CN115310686A - Method, device, equipment and medium for predicting blasting qualified rate of strip mine - Google Patents
Method, device, equipment and medium for predicting blasting qualified rate of strip mine Download PDFInfo
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- 238000005422 blasting Methods 0.000 title claims abstract description 212
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Abstract
The invention discloses a method and a device for predicting the blasting qualified rate of strip mine, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring the blast hole filling length; establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate; determining an expected range of the blasting qualified rate according to field engineering parameters; performing linear regression simulation on the initial blasting qualification rate prediction model, and determining regression parameters of the initial blasting qualification rate prediction model to obtain a target blasting qualification rate prediction model; and inputting the blast hole filling length serving as an input parameter into a target blasting qualified rate prediction model to obtain a predicted value of the strip mine blasting qualified rate. According to the method, the corresponding blasting qualified rate is obtained through the blast hole filling length, and the purpose of achieving the expected blasting effect through guiding the production process through the blast hole filling length is achieved.
Description
Technical Field
The invention relates to the technical field of hole-by-hole blasting of medium-length hole steps in surface mines, in particular to a method and a device for predicting the blasting qualified rate of surface mines, electronic equipment and a storage medium.
Background
In geotechnical engineering blasting, blast hole blocking is an important link of drilling and blasting method construction and is also one of important factors influencing blasting effect. The blast hole blocking length has important influences on the propagation of explosive column detonation waves, the change of detonation gas pressure in the blast hole, the stress wave strength in rock mass, the blasting effect, the blasting safety and the like, the determination of the blast hole blocking length is an important content of blasting design, and the reasonable blocking length can ensure that the whole blasting area is loose and can control flyrock in a safety range.
At present, most mines do not have a prediction technology for blasting effect aiming at blast hole filling length, so that corresponding accurate rationalization suggestions are difficult to give for blasting procedures, and the blasting piles have large blocks, so that the blasted ores cannot directly enter other production procedures, and the cost of secondary crushing is increased.
Therefore, a method for predicting the blasting effect of the strip mine needs to be provided, and the problems of low blasting efficiency and high cost in the prior art are solved.
Disclosure of Invention
The invention aims to overcome the technical defects, provides a method and a device for predicting the blasting qualified rate of a strip mine, electronic equipment and a storage medium, and solves the technical problems of low blasting efficiency and high cost in the prior art.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for predicting the blasting qualification rate of a strip mine, comprising:
acquiring the filling length of a blast hole;
establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
determining the optimal range of the blasting qualified rate according to field engineering parameters;
performing linear regression simulation on the initial blasting qualified rate prediction model within the expected range of the blasting qualified rate, and determining regression parameters of the initial blasting qualified rate prediction model to obtain a target blasting qualified rate prediction model;
and inputting the blast hole filling length serving as an input parameter into a target blasting qualification rate prediction model to obtain a predicted value of the strip mine blasting qualification rate.
In some embodiments, the initial blast yield prediction model is: y = -a (l) d -b) 2 +c，
Wherein y represents the blasting yield, l d The blast hole is filled with the length, and a, b and c are blasting parameters.
In some embodiments, the field engineering parameters include physical secondary blast cost, blast hole stemming length versus line of least resistance, and blast hole stemming length versus blast hole bore diameter.
In some embodiments, the blasthole stemming length and line of least resistance is expressed by the following equation: l is not less than 0.5W d W is less than or equal to W, wherein W is the minimum resistance line, l d Filling the length of the blast hole.
In some embodiments, the relationship of the blast hole stemming length to the blast hole bore diameter is expressed by the following equation: l is not less than 20d d Less than or equal to 70 days, wherein d is the bore diameter of the blast hole, l d Filling the length of the blast hole.
In some embodiments, the performing a linear regression simulation on the initial blasting yield prediction model within the expected range of the blasting yield, determining regression parameters of the initial blasting yield prediction model, and obtaining the target blasting yield prediction model includes:
inputting the blast hole filling length and the blasting qualification rate into the initial blasting qualification rate prediction model, and constructing a regression parameter of the blasting qualification rate prediction model;
obtaining an estimated value of the regression parameter based on a preset least square method;
and determining a target blasting qualification rate prediction model according to the estimated value of the regression parameter.
In some embodiments, the blasting pass rate is the volume ratio of the ore that can be screened after blasting to the initial ore after blasting.
In a second aspect, the present invention further provides a device for predicting the blasting yield of an open pit mine, comprising:
the acquisition module is used for acquiring the blast hole filling length;
the modeling module is used for establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
the qualification rate range determining module is used for determining the optimal range of the blasting qualification rate according to the field engineering parameters;
the target model determination module is used for performing linear regression simulation on the initial blasting qualified rate prediction model, determining regression parameters of the initial blasting qualified rate prediction model and obtaining a target blasting qualified rate prediction model;
and the prediction module is used for inputting the blast hole filling length serving as an input parameter into a target blasting qualified rate prediction model to obtain a predicted value of the strip mine blasting qualified rate.
In a third aspect, the present invention further provides an electronic device, including: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the method of predicting strip mine blast qualification rate as described above.
In a fourth aspect, the present invention also provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps in the method for predicting open pit blast qualification as described above.
Compared with the prior art, the method, the device, the electronic equipment and the storage medium for predicting the blasting qualification rate of the strip mine provided by the invention have the advantages that firstly, the relation between the blasting qualification rate and the blast hole filling length is determined according to the influence of the blast hole filling length on a blasting result, then, an initial blasting qualification rate prediction model between the blast hole filling length and the blasting qualification rate is constructed according to the influence degree of the blast hole filling length on the blasting qualification rate, the dereferencing range of the qualification rate is normalized through on-site engineering parameters, and then, the regression parameters of the initial blasting qualification rate prediction model are determined through linear regression analysis, so that a target blasting qualification rate prediction model is obtained.
Drawings
FIG. 1 is a flow chart of an embodiment of a method of predicting strip mine blasting qualification rate provided by the present invention;
FIG. 2 is a flowchart illustrating an embodiment of step S104 of the method for predicting the blasting yield of a strip mine according to the present invention;
FIG. 3 is a schematic diagram of an embodiment of an apparatus for predicting strip mine blasting qualification rate according to the present invention;
fig. 4 is a schematic operating environment diagram of an embodiment of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Blasting is an important link in a mining process, and the quality of blasting effect plays an important role in the production of mines. 'one big gun and one thousand two' are the best pictures for blasting, and after blasting, the large output rate of ore directly influences the cost of secondary unit consumption and the ore removal efficiency. The following problems generally exist during the drilling blasting operation of the strip mine: the problems that the drilling angle is deviated, the distance between the pre-splitting holes is not consistent with the design, the charging structure is disordered, the vacancy deviation is serious, the distance between the pre-splitting holes and the buffer holes is not uniform, the packing length is not enough, the hole depth is not enough and the like exist, compared with the expected effect, the qualification rate is low, the blasting quality is poor, and the actual production requirement cannot be met; therefore, secondary blasting is often required to effectively utilize the blasted product, so that the blasting efficiency is low and the blasting cost is high.
The method, the device and the equipment for predicting the blasting qualification rate of the strip mine or the computer readable storage medium can be used for predicting the influence degree of the blast hole filling length on the blasting qualification rate in the blasting process of the strip mine. The method, apparatus, device or computer readable storage medium of the present invention may be integrated with the system or may be relatively independent.
The following explains the terms related to the present invention:
blasting qualification rate refers to the quantity that the ore can sieve after the blasting and the total ratio of the ore after the blasting, wherein sieves the ore after adopting certain specification to explode for the sieve screens, can be through the ore of sieve for can directly carrying out the qualified ore that next step's process used, the ore that can not cross through the sieve then needs carry out the secondary blasting.
The blast hole filling means that in the blasting operation process, the blast hole is filled with the explosive, so that the explosive energy can be intensively utilized well, and a better blasting effect is achieved.
Fig. 1 is a flowchart of a method for predicting the blasting yield of a strip mine according to an embodiment of the present invention, and referring to fig. 1, the method for predicting the blasting yield of a strip mine includes the following steps:
s101, acquiring the blast hole filling length;
s102, establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
s103, determining the optimal range of the blasting qualified rate according to field engineering parameters;
s104, performing linear regression simulation on the initial blasting qualified rate prediction model, and determining regression parameters of the initial blasting qualified rate prediction model to obtain a target blasting qualified rate prediction model;
and S105, inputting the blast hole filling length serving as an input parameter into a target blasting qualified rate prediction model to obtain a predicted value of the strip mine blasting qualified rate.
In the embodiment, firstly, the relationship between the blasting qualification rate and the blast hole filling length is determined according to the influence of the blast hole filling length on the blasting result, then, an initial blasting qualification rate prediction model between the blast hole filling length and the blasting qualification rate is constructed according to the influence degree of the blast hole filling length on the blasting qualification rate, the value range of the qualification rate is normalized through field engineering parameters, then, regression parameters of the initial blasting qualification rate prediction model are determined through linear regression analysis, a target blasting qualification rate prediction model is obtained, the qualification rates under different blast hole filling lengths can be predicted through the target blasting qualification rate prediction model, accordingly, production is guided to select the proper blast hole filling length according to actual requirements, the blasting cost is saved to the maximum, and the blasting efficiency is improved.
Wherein, the initial blasting qualified rate prediction model is as follows: y = -a (l) d -b) 2 + c, wherein y represents the blasting pass rate, l d The blast hole is filled with the length, and a, b and c are blasting parameters.
It should be noted that the evaluation standard of the blasting qualification rate is not single, and meanwhile, the index influencing the blasting qualification rate is related to the blast hole filling length, but the influence degree of the blast hole filling length on the blasting effect is the largest, and the blast hole filling length can directly reflect the quality of the blasting effect, so that a prediction model of the blast hole qualification rate is established according to the influence degree of the blast hole filling length on the blasting qualification rate, different blast hole filling length values are input through the prediction model, the corresponding blasting qualification rate is obtained, and the selection of the proper blast hole filling length in the production process can be guided to obtain the optimal blasting qualification rate, so as to achieve the expected blasting effect.
In some embodiments, the field engineering parameters include physical secondary blast cost, blast hole stemming length versus line of least resistance, and blast hole stemming length versus blast hole bore diameter.
It should be noted that, because the factors influencing the blasting qualification rate are multiple, not only are related to the parameters of blasting, but also the economic cost generated in the blasting process is considered, and the blasting effect is influenced by the field environment and the operator to a certain extent, has uncertainty and cannot be completely represented quantitatively; therefore, the range of the qualified rate needs to be correspondingly restricted according to the actual requirements of the strip mine and the corresponding blasting parameters, and the blasting can be considered to achieve the expected effect as long as the blasting qualified rate is within the set interval; in this embodiment, the parameters defining the burst qualification rate include the following:
firstly, the economic cost brought by physical secondary blasting needs to be considered, namely the cost generated by secondary treatment of ores which cannot be screened and enter a downstream production line for direct use;
in addition, the relation between the blast hole filling length and the minimum resistance line is also included, wherein the minimum resistance line is the shortest distance from the center or gravity of a explosive package to the nearest free surface in engineering blasting, the minimum resistance line is the direction with the minimum rock resistance in blasting, the rock movement speed is highest in the direction, the blasting effect is also most concentrated, and therefore the minimum resistance line is the leading direction of the blasting effect and the leading direction of the throwing effect, and therefore when the blasting qualification rate of open pit mines is measured, the key influence parameter of the minimum resistance line is required to be introduced, the expected blasting effect can be ensured to have the best qualification rate and meet the actual production requirement; in a specific embodiment, the blasthole stemming length and the line of least resistance are expressed by the following formula: l is not less than 0.5W d W is less than or equal to W, wherein W is the minimum resistance line, l d Filling the blast hole with a length, wherein the relationship between the minimum resistance line and the blasting qualified rate can be determined by a blasting specification manualAnd (6) inquiring access of the records of the gateway.
Factors influencing the blasting qualification rate also include the relationship between the filling length of the blast holes and the aperture of the blast holes, the aperture of the blast holes is different, and the filling lengths of the corresponding blast holes are different; in a particular embodiment, the relationship between the length of blast hole stemming and the bore diameter is expressed by the following formula: l is not less than 20d d Less than or equal to 70 days, wherein d is the bore diameter of the blast hole, l d And filling the blast hole with a length.
In some embodiments, referring to fig. 2, the performing a linear regression simulation on the initial blasting yield prediction model to determine regression parameters of the initial blasting yield prediction model to obtain a target blasting yield prediction model includes:
s201, inputting the blast hole filling length and the blasting qualified rate into the initial blasting qualified rate prediction model, and constructing a regression parameter of the blasting qualified rate prediction model;
s202, obtaining an estimated value of the regression parameter based on a preset least square method;
and S203, determining a target blasting qualified rate prediction model according to the estimated value of the regression parameter.
In this embodiment, parameters of the blasting yield prediction model can be determined by a least square method, so that an accurate yield value can be determined according to the blast hole filling length, and production is guided to achieve a desired blasting effect.
In a specific embodiment, according to the prior blasting log of the mine (the blasting log can record information such as blast hole filling length and charging length, and the qualification rate is fed back by factory selection) and model test (a blasting test with the size of 10 is constructed, actually produced explosives and rocks with the same lithology are still used in the experiment, but the size of the blast hole and the filling length are actually 1/10, the explosive consumption is actually 1/1000, and the calculation principle of the qualification rate is the same), different l are obtained d The percent of pass is as follows. During the blasting, record l di (i represents the number of shots) and y i The numerical value in between. y is i The calculation method comprises the following steps: for different stuffing lengths of l d Randomly selecting n groups of the blasted rocks for screening, and selecting initial blasting pilesTotal volume of ore is V 0i The selection plant is provided with a sieve for judging the qualification rate, and the ore which can pass through the sieve mesh is V 1i Then the pass rate = V 0i /V 1i X 100%, and finally taking the average value of n groups as the final qualified rate of the stuffing length.
Based on the method for predicting the blasting qualified rate of the strip mine, the embodiment of the invention further provides a device 300 for predicting the blasting qualified rate of the strip mine, and referring to fig. 3, the device 300 for predicting the blasting qualified rate of the strip mine comprises an obtaining module 310, a modeling module 320, a qualified rate range determining module 330, a target model determining module 340 and a predicting module 350.
An obtaining module 310, configured to obtain a blast hole filling length;
the modeling module 320 is used for establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
a qualification rate range determining module 330, configured to determine an optimal range of the blasting qualification rate according to a field engineering parameter;
the target model determining module 340 is configured to perform linear regression simulation on the initial blasting yield prediction model, determine regression parameters of the initial blasting yield prediction model, and obtain a target blasting yield prediction model;
and the prediction module 350 is used for inputting the blast hole filling length serving as an input parameter into a target blasting qualification rate prediction model to obtain a predicted value of the strip mine blasting qualification rate.
As shown in fig. 4, based on the method for predicting the blasting qualified rate of the strip mine, the invention further provides an electronic device, which may be a mobile terminal, a desktop computer, a notebook, a palm computer, a server and other computing devices. The electronic device includes a processor 410, a memory 420, and a display 430. Fig. 4 shows only some of the components of the electronic device, but it is to be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
The storage 420 may in some embodiments be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The memory 420 may also be an external storage device of the electronic device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device. Further, the memory 420 may also include both internal storage units of the electronic device and external storage devices. The memory 420 is used for storing application software installed in the electronic device and various data, such as program codes for installing the electronic device. The memory 420 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 420 stores a strip mine blasting yield prediction program 440, and the strip mine blasting yield prediction program 440 can be executed by the processor 410 to implement the strip mine blasting yield prediction method according to the embodiments of the present application.
The processor 410, which in some embodiments may be a Central Processing Unit (CPU), microprocessor or other data Processing chip, is configured to execute program code stored in the memory 420 or process data, such as performing a method for predicting the burst yield of a strip mine.
The display 430 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 430 is used to display information on the equipment for predicting the blast acceptability in the open pit mine and to display a visual user interface. The components 410-430 of the electronic device communicate with each other via a system bus.
Of course, it can be understood by those skilled in the art that all or part of the processes in the methods of the embodiments described above can be implemented by instructing relevant hardware (such as a processor, a controller, etc.) by a computer program, and the program can be stored in a computer-readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. A method for predicting the blasting qualified rate of a strip mine is characterized by comprising the following steps:
acquiring the blast hole filling length;
establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
determining an expected range of the blasting qualified rate according to field engineering parameters;
performing linear regression simulation on the initial blasting qualified rate prediction model within the expected range of the blasting qualified rate, determining regression parameters of the initial blasting qualified rate prediction model, and obtaining a target blasting qualified rate prediction model;
and inputting the blast hole filling length serving as an input parameter into a target blasting qualified rate prediction model to obtain a predicted value of the strip mine blasting qualified rate.
2. The method for predicting blasting yield of an open pit mine according to claim 1, wherein the initial blasting yield prediction model is: y = -a (l) d -b) 2 +c，
Wherein y represents the blasting pass percent, l d The blast hole is filled with the length, and a, b and c are blasting parameters.
3. The method of predicting blast qualification rate for open pit mines according to claim 1, wherein the field engineering parameters include cost of physical secondary blasting, blast hole stemming length versus line of least resistance, and blast hole stemming length versus blast hole diameter.
4. According to claim3, the method for predicting the blasting qualified rate of the strip mine is characterized in that the blasthole filling length and the minimum resistance line are expressed by the following formula: l is not less than 0.5W d W is less than or equal to W, wherein W is the minimum resistance line, l d Filling the length of the blast hole.
5. The method of predicting open pit blasting qualification of claim 3, wherein the relationship between the blast hole stemming length and the blast hole diameter is expressed by the following equation: l is not less than 20d d Less than or equal to 70 days, wherein d is the bore diameter of the blast hole, l d Filling the length of the blast hole.
6. The method for predicting the blasting yield of the strip mine according to claim 1, wherein the step of performing linear regression simulation on the initial blasting yield prediction model within the expected range of the blasting yield to determine regression parameters of the initial blasting yield prediction model to obtain a target blasting yield prediction model comprises the following steps of:
inputting the blast hole filling length and the blasting qualification rate into the initial blasting qualification rate prediction model, and constructing a regression parameter of the blasting qualification rate prediction model;
obtaining an estimated value of the regression parameter based on a preset least square method;
and determining a target blasting qualification rate prediction model according to the estimated value of the regression parameter.
7. The method of claim 1, wherein the blast qualification is a ratio of the volume of the ore that can be screened after blasting to the initial ore after blasting.
8. A prediction device of strip mine blasting qualification rate is characterized by comprising:
the acquisition module is used for acquiring the blast hole filling length;
the modeling module is used for establishing an initial blasting qualified rate prediction model of the blast hole filling length and the blasting qualified rate according to the influence degree of the blast hole filling length on the blasting qualified rate;
the qualification rate range determining module is used for determining the optimal range of the blasting qualification rate according to the field engineering parameters;
the target model determination module is used for performing linear regression simulation on the initial blasting qualified rate prediction model, determining regression parameters of the initial blasting qualified rate prediction model and obtaining a target blasting qualified rate prediction model;
and the prediction module is used for inputting the blast hole filling length serving as an input parameter into a target blasting qualification rate prediction model to obtain a predicted value of the strip mine blasting qualification rate.
9. An electronic device, comprising: a processor and a memory;
the memory has stored thereon a computer readable program executable by the processor;
the processor, when executing the computer readable program, implements the steps in the method for predicting strip mine blasting qualification rate as described above.
10. A computer readable storage medium, storing one or more programs, which are executable by one or more processors, to implement the steps in the method for predicting strip mine blast acceptability as described above.
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| CN115630257A (en) * | 2022-12-19 | 2023-01-20 | 中南大学 | Blasting funnel volume prediction method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115630257A (en) * | 2022-12-19 | 2023-01-20 | 中南大学 | Blasting funnel volume prediction method |
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