CN114676907B - Regional geological disaster early warning method and device, storage medium and equipment - Google Patents

Regional geological disaster early warning method and device, storage medium and equipment Download PDF

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CN114676907B
CN114676907B CN202210294728.4A CN202210294728A CN114676907B CN 114676907 B CN114676907 B CN 114676907B CN 202210294728 A CN202210294728 A CN 202210294728A CN 114676907 B CN114676907 B CN 114676907B
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丁晨
史戌冬
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Abstract

The invention provides a regional geological disaster early warning method, a device, a storage medium and equipment, which are used for obtaining historical disaster data of a target region, obtaining environment surface layer change data according to a historical remote sensing image, predicting a first geographical range and a target type according to the environment surface layer change data, predicting target time and a second geographical range according to the historical disaster data and the first geographical range, predicting the target geographical range according to the first geographical range and the second geographical range, and generating a geological disaster early warning value according to the target type, the target time and the target geographical range so as to improve the precise early warning rate of geological disasters of the target region and enable the regional geological disasters to be accurately early warned. By the embodiment of the invention, the accurate early warning rate of the geological disaster of the target area can be improved, so that accurate early warning can be performed on the geological disaster of the area.

Description

Regional geological disaster early warning method and device, storage medium and equipment
Technical Field
The invention relates to the technical field of geological big data processing, in particular to a regional geological disaster early warning method, a regional geological disaster early warning device, a regional geological disaster storage medium and regional geological disaster storage equipment.
Background
Geological disasters refer to geological effects or phenomena formed under the action of natural or human factors, which cause losses to human life and property, and damage to the environment. The distribution change rule of geological disasters in time and space is not only limited by natural environment, but also related to human activities, and is often the result of interaction between human and the natural world. Geological disasters pose serious threats to the household safety, industrial production, natural propagation and the like of people. At present, researchers mostly acquire various geological data on the spot aiming at the early warning research of geological disasters, and realize the prediction of the geological disasters and early warning of the possible geological disasters by analyzing the geological data.
The occurrence of geological disasters is influenced by various factors and has uncertainty, so the development of regional geological disaster dangerous regions becomes a hot problem for geological disaster research. However, in the prior art, the strategy for carrying out the geological disaster danger early warning is usually only established on soil layer data below the ground surface, and the geological disaster risk is predicted by analyzing soil activity data, so that the influence of environmental changes above soil on the geological disaster is lacked; in particular, in a geological structure region of some regional properties, the influence of wind current, water current, vegetation and the like on the stratum structure below the soil cannot be ignored.
Therefore, it is necessary to establish a regional geological disaster early warning strategy to solve the technical problem that the existing geological disaster early warning technology cannot accurately early warn the regional geological disaster.
Disclosure of Invention
The invention provides a regional geological disaster early warning method, a device, a storage medium and equipment, which can accurately early warn regional geological disasters.
The embodiment of the invention provides a regional geological disaster early warning method, which comprises the following steps:
acquiring historical disaster data of a target area within a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster;
acquiring a historical remote sensing image of a target area in a second preset time period, and performing spatial analysis processing on the historical remote sensing image to obtain environmental surface change data of the target area;
predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data;
acquiring historical time corresponding to a disaster type consistent with the target type from the historical types, and predicting the target time of next geological disaster in the target area;
acquiring a historical geographic range corresponding to a disaster type consistent with the target type from the historical types, and predicting a second geographic range of the next geological disaster in the target area;
predicting a target geographical range of the next geological disaster in the target area according to the first geographical range and the second geographical range;
and generating a geological disaster early warning value of the target area according to the target time, the target type and the target geographical range.
As a preferred scheme, the step of performing spatial analysis processing on the historical remote sensing image to obtain the environmental surface change data of the target area specifically includes:
carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image;
performing feature recognition on each frame of image, and determining the space coordinates of the object in each frame of image;
and calculating the variation of the space coordinates of the objects in the images of every other multiple frames to obtain the environment surface layer variation data of the target area.
Preferably, the object comprises a hill, a fissure, or vegetation;
the step of predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data specifically comprises the following steps:
when the variable quantity of the spatial coordinates of the hills in the image is determined to reach a first threshold value, predicting that the target type of the next geological disaster in the target area is a landslide disaster; determining a first geographical range according to the spatial coordinate range of the hill in the last frame of image;
or when the variation of the space coordinates of the cracks in the image is determined to reach a second threshold value, predicting that the target type of the next geological disaster in the target area is a ground collapse disaster; determining a first geographical range according to the spatial coordinate range of the crack in the last frame of image;
or when the variation of the space coordinates of the vegetation in the image is determined to reach a third threshold value, predicting that the target type of the next geological disaster in the target area is a land and desert disaster; and determining the space coordinate range of the vegetation in the last frame of image as a first geographical range.
As a preferred scheme, the step of obtaining, in the history type, a history time corresponding to a disaster type consistent with the target type, and predicting a target time at which a next geological disaster occurs in the target area specifically includes:
when the target type is a landslide disaster, acquiring historical time corresponding to each occurrence of the landslide disaster in the historical type, and predicting target time of the next landslide disaster in the target area according to interval duration of two times of adjacent landslide disasters;
or when the target type is a ground collapse disaster, acquiring historical time corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting the target time of the next ground collapse disaster in the target area according to the interval duration of two times of adjacent occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring the historical time corresponding to each occurrence of the land and desert disaster in the historical type, and predicting the target time of the next land and desert disaster in the target area according to the interval duration of two adjacent times of the occurrence of the land and desert disaster.
As a preferable scheme, the step of obtaining, in the history type, a history geographical range corresponding to a disaster type that is consistent with the target type, and predicting a second geographical range in which a next geological disaster occurs in the target region specifically includes:
when the target type is the landslide disaster, acquiring a historical geographic range corresponding to each occurrence of the landslide disaster in the historical type, and predicting a second geographic range of the next landslide disaster occurring in the target area according to the numerical value variable of two adjacent ranges of the landslide disaster;
or when the target type is a ground collapse disaster, acquiring a historical geographic range corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting a second geographic range of the next ground collapse disaster in the target region according to the numerical value variable of two adjacent ranges of the occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring a historical geographic range corresponding to each occurrence of the land and desert disaster in the historical type, and predicting a second geographic range of the next land and desert disaster in the target area according to the numerical value variable of two adjacent ranges of the occurrence of the land and desert disaster.
As a preferable scheme, the step of predicting the target geographical range in which the next geological disaster occurs in the target region according to the first geographical range and the second geographical range specifically includes:
marking the first geographical range in a space rectangular coordinate system to obtain a first coordinate range;
marking the second geographic range in a space rectangular coordinate system to obtain a second coordinate range;
determining the repeated part of the coordinate range as an overlapping range according to the first coordinate range and the second coordinate range;
and expanding the overlapping range according to a preset weight value in proportion to obtain a target geographical range in which the next geological disaster occurs in the target area.
As a preferred scheme, the generation formula of the geological disaster early warning value is as follows:
Figure BDA0003562851630000041
wherein H i For geological disaster warning values, a 1 、a 2 And a 3 Are all constant values; when i is 1, the disaster is a landslide disaster; when i is 2, the disaster is the ground collapse disaster; when i is 3, the disaster happens to the land and the desert;
T i is a target time, T 0 Current time, unit: month;
X i taking a constant value according to different disaster types as a target type;
K i for the target geographic range, when i is 1, and a 4 <K 1 When, K 1 Take 1, a 4 Is a constant value; when i is 2, and a 5 <K 2 When, K 2 Take 1, a 5 Is a constant value; when i is 3, and K 3 <a 6 When, K 3 Take 1, a 6 Is a constant value.
And as an optimal scheme, when the geological disaster early warning value reaches an early warning threshold value, sending an early warning signal.
Correspondingly, another embodiment of the present invention further provides a regional geological disaster early warning device, including: the disaster data acquisition module, the image analysis module, the first range prediction module, the target time prediction module, the second range prediction module, the target range prediction module and the early warning module;
the disaster data acquisition module is used for acquiring historical disaster data of a target area within a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster;
the image analysis module is used for acquiring a historical remote sensing image of the target area in a second preset time period, and performing spatial analysis processing on the historical remote sensing image to obtain environmental surface layer change data of the target area;
the first range prediction module is used for predicting a target type and a first geographical range of next geological disasters in the target area according to the environmental surface layer change data;
the target time prediction module is used for acquiring historical time corresponding to a disaster type consistent with the target type from the historical types and predicting the target time of next geological disaster in the target area;
the second range prediction module is used for acquiring a historical geographic range corresponding to a disaster type consistent with the target type from the historical types and predicting a second geographic range in which next geological disaster occurs in the target area;
the target range prediction module is used for predicting a target geographical range in which next geological disaster occurs in the target area according to the first geographical range and the second geographical range;
the early warning module is used for generating a geological disaster early warning value of the target area according to the target time, the target type and the target geographic range.
As a preferred scheme, the image analysis module is further specifically configured to:
carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image;
performing feature recognition on each frame of image, and determining the space coordinates of the object in each frame of image;
and calculating the variation of the space coordinates of the objects in each interval of the multi-frame images to obtain the environment surface layer variation data of the target area.
Preferably, the object comprises a hill, a fissure, or vegetation; the first range prediction module is further specifically configured to:
when the variable quantity of the spatial coordinates of the hills in the image is determined to reach a first threshold value, predicting that the target type of the next geological disaster in the target area is a landslide disaster; determining a first geographical range according to the spatial coordinate range of the hill in the last frame of image;
or when the variation of the space coordinates of the cracks in the image is determined to reach a second threshold value, predicting that the target type of the next geological disaster in the target area is a ground collapse disaster; determining a first geographical range according to the spatial coordinate range of the crack in the last frame of image;
or when the variation of the space coordinates of the vegetation in the image is determined to reach a third threshold value, predicting that the target type of the next geological disaster in the target area is a land and desert disaster; and determining the space coordinate range of the vegetation in the last frame of image as a first geographical range.
Preferably, the target time prediction module is further specifically configured to:
when the target type is a landslide disaster, acquiring historical time corresponding to each occurrence of the landslide disaster in the historical type, and predicting target time of the next landslide disaster in the target area according to interval duration of two times of adjacent landslide disasters;
or when the target type is a ground collapse disaster, acquiring historical time corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting the target time of the next ground collapse disaster in the target area according to the interval duration of two times of adjacent occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring the historical time corresponding to each occurrence of the land and desert disaster in the historical type, and predicting the target time of the next land and desert disaster in the target area according to the interval duration of two adjacent times of the occurrence of the land and desert disaster.
Preferably, the second range prediction module is further specifically configured to:
when the target type is the landslide disaster, acquiring a historical geographical range corresponding to each occurrence of the landslide disaster in the historical type, and predicting a second geographical range of the next landslide disaster in the target area according to the numerical value variable of two adjacent ranges of the landslide disaster;
or when the target type is a ground collapse disaster, acquiring a historical geographic range corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting a second geographic range of the next ground collapse disaster in the target region according to the numerical value variable of two adjacent ranges of the occurrence of the ground collapse disasters;
or when the target type is the land and desert disaster, acquiring a historical geographic range corresponding to the occurrence of the land and desert disaster in the historical type every time, and predicting a second geographic range in which the next land and desert disaster occurs in the target area according to the numerical value variable of two adjacent ranges in which the land and desert disaster occurs.
Preferably, the target range prediction module is further specifically configured to:
marking the first geographical range in a space rectangular coordinate system to obtain a first coordinate range;
marking the second geographic range in a space rectangular coordinate system to obtain a second coordinate range;
determining the repeated part of the coordinate range as an overlapping range according to the first coordinate range and the second coordinate range;
and expanding the overlapping range according to a preset weight value in proportion to obtain a target geographical range in which the next geological disaster occurs in the target area.
As a preferred scheme, in the regional geological disaster early warning method, a generation formula of the geological disaster early warning value is as follows:
Figure BDA0003562851630000071
wherein H i For geological disaster warning values, a 1 、a 2 And a 3 Are all constant values; when i is 1, the disaster is a landslide disaster; when i is 2, the disaster is the ground collapse disaster; when i is 3, the disaster is a land and desert disaster;
T i is a target time, T 0 Current time, unit: month;
X i taking a constant value according to different disaster types as a target type;
K i for the target geographic range, when i is 1, and a 4 <K 1 When, K 1 Taking 1, a 4 Is a constant value; when i is 2, and a 5 <K 2 When, K 2 Take 1, a 5 Is a constant value; when i is 3, and K 3 <a 6 When, K 3 Take 1, a 6 Is a constant value.
And as an optimal scheme, when the geological disaster early warning value reaches an early warning threshold value, sending an early warning signal.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when running, controls the device on which the computer readable storage medium is located to execute a regional geological disaster warning method as described in any one of the above.
An embodiment of the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor, when executing the computer program, implements a regional geological disaster early warning method as described in any one of the above items.
Compared with the prior art, the regional geological disaster early warning method, the device, the storage medium and the equipment provided by the embodiment of the invention have the following beneficial effects: preparing for predicting a second geographical range and target time by acquiring historical disaster data of a target area and subsequently utilizing the historical disaster data of the target area; obtaining environment surface layer change data according to the historical remote sensing image, and providing variation data of information such as hills, cracks or vegetation and the like when a first geographical range and a target type are predicted subsequently; the method comprises the steps of predicting a first geographical range and a target type according to environmental surface layer change data, and adding influence factors such as hills, cracks or vegetation and the like when predicting the first geographical range and the target type so as to improve the accuracy of predicting the first geographical range and the target type and improve the accurate early warning rate of geological disasters in a target area; by comparing historical time data of the same disaster type, the accuracy of predicting the target time can be improved, so that the accurate early warning rate of geological disasters in a target area is improved; by comparing historical geographic range data of the same disaster type, the accuracy of predicting the second geographic range can be improved, and second geographic range data are provided for the subsequent prediction of the target geographic range; the target geographic range is predicted by utilizing the spatial position relation of the first geographic range data and the second geographic range data, so that the accurate rate of predicting the target geographic range can be improved, and the accurate early warning rate of geological disasters in a target area is improved. By the embodiment of the invention, the accurate early warning rate of the geological disaster of the target area can be improved, so that accurate early warning can be performed on the geological disaster of the area.
Drawings
FIG. 1: the invention provides a flow diagram of a regional geological disaster early warning method in an embodiment;
FIG. 2: the invention provides a structural schematic diagram of a regional geological disaster early warning device.
Wherein the reference numbers of the drawings in the specification are as follows: the disaster data acquisition module 21, the image analysis module 22, the first range prediction module 23, the target time prediction module 24, the second range prediction module 25, the target range prediction module 26, and the early warning module 27.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, a regional geological disaster early warning method provided by an embodiment of the present invention includes the steps of:
step S11, acquiring historical disaster data of a target area in a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster.
Specifically, historical disaster is also one of factors influencing regional geological disaster prediction, wherein historical disaster data comprises historical disaster types, historical disaster time, historical disaster range and the like, and the historical disaster data is obtained by acquiring information such as the time of occurrence of a geological disaster in a region to be predicted within a preset period of time, the type of the geological disaster, the occurrence range of the geological disaster and the like; and preparing for predicting a second geographical range and target time of the target area by using the target historical disaster data subsequently by acquiring the historical disaster data of the target area.
And step S12, obtaining a historical remote sensing image of the target area in a second preset time period, and performing spatial analysis processing on the historical remote sensing image to obtain environmental surface layer change data of the target area.
Specifically, a remote sensing image of a region to be predicted within a preset period of time, namely a historical remote sensing image, is obtained through a satellite and the like, then each obtained remote sensing image is analyzed, and environmental surface layer change data of the region to be predicted is obtained through analyzing the change of information such as hills, cracks or vegetation of the remote sensing image within the preset period of time; and obtaining environment surface layer change data according to the historical remote sensing image, and providing variation data of information such as hills, cracks or vegetation and the like when environment surface layer change data influence factors are added for the subsequent prediction of the first geographical range and the target type so as to improve the accuracy of predicting the target type and the first geographical range.
And S13, predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data.
Specifically, after obtaining environmental surface layer change data of the area to be predicted, predicting the type of the area to be predicted, which is the target type, and the size of the geographical range of the area to be predicted, which is the first geographical range, through the variation of information such as hills, cracks or vegetation in a preset period of time; predicting a first geographical range and a target type according to the environmental surface layer change data, adding a variable quantity of information such as hills, cracks or vegetation in a preset time as an influence factor when predicting the first geographical range and the target type so as to improve the accuracy of predicting the first geographical range and the target type, preparing for generating a subsequent geological disaster early warning value and improving the accurate early warning rate of geological disasters in a target area;
and step S14, acquiring historical time corresponding to the disaster type consistent with the target type from the historical types, and predicting the target time of the next geological disaster in the target area.
Specifically, historical type data which is consistent with the type of geological disaster to be generated next time in the area needing to be predicted is obtained in the historical type data of the geological disaster in the area needing to be predicted in a matching mode, historical time data corresponding to the historical type data is obtained by searching the historical disaster data, and the next time of occurrence of the disaster type in the area needing to be predicted, namely target time, is predicted according to the historical occurrence time corresponding to the disaster type in the area needing to be predicted; the target time is predicted according to the disaster type and the historical disaster data, the accuracy of the predicted target time can be improved by comparing the historical time data of the same disaster type, and preparation is made for the generation of geological disaster early warning values of a subsequent target area, so that the accurate early warning rate of the geological disaster of the target area is improved.
And step S15, acquiring a historical geographic range corresponding to the disaster type consistent with the target type from the historical types, and predicting a second geographic range in which the next geological disaster occurs in the target area.
Specifically, historical geographic range data which is consistent with the type of the geological disaster to be predicted next time in the area to be predicted is obtained in the historical type data of the geological disaster to be predicted in the area to be predicted in a matching mode, historical time data corresponding to the historical type data is obtained by searching the historical disaster data, and the geographic range, namely the second geographic range, where the disaster type of the area to be predicted next time occurs is predicted according to the historical geographic range corresponding to the disaster type of the area to be predicted; and predicting the second geographical range according to the historical disaster data and the disaster type, and comparing the historical geographical range data of the same disaster type, so that the accuracy of predicting the second geographical range can be improved, and the second geographical range data can be provided for the subsequent prediction of the target geographical range.
And step S16, predicting the target geographical range of the next geological disaster in the target area according to the first geographical range and the second geographical range.
Specifically, the size of the geographical range in which the next geological disaster is to occur, which is obtained by predicting the change of information such as hills, cracks or vegetation in the area to be predicted within a preset time, and the geographical range data which is obtained by predicting the next occurrence according to historical geographical range data corresponding to the type of the regional disaster to be predicted are analyzed and processed, so that the final geographical range data, namely the target geographical range, in which the next geological disaster occurs in the area to be predicted is predicted; predicting a target geographical range according to the first geographical range and the second geographical range, predicting the target geographical range by utilizing the spatial position relationship of the first geographical range data and the second geographical range data, improving the accurate rate of predicting the target geographical range, preparing for the generation of subsequent geological disaster early warning values, and improving the accurate early warning rate of geological disasters in a target area;
and S17, generating a geological disaster early warning value of the target area according to the target time, the target type and the target geographical range.
Specifically, the target time, the target type and the target geographical range of the target area are combined to obtain a geological disaster early warning value of the target area, and influence factors such as the target time, the target type and the target geographical range can be provided for geological disaster prediction of the target area so as to improve the accurate early warning rate of the geological disaster of the target area and perform accurate early warning on the regional geological disaster.
In this embodiment, the invention provides a regional geological disaster early warning method, which has the following beneficial effects: preparing for predicting a second geographical range and target time by acquiring historical disaster data of a target area and subsequently utilizing the historical disaster data of the target area; obtaining environment surface layer change data according to the historical remote sensing image, and providing variation data of information such as hills, cracks or vegetation and the like when environment surface layer change data influence factors are added for the subsequent prediction of the first geographical range and the target type so as to improve the accuracy of the prediction of the target type and the first geographical range; predicting a first geographical range and a target type according to the environmental surface layer change data, adding influence factors such as hills, cracks or vegetation and the like when predicting the first geographical range and the target type so as to improve the accuracy of predicting the first geographical range and the target type, preparing for generating a subsequent geological disaster early warning value and improving the accurate early warning rate of the geological disaster in a target area; by comparing historical time data of the same disaster type, the accuracy of target time prediction can be improved, preparation is made for generating a follow-up geological disaster early warning value, and the accurate early warning rate of geological disasters in a target area is improved; by comparing historical geographic range data of the same disaster type, the accuracy of predicting the second geographic range can be improved, and second geographic range data are provided for the subsequent prediction of the target geographic range; the target geographical range is predicted by utilizing the spatial position relation of the first geographical range data and the second geographical range data, so that the precision rate of predicting the target geographical range can be improved, preparation is made for generating a subsequent geological disaster early warning value, and the precision early warning rate of geological disasters in a target area is improved; by generating the geological disaster early warning value, the accurate early warning rate of the geological disaster of the target area is improved, and accurate early warning can be performed on the geological disaster of the area. By the embodiment of the invention, the accurate early warning rate of the geological disaster of the target area can be improved, so that accurate early warning can be performed on the geological disaster of the area.
In the regional geological disaster early warning method provided by another embodiment of the present invention, the step of performing spatial analysis processing on the historical remote sensing image to obtain environmental surface change data of a target region specifically includes: carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image; performing feature recognition on each frame of image, and determining the space coordinates of the object in each frame of image; and calculating the variation of the space coordinates of the objects in each interval of the multi-frame images to obtain the environment surface layer variation data of the target area.
Specifically, after the historical remote sensing image is obtained, the historical remote sensing image is subjected to frame image splitting processing to obtain each frame image; performing characteristic identification on each frame of image to obtain an object in each frame of image, and performing point taking operation according to the position relation between the objects and the space rectangular coordinate system to obtain space coordinate data of the object in each frame of image; and comparing the space coordinates of the objects in the multi-frame images at intervals to obtain the variable quantity of the objects, and then calculating according to the variable quantity to obtain the environmental surface layer change data of the target area.
By comparing the variation of the space coordinates of the objects in each interval of the multi-frame images, the variation data of each object in the area within the preset time can be accurately obtained, so that the environmental surface variation data of the area can be obtained, and the accuracy of the target type and the first geographical range of the subsequent prediction target area can be improved.
In another embodiment of the present invention, in a regional geologic hazard early warning method, the object includes a hill, a crack or vegetation; the step of predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data specifically comprises the following steps: when the variable quantity of the spatial coordinates of the hills in the image is determined to reach a first threshold value, predicting that the target type of the next geological disaster in the target area is a landslide disaster; determining a first geographical range according to the spatial coordinate range of the hill in the last frame of image; or when the variation of the space coordinates of the cracks in the image is determined to reach a second threshold value, predicting that the target type of the next geological disaster in the target area is a ground collapse disaster; determining a first geographical range according to the spatial coordinate range of the crack in the last frame of image; or when the variation of the space coordinates of the vegetation in the image is determined to reach a third threshold value, predicting that the target type of the next geological disaster in the target area is a land and desert disaster; and determining the space coordinate range of the vegetation in the last frame of image as a first geographical range.
Specifically, after the characteristic recognition is carried out on each frame of image in the target area to obtain an object in each frame of image, the change of the spatial coordinates of the hills, cracks or vegetation in the preset time is compared to obtain the change quantity of the hills, cracks or vegetation, then the change quantity of the hills, cracks or vegetation is compared with a preset threshold, when the change quantity of the hills, cracks or vegetation is larger than the preset threshold, the corresponding target type of the next geological disaster in the target area is predicted, and finally the size of the geographical range of the geological disaster to be generated is determined according to the spatial coordinate range of the hills, cracks or vegetation in the last frame of image.
Predicting a target type and a first geographical range of a target area through the variation of spatial coordinates of hills, cracks or vegetation in a preset time, and adding influence factors such as the hills, the cracks or the vegetation when predicting the first geographical range so as to improve the accuracy of predicting the first geographical range and prepare for generating a subsequent geological disaster early warning value so as to improve the accurate early warning rate of the geological disaster of the target area; .
In a regional geological disaster early warning method provided by another embodiment of the present invention, the step of obtaining, in the history type, a history time corresponding to a disaster type that is consistent with the target type, and predicting a target time at which a next geological disaster occurs in the target region includes: when the target type is a landslide disaster, acquiring historical time corresponding to each occurrence of the landslide disaster in the historical type, and predicting target time of the next landslide disaster in the target area according to interval duration of two times of adjacent landslide disasters; or when the target type is a ground collapse disaster, acquiring historical time corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting the target time of the next ground collapse disaster in the target area according to the interval duration of two times of adjacent occurrence of the ground collapse disasters; or when the target type is a land and desert disaster, acquiring the historical time corresponding to each occurrence of the land and desert disaster in the historical type, and predicting the target time of the next land and desert disaster in the target area according to the interval duration of two adjacent times of the occurrence of the land and desert disaster.
Specifically, historical occurrence time data of the same-type disasters with the target types are matched in the historical type data to obtain each time data of the same-type disasters, adjacent occurrence time interval duration of the same-type disasters is obtained by comparing each time data of the same-type disasters, and the next time of the same-type disasters occurring in the target area is measured according to the adjacent occurrence time interval duration of the same-type disasters. If the target type is landslide, matching each occurrence time of the landslide type in the historical type data, then comparing the time data of adjacent landslide occurrence types in the area to obtain the interval duration of the adjacent landslide occurrence types, and then predicting the time of the next landslide occurrence type.
By comparing the adjacent occurrence time of the target disaster type, the target time of the same disaster type in the next occurrence of the target area is predicted, the accuracy of predicting the target time of the same disaster type in the target area can be improved, preparation is made for the generation of the follow-up geological disaster early warning value, the accurate early warning rate of the geological disaster in the target area is improved, and the practicability of the scheme is enhanced.
In a regional geological disaster early warning method provided by another embodiment of the present invention, the step of obtaining a historical geographical range corresponding to a disaster type consistent with the target type from the historical types and predicting a second geographical range in which a next geological disaster occurs in the target region includes: when the target type is the landslide disaster, acquiring a historical geographical range corresponding to each occurrence of the landslide disaster in the historical type, and predicting a second geographical range of the next landslide disaster in the target area according to the numerical value variable of two adjacent ranges of the landslide disaster; or when the target type is a ground collapse disaster, acquiring a historical geographic range corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting a second geographic range of the next ground collapse disaster in the target region according to the numerical value variable of two adjacent ranges of the occurrence of the ground collapse disasters; or when the target type is the land and desert disaster, acquiring a historical geographic range corresponding to the occurrence of the land and desert disaster in the historical type every time, and predicting a second geographic range in which the next land and desert disaster occurs in the target area according to the numerical value variable of two adjacent ranges in which the land and desert disaster occurs.
Specifically, historical geographic ranges of the same type of disasters with the target type are matched in historical type data to obtain geographic ranges of the same type of disasters, geographic range variation of two adjacent occurrences is obtained by comparing the geographic ranges of two adjacent occurrences, and then the geographic range of the next occurrence of the disaster type is predicted according to the geographic range variation of two adjacent occurrences. If the target type is the landslide, matching the geographical range of each occurrence of the landslide in the historical type data to obtain the geographical range of each occurrence of the landslide in the area, obtaining the geographical range variation of the landslide occurring twice in the adjacent area by comparing the geographical ranges of the landslide occurring twice in the adjacent area, and predicting the geographical range data of the landslide occurring next time in the area according to the position range variation of the landslide occurring twice in the adjacent area.
By comparing the adjacent geographical ranges of the target disaster types, the second geographical range of the same disaster type is predicted to be generated next time in the target area, the accuracy of predicting the second geographical range can be improved, the accuracy of the target geographical range of the follow-up predicted target area is improved, and the practicability of the scheme is improved.
In an area geological disaster early warning method provided by another embodiment of the present invention, the step of predicting a target geographical range in which a next geological disaster occurs in the target area according to the first geographical range and the second geographical range specifically includes: marking the first geographical range in a space rectangular coordinate system to obtain a first coordinate range; marking the second geographic range in a space rectangular coordinate system to obtain a second coordinate range; determining the repeated part of the coordinate range as an overlapping range according to the first coordinate range and the second coordinate range; and expanding the overlapping range according to a preset weight value in proportion to obtain a target geographical range in which the next geological disaster occurs in the target area.
Specifically, according to a first geographic range predicted by the variation of a hill, a crack or vegetation and a second geographic range predicted by the geographic range occurring twice adjacent to the first geographic range, the first geographic range and the second geographic range are marked by using a spatial rectangular coordinate system to obtain first geographic range data and second geographic range data on the spatial rectangular coordinate system, the first geographic range data and the second geographic range data are compared to obtain a part with two overlapping geographic ranges, then weights are preset according to factors such as climate and man-made factors in an actual area, and the part with the two overlapping ranges is amplified or reduced according to preset weight values to obtain the geographic range where the disaster type occurs next time.
The target geographical range is predicted through the overlapping part of the first geographical range and the second geographical range, so that the target geographical range can be predicted through the change of hills, cracks, vegetation and the like or through influencing factors such as geographical positions of target type disasters which occur twice adjacently, the accuracy of the predicted target geographical range is improved, the accurate early warning rate of the subsequent target area geological disasters is improved, and the practicability of the scheme is enhanced.
In a regional geological disaster early warning method provided by another embodiment of the present invention, a generation formula of a geological disaster early warning value is as follows:
Figure BDA0003562851630000151
wherein H i For geological disaster warning values, a 1 、a 2 And a 3 Are all constant values; when i is 1, the disaster is a landslide disaster; when i is 2, the disaster is the ground collapse disaster; when i is 3, the disaster happens to the land and the desert;
T i is a target time, T 0 Current time, unit: month;
X i taking a constant value according to different disaster types as a target type;
K i for the target geographic range, when i is 1, and a 4 <K 1 When, K 1 Take 1, a 4 Is a constant value; when i is 2, and a 5 <K 2 When, K 2 Take 1, a 5 Is a constant value; when i is 3, and K 3 <a 6 When, K 3 Taking 1, a 6 Is a constant value.
The geological disaster early warning value is obtained through the generation formula of the geological disaster early warning value, the accuracy of the geological disaster early warning value can be improved, the accurate early warning rate of the geological disaster of the target area is improved, a basis is provided for early warning of the geological disaster of the target area, accurate early warning can be conducted on the regional geological disaster, and the practicability of the scheme is enhanced.
In addition, in a regional geological disaster early warning method provided by another embodiment of the present invention, when the geological disaster early warning value reaches an early warning threshold, an early warning signal is sent.
When the geological disaster early warning value reaches the early warning threshold value, the operation of sending the early warning signal can enable the user to timely know the type, time and specific information of the geographical range in which the disaster is to occur in the target area, and corresponding countermeasures are made according to the type, time and specific information of the geographical range in which the disaster is to occur, so that various losses caused by the fact that the user cannot timely know the specific information of the disaster in the target area are avoided, and the practicability of the scheme is improved.
Example two
Accordingly, referring to fig. 2, an area geological disaster early warning device provided by an embodiment of the present invention includes: a disaster data acquisition module 21, an image analysis module 22, a first range prediction module 23, a target time prediction module 24, a second range prediction module 25, a target range prediction module 26 and an early warning module 27;
the disaster data acquisition module 21 is configured to acquire historical disaster data of a target area within a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster;
the image analysis module 22 is configured to obtain a historical remote sensing image of the target area within a second preset time period, and perform spatial analysis processing on the historical remote sensing image to obtain environmental surface change data of the target area;
the first range prediction module 23 is configured to predict a target type and a first geographical range of a next geological disaster occurring in the target region according to the environmental surface layer change data;
the target time prediction module 24 is configured to obtain, from the history types, history time corresponding to a disaster type that is consistent with the target type, and predict target time at which a next geological disaster occurs in the target region;
the second range prediction module 25 is configured to obtain, from the historical types, a historical geographic range corresponding to a disaster type that is consistent with the target type, and predict a second geographic range within which a next geological disaster occurs in the target region;
the target range prediction module 26 is configured to predict a target geographical range within the target region where a next geological disaster occurs according to the first geographical range and the second geographical range;
the early warning module 27 is configured to generate a geological disaster early warning value of the target area according to the target time, the target type, and the target geographic range.
By implementing the embodiment of the invention, the historical disaster data of the target area is obtained, so that preparation is made for predicting the second geographical range and the target time by using the target historical disaster data subsequently; obtaining environment surface layer change data according to the historical remote sensing image, and providing variation data of information such as hills, cracks or vegetation and the like when a first geographical range and a target type are predicted subsequently; the method comprises the steps of predicting a first geographical range and a target type according to environmental surface layer change data, and adding influence factors such as hills, cracks or vegetation and the like when predicting the first geographical range and the target type so as to improve the accuracy of predicting the first geographical range and the target type and improve the accurate early warning rate of geological disasters in a target area; by comparing historical time data of the same disaster type, the accuracy of predicting the target time can be improved, so that the accurate early warning rate of geological disasters in a target area is improved; by comparing historical geographic range data of the same disaster type, the accuracy of predicting the second geographic range can be improved, and second geographic range data are provided for the subsequent prediction of the target geographic range; the target geographic range is predicted by utilizing the spatial position relation of the first geographic range data and the second geographic range data, so that the accurate rate of predicting the target geographic range can be improved, and the accurate early warning rate of geological disasters in a target area is improved. By the embodiment of the invention, the accurate early warning rate of the geological disaster of the target area can be improved, so that accurate early warning can be performed on the geological disaster of the area.
In an area geological disaster early warning apparatus provided by another embodiment of the present invention, the image analysis module 22 is further specifically configured to:
carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image;
performing feature recognition on each frame of image, and determining the space coordinates of the object in each frame of image;
and calculating the variation of the space coordinates of the objects in each interval of the multi-frame images to obtain the environment surface layer variation data of the target area.
By implementing the embodiment of the invention, the variation data of each object in the area within the preset time can be accurately obtained by comparing the variation of the space coordinates of the objects in each interval of the multi-frame image, so that the environmental surface variation data of the area is obtained, and the accuracy of the target type and the first geographical range of the subsequent prediction target area is improved.
In another embodiment of the present invention, in a regional geological disaster early warning device, the object includes a hill, a crack, or vegetation; the first range prediction module is further specifically configured to:
when the variable quantity of the spatial coordinates of the hills in the image is determined to reach a first threshold value, predicting that the target type of the next geological disaster in the target area is a landslide disaster; determining a first geographical range according to the spatial coordinate range of the hill in the last frame of image;
or when the variation of the space coordinates of the cracks in the image is determined to reach a second threshold value, predicting that the target type of the next geological disaster in the target area is a ground collapse disaster; determining a first geographical range according to the spatial coordinate range of the crack in the last frame of image;
or when the variation of the space coordinates of the vegetation in the image is determined to reach a third threshold value, predicting that the target type of the next geological disaster in the target area is a land and desert disaster; and determining the space coordinate range of the vegetation in the last frame of image as a first geographical range.
By implementing the embodiment of the invention, the target type and the first geographical range of the target area are predicted through the variation of the spatial coordinates of the hills, cracks or vegetation in the preset time, so that the accuracy of predicting the target type and the first geographical range can be improved, the accuracy of subsequently predicting the target geographical range of the target area is improved, and accurate early warning can be carried out on regional geological disasters.
In an area geological disaster early warning apparatus provided by another embodiment of the present invention, the target time prediction module 24 is further specifically configured to:
when the target type is a landslide disaster, acquiring historical time corresponding to each occurrence of the landslide disaster in the historical type, and predicting target time of the next landslide disaster in the target area according to interval duration of two times of adjacent landslide disasters;
or when the target type is a ground collapse disaster, acquiring historical time corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting the target time of the next ground collapse disaster in the target area according to the interval duration of two times of adjacent occurrence of the ground collapse disasters;
or when the target type is the land and desert disaster, acquiring the historical time corresponding to the occurrence of the land and desert disaster in the historical type every time, and predicting the target time of the next land and desert disaster in the target area according to the interval duration of two times of adjacent occurrence of the land and desert disasters.
By implementing the embodiment of the invention, the target time of the next occurrence of the same disaster type in the target area is predicted by comparing the adjacent occurrence time of the target disaster type, so that the accuracy of predicting the target time of the occurrence of the same disaster type in the target area can be improved, the accurate early warning rate of geological disasters in the subsequent target area is improved, and the practicability of the scheme is enhanced.
In an area geological disaster early warning device provided by another embodiment of the present invention, the second range prediction module 25 is further specifically configured to:
when the target type is the landslide disaster, acquiring a historical geographical range corresponding to each occurrence of the landslide disaster in the historical type, and predicting a second geographical range of the next landslide disaster in the target area according to the numerical value variable of two adjacent ranges of the landslide disaster;
or when the target type is a ground collapse disaster, acquiring a historical geographic range corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting a second geographic range of the next ground collapse disaster in the target region according to the numerical value variable of two adjacent ranges of the occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring a historical geographic range corresponding to each occurrence of the land and desert disaster in the historical type, and predicting a second geographic range of the next land and desert disaster in the target area according to the numerical value variable of two adjacent ranges of the occurrence of the land and desert disaster.
By implementing the embodiment of the invention, the second geographical range of the same disaster type occurring next time in the target area is predicted by comparing the geographical ranges of two adjacent occurrences of the target disaster type, so that the accuracy of predicting the second geographical range can be improved, the accuracy of subsequently predicting the target geographical range of the target area is improved, and the practicability of the scheme is improved.
In another embodiment of the present invention, in the device for early warning of regional geological disaster, the target range prediction module 26 is further specifically configured to:
marking the first geographical range in a space rectangular coordinate system to obtain a first coordinate range;
marking the second geographic range in a space rectangular coordinate system to obtain a second coordinate range;
determining the repeated part of the coordinate range as an overlapping range according to the first coordinate range and the second coordinate range;
and expanding the overlapping range according to a preset weight value in proportion to obtain a target geographical range in which the next geological disaster occurs in the target area.
By implementing the embodiment of the invention, the target geographical range is predicted through the overlapping part of the first geographical range and the second geographical range, so that the target geographical range can be predicted through the change of hills, cracks, vegetation and the like or the influence factors such as geographical positions of two adjacent target type disasters, the accuracy of predicting the target geographical range is improved, the accurate early warning rate of the subsequent target area geological disasters is improved, and the practicability of the scheme is enhanced.
In an apparatus for warning a regional geological disaster according to another embodiment of the present invention, a generation formula of a geological disaster warning value of the regional geological disaster warning method is:
Figure BDA0003562851630000201
wherein H i For geological disaster warning values, a 1 、a 2 And a 3 Are all constant values; when i is 1, the disaster is a landslide disaster; when i is 2, the disaster is ground collapse; when i is 3, the disaster is a land and desert disaster;
T i is a target time, T 0 Current time, unit: month;
X i taking a constant value according to different disaster types as a target type;
K i for the target geographic range, when i is 1, and a 4 <K 1 When, K 1 Take 1, a 4 Is a constant value; when i is 2, and a 5 <K 2 When, K 2 Take 1, a 5 Is a constant value; when i is 3, and K 3 <a 6 When, K 3 Take 1, a 6 Is a constant value.
By implementing the embodiment of the invention, the geological disaster early warning value is obtained through a specific formula, so that the precision of the geological disaster early warning value can be further improved, the precise early warning rate of the geological disaster in the target area is improved, the regional geological disaster can be precisely early warned, and the practicability of the scheme is enhanced.
In addition, in an apparatus for warning a regional geological disaster according to another embodiment of the present invention, when the geological disaster warning value reaches a warning threshold, a warning signal is sent.
By implementing the embodiment of the invention, the user can timely know the specific information of the type, time and geographical range of the disaster to be generated in the target area by sending the early warning signal when the early warning value of the geological disaster reaches the early warning threshold value, and can take corresponding measures according to the specific information of the type, time and geographical range of the disaster to be generated, so that the practicability of the scheme is improved.
EXAMPLE III
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; when the computer program runs, the computer program controls the device where the computer readable storage medium is located to execute the regional geological disaster early warning method according to any one of the above embodiments.
Example four
The embodiment of the present invention further provides a terminal device, where the terminal device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor, when executing the computer program, implements the regional geological disaster early warning method according to any of the above embodiments.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.

Claims (9)

1. A regional geological disaster early warning method is characterized by comprising the following steps:
acquiring historical disaster data of a target area within a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster;
acquiring a historical remote sensing image of a target area in a second preset time period, and performing spatial analysis processing on the historical remote sensing image to obtain environmental surface change data of the target area;
predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data;
acquiring historical time corresponding to a disaster type consistent with the target type from the historical types, and predicting the target time of next geological disaster in the target area;
acquiring a historical geographic range corresponding to a disaster type consistent with the target type from the historical types, and predicting a second geographic range of the next geological disaster in the target area;
predicting a target geographical range of the next geological disaster in the target area according to the first geographical range and the second geographical range;
generating a geological disaster early warning value of the target area according to the target time, the target type and the target geographic range;
the step of performing spatial analysis processing on the historical remote sensing image to obtain the environmental surface change data of the target area specifically comprises the following steps:
carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image;
performing feature recognition on each frame of image, and determining the space coordinates of objects in each frame of image;
and calculating the variation of the space coordinates of the objects in each interval of the multi-frame images to obtain the environment surface layer variation data of the target area.
2. A regional geologic hazard warning method as defined in claim 1, wherein said objects comprise hills, fissures or vegetation;
the step of predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data specifically comprises the following steps:
when the variable quantity of the spatial coordinates of the hills in the image is determined to reach a first threshold value, predicting that the target type of the next geological disaster in the target area is a landslide disaster; determining a first geographical range according to the spatial coordinate range of the hill in the last frame of image;
or when the variation of the space coordinates of the cracks in the image is determined to reach a second threshold value, predicting that the target type of the next geological disaster in the target area is a ground collapse disaster; determining a first geographical range according to the spatial coordinate range of the crack in the last frame of image;
or when the variation of the space coordinates of the vegetation in the image is determined to reach a third threshold value, predicting that the target type of the next geological disaster in the target area is a land and desert disaster; and determining the space coordinate range of the vegetation in the last frame of image as a first geographical range.
3. The regional geological disaster early warning method according to claim 2, wherein the step of obtaining the historical time corresponding to the disaster type consistent with the target type from the historical types and predicting the target time of the next geological disaster in the target region comprises:
when the target type is a landslide disaster, acquiring historical time corresponding to each occurrence of the landslide disaster in the historical type, and predicting target time of the next landslide disaster in the target area according to interval duration of two times of adjacent landslide disasters;
or when the target type is a ground collapse disaster, acquiring historical time corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting the target time of the next ground collapse disaster in the target area according to the interval duration of two times of adjacent occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring the historical time corresponding to each occurrence of the land and desert disaster in the historical type, and predicting the target time of the next land and desert disaster in the target area according to the interval duration of two adjacent times of the occurrence of the land and desert disaster.
4. The regional geological disaster early warning method as claimed in claim 2, wherein the step of obtaining the historical geographical range corresponding to the disaster type consistent with the target type from the historical types and predicting the second geographical range where the next geological disaster occurs in the target region comprises:
when the target type is the landslide disaster, acquiring a historical geographical range corresponding to each occurrence of the landslide disaster in the historical type, and predicting a second geographical range of the next landslide disaster in the target area according to the numerical value variable of two adjacent ranges of the landslide disaster;
or when the target type is a ground collapse disaster, acquiring a historical geographic range corresponding to each occurrence of the ground collapse disaster in the historical type, and predicting a second geographic range of the next ground collapse disaster in the target region according to the numerical value variable of two adjacent ranges of the occurrence of the ground collapse disasters;
or when the target type is a land and desert disaster, acquiring a historical geographic range corresponding to each occurrence of the land and desert disaster in the historical type, and predicting a second geographic range of the next land and desert disaster in the target area according to the numerical value variable of two adjacent ranges of the occurrence of the land and desert disaster.
5. The regional geological disaster early warning method as claimed in claim 1, wherein the step of predicting the target geographical range where the next geological disaster occurs in the target region according to the first geographical range and the second geographical range specifically comprises:
marking the first geographical range in a space rectangular coordinate system to obtain a first coordinate range;
marking the second geographic range in a space rectangular coordinate system to obtain a second coordinate range;
determining the repeated part of the coordinate range as an overlapping range according to the first coordinate range and the second coordinate range;
and expanding the overlapping range according to a preset weight value in proportion to obtain a target geographical range in which the next geological disaster occurs in the target area.
6. The regional geologic hazard warning method of claim 1, further comprising:
and when the geological disaster early warning value reaches an early warning threshold value, sending an early warning signal.
7. A regional geological disaster early warning device, characterized by comprising: the system comprises a disaster data acquisition module, an image analysis module, a first range prediction module, a target time prediction module, a second range prediction module, a target range prediction module and an early warning module;
the disaster data acquisition module is used for acquiring historical disaster data of a target area within a first preset time period; the historical disaster data comprises historical time, historical type and historical geographic range of each geological disaster;
the image analysis module is used for acquiring a historical remote sensing image of the target area in a second preset time period, and performing spatial analysis processing on the historical remote sensing image to obtain environmental surface layer change data of the target area;
the first range prediction module is used for predicting the target type and the first geographical range of the next geological disaster in the target area according to the environmental surface layer change data;
the target time prediction module is used for acquiring historical time corresponding to a disaster type consistent with the target type from the historical types and predicting target time of next geological disaster in the target area;
the second range prediction module is used for acquiring a historical geographic range corresponding to a disaster type consistent with the target type from the historical types and predicting a second geographic range of next geological disaster in the target area;
the target range prediction module is used for predicting a target geographical range in which next geological disaster occurs in the target area according to the first geographical range and the second geographical range;
the early warning module is used for generating a geological disaster early warning value of the target area according to the target time, the target type and the target geographic range;
the image analysis module is further specifically configured to:
carrying out frame image splitting processing on the historical remote sensing image to obtain each frame image;
performing feature recognition on each frame of image, and determining the space coordinates of the object in each frame of image;
and calculating the variation of the space coordinates of the objects in each interval of the multi-frame images to obtain the environment surface layer variation data of the target area.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform a regional geological disaster warning method as claimed in any one of claims 1-6.
9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor when executing the computer program implementing a regional geological disaster warning method as claimed in any one of claims 1-6.
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