A geological logging method based on real-time data acquisition

Abstract

The invention relates to the technical field of geological cataloging and discloses a geological cataloging method based on real-time data collection. The geological cataloging method comprises the following steps: step 1, a data collection module composes natural geographical data into a geographical data set; step 2, a data collection module composes an environmental data set; step 3, whenever new data is added to the geographical data set or the environmental data set, the geological cataloging module determines whether potential factors for landslides appear in the geological environment of a target exploration area, updates and constructs a digital elevation model accordingly, and calculates and generates a mountain surface water catchment area, so that geological exploration is timely and effective; step 4, the geological cataloging module analyzes and generates a permeability data group and draws a permeability velocity time curve; step 5, the geological cataloging module determines the risk level of landslides in the target exploration area and generates disaster characteristics accordingly; step 6, the geological cataloging module generates a cataloging report and puts forward prevention and control project suggestions, so that the cataloging analysis and prevention are more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of geological logging, and in particular to a geological logging method based on real-time data acquisition. Background Art

[0002] Geological cataloging is a fundamental tool in geological research. It refers to the systematic and comprehensive description and recording of geological phenomena, encompassing all aspects of strata, rocks, minerals, fossils, and structures. Geological cataloging requires expertise in multiple fields, including stratigraphy, petrology, and mineralogy. Stratigraphy studies the formation, distribution, and evolution of strata; petrology focuses on the composition, structure, and texture of rocks, as well as their genesis; and mineralogy focuses on the composition, structure, properties, and distribution of minerals in nature. Geological cataloging is not only a tool for scientific research but also a treasure of human culture. Throughout Chinese history, ancient people's observations and records of geological phenomena date back thousands of years. For example, the descriptions of mountain and river landforms and mineral distribution in the Classic of Mountains and Seas, as well as the detailed records of rivers, lakes, springs, and other water bodies in the Water Classic, demonstrate the ancient Chinese's interest in and understanding of geological phenomena. These historic geological cataloging achievements have provided valuable geological information for future generations.

[0003] At present, the timeliness and effectiveness of traditional geological cataloging methods in investigating landslide phenomena are relatively poor. After collecting existing geological characteristic factors, the geological cataloging information cannot be updated in a timely manner, and it is impossible to study disaster-causing factors in combination with regional geological characteristics and put forward professional prevention and control engineering suggestions. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides a geological logging method based on real-time data collection, which has the advantages of timely and effective geological exploration, more comprehensive logging analysis and prevention, and solves the problems of poor exploration effectiveness and low accuracy of prevention and control recommendations of traditional geological logging methods.

[0006] (2) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solution: a geological logging method based on real-time data acquisition, comprising the following steps:

[0008] Step 1: Collect information on the target survey area's traffic location, meteorological and hydrological conditions, socioeconomic conditions, vegetation cover, topography, stratum lithology, geological structure, and human engineering activities, and upload it to the data acquisition module in real time via the network. The data acquisition module will compile the uploaded natural geographic data into a geographic dataset;

[0009] Step 2: Collect the topographic data of the target survey area over the years, and collect the landform slope data, surface water data, groundwater data and rock and soil distribution data of the target survey area, and then upload them to the data acquisition module in real time through the network. The data acquisition module will compile the uploaded geological environment data into an environmental data set;

[0010] Step 3: Whenever new data is added to the geographic dataset or environmental dataset, the geological cataloging module determines whether there are potential factors for landslides in the geological environment of the target exploration area, and updates the digital elevation model (DEM) of the target exploration area accordingly through ArcGIS software, and then calculates and generates the mountain surface water catchment area Hsmj;

[0011] Step 4: The geological catalog module is set with a fixed observation period GC, and extracts the geological environment data within the observation period GC from the environmental data set, analyzes and generates the permeability data group Stsj, and then draws it into a permeability coefficient time curve graph;

[0012] The calculation formula for the penetration data group Stsj is as follows:

[0013]

[0014] In the formula, Stsj represents the penetration data group, Q represents the observation period GC, single group In the permeability test data, the stable infiltration water volume of the rock and soil layer is l, which represents the single group in the observation period GC. In the penetration test data, the penetration depth of the rock and soil layer is F, which represents the penetration depth of the rock and soil layer in the observation period GC. Seepage test data: Seepage area of ​​the pilot pit, H k Indicates that within the observation period GC, a single group In the permeability test data, the capillary pressure head, Z, represents the observation period GC, single group The water layer height of the pilot pit in the permeability test data is Indicates that each group of GCs in the observation period is calculated in sequence. The permeability coefficient corresponding to the permeability test data is arranged in chronological order from early to late, and then plotted into a permeability coefficient history curve;

[0015] Step 5: The geological cataloging module sets a permeability threshold and compares the permeability data set Stsj with the permeability threshold to determine the risk of landslides in the target exploration area. The corresponding disaster feature Zhtz is generated to estimate the peak flow rate and landslide impact range within the target exploration area.

[0016] If the permeability coefficients of two adjacent groups in the permeability data group Stsj have exceeded the permeability threshold, it means that the risk of landslide in the target exploration area is high. The geological logging module analyzes and generates the disaster characteristic Zhtz based on the mountain surface water catchment area Hsmj. The calculation formula is as follows:

[0017]

[0018] In the formula, Zhtz represents the disaster characteristics, The runoff coefficient represents the ratio of rainfall in the target survey area to runoff. The runoff coefficient is a fixed constant in the disaster characteristic calculation formula. It represents the peak flow rate obtained by multiplying the mountain surface water catchment area by the runoff coefficient. Indicates that flood peak flow and vegetation cover conditions are calculated using ArcGIS software. geological structure Topographic data over the years and soil distribution data Substitute the digital elevation model (DEM) for fusion to estimate the affected area after a landslide occurs in the target survey area;

[0019] Step 6: The geological cataloging module combines the digital elevation model DEM, the mountain surface water catchment area Hsmj, the infiltration data group Stsj, the permeability coefficient duration curve and the disaster characteristics Zhtz to generate a cataloging report, and proposes prevention and control project suggestions based on the cataloging report.

[0020] Preferably, in step one, the traffic location includes national geodetic coordinates, city names and road names, the meteorological and hydrological conditions include temperature data, precipitation data, evaporation data, wind direction and speed data, humidity data, air pressure data, permafrost data and water system data, the socioeconomic conditions include administrative area data, the number of educational colleges and the economic level, the vegetation coverage conditions include forest vegetation area, shrub and grass vegetation area, meadow vegetation area and agricultural vegetation area, the topography includes landform types and landform classifications, the stratigraphic lithology includes stratigraphic rock system data and stratigraphic fault data, the geological structure includes tectonic movement data and water-bearing rock group data, and the human engineering activity information includes construction activities and agricultural activities.

[0021] Preferably, in step 1, the expression of the geographic data set is t represents the time point for collecting physical geographic data of the target exploration area, Indicates the traffic location of the target survey area, Indicates the meteorological and hydrological conditions of the target survey area, Indicates the socio-economic conditions of the target exploration area, Indicates the vegetation coverage conditions of the target survey area, Indicates the topography of the target exploration area. Indicates the lithology of the target exploration area. Indicates the geological structure of the target exploration area, Represents information on human engineering activities in the target survey area.

[0022] Preferably, in step 2, the historical topographic data include annual aerial images of the past five years, the topographic slope data include altitude data, rock layer dip data and slope data, the surface water data include river channel width, river channel depth and permeability test data, the groundwater data include single well water yield, water level burial depth, corresponding elevation and corrosiveness test data, and the rock and soil distribution data include rock and soil type, rock and soil color, rock and soil particle size and distribution range.

[0023] Preferably, in step 2, the expression of the environmental data set is s represents the time point for collecting geological environment data of the target exploration area, Indicates the topographic data of the target survey area over the years, Indicates the geomorphic slope data of the target survey area, Indicates the surface water data of the target survey area, Indicates the groundwater data of the target exploration area, Represents the distribution data of rock and soil in the target exploration area.

[0024] Preferably, in step 3, the digital elevation model DEM update process is as follows:

[0025] If the meteorological and hydrological conditions of the target survey area in the geographic data set Topography Stratigraphic lithology Human Engineering Activity Information Or the geomorphic slope data of the target survey area in the environmental data set Surface water data Groundwater data When new data is added, it means that potential factors for landslides have appeared in the geological environment of the target exploration area. The geological cataloging module will add the new data and input it into the ArcGIS software. The ArcGIS software will combine the two-dimensional data with the three-dimensional data to integrate and update the digital elevation model (DEM) of the target exploration area.

[0026] Preferably, in step 3, the calculation formula for the mountain surface water catchment area Hsmj is as follows:

[0027]

[0028] In the formula, Hsmj represents the surface water catchment area of ​​the mountain. It means that according to the Tianzheng calculation method, the water flow direction in the digital elevation model DEM is analyzed, the cumulative flow is used to determine the basin boundary, the catchment area is divided, and the area of ​​the grid occupied by the catchment area in the digital elevation model DEM is counted, which is the surface water catchment area of ​​the mountain.

[0029] Preferably, in step six, the prevention and control engineering suggestions include flood control and defense suggestions, geotechnical engineering suggestions, and slope stability suggestions.

[0030] Compared with the prior art, the present invention provides a geological cataloging method based on real-time data acquisition, which has the following beneficial effects:

[0031] 1. The present invention collects information on the traffic location, meteorological and hydrological conditions, socio-economic conditions, vegetation cover conditions, topography, stratum lithology, geological structure, and human engineering activities of the target exploration area, and uploads the information to the data acquisition module in real time via the network. The data acquisition module forms a geographic data set with the uploaded natural geographic data, which helps to gain a deeper understanding of the geological characteristics of the target exploration area. The present invention collects historical topographic data of the target exploration area, and collects geomorphological slope data, surface water data, groundwater data, and rock and soil distribution data of the target exploration area through field surveys. The data is then uploaded to the data acquisition module in real time via the network. The data acquisition module forms an environmental data set with the uploaded data, and obtains centimeter-level positioning accuracy in real time outdoors, thereby ensuring the reliability of the environmental data. Whenever new data is added to the geographic data set or the environmental data set, the geological cataloging module determines whether potential factors for landslides have appeared in the geological environment of the target exploration area, and updates the digital elevation model (DEM) of the target exploration area accordingly through ArcGIS software, and then calculates and generates the mountain surface water catchment area Hsmj, so that geological exploration is timely and effective.

[0032] 2. The present invention sets an observation period GC with a fixed length through the geological cataloging module, extracts geological environmental data within the observation period GC from the environmental data set, analyzes and generates a permeability data group Stsj, and then draws it into a permeability coefficient time curve diagram, which not only helps to better understand the changing trend of groundwater flow, but also provides an important basis for engineering construction and disaster prevention and mitigation. The geological cataloging module is set with a permeability threshold, and compares the permeability data group Stsj with the permeability threshold to judge the risk level of landslide in the target exploration area, and generates a corresponding disaster characteristic Zhtz, and estimates the peak flow and landslide impact range within the target exploration area. The geological cataloging module combines the digital elevation model DEM, the mountain surface water catchment area Hsmj, the permeability data group Stsj, the permeability coefficient time curve diagram and the disaster characteristic Zhtz to generate a cataloging report, and puts forward prevention and control project suggestions based on the cataloging report. The prevention and control project suggestions include flood control and defense suggestions, geotechnical engineering suggestions and slope stability suggestions, and the cataloging analysis and prevention are more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0034] 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.

[0035] Because traditional geological logging methods are less effective in detecting landslides, after collecting existing geological characteristics, it is impossible to update geological logging information in a timely manner, study disaster-causing factors in combination with regional geological characteristics, and propose professional prevention and control engineering suggestions. Therefore, a geological logging method based on real-time data collection is provided. Figure 1 The geological logging method based on real-time data acquisition includes the following steps:

[0036] Step 1: Collect information on the target exploration area's transportation location, meteorological and hydrological conditions, socioeconomic conditions, vegetation cover, topography, stratum lithology, geological structure, and human engineering activities, and upload it to the data acquisition module in real time via the network. The data acquisition module will compile the uploaded physical geographic data into a geographic dataset. Physical geographic data will help to gain a deeper understanding of the geological characteristics of the target exploration area.

[0037] The expression for the geographic dataset is t represents the time point for collecting physical geographic data of the target exploration area, Indicates the traffic location of the target survey area, which includes national geodetic coordinates, city names and road names, and clarifies the prevention and control scope of the target survey area. Indicates the meteorological and hydrological conditions of the target survey area, which include temperature data, precipitation data, evaporation data, wind direction and speed data, humidity data, air pressure data, permafrost data and water system data, to facilitate subsequent simulation of the climate and hydrological characteristics of the target survey area. The socioeconomic conditions of the target survey area include administrative area data, the number of educational institutions, and economic levels, providing reference data for subsequent more targeted prevention and control recommendations. Indicates the vegetation coverage conditions of the target survey area, which include forest vegetation area, shrub and grass vegetation area, meadow vegetation area and agricultural vegetation area. Indicates the topography of the target survey area. Topography includes types and classifications of landforms, such as plain or mountainous landforms. Indicates the stratum lithology of the target exploration area, which includes stratum rock series data and stratum fracture data. Indicates the geological structure of the target exploration area, which includes tectonic movement data and water-bearing rock group data. Indicates the human engineering activity information in the target exploration area, including construction activities and agricultural activities, which is helpful for subsequent in-depth analysis of the causes of landslides in the target exploration area;

[0038] Step 2: Collect historical topographic data of the target survey area, and survey and collect landform slope data, surface water data, groundwater data, and rock and soil distribution data of the target survey area. Then upload the data to the data acquisition module in real time via the network. The data acquisition module will compile the uploaded geological environment data into an environmental data set. Specifically, the TRIMBLE:R4 RTK measurement equipment is used to collect the survey data, and centimeter-level positioning accuracy is obtained in real time outdoors to ensure the reliability of the environmental data.

[0039] The expression of the environment dataset is s represents the time point for collecting geological environment data of the target exploration area, The target exploration area's topographic data over the years, including the annual aerial imagery for the past five years, are provided to facilitate subsequent research on changes in the target exploration area's topography. Represents the geomorphic slope data of the target exploration area. The geomorphic slope data includes elevation data, rock layer inclination data and slope data, which provides the overall mountain terrain for the subsequent simulation of the digital elevation model DEM of the target exploration area. It represents the surface water data of the target exploration area. The surface water data includes river width, river depth and infiltration test data. The infiltration test data is obtained through test pit seepage test. It is necessary to dig test pits at multiple exploration points on the mountain. The pit depth is 30 to 50 cm, the pit bottom is a circle with a diameter of 37.75 cm, and a 2 cm thick gravel layer is laid on the pit bottom. At the beginning of the test, the flow is controlled to be continuous and balanced, and the water layer thickness in the pit is kept at a constant value of 20 cm. When the injected water volume reaches a stable level and lasts for 2 to 4 hours, the test can be ended. Indicates the groundwater data of the target exploration area. The groundwater data includes the water yield of a single well, the water level depth, the corresponding elevation, and the corrosion test data. The corrosion test data is obtained according to Article 12.2 of the "Code for Geotechnical Engineering Investigation" GB50021-2001 (2009 Edition), and the evaluation table of the corrosion of groundwater on building materials on the site. Indicates the distribution data of rock and soil in the target exploration area. The distribution data of rock and soil includes rock and soil type, rock and soil color, rock and soil particle size and distribution range. The rock and soil type is mainly determined by the drilling depth to determine the sedimentary age;

[0040] Step 3: Whenever new data is added to the geographic dataset or environmental dataset, the geological cataloging module determines whether there are potential factors for landslides in the geological environment of the target exploration area, and updates the digital elevation model (DEM) of the target exploration area accordingly through ArcGIS software, and then calculates the mountain surface water catchment area Hsmj, which ensures timely and effective geological exploration.

[0041] The DEM update process is as follows:

[0042] If the meteorological and hydrological conditions of the target survey area in the geographic data set Topography Stratigraphic lithology Human Engineering Activity Information Or the geomorphic slope data of the target survey area in the environmental data set Surface water data Groundwater data When new data is added, it indicates that potential factors for landslides have appeared in the geological environment of the target exploration area. The geological cataloging module will add the new data to the ArcGIS software. ArcGIS software will integrate the two-dimensional data with the three-dimensional data to update the digital elevation model (DEM) of the target exploration area. The model contains surface elevation information and is stored in raster or vector form to facilitate subsequent detailed analysis and simulation of slope, aspect, relief, and watershed characteristics.

[0043] The calculation formula for mountain surface water catchment area Hsmj is as follows:

[0044]

[0045] In the formula, Hsmj represents the surface water catchment area of ​​the mountain. It means that according to the Tianzheng calculation method, the water flow direction in the digital elevation model (DEM) is analyzed, the accumulated flow is used to determine the basin boundary, the catchment area is divided, and the area of ​​the grid occupied by the catchment area in the digital elevation model (DEM) is counted, which is the mountain surface water catchment area. The timely and effective determination of the catchment range is helpful to predict and prevent geological disasters such as debris flows and landslides, and protect people's lives and property.

[0046] Step 4: The geological catalog module is set with a fixed observation period GC, and extracts the geological environment data within the observation period GC from the environmental data set, analyzes and generates the permeability data group Stsj, which is calculated as follows:

[0047]

[0048] In the formula, Stsj represents the penetration data group, Q represents the observation period GC, single group In the permeability test data, the stable infiltration water volume of the rock and soil layer is l, which represents the single group in the observation period GC. In the penetration test data, the penetration depth of the rock and soil layer is F, which represents the penetration depth of the rock and soil layer in the observation period GC. Seepage test data: Seepage area of ​​the pilot pit, H k Indicates that within the observation period GC, a single group In the permeability test data, the capillary pressure head, Z, represents the observation period GC, single group The water layer height of the pilot pit in the permeability test data is Indicates that each group of GCs in the observation period is calculated in sequence. The permeability coefficients corresponding to the permeability test data are arranged in chronological order from early to late, and then plotted into a permeability coefficient history curve. This not only helps to better understand the changing trend of groundwater flow, but also provides an important basis for engineering construction and disaster prevention and mitigation;

[0049] Step 5: The geological cataloging module sets a permeability threshold and compares the permeability data set Stsj with the permeability threshold to determine the risk of landslides in the target exploration area. The corresponding disaster feature Zhtz is generated to estimate the peak flow rate and landslide impact range within the target exploration area.

[0050] If the permeability coefficients of two adjacent groups in the permeability data group Stsj have exceeded the permeability threshold, it means that the risk of landslide in the target exploration area is high. The geological logging module analyzes and generates the disaster characteristic Zhtz based on the mountain surface water catchment area Hsmj. The calculation formula is as follows:

[0051]

[0052] In the formula, Zhtz represents the disaster characteristics, The runoff coefficient represents the ratio of rainfall in the target survey area to runoff. The runoff coefficient is a fixed constant in the disaster characteristic calculation formula. It represents the peak flow rate obtained by multiplying the mountain surface water catchment area by the runoff coefficient. Indicates that flood peak flow and vegetation cover conditions are calculated using ArcGIS software. geological structure Topographic data over the years and soil distribution data Substitute the digital elevation model (DEM) for fusion to estimate the affected area after a landslide occurs in the target survey area;

[0053] Step 6. The geological cataloging module combines the digital elevation model DEM, mountain surface water catchment area Hsmj, infiltration data group Stsj, permeability coefficient duration curve and disaster characteristics Zhtz to generate a cataloging report, and proposes prevention and control project suggestions based on the cataloging report. The prevention and control project suggestions include flood control and defense suggestions, geotechnical engineering suggestions and slope stability suggestions, so that the cataloging analysis and prevention are more comprehensive.

[0054] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A geological logging method based on real-time data acquisition, characterized by: The following steps are involved: Step 1: Collect information on the target survey area's traffic location, meteorological and hydrological conditions, socioeconomic conditions, vegetation cover, topography, stratum lithology, geological structure, and human engineering activities, and upload it to the data acquisition module in real time via the network. The data acquisition module will compile the uploaded natural geographic data into a geographic dataset; Step 2: Collect the topographic data of the target survey area over the years, and collect the landform slope data, surface water data, groundwater data and rock and soil distribution data of the target survey area, and then upload them to the data acquisition module in real time through the network. The data acquisition module will compile the uploaded geological environment data into an environmental data set; Step 3: Whenever new data is added to the geographic dataset or environmental dataset, the geological cataloging module determines whether there are potential factors for landslides in the geological environment of the target exploration area, and updates the digital elevation model (DEM) of the target exploration area accordingly through ArcGIS software, and then calculates and generates the mountain surface water catchment area Hsmj; Step 4: The geological catalog module is set with a fixed observation period GC, and extracts the geological environment data within the observation period GC from the environmental data set, analyzes and generates the permeability data group Stsj, and then draws it into a permeability coefficient time curve graph; The calculation formula for the penetration data group Stsj is as follows: In the formula, Stsj represents the infiltration data set, Q represents the stable infiltration water volume of the rock and soil layer at a single time point in the target exploration area within the observation period GC, l represents the infiltration depth of the rock and soil layer at a single time point in the target exploration area within the observation period GC, F represents the seepage area of ​​the test pit at a single time point in the target exploration area within the observation period GC, and H k It represents the capillary pressure head at a single time point in the target exploration area within the observation period GC, Z represents the water layer height of the test pit at a single time point in the target exploration area within the observation period GC, It means that the permeability coefficient corresponding to each time point in the observation period GC is calculated in sequence, and the permeability coefficients are arranged in chronological order from early to late, and then a permeability coefficient time curve is drawn; Step 5: The geological cataloging module sets a permeability threshold and compares the permeability data set Stsj with the permeability threshold to determine the risk of landslides in the target exploration area. The corresponding disaster feature Zhtz is generated to estimate the peak flow rate and landslide impact range within the target exploration area. If the permeability coefficients of two adjacent groups in the permeability data group Stsj have exceeded the permeability threshold, it means that the risk of landslide in the target exploration area is high. The geological logging module analyzes and generates the disaster characteristic Zhtz based on the mountain surface water catchment area Hsmj. The calculation formula is as follows: In the formula, Zhtz represents the disaster characteristics, The runoff coefficient represents the ratio of rainfall in the target survey area to runoff. The runoff coefficient is a fixed constant in the disaster characteristic calculation formula. It represents the peak flow rate obtained by multiplying the mountain surface water catchment area by the runoff coefficient. Indicates that flood peak flow and vegetation cover conditions are calculated using ArcGIS software. geological structure Topographic data over the years and soil distribution data Substitute the digital elevation model (DEM) for fusion to estimate the affected area after a landslide occurs in the target survey area; Step 6: The geological cataloging module combines the digital elevation model DEM, the mountain surface water catchment area Hsmj, the infiltration data group Stsj, the permeability coefficient duration curve and the disaster characteristics Zhtz to generate a cataloging report, and proposes prevention and control project suggestions based on the cataloging report.

2. A geological logging method based on real-time data acquisition according to claim 1, characterized in that: In step one, the traffic location includes national geodetic coordinates, city names, and road names; the meteorological and hydrological conditions include temperature data, precipitation data, evaporation data, wind direction and speed data, humidity data, air pressure data, permafrost data, and water system data; the socioeconomic conditions include administrative region data, the number of educational institutions, and the economic level; the vegetation cover conditions include forest vegetation area, shrub and grass vegetation area, meadow vegetation area, and agricultural vegetation area; the topography includes landform types and landform classifications; the stratigraphic lithology includes stratigraphic rock system data and stratigraphic fault data; the geological structure includes tectonic movement data and water-bearing rock group data; and the human engineering activity information includes construction activities and agricultural activities.

3. A geological logging method based on real-time data acquisition according to claim 2, characterized in that: In step 1, the expression of the geographic dataset is t represents the time point for collecting physical geographic data of the target exploration area, Indicates the traffic location of the target survey area, Indicates the meteorological and hydrological conditions of the target survey area, Indicates the socio-economic conditions of the target exploration area, Indicates the vegetation coverage conditions of the target survey area, Indicates the topography of the target exploration area. Indicates the lithology of the target exploration area. Indicates the geological structure of the target exploration area, Represents information on human engineering activities in the target survey area.

4. A geological logging method based on real-time data acquisition according to claim 3, characterized in that: In step 2, the historical topographic data include annual aerial images of the past five years, the topographic slope data include altitude data, rock layer dip data and slope data, the surface water data include river channel width, river channel depth and infiltration test data, the groundwater data include single well water yield, water level burial depth, corresponding elevation and corrosion test data, and the rock and soil distribution data include rock and soil type, rock and soil color, rock and soil particle size and distribution range.

5. A geological logging method based on real-time data acquisition according to claim 4, characterized in that: In step 2, the expression of the environmental data set is s represents the time point for collecting geological environment data of the target exploration area, Indicates the topographic data of the target survey area over the years, Indicates the geomorphic slope data of the target survey area, Indicates the surface water data of the target survey area, Indicates the groundwater data of the target exploration area, Indicates the distribution data of rock and soil in the target exploration area, among which the surface water data of the target exploration area It includes the stable infiltration water volume of the rock and soil layer, the infiltration depth of the rock and soil layer, the seepage area of ​​the test pit, the capillary pressure head and the height of the water layer in the test pit.

6. A geological logging method based on real-time data acquisition according to claim 5, characterized in that: In step 3, the DEM update process is as follows: If the meteorological and hydrological conditions of the target survey area in the geographic data set Topography Stratigraphic lithology Human Engineering Activity Information Or the geomorphic slope data of the target survey area in the environmental data set Surface water data Groundwater data When new data is added, it means that potential factors for landslides have appeared in the geological environment of the target exploration area. The geological cataloging module will add the new data and input it into the ArcGIS software. The ArcGIS software will combine the two-dimensional data with the three-dimensional data to integrate and update the digital elevation model (DME) of the target exploration area.

7. A geological logging method based on real-time data acquisition according to claim 6, characterized in that: In step 3, the calculation formula for the mountain surface water catchment area Hsmj is as follows: In the formula, Hsmj represents the surface water catchment area of ​​the mountain. It means that according to the Tianzheng calculation method, the water flow direction in the digital elevation model DEM is analyzed, the cumulative flow is used to determine the basin boundary, the catchment area is divided, and the area of ​​the grid occupied by the catchment area in the digital elevation model DEM is counted, which is the surface water catchment area of ​​the mountain.

8. A geological logging method based on real-time data acquisition according to claim 7, characterized in that: In step six, the prevention and control engineering suggestions include flood control and defense suggestions, geotechnical engineering suggestions, and slope stability suggestions.

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