Method and system for predicting large block rate based on blasting delay, electronic device, and storage medium

Abstract

The invention discloses a method and system for predicting a bulk rate based on blasting delay, an electronic device and a storage medium. The method for predicting a bulk rate based on blasting delay first determines the explosive performance parameters based on the ore and rock properties of the target ore and rock, designs a minimum resistance line after selecting a suitable hole arrangement method, and then calculates a reasonable blasting delay based on the minimum resistance line and the ore and rock properties. Finally, a comprehensive analysis is performed based on factors such as blasting delay, explosive performance parameters, and ore and rock properties to predict the bulk rate. The method comprehensively considers the influence of various factors such as ore and rock properties, hole arrangement method, and explosive performance on blasting delay and bulk rate, has high prediction accuracy, and adopts a plum blossom-shaped hole arrangement method and a continuous charging structure to further optimize the blasting effect.

Description

Technical Field

[0001] The present invention relates to the field of blasting technology, and in particular to a method and system for predicting a large block rate based on blasting delay, an electronic device, and a computer-readable storage medium. Background Art

[0002] Delayed blasting technology is widely used in mines. It can improve the fragmentation of rock mass by utilizing the effect of stress wave superposition and rock block collision, while reducing the rate of large blocks. Reasonable delay interval is the key to delayed blasting technology. Therefore, how to determine the blasting delay time and accurately predict the rate of large blocks has become a key issue to be solved in blasting engineering. Summary of the invention

[0003] The present invention provides a method and system for predicting the bulk rate based on blasting delay, electronic equipment, and a computer-readable storage medium, which can accurately predict the bulk rate of ore and rock after delayed blasting.

[0004] According to one aspect of the present invention, a method for predicting a large block rate based on burst delay is provided, comprising the following contents:

[0005] Obtaining the ore rock properties of the target ore rock, wherein the ore rock properties include ore coefficient and longitudinal wave velocity;

[0006] Determine the performance parameters of explosives based on the ore and rock properties of the target ore and rock;

[0007] Select the plum blossom-shaped hole arrangement and adopt the continuous charge structure to design the minimum resistance line;

[0008] The blasting delay is calculated based on the minimum resistance line and the ore coefficient;

[0009] The average fragmentation size of the target rock after blasting is predicted based on blasting delay, explosive performance parameters and longitudinal wave velocity;

[0010] The characteristic size is calculated based on the premise that the sieve size is equal to the predicted average crushing size;

[0011] The large block rate of target rock after blasting is predicted based on characteristic size and actual sieve hole size.

[0012] Furthermore, the following formula is used to design the minimum resistance line:

[0013] w=αd

[0014] Among them, w is the minimum resistance line, d is the diameter of the blast hole, and α is the coefficient.

[0015] Furthermore, the blasting delay is calculated using the following formula:

[0016] Δt=ξw

[0017] Among them, Δt is the blasting delay, and ξ is the ore coefficient of the target ore rock.

[0018] Furthermore, the average crushing size is predicted using the following formula:

[0019]

[0020] in, is the average fragmentation size, V 0 is the volume of rock broken in each hole, Q is the TNT equivalent of the explosive pack in each hole, e is the weight power of the explosive, k and b are coefficients, C p is the longitudinal wave velocity of the target ore rock.

[0021] Furthermore, the process of calculating the characteristic size by taking the sieve size and the predicted average crushing size as a prerequisite is specifically as follows:

[0022] Mesh size At this time, the block rate R = 0.5, and the characteristic size is calculated based on the following formula:

[0023]

[0024] Among them, x e is the characteristic size, x is the sieve size, R is the bulk rate, and β is the uniformity index.

[0025] Furthermore, the large block rate is predicted based on the following formula:

[0026]

[0027] In addition, the present invention also provides a system for predicting large block rate based on burst delay, comprising:

[0028] The ore rock property acquisition module is used to acquire the ore rock properties of the target ore rock, wherein the ore rock properties include ore coefficient and longitudinal wave velocity;

[0029] An explosive performance parameter acquisition module is used to determine the explosive performance parameters based on the ore and rock properties of the target ore and rock;

[0030] Hole layout design module, used to select the plum blossom hole layout and adopt the continuous charge structure to design the minimum resistance line;

[0031] Blasting delay calculation module, used to calculate the blasting delay based on the minimum resistance line and ore coefficient;

[0032] The average fragmentation prediction module is used to predict the average fragmentation of the target rock after blasting based on the blasting delay, explosive performance parameters and longitudinal wave velocity;

[0033] Characteristic size calculation module, used to calculate the characteristic size with the sieve size being equal to the predicted average crushing size as a prerequisite;

[0034] The large block rate prediction module is used to predict the large block rate of the target ore rock after blasting based on the characteristic size and the actual sieve hole size.

[0035] Furthermore, the average broken fragmentation prediction module uses the following formula to predict the average broken fragmentation of the target rock after blasting:

[0036]

[0037] in, is the average fragmentation size, V 0 is the volume of rock broken in each hole, Q is the TNT equivalent of the explosive pack in each hole, e is the weight power of the explosive, k and b are coefficients, C p is the longitudinal wave velocity of the target ore rock, and Δt is the blasting delay.

[0038] In addition, the present invention also provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the above method by calling the computer program stored in the memory.

[0039] In addition, the present invention also provides a computer-readable storage medium for storing a computer program for predicting large block rate based on burst delay, wherein the computer program executes the steps of the above-mentioned method when running on a computer.

[0040] The present invention has the following effects:

[0041] The method for predicting the bulk rate based on blasting delay of the present invention first determines the explosive performance parameters based on the ore and rock properties of the target ore and rock, designs the minimum resistance line after selecting a suitable hole arrangement method, and then calculates a reasonable blasting delay based on the minimum resistance line and the ore and rock properties. Finally, a comprehensive analysis is performed based on factors such as blasting delay, explosive performance parameters, and ore and rock properties to achieve the prediction of the bulk rate. The method comprehensively considers the influence of various factors such as ore and rock properties, hole arrangement method, and explosive performance on blasting delay and bulk rate, has high prediction accuracy, and adopts a plum blossom-shaped hole arrangement method and a continuous charging structure to further optimize the blasting effect.

[0042] In addition, the system for predicting large block rate based on burst delay of the present invention also has the above advantages.

[0043] In addition to the above-described purposes, features and advantages, the present invention has other purposes, features and advantages. The present invention will be further described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The drawings constituting a part of this application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0045] Figure 1 It is a flow chart of a method for predicting large block rate based on blasting delay according to a preferred embodiment of the present invention.

[0046] Figure 2 It is a schematic diagram of the module structure of a system for predicting large block rate based on burst delay according to another embodiment of the present invention. DETAILED DESCRIPTION

[0047] The embodiments of the present invention are described in detail below with reference to the accompanying drawings. However, the present invention can be implemented in many different ways as defined and covered below.

[0048] like Figure 1 As shown, a preferred embodiment of the present invention provides a method for predicting large block rate based on burst delay, comprising the following contents:

[0049] Step S1: obtaining the ore rock properties of the target ore rock, wherein the ore rock properties include ore coefficient and longitudinal wave velocity;

[0050] Step S2: Determine explosive performance parameters based on the ore and rock properties of the target ore and rock;

[0051] Step S3: Selecting a plum blossom-shaped hole arrangement method and adopting a continuous charge structure to design a minimum resistance line;

[0052] Step S4: Calculate the blasting delay based on the minimum resistance line and the ore coefficient;

[0053] Step S5: predicting the average fragmentation size of the target rock after blasting based on the blasting delay, explosive performance parameters and longitudinal wave velocity;

[0054] Step S6: Taking the sieve size and the predicted average crushing size as a prerequisite, the characteristic size is calculated;

[0055] Step S7: predicting the large block rate of the target ore rock after blasting based on the characteristic size and the actual sieve hole size.

[0056] It can be understood that the method for predicting the large block rate based on blasting delay in this embodiment first determines the explosive performance parameters based on the ore and rock properties of the target ore and rock, designs the minimum resistance line after selecting a suitable hole arrangement method, and then calculates a reasonable blasting delay based on the minimum resistance line and the ore and rock properties. Finally, a comprehensive analysis is performed based on factors such as blasting delay, explosive performance parameters, and ore and rock properties to achieve the prediction of the large block rate. The method comprehensively considers the influence of various factors such as ore and rock properties, hole arrangement method, and explosive performance on blasting delay and large block rate, and has high prediction accuracy. In addition, the plum blossom-shaped hole arrangement method and continuous charging structure are adopted to further optimize the blasting effect.

[0057] Specifically, in step S1, the ore rock to be blasted is surveyed on site, the rock longitudinal wave velocity, rock mechanics coefficient, etc. are measured, and the physical properties and structural characteristics of the ore rock are determined, such as the characteristics of the rock mass, the name of the rock mass, etc. The rock mechanics coefficient includes the firmness coefficient, the ore coefficient, etc.

[0058] In step S2, according to the ore and rock properties of the target ore and rock, in combination with Table 1, explosive performance parameters such as explosive consumption can be determined.

[0059] Table 1. Correspondence between different ore rock properties and explosive consumption

[0060]

[0061]

[0062]

[0063] In step S3, the hole arrangement method adopts a plum blossom-shaped hole arrangement and a continuous charge structure, which can further optimize the blasting effect. The following formula is used to design a reasonable minimum resistance line:

[0064] w=αd Formula 1

[0065] Among them, w is the minimum resistance line, d is the borehole diameter, which is a known value, and α is a coefficient, which is related to the borehole diameter and is a known value, generally ranging from 25 to 45.

[0066] In step S4, the blasting delay is calculated using the following formula:

[0067] Δt=ξw Formula 2

[0068] Among them, Δt is the blasting delay, and ξ is the ore coefficient of the target ore rock.

[0069] In step S5, the average crushing size is predicted using the following formula:

[0070]

[0071] in, is the average fragmentation size, V 0 is the volume of rock broken per hole, which is related to Q and is a known value. Q is the TNT equivalent of the charge per hole, which is determined based on the unit consumption of explosives and the diameter of the blasthole and is a known value. e is the weight power of the explosive and is a known value. k is a coefficient, which is generally 0.2 to 0.9 and is related to the weight power of the explosive and is a known value. C p is the longitudinal wave velocity of the target ore rock, b is a coefficient, generally ranging from 1 to 9, which is related to the longitudinal wave velocity and is a known value.

[0072] In step S6, let the sieve size x = the predicted average crushing size At this time, the bulk rate R = 0.5. The bulk rate refers to the ratio of materials on the screen. The characteristic size is calculated based on the following formula:

[0073]

[0074] Among them, x e is the characteristic size, x is the sieve hole size, R is the bulk rate, and β is the uniformity index, which is generally taken as 0.8~2.2.

[0075] In step S7, the large block rate is predicted based on the following formula:

[0076]

[0077] The characteristic size has been calculated in step S6, and x is the actual sieve hole size.

[0078] In order to better illustrate the method of predicting large block rate based on burst delay in this embodiment, several specific examples are given as exemplary illustrations.

[0079] Example 1

[0080] Basic parameters: iron ore as the blasting object, minimum resistance line w = 3.2m, rock longitudinal wave velocity C p =5000m / s, ore coefficient ξ=12ms / m, TNT equivalent of each charge Q=78kg; explosive weight power e=105, uniformity index β=1.53, rock volume V per hole 0 =105m 3 ; Sieve hole size x = 100 cm.

[0081] First, the appropriate blasting delay is calculated based on Formula 2: Δt = 38.4ms. Then, the average fragmentation size of the blasted ore is predicted based on Formula 3. It is about 34cm, and then the characteristic size is calculated based on formula 4: x eIt is about 43. Finally, based on Formula 5, the predicted large block rate is about 3%.

[0082] Example 2

[0083] Basic parameters: limestone is used as the blasting object, the minimum resistance line w = 3m, the rock longitudinal wave velocity C p =3000m / s, ore rock coefficient ξ = 9ms / m, TNT equivalent of each hole charge Q = 78kg, explosive weight power e = 115, uniformity index β = 1.6, rock volume V per hole 0 =105m 3 , sieve hole size x = 60cm.

[0084] First, the appropriate blasting delay is calculated based on Formula 2: Δt = 27ms. Then, the average fragmentation size of the blasted ore is predicted based on Formula 3. It is about 24cm, and then the characteristic size is calculated based on formula 4: x e It is about 30. Finally, based on Formula 5, the block rate is predicted to be about 5%.

[0085] Example 3

[0086] Basic parameters: marble is used as the blasting object, the minimum resistance line w = 3m, the rock longitudinal wave velocity C p =6000m / s, ore rock coefficient ξ = 10ms / m, TNT equivalent of each hole charge Q = 78kg, explosive weight power e = 115, uniformity index β = 1.5, rock volume V per hole 0 =100m 3 , sieve hole size x = 60cm.

[0087] First, the appropriate blasting delay is calculated based on Formula 2: Δt = 30ms. Then, the average fragmentation size of the blasted ore is predicted based on Formula 3. About 25cm, and then calculate the characteristic size based on formula 4: x e It is about 32. Finally, based on Formula 5, the predicted large block rate is about 8%.

[0088] In addition, if Figure 2 As shown, another embodiment of the present invention further provides a system for predicting large block rate based on burst delay, preferably using the method of the above embodiment, and the system includes:

[0089] The ore rock property acquisition module is used to acquire the ore rock properties of the target ore rock, wherein the ore rock properties include ore coefficient and longitudinal wave velocity;

[0090] An explosive performance parameter acquisition module is used to determine the explosive performance parameters based on the ore and rock properties of the target ore and rock;

[0091] Hole layout design module, used to select the plum blossom hole layout and adopt the continuous charge structure to design the minimum resistance line;

[0092] Blasting delay calculation module, used to calculate the blasting delay based on the minimum resistance line and ore coefficient;

[0093] The average fragmentation prediction module is used to predict the average fragmentation of the target rock after blasting based on the blasting delay, explosive performance parameters and longitudinal wave velocity;

[0094] Characteristic size calculation module, used to calculate the characteristic size with the sieve size being equal to the predicted average crushing size as a prerequisite;

[0095] The large block rate prediction module is used to predict the large block rate of the target ore rock after blasting based on the characteristic size and the actual sieve hole size.

[0096] It can be understood that the system for predicting the large block rate based on blasting delay in this embodiment first determines the explosive performance parameters based on the ore and rock properties of the target ore and rock, designs the minimum resistance line after selecting a suitable hole layout method, and then calculates a reasonable blasting delay based on the minimum resistance line and the ore and rock properties. Finally, a comprehensive analysis is performed based on factors such as blasting delay, explosive performance parameters, and ore and rock properties to achieve the prediction of the large block rate. The system comprehensively considers the influence of various factors such as ore and rock properties, hole layout method, and explosive performance on blasting delay and large block rate, and has high prediction accuracy. In addition, the plum blossom-shaped hole layout method and continuous charging structure are adopted to further optimize the blasting effect.

[0097] The average broken size prediction module uses the following formula to predict the average broken size of the target rock after blasting:

[0098]

[0099] in, is the average fragmentation size, V 0 is the volume of rock broken in each hole, Q is the TNT equivalent of the explosive pack in each hole, e is the weight power of the explosive, k and b are coefficients, C p is the longitudinal wave velocity of the target ore rock, and Δt is the blasting delay.

[0100] It can be understood that each module in the system of this embodiment corresponds to each step in the above method embodiment, so the specific working process of each module will not be repeated here, and reference can be made to the above method embodiment.

[0101] In addition, another embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the above method by calling the computer program stored in the memory.

[0102] In addition, another embodiment of the present invention further provides a computer-readable storage medium for storing a computer program for predicting large block rate based on burst delay, wherein the computer program executes the steps of the above-mentioned method when running on a computer.

[0103] The general form of computer readable storage media includes: floppy disk, flexible disk, hard disk, magnetic tape, any other magnetic medium, CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with a pattern of holes, random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), flash erasable programmable read-only memory (FLASH-EPROM), any other memory chip or cartridge, or any other medium that can be read by a computer. The instructions can further be transmitted or received by a transmission medium. The term transmission medium can include any tangible or intangible medium that can be used to store, encode or carry instructions for execution by a machine, and includes digital or analog communication signals or other intangible media that facilitate the communication of the above instructions. Transmission media include coaxial cables, copper wire and optical fiber, which include the wires of a bus used to transmit a computer data signal.

[0104] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A system for predicting large block rate based on burst delay, It is characterized in that include: The ore rock property acquisition module is used to acquire the ore rock properties of the target ore rock, wherein the ore rock properties include ore coefficient and longitudinal wave velocity; An explosive performance parameter acquisition module is used to determine the explosive performance parameters based on the ore and rock properties of the target ore and rock; Hole layout design module, used to select the plum blossom hole layout and adopt the continuous charge structure to design the minimum resistance line; Blasting delay calculation module, used to calculate the blasting delay based on the minimum resistance line and ore coefficient; The average fragmentation prediction module is used to predict the average fragmentation of the target rock after blasting based on the blasting delay, explosive performance parameters and longitudinal wave velocity; Characteristic size calculation module, used to calculate the characteristic size with the sieve size being equal to the predicted average crushing size as a prerequisite; The large block rate prediction module is used to predict the large block rate of the target ore rock after blasting based on the characteristic size and the actual sieve hole size.

2. The system for predicting large block rate based on blasting delay as claimed in claim 1, It is characterized in that The average broken fragmentation prediction module uses the following formula to predict the average broken fragmentation of the target rock after blasting: Among them, is the average fragmentation size, V 0 is the volume of broken rock per hole, Q is the TNT equivalent of the explosive charge per hole, e is the weight power of the explosive, k and b are coefficients, C p is the longitudinal wave velocity of the target ore-rock, and Δt is the blasting delay time.

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