System for automated blast design planning and related method thereof
Patent Information
- Application Number
- JP2024211781
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2019-02-05
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-05
Smart Images

Figure 2025029138000001_ABST
Abstract
Description
[Technical field]
[0001] CROSS-REFERENCE TO RELATED APPLICATIONS This application is a joint venture of "SYSTEMS FOR AUTOMATION" filed on February 5, 2019. ATED BLAST DESIGN PLANNING AND METHODS R U.S. Provisional Patent Application No. 62 / 801,312, entitled "ELATED THERETO" Priority is claimed to the specification, the contents of which are incorporated herein by reference in their entirety. is incorporated herein by reference.
[0002] The present disclosure relates generally to explosives. More particularly, the present disclosure relates to a method for designing a blasting scheme. , systems and devices. Summary of the Invention [Means for solving the problem]
[0003] The embodiments disclosed herein are illustrated in the following description and accompanying drawings, which should be read in conjunction with the accompanying drawings. The scope of the present invention will become more fully apparent from the following claims. The drawings are primarily generalized embodiments. The embodiments will be described with further specificity and detail in conjunction with the drawings. [Brief description of the drawings]
[0004] [Figure 1] FIG. 1 illustrates a network diagram of a blast planning modeling system according to one embodiment. [Diagram 2] 1 illustrates a personal electronic device displaying a drone scan path according to one embodiment. [Diagram 3] FIG. 1 illustrates a block diagram of a blast design system according to one embodiment. [Figure 4] 1 illustrates a flowchart of a method for generating a blast design according to one embodiment. [Diagram 5]1 illustrates a flowchart of a method for generating a blast design by running multiple simulations for multiple possible permutations, according to one embodiment. [Figure 6] 1 illustrates an example of a method for generating a multiple permutation data set from blast data, according to one embodiment. [Figure 7] 1 illustrates an example of a method for simulating permutations of a data set according to one embodiment. [Figure 8A] 1 illustrates a first portion of a method for generating blast level details according to one embodiment. [Figure 8B] 1 illustrates a second portion of a method for generating blast level details according to one embodiment. [Figure 9] 1 illustrates a method for finding a preferred distance for a blast site according to one embodiment. [Figure 10] 1 illustrates a method for generating hole level details at a given minimum resistance line and spacing according to one embodiment. [Figure 11] 1 illustrates a method for testing the validity of a planned blast design, according to one embodiment. [Figure 12] 1 illustrates a method for calculating certain properties of a valid design, according to one embodiment. [Figure 13] 1 shows a graph of an exemplary blast plan result scored based on vibration. [Figure 14] 1 illustrates a method for editing the minimum resistance line and interval according to one embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0005] Explosives are commonly used in the mining, quarrying and drilling industries to break up rocks and ores. Generally, a hole called a "blast hole" is drilled into the ground or surface. Then, explosives are injected into the blast hole. Typically, multiple blast holes are used to break up large volumes of rock and ore. The use of multiple blast holes introduces complexity into blast planning. Hole spacing, blast hole line of least resistance, blast hole depth, blast hole pattern, number of blast holes, geological characteristics The explosive composition of the explosives may vary based on several factors, including the gender, type of explosive, and amount of explosive. Even for the blast engineer, the number of possibilities makes blast planning difficult.
[0006] Described herein are embodiments for generating blast plans. Blast data may be received, including site geological characteristics, blast hole parameters, and available explosives Based on the received blast data, embodiments herein determine the minimum resistance line and spacing. can be identified and a blast plan can be generated.
[0007] The blast design or plan includes the placement of blast holes, the geometry of the blast holes and the explosives to be used. nothing.
[0008] The components of the embodiments outlined herein below and illustrated in the figures may be implemented in a variety of different ways. It will be readily understood that the present invention may be arranged and designed in any suitable manner, including, for example, steps of a method. The steps do not necessarily have to be performed in any particular order or sequentially, and the steps may only be performed once. Therefore, the following of the various embodiments described below and illustrated in the figures need not be performed. The more detailed description is not intended to limit the scope of the disclosure but is merely representative of various embodiments. Various aspects of the embodiments are presented in drawings, but unless otherwise noted, the drawings do not necessarily represent the same. are not drawn to scale.
[0009] The embodiments and implementations of the blast planning system and method described herein are computer-implemented. The present invention includes various steps that may be embodied in machine-executable instructions that are executed by the computer system. A computer system may consist of one or more general-purpose or special-purpose computers (or other A computer system may include specific logic that performs steps. It may include hardware components such as The firmware may include a combination of:
[0010] Embodiments include computer systems or A computer readable medium storing instructions that can be used to program other electronic devices. The computer program product may include a computer-readable medium. , including but not limited to hard drives, floppy disks, optical disks, CD-ROMs, VD-ROM, ROM, RAM, EPROM, EEPROM, magnetic or optical cards, A physical memory device or other type of medium suitable for storing electronic instructions / computer-readable It may include a medium.
[0011] The computer system and the computers in the computer system form a network. Any suitable network for configuration and / or use as described herein may be connected via A network may consist of one or more local area networks, wide area networks, metropolitan area networks, network and / or the World Wide Web, private internet, secure Internet, Value Added Networks, Virtual Private Networks, Extranets A stand that communicates with other machines via a network, intranet, or even physical transport of media. Including the Internet or IP networks such as Alon Machinery. In particular, suitable networks 2. Networks using discrete hardware and network communication technologies The network may be formed in part or in whole from one or more other networks.
[0012] One suitable network includes a server and several clients, and another suitable network includes a The network may include other combinations of servers, clients and / or peer-to-peer nodes. Thus, a given computer system may function as both a client and a server. Each network has at least two computers, such as a server and / or a client. The present invention includes a computer system. The computer system includes a workstation, a laptop, Top computers, disconnectable mobile computers, servers, mainframes, computers, so-called "network computers" or "thin clients," tablets, smartphone, personal digital assistant or other handheld computing device, "smart " may include consumer electronic devices or appliances, medical devices, or a combination thereof.
[0013] Suitable networks include Novell, Microsoft and communications or networking software, such as software available from other vendors. may include TCP / IP, SPX, IPX and twisted pair, coaxial cable or fiber optic cable; telephone lines; radio waves; satellites; microwave relays; modulated AC power lines; physical media transport; and / or operate using other protocols over other data transmission "wires" known to those skilled in the art. A network may contain smaller networks and / or gateways. or may be connectable to other networks through similar mechanisms.
[0014] Each computer system includes one or more processors and / or memory. The computer system may also include a variety of input and / or output devices. The processor may be an Intel®, AMD® or other "off-the-shelf" The processor may be an ASIC, SoC, SiP, or other general-purpose device. FPGA, PAL, PLA, FPLA, PLD or other customized devices or The memory may include dedicated processing devices such as static RAM, Dynamic RAM, Flash memory, one or more flip-flops, ROM, CD-RO M, disk, tape, magnetic, optical or other computer storage media. The device includes a keyboard, mouse, touch screen, light pen, tablet, microphone, sensors or other hardware with associated firmware and / or software Output devices may include a monitor or other display, a printer, a speech or text synthesizers, switches, signal lines or firmware and / or software It may include other associated hardware.
[0015] Computer systems include floppy drives, tape drives, optical drives, magnetic It may be possible to use an optical drive or other means of reading the storage medium. A storage medium includes any magnetic, optical, or other computer-readable storage device having a particular physical configuration. Suitable storage devices include floppy disks, hard disks, tapes, and CD-Rs. OM, DVD, PROM, RAM, Flash memory and other computer system storage The physical configuration allows the computer system to function in a particular manner as described herein. It represents data and instructions that cause an object to operate in a defined manner.
[0016] Software suitable for assisting in the practice of the present invention may be implemented in accordance with the techniques presented herein as well as Java, Pascal, C++, C, PHP, .Net, Database languages, APIs, SDK, assembly, firmware, microcode and / or other languages and tools, etc. The programming languages and tools of the present invention can be easily implemented by those skilled in the art. The format may include error detection and / or correction bits in analog or digital form. packet headers, network addresses in a particular format and / or other related With or without other supporting data that would be readily provided by one of ordinary skill in the art. It is possible.
[0017] Aspects of certain embodiments may be implemented as software modules or components. As used herein, a software module or component is a Any type of computer instructions or computer program located in or on a computer-readable storage medium. A software module may include, for example, one or more Routines, programs, or operations that perform a number of tasks or implement a particular abstract data type. A set of computer instructions that can be organized as objects, components, data structures, etc. A particular software module may include: Various computer readable storage media that together perform the functions of the modules described. In practice, a module may comprise one or more discrete instructions stored in different locations. The instructions may be spread across several different code segments, across different programs, and The method may be distributed across several computer readable storage media.
[0018] Some embodiments may involve tasks being performed by remote processes linked through a communications network. The present invention may be implemented in a distributed computing environment in which the software is executed by multiple devices. The modules may be located on local and / or remote computer readable storage media. In addition, data that are linked or provided together in a database record The data may reside in the same computer readable storage medium or may be stored in several computer readable storage media. It can exist across the entire body, across the network, in the fields of records in the database. According to one embodiment, a database management system (DBMS) , allowing a user to interact with one or more databases, Providing access to data.
[0019] FIG. 1 illustrates a network diagram of a blast planning modeling system 100 according to one embodiment. The blast planning modeling system 100 receives images of the blast site and creates a three-dimensional model of the blast site. In the illustrated embodiment, the blast plan modeling system 100 includes a personal electronic device (PED) 102, a drone 104, and a blast design system 1 Including 06.
[0020] The PED102 is compatible with, but not limited to, mobile phones, smartphones, and portable computing devices. , tablet computers, laptop computers, notebook computers, pieces Personal digital assistants (PDAs), palmtop computers, handheld computers, portable portable navigation devices, personal navigation assistants (e.g. Any GPS unit, drone controller, etc. The PED 102 communicates with the drone 104 and The PED 102 may provide flight plans and blast site perimeters, and In some embodiments, the PED 102 may provide the drone 104 with a command, a command, or a manual command. and the blast design system 106 may be the same device. D102 may be absent and the blast design system 106 may control the drone 104.
[0021] The drone 104 may capture images as it follows the scan path. , and a live feed to the PED 102. The drone 104 may The location coordinates and elevation of the blast may also be provided to the blast design system 106. In an embodiment, a camera, cell phone or other electronic device may be used to capture the image.
[0022] The blast design system 106 may receive the images and generate a three-dimensional model. The system 106 collects user information such as geological characteristics of the blast site, blast hole parameters, and available explosives. It is also possible to receive user-defined parameters. The design system 106 may identify minimum resistance lines and spacing for a blast plan. 06 can overlay a blast plan onto a 3D model and present the overlaid model to engineers. The engineer can make modifications and submit the final blast plan to the field equipment 108 and the field equipment 109 for implementation. It may be transmitted to 108 operators.
[0023] In some embodiments, a drone 104 or other image capturing device captures post-blast images. The blast design system 106 performs post-blast analysis and uses the results in subsequent blast planning. Such artificial intelligence feedback can further optimize subsequent blasts. The analysis can identify the size and location of debris from the blast.
[0024] FIG. 2 illustrates a PED 10 displaying a scan path 202 of a drone 104 in accordance with one embodiment. 2. The scan path 202 shows the drone capturing images within the perimeter 204 of the blast site. In some embodiments, the technician can scan the scan path 202. The PED 102 optimizes the manually entered scan path 202. or the scan path 202 may be designed based on the perimeter 204 of the blast site.
[0025] FIG. 3 illustrates a block diagram of the blast design system 106 of FIG. 1 according to one embodiment. The computer system 106 includes an electronic memory 310 in electrical communication with a system bus 318. or multiple processors 312, network interfaces 314, and I / O interfaces The face 316 may be included.
[0026] The electronic memory 310 may be static RAM, dynamic RAM, flash memory, one or more The electronic memory 310 may include a plurality of modules. The information may include rules 330 and data 340.
[0027] Module 330 may include all or part of the other elements of the device. 0 may be used to sequence multiple operations by or on one or more processors 312. These may then be performed simultaneously or in parallel.
[0028] In some embodiments, the disclosed modules, components and / or portions of the equipment may be as executable instructions embodied in hardware or firmware, The instructions may be stored in a processor and / or a computing device. When executed by the device, the device causes a computing system to perform certain process steps as disclosed herein: It may include computer program code that causes the procedures and / or actions to be performed. The disclosed modules, components and / or facilities may include drivers, libraries, interfaces, Interface, API, FPGA configuration data and / or firmware (e.g., EEPROM In some embodiments, the present disclosure may be implemented and / or embodied as a The modules, components and / or parts of the equipment disclosed herein may include, but are not limited to, circuits, integration Integrated circuits, processing components, interface components, hardware controllers, storage controllers, programmable hardware, FPGAs and / or ASICs, etc. , may be embodied as machine components such as general purpose devices and / or special purpose devices.
[0029] The module 330 includes a pattern blast area calculator 332, a minimum resistance line and spacing calculator 334, , a borehole designer 336, and a blast verifier 338. 32 performs operations by one or more processors 312 to determine the location of holes in a blast plan. A pattern blast area may be specified that defines an area around the It represents the area of a blast hole that can be adequately fragmented with the available explosives. Identifying the pattern blasting area determines the face height, specific energy of available explosives, and The minimum resistance line and spacing calculator 334 may be based on the relationship between the geological characteristics of the bench. Based on the blast area, the line of least resistance and spacing of holes in the blast plan may be specified. A designer 336 may specify borehole design details. A blast verifier 338 may verify that a blast is It may be possible to specify whether or not a criterion is met.
[0030] The data 340 stored in the electronic memory 310 may include received data and data from the module 330 or and data generated by the blast design system 106, such as other modules. The data 340 to be processed may be stored in one or more memory registers / addresses, files, and / or It may be organized as a database.
[0031] The data 340 includes user defined blast parameters 342, blast limits 344, site specific data, The user-defined blast parameters 342 may include face height, Includes size, pattern type (e.g. rectangular, staggered, square) and wet hole designation Blasting limits 344 include the weight of explosives, the weight of material to be blasted, the volume of material to be blasted, and The site specific data 346 may include available drill diameters, geological data, User-defined blast parameters 342, blast control The limit 344 and site specific data 346 are input by the user via the I / O interface 316. or from another device through the network interface 314. The module 330 may generate a blast design 348 based on the input. In some embodiments, the data 340 is used to output a more optimized blast design 348. This may include post-blast analysis that may be used by module 330.
[0032] The one or more processors 312 may include any computing circuit. The processor 312 may include a general-purpose processor and / or a special-purpose processor. The interface 314 may be the Internet and / or other computing networks and / or Facilitate communication with other computing devices and / or networks, such as a communications network The network interface 314 may include a conventional network connection. The network interface 314 may be a wireless interface with conventional wireless network connection technology. In some embodiments, the network interface may be The interface 314 is a power consumption measuring unit for measuring the power consumption of an area in which a processing circuit (not shown) is arranged. The I / O interface 316 may be used to communicate with current and voltage sensors. Interface with one or more input devices and / or one or more output devices This may promote the face.
[0033] The system bus 318 includes electronic memory 310, one or more processors 312, The blast design system, including the work interface 314 and the I / O interface 316 The present invention may facilitate communication and / or interaction between other components of the system.
[0034] As can be appreciated, in other embodiments, the processing circuitry 350 may be It may be simpler than described. For example, a particular design may include memory, multiple processors, Forget about one or more components such as multiple interfaces and use bare metal instead. It may execute instructions in a manner close to that of a physical machine or on bare metal (e.g., an operating system or executes instructions directly in the logical hardware, without the intervention of other software layers.
[0035] FIG. 4 is a flow chart of a method 400 for generating a blast design output 408 according to one embodiment. The method 400 may be used by the blast design system 106 of FIGS. To perform the blast design calculations 410, the blast design system may generate a design 408. A set of data inputs (e.g., blast specific data 402, blast restriction data 404, and location In some embodiments, these inputs include different categories of Enter into the: geological characteristics, blast area characteristics, drill characteristics, available products and blast constraints, and Seismometer characteristics.
[0036] For example, in the illustrated embodiment, the blast design system includes blast specific data 402, blast constraints, The blast specific data 402 includes blast specific data 404 and location data 406. the face height, the desired pattern type (e.g., square, rectangular, staggered) and the holes This may include whether or not the information is a
[0037] Blasting limits data 404 may include one or more limits set by a user. For example, a user may have limitations on the weight of the explosive, the weight of the material, the volume of the material, or the number of holes. In some embodiments, the blasting constraint data 404 includes the distance from the blast hole to the mining face. It can be seen.
[0038] In the illustrated embodiment, the location data 406 includes available drill diameters, geological data, and data, available explosives, seismic data and other parameters collected from measurements during drilling. (Drill data) included.
[0039] The geological data may represent the geological characteristics, geological features, and geological coefficients of the site. Typical examples include mineralogy (elements and / or minerals), petrography (primary, secondary and / or technological), Stature, porosity, hardness, damping, Young's modulus, shear modulus, bulk modulus, Poisson's ratio, P-wave velocity, S-wave velocity, rock density, rock type, rock strength, rock condition, rock description, joint condition, Joint angle, joint orientation, standard deviation of joint spacing, cohesion, vertical joint spacing, horizontal joint spacing, uniaxial Compressive strength (UCS), sound velocity, standard deviation of drilling, impact velocity, rock fracture toughness, rock reflectivity rate, tensile strength of rock, internal friction angle, Hugoniot data (e.g., Up min, Up max, Us Us min, Us max) and soil stresses (σ1, σ2, σ3, stress orientation, dip, direction and roll) "Texture" refers to the size, shape, and / or composition of the interlocking mineral crystals that form a rock or other material. The geological data is used to identify further geological features such as fracturing and crushing. obtain.
[0040] The geological characteristics may be seismic data, borehole data, drill cuttings, core samples or a combination thereof. The information may be determined directly or indirectly from sources such as drill cuttings and / or core cuttings. The samples are analyzed using X-ray or gamma-ray fluorescence, scanning electron microscopy and other spectroscopic and / or microscopic techniques. It can be analyzed using mirror techniques.
[0041] The seismometer data may include vibration requirements at specific distances. The quality characteristics can be determined from the seismograph data. For example, the processing circuitry can The seismic vibrations at one or more receivers are compared with those at a test drill or test charge. Based on at least the delay, frequency and amplitude of the seismic vibrations, the processor circuit may: Geological properties (e.g., crushability, complex density, composition, rock impedance, hardness value, Young's modulus, shear strain or other such properties) may be specified.
[0042] The drill data may include information on a continuous basis or on an incremental basis, such as by the foot. Hole data includes drill bit size, drill bit rotation speed, drill bit torque, and drilling speed. degree, bit vibration, pulldown pressure, bering air pressure, hole location, number of holes and hole length or depth The drilling data may be correlated to geological properties along the length of the blast hole. ,The drilling data was used to calculate the hardness values along the length of the blast hole (i.e., the hardness profile). It can be generated.
[0043] In some embodiments, the blast design system may include a subset of the set of data inputs or additional information. For example, not all calculations use vibration checks. Thus, attenuation and seismometer data may be optional inputs.
[0044] In some embodiments, the blast specific data 402 may include the desired fragmentation. The fracture specific data 402 may include a desired average fracture size.
[0045] The blast design system uses the set of data inputs to calculate 410 the blast design 408. 410 identifies a pattern blasting area 412, identifies a minimum resistance line and interval 413, 14. Identify the borehole structure and the number of holes required to meet the constraints. Calculation 410 includes determining 432 whether the blast design meets certain criteria. For example, in the illustrated embodiment, the validity check includes: Includes Energy Check 420, Minimum Resistance Line Stiffness Check 422 and Vibration Check 424. nothing.
[0046] In some embodiments, the blast design system may be adapted to determine the desired spallation, desired rock pile, or other characteristics. Distance from blast hole to face based on user-defined or geographic parameters can be identified.
[0047] When identifying the pattern blast area 412, the blast design system Defines the area around the hole. The pattern blast threshold is the product of the minimum resistance line and the spacing, in other words This represents the recommended area around any hole. The pattern blast area depends on several factors (e.g. The results take into account all other calculations in the process (geology, product and hole diameter). The pattern blasting area is a bench-placed blast hole that is blasted with available explosives. Identifying the pattern blast area represents the area that can be adequately crushed by the face. It may be based on the relationship between the height, the specific energy of the available explosives and the geological properties of the bench.
[0048] The pattern blasting area is determined by a first factor based on the geological characteristics and the specific energy of the available products. For example, the specific energy may be a product of the ANFO (e.g., 94 % porous sprill ammonium nitrate and 6% fuel oil) and available explosives (e.g. The third factor may be a correlation with the relative bulk strength (RBS) of available explosives. The diameter of the explosive may be based on the diameter of the explosive.
[0049] In some embodiments, the blast design system is adapted to include a first geological factor, the face height of the blast hole height, The diameter of the product available for which the dividend is the size (or the blast hole diameter if the product is a bulk explosive). Calculate the first coefficient by multiplying the natural logarithm of x by y. The result is: If one or more decks are present, one or Distance between the top or bottom (end) of multiple decks and / or blast holes in the face hole area It can be used as the face height for calculating the pattern blasting area. The coefficient of 1 is
number
[0050] The geological coefficients or constants (i.e., A and B) are used to correlate geological properties with the geometric properties of the blast hole. Equation 1 may include empirical variables that relate the proper fragmentation of a particular bench material from a previous blast. Equations with geological constants that are empirically fitted to previous blast data from previous blasts. The ratio of the face height to the diameter of the available explosives is used as a variable to determine the explosives to be used. Identify the type or amount of explosives used. Previous blast data will determine which type or amount of explosives are used. It can also be used to determine which explosives should be used or the amount of explosives to be used. The data was taken from actual explosives from the field equipment used to charge the borehole with explosives in the previous blast. The field equipment may include equipment for automatically charging the blast hole. Data may be provided for pattern blast areas, lines of least resistance, spacing, actual mass of explosives and / or blast holes. The equation may include a first order polynomial, e.g., Table 1 includes example geological coefficients. The geological coefficients may have a linear relationship. In some embodiments, The quality factor may be a relationship between the natural logarithm of the blast hole height and depth and the geological properties.
[0051] [Table 1]
[0052] In some embodiments, the blast design system adds a correction factor to the specific energy. The second coefficient may also be limited to be less than a certain amount. For example, The second coefficient is
number
[0053] RBS is the specific energy used in this calculation example. RBS is scaled at 157.7. In Equation 2, the second coefficient may be limited to 1.2 or less.
[0054] In some embodiments, the blast design system provides hole diameter measurements in desired interval units. Calculate the third factor by dividing the diameter by the unit of measure factor. You can square a number. For example, the third coefficient is
number
[0055] Therefore, the pattern blasting area is
number
[0056] The formula and Table 1 provided above were the Imperial version. As shown below, a similar formula can be found in the Ma Equation 5 and Table 2 can also be used in metric units. Can be used when possible.
number
[0057] [Table 2]
[0058] Pattern blasting areas are used to identify minimum resistance lines and intervals 414 and perform energy checks 420. The minimum resistance line and spacing can be determined by the length and width of the pattern blast area. represents the minimum resistance and is variable based on the selected blast shape or pattern and geology. The resistance line is the square root of the pattern blast area plus the rock class from the geological characteristics of the blast site and the desired blast pattern. The formula 6 and Table 3 are expressed as follows: , provides an example of a formula and constants that may be used to identify the line of minimum resistance.
number
[0059] In Equation 6, C is the rock class from the geological characteristics of the blast site and the desired blast pattern type. It is a constant derived from the shape. Table 3 contains example values of C for a square and a rectangle.
[0060] [Table 3]
[0061] The blast design system is designed by dividing the pattern blast area by the line of least resistance as shown below. The spacing can be calculated.
number
[0062] In some embodiments, the minimum resistance line and spacing are to the nearest 0.5 feet (meters). may be rounded to the nearest 0.1 m.
[0063] In some embodiments, the blast design system, after identifying the spacing and the line of least resistance, Perform a check, for example, if the pattern is a square or rectangular pattern in imperial units, the blast design system The system can specify whether the distance between holes is greater than 1.5 times the diameter of the holes used. In some embodiments, if the interval is less than 1.5 times, the check fails and the current The blast design is not valid and should not be calculated further. If the check is
number
[0064] The blast design system performs an energy check 420 to determine whether the generated blast is within the target range. To determine the mass of explosives in a column, ,The blast design system may use Eq.
number
[0065] The mass energy of the explosive may then be determined as shown in Equation 9.
number
[0066] The blasting design system is based on the minimum energy mass threshold and the maximum energy mass threshold as shown in Equation 10. The mass energy of the blast may be checked against an energy mass threshold. Energy Mass lower <MassEnergy<EnergyMass upper Formula 10
[0067] In some embodiments, the blast design system is configured to determine whether the mass energy of the blast is: It can also check that the value is within the specified parameters.
number
[0068] If the blast mass energy is not within any of the target ranges, the current blast design is not effective. Without this, the blast design system does not need to proceed with the rest of the process.
[0069] The minimum resistance line and spacing are determined by the minimum resistance line stiffness check 422 and the borehole detail calculation 41 6. Borehole Details 416 describes the structure of one borehole. To find the sub-drill depth of the hole, the blast design system multiplied the minimum resistance line by 0.3. The top stemming can be identified by multiplying the line of minimum resistance by 0.7. The number 0.7 can be changed for the hole being checked. The powder column is It can be determined by subtracting the top stem from the depth.
[0070] The blast design system performs a minimum resistance line stiffness check 422 using the minimum resistance line and spacing. The minimum resistance line stiffness can be calculated by dividing the hole height by the minimum resistance as shown below: It may be a linear division.
number
[0071] The blast design system compares the minimum resistance line stiffness to a minimum resistance line stiffness minimum threshold. In some embodiments, the minimum resistance line stiffness minimum threshold is 2. If is less than 2, the blast design system can stop the calculation. In an embodiment, the blast design system may continue to generate blast designs, and the line of least resistance stiffness The validity check concludes that the minimum resistance line stiffness is less than the minimum resistance line stiffness threshold. If so, you can throw a flag to the user.
[0072] The blast design system completes vibration check 424 to verify that the generated blast design is suitable for seismic control. The vibration check 424 may verify that the blast passes the 8 millisecond time frame. You can check what the maximum amount of explosives you can make is. Using the large mass limit, the blast design system checks whether the maximum mass limit has been exceeded. For example,
number
[0073] [Table 4]
[0074] The blast design system may identify the number of holes required to meet the blast restriction data 404. In some embodiments, one of four restrictions from optional blasting restrictions data 404 The inputs can be calculated by the blast design system. Depending on which constraints the user inputs: A computation process performs different computations. The final result of each computation should be the same. The end result is the number of holes required to satisfy the given constraints. Depending on the number, one of the following four formulas is used. The result of the following formulas is rounded to the nearest integer. The number of holes that meet the blasting limit data 404 can be found by performing the above steps.
[0075] If the blast limit data 404 is the total weight of the explosive, the blast design system uses Equation 13 It is possible.
number
[0076] If the blasting constraint data 404 is the total volume of rock, the blasting design system uses Eq. It is possible. Volume of rock to be blasted from a borehole = Line of least resistance * Spacing * Face height Equation 14
[0077] If the blasting constraint data 404 is the volume of rock to be blasted, the blasting design system may be calculated using Equation 15: can be used.
number
[0078] If the blasting constraint data 404 is the total weight of rock to be blasted, the blasting design system uses Equation 1: 6 can be used.
number
[0079] If the blast limit data 404 is a number of holes, then this blast limit data is used.
[0080] The blast design system is useful for performing and presenting to the user a metric evaluation 430. In one embodiment, the blast design system may identify statistical data such as metric evaluation. In 430, the following coefficients may be specified:
number
[0081] The blast design system may output a blast design 408. The blast plan may include the line of least resistance and spacing. , borehole details, predicted vibration power factor, number of holes, pattern details, drill length, body of material to be blasted Includes the weight of the explosives, the weight of the explosives and / or the weight of the material to be blasted.
[0082] In some embodiments, identifying the pattern blast area is specific to the geological characteristics of the bench. Calculate the geometric relationship of the face height to the diameter of the available explosives to determine the raw pattern. In some embodiments, the blast design system includes identifying an available blast area. The specific energies of the explosives and the previous blast data from which the formula was generated were Adjusting the raw pattern blast area based on the difference between the specific energies of the explosives used In some embodiments, the blast design system determines the raw explosive volume based on the volume of explosives available. Adjust the pattern blast area.
[0083] In some embodiments, the blast design system includes multiple permutations of the received blast data. By generating a data set including the above, optimization of the blast design can be performed (see FIG. 5). The blast design system simulates the blast for each of several permutations to produce multiple Identify the simulation results and base the blasting plan on the highest scoring simulation results. In some embodiments, the blast design system may perform post-blast analysis of images of the debris. The system may then adjust future blast plans based on the size and location of the debris.
[0084] In some embodiments, the blast design system is configured to select emulsions within a simulation sequence. The density of the explosives may be varied to identify the optimum energy profile for each blast hole. For example, the blast design system may identify segments within a blast hole that have different geological characteristics. The multiple permutations may include different explosive densities, products at the blasthole and / or segments within the blasthole. In some embodiments, the multiple permutations are performed to identify segments within a blast hole having different geological properties. The explosives may contain emulsion explosives of different densities in a container or ammonium nitrate oil (ANFO).
[0085] In some embodiments, the blast design system may output a spallation prediction. Based on the blast, the blast design system predicts the blast size and provides the prediction to the user. It can be provided.
[0086] 5 to 13 show the results of running multiple simulations of multiple possible permutations. Various aspects of generating blast designs are shown. As shown in Figs. 5 to 13, multiple permutations are Generating a blast design using the blast design system 106 of FIG. It can be done.
[0087] FIG. 5 illustrates a method for performing multiple simulations of multiple possible permutations, according to one embodiment. 5 shows a flowchart of a method 500 for generating a blast design by We perform a simulation of permutations as a problem that can be solved.
[0088] The blast design system implementing this method 500 receives blast data from a user 50. 2. Blasting data shall include the dimensions of the blast site, the geology of the blast site and the type of explosives available, and and / or other data inputs (e.g., blast specific data 402, blast restriction data 404, and The blast design system may include the received blast data 406 . The blast design system generates a data set of a plurality of possible blast design permutations from the A plurality of permutations of blasts are simulated to identify a plurality of simulation results 506 . Simulations are run in parallel across multiple machines, processors, cores or threads for efficient This can improve the rate.
[0089] The simulation results are stored 507, scored and compared 508. The system may generate a blast plan based on the highest scoring simulation results and present the results to the user. The blast plan may be presented to the user 510. The blast plan may include the locations of the blast holes to be drilled as well as the explosives to be used. In some embodiments, the blast plan identifies the type and quantity of the blast. , the minimum resistance line stiffness ratio and vibration score.
[0090] FIG. 6 illustrates an example method 600 for generating a multiple permutation data set from blast data. (See, e.g., generating a data set 504 in FIG. 5). 0 identifies 602 possible permutations of the blast data. For example, The blast design system uses available hole diameters, selected products and number of decks to The blast design system may identify possible permutations. The blast design system may generate a record for each permutation 604 and may include a permutation record for each permutation. The records are combined to generate a data set 606.
[0091] For example, blast data is available for up to three decks and two hole diameters ( For example, 89mm and 102mm), the selected product is Dynomix poured In this example, the blast design setup may include all permutations of the blast data. For example, if there is no default product, the permutations are [Hole diameter=89mm, Product=dynomix poured, Hole configuration=1] [Hole diameter=89mm, Product=dynomix poured, Hole configuration=2] [Hole diameter=89mm, Product=dynomix poured, Hole configuration=3] [Hole diameter=102mm, Product=dynomix poured, Hole configuration=1] [Hole diameter=102mm, Product=dynomix poured, Hole configuration=2] [Hole diameter=102mm, Product=dynomix poured, Hole configuration=3] Includes.
[0092] The total number of permutations can be calculated using Equation 18. In this particular example, there are 6 possible There are several permutations. Number of tasks = (selected product + default product) * |hole diameter| * max number of decks Equation 18
[0093] In some embodiments, the permutations include different densities of explosives within segments of the blast hole. For example, a blast hole may have a variety of hardness profiles, with permutations being of explosives is applied to a segment of the blasthole having a similar hardness value, and a second density of explosives is applied to the , a third density of explosive is applied to a segment of the blast hole having a different hardness value, and the like may be applied to segments of a blast hole having different hardness values.
[0094] FIG. 7 illustrates an example of a method 700 for simulating permutations of a data set (e.g., FIG. 5. Performing the simulation 506. The blast design system generates blast level details 702. This includes the pattern blast area, In the illustrated embodiment, the blast design system includes a minimum resistance line and spacing. The blast design system also generates hole level details for the blast holes 704. The blast design system performs a validity check to The method may determine 706 whether the blast design meets the target criteria for a valid blast. Effective blast characteristics can then be calculated 708. Further details of these steps are provided in the following figures. .
[0095] 8A and 8B illustrate a method 800 for generating blast level details (e.g., the blast level details of FIG. 7). (See generating latent level detail 702). The method 800 generates latent level detail from a given input. Generates potential blast design solutions. The blast design system generates a series of sequential Calculate the pounds of mass per delay for the column and seismometers, and compare the lowest and most severe seismometers. Permutations from pounds of mass per delay may be identified 804 .
[0096] The blast design system calculates 806 the initial pattern blast area, as shown in FIG. As explained, this can be done using Equation 4 and Table 1 or Equation 5 and Table 2. The program calculates the initial minimum resistance line and interval from the initial pattern blast area. The lines can be calculated using Equation 6 and Table 3, and the spacing can be calculated using the equation 7 can be used to identify the
[0097] The blast design system checks whether the initial minimum resistance line and spacing are less than or equal to the length and width of the blast site. If the initial minimum resistance line and spacing exceeds the length and width of the blast site, There is no viable solution and the method ends. The initial minimum resistance line and spacing are determined based on the length and width of the blast site. If so, the method continues by calculating 810 the minimum minimum resistance line and interval, where:
number
[0098] The blast design system may round the initial minimum resistance line 812. For example, the blast design system may , the initial minimum resistance line may be rounded to 1 decimal place or 0.5 in feet.
[0099] The blast design system calculates the new blast design 814. New pattern blast area = priority Distance * Non-preferred distance. Preferred distance is the length of the blast that the user wants to better match or may be the minimum resistance line or interval depending on whether the blast width is the minimum preferred distance. In the case of a resistance line, the non-preferred distance is the spacing.
[0100] The blast design system checks whether the new pattern blast area is within the target range. 16. The range is pattern blasting area * 0.9 < new pattern blasting area <PattF*1.1で If the new pattern blast area is not within the target range, the blast design system will The system tries to find a matching priority distance so that the new pattern blast area is If the target distance is not within the target range, the blast design system will ensure that the preferred distance is fully met (e.g., It is checked 818 whether the length or width is equal to the preferred distance.
[0101] If the preferred distance is not perfectly matched, the blast design system should be adapted as illustrated in Figure 9. If the preferred distances match perfectly, the blast design system The system appends the new additions and intervals to the final result list 820 and then searches for other wired 822. The blast design system is ordered from best fit to worst fit. The obtained approximate results are sorted 824.
[0102] In FIG. 8B, the blast design system iterates 826 through the list of approximate results and selects the current result. Select the preferred distance from the blast design system to approximate the potential minimum resistance line and spacing configuration. Select from the results list. The blast design system uses sizing rules to determine the minimum potential resistance. The lines and approximate intervals are selected and examined 830. The blast design system determines the initial pattern blast area and Calculate the maximum and minimum non-preferred distances from the potential preferred distances. The stem may calculate the maximum and minimum non-preferred distances based on Equations 19 and 20. Interval ≦ Minimum resistance line ≦ 1.4 * Minimum resistance line Equation 19 Minimum resistance line ≦ interval ≦ 1.4 * distance Formula 20
[0103] The blast design system should set the non-preferred distance at 0.1 (or 0.5 if feet are used). ) 834. After advancing, the blast design system checks whether the potential non-preferred distance < maximum non-preferred distance. Check whether the distance is 836. If the potential non-preferred distance is not less than the target area, The blast design system selects the next-best distance from the current result. If the distance is less than the target threshold, the blast design system will set the distance equal to the preferred distance * potential non-preferred distance. 838. The blast design system calculates the new pattern blast area. A check is made to see if the region is within a target range 840. For example, the target range is a minimum P attF < new PattF < max PattF. The new pattern blast area is the target If within range, the new pattern blasting area results are attached to the final list of results. If the new pattern blast area is not in the target range, the blast design system will 844 which adds a step to the distance.
[0104] The blast design system checks to see if all preferred distances have been tried. If not all have been tried, the blast design system will determine the next preferred distance from the current result. If all preferred distances have been tried, the blast design system will select the best fit. Sort the final result list by 848 (e.g., smallest remaining first), and The system implements a method for generating hole level details as illustrated in FIG.
[0105] FIG. 9 illustrates a blast design system that attempts to find 902 a preferred distance that fits a blast site. 9 is a method 900 that may be used by the system. In this method, the blast design system determines the preferred distance (e.g. It tries to find the best fit to the price (for example, the minimum resistance line or interval). - or underflow is minimal (i.e. the remainder approaches or is equal to zero) For example, if a blasting site has a width of 50 m and the line of least resistance is 5 m, , 10 holes spaced 5m apart = 50m, so there are no holes remaining. The minimum resistance line of 10 holes causes a remainder of 1m of underflow or 1 In the case of one hole, it will create an overflow of 3.0 m.
[0106] The blast design system may round 904 the minimum resistance line to a step (e.g., in meters). 906) which produces a rounded minimum resistance. The line is adjusted by adding a step to the line of least resistance.908 The blast design system Whether the rounded minimum resistance line is within the target range, especially if it is larger than the minimum minimum resistance line and 910. Check whether the rounded minimum resistance line is less than the maximum minimum resistance line. If it is not within the range, the blast design system goes back to Figure 8A and tries to find a suitable preferred distance. If the rounded minimum resistance line is within range, the blast design system uses the minimum resistance line. 912 To determine the remaining length of the site plan, for example, if the blast width is 50 m and the minimum resistance is If the line is 5m, there are no more left, since 10 holes * 5m = 50. In another example, If the small resistance line is 4.9m and the blast width remains at 50m, for 10 holes, There is 1m of underflow remaining, or in the case of 11 holes, there is 3.9m of overflow. The system appends the remaining and minimum resistance lines to the approximate results list 914.
[0107] FIG. 10 shows the hole level details (e.g., deck configuration, subdrain) at a given minimum resistance line and interval. 100 Method for producing a powder column length (rill, top stem, inter stem and powder column length) 0. The powder column length is the length of the portion of the blasthole that is filled with explosives. The blast design system using the method iterates through potential lines of least resistance and intervals 1002, Examine the preferred distance, non-preferred distance, pattern blast area and remainder. The blast design system considers potential 1004. Identify whether all minimum resistance lines and intervals have been used. selects the next item from the list of potential minimum resistance levels and intervals 1006. The system 1008. Check that the minimum resistance line and spacing are not too large in the blasting area. Calculate the length, sub-drill, and top stemming and inter stemming.
[0108] The blast design system may construct 1010 the deck and calculate the mass of the explosives. The system may build decks based on the following criteria: Top deck and inter-deck The interdeck and bottom deck have the same powder column and explosive mass. , may have the same height (the height of the bottom deck does not include the sub-drill). The top deck can have different masses of explosives depending on the sub-drill. The height varies depending on the
[0109] FIG. 11 illustrates a method 1100 for testing the validity of a planned blast design. A blast design system using 0 may perform a series of validity checks. The metering system performs energy and mass checks, energy per volume checks and minimum A resistance line-stiffness check may be performed.
[0110] In the energy and mass check, the blast design system determines whether the mass of the explosives on the deck is greater than the delay time. Less than 100 pounds of primary seismometer mass per deck and a minimum energy per mass per deck. -Check is less than deck energy and deck energy is per deck mass Check to see if the energy is less than the maximum energy check 1104. The energy calculation is
number
[0111] Use the energy per volume check to determine if the minimum energy per volume is within the deck energy. whether the deck energy is less than the maximum energy per volume can be checked 1106.
[0112] If the energy per volume is within the blast design, the solution is added to the potential solutions list. Added 1108. The blast design system calculates the minimum drag line to stiffness ratio from all decks. The calculation 1110 returns the result with the worst minimum resistance line to stiffness ratio of the hole. A check may be used to identify whether the minimum resistance line stiffness ratio is >2.
[0113] FIG. 12 illustrates a method 1200 for calculating certain properties of a valid design. The method 1200 includes: Test the effectiveness of the planned blast design. The blast design system calculates the main vibrations. 202. In some embodiments,
number
[0114] FIG. 13 shows a vibration-based scoring system with a curve fitted with vibration. 13 shows a graph 1300 of the blast plan results obtained. The best scores 1306, 1312 and OK Scores 1308, 1310 and 1314. In some embodiments, the highest score is selected. The score at the 80% 1304 point of the highest vibration is selected. The system achieves fitting the vibration results according to a polynomial similar to graph 1300. To do this, the results are fitted according to a polynomial and the score is on the y-axis. To score the blasting plan results, the blasting design system will use one of the following methods: Can be scored as: 1) least number of decks, 2) least number of holes, 3) least resistance line stiffness ratio, or 4) Vibration score. The first three methods sort the results by the selected criterion.
[0115] 14 illustrates a method 1400 for editing the minimum resistance line and interval. ,The user may be able to edit the minimum resistance line and interval using this method. The user may input the desired minimum resistance line and / or interval.
[0116] For example, the method 1400 may be used to determine the maximum number of ions identified using the method outlined in FIGS. The minimum resistance line and spacing can be used to edit the minimum resistance line and spacing. To adjust these parameters, the blast design is Partial execution of the generating method may be necessary (e.g., in FIG. 7, the method Generate 704 hole level details with lines and spacing and perform validity checks 706 (e.g., Energy check, minimum resistance line stiffness check and vibration check), effective blast characteristics ( For example, the weight of the explosive, the weight of the material, the volume of the material, the number of holes, the size of the fragments) can be calculated. ).
[0117] A system using this method 1400 checks whether the pattern blast area is locked. Locking the pattern blasting area is done after the minimum resistance line or interval is edited 1402. Turn indicates the blast area remains the same. If the pattern blast area is locked, the system The system receives an input indicating either a minimum resistance line or an interval 1412. If an interval is input, If so, the system calculates the minimum resistance line based on the interval 1414. If so, the system calculates 1416 an interval based on the line of least resistance. If the region is not locked, the system receives 1404 an input indicating a minimum resistance line and interval. , 1406, which outputs the pattern blasting area.
[0118] The system may further perform a pattern blasting area check 1408. For example, the system , the pattern blasting area is larger than or equal to the original pattern blasting area, and It can be checked that it is below 110%.
[0119] The system may further perform a pattern ratio check 1410. For example, the system may: Check that the spacing is ≥ 1.5 x hole diameter and the spacing is ≤ 1.5 x minimum resistance line. do.
[0120] The examples and embodiments disclosed herein should be construed as merely illustrative and exemplary. and should in no way be construed as limiting the scope of the present disclosure. It is understood that changes may be made to the details of the above-described embodiments without departing from the underlying principles thereof. , will be apparent to those skilled in the art having the benefit of this disclosure.
Claims
1. 1. A method for generating a blast plan, comprising the steps of: The geometric and geological characteristics of the blast site bench to be blasted and the diameter of the explosives available and receiving blast data including geometric characteristics of the bench. The receiving property includes a face height of the bench; In the blast holes arranged on the bench, the available explosives are appropriately fragmented. identifying a pattern blast area that can be blasted using said face height, said available determining a relationship between the specific energies of suitable explosives and the geological properties of the bench; To identify and determining loads and spacings from said pattern blast areas; generating a blast plan using said loads and said spacing; The method includes:
2. identifying the pattern blast area is specific to the geological characteristics of the bench; Calculate the geometric relationship of the face height to the diameter of the available explosives to obtain a raw pattern. The method of claim 1 , further comprising identifying a blasting area.
3. Identifying the pattern blast area also ensures proper fragmentation of the particular bench material of the previous blast. having geological constants that empirically fit previous blast data from said previous blasts. The ratio of the face height to the diameter of the available explosive is input as a variable into the formula.
2. The method of claim 1, further comprising: determining a raw pattern blast area based on the determined blast area.
4. The method of claim 3 , wherein the equation comprises a first order polynomial.
5. The first-order polynomial is a first geological constant, said face height dividend divided by said diameter of said available product; multiplying the natural logarithm of Dividing the result by a second geological constant The method of claim 4 , comprising:
6. Identifying the pattern blast area includes determining the specific energy of the available explosives and The previous blast data used in generating the equation was from the previous blast and determining whether the raw pattern blast area is based on the difference between the specific energy of the explosive and the specific energy of the explosive. The method of any one of claims 3 to 5, further comprising adjusting.
7. Identifying the pattern blast area includes determining the pattern blast area based on the volume of the available explosives. The method of any one of claims 2 to 6, further comprising adjusting the pattern blast area.
8. The diameter of the available explosives includes the diameter of the blast holes to be placed on the bench. and the available explosives include bulk explosives. method.
9. Identifying the pattern blast area includes defining an area around a hole in a blast plan. and wherein the pattern blasting area includes a first factor based on the geological characteristics and the face height; A second factor based on the specific energy of the available explosives and the available explosives. The method of claim 1 including a product of a third factor based on a diameter of the item.
10. The first coefficient is A first geological coefficient is a natural ratio obtained by dividing the face height dividend by the diameter of the available product. Calculating the result of multiplying numbers; subtracting said result by a second geological factor; The method of claim 9 , further comprising calculating by:
11. If a deck is present, the distance between the deck and another deck or the end of the blast hole The method according to claim 10, wherein is used as the face height.
12. said second explosive by adding a correction factor to the relative bulk strength of said available explosives; The method of any one of claims 9 to 11, further comprising calculating the coefficients.
13. Dividing the diameter by a unit of measure factor and squaring the resulting dividend, The method of any one of claims 9 to 12, further comprising calculating a coefficient of:
14. The determining of the load is based on the square root of the pattern blast area, the geological characteristics of the blast site, The method according to any one of claims 9 to 13, further comprising multiplying the rock mass by a constant derived from the rock mass. The method described.
15. The geological characteristics of the blast site may include rock density, rock type, rock strength, attenuation characteristics or any combination thereof. including combinations thereof, and The method includes the steps of: determining the face height, the desired blast pattern type, and any blast holes to be drilled; Blast hole parameters, including the possibility and / or potential volume of water in the blast hole and the diameter of the drill available and The types of explosives available, the weights of explosives available that can be transported to the blast site, The amount and / or volume, weight of material to be blasted, volume of material to be blasted and The available explosives, including the number of holes that can be filled with the available explosives that can be transported. Receive information about medicines; The method of any one of claims 1 to 14, further comprising:
16. The blast hole parameters include a desired blast pattern type, and the constants are The method of claim 15 further derived based on a shape of the blasting pattern type.
17. The blasting plan according to any one of claims 1 to 16, wherein the blasting plan includes the load and the spacing. method.
18. generating a data set comprising a plurality of permutations of the received blast data; Simulating a blast for each of the plurality of permutations and generating a plurality of simulation results. Identifying and and the blasting plan is based on the highest scoring simulation result.
18. The method according to any one of claims 17 to 17.
19. The blasting plan, Drilling holes according to said blasting schedule; filling the hole with the available explosives according to the blasting plan; and Initiating an explosion in accordance with said blasting plan. The method according to any one of claims 1 to 18, further comprising: method.
20. 1. A method for generating a blast plan, comprising the steps of: Receive blast data including blast site dimensions, blast site geology and available explosives types To do, generating a data set comprising a plurality of permutations of the received blast data; Simulating a blast for each of the plurality of permutations and generating a plurality of simulation results. Identifying the generating a blast plan based on the highest scoring simulation results, A blast plan is generated that identifies the locations of the blast holes to be drilled and the amount of explosives to be used. and The method includes:
21. Simulating the blast for each of the plurality of permutations includes determining the explosive type of the permutation. and determining a pattern blast area based on the geology of the blast site. The method described.
22. Simulating the blast for each of the plurality of permutations comprises:
22. The method of claim 21, further comprising identifying an initial load and an initial spacing based on the area. 。
23. The initial load is [0010] where C is a constant derived from rock class, and the initial interval is [0025] 23. The method of claim 22, wherein:
24. Simulating the blast for each of the plurality of permutations identifies a preferred distance. and identifying a minimum preferred distance and a maximum preferred distance, said preferred distance being , one of the weight and the spacing, and if the preferred distance is the weight, the maximum preferred distance The distance is less than the initial interval and the minimum preferred distance is less than a threshold percentage of the initial interval. and if the preferred distance is a distance, the minimum preferred distance is greater than the initial load. and the maximum priority distance is less than a threshold constant multiplied by the initial weight. The method according to any one of claims 20 to 23.
25. The threshold percentage of the initial interval is: [0030] and the threshold constant is 1.
4.
26. Simulating the blast for each of the plurality of permutations comprises: If the priority distance is a weight, then a number of weights between the minimum priority distance and the maximum priority distance Identifying the number of rows that will fit the dimensions of the blast site with the least remaining preferred distance. And, If the priority distance is an interval, then the number of intervals between the minimum priority distance and the maximum priority distance The number of holes in said row that will fit the dimensions of said blast site with minimal remaining priority distances. Identifying and 26. The method of claim 24 or 25, further comprising:
27. Simulating the blast for each of the plurality of permutations comprises: Identifying non-preferred distances; Identifying a minimum non-preferred distance and a maximum non-preferred distance for one or more of the plurality of preferred distances. the non-preferred distance being one of the load and the spacing, and the preferred distance being one of the load and the spacing. If the non-preferred distance is different from the first distance, the maximum non-preferred distance is the weight. the minimum non-preferred distance is greater than a threshold percentage of the initial interval, If the non-preferred distance is a distance, the minimum non-preferred distance is greater than the initial load, and and the maximum non-preferred distance is less than a threshold constant multiplied by the initial weight. thing 27. The method of claim 26, further comprising:
28. Simulating the blast for each of the plurality of permutations comprises: said minimum non-uniformity having a resultant pattern blast area within a target pattern blast area range. identifying a set of distances including a first non-preferred distance between the preferred distance and the maximum non-preferred distance; The method of claim 27, further comprising:
29. The target pattern blast area range is determined by 0.9× permutation of explosive type and the geology of the blast site. The pattern blast area is determined based on 1.10× permutation of explosive types and the blast phenomenon.
29. The method of claim 28, wherein the pattern blast area is determined based on the geology of the site. Law.
30. sorting the set of distances based on the remainder associated with the preferred distance; 30. The method of claim 28 or 29, comprising:
31. Simulating the blast for each of the plurality of permutations includes simulating the blast from the smallest remaining to the largest remaining. Iteratively, through the remaining large distances, until a valid set of distances is found that satisfies the set of blasting criteria.
4. The method of claim 3, further comprising: determining whether a set of blasting characteristics satisfies the set of blasting criteria. The method according to claim 0.
32. and further comprising: scoring a valid set of distances for each of the plurality of permutations.
32. The method according to claim 30 or 31.
33. Simulating the blast for each of the plurality of permutations comprises: The blast characteristics of each set of distances having a resultant pattern blast range within the target pattern blast range are calculated. To identify, identifying one or more sets of distances that meet a set of blasting criteria; Which of the one or more sets of distances that meet a set of blasting criteria has the smallest remainder? Identifying The method of any one of claims 28 to 32, further comprising:
34. 1. A system for generating a blast plan, comprising: Stores blast data including blast site dimensions, blast site geology and available explosive types memory devices, Processing Unit The processing unit includes: generating a data set comprising a plurality of permutations of the blast data; The plurality of sequences result in minimal overflow or underflow of the hole at the blast site. identifying a spacing and a weight for each of the plurality of permutations, based on each explosive type and the geology of the blast site; A blast for each of said plurality of permutations using said specified spacing and load is performed. Verifying that the set of quasi-parameters is satisfied; and Scoring characteristics of the verified blasts for each of the plurality of permutations; generating a blast plan based on the highest scoring verification results, said blast plan comprising: Identifying and generating the locations of blast holes to be drilled and the amount of explosive to be used; A system that performs the above.
35. and a drone including a camera, the drone capturing images of the blast site.
35. The system of claim 34.
36. 36. The method of claim 35, wherein the drone receives a flight plan that defines a perimeter of the blast site. The system is as follows:
37. The processing unit further generates a three-dimensional model of the blast site using the multiple images. The system according to any one of claims 34 to 36.
38. the processing unit further overlaying the blast plan onto the three-dimensional model of the blast site.
38. The system of claim 37.
39. The processing unit includes: receiving post-blast images of the blast site; A post-blast analysis is performed on the post-blast image to identify debris size and debris spread. To The system according to any one of claims 34 to 38, further comprising:
40. The processing unit detects spacing and load within spacing and load ranges based on the post-blast analysis.
40. The system of claim 39, further limiting:
41. the processing unit further modifies the geology of the blast site based on the post-blast analysis.
41. A system according to claim 39 or 40.
42. The set of blast criteria includes a target load stiffness range, a target deck energy range, and a deck range equivalent. A system as claimed in any one of claims 34 to 41, including a target explosive mass.
43. 1. A method for generating a blast plan, comprising the steps of: Receive blast data including blast site dimensions, blast site geology and available explosive types. And, generating a data set comprising a plurality of permutations of the received blast data; The plurality of permutations are then subjected to a test based on the explosive type of each of the plurality of permutations and the geology of the blast site. identifying a plurality of spacing and loading configurations for each of the rows; simulating a blast for each of said plurality of permutations and before each of said plurality of permutations Any of the plurality of spacings and load configurations may be any other spacings and load configurations associated with other spacings and load configurations. determining whether a target blast criterion is met with an absolute value remainder less than the absolute value remainder; generating a blasting plan based on the simulation results; The method includes:
44. The remainder of the absolute value is determined by dividing the spacing or the load by one of the dimensions of the blast site. The method of claim 43, wherein the method is determined by
45. Scoring the plurality of simulation results; and generating said blast plan based on the highest scoring simulation results; 45. The method of claim 43 or 44, further comprising:
46. The scoring of the plurality of simulation results may include determining a cost, a number of decks, a hole 46. The method of claim 45, wherein the vibration score is based on one or more of: number, load stiffness ratio, and vibration score.
47. 47. The method of claim 43, wherein the blasting data further comprises a maximum number of decks. How to.
48. 48. The method of claim 43, wherein the blast data further comprises a range of blast hole diameters. Method of posting.
49. Any of claims 43 to 48, further comprising varying the explosive type within the plurality of permutations. The method according to any one of claims 1 to 5.
50. for at least one of the plurality of permutations, determining within a blast hole segment based on geological characteristics; The method according to any one of claims 43 to 49, wherein the density of the emulsion is changed. Law.
51. 51. The method according to any one of claims 43 to 50, wherein the blasting data further includes a desired fragmentation size. Method of posting.
52. The method of any one of claims 43 to 51, further comprising generating a fracture prediction.
53. 1. A method for generating a blast plan, comprising the steps of: The geometric and geological characteristics of the blast site bench to be blasted and the diameter of the explosives available and receiving blast data including geometric characteristics of the bench. The receiving property includes a face height of the bench; In the blast holes arranged on the bench, the available explosives are appropriately fragmented. identifying a pattern blast area that can be blasted using said face height, said available determining a relationship between the specific energies of suitable explosives and the geological properties of the bench; Prior blast data from a prior blast that resulted in adequate fragmentation of the particular bench material of that prior blast The diameter of the available explosives is then fitted to an equation having geological constants that are empirically fitted to the data. The ratio of the face height to the face height is input as a variable to identify the raw pattern blast area. Including, identifying and determining loads and spacings from said pattern blast areas; generating a blast plan using said loads and said spacing; The method includes:
54. The previous blast data is used to charge the borehole with explosives in the previous blast.
54. The method of claim 53, including actual explosive charge data from field equipment.
55. 1. A method for generating a blast plan, comprising the steps of: The geometric and geological characteristics of the blast site bench to be blasted and the diameter of the explosives available and receiving blast data including geometric characteristics of the bench. The receiving property includes a face height of the bench; In the blast holes arranged on the bench, the available explosives are appropriately fragmented. identifying a pattern blast area that can be blasted using said face height, said available determining a relationship between the specific energies of suitable explosives and the geological properties of the bench; defining an area around a hole in a blasting plan, the pattern blast area comprising: a first factor based on geological characteristics and the face height, the specific energy of the available explosives; a second factor based on the diameter of the available explosives and a third factor based on the diameter of the available explosives. , and determining loads and spacings from said pattern blast areas; generating a blast plan using said loads and said spacing; The method includes:
Citation Information
Patent Citations
Blade tip reinforcing and treating device of mechanical saw
JP1995116917A
Emulsion explosive composition manufacturing method and its manufacturing apparatus
JP2000502655A
Drilling navigation device
JP2015229832A