Underground engineering disease treatment material optimization method based on statistical analysis

Abstract

The invention discloses a statistical analysis-based underground engineering disease treatment material optimization method, and relates to the technical field of underground engineering, and the method comprises the following specific steps: obtaining underground engineering disease data, analyzing a treatment material according to the underground engineering disease data, and carrying out the combination according to the properties of different materials. According to the method, materials are optimized and tested through a laboratory, and the method comprises the following specific steps that the combined materials are optimized, and the combined virtual remediation materials are generated through a processor. And then processing and analyzing the different combined materials by utilizing the step 3, so that the combined remediation material is optimized and adjusted, the remediation material is processed for multiple times, and then the use state of the remediation material is simulated by utilizing an analogue simulation system, so that the cost of underground engineering in the process of researching and developing the remediation material is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of underground engineering, and specifically to an optimization method for underground engineering disease treatment materials based on statistical analysis. Background Art

[0002] Underground engineering plays an important role in modern urban construction and infrastructure development, such as subway tunnels, underground parking lots, underground shopping malls, etc. However, underground engineering is long-term under complex geological and environmental conditions, and various diseases are likely to occur, such as water leakage, cracks, corrosion, and structural deformation. These diseases not only affect the normal use of underground engineering but also may bring potential safety hazards. To solve the problems of underground engineering diseases, it is crucial to develop effective treatment materials. The traditional research and development of underground engineering disease treatment materials often rely on experience and the trial-and-error method;

[0003] However, in the process of researching and developing existing underground engineering disease treatment materials, different samples need to be developed for different treatment materials, and then the best treatment materials for underground engineering are obtained based on the samples, which leads to a relatively high cost of researching and developing treatment materials. Therefore, we propose an optimization method for underground engineering disease treatment materials based on statistical analysis. Summary of the Invention

[0004] The purpose of the present invention is to provide an optimization method for underground engineering disease treatment materials based on statistical analysis.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An optimization method for underground engineering disease treatment materials based on statistical analysis, and the specific steps are as follows:

[0006] Step 1: Obtain underground engineering disease data;

[0007] Step 2: Analyze the treatment materials according to the underground engineering disease data and combine them according to different material properties;

[0008] Step 3: Optimize and test the materials through the laboratory, and the specific steps are as follows:

[0009] (a) Optimize the combined materials, and generate virtual treatment materials after combination through a processor;

[0010] (b) Set an optimization evaluation unit, use the optimization evaluation unit to evaluate the combined virtual treatment materials, and adjust the proportion of the virtual treatment materials using the evaluation data;

[0011] (c), After adjusting and optimizing the data, construct a virtual three-dimensional underground engineering model based on the performance data of underground engineering materials and the disease data of underground engineering. Import the adjusted virtual remediation materials into the virtual three-dimensional underground engineering model, and then use the simulation system to simulate the virtual three-dimensional underground engineering model. Judge the performance of the simulated virtual remediation materials through the optimization evaluation unit, and set corresponding evaluation thresholds at the same time. When the evaluated performance data of the virtual remediation materials is greater than the evaluation threshold, then enter the next step. When the evaluated performance data of the virtual remediation materials is less than the evaluation threshold, the laboratory stores the evaluated performance data of the virtual remediation materials;

[0012] (d), Produce material samples from the virtual remediation materials whose evaluated performance data is greater than the evaluation threshold, and then conduct physical, chemical, and mechanical performance tests on the produced material samples to obtain remediation materials suitable for use in underground engineering diseases;

[0013] Step Four: Use the produced remediation materials in underground engineering, monitor the performance data of the materials, match the performance data with the simulation data in the simulation system, and then improve the follow-up of the underground engineering.

[0014] As a further solution of the present invention: In the first step, collect the disease data of the underground engineering and the geology in the underground engineering, generate corresponding data lists every ten meters in the underground engineering, and merge the data lists with a data deviation of less than one percent between each data list. When the underground engineering is in a special complex terrain, generate corresponding data lists every two meters, mark the data lists with a data deviation exceeding one percent as underground engineering disease data, and perform normalization processing on other data lists within a hundred meters of the marked data list.

[0015] As a further solution of the present invention: In the second step, obtain the material data applied to the underground engineering, match the material data with the data in the first step, and use the underground engineering disease data to analyze the application methods of different materials, so as to obtain the material data corresponding to different data in the disease data.

[0016] As a further solution of the present invention: In step three, (a) import different materials into the processor, and then use the processor to generate the ratio between different materials, thereby generating virtual remediation materials for treating underground engineering diseases. Import the generated virtual remediation materials into the optimization evaluation unit in (b), and then use the optimization evaluation unit to evaluate the generated virtual remediation materials. When the evaluation data is unqualified, the data is returned to (a). When the evaluation data is qualified, enter the next step.

[0017] As a further solution of the present invention: the optimization evaluation unit obtains the evaluation value of the virtual remediation material through a formula, and the specific formula is as follows:

[0018] S i = f1·T i1 + f2·T i2 + f3·T i3 + f4·T i4

[0019] Wherein, S i represents the evaluation value of the i-th virtual remediation material, and T i1 , T i2 , T i3 and T i4 respectively represent the strength data, durability data, impermeability data and synthetic material value data of the virtual remediation material in the underground project. f1, f2, f3 and f4 respectively represent the weight coefficients of the strength data, durability data, impermeability data and synthetic material value, so as to optimize the strength data, durability data, impermeability data and synthetic material value data of the remediation material for underground project diseases.

[0020] As a further solution of the present invention: in step (c) of step three, the optimized virtual remediation material is imported into the underground project, and the optimized virtual remediation material is simulated by using the simulation system to obtain the performance data of the virtual remediation material in the current underground project model. When cracks appear in the underground project, the simulation system is used to simulate the bonding state between the remediation material and the crack and the wall, and then the optimization evaluation unit is used to evaluate the data simulated by the simulation system again, so as to judge whether the current virtual remediation material reaches the evaluation threshold.

[0021] As a further solution of the present invention: the underground project data in step one and step two are imported into the virtual three-dimensional underground project model, and then the virtual three-dimensional underground project model and the simulation system are used to simulate the seepage data and diffusion data of the underground project.

[0022] As a further solution of the present invention: after the virtual remediation material in step three is greater than the evaluation threshold in (c), in (d), the virtual remediation material greater than the evaluation threshold is produced. After the sample of the virtual remediation material is produced, the produced remediation material is tested by using the testing equipment in the laboratory, and the test results are compared with the strength data, durability data and impermeability data in (b), so as to judge whether the two data are consistent. When the data are inconsistent, the data tested by the testing equipment are re-imported into the simulation system. When the data are consistent, the simulation data of the simulation system are exported, and then the personnel select the remediation material to be used in the underground project.

[0023] As a further solution of the present invention: after using the remediation material in the underground project in step four, monitor the data of the remediation material, and then obtain whether the data trend of the remediation material is consistent with that in the simulation system. When the data trends are consistent, step four ends. When the data trends are inconsistent, remind the personnel to readjust the remediation material.

[0024] Adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] 1. The present invention obtains the data of the underground project and materials through step one and step two, and then uses step three to process and analyze the materials after different combinations, so as to optimize and adjust the combined remediation materials, subject the remediation materials to multiple treatments, and then use the simulation system to simulate the use state of the remediation materials, reducing the cost in the process of developing the remediation materials for the underground project;

[0026] 2. The present invention collects the disease data and geology of the underground project through step one, and then uses normalization processing to integrate the data list with disease data in the underground project, so that the simulation system in step three simulates the disease trend data of the underground project, facilitating better simulation effects for the disease location and surrounding locations;

[0027] 3. The present invention evaluates the synthesized remediation materials through the optimization evaluation unit, and then judges the use state of the current remediation material corresponding to the diseases of the underground project, so as to facilitate the generation of virtual data of multiple remediation materials. Import the virtual remediation material data into the simulation system, so that the simulation system simulates the strength data, durability data and impermeability data of the virtual remediation materials, quickly simulates the data of multiple remediation materials by using the simulation system, and then improves the R & D speed of the remediation materials;

[0028] 4. After developing the virtual remediation materials through (d) in step three of the present invention, test the remediation materials to obtain the sample data of the remediation materials, match the tested sample data with the data in (b), and then judge the simulation data in the simulation system to quickly obtain the remediation materials required in the underground project.

[0029] Other advantages, objectives and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flowchart of the optimization method for the disease remediation materials of the underground project in the embodiment of the present invention;

[0031] Figure 2 It is a specific step diagram of the optimization and testing methods in the embodiments of the present invention;

[0032] Figure 3 It is a judgment flowchart of the optimization and testing methods in the embodiments of the present invention. Specific Embodiments

[0033] The following further describes the specific embodiments of the present invention in conjunction with the accompanying drawings. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not limit the present invention.

[0034] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0035] Embodiment 1:

[0036] Please refer to the attached Figure 1 - attached Figure 3 , the optimization method of the underground engineering disease treatment material based on statistical analysis of the present invention is as follows:

[0037] Step 1: Obtain underground engineering disease data;

[0038] Step 2: Analyze the treatment materials according to the underground engineering disease data and combine them according to different material properties;

[0039] Step 3: Optimize and test the materials in the laboratory, and the specific steps are as follows:

[0040] (a) Optimize the combined materials and generate virtual treatment materials after combination through a processor;

[0041] (b) Set an optimization evaluation unit, use the optimization evaluation unit to evaluate the virtual treatment materials after combination, and adjust the proportion of the virtual treatment materials using the evaluation data;

[0042] (c) After adjusting the optimization data, construct a virtual three-dimensional underground engineering model according to the underground engineering material performance data and the underground engineering disease data, import the adjusted virtual treatment materials into the virtual three-dimensional underground engineering model, and then use the simulation system to simulate the virtual three-dimensional underground engineering model. Judge the performance of the simulated virtual treatment materials through the optimization evaluation unit, and set corresponding evaluation thresholds at the same time. When the evaluation performance data of the virtual treatment materials is greater than the evaluation threshold, proceed to the next step. When the evaluation performance data of the virtual treatment materials is less than the evaluation threshold, the laboratory stores the evaluation performance data of the virtual treatment materials;

[0043] (d) Take the virtual remediation materials whose evaluated performance data is greater than the evaluation threshold to produce material samples, and then conduct physical, chemical, and mechanical performance tests on the produced material samples to obtain remediation materials suitable for use in underground engineering diseases;

[0044] Step 4: Use the produced remediation materials in underground engineering, monitor the performance data of the materials, match the performance data with the simulation data in the simulation system, and then improve the subsequent progress of the underground engineering.

[0045] Furthermore, obtain the data of the underground engineering and materials through Step 1 and Step 2, and then use Step 3 to process and analyze different combinations of materials, so as to optimize and adjust the combined remediation materials, subject the remediation materials to multiple treatments, and then use the simulation system to simulate the usage status of the remediation materials, reducing the cost in the process of developing remediation materials for underground engineering.

[0046] Example 2:

[0047] Based on Example 1, please refer to the appendix Figure 1 - Appendix Figure 3 As shown, in Step 1, collect the disease data of the underground engineering and the geology in the underground engineering, generate corresponding data lists at intervals of ten meters in the underground engineering, and merge the data lists with a data deviation of less than 1% between each data list. When the underground engineering is in a special complex terrain, generate corresponding data lists at intervals of two meters, mark the data lists with a data deviation exceeding 1% as underground engineering disease data, and perform normalization processing on other data lists within a hundred meters of the marked data list. In Step 2, obtain the material data applied to the underground engineering, match the material data with the data in Step 1, and use the underground engineering disease data to analyze the application methods of different materials, so as to obtain the material data corresponding to different data in the processed disease data.

[0048] Furthermore, collect the disease data and geology of the underground engineering through Step 1, and then use normalization processing to integrate the data lists with disease data in the underground engineering, so that the simulation system in Step 3 can simulate the disease trend data of the underground engineering, facilitating better simulation effects for the disease location and surrounding locations.

[0049] Example 3:

[0050] Based on Example 2, please refer to the appendix Figure 1 - Appendix Figure 3As shown in the figure, in step (a) of step three, different materials are imported into the processor, and then the processor generates the ratio between different materials, and then generates virtual remediation materials for treating underground engineering diseases. The generated virtual remediation materials are imported into the optimization evaluation unit in (b), and then the optimization evaluation unit evaluates the generated virtual remediation materials. When the evaluation data is unqualified, the data is returned to (a). When the evaluation data is qualified, it enters the next step. The optimization evaluation unit obtains the evaluation value of the virtual remediation materials through a formula. The specific formula is as follows:

[0051] S i = f1·T i1 + f2·T i2 + f3·T i3 + f4·T i4

[0052] Wherein, S i represents the evaluation value of the i-th virtual remediation material, and T i1 , T i2 , T i3 and T i4 respectively represent the strength data, durability data, impermeability data and synthetic material value data of the virtual remediation materials in underground engineering. f1, f2, f3 and f4 respectively represent the weight coefficients of the strength data, durability data, impermeability data and synthetic material value, so as to optimize the strength data, durability data, impermeability data and synthetic material value data of the remediation materials for underground engineering diseases.

[0053] Furthermore, the optimized evaluation unit evaluates the synthesized remediation materials, and then judges the usage status of the current remediation materials corresponding to the underground engineering diseases, so as to facilitate the generation of virtual data of various remediation materials. The virtual remediation material data is imported into the simulation system, so that the simulation system simulates the strength data, durability data and impermeability data of the virtual remediation materials, and uses the simulation system to quickly simulate the data of various remediation materials, thereby improving the R & D speed of the remediation materials.

[0054] Example 4:

[0055] Based on Example 3, please refer to the appendix Figure 1 - Appendix Figure 3As shown, in step three, in (c), the optimized virtual remediation material is imported into the underground project through the optimization evaluation unit, and the optimized virtual remediation material is simulated by the simulation system to obtain the performance data of the virtual remediation material in the current underground project model. When cracks appear in the underground project, the simulation system is used to simulate the bonding state between the remediation material and the wall of the crack, and then the optimization evaluation unit is used again to evaluate the data simulated by the simulation system, so as to judge whether the current virtual remediation material reaches the evaluation threshold. The underground project data in steps one and two are imported into the virtual three-dimensional underground project model, and then the seepage data and diffusion data of the underground project are simulated by the virtual three-dimensional underground project model and the simulation system. After the virtual remediation material in step three exceeds the evaluation threshold in (c), in (d), the virtual remediation material exceeding the evaluation threshold is produced. After producing the sample of the virtual remediation material, the produced remediation material is tested by the testing equipment in the laboratory, and the test results are compared with the strength data, durability data, and impermeability data in (b), so as to judge whether the two sets of data are consistent. When the data are inconsistent, the data tested by the testing equipment are re-imported into the simulation system. When the data are consistent, the simulation data of the simulation system are exported, and then the personnel select the remediation material to be used in the underground project. In step four, after the remediation material is used in the underground project, the data of the remediation material are monitored to obtain whether the data trend of the remediation material in the simulation system is consistent. When the data trends are consistent, step four ends. When the data trends are inconsistent, the personnel are reminded to readjust the remediation material.

[0056] Further, after the virtual remediation material is developed through (d) in step three, the remediation material is tested to obtain the sample data of the remediation material, and the tested sample data are matched with the data in (b) to judge the simulation data in the simulation system and quickly obtain the remediation material required in the underground project.

[0057] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An optimization method for underground engineering disease remediation materials based on statistical analysis, characterized in that: The specific steps are as follows: Step 1: Obtain underground engineering disease data; Step 2: Analyze the remediation materials based on the underground engineering disease data and combine them according to the properties of different materials; Step 3: Optimize and test the materials in the laboratory. The specific steps are as follows: (a) optimizing the combined material and generating a combined virtual remediation material through a processor; (b) setting an optimization evaluation unit, using the optimization evaluation unit to evaluate the combined virtual remediation materials, and using the evaluation data to adjust the proportion of the virtual remediation materials; (c) After adjusting and optimizing the data, a virtual three-dimensional underground engineering model is constructed according to the underground engineering material performance data and the underground engineering disease data, the adjusted virtual remediation materials are imported into the virtual three-dimensional underground engineering model, and then the virtual three-dimensional underground engineering model is simulated by using a simulation system, and the performance of the simulated virtual remediation materials is judged by the optimization evaluation unit, and a corresponding evaluation threshold is set at the same time. When the evaluation performance data of the virtual remediation material is greater than the evaluation threshold, the next step is entered; when the evaluation performance data of the virtual remediation material is less than the evaluation threshold, the laboratory stores the evaluation performance data of the virtual remediation material; (d) Produce material samples of virtual remediation materials whose evaluation performance data is greater than the evaluation threshold, and then conduct physical, chemical and mechanical performance tests on the produced material samples to obtain remediation materials suitable for underground engineering diseases; Step 4: Use the produced remediation materials in underground projects, monitor the performance data of the materials, match the performance data with the simulation data in the simulation system, and then make subsequent improvements to the underground projects.

2. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 1, characterized in that: In the step one, the disease data of the underground project and the geology in the underground project are collected, and a corresponding data list is generated every ten meters in the underground project, and the data lists with data deviations less than one percent between each data list are merged. When the underground project is in a special complex terrain, a corresponding data list is generated every two meters, and the data list with a data deviation exceeding one percent is marked as underground project disease data, and other data lists within a hundred meters of the data list are normalized with the marked data list.

3. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 2, characterized in that: In the step 2, material data used in underground engineering is obtained, the material data is matched with the data in step 1, and the application methods of different materials are analyzed using the underground engineering disease data, thereby obtaining material data corresponding to different data in the disease data.

4. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 3 is characterized in that: In step three, (a) imports different materials into a processor, and then uses the processor to generate a ratio between different materials, thereby generating a virtual remediation material for treating underground engineering diseases, imports the generated virtual remediation material into an optimization evaluation unit of (b), and then uses the optimization evaluation unit to evaluate the generated virtual remediation material. When the evaluation data is unqualified, the data is returned to (a); when the evaluation data is qualified, the next step is entered.

5. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 4 is characterized in that: The optimization evaluation unit obtains the evaluation value of the virtual remediation material through a formula, and the specific formula is as follows: S i =f1·T i1 +f2·T i2 +f3·T i3 +f4·T i4 Among them, S i represents the evaluation value of the i-th virtual remediation material, T i1 , T i2 , T i3 and T i4 They respectively represent the strength data, durability data, impermeability data and value of synthetic materials of virtual remediation materials in underground projects, and f1, f2, f3 and f4 respectively represent the weight coefficients of strength data, durability data, impermeability data and value of synthetic materials, thereby optimizing the strength data, durability data, impermeability data and value of synthetic materials of remediation materials for underground engineering diseases.

6. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 5 is characterized in that: In step three (c), the optimized virtual remediation material is introduced into the underground project through the optimization and evaluation unit, and the optimized virtual remediation material is simulated by the simulation system to obtain the performance data of the virtual remediation material in the current underground project model. When cracks appear in the underground project, the simulation system is used to simulate the bonding state between the remediation material and the wall, and then the optimization and evaluation unit is used again to evaluate the data simulated by the simulation system to determine whether the current virtual remediation material reaches the evaluation threshold.

7. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 6, characterized in that: The underground engineering data in step 1 and step 2 are imported into the virtual three-dimensional underground engineering model, and then the virtual three-dimensional underground engineering model and the simulation system are used to simulate the penetration data and diffusion data of the underground engineering.

8. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 7 is characterized in that: After the virtual remediation material in step three is greater than the evaluation threshold of (c), the virtual remediation material greater than the evaluation threshold is produced in (d). After the samples of the virtual remediation material are produced, the produced remediation material is tested using the testing equipment in the laboratory, and the test results are compared with the strength data, durability data and impermeability data in (b) to determine whether the two data are consistent. When the data are inconsistent, the data tested by the testing equipment is re-imported into the simulation system. When the data are consistent, the simulation data of the simulation system is exported, and then the remediation material is selected by personnel for use in underground projects.

9. The method for optimizing underground engineering disease treatment materials based on statistical analysis according to claim 8, characterized in that: In step 4, after the remediation materials are used in the underground project, the remediation material data is monitored to determine whether the remediation material data is consistent with the remediation material data in the simulation system. When the data is consistent, step 4 is terminated. When the data is inconsistent, personnel are reminded to readjust the remediation materials.

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