Quality control system for rockfill concrete warehousing rockfill

Abstract

The invention discloses a rock-fill concrete warehousing rock-fill quality control system, which comprises a flushing platform arranged on a foundation, the flushing platform comprises an inclined slope surface, and a weight sensor used for sensing the bearing weight of the flushing platform is arranged on the flushing platform; the water pump is arranged in the reservoir, water pumped from the reservoir reaches the flushing drain pipe through the water pipe, and the flushing drain pipe is arranged at the top opposite to the flushing platform; the spray head is communicated with the flushing drainage pipe and is positioned between the flushing drainage pipe and the flushing platform; the image acquisition device is arranged at the top and is at least used for acquiring image information of the carrying device; the water collecting and draining ditch is formed in a foundation below the bottom of the slope, the turbidity sensor is arranged at a water inlet of the water collecting and draining ditch, and the control terminal is electrically connected with the turbidity sensor, the image acquisition device, the weight sensor and the water pump. By utilizing the quality control system provided by the embodiment of the invention, rockfill before warehousing can be fully cleaned, and the cleaning quality of the warehousing rockfill is improved.

Description

Technical Field

[0001] This application relates to the field of intelligent construction technology for water conservancy projects, and in particular to a quality control system for riprap concrete placement. Background Technology

[0002] Rockfill concrete is a new type of large-volume concrete independently developed in my country. Its main application areas are dam projects, reinforcement projects, and slope retaining wall projects. It adopts the method of stacking large rocks into the formwork and pouring self-compacting concrete for bonding, thus achieving concrete with a 6-7 grade or even larger aggregate particle size range.

[0003] The construction quality of riprap concrete is directly related to the quality of the riprap itself upon placement. If we ignore the differences in material and performance of the riprap caused by geological conditions, the cleanliness of the riprap surface is one of the influencing factors. This is primarily reflected in the fact that controlling the cleanliness of the riprap surface is crucial to ensuring the bonding performance between the self-compacting concrete and the riprap, as well as the impermeability and mechanical properties of the riprap concrete itself. The higher the cleanliness of the riprap surface, the better the bonding performance between the concrete and the riprap.

[0004] However, in the existing technology, the cleanliness of the rock pile surface mainly relies on experience and manual judgment. The quality control of related indicators is greatly affected by human factors. A common problem in engineering is that the rock piles are not washed sufficiently before entering the storage area, resulting in insufficient cleanliness of the rock pile surface. Some treatment methods, such as sorting and washing the rocks again near the storage area, can partially solve the above problems, but they will affect the construction progress and increase the construction cost. Summary of the Invention

[0005] To address the technical problems existing in the prior art, this application proposes a quality control system for riprap concrete before placement, which can fully wash the riprap before placement, improve the cleanliness of the riprap surface, and further improve the pouring quality of the concrete.

[0006] This application proposes a quality control system for riprap concrete placement, comprising: a flushing platform, which is installed on a foundation and includes an inclined slope; a weight sensor installed on the flushing platform to sense the load-bearing weight of the flushing platform; a water pump installed in a water storage tank, from which water is drawn through a water pipe to a flushing drain pipe, which is located at the top opposite the flushing platform; a nozzle connected to the flushing drain pipe and located between the flushing drain pipe and the flushing platform; an image acquisition device installed at the top, which is used to acquire image information of a transport device used to carry the riprap to be placed in the slab; and a water collection and drainage ditch. The system is constructed on the foundation below the bottom of the slope; a turbidity sensor is installed at the inlet of the drainage ditch to sense the turbidity of the wastewater flowing into the drainage ditch after washing the rockfill; a control terminal is electrically connected to the turbidity sensor, the image acquisition device, the weight sensor, and the water pump. When the load weight sensed by the weight sensor changes abruptly, the control terminal controls the image acquisition device to acquire image information of the transport device. When the control terminal determines that the transport device is parked at a preset position based on the image information, the control terminal controls the water pump to turn on, so that the water sprayed from the nozzle washes the rockfill in the transport device. When the turbidity of the wastewater sensed by the turbidity sensor is lower than the turbidity threshold, the control terminal controls the water pump to turn off.

[0007] Optionally, it also includes a grid, the grid comprising an outer frame and crossbeams and longitudinal beams disposed within the outer frame, the crossbeams and longitudinal beams being arranged interlaced to form a grid, the grid being disposed at the bottom of the stockpile to be loaded into the transport device so that sewage, sludge and gravel can be discharged through the grid.

[0008] Optionally, it further includes: an identifier, the identifier being disposed on the transport device, the identifier being bound to preset information of the transport device, and the image acquisition device acquiring preset information bound to the image information of the identifier by acquiring image information of the identifier.

[0009] Optionally, the preset information is the weight of the transport device and / or the actual length of the marker mask. The weight of the rock pile carried by the transport device is determined by the weight information of the transport device and the load weight sensed by the weight sensor. The particle size distribution curve of the rock pile is determined by the actual length of the marker and the image information of the rock pile in the transport device acquired by the image acquisition device.

[0010] Optionally, the image acquisition device is a camera, and the minor axis of the smallest bounding box of the pile of stones identified by the camera is not less than 32 pixels.

[0011] Optionally, the transport device is a vehicle or a lifting frame.

[0012] This application embodiment also proposes a quality control method for the aforementioned quality control system. The quality control method includes: S100: When a transport device filled with stones enters the washing platform, the weight sensor reading received by the control terminal changes abruptly. The control terminal acquires image information of the transport device in real time through an image acquisition device and analyzes and determines whether the position of the transport device is at a preset stopping position; S200: If the transport device stops at the preset stopping position, then S300 is executed; S300: The control terminal controls the water pump to turn on, and the water in the nozzle sprays onto the pile of stones carried by the transport device. The water after washing the pile of stones flows into the collection and drainage ditch, and the control terminal judges the turbidity of the washing water measured by the turbidity sensor in real time. When the turbidity is consistent with the turbidity at the washing water source and the washing time is greater than a first preset time, the control terminal turns off the water pump and executes S400; S400: After the transport device is left to stand on the slope of the washing platform for a second preset time, the control terminal allows the pile of stones in the transport device to enter the storage area.

[0013] Optionally, the quality control system further includes markers, and between steps S200 and S300, the system further includes: S210: The control terminal controls the image acquisition device to take photos of the rock pile loaded by the transport device and the markers, and uploads them to the control terminal; S220: Based on the photos of the markers and the rock pile, and the rock pile instance segmentation algorithm, the control terminal determines the actual major and minor axis values ​​of the rock pile photos and the equivalent particle size d of the rock pile. j and the volume V of the rubble j The estimated value is then used to obtain the rockfill particle size distribution curve; S230: The control terminal determines whether the rockfill in the transport device meets the construction requirements based on the rockfill particle size distribution curve and the rockfill construction specifications. If it does not meet the requirements, the transport device is returned for reloading. If it meets the requirements, S300 is executed.

[0014] Optionally, the marker is linked to the weight information of the transport device. The quality control method further includes: when the image acquisition device takes a picture of the pile of stones, using the image acquisition device to identify the marker on the transport device to obtain the weight of the transport device, and determining the average pile rate in the warehouse based on the load weight on the current washing platform obtained by the weight sensor, the cumulative number of transports of the transport device, and the total number of transport devices.

[0015] Optionally, the control terminal determines the ID of the transport device based on the identifier, and determines the weight Mk of the transport device based on the ID. id The formula for calculating the rockfill ratio γ is:

[0016]

[0017] in, ρ is the total weight of the vehicle with vehicle number id during the i-th transport of riprap in this riprap concrete construction. rock is the apparent density of the rubble, n is the cumulative number of transport trips by the transport unit numbered id, and m is the total number of transport units. This refers to the volume of rock transported in this instance, Varr id V represents the cumulative rockfill transport volume of a single transport unit, while Varr represents the cumulative rockfill transport volume of all transport units. RFC This is the design volume of the riprap concrete in this warehouse.

[0018] Optionally, the equivalent particle size d of the riprap in step S220 j and the volume V of the rubble j The calculation process includes:

[0019] S221: Determine the masking of the surface rock pile and the masking of the markers based on photographs of the rock pile on top of the transport device;

[0020] S222: Based on the set of boundary vertices of the mask of the pile, calculate its convex hull vertices and the directed bounding box of the convex hull, and use the pixel lengths of the major and minor axes of the directed bounding box as the pixel major axis ap of the pile. j and pixel short axis bp j ;

[0021] S223: Calculate the actual major axis a of the rubble photograph using the following formula. j and short axis b j And the equivalent particle size d of the rubble. j and the volume V of the rubble j The estimated value,

[0022]

[0023] V j =(a j b j ) 3 / 2

[0024] Among them, L id It is the actual length of the marker mask, Lp id It is the pixel length of the rubble pile in the rubble pile photo.

[0025] The quality control system for riprap concrete placement proposed in this application addresses the issue of uneven quality or even substandard quality caused by manual judgment by real-time acquisition of the turbidity of the wastewater used for rinsing the riprap, which allows the control terminal to determine the degree of rinsing. Furthermore, this application utilizes an image acquisition device to collect real-time image information from the transport device. This allows the control terminal to determine whether the transport device is stopped in the designated area, optimizing the coordination between the spray nozzles and the transport device, further enhancing the rinsing intensity and cleanliness of the riprap. Attached Figure Description

[0026] The preferred embodiments of this application will now be described in further detail with reference to the accompanying drawings, wherein:

[0027] Figure 1 This is a schematic diagram of the structure of a quality control system for riprap concrete placement according to an embodiment of this application;

[0028] Figure 2 This is a schematic diagram of the connection structure of the flushing pipe and the water pump according to an embodiment of this application.

[0029] Explanation of reference numerals in the attached figures:

[0030] 100. Quality control system; 101. Flushing platform; 102. Water pump; 103. Sprayer head; 104. Image acquisition device; 105. Water collection and drainage ditch; 106. Turbidity sensor; 107. Control terminal; 108. Foundation; 109. Weight sensor; 110. Water storage tank; 111. Water pipe; 130. Flushing pipe; 1011. Slope; 115. Grating; 116. Marker; 1051. First side wall; 1052. Second side wall; 118. Gate arm device; 1181. Gate arm; 113. Top; 114. Transport device. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0032] In the following detailed description, reference can be made to the accompanying drawings, which form part of this application and illustrate specific embodiments of the present application. In the drawings, similar reference numerals describe substantially similar components in different figures. Specific embodiments of the present application are described in sufficient detail below to enable those skilled in the art to implement the technical solutions of the present application. It should be understood that other embodiments may also be utilized, or structural, logical, or electrical changes may be made to the embodiments of the present application.

[0033] Figure 1 This is a schematic diagram of the structure of a quality control system for riprap concrete placement according to an embodiment of this application. Figure 1 As shown, the quality control system 100 for riprap concrete placement includes: a washing platform 101, a water pump 102, a spray nozzle 103, an image acquisition device 104, a water collection and drainage ditch 105, a turbidity sensor 106, and a control terminal 107.

[0034] A rinsing platform 101 is mounted on a foundation 108. The rinsing platform 101 includes an inclined slope 1011, and a weight sensor 109 is mounted on the rinsing platform 101 to sense the load-bearing weight. In some embodiments of this application, the slope of the inclined slope is optionally 1:20-1:5. A water pump 102 is mounted in a water storage tank 110. Water pumped by the water pump 102 from the water storage tank 110 flows through a water pipe 111 to a flushing drain pipe 130, which is located at the top 113 opposite to the rinsing platform 101. In some embodiments of this application, the flushing drain pipe 130 and the water pipe 111 are optionally made of the same material. Figure 2 This is a schematic diagram of the connection structure between the flushing pipe and the water pump according to an embodiment of this application. Figure 2 As shown, the main difference between the flush drain pipe 130 and the water pipe 111 is that the flush drain pipe 130 is composed of multiple parallel water pipes 111, and adjacent water pipes are connected by water pipes 111. (Combined with...) Figure 1 As shown, the nozzle 103 is connected to the flushing pipe 130, and the nozzle 103 is located between the flushing pipe 130 and the flushing platform 101.

[0035] Water pump 102 flows from water pipe 111 to flushing drain pipe 130 located above flushing platform 101. Since there are many flushing drain pipes 130, compared with a single water pipe set above the transport device 114, the area covered by the nozzles can be increased, thereby increasing the coverage of the nozzles and improving the flushing coverage of the rock pile on the transport device 114, preventing the problem that the flushing water flow cannot cover all the rock pile.

[0036] See also Figure 1As shown, the image acquisition device 104 is installed on the flushing pipe. The image acquisition device is used to acquire image information of the transport device 114, which is used to carry the rubble material to be stored in the warehouse. The water collection and drainage ditch 105 is opened on the foundation 108 below the bottom of the slope 1011. The turbidity sensor 106 is installed at the inlet of the water collection and drainage ditch 105 to sense the turbidity of the wastewater flowing into the water collection and drainage ditch 105 after flushing the rubble.

[0037] The control terminal 107 is electrically connected to the turbidity sensor 106, the image acquisition device 104, the weight sensor 109, and the water pump 102. When the weight sensor 109 senses a sudden change in the load, the control terminal 107 controls the image acquisition device 104 to acquire image information of the transport device 114 to determine its position. When the transport device 114 stops at a preset position, the control terminal 107 controls the water pump 102 to turn on, allowing water from the nozzles 103 to flush the rocks in the transport device 114. When the turbidity sensed by the turbidity sensor is lower than the turbidity threshold, the control terminal 107 controls the water pump 102 to turn off. The turbidity sensor transmits the sensed turbidity information to the control terminal, which compares the turbidity value measured by the turbidity sensor with the stored threshold. When the turbidity is lower than the turbidity threshold, the control terminal 107 controls the water pump 102 to turn off.

[0038] In some embodiments of this application, optionally, a weight sensor 109 is disposed between the washing platform 101 and the foundation 108. The weight sensor 109 sends the sensed weight information to the control terminal 107. The control terminal 107 determines whether the transport device 114 has entered the washing platform 101 by analyzing the weight information. When the transport device 114 enters the washing platform 101, the weight value sensed by the weight sensor 109 will change abruptly. After receiving the weight information that has changed abruptly, the control terminal 107 controls the image acquisition device 104 to acquire image information of the transport device 114. The control terminal 107 determines whether the transport device 114 is parked at a preset position by comparing the position of the transport device 114 in the image information. If the vehicle stops at a preset position, the water pump 102 is turned on, and the nozzles 103 begin spraying water to rinse the riprap in the transport device 114. The turbidity sensor 106 measures the turbidity value of the wastewater flowing into the drainage ditch 105 after rinsing in real time and sends it to the control terminal. The control terminal 107 determines whether the turbidity value is lower than the turbidity threshold. If it is lower than the turbidity threshold, the water pump 102 is turned off, the nozzles 103 stop spraying water, and the rinsing process of the riprap ends. In some embodiments of this application, optionally, the transport device 114 is a dump truck or a movable lifting frame.

[0039] The quality control system for riprap concrete placement proposed in this application addresses the issue of uneven quality or even substandard quality caused by manual judgment by real-time acquisition of the turbidity of the wastewater used for rinsing the riprap, thereby resolving the problem of inconsistent quality or substandard quality resulting from manual judgment. Furthermore, this application utilizes an image acquisition device to collect image information from the transport device in real time. This allows the control terminal to determine whether the transport device is stopped in a designated area, optimizing the coordination between the spray nozzles and the transport device, further enhancing the rinsing intensity and cleanliness of the riprap.

[0040] See also Figure 1 As shown, the quality control system for riprap concrete placement proposed in this application also includes a grid 115. The grid 115 includes an outer frame (not shown in the figure) and crossbeams (not shown in the figure) and longitudinal beams (not shown in the figure) disposed within the outer frame. The crossbeams and longitudinal beams are staggered to form a grid. The grid 115 is disposed at the bottom of the riprap material to be placed in the transport device 114 so that sewage, sludge, and gravel can be discharged through the grid. In the prior art, the sludge washed off the surface of the riprap will accumulate at the bottom of the vehicle. Moreover, the drying time after washing is insufficient, and a large amount of mud and water remains in the vehicle. Thus, during unloading, both sludge and mud and water will cause secondary pollution to the surface of the placement, resulting in a reduction in the quality of concrete pouring. This embodiment of the application, by setting a grating 115 near the bottom of the transport device 114, allows silt washed off the riprap to fall below the grating 115 during the flushing process. The riprap accumulates on the grating 115, and the water remaining on the riprap disperses the silt, which then flows into the drainage ditch 105. This effectively prevents silt from accumulating at the bottom of the transport device 114 and appearing on the storage surface with the riprap, thus contaminating the storage surface. Furthermore, by setting the grating 115, the height of the riprap from the bottom of the transport device is increased. Since there is unused space between the grating 115 and the bottom surface of the transport device 114, the efficiency of riprap drying is improved, preventing mud and water mixed in with the riprap from contaminating the storage surface during unloading. In some embodiments of this application, the grating may optionally be a steel grating made of steel. It should be noted that the riprap cannot be discharged through the mesh formed by the crossbeams and longitudinal beams of the grating.

[0041] See also Figure 1 As shown, the quality control system for riprap concrete placement proposed in this application embodiment further includes a marker 116. The marker 116 is disposed on the transport device 114, and the marker 116 is bound to preset information of the transport device 114. The image acquisition device 104 obtains the preset information bound to the image information of the marker 116 by acquiring the image information of the marker 116. In some embodiments of this application, the preset information is the weight of the transport device and / or the actual length of the marker mask.

[0042] First, by attaching a marker to the weight of the transport device, the weight of the empty transport device can be determined quickly and easily. Then, by subtracting the weight of the transport device from the weight value measured by the weight sensor, the single transport capacity of the rockfill can be obtained. Finally, based on the recorded single transport capacity, the weight and volume of the rockfill entering the warehouse can be determined.

[0043] Specifically, the control terminal 107 can determine the transport device, such as the vehicle ID, based on the image information of the acquired identifier 116, such as its color and numbers, and then retrieve its empty vehicle weight Mk from the backend based on the vehicle ID. id Calculate the volume of rock transported by the vehicle in this operation. The vehicle's cumulative rock transport volume is Varr id The cumulative volume of rock transported by the fleet is Varr; combined with the dimensions and volume of the rock-filled concrete structure on the warehouse surface, the average rock-fill ratio γ inside the warehouse can also be obtained.

[0044]

[0045]

[0046] in, ρ is the total weight of vehicle id during the i-th transport of rubble in the rubble concrete construction of this warehouse. rock V is the apparent density of the rubble, n is the cumulative number of transport trips by vehicle number id, m is the total number of vehicles in the convoy, and V is the total number of vehicles in the convoy. RFC This is the design volume of the riprap concrete in this warehouse.

[0047] Second, by using the actual length of the marker mask bound to the marker, the control terminal can determine the particle size distribution curve of the rubble pile based on the rubble pile image information, such as a rubble pile photograph. Specifically, based on the acquired rubble pile photograph and the trained rubble pile instance segmentation algorithm, the masks of all surface rubble piles and vehicle markers are identified; then, based on the boundary vertex set of the rubble pile mask, its convex hull vertices (a subset of the vertex set) and the directed bounding box (OBB) of the convex hull are calculated, and the pixel lengths of the major and minor axes of the OBB are used as the pixel major axis ap of the rubble pile. j and pixel short axis bp j Then, combine this with the actual length L of the vehicle identification mask. id With pixel length Lp id The proportional relationship between the elements is used to calculate the actual major axis 'a' of the rubble photograph using the formula below. j and short axis b j And the equivalent particle size d of the rubble. j and the volume V of the rubble jThe estimated values ​​are then used to obtain the rockfill particle size distribution curve. Based on this, the control terminal determines whether the rockfill in the transport device meets the construction requirements according to the rockfill particle size distribution curve and the rockfill construction specifications.

[0048]

[0049] V j =(a j b j ) 3 / 2

[0050] It should be noted that the marker mask is a polygon. Principal component analysis is performed on the vertices of the polygon, and its major axis is taken as the feature length (pixel length). This is then compared with the actual length of the marker mask to obtain the quantitative relationship between the pixel distance and the actual distance. In some embodiments of this application, the marker may optionally be rectangular, and the shape of the marker mask is the same as the marker. Therefore, the actual length of the marker mask is also the actual length of the marker. Based on the actual length and pixel length of the marker, the relationship between the pixel length and the actual length of the object in the photo can be determined. Furthermore, based on the pixel major axis and pixel minor axis of the mask of each stone in the rock pile photo, the actual major axis and minor axis of the stone can be determined, thereby determining the estimated value of the stone volume and obtaining the rock pile particle size distribution curve.

[0051] In some embodiments of this application, optionally, the abscissa of the riprap particle size distribution curve is particle size, and the ordinate is the cumulative percentage of riprap smaller than (or larger than) a certain particle size. In embodiments of this application, optionally, the riprap instance segmentation algorithm can employ Mask R-CNN, a popular instance segmentation model and one of the most accurate algorithms in the field of instance segmentation. By adding a branch to Faster R-CNN to predict the object mask, Mask R-CNN achieves pixel-level classification of each instance in an image. In the riprap recognition task, a certain number of on-site riprap images are used to train the Mask R-CNN algorithm. These images need to be labeled with the semantic and contour information of the riprap in the images. After training, the Mask R-CNN algorithm has the ability to recognize riprap particles in new images; after inputting a new riprap image, the algorithm can generate predicted labels for riprap particles and corresponding contours as recognition results. After the riprap image is processed by the Mask R-CNN riprap recognition algorithm, each riprap corresponds to an array of multiple pixels, and the closed polygon obtained by connecting these pixels sequentially is used as the particle contour. To more clearly describe the particle size of the rockfill, the line segment connecting the two farthest points of the polygon is defined as the major axis of the rockfill, denoted by a. j Indicates; the major axis a j The line segment obtained by intercepting the perpendicular bisector of the polygon is defined as the minor axis of the particle, and b is used as the reference point.j The length units are all in mm. When calculating the particle size distribution (PSD) of riprap, assuming the particles are approximately ellipsoids, the volume V of the riprap block can also be approximately calculated using the identified major and minor axes according to the following formula. j :

[0052] V j =(a j b j ) 3 / 2

[0053] Assuming a constant density of riprap, the mass ratio can be simplified to a volume ratio. The cumulative percentages of the gradation curves in this paper are calculated using the following formula:

[0054]

[0055] In the formula, a p b is the major axis of the p-th pile of stones; p Let λ be the minor axis of the p-th pile of stones; p The sum of the masses of all piled stones arranged in ascending order of their major axis is the percentage of the total mass of all piled stones whose major axis length is less than ap.

[0056] In some embodiments of this application, optionally, the image acquisition device is a camera, and the minor axis of the smallest bounding box of the pile of stones identified by the camera is not less than 32 pixels. In the embodiments of this application, by using the correspondence between the photo pixels of the marker obtained by the image acquisition device and the actual size, the actual major and minor axes of the pile of stones in the image corresponding to the pixel major and minor axes of the image of the pile of stones obtained by the image acquisition device are determined. Then, the equivalent particle size is calculated according to the above formula. Ensuring that the minor axis of the smallest bounding box is not less than 32 pixels can avoid rendering problems caused by excessively small pixels, such as jagged edges and blurring, thereby improving the rendering quality and stability of the graphics.

[0057] In some embodiments of this application, optionally, a steel mesh (not shown in the figure) is provided on the top of the water collection and drainage ditch 105. The aperture of the steel mesh does not exceed half of the minimum particle size of the rock to be piled up, so as to prevent small-diameter rocks from being washed out and stuck in the water collection and drainage ditch.

[0058] See also Figure 1 As shown, the water collection and drainage ditch 105 includes a first sidewall 1051 and a second sidewall 1052. The height of the first sidewall 1051 is higher than the height of the second sidewall 1052. The first sidewall 1051 faces the bottom of the slope, and its height is not lower than the bottom of the slope. In this way, through the blocking effect of the first sidewall 1051, most of the sewage flowing out of the transport device 114 can flow smoothly into the water collection and drainage ditch 105.

[0059] Furthermore, the quality control system 100 for riprap concrete placement in this embodiment of the application also includes a gate arm device 118. The gate arm 1181 of the gate arm device 118 is located at the entrance of the riprap surface (not shown in the figure), and the gate arm device 118 is electrically connected to the control terminal 107. Thus, when the weight sensor 109 senses a sudden change in the load-bearing weight of the washing platform 101, the control terminal 107 controls the gate arm 1181 to close the road leading to the riprap surface, preventing the transport device 114 from continuing to move forward.

[0060] See also Figure 1 and Figure 2 As shown, multiple flushing pipes 130 are arranged side by side above the transport device 114. Each flushing pipe 130 is provided with multiple nozzles 103 at intervals. The distance between adjacent flushing pipes 130 does not exceed the spray diameter of the nozzle 103; the distance between the nozzles on a single flushing pipe 130 does not exceed the spray diameter of the nozzle.

[0061] In this embodiment, the image acquisition device 104 is positioned directly above the transport device 114, and the height of the image acquisition device 104 from the foundation 108 does not exceed the height of the flushing pipe 130 from the foundation. In some embodiments of this application, optionally, the spray diameter of the nozzle 103 ranges from 30 to 80 cm.

[0062] See also Figure 2 As shown, the flushing pipe 130 is the main channel for high-pressure water and should preferably be made of stainless steel. It connects to the high-pressure water pump and water pipes. The flushing pipes 130 are parallel and equidistantly distributed and interconnected. Spray nozzles 103 are connected to them at equal intervals to increase the coverage area of ​​the high-pressure water flushing without reducing water pressure. The spray nozzles 103 are stainless steel rotating nozzles with a coverage diameter D. r This refers to the diameter of the rotational trajectory of the high-pressure water jet on the top surface of the truck bed, typically set at 30-80 cm; the spacing L of the parallel pipes. pip The coverage diameter D of the stainless steel rotary nozzle 2 shall not exceed r The spacing L of the stainless steel rotating nozzles 2 on a single pipe r No more than the coverage diameter D r .

[0063] This application also proposes a quality control method based on the aforementioned quality control system, combined with... Figure 1 As shown, this quality control method includes the following steps:

[0064] S100: When the transport device 114 loaded with stones enters the washing platform 101, the reading of the weight sensor 109 received by the control terminal 107 changes abruptly. The control terminal 107 acquires the image information of the transport device 114 in real time through the image acquisition device and analyzes and determines whether the position of the transport device 114 is at the preset stopping position.

[0065] S200: If the carrier device 114 stops at the preset docking position, then execute S300;

[0066] S300: Control terminal 107 controls water pump 102 to turn on, water in nozzle 103 sprays onto the rock pile carried by transport device 114, water after rinsing the rock pile flows into water collection and drainage ditch 105, and control terminal 107 judges the turbidity of the rinsing water measured by turbidity sensor 106 in real time. When the turbidity is consistent with the turbidity at the rinsing water source and the rinsing time is greater than the first preset time, control terminal 107 turns off water pump 102 and executes S400.

[0067] S400: After the transport device 114 has been stationary on the slope of the washing platform 101 for a second preset time, the control terminal 107 approves the entry of the rock pile in the transport device 114 into the storage area.

[0068] In step S400, the duration for which the transport device 114 remains stationary on the slope can be timed starting from the shutdown of the water pump 102. Once the control terminal 107 determines that the time elapsed since the water pump 102 was shut off meets the second preset duration, the control terminal 107 approves the entry of the riprap from the transport device 114 into the storage area. In some embodiments of this application, optionally, the first preset duration is 3-5 minutes, and the second preset duration is 1-3 minutes.

[0069] In this embodiment, a parking position mark can be pre-marked on the washing platform 101, and the image acquisition device 104 can simultaneously acquire images of the top of the transport device 114 and the area around the transport device 114. The washing platform 101 around the transport device 114 is marked with parking position marks. The distance between a certain position on the transport device 114 and the parking position mark is compared to determine whether the transport device 114 has parked at the preset position. In some embodiments of this application, optionally, the preset parking position is the middle position of the washing platform 101.

[0070] Optionally, in some embodiments of this application, the quality control system 100 further includes an identifier 116, and the following steps are further included between steps S200 and S300:

[0071] S210: The control terminal 107 controls the image acquisition device 104 to take pictures of the rock pile material loaded by the transport device 114 and the marker 116, and uploads them to the control terminal 107.

[0072] S220: Based on the marker 116, the photograph of the riprap, and the riprap instance segmentation algorithm, the control terminal 107 determines the actual major and minor axis values ​​of the riprap photograph and the equivalent particle size d of the riprap. j and the volume V of the rubble j The estimated values ​​are then used to obtain the rockfill particle size distribution curve;

[0073] S230: Control terminal 107 determines whether the rockfill in the transport device meets the construction requirements based on the rockfill particle size distribution curve and the rockfill construction specifications. If it does not meet the requirements, the transport device is returned for reloading. If it meets the requirements, S3 is executed.

[0074] The specifications for rockfill construction include: the proportion of rockfill with a particle size less than 300mm should not exceed 30%, and the proportion of rockfill with a particle size greater than 400mm should exceed 30%. When the particle size and shape parameters of the rockfill deviate significantly from the construction requirements, an alarm will be triggered to remind the driver and relevant construction personnel that the rockfill material in this vehicle should not be put into the storage area.

[0075] Additionally, the actual major and minor axes of the rubble pile in the rubble pile photo are based on the pixel major axis (ap) of the rubble pile in the rubble pile photo. j and pixel short axis bp j The ratio between the pixel length and the actual length of the marker is used to determine this.

[0076] In some embodiments of this application, optionally, the equivalent particle size d of the riprap in step S220 is... j and the volume V of the rubble j The calculation process includes:

[0077] S221. Determine the masking of the surface rock pile and the masking of the markers based on photographs of the rock pile on top of the transport device;

[0078] S222. Based on the set of boundary vertices of the mask of the pile, calculate its convex hull vertices and the directed bounding box of the convex hull, and use the pixel lengths of the major and minor axes of the directed bounding box as the pixel major axis ap of the pile. j and pixel short axis bp j ;

[0079] S223. Calculate the actual major axis a of the rubble photograph using the following formula. j and short axis b j And the equivalent particle size d of the rubble. j and the volume V of the rubble j ,

[0080]

[0081] V j =(a j bj ) 3 / 2

[0082] Among them, L id It is the actual length of the marker mask, Lp id It is the pixel length of the identifier.

[0083] In step S221, the photograph of the piled stones contains multiple stones. Through image processing technology, the contour features of individual stones can be extracted using a mask, thereby determining the major and minor axes of each stone. Similarly, since other substances may be present in the photograph of the marker captured by the image acquisition device, a mask can be used for occlusion extraction to extract the marker's contour. Then, based on the ratio of the stored true length of the marker to its pixel length, the proportional relationship between the pixel length and the true length can be determined. Based on this proportional relationship, the actual major and minor axes of each stone can be further calculated.

[0084] Furthermore, in some embodiments of this application, optionally, the quality control method proposed in the embodiments of this application further includes:

[0085] When the image acquisition device takes pictures of the rock pile, it is used to identify the markers on the transport device to obtain the weight of the transport device. Based on the load weight on the current washing platform obtained by the weight sensor, the cumulative number of transports of the transport device, and the total number of transport devices, the average rock pile ratio in the warehouse is determined.

[0086] Optionally, in some embodiments of this application, the identifier is bound to the ID of the transport device, and the ID of the transport device is bound to the weight of the transport device. The ID of the transport device can be obtained by scanning the identifier, and the control terminal can obtain the weight Mk of the transport device when it is unloaded based on the ID. id .

[0087] Optionally, in some embodiments of this application, the control terminal determines the ID of the transport device based on the identifier, and determines the weight Mk of the transport device based on the ID. id The formula for calculating the average rockfill ratio γ in the warehouse is:

[0088]

[0089] in, ρ is the total weight of the vehicle with vehicle number id during the i-th transport of riprap in this riprap concrete construction. rock is the apparent density of the rubble, n is the cumulative number of transport trips by the transport unit numbered id, and m is the total number of transport units. This refers to the volume of rock transported in this instance, Varr idV represents the cumulative rockfill transport volume of a single transport unit, while Varr represents the cumulative rockfill transport volume of all transport units. RFC This is the design volume of the riprap concrete in this warehouse.

[0090] In summary, the quality control system for riprap concrete placement proposed in this application can achieve cleaning of the riprap material before placement, and intelligently monitor the degree of cleaning through turbidity sensors, control terminals, and other mechanisms, thus eliminating the problem of incomplete cleaning caused by manual monitoring. This application embodiment realizes intelligent automated control of the riprap washing process and washing strategy, improving construction efficiency and reducing labor costs.

[0091] Furthermore, the embodiments of this application can also achieve real-time online monitoring of the washing quality and particle size and shape of the rockfill entering the storage area, standardizing the construction process and significantly improving construction quality. Moreover, through statistical calculation of the volume of rockfill entering the storage area, it can also provide guidance for rockfill operations within the storage area, improving construction efficiency.

[0092] The above embodiments are for illustrative purposes only and are not intended to limit the scope of this application. Those skilled in the art can make various changes and modifications without departing from the scope of this application. Therefore, all equivalent technical solutions should also fall within the scope of this application.

Claims

1. A quality control system for riprap concrete placement, characterized in that, include: A flushing platform is installed on a foundation and includes an inclined slope. A weight sensor is installed on the flushing platform to sense the load-bearing weight of the flushing platform. A water pump is installed in a water storage tank. The water pump draws water from the water storage tank and delivers it through a water pipe to a flushing drain pipe, which is installed at the top opposite the flushing platform. A nozzle is connected to the flushing pipe and is located between the flushing pipe and the flushing platform. An image acquisition device is installed on the top and is used to acquire image information of the transport device, which is used to carry the piled stone to be put into the warehouse. A water collection and drainage ditch, which is constructed on the foundation below the bottom of the slope; A turbidity sensor is installed at the inlet of the water collection and drainage ditch to sense the turbidity of the wastewater flowing into the water collection and drainage ditch after flushing the rock pile. The control terminal is electrically connected to the turbidity sensor, the image acquisition device, the weight sensor, and the water pump. When the load weight sensed by the weight sensor changes abruptly, the control terminal controls the image acquisition device to acquire image information of the transport device. When the control terminal determines that the transport device is parked at a preset position based on the image information, the control terminal controls the water pump to turn on, so that the water sprayed from the nozzle washes the pile of rocks in the transport device. When the turbidity of the sewage sensed by the turbidity sensor is lower than the turbidity threshold, the control terminal controls the water pump to turn off.

2. The quality control system for riprap concrete placement according to claim 1, characterized in that, It also includes a grid, which includes an outer frame and crossbeams and longitudinal beams disposed within the outer frame. The crossbeams and longitudinal beams are arranged to intersect each other to form a grid. The grid is disposed at the bottom of the pile of stones to be loaded into the storage bin in the transport device so that sewage, sludge and gravel can be discharged through the grid.

3. The quality control system for riprap concrete placement according to claim 1, characterized in that, Also includes: The marker is installed on the transport device and is bound to preset information of the transport device. The image acquisition device obtains the preset information bound to the image information of the marker by acquiring the image information of the marker.

4. The quality control system for riprap concrete placement according to claim 3, characterized in that, The preset information is the weight of the transport device and / or the actual length of the marker mask. The weight of the rock pile carried by the transport device is determined by the weight information of the transport device and the load weight sensed by the weight sensor. The particle size distribution curve of the rock pile is determined by the actual length of the marker and the image information of the rock pile in the transport device acquired by the image acquisition device.

5. The quality control system for riprap concrete placement according to claim 4, characterized in that, The image acquisition device is a camera, and the minor axis of the smallest bounding box of the pile of stones identified by the camera is not less than 32 pixels.

6. The quality control system for riprap concrete placement according to claim 3, characterized in that, The transport device is a vehicle or a lifting frame.

7. A quality control method for a quality control system based on the riprap concrete placement quality control system according to any one of claims 1-6, characterized in that, include: S100: When the transport device loaded with stones enters the washing platform, the weight sensor reading received by the control terminal changes abruptly. The control terminal acquires the image information of the transport device in real time through the image acquisition device and analyzes and determines whether the position of the transport device is at the preset stopping position. S200: If the transport device stops at the preset docking position, then execute S300; S300: The control terminal controls the water pump to turn on, and the water in the nozzle sprays onto the pile of rocks carried by the transport device. The water after rinsing the pile of rocks flows into the collection and drainage ditch. The control terminal judges the turbidity of the rinsing water measured by the turbidity sensor in real time. When the turbidity is consistent with the turbidity at the rinsing water source and the rinsing time is greater than the first preset time, the control terminal turns off the water pump and executes S400. S400: After the transport device has been stationary on the slope of the washing platform for a second preset time, the control terminal approves the entry of the piled stone material in the transport device into the storage area.

8. The quality control method according to claim 7, characterized in that, The quality control system also includes identification elements, and between steps S200 and S300, the following is also included: S210: The control terminal controls the image acquisition device to take photos of the pile of rocks and markers loaded on the transport device and uploads them to the control terminal. S220: The control terminal determines the actual major and minor axis values ​​of the rock pile photos and the equivalent particle size d of the rock pile based on the photos of the markers and rock piles, as well as the rock pile instance segmentation algorithm. j and the volume V of the rubble j The estimated values ​​are then used to obtain the particle size distribution curve of the rockfill; S230: The control terminal determines whether the rockfill in the transport device meets the construction requirements based on the rockfill particle size distribution curve and the rockfill construction specifications. If it does not meet the requirements, the transport device is returned for reloading. If it meets the requirements, S300 is executed.

9. The quality control method according to claim 8, characterized in that, The marker is linked to the weight information of the transport device, and the quality control method further includes: When the image acquisition device takes a picture of the pile of stones, the image acquisition device is used to identify the markers on the transport device to obtain the weight of the transport device. The average pile rate in the warehouse is determined based on the load weight on the current washing platform obtained by the weight sensor, the cumulative number of transports of the transport device, and the total number of transport devices.

10. The quality control method according to claim 9, characterized in that, The control terminal determines the ID of the transport device based on the identifier, and determines the weight Mk of the transport device based on the ID. id The formula for calculating the rockfill ratio γ is: in, ρ is the total weight of the vehicle with vehicle number id during the i-th transport of riprap in this riprap concrete construction. rock is the apparent density of the rubble, n is the cumulative number of transport trips by the transport unit numbered id, and m is the total number of transport units. This refers to the volume of rock transported in this instance, Varr id V represents the cumulative rockfill transport volume of a single transport unit, while Varr represents the cumulative rockfill transport volume of all transport units. RFC This is the design volume of the riprap concrete in this warehouse.

11. The quality control method according to claim 8, characterized in that, The equivalent particle size d of the riprap in step S220 j and the volume V of the rubble j The calculation process further includes: S221: Determine the masking of the surface rock pile and the masking of the markers based on photographs of the rock pile on top of the transport device; S222: Based on the set of boundary vertices of the rock pile mask, calculate its convex hull vertices and the directed bounding box of the convex hull, and use the pixel lengths of the major and minor axes of the directed bounding box as the pixel major axis ap of the rock pile. j and pixel short axis bp j ; S223: Calculate the actual major axis a of the rubble photograph using the following formula. j and short axis b j And the equivalent particle size d of the rubble. j and the volume V of the rubble j , V j =(a j b j ) 3 / 2 Among them, L id It is the actual length of the marker mask, Lp id It is the pixel length of the rubble in the rubble photo.

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