Blasting seismic source excitation control method and system based on environmental factors and electronic equipment

Abstract

The invention discloses a blasting seismic source excitation control method and system based on environmental factors and electronic equipment, and relates to the technical field of seismic exploration. The method comprises the following steps: constructing a blasting performance model and loading the blasting performance model to a core calculation unit; a sensor is deployed in the blasting area, an environment sensing array is obtained, and a wireless communication link between the environment sensing array and the core computing unit is constructed; after the environment sensing array returns real-time environment factors, the core calculation unit starts the blasting performance model for analysis and outputs a control adjustment value; evaluating the adjustment value and optimizing and correcting based on an evaluation result to obtain a real-time blasting parameter; and the real-time blasting parameters are adopted to carry out focus excitation adjustment control. The technical problem that the blasting effect is not ideal due to the fact that blasting source excitation control cannot adapt to complex environment changes in real time in the prior art is solved, and the technical effect of improving the stability and adaptability of the blasting effect is achieved by obtaining environment factors in real time based on the environment sensing array and conducting intelligent adjustment in combination with the blasting performance model.

Description

Technical Field

[0001] The present invention relates to the technical field of seismic exploration, and in particular to a method, system and electronic equipment for controlling blasting source excitation based on environmental factors. Background Art

[0002] Blasting source excitation control technology is widely used in seismic exploration, mining blasting and engineering construction. Its goal is to generate expected source signals by accurately controlling blasting parameters to meet exploration needs or engineering effects. Seismic exploration is based on the theory of seismic wave propagation. It artificially excites seismic waves, records their propagation signals in the strata, and processes and interprets the signals to identify geological information such as underground geological structure and stratum distribution, thereby achieving the purpose of finding energy sources such as oil, gas, and coal. Among them, seismic waves excited by explosives are generally considered to be an ideal seismic energy source due to their good pulse characteristics and high energy.

[0003] However, in actual applications, the blasting effect is significantly affected by a variety of environmental factors, such as temperature, humidity, air pressure, wind speed and soil moisture. These environmental factors will directly or indirectly affect the detonation efficiency, source intensity and shock wave propagation characteristics of the explosives, making it difficult to stabilize the blasting effect; in addition, the existing explosive source excitation method usually relies on the high degree of coordination between seismic instruments, encoders and radio equipment, and transmits detonation instructions through radio signals. However, this method has high requirements for coordination between equipment and is easily affected by factors such as wireless signal transmission delay and interference, resulting in the synchronization and accuracy of seismic signals being difficult to guarantee.

[0004] For the construction scenario of wireless node seismic data acquisition instruments, the node equipment can usually continuously record vibration signals and GPS time after deployment and activation, and synchronize the excitation and acquisition time through post-processing after recovery. However, this method still requires the source device to independently complete the gun point navigation and explosive detonation, and accurately record the time and signal excitation information at the same time, and lacks dynamic adjustment capabilities to adapt to complex environmental conditions. Therefore, the existing technology has great limitations in real-time, synchronization, and adaptability to changing environments. Summary of the invention

[0005] The present application provides a blasting source excitation control method, system and electronic equipment based on environmental factors, which solves the technical problem in the prior art that the blasting source excitation control cannot adapt to complex environmental changes in real time, resulting in unsatisfactory blasting effects.

[0006] In view of the above problems, the present application provides a method, system and electronic equipment for blasting source excitation control based on environmental factors.

[0007] In a first aspect of the present application, a method for controlling blasting source excitation based on environmental factors is provided, the method comprising:

[0008] A blasting performance model is constructed and loaded into a core computing unit; sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link is constructed between the environmental sensor array and the core computing unit; after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit activates the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; blasting effect evaluation is performed on the blasting control adjustment values, and optimization correction is performed based on the evaluation results to obtain real-time blasting parameters; and source excitation adjustment control is performed using the real-time blasting parameters.

[0009] The second aspect of the present application provides a blasting source excitation control system based on environmental factors, the system comprising:

[0010] Model construction module: constructs a blasting performance model and loads the blasting performance model into the core computing unit; sensor deployment module: deploys sensors in the blasting area, obtains an environmental sensor array, and builds a wireless communication link between the environmental sensor array and the core computing unit; blasting control analysis module: after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; blasting effect evaluation module: evaluates the blasting effect of the blasting control adjustment value, and performs optimization correction based on the evaluation result to obtain real-time blasting parameters; source excitation adjustment control module: uses the real-time blasting parameters to perform source excitation adjustment control.

[0011] According to a third aspect of the present application, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0012] A blasting performance model is constructed and loaded into a core computing unit; sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link is constructed between the environmental sensor array and the core computing unit; after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit activates the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; blasting effect evaluation is performed on the blasting control adjustment values, and optimization correction is performed based on the evaluation results to obtain real-time blasting parameters; and source excitation adjustment control is performed using the real-time blasting parameters.

[0013] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0014] First, a blasting performance model is constructed and loaded into the core computing unit; then, sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link between the environmental sensor array and the core computing unit is constructed; further, after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; then, the blasting effect of the blasting control adjustment values ​​is evaluated, and optimization correction is performed based on the evaluation results to obtain real-time blasting parameters; finally, the real-time blasting parameters are used to perform source excitation adjustment control. The technical problem that the blasting source excitation control in the prior art cannot adapt to complex environmental changes in real time, resulting in unsatisfactory blasting effects, is solved, and the environmental factors are obtained in real time based on the environmental sensor array and intelligently adjusted in combination with the blasting performance model, so as to achieve the technical effect of improving the stability and adaptability of the blasting effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 A schematic flow chart of a method for controlling blasting source excitation based on environmental factors provided in an embodiment of the present application.

[0017] Figure 2 A schematic diagram of the structure of a blasting source excitation control system based on environmental factors provided in an embodiment of the present application.

[0018] Explanation of the reference numerals: model building module 11 , sensor deployment module 12 , blasting control analysis module 13 , blasting effect evaluation module 14 , source excitation adjustment control module 15 . DETAILED DESCRIPTION

[0019] The present application solves the technical problem in the prior art that blasting source excitation control cannot adapt to complex environmental changes in real time, resulting in unsatisfactory blasting effects, by providing a blasting source excitation control method, system and electronic equipment based on environmental factors.

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0021] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or electronic devices.

[0022] Embodiment 1, as Figure 1 As shown, the present application provides a method for controlling blasting source excitation based on environmental factors, wherein the method comprises:

[0023] A blasting performance model is constructed and loaded into a core computing unit.

[0024] In one embodiment, the system terminal pre-builds a blasting performance model based on the retrieved historical data. The blasting performance model is intended to simulate the influence of different factors on the blasting effect during the blasting process. These factors may include ambient temperature, ambient humidity, ambient air pressure, etc. By analyzing a large amount of historical data, a mathematical modeling method (such as regression analysis, neural network, etc.) is used to establish a model that can predict the relationship between blasting parameters (such as the current required for blasting, the delay of detonation, etc.) and different environmental parameters; after the model is built, the system terminal loads it into the core computing unit to ensure that it can receive input data (such as on-site environmental conditions, etc.) in real time and perform fast calculations. This core computing unit can be a high-performance computer (such as a server) or an embedded device, depending on the actual application scenario. By loading the model into the core computing unit, the system terminal can evaluate the blasting performance and make real-time adjustments to ensure the best blasting effect, thereby effectively improving the safety, efficiency and accuracy of the blasting operation.

[0025] Furthermore, the blasting performance model is constructed, and the method includes:

[0026] Interactively obtain source intensity constraints and propagation range constraints; screen historical data based on the source intensity constraints and propagation range constraints to obtain a historical environmental factor set and a historical blasting parameter set; parse the historical environmental factor set to obtain multiple sample environmental factors, wherein the sample environmental factors include sample environmental temperature, sample environmental humidity, sample environmental air pressure, sample environmental wind speed and sample soil moisture; parse the historical blasting parameter set to obtain multiple sample blasting parameters, wherein the sample blasting parameters include sample current, sample detonation delay and sample charging voltage; construct the blasting performance model using the multiple sample environmental factors and multiple sample blasting parameters.

[0027] Preferably, the system terminal interacts with the user terminal to clarify the source intensity and propagation range required for the blasting operation, and sets the source intensity constraint and propagation range constraint accordingly. These constraints are the core basis for subsequent data screening and model building. For example, the user can set the source intensity to reach a certain value or the shock wave propagation range to cover a certain area, so as to ensure that the blasting effect meets the actual operation requirements; then, the source intensity and propagation range constraints are used to screen out qualified records from the stored historical blasting data. These records include historical environmental conditions and corresponding blasting parameters, forming two data sets, namely the historical environmental factor set and the historical blasting parameter set. The purpose of this step is to ensure that subsequent analysis and model building are based on reliable and highly correlated data; then, the screened historical environmental data is parsed, and multiple sample environmental factors are extracted and generated. These samples The environmental factors specifically include sample environmental temperature, sample environmental humidity, sample environmental pressure, sample environmental wind speed and sample soil humidity, etc. These environmental factors are key variables affecting the blasting effect and can reflect the environmental characteristics under different operating conditions. At the same time, the screened historical blasting parameter data is analyzed to extract and generate multiple sample blasting parameters. These sample blasting parameters include important parameters for controlling the blasting process, including the sample current value at the time of detonation, the sample detonation delay and the sample charging voltage of the explosive, etc. These parameters directly determine the intensity and range of the blasting; then, the extracted sample environmental factors and sample blasting parameters are combined, and a blasting performance model is established through mathematical modeling or machine learning methods. The model can reflect the causal relationship between environmental factors and blasting parameters, and is used to predict how to adjust blasting parameters under specific environmental conditions to optimize the blasting effect. The construction of this model is a key step in realizing intelligent and dynamic blasting control. Through the above process, the system terminal can generate an accurate model based on historical data under complex and changing environmental conditions to guide actual blasting operations and ensure that the source excitation effect reaches the expected goal.

[0028] Furthermore, the blasting performance model is constructed using the multiple sample environmental factors and the multiple sample blasting parameters, and the method includes:

[0029] After causally associating the multiple sample environmental factors and the multiple sample blasting parameters, regression analysis is performed on the multiple sample environmental factors and the multiple sample blasting parameters to complete the construction of the current control branch, the detonation delay control branch and the charging voltage control branch; by connecting the current control branch, the detonation delay control branch and the charging voltage control branch in parallel, the construction of the blasting performance model is completed.

[0030] Optionally, the system terminal performs causal association analysis on the analyzed multiple sample environmental factors (such as temperature, humidity, air pressure, etc.) and sample blasting parameters (such as current, detonation delay, charging voltage, etc.), that is, assuming that the multiple sample environmental factors and each sample blasting parameter are linear multiple regressions, and then analyze the residual distribution of the multiple sample environmental factors and each sample blasting parameter. If the residuals of a certain sample blasting parameter and the multiple sample environmental factors are randomly distributed and the fitting results are good, it means that the sample blasting parameter has a linear causal relationship with the multiple sample environmental factors. If the residual distribution is obviously non-random (such as presenting an arc or other nonlinear characteristics), it means that the sample blasting parameter has a nonlinear causal relationship with the multiple sample environmental factors. On the basis of the causal association, the system terminal performs corresponding regression analysis according to the causal relationship between each sample blasting parameter and the multiple sample environmental factors. The purpose of the regression analysis is to use a mathematical function form (such as Linear multiple regression or polynomial regression) is used to establish an accurate mathematical model branch to reflect the specific impact of environmental factors on blasting parameters. For example, through regression analysis, the functional relationship between environmental factors and current is established to form a current correlation function. Through regression analysis, the functional relationship between environmental factors and detonation delay is established. Through regression analysis, the functional relationship between environmental factors and charging voltage is established, and corresponding model analysis is established based on these functions to obtain current control branches, detonation delay control branches and charging voltage control branches. These branches are independent models, and each branch outputs a corresponding blasting parameter value according to the input environmental factors; finally, these three control branches are integrated in parallel to form a comprehensive blasting performance model. Through parallel connection, the model can simultaneously receive environmental factor inputs and output multiple blasting parameters (such as current value, detonation delay, charging voltage, etc.) under a unified framework, thereby meeting the comprehensive needs of blasting operations. Through the above steps, the blasting performance model formed can dynamically calculate suitable parameters such as current, detonation delay and charging voltage according to the real-time changes in environmental conditions. The model can not only independently predict the optimal value of each blasting parameter, but also coordinate the cooperation relationship between multiple parameters to ensure that the blasting operation achieves the expected effect.

[0031] Furthermore, regression analysis is performed on the multiple sample environmental factors and the multiple sample blasting parameters to complete the construction of the current control branch, the detonation delay control branch and the charging voltage control branch. The method includes:

[0032] A plurality of sample currents are obtained by extracting from the plurality of sample blasting parameters; a polynomial regression analysis is performed on the plurality of sample environmental factors and the plurality of sample currents to obtain a current correlation function; and similarly, a single-dimensional index is extracted from the plurality of sample blasting parameters, and a regression analysis is performed based on the extraction results and the plurality of sample environmental factors to obtain a detonation delay correlation function and a charging voltage correlation function; and the current control branch, the detonation delay control branch and the charging voltage control branch are constructed based on the mapping of the detonation delay correlation function and the charging voltage correlation function.

[0033] Optionally, the system terminal separates the sample data related to the current from the multiple sample blasting parameters to form a separate sample current set. This step extracts the current part of the blasting parameters independently to provide a basis for subsequent regression analysis. Similarly, other blasting parameters (such as detonation delay and charging voltage) will also be extracted separately in subsequent steps; then, the causal relationship between the current and the environmental factors is extracted from the causal association analysis results. Usually, the causal relationship between the current and the environmental factors is nonlinear. At this time, the extracted sample current is used as the dependent variable, and multiple sample environmental factors (such as temperature, humidity, air pressure, wind speed, soil humidity, etc.) are used as independent variables to perform polynomial regression analysis. Through regression analysis, a mathematical relationship between the current and all environmental factors is established to form a current correlation function, for example, I=a1T 2+a2H+a3P+a4W+a5S, where I represents current, T, H, P, W, S represent ambient temperature, humidity, air pressure, wind speed and soil moisture respectively, a1, a2, a3, a4, a5 represent fitting coefficients respectively, the system terminal will input multiple sample environmental factors and multiple sample currents into this function, and solve it through gradient descent, least squares method or other optimization methods to minimize the prediction error of the regression model, thereby obtaining the specific values ​​of these coefficients and constructing the final current correlation function; after that, using the regression analysis of current as a template, similar processing is performed on other blasting parameters (such as detonation delay and charging voltage), extracting the detonation delay sample data, taking it as the dependent variable, and all environmental factors as independent variables, and performing regression analysis to establish the correlation function between the detonation delay and the environmental factors, that is, the detonation delay correlation Function, similarly, extract charging voltage sample data, take it as the dependent variable, and all environmental factors as independent variables, perform regression analysis, and establish the correlation function between charging voltage and environmental factors, that is, charging voltage correlation function; then, based on the current correlation function, detonation delay correlation function and charging voltage correlation function generated above, construct the current control branch, detonation delay control branch and charging voltage control branch by mapping, among which, the current control branch uses the current correlation function as the branch core to calculate and dynamically adjust the current parameters in the blasting operation, the detonation delay control branch is based on the detonation delay correlation function, and provides precise control of the detonation delay. The charging voltage control branch is based on the charging voltage correlation function to ensure that the charging voltage parameters meet the actual needs; finally, integrate the three control branches into a unified blasting performance model. The model can output the optimal parameter values ​​of current, detonation delay and charging voltage according to the real-time environmental factor input, so as to realize the all-round dynamic control of the blasting operation.

[0034] Sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link is established between the environmental sensor array and a core computing unit.

[0035] In one embodiment, the system terminal arranges various types of sensors in the blasting area according to the coverage range and environmental requirements of the blasting area according to a determined layout strategy to ensure that the area can be fully covered and blind spots can be avoided as much as possible. The arranged sensors usually include environmental temperature sensors, humidity sensors, air pressure sensors, etc., which can monitor environmental conditions in real time, such as temperature, humidity, air pressure, wind speed and soil moisture. After deployment, all sensors form an environmental sensor array. The sensors in the array work together in the form of multi-node distribution, and provide basic data support for the operation of the blasting performance model by collecting surrounding environmental data in real time. In order to realize data interaction between the sensor array and the core computing unit, it is necessary to establish an efficient wireless communication link. Therefore, the system terminal will equip each group of sensor nodes with a wireless communication module (such as Wi-Fi, LoRa, Bluetooth, etc.) to ensure that each group of nodes can transmit data stably. With the support of the wireless communication link, the environmental sensor array transmits the collected real-time environmental data to the core computing unit, and the core computing unit centrally processes the data and parses the data according to the model requirements to provide real-time basis for the adjustment of blasting parameters.

[0036] Furthermore, sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link between the environmental sensor array and a core computing unit is established. The method includes:

[0037] Feature extraction is performed on the blasting area to obtain environmental change features and regional area features; sensor layout strategy is matched according to the environmental change features and regional area features to obtain a real-time layout strategy; sensors are deployed in the blasting area with the real-time layout strategy as a constraint to obtain the environmental sensor array, wherein the environmental sensor array includes K multimodal sensor units; and wireless communication links are established between the K multimodal sensor units and a core computing unit.

[0038] Optionally, before the sensor is deployed, the system terminal extracts the characteristics of the environmental factors of the blasting area at the current moment and the preset time step closest to the current moment and the coverage of the blasting area, and determines the environmental change characteristics and regional area characteristics of the blasting area. These characteristics are used to match the layout strategy that the sensor should use when deploying from the sensor layout strategy group; then, the system terminal compares these characteristics with the conditions corresponding to each layout strategy in the sensor layout strategy group. If the environmental feature with the largest difference in the environmental change characteristics is greater than or equal to the preset environmental change characteristics, it means that the environmental characteristics of the blasting area will change significantly with depth, such as underground, wellhead, etc. At this time, a hierarchical layout strategy will be extracted from the sensor layout strategy group as the real-time layout strategy of the blasting area. This strategy will arrange sensors at different depths to form a vertical environmental monitoring chain; if the environmental feature with the largest difference in the environmental change characteristics is less than the preset environmental change characteristics, the layout strategy will be selected based on the regional area characteristics. If the regional area characteristics are less than or equal to the preset regional area characteristics, it means that the coverage of the blasting area is small. At this time, a ring layout strategy will be extracted from the sensor layout strategy group as the real-time layout strategy of the blasting area. This strategy will make the sensor Arrange around the blasting point to ensure that the environmental factors around the blasting point are fully captured. If the area feature of the region is greater than the preset area feature, it means that the coverage of the blasting area is large. At this time, the mesh layout strategy will be extracted from the sensor layout strategy group as the real-time layout strategy of the blasting area. This strategy will evenly arrange sensor nodes in the blasting area to form a continuous environmental monitoring network covering the entire blasting area; then, according to the real-time generated layout strategy, the system terminal deploys sensors in the blasting area to form an environmental sensor array. When arranging, it will ensure that the position of the sensor nodes meets the constraints of the layout strategy, for example, layered arrangement It needs to be fixed at different depths, and the mesh layout needs to ensure uniform distribution between nodes. The arranged environmental sensor array includes K multimodal sensor units, each of which can monitor multiple environmental factors (such as temperature, humidity, air pressure, wind speed and soil moisture) at the same time, providing comprehensive data support for the subsequent blasting performance model; then, in order to realize the data interaction between the sensor array and the core computing unit, the system terminal builds a wireless communication link for the K multimodal sensor units, that is, equips each multimodal sensor unit with a wireless communication module, so that the environmental sensor array can transmit the real-time collected data to the core computing unit, providing a basis for dynamically adjusting the blasting parameters. Through the above steps, the sensor deployment and the construction of the wireless communication link can be completed, ensuring comprehensive environmental data collection and stable transmission, and providing reliable data support for precise blasting control.

[0039] Furthermore, the multimodal sensing unit integrates an ambient temperature sensor, an ambient humidity sensor, an ambient air pressure sensor, an ambient wind speed sensor and a soil moisture sensor.

[0040] Optionally, a multimodal sensing unit is an integrated sensing device that can simultaneously realize real-time monitoring of multiple environmental factors in a single device to provide comprehensive environmental data support. Each multimodal sensing unit includes multiple components, namely, an ambient temperature sensor, an ambient humidity sensor, an ambient air pressure sensor, an ambient wind speed sensor, and a soil moisture sensor. Among them, the ambient temperature sensor is used to monitor the air temperature in the blasting area in real time, the ambient humidity sensor is used to measure the humidity level in the air, the ambient air pressure sensor is used to monitor the change in air pressure, especially in high-altitude or underground operation scenarios, the ambient wind speed sensor is used to measure the wind speed and wind direction in the blasting area, and the soil moisture sensor is used to detect the humidity level of the surface or underground soil in the blasting area. By integrating these sensors, the multimodal sensing unit can efficiently and accurately monitor the environmental characteristics of the blasting area, providing a rich data basis for blasting control and optimization.

[0041] After the environmental sensor array transmits the real-time environmental factors back to the core computing unit, the core computing unit activates the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values.

[0042] In one embodiment, the environmental sensor array transmits the collected real-time environmental factors back to the core computing unit through a wireless communication link. These data include environmental temperature, humidity, air pressure, wind speed, soil moisture and other information collected by multiple multimodal sensing units, reflecting the real-time environmental conditions of the blasting area; after receiving the environmental data, the core computing unit will assign weights to each multimodal sensing unit based on the distance between each multimodal sensing unit and the blasting source; then, the real-time environmental factors collected by all multimodal sensing units are weighted and fused, and the fusion results are input into the blasting performance model, which will use the input environmental factors to dynamically analyze the impact of environmental conditions on blasting parameters, and output blasting control adjustment values, including current adjustment values ​​(to ensure detonation stability), detonation delay adjustment values ​​(to ensure the accuracy of blasting timing), and charging voltage adjustment values ​​(to optimize explosive detonation energy). Through this process, the blasting parameters can be dynamically adjusted in combination with real-time environmental data to ensure that the blasting operation can still achieve the best effect under complex environmental conditions.

[0043] Furthermore, after the environmental sensor array transmits the real-time environmental factors back to the core computing unit, the core computing unit activates the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values. The method includes:

[0044] The blasting source is located in the blasting area, and the inverse distance weight configuration is performed according to the spatial position of the blasting source and K multimodal sensor units to obtain K sensor confidence weights; the environmental sensor array transmits the real-time environmental factors back to the core computing unit, wherein the real-time environmental factors include K node environmental factors collected by the K multimodal sensor units; the core computing unit performs inverse distance weighted fusion on the K node environmental factors according to the K sensor confidence weights to obtain updated environmental factors; the updated environmental factors are input into the blasting performance model, and the control single-dimensional analysis is performed through the current control branch, the detonation delay control branch and the charging voltage control branch of the blasting performance model to output the blasting control adjustment value.

[0045] Optionally, in the core computing unit, the system terminal will locate the specific location of the blasting source in the blasting area as the core reference point for analysis, and calculate the confidence weight of each sensor according to the spatial distance between the blasting source and the K multimodal sensing units. Sensors with closer distances measure the blasting area environment more accurately, so they are given higher weights. Sensors with farther distances may have limited measurement accuracy, so they are given lower weights. The weights are calculated by the inverse distance formula w i =d i -1 Calculate, where w i is the weight of the i-th multimodal sensor unit, d i is the distance from the i-th multimodal sensor unit to the blast source; then, the node environmental factors (such as temperature, humidity, air pressure, wind speed, soil moisture, etc.) collected by the K multimodal sensor units transmitted back by the environmental sensor array through the wireless communication link are matched with the corresponding confidence weights. These node environmental factors reflect the environmental conditions monitored at different locations in the blasting area. By multiplying the calculated sensor confidence weights with the corresponding node environmental factors, the updated environmental factors are calculated by weighted fusion as a comprehensive description of the overall environmental conditions of the blasting area; then, the updated environmental factors are input into the blasting performance model for further analysis of the blasting parameters. Each control branch of the model processes specific blasting parameters respectively. The internal current control branch dynamically adjusts the current parameters according to the updated environmental factors. The detonation delay control branch calculates the optimized detonation delay value. The charging voltage control branch determines the charging voltage value suitable for the current environment. After the three control branches of the blasting performance model complete separate analysis, they output optimized blasting control adjustment values, including current value, detonation delay, and charging voltage. Through the above process, dynamic adjustment from sensor data to blasting parameter optimization is achieved, ensuring the efficiency and reliability of blasting operations under different environmental conditions.

[0046] The blasting effect of the blasting control adjustment value is evaluated, and optimization correction is performed based on the evaluation result to obtain real-time blasting parameters.

[0047] In one embodiment, the system terminal applies the calculated blasting control adjustment values ​​(such as current, detonation delay, charging voltage, etc.) to a virtual blasting scenario, and evaluates whether these adjustment values ​​can achieve the expected goals through blasting effect simulation. The simulation effects include source intensity, propagation range, etc. By comparing the simulation effect values ​​with pre-set constraints, it is determined whether the current blasting control adjustment values ​​can meet the expected effects. If the deviation of the source intensity is greater than the corresponding threshold, it may be necessary to increase the current or charging voltage. If the deviation of the propagation range is greater than the corresponding threshold, it may be necessary to shorten the detonation delay or adjust the charging voltage. According to the results of the blasting effect evaluation, the system terminal dynamically optimizes the blasting control adjustment values ​​to make the simulation effect closer to the expected goal. After multiple rounds of evaluation and correction, when the adjusted parameters can meet the threshold requirements, the system terminal generates the final real-time blasting parameters, which include the optimal current value, detonation delay and charging voltage. The real-time blasting parameters are stored and ready to be applied to actual blasting operations to ensure the best blasting effect under complex environmental conditions while minimizing the adverse effects on the surrounding environment.

[0048] Furthermore, the blasting effect of the blasting control adjustment value is evaluated, and an optimization correction is performed based on the evaluation result to obtain a real-time blasting parameter. The method includes:

[0049] Collect geographic data of the blasting area to obtain regional terrain features and regional soil types; perform particle modeling based on the regional terrain features and regional soil types to obtain a regional environmental model; after loading the updated environmental factors into the regional environmental model, use the blasting control adjustment value to perform blasting simulation to obtain a simulated blasting effect, wherein the simulated blasting effect includes a source intensity simulation value and a propagation range simulation value; perform deviation calculation on the source intensity simulation value, propagation range simulation value, source intensity constraint and propagation range constraint, and dynamically update the blasting control adjustment value based on the calculation result; and so on, until the real-time blasting parameters whose deviations meet the preset threshold are obtained.

[0050] Optionally, in the blasting area, the regional terrain features and soil types are collected by measuring tools or sensors to obtain the regional terrain features and soil types, wherein the regional terrain features include terrain information such as the height distribution, slope, and surface roughness of the blasting area, which are used to simulate the propagation path and energy distribution of the seismic wave; the regional soil types include soil density, elastic modulus, damping coefficient, particle composition and other characteristics to evaluate the absorption and attenuation effect of the soil on the seismic wave; then, the system terminal decomposes the area into grids according to the terrain features and soil types, generates a particle at the center of each grid, thereby discretizing the terrain and soil characteristics of the blasting area into multiple particles, each particle represents a discrete point in the area, including the ground The system terminal allocates mass to each particle according to soil density, and allocates elastic and damping properties of particles according to soil elastic modulus and damping coefficient to simulate deformation and energy loss during shock wave propagation. Then, initial coordinates are assigned according to the geographical location of each particle to form a three-dimensional model of the entire area, namely the regional environmental model. This model can dynamically simulate the propagation path, speed and energy changes of blasting shock waves in the area, providing an accurate basis for simulating blasting effects. Afterwards, the system terminal loads updated environmental factors into the regional environmental model. Updated environmental factors will affect the interaction rules between particles. For example, high temperature may reduce the elastic modulus of the soil, and changes in humidity may change the damping coefficient of the soil. Characteristics, and then input the blasting control adjustment value into the regional environmental model loaded with updated environmental factors to simulate the source intensity and propagation range of the blasting. Different blasting control adjustment values ​​will affect the initial energy and propagation behavior of the shock wave. The regional environmental model will generate a simulated blasting effect including the source intensity simulation value and the propagation range simulation value according to the simulated situation, wherein the source intensity simulation value represents the energy release intensity of the shock wave at the source, and the propagation range simulation value represents the propagation radius or the influence range of the shock wave; then, the system terminal compares the source intensity simulation value and the propagation range simulation value with the preset target constraint values ​​(source intensity constraint and propagation range constraint), calculates the absolute deviation of each simulation value, and if there is an absolute deviation exceeding If the preset threshold is exceeded, it indicates that the current blasting control adjustment value needs to be optimized. At this time, the deviation result will be analyzed. If only the deviation between the source intensity simulation value and the source intensity constraint is negative, and the absolute deviation is greater than the corresponding threshold, the current current will be added with k times (adjustment coefficient, determined by expert decision) of the absolute deviation. If the deviation is positive and the absolute deviation is greater than the corresponding threshold, the current current will be subtracted with k times the absolute deviation. If only the deviation between the propagation range simulation value and the propagation range constraint is negative, and the absolute deviation is greater than the corresponding threshold, the current detonation delay will be subtracted with the dynamic adjustment step (i.e., the duration of each adjustment). If the deviation is positive and the absolute deviation is greater than the corresponding threshold, the current detonation delay will be added with the dynamic adjustment step.If the deviations of the simulated value of the earthquake source intensity and the simulated value of the propagation range from the corresponding constraints are both negative, and the absolute deviations of the two are greater than the corresponding threshold, the current charging voltage will be added with k times the average absolute deviation. If the deviations are both positive and the absolute deviations are greater than the corresponding threshold, the current charging voltage will be subtracted from k times the average absolute deviation. After the adjustment is completed, the above simulation process is repeated. If it still does not meet the requirements of the preset threshold, the above simulation and adjustment process will be repeated to gradually optimize the blasting control adjustment value until the deviations of the simulated earthquake source intensity and the propagation range meet the preset threshold requirements, thereby generating the final real-time blasting parameters to ensure the optimal blasting effect in the actual environment. ;

[0051] The real-time blasting parameters are used to perform source excitation adjustment control.

[0052] In one embodiment, after obtaining the real-time blasting parameters, the system terminal directly applies the real-time blasting parameters (such as current, detonation delay and charging voltage) to the control link of the blasting operation. These parameters are accurately calculated based on the real-time environmental factors of the blasting area (such as temperature, humidity, air pressure, etc.) and the simulation results of the regional environmental model, which can ensure the best source excitation effect under the current environmental conditions. In the specific implementation, the current parameters are used to adjust the detonation energy of the blasting equipment to ensure the detonation stability of the explosives. The detonation delay parameters are used to accurately control the detonation timing of different sources to avoid shock wave interference or timing disorder of multi-point blasting. The charging voltage parameters are used to optimize the release efficiency of the detonation energy to ensure that the blasting energy reaches the best state when excited. By inputting these real-time blasting parameters into the blasting control system, the blasting control system can automatically complete the adjustment of the source excitation process according to the parameter instructions, including the release of detonation energy, the start of shock wave propagation, etc., thereby realizing precise control and achieving the expected blasting effect.

[0053] In summary, the embodiments of the present application have at least the following technical effects:

[0054] First, a blasting performance model is constructed and loaded into the core computing unit; then, sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link between the environmental sensor array and the core computing unit is constructed; further, after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; then, the blasting effect of the blasting control adjustment values ​​is evaluated, and optimization correction is performed based on the evaluation results to obtain real-time blasting parameters; finally, the real-time blasting parameters are used to perform source excitation adjustment control. The technical problem that the blasting source excitation control in the prior art cannot adapt to complex environmental changes in real time, resulting in unsatisfactory blasting effects, is solved, and the environmental factors are obtained in real time based on the environmental sensor array and intelligently adjusted in combination with the blasting performance model, so as to achieve the technical effect of improving the stability and adaptability of the blasting effect.

[0055] Embodiment 2 is based on the same inventive concept as the blasting source excitation control method based on environmental factors in the above embodiment. Figure 2 As shown, the present application provides a blasting source excitation control system based on environmental factors, wherein the system includes:

[0056] Model construction module 11: construct a blasting performance model and load the blasting performance model into the core computing unit; sensor deployment module 12: deploy sensors in the blasting area, obtain an environmental sensor array, and build a wireless communication link between the environmental sensor array and the core computing unit; blasting control analysis module 13: after the environmental sensor array transmits real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs blasting control adjustment values; blasting effect evaluation module 14: evaluate the blasting effect of the blasting control adjustment value, and perform optimization correction based on the evaluation result to obtain real-time blasting parameters; source excitation adjustment control module 15: use the real-time blasting parameters to perform source excitation adjustment control.

[0057] Furthermore, the model building module 11 is also used to execute the following method:

[0058] Interactively obtain source intensity constraints and propagation range constraints; screen historical data based on the source intensity constraints and propagation range constraints to obtain a historical environmental factor set and a historical blasting parameter set; parse the historical environmental factor set to obtain multiple sample environmental factors, wherein the sample environmental factors include sample environmental temperature, sample environmental humidity, sample environmental air pressure, sample environmental wind speed and sample soil moisture; parse the historical blasting parameter set to obtain multiple sample blasting parameters, wherein the sample blasting parameters include sample current, sample detonation delay and sample charging voltage; construct the blasting performance model using the multiple sample environmental factors and multiple sample blasting parameters.

[0059] Furthermore, the model building module 11 is also used to execute the following method:

[0060] After causally associating the multiple sample environmental factors and the multiple sample blasting parameters, regression analysis is performed on the multiple sample environmental factors and the multiple sample blasting parameters to complete the construction of the current control branch, the detonation delay control branch and the charging voltage control branch; by connecting the current control branch, the detonation delay control branch and the charging voltage control branch in parallel, the construction of the blasting performance model is completed.

[0061] Furthermore, the model building module 11 is also used to execute the following method:

[0062] A plurality of sample currents are obtained by extracting from the plurality of sample blasting parameters; a polynomial regression analysis is performed on the plurality of sample environmental factors and the plurality of sample currents to obtain a current correlation function; and similarly, a single-dimensional index is extracted from the plurality of sample blasting parameters, and a regression analysis is performed based on the extraction results and the plurality of sample environmental factors to obtain a detonation delay correlation function and a charging voltage correlation function; and the current control branch, the detonation delay control branch and the charging voltage control branch are constructed based on the mapping of the detonation delay correlation function and the charging voltage correlation function.

[0063] Furthermore, the sensor deployment module 12 is also used to execute the following method:

[0064] Feature extraction is performed on the blasting area to obtain environmental change features and regional area features; sensor layout strategy is matched according to the environmental change features and regional area features to obtain a real-time layout strategy; sensors are deployed in the blasting area with the real-time layout strategy as a constraint to obtain the environmental sensor array, wherein the environmental sensor array includes K multimodal sensor units; and wireless communication links are established between the K multimodal sensor units and a core computing unit.

[0065] Furthermore, the sensor deployment module 12 is also used to execute the following method:

[0066] The multimodal sensing unit integrates an ambient temperature sensor, an ambient humidity sensor, an ambient air pressure sensor, an ambient wind speed sensor and a soil moisture sensor.

[0067] Furthermore, the blasting control analysis module 13 is also used to execute the following method:

[0068] The blasting source is located in the blasting area, and the inverse distance weight configuration is performed according to the spatial position of the blasting source and K multimodal sensor units to obtain K sensor confidence weights; the environmental sensor array transmits the real-time environmental factors back to the core computing unit, wherein the real-time environmental factors include K node environmental factors collected by the K multimodal sensor units; the core computing unit performs inverse distance weighted fusion on the K node environmental factors according to the K sensor confidence weights to obtain updated environmental factors; the updated environmental factors are input into the blasting performance model, and the control single-dimensional analysis is performed through the current control branch, the detonation delay control branch and the charging voltage control branch of the blasting performance model to output the blasting control adjustment value.

[0069] Furthermore, the blasting effect evaluation module 14 is also used to execute the following method:

[0070] Collect geographic data of the blasting area to obtain regional terrain features and regional soil types; perform particle modeling based on the regional terrain features and regional soil types to obtain a regional environmental model; after loading the updated environmental factors into the regional environmental model, use the blasting control adjustment value to perform blasting simulation to obtain a simulated blasting effect, wherein the simulated blasting effect includes a source intensity simulation value and a propagation range simulation value; perform deviation calculation on the source intensity simulation value, propagation range simulation value, source intensity constraint and propagation range constraint, and dynamically update the blasting control adjustment value based on the calculation result; and so on, until the real-time blasting parameters whose deviations meet the preset threshold are obtained.

[0071] Embodiment three, based on the same inventive concept as the blasting source excitation control method based on environmental factors in the aforementioned embodiment one, the present application provides an electronic device, which may be a server, comprising a processor, a memory and a network interface connected via a system bus, wherein the processor of the electronic device is used to provide computing and control capabilities, the memory of the electronic device comprises a non-volatile storage medium and an internal memory, the non-volatile storage medium stores an operating system, a computer program and a database, the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium, the database of the electronic device is used to store data, the network interface of the electronic device is used to communicate with an external terminal via a network connection, and the computer program is executed by the processor to implement the blasting source excitation control method based on environmental factors.

[0072] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0074] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for controlling blasting source excitation based on environmental factors, characterized in that: The method comprises: Constructing a blasting performance model, and loading the blasting performance model into a core computing unit; Deploy sensors in the blasting area to obtain an environmental sensor array, and establish a wireless communication link between the environmental sensor array and a core computing unit; After the environmental sensor array transmits the real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs a blasting control adjustment value; Evaluate the blasting effect of the blasting control adjustment value, and perform optimization correction based on the evaluation result to obtain real-time blasting parameters; The real-time blasting parameters are used to perform source excitation adjustment control.

2. The method for controlling blasting source excitation based on environmental factors according to claim 1, characterized in that: Constructing a blasting performance model, the method comprising: Interactively obtain source intensity constraints and propagation range constraints; Screening historical data based on the earthquake source intensity constraint and the propagation range constraint to obtain a historical environmental factor set and a historical blasting parameter set; Parsing the historical environmental factor set to obtain a plurality of sample environmental factors, wherein the sample environmental factors include sample environmental temperature, sample environmental humidity, sample environmental air pressure, sample environmental wind speed, and sample soil humidity; Parsing the historical blasting parameter set to obtain a plurality of sample blasting parameters, wherein the sample blasting parameters include a sample current, a sample detonation delay, and a sample charging voltage; The blasting performance model is constructed using the multiple sample environmental factors and the multiple sample blasting parameters.

3. The method for controlling blasting source excitation based on environmental factors according to claim 2, characterized in that: The blasting performance model is constructed using the multiple sample environmental factors and the multiple sample blasting parameters, and the method includes: After causally associating the multiple sample environmental factors with the multiple sample blasting parameters, regression analysis is performed on the multiple sample environmental factors and the multiple sample blasting parameters to complete the construction of the current control branch, the detonation delay control branch, and the charging voltage control branch; The construction of the blasting performance model is completed by connecting the current control branch, the detonation delay control branch and the charging voltage control branch in parallel.

4. The method for controlling blasting source excitation based on environmental factors according to claim 3, characterized in that: Sensors are deployed in the blasting area to obtain an environmental sensor array, and a wireless communication link between the environmental sensor array and a core computing unit is established. The method includes: Extracting features of the blasting area to obtain environmental change features and regional area features; Perform sensor layout strategy matching according to the environmental change characteristics and regional area characteristics to obtain a real-time layout strategy; Using the real-time layout strategy as a constraint, sensors are deployed in the blasting area to obtain the environmental sensor array, wherein the environmental sensor array includes K multi-modal sensor units; Establish wireless communication links between the K multimodal sensing units and the core computing unit.

5. The method for controlling blasting source excitation based on environmental factors according to claim 4, characterized in that: The multimodal sensing unit integrates an ambient temperature sensor, an ambient humidity sensor, an ambient air pressure sensor, an ambient wind speed sensor and a soil moisture sensor.

6. The method for controlling blasting source excitation based on environmental factors according to claim 4, characterized in that: After the environmental sensor array transmits the real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs a blasting control adjustment value. The method includes: Locating a blasting source in the blasting area, and performing inverse distance weight configuration according to the spatial positions of the blasting source and K multimodal sensing units to obtain K sensing confidence weights; The environmental sensor array transmits the real-time environmental factors back to the core computing unit, wherein the real-time environmental factors include K node environmental factors collected by the K multimodal sensor units; The core computing unit performs inverse distance weighted fusion on the K node environmental factors according to the K sensor confidence weights to obtain updated environmental factors; The updated environmental factors are input into the blasting performance model, and a single-dimensional control analysis is performed through the current control branch, the detonation delay control branch and the charging voltage control branch of the blasting performance model to output the blasting control adjustment value.

7. The method for controlling blasting source excitation based on environmental factors according to claim 6, characterized in that: The blasting effect of the blasting control adjustment value is evaluated, and an optimization correction is performed based on the evaluation result to obtain a real-time blasting parameter. The method includes: Collecting geographic data of the blasting area to obtain regional topographic features and regional soil types; Perform particle method modeling according to the regional terrain characteristics and regional soil types to obtain a regional environmental model; After the updated environmental factors are loaded into the regional environmental model, the blasting simulation is performed using the blasting control adjustment value to obtain a simulated blasting effect, wherein the simulated blasting effect includes a simulated value of the earthquake source intensity and a simulated value of the propagation range; Performing deviation calculation on the earthquake source intensity simulation value, the propagation range simulation value, the earthquake source intensity constraint and the propagation range constraint, and dynamically updating the blasting control adjustment value according to the calculation results; And so on, until the real-time blasting parameter whose deviation meets the preset threshold is obtained.

8. The method for controlling blasting source excitation based on environmental factors according to claim 3, characterized in that: Regression analysis is performed on the multiple sample environmental factors and the multiple sample blasting parameters to complete the construction of the current control branch, the detonation delay control branch and the charging voltage control branch. The method includes: extracting a plurality of sample currents from the plurality of sample burst parameters; Performing polynomial regression analysis on the multiple sample environmental factors and the multiple sample currents to obtain a current correlation function; Similarly, a single-dimensional index is extracted from the multiple sample blasting parameters, and a regression analysis is performed based on the extraction results and the multiple sample environmental factors to obtain a detonation delay correlation function and a charging voltage correlation function; The current control branch, the detonation delay control branch and the charging voltage control branch are constructed based on the mapping of the detonation delay correlation function and the charging voltage correlation function.

9. The blasting source excitation control system based on environmental factors is characterized by: The method for controlling blasting source excitation based on environmental factors according to any one of claims 1 to 8 comprises: Model building module: building a blasting performance model and loading the blasting performance model into a core computing unit; Sensor deployment module: deploy sensors in the blasting area, obtain an environmental sensor array, and build a wireless communication link between the environmental sensor array and the core computing unit; Blasting control analysis module: after the environmental sensor array transmits the real-time environmental factors back to the core computing unit, the core computing unit starts the blasting performance model to perform blasting control analysis on the real-time environmental factors and outputs a blasting control adjustment value; Blasting effect evaluation module: evaluates the blasting effect of the blasting control adjustment value, and performs optimization correction based on the evaluation result to obtain real-time blasting parameters; Source excitation adjustment control module: uses the real-time blasting parameters to perform source excitation adjustment control.

10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the blasting source excitation control method based on environmental factors as described in any one of claims 1 to 8 are implemented.

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