Rock-fill concrete pouring liquid level and compactness monitoring and evaluating method

Abstract

The invention discloses a rock-fill concrete pouring liquid level and compactness monitoring and evaluating method, and relates to the technical field of concrete construction. According to the invention, the compactness sensing probes are uniformly distributed in the warehouse, so that the whole warehouse surface can be comprehensively monitored. The probes are wrapped by high-strength and high-toughness materials, it is ensured that the probes cannot be damaged in the construction process, a three-dimensional Thiessen polygon method is adopted for segmenting the areas in the bin, each compactness sensing probe corresponds to one associated area, the segmentation method can adapt to irregular polygon boundaries, it is ensured that only one representative measuring point exists in each area, and the accuracy of the detection result is improved. Whether the probes are buried by the concrete or densely filled can be judged in real time through the numerical value change of the compactness sensing probes, and the liquid level position of the self-compacting concrete can be calculated according to the states of all the probes.

Description

Technical Field

[0001] This invention relates to the field of concrete construction technology, specifically to a method for monitoring and evaluating the level and compactness of poured riprap concrete. Background Technology

[0002] Rockfill concrete dam construction technology has been widely applied both domestically and internationally. Rockfill concrete breaks through the constraints of traditional continuous gradation compaction theory by using large-block rockfill stacking and self-compacting concrete pouring and bonding, achieving concrete pouring with aggregate sizes ranging from 6 to 7 gradations or even larger.

[0003] As can be seen from the construction process of riprap concrete, the pouring of self-compacting concrete is directly related to the construction quality of riprap concrete. Improper pouring can easily lead to the formation of a large number of cavities inside the riprap structure and a large number of construction cold joints inside the concrete. This will result in a significant deterioration of the dam structure's impermeability and strength performance, thereby affecting the safe and stable operation of the dam.

[0004] However, due to the obstruction of the riprap inside the silo, the flow process of self-compacting concrete within the riprap voids cannot be observed with the naked eye, making it difficult to grasp the changes in concrete level and the compaction of the filling. Furthermore, there is a lack of simple and effective methods for evaluating the pouring quality of already poured sections. Core sampling and silo surface cutting are slow and costly, making the monitoring and evaluation of the pouring level and quality inside the silo a major pain point and challenge in the project.

[0005] Chinese patent CN202310704636.3 provides a device and method for detecting the density of internal filling of riprap concrete structures, but it can only perform post-construction evaluation and remediation, and cannot determine in real time whether the riprap concrete has not yet been poured or has been poured but is not dense during the pouring process.

[0006] Chinese patent CN202411798990.8 provides a method for real-time monitoring of the pouring trajectory of riprap concrete, but it mainly focuses on monitoring the pouring point at the discharge port of the concrete placing boom. Currently, there is a lack of methods for estimating the pouring progress (liquid level) of self-compacting concrete inside the riprap structure, a rapid feedback alarm method for risks in filling quality, and a comprehensive evaluation method for the pouring quality of the slab surface.

[0007] Therefore, a monitoring and evaluation method for the liquid level and compactness of rockfill concrete pouring is proposed. This method focuses on solving problems such as rapid estimation of pouring progress (liquid level), real-time alarm for insufficient compaction and excessive pouring intervals, overall evaluation of pouring quality, and location of problem areas. It provides feedback and guidance for on-site pouring operations, improves pouring quality, and provides technical support and guarantee for the construction quality of rockfill concrete dams. Summary of the Invention

[0008] The purpose of this invention is to provide a method for monitoring and evaluating the level and compactness of riprap concrete pouring, so as to solve the technical problems mentioned in the background art.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a method for monitoring and evaluating the liquid level and compactness of riprap concrete pouring, comprising at least the following steps:

[0010] S1: During the process of loading boulders into the silo, install compaction monitoring devices and compaction sensing probes inside the silo, and record the location of all compaction sensing probes.

[0011] S2: Based on the geometric boundaries of the construction site and the placement of the compaction sensor probes, the area inside the site is divided so that each compaction sensor probe corresponds to an associated area.

[0012] S3: During the self-compacting concrete pouring process, the probe and its corresponding associated area are calculated in real time to determine whether they are buried or filled with concrete by the change in the value of the compaction sensing probe.

[0013] S4: After the pouring is completed, the pouring quality of the entire slab surface is evaluated and analyzed based on the monitoring results of the compaction monitoring device and the compaction sensing probe. Areas that are still at risk of not being poured densely or having cold joints are located and feedback is provided to remind and guide the on-site construction personnel to take remedial measures.

[0014] Furthermore, the real-time computation in S3 includes at least the following cases:

[0015] Based on the burial and compaction status of all compaction sensing probes in the chamber, the liquid level position of the self-compacting concrete in the chamber is calculated in real time.

[0016] Based on the position of the self-compacting concrete liquid surface and the compaction status of the compaction sensor, it can determine in real time whether there are any uncompacted points. When an uncompacted point is found, an alarm will be pushed out in time, and the location of the uncompacted point will be given to remind and guide the on-site construction personnel to make adjustments.

[0017] Based on the burial sequence and time interval of the compaction sensor probes, it can determine in real time whether there is a problem of untimely coverage of self-compacting concrete; when the time interval for covering concrete at a certain location in the silo exceeds a certain threshold, an alarm will be promptly pushed out, indicating the location of the excessively long pouring interval, and reminding and guiding on-site construction personnel to take corresponding measures.

[0018] Furthermore, the compactness monitoring device is installed inside the warehouse surface and is connected to the compactness sensing probe via a quick-connect cable;

[0019] The density sensing probe uses a capacitive electrode, which relies on the dielectric constant between the left and right electrode plates to determine whether concrete has flowed in and whether the filling is dense.

[0020] The compactness sensing probe is wrapped with a high-strength and high-toughness material, while retaining a contact channel between the compactness sensing probe and the external concrete; the quick-connect cable is wrapped with a metal bend.

[0021] The density sensing probe should be placed inside the gaps of the rockfill structure and arranged evenly.

[0022] After measuring the placement locations of the compaction sensing probes, they were secured and compacted using surrounding stones, and all data was recorded. ,in, ;

[0023] The number and location of the density sensing probes should be calculated based on the geometric dimensions of the storage area.

[0024]

[0025] In the formula: This represents the total number of dense sensing probes deployed. , and These represent the number of units deployed along the long side, short side, and elevation of the storage area, respectively; RD() is an approximate floor function, and γ is the ratio of the long side L to the short side W of the storage area. The number of single-layer installations on a horizontal plane can be calculated using the following formula:

[0026]

[0027] In the formula, This is the planar area of ​​the warehouse surface on the horizontal plane.

[0028] Furthermore, the division of the warehouse area is calculated using the three-dimensional Thiessen polygon method;

[0029] Using the geometric boundary of the warehouse surface as the domain to be segmented, and the placement positions of the compactness sensing probes within the warehouse... Using seed points, the warehouse surface is divided:

[0030] by Using seed points, an incremental algorithm is employed to partition the segmentation domain into closely packed tetrahedrons, ensuring that the circumsphere of each tetrahedron does not contain other vertices;

[0031] Subsequently, the perpendicular bisector of each pair of adjacent seed points is calculated, and a convex polyhedron containing the seed point is constructed based on the perpendicular bisector associated with each seed point. The resulting convex polyhedron corresponds one-to-one with the seed point.

[0032] Finally, the segmentation regions corresponding one-to-one with the density sensing probes are obtained. .

[0033] Furthermore, determining the liquid level position of the self-compacting concrete within the solution chamber includes at least the following steps:

[0034] First, determine the deployment location of each density sensing probe. Buried state With dense state The data set;

[0035]

[0036] In the formula: The value can be 0 or 1, representing the two states of not buried and buried respectively; for The moment when the last change from 0 to 1;

[0037]

[0038] In the formula: The value can be 0 or 1, representing two states: loose pouring and tight pouring. for The moment when it last changed from 0 to 1;

[0039] Finally, based on the buried state data set Find all The set of partitioned domains; the upper surface of the aforementioned set of partitioned domains is the current liquid level position of the self-compacting concrete in the silo.

[0040] Furthermore, determining whether there are any points where the concrete is not properly compacted includes at least the following steps:

[0041] First, the deployment location of each density sensing probe is obtained. Buried state With dense state Data set and liquid level position;

[0042] Finally, traverse all the dense sensing probes, considering the placement of the dense sensing probes... Below the liquid level of self-compacting concrete and in its submerged state or dense state When that happens, the segmentation region is determined. If there is a problem with the pouring process, such as blockage or insufficient compaction, an alarm for blockage or insufficient compaction will be triggered.

[0043] Furthermore, determining whether there is untimely covering of self-compacting concrete includes at least the following steps:

[0044] First, the deployment location of each density sensing probe is obtained. Buried state Data set and liquid level position;

[0045] Then, iterate through all the dense sensing probes, and check the burial state parameters of the dense sensing probes. And the corresponding segmentation domain There are unburied segmentation regions in the adjacent segmentation regions. Calculate the pouring interval. :

[0046]

[0047] In the formula, T represents the current time;

[0048] Finally, the judgment Is it greater than the pouring interval threshold? ,when If the pouring interval is too long, an alarm will be triggered, and the segmentation area will be recorded. and Intersecting surfaces Area of ​​intersecting surfaces and the location of its center of mass Among them, the pouring interval threshold It is usually taken as the initial setting time of the self-compacting concrete used.

[0049] Furthermore, in S4, after the surface pouring is completed, the placement location of each compaction sensor is obtained. Corresponding segmentation domain Buried state With dense state The set of data and the set of intersection surfaces recorded by the alarm for exceeding the pouring interval threshold ;

[0050] Based on the burial status of all dense sensing probes Dense state With partitioning domain Calculate the cumulative volume percentage of the non-dense region. :

[0051]

[0052] In the formula, The total volume of the warehouse surface. The percentage of stones piled up inside the warehouse. For the first in the warehouse A non-dense partition region Volume;

[0053] Based on the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. Calculate the potential cold joint area ratio :

[0054]

[0055] In the formula, Let be the planar area of ​​the warehouse surface on the horizontal plane. This is the sum of the areas of all intersecting surfaces where the pouring interval exceeds the threshold.

[0056] when Exceeding the threshold or Exceeding the threshold At that time, it was determined that the pouring quality of the silo was substandard.

[0057] Furthermore, the buried state Unburied location and dense state The location where the concrete is not compacted is Corresponding segmentation domain The location of potential construction cold joints is the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. .

[0058] Compared with the prior art, the beneficial effects of the present invention are:

[0059] 1. Deployment of density sensing probes: By evenly distributing density sensing probes within the silo, comprehensive monitoring of the entire silo surface can be achieved. The probes are encased in high-strength, high-toughness materials to ensure they are not damaged during construction.

[0060] 2. In-warehouse area segmentation: The three-dimensional Thiessen polygon method is used to segment the in-warehouse area, so that each dense sensing probe corresponds to an associated area. This segmentation method can adapt to irregular polygonal boundaries and ensure that there is only one representative measuring point in each area.

[0061] 3. Real-time monitoring and calculation: By monitoring the changes in the density sensing probe values, it is possible to determine in real time whether the probe is buried in concrete or completely filled with it. Based on the status of all probes, the liquid level position of the self-compacted concrete can be calculated.

[0062] 4. Problem identification and alarm: When a point of insufficient compaction is found or the interval between pours is too long, the system will promptly send an alarm to remind on-site construction personnel to take appropriate measures.

[0063] 5. Evaluation of pouring quality: The pouring quality of the entire slab surface can be evaluated by calculating the cumulative volume ratio of the non-compacted area and the potential cold joint area ratio.

[0064] 6. Through the combination of the above-mentioned technical features, the present invention can realize real-time monitoring of the riprap concrete pouring process, timely detection of problems, and overall quality assessment, thereby solving the core technical problem. Attached Figure Description

[0065] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a schematic diagram of the process of the present invention;

[0067] Figure 2 This is a schematic diagram of the entire invention;

[0068] Figure 3 This is a diagram illustrating the technical effects of the present invention. Detailed Implementation

[0069] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0070] A method for monitoring and evaluating the liquid level and compactness of riprap concrete pouring, comprising at least the following steps:

[0071] S1: During the process of loading boulders into the silo, install compaction monitoring devices and compaction sensing probes inside the silo, and record the location of all compaction sensing probes.

[0072] S2: Based on the geometric boundaries of the construction site and the placement of the compaction sensor probes, the area inside the site is divided so that each compaction sensor probe corresponds to an associated area.

[0073] S3: During the self-compacting concrete pouring process, the probe and its corresponding associated area are calculated in real time to determine whether they are buried or filled with concrete by the change in the value of the compaction sensing probe.

[0074] S4: After the pouring is completed, the pouring quality of the entire slab surface is evaluated and analyzed based on the monitoring results of the compaction monitoring device and the compaction sensing probe. Areas that are still at risk of not being poured densely or having cold joints are located and feedback is provided to remind and guide the on-site construction personnel to take remedial measures.

[0075] Real-time computing in S3 includes at least the following:

[0076] Based on the burial and compaction status of all compaction sensing probes in the chamber, the liquid level position of the self-compacting concrete in the chamber is calculated in real time.

[0077] Based on the position of the self-compacting concrete liquid surface and the compaction status of the compaction sensor, it can determine in real time whether there are any uncompacted points. When an uncompacted point is found, an alarm will be pushed out in time, and the location of the uncompacted point will be given to remind and guide the on-site construction personnel to make adjustments.

[0078] Based on the burial sequence and time interval of the compaction sensor probes, it can determine in real time whether there is a problem of untimely coverage of self-compacting concrete; when the time interval for covering concrete at a certain location in the silo exceeds a certain threshold, an alarm will be promptly pushed out, indicating the location of the excessively long pouring interval, and reminding and guiding on-site construction personnel to take corresponding measures.

[0079] The compactness monitoring device is installed inside the warehouse surface and is connected to the compactness sensing probe via a quick-connect cable;

[0080] The compactness sensing probe uses capacitive electrodes, which rely on the dielectric constant between the left and right electrode plates to determine whether concrete has flowed in and whether the filling is compacted. In different embodiments, it can take different forms.

[0081] The compaction sensor is encased in a high-strength, high-toughness material, preferably a lightweight, high-strength, impact-resistant shockproof rubber or alloy material, while maintaining a contact channel between the compaction sensor and the external concrete. The quick-connect cable is encased in a metal bend. This protects the compaction sensor and the power and communication lines from damage caused by impacts from rocks during construction.

[0082] The compaction sensing probes should be placed inside the gaps of the riprap structure, and arranged evenly throughout.

[0083] After measuring the placement locations of the compaction sensing probes, they were secured and compacted using surrounding stones, and all data was recorded. ,in, ;

[0084] The number and location of the compaction sensing probes should be calculated based on the geometric dimensions of the storage area.

[0085]

[0086] In the formula: This represents the total number of dense sensing probes deployed. , and These represent the number of units deployed along the long side, short side, and elevation of the storage area, respectively; RD() is an approximate floor function, and γ is the ratio of the long side L to the short side W of the storage area. The number of single-layer installations on a horizontal plane can be calculated using the following formula:

[0087]

[0088] In the formula, This is the planar area of ​​the warehouse surface on the horizontal plane.

[0089] The internal area division of the warehouse was calculated using the three-dimensional Thiessen polygon method;

[0090] Using the geometric boundary of the warehouse surface as the domain to be segmented, and the placement positions of the compactness sensing probes within the warehouse... Using seed points, the warehouse surface is divided:

[0091] by Using seed points, an incremental algorithm is employed to partition the segmentation domain into closely packed tetrahedrons, ensuring that the circumsphere of each tetrahedron does not contain other vertices;

[0092] Subsequently, the perpendicular bisector of each pair of adjacent seed points is calculated, and a convex polyhedron containing the seed point is constructed based on the perpendicular bisector associated with each seed point. The resulting convex polyhedron corresponds one-to-one with the seed point.

[0093] Finally, the segmentation regions corresponding one-to-one with the density sensing probes are obtained. .

[0094] The Thiessen polygon method was chosen for segmentation because it has several desirable properties: (1) each Thiessen polygon region contains only one discrete point, which can serve as a representative point for that region; (2) points within a Thiessen polygon region are closest to other discrete points; (3) points on the edges of a Thiessen polygon are equidistant from the discrete points on either side; and (4) it is suitable for segmenting irregular polygon boundaries. These advantages of Thiessen polygon segmentation align with the needs of warehouse area division.

[0095] It is worth mentioning that if the measuring points within the warehouse are arranged in an equally spaced matrix, then the Thiessen polygon segmentation result will be a uniformly distributed cuboid region of equal size, such as... Figure 3 As shown, this demonstrates that Thiessen polygon segmentation can be applied to both regular and irregular arrangements of measurement points, further illustrating its superiority in the application scenario of construction site area segmentation.

[0096] Calculating the liquid level of self-compacting concrete in the chamber includes at least the following steps:

[0097] First, determine the deployment location of each density sensing probe. Buried state With dense state The data set;

[0098]

[0099] In the formula: The value can be 0 or 1, representing the two states of not buried and buried respectively; for The moment when it last changed from 0 to 1;

[0100]

[0101] In the formula: The value can be 0 or 1, representing two states: loose pouring and tight pouring. for The moment when it last changed from 0 to 1;

[0102] Finally, based on the buried state data set Find all The set of partitioned domains; the upper surface of the aforementioned set of partitioned domains is the current liquid level position of the self-compacting concrete in the silo.

[0103] Determining whether there are any areas of insufficient compaction in the concrete pouring includes at least the following steps:

[0104] First, the deployment location of each density sensing probe is obtained. Buried state With dense state Data set and liquid level position;

[0105] Finally, traverse all the dense sensing probes, considering the placement of the dense sensing probes... Below the liquid level of self-compacting concrete and in its submerged state or dense state When that happens, the segmentation region is determined. If there is a problem with the pouring process, such as blockage or insufficient compaction, an alarm for blockage or insufficient compaction will be triggered.

[0106] Determining whether there is untimely covering of self-compacting concrete includes at least the following steps:

[0107] First, the deployment location of each density sensing probe is obtained. Buried state Data set and liquid level position;

[0108] Then, iterate through all the dense sensing probes, and check the burial state parameters of the dense sensing probes. And the corresponding segmentation domain There are unburied segmentation regions in the adjacent segmentation regions. Calculate the pouring interval. :

[0109]

[0110] In the formula, T represents the current time;

[0111] Finally, the judgment Is it greater than the pouring interval threshold? ,when If the pouring interval is too long, an alarm will be triggered, and the segmentation area will be recorded. and Intersecting surfaces Area of ​​intersecting surfaces and the location of its center of mass Among them, the pouring interval threshold It is usually taken as the initial setting time of the self-compacting concrete used.

[0112] In S4, after the surface pouring is completed, the placement location of each compaction sensor is obtained. Corresponding segmentation domain Buried state With dense state The set of data and the set of intersection surfaces recorded by the alarm for exceeding the pouring interval threshold ;

[0113] Based on the burial status of all dense sensing probes Dense state With partitioning domain Calculate the cumulative volume percentage of the non-dense region. :

[0114]

[0115] In the formula, The total volume of the warehouse surface. The percentage of stones piled up inside the warehouse. For the first in the warehouse A non-dense partition region Volume;

[0116] Based on the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. Calculate the potential cold joint area ratio :

[0117]

[0118] In the formula, Let be the planar area of ​​the warehouse surface on the horizontal plane. This is the sum of the areas of all intersecting surfaces where the pouring interval exceeds the threshold.

[0119] when Exceeding the threshold or Exceeding the threshold At that time, the pouring quality of the silo was deemed substandard. Threshold The preferred value is 0.02. The preferred value is 0.50.

[0120] Buried state Unburied location and dense state The location where the concrete is not compacted is Corresponding segmentation domain The location of potential construction cold joints is the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. The aforementioned information can provide guidance for subsequent quality inspection and grouting reinforcement of the warehouse surface.

[0121] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for monitoring and evaluating the liquid level and compactness of riprap concrete pouring, characterized in that: At least the following steps are included: S1: During the process of loading boulders into the silo, install compaction monitoring devices and compaction sensing probes inside the silo, and record the location of all compaction sensing probes. S2: Based on the geometric boundaries of the construction site and the placement of the compaction sensor probes, the area inside the site is divided so that each compaction sensor probe corresponds to an associated area. S3: During the self-compacting concrete pouring process, the probe and its corresponding associated area are calculated in real time to determine whether they are buried or filled with concrete by the change in the value of the compaction sensing probe. S4: After the pouring is completed, the pouring quality of the entire slab surface is evaluated and analyzed based on the monitoring results of the compaction monitoring device and the compaction sensing probe. Areas that are still at risk of not being poured densely or having cold joints are located and feedback is provided to remind and guide the on-site construction personnel to take remedial measures.

2. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 1, characterized in that: The real-time calculation in S3 includes at least the following cases: Based on the burial and compaction status of all compaction sensing probes in the chamber, the liquid level position of the self-compacting concrete in the chamber is calculated in real time. Based on the position of the self-compacting concrete liquid surface and the compaction status of the compaction sensor, it can determine in real time whether there are any uncompacted points. When an uncompacted point is found, an alarm will be pushed out in time, and the location of the uncompacted point will be given to remind and guide the on-site construction personnel to make adjustments. Based on the burial sequence and time interval of the compaction sensor probes, it can determine in real time whether there is a problem of untimely coverage of self-compacting concrete; when the time interval for covering concrete at a certain location in the silo exceeds a certain threshold, an alarm will be promptly pushed out, indicating the location of the excessively long pouring interval, and reminding and guiding on-site construction personnel to take corresponding measures.

3. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 1, characterized in that: The compactness monitoring device is installed inside the warehouse surface and is connected to the compactness sensing probe via a quick-connect cable; The density sensing probe uses a capacitive electrode, which relies on the dielectric constant between the left and right electrode plates to determine whether concrete has flowed in and whether the filling is dense. The compactness sensing probe is wrapped with a high-strength and high-toughness material, while retaining a contact channel between the compactness sensing probe and the external concrete; the quick-connect cable is wrapped with a metal bend. The density sensing probe should be placed inside the gaps of the rockfill structure and arranged evenly. After measuring the placement locations of the compaction sensing probes, they were secured and compacted using surrounding stones, and all data was recorded. ,in, ; The number and location of the density sensing probes should be calculated based on the geometric dimensions of the storage area. In the formula: This represents the total number of dense sensing probes deployed. , and These represent the number of units deployed along the long side, short side, and elevation of the storage area, respectively; RD() is an approximate floor function, and γ is the ratio of the long side L to the short side W of the storage area. The number of single-layer installations on a horizontal plane can be calculated using the following formula: In the formula, This is the planar area of ​​the warehouse surface on the horizontal plane.

4. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 1, characterized in that: The division of the warehouse area was calculated using the three-dimensional Thiessen polygon method; Using the geometric boundary of the warehouse surface as the domain to be segmented, and the placement positions of the compactness sensing probes within the warehouse... Using seed points, the warehouse surface is divided: by Using seed points, an incremental algorithm is employed to partition the segmentation domain into closely packed tetrahedrons, ensuring that the circumsphere of each tetrahedron does not contain other vertices; Subsequently, the perpendicular bisector of each pair of adjacent seed points is calculated, and a convex polyhedron containing the seed point is constructed based on the perpendicular bisector associated with each seed point. The resulting convex polyhedron corresponds one-to-one with the seed point. Finally, the segmentation regions corresponding one-to-one with the density sensing probes are obtained. .

5. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 2, characterized in that: The calculation of the liquid level position of the self-compacting concrete in the chamber includes at least the following steps: First, determine the deployment location of each density sensing probe. Buried state With dense state The data set; In the formula: The value can be 0 or 1, representing the two states of not buried and buried respectively; for The moment when the last change from 0 to 1; In the formula: The value can be 0 or 1, representing two states: loose pouring and tight pouring. for The moment when the last change from 0 to 1; Finally, based on the buried state data set Find all The set of partitioned domains; the upper surface of the aforementioned set of partitioned domains is the current liquid level position of the self-compacting concrete in the silo.

6. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 5, characterized in that: Determining whether there are any points where the concrete is not properly compacted includes at least the following steps: First, the deployment location of each density sensing probe is obtained. Buried state With dense state Data set and liquid level position; Finally, traverse all the dense sensing probes, considering the placement of the dense sensing probes... Below the liquid level of self-compacting concrete and in its submerged state or dense state When that happens, the segmentation region is determined. If there is a problem with the pouring process, such as blockage or insufficient compaction, an alarm for blockage or insufficient compaction will be triggered.

7. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 6, characterized in that: Determining whether there is untimely covering of self-compacting concrete includes at least the following steps: First, the deployment location of each density sensing probe is obtained. Buried state Data set and liquid level position; Then, iterate through all the dense sensing probes, and check the burial state parameters of the dense sensing probes. And the corresponding segmentation domain There are unburied segmentation regions in the adjacent segmentation regions. Calculate the pouring interval. : In the formula, T represents the current time; Finally, the judgment Is it greater than the pouring interval threshold? ,when If the pouring interval is too long, an alarm will be triggered, and the segmentation area will be recorded. and Intersecting surfaces Area of ​​intersecting surfaces and the location of its center of mass Among them, the pouring interval threshold It is usually taken as the initial setting time of the self-compacting concrete used.

8. The method for monitoring and evaluating the level and compactness of riprap concrete pouring according to claim 7, characterized in that: In S4, after the surface pouring is completed, the placement location of each compaction sensor is obtained. Corresponding segmentation domain Buried state With dense state The set of data and the set of intersection surfaces recorded by the alarm for exceeding the pouring interval threshold ; Based on the burial status of all dense sensing probes Dense state With partitioning domain Calculate the cumulative volume percentage of the non-dense region. : In the formula, The total volume of the warehouse surface. The percentage of stones piled up inside the warehouse. For the first in the warehouse A non-dense partition region Volume; Based on the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. Calculate the potential cold joint area ratio : In the formula, Let be the planar area of ​​the warehouse surface on the horizontal plane. This is the sum of the areas of all intersecting surfaces where the pouring interval exceeds the threshold. when Exceeding the threshold or Exceeding the threshold At that time, it was determined that the pouring quality of the silo was substandard.

9. The method for monitoring and evaluating the liquid level and compactness of riprap concrete pouring according to claim 8, characterized in that: The buried state Unburied location and dense state The location where the concrete is not compacted is Corresponding segmentation domain The location of potential construction cold joints is the set of intersecting surfaces recorded by the alarm for exceeding the pouring interval threshold. .

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