Debris flow hidden danger influence weight determination method and system

By using a debris flow hazard element information collection device and a machine learning model, the impact weight of debris flow hazards is determined, which solves the problems of insufficient dynamic adaptation capability and low data processing efficiency in existing technologies. It realizes the accurate determination of the impact weight of debris flow hazards and the fusion of multi-scale features, thereby improving the accuracy and adaptability of debris flow disaster risk assessment.

CN121836081APending Publication Date: 2026-04-10SICHUAN GEOLOGICAL ENVIRONMENT SURVEY & RES CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN GEOLOGICAL ENVIRONMENT SURVEY & RES CENT
Filing Date
2025-11-28
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing methods for determining the impact weight of debris flow hazards suffer from insufficient dynamic adaptability, low data processing efficiency, and weak multi-scale feature fusion, resulting in a low degree of matching between the assessment results and actual disaster risks, making it difficult to meet the accurate assessment needs under complex geological environments and dynamic disaster scenarios.

Method used

Data is collected by a debris flow hazard information collection device, and machine learning models are used to identify the focus of the target hazards. Based on the annotation coefficients and the relationship between three-dimensional coordinate vectors, the key data volume and area are determined, so as to accurately determine the impact weight of debris flow hazards.

Benefits of technology

It improves the accuracy and adaptability of determining the impact weight of debris flow hazards, enables efficient data processing and multi-scale feature fusion in complex geological environments, and enhances the pertinence and effectiveness of disaster risk assessment.

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Abstract

The invention discloses a debris flow hidden danger influence weight determination method and system, and the method comprises the steps: carrying out the focusing of a hidden danger in the to-be-processed debris flow hidden danger element information according to the position of the hidden danger in the to-be-processed debris flow hidden danger element information, and the annotation coefficient of a debris flow hidden danger element information collection device of the to-be-processed debris flow hidden danger element information; determining the key data volume of the target item in the debris flow hidden danger factor information needing to be processed, and finally, according to the hidden danger focus corresponding to the target item in the debris flow hidden danger factor information needing to be processed and the corresponding key data volume, determining the target item in the debris flow hidden danger factor information needing to be processed. And determining a key area corresponding to a target item in the debris flow hidden danger factor information needing to be processed, and determining the key area as a hidden danger influence weight result. According to the embodiment of the invention, the key area of the target item can be determined according to the comment coefficient of the debris flow hidden danger factor information collection device, so that the accuracy of hidden danger influence weight determination is improved.
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Description

Technical Field

[0001] This disclosure relates to the technical field of determining the impact weight of debris flow hazards, and in particular to a method and system for determining the impact weight of debris flow hazards. Background Technology

[0002] Debris flows are typical sudden geological disasters in mountainous areas. Their intensity, impact range, and severity directly depend on the supply status of the debris source, including its material composition, reserves, spatial distribution, and stability. Accurately identifying this debris source information is a fundamental prerequisite for understanding the formation mechanism of debris flows, conducting disaster risk assessments, and formulating scientific prevention and control measures. It plays a crucial supporting role in improving the foresight, targeting, and effectiveness of debris flow disaster prevention and control.

[0003] With the rapid iteration and widespread application of technologies such as remote sensing, UAV aerial surveying, ground-penetrating radar, and ground sensor networks, debris flow source investigation has gradually shifted from the traditional ground-based manual survey mode to a modern technological approach of multi-source data fusion analysis. This transformation has enabled the large-scale collection of attribute data related to debris flow sources, such as topography, stratigraphy, vegetation cover, precipitation distribution, and soil moisture content, forming massive multi-dimensional, multi-scale source information datasets.

[0004] However, current technologies for determining the impact weights of debris flow hazards and identifying material sources still face many prominent bottlenecks, making it difficult to meet the accurate assessment needs under complex geological environments and dynamic disaster scenarios: First, the dynamic adaptability is insufficient. Existing methods are mostly based on fixed models and parameter settings, making it difficult to dynamically adjust according to differences in geological conditions, climate characteristics, etc., in different regions, resulting in weak pertinence and adaptability in weight determination. Second, the data processing efficiency is low. Faced with massive amounts of multi-source heterogeneous data, there is a lack of efficient cleaning, screening, and feature extraction mechanisms, making it susceptible to noise interference and affecting the effective mining of key information. Third, the multi-scale feature fusion is weak. It fails to fully integrate the influencing factors at different scales, such as microscopic material source attributes, mesoscopic topographic conditions, and macroscopic regional environment, resulting in a low degree of matching between the assessment results of hazard impact weights and actual disaster risks.

[0005] Therefore, how to overcome the above-mentioned technical challenges and construct a method for determining the impact weight of debris flow hazards that can dynamically adapt to complex scenarios, efficiently process multi-source data, and deeply integrate multi-scale features, so as to accurately determine the key areas and impact weights of debris flow hazards, has become a core issue that urgently needs to be addressed in the field of debris flow disaster prevention and control. It is also a key technical support for promoting the transformation of disaster risk assessment technology from "fixed mode" to "dynamic intelligence". Summary of the Invention

[0006] To address the technical problems existing in related technologies, this disclosure provides a method and system for determining the impact weight of debris flow hazards.

[0007] A method for determining the impact weight of debris flow hazards includes: Information on debris flow hazard elements that need to be addressed is obtained, wherein the information on debris flow hazard elements that need to be addressed is collected by a debris flow hazard element information collection device; Identify the target hazard focus among the debris flow hazard elements information that require processing; Based on the annotation coefficient corresponding to the debris flow hazard element information collection device, determine the switching relationship between the character position in the debris flow hazard element information that needs to be processed and the three-dimensional vector in the three-dimensional coordinate vector. Based on the switching relationship and the pre-set attribute coefficients, the first data volume area corresponding to the target item in the debris flow hazard element information that needs to be processed is determined; wherein, the pre-set attribute coefficients are numerically evaluated based on the numerical evaluation standard of three-dimensional coordinate vectors. Based on the first data volume region, a second data volume region corresponding to the target item is determined; wherein, the numerical evaluation dimensions of the first data volume region and the second data volume region are different; The first data volume area and the second data volume area are determined as the key data volume corresponding to the target item in the debris flow hazard element information that needs to be processed; Based on the hazard focus and corresponding key data volume of the target item in the debris flow hazard element information that needs to be processed, the key area corresponding to the target item in the debris flow hazard element information that needs to be processed is determined, and the hazard impact weight result is determined.

[0008] In one independently implemented embodiment, determining the first data volume region corresponding to the target item in the debris flow hazard element information to be processed, based on the switching relationship and pre-set attribute coefficients, includes: Based on the installation data of the debris flow hazard element information collection device and the preset attribute coefficients, the first three-dimensional coordinate sub-vector of the hazard is determined in the three-dimensional coordinate vector; wherein, the first three-dimensional coordinate sub-vector has the same numerical evaluation dimension as the first data volume region. Based on the switching relationship, the character position corresponding to the hidden danger focus, and the first three-dimensional coordinate sub-vector, the second three-dimensional coordinate sub-vector of the hidden danger focus in the three-dimensional coordinate vector is determined; wherein, the numerical evaluation dimension of the second three-dimensional coordinate sub-vector is different from that of the first three-dimensional coordinate sub-vector; Based on the first three-dimensional coordinate sub-vector and the pre-set attribute coefficients, determine the two maximum values ​​of the key area corresponding to the hidden danger focus, and the three-dimensional vector in the three-dimensional coordinate vector; wherein, the three-dimensional vectors of the two maximum values ​​of the key area have different values ​​in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector; Based on the three-dimensional vector of the two maximum values ​​of the key region, the second three-dimensional coordinate sub-vector, and the switching relationship, determine the character positions corresponding to the two maximum values ​​of the key region; Based on the difference between the two maximum values ​​of the key region in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector, the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed is determined; wherein, the difference value is determined based on the character position corresponding to the two maximum values ​​of the key region.

[0009] In one independently implemented embodiment, determining the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed, based on the difference between the two maximum values ​​of the key region in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector, includes: Determine the character positions corresponding to the two maximum values ​​of the key region, and the difference value in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector. If the difference value is greater than a preset difference value, the difference value is determined as the first data volume area corresponding to the target item in the debris flow hazard element information that needs to be processed.

[0010] In one independently implemented embodiment, the first data volume region and the second data volume region are respectively one of the data scale and the data quantity of the key data volume, and have a pre-defined proportional relationship. Determining the second data volume region corresponding to the target item based on the first data volume region includes: Based on the first data volume region and the pre-set proportional relationship, the second data volume region of the target item is determined.

[0011] In one independently implemented embodiment, obtaining the debris flow hazard element information that needs to be processed includes: obtaining at least two debris flow hazard element information that need to be processed, each with a target item, through at least two debris flow hazard element information collection devices; The step of determining the key data volume of the target item in the debris flow hazard element information that needs to be treated, based on the location of the hazard focused in the debris flow hazard element information that needs to be treated and the annotation coefficient of the debris flow hazard element information collection device, includes: Based on the location of the hazard focus in the at least two debris flow hazard element information that need to be processed, and the annotation coefficient of the at least two debris flow hazard element information collection devices, determine the key data volume corresponding to the target item in each debris flow hazard element information that needs to be processed.

[0012] In one independently implemented embodiment, the method for determining the impact weight of debris flow hazards further includes: Based on the weighting results of the potential risks, the secondary characteristics corresponding to the target issue are determined; Provided that the secondary characteristics corresponding to the target item meet the pre-set conditions, a prompt message is generated.

[0013] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects.

[0014] This application discloses a method and system for determining the impact weight of debris flow hazards. The method involves obtaining debris flow hazard element information that needs to be processed, then determining the hazard focus corresponding to the target item within the debris flow hazard element information. Based on the position of the hazard focus within the debris flow hazard element information and the annotation coefficient of the debris flow hazard element information collection device, the key data volume of the target item within the debris flow hazard element information needs to be determined. Finally, based on the hazard focus corresponding to the target item and the corresponding key data volume, the key area corresponding to the target item within the debris flow hazard element information needs to be determined, and this is identified as the hazard impact weight result. This embodiment of the application can determine the key area of ​​the target item based on the annotation coefficient of the debris flow hazard element information collection device, thereby improving the accuracy of hazard impact weight determination.

[0015] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this disclosure. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the specification, serve to explain the principles of this application.

[0017] Figure 1 A flowchart illustrating a method for determining the impact weight of debris flow hazards, provided in an embodiment of this application; Detailed Implementation

[0018] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0019] Based on the above, please refer to the following: Figure 1 This is a flowchart illustrating a method for determining the impact weight of debris flow hazards provided in an embodiment of this application. Further, a method for determining the impact weight of debris flow hazards may specifically include the content described in steps S100-S400.

[0020] Step S100: Obtain debris flow hazard element information that needs to be processed. This debris flow hazard element information is collected by a debris flow hazard element information collection device. For example, the electronic device can be wired or wirelessly connected to the debris flow hazard element information collection device, allowing the electronic device to obtain the debris flow hazard element information that needs to be processed through the device. In one embodiment, the debris flow hazard element information that needs to be processed is the raw debris flow hazard element information collected by the debris flow hazard element information collection device.

[0021] Step S200: Determine the hazard focus corresponding to the target item in the debris flow hazard element information that needs to be addressed. This enables the trained machine learning model to identify the target item in the debris flow hazard element information that needs to be addressed.

[0022] Step S300: Based on the location of the hazard focus within the debris flow hazard element information requiring processing and the annotation coefficient of the debris flow hazard element information collection device, determine the key data quantity of the target item within the debris flow hazard element information requiring processing. For example, if the annotation coefficient of the debris flow hazard element information collection device is known, it can be directly obtained. However, if the debris flow hazard element information collection device is initially set in the shooting area, its annotation coefficient can be determined through its pose information. For example, the annotation coefficient can be represented as an external parameter of the debris flow hazard element information collection device, and the pose information may include information such as the shooting direction of the debris flow hazard element information collection device. The key data quantity can be represented based on the character position difference of the character position system.

[0023] According to the flowchart of the method for determining the impact weight of debris flow hazards provided in the embodiments of this disclosure, in one possible implementation, step S300 may include: Step S310: Based on the character position corresponding to the hidden danger focus and the annotation coefficient of the debris flow hidden danger element information collection device, determine the first data volume area corresponding to the target item in the debris flow hidden danger element information that needs to be processed.

[0024] In one possible implementation, step S310 may include: given that the annotation coefficient of the debris flow hazard element information collection device is unknown, the annotation coefficient corresponding to the debris flow hazard element information collection device may be determined first based on the device orientation. Then, based on the annotation coefficient corresponding to the debris flow hazard element information collection device, the switching relationship between the character position in the debris flow hazard element information to be processed and the three-dimensional vector in the three-dimensional coordinate vector may be determined.

[0025] Then, based on the switching relationship and the pre-set attribute coefficients, the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed can be determined. The pre-set attribute coefficients are numerically evaluated based on a three-dimensional coordinate vector numerical evaluation standard, and may include at least one of body data volume and key data volume.

[0026] In one possible implementation, determining the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed, based on the switching relationship and pre-set attribute coefficients, may include: Based on the installation data of the debris flow hazard element information collection device and the pre-set attribute coefficients, the first three-dimensional coordinate sub-vector of the hazard is determined within the three-dimensional coordinate vector. The first three-dimensional coordinate sub-vector has the same numerical evaluation dimension as the first data volume region.

[0027] Then, based on the switching relationship, the character position corresponding to the hazard focus, and the first three-dimensional coordinate sub-vector, a second three-dimensional coordinate sub-vector is determined within the three-dimensional coordinate vector. The second three-dimensional coordinate sub-vector has a different numerical evaluation dimension than the first three-dimensional coordinate sub-vector.

[0028] Based on the difference between the two maximum values ​​of the key region in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector, the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed is determined.

[0029] In one example, determining the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed, based on the difference between the two maximum values ​​of the key region in the first three-dimensional coordinate sub-vector numerical evaluation dimension, may include: determining the difference between the character positions corresponding to the two maximum values ​​of the key region in the first three-dimensional coordinate sub-vector numerical evaluation dimension, and then, provided that the difference is greater than a pre-set difference, determining the difference as the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed.

[0030] Step S320: Determine the second data volume region corresponding to the target item based on the first data volume region. The first data volume region and the second data volume region have different numerical evaluation dimensions. For example, if the key region is a rectangle, the first data volume region can be a data quantity region or a data scale region, and the second data volume region can be a data scale region or a data quantity region. In one possible implementation, the first data volume region and the second data volume region can each be one of the data scale and data quantity of the key data volume, and can have a pre-defined proportional relationship. Based on this, step S320 may include: determining the second data volume region of the target item based on the first data volume region and the pre-defined proportional relationship. For example: if the second data volume region is represented as ΔvA, and the ratio of the second data volume region to the first data volume region is two-thirds, then the following proportional relationship can be determined, and it is determined to be the pre-defined proportional relationship mentioned above: Step S330: The first data volume area and the second data volume area are determined as the key data volume corresponding to the target item in the debris flow hazard element information that needs to be processed.

[0031] In one possible implementation, step S100 may include: obtaining at least two debris flow hazard element information pieces with target items that require processing through at least two debris flow hazard element information collection devices. Then, an electronic device determines the amount of key data corresponding to the target item in each debris flow hazard element information piece that requires processing, based on the location of the hazard focus within the at least two debris flow hazard element information pieces requiring processing and the annotation coefficients of the at least two debris flow hazard element information collection devices.

[0032] Step S400: Based on the hazard focus and corresponding key data volume of the target item in the debris flow hazard element information that needs to be processed, determine the key area corresponding to the target item in the debris flow hazard element information that needs to be processed, and determine it as the hazard impact weight result.

[0033] In one possible implementation, the method for determining the impact weight of debris flow hazards may further include: determining the secondary characteristics corresponding to the target issue based on the hazard impact weight results; and then generating a prompt message if the secondary characteristics corresponding to the target issue meet pre-set conditions.

[0034] It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for determining the impact weight of debris flow hazards, characterized in that, include: Information on debris flow hazard elements that need to be addressed is obtained, wherein the information on debris flow hazard elements that need to be addressed is collected by a debris flow hazard element information collection device; Identify the target hazard focus among the debris flow hazard elements information that require processing; Based on the annotation coefficient corresponding to the debris flow hazard element information collection device, determine the switching relationship between the character position in the debris flow hazard element information that needs to be processed and the three-dimensional vector in the three-dimensional coordinate vector. Based on the switching relationship and the pre-set attribute coefficients, the first data volume area corresponding to the target item in the debris flow hazard element information that needs to be processed is determined; wherein, the pre-set attribute coefficients are numerically evaluated based on the numerical evaluation standard of three-dimensional coordinate vectors. Based on the first data volume region, a second data volume region corresponding to the target item is determined; wherein, the numerical evaluation dimensions of the first data volume region and the second data volume region are different; The first data volume area and the second data volume area are determined as the key data volume corresponding to the target item in the debris flow hazard element information that needs to be processed; Based on the hazard focus and corresponding key data volume of the target item in the debris flow hazard element information that needs to be processed, the key area corresponding to the target item in the debris flow hazard element information that needs to be processed is determined, and the hazard impact weight result is determined.

2. The method for determining the impact weight of debris flow hazards as described in claim 1, characterized in that, The step of determining the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed, based on the switching relationship and pre-set attribute coefficients, includes: Based on the installation data of the debris flow hazard element information collection device and the preset attribute coefficients, the first three-dimensional coordinate sub-vector of the hazard is determined in the three-dimensional coordinate vector; wherein, the first three-dimensional coordinate sub-vector has the same numerical evaluation dimension as the first data volume region. Based on the switching relationship, the character position corresponding to the hidden danger focus, and the first three-dimensional coordinate sub-vector, the second three-dimensional coordinate sub-vector of the hidden danger focus in the three-dimensional coordinate vector is determined; wherein, the numerical evaluation dimension of the second three-dimensional coordinate sub-vector is different from that of the first three-dimensional coordinate sub-vector; Based on the first three-dimensional coordinate sub-vector and the pre-set attribute coefficients, determine the two maximum values ​​of the key area corresponding to the hidden danger focus, and the three-dimensional vector in the three-dimensional coordinate vector; wherein, the three-dimensional vectors of the two maximum values ​​of the key area have different values ​​in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector; Based on the three-dimensional vector of the two maximum values ​​of the key region, the second three-dimensional coordinate sub-vector, and the switching relationship, determine the character positions corresponding to the two maximum values ​​of the key region; Based on the difference between the two maximum values ​​of the key region in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector, the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed is determined; wherein, the difference value is determined based on the character position corresponding to the two maximum values ​​of the key region.

3. The method for determining the impact weight of debris flow hazards as described in claim 2, characterized in that, The method of determining the first data volume region corresponding to the target item in the debris flow hazard element information that needs to be processed, based on the difference between the two maximum values ​​of the key region in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector, includes: Determine the character positions corresponding to the two maximum values ​​of the key region, and the difference value in the numerical evaluation dimension of the first three-dimensional coordinate sub-vector. If the difference value is greater than a preset difference value, the difference value is determined as the first data volume area corresponding to the target item in the debris flow hazard element information that needs to be processed.

4. The method for determining the impact weight of debris flow hazards as described in any one of claims 1 to 3, characterized in that, The first data volume region and the second data volume region are respectively one of the data scale and data quantity of the key data volume, and have a pre-set proportional relationship. Determining the second data volume region corresponding to the target item based on the first data volume region includes: Based on the first data volume region and the pre-set proportional relationship, the second data volume region of the target item is determined.

5. The method for determining the impact weight of debris flow hazards as described in any one of claims 1 to 3, characterized in that, The process of obtaining debris flow hazard element information that needs to be processed includes: obtaining at least two debris flow hazard element information that need to be processed, each with a target item, through at least two debris flow hazard element information collection devices. The step of determining the key data volume of the target item in the debris flow hazard element information that needs to be treated, based on the location of the hazard focused in the debris flow hazard element information that needs to be treated and the annotation coefficient of the debris flow hazard element information collection device, includes: Based on the location of the hazard focus in the at least two debris flow hazard element information that need to be processed, and the annotation coefficient of the at least two debris flow hazard element information collection devices, determine the key data quantity corresponding to the target item in each debris flow hazard element information that needs to be processed.

6. The method for determining the impact weight of debris flow hazards as described in any one of claims 1 to 3, characterized in that, The method for determining the impact weight of debris flow hazards also includes: Based on the weighting results of the potential risks, the secondary characteristics corresponding to the target issue are determined; Provided that the secondary characteristics corresponding to the target item meet the pre-set conditions, a prompt message is generated.

7. A system for determining the impact weight of debris flow hazards, characterized in that, It includes a processor and a memory that communicate with each other, the processor being used to read a computer program from the memory and execute it to implement the method of any one of claims 1-6.