental self-adapting spread prediction based power line fire warning as claimed in claim 1, wherein, The second grid corresponding to the spread speed is calculated according to the second meteorological data and the geographic information through a preset spread speed calculation formula, and the spread speed calculation formula includes: A wind speed correction coefficient of each second grid is determined according to the second wind speed of the second grid through a preset wind speed coefficient calculation formula, wherein the wind speed correction coefficient calculation formula is: A combustible moisture correction coefficient of each second grid is determined according to the grid moisture content of the second grid through a preset combustible moisture content correction coefficient calculation formula; A spread index of each second grid is calculated according to the wind speed coefficient and the combustible moisture content correction coefficient through a preset spread index calculation formula; According to the grid coverage vegetation type corresponding to each second grid, a spread speed calculation formula corresponding to the grid coverage vegetation type is matched, and an initial spread speed corresponding to each second grid is obtained in combination with the spread index of each second grid.

5. A method of environmental self-adapting spread-forecasting power line fire warning as claimed in claim 4, characterized in that, The spread speed corresponding to each second grid is calculated through the preset spread speed calculation formula, and the spread speed calculation formula further includes: According to the grid elevation of each second grid, the grid elevation is discretely processed through a preset slope correction formula to obtain an elevation attribute corresponding to each second grid; The initial spread speed is corrected according to the elevation attribute to obtain the spread speed corresponding to each second grid.

6. A method for environmental self-adapting spread prediction based power line fire warning as claimed in claim 1, wherein, The burning state corresponding to each second grid is iteratively updated, and a plurality of third grids are determined according to the burning state when the fire point is re-spread from the second grid as the center, and the system includes a fire point monitoring module, an information assignment module, a meteorological projection module, a spread calculation module, an iterative updating module and a fire alarm module. The spread area of the second grid is calculated according to the spread speed and the time step, and the burning state of the second grid is determined according to the spread area and the grid area of the second grid; When the spread area is equal to the grid area of the second grid, the burning state is determined as a complete combustion state, and then a plurality of third grids are determined when the fire point is re-spread from the second grid as the center.

7. A method for environmental self-adapting spread prediction based power line fire warning as claimed in claim 1, wherein, The fire alarm evaluation parameter corresponding to the power transmission line is calculated according to the fire spread trend grid, and the fire alarm information corresponding to the power transmission line is obtained according to the fire alarm evaluation parameter, and the system includes a fire point monitoring module, an information assignment module, a meteorological projection module, a spread calculation module, an iterative updating module and a fire alarm module. The line flame relative distance, the line flame absolute distance and the spread coverage area of the fire spread trend grid are calculated according to the fire spread trend grid and the position of the power transmission line in the area grid, and the system includes a fire point monitoring module, an information assignment module, a meteorological projection module, a spread calculation module, an iterative updating module and a fire alarm module. The line flame relative distance, the line flame absolute distance and the spread coverage area are judged according to the preset line flame relative distance threshold, the line flame absolute distance threshold and the spread coverage area threshold in the preset alarm information level table to obtain the fire alarm level corresponding to the power transmission line.

8. An environmental adaptive spread prediction power line fire alarm system, characterized by, The system includes a fire point monitoring module, an information assignment module, a meteorological projection module, a spread calculation module, an iterative updating module and a fire alarm module. The fire point monitoring module is configured to acquire position information of a fire point by a preset fire point monitoring device, and determine a first grid where the fire point is located according to the position information and a region grid map obtained by pre-constructing a grid division of a target region where a power transmission line is located; The information assignment module is configured to determine a plurality of second grids where the fire point initially spreads, with the first grid as a center, and obtain geographic information corresponding to each of the second grids in combination with a geographic layer corresponding to the target region; The weather projection module is configured to acquire first weather data corresponding to the first grid, and determine second weather data corresponding to each of the second grids according to the weather data and orientation information of each of the second grids with the first grid; The spread calculation module is configured to calculate a spread speed corresponding to each of the second grids according to the second weather data and the geographic information by using a preset spread speed calculation formula; The iterative update module is configured to iteratively update a burning state corresponding to each of the second grids in each time step according to the spread speed and a preset time step iteration number, and determine a plurality of third grids where the fire point spreads again, with the second grid as a center, according to the burning state; The fire alarm module is configured to obtain a fire spread trend grid map of the fire point in the region grid map in combination with the first grid, the plurality of second grids and the plurality of third grids, calculate a fire alarm evaluation parameter corresponding to the power transmission line according to the fire spread trend grid map, and obtain fire alarm information corresponding to the power transmission line according to the fire alarm evaluation parameter.

9. An environmentally adaptive spread predicting power line fire warning system as defined in claim 8 wherein, The information assignment module includes a region division unit and an information assignment unit; The region division unit is configured to select a plurality of grids in a Moore type neighborhood corresponding to the first grid as the second grids, with the first grid as a center, according to a preset cellular automaton; the second grids include four adjacent grids of the first grid and four secondary adjacent grids in diagonal directions of the first grid; The information assignment unit is configured to assign a geographic attribute to each of the second grids according to a boundary GIS map and a corresponding geographic layer of the target region, and generate geographic information corresponding to each of the second grids; The geographic information includes a grid elevation, a grid water content and a grid coverage vegetation type.

10. An environmentally adaptive spread predicting power line fire warning system as defined in claim 8 wherein, The weather projection module includes a weather query unit and a data projection unit; The weather query unit is configured to query a weather information center in real time according to position information of the first grid, and obtain a first wind speed corresponding to the first grid; The data projection unit is configured to calculate a wind speed projected into each of the second grids from the first wind speed according to spatial orientation information of the second grids with the first grid, and obtain a second wind speed corresponding to each of the second grids.

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