An explosive point design method based on the qualified rate of half holes

Abstract

The present invention relates to the technical field of electrical data processing, and specifically discloses a method for designing explosive positions based on the qualified rate of half-holes, including: obtaining a large number of available blasting operation examples, where the available blasting operation examples include geological conditions, blasting schemes, the qualified rate of half-holes after blasting operations, and post-blasting status information within the corresponding target blasting range; building a blasting scheme generation model based on all available blasting operation examples; generating an optimal blasting scheme based on the geological conditions within the range to be blasted and the blasting scheme generation model; regarding all explosive position design schemes in the optimal blasting scheme as the optimal explosive position design scheme; providing precise operation guidance for actual blasting operations. Reducing blasting risks and improving blasting efficiency and quality.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical data processing, and particularly relates to a method for designing explosive positions based on the qualified rate of half holes. Background Art

[0002] Currently, in the field of engineering blasting, the reasonable design of explosive positions plays a crucial role in the quality of blasting. As one of the important indicators for measuring the blasting quality, the qualified rate of half holes directly reflects the integrity and stability of the remaining rock mass after blasting. With the continuous expansion of the scale of engineering construction, blasting operations are facing increasingly complex geological conditions and higher construction requirements.

[0003] Under the existing technical conditions, the design of explosive positions often relies on the experience of engineering technicians and limited theoretical calculations. However, this method has great limitations. The physical and mechanical properties of rocks vary significantly under different geological conditions, and traditional empirical designs are difficult to accurately adapt to various complex geological environments. At the same time, due to the lack of effective integration and analysis of a large amount of blasting operation data, it is difficult to summarize general applicable rules and patterns, resulting in the design of explosive positions not being precise and optimized enough.

[0004] Therefore, the present invention proposes a method for designing explosive positions based on the qualified rate of half holes. Summary of the Invention

[0005] The present invention provides a method for designing explosive positions based on the qualified rate of half holes, which is used to provide sufficient data support for subsequent model building and scheme generation by obtaining a large number of available blasting operation examples containing rich information. By building a blasting scheme generation model based on numerous examples, the relationship and law between different geological conditions and blasting schemes can be fully learned and summarized. Generating the best blasting scheme according to the geological conditions within the range to be blasted improves the pertinence and adaptability of the scheme, ensuring that the blasting effect reaches the optimum. Determining the explosive position design scheme in the best blasting scheme as the best explosive position design scheme provides precise operation guidance for actual blasting operations. This method can improve the scientificity and accuracy of blasting schemes, reduce blasting risks, and improve blasting efficiency and quality.

[0006] The present invention provides a method for designing explosive positions based on the qualified rate of half holes, including:

[0007] S1: Obtaining a large number of available blasting operation examples, where the available blasting operation examples include the geological conditions, blasting schemes, qualified rate of half holes after blasting, and post-blasting state information within the corresponding target blasting range;

[0008] S2: Building a blasting scheme generation model based on all available blasting operation examples;

[0009] S3: Generate an optimal blasting plan based on the geological conditions and blasting plan generation model within the range to be blasted.

[0010] S4: Treat all explosive point position design plans in the optimal blasting plan as the optimal explosive point position design plan.

[0011] Preferably, for the explosive point position design method based on the semi-hole qualification rate, S1: Obtain a large number of available blasting operation examples, including:

[0012] S101: Obtain a large number of blasting operation examples, where each blasting operation example includes the geological conditions, blasting plan, semi-hole qualification rate after blasting, and post-blasting state information within the corresponding target blasting range.

[0013] S102: Treat all blasting operation examples with a semi-hole qualification rate after blasting not less than the semi-hole qualification rate threshold as all available blasting operation examples.

[0014] Preferably, for the explosive point position design method based on the semi-hole qualification rate, S2: Build a blasting plan generation model based on all available blasting operation examples, including:

[0015] S201: Extract the characteristics of the geological conditions within the corresponding target blasting range for each available blasting operation example to obtain the geological condition characteristics of each available blasting operation example.

[0016] S202: Analyze the post-blasting state information included in each available blasting operation example, and combine it with the corresponding semi-hole qualification rate after blasting to obtain the actual blasting effect evaluation value of each available blasting operation example.

[0017] S203: Treat the geological condition characteristics of each available blasting operation example as the model input quantity of a single training sample. At the same time, treat the blasting plan of each available blasting operation example as the model output quantity of the corresponding training sample, and treat the actual blasting effect evaluation value of each available blasting operation example as the confidence level of the corresponding training sample. Then, combine the neural network algorithm to build a blasting plan generation model.

[0018] Preferably, for the explosive point position design method based on the semi-hole qualification rate, S201: Extract the characteristics of the geological conditions within the corresponding target blasting range for each available blasting operation example to obtain the geological condition characteristics of each available blasting operation example, including:

[0019] Regard the spatial area corresponding to the target blasting range of each available blasting operation example as the target three-dimensional blasting area, and perform horizontal equal-spacing division on the target three-dimensional blasting area of each available blasting operation example to obtain all target sub-blasting areas of each available blasting operation example.

[0020] Extract the geological conditions of each target sub - blasting area of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance;

[0021] Based on the geological conditions of each target sub - blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub - blasting area, and generate a stratigraphic structure characteristic matrix for each target sub - blasting area based on the longitudinal stratigraphic structure characteristic parameters of each target sub - blasting area;

[0022] Sort the stratigraphic structure characteristic matrices of all target sub - blasting areas of each available blasting operation instance according to the sorting order of all target sub - blasting areas of each available blasting operation instance to obtain a stratigraphic structure characteristic matrix sequence for each available blasting operation instance;

[0023] Extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate a geological structure characteristic vector for each available blasting operation instance based on the geological structure characteristics of each available blasting operation instance;

[0024] Generate the geological condition characteristics of each available blasting operation instance based on the stratigraphic structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance.

[0025] Preferably, for the explosive point position design method based on the semi - hole qualification rate, based on the geological conditions of each target sub - blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub - blasting area, and generate a stratigraphic structure characteristic matrix for each target sub - blasting area based on the longitudinal stratigraphic structure characteristic parameters of each target sub - blasting area, including:

[0026] Based on the geological conditions of each target sub - blasting area of each available blasting operation instance, determine all longitudinal stratigraphic components within the corresponding target sub - blasting area, and determine all class structure parameters and all class component physical property parameters of each longitudinal stratigraphic component within the corresponding target sub - blasting area, and regard all class structure parameters and all class component physical property parameters of all longitudinal stratigraphic components within the corresponding target sub - blasting area as the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub - blasting area;

[0027] Generate a stratigraphic property vector for each longitudinal stratigraphic component within each target sub - blasting area based on all class structure parameters and all class component physical property parameters of each longitudinal stratigraphic component within each target sub - blasting area;

[0028] Sort the formation characteristic vectors of all longitudinal formation components within each target sub-blasting area in the order of longitudinal formation component distribution and construct a matrix to obtain the formation structure characteristic matrix of each target sub-blasting area.

[0029] Preferably, for the explosive point design method based on the semi-hole qualification rate, extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate the geological structure characteristic vector of each available blasting operation instance, including:

[0030] Extract all class joint structure characteristic parameters and all class fracture structure characteristic parameters within the corresponding target blasting range included in each available blasting operation instance as the geological structure characteristics of each available blasting operation instance;

[0031] Generate the geological structure characteristic vector of each available blasting operation instance based on all class joint structure characteristic parameters and all class fracture structure characteristic parameters included in the geological structure characteristics of each available blasting operation instance.

[0032] Preferably, for the explosive point design method based on the semi-hole qualification rate, generate the geological condition characteristics of each available blasting operation instance based on the formation structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, including:

[0033] Based on the formation structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, fit the preferential propagation path of blasting energy within the target blasting area of each available blasting operation instance;

[0034] Refine the characteristics of the formation structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance to obtain the basic geological condition characteristics of each available blasting operation instance;

[0035] Regard both the basic geological condition characteristics and the preferential propagation path of blasting energy of each available blasting operation instance as the geological condition characteristics of each available blasting operation instance.

[0036] Preferably, for the explosive point design method based on the semi-hole qualification rate, based on the formation structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, fit the preferential propagation path of blasting energy within the target blasting area of each available blasting operation instance, including:

[0037] Based on the multi-dimensional feature fusion method, all the formation structure feature matrices in the formation structure feature matrix sequence of each available blasting operation instance are simultaneously merged row by row to obtain the formation structure feature dimension reduction matrix sequence of each available blasting operation instance;

[0038] Summarize all the row vectors with the same row ordinal number in all the formation structure feature dimension reduction matrices in the formation structure feature dimension reduction matrix sequence of each available blasting operation instance as all the single formation structure feature vectors of all the target sub-blasting areas of each available blasting operation instance;

[0039] Input all the single formation structure feature vectors and geological structure feature vectors with the same longitudinal component sorting value of each available blasting operation instance into the blasting energy priority propagation area screening model, and screen out the blasting energy priority propagation areas corresponding to the longitudinal component sorting value in all the target sub-blasting areas within the target blasting area of each available blasting operation instance;

[0040] Based on the blasting energy priority propagation areas of all the longitudinal component sorting values, roughly fit the blasting energy priority propagation path in the target blasting area of the corresponding available blasting operation instance.

[0041] Preferably, for the explosive point position design method based on the semi-hole qualification rate, S202: Analyze the post-blasting state information included in each available blasting operation instance, and combine the corresponding semi-hole qualification rate after the blasting operation to obtain the actual blasting effect evaluation value of each available blasting operation instance, including:

[0042] Extract the target blasting range of each available blasting operation instance from the target blasting effect of each available blasting operation instance;

[0043] Extract the actual blasting range, the number of flying rocks, the distance of all flying rocks, and the vibration sensing area from the post-blasting state information included in each available blasting operation instance;

[0044] Based on the target blasting range, the actual blasting range, the number of flying rocks, the distance of all flying rocks, the vibration sensing area of each available blasting operation instance, and the corresponding semi-hole qualification rate after the blasting operation, calculate the actual blasting effect evaluation value of each available blasting operation instance:

[0045]

[0046] In the formula, E BP is the actual blasting effect evaluation value of the currently calculated available blasting operation instance, α1 is the calculation weight of the blasting range, R ab is the actual blasting range of the currently calculated available blasting operation instance, R tbis the target blasting range of the available blasting operation instances for the current calculation, Δ(R ab -R tb ) is the sum of the area where the actual blasting range of the available blasting operation instances for the current calculation exceeds the target blasting range and the area where the target blasting range exceeds the actual blasting range, α2 is the calculation weight for the flying rock situation, n is the number of flying rocks of the available blasting operation instances for the current calculation, d isf is the distance of the i-th flying rock of the available blasting operation instances for the current calculation, D 0sf is the preset standard parameter for the flying rock situation; α3 is the calculation weight for the vibration sensing area, S sv is the vibration sensing area of the available blasting operation instances for the current calculation, S 0sv is the preset standard vibration sensing area, α4 is the calculation weight for the semi-hole qualification rate, γ hh is the semi-hole qualification rate after the blasting operation of the available blasting operation instances for the current calculation.

[0047] Preferably, for the explosive point design method based on the semi-hole qualification rate, S3: Generate the optimal blasting plan based on the geological conditions and the blasting plan generation model within the range to be blasted, including:

[0048] S301: Extract the characteristics of the geological conditions within the range to be blasted to obtain the geological condition characteristics within the range to be blasted;

[0049] S302: Input the geological condition characteristics within the range to be blasted into the blasting plan generation model to obtain the optimal blasting plan.

[0050] The beneficial effects of the present invention compared with the prior art are as follows: By obtaining a large number of available blasting operation instances containing rich information, it provides sufficient data support for subsequent model construction and plan generation. Building a blasting plan generation model based on numerous instances can fully learn and summarize the relationships and laws between different geological conditions and blasting plans. Generating the optimal blasting plan according to the geological conditions within the range to be blasted improves the pertinence and adaptability of the plan, ensuring that the blasting effect reaches the best. Determining the explosive point design plan in the optimal blasting plan as the optimal explosive point design plan provides precise operation guidance for actual blasting operations. This method can improve the scientificity and accuracy of the blasting plan, reduce the blasting risk, and improve the blasting efficiency and quality.

[0051] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will become apparent from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0052] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments. Brief Description of the Drawings

[0053] The drawings are used to provide a further understanding of the present invention and form a part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0054] Figure 1 is a flowchart of the explosive point design method based on the semi-hole qualification rate in the embodiment of the present invention;

[0055] Figure 2 is a flowchart of the specific implementation steps of step S1 in the embodiment of the present invention;

[0056] Figure 3 is a flowchart of the specific implementation steps of step S2 in the embodiment of the present invention;

[0057] Figure 4 is a flowchart of the specific implementation steps of step S3 in the embodiment of the present invention. Detailed Description of the Preferred Embodiments

[0058] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0059] Embodiment 1:

[0060] The present invention provides an explosive point design method based on the semi-hole qualification rate. Referring to Figure 1 , including:

[0061] S1: Obtain a large number of available blasting operation examples, where the available blasting operation examples include the geological conditions, blasting schemes, semi-hole qualification rates after blasting operations, and post-blasting state information within the corresponding target blasting range;

[0062] S2: Build a blasting scheme generation model based on all available blasting operation examples;

[0063] S3: Generate an optimal blasting scheme based on the geological conditions and the blasting scheme generation model within the range to be blasted;

[0064] S4: Regard all the explosive point design schemes in the optimal blasting scheme as the optimal explosive point design scheme.

[0065] In this embodiment, the available blasting operation examples include complete blasting operation cases that meet specific requirements (such as the semi-hole qualification rate is not less than the threshold) for the geological conditions, blasting schemes, semi-hole qualification rates after blasting operations, and post-blasting state information within the target blasting range. For example, a blasting operation in a certain mine with complete relevant data and information that meet the conditions can be used as an available blasting operation example.

[0066] In this embodiment, the target blasting range: the area range where blasting operations are expected to be carried out as preset. Example: In a building demolition project, the area where the designated building to be demolished by blasting is located.

[0067] In this embodiment, the geological conditions within the target blasting range: the geological related situations within this specific area of the target blasting range, such as formation structure, geological composition, geological structure, etc. Example: including rock hardness, soil layer thickness, presence of faults, etc.

[0068] In this embodiment, the blasting plan: the specific plan and arrangement for blasting operations, including explosive type, explosive quantity, explosive point setting, initiation method, etc. Example: using emulsion explosives, with a total explosive quantity of several kilograms, and adopting staged initiation, etc.

[0069] In this embodiment, the qualified rate of semi - holes after blasting: the proportion of the number of holes that meet the semi - hole requirements (such as complete semi - hole shape, qualified size, etc.) to the total number of holes after blasting. Example: After one blasting, 80 out of 100 holes meet the semi - hole standard, and the qualified rate of semi - holes is 80%.

[0070] In this embodiment, the post - blasting status information: the relevant situations after the blasting operation, such as the actual blasting range, the number of flying rocks, the distance of flying rocks, the vibration sensing area, etc. Example: The actual blasting range exceeds the target range, 5 flying rocks are generated, and the maximum distance of the flying rock is 100 meters, etc.

[0071] In this embodiment, the blasting plan generation model: a model that can generate the best blasting plan according to the input geological condition characteristics through learning and analyzing a large number of available blasting operation examples. Example: A model constructed based on neural network algorithms that can output the best blasting plan according to the input geological characteristics.

[0072] In this embodiment, the best blasting plan: the optimal blasting plan output by the blasting plan generation model. Example: A plan that performs best in terms of safety, blasting effect, etc.

[0073] In this embodiment, the explosive point design plan: the specific plan for determining the positions of explosives. Example: Mark the coordinates of each explosive placement point within the target blasting area.

[0074] The beneficial effects of the above technology are as follows: By obtaining a large number of available blasting operation examples containing rich information, it provides sufficient data support for subsequent model construction and plan generation. Based on numerous examples, a blasting plan generation model is constructed, which can fully learn and summarize the relationships and laws between different geological conditions and blasting plans. According to the geological conditions within the blasting range to be blasted, the optimal blasting plan is generated, improving the pertinence and adaptability of the plan and ensuring that the blasting effect reaches the optimum. The explosive point design plan in the optimal blasting plan is determined as the optimal explosive point design plan, providing precise operation guidance for actual blasting operations. This method can improve the scientificity and accuracy of the blasting plan, reduce blasting risks, and improve blasting efficiency and quality.

[0075] Embodiment 2:

[0076] Based on the explosive point design method based on the semi-hole qualification rate on the basis of Embodiment 1, S1: Obtain a large number of available blasting operation examples and refer to Figure 2 , including:

[0077] S101: Obtain a large number of blasting operation examples, where the blasting operation examples include the geological conditions, blasting plans, semi-hole qualification rates after blasting operations, and post-blasting state information within the corresponding target blasting range;

[0078] S102: Consider all blasting operation examples with a semi-hole qualification rate after blasting not less than the semi-hole qualification rate threshold as all available blasting operation examples.

[0079] In this embodiment, the semi-hole qualification rate threshold is a preset standard value used to screen available blasting operation examples. Only blasting operation examples with a semi-hole qualification rate after blasting not less than this threshold will be regarded as available blasting operation examples for subsequent analysis, model training, and other operations. For example, assume that the semi-hole qualification rate threshold is set at 70%. Then, blasting operation examples with a semi-hole qualification rate reaching or exceeding 70% will be included in the available range.

[0080] The beneficial effects of the above technology include: By obtaining a large number of blasting operation examples, the data source is broadened, providing rich samples for subsequent screening. Setting the semi-hole qualification rate threshold to screen out available blasting operation examples with qualified semi-hole qualification rates ensures the quality and reliability of the selected data. Only selecting examples that meet the semi-hole qualification rate requirements helps to improve the accuracy and effectiveness of subsequent model construction and plan generation. It can focus on successful and high-quality blasting operation cases, providing more valuable references for generating the optimal blasting plan. It improves the quality and effectiveness of the data, laying a solid foundation for subsequent blasting plan design.

[0081] Embodiment 3:

[0082] Based on Example 1, a method for designing explosive positions based on the qualified rate of half-holes, S2: Build a blasting plan generation model based on all available blasting operation examples, referring to Figure 3 , including:

[0083] S201: Extract the characteristics of the geological conditions within the corresponding target blasting range included in each available blasting operation example to obtain the geological condition characteristics of each available blasting operation example;

[0084] S202: Analyze the post-blasting status information included in each available blasting operation example, and combine it with the qualified rate of half-holes after the corresponding blasting operation to obtain the actual blasting effect evaluation value of each available blasting operation example;

[0085] S203: Use the geological condition characteristics of each available blasting operation example as the model input quantity of a single training sample. At the same time, use the blasting plan of each available blasting operation example as the model output quantity of the corresponding training sample, and use the actual blasting effect evaluation value of each available blasting operation example as the confidence level of the corresponding training sample. Combine with the neural network algorithm to build a blasting plan generation model.

[0086] In this embodiment, the actual blasting effect evaluation value of the available blasting operation example: A numerical value calculated comprehensively through a specific formula for measuring the blasting effect of each available blasting operation example. This numerical value takes into account multiple factors such as the blasting range, flying rock situation, vibration sensing area, and the qualified rate of half-holes. Example: According to the formula, the actual blasting effect evaluation value of a certain available blasting operation example is calculated to be 0.85. The higher the numerical value, the better the blasting effect.

[0087] In this embodiment, use the geological condition characteristics of each available blasting operation example as the model input quantity of a single training sample. At the same time, use the blasting plan of each available blasting operation example as the model output quantity of the corresponding training sample, and use the actual blasting effect evaluation value of each available blasting operation example as the confidence level of the corresponding training sample. Combine with the neural network algorithm to build a blasting plan generation model: This describes the process of building a blasting plan generation model. Use the geological condition characteristics of each available blasting operation example as the data for the model to learn, the corresponding blasting plan as the result that the model should output, and the actual blasting effect evaluation value to represent the reliability of the training sample. Use these data and combine with the neural network algorithm for training and adjustment, so as to build a model that can generate a blasting plan according to the geological conditions. Example: For example, there are multiple available blasting operation examples. Input their geological condition characteristics into the model one by one, expecting the model to output the corresponding blasting plan. At the same time, judge the learning effect and reliability of the model based on the actual blasting effect evaluation value, and continuously optimize the model until an effective blasting plan generation model is built.

[0088] The beneficial effects of the above technology include: By extracting the characteristics of geological conditions, the key information of geological conditions can be accurately converted into features available for model training. Combining the analysis of the semi-hole qualification rate to analyze the post-blasting status information, the actual blasting effect evaluation value is obtained, providing more comprehensive feedback for model training. Using the geological condition characteristics as the input quantity, the blasting plan as the output quantity, and introducing the actual blasting effect evaluation value as the confidence level makes the model training more scientific and accurate. Based on the neural network algorithm, a blasting plan generation model is built, which can fully learn and fit the complex relationship between geological conditions and blasting plans. It improves the accuracy and reliability of the blasting plan generation model, providing strong technical support for generating better blasting plans.

[0089] Example 4:

[0090] Based on the explosive point position design method based on the semi-hole qualification rate in Example 3, S201: Extract the characteristics of the geological conditions within the corresponding target blasting range included in each available blasting operation instance to obtain the geological condition characteristics of each available blasting operation instance, including:

[0091] Regard the spatial area corresponding to the target blasting range corresponding to each available blasting operation instance as the target three-dimensional blasting area, and perform lateral equal-spacing division on the target three-dimensional blasting area of each available blasting operation instance to obtain all target sub-blasting areas of each available blasting operation instance;

[0092] Extract the geological conditions of each target sub-blasting area of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance;

[0093] Based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub-blasting area, and generate a stratigraphic structure characteristic matrix for each target sub-blasting area based on the longitudinal stratigraphic structure characteristic parameters of each target sub-blasting area;

[0094] According to the sorting order of all target sub-blasting areas of each available blasting operation instance, sort the stratigraphic structure characteristic matrices of all target sub-blasting areas of each available blasting operation instance to obtain the stratigraphic structure characteristic matrix sequence of each available blasting operation instance;

[0095] Extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate a geological structure characteristic vector for each available blasting operation instance based on the geological structure characteristics of each available blasting operation instance;

[0096] Generate the geological condition features of each available blasting operation instance based on the formation structure feature matrix sequence and geological structure feature vector of each available blasting operation instance.

[0097] In this embodiment, the target three-dimensional blasting area of each available blasting operation instance is divided transversely at equal intervals to obtain all target sub-blasting areas of each available blasting operation instance: the three-dimensional area to be blasted in each available blasting operation instance is divided transversely at equal intervals, and each resulting part is the target sub-blasting area. For example, if the target three-dimensional blasting area is a cuboid and is divided transversely into 5 parts at equal intervals, then 5 target sub-blasting areas are obtained.

[0098] In this embodiment, the longitudinal formation structure feature parameters of the target sub-blasting area: parameters describing the composition, structure, physical properties, etc. of the geological layers in the target sub-blasting area in the longitudinal direction. For example, it includes parameters such as the rock type of the formation, the thickness of the rock layer, and the rock hardness.

[0099] In this embodiment, the formation structure feature matrix of the target sub-blasting area: a matrix constructed based on the longitudinal formation structure feature parameters of the target sub-blasting area, used to characterize the formation structure features of this area. For example, the elements in the matrix may correspond to different formation structure feature values, and through the matrix, the formation characteristics of the area can be represented more intuitively and systematically.

[0100] In this embodiment, the geological structure features of the available blasting operation instance: the characteristics regarding the geological structure in the available blasting operation instance, such as the structural feature parameters of joints and fractures, etc. For example, the strike and density of joints, the length and width of fractures, etc.

[0101] In this embodiment, the geological structure feature vector of the available blasting operation instance: the geological structure features of the available blasting operation instance are transformed into vector form through a certain method for easy processing and analysis in the model. For example, a vector composed of a set of numerical values is used to represent each parameter in the geological structure features.

[0102] The beneficial effects of the above technology include: dividing the target blasting area horizontally at equal intervals, which can analyze the geological conditions of different sub-areas more meticulously. Extracting the geological conditions of each sub-blasting area ensures a comprehensive consideration of geological information. Determining the longitudinal stratigraphic structure characteristic parameters and generating a stratigraphic structure characteristic matrix can accurately describe the stratigraphic structure in matrix form. Sorting the stratigraphic structure characteristic matrix to obtain a matrix sequence facilitates subsequent processing and analysis. Extracting geological structure characteristics and generating characteristic vectors further enriches the description of geological conditions. Synthesizing the stratigraphic structure characteristic matrix sequence and geological structure characteristic vectors to generate geological condition characteristics makes the expression of geological conditions more comprehensive and accurate. It improves the accuracy and integrity of geological condition feature extraction and provides a better data basis for the training and optimization of the blasting scheme generation model.

[0103] Example 5:

[0104] Based on the explosive point design method based on the semi-hole qualification rate in Example 4, and based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters corresponding to each target sub-blasting area, and generate a stratigraphic structure characteristic matrix for each target sub-blasting area based on the longitudinal stratigraphic structure characteristic parameters of each target sub-blasting area, including:

[0105] Based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine all the longitudinal stratigraphic components within the corresponding target sub-blasting area, determine all the class structure parameters and all the class component physical property parameters of each longitudinal stratigraphic component within the corresponding target sub-blasting area, and regard all the class structure parameters and all the class component physical property parameters of all the longitudinal stratigraphic components within the corresponding target sub-blasting area as the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub-blasting area;

[0106] Generate a stratigraphic property vector for each longitudinal stratigraphic component within each target sub-blasting area based on all the class structure parameters and all the class component physical property parameters of each longitudinal stratigraphic component within each target sub-blasting area;

[0107] Sort the stratigraphic property vectors of all the longitudinal stratigraphic components within each target sub-blasting area in the order of longitudinal stratigraphic component distribution and construct a matrix to obtain the stratigraphic structure characteristic matrix of each target sub-blasting area.

[0108] In this embodiment, all the longitudinal stratigraphic components within the target sub-blasting area: the components of different geological layers distributed along the longitudinal direction in the target sub-blasting area. For example, it may include sandstone layers, shale layers, limestone layers, etc.

[0109] In this embodiment, all types of structural parameters and all types of component physical property parameters of the longitudinal formation components: various parameter categories that describe the longitudinal formation components in terms of structure (such as rock layer thickness, rock layer inclination, etc.) and physical properties (such as rock hardness, density, etc.). Example: The structural parameters may include the number of rock layers and the thickness of each layer, and the physical property parameters may include the compressive strength of the rock, porosity, etc.

[0110] In this embodiment, a formation characteristic vector of each longitudinal formation component in each target sub-blasting area is generated based on all types of structural parameters and all types of component physical property parameters of each longitudinal formation component in each target sub-blasting area: According to the above-mentioned structural parameters and physical property parameters, they are transformed into a vector form that can characterize the characteristics of this longitudinal formation component through a specific method or algorithm. Example: Suppose there are 5 structural parameters and physical property parameters of a longitudinal formation component, with values of 1, 2, 3, 4, and 5 respectively. Then these values can be combined into a vector [1, 2, 3, 4, 5] as the formation characteristic vector of this formation component.

[0111] In this embodiment, the formation characteristic vectors of all longitudinal formation components in each target sub-blasting area are sorted according to the longitudinal formation component distribution order and a matrix is constructed to obtain the formation structure characteristic matrix of each target sub-blasting area: According to the distribution order of the formation components in the longitudinal direction, the generated formation characteristic vectors are arranged, and then combined into a matrix form. This matrix reflects the formation structure characteristics of this target sub-blasting area. Example: Suppose there are 3 longitudinal formation components, and their formation characteristic vectors are [1, 2, 3], [4, 5, 6], and [7, 8, 9] respectively. The matrix constructed in order may be:

[0112]

[0113] The beneficial effects of the above technologies include: being able to comprehensively determine the longitudinal formation components in the target sub-blasting area and their various types of structural parameters and component physical property parameters, fully covering geological information. By generating the formation characteristic vector of each longitudinal formation component, the characteristics of the formation component are accurately described in vector form. Sorting the formation characteristic vectors and constructing a matrix to form a systematic expression of the formation structure of the target sub-blasting area. This matrix construction method helps to more clearly and intuitively present the formation structure characteristics, facilitating subsequent calculations and analyses. It improves the accuracy and standardization of the description of the formation structure characteristics, providing a more reliable basis for the generation of the blasting plan. It enhances the understanding and grasp of the geological conditions in the blasting area, which is beneficial to optimizing the design of explosive positions and the blasting plan.

[0114] Embodiment 6:

[0115] Based on Example 4, for the explosive point design method based on the semi-hole qualification rate, extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate the geological structure feature vector of each available blasting operation instance, including:

[0116] Extract all types of joint structure characteristic parameters and all types of fissure structure characteristic parameters in the geological conditions within the corresponding target blasting range included in each available blasting operation instance as the geological structure characteristics of each available blasting operation instance;

[0117] Based on all types of joint structure characteristic parameters and all types of fissure structure characteristic parameters included in the geological structure characteristics of each available blasting operation instance, generate the geological structure feature vector of each available blasting operation instance.

[0118] In this embodiment, all types of joint structure characteristic parameters and all types of fissure structure characteristic parameters of the available blasting operation instance: specific parameters of various characteristics of joints (such as joint density, strike, spacing, etc.) and fissures (such as fissure length, width, depth, etc.) in the available blasting operation instance. Example: The joint structure characteristic parameters may include the average spacing of joints being 20 cm and the strike being 30 degrees east of north; the fissure structure characteristic parameters may include the maximum length of fissures being 5 m and the average width being 3 cm.

[0119] In this embodiment, based on all types of joint structure characteristic parameters and all types of fissure structure characteristic parameters included in the geological structure characteristics of each available blasting operation instance, generate the geological structure feature vector of each available blasting operation instance: Transform the various characteristic parameters of the above-mentioned joints and fissures into a vector form through a certain mathematical method or model for convenient subsequent analysis and processing. Example: Suppose there are 10 characteristic parameters of joints and fissures, with values of 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 respectively. Then the generated geological structure feature vector may be

[0120] [10, 20, 30, 40, 50, 60, 70, 80, 90, 100].

[0121] The beneficial effects of the above technologies include: accurately extracting all joint structure characteristic parameters and fracture structure characteristic parameters as geological structure characteristics, covering key geological structure information. Generating geological structure feature vectors based on these detailed geological structure characteristic parameters, realizing the quantitative and standardized description of geological structures. Helping to more accurately grasp the geological structure conditions of the blasting area, providing a more targeted basis for the formulation of blasting plans. Being able to improve the consideration and processing ability of the blasting plan generation model for geological structure factors, thereby optimizing the blasting effect. Strengthening the analysis and expression of geological structures, and enhancing the scientificity and accuracy of explosive point design.

[0122] Example 7:

[0123] Based on the explosive point design method based on the semi-hole qualification rate in Example 4, generate the geological condition characteristics of each available blasting operation instance based on the formation structure characteristic matrix sequence and geological structure feature vector of each available blasting operation instance, including:

[0124] Based on the formation structure characteristic matrix sequence and geological structure feature vector of each available blasting operation instance, fit out the preferential propagation path of blasting energy in the target blasting area of each available blasting operation instance;

[0125] Refine the characteristics of the formation structure characteristic matrix sequence and geological structure feature vector of each available blasting operation instance to obtain the basic geological condition characteristics of each available blasting operation instance;

[0126] Regard the basic geological condition characteristics and the preferential propagation path of blasting energy of each available blasting operation instance as the geological condition characteristics of each available blasting operation instance.

[0127] In this embodiment, the preferential propagation path of blasting energy in the target blasting area: In the target blasting area, the route that blasting energy is more inclined to propagate according to factors such as geological conditions and structural characteristics. Example: For example, in a target blasting area with a specific formation structure and geological structure, the blasting energy may preferentially propagate along a weak interface of a certain rock layer or along a specific fracture direction.

[0128] In this embodiment, refine the characteristics of the formation structure characteristic matrix sequence and geological structure feature vector of each available blasting operation instance to obtain the basic geological condition characteristics of each available blasting operation instance: By extracting and summarizing the key information in the formation structure characteristic matrix sequence and geological structure feature vector, obtain the characteristics that can reflect the essential characteristics of the geological conditions in each available blasting operation instance. Example: Extract key characteristics such as the main formation types and significant geological structure characteristics from complex matrix and vector data as the basic geological condition characteristics.

[0129] In this embodiment, the basic geological condition characteristics of available blasting operation examples: characteristics that can concisely and effectively describe the core and key aspects of the geological conditions in available blasting operation examples after refinement. For example, it may include the main rock types, the general stratification of the strata, the significant geological structure trends, etc.

[0130] The beneficial effects of the above technologies include: By fitting the preferential propagation path of blasting energy, the propagation law of blasting energy in geological conditions can be better understood. Through feature refinement of the formation structure feature matrix sequence and geological structure feature vector, the basic geological condition characteristics are obtained, realizing the effective simplification and key extraction of complex geological information. Taking the basic geological condition characteristics and the preferential propagation path of blasting energy together as the geological condition characteristics can comprehensively and accurately describe the geological conditions, providing richer and more accurate inputs for the generation of blasting schemes. It helps to improve the matching degree between the blasting scheme and the actual geological conditions, optimize the blasting effect, and reduce the blasting risk. It enhances the analysis and utilization level of geological conditions and provides more powerful support for the design of explosive positions.

[0131] Example 8:

[0132] Based on the method for designing explosive positions based on the semi-hole qualification rate in Example 7, and based on the formation structure feature matrix sequence and geological structure feature vector of each available blasting operation example, the preferential propagation path of blasting energy within the target blasting area of each available blasting operation example is fitted, including:

[0133] Based on the multi-dimensional feature fusion method, row data merging is simultaneously performed on all formation structure feature matrices in the formation structure feature matrix sequence of each available blasting operation example to obtain the formation structure feature dimension reduction matrix sequence of each available blasting operation example;

[0134] All row vectors with the same row ordinal number in all formation structure feature dimension reduction matrices in the formation structure feature dimension reduction matrix sequence of each available blasting operation example are aggregated as all single formation structure feature vectors of all target sub-blasting areas of each available blasting operation example;

[0135] All single formation structure feature vectors and geological structure feature vectors with the same longitudinal component sorting value of each available blasting operation example are input into the blasting energy preferential propagation area screening model, and the blasting energy preferential propagation areas corresponding to the longitudinal component sorting value are screened out among all target sub-blasting areas within the target blasting area of each available blasting operation example;

[0136] Based on the blasting energy preferential propagation areas of all longitudinal component sorting values, the preferential propagation path of blasting energy is roughly fitted in the target blasting area of the corresponding available blasting operation example.

[0137] In this embodiment, based on the multi-dimensional feature fusion method, row data merging is simultaneously performed on all formation structure feature matrices in the formation structure feature matrix sequence of each available blasting operation instance to obtain a formation structure feature dimension reduction matrix sequence for each available blasting operation instance: A method capable of integrating features of multiple dimensions is used to perform merging processing on the row data of each matrix in the formation structure feature matrix sequence, thereby obtaining a set of reduced matrix sequences. For example, assume that each formation structure feature matrix originally has 5 rows of data. Through fusion, certain calculations (such as summation, averaging, etc.) may be performed on the data at the same row position to obtain new row data, form a new matrix, and form a formation structure feature dimension reduction matrix sequence.

[0138] In this embodiment, the formation structure feature dimension reduction matrix sequence: A sorted set of a series of reduced formation structure feature matrices obtained after the above row data merging operation. For example, a series of originally complex matrices become a more concise matrix sequence that can still reflect certain formation structure features after processing.

[0139] In this embodiment, all row vectors with the same row ordinal number in all formation structure feature dimension reduction matrices in the formation structure feature dimension reduction matrix sequence of each available blasting operation instance are summarized as all single formation structure feature vectors of all target sub-blasting regions of each available blasting operation instance: The row vectors with the same row ordinal number in the reduced matrix sequence are collected together to form a vector that can characterize the specific formation structure features of the target sub-blasting region. For example, the first row vectors of all reduced matrices are summarized into a vector as a single vector describing the formation structure features in a certain aspect.

[0140] In this embodiment, all single formation structure feature vectors of the target sub-blasting region: Single vectors that can reflect its specific formation structure characteristics obtained through the above summarization operation specifically for the target sub-blasting region. For example, this vector can reflect the comprehensive formation structure situation of the sub-blasting region in a certain dimension.

[0141] In this embodiment, the blasting energy preferential propagation region screening model: A model used to identify regions in the target blasting region where blasting energy is more likely to preferentially propagate. For example, it may be constructed based on machine learning algorithms. Input relevant geological and structural feature data, and output the prediction results of the blasting energy preferential propagation region.

[0142] In this embodiment, the longitudinal component sorting value: The serial number or identifier assigned after sorting the longitudinal formation components of the target blasting region. For example, in the order from shallow to deep, the longitudinal component sorting value of the first formation component is 1, the second is 2, and so on.

[0143] In this embodiment, the blasting energy preferential propagation region of the longitudinal component sorting value: the region where the blasting energy is more likely to propagate, which is screened out from all the target sub-blasting regions corresponding to the sorting value of the longitudinal component. For example, when the longitudinal component sorting value is 3, the region determined to be the blasting energy preferential propagation region may be the second target sub-blasting region among all the target sub-blasting regions with the longitudinal component sorting value of 3, which is the blasting energy preferential propagation region with the longitudinal component sorting value of 3.

[0144] In this embodiment, based on the blasting energy preferential propagation regions of all the longitudinal component sorting values, a rough fitting of the blasting energy preferential propagation path is made in the target blasting region corresponding to the available blasting operation instances: comprehensively considering the blasting energy preferential propagation regions corresponding to each longitudinal component sorting value, the propagation route of the blasting energy in the entire target blasting region is roughly inferred. For example, the regions corresponding to different sorting values are connected to form a rough path as the initially estimated blasting energy preferential propagation path.

[0145] The beneficial effects of the above technologies include: through multi-dimensional feature fusion for row data merging, a simplified matrix sequence of formation structure feature dimensions is obtained, reducing the data dimension and improving the processing efficiency. Summing up the row vectors with the same row ordinal number to obtain a single formation structure feature vector, which is convenient for unified analysis of the features of different sub-blasting regions. Using the blasting energy preferential propagation region screening model to screen out the propagation regions of different longitudinal components, improving the accuracy of determining the propagation regions. Based on the screening results, a rough fitting of the blasting energy preferential propagation path is made, providing an important reference basis for the design of explosive positions. It improves the scientificity and effectiveness of fitting the blasting energy propagation path, helps to optimize the blasting plan and improve the blasting effect.

[0146] Embodiment 9:

[0147] Based on the explosive position design method based on the semi-hole qualification rate on the basis of Embodiment 3, S202: Analyze the post-blasting state information included in each available blasting operation instance, and combine the corresponding semi-hole qualification rate after the blasting operation to obtain the actual blasting effect evaluation value of each available blasting operation instance, including:

[0148] Extract the target blasting range of each available blasting operation instance from the target blasting effect of each available blasting operation instance;

[0149] Extract the actual blasting range, the number of flying rocks, the distance of all flying rocks, and the vibration sensing area from the post-blasting state information included in each available blasting operation instance;

[0150] Based on the target blasting range, actual blasting range, number of flying stones, distances of all flying stones, vibration sensing area, and corresponding semi-hole qualification rate after the blasting operation for each available blasting operation instance, calculate the actual blasting effect evaluation value for each available blasting operation instance:

[0151]

[0152] In the formula, E BP is the actual blasting effect evaluation value of the currently calculated available blasting operation instance, α1 is the calculation weight of the blasting range, R ab is the actual blasting range of the currently calculated available blasting operation instance, R tb is the target blasting range of the currently calculated available blasting operation instance, Δ(R ab -R tb ) is the sum of the area where the actual blasting range of the currently calculated available blasting operation instance exceeds the target blasting range and the area where the target blasting range exceeds the actual blasting range, α2 is the calculation weight of the flying stone situation, n is the number of flying stones of the currently calculated available blasting operation instance, d isf is the distance of the i-th flying stone of the currently calculated available blasting operation instance, D 0sf is the preset standard flying stone situation parameter; α3 is the calculation weight of the vibration sensing area, S sv is the vibration sensing area of the currently calculated available blasting operation instance, S 0sv is the preset standard vibration sensing area, α4 is the calculation weight of the semi-hole qualification rate, γ hh is the semi-hole qualification rate after the blasting operation of the currently calculated available blasting operation instance.

[0153] In this embodiment, the target blasting effect of the available blasting operation instance: the blasting result expected to be achieved before the blasting operation, including expectations in aspects such as the morphology and range after blasting. Example: Expecting a specific distribution of rock fragments in a certain shape after blasting.

[0154] In this embodiment, the target blasting range of the available blasting operation instance: the area range expected to be blasted set before the blasting operation. Example: A defined spatial area with specific lengths, widths, and heights.

[0155] In this embodiment, the actual blasting range: the area range where the blasting operation actually produces effects. Example: It may be larger or smaller than the target blasting range.

[0156] In this embodiment, the number of flying stones: the number of stones generated and splashed out during the blasting process. Example: It is statistically obtained that 1000 flying stones are generated in this blasting.

[0157] In this embodiment, the flying rock distance is the distance that the flying rock travels. For example, the flying distance of a certain flying rock is 50 meters.

[0158] In this embodiment, the vibration sensing area is the area affected by the ground vibration caused by the blasting detected by the vibration sensor. For example, the vibration sensing area is 500 square meters.

[0159] In this embodiment, the calculation weight of the blasting range is a numerical representation of the relative importance given to the factor of the blasting range when calculating the blasting effect evaluation value. For example, the calculation weight of the blasting range is 0.3.

[0160] In this embodiment, the calculation weight of the flying rock situation is the numerical value of the importance of the factor of the flying rock situation in the comprehensive calculation when evaluating the blasting effect. For example, the calculation weight of the flying rock situation is set to 0.2.

[0161] In this embodiment, the preset standard flying rock situation parameter is a reference value preset for measuring whether the flying rock situation meets the standard. For example, the standard flying rock situation parameter may be 5000.

[0162] In this embodiment, the calculation weight of the vibration sensing area is the numerical manifestation of the relative importance of the factor of the vibration sensing area when calculating the blasting effect. For example, the calculation weight of the vibration sensing area is 0.1.

[0163] In this embodiment, the preset standard vibration sensing area is a reference area value preset for whether the vibration sensing area meets the standard. For example, the standard vibration sensing area is 800 square meters.

[0164] In this embodiment, the calculation weight of the semi-hole qualification rate is a numerical representation of the importance of this index when evaluating the blasting effect. For example, the calculation weight of the semi-hole qualification rate is 0.4.

[0165] The beneficial effects of the above technologies include: By extracting the target blasting range and the actual relevant information after blasting, it comprehensively covers the key elements required for evaluating the blasting effect. Considering multiple factors such as the actual blasting range, flying rock situation, vibration sensing area, and semi-hole qualification rate to calculate the actual blasting effect evaluation value, making the evaluation more comprehensive and objective. The given calculation formula clarifies the weights and calculation methods of each factor, improving the accuracy and quantifiability of the evaluation. This precise calculation of the evaluation value helps to more accurately measure the actual effect of each available blasting operation instance. It provides reliable and valuable feedback for the training of the blasting scheme generation model, which is beneficial to improving the performance of the model and generating better blasting schemes. It enhances the scientificity and reliability of the blasting effect evaluation and provides strong support for the optimization of the explosive point design.

[0166] Example 10:

[0167] Based on the explosive point design method with semi-hole qualification rate on the basis of Embodiment 1, S3: Generate an optimal blasting plan based on the geological conditions and blasting plan generation model within the range to be blasted, referring to Figure 4 , including:

[0168] S301: Extract the characteristics of the geological conditions within the range to be blasted to obtain the geological condition characteristics within the range to be blasted;

[0169] S302: Input the geological condition characteristics within the range to be blasted into the blasting plan generation model to obtain the optimal blasting plan.

[0170] In this embodiment, the principle process of extracting the characteristics of the geological conditions within the range to be blasted to obtain the geological condition characteristics within the range to be blasted is the same as the specific implementation principle process of "extracting the characteristics of the geological conditions within the corresponding target blasting range included in each available blasting operation instance to obtain the geological condition characteristics of each available blasting operation instance" disclosed in the foregoing embodiment.

[0171] The beneficial effects of the above technologies include: By extracting the characteristics of the geological conditions within the range to be blasted, the key feature information can be accurately obtained, providing precise input for generating the blasting plan. Inputting the extracted geological condition characteristics into the blasting plan generation model and utilizing the learning and prediction capabilities of the model, multiple available blasting plans can be quickly generated. Generating multiple plans increases the diversity of choices, and the most suitable plan can be selected from them according to actual requirements and conditions. This method of generating plans based on geological condition characteristics and the model improves the efficiency and accuracy of plan generation. It helps to formulate a more scientific and reasonable blasting plan in actual blasting operations, improving the safety and effect of blasting operations. It enhances the intelligent level and scientific nature of explosive point design, providing strong technical support for blasting engineering.

[0172] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for designing explosive positions based on the qualified rate of semi-holes, characterized in that, Including: S1: Obtain a large number of available blasting operation instances, where the available blasting operation instances include the geological conditions, blasting schemes, semi-hole qualification rates after blasting operations, and post-blasting status information within the corresponding target blasting range; S2: Build a blasting scheme generation model based on all available blasting operation instances, including: S201: Treat the spatial area corresponding to the target blasting range of each available blasting operation instance as the target three-dimensional blasting area, and perform horizontal equidistant division on the target three-dimensional blasting area of each available blasting operation instance to obtain all target sub-blasting areas of each available blasting operation instance; Extract the geological conditions of each target sub-blasting area of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance; Based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters corresponding to the target sub-blasting area, and generate a stratigraphic structure characteristic matrix for each target sub-blasting area based on the longitudinal stratigraphic structure characteristic parameters of each target sub-blasting area; Sort the stratigraphic structure characteristic matrices of all target sub-blasting areas of each available blasting operation instance according to the sorting order of all target sub-blasting areas of each available blasting operation instance to obtain the stratigraphic structure characteristic matrix sequence of each available blasting operation instance; Extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate a geological structure characteristic vector for each available blasting operation instance based on the geological structure characteristics of each available blasting operation instance; Generate the geological condition characteristics of each available blasting operation instance based on the stratigraphic structure characteristic matrix sequence and geological structure characteristic vector of each available blasting operation instance; S202: Analyze the post-blasting status information included in each available blasting operation instance, and combine it with the corresponding semi-hole qualification rate after the blasting operation to obtain the actual blasting effect evaluation value of each available blasting operation instance; S203: Treat the geological condition characteristics of each available blasting operation instance as the model input quantity of a single training sample. At the same time, treat the blasting scheme of each available blasting operation instance as the model output quantity of the corresponding training sample, and treat the actual blasting effect evaluation value of each available blasting operation instance as the confidence level of the corresponding training sample, and build a blasting scheme generation model in combination with the neural network algorithm; S3: Generate the optimal blasting scheme based on the geological conditions within the range to be blasted and the blasting scheme generation model; S4: Treat all the explosive point design schemes in the optimal blasting scheme as the optimal explosive point design scheme.

2. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, characterized in that S1: Obtain a large number of available blasting operation instances, including: S101: Obtain a large number of blasting operation instances, where the blasting operation instances include the geological conditions, blasting schemes, semi-hole qualification rates after blasting operations, and post-blasting status information within the corresponding target blasting range; S102: Treat all blasting operation instances with a semi-hole qualification rate not less than the semi-hole qualification rate threshold after all blasting operations as all available blasting operation instances.

3. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, wherein Based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine the longitudinal stratigraphic structure characteristic parameters corresponding to each target sub-blasting area, and generate a stratigraphic structure characteristic matrix for each target sub-blasting area, including: Based on the geological conditions of each target sub-blasting area of each available blasting operation instance, determine all the longitudinal stratigraphic components within the corresponding target sub-blasting area, determine all the class structure parameters and all the class component physical property parameters of each longitudinal stratigraphic component within the corresponding target sub-blasting area, and regard all the class structure parameters and all the class component physical property parameters of all the longitudinal stratigraphic components within the corresponding target sub-blasting area as the longitudinal stratigraphic structure characteristic parameters of the corresponding target sub-blasting area; Generate a stratigraphic property vector for each longitudinal stratigraphic component within each target sub-blasting area based on all the class structure parameters and all the class component physical property parameters of each longitudinal stratigraphic component within each target sub-blasting area; Sort the stratigraphic property vectors of all the longitudinal stratigraphic components within each target sub-blasting area in the order of the longitudinal stratigraphic component distribution and construct a matrix to obtain the stratigraphic structure characteristic matrix of each target sub-blasting area.

4. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, characterized in that, Extract the geological structure characteristics of each available blasting operation instance from the geological conditions within the corresponding target blasting range included in each available blasting operation instance, and generate a geological structure characteristic vector for each available blasting operation instance based on the geological structure characteristics of each available blasting operation instance, including: Extract all the class joint structure characteristic parameters and all the class fracture structure characteristic parameters included in the geological conditions within the corresponding target blasting range included in each available blasting operation instance as the geological structure characteristics of each available blasting operation instance; Generate a geological structure characteristic vector for each available blasting operation instance based on all the class joint structure characteristic parameters and all the class fracture structure characteristic parameters included in the geological structure characteristics of each available blasting operation instance.

5. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, wherein, Generate the geological condition characteristics of each available blasting operation instance based on the stratigraphic structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, including: Based on the stratigraphic structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, fit the preferential propagation path of blasting energy within the target blasting area of each available blasting operation instance; Refine the characteristics of the stratigraphic structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance to obtain the basic geological condition characteristics of each available blasting operation instance; Regard both the basic geological condition characteristics and the preferential propagation path of blasting energy of each available blasting operation instance as the geological condition characteristics of each available blasting operation instance.

6. The method for designing explosive positions based on the qualified rate of half holes according to claim 5, characterized in that, Based on the stratigraphic structure characteristic matrix sequence and the geological structure characteristic vector of each available blasting operation instance, fit the preferential propagation path of blasting energy within the target blasting area of each available blasting operation instance, including: Based on the multi-dimensional feature fusion method, the row data of all formation structure feature matrices in the formation structure feature matrix sequence of each available blasting operation instance are merged simultaneously to obtain the formation structure feature dimension-reduced matrix sequence of each available blasting operation instance; Summarize all row vectors with the same row ordinal number in all formation structure feature dimension-reduced matrices in the formation structure feature dimension-reduced matrix sequence of each available blasting operation instance as all single formation structure feature vectors of all target sub-blasting areas of each available blasting operation instance; Input all single formation structure feature vectors and geological structure feature vectors with the same longitudinal component sorting value of each available blasting operation instance into the blasting energy preferential propagation area screening model, and screen out the blasting energy preferential propagation areas corresponding to the longitudinal component sorting value in all target sub-blasting areas within the target blasting area of each available blasting operation instance; Based on the blasting energy preferential propagation areas of all longitudinal component sorting values, roughly fit the blasting energy preferential propagation path in the target blasting area of the corresponding available blasting operation instance.

7. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, characterized in that, S202: Analyze the post-blasting state information included in each available blasting operation instance, and combine the corresponding semi-hole qualification rate after the blasting operation to obtain the actual blasting effect evaluation value of each available blasting operation instance, including: Extract the target blasting range of each available blasting operation instance from the target blasting effect of each available blasting operation instance; Extract the actual blasting range, the number of flying rocks, all flying rock distances, and the vibration sensing area from the post-blasting state information included in each available blasting operation instance; Based on the target blasting range, actual blasting range, number of flying rocks, all flying rock distances, vibration sensing area of each available blasting operation instance, and the corresponding semi-hole qualification rate after the blasting operation, calculate the actual blasting effect evaluation value of each available blasting operation instance: Where, E BP is the actual blasting effect evaluation value of the available blasting operation instance currently calculated, α1 is the calculation weight of the blasting range, R ab is the actual blasting range of the available blasting operation instance currently calculated, R tb is the target blasting range of the available blasting operation instance currently calculated, Δ(R ab -R tb ) is the sum of the area where the actual blasting range of the available blasting operation instance currently calculated exceeds the target blasting range and the area where the target blasting range exceeds the actual blasting range, α2 is the calculation weight of the flying rock situation, n is the number of flying rocks of the available blasting operation instance currently calculated, d isf is the distance of the i-th flying rock of the available blasting operation instance currently calculated, D 0sf is the preset standard flying rock situation parameter; α3 is the calculation weight of the vibration sensing area, S sv is the vibration sensing area of the available blasting operation instance currently calculated, S 0sv is the preset standard vibration sensing area, α4 is the calculation weight of the semi-hole qualification rate, γ hh is the semi-hole qualification rate after the blasting operation of the available blasting operation instance currently calculated.

8. The method for designing explosive positions based on the qualified rate of half holes according to claim 1, characterized in that S3: Generate the optimal blasting plan based on the geological conditions and blasting plan generation model within the range to be blasted, including: S301: Extract the features of the geological conditions within the range to be blasted to obtain the geological condition features within the range to be blasted; S302: Input the geological condition features within the range to be blasted into the blasting plan generation model to obtain the optimal blasting plan.

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