CN114002413A - Intelligent monitoring method for concrete cut-off wall construction process - Google Patents
Intelligent monitoring method for concrete cut-off wall construction process Download PDFInfo
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- CN114002413A CN114002413A CN202111121812.8A CN202111121812A CN114002413A CN 114002413 A CN114002413 A CN 114002413A CN 202111121812 A CN202111121812 A CN 202111121812A CN 114002413 A CN114002413 A CN 114002413A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims abstract description 22
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 238000013461 design Methods 0.000 claims abstract description 12
- 238000005516 engineering process Methods 0.000 claims abstract description 5
- 230000000630 rising effect Effects 0.000 claims description 5
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- 238000003908 quality control method Methods 0.000 description 3
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- 238000013507 mapping Methods 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
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- 239000011435 rock Substances 0.000 description 1
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- 239000010959 steel Substances 0.000 description 1
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/38—Concrete; ceramics; glass; bricks
- G01N33/383—Concrete, cement
Abstract
The invention discloses an intelligent monitoring method for the construction quality of an impervious wall, which mainly comprises the steps of scanning a plurality of sections of a groove body of the impervious wall based on a section detection principle after the groove of the impervious wall is formed, and carrying out three-dimensional modeling on each groove section of the impervious wall by adopting a three-dimensional modeling technology based on point cloud data obtained by scanning; based on the three-dimensional model of each groove section of the impervious wall, analyzing and early warning the body type of the groove body of the single-section impervious wall, analyzing and early warning the space lap joint state of the adjacent groove sections, and ensuring that the quality of the formed groove meets the design requirement; the concrete pipe lifting speed intelligent feedback model is established based on the flow sensor and combined with the groove section three-dimensional model, intelligent early warning is carried out on the top concrete initial setting time and the concrete pouring interruption time, intelligent feedback control in the concrete pouring process is achieved, and the concrete pouring process is guaranteed to meet design requirements. The invention can realize intelligent analysis and control of the concrete diaphragm wall grooving body type and the concrete pouring process.
Description
Technical Field
The invention belongs to the technical field of concrete cut-off wall construction, and particularly relates to an intelligent monitoring method for a concrete cut-off wall construction process.
Background
The concrete impervious wall is an important means for foundation treatment of the current water conservancy and hydropower engineering, and is an important measure for engineering seepage prevention particularly when a dam is built on a deep covering layer. At present, the impervious wall of each project reaches more than 100 meters, for example, the impervious wall of a lateral multi-junction hydropower station reaches 158.5m, the impervious wall depth of a Huangjin terrace hydropower station reaches 129.5m and the like. The construction quality of the impervious wall is directly related to the operation safety and the engineering benefit of the engineering, however, the construction of the impervious wall belongs to hidden engineering and is difficult to control the construction process by adopting an intuitive means. At present, the construction quality of the concrete impervious wall mainly depends on manual control of key parameters through experience, and the control is carried out by combining drilling coring detection or various nondestructive detection modes after the construction of the impervious wall is finished. However, the above method has the following drawbacks: (1) due to complex geological conditions, the cut-off wall groove body is difficult to generate strictly according to the design state, and adverse phenomena such as hole collapse and the like are easy to generate, the method is difficult to analyze the cut-off wall groove forming quality, so that the body form and the cut-off effect of the cut-off wall after pouring are influenced; (2) the concrete pouring speed and the pipe pulling speed are mainly controlled according to construction experience, the problems of mud clamping, cold joint and the like are easily caused, and the pouring speed is difficult to accurately control. Therefore, it is necessary to research an intelligent monitoring method for a concrete diaphragm wall construction process integrating intelligent and dynamic feedback to realize the in-situ analysis and feedback control of the concrete diaphragm wall construction process, which is very important to ensure the diaphragm wall construction quality, improve the first-time qualification rate of the diaphragm wall construction quality, improve the concrete diaphragm wall construction efficiency and ensure the seepage safety of the hydraulic and hydroelectric engineering.
At present, the construction quality of the concrete impervious wall is mainly controlled in the process of combining design indexes, aiming at partial parameters, and concrete type selection and pouring process control method research is carried out aiming at the concrete pouring process of the impervious wall so as to prevent the problem of initial setting of the top surface of concrete; analyzing the control key points and important construction quality control measures of the plastic impervious wall in the construction process; the construction method of the ultra-deep cut-off wall is provided, the grooving process, the hole cleaning process and the concrete pouring process are discussed in detail, and cut-off wall construction in a deep covering layer with the deepest depth of more than 180 meters is realized; the construction experience of the steel wire rope grab bucket grooving method for the engineering of the diaphragm wall of the hydraulic engineering in the Tibet high-altitude area with extremely complicated geological conditions is summarized. However, the above measures are mainly to design the body type of the concrete cut-off wall and to control the construction process by combining the construction experience, and no research has been made on intelligent analysis and feedback control of the actual construction state of the concrete cut-off wall.
Aiming at the detection research of the construction quality of the concrete impervious wall, the device and the method for detecting the positions of the defects of the impervious wall can realize the accurate judgment and the accurate positioning of the defects of the impervious wall; a seepage detection structure suitable for an ultra-high earth-rock dam impervious wall can realize seepage state detection of a covering layer and the impervious wall structure arranged in the covering layer; the CT nondestructive detection technology is adopted to realize the construction quality detection and analysis of the front plateau reservoir diaphragm wall; the determination of the bottom boundary of the impervious wall is realized by adopting a dynamic high-density apparent resistivity method; the earthquake wave CT is adopted to realize the construction quality detection of the impervious wall; the application effect of several nondestructive detection technologies such as geological radar, ultrasonic television, video television, high-density elastic wave CT and the like in the detection of the quality of the impervious wall is proved that the construction quality of the impervious wall is difficult to comprehensively and quantitatively analyze by the methods; carrying out cross-hole ultrasonic detection by using a perforation hole of the impervious wall on the basis of carrying out general detection by using a comprehensive geophysical prospecting method (comprising a high-density seismic imaging method, a ground penetrating radar method and a high-density resistivity method); the method for nondestructive detection of the diaphragm wall structure based on the vibration theory realizes construction quality detection of the diaphragm wall of the yellow river levee through combination of field test and numerical simulation; the ground penetrating radar is used for detecting the quality of the plastic concrete impervious wall, and a new way is opened for nondestructive testing of the impervious wall; the method is applied to the nondestructive detection of the quality of the impervious wall by using a ground penetrating radar, a high-density resistivity method, a seismic mapping method and a Rayleigh wave method, and the applicable environments of various methods are obtained by analyzing. However, the above researches mainly detect the concrete diaphragm wall after the construction is completed, so that the real-time feedback of the construction quality is difficult to realize, and the analysis effect of the construction quality is reduced.
In summary, for the construction quality control of the diaphragm wall of the hydraulic and hydroelectric engineering, on one hand, construction experience and design body type are combined in the construction process to control the construction process, on the other hand, after the construction is completed, various means combining lossless detection and coring detection are adopted to analyze the construction quality afterwards, the research of intelligent analysis and feedback control of the construction process in the diaphragm wall construction process is not available, the control in the diaphragm wall construction process is difficult to realize, and the construction quality control effect is reduced.
Disclosure of Invention
The invention aims to: aiming at the defects of the prior art, the intelligent monitoring method for the construction process of the concrete impervious wall is provided, the groove forming body type and the intelligent analysis and control in the concrete pouring process of the concrete impervious wall are realized, and the comprehensive control of the construction quality of the concrete impervious wall is ensured.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent monitoring method for a concrete cut-off wall construction process comprises the steps of firstly, after a certain cut-off wall section is grooved, carrying out multi-section detection, combining depth information to obtain point cloud models of all sections, and establishing a three-dimensional model of a single groove section of the concrete cut-off wall by adopting a three-dimensional modeling technology; step two, analyzing the forming state of the single concrete impervious wall groove section to obtain the inclination angle, the minimum thickness, the minimum depth, the average thickness and the average depth of the impervious wall based on the three-dimensional model of the single concrete impervious wall groove section, and intelligently early warning aiming at indexes which do not meet the design requirements to remind the site of reforming; analyzing the groove lapping state of the concrete impervious wall of the adjacent groove sections, analyzing to obtain the lapping length and thickness of the adjacent groove sections based on the three-dimensional model of the groove sections of the adjacent concrete impervious wall, and intelligently early warning the indexes which do not meet the design requirements to remind the site of rectification; step four, in the concrete pouring process, installing a flow sensor outside a pouring pipeline, sensing the concrete pouring flow in real time, combining a pouring groove section three-dimensional model, carrying out intelligent analysis on the concrete pouring elevation and the rising speed, establishing a concrete conduit rising speed intelligent feedback model, and reminding the concrete conduit to rise in real time; and fifthly, analyzing the top concrete pouring time in real time based on the concrete pouring flow sensed in real time, realizing analysis and feedback of the initial setting state of the top concrete, analyzing the concrete pouring interruption duration in real time, and performing real-time early warning.
Preferably, in the first step, a multi-section scanning mode is adopted to perform point cloud collection and groove section three-dimensional modeling.
Preferably, in the second step, a three-dimensional model is combined, a single groove segment grooving body type is analyzed in the matter, and feedback control is performed based on an analysis result.
Preferably, in the third step, the spatial lapping state of the adjacent groove sections is subjected to in-process analysis, and feedback control is performed based on the analysis result, so that the quality of the lapping part is ensured to meet the requirement.
Preferably, in the fourth step, a coordinated control model of the concrete pouring speed and the concrete guide pipe ascending speed is established.
Preferably, in the fifth step, early warning feedback is carried out on the initial setting state of the top concrete and the concrete pouring interruption time, so that no cold joint occurs in the concrete impervious wall.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention provides an intelligent monitoring method for the construction quality of a concrete cut-off wall, which is characterized in that after concrete is grooved, the grooving body type of the cut-off wall is subjected to three-dimensional modeling, analysis and feedback, so that the grooving reminding of the concrete cut-off wall of a single groove section and the lap joint state of the concrete cut-off walls of adjacent groove sections meet the requirements, and the in-situ control of the concrete cut-off wall body type is realized; in the concrete pouring process, the three-dimensional body type and the pouring flow are combined, the linkage analysis of the concrete guide pipe pulling-out speed and the concrete pouring speed is realized, intelligent early warning analysis is carried out aiming at the construction states such as the initial setting state of the top of concrete, the internal cold joint and the like, the adverse phenomena such as mud clamping, cold joint, top layer solidification and the like of the concrete impervious wall are prevented, and the concrete pouring quality is effectively ensured. The construction process intelligent management and control method can intelligently manage and control the construction process in the grooving and pouring stages of the concrete impervious wall, realize the in-situ analysis and feedback control of the construction process, solve the problems that the construction quality is difficult to visually analyze and the in-situ detection and analysis can not realize the real-time feedback in the traditional method, and realize the change of the construction quality of the concrete impervious wall from the in-situ control to the in-situ control.
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Features, advantages and technical effects of exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of the present invention.
Detailed Description
As used in the specification and in the claims, certain terms are used to refer to particular components. As one skilled in the art will appreciate, manufacturers may refer to a component by different names. This specification and claims do not intend to distinguish between components that differ in name but not function. In the following description and in the claims, the terms "include" and "comprise" are used in an open-ended fashion, and thus should be interpreted to mean "include, but not limited to. "substantially" means within an acceptable error range, and a person skilled in the art can solve the technical problem within a certain error range to substantially achieve the technical effect.
Furthermore, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The present invention will be described in further detail with reference to fig. 1, but the present invention is not limited thereto.
Fig. 1 is an implementation flow of the intelligent monitoring method for the construction process of the concrete impervious wall, which mainly controls the grooving stage and the pouring stage of the concrete impervious wall, and the method comprises the following specific steps:
the method comprises the following steps: and (3) carrying out point cloud collection on the section of the groove section formed after the groove is formed on the single concrete impervious wall by adopting a section scanning sensor to obtain each point cloud coordinate E (I, X and D), wherein I is the section pile number, X is the distance from the design center line, and D is the depth of a sampling point.
Step two: and establishing a three-dimensional model of the single concrete impervious wall grooving body type based on the point cloud coordinate E.
Step three: according to the three-dimensional model of the single concrete impervious wall grooving body type, the maximum dip angle theta between each section of the three-dimensional model and the vertical direction is establishedmaxMinimum thickness L between upstream and downstreamminAnd an average thickness LaveMinimum depth DminAnd average depth DaveAnd carrying out deviation analysis and early warning with the design index, reminding the index and the position which do not meet the design requirement, feeding back the index and the position to correct the deviation in time on site, and ensuring that the concrete meets the requirement of the body type before pouring. The calculation method of each index is as follows:
Lmin＝min((Xu-Xd)DI) (2)
Lave＝average((Xu-Xd)DI) (3)
Dmin＝min(D) (4)
Dave＝average(D) (5)
Step four: and (3) analyzing to obtain the lap joint volume, thickness and length of the space of the adjacent groove sections according to the three-dimensional model of the adjacent concrete diaphragm wall grooving body type, and if the indexes do not meet the requirements, early warning is timely carried out to remind a site to correct the deviation timely, so that the lap joint requirement is met before concrete pouring.
Step five: a flow sensor is arranged on the concrete pouring guide pipe to sense the concrete pouring flow V in real timecCombining the three-dimensional model of the single concrete diaphragm wall grooving body type to obtain the area S of each elevation section, thereby obtaining the rising speed V of the concrete surfacesAnd remind the concrete guide pipe to lift in real time, and the concrete lifting speed VsThe calculation method is as follows:
Vs＝Vc/S (6)
step six: according to the concrete pouring starting time, analyzing the current top concrete pouring time T in real timetopAnd concrete pouring interruption time TstopAnd early warning is carried out when the initial setting time is about to be reached.
Preferably, in the first step, a multi-section scanning mode is adopted to carry out point cloud collection and groove section three-dimensional modeling.
Preferably, in the second step, the three-dimensional model is combined, the in-process analysis is carried out on the single groove section grooving body type, the feedback control is carried out on the basis of the analysis result, and the single groove section grooving quality is ensured to meet the requirement.
Preferably, in the third step, the spatial lapping state of the adjacent groove sections is analyzed in the matter, and feedback control is performed based on the analysis result, so that the quality of the lapping part is ensured to meet the requirement.
Preferably, in the fourth step, a coordinated control model of the concrete pouring speed and the concrete guide pipe ascending speed is established, so that the guide pipe is ascended as soon as possible under the condition that the concrete impervious wall is prevented from being clamped with mud, and the pouring speed and the pouring quality are ensured.
Preferably, in the fifth step, early warning feedback is carried out on the initial setting state of the top concrete and the concrete pouring interruption time, so that no cold joint occurs in the concrete impervious wall.
Variations and modifications to the above-described embodiments may also occur to those skilled in the art, which fall within the scope of the invention as disclosed and taught herein. Therefore, the present invention is not limited to the above-mentioned embodiments, and any obvious improvement, replacement or modification made by those skilled in the art based on the present invention is within the protection scope of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (6)
1. An intelligent monitoring method for a concrete impervious wall construction process is characterized by comprising the following steps:
step one, after a certain impervious wall section is grooved, carrying out multi-section detection, combining depth information to obtain point cloud models of all sections, and establishing a three-dimensional model of a single groove section of the concrete impervious wall by adopting a three-dimensional modeling technology;
step two, analyzing the forming state of the single concrete impervious wall groove section to obtain the inclination angle, the minimum thickness, the minimum depth, the average thickness and the average depth of the impervious wall based on the three-dimensional model of the single concrete impervious wall groove section, and intelligently early warning aiming at indexes which do not meet the design requirements to remind the site of reforming;
analyzing the groove lapping state of the concrete impervious wall of the adjacent groove sections, analyzing to obtain the lapping length and thickness of the adjacent groove sections based on the three-dimensional model of the groove sections of the adjacent concrete impervious wall, and intelligently early warning the indexes which do not meet the design requirements to remind the site of rectification;
step four, in the concrete pouring process, installing a flow sensor outside a pouring pipeline, sensing the concrete pouring flow in real time, combining a pouring groove section three-dimensional model, carrying out intelligent analysis on the concrete pouring elevation and the rising speed, establishing a concrete conduit rising speed intelligent feedback model, and reminding the concrete conduit to rise in real time;
and fifthly, analyzing the top concrete pouring time in real time based on the concrete pouring flow sensed in real time, realizing analysis and feedback of the initial setting state of the top concrete, analyzing the concrete pouring interruption duration in real time, and performing real-time early warning.
2. The intelligent monitoring method for the construction process of the concrete impervious wall as claimed in claim 1, wherein: in the first step, a multi-section scanning mode is adopted for point cloud collection and three-dimensional modeling of the groove section.
3. The intelligent monitoring method for the construction process of the concrete impervious wall as claimed in claim 1, wherein: and in the second step, combining the three-dimensional model, performing in-situ analysis on the single groove section grooving body type, and performing feedback control based on an analysis result.
4. The intelligent monitoring method for the construction process of the concrete impervious wall as claimed in claim 1, wherein: and in the third step, performing event analysis on the spatial lapping state of the adjacent groove sections, and performing feedback control based on an analysis result.
5. The intelligent monitoring method for the construction process of the concrete impervious wall as claimed in claim 1, wherein: and in the fourth step, establishing a coordinated control model of the concrete pouring speed and the concrete guide pipe ascending speed.
6. The intelligent monitoring method for the construction process of the concrete impervious wall as claimed in claim 1, wherein: and fifthly, early warning feedback is carried out on the initial setting state of the top concrete and the concrete pouring interruption time.
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- 2021-09-24 CN CN202111121812.8A patent/CN114002413A/en active Pending
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