Shield tunneling parameter optimization method and system based on historical data mining

Abstract

The invention belongs to the technical field of underground engineering construction, and provides a shield tunneling parameter optimization method and system based on historical data mining, and the technical scheme is as follows: constructing a shield tunnel geologic model based on an obtained geological survey report and advanced geological forecast data; tunneling safety grading is conducted on the shield tunneling surrounding rock based on the shield tunnel geologic model, and a dynamic geologic model is obtained; based on the dynamic geologic model, the site construction environment and related specifications, set shield construction task information is obtained; according to the dynamic geologic model and set shield construction task information, corresponding shield tunneling parameter information is determined, shield tunneling efficiency under the current shield tunneling parameters is analyzed, if the shield tunneling efficiency does not reach the set level, the shield tunneling parameters are adjusted according to the shield tunneling efficiency condition under the current shield tunneling parameters, and the shield tunneling efficiency is adjusted according to the shield tunneling efficiency condition under the current shield tunneling parameters. And guiding field construction according to the optimized shield tunneling parameters. The shield tunneling efficiency is improved, and the engineering cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of underground engineering construction, and in particular relates to a shield tunneling parameter optimization method and system based on historical data mining. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] The safety of underground engineering construction and the control of its impact on the surrounding environment are becoming more and more important. The shield method has been widely used in underground engineering construction in major cities because of its fast construction speed, small impact on the surrounding environment, and high degree of mechanization. As a complex equipment with a high degree of mechanization, the performance control of the shield machine is directly related to the progress and efficiency of the project. However, there is a shortage of experienced shield machine drivers under complex geological conditions, so the intelligent improvement of shield machines is becoming a research hotspot. Among them, the control and optimization of shield machine excavation parameters is of great significance and is the key to realizing the intelligent construction of shield machines. In the process of shield construction, as a large-scale mechanical body, the shield will generate massive data during the excavation process. There is a lot of useful information in the massive data that can be used to guide actual construction and shield machine driving. Therefore, the massive historical data generated during the shield excavation process can be fully utilized to optimize the shield excavation efficiency.

[0004] Most of the current shield tunneling parameter optimization methods only consider optimizing the shield machine operating parameters, but do not consider the personnel and material aspects during the shield construction process. They cannot achieve integrated management and optimization of the three aspects of people, machines, and materials, and have limited guidance for on-site construction. Summary of the invention

[0005] In order to solve at least one technical problem existing in the above-mentioned background technology, the present invention provides a shield tunneling parameter optimization method and system based on historical data mining, which grades the excavability of the surrounding rock of the shield tunnel based on the geological modeling of the shield tunnel, analyzes the effectiveness of the shield tunneling parameters based on the classification results, adjusts the shield tunneling parameters based on the analysis results, makes auxiliary decisions, improves the shield tunneling efficiency, reduces the project cost, strengthens risk control, and ensures the safety of construction and operation.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A first aspect of the present invention provides a shield tunneling parameter optimization method based on historical data mining, comprising:

[0008] Obtain geological survey reports and advanced geological forecast data;

[0009] Based on the geological survey report and advanced geological forecast data, a shield tunnel geological model is constructed. Based on the shield tunnel geological model, the shield tunneling surrounding rock is graded for excavation safety to obtain a dynamic geological model.

[0010] Based on the dynamic geological model, on-site construction environment and relevant specifications, the set shield construction task information is obtained;

[0011] Based on the dynamic geological model and the set shield construction task information, the corresponding shield tunneling parameter information is determined, and the shield tunneling efficiency under the current shield tunneling parameters is analyzed. If the shield tunneling efficiency does not reach the set level, the shield tunneling parameters are adjusted according to the shield efficiency under the current shield tunneling parameters, and the on-site construction is guided according to the optimized shield tunneling parameters.

[0012] Furthermore, the shield tunneling surrounding rock is graded for excavation safety based on the shield tunnel geological model to obtain a dynamic geological model, including:

[0013] Based on the geological model of the shield tunnel, the influence of uniaxial compressive strength and rock integrity is comprehensively considered, and the excavation face simulation of the shield tunneling process is carried out using finite element software. The shield tunneling rock surrounding rock is graded according to safety, and the classification results are represented as classification cloud maps with different colors. The classification results are embedded in the geological model to generate a dynamic geological model.

[0014] Furthermore, the shield construction task information set based on the dynamic geological model, the on-site construction environment and relevant specifications is obtained, including:

[0015] Based on the dynamic geological model, on-site construction environment and relevant specifications, a daily shield tunneling plan is generated, and the detailed information of daily shield tunneling is stored in the corresponding container. The detailed information of daily shield tunneling is retrieved through fuzzy search and precise search methods, and the shield construction task information of the corresponding container is retrieved according to needs.

[0016] Furthermore, the analysis of shield tunneling efficiency under current geological conditions includes:

[0017] The shield tunneling speed in actual construction is compared with the planned tunneling speed in the construction task. The average rock breaking amount of the roller after each opening and cutting is compared with the theoretical wear amount and theoretical rock breaking amount of the roller under the geological conditions obtained by theoretical calculation. The comprehensive fuzzy comprehensive evaluation method is used to evaluate the shield performance and get the corresponding grade.

[0018] Furthermore, when the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is greater than or equal to the theoretical rock breaking volume, the shield performance is excellent;

[0019] When the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is less than the theoretical rock breaking volume, the shield performance is good;

[0020] When the actual excavation speed is lower than the planned excavation speed and the average rock breaking volume is lower than the theoretical rock breaking volume, the shield performance is poor.

[0021] Furthermore, adjusting the shield tunneling parameters according to the shield tunneling efficiency under the current shield tunneling parameters includes:

[0022] If the shield tunneling speed is less than the set speed threshold under the current tunneling parameters, the cutterhead torque is increased; if the average single-cutter rock breaking amount is less than the set rock breaking amount under the current tunneling parameters, the cutterhead torque is reduced;

[0023] or

[0024] If the excavation speed under the current excavation parameters is less than the set speed threshold and the surrounding rock is digable, increase the total thrust of the shield. If the excavation speed under the current excavation parameters is less than the set speed threshold but the surrounding rock is digable, give priority to other excavation parameter settings. If the average single-blade rock breaking amount under the current excavation parameters is less than the set rock breaking amount, consider reducing the total thrust of the shield.

[0025] or

[0026] If the excavation speed is less than the set speed threshold under the current excavation parameters but the excavability of the surrounding rock is poor, and increasing the total thrust of the shield machine cannot increase the excavation speed, consider increasing the cutter head speed to increase the shield excavation speed. If the average single-cutter rock breaking amount is too low under the current excavation parameters, consider reducing the shield cutter head speed.

[0027] Furthermore, the method also includes managing shield tunneling information based on the set shield construction task information, including:

[0028] According to the set shield construction task information, generate the order of the construction teams that complete the construction tasks of the day;

[0029] Generate deployment and arrangement plans for related auxiliary equipment at the construction site based on the set shield construction task information;

[0030] The dangerous operation area is obtained based on the set shield construction task information. When the construction personnel enter the dangerous operation area according to their positions, an early warning message is issued.

[0031] A second aspect of the present invention provides a shield tunneling parameter optimization system based on historical data mining, comprising:

[0032] A data acquisition module is configured to acquire geological survey reports and advanced geological forecast data;

[0033] The dynamic geological model building module is configured to build a shield tunnel geological model based on the acquired geological survey report and advanced geological forecast data, and to classify the shield tunneling surrounding rock for tunneling safety based on the shield tunnel geological model to obtain a dynamic geological model;

[0034] The task determination module is configured to obtain the set shield construction task information based on the dynamic geological model, the on-site construction environment and relevant specifications;

[0035] The tunneling parameter optimization module is configured to determine the corresponding shield tunneling parameter information based on the dynamic geological model and the set shield construction task information, analyze the shield tunneling efficiency under the current shield tunneling parameters, and if the shield tunneling efficiency does not reach the set level, adjust the shield tunneling parameters according to the shield efficiency under the current shield tunneling parameters, and guide on-site construction according to the optimized shield tunneling parameters.

[0036] A third aspect of the present invention provides a computer-readable storage medium.

[0037] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the shield tunneling parameter optimization method based on historical data mining as described above.

[0038] A fourth aspect of the present invention provides a computer device.

[0039] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the shield tunneling parameter optimization method based on historical data mining as described above are implemented.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention classifies the shield tunneling surrounding rock for excavation safety based on the shield tunnel geological model to obtain a dynamic geological model. Combined with the dynamic geological model, the shield tunneling efficiency under the current shield tunneling parameters is analyzed, the shield tunneling parameters are adjusted, auxiliary decision-making is performed, the shield tunneling efficiency is improved, the engineering cost is reduced, and the shield construction can be better guided.

[0042] 2. The method proposed in the present invention can well connect the front-end and back-end databases, and manage the three links of people, machines and materials in the shield construction area more effectively and safely.

[0043] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0045] Figure 1 It is a flow chart of a shield tunneling parameter optimization method based on historical data mining provided by an embodiment of the present invention;

[0046] Figure 2 It is a block diagram of shield tunneling parameter optimization based on historical data mining provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0048] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0049] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0050] With regard to the current shield tunneling parameter optimization methods mentioned in the background technology of the present invention, most of them only consider optimizing the shield machine operating parameters, and do not consider the personnel and material aspects in the shield construction process, and cannot achieve integrated management and optimization of the three aspects of people, machines, and materials, and have limited technical problems in guiding on-site construction. The present invention classifies the shield tunneling surrounding rock for tunneling safety based on the shield tunnel geological model, obtains a dynamic geological model, and analyzes the shield tunneling efficiency under the current shield tunneling parameters in combination with the dynamic geological model, adjusts the shield tunneling parameters, makes auxiliary decisions, improves shield tunneling efficiency, reduces engineering costs, and can better guide shield construction. It can well connect the front-end and back-end databases, and manage the three aspects of people, machines, and materials in the shield construction area more effectively and safely. Example 1

[0051] like Figure 1-Figure 2 As shown, this embodiment provides a shield tunneling parameter optimization method based on historical data mining, comprising the following steps:

[0052] Step 1: Obtain geological survey reports and advanced geological forecast data;

[0053] Step 2: Based on the geological survey report and advanced geological forecast data, a shield tunnel geological model is constructed. Based on the shield tunnel geological model, the shield tunneling surrounding rock is graded for excavation safety to obtain a dynamic geological model.

[0054] In step 2, the shield tunnel geological model is established based on the obtained geological survey report and advanced geological prediction data, and the shield tunneling surrounding rock is graded for tunneling safety based on the shield tunnel geological model, including:

[0055] Step 201: Obtain key information in the geological survey report;

[0056] The key information includes: mileage pile number, engineering geological conditions, hydrogeological conditions, distribution of adverse geological conditions, seismic resistance level, important overlying buildings, etc.

[0057] Step 202: obtaining geological information based on the geological survey report, establishing a shield tunnel geological model, and correcting and refining the shield tunnel geological model based on advanced geological prediction data;

[0058] In this embodiment, the geological model is constructed using a general modeling method, that is, visualizing the geological report data, including but not limited to BIM modeling, etc., which is not specifically limited in this embodiment.

[0059] Correction and refinement of the geological model of shield tunnels: The geological model constructed based on the geological survey report is relatively rough and has low accuracy.

[0060] During the implementation of this system, the results of advanced geological prediction during the construction process will be included, and the engineering geological conditions, hydrogeological conditions, and unfavorable geological distribution of the aforementioned geological model will be corrected based on the results of advanced geological prediction, so as to improve the accuracy of the geological model in the close distance in front of the shield tunneling construction face and ensure the real-time and accuracy of the model data.

[0061] Step 203: Based on the constructed shield tunnel geological model, the influence of uniaxial compressive strength and rock mass integrity is comprehensively considered, and the excavation face simulation of the shield tunneling process is carried out using finite element software. The shield tunneling lithology surrounding rock is classified according to safety, and the classification results are represented as classification cloud maps with different colors, and embedded into the geological model to generate a refined dynamic geological model;

[0062] Among them, the rock surrounding the shield excavation is graded according to safety, and is divided into Class I-V in sequence, with Class I being the safest and Class V being the most dangerous.

[0063] Step 3: Based on the refined dynamic geological model constructed in step 2, combined with the on-site construction environment and relevant specifications, a daily shield tunneling plan is generated, and detailed information of daily shield tunneling is stored in the corresponding container. The set shield construction task information is obtained by retrieving the corresponding container, including:

[0064] Step 301: Based on the refined dynamic geological model constructed in step 2, arrange the daily plan of shield tunneling according to relevant specifications and the conditions of on-site personnel, equipment and materials; at the same time, retrieve detailed information of daily shield tunneling through fuzzy search and precise search methods, and retrieve shield construction task information of corresponding containers according to needs;

[0065] Step 302: issuing the set shield construction task information, and reasonably arranging the construction teams to complete the construction tasks of the day in order;

[0066] The location information of construction workers carrying identification cards with positioning functions is obtained. When the construction workers enter dangerous working areas based on their locations, an early warning is issued, requiring non-related construction workers to leave the dangerous working areas immediately.

[0067] Step 303: Based on the set shield construction task information, reasonable allocation and arrangement of shield segments, grouting slurry and other materials as well as auxiliary equipment such as dump trucks, grouting carriers, gantry cranes, etc. at the construction site are achieved to reduce time conflicts and resource waste and improve construction efficiency.

[0068] Step 4: Based on the refined dynamic geological model constructed in step 2 and the shield construction task information obtained in step 3, the corresponding excavation parameter information is determined, and the shield performance is evaluated based on the excavation parameter information. If the efficiency of the excavation parameter information reaches the set level, it is fed back that the shield excavation efficiency under the geological conditions is excellent, and the excavation parameters are retained in the database. When similar geological conditions are met, it can be used as an auxiliary reference for excavation parameter setting; if the efficiency of the excavation parameter information does not reach the set level, the shield excavation efficiency analysis module reflects that the shield excavation efficiency is poor, and the excavation parameters are optimized.

[0069] The corresponding excavation parameter information includes the excavation speed of the shield during actual shield construction and the average rock breaking amount of the roller cutter after each opening and cutting;

[0070] The effectiveness of the tunneling parameter information is analyzed, specifically including: comparing the tunneling speed of the shield in actual construction with the planned tunneling speed in the construction task, comparing the average rock breaking amount of the roller after each opening and cutting, and the theoretical wear amount and theoretical rock breaking amount of the roller under the geological conditions obtained by theoretical calculation, and using a comprehensive fuzzy comprehensive evaluation method to evaluate the effectiveness of the shield, with the levels divided into excellent, good, and poor.

[0071] Among them, when the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is greater than or equal to the theoretical rock breaking volume, the shield performance is excellent;

[0072] When the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is less than the theoretical rock breaking volume, the shield performance is good;

[0073] When the actual excavation speed is less than the planned excavation speed and the average rock breaking volume is less than the theoretical rock breaking volume, the shield efficiency is poor;

[0074] If the efficiency of the excavation parameter information does not reach the set level, the excavation parameter is optimized. The optimization process includes:

[0075] The cutterhead torque of shield tunneling is set according to geological information, and the set cutterhead torque is corrected according to historical data including the average rock breaking amount and wear amount of the shield cutter. If the tunneling rate is too slow under the current tunneling parameters, the cutterhead torque can be increased; if the average single-knife rock breaking amount is too low under the current tunneling parameters, the cutterhead torque can be reduced.

[0076] Based on geological information, the total thrust of shield tunneling is set accordingly, and the set total thrust is corrected according to the historical tunneling parameter data. If the tunneling speed is too slow and the surrounding rock is well excavable under the current tunneling parameters, it is possible to consider increasing the total thrust of the shield; if the tunneling speed is too slow but the surrounding rock is poorly excavable under the current tunneling parameters, other tunneling parameter settings should be given priority; if the average single-blade rock breaking amount is too low under the current tunneling parameters, it is possible to consider reducing the total thrust of the shield.

[0077] The cutterhead speed of shield tunneling is set accordingly based on geological information. The cutterhead speed is mostly used as an auxiliary tunneling parameter for the total thrust of the shield. When considering historical data, if the tunneling speed is too slow under the current tunneling parameters but the excavation of the surrounding rock is poor, and increasing the total thrust of the shield cannot increase the tunneling speed, you can consider increasing the cutterhead speed to increase the shield tunneling speed. If the average single-cutter rock breaking volume is too low under the current tunneling parameters, you can consider reducing the cutterhead speed of the shield.

[0078] Through the above-mentioned tunneling parameter optimization module, auxiliary driving suggestions and auxiliary decision-making of tunneling parameters for shield machine driving are provided to the shield machine driver.

[0079] Step 5: Store geological information, tunneling parameter information set during shield tunneling, and the actual tunneling speed and average single-cut rock breaking volume under the parameters.

[0080] Embodiment 2

[0081] This embodiment provides a shield tunneling parameter optimization system based on historical data mining, including:

[0082] A data acquisition module is configured to acquire geological survey reports and advanced geological forecast data;

[0083] The dynamic geological model building module is configured to build a shield tunnel geological model based on the acquired geological survey report and advanced geological forecast data, and to classify the shield tunneling surrounding rock for tunneling safety based on the shield tunnel geological model to obtain a dynamic geological model;

[0084] The task determination module is configured to obtain the set shield construction task information based on the dynamic geological model, the on-site construction environment and relevant specifications;

[0085] The tunneling parameter optimization module is configured to determine the corresponding shield tunneling parameter information based on the dynamic geological model and the set shield construction task information, analyze the shield tunneling efficiency under the current shield tunneling parameters, and if the shield tunneling efficiency does not reach the set level, adjust the shield tunneling parameters according to the shield efficiency under the current shield tunneling parameters, and guide on-site construction according to the optimized shield tunneling parameters.

[0086] In the dynamic geological model construction module, the shield tunneling surrounding rock is graded for excavation safety based on the shield tunnel geological model to obtain a dynamic geological model, including:

[0087] Based on the geological model of the shield tunnel, the influence of uniaxial compressive strength and rock integrity is comprehensively considered, and the excavation face simulation of the shield tunneling process is carried out using finite element software. The shield tunneling rock surrounding rock is graded according to safety, and the classification results are represented as classification cloud maps with different colors. The classification results are embedded in the geological model to generate a dynamic geological model.

[0088] In the task determination module, the shield construction task information is obtained based on the dynamic geological model, the on-site construction environment and relevant specifications, including:

[0089] Based on the dynamic geological model, on-site construction environment and relevant specifications, a daily shield tunneling plan is generated, and the detailed information of daily shield tunneling is stored in the corresponding container. The detailed information of daily shield tunneling is retrieved through fuzzy search and precise search methods, and the shield construction task information of the corresponding container is retrieved according to needs.

[0090] In the tunneling parameter optimization module, the analysis of shield tunneling efficiency under current geological conditions includes:

[0091] The shield tunneling speed in actual construction is compared with the planned tunneling speed in the construction task. The average rock breaking amount of the roller after each opening and cutting is compared with the theoretical wear amount and theoretical rock breaking amount of the roller under the geological conditions obtained by theoretical calculation. The comprehensive fuzzy comprehensive evaluation method is used to evaluate the shield performance and get the corresponding grade.

[0092] When the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is greater than or equal to the theoretical rock breaking volume, the shield performance is excellent;

[0093] When the actual tunneling speed of the shield machine is greater than or equal to the planned tunneling speed and the average rock breaking volume is less than the theoretical rock breaking volume, the shield machine performance is good;

[0094] When the actual excavation speed is lower than the planned excavation speed and the average rock breaking volume is lower than the theoretical rock breaking volume, the shield performance is poor.

[0095] In the tunneling parameter optimization module, the shield tunneling parameters are adjusted according to the shield tunneling efficiency under the current shield tunneling parameters, including:

[0096] If the shield tunneling speed is less than the set speed threshold under the current tunneling parameters, the cutterhead torque is increased; if the average single-cutter rock breaking amount is less than the set rock breaking amount under the current tunneling parameters, the cutterhead torque is reduced;

[0097] or

[0098] If the excavation speed under the current excavation parameters is less than the set speed threshold and the surrounding rock is digable, increase the total thrust of the shield. If the excavation speed under the current excavation parameters is less than the set speed threshold but the surrounding rock is digable, give priority to other excavation parameter settings. If the average single-blade rock breaking amount under the current excavation parameters is less than the set rock breaking amount, consider reducing the total thrust of the shield.

[0099] or

[0100] If the excavation speed is less than the set speed threshold under the current excavation parameters but the excavability of the surrounding rock is poor, and increasing the total thrust of the shield machine cannot increase the excavation speed, consider increasing the cutter head speed to increase the shield excavation speed. If the average single-cutter rock breaking amount is too low under the current excavation parameters, consider reducing the shield cutter head speed.

[0101] The system further includes a tunneling information management module, which is used to manage shield tunneling information based on the set shield construction task information, including:

[0102] According to the set shield construction task information, generate the order of the construction teams that complete the construction tasks of the day;

[0103] Generate deployment and arrangement plans for related auxiliary equipment at the construction site based on the set shield construction task information;

[0104] The dangerous operation area is obtained based on the set shield construction task information. When the construction personnel enter the dangerous operation area according to their positions, an early warning message is issued.

[0105] Embodiment 3

[0106] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps in the shield tunneling parameter optimization method based on historical data mining as described above are implemented.

[0107] Embodiment 4

[0108] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps in the shield tunneling parameter optimization method based on historical data mining as described above are implemented.

[0109] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0110] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0113] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A shield tunneling parameter optimization method based on historical data mining, characterized in that: include: Obtain geological survey reports and advanced geological forecast data; Based on the geological survey report and advanced geological forecast data, a shield tunnel geological model is constructed. Based on the shield tunnel geological model, the shield tunneling surrounding rock is graded for excavation safety to obtain a dynamic geological model. Based on the dynamic geological model, on-site construction environment and relevant specifications, the set shield construction task information is obtained; Based on the dynamic geological model and the set shield construction task information, the corresponding shield tunneling parameter information is determined, and the shield tunneling efficiency under the current shield tunneling parameters is analyzed. If the shield tunneling efficiency does not reach the set level, the shield tunneling parameters are adjusted according to the shield efficiency under the current shield tunneling parameters, and the on-site construction is guided according to the optimized shield tunneling parameters.

2. The shield tunneling parameter optimization method based on historical data mining according to claim 1 is characterized in that: The shield tunneling surrounding rock is graded for excavation safety based on the shield tunnel geological model to obtain a dynamic geological model, including: Based on the geological model of the shield tunnel, the influence of uniaxial compressive strength and rock integrity is comprehensively considered, and the excavation face simulation of the shield tunneling process is carried out using finite element software. The shield tunneling rock surrounding rock is graded according to safety, and the classification results are represented as classification cloud maps with different colors. The classification results are embedded in the geological model to generate a dynamic geological model.

3. The shield tunneling parameter optimization method based on historical data mining according to claim 1, characterized in that: The shield construction task information set based on the dynamic geological model, the on-site construction environment and relevant specifications is obtained, including: Based on the dynamic geological model, on-site construction environment and relevant specifications, a daily shield tunneling plan is generated, and the detailed information of daily shield tunneling is stored in the corresponding container. The detailed information of daily shield tunneling is retrieved through fuzzy search and precise search methods, and the shield construction task information of the corresponding container is retrieved according to needs.

4. The shield tunneling parameter optimization method based on historical data mining according to claim 1, characterized in that: The analysis of shield tunneling efficiency under current geological conditions includes: The shield tunneling speed in actual construction is compared with the planned tunneling speed in the construction task. The average rock breaking amount of the roller after each opening and cutting is compared with the theoretical wear amount and theoretical rock breaking amount of the roller under the geological conditions obtained by theoretical calculation. The comprehensive fuzzy comprehensive evaluation method is used to evaluate the shield performance and get the corresponding grade.

5. The shield tunneling parameter optimization method based on historical data mining according to claim 4 is characterized in that: When the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is greater than or equal to the theoretical rock breaking volume, the shield performance is excellent; When the actual tunneling speed of the shield is greater than or equal to the planned tunneling speed and the average rock breaking volume is less than the theoretical rock breaking volume, the shield performance is good; When the actual excavation speed is lower than the planned excavation speed and the average rock breaking volume is lower than the theoretical rock breaking volume, the shield performance is poor.

6. The shield tunneling parameter optimization method based on historical data mining according to claim 1, characterized in that: The shield tunneling parameters are adjusted according to the shield tunneling efficiency under the current shield tunneling parameters, including: If the shield tunneling speed is less than the set speed threshold under the current tunneling parameters, the cutterhead torque is increased; if the average single-cutter rock breaking amount is less than the set rock breaking amount under the current tunneling parameters, the cutterhead torque is reduced; or If the excavation speed under the current excavation parameters is less than the set speed threshold and the surrounding rock is digable, increase the total thrust of the shield. If the excavation speed under the current excavation parameters is less than the set speed threshold but the surrounding rock is digable, give priority to other excavation parameter settings. If the average single-blade rock breaking amount under the current excavation parameters is less than the set rock breaking amount, consider reducing the total thrust of the shield. or If the excavation speed is less than the set speed threshold under the current excavation parameters but the excavability of the surrounding rock is poor, and increasing the total thrust of the shield machine cannot increase the excavation speed, consider increasing the cutter head speed to increase the shield excavation speed. If the average single-cutter rock breaking amount is too low under the current excavation parameters, consider reducing the shield cutter head speed.

7. The shield tunneling parameter optimization method based on historical data mining according to claim 1, characterized in that: The method further includes managing shield tunneling information based on the set shield construction task information, including: According to the set shield construction task information, generate the order of the construction teams that complete the construction tasks of the day; Generate deployment and arrangement plans for related auxiliary equipment at the construction site based on the set shield construction task information; The dangerous operation area is obtained based on the set shield construction task information. When the construction personnel enter the dangerous operation area according to their positions, an early warning message is issued.

8. The shield tunneling parameter optimization system based on historical data mining is characterized by: include: A data acquisition module is configured to acquire geological survey reports and advanced geological forecast data; The dynamic geological model building module is configured to build a shield tunnel geological model based on the acquired geological survey report and advanced geological forecast data, and to classify the shield tunneling surrounding rock for tunneling safety based on the shield tunnel geological model to obtain a dynamic geological model; The task determination module is configured to obtain the set shield construction task information based on the dynamic geological model, the on-site construction environment and relevant specifications; The tunneling parameter optimization module is configured to determine the corresponding shield tunneling parameter information based on the dynamic geological model and the set shield construction task information, analyze the shield tunneling efficiency under the current shield tunneling parameters, and if the shield tunneling efficiency does not reach the set level, adjust the shield tunneling parameters according to the shield efficiency under the current shield tunneling parameters, and guide on-site construction according to the optimized shield tunneling parameters.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the shield tunneling parameter optimization method based on historical data mining as described in any one of claims 1 to 7 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the shield tunneling parameter optimization method based on historical data mining as described in any one of claims 1 to 7 are implemented.

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