CN113393037A - Regional geological disaster trend prediction method and system - Google Patents
Regional geological disaster trend prediction method and system Download PDFInfo
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Abstract
The invention provides a regional geological disaster trend prediction method and system, and relates to the field of geological disaster prediction. The regional geological disaster trend prediction method comprises the following steps: firstly, acquiring geological parameter information of a current region, and then screening in a preset reference terrain library according to the geological parameter information of the current region to obtain reference region information; extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a prediction geological disaster trend model; and finally, inputting the geological parameter information of the current region into a geological disaster trend forecasting model to obtain the geological disaster trend information of the current region, and training by adding historical geological disaster information of a reference region to improve the accuracy of the geological disaster trend forecasting model and enable a forecasting result obtained through the model to be more accurate, so that the geological disaster trend of the current region is more accurate.
Description
Technical Field
The invention relates to the field of geological disaster prediction, in particular to a regional geological disaster trend prediction method and system.
Background
Geological disasters refer to phenomena or events that result in sudden or progressive destruction of the geological environment and loss of human life and property due to geological events (natural, man-made or synthetic). In recent years, geological disasters such as debris flow, landslide and ground subsidence occur frequently, and huge losses are brought to lives and properties of people.
Currently, in geological disaster trend prediction for a certain area, historical geological disasters of the area are mostly used as analysis objects, and the geological disaster trend of the area is obtained. The method has the problems of inaccurate prediction result and poor accuracy.
Disclosure of Invention
The invention aims to provide a regional geological disaster trend prediction method and system, which are used for solving the problems of insufficient precision and poor accuracy of regional geological disaster trend prediction results in the prior art.
In a first aspect, an embodiment of the present application provides a regional geological disaster trend prediction method, including the following steps:
acquiring geological parameter information of a current region;
screening in a preset reference terrain library according to geological parameter information of the current region to obtain reference region information;
extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a prediction geological disaster trend model;
and inputting the geological parameter information of the current region into a geological disaster trend forecasting model to obtain the geological disaster trend information of the current region.
In the implementation process, the geological parameter information of the current region is obtained, and then the geological parameter information of the current region is screened in a preset reference terrain library according to the geological parameter information of the current region to obtain the reference region information; the reference region information has a certain correlation with the current region, and then historical geological disaster information in the current region geological parameter information and the historical geological disaster information in the reference region information are extracted and trained to obtain a predicted geological disaster trend model; the historical geological disaster information in the reference region information is also used as sample information, so that the number of samples trained in the geological disaster trend forecasting model is increased, the obtained geological disaster trend forecasting model is more accurate, and finally, the geological parameter information of the current region is input into the geological disaster trend forecasting model to obtain the geological disaster trend information of the current region.
Based on the first aspect, in some embodiments of the present invention, the step of obtaining the reference region information by performing the screening in the preset reference terrain library according to the current region geological parameter information includes the following steps:
extracting geological rock group information and topographic and geomorphic information in geological parameter information of the current region;
and screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information.
Based on the first aspect, in some embodiments of the present invention, the step of performing screening in a preset reference terrain library according to the geological rock group information and the topographic and geomorphic information to obtain the reference area information includes the following steps:
comparing the geological rock group information and the topographic and geomorphic information with geological rock group information and topographic and geomorphic information corresponding to a reference region in a preset reference terrain library to obtain an effective reference region;
and extracting geological information of the effective reference region and using the geological information as reference region information.
Based on the first aspect, in some embodiments of the present invention, the step of extracting and training the historical geological disaster information in the current regional geological parameter information and the historical geological disaster information in the reference regional information to obtain the predicted geological disaster trend model includes the following steps:
extracting historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information;
and predicting the geological disaster trend of the current region by adopting a gray prediction algorithm according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information, and generating a result of predicting the geological disaster trend so as to form a model for predicting the geological disaster trend.
Based on the first aspect, in some embodiments of the present invention, the method further comprises the following steps:
comparing the geological disaster trend information of the current area with preset threshold value information to obtain a comparison result;
and carrying out disaster early warning on the current area according to the comparison result to generate texture disaster early warning information.
Based on the first aspect, in some embodiments of the present invention, the method further comprises the following steps:
and dividing the disaster occurrence area of the current area by adopting a trend surface analysis method according to the geological disaster trend information of the current area to obtain the geological disaster occurrence area distribution information of the area.
In a second aspect, an embodiment of the present application provides a regional geological disaster trend prediction system, including:
the information acquisition module is used for acquiring geological parameter information of a current region;
the reference region screening module is used for screening in a preset reference terrain library according to the geological parameter information of the current region to obtain reference region information;
the forecasting geological disaster trend model training module is used for extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a forecasting geological disaster trend model;
and the geological disaster trend prediction module is used for inputting the geological parameter information of the current region into the geological disaster trend prediction model to obtain the geological disaster trend information of the current region.
In the implementation process, the information acquisition module acquires geological parameter information of the current region, and then the reference region screening module screens in a preset reference terrain library according to the geological parameter information of the current region to obtain reference region information; the reference region information has a certain correlation with the current region, and then the predicted geological disaster trend model training module extracts and trains according to historical geological disaster information in the current region geological parameter information and historical geological disaster information in the reference region information to obtain a predicted geological disaster trend model; the geological disaster trend prediction module also takes historical geological disaster information in the reference region information as sample information, so that the number of samples trained in the geological disaster trend prediction model is increased, the obtained geological disaster trend prediction model is more accurate, and finally, geological parameter information of the current region is input into the geological disaster trend prediction model to obtain geological disaster trend information of the current region.
Based on the second aspect, in some embodiments of the invention, the reference region screening module includes:
the information extraction unit is used for extracting geological rock group information and topographic and geomorphic information in the geological parameter information of the current region;
and the terrain screening unit is used for screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The one or more programs, when executed by the processor, implement the method as described in any of the first aspects above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method as described in any one of the above first aspects.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a regional geological disaster trend prediction method and a regional geological disaster trend prediction system, wherein reference regional information is obtained by obtaining geological parameter information of a current region and then screening in a preset reference terrain library according to the geological parameter information of the current region; the reference region information has a certain correlation with the current region, and then historical geological disaster information in the current region geological parameter information and the historical geological disaster information in the reference region information are extracted and trained to obtain a predicted geological disaster trend model; the historical geological disaster information in the reference region information is also used as sample information, so that the number of samples trained in the geological disaster trend forecasting model is increased, the obtained geological disaster trend forecasting model is more accurate, and finally, the geological parameter information of the current region is input into the geological disaster trend forecasting model to obtain the geological disaster trend information of the current region. Comparing the geological disaster trend information of the current region with preset threshold value information to obtain a comparison result; and then carrying out disaster early warning on the current area according to the comparison result to generate texture disaster early warning information. Therefore, disaster early warning can be performed through the obtained geological disaster trend information of the current area, and loss is reduced. The method comprises the steps of dividing the disaster occurrence area of the current area by adopting a trend surface analysis method to obtain the distribution information of the geological disaster occurrence area of the area, and obtaining the distribution rule and the distribution trend of the geological disaster trend of the area on the space through the distribution information of the geological disaster occurrence area of the area, thereby being beneficial to people to know the distribution condition of the geological disaster.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a regional geological disaster trend prediction method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a regional geological disaster trend prediction system according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 110-an information acquisition module; 120-a reference region screening module; 130-a model training module for predicting geological disaster trend; 140-a geological disaster trend prediction module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
Examples
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for predicting a regional geological disaster trend according to an embodiment of the present invention. A regional geological disaster trend prediction method comprises the following steps:
step S110: acquiring geological parameter information of a current region; the geological parameter information of the current region can be directly input or obtained from other systems. The geological parameter information of the current region comprises geological rock group information, topographic and geomorphic information, historical geological disaster information, geographic information and the like of the current region.
Step S120: screening in a preset reference terrain library according to geological parameter information of the current region to obtain reference region information; the preset reference terrain library comprises reference terrains of a plurality of different areas and parameter information corresponding to the reference terrains, wherein the parameter information corresponding to the reference terrains comprises geological rock group information, terrain and landform information, historical geological disaster information and the like of the reference terrains. The screening in the preset reference terrain library according to the geological parameter information of the current region refers to the following process:
firstly, extracting geological rock group information and topographic and geomorphic information in geological parameter information of a current region; the geological rock group information comprises information such as names and codes of engineering geological rock groups, for example, hard rock bodies invade the rock groups, hard and hard lava rock groups, hard and hard block-shaped medium metamorphic rock groups. The topographic information refers to the change of the relief of the current region, i.e. the form of the surface, such as mountains, plains, plateaus, etc. For example, the geological rock group information extracted from the geological parameter information of the current region a is a hard massive medium metamorphic rock group, and the topographic and geomorphic information is a mountain land.
And then, screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information. The screening process refers to the following processes:
step one, comparing geological rock group information and topographic and geomorphic information with geological rock group information and topographic and geomorphic information corresponding to a reference region in a preset reference terrain library to obtain an effective reference region; the comparison refers to respectively comparing geological rock group information and terrain and landform information, firstly screening terrains with the same geological rock group information, and then further screening terrains with the same terrain and landform information in the screened terrains. For example, when the geological parameter information of the current area a is a harder massive medium metamorphic rock group and the topographic and geomorphic information is a mountain region, the terrains B1, B2, B3, B4 and B5 are screened from a reference terrain library, wherein the topographic and geomorphic information of the terrains B2, B3 and B4 is a mountain region, the topographic and geomorphic information of the landform B1 is a basin region and the topographic and geomorphic information of the landform B5 is a plateau region, the topographic and geomorphic information of the screened terrains B1, B2, B3, B4 and B5 is further screened from the mountain region, and finally the terrains B2, B3 and B4, the terrains B2, B3 and B4 are effective reference areas.
And secondly, extracting geological information of the effective reference region and using the geological information as reference region information. The geological information comprises geological rock group information, topographic and geomorphic information and historical geological disaster information. For example, the effective reference areas obtained by screening are terrains B2 and B3, the geological rock group information of the terrains B2 is a relatively hard block medium metamorphic rock group, the landform information is a mountain land, 3 times of mud-rock flow exist in historical geological disasters, and 1 time of mountain landslide; geological rock group information of the terrain B3 is a harder massive medium metamorphic rock group, terrain and landform information is a mountain land, and 1 landslide is caused in historical geological disasters.
Step S130: extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a prediction geological disaster trend model; the training process comprises the following steps:
firstly, extracting historical geological disaster information in geological parameter information of a current region and historical geological disaster information in reference region information; the historical geological disaster information comprises a geological disaster name, geological rock group information and topographic and geomorphic information corresponding to the occurrence of the geological disaster, the time of the occurrence of the disaster and the like.
And then, predicting the geological disaster trend of the current region by adopting a gray prediction algorithm according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information, and generating a result of predicting the geological disaster trend so as to form a model for predicting the geological disaster trend. The geological disaster trend prediction model is characterized in that historical geological disaster information in geological parameter information of a current region and historical geological disaster information in reference region information are used as samples, then prediction is carried out by adopting a gray prediction algorithm, and a prediction result is obtained and can be used as a geological disaster trend prediction result of the region. The historical geological disaster information includes time and geological disaster data occurring at the time, for example: the historical geological disaster information A comprises 1 time, 0 time, 1 time, 5 times, 1 time, 2 times, 1 time and 1 time of debris flow occurrence in the corresponding year from 1991 to 2000. Firstly, acquiring a GM (1, 1) model from geological disaster data occurring at each time by adopting a gray prediction algorithm, then inspecting the GM (1, 1) model, and finally acquiring a result of predicting the geological disaster trend to form a model for predicting the geological disaster trend. The gray prediction algorithm belongs to the prior art, and is not described herein again.
Step S140: and inputting the geological parameter information of the current region into a geological disaster trend forecasting model to obtain the geological disaster trend information of the current region. The geological disaster trend forecasting model carries out forecasting according to input geological parameter information of the current region, so that a forecasting result is obtained, and the geological parameter information of the current region mainly comprises geological rock group information and topographic and geomorphic information. The geological disaster tendency information of the current area refers to information such as a type of geological disaster occurring in a future period of time, a frequency of occurrence, and the like, geographical information, and the like.
In the implementation process, the geological parameter information of the current region is obtained, and then the geological parameter information of the current region is screened in a preset reference terrain library according to the geological parameter information of the current region to obtain the reference region information; the reference region information has a certain correlation with the current region, and then historical geological disaster information in the current region geological parameter information and the historical geological disaster information in the reference region information are extracted and trained to obtain a predicted geological disaster trend model; the historical geological disaster information in the reference region information is also used as sample information, so that the number of samples trained in the geological disaster trend forecasting model is increased, the obtained geological disaster trend forecasting model is more accurate, and finally, the geological parameter information of the current region is input into the geological disaster trend forecasting model to obtain the geological disaster trend information of the current region.
The disaster early warning can be carried out through the obtained geological disaster trend information of the current area, and the method mainly comprises the following steps:
firstly, comparing geological disaster trend information of a current region with preset threshold value information to obtain a comparison result; the preset threshold information refers to an early warning value set according to the actual situation of the current region, and the preset threshold information can be the number of times of geological disasters or the category of the geological disasters. For example, the number of geological disasters in the geological disaster trend information of the current region is 2, the preset threshold value information is the number of geological disasters is 1, and the comparison result is that the geological disaster trend of the current region exceeds the preset threshold value. And comparing the geological disaster category in the geological disaster trend information of the current region with the debris flow to obtain a comparison result that the geological disaster trend of the current region exceeds a preset threshold value of the preset threshold value information.
And then, carrying out disaster early warning on the current area according to the comparison result to generate geological disaster early warning information. When the comparison result exceeds a preset threshold value, disaster early warning can be carried out, and geological disaster early warning information is generated. When the geological disaster early warning information comprises text information, for example, "a region a will have debris flow, please pay attention to risk avoidance".
In the implementation process, the geological disaster trend information of the current region is compared with preset threshold value information to obtain a comparison result; and then carrying out disaster early warning on the current area according to the comparison result to generate texture disaster early warning information. Therefore, disaster early warning can be performed through the obtained geological disaster trend information of the current area, and loss is reduced.
Wherein, in order to further show the distribution of geological disaster trend, can also carry out the following step:
and dividing the disaster occurrence area of the current area by adopting a trend surface analysis method according to the geological disaster trend information of the current area to obtain the geological disaster occurrence area distribution information of the area. The geological disaster trend information of the current region comprises the geological disaster trend of the whole region, and the geological disaster trend of the region is further analyzed by adopting a trend surface analysis method according to the geographic information of the region, so that the distribution rule and the distribution trend of the geological disaster trend on the space can be shown. The above-mentioned division into regions means:
firstly, digitally processing a picture of a current area: map digitization processing can be carried out on basic data (including a geological bottom map and the like) of the current region by adopting Mapgiss 6.7;
then, carrying out regional rasterization treatment: dividing the current region into a plurality of grids by using a grid data processing method, and carrying out vectorization operation;
and finally, evaluating according to a trend surface analysis method to finally obtain the distribution information of the geological disaster occurrence area of the area. The trend surface analysis method is related to the prior art and will not be described herein.
In the implementation process, the disaster occurrence area is divided in the current area by adopting a trend surface analysis method, the geological disaster occurrence area distribution information of the area is obtained, the distribution rule and the distribution trend of the geological disaster trend of the area on the space can be obtained through the geological disaster occurrence area distribution information of the area, and people can be helped to clear the distribution situation of the geological disaster.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating a regional geological disaster trend prediction system based on the same inventive concept, the regional geological disaster trend prediction system includes:
an information obtaining module 110, configured to obtain geological parameter information of a current region;
a reference region screening module 120, configured to screen in a preset reference terrain library according to the current region geological parameter information to obtain reference region information;
the predicted geological disaster trend model training module 130 is used for extracting and training historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a predicted geological disaster trend model;
and the geological disaster trend prediction module 140 is configured to input the geological parameter information of the current region into the geological disaster trend prediction model to obtain the geological disaster trend information of the current region.
In the implementation process, the information obtaining module 110 obtains the geological parameter information of the current region, and then the reference region screening module 120 screens the geological parameter information of the current region in a preset reference terrain library according to the geological parameter information of the current region to obtain the reference region information; the reference region information has a certain correlation with the current region, and then the predicted geological disaster trend model training module 130 extracts and trains according to historical geological disaster information in the current region geological parameter information and historical geological disaster information in the reference region information to obtain a predicted geological disaster trend model; the geological disaster trend prediction module 140 uses the historical geological disaster information in the reference region information as sample information, so that the number of samples for training in the geological disaster trend prediction model is increased, the obtained geological disaster trend prediction model is more accurate, and finally, the geological parameter information of the current region is input into the geological disaster trend prediction model to obtain the geological disaster trend information of the current region.
The reference region screening module 120 includes:
the information extraction unit is used for extracting geological rock group information and topographic and geomorphic information in the geological parameter information of the current region;
and the terrain screening unit is used for screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information.
Referring to fig. 3, fig. 3 is a schematic structural block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device comprises a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected with each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to a regional geological disaster trend prediction system provided in the embodiments of the present application, and the processor 102 executes the software programs and modules stored in the memory 101, so as to execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that the electronic device may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The above-described functions, if implemented in the form of software functional modules and sold or used as a separate product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-described method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, according to the regional geological disaster trend prediction method and system provided by the embodiment of the present application, the regional geological disaster trend prediction method obtains the current regional geological parameter information, and then performs screening in the preset reference terrain library according to the current regional geological parameter information to obtain the reference regional information; the reference region information has a certain correlation with the current region, and then historical geological disaster information in the current region geological parameter information and the historical geological disaster information in the reference region information are extracted and trained to obtain a predicted geological disaster trend model; the historical geological disaster information in the reference region information is also used as sample information, so that the number of samples trained in the geological disaster trend forecasting model is increased, the obtained geological disaster trend forecasting model is more accurate, and finally, the geological parameter information of the current region is input into the geological disaster trend forecasting model to obtain the geological disaster trend information of the current region.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A regional geological disaster trend prediction method is characterized by comprising the following steps:
acquiring geological parameter information of a current region;
screening in a preset reference terrain library according to geological parameter information of the current region to obtain reference region information;
extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a prediction geological disaster trend model;
and inputting the geological parameter information of the current region into a geological disaster trend forecasting model to obtain the geological disaster trend information of the current region.
2. The regional geological disaster trend prediction method according to claim 1, wherein the step of screening in a preset reference terrain library according to the current regional geological parameter information to obtain the reference regional information comprises the following steps:
extracting geological rock group information and topographic and geomorphic information in geological parameter information of the current region;
and screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information.
3. The regional geological disaster trend prediction method according to claim 2, wherein the step of screening in a preset reference terrain library according to geological rock group information and topographic and geomorphic information to obtain reference regional information comprises the following steps:
comparing the geological rock group information and the topographic and geomorphic information with geological rock group information and topographic and geomorphic information corresponding to a reference region in a preset reference terrain library to obtain an effective reference region;
and extracting geological information of the effective reference region and using the geological information as reference region information.
4. The regional geological disaster trend prediction method according to claim 1, wherein the step of extracting and training the historical geological disaster information in the current regional geological parameter information and the historical geological disaster information in the reference regional information to obtain the predicted geological disaster trend model comprises the following steps:
extracting historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information;
and predicting the geological disaster trend of the current region by adopting a gray prediction algorithm according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information, and generating a result of predicting the geological disaster trend so as to form a model for predicting the geological disaster trend.
5. The method for predicting regional geological disaster trends according to claim 1, further comprising the steps of:
comparing the geological disaster trend information of the current area with preset threshold value information to obtain a comparison result;
and carrying out disaster early warning on the current area according to the comparison result to generate texture disaster early warning information.
6. The method for predicting regional geological disaster trends according to claim 1, further comprising the steps of:
and dividing the disaster occurrence area of the current area by adopting a trend surface analysis method according to the geological disaster trend information of the current area to obtain the geological disaster occurrence area distribution information of the area.
7. A regional geological disaster trend prediction system, comprising:
the information acquisition module is used for acquiring geological parameter information of a current region;
the reference region screening module is used for screening in a preset reference terrain library according to the geological parameter information of the current region to obtain reference region information;
the forecasting geological disaster trend model training module is used for extracting and training according to historical geological disaster information in the geological parameter information of the current region and historical geological disaster information in the reference region information to obtain a forecasting geological disaster trend model;
and the geological disaster trend prediction module is used for inputting the geological parameter information of the current region into the geological disaster trend prediction model to obtain the geological disaster trend information of the current region.
8. The regional geologic hazard trend prediction system of claim 7, wherein the reference region screening module comprises:
the information extraction unit is used for extracting geological rock group information and topographic and geomorphic information in the geological parameter information of the current region;
and the terrain screening unit is used for screening in a preset reference terrain library according to the geological rock group information and the terrain and landform information to obtain reference region information.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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