CN-121977969-A - On-spot mixed emulsion explosive density intelligent detection system of adaptation rock nature

CN121977969ACN 121977969 ACN121977969 ACN 121977969ACN-121977969-A

Abstract

The invention discloses an intelligent detection system for the density of an on-site mixed emulsion explosive, which is adaptive to the property of rock, and relates to the technical field of explosive density detection. According to the intelligent detection system for the on-site mixed emulsion explosive density adapting to rock properties, the current blasthole lithology parameters are obtained through the profile construction module, an optimal density prediction model of the explosive adapting to lithology is formed by combining historical data through the model construction module, deviation of actual measurement density and optimal density is clear through the deviation settlement module, finally, the opening degree of a regulating valve is dynamically adjusted through the mixed correction module, the pump rotation speed is quantitatively added to correct the density, adaptation of the explosive density and the blasthole lithology is achieved, unreasonable density caused by lithology difference is avoided, the blasting effect is further affected, and the explosive densities of blastholes are always ensured to be in an optimal interval through detection and correction, and stability and consistency of the blasting effect are guaranteed.

Inventors

LI PINGFENG
GONG YUE
XIE SHOUDONG
ZHENG XINBO
XIONG LIANG
LU LEI
YANG KAISHAN
SU HONG

Assignees

宏大爆破工程集团有限责任公司
安徽理工大学

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (10)

1. An intelligent detection system for on-site mixed emulsion explosive density adapting to rock properties, which is characterized by comprising: The profile construction module is used for constructing lithology parameters corresponding to each current blast hole according to the joint development characteristics at the blast hole; The model construction module is used for clustering the lithology parameters of each historical blast hole into a homogeneous hole group, determining the density adaptation degree of the emulsion explosive of each historical blast hole by combining the corresponding overall explosion effect index, and constructing an optimal density prediction model of the explosive; the deviation calculation module is used for determining the optimal density of the explosive corresponding to each blast hole by combining the lithology parameters corresponding to each current blast hole and the optimal density prediction model of the explosive, and carrying out deviation analysis on the optimal density and the actually measured density of the explosive to obtain density deviation degree; And the mixed correction module is used for controlling the opening degree of the regulating valve and the rotating speed of the quantitative addition pump to correct the actually measured explosive density when the density deviation degree is larger than the set deviation threshold value until the density deviation degree is not larger than the set deviation threshold value.
2. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 1, wherein the process of constructing lithology parameters corresponding to each blast hole according to the joint development characteristics of the blast hole is as follows: Performing in-situ detection on the wall of each blast hole and surrounding rock mass to obtain the joint density and the joint opening of each blast hole; carrying out a uniaxial compressive strength test on the rock sample to obtain uniaxial compressive strength; And carrying out standardized treatment on the joint density, the joint opening and the uniaxial compressive strength, and then carrying out one-to-one correspondence with each blast hole to obtain lithology parameters corresponding to each blast hole.
3. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 1, wherein the process of clustering each historical blast hole lithology parameter into a homogeneous hole group, determining the emulsion explosive density adaptation degree of each historical blast hole by combining the corresponding overall explosion effect index, and constructing an optimal density prediction model of the explosive is as follows: uniquely associating historical blasthole lithology parameters with batches or areas participating in blasting, and simultaneously associating the overall blasting effect indexes of the corresponding batches or areas; k-means clustering is carried out on the historical blasthole lithology parameters to obtain K homogeneous hole groups; Calculating single hole explosion energy and single hole rock characteristic comprehensive values of all blast holes in all homogeneous hole groups, and carrying out weight analysis to obtain single hole total contribution degree weight; collecting the integral explosion effect indexes associated with each historical blasthole lithology parameter into corresponding homogeneous hole groups, and carrying out mean value processing to obtain integral explosion effect homogenization indexes; Combining the weight of the total contribution degree of the single hole with the homogenization index of the whole explosion effect, and performing deviation analysis on the combined weight and the design target value of the whole explosion effect to obtain the density adaptation degree of the emulsion explosive of each historical blast hole; sorting the density adaptation degrees of the emulsion explosives in each homogeneous hole group respectively, and screening out historical blasthole lithology parameters corresponding to the density adaptation degrees of the first N emulsion explosives; And carrying out average value processing on the historical explosive density corresponding to the screened historical blasthole lithology parameters, and carrying out one-to-one correspondence with blasthole lithology homogenization parameters obtained by calculating N historical blasthole lithology parameters to obtain an explosive optimal density prediction model.
4. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 3, wherein the process of calculating single hole explosion energy and single hole rock characteristic integrated value of each blast hole in each homogeneous hole group and performing weight analysis to obtain single hole total contribution weight is as follows: Obtaining single-hole explosion energy according to the product of the historical explosive density, the blast hole volume and the emulsion explosive unit mass explosion heat of each blast hole, and taking the ratio of the single-hole explosion energy to the sum of all the single-hole explosion energies in the corresponding homogeneous hole group as single-hole energy weight; Carrying out linear weighted summation on the historical blasthole lithology parameters of each blasthole to obtain a single-hole rock characteristic comprehensive value, and taking the ratio of the single-hole rock characteristic comprehensive value to the sum of all single-hole rock characteristic comprehensive values in the corresponding homogeneous hole group as a single Kong Tezheng weight; And taking the product of the single-hole energy weight and the single-hole characteristic weight as the single-hole total contribution degree weight.
5. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 3, wherein the process of obtaining the emulsion explosive density adaptation degree of each historical blast hole is as follows: Multiplying the total contribution weight of the single hole by each parameter in the integral explosion effect homogenization index to obtain each explosion effect contribution corresponding to the blast hole; Performing difference calculation on the contribution degree of each explosion effect and each parameter in the overall explosion effect design target value correspondingly to obtain each single-hole suitability score; and carrying out linear weighted summation on each single-hole suitability score to obtain the density suitability of the emulsion explosive.
6. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 1, wherein the process of determining the optimal density of the explosive corresponding to each blast hole by combining the lithology parameter corresponding to each blast hole and the optimal density prediction model of the explosive is as follows: the corresponding relation between the rock character homogenizing parameters of the blast holes and the density average value of the historical explosive in the optimal density prediction model of the explosive is called; Respectively carrying out Euclidean distance calculation on lithology parameters corresponding to the current blastholes and lithology homogenization parameters of the blastholes, and determining blasthole lithology homogenization parameters corresponding to the minimum Euclidean distance of each gun; and according to the corresponding relation, taking the corresponding historical explosive density average value as the optimal explosive density corresponding to the blast hole.
7. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 1, wherein the process of performing deviation analysis on the measured explosive density and obtaining the density deviation degree is as follows: two ends of the pipeline of the detection reference section are respectively provided with a group of non-contact density detection probes, and each group of non-contact density detection probes is distributed along the circumferential direction according to the equal angle of the cross section area of the pipeline; Carrying out average value processing on the density acquired by the non-contact density detection probe to obtain the density of the actually measured explosive; And taking the absolute value of the difference between the actually measured explosive density and the optimal explosive density as the density deviation degree.
8. The intelligent on-site mixed emulsion explosive density detection system adapting to rock properties according to claim 1, wherein the process of controlling the opening degree of the regulating valve and the rotation speed of the quantitative addition pump to correct the actually measured explosive density is as follows: If the actually measured explosive density is greater than the optimal explosive density, the rotating speed of the quantitative adding pump is adjusted upwards based on the set rotating speed adjusting quantity, otherwise, the rotating speed of the quantitative adding pump is adjusted downwards; obtaining a theoretical change value of the valve front pressure after the rotation speed adjustment according to the set rotation speed adjustment quantity; If the sum of the theoretical change value and the current valve front pressure is in the pressure safety working interval, carrying out rotation speed adjustment based on the set rotation speed adjustment amount, if the upper limit of the pressure safety working interval is exceeded, carrying out rotation speed adjustment according to half of the set rotation speed adjustment amount, and if the lower limit of the pressure safety working interval is exceeded, abandoning rotation speed adjustment and directly carrying out opening adjustment of the regulating valve; After the single rotation speed adjustment, if the measured valve front pressure is in the pressure safety working interval, re-measuring the density deviation degree, and if the measured valve front pressure exceeds the upper limit of the pressure safety working interval, locking the current rotation speed and carrying out pressure adaptive pre-adjustment until the measured valve front pressure is in the pressure safety working interval; Stopping the rotation speed adjustment if the density deviation degree is not greater than the set deviation threshold value after a certain rotation speed adjustment, otherwise continuing the rotation speed adjustment, stopping the rotation speed adjustment if the density deviation degree is still greater than the set deviation threshold value after the maximum rotation speed adjustment times are reached, locking the current rotation speed and adjusting the opening of the regulating valve.
9. The intelligent on-site mixing emulsion explosive density detection system adapting to rock properties according to claim 8, wherein the process of adjusting the opening of the regulating valve is: If the measured explosive density is greater than the optimal density of the explosive, increasing the opening of the regulating valve, otherwise, reducing the opening of the regulating valve; calculating a pressure allowance according to the difference value between the upper limit of the pressure safety working interval and the pressure before the actual measurement valve, if the pressure allowance is larger than half of the span of the pressure safety working interval, adjusting the opening based on the set amplitude opening, otherwise, adjusting the opening based on half of the set amplitude opening; If the density deviation degree is reduced and is larger than the set deviation threshold value, reducing the set amplitude opening to half, and continuing to adjust the opening; if the density deviation is not greater than the set deviation threshold and the measured valve front pressure is in the pressure safety working interval, stopping opening adjustment; And stopping adjustment and carrying out alarm prompt if the density deviation degree is still larger than the set deviation threshold after the opening degree is adjusted for a plurality of times.
10. The intelligent on-site mixing emulsion explosive density detection system for adapting rock properties according to claim 8, wherein the pressure adaptation pre-adjustment process is: and performing constant amplitude opening pre-adjustment on the regulating valve along the direction of increasing the through flow, re-measuring the front pressure of the valve after the pre-adjustment is finished until the front pressure of the valve returns to the pressure safety working interval, and locking the current opening.

Description

On-spot mixed emulsion explosive density intelligent detection system of adaptation rock nature Technical Field The invention relates to the technical field of explosive density detection, in particular to an intelligent detection system for on-site mixed emulsion explosive density adapting to rock properties. Background The adaptation of the density of the field mixed emulsion explosive and the lithology of the blast holes is an important link for guaranteeing the stability of the blasting effect, however, in the field mixed scene of the actual blasting engineering, factors such as rock mass lithology difference, equipment regulation limitation and the like are commonly existed, and the prior art scheme has the defects that firstly, the prior art mostly relies on experience to set the density of the fixed explosive, and the lithology essential difference of different blast holes cannot be comprehensively represented. Secondly, the prior proposal ignores the feedback value of the explosion effect of the lithology similar blastholes, and is difficult to match personalized optimal density of the explosive for specific blastholes. Finally, most of the existing density correction is independent adjustment of single pump rotation speed or valve opening, a pre-valve pressure coupling constraint mechanism is not integrated, and accurate density correction is difficult to achieve. Therefore, an intelligent detection system with multidimensional lithology parameter quantification, prediction model construction by combining with historical data and pump valve pressure correction is needed to solve the technical bottleneck, realize the adaptation of explosive density and blasthole lithology and ensure the consistency and stability of blasting effect. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent detection system for the density of the field mixed emulsion explosive, which adapts to the rock property, and solves the problem that the density deviates from an optimal value due to the fact that the density of the field mixed emulsion explosive is not accurately adapted according to the lithology of a blast hole. The intelligent detection system for the on-site mixed emulsion explosive density adapting to rock properties comprises a section construction module, wherein the section construction module is used for constructing lithology parameters corresponding to all current blastholes according to joint development characteristics of the blastholes. The model construction module is used for clustering the lithology parameters of each historical blast hole into a homogeneous hole group, determining the density adaptation degree of the emulsion explosive of each historical blast hole by combining the corresponding overall explosion effect index, and constructing an optimal density prediction model of the explosive. The deviation calculation module is used for determining the optimal density of the explosive corresponding to each blast hole by combining the lithology parameters corresponding to each current blast hole and the optimal density prediction model of the explosive, and carrying out deviation analysis on the optimal density of the explosive corresponding to each blast hole and the actually measured density of the explosive to obtain the density deviation degree. And the mixed correction module is used for controlling the opening degree of the regulating valve and the rotating speed of the quantitative addition pump to correct the actually measured explosive density when the density deviation degree is larger than the set deviation threshold value until the density deviation degree is not larger than the set deviation threshold value. Compared with the prior art, the invention has the advantages that the current blasthole lithology parameters are obtained through the profile construction module, the model construction module is used for combining historical data to form the optimal density prediction model of the explosive with the adapted lithology, the deviation of the measured density and the optimal density is clear through the deviation calculation module, and finally the opening degree of the regulating valve is dynamically regulated through the mixed correction module and the rotational speed of the pump is quantitatively added to correct the density, so that the adaptation of the explosive density and the blasthole lithology is realized, the influence on the blasting effect due to unreasonable density caused by lithology difference is avoided, the explosive density of each blasthole is always in the optimal interval through detection and correction, and the stability and consistency of the blasting effect are ensured. Drawings FIG. 1 is a schematic diagram of the modular connection of the intelligent detection system for the density of the on-site mixed emulsion explosive, which is adaptive to the rock property. FIG. 2 is a flow chart of constructing an