A method and system for intelligent evaluation of blasting effects

Abstract

This invention discloses a method and system for intelligent evaluation of blasting effects, relating to the field of information processing technology. The method includes: acquiring the pre-blast step profile line and the corresponding post-blast pile outline of the target object from a server; extracting post-blast pile change feature values; normalizing the post-blast pile change feature values ​​to obtain standard score values; constructing a mapping space between the standard score values ​​and engineering indicators to obtain engineering indicator evaluation scores; weighting the engineering indicator evaluation scores to obtain a comprehensive score; and determining the blast pile morphology level based on the comprehensive score and a preset grading threshold. This invention improves the adaptability and domain transferability of intelligent blasting effect evaluation by extracting and normalizing blast pile change features; it enhances standardization by using a dimensional projection matrix to map low-dimensional morphological features to high-dimensional engineering indicators; and it improves adaptability by introducing a multi-indicator matrix evaluation method and a quality grading method, allowing for flexible configuration of evaluation preferences according to actual needs.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and in particular to a method and system for intelligent evaluation of blasting effects. Background Technology

[0002] In mining engineering, hydropower engineering, railway construction and other fields involving large-scale earthwork blasting, the shape of the blast pile after blasting not only directly affects the operating efficiency of loading equipment (such as excavators and loaders) and transportation equipment, but is also closely related to key indicators such as blasting cost, energy consumption, dust control and operation safety. Therefore, it is necessary to evaluate the blasting effect and then provide operational feedback and processing based on the evaluation results.

[0003] Traditional blasting design and evaluation processes typically rely on human experience and static image judgments, which are significantly lacking in accuracy, quantification, consistency, and reproducibility. Currently, the industry has begun to explore the introduction of image processing techniques such as blast pile contour recognition and block size measurement for digital analysis. For example, drones are used to capture panoramic images of blast piles, and geometric features such as slope angles, symmetry, and aspect ratios are estimated through two-dimensional or three-dimensional modeling.

[0004] However, current evaluation methods generally suffer from three main problems: First, the feature dimensions are too limited, and the evaluation models lack interpretability. Most existing methods focus on extracting limited geometric or textural information from images, such as boundary line fitting angles and height projection ranges, lacking a deep mapping to the physical essence of blasting (such as energy release direction, geological bedding structure, and charge structure), thus failing to truly quantify the core engineering indicator of "whether the blasting effect is good." Second, the evaluation process lacks correlation with engineering indicators, making it difficult to provide feedback for design optimization. Although some systems can output blasting parameters, they lack scoring mechanisms for engineering-side requirements such as "block size adaptability," "expected excavation and loading efficiency," and "transportation smoothness," resulting in parameters remaining at the level of sensory description or experience-based scoring, failing to form a closed-loop feedback that can be used for design adjustments. Third, there is a lack of standardized scoring functions and a universal evaluation framework. Current mainstream practices are often customized for specific projects, with feature weights and scoring logic relying on manual judgment, failing to form standardized or modular calculation models, making it difficult to extend to other mining areas or working conditions.

[0005] Furthermore, although some studies in recent years have attempted to introduce methods such as deep learning and graph neural networks into burst assessment, these methods suffer from problems such as large sample requirements, poor interpretability, and insufficient physical consistency. Especially in engineering applications, regulators and operators generally trust evaluation methods with clear structures, well-defined logic, and adjustable parameters more than "black box" neural network predictions.

[0006] In summary, the field of burst reactor morphology evaluation currently lacks a unified evaluation methodology that combines image and physical characteristics, multi-index mapping, standard scoring functions, and hierarchical feedback mechanisms. Summary of the Invention

[0007] To address the issue of low intelligence and standardization in existing technologies for evaluating blasting effects, this invention proposes a method and system for intelligent evaluation of blasting effects. Through an algorithmic process of feature extraction, penalty scoring, evaluation index mapping, comprehensive scoring, and graded judgment, the method achieves quantitative assessment and visual feedback of blasting effects, thereby improving the efficiency and intelligence level of blasting design optimization.

[0008] To achieve the above objectives, the present invention provides the following technical solution: A method for intelligent evaluation of blasting effects specifically includes the following steps: S1: Obtain the pre-blast step profile line and the corresponding post-blast pile outline of the target object from the server, extract the post-blast pile change characteristics, and calculate the corresponding post-blast pile change characteristic values. S2: The post-blast pile body change characteristic value is normalized by using a linear piecewise penalty function to obtain the standard score value of the post-blast pile body change characteristic. S3: Construct a mapping space between the standard score value of the post-explosion pile body change characteristics and the engineering index, and obtain the engineering index evaluation score; S4: The engineering indicator evaluation scores are weighted and calculated to obtain the comprehensive score S reflecting the overall blasting effect; S5: Determine the burst pile morphology level based on the comprehensive score S and the preset grading threshold.

[0009] Preferably, in S1, the pre-blast step profile line is selected on the plane perpendicular to the horizontal free plane of the blasting and the normal vector of the maximum vertical free plane, and passes through the center position of the maximum vertical free plane of the blasting zone.

[0010] Preferably, in S1, the post-explosion pile changes include, but are not limited to, the forward rushing distance of the pile, the maximum pile height, the depth of the back trench, the distance of the back trench, the loosening coefficient, the slope of the front pile surface, the effective throwing rate, and the apparent smoothness of the particle size.

[0011] Preferably, in step S2, the normalization process is as follows: in, The standard score value representing the post-explosion change characteristics of the i-th blast; This represents the characteristic value of the post-explosion change in the pile body; The target baseline value represents the characteristic change of the i-th post-explosion pile body; This represents the first penalty weighting coefficient; This represents the second penalty weighting coefficient.

[0012] Preferably, in step S3, the method for calculating the engineering indicator evaluation score is as follows: in, This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; Represents the dimensional projection matrix; The standard score represents the characteristic change of the i-th post-explosion heap; T represents the transpose matrix; This represents the contribution weight of the i-th post-explosion pile body change characteristic to the j-th engineering index.

[0013] Preferably, in S3, the engineering indicators include block size sorting quality, rationality of blast pile shape, excavation and loading efficiency, impact of back-pulling disturbance, blasting impact, and matching of charge structure.

[0014] Preferably, in step S4, the comprehensive score is calculated as follows: In formula (3), This indicates the overall score; This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; This represents the weighting factor for the j-th engineering indicator; This indicates the quantity of engineering indicators.

[0015] Preferably, in step S5, the method for determining the blast pile morphology level is as follows: In formula (4), L represents the output burst pile morphology level; This indicates the overall score; This indicates the preset first grading threshold; This indicates the preset second-level threshold. This indicates the preset third-level threshold. This indicates the preset fourth-level threshold.

[0016] Based on the above-described method for intelligent evaluation of blasting effects, this invention also provides a system for intelligent evaluation of blasting effects, comprising: The data acquisition module is used to obtain the pre-blast step profile line and the corresponding post-blast pile outline of the target object from the server; The feature extraction module is used to extract the post-blast pile body change features and calculate the corresponding post-blast pile body change feature values; The first calculation module is used to normalize the characteristic values ​​of post-blast pile changes and calculate the standard score value of the post-blast pile change characteristics. The second calculation module is used to construct a mapping space based on the standard score value and engineering indicators of the post-explosion pile body change characteristics, and to calculate the evaluation score of the engineering indicators. The third calculation module is used to perform a weighted summation based on the engineering indicator evaluation scores to obtain the comprehensive score of the bursting reactor. The output module is used to determine the morphology level of the burst pile based on the comprehensive score of the burst pile and the preset grading threshold. The display module is used to display the burst pile morphology level.

[0017] In summary, by adopting the above technical solution, the present invention has at least the following beneficial effects compared with the prior art: This invention improves the adaptability and domain transferability of intelligent evaluation of blasting effects by extracting and normalizing the blasting pile change characteristics; then, it uses a dimensional projection matrix to map low-dimensional morphological features to high-dimensional engineering indicators, thereby improving the standardization and accuracy of the evaluation system; finally, it introduces a multi-index matrix evaluation method and a quality grading method, which can flexibly configure evaluation preferences according to actual needs and adapt to different construction requirements.

[0018] This invention is particularly applicable to the evaluation of blast pile quality in scenarios such as large open-pit mines, tunnels, and water conservancy projects. It can also be extended to any intelligent evaluation task of structures based on morphology-performance analysis, realizing the process of automatic data collection, calculation, and output of evaluation results, and improving the intelligence of blast pile evaluation. Attached Figure Description Figure 1 This is a schematic diagram of a method for intelligent evaluation of blasting effects according to an exemplary embodiment of the present invention.

[0019] Figure 2 This is a schematic diagram of the pre-blast step profile and the post-blast pile outline according to an exemplary embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of a system for intelligent evaluation of blasting effects according to an exemplary embodiment of the present invention. Detailed Implementation

[0021] The present invention will be further described in detail below with reference to embodiments and specific implementation methods. However, it should not be construed that the scope of the above-mentioned subject matter of the present invention is limited to the following embodiments, and all technologies implemented based on the content of the present invention fall within the scope of the present invention.

[0022] In the description of this invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0023] like Figure 1 As shown, the present invention provides a method for intelligent evaluation of blasting effects, specifically including the following steps: S1: Obtain the pre-blast step profile and the corresponding post-blast pile outline of the target object from the server, extract the post-blast pile change characteristics, and calculate the corresponding post-blast pile change characteristic values.

[0024] In this embodiment, a panoramic image of the blast pile can be captured by a drone and transmitted to a server. Then, the server can construct the pre-blast step profile line and the corresponding post-blast pile outline of the target object using two-dimensional or three-dimensional modeling. This is existing technology. It is worth noting that the pre-blast step profile line is selected on the plane perpendicular to the horizontal free plane of the blast and the normal vector of the maximum vertical free plane, and passes through the center of the maximum vertical free plane of the blast zone to ensure that it reflects the main changes in the post-blast pile morphology.

[0025] In this embodiment, an interpolation algorithm can be used to unify the resolution, and eight post-blast pile change features can be extracted based on the horizontal and vertical characteristic change rates of the pre-blast step profile line and the post-blast pile outline line, and the corresponding post-blast pile change feature values ​​x[i], i∈(1,8) can be calculated; the post-blast pile (referred to as blast pile) change features include but are not limited to the forward rushing distance of the blast pile, the maximum pile height of the blast pile, the depth of the back trench, the distance of the back trench, the loosening coefficient, the slope of the front pile surface, the effective throwing rate, and the apparent smoothness of the particle size.

[0026] The post-explosion pile change characteristics can be automatically extracted through image processing, curve analysis, measurement data, and engineering experience algorithms, providing a basic input for subsequent evaluation steps. These post-explosion pile change characteristics are scalable and can also incorporate other indicators for modeling pile behavior in complex scenarios.

[0027] Specifically, such as Figure 2 As shown, the forward thrust of the blast pile , This represents the horizontal projection length of the forward slope section. The maximum vertical height of the blast pile; the maximum pile height of the blast pile. , The pre-blast bench height of the target object; the depth of the post-blast trench. , The height of the rear trench relative to the bottom surface; the distance of the rear trench. b is the row spacing, c is the distance between the point on the upper side of the step where the elevation begins to drop from the standard elevation due to the blasting action and the last row of blast holes; loosening coefficient , S1 is the cross-sectional area of ​​the blast pile, and S2 is the cross-sectional area of ​​the pre-blast step; the slope of the front pile surface. , This represents the height corresponding to the starting point of the stable section of the pile surface before the blast. The effective throwing rate is the horizontal projection length from the beginning to the end of the stable section of the pile surface before detonation (in most cases, the toe of the slope); , It represents the area of ​​the section outside the boundary of the blast pile (bounded by the pre-blast step profile line). The area of ​​the exploded cross section within the boundary (the function difference is a positive integral); apparent smoothness of particle size. It is the reciprocal of the ratio of the second derivative of the post-blast pile outline to the second derivative of the pre-blast step profile, mainly reflecting the curvature of the blast pile surface.

[0028] For example, the characteristic value of the post-explosion pile body change obtained after calculation is [ 1.81184, 1.09716, 0.8758, 0.5511, 1.3395, 0.5505, 0.2766, 1.8636].

[0029] S2: A linear piecewise penalty function is used to normalize the characteristic values ​​of the post-explosion pile changes, resulting in a corresponding standard score value. The linear piecewise penalty function includes a plateau value, left and right attenuation coefficients, and piecewise weights, which reflect the degree to which the blast pile shape deviates from the ideal state.

[0030] In this embodiment, the normalization process is as follows: In formula (1), The standard score value represents the characteristic of the i-th post-explosion pile body change, with an interval of [0, 100]. The closer it is to 100, the more positive the characteristic can have on the project. This represents the characteristic value of the post-explosion change in the pile body; The target benchmark value (ideal value or evaluation threshold) represents the characteristic change of the i-th post-explosion pile body. This represents the first penalty weighting coefficient; This represents the second penalty weighting coefficient.

[0031] In this embodiment, a first penalty weight coefficient is set. Second penalty weight coefficient This reflects the difference in importance of the post-explosion pile body change characteristic value deviating from the target benchmark value in different directions (different segments).

[0032] The proposed linear piecewise penalty function reflects the score decrease pattern when the burst pile morphology deviates from the ideal state. It features symmetric / asymmetric control, decay rate adjustment, and interval plateau stability, making it suitable for dynamic adjustments to different evaluation biases in engineering fields. It is applicable to the normalization transformation of positively skewed, negatively skewed, and symmetric indices. By avoiding the use of a uniform linear scaling method, it effectively enhances the robustness and sensitivity of the evaluation model to burst pile morphology.

[0033] For example, after normalizing the characteristic values ​​of post-explosion pile changes in S1, the standard score values ​​obtained are [98.8960, 99.1480, 78.1840, 99.5556, 75.8177, 55.4341, 48.6146, 75.2016].

[0034] S3: Construct a mapping space between the standard score value of the post-explosion pile body change characteristics and the engineering indicators to obtain the engineering indicator evaluation score.

[0035] In this embodiment, engineering indicators can be customized according to requirements, such as block size sorting quality, reasonableness (safety) of blast pile shape, excavation and loading efficiency (wear prediction), back-pull disturbance effect, blasting effect and charge structure matching, etc.

[0036] Specifically, this can be achieved by setting a dimensional projection matrix. The standard score values ​​(dimension i) of the post-explosion pile body change characteristics are mapped to engineering indicators (dimension j), constructing a mapping space to achieve an ordered projection from the feature space to the evaluation space, providing a multi-dimensional basis for subsequent comprehensive scoring, and obtaining the engineering indicator evaluation score: In formula (2), This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; Represents the dimensional projection matrix; The standard score represents the characteristic change of the i-th post-explosion heap; T represents the transpose matrix; This represents the contribution weight of the i-th post-explosion pile body change characteristic to the j-th engineering index.

[0037] The aforementioned engineering indicators can be expanded or adjusted according to actual on-site needs, supporting the selection of indicator systems for different mining conditions and blasting modes. They are dynamically weighted through methods such as "expert decision-making," "empirical data calibration," or "model learning correction" to achieve diversified interpretation and enhanced adaptability of engineering indicators. This process links physical characteristics with engineering applications, realizing a structural mapping from "data features" to "engineering representation," enabling blasting analysis to move from single-dimensional information to a comprehensive intelligent evaluation system, providing a basis for engineering decision-making in subsequent comprehensive scoring.

[0038] In this embodiment, the dimensional projection matrix can be adapted to meet the specific application requirements and possesses good scalability and engineering interpretability.

[0039] For example, in this embodiment, the dimension of the engineering indicator is 6, and after calculation, the evaluation scores of the engineering indicator are [72.9367, 84.060, 77.8095, 84.5955, 81.2120, 85.6471].

[0040] S4: The weighted summation method is used to calculate the comprehensive score S reflecting the overall blasting effect by weighting the evaluation scores of the engineering indicators. This score is used to further map the level assessment, reflect the overall quality level of the blast pile shape, and provide a basis for subsequent optimization of blasting parameters.

[0041] In this embodiment, the comprehensive scoring function S is first set as a weighted linear combination of the evaluation indicators of each project, and its calculation form is as follows: In formula (3), This indicates the overall score; This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; The weight factor for the j-th engineering indicator is determined by engineering experience and can be taken as [0.25, 0.20, 0.20, 0.10, 0.15, 0.10]. This indicates the quantity of engineering indicators.

[0042] The design goal of the comprehensive scoring function S is to quantify the influence of multiple characteristics of the blasting morphology on actual operations, forming a single scalar index reflecting the overall blasting effect, with a weight vector. The configuration can be determined according to project needs, using equal weighting, or based on expert experience, historical data fitting, or the AHP (Analytic Hierarchy Process).

[0043] For example, based on the engineering index evaluation score obtained from S3 and formula (3), the comprehensive score S = 85.6471 can be obtained.

[0044] S5: Determine the burst pile morphology level based on the comprehensive score S and the preset grading threshold.

[0045] In this embodiment, the blast pile morphology level is used to characterize different blast pile quality states and to provide a reference for subsequent optimization of blasting parameters.

[0046] In this embodiment, the preset grading threshold can be set based on historical engineering data and expert experience, for example, a preset grading threshold. .

[0047] Specifically, the morphology level of the burst pile can be determined according to the following formula: In formula (4), L represents the output burst pile morphology level; This indicates the overall score; This indicates the preset first grading threshold; This indicates the preset second-level threshold. This indicates the preset third-level threshold. This indicates the preset fourth-level threshold.

[0048] In this embodiment, based on the comprehensive score S=85.6471 output by S4 and formula (4), the explosion pile morphology level can be determined as follows: .

[0049] In engineering practice, the explosion morphology level is " This system can be used for both quality statistical analysis and as a feedback trigger for subsequent optimization of blasting parameters. In this implementation case, when the evaluation level is lower than the "general" level, the system automatically suggests readjusting the charge structure or perforation parameters, and can automatically calculate the feasible solution range in conjunction with the model.

[0050] Furthermore, this burst pile morphology classification system can be expanded according to the differentiated needs of projects, allowing for customization of the number of levels, level naming and boundary thresholds, and supports soft-constrained fuzzy classification schemes (such as Gaussian fuzzy mapping, sigmoid function boundary, etc.) to improve the model's interpretability and generalization stability under boundary conditions.

[0051] In this embodiment, based on the above-mentioned method for intelligent evaluation of blasting effects, such as... Figure 3 As shown, the present invention also provides a system for intelligent evaluation of blasting effects, including a data acquisition module, a feature extraction module, a first calculation module, a second calculation module, a third calculation module, an output module, and a display module.

[0052] The data acquisition module's input is connected to the server, its output is connected to the feature extraction module's input, its output is connected to the first calculation module's input, its output is connected to the second calculation module's input, its output is connected to the third calculation module's input, its output is connected to the output module's input, and its output is connected to the display module's input.

[0053] The data acquisition module is used to obtain the pre-blast step profile line and the corresponding post-blast pile outline of the target object from the server. The feature extraction module is used to extract the post-blast pile body change features and calculate the corresponding post-blast pile body change feature values; The first calculation module is used to normalize the characteristic values ​​of post-blast pile changes and calculate the standard score value of the post-blast pile change characteristics. The second calculation module is used to construct a mapping space based on the standard score value and engineering indicators of the post-explosion pile body change characteristics, and to calculate the evaluation score of the engineering indicators. The third calculation module is used to perform a weighted summation based on the engineering indicator evaluation scores to obtain the comprehensive score of the bursting reactor. The output module is used to determine the morphology level of the burst pile based on the comprehensive score of the burst pile and the preset grading threshold. The display module is used to display the morphology level of the bursting pile, and can also display the standard score, engineering index evaluation score and the comprehensive score of the bursting pile.

[0054] The present invention also provides an electronic device, the electronic device including a processor, the processor being configured to run a computer program stored in a memory, so that the electronic device implements the method steps for intelligent evaluation of blasting effects in the above embodiments.

[0055] The present invention also provides a computer-readable storage medium storing a computer program, which, when run on a processor, implements the steps of a method for intelligent evaluation of blasting effects as described in the above embodiments.

[0056] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include at least: any entity or device capable of carrying computer program code to an electronic device, recording media, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media. Examples include USB flash drives, portable hard drives, magnetic disks, or optical discs. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0057] Those skilled in the art will understand that the above embodiments are specific examples of implementing the present invention, and in practical applications, various changes in form and detail may be made without departing from the spirit and scope of the present invention.

Claims

1. A method for intelligent evaluation of blasting effects, characterized in that, Specifically, the following steps are included: S1: Obtain the pre-blast step profile line and the corresponding post-blast pile outline of the target object from the server, extract the post-blast pile change characteristics, and calculate the corresponding post-blast pile change characteristic values. S2: The post-blast pile body change characteristic value is normalized by using a linear piecewise penalty function to obtain the standard score value of the post-blast pile body change characteristic. S3: Construct a mapping space between the standard score value of the post-explosion pile body change characteristics and the engineering index, and obtain the engineering index evaluation score; S4: The engineering indicator evaluation scores are weighted and calculated to obtain the comprehensive score S reflecting the overall blasting effect; S5: Determine the burst pile morphology level based on the comprehensive score S and the preset grading threshold.

2. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S1, the pre-blast step profile is selected on the plane perpendicular to the horizontal free plane of the blast and the normal vector of the maximum vertical free plane, and passes through the center of the maximum vertical free plane of the blast zone.

3. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S1, the post-explosion pile changes include, but are not limited to, the forward rushing distance of the pile, the maximum pile height, the depth of the back trench, the distance of the back trench, the loosening coefficient, the slope of the front pile surface, the effective throwing rate, and the apparent smoothness of the particle size.

4. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S2, the normalization process is as follows: in, The standard score value representing the post-explosion change characteristics of the i-th blast; This represents the characteristic value of the change in the pile body after the i-th explosion; The target baseline value represents the characteristic change of the i-th post-explosion pile body; This represents the first penalty weighting coefficient; This represents the second penalty weighting coefficient.

5. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S3, the calculation method for the engineering indicator evaluation score is as follows: in, This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; Represents the dimensional projection matrix; The standard score represents the characteristic change of the i-th post-explosion heap; T represents the transpose matrix; This represents the contribution weight of the i-th post-explosion pile body change characteristic to the j-th engineering index.

6. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S3, the engineering indicators include block size sorting quality, rationality of blast pile shape, excavation and loading efficiency, impact of back-pulling disturbance, blasting impact, and matching of charge structure.

7. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S4, the comprehensive score is calculated as follows: In formula (3), This indicates the overall score; This represents the evaluation score of the j-th engineering indicator and the i-th post-blast change characteristic of the pile body; This represents the weight factor for the j-th engineering indicator; This indicates the quantity of engineering indicators.

8. The method for intelligent evaluation of blasting effects as described in claim 1, characterized in that, In S5, the method for determining the explosion pile morphology level is as follows: In formula (4), L represents the output burst pile morphology level; This indicates the overall score; This indicates the preset first grading threshold; This indicates the preset second-level threshold. This indicates the preset third-level threshold. This indicates the preset fourth-level threshold.

9. A system for intelligent evaluation of blasting effects based on the method of any one of claims 1-8, characterized in that, include: The data acquisition module is used to obtain the pre-blast step profile line and the corresponding post-blast pile outline of the target object from the server; The feature extraction module is used to extract the post-blast pile body change features and calculate the corresponding post-blast pile body change feature values; The first calculation module is used to normalize the characteristic values ​​of post-blast pile changes and calculate the standard score value of the post-blast pile change characteristics. The second calculation module is used to construct a mapping space based on the standard score value and engineering indicators of the post-explosion pile body change characteristics, and to calculate the evaluation score of the engineering indicators. The third calculation module is used to perform a weighted summation based on the engineering indicator evaluation scores to obtain the comprehensive score of the bursting reactor. The output module is used to determine the morphology level of the burst pile based on the comprehensive score of the burst pile and the preset grading threshold. The display module is used to display the burst pile morphology level.

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