Intelligent design method, device and equipment for hydraulic tunnel blasting wedge-shaped underholing parameters

Abstract

The invention relates to the technical field of hydraulic tunnel blasting, in particular to an intelligent design method, device and equipment for hydraulic tunnel blasting wedge-shaped underholing parameters, and the method comprises the steps that the underholing position and the underholing size of a wedge-shaped underholing area of a hydraulic tunnel are obtained; according to the slotting position and the slotting size, slotting blasting parameters of the wedge-shaped slotting area are determined; establishing a slotting blasting calculation model and a slotting success evaluation standard of the wedge-shaped slotting area on the basis of rock stratum geological conditions and hole net size requirements of the wedge-shaped slotting area and a fracture mechanics theory; and according to the historical blasting data and the slotting blasting calculation model, slotting blasting parameters are optimized, according to the actual blasting data and the slotting success evaluation standard, the slotting effect is evaluated, and the slotting effect is fed back to the slotting blasting calculation model. Therefore, the problems that in the prior art, complex geological conditions and variable construction requirements are difficult to adapt, the blasting efficiency is low, the cavity forming effect is poor, and slotting blasting parameters cannot be dynamically adjusted and optimized are solved.

Description

Technical Field

[0001] The present application relates to the technical field of hydraulic tunnel blasting, and in particular to a method, device and equipment for intelligent design of wedge-shaped cut parameters for hydraulic tunnel blasting. Background Art

[0002] The construction of hydraulic tunnels is an indispensable part of water conservancy projects and is widely used in hydropower stations, irrigation systems, water supply projects, etc. In the construction process of these projects, slot blasting, as a common excavation method, plays a vital role.

[0003] The existing trenching design methods mainly rely on experience and simple calculations, and lack scientific and clear indicators for judging the trenching effect. Therefore, they are difficult to adapt to complex geological conditions and changing construction requirements, resulting in low blasting efficiency and poor cavity formation effect. In addition, they cannot be dynamically adjusted and optimized according to real-time construction data, making it difficult to ensure the best blasting effect during the construction process. Summary of the invention

[0004] The present application provides a method, device and equipment for intelligent design of wedge-shaped slotting parameters for hydraulic tunnel blasting, so as to solve the problems that the prior art is difficult to adapt to complex geological conditions and changing construction requirements, has low blasting efficiency, poor cavity formation effect and cannot dynamically adjust and optimize the slotting blasting parameters.

[0005] A first aspect of the present application provides an intelligent design method for wedge-shaped slotting parameters for blasting of a hydraulic tunnel, comprising the following steps: obtaining the slotting position and slotting size of the wedge-shaped slotting area of ​​the hydraulic tunnel; determining the slotting blasting parameters of the wedge-shaped slotting area according to the slotting position and slotting size; establishing a slotting blasting calculation model and slotting success evaluation criteria for the wedge-shaped slotting area based on the rock geological conditions and hole grid size requirements of the wedge-shaped slotting area, and fracture mechanics theory; optimizing the slotting blasting parameters according to historical blasting data and the slotting blasting calculation model, evaluating the slotting effect according to actual blasting data and the slotting success evaluation criteria, and feeding the slotting effect back to the slotting blasting calculation model.

[0006] Optionally, the slot blasting calculation model is:

[0007] Total trenching power time history function:

[0008] F(t)=6P(t)(L c d b cosθ+A c cosθ);

[0009] Time history function of total cut resistance:

[0010]

[0011]

[0012] Among them, F(t) is the total excavation power, Q(t) is the total excavation resistance, P(t) is the hole wall pressure, L c is the charge length, d b is the radius of the blast hole, A c is the crack expansion area, θ is the inclination angle of the cut hole, c is the cohesion of the rock, is the internal friction angle of the rock, A1 is the upper and lower surface areas of the cut cavity, A c1 (t) is the function of the crack extension area of ​​the upper and lower surfaces over time, A2 is the area of ​​the left and right surfaces of the groove cavity, and A c2 (t) is the function of the crack extension area on the left and right surfaces over time, f is the friction coefficient of the rock, σ1 is the normal stress on the upper and lower surfaces, σ2 is the normal stress on the left and right surfaces, σ t is the uniaxial ultimate tensile strength of the rock mass, A is the bottom area of ​​the groove cavity, and A c3 (t) is the bottom crack extension area as a function of time.

[0013] Optionally, the successful troughing criteria are:

[0014] F(t) ≥ Q(t);

[0015] Among them, F(t) is the total driving force of trenching, and Q(t) is the total resistance of trenching.

[0016] Optionally, determining the slot blasting parameters of the wedge-shaped slot area according to the slot position and slot size includes: obtaining blasting vibration standards; identifying surrounding rock data of the slot position; determining the slot blasting parameters of the wedge-shaped slot area according to the blasting vibration standards, surrounding rock data and slot size, wherein the slot blasting parameters meet the slot success judgment criteria.

[0017] Optionally, the slot blasting parameters include at least one of a charge amount, a slotting angle, and a hole depth. The charge amount is calculated as follows:

[0018]

[0019] Among them, Q is the single-shot charge, R is the distance from the explosion center, V is the peak vibration velocity of the particle, and K and α are parameters.

[0020] Optionally, the slot blasting parameters are optimized according to the historical blasting data and the slot blasting calculation model, including: defining the search space of the charge amount, the slot angle, and the hole depth respectively; initializing the population of the population algorithm using the historical blasting data, wherein the population is a combination of the charge amount, the slot angle, and the hole depth; iterating the population to generate a new population until a preset number of iterations is reached or the iteration is stopped according to a preset standard; and selecting the final slot blasting parameters from the population generated by the iteration.

[0021] The second aspect of the present application provides an intelligent design device for wedge-shaped groove parameters for blasting of a hydraulic tunnel, including: an acquisition module for acquiring the groove position and groove size of the wedge-shaped groove area of ​​the hydraulic tunnel; a determination module for determining the groove blasting parameters of the wedge-shaped groove area according to the groove position and groove size; an establishment module for establishing a groove blasting calculation model and groove success evaluation criteria for the wedge-shaped groove area based on the rock stratum geological conditions and hole network size requirements of the wedge-shaped groove area, and fracture mechanics theory; an optimization module for optimizing the groove blasting parameters according to historical blasting data and the groove blasting calculation model, evaluating the groove effect according to actual blasting data and the groove success evaluation criteria, and feeding the groove effect back to the groove blasting calculation model.

[0022] Optionally, the slot blasting calculation model is:

[0023] Total trenching power time history function:

[0024] F(t)=6P(t)(L c d b cosθ+A c cosθ);

[0025] Time history function of total cut resistance:

[0026]

[0027] Among them, F(t) is the total excavation power, Q(t) is the total excavation resistance, P(t) is the hole wall pressure, L c is the charge length, d b is the radius of the blast hole, A c is the crack expansion area, θ is the inclination angle of the cut hole, c is the cohesion of the rock, is the internal friction angle of the rock, A1 is the upper and lower surface areas of the cut cavity, A c1 (t) is the function of the crack extension area of ​​the upper and lower surfaces over time, A2 is the area of ​​the left and right surfaces of the groove cavity, and A c2 (t) is the function of the crack extension area on the left and right surfaces over time, f is the friction coefficient of the rock, σ1 is the normal stress on the upper and lower surfaces, σ2 is the normal stress on the left and right surfaces, σ t is the uniaxial ultimate tensile strength of the rock mass, A is the bottom area of ​​the groove cavity, and A c3 (t) is the bottom crack extension area as a function of time.

[0028] Optionally, the successful troughing criteria are:

[0029] F(t) ≥ Q(t);

[0030] Among them, F(t) is the total driving force of trenching, and Q(t) is the total resistance of trenching.

[0031] Optionally, the determination module is further used to: obtain blasting vibration standards; identify surrounding rock data of the slotting location; determine slotting blasting parameters of the wedge-shaped slotting area according to the blasting vibration standards, surrounding rock data and slotting size, wherein the slotting blasting parameters meet the slotting success judgment criteria.

[0032] Optionally, the slot blasting parameters include at least one of a charge amount, a slotting angle, and a hole depth. The charge amount is calculated as follows:

[0033]

[0034] Among them, Q is the single-shot charge, R is the distance from the explosion center, V is the peak vibration velocity of the particle, and K and α are parameters.

[0035] Optionally, the optimization module is further used to: define the search space of charge amount, groove angle, and hole depth respectively; initialize the population of the population algorithm using historical blasting data, wherein the population is a combination of charge amount, groove angle, and hole depth; iterate the population to generate a new population until a preset number of iterations is reached or the iteration is stopped according to a preset standard; and select the final groove blasting parameters from the population generated by the iteration.

[0036] The third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to execute the intelligent design method for wedge-shaped cutting parameters for hydraulic tunnel blasting as in the above-mentioned embodiment.

[0037] The fourth aspect of the present application provides a computer-readable storage medium having a computer program or instruction stored thereon, and the computer program or instruction is executed by a processor to execute the intelligent design method for wedge-shaped cutting parameters for hydraulic tunnel blasting as in the above-mentioned embodiment.

[0038] The fifth aspect of the present application provides a computer program product, including a computer program or instructions. When the computer program or instructions are executed, the method for intelligent design of wedge-shaped cutting parameters for hydraulic tunnel blasting as in the above-mentioned embodiment is implemented.

[0039] Therefore, this application has at least the following beneficial effects:

[0040] The embodiment of the present application can determine the slot blasting parameters according to the slot position and slot size of the wedge-shaped slot area of ​​the hydraulic tunnel, and establish the slot blasting calculation model and slot success evaluation criteria of the wedge-shaped slot area according to the rock geological conditions, hole mesh size requirements and fracture mechanics theory, and then optimize the slot blasting parameters through historical data and models to improve the blasting efficiency and cavity formation effect, and evaluate the slotting effect according to the actual blasting data and slot success evaluation criteria, and then feed the slotting effect back to the slot blasting calculation model, so as to achieve continuous learning and improvement of the model, dynamically adjust the slot blasting parameters, ensure the best blasting effect, and adapt to the changes in geological conditions and construction requirements, so as to provide support for the rapid construction of hydraulic tunnels in the future. Thus, the technical problems that the existing technology is difficult to adapt to complex geological conditions and changing construction requirements, the blasting efficiency is low, the cavity formation effect is poor, and the slot blasting parameters cannot be dynamically adjusted and optimized are solved.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A flow chart of a method for intelligently designing parameters of hydraulic tunnel blasting wedge cuts provided in accordance with an embodiment of the present application;

[0044] Figure 2 A schematic diagram of a theoretical calculation model for cutting grooves provided according to an embodiment of the present application;

[0045] Figure 3 A schematic diagram of a population algorithm according to an embodiment of the present application;

[0046] Figure 4 A specific flow chart of the intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters provided according to an embodiment of the present application;

[0047] Figure 5 This is an example diagram of a device for intelligently designing parameters of hydraulic tunnel blasting wedge cuts provided in accordance with an embodiment of the present application;

[0048] Figure 6 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0049] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0050] The following describes the intelligent design method, device and equipment for hydraulic tunnel blasting wedge-shaped groove cutting parameters in embodiments of the present application with reference to the accompanying drawings. In view of the fact that the existing slotting design methods mentioned in the above background technology mainly rely on experience and simple calculations, lack scientific and clear indicators for judging the slotting effect, and are therefore difficult to adapt to complex geological conditions and changeable construction requirements, resulting in low blasting efficiency and poor cavity formation effect, the present application provides an intelligent design method for wedge-shaped slotting parameters for hydraulic tunnel blasting. In this method, the slotting blasting parameters can be determined according to the slotting position and slotting size of the wedge-shaped slotting area of ​​the hydraulic tunnel, and a slotting blasting calculation model and slotting success evaluation criteria for the wedge-shaped slotting area are established according to rock geological conditions, hole network size requirements and fracture mechanics theory, and then the slotting blasting parameters are optimized through historical data and models to improve blasting efficiency and cavity formation effect, and the slotting effect is evaluated according to actual blasting data and slotting success evaluation criteria, and then the slotting effect is fed back to the slotting blasting calculation model to achieve continuous learning and improvement of the model, ensure the best blasting effect, and adapt to changes in geological conditions and construction requirements, providing support for future rapid construction of hydraulic tunnels. This solves the problems that the existing technology is difficult to adapt to complex geological conditions and changing construction requirements, has low blasting efficiency, poor cavity formation effect, and cannot dynamically adjust and optimize slot blasting parameters.

[0051] Specifically, Figure 1 A flow chart of an intelligent design method for wedge-shaped cut parameters for hydraulic tunnel blasting provided in an embodiment of the present application.

[0052] like Figure 1 As shown, the intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters includes the following steps:

[0053] In step S101, the cutting position and cutting size of the wedge-shaped cutting area of ​​the hydraulic tunnel are obtained.

[0054] The embodiment of the present application can determine the position and size parameters of the groove area according to the rock state of the tunnel face, the tunnel cycle footage planning, and the drilling construction requirements. The position of the groove area is generally located at the center of the face, and its size parameters should be determined in combination with the face lithology, tunnel cycle footage planning, drilling construction requirements and other conditions.

[0055] In step S102, the trenching blasting parameters of the wedge-shaped trenching area are determined according to the trenching position and trenching size.

[0056] Among them, the slot blasting parameters include charging amount, slotting angle, hole depth, etc.

[0057] It can be understood that, in the embodiments of the present application, the trench blasting parameters of the wedge-shaped trench area can be determined according to the trench position and trench size.

[0058] In an embodiment of the present application, slot blasting parameters of a wedge-shaped slot area are determined according to the slot position and slot size, including: obtaining a blasting vibration standard; identifying surrounding rock data of the slot position; determining slot blasting parameters of the wedge-shaped slot area according to the blasting vibration standard, surrounding rock data and slot size, wherein the slot blasting parameters meet the slot success judgment standard.

[0059] Among them, the blasting vibration standard is a standard set to limit the impact of blasting activities to prevent damage to surrounding structures. It can include vibration velocity, frequency range, distance attenuation relationship, etc. The surrounding rock data can include rock type, rock strength, surrounding rock classification, degree of fracture development, etc.

[0060] It is understandable that the embodiment of the present application can determine the slotting blasting parameters of the wedge-shaped slotting area according to the blasting vibration standard, the surrounding rock data of the slotting position and the slotting size, and the slotting blasting parameters must meet the slotting success evaluation criteria.

[0061] In the embodiment of the present application, the slot blasting parameters include at least one of the charge amount, the slotting angle, and the hole depth. The calculation formula of the charge amount is:

[0062]

[0063] Among them, Q is the single-shot charge, R is the distance from the explosion center, V is the peak vibration velocity of the particle, and K and α are parameters.

[0064] In step S103, based on the geological conditions of the rock formations and the hole size requirements of the wedge-shaped cutting area, as well as the fracture mechanics theory, a cutting blasting calculation model and a cutting success evaluation standard for the wedge-shaped cutting area are established.

[0065] It is understandable that the embodiment of the present application can establish a trenching blasting calculation model and trenching success evaluation criteria for a wedge-shaped trenching area based on the rock geological conditions and hole size requirements of the trenching area and fracture mechanics theory.

[0066] In the embodiment of the present application, the calculation model of slot blasting is:

[0067] Total trenching power time history function:

[0068] F(t)=6P(t)(L c d b cosθ+A c cosθ);

[0069] Time history function of total cut resistance:

[0070]

[0071] Among them, F(t) is the total excavation power, Q(t) is the total excavation resistance, P(t) is the hole wall pressure, L c is the charge length, d b is the radius of the blast hole, A c is the crack expansion area, θ is the inclination angle of the cut hole, c is the cohesion of the rock, is the internal friction angle of the rock, A1 is the upper and lower surface areas of the cut cavity, A c1 (t) is the function of the crack extension area of ​​the upper and lower surfaces over time, A2 is the area of ​​the left and right surfaces of the groove cavity, and A c2 (t) is the function of the crack extension area on the left and right surfaces over time, f is the friction coefficient of the rock, σ1 is the normal stress on the upper and lower surfaces, σ2 is the normal stress on the left and right surfaces, σ t is the uniaxial ultimate tensile strength of the rock mass, A is the bottom area of ​​the groove cavity, and A c3 (t) is the bottom crack extension area as a function of time.

[0072] Specifically, the embodiment of the present application is based on the geological conditions of the rock formations and the requirements for hole size, combined with the theory of fracture mechanics, to establish a calculation model and evaluation criteria for the throwing power and resistance of the rock mass broken by wedge-shaped slot blasting.

[0073] like Figure 2 As shown, it is assumed that under the action of blasting, the four surfaces of the top, bottom, left and right are shear damaged, and the bottom surface is tensile damaged. For the four surfaces of the top, bottom, left and right of the slot cavity, the resistance during the slotting process mainly includes the shear resistance during the cutting process and the friction resistance during the throwing process after the cracks are formed. The specific formula is as follows:

[0074] Shear resistance of upper and lower surfaces:

[0075] Friction resistance: f up (t) = f down (t) = fσ1A c1 (t);

[0076] Shear resistance of left and right surfaces:

[0077] Friction resistance: f left (t) = f right (t) = fσ2A c2 (t);

[0078] Tensile resistance of the bottom surface: T(t) = σ t (A3-Ac3 (t));

[0079] Rock mass cut resistance: Q(t) = 2Q up (t)+2Q left (t)sinθ+2f up (t)+2f left (t)sinθ+T(t);

[0080] Rock throwing power: F(t)=6P(t)(L c d b cosθ+A c cosθ).

[0081] The pore wall pressure time history P(t) adopts a double exponential curve, where the peak pressure P b According to isentropic expansion and calculation based on the gas polynomial equation, the load rise time t r is taken as the detonation wave propagation time.

[0082]

[0083]

[0084] Among them, ω is the load attenuation parameter; P is the explosive pressure; d c is the charge diameter; d b is the borehole diameter; γ is the isentropic index; VOD is the detonation velocity of the explosive.

[0085] In the embodiment of the present application, the criteria for judging the success of the trenching are:

[0086] F(t) ≥ Q(t);

[0087] Among them, F(t) is the total driving force of trenching, and Q(t) is the total resistance of trenching.

[0088] In addition, it should be noted that when F(t) ≥ Q(t), the slotting blasting parameters are capable of successful slotting. Within the limited range of the charge amount, when the condition max(F(t)-Q(t)) is met, the slotting effect is considered to be the best.

[0089] In step S104, slotting blasting parameters are optimized according to historical blasting data and slotting blasting calculation model, slotting effect is evaluated according to actual blasting data and slotting success evaluation criteria, and the slotting effect is fed back to the slotting blasting calculation model.

[0090] Among them, the trenching effect includes the degree of rock fragmentation after blasting, the cavity formation effect of the trenching area, and the safety assessment during the blasting process.

[0091] It can be understood that the embodiments of the present application can optimize the slotting blasting parameters according to the historical blasting data and the slotting blasting calculation model, realize the optimization of the slotting blasting parameters to improve the blasting efficiency and the cavity forming effect, and evaluate the slotting effect according to the actual blasting data and the slotting success judgment criteria, and then feed the slotting effect back to the slotting blasting calculation model, so as to realize the continuous learning and improvement of the model to adapt to the changes in geological conditions and construction requirements.

[0092] In an embodiment of the present application, slot blasting parameters are optimized according to historical blasting data and a slot blasting calculation model, including: defining search spaces for charge amount, slot angle, and hole depth respectively; initializing a population of a population algorithm using historical blasting data, wherein the population is a combination of charge amount, slot angle, and hole depth; iterating the population to generate a new population until a preset number of iterations is reached or the iteration is stopped due to a preset standard; and selecting final slot blasting parameters from the population generated by the iteration.

[0093] Among them, the preset number of iterations and the preset standard can be set according to specific circumstances, and there is no specific limitation on this. The preset standard can be that the fitness reaches a certain value.

[0094] It can be understood that the embodiments of the present application can use the population algorithm in combination with historical blasting data and the slot blasting calculation model to intelligently optimize the slot blasting parameters, specifically: define the search space for parameters such as charging amount, slotting angle, and hole depth, use historical blasting data to initialize the population of the population algorithm, and optimize the charging amount, slotting angle, hole depth and other parameters through iterative calculation to achieve the best blasting effect and reduce construction risks.

[0095] The following is a specific example to describe the intelligent design method of hydraulic tunnel blasting wedge-shaped cut parameters in the embodiment of the present application. Figure 3 As shown, the following steps are included:

[0096] Step 1: Determine the location and size parameters of the groove area.

[0097] The location and size parameters of the cut area are determined according to the rock mass state of the tunnel face, the tunnel cycle footage planning, and the drilling construction requirements. The cut area is generally located at the center of the face, and its size parameters should be determined in combination with the face lithology, tunnel cycle footage planning, drilling construction requirements and other conditions.

[0098] Step 2: Establish the calculation model and evaluation criteria for the throwing power and resistance of rock mass broken by wedge-shaped slot blasting.

[0099] Based on the geological conditions of rock formations and the requirements on hole size, combined with the theory of fracture mechanics, a calculation model and evaluation criteria for the throwing power and resistance of rock mass broken by wedge-shaped cutout blasting were established.

[0100] according to Figure 2The theoretical calculation model diagram of the groove excavation shown in the figure assumes that under the action of blasting, the four surfaces of the top, bottom, left and right are sheared and the bottom surface is tensile. For the four surfaces of the top, bottom, left and right of the groove cavity, the resistance during the groove excavation process mainly includes the shear resistance during the cutting process and the friction resistance during the throwing process after the crack is formed. The specific formula is as follows:

[0101] Shear resistance of upper and lower surfaces:

[0102] Friction resistance: f up (t) = f down (t) = fσ1A c1 (t);

[0103] Shear resistance of left and right surfaces:

[0104] Friction resistance: f left (t) = f right (t) = fσ2A c2 (t);

[0105] Tensile resistance of the bottom surface: T(t) = σ t (A3-A c3 (t));

[0106] Rock mass cut resistance: Q(t) = 2Q up (t)+2Q left (t)sinθ+2f up (t)+2f left (t)sinθ+T(t);

[0107] Rock throwing power: F(t)=6P(t)(L c d b cosθ+A c cosθ).

[0108] The pore wall pressure time history P(t) adopts a double exponential curve, where the peak pressure P b According to isentropic expansion and calculation based on the gas polynomial equation, the load rise time t r is taken as the detonation wave propagation time.

[0109]

[0110]

[0111] Among them, ω is the load attenuation parameter; P is the explosive pressure; d c is the charge diameter; d b is the borehole diameter; γ is the isentropic index; VOD is the detonation velocity of the explosive.

[0112] The criteria for judging wedge-cut blasting are as follows:

[0113] F(t) ≥ Q(t);

[0114] When the total trenching force is greater than the total resistance, it is considered that the trenching can be successfully completed.

[0115] Furthermore, the time effect should be considered when judging the evaluation criteria. Within the limited range of the charge amount, when the condition max(F(t)-Q(t)) is met, the grooving effect is considered to be the best.

[0116] Step 3: Preliminary design of blasting parameters.

[0117] Based on construction experience and actual on-site conditions, the blasting parameters such as charge amount, trenching angle, hole depth, etc. are preliminarily designed to ensure that the judgment standard that the total trenching force is greater than the total resistance is met.

[0118] Among them, the actual on-site conditions mainly include the conditions of the surrounding rock on site and the maximum amount of explosives per shot determined based on the blasting vibration standard and the Sadovsky formula, which is used as the limiting condition for the charge amount.

[0119]

[0120] In the formula, Q is the charge per shot; R is the distance from the explosion center; V is the peak vibration velocity of the particle; K and α are parameters;

[0121] Step 4: Intelligently optimize the cutting parameters.

[0122] Using population algorithms, such as Figure 4 As shown in the figure, the charging amount, cutting angle, hole depth and other cutting parameters are intelligently optimized by combining historical blasting data and cutting blasting calculation model. The search space of parameters such as charging amount, cutting angle, hole depth, etc. is defined, and the population of the population algorithm is initialized using historical blasting data. Through iterative calculation, the charging amount, cutting angle, hole depth and other parameters are optimized to achieve the best blasting effect.

[0123] Step 5: Feedback optimization model:

[0124] In actual construction, data on trenching effects are collected, including the degree of rock fragmentation after blasting, the cavity formation effect in the trenching area, safety assessment during the blasting process, etc., and fed back to the optimization model to achieve continuous learning and improvement of the model to adapt to changes in geological conditions and construction requirements.

[0125] In summary, the intelligent design method of wedge-shaped slotting parameters for blasting in hydraulic tunnels in the embodiment of the present application improves blasting efficiency and cavity formation effect by clarifying slotting blasting optimization indicators and intelligently optimizing slotting design parameters, thereby adapting to different geological conditions and construction requirements; utilizing a population algorithm combined with historical data and real-time feedback to dynamically adjust blasting parameters to ensure optimal blasting effect and reduce construction risks; providing a scientific basis for slotting design, reducing reliance on experience, and improving construction safety and reliability; realizing continuous learning and improvement of the model, being able to adapt to changes in geological conditions and construction requirements, and providing support for rapid construction of hydraulic tunnels.

[0126] According to the intelligent design method of wedge-shaped slotting parameters for hydraulic tunnel blasting proposed in the embodiment of the present application, the slotting blasting parameters can be determined according to the slotting position and slotting size of the wedge-shaped slotting area of ​​the hydraulic tunnel, and a slotting blasting calculation model and slotting success evaluation criteria for the wedge-shaped slotting area are established according to the rock geological conditions, hole network size requirements and fracture mechanics theory, and then the slotting blasting parameters are optimized through historical data and models to improve the blasting efficiency and cavity formation effect, and the slotting effect is evaluated according to the actual blasting data and slotting success evaluation criteria, and then the slotting effect is fed back to the slotting blasting calculation model to achieve continuous learning and improvement of the model, dynamically adjust the slotting blasting parameters, ensure the best blasting effect, and can adapt to changes in geological conditions and construction requirements, providing support for the rapid construction of hydraulic tunnels in the future.

[0127] Next, a device for intelligently designing wedge-shaped cutout parameters for blasting of a hydraulic tunnel according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0128] Figure 5 It is a block diagram of an intelligent design device for hydraulic tunnel blasting wedge-shaped cut parameters according to an embodiment of the present application.

[0129] like Figure 5 As shown, the hydraulic tunnel blasting wedge-shaped cut parameter intelligent design device 10 includes: an acquisition module 100, a determination module 200, an establishment module 300 and an optimization module 400.

[0130] Among them, the acquisition module 100 is used to obtain the groove position and groove size of the wedge-shaped groove area of ​​the hydraulic tunnel; the determination module 200 is used to determine the groove blasting parameters of the wedge-shaped groove area according to the groove position and groove size; the establishment module 300 is used to establish the groove blasting calculation model and groove success evaluation criteria of the wedge-shaped groove area based on the rock geological conditions and hole network size requirements of the wedge-shaped groove area, and the fracture mechanics theory; the optimization module 400 is used to optimize the groove blasting parameters according to historical blasting data and the groove blasting calculation model, evaluate the groove effect according to the actual blasting data and the groove success evaluation criteria, and feed the groove effect back to the groove blasting calculation model.

[0131] In the embodiment of the present application, the calculation model of slot blasting is:

[0132] Total trenching power time history function:

[0133] F(t)=6P(t)(L c d b cosθ+A c cosθ);

[0134] Time history function of total cut resistance:

[0135]

[0136] Among them, F(t) is the total excavation power, Q(t) is the total excavation resistance, P(t) is the hole wall pressure, L c is the charge length, d b is the radius of the blast hole, A c is the crack expansion area, θ is the inclination angle of the cut hole, c is the cohesion of the rock, is the internal friction angle of the rock, A1 is the upper and lower surface areas of the cut cavity, A c1 (t) is the function of the crack extension area of ​​the upper and lower surfaces over time, A2 is the area of ​​the left and right surfaces of the groove cavity, and A c2 (t) is the function of the crack extension area on the left and right surfaces over time, f is the friction coefficient of the rock, σ1 is the normal stress on the upper and lower surfaces, σ2 is the normal stress on the left and right surfaces, σ t is the uniaxial ultimate tensile strength of the rock mass, A is the bottom area of ​​the groove cavity, and A c3 (t) is the bottom crack extension area as a function of time.

[0137] In the embodiment of the present application, the criteria for judging the success of the trenching are:

[0138] F(t) ≥ Q(t);

[0139] Among them, F(t) is the total driving force of trenching, and Q(t) is the total resistance of trenching.

[0140] In an embodiment of the present application, the determination module 200 is further used to: obtain blasting vibration standards; identify surrounding rock data at the slotting location; determine slotting blasting parameters in the wedge-shaped slotting area based on the blasting vibration standards, surrounding rock data and slotting size, wherein the slotting blasting parameters meet the slotting success judgment criteria.

[0141] In the embodiment of the present application, the slot blasting parameters include at least one of the charge amount, the slotting angle, and the hole depth. The calculation formula of the charge amount is:

[0142]

[0143] Among them, Q is the single-shot charge, R is the distance from the explosion center, V is the peak vibration velocity of the particle, and K and α are parameters.

[0144] In an embodiment of the present application, the optimization module 400 is further used to: respectively define the search space of the charge amount, the groove angle, and the hole depth; use historical blasting data to initialize the population of the population algorithm, wherein the population is a combination of the charge amount, the groove angle, and the hole depth; iterate the population to generate a new population until a preset number of iterations is reached or the iteration is stopped due to a preset standard; and select the final groove blasting parameters from the population generated by the iteration.

[0145] It should be noted that the above explanation of the embodiment of the method for intelligent design of wedge-shaped groove parameters for hydraulic tunnel blasting is also applicable to the intelligent design device for wedge-shaped groove parameters for hydraulic tunnel blasting of this embodiment, which will not be repeated here.

[0146] According to the intelligent design device for wedge-shaped slotting parameters for blasting of hydraulic tunnels proposed in the embodiment of the present application, the slotting blasting parameters can be determined according to the slotting position and slotting size of the wedge-shaped slotting area of ​​the hydraulic tunnel, and a slotting blasting calculation model and slotting success evaluation criteria for the wedge-shaped slotting area are established according to the rock geological conditions, hole network size requirements and fracture mechanics theory, and then the slotting blasting parameters are optimized through historical data and models to improve the blasting efficiency and cavity formation effect, and the slotting effect is evaluated according to the actual blasting data and the slotting success evaluation criteria, and then the slotting effect is fed back to the slotting blasting calculation model to achieve continuous learning and improvement of the model, dynamically adjust the slotting blasting parameters, ensure the best blasting effect, and can adapt to changes in geological conditions and construction requirements, providing support for the rapid construction of hydraulic tunnels in the future.

[0147] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0148] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0149] When the processor 602 executes the program, the intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters provided in the above embodiment is implemented.

[0150] Furthermore, the electronic device further comprises:

[0151] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0152] The memory 601 is used to store computer programs that can be executed on the processor 602 .

[0153] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0154] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0155] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0156] The processor 602 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0157] The embodiment of the present application also provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed by a processor, the above-mentioned intelligent design method for wedge-shaped cutting parameters of hydraulic tunnel blasting is implemented.

[0158] The embodiment of the present application also provides a computer program product, including a computer program or instructions, which, when executed, implements the above-mentioned intelligent design method for wedge-shaped cutting parameters for hydraulic tunnel blasting.

[0159] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0160] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0161] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0162] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0163] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

Claims

1. An intelligent design method for wedge-shaped cut parameters of hydraulic tunnel blasting, characterized in that: The following steps are involved: Obtain the cut position and cut size of the wedge-shaped cut area of ​​the hydraulic tunnel; Determining the slotting blasting parameters of the wedge-shaped slotting area according to the slotting position and the slotting size; Based on the geological conditions of the rock formations and the hole size requirements of the wedge-shaped cutting area, as well as the fracture mechanics theory, a cutting blasting calculation model and a cutting success evaluation standard for the wedge-shaped cutting area are established; The slotting blasting parameters are optimized according to historical blasting data and the slotting blasting calculation model, the slotting effect is evaluated according to actual blasting data and the slotting success evaluation standard, and the slotting effect is fed back to the slotting blasting calculation model.

2. The intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters according to claim 1 is characterized in that: The calculation model of slot blasting is: Total trenching power time history function: F(t)=6P(t)(L c d b cosθ+A c cosθ); Time history function of total cut resistance: Among them, F(t) is the total driving force of trenching, Q(t) is the total resistance of trenching, P(t) is the hole wall pressure, L c is the charge length, d b is the blasthole radius, A c is the crack expansion area, θ is the inclination angle of the cut hole, c is the cohesion of the rock, is the internal friction angle of the rock, A1 is the upper and lower surface areas of the cut cavity, A c1 (t) is the function of the crack extension area of ​​the upper and lower surfaces over time, A2 is the area of ​​the left and right surfaces of the groove cavity, and A c2 (t) is the function of the crack extension area on the left and right surfaces over time, f is the friction coefficient of the rock, σ1 is the normal stress on the upper and lower surfaces, σ2 is the normal stress on the left and right surfaces, σ t is the uniaxial ultimate tensile strength of the rock mass, A is the bottom area of ​​the groove cavity, and A c3 (t) is the bottom crack extension area as a function of time.

3. The intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters according to claim 2 is characterized in that: The criteria for judging the success of the trenching are: F(t) ≥ Q(t); Among them, F(t) is the total driving force of trenching, and Q(t) is the total resistance of trenching.

4. The intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters according to claim 1 is characterized in that: Determining the slotting blasting parameters of the wedge-shaped slotting area according to the slotting position and the slotting size includes: Obtain blasting vibration standards; Identifying surrounding rock data of the cut location; The slotting blasting parameters of the wedge-shaped slotting area are determined according to the blasting vibration standard, the surrounding rock data and the slotting size, wherein the slotting blasting parameters meet the slotting success judgment standard.

5. The intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters according to claim 1 is characterized in that: The slot blasting parameters include at least one of the charge amount, the slotting angle, and the hole depth. The calculation formula of the charge amount is: Among them, Q is the single-shot charge, R is the distance from the explosion center, V is the peak vibration velocity of the particle, and K and α are parameters.

6. The method for intelligent design of wedge-shaped cut parameters for hydraulic tunnel blasting according to claim 5 is characterized in that: The optimizing the slot blasting parameters according to the historical blasting data and the slot blasting calculation model comprises: Respectively define the search space of the charge amount, the cut angle, and the hole depth; Initializing a population of a population algorithm using the historical blasting data, wherein the population is a combination of the charge amount, the cut angle, and the hole depth; Iterating the population to generate a new population until a preset number of iterations is reached or a preset standard is reached to stop the iteration; The final slotting blasting parameters are selected from the population generated by the iteration.

7. An intelligent design device for wedge-shaped cut parameters of hydraulic tunnel blasting, characterized in that: include: An acquisition module, used for acquiring the cutting position and cutting size of the wedge-shaped cutting area of ​​the hydraulic tunnel; A determination module, for determining the slotting blasting parameters of the wedge-shaped slotting area according to the slotting position and the slotting size; Establishing a module for establishing a slotting blasting calculation model and a slotting success evaluation standard for the wedge-shaped slotting area based on the rock geological conditions and hole mesh size requirements of the wedge-shaped slotting area and the fracture mechanics theory; The optimization module is used to optimize the slotting blasting parameters according to the historical blasting data and the slotting blasting calculation model, evaluate the slotting effect according to the actual blasting data and the slotting success evaluation standard, and feed back the slotting effect to the slotting blasting calculation model.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the intelligent design method for wedge-shaped cutting parameters for blasting of a hydraulic tunnel as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: The computer program or instruction is executed by a processor to implement the intelligent design method for hydraulic tunnel blasting wedge-shaped cut parameters as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed, the intelligent design method for wedge-shaped cutting parameters for blasting of a hydraulic tunnel as described in any one of claims 1 to 6 is implemented.

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