Advanced geological forecast multi-dimensional parameter comprehensive analysis method

Abstract

The invention provides an advanced geological forecast multi-dimensional parameter comprehensive analysis method, which relates to the technical field of data processing methods for prediction purposes, and is characterized in that single-dimensional parameters are respectively utilized to carry out advanced geological forecast to obtain advanced geological forecast results corresponding to the single-dimensional parameters; determining the membership degree of each parameter in the single-dimensional parameters and each advanced geological forecast result, taking each parameter in each single-dimensional parameter as a factor, forming a factor set by all factors, forming an evaluation matrix by all membership degrees, setting the weight of each factor in the factor set, and calculating the weight of each factor in the evaluation matrix; the weights of all factors are recombined into weight vectors, the weight vectors and the evaluation matrix are multiplied to obtain a confidence coefficient matrix of the advance geological forecast results, the advance geological forecast result with the highest confidence coefficient is selected from the confidence coefficient matrix to serve as the analyzed advance geological forecast result, and the problem that existing advance geological forecast is inaccurate is solved. The method is suitable for multi-dimensional advanced geological forecast.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing methods for prediction purposes, and in particular to a comprehensive analysis method of multi-dimensional parameters for advanced geological prediction. Background Art

[0002] In order to ensure the safety of construction workers and construction progress, it is necessary to make advance predictions of tunnel surrounding rocks during tunnel excavation. In the past, advance geological predictions mostly relied on a single artificial comprehensive geological prediction method. When predicting during tunnel construction, there were serious omissions and misjudgments, which could easily cause geological disasters such as collapse, water gushing, and mud bursts, making it difficult to ensure the safety of tunnel construction. Summary of the invention

[0003] The technical problem solved by the present invention is to provide a comprehensive analysis method of multi-dimensional parameters of advanced geological forecasting to solve the problem of inaccurate existing advanced geological forecasting.

[0004] The technical solution adopted by the present invention to solve the above technical problems is: a comprehensive analysis method of multi-dimensional parameters of advanced geological prediction, comprising the following steps: S1. For each single-dimensional parameter, advanced geological prediction is performed respectively to obtain the advanced geological prediction result corresponding to each single-dimensional parameter, and the membership degree of each parameter in the single-dimensional parameter and the corresponding advanced geological prediction result is determined; S2, taking each parameter in each single-dimensional parameter as a factor, forming all factors into a factor set, and forming all membership degrees into an evaluation matrix; S3. Set the weight of each factor in the factor set, and form a weight vector with the weights of all factors; S4. Multiply the weight vector and the evaluation matrix to obtain a confidence matrix of the advanced geological prediction result, and select the advanced geological prediction result with the highest confidence from the confidence matrix as the analyzed advanced geological prediction result.

[0005] Furthermore, the single-dimensional parameters include one of basic geological information dimensional parameters, construction excavation and tunneling data dimensional parameters, detection and monitoring dimensional parameters, advance drilling dimensional parameters and geophysical field dimensional parameters.

[0006] Furthermore, the basic geological information dimensional parameters include one or more of topographic parameters, stratum lithology parameters, geological structure parameters, weathering unloading parameters, groundwater parameters and ground stress state parameters.

[0007] Furthermore, the construction excavation and tunneling data dimension parameters include one or more of drilling and blasting construction record parameters, tunneling machine parameters and slag information parameters.

[0008] Furthermore, the detection and monitoring dimensional parameters include one or more of microseismic monitoring parameters, deformation monitoring parameters, relaxation circle detection parameters, stress monitoring parameters, seepage monitoring parameters, high geotemperature monitoring parameters, radioactivity detection parameters and harmful gas detection parameters.

[0009] Furthermore, the advanced drilling dimensional parameters include one or more of advanced drilling borehole imaging parameters and advanced cavern well parameters.

[0010] Furthermore, the geophysical field dimensional parameters include one or more of seismic wave method difference parameters and electrical difference parameters.

[0011] Furthermore, the advanced geological forecast includes one or more of whether there is a fault fracture zone, whether there is karst water and mud outbursts, whether there is soft rock, whether there is rock burst, whether there is high geothermal heat damage, whether there is radioactivity, or whether there is toxic and harmful gas.

[0012] The beneficial effects of the invention are as follows: the invention provides a comprehensive analysis method for multi-dimensional parameters of advanced geological prediction, which respectively uses single-dimensional parameters to perform advanced geological prediction, obtains the advanced geological prediction results corresponding to the single-dimensional parameters, and determines the membership of each parameter in the single-dimensional parameters and each advanced geological prediction result, takes each parameter in each single-dimensional parameter as a factor, forms all factors into a factor set, forms all memberships into an evaluation matrix, sets the weight of each factor in the factor set, forms a weight vector with the weights of all factors, multiplies the weight vector and the evaluation matrix to obtain the confidence matrix of the advanced geological prediction results, selects the advanced geological prediction result with the highest confidence from the confidence matrix as the analyzed advanced geological prediction result, and solves the problem of inaccurate existing advanced geological prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of a method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction provided by the present invention. DETAILED DESCRIPTION

[0014] The present invention aims to solve the problem of inaccurate advanced geological prediction and provides a comprehensive analysis method of multi-dimensional parameters of advanced geological prediction. Figure 1 As shown, the following steps are included: S1. For each single-dimensional parameter, an advanced geological forecast is performed respectively to obtain an advanced geological forecast result corresponding to each single-dimensional parameter, and the membership degree of each parameter in the single-dimensional parameter and the corresponding advanced geological forecast result is determined; specifically, when performing the advanced geological forecast, a single-dimensional parameter is used, and the membership degree is used to characterize the performance of the advanced geological forecast result in terms of each specific parameter in the single-dimensional parameter; S2, taking each parameter in each single-dimensional parameter as a factor, forming all factors into a factor set, and forming all membership degrees into an evaluation matrix; S3. Set the weight of each factor in the factor set, and form a weight vector with the weights of all factors; S4. Multiply the weight vector and the evaluation matrix to obtain a confidence matrix of the advanced geological prediction result, and select the advanced geological prediction result with the highest confidence from the confidence matrix as the analyzed advanced geological prediction result.

[0015] Specifically, the single-dimensional parameters include one of basic geological information dimension parameters, construction excavation and tunneling data dimension parameters, detection and monitoring dimension parameters, advance drilling dimension parameters and geophysical field dimension parameters. The basic geological information dimension parameters include one or more of topographic parameters, stratum lithology parameters, geological structure parameters, weathering unloading parameters, groundwater parameters and ground stress state parameters. The construction excavation and tunneling data dimension parameters include one or more of drilling and blasting construction record parameters, tunneling machine parameters and slag information parameters. The detection and monitoring dimension parameters include one or more of microseismic monitoring parameters, deformation monitoring parameters, relaxation circle detection parameters, stress monitoring parameters, seepage monitoring parameters, high ground temperature monitoring parameters, radioactivity detection parameters and harmful gas detection parameters. The advance drilling dimension parameters include one or more of advance drilling borehole imaging parameters and advance cave well parameters. The geophysical field dimension parameters include one or more of seismic wave method difference parameters and electrical difference parameters. The advanced geological prediction includes one or more of whether there is a fault fracture zone, whether there is karst water and mud outbursts, whether there is soft rock, whether there is rock burst, whether there is high geothermal heat damage, whether there is radioactivity, or whether there is toxic and harmful gas.

[0016] Example

[0017] Taking basic geological information dimensional parameters, construction excavation and tunneling data dimensional parameters and geophysical field dimensional parameters, a total of three single-dimensional parameters, fault fracture zone and karst water and mud outbursts, a total of two types of advanced geological prediction as examples, the present invention is further elaborated.

[0018] Advanced geological prediction is performed using basic geological information dimension parameters to obtain advanced geological prediction results corresponding to the basic geological information dimension parameters. The basic geological information dimension parameters include stratum lithology parameters, geological structure parameters, weathering unloading parameters, and groundwater parameters.

[0019] Advanced geological prediction is performed using construction excavation and tunneling data dimensional parameters to obtain advanced geological prediction results corresponding to the construction excavation and tunneling data dimensional parameters, wherein the construction excavation and tunneling data dimensional parameters include tunneling machine parameters and slag information parameters.

[0020] Advanced geological prediction is performed using geophysical field dimensional parameters to obtain advanced geological prediction results corresponding to the geophysical field dimensional parameters, wherein the geophysical field dimensional parameters include seismic wave method difference parameters and electrical property difference parameters.

[0021] In this way, basic geological information dimensional parameters, construction excavation and tunneling data dimensional parameters and geophysical field dimensional parameters are realized, a total of three single-dimensional advanced geological predictions. However, the results of the three single-dimensional advanced geological predictions are not necessarily the same. The results of the advanced geological predictions include the presence of fault fracture zones and karst water and mud inrush, the presence of fault fracture zones and no karst water and mud inrush, the absence of fault fracture zones but karst water and mud inrush, and the absence of fault fracture zones and no karst water and mud inrush. Therefore, it is necessary to select the most accurate one from the three single-dimensional advanced geological predictions.

[0022] For the above three single-dimensional advanced geological predictions, the factor set is recorded as: ,in represents the factor set, Represents the formation lithology parameters, represents the geological structure parameters, represents the weathering unloading parameter, represents groundwater parameters, Represents the parameters of the tunnel boring machine. Indicates the rock slag information parameters, represents the difference parameter of the seismic wave method, Represents electrical difference parameters.

[0023] Each advanced geological prediction result is combined into an evaluation set, which is recorded as: ,in represents the evaluation set, Indicates the advanced geological prediction results corresponding to the basic geological information dimension parameters, It indicates the advanced geological prediction results corresponding to the construction excavation and tunneling data dimension parameters. It represents the advanced geological prediction results corresponding to the geophysical field dimension parameters. Each advanced geological prediction result in the evaluation set is consistent with the results of the three single-dimensional advanced geological predictions.

[0024] The evaluation matrix composed of the membership degree of each parameter in all single-dimensional parameters and each advanced geological prediction result is recorded as: ; in, It represents the evaluation matrix. The rows of the evaluation matrix correspond to the advanced geological prediction results one by one, and the columns of the evaluation matrix correspond to the factors one by one. The membership degree is used to characterize the performance of the advanced geological prediction results in each specific parameter in the single-dimensional parameter, and is often used in the single-factor fuzzy evaluation method.

[0025] The weight of each factor is set to obtain the weight vector of the factor set. In this embodiment, the weight vector of the factor set is: , Represents the weight vector of the factor set, respectively Factors in to One to one correspondence.

[0026] The confidence matrix of the advanced geological prediction results is obtained by multiplying the weight vector of the factor set by the evaluation matrix, that is, , Represents the confidence matrix of the advanced geological prediction results, , respectively, compared with the results of advanced geological prediction to One-to-one correspondence, the advanced geological prediction result with the highest confidence level is selected as the advanced geological prediction result after analysis, that is, the confidence level of the advanced geological prediction result corresponding to the construction excavation and tunneling data dimension parameters is as high as 0.6. Therefore, the advanced geological prediction result after analysis is the advanced geological prediction result corresponding to the construction excavation and tunneling data dimension parameters.

Claims

1. A comprehensive analysis method of multi-dimensional parameters for advanced geological prediction, characterized in that: The following steps are involved: S1. For each single-dimensional parameter, advanced geological prediction is performed respectively to obtain the advanced geological prediction result corresponding to each single-dimensional parameter, and the membership degree of each parameter in the single-dimensional parameter and the corresponding advanced geological prediction result is determined; S2, taking each parameter in each single-dimensional parameter as a factor, forming all factors into a factor set, and forming all membership degrees into an evaluation matrix; S3. Set the weight of each factor in the factor set, and form a weight vector with the weights of all factors; S4. Multiply the weight vector and the evaluation matrix to obtain a confidence matrix of the advanced geological prediction result, and select the advanced geological prediction result with the highest confidence from the confidence matrix as the analyzed advanced geological prediction result.

2. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 1, characterized in that: The single-dimensional parameters include one of basic geological information dimensional parameters, construction excavation and tunneling data dimensional parameters, detection and monitoring dimensional parameters, advance drilling dimensional parameters and geophysical field dimensional parameters.

3. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 2 is characterized in that: The basic geological information dimension parameters include one or more of topographic parameters, stratum lithology parameters, geological structure parameters, weathering unloading parameters, groundwater parameters and ground stress state parameters.

4. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 2 is characterized in that: The construction excavation and tunneling data dimension parameters include one or more of drilling and blasting construction record parameters, tunneling machine parameters and slag information parameters.

5. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 2 is characterized in that: The detection and monitoring dimension parameters include one or more of microseismic monitoring parameters, deformation monitoring parameters, relaxation circle detection parameters, stress monitoring parameters, seepage monitoring parameters, high ground temperature monitoring parameters, radioactivity detection parameters and harmful gas detection parameters.

6. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 2, characterized in that: The advanced drilling dimensional parameters include one or more of advanced drilling borehole imaging parameters and advanced cave well parameters.

7. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to claim 2, characterized in that: The geophysical field dimension parameters include one or more of seismic wave method difference parameters and electrical property difference parameters.

8. The method for comprehensive analysis of multi-dimensional parameters of advanced geological prediction according to any one of claims 1 to 7, characterized in that: The advanced geological prediction includes one or more of whether there is a fault fracture zone, whether there is karst water and mud outbursts, whether there is soft rock, whether there is rock burst, whether there is high geothermal heat damage, whether there is radioactivity, or whether there is toxic and harmful gas.

Images