Early warning method and system suitable for large-scale power transmission tower rainstorm landslide

Abstract

The embodiment of the application provides a kind of early warning method and system suitable for large-scale power transmission tower rainstorm landslide, belong to disaster prediction technical field.The early warning method includes: the region to be early warned is divided into multiple grids;The early warning initial guess value of the grid divided out is calculated respectively;According to the early warning initial guess value, determine whether each grid will occur rainstorm landslide disaster;Judge whether the resolution of current grid is less than or equal to preset value;In the case where the resolution is less than or equal to the preset value, the distribution of the grid and power transmission tower is matched to determine the early warning scheme of power transmission tower.The early warning method and system can early warn rainstorm landslide disaster.

Description

Technical Field

[0001] This invention relates to the field of disaster prediction technology, specifically to an early warning method and system applicable to large-scale rainstorm-induced geological landslides on power transmission towers. Background Technology

[0002] In recent years, with global climate change and the increasing frequency of extreme weather disasters, landslides caused by rainstorms have led to a growing number of power transmission lines being damaged and shut down. In late June 2017, heavy rains caused over 300 landslides near the main power grid towers in Hunan Province. In July 2019, heavy rains in Hunan Province caused landslides on more than 30 main power grid lines. Rainstorm-induced landslides have become one of the major hazards threatening the safe operation of power lines.

[0003] Actual investigations have revealed that landslides along power transmission lines exhibit strong local characteristics. This is primarily due to the localized nature of the torrential rains that cause frequent summer landslides, often described as "point-like rainstorms." Therefore, accurate landslide prediction requires, first and foremost, refined precipitation forecasts. However, the highest grid resolution for current national precipitation forecasts is only 3–10 km, which is insufficient for refined precipitation forecasting. Furthermore, conducting nationwide precipitation forecasts at resolutions of 500 meters and higher is often impractical due to the enormous computational demands. Currently, there is a lack of refined prediction products for large-scale landslides. Summary of the Invention

[0004] The purpose of this invention is to provide an early warning method and system for landslides caused by rainstorms on a large scale for power transmission towers. This method and system can provide early warning of landslide disasters caused by rainstorms.

[0005] To achieve the above objectives, embodiments of the present invention provide an early warning method applicable to large-scale rainstorm-induced landslides affecting power transmission towers, comprising:

[0006] The area to be warned is divided into multiple grids;

[0007] Calculate the initial warning value for each of the divided grids;

[0008] Based on the initial warning value, determine whether a rainstorm landslide disaster will occur in each of the grids;

[0009] Determine if the resolution of the current grid is less than or equal to a preset value;

[0010] If the resolution is determined to be less than or equal to the preset value, the distribution of the grid and the transmission towers is matched to determine the early warning scheme for the transmission towers.

[0011] Optionally, the early warning method further includes:

[0012] In a case where it is determined that the resolution of the current grid is greater than the preset value, a grid where a rainstorm landslide disaster occurs is selected, the resolution of the selected grid is reduced, and the step of dividing the area to be warned into multiple grids is performed again.

[0013] Optionally, the preliminary warning value of each grid is calculated respectively, including:

[0014] The preliminary warning value is calculated according to formula (1),

[0015] z=A0+A1R+A2R+A3G, (1) d +A2R p +A3G, (1)

[0016] wherein z is the preliminary warning value, A0, A1, A2 and A3 are multiple regression coefficients, R d is the daily rainfall of the area in the grid in the next 24 hours, R p is the cumulative effective rainfall of the area in the grid in a predetermined time period before the current time point, and G is the geological disaster potential index of the area in the grid.

[0017] Optionally, the preliminary warning value of each grid is calculated respectively, including:

[0018] The cumulative effective rainfall is calculated according to formula (2),

[0019]

[0020] wherein n is the time of the cumulative effective rainfall, k i is the effective rainfall coefficient of the previous i days, R i is the live rainfall of the previous i days.

[0021] Optionally, the preliminary warning value of each grid is calculated respectively, including:

[0022] The daily rainfall of the area in the grid in the next 24 hours is determined by using a prediction model.

[0023] Optionally, the prediction model is a WRF model, the number of layers of the WRF model is 3, the ratio of the resolutions of the grids of each layer is 1, 5 and 3, the resolution of the grid of the first layer is 7500 meters, the resolution of the grid of the second layer is 1500 meters, the resolution of the grid of the third layer is 500 meters, the number of grid points in the east direction is 500, 501 and 40 respectively, the number of grid points in the west direction is 500, 501 and 40 respectively, the projection mode of the map is a Lambert projection, and the basic terrain resolution is 30s.

[0024] Optionally, the grid and the distribution of power transmission towers are matched to determine a warning scheme for the power transmission towers, including:

[0025] According to formula (3), the distance of the power transmission tower to each grid in the vicinity is calculated,

[0026]

[0027] Wherein, D i is the distance of the i-th grid to the power transmission tower, X i , Y i is the position coordinate of the i-th grid, X0, Y0 is the position coordinate of the power transmission tower;

[0028] The grid with the smallest distance is selected as the early warning initial guess value of the power transmission tower.

[0029] Optionally, the distribution of the grid and the power transmission tower is matched to determine the early warning scheme of the power transmission tower, comprising:

[0030] According to formula (4) to formula (6), the geological disaster potential degree index of the power transmission tower is determined,

[0031]

[0032]

[0033]

[0034] Wherein, D i is the distance of the grid to the power transmission tower, X i,j , Y i,j is the position coordinate of the i-th grid in the j-th row, X0, Y0 is the position coordinate of the power transmission tower, F i,j is the inverse distance weight calculated according to the distance, G i,j is the geological disaster potential degree index of the i-th grid in the j-th row, G ′ is the geological disaster potential degree index of the power transmission tower;

[0035] The early warning initial guess value is calculated according to the geological disaster potential degree index.

[0036] In another aspect, the application also provides a warning system suitable for large-scale power transmission tower rainstorm geological landslide, the warning system comprising a processor, the processor is used for:

[0037] The area to be warned is divided into a plurality of grids;

[0038] The early warning initial guess value of the divided grid is calculated respectively;

[0039] According to the early warning initial guess value, it is determined whether each grid will occur rainstorm landslide disaster;

[0040] determining whether a resolution of a current grid is less than or equal to a preset value;

[0041] In a case where it is determined that the resolution is less than or equal to the preset value, matching the grid and distribution of power transmission towers is performed to determine a pre-warning scheme of the power transmission towers.

[0042] Optionally, the processor is further configured to:

[0043] In a case where it is determined that the resolution of the current grid is greater than the preset value, a grid in which a rainstorm landslide disaster occurs is selected, the resolution of the selected grid is reduced, and the step of dividing the area to be pre-warned into a plurality of grids is performed again.

[0044] Optionally, the processor is further configured to:

[0045] calculating the pre-warning initial guess value according to formula (1),

[0046] z=A0+A1R+A2R+A3G, (1) d p

[0047] wherein z is the pre-warning initial guess value, A0, A1, A2 and A3 are multiple regression coefficients, R is a daily rainfall of an area in the grid in the next 24 hours, R is a cumulative effective rainfall of the area in the grid in a predetermined time period until a current time point, and G is a geological disaster potential index of the area in the grid. d p

[0048] Optionally, the processor is further configured to:

[0049] calculating the cumulative effective rainfall according to formula (2),

[0050]

[0051] wherein n is a time of the cumulative effective rainfall, k is an effective rainfall coefficient of the previous i days, R is a live rainfall of the previous i days. i i

[0052] Optionally, the processor is further configured to:

[0053] determining the daily rainfall of the area in the grid in the next 24 hours by using a prediction model.

[0054] ​​​​​​Optionally, the prediction model is a WRF model, and the WRF model has three layers of grids, the ratio of the resolutions of the grids of each layer is 1, 5, 3, the resolution of the grids of the first layer is 7500 meters, the resolution of the grids of the second layer is 1500 meters, the resolution of the grids of the third layer is 500 meters, the number of grid points in the east direction is 500, 501, 40 respectively, the number of grid points in the west direction is 500, 501, 40, the projection mode of the map is a Lambert projection, and the base terrain resolution is 30s.

[0055] Optionally, the processor is further configured to:

[0056] calculate the distance from the power transmission tower to each grid in the vicinity according to formula (3),

[0057]

[0058] wherein D i is the distance from the i-th grid to the power transmission tower, X i , Y i are the position coordinates of the i-th grid, X0, Y0 are the position coordinates of the power transmission tower;

[0059] select the grid with the smallest distance as the early warning initial guess value of the power transmission tower.

[0060] Optionally, the processor is further configured to:

[0061] determine the geological disaster potential degree index of the power transmission tower according to formula (4) to formula (6),

[0062]

[0063]

[0064]

[0065] wherein D i is the distance from the grid to the power transmission tower, X i,j , Y i,j are the position coordinates of the i-th grid in the i-th row, X0, Y0 are the position coordinates of the power transmission tower, F i,j is the inverse distance weight calculated according to the distance, G i,j is the geological disaster potential degree index of the j-th grid in the i-th row, G ′ is the geological disaster potential degree index of the power transmission tower;

[0066] calculate the early warning initial guess value according to the geological disaster potential degree index.

[0067] In still another aspect, the present application also provides a computer readable storage medium storing instructions configured to perform the early warning method according to any one of the above aspects.

[0068] By the above technical solution, the early warning method and system suitable for large-scale transmission tower rainstorm geological landslide provided by the embodiment of the present application can realize early warning of disasters for each transmission tower by performing grid division in the interval to be warned, performing disaster assessment on each grid, and finally matching the transmission tower distribution and the grid to obtain disaster early warning information of each transmission tower.

[0069] Other features and advantages of the embodiment of the present application will be described in detail in the following specific implementation part. BRIEF DESCRIPTION OF DRAWINGS

[0070] The accompanying drawings are included to provide a further understanding of the embodiment of the present application, and constitute a part of the specification, and are used together with the following specific implementation to explain the embodiment of the present application, but do not constitute a limitation on the embodiment of the present application. In the drawings:

[0071] Figure 1 is a flowchart of the early warning method suitable for large-scale transmission tower rainstorm geological landslide according to an embodiment of the present application. DETAILED DESCRIPTION

[0072] The specific implementation of the embodiment of the present application will be described in detail below in combination with the drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present application, and does not limit the embodiment of the present application.

[0073] In the embodiment of the present application, the orientation words such as "upper", "lower", "top", "bottom" used without contrary description are generally directed to the direction shown in the drawings or the position relationship description words of the components in the vertical, perpendicular or gravity direction.

[0074] In addition, if the description of "first", "second" and the like is involved in the embodiment of the present application, the description of "first", "second" and the like is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the realization of the ordinary skilled in the art, when the combination of the technical solutions appears contradictory or unachievable, it should be considered that the combination of the technical solutions does not exist, and is not within the protection scope required by the present application.

[0075] As Figure 1A flow chart of a warning method suitable for large-scale power transmission tower rainstorm geological landslide according to an embodiment of the present application is shown. In this Figure 1 embodiment, the warning method can include the following steps:

[0076] In step S10, the area to be warned is divided into multiple grids;

[0077] In step S11, the warning initial guess value of each divided grid is calculated respectively;

[0078] In step S12, it is determined whether rainstorm landslide disaster will occur in each grid according to the warning initial guess value;

[0079] In step S13, it is determined whether the resolution of the current grid is less than or equal to a preset value;

[0080] In step S14, in the case where the resolution is less than or equal to the preset value, the distribution of the grid and the power transmission tower is matched to determine the warning scheme of the power transmission tower.

[0081] In this warning method as shown, Figure 1 Step S10 is used to divide the area to be warned into multiple grids, so as to facilitate the calculation of the warning initial guess value of each grid. As for the form of dividing the grids, it can be various forms known by those skilled in the art. For example, the grids can be directly divided on the area with predetermined length and width. Considering that most of the areas to be warned are in irregular state, at this time, the edge grids can be protruded from the area, so as to ensure that each grid is complete.

[0082] Step S11 is used to calculate the warning initial guess value of each divided grid respectively. The warning initial guess value can be used to preliminarily evaluate the occurrence of disaster in each grid. As for the specific way of determining the warning initial guess value, it can be various ways including but not limited to the rainfall, geological analysis, historical data and the like known by those skilled in the art. In an example of the present application, in order to comprehensively refer to multiple factors and realize more accurate warning, the way of determining the warning initial guess value can be to calculate by using formula (1),

[0083] z=A0+A1R d +A2R p +A3G, (1)

[0084] wherein z is the warning initial guess value, A0, A1, A2 and A3 are multiple regression coefficients, R d is the daily rainfall of the area within the grid in the next 24 hours, R p is the cumulative effective rainfall of the area within the grid in a predetermined time period until the current time point, and G is the geological disaster potential index of the area within the grid.

[0085] In the formula (1), the daily rainfall and the cumulative effective rainfall, considering the large area of the grid, in the actual calculation, the average daily rainfall and the average cumulative effective rainfall can be selected, or the average daily rainfall and the average cumulative effective rainfall of the predetermined fixed point (such as the center point and / or the four vertices, etc.) in the grid can be selected. The cumulative effective rainfall can be calculated by formula (2),

[0086]

[0087] Wherein, n is the time of the cumulative effective rainfall, k i is the effective rainfall coefficient of the previous i days, R i is the actual rainfall of the previous i days.

[0088] The geological disaster potential index is used to evaluate the probability of landslide accidents in the current area, which mainly involves the influencing factors including the local annual rainfall distribution and the vegetation area ratio, etc., which can be directly obtained by querying the local geological data.

[0089] For the way to obtain the daily rainfall of the area in the grid in the next 24 hours, there are many forms known to those skilled in the art. In order to ensure the accuracy of the data, in one example of the present application, a prediction model can be used to obtain the daily rainfall. For the prediction model, there are many models known to those skilled in the art. In one example of the present application, the prediction model can be a WRF model, and the grid layer number (max_dom) of the WRF model is 3, the ratio of the resolution of each layer grid (parent_grid_ratio) is 1, 5, 3, the resolution (dx, dy) of the grid of the first layer is 7500 meters, the resolution of the second layer is 1500 meters, the resolution of the third layer is 500 meters, the number of grid points in the east direction (e_we) is 500, 501, 40, the number of grid points in the west direction (e_sn) is 500, 501, 40, the projection method of the map (map_proj) is lambert projection, and the base terrain resolution (geog_data_res) is 30s. The specific values are shown in Table 1 as follows:

[0090] Table 1

[0091]

[0092] Step S12 can be used to determine whether each grid will occur a rainstorm landslide disaster according to the early warning initial guess value. Specifically, the method for judging the rainstorm landslide disaster can be to preset a threshold, and the grid with the early warning initial guess value greater than the threshold is determined to occur a rainstorm landslide disaster; the grid with the early warning initial guess value less than or equal to the threshold is determined to not occur a rainstorm landslide disaster.

[0093] Step S13 can be used to determine whether the resolution of the current grid is less than or equal to a preset value. In this early warning method, since the power transmission tower and the grid need to be matched subsequently, if the area of the grid is too large, it will cause the regional disaster early warning of the power transmission tower matching to be inaccurate or insufficient in accuracy. Therefore, in this embodiment, it is necessary to determine the resolution of the current grid to determine whether matching can be performed.

[0094] In the case where the resolution is less than or equal to the preset value, step S14 can be performed to perform matching. Step S14 can be used to match the distribution of the grid and the power transmission tower to determine the early warning scheme of the power transmission tower. For the specific method of the matching, in an example of the present application, the matching method can be to first calculate the distance of the power transmission tower to each grid in the vicinity according to formula (3),

[0095]

[0096] wherein D i is the distance of the i-th grid to the power transmission tower, X i , Y i is the position coordinate of the i-th grid, X0, Y0 is the position coordinate of the power transmission tower. Then, the grid with the smallest distance is selected as the landslide early warning reference of the power transmission tower, and the early warning initial guess value of the selected grid is taken as the early warning initial guess value of the power transmission tower. Wherein, considering that the grid is a region, the distance cannot be directly calculated by the region, therefore, a fixed point (such as a midpoint and / or four vertices, etc.) in the grid can be selected to represent the position of the grid.

[0097] In another example of the present application, since the grids around the power transmission tower will all have an impact on the power transmission tower, therefore, it is also possible to consider combining multiple grids (such as 9 or 4) around the power transmission tower as a reference for evaluating whether the power transmission tower has a rainstorm landslide disaster. Specifically, it can be to first determine the geological disaster potential index of the power transmission tower according to formula (4) to formula (6),

[0098]

[0099]

[0100]

[0101] wherein D i is the distance of the grid to the power transmission tower, X i,j , Y i,j is the position coordinate of the i-th grid in the j-th row, X0, Y0 is the position coordinate of the power transmission tower, F i,j is the inverse distance weight calculated according to the distance, Gi,j Gij is the geological disaster potential index of the i-th row and j-th grid ′ Gij is the geological disaster potential index of the transmission tower. Then, the early warning initial guess value of the transmission tower is calculated again according to the geological disaster potential, so as to determine whether the transmission tower will occur rainstorm landslide disaster. Wherein, considering that the grid is a region, the distance cannot be directly calculated by the region, therefore, a fixed point (such as the midpoint) in the grid can be selected to represent the position of the grid.

[0102] In this embodiment, considering the calculation capacity of the prediction model itself, a larger resolution, such as 7500m, is required as the division standard when initially dividing the resolution. In the process of prediction model classification iteration, the accuracy of grid division is improved by continuously reducing the resolution, so as to facilitate the accurate matching of step S14. Therefore, step S13 also occurs when the resolution of the current grid is greater than the preset value. In the case where the resolution of the current grid is greater than the preset value, step S15 can be executed at this time. In this step S15, in order to reduce the running efficiency of the algorithm, the grid where the rainstorm landslide disaster occurs can be selected first, and the resolution of the selected grid is reduced, then the selected grid is taken as a new area to be warned, and step S10 is returned to execute by iteration to obtain an accurate grid model. In addition, although the above-mentioned preset value for judging whether the resolution meets the requirements can be directly preset by the person skilled in the art. However, considering that the direct preset by human beings depends on experience, therefore, in one example of the present application, the preset value can also be calculated by the minimum distance of the transmission tower. For example, the minimum distance can be directly selected as the preset value.

[0103] On the other hand, the present application also provides a warning system suitable for large-scale transmission tower rainstorm geological landslide, the warning system comprises a processor, the processor is configured to execute the warning method as described in any of the above. The warning method can be as shown in the steps. Specifically: Figure 1

[0104] In step S10, the area to be warned is divided into a plurality of grids;

[0105] In step S11, the early warning initial guess value of each divided grid is calculated respectively;

[0106] In step S12, it is determined whether each grid will occur rainstorm landslide disaster according to the early warning initial guess value;

[0107] In step S13, it is determined whether the resolution of the current grid is less than or equal to the preset value;

[0108] ​In step S14, if the resolution is less than or equal to a preset value, the distribution of the grid and the transmission towers are matched to determine the early warning scheme for the transmission towers.

[0109] In such Figure 1 In the illustrated early warning method, step S10 is used to divide the area to be warned into multiple grids, thereby facilitating the calculation of the initial early warning value for each grid. The grid division method can be of various forms known to those skilled in the art. For example, the grid can be directly divided into grids with a predetermined length and width. Considering that most areas to be warned are irregular, the grid edges can be made to protrude from the area, thus ensuring that each grid is complete.

[0110] Step S11 is used to calculate the initial warning value for each of the divided grids. This initial warning value can be used to preliminarily assess the disaster situation in each grid. The specific method for determining this initial warning value can include, but is not limited to, various methods known to those skilled in the art, such as rainfall, geological analysis, and historical data. In one example of the present invention, in order to comprehensively consider multiple factors and achieve a more accurate warning, the initial warning value can be determined using formula (1).

[0111] z = A0 + A1R d +A2R p +A3G, (1)

[0112] Where z is the initial prediction value for the early warning, A0, A1, A2, and A3 are multiple regression coefficients, and R0 is the initial value for the early warning. d R represents the daily rainfall for the area within the grid over the next 24 hours. p G represents the cumulative effective rainfall within the grid area up to the current time point within the predetermined time period, and G is the geological hazard potential index of the grid area.

[0113] In formula (1), considering the large area of ​​the grid, the daily rainfall and cumulative effective rainfall can be calculated using either the average daily rainfall and average cumulative effective rainfall, or the average daily rainfall and average cumulative effective rainfall at predetermined fixed points in the grid (e.g., the center point and / or the four vertices). The cumulative effective rainfall can then be calculated using formula (2).

[0114]

[0115] Where n represents the time period of cumulative effective rainfall, and k i R is the effective rainfall coefficient for the previous i days. i This represents the actual rainfall of the previous day (i).

[0116] The geological disaster potential index is used to evaluate the probability of landslide accidents in the current area, and mainly involves the influencing factors including the local annual rainfall distribution and the vegetation area ratio, etc., which can be directly obtained by querying the local geological data.

[0117] The way to obtain the daily rainfall of the area in the grid in the next 24 hours can be various forms known to those skilled in the art. In order to ensure the accuracy of the data, in an example of the present application, a prediction model can be used to obtain the daily rainfall. For the prediction model, various models known to those skilled in the art can be used. In an example of the present application, the prediction model can be a WRF model, and the grid layer number (max_dom) of the WRF model is 3, the ratio of the resolution of each layer grid (parent_grid_ratio) is 1, 5, 3, the resolution of the grid of the first layer (dx, dy) is 7500 meters, the resolution of the second layer is 1500 meters, the resolution of the third layer is 500 meters, the number of grid points in the east direction (e_we) is 500, 501, 40, the number of grid points in the west direction (e_sn) is 500, 501, 40, the projection method of the map (map_proj) is lambert projection, and the base terrain resolution (geog_data_res) is 30s, as shown in Table 1 above.

[0118] Step S12 can be used to determine whether each grid will have a rainstorm landslide disaster according to the early warning initial guess value. Specifically, the method for judging the rainstorm landslide disaster can be to preset a threshold, and the grid with an early warning initial guess value greater than the threshold is determined to have a rainstorm landslide disaster; and the grid with an early warning initial guess value less than or equal to the threshold is determined to not have a rainstorm landslide disaster.

[0119] Step S13 can be used to determine whether the resolution of the current grid is less than or equal to a preset value. In the early warning method, since the power transmission tower and the grid need to be matched subsequently, if the area of the grid is too large, it will cause the disaster early warning of the area matched with the power transmission tower to be inaccurate or insufficient in accuracy. Therefore, in this embodiment, it is necessary to determine the resolution of the current grid to determine whether the matching can be performed.

[0120] In the case where the resolution is less than or equal to the preset value, step S14 can be performed to perform the matching. Step S14 can be used to match the distribution of the grid and the power transmission tower to determine the early warning scheme of the power transmission tower. For the specific method of the matching, in an example of the present application, the matching method can be to first calculate the distance from the power transmission tower to each grid in the vicinity according to formula (3),

[0121]

[0122] wherein Di D i i i is the position coordinate of the i-th grid, and X0, Y0 are the position coordinates of the power transmission tower. Then, the grid with the minimum distance is selected as the landslide warning reference of the power transmission tower, and the warning initial guess value of the selected grid is taken as the warning initial guess value of the power transmission tower. Wherein, considering that the grid is a region, the distance cannot be directly calculated by the region, and therefore, a fixed point (such as a midpoint and / or four vertices, etc.) in the grid can be selected to represent the position of the grid.

[0123] In another example of the present application, since the grids around the power transmission tower will all have an impact on the power transmission tower, a plurality of grids (such as 9 or 4) around the power transmission tower can also be considered as a reference for evaluating whether the power transmission tower will have a rainstorm landslide disaster. Specifically, the geological disaster potential degree index of the power transmission tower can be first determined according to the formulas (4) to (6),

[0124]

[0125]

[0126]

[0127] wherein D i is the distance of the grid to the power transmission tower, X i,j , Y i,j is the position coordinate of the i-th grid in the j-th row, and X0, Y0 are the position coordinates of the power transmission tower, F i,j is the inverse distance weight calculated according to the distance, G i,j is the geological disaster potential degree index of the i-th grid in the j-th row, and G ′ is the geological disaster potential degree index of the power transmission tower. Then, the warning initial guess value of the power transmission tower is calculated again according to the geological disaster potential degree, so as to determine whether the power transmission tower will have a rainstorm landslide disaster. Wherein, considering that the grid is a region, the distance cannot be directly calculated by the region, and therefore, a fixed point (such as a midpoint) in the grid can be selected to represent the position of the grid.

[0128] In this embodiment, since the computing capacity of the prediction model itself is considered, a larger resolution, for example, 7500m, is required as the division standard when the initial division resolution is performed. In the process of the prediction model classification iteration, the accuracy of the grid division is improved by continuously reducing the resolution, thereby facilitating the accurate matching of step S14. Therefore, step S13 also has a case of judging that the resolution of the current grid is greater than the preset value. In the case of judging that the resolution of the current grid is greater than the preset value, step S15 can be performed at this time. In this step S15, in order to reduce the running efficiency of the algorithm, the grid where the rainstorm landslide disaster occurs can be selected first, and the resolution of the selected grid is reduced, and then the selected grid is taken as a new area to be warned, and step S10 is returned to be executed, and the accurate grid model is obtained by repeatedly iterating. In addition, although the above-mentioned preset value for judging whether the resolution meets the requirement can be directly preset by the person skilled in the art. However, considering that the direct preset by the human being depends on the experience, in an example of the present application, the preset value can also be calculated by the minimum distance of the power transmission tower. For example, the minimum distance can be directly selected as the preset value.

[0129] In another aspect, the present application also provides a computer readable storage medium, which stores instructions configured to execute the warning method according to any one of the above.

[0130] Through the above technical solution, the warning method and system suitable for large-scale rainstorm landslide of power transmission towers provided by the embodiment of the present application can perform grid division in the interval to be warned, perform disaster assessment on each grid, and finally perform matching between the power transmission tower distribution and the grid, so as to obtain the disaster warning information of each power transmission tower, thereby realizing the disaster warning of each power transmission tower.

[0131] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer usable program codes.

[0132] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0133] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0134] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0135] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0136] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, for storing instructions and data used and / or generated by the computing device. The memory can also include non-volatile memory, such as read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other non-volatile memory.

[0137] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0138] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0139] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method for early warning of rainstorm geological landslide for long-distance power transmission tower, characterized in that, The early warning method comprises: dividing a region to be warned into a plurality of grids; calculating early warning initial guess values of the divided grids respectively; determining whether each of the grids will have a rainstorm landslide disaster according to the early warning initial guess values; judging whether a resolution of a current grid is less than or equal to a preset value; in a case where the resolution is judged to be less than or equal to the preset value, matching the grid and a distribution of power transmission towers to determine an early warning scheme of the power transmission towers.

2. The early warning method of claim 1, wherein, The early warning method further comprises: in a case where the resolution of the current grid is judged to be greater than the preset value, selecting a grid where a rainstorm landslide disaster occurs, reducing a resolution of the selected grid, and returning to execute the step of dividing the region to be warned into the plurality of grids.

3. The early warning method of claim 1, wherein, The calculating of the early warning initial guess values of the divided grids respectively comprises: calculating the early warning initial guess values according to formula (1), z = A0+ A1R + A2R2+ A3G, (1) d z = A0+ A1R + A2R2+ A3G, (1) p z = A0+ A1R wherein z is the early warning initial guess value, A0, A1, A2, and A3 are multiple regression coefficients, R d is the daily rainfall of the area within the grid in the next 24 hours, R p is the cumulative effective rainfall of the area within the grid in a predetermined time period as of the current time point, and G is the geological disaster potential index of the area within the grid.

4. The early warning method of claim 3, wherein, The calculating of the early warning initial guess values of the divided grids respectively comprises: calculating the cumulative effective rainfall according to formula (2), wherein n is the time of the cumulative effective rainfall, k i is the effective rainfall coefficient of the previous i days, R i is the live rainfall of the previous i days.

5. The early warning method of claim 3, wherein, The calculating of the early warning initial guess values of the divided grids respectively comprises: determining a daily rainfall of an area in the grid in the next 24 hours by using a prediction model.

6. The early warning method of claim 5, wherein, The prediction model is a WRF model, and the WRF model has three layers of grids, the resolution of each layer of grids has a ratio of 1, 5, 3, the resolution of the first layer of grids is 7500 meters, the resolution of the second layer is 1500 meters, the resolution of the third layer is 500 meters, the number of grid points in the east direction is 500, 501, 40 respectively, the number of grid points in the west direction is 500, 501, 40, the projection mode of the map is lambert projection, and the basic terrain resolution is 30s.

7. The early warning method of claim 1, wherein, The matching of the grid and the distribution of the power transmission towers to determine the early warning scheme of the power transmission towers comprises: calculating distances of the power transmission tower to each of the grids around the power transmission tower according to formula (3), wherein D i is the distance from the i-th grid to the power transmission tower, X i , Y i is the position coordinate of the i-th grid, and X0, Y0 are the position coordinates of the power transmission tower. selecting the grid with the smallest distance as the early warning initial guess value of the power transmission tower.

8. The early warning method of claim 1, wherein, The matching of the grid and the distribution of the power transmission towers to determine the early warning scheme of the power transmission towers comprises: determining a geological disaster potential degree index of the power transmission tower according to formula (4) to formula (6), wherein D i is the distance from the grid to the transmission tower, X i,j , Y i,j is the position coordinate of the i-th row and j-th grid, X0, Y0 is the position coordinate of the transmission tower, F i,j is the inverse distance weight calculated according to the distance, G i,j is the geological disaster potential degree index of the i-th row and j-th grid, G ′ is the geological disaster potential degree index of the transmission tower; calculating the early warning initial guess value according to the geological disaster potential degree index.

9. A warning system suitable for large-scale transmission tower rainstorm geological landslide, characterized in that, The early warning system comprises a processor configured to: divide a region to be warned into a plurality of grids; calculate early warning initial guess values of the divided grids respectively; determine whether each of the grids will have a rainstorm landslide disaster according to the early warning initial guess values; judge whether a resolution of a current grid is less than or equal to a preset value; in a case where the resolution is judged to be less than or equal to the preset value, match the grid and a distribution of power transmission towers to determine an early warning scheme of the power transmission towers.

10. The early warning system of claim 9, wherein, The processor is further configured to: in a case where the resolution of the current grid is judged to be greater than the preset value, select a grid where a rainstorm landslide disaster occurs, reduce a resolution of the selected grid, and return to execute the step of dividing the region to be warned into the plurality of grids.

11. The early warning system of claim 9, wherein, The processor is further configured to: calculate the early warning initial guess values according to formula (1), z = A0+ A1R + A2R2+ A3R3(1) d z = A0+ A1R + A2R2+ A3R3(1) p z = A0+ A1R wherein z is the early warning initial guess value, D0, A1, A2, and A3 are multiple regression coefficients, R d is the daily rainfall of the area within the grid in the next 24 hours, R p is the cumulative effective rainfall of the area within the grid in a predetermined time period up to the current time point, and G is the geological disaster potential index of the area within the grid.

12. The early warning system of claim 11, wherein, The processor is further configured to: calculate the cumulative effective rainfall according to formula (2), where n is the time of the cumulative effective rainfall, k i is the effective rainfall coefficient of the previous i days, R i is the live rainfall of the previous i days.

13. The early warning system of claim 11, wherein, The processor is further configured to: determine the daily rainfall of the area within the grid in the next 24 hours using a prediction model.

14. The early warning system of claim 13, wherein, The prediction model is a WRF model, and the WRF model has three layers of grids, the resolution ratio of each layer of grid is 1, 5, 3, the resolution of the first layer of grid is 7500 meters, the resolution of the second layer is 1500 meters, the resolution of the third layer is 500 meters, the number of grid points in the east direction is 500, 501, 40 respectively, the number of grid points in the west direction is 500, 501, 40, the projection mode of the map is lambert projection, and the base terrain resolution is 30s.

15. The early warning system of claim 9, wherein, The processor is further configured to: calculate the distance from the power transmission tower to each grid in the vicinity according to formula (3), wherein D i is the distance from the i-th grid to the power transmission tower, X i , Y i is the position coordinate of the i-th grid, and X0, Y0 are the position coordinates of the power transmission tower. select the grid with the smallest distance as the early warning initial guess value of the power transmission tower.

16. The early warning system of claim 9, wherein, The processor is further configured to: determine the geological disaster potential degree index of the power transmission tower according to formula (4) to formula (6), wherein D i is the distance from the grid to the transmission tower, X i,j , Y i,j is the position coordinate of the i-th row and j-th grid, X0, Y0 is the position coordinate of the transmission tower, F i,j is the inverse distance weight calculated according to the distance, G i,j is the geological disaster potential degree index of the i-th row and j-th grid, G ′ is the geological disaster potential degree index of the transmission tower; calculate the early warning initial guess value according to the geological disaster potential degree index.

17. A computer-readable storage medium, characterized in that, The computer readable storage medium stores instructions configured to perform the early warning method according to any one of claims 1 to 8.

Images