CN117610315A - Tunnel intelligent blasting design system based on multiple geological information - Google Patents
Tunnel intelligent blasting design system based on multiple geological information Download PDFInfo
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- 238000005422 blasting Methods 0.000 title claims abstract description 128
- 238000013461 design Methods 0.000 title claims abstract description 94
- 238000005457 optimization Methods 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000005192 partition Methods 0.000 claims abstract description 15
- 239000002360 explosive Substances 0.000 claims abstract description 14
- 230000002093 peripheral effect Effects 0.000 claims abstract description 6
- 239000011435 rock Substances 0.000 claims description 63
- 230000000694 effects Effects 0.000 claims description 20
- 238000005553 drilling Methods 0.000 claims description 16
- 238000004458 analytical method Methods 0.000 claims description 13
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 11
- 238000005474 detonation Methods 0.000 claims description 11
- 238000005516 engineering process Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 8
- 239000000126 substance Substances 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 230000037452 priming Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 238000009430 construction management Methods 0.000 claims description 3
- 230000000977 initiatory effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 125000004122 cyclic group Chemical group 0.000 claims description 2
- 210000001503 joint Anatomy 0.000 claims description 2
- 238000003703 image analysis method Methods 0.000 claims 2
- 230000001934 delay Effects 0.000 claims 1
- 238000009412 basement excavation Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 abstract description 2
- 238000004880 explosion Methods 0.000 abstract 3
- 238000010586 diagram Methods 0.000 description 7
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- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
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- 239000003814 drug Substances 0.000 description 2
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- 230000004075 alteration Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/006—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries by making use of blasting methods
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F42—AMMUNITION; BLASTING
- F42D—BLASTING
- F42D1/00—Blasting methods or apparatus, e.g. loading or tamping
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F42—AMMUNITION; BLASTING
- F42D—BLASTING
- F42D1/00—Blasting methods or apparatus, e.g. loading or tamping
- F42D1/04—Arrangements for ignition
- F42D1/045—Arrangements for electric ignition
- F42D1/05—Electric circuits for blasting
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F42—AMMUNITION; BLASTING
- F42D—BLASTING
- F42D3/00—Particular applications of blasting techniques
- F42D3/04—Particular applications of blasting techniques for rock blasting
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The invention discloses a tunnel intelligent blasting design system based on multi-element geological information, which comprises intelligent judgment and blasting fine partition of the multi-element geological information of a tunnel face; based on the blasting partition of the face, the optimal circulating footage, the specific explosive consumption of each region and the layout position of the cut holes are accurately determined, so that the blasting parameter design of peripheral holes, the cut holes and other holes is sequentially completed; according to the maximum blasting vibration speed allowed by the surrounding environment, sequentially determining the maximum single-stage blasting explosive quantity, the blasting sequence and the time delay time difference, and further completing the blasting circuit design; and through post-explosion information feedback, intelligent optimization of explosion design parameters is realized. The method has the beneficial effects that based on the multi-element geological information of the tunnel excavation face and post-explosion feedback information, scientific, reasonable and feasible blasting design parameters are obtained through intelligent learning and optimization calculation of a large amount of information data, and timeliness and accuracy of tunnel blasting design are realized.
Description
Technical Field
The invention belongs to the tunnel blasting technology, and relates to an intelligent tunnel blasting design system based on multi-element geological information.
Background
The drilling and blasting method is a main method for tunnel excavation, the current domestic tunnel blasting design generally depends on manual experience writing, usually one design scheme is used for serving the whole tunnel, drilling and blasting parameters cannot be timely adjusted according to geological practical conditions revealed on site, the drilling and blasting design scheme is overhead, the site is completely drilled and charged by experience, the blasting effect cannot be guaranteed, the consumption of blasting equipment is large, and the ultra-short excavation is serious. Therefore, research on developing an intelligent optimal design method for tunnel drilling and blasting is needed, so that each gun has a targeted design scheme, and the technical problem of design and construction disjointing is solved.
In intelligent design of tunnel blasting, intelligent analysis of geological information is a foundation, and intelligent design and optimization of blasting parameters are core. In recent years, with the continuous development and maturity of artificial intelligence technology, big data analysis technology, image intelligent analysis technology and the like, the intelligent analysis of multi-element geological information is realized by utilizing image processing technology, and the intelligent design and optimization of blasting parameters are realized by utilizing artificial intelligence and big data analysis technology, so that the realization of intelligent tunnel blasting design based on multi-element geological information has become an important development trend and urgent need in the technical field of tunnel blasting nowadays.
Disclosure of Invention
In order to solve the problems that the conventional blasting design is insufficient in pertinence and difficult to guarantee the effect, the invention provides a tunnel intelligent blasting design system based on multi-element geological information, which can timely and accurately obtain an optimal blasting scheme so as to improve the tunneling efficiency of a tunnel, reduce the construction cost, improve the construction quality and ensure the construction period.
In order to solve the above-mentioned purpose, adopt the following technical scheme:
a tunnel intelligent blasting design system based on multi-element geological information comprises the following steps:
s1, acquiring multiple geological information and performing surrounding rock blasting fine partition by utilizing an image processing and intelligent analysis algorithm based on a surrounding rock image of a tunnel face;
s2, combining the blasting fine partition of surrounding rock of the tunnel face, and determining the optimal cyclic footage, the specific explosive consumption of each region and the layout position of the cut hole by utilizing embedded design parameters and intelligent algorithms;
s3, further completing blasting parameter design of peripheral holes, cut holes and other holes (auxiliary holes and bottom plate holes) in sequence by utilizing embedded design parameters and an intelligent algorithm;
s4, determining the maximum single-stage detonating explosive quantity according to the maximum allowable vibration speed of the surrounding environment;
s5, determining the detonation sequence and the delay time difference by utilizing embedded design parameters and an intelligent algorithm, and further completing the design of the detonation circuit;
s6, implementing blasting according to the blasting design parameters, monitoring blasting vibration in the blasting process, feeding back blasting effect parameters and vibration monitoring results to the system after blasting, and realizing intelligent optimization of the blasting design parameters by using an intelligent algorithm.
The method is based on the automatic acquisition and intelligent analysis technology of the multi-element geological information, and the multi-element geological information such as surrounding rock lithology, weathering degree, rock hardness degree, structural surface parameters, rock integrity degree, main weak structural surface appearance and the like is timely obtained through advanced technical means and is used for optimizing the design of blasting parameters.
And according to the acquired detailed geological information of the tunnel face, combining the tunnel face contour data, accurately partitioning the tunnel face by a system, and accurately determining the specific charge of each region.
The cutting mode is not limited during blasting design, the cutting hole arrangement position is determined according to blasting partition and vibration control requirements, the cutting area is located in a homogeneous rock body, the cutting effect is guaranteed, meanwhile, the cutting device is far away from one side of a protected building (building) as far as possible, and the influence of blasting vibration on the protected building (building) is reduced.
The method comprises the steps of sequentially designing the cut holes, the peripheral holes, the auxiliary holes and the bottom plate holes through embedded design parameters of the system and intelligent optimization algorithm, wherein the obtained blasting parameters comprise the number of drilled holes, the distance, the row spacing, the angle, the depth, the single-hole loading quantity, the loading structure and the like, and the design result is output in the form of a table and a three-dimensional image.
According to the requirements of the surrounding environment and the maximum allowable vibration speed value of the surrounding protected structure (building), the maximum detonation quantity of a single section is calculated and determined through the embedded design parameters of the system and the intelligent optimization algorithm, and the single section is possible to detonate hole by hole or detonate multiple holes simultaneously.
The blasting network designed by the system adopts an electronic detonator priming network, the delay time of each hole can be obtained, the inter-hole and inter-section delay is counted in milliseconds, and the design result is output in the form of a table and a two-dimensional image.
The system completes the tunnel blasting design, and the blasting construction is guided according to the design parameters. During blasting, blasting vibration needs to be monitored, and after blasting, blasting quality is counted, such as a footage rate, a half-porosity, a large block rate, an over-underexcavation value and the like.
After each blasting, the collected blasting effect parameters and vibration monitoring results are input into a system, and the blasting design parameters are continuously and intelligently optimized through information feedback.
The system is reserved with an external interface, can be directly in butt joint with the intelligent rock drill trolley and the mechanical drug loading equipment, realizes data transmission, and guides the construction of subsequent drilling and drug loading procedures.
The system can generate various data reports according to the needs at regular intervals, such as the consumption of initiating explosive devices per cycle, the number of drilling holes, the total delay of drilling holes, the utilization rate of blast holes, the specific consumption of comprehensive explosives and the like, and is used for construction management and engineering data statistics.
The intelligent acquisition and accurate analysis method has the beneficial effects that based on intelligent acquisition and accurate analysis of the multi-element geological information of the tunnel surrounding rock, scientific, reasonable and feasible blasting design parameters are rapidly obtained through optimization calculation of a large amount of blasting engineering basic data and specialized models, and timeliness and accuracy of tunnel blasting design are realized. The invention can obviously improve the design level of tunnel blasting, improve the blasting effect of the tunnel, reduce the consumption of blasting equipment, effectively control the over-excavation, reduce the influence of blasting hazard effect on the surrounding environment, and has good economic and social benefits.
Drawings
Fig. 1 is a flow chart of the present invention.
Fig. 2 is a flow chart for intelligently analyzing geological information parameters such as surrounding rock lithology, weathering degree, rock hardness degree and the like.
Fig. 3 is a flow chart for intelligently analyzing parameters of geological information such as parameters of a surrounding rock structural surface, rock integrity, structural surface occurrence and the like.
Fig. 4 is a schematic diagram of a face surrounding rock blasting partition.
Fig. 5 is a schematic view of the position of the undercut region.
FIG. 6 is a statistical diagram of parameters of each action borehole after design is completed.
FIG. 7 is a schematic diagram of a completed priming circuit.
FIG. 8 is a flow chart for intelligent optimization of blasting design parameters.
Detailed Description
The present invention will be described in detail below with reference to the embodiments shown in the drawings, but it should be understood that the embodiments are not limited to the invention, and functional, method, or structural equivalents and alternatives thereof, which are apparent to one skilled in the art from the embodiments, are intended to be included in the scope of the present invention.
FIG. 1 is a flow chart of a tunnel intelligent blasting design system based on multiple geological information. As shown, the method comprises the following steps:
s1, acquiring multi-element geological information of surrounding rock of a tunnel face by utilizing image processing and intelligent analysis algorithm, and carrying out surrounding rock blasting fine partition, wherein the multi-element geological information of the surrounding rock comprises: surrounding rock lithology, weathering degree, rock hardness degree, structural plane parameters, rock integrity degree, main weak structural plane appearance, etc.
FIG. 2 is an image intelligent analysis method of geological information such as surrounding rock lithology, weathering degree, rock hardness degree and the like, acquires surrounding rock image color parameter characteristic values of a face by utilizing an image processing technology, constructs a surrounding rock image sample information database, finds out nonlinear mapping relations between the surrounding rock image color parameter characteristic values and surrounding rock lithology, weathering degree, rock hardness degree parameters by an artificial intelligent algorithm, establishes a corresponding surrounding rock geological information intelligent judgment model, and accordingly develops intelligent judgment and analysis of related information.
Fig. 3 is an image intelligent analysis method of geological information such as structural plane parameters, rock integrity degree and main weak structural plane occurrence, based on surrounding rock images, acquiring surrounding rock structural plane trace information by using an image processing technology, and automatically obtaining parameter characteristic values such as structural plane parameters, rock integrity degree and main weak structural plane occurrence through structural plane trace coordinate information.
And on the basis of the acquired surrounding rock multi-element geological information, automatically classifying the geological information with the same attribute, and realizing the blasting fine partition of the surrounding rock of the face. Fig. 4 is a schematic diagram of a face surrounding rock blasting partition. In the figure: 1 is the outline of the face, 2, 3 and 4 are the rock mass of three different lithology and structural face, according to which the system automatically divides it into 3 areas.
S2, combining the fine blasting partition of surrounding rock of the tunnel face to determine the specific explosive consumption of each area, and obtaining the optimal circulating footage and the layout position of the cut hole.
For tunnel blasting, the quality of the slitting effect directly influences the tunnel blasting effect, and meanwhile, according to measured data, the vibration generated by the slitting blasting is maximum no matter what slitting mode is adopted, so that the position of a slitting area is determined according to blasting partition and vibration control requirements in order to achieve good slitting effect, the slitting area is ensured to be in a uniform rock body, the slitting effect is ensured, meanwhile, the side of a protected building is kept away as far as possible, and the influence of blasting vibration on the protected building is reduced. Fig. 5 is a schematic view of the position of the undercut region, the undercut region being located on the lower left side of the face.
And S3, sequentially completing blasting parameter design of peripheral holes, cut holes and other holes (auxiliary holes and bottom plate holes) by using embedded design parameters and an intelligent optimization algorithm. The blasting parameters of each action hole comprise drilling quantity, spacing, row distance, angle and depth, single-hole loading capacity, loading structure and the like, and the design result is output in form of a table and a three-dimensional image. FIG. 6 is a statistical diagram of parameters of the functional blastholes after the design is completed.
S4, calculating and determining the single-stage maximum detonation quantity through the embedded design parameters of the system and an intelligent optimization algorithm according to the requirements of the surrounding environment and the allowable maximum vibration speed value of the surrounding protected structure (building), wherein the single-stage maximum detonation quantity can be hole-by-hole detonation or multi-hole simultaneous detonation.
S5, determining the detonation sequence and the delay time difference by utilizing the embedded design parameters of the system and an intelligent optimization algorithm, further completing the design of the detonation circuit, and outputting the design result in the form of a table and a two-dimensional image. FIG. 7 is a schematic diagram of a completed detonator, the blasting circuit of the present system employs an electronic detonator, and the delay between holes and between segments is in milliseconds, resulting in a delay time for each hole.
So far, the whole tunnel blasting design is completed. The method can guide subsequent construction in the form of a chart output by the system, can also directly input design parameters into the intelligent rock drilling trolley and the mechanized chemical loading equipment, guide subsequent automatic drilling and chemical loading operation, and realize intelligent blasting construction of tunnels.
S6, monitoring blasting vibration in the blasting process, and performing blasting effect parameters such as: counting the footage rate, the half porosity, the large block rate, the super-undermining value and the like, feeding back the collected blasting effect parameters and vibration monitoring results to the system and carrying out evaluation, and when the expected targets are not met, realizing intelligent optimization of blasting design parameters by utilizing an intelligent optimization algorithm.
FIG. 8 is a diagram of an intelligent optimization method and process for blasting design parameters, based on multi-element geological parameter information, blasting design related parameter information, blasting effect parameter information and vibration monitoring parameter information, an intelligent blasting design parameter optimization information sample database is constructed, nonlinear mapping relations among blasting design parameters, geological parameters, blasting effect parameters and vibration monitoring parameters are found out through an artificial intelligent algorithm, an intelligent blasting design parameter optimization model is established, and intelligent blasting design parameter optimization is developed according to the intelligent blasting design parameter optimization model.
The system can generate various data reports according to the needs at regular intervals, such as the consumption of initiating explosive devices per cycle, the number of drilling holes, the total delay of drilling holes, the utilization rate of blast holes, the specific consumption of comprehensive explosives and the like, and is used for construction management and engineering data statistics.
The above description is only one of the embodiments of the present invention, and is not intended to limit the invention in any way, and any person skilled in the art may make modifications or alterations to the equivalent embodiments using the technical disclosure described above. However, any simple modification, equivalent variation and variation of the above embodiments according to the technical substance of the present invention still fall within the protection scope of the technical solution of the present invention.
Claims (8)
1. The intelligent tunnel blasting design system based on the multi-element geological information is characterized by being capable of realizing a design method as follows, and the design method comprises the following steps:
s1, acquiring multi-element geological information of surrounding rock of a tunnel face and performing surrounding rock blasting fine partition by utilizing an image processing and intelligent analysis method based on the surrounding rock image of the tunnel face; the surrounding rock multi-element geological information comprises: surrounding rock lithology, weathering degree, rock hardness degree, structural plane parameters, rock integrity degree, and main weak structural plane appearance;
the intelligent image analysis method of the geological information of the surrounding rock lithology, the weathering degree and the rock hardness degree utilizes an image processing technology to acquire the characteristic value of the surrounding rock image color parameter of the face, constructs a surrounding rock image sample information database, finds out the nonlinear mapping relation between the characteristic value of the surrounding rock image color parameter and the surrounding rock lithology, the weathering degree and the rock hardness degree parameters through an artificial intelligent algorithm, establishes a corresponding intelligent surrounding rock geological information judgment model, and accordingly develops intelligent judgment and analysis of related information;
the intelligent image analysis method of the structural plane parameters, the rock mass integrity degree and the main weak structural plane occurrence geological information is characterized in that surrounding rock images are used as the basis, surrounding rock structural plane trace information is obtained by utilizing an image processing technology, and parameter characteristic values such as the structural plane parameters, the rock mass integrity degree and the main weak structural plane occurrence are automatically obtained through the structural plane trace coordinate information;
based on the acquired surrounding rock multi-element geological information, the geological information with the same attribute is automatically classified, so that the blasting fine partition of the surrounding rock of the face is realized;
s2, combining the blasting fine partition of surrounding rock of the tunnel face, and determining the optimal cyclic footage, the specific explosive consumption of each region and the layout position of the cut hole by utilizing embedded design parameters and intelligent algorithms;
s3, utilizing embedded design parameters and intelligent algorithm to further complete the design of blasting parameters of peripheral holes, cut holes and other holes in sequence;
s4, determining the maximum single-stage detonating explosive quantity according to the maximum allowable vibration speed of the surrounding environment;
s5, determining the detonation sequence and the delay time difference by utilizing embedded design parameters and an intelligent algorithm, and further completing the design of the detonation circuit;
s6, implementing blasting according to the blasting design parameters, monitoring blasting vibration in the blasting process, feeding back blasting effect parameters and vibration monitoring results to the system after blasting, and realizing intelligent optimization of the blasting design parameters by using an intelligent algorithm;
the intelligent optimization method for the blasting design parameters is characterized by constructing an intelligent optimization information sample database for the blasting design parameters based on multi-element geological parameter information, blasting design related parameter information, blasting effect parameter information and vibration monitoring parameter information, searching nonlinear mapping relations among the blasting design parameters, the geological parameters, the blasting effect parameters and the vibration monitoring parameters through an artificial intelligent algorithm, and constructing an intelligent optimization model for the blasting design parameters, so that intelligent optimization of the blasting design parameters is developed.
2. The intelligent tunnel blasting design system based on multi-element geological information according to claim 1, wherein the arrangement position of the cut hole is determined according to blasting fine partition and vibration control requirements, so that the cut area is located in a homogeneous rock body, the cut effect is guaranteed, and meanwhile, the cut area is far away from a protected construction.
3. The intelligent blasting design system for the tunnel based on the multi-element geological information according to claim 1, wherein the blasting parameter design of the cut holes, the peripheral holes and other holes comprises the design of the number of drilled holes, the distance, the row spacing, the angle, the depth, the single-hole loading quantity and the loading structure, and the design result is output in the form of a table and a three-dimensional image.
4. The intelligent tunnel blasting design system based on multi-element geological information according to claim 1, wherein the single-stage maximum blasting explosive amount is calculated and determined according to the surrounding environment or the maximum allowable vibration speed of the protected construction, and hole-by-hole blasting or multi-hole simultaneous blasting is adopted.
5. The intelligent blasting design system of the tunnel based on the multiple geological information according to claim 1, wherein the priming circuit is an electronic detonator priming circuit, the inter-hole and inter-segment delays are measured in milliseconds, and the design result is output in the form of a table and a two-dimensional image.
6. The intelligent blasting design system based on multiple geological information according to claim 1, wherein the embedded design parameters and intelligent optimization algorithm adopted by the design can be based on blasting effect parameters, and the intelligent blasting design system comprises: and feeding back the footage rate, the half porosity, the large block rate, the super-underexcavation value and the vibration monitoring result to intelligently optimize blasting parameters.
7. The intelligent tunnel blasting design system based on multi-element geological information according to claim 1, wherein the design system can be directly in butt joint with an intelligent rock drilling trolley and mechanical chemical loading equipment to realize data transmission and directly guide the construction of subsequent drilling and chemical loading procedures.
8. The intelligent blasting design system for tunnels based on multiple geological information according to claim 1, wherein the design system can generate various data reports according to need, comprising: the consumption of initiating explosive devices, the number of drilling holes, the total linear meter of drilling holes, the utilization rate of blast holes and the specific consumption of comprehensive explosives are used for construction management and engineering data statistics.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200240268A1 (en) * | 2019-01-24 | 2020-07-30 | Huaneng Tibet Yarlungzangbo River Hydropower Development Investment Co., Ltd. | Tunnel boring robot and remote mobile terminal command system |
| CN114076552A (en) * | 2021-07-16 | 2022-02-22 | 中交一公局集团有限公司 | Intelligent blasting method and system for tunnel |
| CN116971785A (en) * | 2023-07-06 | 2023-10-31 | 江汉大学 | Method for arranging blastholes according to drilling parameters of tunnel rock drill |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200240268A1 (en) * | 2019-01-24 | 2020-07-30 | Huaneng Tibet Yarlungzangbo River Hydropower Development Investment Co., Ltd. | Tunnel boring robot and remote mobile terminal command system |
| CN114076552A (en) * | 2021-07-16 | 2022-02-22 | 中交一公局集团有限公司 | Intelligent blasting method and system for tunnel |
| CN116971785A (en) * | 2023-07-06 | 2023-10-31 | 江汉大学 | Method for arranging blastholes according to drilling parameters of tunnel rock drill |
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