Tunneling construction method based on environmental influence relation

Abstract

The invention discloses a tunneling construction method based on an environmental influence relation, and relates to the technical field of tunnel construction, and the method comprises the following steps: collecting environmental data of a construction area, the environmental parameters comprising tunnel burial depth category parameters, construction vibration conditions and construction noise conditions of the construction area; the collected data are preprocessed; constructing a construction analysis model of the tunneling speed and the environmental parameters; wherein under the condition of different tunnel burial depth categories, a first analysis model of the tunneling speed and the construction vibration condition and a second analysis model of the tunneling speed and the construction noise condition are constructed respectively; integrating the first analysis model and the second analysis model into the same coordinate system by taking the tunneling speed as a vertical coordinate and taking the ground infrastructure condition data as a horizontal coordinate, and performing visualization to form a construction analysis model; and acquiring a tunneling construction scheme based on the construction analysis model. By means of the method, vibration and noise in the tunneling process are effectively avoided or reduced, and normal advancing of construction is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel construction, and particularly to a tunneling construction method based on environmental impact relationship. Background Art

[0002] Tunneling machine construction has the advantages of high speed, safety, environmental protection, good tunnel quality, and good comprehensive economic and social benefits, and has unique advantages in hard rock tunnel construction. Rock tunnel boring machines have been widely used in tunnel construction in the fields of transportation, water conservancy, energy, etc. The speed of tunneling machine construction has a direct impact on the construction period and cost of tunnel projects. For some places with the characteristics of shallow tunnel burial depth and many facilities such as civilian houses along the ground, the excavation is difficult and the tunneling construction progress is relatively slow. Moreover, during the tunneling construction process, there are also environmental impact factors such as vibration and noise, which further increase the construction difficulty.

[0003] Chinese Patent with Publication No. CN117868861A discloses a method for controlling the shield tunneling attitude. It derives the environmental impact function and state function by collecting environmental data and state data, then constructs an objective function based on the environmental impact function and state function, obtains the optimal output value of the objective function, and finally takes the optimal output value of the objective function as a constant into the objective function to adjust the working parameters of the shield tunneling equipment according to the change of the environmental impact function, realizing the prediction and control of the shield tunneling attitude and effectively improving the accuracy of shield tunneling attitude control. However, it is impossible to avoid or reduce the impact of factors such as vibration and noise on tunneling during the tunneling process, resulting in relatively low accuracy of the acquired data and tunneling attitude control.

[0004] Therefore, it is necessary to design a tunneling construction method that can effectively avoid or reduce vibration and noise during tunneling, which is beneficial to the normal progress of construction. Summary of the Invention

[0005] In view of the problems existing in the prior art, the present invention provides a tunneling construction method based on environmental impact relationship.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0007] A tunneling construction method based on environmental impact relationships, comprising the following steps: Step S1, collecting environmental data of the construction area; wherein, the environmental parameters include the tunnel burial depth category parameters, construction vibration conditions, and construction noise conditions of the construction area; Step S2, preprocessing the collected data; Step S3, constructing a construction analysis model of tunneling speed and environmental parameters; wherein, under different tunnel burial depth categories, respectively construct a first analysis model of tunneling speed and construction vibration conditions, and a second analysis model of tunneling speed and construction noise conditions; taking the tunneling speed as the ordinate and the ground infrastructure condition data as the abscissa, integrate the first analysis model and the second analysis model into the same coordinate system and visualize them to form a construction analysis model; Step S4, obtaining a tunneling construction plan based on the construction analysis model.

[0008] Based on the above technical solution, further, in Step S1, the tunnel burial depth categories include shallow-buried tunnels, deep-buried tunnels, and ultra-deep tunnels.

[0009] Based on the above technical solution, further, in Step S1, the construction vibration conditions are monitored by vibration monitors set in the construction area, and the construction noise conditions are monitored by noise monitors set in the construction area.

[0010] Based on the above technical solution, further, in Step S2, the preprocessing includes a data selection operation, and the process is as follows: different parameter databases are established respectively based on different tunnel burial depth categories, and the parameter databases include a first database and a second database. Select at least 20 groups of construction vibration data and store them in the first database, and select at least 20 groups of construction noise data and store them in the second database; wherein, the influencing parameters of the construction vibration data and the construction noise data both include the ground infrastructure conditions.

[0011] Based on the above technical solution, further, the ground infrastructure conditions include residential houses, street lamps, and trees. Based on the construction area situation, with the determined tunneling position as the center, set a threshold radius to determine the circumferential tunneling range, count the floor area of the ground infrastructure in contact with the ground on the circumferential line, and calculate the final occupied area correction based on the set correction coefficient.

[0012] Based on the above technical solution, further, set the correction coefficient corresponding to the residential house as r1, the floor area as A1, and the corresponding occupied area correction as the product of r1 and A1; set the correction coefficient corresponding to the street lamp as r2, the floor area as A2, and the corresponding occupied area correction as the product of r2 and A3; set the correction coefficient corresponding to the tree as r3, the floor area as A3, and its corresponding occupied area correction as the product of r3 and A3.

[0013] Based on the above technical solution, further, based on the calculated occupied area correction area, vibration monitors and noise monitors are set according to different facility conditions. Among them, in the case of residential houses, the vibration monitors and noise monitors are installed inside the residential houses.

[0014] Based on the above technical solution, further, in step S3, when it is in the shallow-buried tunnel category, its weight coefficient is set to h1, and the value range of the weight coefficient h1 is [2 - 2.5].

[0015] Based on the above technical solution, further, in step S3, when it is in the deep-buried tunnel category, its weight coefficient is set to h2, and the value range of the weight coefficient h2 is [1 - 2).

[0016] Based on the above technical solution, further, in step S3, when it is in the ultra-deep tunnel category, its weight coefficient is set to h3, and the value range of the weight coefficient h3 is [0.5 - 1).

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] (1) By collecting and processing data such as vibration and noise in the construction area, the present invention constructs different analysis models according to the processing situation, and integrates these analysis models to generate the final construction analysis model. The best tunneling plan can be obtained through the results presented by the construction analysis model, thereby effectively avoiding or reducing vibration and noise during the tunneling process, which is conducive to the normal progress of the construction.

[0019] (2) The present invention is set from aspects such as vibration and noise monitoring, optimizing tunneling organization arrangement, adding noise reduction devices, etc. Vibration monitors and noise monitors are used for monitoring on the ground, studying the relationship between tunneling speed and the impact of vibration and noise on the surrounding environment, and comparing and analyzing which working conditions have the least impact on the surrounding environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flowchart of the tunneling construction method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] The present invention will be further described and explained below in conjunction with the drawings and specific embodiments. The technical features of each embodiment in the present invention can be combined correspondingly without conflict.

[0022] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following describes the specific embodiments of the present invention in detail with reference to the accompanying drawings. Many specific details are set forth in the following description to facilitate a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below. The technical features in various embodiments of the present invention can be combined correspondingly without conflict.

[0023] Embodiment 1

[0024] Combined with Figure 1 As shown, this embodiment provides a tunneling construction method based on the environmental impact relationship, which specifically includes the following steps:

[0025] Step S1: Collect the environmental data of the construction area.

[0026] In this embodiment, the TBM tunneling method is adopted. Before construction, it is necessary to determine the scope of the construction area and frame the construction area with measures such as fences to ensure construction safety and serve as a construction reminder. At the same time, multiple sensors and monitors are set up to collect and monitor the environmental parameters and parameter changes during the tunneling construction. The environmental parameters include, but are not limited to, the tunnel burial depth category parameters, construction vibration conditions, and construction noise conditions in the construction area. It should be noted that the tunnel burial depth refers to the vertical distance from the top of the tunnel excavation section to the natural ground; according to the initial stress state of the surrounding rock, the deformation and failure mode of the surrounding rock, etc., it is divided into three major categories: shallow-buried tunnels, deep-buried tunnels, and ultra-deep tunnels. Further, different surrounding rock parameters can be obtained through different tunnel burial depth conditions. Among them, the surrounding rock parameters can be obtained from the engineering site, including, but not limited to, the surrounding rock grade, uniaxial compressive strength, rock quality index, abrasion index, quartz content, slag morphology, etc. For example, the surrounding rock grade can be classified for the surrounding rock conditions of each pile number section through the on-site geological survey report.

[0027] Further, the construction vibration conditions are monitored by vibration monitors set up in the construction area, and the construction noise conditions are monitored by noise monitors set up in the construction area. It should be noted that the vibration monitors and noise monitors can be set by construction personnel at more reasonable positions according to construction experience, etc., to achieve monitoring. All the data monitored above can be transmitted to an external control terminal for monitoring.

[0028] Step S2: Preprocess the collected data; among them, the preprocessing includes data selection and data cleaning operations; this step is used to reduce the error impact of the original data on subsequent data analysis.

[0029] In this embodiment, the data selection process is as follows: different parameter databases are established based on different tunnel burial depth categories. Among them, the parameter database is stored in an external control terminal, and the parameter database includes at least a first database and a second database. And at least 20 groups of construction vibration data and at least 20 groups of construction noise data are selected. Among them, the influencing parameters of the construction vibration data and the construction noise data both include the ground infrastructure conditions. Further, the monitored construction vibration conditions and construction noise conditions are respectively stored in the first database and the second database, facilitating subsequent data calling, analysis, storage, etc.

[0030] In this embodiment, the ground infrastructure conditions include facilities such as residential houses, street lamps, and trees. Based on the construction area conditions, with the determined tunneling position as the center, according to the actual situation, a threshold radius is set to determine the circumferential tunneling range, and the floor area where the ground infrastructure on the circumferential line contacts the ground is statistically calculated. Considering that there is a certain error between the floor area and the actual occupied space of the entire infrastructure, a correction coefficient needs to be set to calculate the final corrected floor area. Among them, the correction coefficient corresponding to the residential house is set as r1, and its corresponding floor area is set as A1, that is, its corresponding corrected floor area is the product of r1 and A1; the correction coefficient corresponding to the street lamp is set as r2, and its corresponding floor area is set as A2, that is, its corresponding corrected floor area is the product of r2 and A3; the correction coefficient corresponding to the tree is set as r3, and its corresponding floor area is set as A3, that is, its corresponding corrected floor area is the product of r3 and A3. For other facilities, according to the actual situation, the floor area of other facilities is judged, and its corresponding floor area is compared with the floor areas of residential houses, street lamps, and trees. If they are relatively close, the calculation process of the closest facility is used to calculate its final corrected floor area. For example, if the floor area of a certain infrastructure is between the tree and the street lamp, the difference is calculated respectively for comparison, and the one with the smaller difference is considered the closest facility. When the differences are the same, the calculation process of any one of the facilities can be selected.

[0031] In this embodiment, based on the calculated corrected floor area, vibration monitors and noise monitors are set for different facility conditions. Specifically, in the case of residential houses, the vibration monitor and the noise monitor are set inside the residential house, preferably at the central position of the residential house; in the case of trees and street lamps, the vibration monitor and the noise monitor can be directly set at any position beside them, and the distance range for placement can be set according to the actual situation. It should be noted that the vibration monitor and the noise monitor can monitor the vibration conditions and noise conditions at the corresponding positions during the tunneling process of the tunneling machine.

[0032] In this embodiment, data cleaning mainly includes operations such as handling missing values, duplicate values, and outliers, as well as data type conversion, standardization, and normalization. Among them, when handling missing values, relevant data containing missing values can be directly deleted, the missing values can be filled using methods such as the mean, or a reasonable default value can be set for the missing values, etc.; when handling duplicate values, all duplicate data can be deleted, or a custom method can be used to handle duplicate values; when handling outliers, methods such as removal, replacement, and conversion can be used; during the normalization operation, the normalization method can be used to eliminate the influence brought by different dimensions and orders of magnitude. Commonly used methods include Min-Max normalization, Z-Score normalization, etc.

[0033] Step S3: Construct a construction analysis model for tunneling speed and environmental parameters; among them, based on the preprocessed data, under different tunnel burial depth categories, machine learning algorithms, etc. are used to construct a first analysis model for tunneling speed and construction vibration conditions, and a second analysis model for tunneling speed and construction noise conditions respectively; with the tunneling speed as the ordinate and the data of the ground infrastructure conditions as the abscissa, the first analysis model and the second analysis model are integrated into the same coordinate system and visualized to form a construction analysis model, which is convenient for simultaneously analyzing the construction vibration and noise conditions during the tunneling process. It should be noted that different conditions of the ground foundation settings can be used as the abscissa respectively, and the tunneling speed as the ordinate to generate multiple independent sub-construction analysis models, which can more clearly understand each construction condition under different conditions.

[0034] However, due to different categories, there are significant differences in the corresponding tunneling depths, surrounding rock parameters, etc. To reduce the influence brought by this difference, different weight coefficients are set for balancing. Specifically, when in the shallow-buried tunnel category, its weight coefficient is set as h1, and the value range of this weight coefficient h1 is [2 - 2.5]. Multiply this weight coefficient h1 by the corresponding analysis model, that is, expand the corresponding analysis model by h1 times. When in the deep-buried tunnel category, its weight coefficient is set as h2, and the value range of this weight coefficient h2 is [1 - 2); multiply this weight coefficient h2 by the corresponding analysis model, that is, expand the corresponding analysis model by h2 times. When in the ultra-deep tunnel category, its weight coefficient is set as h3, and the value range of this weight coefficient h3 is [0.5 - 1); multiply this weight coefficient h3 by the corresponding analysis model, that is, expand the corresponding analysis model by h3 times. It should be noted that the expanded analysis models are integrated to generate the final construction analysis model

[0035] Step S4. Obtain the optimal tunneling construction plan based on the construction analysis model. Specifically, according to the generated construction analysis model, observe the corresponding analysis results under different tunneling speeds. Under the condition of ensuring stable and safe construction, for the same ground infrastructure situation, the smaller the noise and the smaller the vibration amplitude, the more appropriate the tunneling speed. In some other embodiments, it is also possible to solve problems such as noise and vibration by adding shock-absorbing and noise-reducing devices without adjusting the tunneling speed, so as to ensure the tunneling efficiency.

[0036] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than limiting the protection scope of the present invention. Any simple modification or equivalent replacement of the technical solution of the present invention by those of ordinary skill in the art shall not depart from the essence and scope of the technical solution of the present invention.

Claims

1. A tunneling construction method based on environmental impact relationships, characterized in that: It includes the following steps: Step S1: Collect the environmental data of the construction area; among them, the environmental parameters include the tunnel burial depth category parameters, construction vibration conditions, and construction noise conditions of the construction area; Step S2: Preprocess the collected data; Step S3: Construct a construction analysis model of the tunneling speed and environmental parameters; among them, in different tunnel burial depth categories, respectively construct a first analysis model of the tunneling speed and construction vibration conditions, and a second analysis model of the tunneling speed and construction noise conditions; with the tunneling speed as the ordinate and the ground infrastructure condition data as the abscissa, integrate the first analysis model and the second analysis model into the same coordinate system and visualize them to form a construction analysis model; Step S4: Obtain a tunneling construction plan based on the construction analysis model.

2. The tunneling construction method based on environmental impact relationship according to claim 1, wherein: In step S1, the tunnel burial depth categories include shallow-buried tunnels, deep-buried tunnels, and ultra-deep tunnels.

3. The tunneling construction method based on environmental impact relationship according to claim 1, characterized in that: In step S1, the construction vibration conditions are monitored by vibration monitors set in the construction area, and the construction noise conditions are monitored by noise monitors set in the construction area.

4. A tunneling construction method based on environmental impact relationships according to claim 1, characterized in that: In step S2, the preprocessing includes a data selection operation, and the process is as follows: Establish different parameter databases based on different tunnel burial depth categories, and the parameter database includes a first database and a second database. Select at least 20 groups of construction vibration data and store them in the first database, and select at least 20 groups of construction noise data and store them in the second database; Among them, the influencing parameters of the construction vibration data and the construction noise data both include the ground infrastructure conditions.

5. A tunneling construction method based on environmental impact relationship according to claim 4, characterized in that: The ground infrastructure conditions include residential houses, street lamps, and trees. Based on the construction area conditions, with the determined tunneling position as the center, set a threshold radius to determine the circumferential tunneling range, count the floor area of the ground infrastructure in contact with the ground on the circumferential line, and calculate the final occupied area correction based on the set correction coefficient.

6. A tunneling construction method based on environmental impact relationship according to claim 5, characterized in that: Set the correction coefficient corresponding to the residential house as r1, the floor area as A1, and the corresponding occupied area correction as the product of r1 and A1; set the correction coefficient corresponding to the street lamp as r2, the floor area as A2, and the corresponding occupied area correction as the product of r2 and A3; set the correction coefficient corresponding to the tree as r3, the floor area as A3, and its corresponding occupied area correction as the product of r3 and A3.

7. A tunneling construction method based on environmental impact relationship according to claim 6, characterized in that: Based on the calculated occupied area correction, set vibration monitors and noise monitors for different facility conditions. Among them, in the case of residential houses, set the vibration monitors and noise monitors inside the residential houses.

8. A tunneling construction method based on environmental impact relationship according to claim 2, characterized in that: In step S3, when in the shallow-buried tunnel category, set its weight coefficient as h1, and the value range of the weight coefficient h1 is [2 - 2.5].

9. The tunneling construction method based on the environmental impact relationship according to claim 2, wherein: In step S3, when in the deep-buried tunnel category, set its weight coefficient as h2, and the value range of the weight coefficient h2 is [1 - 2).

10. A tunneling construction method based on environmental impact relationship according to claim 2, characterized in that: In step S3, when in the ultra-deep tunnel category, set its weight coefficient as h3, and the value range of the weight coefficient h3 is [0.5 - 1).

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