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CN-121999581-A - Surface mine slope landslide disaster early warning method based on building information model

CN121999581ACN 121999581 ACN121999581 ACN 121999581ACN-121999581-A

Abstract

The invention relates to the technical field of data analysis, in particular to an open pit mine slope landslide hazard early warning method based on a building information model. The method comprises the steps of S1, S2 and S3, wherein in the step S1, three-dimensional topographic data of a side slope and soil stress of each point position are collected in real time to construct a side slope building model, rainfall intensity is synchronously collected and corresponding collection time is associated, and the side slope building model, the rainfall intensity and the collection time are integrated into historical rainfall data. Aiming at the problems that the annual rainfall is large, the rainfall frequency is high, the real development trend of gaps is difficult to reflect by instantaneous parameters, evaluation is inaccurate due to actual calculation deviation of rock-soil permeability coefficients, a dedicated model is constructed by dividing two types of data, dynamic accumulation and deduction are carried out, the complete evolution process of a side slope is accurately restored, the misjudgment and omission of a single model are avoided, hidden accumulated deformation precursors are captured, subjective parameter interference is avoided, fluctuation rainfall working conditions are adapted, and the comprehensiveness, the accuracy and the reliability of early warning are greatly improved.

Inventors

  • CHEN PENGHUI
  • HUANG LEI
  • LAI WEIPING
  • LI JIANHUA
  • ZHANG CONG
  • CHEN HUI
  • CHEN XIAOJIE
  • LI YINGUANG
  • Xiao jiangnan

Assignees

  • 新疆金宝矿业有限责任公司

Dates

Publication Date
20260508
Application Date
20260326

Claims (10)

  1. 1. The surface mine slope landslide hazard early warning method based on the building information model is characterized by comprising the following steps of: S1, acquiring three-dimensional terrain data of a side slope and soil stress of each point in real time to construct a side slope building model, synchronously acquiring rainfall intensity and associating corresponding acquisition time, and integrating the side slope building model, the rainfall intensity and the acquisition time into historical rainfall data; S2, dividing the acquisition time into a plurality of rainfall periods according to the change speed of rainfall intensity, storing the rainfall periods in association with average rainfall intensity in the rainfall periods, dividing historical rainfall data into gap development data and gap change data according to the change speed of three-dimensional topographic data, analyzing the corresponding rainfall periods when a slope building model changes along with the rainfall intensity from the gap development data based on a time sequence data analysis method to obtain a stable time relationship, analyzing the change rule of the slope building model under the influence of the rainfall intensity and the rainfall period to obtain a gap development relationship, dynamically accumulating the stable time relationship and the gap development relationship to construct a first model, analyzing the change time relationship and the gap development relationship through the gap change data in the same mode of constructing the first model, and dynamically accumulating to construct a second model, and dynamically accumulating the first model and the second model to obtain a final model; S3, acquiring preset predicted rainfall data, wherein the predicted rainfall data comprise the change of rainfall intensity along with time in the predicted rainfall time, processing the predicted rainfall data into a plurality of continuous rainfall time and average rainfall intensity related to the continuous rainfall time according to the change speed of the rainfall intensity in the predicted rainfall data, and controlling the dynamic accumulation process of the first model, the second model and the final model by the continuous rainfall time and the related average rainfall intensity on the basis of a slope building model before rainfall, and generating landslide early warning information according to the three-dimensional topographic data change of the slope building model in the dynamic accumulation process.
  2. 2. The surface mine slope landslide hazard pre-warning method based on the building information model is characterized in that in the step S1, collecting points of soil stress of each point are used as monitoring points, in the step S3, when a second model is dynamically accumulated according to gap change relation control, rainfall time periods associated with rainfall intensity are divided into a plurality of subsections, change of three-dimensional slope topography in different subsections is analyzed by combining the gap change relation, slope topography change directions are obtained, and all slope topography change directions in a final model are combined, so that the monitoring points are increased.
  3. 3. The method for early warning of landslide hazard of surface mine based on building information model as set forth in claim 2, wherein when the second model is obtained by dynamic accumulation, the difference between three-dimensional terrain data is analyzed, the terrain change area and the change volume of the slope building model are identified, and the soil stress collection depth of the monitoring point at the corresponding terrain change position is adjusted according to the terrain change volume.
  4. 4. The surface mine slope landslide hazard pre-warning method based on the building information model is characterized by comprising the following steps of S1, collecting soil stress with different depths at a monitoring point, mapping the soil stress with different depths to a slope building model space field in combination with the space position of the monitoring point in the slope building model to generate global continuous soil stress three-dimensional space distribution in the slope building model, S2, analyzing the soil stress space distribution and the soil stress change distribution from gap development data, acquiring slope deformation positions from the gap change data, and analyzing the relationship among the soil stress space distribution, the soil stress change distribution and the slope deformation positions in the slope building model as a slope deformation relationship through the time sequence relationship between the gap development data and the gap change data; And S3, when the dynamic accumulation process is controlled, soil stress space distribution and soil stress change distribution in the slope building model are obtained from the dynamic accumulation process of the first model, then the slope deformation position is obtained by combining the slope deformation relation as a reference position, the reference position is compared with the slope deformation position in the second model generated by the next accumulation, and the three-dimensional terrain data for generating landslide early warning information is adjusted according to the comparison result.
  5. 5. The method for early warning landslide hazard of surface mine based on building information model of claim 4, wherein three-dimensional topographic data of side slope before and after topographic change is obtained from adjacent two-time interval development data, and the relationship among three-dimensional topographic change process of side slope, the pre-topographic change side slope building model and the post-topographic change side slope building model is analyzed by combining the interval change data between adjacent two-time interval development data to obtain stress deformation relationship; And S3, when the dynamic accumulation process is controlled, extracting a slope building model before slope deformation from the first model according to the dynamic accumulation alternating relation between the first model and the second model, determining the slope building model after the slope deformation is terminated as a reference model by combining the slope three-dimensional terrain change process obtained from the gap change relation in the dynamic accumulation process of the second model and the stress deformation relation, acquiring the slope building model input to the first model at the next alternating stage from the final model dynamic accumulation process, comparing the slope building model with the reference model, and carrying out optimization adjustment on three-dimensional terrain data corresponding to landslide early warning information according to a comparison result.
  6. 6. The method for early warning of landslide hazard of surface mine based on building information model of claim 4, wherein in step S2, the soil stress variation in the vertical direction of the same monitoring point is combined with the soil stress spatial distribution variation to obtain the actual rainfall period corresponding to the actual rainfall intensity.
  7. 7. The method for early warning landslide hazard of surface mine based on building information model of claim 6, wherein if the last rainfall period is accumulated as the first model, the slope building model output by the first model is combined with the slope soil stress distribution and the soil stress change distribution acquired after the last rainfall period to acquire a reference position, and landslide early warning information is generated according to the acquired result of the reference position; If the last rainfall period is accumulated to be a second model, in the step S2, a slope building model output by the second model is combined with slope soil stress distribution acquired after the last rainfall period is finished to acquire a reference model, and landslide early warning information is generated according to the acquired result of the reference model; the last rainfall period includes a continuous rainfall period and an actual rainfall period.
  8. 8. The method for early warning of landslide hazard of surface mine based on building information model of claim 6, wherein in step S1, the obtained reference model is compared with the slope building model output in last continuous rainfall period, and monitoring points are added according to the comparison result.
  9. 9. The method for early warning landslide hazard of an open pit mine based on a building information model according to claim 7, wherein in the step S3, landslide risk levels are divided according to the reference position or the deviation degree of the reference model and the historical slope building model, and landslide early warning information with different early warning levels and different early warning ranges is correspondingly generated based on different risk levels.
  10. 10. The method for early warning of landslide hazard of surface mine based on building information model of claim 8, wherein after newly adding monitoring points, in step S2, based on real-time soil stress data of the newly added monitoring points, slope deformation relation and stress deformation relation are updated, and updated relation parameters are fed back to the first model and the second model to optimize the subsequent dynamic accumulation process.

Description

Surface mine slope landslide disaster early warning method based on building information model Technical Field The invention relates to the technical field of data analysis, in particular to an open pit mine slope landslide hazard early warning method based on a building information model. Background Open-pit mines are important and indispensable site topography for global mineral development, and mining continuity and safety are related to efficient development of mineral industries and life and property safety of operators. The slope is used as a key component of an open-air mine, stability is a core premise of normal production of mines, and geological disasters such as landslide, collapse and the like are easily caused by instability of the slope, so that equipment damage, production interruption, economic loss and casualties are caused, and the slope is a key link of safety production management of the open-air mine. The rock stratum gap (including joints, gaps and interlayer gaps) and the side slope stress have remarkable influence on the stability of the surface mine side slope, and the development degree directly determines the rock integrity, the anti-slip capability and the formation condition of a potential sliding surface, so that the rock stratum gap is one of core indexes for evaluating the stability of the side slope. According to the scheme of the document CN118132899A, rock-soil gap data and slope stress data of an open-pit mine slope are acquired through a sensor, a rock-soil permeability coefficient and a slope stress coefficient are obtained through processing calculation, and a mine slope stability index is further calculated based on the rock-soil permeability coefficient and the slope stress coefficient, so that the slope stability is judged, safety level assessment is carried out, and a certain technical support is provided for slope safety monitoring. However, when the rock-soil permeability coefficient is calculated by the scheme, the core depends on static parameters such as the rock-soil gap width, the depth, the opening angle and the like, and the complex working conditions of areas with larger annual rainfall and higher rainfall frequency are not adapted. In the areas with larger annual rainfall and higher rainfall frequency, continuous flushing and deep penetration of rainwater can quickly push gaps to widen and penetrate, so that the gaps are suddenly changed in width, depth and opening angle in a short time, instantaneous parameters acquired by a sensor are difficult to reflect real development trend of the gaps, meanwhile, the average flow rate is calculated to be deviated by filling the gaps by the rainwater, the average flow rate is calculated based on static hydraulic gradient, and severe fluctuation of hydraulic gradient caused by heavy rainfall can further aggravate the average flow rate distortion, so that the calculation result of rock-soil permeability coefficient is seriously deviated from actual permeability, and the safety evaluation result of the slope stability is inaccurate. Disclosure of Invention The invention provides a surface mine slope landslide hazard early warning method based on a building information model, which aims to solve the problems that in a region with larger annual rainfall and higher rainfall frequency, instantaneous parameters acquired by a sensor are difficult to reflect real development trend of gaps, so that the calculation result of a rock-soil permeability coefficient is seriously deviated from actual permeability, and the slope stability safety assessment result is inaccurate. In order to solve the technical problems, the application provides the following technical scheme: A surface mine slope landslide hazard early warning method based on a building information model comprises the following steps: S1, acquiring three-dimensional terrain data of a side slope and soil stress of each point in real time to construct a side slope building model, synchronously acquiring rainfall intensity and associating corresponding acquisition time, and integrating the side slope building model, the rainfall intensity and the acquisition time into historical rainfall data; S2, dividing the acquisition time into a plurality of rainfall periods according to the change speed of rainfall intensity, storing the rainfall periods in association with average rainfall intensity in the rainfall periods, dividing historical rainfall data into gap development data and gap change data according to the change speed of three-dimensional topographic data, analyzing the corresponding rainfall periods when a slope building model changes along with the rainfall intensity from the gap development data based on a time sequence data analysis method to obtain a stable time relationship, analyzing the change rule of the slope building model under the influence of the rainfall intensity and the rainfall period to obtain a gap development relationship, dynamically accumulatin