House building slope cutting geological disaster risk evaluation method

Abstract

The invention discloses a house building slope cutting geological disaster risk evaluation method, and particularly relates to the technical field of geological data processing. Comprising the steps of S01, building a house-building slope-cutting terrain three-dimensional model, S02, collecting house-building slope-cutting geological risk data, S03, monitoring house-building slope-cutting slope body cracks, S04, updating rainfall slope body geological risk data, S05, updating slope body rainfall disaster risks, S06, early warning house-building slope-cutting slope body crack risks, and S07, correcting slope-cutting slope body landslide risks. According to the method, through geological risk evaluation data, slope fracture risk evaluation indexes are calculated, slope fracture risk evaluation index deviation is calculated for a rainfall normal monitoring sub-region, and a geological disaster rainfall influence correction coefficient is calculated for a rainfall abnormal monitoring sub-region, so that geological disaster abnormal early warning is corrected, and buildings in a risk region are monitored; and the accuracy of geological disaster risk assessment is improved through a multi-factor comprehensive assessment mode.

Description

Technical Field

[0001] The present invention relates to the technical field of geological data processing, and more particularly to a method for assessing geological disaster risks in slope cutting for building construction. Background Art

[0002] With the growth of population and the acceleration of urbanization, available land resources are becoming increasingly scarce. In some mountainous and hilly areas, in order to meet housing needs, people often need to cut slopes to build houses. Slope cutting for house construction refers to the artificial excavation of natural hillsides to level the site or obtain construction space during the house construction process. This behavior may change the stability of the original terrain and may easily cause geological disasters if not handled properly.

[0003] In recent years, with the continuous development of related disciplines such as computer technology, surveying and mapping technology, and geological exploration technology, high-precision topographic surveying and mapping technology can more accurately obtain terrain information of the slope cutting area, and numerical simulation technology can more intuitively analyze the stability of the slope under different working conditions, thereby constructing a more accurate geological risk assessment model.

[0004] However, it still has some shortcomings in actual use. For example, the existing risk assessment methods for geological hazards caused by slope cutting during construction are mostly based on historical geological survey data, which makes it difficult to reflect the real-time changes of the slope after cutting. The existing risk identification of geological disasters caused by slope cutting for building construction is not applicable enough. Most evaluation models are based on one-time survey data, ignoring the real-time impact of rainfall dynamic factors, and are unable to construct a dynamic coupling model that triggers an early warning mechanism based on the coupling effect of rainfall and landslide. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for assessing geological disaster risks in slope cutting for building construction, which is used to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for assessing the risk of geological hazards in slope cutting for building construction, comprising the following steps: Step S01: Constructing a three-dimensional model of the terrain for building and slope cutting: This is used to establish a digital terrain model for the target slope cutting area and number the buildings in sequence in the digital terrain model.

[0007] Step S02: Collection of geological risk data for slope cutting during building construction: used to set a collection frequency for a preset time period and collect geological risk assessment data for each monitoring sub-area in the target slope cutting area.

[0008] Step S03: Slope crack monitoring for building and cutting slopes: The slope crack risk assessment index of each monitoring sub-area in the target slope cutting area is calculated through geological risk assessment data.

[0009] Step S04: Updating the geological risk data of rainfall slopes: used to screen out the monitoring sub-areas whose rainfall in a preset time period is greater than a preset rainfall amount, and collect the geological risk assessment update data of each monitoring sub-area.

[0010] Step S05: Updating the risk of rainfall disasters on slopes: Calculating the slope landslide risk assessment index of each rainfall anomaly monitoring sub-area in the target slope cutting area through the geological risk assessment update data.

[0011] Step S06: Slope crack risk warning for building and slope cutting: used to screen out monitoring sub-areas with normal rainfall at each data collection frequency within a preset time period, obtain the slope crack risk assessment index of the monitoring sub-areas with normal rainfall, calculate the slope crack risk assessment index deviation, compare it with the preset slope crack risk assessment index deviation, and monitor the crack expansion risk of each monitoring sub-area.

[0012] Step S07: Slope cutting landslide risk correction: used to calculate the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area based on the slope crack risk evaluation index and slope landslide risk evaluation index of each rainfall anomaly monitoring sub-area in the target slope cutting area, compare it with the preset geological disaster rainfall impact correction coefficient, and correct the geological disaster anomaly warning.

[0013] Preferably, the step S01: constructing a three-dimensional model of the slope-cutting terrain for building a house is specifically as follows: Step S11: acquiring point cloud data of the target slope cutting area through a UAV, supplementing the UAV blind area data with ground 3D laser scanning, and establishing a digital terrain model; Step S12: Divide the target slope cutting area into monitoring sub-areas according to an equal area division method, mark the monitoring sub-areas of the target slope cutting area as 1, 2, ...i, ...n in sequence, obtain the buildings in each monitoring sub-area of ​​the target slope cutting area, and mark the buildings as 1, 2, ...j, ...m in sequence.

[0014] Preferably, the step S02: collecting geological risk data for slope cutting during building construction is specifically as follows: The acquisition frequency is set for the preset time period, and the slope contact surface cohesion, crack displacement, and construction vibration velocity of each monitoring sub-area in the target slope cutting area are collected and marked as 、 、 , where i=1,2,...n, i represents the number of the i-th monitoring sub-area, and u=1,2,...q, u represents the number of the u-th acquisition frequency.

[0015] Preferably, the step S03: monitoring of cracks in slopes during building and cutting slopes is specifically as follows: Step S31: Preprocessing: According to the collected slope contact surface cohesion, crack displacement, and construction vibration velocity, the average value and standard deviation of the data in each monitoring sub-area are calculated respectively. 、 、 、 、 、 ; Standardization of slope contact surface cohesion: ,in, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the slope contact surface cohesion of the i-th monitoring sub-area at the u-th sampling frequency, It is expressed as the mean cohesion of the slope contact surface in the i-th monitoring sub-area, It is expressed as the standard deviation of the cohesion of the slope contact surface; Fracture displacement normalization: ,in, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the crack displacement of the i-th monitoring sub-area at the u-th acquisition frequency, Expressed as the mean fracture displacement of the ith monitoring sub-area, Expressed as the standard deviation of the fracture displacement; Standardization of construction vibration speed: ,in, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the construction vibration velocity of the i-th monitoring sub-area at the u-th acquisition frequency, It is expressed as the mean construction vibration velocity of the i-th monitoring sub-area, Expressed as the standard deviation of construction vibration velocity; Step S32: The slope crack risk assessment index is calculated using the following formula: in, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the u-1th sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the maximum displacement of the crack in the i-th monitoring sub-area, It is expressed as the maximum value of the mean value of the crack displacement, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, Expressed as the preset construction vibration speed, 、 、 are weight factors of slope contact surface cohesion, crack displacement, and construction vibration velocity, respectively, and + + =1.

[0016] Preferably, the step S04: updating the rainfall slope geological risk data is specifically as follows: The rainfall monitoring equipment arranged in each monitoring sub-area is used to obtain the rainfall data of each monitoring sub-area in the target slope cutting area at each sampling frequency. If the rainfall of a monitoring sub-area at a certain sampling frequency is greater than the preset rainfall value, it is marked as a rainfall abnormality monitoring sub-area. The rainfall, rainfall duration, and slope gradient of each rainfall abnormality monitoring sub-area in the target slope cutting area are collected and marked as 、 、 .

[0017] Preferably, the step S05: updating the slope rainfall disaster risk is specifically as follows: Step S51: Preprocessing: Normalization of rainfall: ,in, It is expressed as the normalized value of rainfall in the ith monitoring sub-area, It is expressed as the rainfall in the ith monitoring sub-area, Expressed as the maximum rainfall amount; Normalization of rainfall duration: ,in, It is expressed as the normalized value of rainfall duration in the ith monitoring sub-area, It is expressed as the duration of rainfall in the ith monitoring sub-area, Indicates the preset rainfall duration; Slope standardization: ,in, It is expressed as the normalized value of the slope of the i-th monitoring sub-area, It is represented as the slope of the i-th monitoring sub-area, It is expressed as the maximum value of the slope gradient. It is expressed as the minimum value of the slope; Step S51: The calculation formula of the slope landslide risk assessment index is: in, It is expressed as the slope landslide risk assessment index of the i-th monitoring sub-area, It is expressed as the normalized rainfall in the ith monitoring sub-area, It is expressed as the normalized rainfall duration of the ith monitoring sub-area, It is expressed as the normalized value of the slope gradient of the i-th monitoring sub-area.

[0018] Preferably, the step S06: early warning of the risk of slope cracks during building and slope cutting is specifically as follows: Step S61: Using rainfall monitoring equipment located in each monitoring sub-area, rainfall data for each monitoring sub-area in the target slope cutting area at each sampling frequency is obtained. If the rainfall for a particular monitoring sub-area at a particular sampling frequency is less than or equal to a preset rainfall value, the monitoring sub-area is marked as a normal rainfall monitoring sub-area. The number of normal rainfall monitoring sub-areas is counted and recorded as b. Step S62: Obtaining the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency , substitute into the formula , we can get the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, where q represents the total number of acquisition frequencies, It is expressed as the allowable difference between the slope crack risk assessment index of the monitoring sub-area with normal rainfall and the mean value of the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency; Step S63: Obtain the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, and compare it with the preset slope crack risk assessment index deviation. If the slope crack risk assessment index deviation of a monitoring sub-area with normal rainfall is greater than the preset slope crack risk assessment index deviation, it indicates that there is an abnormal risk of crack expansion in the monitoring sub-area. The building numbers of the areas with abnormal risk of crack expansion are extracted, and risk response measures are immediately initiated. Otherwise, it indicates that there is no abnormal risk of crack expansion in the monitoring sub-area, and monitoring is continued.

[0019] Preferably, the step S07: correcting the landslide risk of the slope cut is specifically as follows: Step S71: The calculation formula of the geological disaster rainfall impact correction coefficient is: in, It is expressed as the correction coefficient of the geological disaster rainfall impact in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the u-1th sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is represented as the slope landslide risk assessment index of the i-th monitoring sub-area, T is the data collection time of the acquisition frequency, and q is the total number of acquisition frequency; Step S72: Obtain the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area in the target slope cutting area, and compare it with the preset geological disaster rainfall impact correction coefficient. If the geological disaster rainfall impact correction coefficient of a rainfall anomaly monitoring sub-area is greater than the preset geological disaster rainfall impact correction coefficient, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area triggers the early warning mechanism, extracts the building number of the risk area, and immediately initiates the risk response measures. Otherwise, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area does not trigger the early warning mechanism, and continuous monitoring is performed.

[0020] Technical effects and advantages of the present invention: The present invention provides a method for assessing geological disaster risks in slope cutting for building construction. The method comprises the following steps: setting a collection frequency for a preset time period, collecting the slope contact surface cohesion, crack displacement, and construction vibration velocity of each monitoring sub-area in the target slope cutting area, calculating the slope crack risk assessment index of each monitoring sub-area in the target slope cutting area, screening out the monitoring sub-area with normal rainfall at each data collection frequency within the preset time period, obtaining the slope crack risk assessment index of the monitoring sub-area with normal rainfall, calculating the slope crack risk assessment index deviation, and comparing the deviation with the preset slope crack risk assessment index deviation. If the slope crack risk assessment index deviation of a monitoring sub-area with normal rainfall is greater than the preset slope crack risk assessment index deviation, it indicates that there is an abnormal risk of crack expansion in the monitoring sub-area. The building number of the area with abnormal crack expansion is extracted, and risk response measures are immediately initiated. Otherwise, it indicates that there is no abnormal risk of crack expansion in the monitoring sub-area. Continuous monitoring is then carried out to achieve comprehensive monitoring and real-time assessment of the slope status of each monitoring sub-area in the slope cutting area, quantify the crack risk monitoring index, and directly associate the abnormal area with the specific building to achieve timely risk warning. The present invention provides a method for assessing the risk of geological disasters in slope cutting for building construction. The method comprises the following steps: screening out each monitoring sub-area whose rainfall in a preset time period is greater than a preset rainfall amount, collecting rainfall, rainfall duration, and slope gradient of each rainfall anomaly monitoring sub-area in the target slope cutting area, calculating the slope landslide risk assessment index of each rainfall anomaly monitoring sub-area in the target slope cutting area, and calculating the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area through the slope fissure risk assessment index and the slope landslide risk assessment index of each rainfall anomaly monitoring sub-area in the target slope cutting area. The correction coefficient is compared with the preset geological disaster rainfall impact correction coefficient. If a certain rainfall anomaly monitoring sub-area is If the correction coefficient of the rainfall impact of geological hazards in the sub-area is greater than the preset correction coefficient of the rainfall impact of geological hazards, it indicates that the coupling effect of rainfall and landslide in the monitored sub-area triggers the early warning mechanism, the building numbers of the risk areas are extracted, and risk response measures are immediately initiated. Otherwise, it indicates that the coupling effect of rainfall and landslide in the monitored sub-area does not trigger the early warning mechanism, and continuous monitoring is carried out. Focus on and analyze the sub-areas with abnormal rainfall, and calculate the correction coefficient of the rainfall impact of geological hazards. This multi-factor comprehensive evaluation method can more comprehensively and objectively reflect the complex relationship between rainfall and slope stability, and improve the accuracy of geological hazard risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The figure is a flow chart of a method for risk assessment of geological hazards in slope cutting for building construction according to the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides a method for assessing the risk of geological hazards in slope cutting for building construction, comprising the following steps: The step S01: constructing a three-dimensional model of the slope-cutting terrain for building: is used to establish a digital terrain model for the target slope-cutting area, and number the buildings in sequence in the digital terrain model.

[0024] In a possible design, the step S01: constructing a three-dimensional model of the slope-cutting terrain for building a house is specifically as follows: Step S11: acquiring point cloud data of the target slope cutting area through a UAV, supplementing the UAV blind area data with ground 3D laser scanning, and establishing a digital terrain model; Step S12: Divide the target slope cutting area into monitoring sub-areas according to an equal area division method, mark the monitoring sub-areas of the target slope cutting area as 1, 2, ...i, ...n in sequence, obtain the buildings in each monitoring sub-area of ​​the target slope cutting area, and mark the buildings as 1, 2, ...j, ...m in sequence.

[0025] The step S02: collecting geological risk data for building and slope cutting: is used to set a collection frequency for a preset time period and collect geological risk assessment data for each monitoring sub-area in the target slope cutting area.

[0026] In a possible design, the step S02: collecting geological risk data for building and slope cutting is specifically as follows: The acquisition frequency is set for the preset time period, and the slope contact surface cohesion, crack displacement, and construction vibration velocity of each monitoring sub-area in the target slope cutting area are collected and marked as 、 、 , where i=1,2,...n, i represents the number of the i-th monitoring sub-area, and u=1,2,...q, u represents the number of the u-th acquisition frequency.

[0027] The step S03: monitoring of slope cracks during building and slope cutting: is used to receive data transmitted in the step of collecting geological risk data for building and slope cutting, and calculate the slope crack risk evaluation index of each monitoring sub-area in the target slope cutting area through the geological risk evaluation data.

[0028] In a possible design, the step S03: monitoring of slope cracks during building and slope cutting is specifically as follows: Step S31: Preprocessing: According to the collected slope contact surface cohesion, crack displacement, and construction vibration velocity, the average value and standard deviation of the data in each monitoring sub-area are calculated respectively. 、 、 、 、 、 ; Standardization of slope contact surface cohesion: ,in, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the slope contact surface cohesion of the i-th monitoring sub-area at the u-th sampling frequency, It is expressed as the mean cohesion of the slope contact surface in the i-th monitoring sub-area, It is expressed as the standard deviation of the cohesion of the slope contact surface; Fracture displacement normalization: ,in, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the crack displacement of the i-th monitoring sub-area at the u-th acquisition frequency, Expressed as the mean fracture displacement of the ith monitoring sub-area, Expressed as the standard deviation of the fracture displacement; Standardization of construction vibration speed: ,in, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the construction vibration velocity of the i-th monitoring sub-area at the u-th acquisition frequency, It is expressed as the mean construction vibration velocity of the i-th monitoring sub-area, Expressed as the standard deviation of construction vibration velocity; Step S32: The slope crack risk assessment index is calculated using the following formula: in, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the u-1th sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the maximum displacement of the crack in the i-th monitoring sub-area, It is expressed as the maximum value of the mean value of the crack displacement, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, Expressed as the preset construction vibration speed, 、 、 are weight factors of slope contact surface cohesion, crack displacement, and construction vibration velocity, respectively, and + + =1.

[0029] The step S04: updating the geological risk data of rainfall slopes: is used to screen out each monitoring sub-area whose rainfall in a preset time period is greater than a preset rainfall amount, and collect geological risk assessment update data of each monitoring sub-area.

[0030] In a possible design, the step S04: updating the rainfall slope geological risk data is specifically as follows: The rainfall monitoring equipment arranged in each monitoring sub-area is used to obtain the rainfall data of each monitoring sub-area in the target slope cutting area at each sampling frequency. If the rainfall of a monitoring sub-area at a certain sampling frequency is greater than the preset rainfall value, it is marked as a rainfall abnormality monitoring sub-area. The rainfall, rainfall duration, and slope gradient of each rainfall abnormality monitoring sub-area in the target slope cutting area are collected and marked as 、 、 .

[0031] The step S05: updating the risk of rainfall disasters on slopes: is used to receive the data collected in the step of updating the geological risk data of rainfall slopes, and calculate the slope landslide risk evaluation index of each rainfall anomaly monitoring sub-area in the target slope cutting area through the geological risk evaluation update data.

[0032] In a possible design, the step S05: updating the slope rainfall disaster risk is specifically as follows: Step S51: Preprocessing: Normalization of rainfall: ,in, It is expressed as the normalized value of rainfall in the ith monitoring sub-area, It is expressed as the rainfall in the ith monitoring sub-area, Expressed as the maximum rainfall amount; Normalization of rainfall duration: ,in, It is expressed as the normalized value of rainfall duration in the ith monitoring sub-area, It is expressed as the duration of rainfall in the ith monitoring sub-area, Indicates the preset rainfall duration; Slope standardization: ,in, It is expressed as the normalized value of the slope of the i-th monitoring sub-area, It is represented as the slope of the i-th monitoring sub-area, It is expressed as the maximum value of the slope gradient. It is expressed as the minimum value of the slope; Step S51: The calculation formula of the slope landslide risk assessment index is: in, It is expressed as the slope landslide risk assessment index of the i-th monitoring sub-area, It is expressed as the normalized rainfall in the ith monitoring sub-area, It is expressed as the normalized rainfall duration of the ith monitoring sub-area, It is expressed as the normalized value of the slope gradient of the i-th monitoring sub-area.

[0033] The step S06: early warning of slope crack risk for building and slope cutting: is used to screen out monitoring sub-areas with normal rainfall at each data collection frequency within a preset time period, obtain the slope crack risk assessment index of the monitoring sub-areas with normal rainfall, calculate the slope crack risk assessment index deviation, compare it with the preset slope crack risk assessment index deviation, and monitor the crack expansion risk of each monitoring sub-area.

[0034] In a possible design, the step S06: early warning of the risk of slope cracks during building and slope cutting is specifically as follows: Step S61: Using rainfall monitoring equipment located in each monitoring sub-area, rainfall data for each monitoring sub-area in the target slope cutting area at each sampling frequency is obtained. If the rainfall for a particular monitoring sub-area at a particular sampling frequency is less than or equal to a preset rainfall value, the monitoring sub-area is marked as a normal rainfall monitoring sub-area. The number of normal rainfall monitoring sub-areas is counted and recorded as b. Step S62: Obtaining the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency , substitute into the formula , we can get the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, where q represents the total number of acquisition frequencies, It is expressed as the allowable difference between the slope crack risk assessment index of the monitoring sub-area with normal rainfall and the mean value of the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency; Step S63: Obtain the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, and compare it with the preset slope crack risk assessment index deviation. If the slope crack risk assessment index deviation of a monitoring sub-area with normal rainfall is greater than the preset slope crack risk assessment index deviation, it indicates that there is an abnormal risk of crack expansion in the monitoring sub-area. The building numbers of the areas with abnormal risk of crack expansion are extracted, and risk response measures are immediately initiated. Otherwise, it indicates that there is no abnormal risk of crack expansion in the monitoring sub-area, and monitoring is continued.

[0035] The step S07: slope cutting landslide risk correction: is used to calculate the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area according to the slope crack risk evaluation index and the slope landslide risk evaluation index of each rainfall anomaly monitoring sub-area in the target slope cutting area, compare it with the preset geological disaster rainfall impact correction coefficient, and correct the geological disaster anomaly warning.

[0036] In a possible design, the step S07: correcting the landslide risk of the cut slope is specifically as follows: Step S71: The calculation formula of the geological disaster rainfall impact correction coefficient is: in, It is expressed as the correction coefficient of the geological disaster rainfall impact in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the u-1th sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is represented as the slope landslide risk assessment index of the i-th monitoring sub-area, T is the data collection time of the acquisition frequency, and q is the total number of acquisition frequency; Step S72: Obtain the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area in the target slope cutting area, and compare it with the preset geological disaster rainfall impact correction coefficient. If the geological disaster rainfall impact correction coefficient of a rainfall anomaly monitoring sub-area is greater than the preset geological disaster rainfall impact correction coefficient, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area triggers the early warning mechanism, extracts the building number of the risk area, and immediately initiates the risk response measures. Otherwise, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area does not trigger the early warning mechanism, and continuous monitoring is performed.

[0037] In this embodiment, it should be specifically explained that the present invention collects the slope contact surface cohesion, crack displacement, and construction vibration speed of each monitoring sub-area in the target slope cutting area by setting a collection frequency for a preset time period, calculates the slope crack risk assessment index of each monitoring sub-area in the target slope cutting area, screens out the monitoring sub-areas with normal rainfall at each data collection frequency within the preset time period, obtains the slope crack risk assessment index of the monitoring sub-area with normal rainfall, calculates the slope crack risk assessment index deviation, and compares it with the preset slope crack risk assessment index deviation. If the slope crack risk assessment index deviation of a monitoring sub-area with normal rainfall is greater than the preset slope crack risk assessment index deviation, it indicates that there is an abnormal risk of crack expansion in the monitoring sub-area, extracts the building number of the area with abnormal risk of crack expansion, and immediately initiates risk response measures. Otherwise, it indicates that there is no abnormal risk of crack expansion in the monitoring sub-area, and continuous monitoring is performed to achieve comprehensive monitoring and real-time assessment of the slope status of each monitoring sub-area in the slope cutting area, quantify the crack risk monitoring index, and directly associate the abnormal area with the specific building to achieve timely risk warning. The present invention selects monitoring sub-areas with rainfall greater than a preset rainfall amount within a preset time period, collects rainfall, rainfall duration, and slope gradient for each rainfall anomaly monitoring sub-area in the target slope cutting area, calculates a slope landslide risk assessment index for each rainfall anomaly monitoring sub-area in the target slope cutting area, and calculates a geological hazard rainfall impact correction coefficient for each rainfall anomaly monitoring sub-area based on the slope fissure risk assessment index and the slope landslide risk assessment index for each rainfall anomaly monitoring sub-area in the target slope cutting area. The coefficient is then compared with the preset geological hazard rainfall impact correction coefficient. If the geological hazard rainfall impact correction coefficient for a rainfall anomaly monitoring sub-area is greater than the preset geological hazard rainfall impact correction coefficient, it indicates that the rainfall-landslide coupling effect in the monitoring sub-area has triggered an early warning mechanism. The building numbers of the risk areas are extracted, and risk response measures are immediately initiated. Otherwise, it indicates that the rainfall-landslide coupling effect in the monitoring sub-area has not triggered the early warning mechanism. Continuous monitoring is then initiated, with specific attention and analysis focused on the rainfall anomaly monitoring sub-area, and the geological hazard rainfall impact correction coefficient is calculated. This multi-factor comprehensive assessment method can more comprehensively and objectively reflect the complex relationship between rainfall and slope stability, thereby improving the accuracy of geological hazard risk assessment.

[0038] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for assessing the risk of geological hazards in slope cutting for building construction, characterized in that: The following steps are involved: Step S01: Constructing a three-dimensional model of the slope-cutting terrain for building: This is used to establish a digital terrain model for the target slope-cutting area and number the buildings in the digital terrain model in sequence; Step S02: Collection of geological risk data for slope cutting during house construction: used to set a collection frequency for a preset time period and collect geological risk assessment data for each monitoring sub-area in the target slope cutting area; Step S03: Slope crack monitoring for building and cutting slopes: Calculate the slope crack risk assessment index of each monitoring sub-area in the target slope cutting area through geological risk assessment data; Step S04: Updating the geological risk data of rainfall slopes: screening out the monitoring sub-areas with rainfall greater than a preset rainfall amount within a preset time period, and collecting geological risk assessment update data for each monitoring sub-area; Step S05: Updating the risk of rainfall disasters on slopes: Calculating the slope landslide risk assessment index of each rainfall anomaly monitoring sub-area in the target slope cutting area by updating the geological risk assessment data; Step S06: Slope crack risk warning for building and cutting slopes: This is used to screen out monitoring sub-areas with normal rainfall at each data collection frequency within a preset time period, obtain the slope crack risk assessment index of the monitoring sub-areas with normal rainfall, calculate the slope crack risk assessment index deviation, compare it with the preset slope crack risk assessment index deviation, and monitor the crack expansion risk of each monitoring sub-area; Step S07: Slope cutting landslide risk correction: used to calculate the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area based on the slope crack risk evaluation index and slope landslide risk evaluation index of each rainfall anomaly monitoring sub-area in the target slope cutting area, compare it with the preset geological disaster rainfall impact correction coefficient, and correct the geological disaster anomaly warning.

2. The method for assessing geological hazards during slope cutting during building construction according to claim 1, wherein: The step S01: constructing a three-dimensional model of the slope-cutting terrain for building a house is specifically as follows: Step S11: acquiring point cloud data of the target slope cutting area through a UAV, supplementing the UAV blind area data with ground 3D laser scanning, and establishing a digital terrain model; Step S12: Divide the target slope cutting area into monitoring sub-areas according to an equal area division method, mark the monitoring sub-areas of the target slope cutting area as 1, 2, ...i, ...n in sequence, obtain the buildings in each monitoring sub-area of ​​the target slope cutting area, and mark the buildings as 1, 2, ...j, ...m in sequence.

3. The method for assessing geological hazards during slope cutting during building construction according to claim 1, wherein: The step S02: collecting geological risk data for building and slope cutting is specifically as follows: The acquisition frequency is set for the preset time period, and the slope contact surface cohesion, crack displacement, and construction vibration velocity of each monitoring sub-area in the target slope cutting area are collected and marked as 、 、 , where i=1,2,...n, i represents the number of the i-th monitoring sub-area, and u=1,2,...q, u represents the number of the u-th acquisition frequency.

4. The method for assessing geological hazards during slope cutting during building construction according to claim 1, wherein: The step S03: monitoring of cracks in slopes during building and cutting slopes is specifically as follows: Step S31: Preprocessing: According to the collected slope contact surface cohesion, crack displacement, and construction vibration velocity, the average value and standard deviation of the data in each monitoring sub-area are calculated respectively. 、 、 、 、 、 ; Standardization of slope contact surface cohesion: ,in, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the slope contact surface cohesion of the i-th monitoring sub-area at the u-th sampling frequency, It is expressed as the mean cohesion of the slope contact surface in the i-th monitoring sub-area, It is expressed as the standard deviation of the cohesion of the slope contact surface; Fracture displacement normalization: ,in, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the crack displacement of the i-th monitoring sub-area at the u-th acquisition frequency, Expressed as the mean fracture displacement of the ith monitoring sub-area, Expressed as the standard deviation of the fracture displacement; Standardization of construction vibration speed: ,in, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the construction vibration velocity of the i-th monitoring sub-area at the u-th acquisition frequency, It is expressed as the mean construction vibration velocity of the i-th monitoring sub-area, Expressed as the standard deviation of construction vibration velocity; Step S32: The slope crack risk assessment index is calculated using the following formula: in, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the uth sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the slope contact surface cohesion at the u-1th sampling frequency in the i-th monitoring sub-area, It is expressed as the normalized value of the crack displacement at the uth acquisition frequency in the i-th monitoring sub-area, It is expressed as the maximum displacement of the crack in the i-th monitoring sub-area, It is expressed as the maximum value of the mean value of the crack displacement, It is expressed as the normalized value of the construction vibration velocity at the uth acquisition frequency in the i-th monitoring sub-area, Expressed as the preset construction vibration speed, 、 、 are weight factors of slope contact surface cohesion, crack displacement, and construction vibration velocity, respectively, and + + =1.

5. The method for assessing geological hazards during slope cutting during building construction according to claim 1, wherein: The step S04: updating the rainfall slope geological risk data is specifically as follows: The rainfall monitoring equipment arranged in each monitoring sub-area is used to obtain the rainfall data of each monitoring sub-area in the target slope cutting area at each sampling frequency. If the rainfall of a monitoring sub-area at a certain sampling frequency is greater than the preset rainfall value, it is marked as a rainfall abnormality monitoring sub-area. The rainfall, rainfall duration, and slope gradient of each rainfall abnormality monitoring sub-area in the target slope cutting area are collected and marked as 、 、 .

6. The method for assessing geological hazards during slope cutting during building construction according to claim 1, wherein: The step S05: updating the slope rainfall disaster risk is specifically as follows: Step S51: Preprocessing: Normalization of rainfall: ,in, It is expressed as the normalized value of rainfall in the ith monitoring sub-area, It is expressed as the rainfall in the ith monitoring sub-area, Expressed as the maximum rainfall amount; Normalization of rainfall duration: ,in, It is expressed as the normalized value of rainfall duration in the ith monitoring sub-area, It is expressed as the duration of rainfall in the ith monitoring sub-area, Indicates the preset rainfall duration; Slope standardization: ,in, It is expressed as the normalized value of the slope of the i-th monitoring sub-area, It is represented as the slope of the i-th monitoring sub-area, It is expressed as the maximum value of the slope gradient. It is expressed as the minimum value of the slope; Step S51: The calculation formula of the slope landslide risk assessment index is: in, It is expressed as the slope landslide risk assessment index of the i-th monitoring sub-area, It is expressed as the normalized rainfall in the ith monitoring sub-area, It is expressed as the normalized rainfall duration of the ith monitoring sub-area, It is expressed as the normalized value of the slope gradient of the i-th monitoring sub-area.

7. The method for assessing geological hazards associated with slope cutting during building construction according to claim 1, wherein: The step S06: early warning of the risk of slope cracks during building and slope cutting is specifically as follows: Step S61: Using rainfall monitoring equipment located in each monitoring sub-area, rainfall data for each monitoring sub-area in the target slope cutting area at each sampling frequency is obtained. If the rainfall for a particular monitoring sub-area at a particular sampling frequency is less than or equal to a preset rainfall value, the monitoring sub-area is marked as a normal rainfall monitoring sub-area. The number of normal rainfall monitoring sub-areas is counted and recorded as b. Step S62: Obtaining the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency , substitute into the formula , we can get the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, where q represents the total number of acquisition frequencies, It is expressed as the allowable difference between the slope crack risk assessment index of the monitoring sub-area with normal rainfall and the mean value of the slope crack risk assessment index of the monitoring sub-area with normal rainfall at each data collection frequency; Step S63: Obtain the slope crack risk assessment index deviation of the monitoring sub-area with normal rainfall, and compare it with the preset slope crack risk assessment index deviation. If the slope crack risk assessment index deviation of a monitoring sub-area with normal rainfall is greater than the preset slope crack risk assessment index deviation, it indicates that there is an abnormal risk of crack expansion in the monitoring sub-area. The building numbers of the areas with abnormal risk of crack expansion are extracted, and risk response measures are immediately initiated. Otherwise, it indicates that there is no abnormal risk of crack expansion in the monitoring sub-area, and monitoring is continued.

8. The method for assessing geological hazards associated with slope cutting during building construction according to claim 1, wherein: The step S07: correcting the landslide risk of the slope cut is specifically as follows: Step S71: The calculation formula of the geological disaster rainfall impact correction coefficient is: in, It is expressed as the correction coefficient of the geological disaster rainfall impact in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the uth sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is expressed as the slope crack risk assessment index of the u-1th sampling frequency in the i-th rainfall anomaly monitoring sub-area, It is represented as the slope landslide risk assessment index of the i-th monitoring sub-area, T is the data collection time of the acquisition frequency, and q is the total number of acquisition frequency; Step S72: Obtain the geological disaster rainfall impact correction coefficient of each rainfall anomaly monitoring sub-area in the target slope cutting area, and compare it with the preset geological disaster rainfall impact correction coefficient. If the geological disaster rainfall impact correction coefficient of a rainfall anomaly monitoring sub-area is greater than the preset geological disaster rainfall impact correction coefficient, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area triggers the early warning mechanism, extracts the building number of the risk area, and immediately initiates the risk response measures. Otherwise, it indicates that the rainfall-landslide coupling effect of the monitoring sub-area does not trigger the early warning mechanism, and continuous monitoring is performed.

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