Newborn landslide hidden danger identification method and system, computing device and medium

Abstract

The invention relates to a new landslide hidden danger identification method and system, computing equipment and a medium. The method comprises the following steps: acquiring occurrence frequencies of different historical feature elements of the same geological environment factor in a plurality of occurred landslides in a to-be-identified area before the landslides occur, and determining first target feature elements corresponding to the various geological environment factors; obtaining all feature elements of each geological environment factor corresponding to each rock mass in the to-be-identified area; matching all feature elements of each geological environment factor corresponding to each rock mass with the corresponding first target feature elements, and determining a first number of successfully matched elements; the total number of the first numbers corresponding to all the rock masses is obtained, if the total number is larger than a preset number threshold value, the rock masses are target rock masses, and the target rock masses are determined as hidden danger points. According to the method, the new bedding rock landslide hidden danger can be accurately identified, so that the early warning and prevention effects on landslide disasters are improved.

Description

Background Art

[0002] Landslide is a natural disaster in which the rock and soil on the slope slides down the slope as a whole or in a scattered manner, under the action of gravity, along a certain weak surface or weak zone, under the influence of factors such as river scouring, groundwater activity, rainwater soaking, earthquakes and artificial slope cutting. Landslide is one of the most serious natural disasters, causing a large number of casualties and huge economic losses every year. For example, the landslide disaster is the most prominent in the Three Gorges Reservoir area. Under the conditions of hydrogeological action, the long-term action of rainfall and reservoir water can easily lead to slope instability and damage, resulting in landslides, causing significant human and economic losses. Extreme rainfall and reservoir water soaking in the Three Gorges Reservoir area induce new bedding rock landslides, causing mass deaths and injuries. Therefore, it is of great significance to carry out early warning and prevention of landslide disasters. The traditional early warning and prevention method usually monitors the landslide risk points and issues early warning reminders based on the monitoring situation. However, traditional investigation and identification methods are difficult to identify the risks of new bedding rock landslides, resulting in poor early warning and prevention of landslide disasters. Summary of the invention

[0003] The present invention aims to solve the technical problems in the related art at least to a certain extent, and provides a method, system, computing device and medium for identifying new landslide hazards.

[0004] In the first aspect, in order to solve the above technical problems, the present invention provides a method for identifying new landslide hazards, comprising:

[0005] Obtaining the occurrence frequencies of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs; the occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environmental factor within a preset time period before the landslide occurs;

[0006] The historical characteristic elements with a frequency greater than a preset frequency threshold in the same geological environmental factors are taken as the first target characteristic elements;

[0007] Acquire all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified;

[0008] For each of the rock masses, all characteristic elements of each geological environmental factor corresponding to the rock mass are matched with each of the first target characteristic elements of the same geological environmental factor, and a first number of characteristic elements in each geological environmental factor that are successfully matched with the first target characteristic elements is determined;

[0009] The total number of the first quantity corresponding to each of the rock masses is obtained. If the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

[0010] In a second aspect, in order to solve the above technical problems, the present invention provides a new landslide hazard identification system comprising:

[0011] The first acquisition module is used to obtain the occurrence frequency of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs; the occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environmental factor within a preset time period before the landslide occurs;

[0012] A target module, used to take the historical characteristic elements with a frequency greater than a preset frequency threshold in the same geological environmental factors as the first target characteristic elements;

[0013] The second acquisition module is used to acquire all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified;

[0014] A matching module is used to match, for each of the rock masses, all characteristic elements of each geological environmental factor corresponding to the rock mass with each of the first target characteristic elements of the same geological environmental factor, and determine a first number of characteristic elements in each geological environmental factor that successfully match the first target characteristic elements;

[0015] The determination module is used to obtain the total number of the first quantity corresponding to each rock mass. If the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

[0016] In the third aspect, in order to solve the above-mentioned technical problem, the present invention provides a computing device, including a memory, a processor and a program stored in the memory and running on the processor, and when the processor executes the program, the steps of a new landslide hazard identification method as described above are implemented.

[0017] In a fourth aspect, in order to solve the above-mentioned technical problem, the present invention provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal device, the terminal device executes the steps of a method for identifying new landslide hazards as described above.

[0018] The beneficial effect of the present invention is that by obtaining the occurrence frequencies of different historical characteristic elements of the same geological environmental factors in multiple landslides that have occurred in the area to be identified before the landslide occurs, the historical characteristic elements of the same geological environmental factors whose occurrence frequencies are greater than a preset frequency threshold are used as the first target characteristic elements, so that the same characteristic elements among multiple landslides that have occurred in the area to be identified can be determined, that is, the first target characteristic elements are the characteristic elements that may cause the landslide to occur.

[0019] Then obtain all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified. For each rock mass, match all characteristic elements corresponding to each geological environmental factor of the rock mass with each first target characteristic element of the same geological environmental factor, determine the first number of successful matches between the characteristic elements in each geological environmental factor and the first target characteristic elements in the same geological environmental factor, so as to determine the number of characteristic elements in each rock mass that may cause landslides.

[0020] Then the total number of each rock mass is compared with the preset number threshold, and the rock mass with a number greater than the preset number threshold is determined as the target rock mass. That is, the number of characteristic elements that may cause landslides in the target rock mass is large, which is very likely to cause landslides in the rock mass. Therefore, the target rock mass is determined as a hidden danger point, that is, a hidden danger of new bedding rock landslides.

[0021] In this way, by analyzing the characteristic elements of multiple landslides that have occurred in the identified area, the first target characteristic elements that may cause landslides are determined. Then the characteristic elements of the rock mass are matched with the first target characteristic elements to determine the number of first target characteristic elements that may cause landslides in the rock mass. When there are a large number of characteristic elements that may cause landslides in the rock mass, it means that when the rock mass is about to slide, the boundary restrictions it is subject to are weak, that is, the probability of landslides in the rock mass is greater, and there is a greater landslide hazard. In this way, the hazard points or new bedding rock landslide hazards can be identified more accurately, so as to improve the effect of early warning and prevention of landslide disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A flow chart of a method for identifying new landslide hazards provided by the present invention;

[0023] Figure 2 A schematic diagram of the distribution of a high-risk area provided by the present invention;

[0024] Figure 3 A schematic diagram of the distribution of a potential hazard section provided by the present invention;

[0025] Figure 4 A schematic diagram of the distribution of potential danger points provided by the present invention;

[0026] Figure 5 This is a structural schematic diagram of a new landslide hazard identification system provided by the present invention. DETAILED DESCRIPTION

[0027] The principles and features of the present invention are described below. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0028] A new landslide hazard identification method, system, computing device and medium according to an embodiment of the present invention will be described below in conjunction with the accompanying drawings.

[0029] like Figure 1 As shown, this embodiment provides a method for identifying new landslide hazards, including:

[0030] Step S101, obtaining the occurrence frequency of different historical characteristic elements of the same geological environment factor in multiple landslides that have occurred in the area to be identified before the landslide occurs. The occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environment factor within a preset time period before the landslide occurs.

[0031] The landslide that has occurred was a rock mass before the landslide occurred. The rock mass can be regarded as a "six-rock surface body" developed in a natural slope. In addition to the air above it is not subject to resistance, the "six-rock surface body" will be restricted by up to 5 rock surfaces when sliding, including anti-sliding at the bottom, resistance at the front edge, tensile resistance at the rear edge, and shear resistance at the boundaries on both sides. The fewer the number of boundary restrictions on the "six-rock surface body" or the weaker the boundary restrictions, the more likely it is to have a landslide. The boundary restrictions on each rock surface of the rock mass are manifested as characteristic elements. Therefore, by determining the frequency of occurrence of different historical characteristic elements of the same geological environmental factors of multiple landslides in the area to be identified before the landslide occurs, the higher the frequency of occurrence, the poorer the boundary restriction effect of the characteristic elements of this geological environmental factor on the rock mass.

[0032] It is understandable that a landslide has six rock faces, namely, the surface, the bottom, the front edge, the rear edge, the left side and the right side. Therefore, obtaining different historical characteristic elements of the same geological environmental factors in a landslide that has occurred refers to obtaining different historical characteristic elements of at least one geological environmental factor corresponding to each rock face of a landslide that has occurred. In this embodiment, multi-source data of a landslide that has occurred can be obtained, such as historical elevation data, historical geological image data, historical remote sensing data, historical rock formation occurrence data, geological survey data, geological disaster exploration data, etc. The different historical characteristic elements of the same geological environmental factors of each landslide that has occurred are determined by analyzing and calculating the multi-source data. Since obtaining the historical characteristic elements of a landslide that has occurred is a relatively mature prior art, it will not be described in detail here.

[0033] In this embodiment, the area to be identified is a region with complex geological structure, slippery strata, and frequent geological disasters. It is a region where landslide disasters occur frequently in my country. For example, this embodiment takes the Three Gorges Reservoir area, focusing on the Zigui Basin as the research area, that is, the area to be identified. This area is located in the transition zone from the second terrace to the third terrace of China's terrain. It is the junction of the eastern Sichuan fold and the western Hubei mountain. It is a medium and low mountain erosion canyon landform. Located in the core of the Zigui syncline basin and the composite part of the north and south wings of the Baifuping-Liulaiguan anticline, the strata in the area mainly develop clastic rocks of Jurassic sandstone and mudstone interlayers. The geological structure in the area is complex, the strata are slippery, and geological disasters occur frequently. It is a region where landslide disasters occur frequently in my country.

[0034] It can be understood that this embodiment uses the Three Gorges Reservoir as the research area, and extreme rainfall and reservoir water immersion in the Three Gorges Reservoir area induce new bedding rock landslides. Therefore, this embodiment actually carries out a specific study on bedding rock landslides, that is, the new landslide hazard in this embodiment refers to the new bedding rock landslide hazard.

[0035] Step S102: taking the historical characteristic elements of the same geological environment factors whose occurrence frequency is greater than a preset frequency threshold as the first target characteristic elements.

[0036] It is understandable that the number of first target characteristic elements corresponding to the same geological environment factor includes at least one. The higher the frequency of occurrence, the more likely it is that the first target characteristic element corresponding to the geological environment factor is the characteristic element that causes the rock mass to slide. That is, when the rock mass is about to slide, the characteristic element has a poor ability to restrict the rock mass boundary.

[0037] Step S103, obtaining all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified.

[0038] Step S104, for each rock mass, all characteristic elements of each geological environmental factor corresponding to the rock mass are matched with each first target characteristic element of the same geological environmental factor, and a first number of characteristic elements in each geological environmental factor that successfully match with the first target characteristic element is determined.

[0039] Step S105, obtaining the total number of the first quantity corresponding to each rock mass, if the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

[0040] A new landslide hazard identification method provided by this embodiment is adopted. By obtaining the occurrence frequency of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs, the historical characteristic elements of the same geological environmental factor with an occurrence frequency greater than a preset frequency threshold are used as the first target characteristic elements, so that the same characteristic elements between multiple landslides that have occurred in the area to be identified can be determined, that is, the first target characteristic element is the characteristic element that may cause the landslide to occur. Then all characteristic elements of each geological environmental factor corresponding to each rock body in the area to be identified are obtained. For each rock body, all characteristic elements corresponding to each geological environmental factor of the rock body are matched with each first target characteristic element of the same geological environmental factor, and the first number of characteristic elements in each geological environmental factor that are successfully matched with the first target characteristic element in the same geological environmental factor is determined, so as to determine the number of characteristic elements that may cause the landslide to occur in each rock body. Then the total number of each rock body is compared with the preset number threshold, and the rock body greater than the preset number threshold is determined as the target rock body. That is, the number of characteristic elements that may cause the landslide to occur in the target rock body is large, which is very likely to cause the rock body to cause a landslide. Therefore, the target rock mass is identified as a potential hazard point, namely, the potential hazard of new bedding rock landslide.

[0041] In this way, by analyzing the characteristic elements of multiple landslides that have occurred in the identified area, the first target characteristic elements that may cause landslides are determined. Then the characteristic elements of the rock mass are matched with the first target characteristic elements to determine the number of first target characteristic elements that may cause landslides in the rock mass. When there are a large number of characteristic elements that may cause landslides in the rock mass, it means that when the rock mass is about to slide, the boundary restrictions it is subject to are weak, that is, the probability of landslides in the rock mass is greater, and there is a greater landslide hazard. In this way, the hazard points or new bedding rock landslide hazards can be identified more accurately, so as to improve the effect of early warning and prevention of landslide disasters.

[0042] Preferably, the types of geological environmental factors include topography, geological structure, slope structure and stratum lithology.

[0043] Existing landslides usually have typical topographic and geomorphic features, such as flat rock surfaces in the shape of semicircles, tongues, or fans, steep cliffs facing the air at the front edge, large undulations in the slope rock surface, stepped drops and water-collecting depressions at the rear edge, and gullies on both sides.

[0044] The geological structure has a large impact range. The non-uniform distribution of ground stress caused by the structure is the primary driving force for landslides, and the area near the structure is also a high-incidence area for landslides, especially near the fault fracture zone and the fold sharp turn zone.

[0045] When the slope has a distinct broken line with a steep top and a gentle bottom, or a nearly straight line, and the terrain slope and the rock layer inclination angle exceed 35°, the slope is more likely to start under the action of gravity. The boundary cutting of the slope determines the amount of energy required for the slope to start sliding and the amount of resistance during movement. When the slope has multiple rock surfaces cut to form a relatively isolated structure, it is easy to be deformed by external disturbances, or when there are joints and fissures that alternately cut the rock mass, the broken rock mass will weaken the overall support capacity of the slope. Therefore, the slope structure will also have an important impact on whether the rock mass will slide.

[0046] The stratum lithology includes slippery strata and lithology. Usually, the slippery strata and lithology of the landslides that have occurred in the same area are very similar. For example, when the area to be identified is the Three Gorges Reservoir area, statistics show that 70% of the existing landslides in the reservoir area are developed in the "slippery strata", and typical new landslides are also bred in the Jurassic, Triassic, part of the Permian, and Silurian sedimentary strata, and the lithology is mostly sandstone, mudstone or sandstone mudstone. The rock mass composition structure has soft and hard interlayers or unequal thickness interlayers. The relatively soft or thin layers are very easy to disintegrate and break under the compression of the upper rock mass. Once mud is formed under the long-term action of groundwater, a natural aquiclude will be formed, which is not conducive to the stability of the upper rock layer and easily leads to landslide disasters.

[0047] Therefore, topography, geological structure, slope structure and stratum lithology can affect the restrictions on the rock mass boundary. When the rock mass boundary is poorly restricted, the rock mass will encounter less resistance when it is about to slide, and the more likely it is to cause a landslide disaster. Therefore, by determining the types of geological environmental factors as topography, geological structure, slope structure and stratum lithology, the geological environmental factors that cause rock mass landslides can be more accurately determined, so as to determine the historical characteristic elements and the first target characteristic elements corresponding to each geological environmental factor, so as to improve the accuracy of identifying potential danger points, that is, to improve the accuracy of identifying new bedding rock landslide hazards.

[0048] In some embodiments, as shown in Table 1, Table 1 is a first data table. Table 1 shows the corresponding relationship between the geological environment factors and the first target characteristic elements.

[0049] Table 1

[0050]

[0051] Furthermore, obtaining the occurrence frequencies of different historical characteristic elements of the same geological environmental factors in multiple landslides that have occurred in the area to be identified before the landslide occurs includes: obtaining multi-source data in the area to be identified, and determining at least one historical characteristic element when the geological environmental factors in each landslide that has occurred in the area to be identified are topography, geological structure, slope structure and stratum lithology based on the multi-source data. Based on all the historical characteristic elements, determining the occurrence frequencies of different historical characteristic elements of the same geological environmental factors in multiple landslides that have occurred in the area to be identified before the landslide occurs.

[0052] In this way, through multi-source data in the area to be identified, it is possible to more accurately determine at least one historical characteristic element when the geological environmental factors in multiple landslides that have occurred are topography, geological structure, slope structure and stratum lithology, thereby facilitating the determination of the frequency of occurrence of different historical characteristic elements of the same geological environmental factors.

[0053] For example, there are four geological environmental factors in the area to be identified: topography, geological structure, slope structure and stratum lithology.

[0054] The geological environment factors are topography and geomorphology. Different historical characteristic elements before the landslide occurred include monocline topography, frontal air and deep gullies. Among them, monocline topography appeared 2 times, frontal air appeared 5 times, and deep gullies appeared 3 times. The frequencies of the three are 2 / 10, 5 / 10, and 3 / 10 respectively.

[0055] The geological environment factors are topography and landforms. Different historical characteristic elements before the landslide occurred include regional fault fracture zones and regional fold abrupt zones. Among them, regional fault fractures appeared 5 times and regional fold abrupt zones appeared 3 times, so the frequencies of their occurrence were 5 / 10 and 5 / 10 respectively.

[0056] The geological environment factor is the slope structure. The different historical characteristic elements before the landslide occurred include the direct and oblique direct structures. Among them, the direct structure appeared 6 times and the oblique direct structure appeared 4 times, so the frequency of occurrence of the two is 6 / 10 and 4 / 10 respectively.

[0057] The geological environmental factors are stratum lithology. Different historical characteristic elements before the landslide occurred include slippery stratum (Jurassic) and lithology (carbonaceous shale), slippery stratum (Triassic) and lithology (carbonaceous shale). Among them, slippery stratum (Jurassic) and lithology (carbonaceous shale) appeared 6 times, slippery stratum (Triassic) and lithology (carbonaceous shale) appeared 4 times, and the frequency of occurrence of the two was 6 / 10 and 4 / 10 respectively.

[0058] Preferably, all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified are obtained, including: obtaining the first distribution situation corresponding to the first target characteristic element when the geological environmental factor is topography in the area to be identified, and the second distribution situation corresponding to the first target characteristic element when the geological environmental factor is geological structure. The area where the first distribution situation and the second distribution situation are both concentrated is regarded as a prone area. All characteristic elements of each geological environmental factor corresponding to each rock mass in the prone area are obtained. Among them, the first distribution situation includes concentrated distribution and sparse distribution. The second distribution situation includes concentrated distribution and sparse distribution.

[0059] For example, when the geological environmental factor is topography, the first target characteristic element is broken line topography and monocline topography, and when the geological environmental factor is geological structure, the first target characteristic element is the regional fold sharp turn zone. Perform regional topography and geomorphology analysis on the area to be identified, and determine the first distribution situation when the first target characteristic element is broken line topography. Perform regional geological structure analysis on the area to be identified, and determine the second distribution situation when the first target characteristic element is the regional fold sharp turn zone. The area where both the first distribution situation and the second distribution situation are concentrated is determined as a prone area.

[0060] Since the scope of the area to be identified is large and the number of rock masses is large. If each rock mass is identified one by one, it will take a lot of time and the efficiency of identifying hidden danger points is low, that is, the efficiency of identifying hidden dangers of new bedding rock landslides is low. Since the distribution range of topography and geological structure is wide, the recognition efficiency is high. Therefore, by obtaining the distribution of the first target characteristic elements corresponding to the topography and geological structure in the area to be identified, when the first distribution and the second distribution in the same area are both concentrated, it means that the characteristic elements in the area have less restrictions on the boundaries of the rock mass, that is, the rock mass in the area is very prone to landslides and is a prone area. In this way, by determining the prone area in the area to be identified and identifying each rock mass in the prone area, it can not only reduce the number of rock masses to be identified to improve the recognition efficiency, but also ensure the accuracy of identifying hidden danger points.

[0061] In some embodiments, the elevation data of the area to be identified is obtained, and the elevation data is calculated to obtain multiple slope information and multiple undulation information, and at least one characteristic element corresponding to the topography in the area to be identified is determined based on the characteristic elements corresponding to the topography in the area to be identified. Then, the first distribution is determined based on each characteristic element corresponding to the topography.

[0062] In some embodiments, a geological image and a remote sensing image of the area to be identified are obtained, the geological image is analyzed and the remote sensing image is interpreted, and at least one characteristic element when the geological environment factor in the area to be identified is a geological structure is determined. Then, based on each first target characteristic element when the geological environment factor is a geological structure, the second distribution is determined.

[0063] In some embodiments, when the area to be identified is the Three Gorges Reservoir area, twelve prone areas, namely, prone areas for bedding rock landslides, are determined by analyzing the distribution of the first target characteristic elements corresponding to the geological structure and topography of the Three Gorges Reservoir area. Figure 2 As shown, Figure 2 This is a schematic diagram of the distribution of prone areas. Figure 2 The figure shows the Three Gorges Reservoir area and the distribution of several prone areas within the Three Gorges Reservoir area.

[0064] As shown in Table 2, Table 2 is the second data table. Table 2 shows the correspondence between each prone area and the first target characteristic element when the geological environmental factor is geological structure and topography. The "first target characteristic element" in Table 2 is the first target characteristic element corresponding to the geological structure and topography. Specifically, the first target characteristic element when the geological environmental factor is geological structure includes the regional fold sharp turn zone and the rock formation attitude mutation zone. The first target characteristic element when the geological environmental factor is topography includes the front edge air and broken line terrain, monocline terrain. In addition, since the area to be identified in this embodiment is the Three Gorges Reservoir area, the reservoir water has the effect of inducing landslides on the rock mass. Therefore, Table 2 also introduces the relationship between the prone area and the reservoir water, that is, the first target characteristic element also includes the reservoir water level above the potential sliding surface or turning point, so that scientific researchers can analyze the impact of reservoir water on the bedding rock landslide. The "satisfied characteristic elements" in Table 2 are the characteristic elements that exist in the prone area and successfully match the first target characteristic elements.

[0065] Table 2

[0066]

[0067]

[0068] Combined with the table 2, when the number of characteristic elements satisfied by the prone area is more, it means that the prone area is more prone to bedding rock landslides than other prone areas, and needs to be paid special attention. For example, the characteristic elements satisfied by both sides of the Zhaxi River backwater area are ① regional fold sharp turn zone; ② rock formation attitude mutation zone; ③ front edge facing the air; ④ broken line terrain, monocline terrain; ⑤ reservoir water level is above the potential sliding surface or turning point. The characteristic elements satisfied by the Changtan River backwater area are ① regional fold sharp turn zone; ② rock formation attitude mutation zone; ④ broken line terrain, monocline terrain; ⑤ reservoir water level is above the potential sliding surface or turning point. The number of characteristic elements satisfied by both sides of the Zhaxi River backwater area is 5, and the number of characteristic elements satisfied by the Changtan River backwater area is 4. Therefore, the two sides of the Zhaxi River backwater area are more prone to bedding rock landslides than the Changtan River backwater area.

[0069] Preferably, all characteristic elements of each geological environmental factor corresponding to each rock mass in the prone area are obtained, including: obtaining the third distribution situation corresponding to the first target characteristic element when the geological environmental factor is a slope structure in the prone area, and the fourth distribution situation corresponding to the first target characteristic element when the geological environmental factor is stratum lithology. The area where both the third distribution situation and the fourth distribution situation are concentrated is regarded as a hidden danger section. All characteristic elements of each geological environmental factor corresponding to each rock mass in the hidden danger section are obtained. Among them, the third distribution situation includes concentrated distribution and sparse distribution. The fourth distribution situation includes concentrated distribution and sparse distribution.

[0070] For example, when the geological environmental factor is slope structure, the first target characteristic element is the forward and oblique forward slopes, and when the geological environmental factor is stratum lithology, the first target characteristic element is the slippery stratum (Jurassic) and lithology (mudstone). Perform regional slope structure analysis on the prone area, and determine the third distribution situation when the first target characteristic element is the forward and oblique forward slopes. Perform stratum lithology analysis on the prone area, and determine the fourth distribution situation when the first target characteristic element is the slippery stratum (Jurassic) and (mudstone). The area where both the third distribution situation and the fourth distribution situation are concentrated is regarded as the hidden danger section in the prone area.

[0071] Since the area corresponding to the topography and geological structure is relatively large, in order to further improve the efficiency of identifying potential danger points, that is, to improve the efficiency of identifying the potential dangers of new bedding rock landslides, it is necessary to identify the prone areas and determine the areas in the prone areas where landslides may occur. Therefore, by obtaining the distribution of the first target characteristic elements corresponding to the slope structure and stratum lithology in the prone areas, when the third distribution and the fourth distribution in the same area are both concentrated, it means that the characteristic elements in the area have less restrictions on the rock mass boundary, that is, the rock mass in the area is very prone to landslides and is a potential danger section. In this way, by determining the potential danger section in the prone area and identifying each rock mass in the potential danger section, it can not only further reduce the number of rock masses required to be identified to improve the identification efficiency, but also ensure the accuracy of identifying potential danger points.

[0072] In some embodiments, elevation data and rock formation occurrence data in the prone area are obtained, and based on the elevation data and rock formation occurrence data, the prone area is gridded, and at least one characteristic element when the geological environment factor in the prone area is a slope structure is determined. The third distribution is then determined based on each characteristic element corresponding to the slope structure when the geological environment factor is a slope structure.

[0073] In some embodiments, based on geological survey data, the distribution area of ​​stratum lithology is determined, and the fourth distribution situation is determined accordingly.

[0074] In some embodiments, multiple prone areas can also be merged and organized as new prone areas based on the distribution of prone areas and the actual geographical distribution. For example, among the twelve prone areas of bedding rock landslides shown above, three are in the Zigui Basin, and the clastic rock forward slopes (slope structures that are very prone to landslides) are also relatively concentrated in the Zigui section. Therefore, based on the distribution of each prone area, this embodiment takes the Zigui Basin, where multiple prone areas are relatively concentrated, as a new prone area for research, focusing on the clastic rock forward slopes near the river, especially the forward slopes developed in slippery strata and affected by geological structures, and delineating bedding rock landslide risk sections, i.e., risk sections, in the main stream and important tributaries. Figure 3 As shown, Figure 3 This is a schematic diagram of the distribution of hidden danger sections. Figure 3 The figure shows the distribution of various risk sections when the prone area is the Zigui Basin.

[0075] As shown in Table 3, Table 3 is the third data table. Table 3 shows the correspondence between each hidden danger section and the first target characteristic element when the geological environment factor is the slope structure and the stratum lithology. The "first target characteristic element" in Table 3 is the first target characteristic element when the geological environment factor is the slope structure and the stratum lithology. Specifically, the first target characteristic element when the geological environment factor is the slope structure includes the forward and oblique forward slopes. The first target feature when the geological environment factor is the stratum lithology includes slippery strata and lithology. For ease of understanding, Table 3 does not show the specific slippery strata and specific lithology content when the geological environment factor is the stratum lithology. In addition, this Table 3 also shows that the first target characteristic element includes the first target characteristic element when the geological environment factor is the topography and landform, which is the broken line terrain and monocline terrain. Since this embodiment is a study of the Three Gorges Reservoir area, each hidden danger section is located near the main stream or tributary, and the river water will also induce landslides in the rock mass. Therefore, Table 3 also shows the positional relationship between the hidden danger section and the river bank, that is, the first target characteristic element is the river bank slope. The “satisfied characteristic elements” in Table 3 are characteristic elements existing in the potential hazard section that successfully match the first target characteristic elements.

[0076] Table 3

[0077]

[0078]

[0079] As shown in Table 3, when the number of characteristic elements satisfied by the potential hazard section is more, it indicates that the potential hazard section is more prone to landslide than other potential hazard sections and needs special attention.

[0080] In this embodiment, the distribution of hidden danger sections in the main stream mainly includes three sections: a. The Triassic strata dominated by the forward slope are mainly distributed in the Shuping to Dianziwan section on the right bank of the Yangtze River, and the Lujiabao to Guandukou section on the left bank of the Yangtze River. The lithology is mainly sandstone, mudstone, and marl. b. The Jurassic strata dominated by the oblique forward slope are mainly distributed in the Xiangxi River estuary to the Xietan River estuary section on the left bank of the Yangtze River, and the Tongzhuang River estuary to the Qinggan River estuary section on the right bank of the Yangtze River. Sandstone and siltstone are mainly developed. c. The Silurian strata dominated by the oblique forward slope are mainly distributed near the Xintan landslide in Quyuan Town. The lithology is mainly mudstone, silty mudstone and muddy siltstone. The distribution of hidden danger sections on important tributaries of the Yangtze River mainly includes three sections: a. The Zhaxi River section is located in the center of the Zigui Basin, where Jurassic strata are developed. The rock slope is mainly the forward slope, and the lithology is mostly siltstone and sandstone, with a thick weathered accumulation layer on the surface. b. The clastic rocks on the right bank of Tongzhuang River are developed in Triassic and Jurassic strata, and along the slope, siltstone and sandstone are mainly distributed. c. The clastic rocks on the left bank of Qinggan River are also developed in Triassic and Jurassic strata, and along the slope, sandstone, siltstone and mudstone are the main lithologies.

[0081] It can be understood that this implementation obtains the first distribution situation corresponding to the first target characteristic element when the geological environmental factor is topography and the second distribution situation corresponding to the first target characteristic element when the geological environmental factor is geological structure in the area to be identified, so as to take the area where the first distribution situation and the second distribution situation are both concentrated as the prone area of ​​new bedding rock landslide. Then, by obtaining the third distribution situation corresponding to the first target characteristic element when the geological environmental factor is slope structure in the prone area, and the fourth distribution situation corresponding to the first target characteristic element when the geological environmental factor is stratum lithology, the area where the third distribution situation and the fourth distribution situation are both concentrated in the prone area is taken as the hidden danger section of new bedding rock landslide. Then, all characteristic elements corresponding to each geological environmental factor corresponding to each rock mass in the hidden danger section are obtained and matched with each first target characteristic element of the same geological environmental factor to obtain the total number, so as to determine the rock mass with a total number greater than the preset number threshold as the hidden danger point. In this way, based on geological environmental factors, the area to be identified is reduced to the prone area, the prone area is reduced to the hidden danger section, and the hidden danger section is reduced to the hidden danger point, so as to realize the identification of the hidden danger of new bedding rock landslide in a progressive way, taking into account both the identification efficiency and the identification accuracy, so as to improve the effect of early warning and prevention of landslide disasters.

[0082] Preferably, obtaining all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified includes: dividing the rock mass into multiple rock faces, and determining at least one geological environmental factor corresponding to each rock face. Obtaining all characteristic elements corresponding to at least one geological environmental factor corresponding to each rock face of each rock mass in the area to be identified.

[0083] In this embodiment, the rock mass can be regarded as a "six-face rock body" developed in a natural slope, that is, the rock mass has six rock faces, such as the surface, bottom, front edge, rear edge and both sides. Because the boundary restrictions on each rock face of the rock mass are different, for example, the anti-slip at the bottom, the resistance at the front edge, the tensile resistance at the rear edge, and the shear resistance at the boundaries on both sides. And although the surface of the rock mass will not directly restrict the sliding of the rock mass, its corresponding topography also affects whether the rock mass will slide. Therefore, according to the different rock faces of the rock mass, the geological environmental factors corresponding to each rock face are determined, so that the rock mass can be identified from the two aspects of the restrictions and influences when the rock mass is about to slide, and the hidden dangers of new bedding rock landslides, that is, hidden danger points, can be more accurately identified.

[0084] For example, the rock mass consists of six faces. The geological environmental factors corresponding to the surface are mainly topography. The geological environmental factors corresponding to the bottom are mainly slope structure, stratum lithology and geological structure. The geological environmental factors corresponding to the front edge are mainly topography. The geological environmental factors corresponding to the rear edge are mainly topography and geological structure. The geological environmental factors corresponding to both sides are mainly topography and geological structure.

[0085] Preferably, dividing the rock mass into a plurality of rock faces and determining at least one geological environment factor corresponding to each rock face comprises: dividing the rock mass into a plurality of rock faces. Based on each rock face, performing a search operation in a preset data table to find at least one geological environment factor corresponding to each rock face; wherein the preset data table stores the correspondence between the rock faces and the geological environment factors.

[0086] In this way, the geological environmental factors corresponding to each rock surface of the rock mass are determined by looking up the table, so as to obtain relevant characteristic elements according to the geological environmental factors corresponding to each rock surface.

[0087] In some embodiments, the rock mass is regarded as a hexahedron, and each face of the hexahedron is six rock faces of the rock mass, also called six types of rock faces. Combined with Table 4, Table 4 is a fourth data table. Table 4 shows the corresponding relationship between rock faces and geological environmental factors, as shown below.

[0088] Table 4

[0089] rock face Geological environmental factors surface Topography bottom Slope structure, lithology and geological formations Leading edge Topography Trailing Edge Topography and geological structure Both sides Topography and geological structure

[0090] Preferably, for each rock mass, all characteristic elements of each geological environmental factor corresponding to the rock mass are matched with each first target characteristic element of the same geological environmental factor, and a first number of characteristic elements in each geological environmental factor that successfully match with the first target characteristic element is determined, including: for each rock mass, all characteristic elements corresponding to at least one geological environmental factor corresponding to the current rock surface of the rock mass are matched with each first target characteristic element of the same geological environmental factor, and a second number of characteristic elements in each geological environmental factor of the current rock surface that successfully match with the first target characteristic element is determined. For each rock mass, the total number of the second numbers is taken as the first number.

[0091] Each rock face of the rock mass has specific geological environmental factors. The characteristic elements corresponding to the specific geological environmental factors of each rock face are obtained and matched with the first target characteristic elements of the same geological environmental factors. When the match is successful, it means that there are characteristic elements in the rock mass that may cause landslides, that is, the rock mass boundary restriction is weak. In this way, by determining the number of successful matches of each rock mass, the first number of characteristic elements in the rock mass that may cause landslides is determined. Thus, the degree of rock mass boundary restriction is determined. It can be understood that the larger the first number, the smaller the degree of rock mass boundary restriction, and the more likely landslides will occur.

[0092] For example, when the current rock surface of the rock mass is the rear edge, the geological environmental factors include topography and geological structure. Among them, when the rock surface is the rear edge, the characteristic element when the geological environmental factor is topography is the broken line terrain; the characteristic element when the geological environmental factor is the geological structure is the regional fold sharp turn zone and the rock formation attitude mutation zone. Based on the analysis of the historical characteristic elements of multiple landslides that have occurred in the area to be identified, it is determined that the first target characteristic element when the geological environmental factor is topography includes broken line terrain, monocline terrain and front edge facing the sky. The first target characteristic element when the geological environmental factor is geological structure includes regional fault zone and regional fold sharp turn zone. When the rock surface is the rear edge, the characteristic element (broken line terrain) corresponding to the geological environmental factor being topography is matched with the target characteristic element of the same geological environmental factor (broken line terrain, monocline terrain and front edge facing the sky), and the number of successful matches is 1. The geological environmental factor is a characteristic element corresponding to the geological structure (regional fold abrupt turn zone and rock formation occurrence mutation zone) and the target characteristic element of the same geological environmental factor (regional fault zone and regional fold abrupt turn zone), and the number of successful matches is 1. Then the second number of successful matches of the rock mass based on the front rock surface is 2. The second number of successful matches of the six surfaces of the rock mass is calculated in sequence and summed to obtain the first number.

[0093] Furthermore, all characteristic elements corresponding to at least one geological environmental factor corresponding to the current rock surface of the rock mass are matched with each first target characteristic element of the same geological environmental factor, and the second number of characteristic elements in each geological environmental factor of the current rock surface that successfully match with the first target characteristic element is determined, including: determining the geological environmental factor corresponding to each rock surface as the target geological environmental factor. Obtaining various historical characteristic elements pointed to by each rock surface in multiple landslides that have occurred based on the corresponding target geological environmental factor, and determining the various historical characteristic elements pointed to by the target geological environmental factor corresponding to each rock surface. The historical characteristic element with an occurrence frequency greater than a preset frequency threshold in the same target geological environmental factor in each rock surface is used as the second target characteristic element. All characteristic elements corresponding to at least one target geological environmental factor corresponding to the current rock surface of the rock mass are matched with each second target characteristic element of the target geological environmental factor corresponding to the same rock surface, and the second number of characteristic elements in each target geological environmental factor of the current rock surface that successfully match with the second target characteristic element is determined.

[0094] In this way, the historical characteristic elements pointed to by the target geological environmental factors corresponding to each rock surface are grouped based on the rock surface, and the historical characteristic elements with a frequency greater than the preset frequency threshold in the same target geological environmental factors in each rock surface are used as the second target characteristic elements. The second target characteristic element is the characteristic element that may cause the landslide. Then, the characteristic elements pointed to by the target geological environmental factors corresponding to each rock surface of the rock mass are matched with the second target characteristic elements pointed to by the target geological environmental factors corresponding to the same rock surface, so as to determine the characteristic elements that may cause the landslide in each rock surface of the rock mass. In this way, the total number of characteristic elements that may cause landslides in the rock mass, that is, the total number, can be determined. In this way, the degree of rock mass boundary restriction is determined.

[0095] For example, when the rock surface is the rear edge, the target geological environmental factors include topography and geological structure. Based on the analysis of the historical characteristic elements of multiple landslides that have occurred in the area to be identified, it is determined that when the rock surface of the rock mass is the rear edge, the second target characteristic element corresponding to the target geological environmental factor topography includes broken line terrain, monocline terrain and front edge facing the sky; the second target characteristic element corresponding to the target geological environmental factor geological structure includes regional fault zone and regional fold sharp turn zone. When the current rock surface of the rock mass is the rear edge, the corresponding characteristic element when the target geological environmental factor is topography is broken line terrain, and the corresponding characteristic element when the target geological environmental factor is geological structure is regional fold sharp turn zone. Then, when the current rock surface of the rock mass is the rear edge, the characteristic element corresponding to the topography (broken line terrain) of the geological environmental factor is the topography is matched with the characteristic elements (broken line terrain, monocline terrain and front edge facing the sky) corresponding to the same target geological environmental factor (topography) of the same rock surface, and the number of successful matches is 1. And, the characteristic element (regional fold abrupt turn zone) corresponding to the geological environment factor geological structure is matched with the characteristic element (regional fault zone and regional fold abrupt turn zone) corresponding to the same target geological environment factor (geological structure) of the same rock surface, and the number of successful matches is 1. Then, when the current rock surface is the rear edge, the second number of successful matches is 2.

[0096] In some embodiments, combined with Table 5, Table 5 is a fifth data table. Table 5 shows the corresponding relationship between the rock surface and the target geological environment factor, and the second target characteristic element pointed to by the target geological environment factor.

[0097] Table 5

[0098]

[0099] In some embodiments, in combination Figure 4 As shown, Figure 4A schematic diagram of the distribution of potential hazards is provided. Detailed on-site investigations are conducted on potential hazards within the Three Gorges Reservoir area, and relatively detailed on-site investigations are carried out on potential hazards that may cause new bedding rock landslides. Field verification is carried out, focusing on the boundary restrictions of the forward slope in space, such as front edge resistance, rear edge tension resistance, shear on both sides, and bottom anti-sliding, and the impact of long-term reservoir water on the development of slope joints and fissures and their correlation with the initial deformation development process of the slope.

[0100] As shown in Table 6, Table 6 is the sixth data table, which shows the corresponding relationship between the hidden danger point and various geological environmental factors. The "geological environmental factors" in this embodiment include topography, geological structure, slope structure, slippery strata, and lithology; for ease of understanding, in this embodiment, the geological environmental factor of stratum lithology is actually split into slippery strata and lithology, that is, when the slippery stratum and lithology are satisfied at the same time, it means that the hidden danger point satisfies the geological environmental factor of stratum lithology. It can be understood that since this embodiment is an on-site investigation of the hidden danger point in the Three Gorges Reservoir area, the reservoir water will also affect the stability of the hidden danger point. Therefore, in Table 6, the reservoir water effect and the initial deformation of the slope are also regarded as geological environmental factors, so as to show the influence of the long-term effect of the reservoir water on the development of slope joints and fissures and its correlation with the initial deformation development process of the slope. The "satisfied geological environmental factors" in this embodiment are characteristic elements that can match the first target characteristic elements in the geological environmental factors in the hidden danger point.

[0101] Table 6

[0102]

[0103]

[0104] As shown in Table 6, when the number of geological environmental factors satisfied by the hazard point is greater, it indicates that the boundary restriction capacity of the hazard point is weaker and it is more prone to landslides than other hazard points.

[0105] Preferably, a method for identifying new landslide hazards also includes: issuing an early warning reminder based on the hazard point. In this way, when the total number of characteristic elements corresponding to the rock mass is greater than the preset number threshold, it means that the rock mass has a large number of characteristic elements that may cause landslides, that is, it is prone to landslide hazards. Therefore, the rock mass is regarded as a hazard point, and an early warning reminder is issued so that the staff can conduct on-site inspections and verifications on the hazard point and make relevant early warning and prevention measures.

[0106] Combination Figure 5As shown, this embodiment provides a new landslide hazard identification system 100. The system includes: a first acquisition module 101, a target module 102, a second acquisition module 103, a matching module 104 and a determination module 105. Among them, the first acquisition module is used to obtain the occurrence frequency of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs; the occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environmental factor within a preset time period before the landslide occurs. The target module is used to take the historical characteristic element of the same geological environmental factor whose occurrence frequency is greater than the preset frequency threshold as the first target characteristic element. The second acquisition module is used to obtain all characteristic elements of each geological environmental factor corresponding to each rock body in the area to be identified. The matching module is used to match all characteristic elements of each geological environmental factor corresponding to the rock body with each first target characteristic element of the same geological environmental factor for each rock body, and determine the first number of successful matches between the characteristic elements in each geological environmental factor and the first target characteristic element. The determination module is used to obtain the total number of the first quantity corresponding to each rock mass. If the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

[0107] A new landslide hazard identification system of this embodiment is adopted. By obtaining the occurrence frequency of different historical characteristic elements of the same geological environmental factors in multiple landslides that have occurred in the area to be identified before the landslide occurs, the historical characteristic elements of the same geological environmental factors with an occurrence frequency greater than the preset frequency threshold are used as the first target characteristic elements, so that the same characteristic elements between multiple landslides that have occurred in the area to be identified can be determined, that is, the first target characteristic elements are characteristic elements that may cause landslides. Then all characteristic elements of each geological environmental factor corresponding to each rock body in the area to be identified are obtained. For each rock body, all characteristic elements corresponding to each geological environmental factor of the rock body are matched with each first target characteristic element of the same geological environmental factor, and the first number of characteristic elements in each geological environmental factor that successfully match the first target characteristic element is determined, so as to determine the number of characteristic elements that may cause landslides in each rock body. Then the total number of each rock body is compared with the preset number threshold, and the rock body greater than the preset number threshold is determined as the target rock body. That is, the number of characteristic elements that may cause landslides in the target rock body is large, which is very likely to cause landslides in the rock body. Therefore, the target rock mass is identified as a potential hazard point, namely, the potential hazard of new bedding rock landslide.

[0108] In this way, by analyzing the characteristic elements of multiple landslides that have occurred in the identified area, the first target characteristic elements that may cause landslides are determined. Then the characteristic elements of the rock mass are matched with the first target characteristic elements to determine the number of first target characteristic elements that may cause landslides in the rock mass. When there are a large number of characteristic elements that may cause landslides in the rock mass, it means that when the rock mass is about to slide, the boundary restrictions it is subject to are weak, that is, the probability of landslides in the rock mass is greater, and there is a greater landslide hazard. In this way, the hazard points or new bedding rock landslide hazards can be identified more accurately, so as to improve the effect of early warning and prevention of landslide disasters.

[0109] Preferably, the types of geological environmental factors include topography, geological structure, slope structure and stratum lithology.

[0110] Preferably, the second acquisition module includes a first acquisition unit, a prone area unit, and a second acquisition unit. The first acquisition unit is used to acquire the first distribution situation corresponding to the first target characteristic element in the area to be identified when the geological environmental factor is topography, and the second distribution situation corresponding to the first target characteristic element when the geological environmental factor is geological structure; wherein the distribution situation includes concentrated distribution and sparse distribution. The prone area unit is used to take the area where both the first distribution situation and the second distribution situation are concentrated as a prone area. The second acquisition unit is used to acquire all characteristic elements of each geological environmental factor corresponding to each rock mass in the prone area.

[0111] Preferably, the second acquisition unit includes a first acquisition subunit, a hidden danger section subunit, and a second acquisition subunit. The first acquisition subunit is used to obtain the third distribution situation corresponding to the first target characteristic element in the prone area when the geological environmental factor is a slope structure, and the fourth distribution situation corresponding to the first target characteristic element when the geological environmental factor is stratum lithology. The hidden danger section subunit is used to take the area where the third distribution situation and the fourth distribution situation are both concentrated as the hidden danger section. The second acquisition subunit is used to obtain all characteristic elements of each geological environmental factor corresponding to each rock mass in the hidden danger section.

[0112] Preferably, the second acquisition module further includes a geological environment factor unit and a third acquisition unit. The geological environment factor unit is used to divide the rock mass into multiple rock faces and determine at least one geological environment factor corresponding to each rock face. The third acquisition unit is used to obtain all characteristic elements corresponding to at least one geological environment factor corresponding to each rock face of each rock mass in the area to be identified.

[0113] Preferably, the geological environment factor unit is specifically used to divide the rock mass into multiple rock surfaces; based on each rock surface, a search operation is performed from a preset data table to find out at least one geological environment factor corresponding to each rock surface; wherein the preset data table stores the correspondence between the rock surface and the geological environment factor.

[0114] Preferably, the matching module includes a matching unit and a quantity unit. The matching unit is used to match all characteristic elements corresponding to at least one geological environmental factor corresponding to the current rock surface of the rock body with each first target characteristic element of the same geological environmental factor for each rock body, and determine the second number of characteristic elements in each geological environmental factor of the current rock surface that successfully match the first target characteristic element. The quantity unit is used to take the total number of the second number as the first number for each rock body.

[0115] A computing device according to an embodiment of the present invention includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, some or all steps of the above-mentioned method for identifying new landslide hazards are implemented.

[0116] Among them, the computing device can be a computer, and correspondingly, its program is computer software. The above-mentioned parameters and steps in a computing device of the present invention can refer to the parameters and steps in an embodiment of a method for identifying new landslide hazards shown above, and will not be repeated here.

[0117] In an embodiment of the present invention, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed, the steps of the above-mentioned method for identifying new landslide hazards are executed.

[0118] The computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0119] The technical solution of this embodiment can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method of this embodiment. The aforementioned computer-readable storage medium may be a non-transitory computer-readable storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient computer-readable storage medium.

[0120] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code. Computer-readable storage media can be, for example, but not limited to - electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above.

[0121] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0122] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for identifying new landslide hazards, characterized in that: include: Obtaining the occurrence frequencies of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs; the occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environmental factor within a preset time period before the landslide occurs; The historical characteristic elements with a frequency greater than a preset frequency threshold in the same geological environmental factors are taken as the first target characteristic elements; Acquire all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified; For each of the rock masses, all characteristic elements of each geological environmental factor corresponding to the rock mass are matched with each of the first target characteristic elements of the same geological environmental factor, and a first number of characteristic elements in each geological environmental factor that are successfully matched with the first target characteristic elements is determined; The total number of the first quantity corresponding to each of the rock masses is obtained. If the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

2. The method according to claim 1, characterized in that The types of geological environmental factors include topography, geological structure, slope structure and stratum lithology.

3. The method according to claim 2, characterized in that The step of obtaining all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified includes: Obtaining, in the area to be identified, a first distribution situation corresponding to a first target characteristic element when the geological environment factor is the topography and a second distribution situation corresponding to the first target characteristic element when the geological environment factor is the geological structure; The area where both the first distribution situation and the second distribution situation are concentrated is regarded as a high-risk area; All characteristic elements of each geological environmental factor corresponding to each rock mass in the prone area are obtained.

4. The method according to claim 3, characterized in that The step of obtaining all characteristic elements of each geological environmental factor corresponding to each rock mass in the prone area includes: Obtaining, in the prone area, a third distribution situation corresponding to the first target characteristic element when the geological environment factor is the slope structure, and a fourth distribution situation corresponding to the first target characteristic element when the geological environment factor is the stratum lithology; The area where both the third distribution situation and the fourth distribution situation are concentrated is regarded as a potential hazard section; All characteristic elements of each geological environmental factor corresponding to each rock mass in the potential hazard section are obtained.

5. The method according to claim 1, characterized in that The step of obtaining all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified includes: Dividing the rock mass into a plurality of rock faces, and determining at least one geological environment factor corresponding to each of the rock faces; All characteristic elements corresponding to at least one geological environmental factor corresponding to each rock surface of each rock mass in the area to be identified are obtained.

6. The method according to claim 5, characterized in that The step of dividing the rock mass into a plurality of rock faces and determining at least one geological environment factor corresponding to each of the rock faces comprises: dividing the rock mass into a plurality of rock faces; Based on each of the rock faces, a search operation is performed in a preset data table to find out at least one geological environment factor corresponding to each of the rock faces; wherein the preset data table stores the corresponding relationship between the rock faces and the geological environment factors.

7. The method according to claim 5, characterized in that For each of the rock masses, matching all characteristic elements of each geological environmental factor corresponding to the rock mass with each of the first target characteristic elements of the same geological environmental factor, and determining a first number of characteristic elements in each geological environmental factor that successfully match the first target characteristic elements, comprises: For each of the rock masses, all characteristic elements corresponding to at least one geological environmental factor corresponding to the current rock surface of the rock mass are matched with each of the first target characteristic elements of the same geological environmental factor, and a second number of characteristic elements in each geological environmental factor of the current rock surface that are successfully matched with the first target characteristic elements is determined; For each of the rock masses, the total number of the second numbers is taken as the first number.

8. A new landslide hazard identification system, characterized in that: include: The first acquisition module is used to obtain the occurrence frequency of different historical characteristic elements of the same geological environmental factor in multiple landslides that have occurred in the area to be identified before the landslide occurs; the occurrence frequency represents the number of occurrences of each historical characteristic element of the same geological environmental factor within a preset time period before the landslide occurs; A target module, used to take the historical characteristic elements with a frequency greater than a preset frequency threshold in the same geological environmental factors as the first target characteristic elements; The second acquisition module is used to acquire all characteristic elements of each geological environmental factor corresponding to each rock mass in the area to be identified; A matching module is used to match, for each of the rock masses, all characteristic elements of each geological environmental factor corresponding to the rock mass with each of the first target characteristic elements of the same geological environmental factor, and determine a first number of characteristic elements in each geological environmental factor that successfully match the first target characteristic elements; The determination module is used to obtain the total number of the first quantity corresponding to each rock mass. If the total number is greater than a preset number threshold, the rock mass is a target rock mass, and the target rock mass is determined as a hidden danger point.

9. A computing device comprising a memory, a processor, and a program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the steps of a method for identifying new landslide hazards as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the steps of a method for identifying new landslide hazards as described in any one of claims 1 to 7.

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