Large-dip-angle rapid tunneling control method under complex geological conditions

Abstract

The invention relates to the technical field of rapid tunneling control, in particular to a large-dip-angle rapid tunneling control method under complex geological conditions, which comprises the following steps of: analyzing geological exploration data and historical geological data to obtain prediction comprehensive information, and obtaining equipment optimization suggestions through the prediction comprehensive information; tunneling work is carried out according to equipment optimization suggestions, segmented tunneling can be conveniently carried out on a tunneling area, equipment preparation is facilitated in advance, and the working efficiency is improved; the working state of tunneling work is collected to obtain tunneling work data, the tunneling work data is analyzed to obtain tunneling state information, tunneling adjustment information is obtained according to the tunneling state information, tunneling adjustment is carried out according to the tunneling adjustment information, safe operation of equipment is guaranteed, and production safety is improved.

Description

Technical Field

[0001] The invention relates to the technical field of rapid excavation control, and in particular to a large-angle rapid excavation control method under complex geological conditions. Background Art

[0002] At present, with the development of economy and science and technology, other new energy sources are constantly pouring into the market, sharing the economic pie with coal, and the proportion of coal in total energy consumption is also declining. However, due to the characteristics of my country's energy endowment, coal will not undergo major changes in a short period of time; as the focus of my country's coal production continues to shift westward, western mining areas will play an increasingly important role in ensuring national energy security. It is urgent to mine coal economically and efficiently under the premise of ensuring safety and environmental tolerance, and to achieve safe production throughout the entire process of coal mine infrastructure and scientific mining.

[0003] When excavating downhill in a high-angle tunnel under complex geological conditions, the tunnel cross-section is too large in different excavation sections, and more advanced tunnel boring machines are needed to excavate in different directions. In the actual coal production process, a large cross-sectional angle is easily formed, requiring frequent equipment replacement, which affects the production rate. Summary of the invention

[0004] The present invention provides a method for controlling rapid tunneling at a large inclination angle under complex geological conditions, which is used to solve the above-mentioned technical problems.

[0005] The first aspect of the present invention provides a method for controlling rapid excavation at a large inclination angle under complex geological conditions, comprising the following steps:

[0006] Step 1: geological survey and analysis: geological survey and historical data are obtained by obtaining geological survey data and historical geological data of the excavation area, and the geological survey data and historical geological data are sent to the server.

[0007] Step 2: tunneling equipment selection and optimization: obtain geological exploration data and historical geological data, analyze the geological exploration data and historical geological data to obtain predictive comprehensive information, and obtain equipment optimization suggestions through predictive comprehensive information.

[0008] As a further improvement of the present invention, the analysis of geological exploration data and historical geological data is specifically as follows:

[0009] The excavation area is divided into multiple excavation sections, and the geological exploration data and historical geological data of each excavation section are obtained. The rock layer distribution data, seismic wave data and groundwater data are obtained by identifying the geological exploration data; the rock layer type of each excavation section is obtained according to the rock layer distribution of each excavation section, the rock layer thickness of each rock layer type corresponding to each excavation section is counted, and the thickness ratio of the cross-section of each rock layer type corresponding to the excavation section is obtained according to the thickness of each rock layer, and the rock characteristics corresponding to each rock layer type are obtained. The rock characteristics are divided into multiple hardness levels according to the rock hardness, and each hardness level corresponds to a stability index. The rock characteristics corresponding to each rock layer type are matched with multiple hardness levels to obtain the corresponding stability index, and the thickness ratio corresponding to the rock type corresponding to each excavation section is multiplied by the stability index to obtain the product, and the value of the product is marked as the type stability index, and the type stability index corresponding to the rock type of each excavation section is added and summed to obtain the total stability index.

[0010] According to the seismic wave data of each excavation section, the corresponding number of seismic waves and seismic wave intensity per unit time are obtained; a pre-set seismic wave intensity threshold is obtained, and the seismic wave intensity corresponding to each seismic wave number of the excavation section is compared with the seismic wave intensity threshold; when the seismic wave intensity is greater than the seismic wave intensity threshold, the corresponding seismic wave intensity is marked as abnormal seismic wave intensity, and the seismic wave influence index is calculated by subtracting the seismic wave intensity threshold from the abnormal seismic wave intensity.

[0011] The drainage data corresponding to each excavation section are identified to obtain the nearby water areas and water permeability; the water permeability of each excavation section is divided into multiple water permeability intervals, each water permeability interval corresponds to a water permeability intensity value, and the water permeability intensity value of each excavation section is matched with multiple water permeability intervals to obtain the corresponding water permeability intensity value; the nearby water areas of each excavation section are identified to obtain the water content and straight-line distance of each nearby water area, and a pre-set water content threshold is obtained, and the water content of each nearby water area is compared with the water content threshold. When the water content is greater than the water content threshold, the corresponding The water content is marked as the influencing water volume, and the straight-line distance corresponding to each influencing water volume is obtained. The straight-line distance is divided into multiple straight-line distance intervals, and each straight-line distance interval corresponds to a distance influence rate. The straight-line distance corresponding to each influencing water volume is matched with multiple straight-line distance intervals to obtain the corresponding distance influence rate. Each influencing water volume is multiplied by the corresponding distance influence rate to obtain the water volume influence index of each influencing water volume. The water volume influence indexes of each influencing water volume are added together to obtain the total water volume influence value. The total water volume influence value is added to the seepage intensity value to obtain the groundwater influence index.

[0012] An ellipse is drawn with the values ​​of the seismic impact index and the groundwater impact index as the major and minor axes of the ellipse, a circle is constructed with the center of the ellipse as the center and the value of the total stability index as the radius, a closed figure is constructed with the ellipse and the circle, the area of ​​the ellipse and the area of ​​the circle are calculated, a value is obtained by subtracting the area of ​​the circle from the area of ​​the ellipse, and the absolute value of the value is marked as the exploration impact index.

[0013] As a further improvement of the present invention, geological disaster data and historical mining data of the mining area are obtained by identifying historical geological data; the disaster occurrence coordinates corresponding to each geological disaster data are obtained, and the disaster radiation range of each geological disaster is obtained according to each disaster occurrence coordinate, and the mining coordinates of each mining section corresponding to the mining area are obtained, and the disaster occurrence coordinates in the geological disaster data are overlapped and compared with the mining coordinates of each mining section in the mining area to obtain the number of geological disasters corresponding to each excavation section, and the number of geological disasters in the analysis time period corresponding to each excavation section is obtained, and the number of geological disasters in the analysis time period is marked as the analysis disaster number, and the analysis disaster number is calculated by ratio with the analysis time period to obtain the number of disasters in each analysis time period, and the number of disasters is compared with the set threshold value. When the number of disasters is greater than the set threshold value, the part of the number of disasters greater than the threshold value is marked as the disaster impact index.

[0014] The exploration impact index corresponding to each excavation section is added to the frequency of disaster occurrence to obtain the geological impact value, and the geological impact value is divided into multiple geological impact value intervals. Each geological impact value interval corresponds to a resource input degree, and the geological impact value of each excavation section is matched with multiple geological impact value intervals to obtain the resource input degree corresponding to each excavation section; the historical mining data includes disaster response measures and geological response measures. The geological type and disaster type of each excavation section are matched with the disaster response measures and address response measures to obtain the predicted disaster response measures and predicted geological response measures corresponding to each excavation section, and according to the resource input degree of each excavation section, the expected disaster response measures and the predicted geological response measures are obtained. The expected disaster response measures and predicted geological response measures corresponding to the excavation section and the corresponding investment degree are integrated to obtain the corresponding predicted comprehensive information.

[0015] Step three, excavation analysis and control, obtain equipment optimization suggestions and perform excavation work in sections according to the equipment optimization suggestions, collect the working status of the excavation work to obtain excavation work data, analyze the excavation work data to obtain excavation status information, obtain excavation adjustment information based on the excavation status information, and perform excavation adjustments based on the excavation adjustment information.

[0016] As a further improvement of the present invention, the excavation work data is analyzed, which is specifically:

[0017] The excavation work data corresponding to the excavation work status is collected by sensors, and the excavation work data is identified to obtain the tunnel boring machine data, environmental data and construction progress data.

[0018] The tunneling load and tool status data are obtained by identifying the tunneling machine data; based on the tunneling load reference value corresponding to each tunneling machine, the tunneling load of each tunneling machine is calculated and the tunneling load reference value is calculated, and the absolute value is taken to mark the obtained difference as the load difference, and the load difference is compared with the set threshold value. When the load difference is greater than the set threshold value, the corresponding load difference is marked as the overload impact difference; the wear area of ​​each tunneling tool is obtained through the prop status data, and the wear area of ​​each tunneling tool is calculated by ratio to the total area of ​​the blade to obtain the wear ratio of each tunneling tool. When the wear ratio of the tunneling tool is greater than the set threshold, the corresponding tunneling tool is marked as a high-wear tool, the number of high-wear tools is obtained by statistics, and the number of high-wear tools is calculated by ratio to the total number of tunneling tools to obtain the wear tool impact value.

[0019] The dust concentration and gas concentration of each excavation section are obtained by identifying the environmental data; the dust concentration reference value corresponding to the dust concentration is obtained. When the dust concentration is greater than the dust concentration reference value, the dust concentration overflow value is obtained by subtracting the dust concentration reference value from the dust concentration; similarly, the corresponding gas concentration overflow value is obtained based on the gas concentration corresponding to each excavation section; the dust concentration overflow value and the gas concentration overflow value are added together to obtain the environmental impact value.

[0020] The excavation footage and excavation cycle time are obtained by identifying the construction progress data; the excavation footage of multiple continuous unit times of the excavation segment is obtained, the multiple excavation footages are calculated to find the average value and the value is marked as the reference excavation footage, the excavation footage of the current unit time is compared with the reference excavation footage, when the excavation footage of the current unit time is less than the set reference excavation footage, the difference between the excavation footage of the current unit time and the reference excavation footage is used as the corresponding footage impact value; multiple excavation cycle times in a unit time are obtained and added to find the average value to obtain the excavation average time, a pre-set excavation cycle time threshold is obtained, when the excavation average time is greater than the set excavation cycle time threshold, the corresponding excavation average time is used as the cycle time impact value; the footage impact value and the cycle time impact value are added and summed to obtain the construction impact value.

[0021] The overload impact difference, tool wear impact value, environmental impact value and construction impact value are normalized and their values ​​are taken. The excavation working status influence value YX is obtained; among them, CZ, MD, hjz, and sgz represent the overload influence difference, the wear tool influence value, the environmental impact value, and the construction impact value, respectively; b1, b2, and b3 are all set weight factors, with values ​​of 2.91, 1.97, and 3.12, respectively; when the excavation working status influence value is greater than the set threshold, the excavation status information is marked as abnormal.

[0022] Step 4: Human-machine adjustment and control, identify the excavation status of each excavation equipment, send personnel deployment information to the corresponding personnel when the excavation is abnormal, and mark the working time of each personnel. When the working time exceeds the set threshold, a corresponding early warning is generated.

[0023] Step 5: Safety monitoring: obtain the environmental impact value corresponding to the environmental status, and perform environmental safety monitoring based on the environmental impact value.

[0024] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0025] 1. The present invention obtains forecast comprehensive information by analyzing geological exploration data and historical geological data, and obtains equipment optimization suggestions through the forecast comprehensive information, and then performs excavation work according to the equipment optimization suggestions, so as to facilitate segmented excavation of the excavation area, facilitate equipment preparation in advance and increase work efficiency.

[0026] 2. The present invention obtains excavation work data by collecting the working status of the excavation work, analyzes the excavation work data to obtain excavation status information, obtains excavation adjustment information according to the excavation status information, and performs excavation adjustment according to the excavation adjustment information to ensure the safe operation of the equipment and increase production safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0028] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0030] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, a method for controlling rapid excavation at a large inclination angle under complex geological conditions is provided, the method comprising the following steps:

[0031] Step 1: geological survey and analysis: geological survey and historical data are obtained by obtaining geological survey data and historical geological data of the excavation area, and the geological survey data and historical geological data are sent to the server.

[0032] Step 2: tunneling equipment selection and optimization. By acquiring geological exploration data and historical geological data, and analyzing the geological exploration data and historical geological data to obtain forecast comprehensive information, and obtaining equipment optimization suggestions through forecast comprehensive information, the specific steps are as follows:

[0033] The excavation area is divided into multiple excavation sections, and the geological exploration data and historical geological data of each excavation section are obtained. The rock layer distribution data, seismic wave data and groundwater data are obtained by identifying the geological exploration data; the rock layer type of each excavation section is obtained according to the rock layer distribution of each excavation section, the rock layer thickness of each rock layer type corresponding to each excavation section is counted, and the thickness ratio of the cross-section of each rock layer type corresponding to the excavation section is obtained according to the thickness of each rock layer, and the rock characteristics corresponding to each rock layer type are obtained. The rock characteristics are divided into multiple hardness levels according to the rock hardness, and each hardness level corresponds to a stability index. The rock characteristics corresponding to each rock layer type are matched with multiple hardness levels to obtain the corresponding stability index, and the thickness ratio corresponding to the rock type corresponding to each excavation section is multiplied by the stability index to obtain the product, and the value of the product is marked as the type stability index, and the type stability index corresponding to the rock type of each excavation section is added and summed to obtain the total stability index.

[0034] According to the seismic wave data of each excavation section, the corresponding number of seismic waves and seismic wave intensity per unit time are obtained; a pre-set seismic wave intensity threshold is obtained, and the seismic wave intensity corresponding to each seismic wave number of the excavation section is compared with the seismic wave intensity threshold; when the seismic wave intensity is greater than the seismic wave intensity threshold, the corresponding seismic wave intensity is marked as abnormal seismic wave intensity, and the seismic wave influence index is calculated by subtracting the seismic wave intensity threshold from the abnormal seismic wave intensity.

[0035] The drainage data corresponding to each excavation section are identified to obtain the nearby water areas and water permeability; the water permeability of each excavation section is divided into multiple water permeability intervals, each water permeability interval corresponds to a water permeability intensity value, and the water permeability intensity value of each excavation section is matched with multiple water permeability intervals to obtain the corresponding water permeability intensity value; the nearby water areas of each excavation section are identified to obtain the water content and straight-line distance of each nearby water area, and a pre-set water content threshold is obtained, and the water content of each nearby water area is compared with the water content threshold. When the water content is greater than the water content threshold, the corresponding The water content is marked as the influencing water volume, and the straight-line distance corresponding to each influencing water volume is obtained. The straight-line distance is divided into multiple straight-line distance intervals, and each straight-line distance interval corresponds to a distance influence rate. The straight-line distance corresponding to each influencing water volume is matched with multiple straight-line distance intervals to obtain the corresponding distance influence rate. Each influencing water volume is multiplied by the corresponding distance influence rate to obtain the water volume influence index of each influencing water volume. The water volume influence indexes of each influencing water volume are added together to obtain the total water volume influence value. The total water volume influence value is added to the seepage intensity value to obtain the groundwater influence index.

[0036] An ellipse is drawn with the values ​​of the seismic impact index and the groundwater impact index as the major and minor axes of the ellipse, a circle is constructed with the center of the ellipse as the center and the value of the total stability index as the radius, a closed figure is constructed with the ellipse and the circle, the area of ​​the ellipse and the area of ​​the circle are calculated, a value is obtained by subtracting the area of ​​the circle from the area of ​​the ellipse, and the absolute value of the value is marked as the exploration impact index.

[0037] The geological disaster data and historical mining data of the mining area are obtained by identifying the historical geological data; the disaster occurrence coordinates corresponding to each geological disaster data are obtained, and the disaster radiation range of each geological disaster is obtained according to the disaster occurrence coordinates, and the mining coordinates of each mining section corresponding to the mining area are obtained, and the disaster occurrence coordinates in the geological disaster data are overlapped and compared with the mining coordinates of each mining section in the mining area to obtain the number of geological disasters corresponding to each excavation section, and the number of geological disasters in the analysis time period corresponding to each excavation section is obtained, and the number of geological disasters in the analysis time period is marked as the analysis disaster number, and the ratio of the analysis disaster number to the analysis time period is calculated to obtain the number of disasters in each analysis time period, and the number of disasters is compared with the set threshold. When the number of disasters is greater than the set threshold, the part of the number of disasters greater than the threshold is marked as the disaster impact index.

[0038] The exploration impact index corresponding to each excavation section is added to the frequency of disaster occurrence to obtain the geological impact value, and the geological impact value is divided into multiple geological impact value intervals. Each geological impact value interval corresponds to a resource input degree, and the geological impact value of each excavation section is matched with multiple geological impact value intervals to obtain the resource input degree corresponding to each excavation section; the historical mining data includes disaster response measures and geological response measures. The geological type and disaster type of each excavation section are matched with the disaster response measures and address response measures to obtain the predicted disaster response measures and predicted geological response measures corresponding to each excavation section, and according to the resource input degree of each excavation section, the expected disaster response measures and the predicted geological response measures are obtained. The expected disaster response measures and predicted geological response measures corresponding to the excavation section and the corresponding investment degree are integrated to obtain the corresponding predicted comprehensive information.

[0039] Step 3: Excavation analysis and control: obtain equipment optimization opinions and perform excavation work in sections according to the equipment optimization opinions, collect the working status of the excavation work to obtain excavation work data, analyze the excavation work data to obtain excavation status information, obtain excavation adjustment information according to the excavation status information, and perform excavation adjustment according to the excavation adjustment information, which is specifically as follows:

[0040] The excavation work data corresponding to the excavation work status is collected by sensors, and the excavation work data is identified to obtain the tunnel boring machine data, environmental data and construction progress data.

[0041] The tunneling load and tool status data are obtained by identifying the tunneling machine data; based on the tunneling load reference value corresponding to each tunneling machine, the tunneling load of each tunneling machine is calculated and the tunneling load reference value is calculated, and the absolute value is taken to mark the obtained difference as the load difference, and the load difference is compared with the set threshold value. When the load difference is greater than the set threshold value, the corresponding load difference is marked as the overload impact difference; the wear area of ​​each tunneling tool is obtained through the prop status data, and the wear area of ​​each tunneling tool is calculated by ratio to the total area of ​​the blade to obtain the wear ratio of each tunneling tool. When the wear ratio of the tunneling tool is greater than the set threshold, the corresponding tunneling tool is marked as a high-wear tool, the number of high-wear tools is obtained by statistics, and the number of high-wear tools is calculated by ratio to the total number of tunneling tools to obtain the wear tool impact value.

[0042] The dust concentration and gas concentration of each excavation section are obtained by identifying the environmental data; the dust concentration reference value corresponding to the dust concentration is obtained. When the dust concentration is greater than the dust concentration reference value, the dust concentration overflow value is obtained by subtracting the dust concentration reference value from the dust concentration; similarly, the corresponding gas concentration overflow value is obtained based on the gas concentration corresponding to each excavation section; the dust concentration overflow value and the gas concentration overflow value are added together to obtain the environmental impact value.

[0043] The excavation footage and excavation cycle time are obtained by identifying the construction progress data; the excavation footage of multiple continuous unit times of the excavation segment is obtained, the multiple excavation footages are calculated to find the average value and the value is marked as the reference excavation footage, the excavation footage of the current unit time is compared with the reference excavation footage, when the excavation footage of the current unit time is less than the set reference excavation footage, the difference between the excavation footage of the current unit time and the reference excavation footage is used as the corresponding footage impact value; multiple excavation cycle times in a unit time are obtained and added to find the average value to obtain the excavation average time, a pre-set excavation cycle time threshold is obtained, when the excavation average time is greater than the set excavation cycle time threshold, the corresponding excavation average time is used as the cycle time impact value; the footage impact value and the cycle time impact value are added and summed to obtain the construction impact value.

[0044] The overload impact difference, tool wear impact value, environmental impact value and construction impact value are normalized and their values ​​are taken. The excavation working status influence value YX is obtained; among them, CZ, MD, hjz, and sgz represent the overload influence difference, the wear tool influence value, the environmental impact value, and the construction impact value, respectively; b1, b2, and b3 are all set weight factors, with values ​​of 2.91, 1.97, and 3.12, respectively; when the excavation working status influence value is greater than the set threshold, the excavation status information is marked as abnormal.

[0045] Step 4: Human-machine adjustment and control, identify the excavation status of each excavation equipment, send personnel deployment information to the corresponding personnel when the excavation is abnormal, and mark the working time of each personnel. When the working time exceeds the set threshold, a corresponding early warning is generated.

[0046] Step 5: Safety monitoring: obtain the environmental impact value corresponding to the environmental status, and perform environmental safety monitoring based on the environmental impact value.

[0047] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling rapid excavation at large inclination angles under complex geological conditions. It is characterized in that The steps include: Step 1: Obtain geological exploration data and historical geological data of the excavation area by conducting geological exploration and acquiring historical data of the excavation area, and send the geological exploration data and historical geological data to the server; Step 2: Obtain geological exploration data and historical geological data, analyze the geological exploration data and historical geological data to obtain forecast comprehensive information, and obtain equipment optimization suggestions through the forecast comprehensive information; Step 3: Obtain equipment optimization opinions and perform excavation work in sections according to the equipment optimization opinions, collect the working status of the excavation work to obtain excavation work data, analyze the excavation work data to obtain excavation status information, obtain excavation adjustment information according to the excavation status information and perform corresponding excavation adjustment; Step 4: Identify the excavation status of each excavation equipment. When the excavation is abnormal, send personnel deployment information to the corresponding personnel, and mark the working time of each personnel. When the working time exceeds the set threshold, generate a corresponding warning; Step 5: Obtain the environmental impact value corresponding to the environmental status, and conduct environmental safety monitoring based on the environmental impact value.

2. According to claim 1, a method for controlling rapid excavation at a large inclination angle under complex geological conditions, It is characterized in that The analysis of geological exploration data and historical geological data is specifically as follows: Divide the excavation area into multiple excavation sections, obtain geological exploration data and historical geological data of each excavation section, and obtain rock layer distribution data, seismic wave data and groundwater data by identifying the geological exploration data; obtain the rock layer type of each excavation section according to the rock layer distribution of each excavation section, count the rock layer thickness of each rock layer type corresponding to each excavation section, obtain the thickness ratio of the cross section of each rock layer type corresponding to the excavation section according to the thickness of each rock layer, obtain the rock characteristics corresponding to each rock layer type, divide the rock characteristics into multiple hardness levels according to the rock hardness, each hardness level corresponds to a stability index, match the rock characteristics corresponding to each rock layer type with the multiple hardness levels to obtain the corresponding stability index, multiply the thickness ratio corresponding to the rock type corresponding to each excavation section and the stability index to obtain the product, mark the value of the product as the type stability index, add and sum the type stability indexes corresponding to the rock type of each excavation section to obtain the total stability index; According to the seismic wave data of each excavation section, the corresponding number of seismic waves and the seismic wave intensity per unit time are obtained; a pre-set seismic wave intensity threshold is obtained, and the seismic wave intensity corresponding to each number of seismic waves in the excavation section is compared with the seismic wave intensity threshold; when the seismic wave intensity is greater than the seismic wave intensity threshold, the corresponding seismic wave intensity is marked as abnormal seismic wave intensity, and the seismic wave influence index is calculated by subtracting the seismic wave intensity threshold from the abnormal seismic wave intensity; The drainage data corresponding to each excavation section are identified to obtain the nearby water areas and water permeability; the water permeability of each excavation section is divided into multiple water permeability intervals, each water permeability interval corresponds to a water permeability intensity value, and the water permeability intensity value of each excavation section is matched with multiple water permeability intervals to obtain the corresponding water permeability intensity value; the nearby water areas of each excavation section are identified to obtain the water content and straight-line distance of each nearby water area, and a pre-set water content threshold is obtained, and the water content of each nearby water area is compared with the water content threshold. When the water content is greater than the water content threshold, the corresponding The water content is marked as the influencing water volume, and the straight-line distance corresponding to each influencing water volume is obtained. The straight-line distance is divided into multiple straight-line distance intervals, and each straight-line distance interval corresponds to a distance influence rate. The straight-line distance corresponding to each influencing water volume is matched with multiple straight-line distance intervals to obtain the corresponding distance influence rate. Each influencing water volume is multiplied by the corresponding distance influence rate to obtain the water volume influence index of each influencing water volume. The water volume influence indexes of each influencing water volume are added and summed to obtain the total water volume influence value. The total water volume influence value is added to the seepage intensity value to obtain the groundwater influence index; An ellipse is drawn with the values ​​of the seismic impact index and the groundwater impact index as the major and minor axes of the ellipse, a circle is constructed with the center of the ellipse as the center and the value of the total stability index as the radius, a closed figure is constructed with the ellipse and the circle, the area of ​​the ellipse and the area of ​​the circle are calculated, a value is obtained by subtracting the area of ​​the circle from the area of ​​the ellipse, and the absolute value of the value is marked as the exploration impact index.

3. A method for controlling rapid excavation at a large inclination angle under complex geological conditions according to claim 2, It is characterized in that The historical geological data include geological disaster data and historical mining data of the mining area. Obtain the disaster occurrence coordinates corresponding to each geological disaster data, and obtain the disaster radiation range of each geological disaster according to the disaster occurrence coordinates, and obtain the mining coordinates of each mining section corresponding to the mining area, and overlap and compare the disaster occurrence coordinates in the geological disaster data with the mining coordinates of each mining section in the mining area to obtain the number of geological disasters corresponding to each excavation section, and obtain the number of geological disasters in a pre-set analysis time period corresponding to each excavation section, and mark the number of geological disasters in the analysis time period as the analysis disaster number, calculate the ratio of the analysis disaster number to the analysis time period to obtain the number of disasters in each analysis time period, and compare the number of disasters with the set threshold value. When the number of disasters is greater than the set threshold value, mark the part of the number of disasters greater than the threshold value as the disaster impact index; The exploration impact index corresponding to each excavation section is added to the frequency of disaster occurrence to obtain the geological impact value, and the geological impact value is divided into multiple geological impact value intervals. Each geological impact value interval corresponds to a resource input degree, and the geological impact value of each excavation section is matched with multiple geological impact value intervals to obtain the resource input degree corresponding to each excavation section; the historical mining data includes disaster response measures and geological response measures. The geological type and disaster type of each excavation section are matched with the disaster response measures and address response measures to obtain the predicted disaster response measures and predicted geological response measures corresponding to each excavation section, and according to the resource input degree of each excavation section, the expected disaster response measures and the predicted geological response measures are obtained. The expected disaster response measures and predicted geological response measures corresponding to the excavation section and the corresponding investment degree are integrated to obtain the corresponding predicted comprehensive information.

4. According to claim 1, a method for controlling rapid excavation at a large inclination angle under complex geological conditions, It is characterized in that The analysis of the excavation work data is specifically as follows: The excavation work data corresponding to the excavation work status is collected by sensors, and the excavation work data is identified to obtain the tunnel boring machine data, environmental data and construction progress data. The excavation load and tool status data are obtained by identifying the tunneling machine data; based on the corresponding tunneling load reference value set for each tunneling machine, the tunneling load of each tunneling machine is calculated to be different from the tunneling load reference value, and the absolute value is taken to mark the obtained difference as the load difference, and the load difference is compared with the set threshold value. When the load difference is greater than the set threshold value, the corresponding load difference is marked as the overload impact difference; the wear area of ​​each tunneling tool is obtained through the tool status data, and the wear area of ​​each tunneling tool is calculated by ratio to the total area of ​​the blade to obtain the wear ratio of each tunneling tool. When the wear ratio of the tunneling tool is greater than the set threshold, the corresponding tunneling tool is marked as a high-wear tool, the number of high-wear tools is obtained by counting, and the number of high-wear tools is calculated by ratio to the total number of tunneling tools to obtain the wear tool impact value; The dust concentration and gas concentration of each excavation section are obtained by identifying the environmental data; the dust concentration reference value corresponding to the dust concentration is obtained; when the dust concentration is greater than the dust concentration reference value, the dust concentration reference value is subtracted from the dust concentration to obtain the dust concentration overflow value; similarly, the corresponding gas concentration overflow value is obtained based on the gas concentration corresponding to each excavation section; the dust concentration overflow value and the gas concentration overflow value are added together to obtain the environmental impact value; The excavation footage and excavation cycle time are obtained by identifying the construction progress data; the excavation footage of multiple continuous unit times of the excavation segment is obtained, the multiple excavation footages are calculated and averaged and the value is marked as the reference excavation footage, the excavation footage of the current unit time is compared with the reference excavation footage, when the excavation footage of the current unit time is less than the set reference excavation footage, the difference between the excavation footage of the current unit time and the reference excavation footage is used as the corresponding footage impact value; multiple excavation cycle times in a unit time are obtained and added and averaged to obtain the excavation average time, a pre-set excavation cycle time threshold is obtained, and when the excavation average time is greater than the set excavation cycle time threshold, the corresponding excavation average time is used as the cycle time impact value; the footage impact value and the cycle time impact value are added and summed to obtain the construction impact value; The overload impact difference, tool wear impact value, environmental impact value and construction impact value are normalized and their values ​​are taken. The excavation working state influence value YX is obtained; among them, CZ, MD, hjz, and sgz represent the overload influence difference, the wear tool influence value, the environmental influence value, and the construction influence value, respectively; b1, b2, and b3 are all set weight factors; when the excavation working state influence value is greater than the set threshold, the excavation state information is marked as abnormal.

Images