JP2017198017A - Quality management method for rock zone in rock fill dam - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a quality management method for rock zone in a rock fill dam, where field density test may be accurately carried out with a simple method to rock zone in a rock fill dam which is currently constructed so as to realized quality management.SOLUTION: There is provided a quality management method for rock zone in a rock fill dam where lock material is collected from a filled surface of the rock zone, a test hole is formed, a field density test is carried out by utilizing the test hole, and a particle size test is carried out by utilizing the collected lock material. The particle size test is carried out in a manner where the lock material is subjected to sieving so as to be separated into large-diameter lock material and small-diameter lock material, and then the particle size test is carried out. In the particle size test for the small-diameter lock material, whole volume of the small-diameter lock material spread onto transportation surface continuously transported is captured by 3D line laser camera so as to obtain 3-dimensional surface shape data, and then article size distribution curve (wet weight ratio) of the small-diameter lock material is prospected based on the 3-dimensional surface shape data.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a quality control method for a rock zone in a rock fill dam under construction.

  The rockfill dam has a three-layer structure in which a core zone that forms a water barrier of a clay layer is placed in the center, and a lock zone made of a rock material is placed around the filter zone. A stable dam is built by rolling and compacting the lock material with a vibrating roller. As a quality control method for the rock zone during construction work, for example, it is known to perform an on-site density test and a particle size test for each fixed amount.

  In the above-mentioned on-site density test and particle size test, since the test hole has a hole diameter of about 2 m and the hole depth is as large as about 1 m, time and labor are required for excavation work. In addition, since the lock material collected from the test hole is made of a coarse material having a maximum particle size of about 1 m, a great deal of labor is required when conducting a particle size test by manual screening to obtain the specific gravity. The work to do was complicated.

  Under such circumstances, for example, Patent Document 1 discloses a ground material particle size measurement system that creates a particle size accumulation curve of ground material collected at a predetermined place without performing a particle size test by sieving. ing. Specifically, the samples collected from the ground material are classified into small-diameter granules having a predetermined particle diameter D or less and large-diameter granules having a predetermined particle diameter D or more. After estimating the particle size accumulation curve of the body, these are synthesized and the particle size accumulation curve of the sample collected from the ground material is estimated.

JP 2009-36533 A

  The above method estimates the particle size accumulation curve of a large-diameter granule using the contour extracted from the image of the large-diameter granule, but only extracts the contour of the large-diameter granule from the two-dimensional image. Instead, the volume of the entire large-diameter granule and the particle diameter of each large-diameter granule are estimated from the area inside the contour, considering the large-diameter granule as a sphere or an ellipsoid. For this reason, it cannot be said that the estimation result of the particle size accumulation curve has sufficient accuracy.

  In addition, in order to estimate the particle size accumulation curve of a small-diameter granule, the total volume ratio of the small-diameter granule to the sample is estimated from the volume of the large-diameter granule and the volume of the entire sample, and a sample of the ground material is previously obtained. Are prepared, and a particle size accumulation curve for each small-diameter granule is obtained. Then, according to the total volume ratio of the small-diameter granule to the sample, the passing mass percentage of the predetermined particle size D in the particle size accumulation curve of the small-diameter granule of the plurality of samples is the particle size addition in the large-diameter granule of the sample. The one that is the same as the passing mass percentage of the predetermined particle diameter D calculated from the product curve is selected, and this is estimated as the particle diameter accumulation curve in the small-diameter granular material of the sample.

  At this time, the particle size accumulation curve of each of the plurality of samples is approximated by a predetermined exponential function P of the particle size ratio with respect to the predetermined particle size D to obtain an index n of the exponential function P, and the small diameter granularity preliminarily estimated as the index n It is necessary to calculate the relational expression R with the total volume ratio of the body. For this reason, the estimation method is complicated, and the estimation method does not include a step of analyzing the small-diameter granular material itself of the sample body, resulting in poor reliability of the estimation result.

  The present invention has been made in view of such a problem, and its main purpose is to perform a quality test by accurately performing an on-site density test and a particle size test on a rock zone in a rock fill dam under construction with a simple method. It is to provide a quality control method of a rock zone in a rockfill dam that can be managed.

  In order to achieve such an object, the quality control method of the lock zone in the rock fill dam of the present invention is to collect a lock material from the rising surface of the lock zone, provide a test hole, and perform an on-site density test using the test hole. A quality control method for a lock zone in a rock fill dam that performs a particle size test using the collected lock material, wherein the particle size test is performed by sieving the lock material in its entirety to obtain a large diameter lock material and a small diameter The particle size test for the small-diameter lock material is carried out by classifying it into the lock material, and the 3D line laser camera is used to image the entire amount of the small-diameter lock material that has been squeezed onto the transport surface that is continuously conveyed. After obtaining the three-dimensional surface shape data by the method, estimating the particle size distribution curve (wet weight ratio) of the small-diameter lock material based on the three-dimensional surface shape data And features.

  According to the above-described quality control method of the lock zone in the rock fill dam of the present invention, the particle size distribution curve (wet weight) can be obtained by image analysis of the three-dimensional surface shape data in a simple on-site operation in which only a small-diameter lock material is sprinkled on the conveyance surface. Ratio) can be estimated. As a result, it is possible to save labor in the on-site density test of the lock zone in the rock fill dam during construction work, and the work time required for the test can be greatly shortened.

  Also, three-dimensional surface shape data is acquired for the entire amount of the small-diameter lock material rolled out on the conveying surface, and a particle size distribution curve (wet weight ratio) of the small-diameter lock material is estimated by image analysis of the three-dimensional surface shape data. Therefore, the particle size distribution curve (wet weight ratio) of the entire lock material should be obtained quickly and accurately by synthesizing with the particle size distribution curve (wet weight ratio) of the large diameter lock material that is separately subjected to the particle size test separately from the small diameter lock material. Is possible.

  The quality control method of the rock zone in the rock fill dam of the present invention is carried out in advance by conducting a particle size test by sieving using a sample obtained from a rock material before being erected, and by passing through each of a plurality of sieves having different openings (wet weight) Ratio) and an optimum threshold value corresponding to each sieve, and from the three-dimensional surface shape data to the height corresponding to each of the optimum threshold values from the conveying surface of the conveyor belt to the entire volume of the small-diameter lock material After calculating the volume ratio of the product as a product passage rate (image volume ratio), the product pass rate (image volume ratio) is set to the product passage rate (wet weight ratio) of the sieve with the optimum threshold set. It is characterized by estimating the particle size distribution curve (wet weight ratio) of the small-diameter lock material group by making a comparison.

  According to the quality control method of the lock zone in the rock fill dam of the present invention described above, the accumulation threshold (wet weight ratio) obtained in the particle size test by sieving is reflected in the setting of the optimum threshold. The particle size distribution curve (wet weight ratio) of the small-diameter lock material estimated from the particle size distribution curve (image volume ratio) by image analysis of the three-dimensional surface shape data used has the same accuracy as when performing a particle size test by sieving. It can be secured.

  The quality control method of the rock zone in the rock fill dam of the present invention is to extract a circumscribed cuboid for each stone particle constituting the small-diameter lock material from the three-dimensional surface shape data, and to calculate the length of each of the three orthogonal axes of the circumscribed cuboid. The volume is calculated, the intermediate length of the lengths of each of the three axes is regarded as the particle diameter of the stone particles, and the volume is regarded as the weight of the stone particles, and the particle size distribution curve of the small diameter lock member ( Wet weight ratio) is estimated.

  According to the above-mentioned quality control method of the rock zone in the rock fill dam of the present invention, the method for calculating the particle diameter of the small-diameter rock material is defined as “Granularity test method for ground material containing stone (JGS0132-2009)”. This method reflects the method of setting three axes orthogonal to the stone particles and setting the intermediate length of the three axes to the particle diameter of the stone particles. As a result, it is possible to obtain the same test result as when the particle size test is performed by sieving by human power while omitting the labor of manual labor.

  According to the present invention, a three-dimensional surface obtained by acquiring a particle size distribution curve (wet weight ratio) of a small-diameter lock material out of a lock material collected from a raised surface when performing quality control of the lock zone from a 3D line laser camera. Since the shape data can be estimated by image analysis, the quality control of the lock zone in the rock fill dam during construction can be performed with a simple method with high accuracy.

It is a figure which shows the flow of the quality control method of the rock zone in the fill dam of this invention. It is a figure which shows the procedure of the quality control method of this invention (the 1). It is a figure which shows the procedure of the quality control method of this invention (the 2). It is a figure which shows the particle size distribution curve (wet weight ratio) produced with the quality control method of this invention (when passing through a 300 mm screen is used as the small diameter lock material 100). It is a figure which shows the particle size distribution curve (wet weight ratio) produced with the quality control method of this invention (when passing through a 75-mm sieve is made into the small diameter lock material 100). It is a figure which shows the outline of the three-dimensional image processing equipment of this invention. It is a figure which shows the outline of the three-dimensional image processing equipment (when a belt feeder is not used) of this invention. It is a figure which shows the 3D line laser camera with which the three-dimensional image processing equipment of this invention was equipped, and the profile data P imaged. It is a figure which shows the dark room and vibration suppression mechanism of the three-dimensional image processing equipment of this invention. It is a figure which shows the optimal threshold value used with the method of estimating the particle size distribution curve (wet weight ratio) in this invention. (A) is a figure which shows the small diameter lock material sample group used in the calibration in this invention, (b) is a figure which shows the cross-sectional shape of the small diameter lock material sample group used in the calibration in this invention. . It is a figure which shows the circumscribed rectangular parallelepiped which touches the stone particle | grains of this invention. (A) is a state in which the stone particles of the present invention are spread out, and (b) is a diagram showing a state in which the stone particles are sliced in the horizontal direction. It is a figure which shows the other example of the three-dimensional image processing equipment of this invention.

  The quality control method of the rock zone in the rock fill dam of the present invention is a method used when performing both the on-site density test and the grain size test among the on-site tests of the rock zone in the rock fill dam during construction work. As a result of the test, the dry density ρd and the gap ratio eb may be grasped, or may be completed by grasping the particle size distribution curve (wet weight ratio) of the entire lock material R together with this. Good.

  In addition, quality control may be performed periodically or for every fixed amount, but in the present embodiment, the case where the dry density ρd and the gap ratio eb are grasped for each constant amount. As an example, the method will be described in detail below with reference to FIGS.

  Rockfill dams are enlarging the rock zone while managing the material particle size, moisture content, and compaction energy according to the construction specifications to achieve the specified compaction degree determined based on prior test construction. When a certain amount of rising is reached, an on-site density test is performed by the water displacement method according to the procedure shown in the flow of FIG. 1, and quality control of the rising surface F after compaction is performed.

  First, as shown in FIG. 2 (a), after removing the uneven surface of the rising surface F and leveling the surface, a test hole 300 for carrying out an on-site density test is excavated with a backhoe to cut the hole wall manually. To shape (step 1). Thereafter, as shown in FIG. 2B, after laying the sheet 310 so as to be in close contact with the hole wall (step 2), as shown in FIG. 3A, water 320 is injected into the sheet, The volume V of the test hole 300 is calculated from the amount of water 320 (step 3).

  On the other hand, as shown in FIG. 3B, the lock material R collected from the upright surface to construct the test hole 300 is classified into a small-diameter lock material 100 and a large-diameter lock material 200 by sieving (step 4). In the present embodiment, a screen having a screen size of 300 mm is used for sieving, and those passing through the 300 mm screen are classified as the small-diameter locking material 100, and those remaining on the screen without passing through are classified as the large-diameter locking material 200. Or what passed the 75-mm sieve is classified as the small diameter lock material 100, and what was left on the screen without passing is classified as the large diameter lock material 200.

  The classified small-diameter lock member 100 and large-diameter lock member 200 are loaded on a transport carriage or the like, and their weights M1 and M2 are measured using a truck scale, a crane scale, or the like (steps 5 and 6). Thereafter, the wet density ρt is grasped from the total value of the weights M1 and M2 and the volume V of the test hole 300 (step 7).

  Further, the particle size distribution curve (wet weight ratio) of the large diameter lock material 200 is measured (step 8), the particle size distribution curve (wet weight ratio) of the small diameter lock material 100 is estimated (step 9), and these are synthesized. Thus, the particle size distribution curve (wet weight ratio) of the entire lock member R taken from the upright surface in order to construct the test hole 300 as shown in FIG. 4 or FIG. 5 is estimated.

  Finally, the water content ratio of each particle size is obtained, the dry weight is calculated from the wet weight, the particle size distribution curve (absolute dry weight ratio) of the entire lock material R is estimated (step 10), and the synthetic specific gravity and the synthetic water content ratio are calculated. The dry density ρd and the gap ratio eb are calculated and the quality control of the rising surface F is finished (step 11).

  In grasping the particle size distribution curve (wet weight ratio) at step 8 and step 9 in the quality control method of the rock zone described above, the large-diameter rock material 200 is “a particle size test method for ground material containing stone (JGS0132-2009)”. The particle size test by sieving is performed based on

  Specifically, the large-diameter lock material 200 left on the screen without passing through a 300 mm screen is screened using a test instrument having a desired opening size, and a particle size distribution curve (wet weight ratio) ). In addition, the large-diameter lock material 200 that is left on the sieve without passing through a sieve with a 75 mm sieve is sieved using a test instrument with a sieve having a sieve diameter of 75 mm, 125 mm and an opening size of 300 mm, and the particle size distribution. Create a curve (wet weight ratio). Note that the large-diameter lock member 200 exceeding 300 mm does not necessarily have to be subjected to further measurement (step 8).

  On the other hand, the small-diameter lock member 100 estimates a particle size distribution curve (wet weight ratio) by image analysis using three-dimensional image surface shape data (step 9). The image analysis using the three-dimensional image surface shape data is performed using the three-dimensional image processing facility 1 shown below. For details of the three-dimensional image processing facility 1, refer to Japanese Patent Application No. 2006-7815.

<3D image processing equipment>
As shown in FIG. 6, a three-dimensional image processing facility 1 for estimating a particle size distribution curve (wet weight ratio) by image analysis using three-dimensional image surface shape data includes a belt conveyor device 5 and a conveyor belt 4. A 3D line laser camera 6 is provided for acquiring three-dimensional surface shape data of the small-diameter lock member 100 that is rolled out on the conveyance surface.

  The belt conveyor device 5 is a conveying device that is generally used for conveying loose loads. In this embodiment, the belt conveyor device 5 includes an adjusting mechanism that can adjust the feeder speed of the belt feeder 3 and the belt speed of the conveyor belt 4. ing. As a result, the feeder speed is adjusted so as to be slower than the belt speed of the conveyor belt 4, and the small-diameter locking material 100 squeezed out from the hopper 2 through the belt feeder 3 is flat on the conveying surface of the conveyor belt 4 without overlapping. To disperse. Note that the belt feeder 3 is not necessarily used, and as shown in FIG. 7, the belt feeder 3 may be directly squeezed out to the conveyor belt 4 by a dump truck or human power.

  Further, as shown in FIG. 8, the 3D line laser camera 6 employs a camera corresponding to the light cutting method, which includes a laser projector 61 capable of irradiating the laser linear light L and a camera lens 62. . Then, the imaging target area set on the conveying surface of the conveyor belt 4 in the conveying section of the belt conveyor device 5 is irradiated with the laser linear light L so as to be orthogonal to the moving direction of the conveyor belt 4, and the imaging target area is irradiated. The moving small-diameter lock member 100 is imaged by the camera lens 62 in synchronization with this movement.

  Thus, by obtaining a large number of profile data P indicating the outer shape of the cross-sectional shape when the small-diameter locking material 100 is cut in the width direction of the conveyor belt 4, three-dimensional surface shape data of the small-diameter locking material 100 can be obtained. In addition, by processing the profile data P, the two-dimensional cross-sectional shape of the small-diameter lock member 100 can be obtained.

  As shown in FIG. 9A, the imaging target area of the 3D line laser camera 6 is located inside the dark room 7 installed independently of the belt conveyor device 5, and the 3D line laser camera 6 Is installed in the darkroom 7. The dark room 7 is constructed so as not to contact the belt conveyor device 5 to prevent the vibration of the belt conveyor device 5 from being transmitted to the 3D line laser camera 6.

  Further, as shown in FIG. 9B, the vibration suppression mechanism 10 is installed in a certain range including the imaging target area of the 3D line laser camera 6. Thereby, the 3D line laser camera 6 can capture an image of the small-diameter lock member 100 that does not move up and down on the transport surface of the conveyor belt 4, and can acquire highly accurate three-dimensional surface shape data.

  The profile data P and the three-dimensional surface shape data composed of the profile data P are transmitted to the terminal device 11 shown in FIG. 6 and subjected to image processing. The terminal device 11 is an information processing device composed of hardware such as an arithmetic processing device and a storage device and software that operates on the hardware, a communication device that inputs various data to the information processing device, a keyboard, and the like. And an output device composed of a display and a storage device for outputting the results of arithmetic processing performed by the information processing device in real time.

<Method for estimating particle size distribution curve (wet weight ratio) of small diameter lock material>
A method for estimating the particle size distribution curve (wet weight ratio) using the above three-dimensional image processing facility 1 will be described below (step 9).

  As shown in FIG. 6, the small-diameter locking material 100 whose weight M1 is measured with a track scale or the like is put into the hopper 2 and rolled out onto the conveyor belt 4 through the belt feeder 3. Then, as shown in FIG. 8, the 3D line laser camera 6 captures the entire amount of the small-diameter locking material 100 that has passed through the imaging target region, and acquires three-dimensional surface shape data from the profile data P obtained thereby, It transmits to the terminal device 11.

  Then, the total volume of the small-diameter lock member 100 is measured by the terminal device 11 from the three-dimensional surface shape data. Here, the total volume of the small-diameter locking material 100 is the lower end surface made of the conveying surface of the conveyor belt 4 and the upper end surface made of the profile data P in the length range of the small-diameter locking material 100 in the moving direction of the conveyor belt 4. This is the total volume of the area surrounded by.

  When the three-dimensional surface shape data and the volume of the small-diameter lock member 100 acquired by the above procedure are used to classify those passing through a 300 mm screen as the small-diameter lock member 100, the method shown in the first embodiment In addition, when a material passing through a 75 mm screen is classified as the small-diameter lock member 100, the particle size distribution curve (wet weight ratio) is estimated by the method shown in the second embodiment.

<First Embodiment>
The small-diameter lock member 100 having a sieve having passed through a 300 mm screen has a particle size distribution curve (wet weight ratio) estimated by image analysis using three-dimensional image surface shape data described below. For details of the method of estimating the particle size distribution curve (wet weight ratio) in the first embodiment, refer to Japanese Patent Application No. 2006-7815.

  In addition, the small-diameter rock material 100 is manually subjected to a particle size test by sieving according to “Granularity test method of ground material containing stone (JGS0132-2009)” and “Soil particle size test method (JIS A 1204: 2009)”. In this case, it is stipulated that nine types of sieves having a sieve size of 2.0 mm, 4.75 mm, 9.5 mm, 19 mm, 26.5 mm, 37.5 mm, 53 mm, 75 mm, and 125 mm are used.

  Therefore, in this embodiment, the small-diameter lock member 100 is divided into 10 stages (0 to 2.0 mm, 2.0 mm to 4.75 mm, 4.75 mm to 9.5 mm, 9.5 mm to 19 mm, 19 mm to 26.5 mm, 26.5 mm to 37.5 mm, 37.5 mm to 53 mm, 53 mm to 75 mm, 75 mm to 125 mm, 125 mm to 300 mm).

  First, as shown in the cross-sectional view of the three-dimensional surface shape data in the small-diameter lock member 100 of FIG. 10, the volume from the conveying surface of the conveyor belt 4 to the height corresponding to each of the nine optimum threshold values (L1 to L9) 11 and the ratio to the total volume is calculated as the product passage rate (image volume ratio). Here, the nine optimum thresholds (L1 to L9) are determined by a particle size test by screening of aggregates (“Granularity-containing ground material particle size test method (JGS0132-2009)” and “Soil The particle size test method (JIS A 1204: 2009) ") is set in advance so as to be a numerical value corresponding to each of a plurality of sieves having different openings.

  That is, when the small-diameter lock material 100 is screened in the particle size test by the above screening, the accumulation pass rate (image volume ratio) calculated by each of the nine optimum threshold values (L1 to L9) is 2.0 mm, 4.75 mm sieve, 9.5 mm sieve, 19 mm sieve, 26.5 mm sieve, 37.5 mm sieve, 53 mm sieve, 75 mm sieve and 125 mm sieve so that it is the same or approximate numerical value. , Nine optimum threshold values (L1 to L9) are set. As described above, since the small-diameter lock member 100 is adjusted to be 300 mm or less, L10 indicates 300 mm.

  As a result, each of the sieves employed in the case of performing a particle size test using a sieve was obtained on a logarithmic scale on the horizontal axis, and at each of the nine optimum threshold values (L1 to L9) corresponding to the sieves. The particle size distribution curve (image volume ratio) drawn on the graph with the arithmetic scale on the vertical axis, with the accumulation pass rate (image volume ratio) as the cumulative pass rate (wet weight ratio) of each sieve, The particle size distribution curve (wet weight ratio) of the material 100 is estimated.

  As described above, the particle size distribution curve (wet weight ratio) of the entire small-diameter lock member 100 that has passed through the conveying unit of the belt conveyor device 5 at the terminal device 11 at the time when the operation of acquiring the three-dimensional surface shape data is completed. It is possible to make an estimation instantly and without any trouble.

  In addition, in estimating the particle size distribution curve (wet weight ratio) of the entire small diameter lock member 100, as described above, the optimum corresponding to each of a plurality of sieves having different openings used in the particle size test by screening the aggregate in advance. Perform calibration to set the threshold. The calibration procedure will be described below.

<Calibration: First step>
First, the entire amount of the small-diameter lock material 100 collected from the test pit before the rise, or a part of the sampled material, is rolled out from the hopper 2 of the three-dimensional image processing facility 1 to the conveyor belt 4 via the belt feeder 3. Then, as shown in FIG. 11A, the small-diameter locking material 100 that has passed through the imaging target region of the 3D line laser camera is referred to as a small-diameter locking material sample group 110, and the three-dimensional surface shape of the small-diameter locking material sample group 110. Get the data.

  Note that the small-diameter rock material sample group 110 only needs to satisfy the minimum preparative amount specified in JIS A1201 as a guide for the samples required for one test when the soil particle size test is performed.

<Calibration: Second step>
Next, the total volume of the small-diameter lock material sample group 110 is measured by the terminal device 11 from the three-dimensional surface shape data acquired in the first step, and the small-diameter lock material from the conveying surface of the conveyor belt 4 to the specified height. The volume of the sample group 110 is measured. Thereafter, as shown by the broken line in FIG. 11B, the specified height is set every 0.5 mm, the volume from the conveying surface to each specified height is measured, and the volume for each specified height with respect to the total volume. Is calculated as a product passage rate (image volume ratio).

<Calibration: Third step>
While carrying out the first and second steps, a “grain size test method for ground material containing stones (JGS0132-2009)” and “soil particle size test method (JIS A 1204) for the small-diameter rock material sample group 110. : 2009) "is carried out to prepare a particle size distribution curve (wet weight ratio).

<Calibration: Fourth step>
In each of the plurality of sieves having different openings used in the third step, the accumulation passing rate (wet weight ratio) and the specified heights each changed in height by 0.5 mm calculated in the second step The accumulation pass rate (image volume ratio) is compared. Then, select the specified height of the accumulated passage rate (image volume ratio) when the accumulated passage rate (wet weight ratio) and the accumulated passage rate (image volume ratio) of each sieve are the same or approximate. Each specified height (X1 to X9) is set as an optimum threshold (L1 to L9) corresponding to each of a plurality of sieves.

  For example, the cumulative passage rate (wet weight ratio) of the 9.5 mm sieve and the cumulative passage rate (image volume ratio) when the specified height from the conveying surface of the conveyor belt 4 is 8.5 mm are the same or approximate. If so, the optimum threshold value L3 corresponding to the 9.5 mm sieve is set to 8.5 mm. This operation is performed for all nine types of sieves, and the optimum threshold value corresponding to each sieve is set.

  The optimum thresholds (L1 to L9) corresponding to each sieve may be set by the above procedure, but the first to fourth steps are performed in order to improve the accuracy of the optimum threshold. The number of small-diameter lock material sample groups 110 sampled from the small-diameter lock material 100 may be increased by repeating the work to be performed a plurality of times, and an optimum threshold may be set from the multiple small-diameter lock material sample groups 110.

  Specifically, only n new small-diameter locking material sample groups 110 are collected from the small-diameter locking material 100 before the rise, and the operations for performing the above-described first to fourth steps are performed with n small-diameter locking material samples. It implements for each group 110 and creates a histogram from the optimum threshold values (L1 to L9) calculated for each small diameter lock material sample group 110. Then, after calculating both the mode value and the median value from the histograms of the optimum threshold values (L1 to L9) created for each sieve, the mode value close to the median value is adopted.

  Thus, X1 mm, X2 mm,... X9 mm selected as the mode value among a plurality of specified heights set every 0.5 mm from the conveying surface of the conveyor belt 4 are respectively 2.0 mm sieve, 4.75 mm sieve,. Adopted for each of the optimum threshold values (L1 to L9) of the 125 mm sieve, the particle size distribution curve (wet weight ratio) of the small diameter lock member 100 is estimated. In addition, what is necessary is just to implement said calibration before starting a rise.

  Thereby, the particle size distribution curve (wet weight ratio) of the small-diameter lock material 100 is estimated from the image analysis of the three-dimensional surface shape data by a simple on-site operation in which the small-diameter lock material 100 is only rolled out on the conveying surface of the conveyor belt 4. be able to. Thereby, it is possible to save labor in the particle size test of the lock zone, and it is possible to greatly shorten the work time required for the particle size test.

  Further, three-dimensional surface shape data is acquired for the entire amount of the small-diameter lock material 100 supplied to the conveying surface of the conveyor belt 4, and a particle size distribution curve (wet weight ratio) of the small-diameter lock material 100 is obtained by image analysis of the three-dimensional surface shape data. ) Is estimated, it is combined with the particle size distribution curve (wet weight ratio) of the large-diameter lock material 200 obtained in the particle size test by sieving, so that the particle size distribution curve (wet weight ratio) of the lock material R as a whole is accurate. It is possible to obtain it quickly and well.

  Furthermore, since the accumulated passage rate (wet weight ratio) obtained in the particle size test by sieving is reflected in the setting of the optimum threshold (L1 to L9), the three-dimensional surface shape using the optimum threshold (L1 to L9) The particle size distribution curve (wet weight ratio) of the small-diameter lock material 100 estimated from the particle size distribution curve (image volume ratio) by data image processing can ensure the same level of accuracy as when a particle size test by sieving is performed. It becomes.

<Second Embodiment>
The small-diameter locking material 100 having a sieve having passed through a 75 mm sieve estimates the particle size distribution curve (wet weight ratio) by image analysis using the three-dimensional image surface shape data described below. Here, if the small diameter lock material 100 is one that has passed through a 75 mm sieve among the lock materials R, the particle size distribution curve (with respect to the same range as the application range of “Soil particle size test method” (JIS A 1204: 2009) ( A wet weight ratio) estimation method can be applied.

  In the second embodiment, the small-diameter lock member 100 is divided into 8 stages (0 to 2.0 mm, 2.0 mm to 4.75 mm, 4.75 mm to 9.5 mm, 9.5 mm to 19 mm, 19 mm to 26). .5 mm, 26.5 mm to 37.5 mm, 37.5 mm to 53 mm, 53 mm to 75 mm), and a method for estimating the particle size distribution curve (wet weight ratio) of the small-diameter locking material 100 is described in detail below. Describe.

  The terminal device 11 performs image processing from the three-dimensional surface shape data acquired by the three-dimensional image processing facility 1 described above, and extracts a circumscribed cuboid 102 as shown in FIG. 12 for each stone particle 101 of the small-diameter locking material 100. In addition, the length of each of the three orthogonal axes is obtained, and the intermediate length of these three axes is set as the medium diameter b, which is set as the particle diameter of the stone particles 101.

  Specifically, first, an axis that is parallel or orthogonal to the conveying surface of the conveyor belt 4 in the stone particle 101 and has the maximum outer diameter is detected, and the length is set as the major axis a. Next, the axis that is orthogonal to the axis having the major axis a and has the largest outer diameter is detected, and the length is set as the medium diameter b. Finally, an axis that is orthogonal to each of the axis having the major axis “a” and the axis having the middle diameter “b” and having the maximum outer diameter is detected, and the length is defined as the minor axis “c”. Thereby, the circumscribed rectangular parallelepiped 102 is determined for each stone particle 101, and the medium diameter b of the stone particle 101 is calculated.

  Here, the method of extracting the dimensions of the long diameter a, the medium diameter b, and the short diameter c from the stone particles 101 and setting the maximum particle diameter at this time to the medium diameter b is “a particle size test method for ground material containing stone ( JGS0132-2009) ”. That is, setting the medium diameter b to the particle diameter of the stone particles 101 by the above method means that the same work as the particle size test using a screen by human power is performed. Therefore, when the particle size distribution curve (wet weight ratio) of the small-diameter rock material 100 made of stone particles 101 that has passed through a 75 mm sieve is estimated according to the second embodiment, a “soil particle size test method” (JIS A 1204: 2009). It can be assumed that results similar to those obtained when sieving based on) are obtained.

  By the way, the profile data P of the small-diameter lock member 100 imaged by the 3D line laser camera 6 transmitted to the terminal device 11 is an optically cut image as shown in FIG. When 101 is close as shown in FIG. 13A or overlapped, it is difficult to discriminate stone particles 101 individually. Accordingly, image analysis of the three-dimensional surface shape data is performed, and as shown in FIGS. 13A and 13B, the slice image of the stone particle 101 sliced so as to be parallel to the conveying surface of the conveyor belt 4 is in the height direction. After obtaining a plurality of slice images and binarizing each slice image, an edge extraction processing method or segmentation processing method such as a Labran is performed as necessary.

  Thereby, the outline of the height direction can be grasped about each stone particle 101, and when adjacent stone particle 101 is approaching, stone particle 101 can be divided into one by one. For example, in the stone particle 101 shown in FIG. 13B, the slice image having the longest length is extracted from the slice images of the stone particle 101, and this is detected as the major axis a. The axis forming the major axis a is parallel to the conveying surface of the conveyor belt 4, the medium diameter b is orthogonal to the major axis a, and is parallel to the conveying surface of the conveyor belt 4, and the minor axis c is the major axis a and the middle. It is orthogonal to the diameter b and orthogonal to the conveying surface of the conveyor belt 4.

  In addition, after making the stone particle | grains 101 into one particle | grain, after calculating | requiring the gravity center (three-dimensional) of particle | grains, rotating 360 degree | times centering | focusing on a gravity center, and calculating | requiring a cross-sectional secondary moment, long diameter a and medium diameter b And the minor axis c may be obtained.

  The volume of the circumscribed cuboid 102 determined for each stone particle 101 is calculated together with the step of calculating the medium diameter b of each stone particle 101 from the three-dimensional surface shape data by the above method. This operation is performed on all the stone particles 101 of the small-diameter lock member 100, and the volume ratio of the small-diameter lock member 100 to the entire volume is obtained for each particle size. By considering the volume ratio for each particle size as the weight ratio for each particle size, the particle size distribution curve (wet weight ratio) of the small-diameter lock member 100 is estimated based on the three-dimensional surface shape data.

  In addition, when specific gravity differs for every particle diameter, you may correct | amend each time. Further, the axis parallel to the conveying surface of the conveyor belt 4 is not necessarily the same direction as the conveying direction of the conveyor belt 4. For example, in FIG. 12 and FIG. 13B, the axis forming the major axis “a” is inclined in the horizontal direction by α ° with respect to the conveying direction of the conveyor belt 4.

  Furthermore, in the second embodiment, the entire volume of the small-diameter lock member 100 includes the lower end surface formed by the conveying surface of the conveyor belt 4 and the profile data P in the length range of the small-diameter lock member 100 in the moving direction of the conveyor belt 4. Although the total volume of the area surrounded by the upper end surface is adopted, it is not necessarily limited to this. For example, the entire volume of the small-diameter lock member 100 may be obtained by adding all the volumes of the circumscribed rectangular parallelepiped 102 set for each stone particle 101.

  In addition, the terminal device 11 incorporates an image processing algorithm for performing these analyzes in a storage device, and these operations can be performed instantaneously by the arithmetic processing unit of the terminal device 11. Further, the particle size of the stone particles 101 may be a particle size parameter such as a circle equivalent diameter (equivalent volume sphere equivalent diameter, equivalent surface area sphere equivalent diameter), ferret diameter, or the like.

  The quality control method of the rock zone in the rock fill dam of the present invention is not limited to the first embodiment and the second embodiment, and various modifications can be made without departing from the spirit of the present invention. Needless to say.

  For example, in the present embodiment, in the three-dimensional image processing facility 1, the belt conveyor device 5 is employed as a conveying device that conveys the small-diameter locking material, but the present invention is not necessarily limited thereto. As shown in FIG. 14, the conveyance table 12 in which a plurality of rollers 121 are arranged in parallel, the plate-shaped conveyance plate 13 placed on the roller 121 of the conveyance table 12, and the imaging target region in the dark room 7 are constant. You may use the conveying apparatus provided with the moving apparatus (not shown) for moving the conveying plate 13 on the roller 121 so that it may pass at the speed of. If it carries out like this, while being able to achieve size reduction of the three-dimensional image processing equipment 1, it becomes possible to reduce an installation cost significantly.

  In the present embodiment, the carriage 12 is provided with a drive source so that the roller 121 rotates at a constant speed, and the conveyance plate 13 is moved by the rotation of the roller 121. However, the present invention is not limited to this. . For example, the conveyance plate 13 may be moved by any means such as manually moving the conveyance plate 13 or pulling the conveyance plate 13 with a separately prepared traction device or the like. It is recommended to use a roller equipped with an encoder that can measure speed. In this way, since the speed of the transport plate 13 passing through the imaging target region can be accurately grasped, the three-dimensional surface shape data of the small-diameter lock member 100 can be obtained with high accuracy by the 3D line laser camera 6.

  Further, the type of the locking material R, the particle size to be classified, the quantity of classification, etc. are not limited to the first embodiment and the second embodiment, and any locking material R may be used. Further, it may be classified to any particle size.

  Furthermore, in the present embodiment, the case where the maximum particle size of the small-diameter lock member 100 is about 300 mm or about 75 mm is given as an example, but the present invention is not necessarily limited thereto, and for example, the maximum particle size is about 125 mm. You may adjust the small diameter locking material 100 so that it may become.

  Moreover, in this Embodiment, as shown in FIG.4 and FIG.5, although it measures also about the thing with a particle size of 2 mm or less among the small diameter locking materials 100, it does not necessarily need to measure. Alternatively, a material having a diameter of 2 mm or less may be screened from the small-diameter lock member 100, and the material having a diameter of 2 mm or less may be classified according to “Soil Grain Size Test Method (JIS A 1204: 2009)”.

DESCRIPTION OF SYMBOLS 1 3D image processing equipment 2 Hopper 3 Belt feeder 4 Conveyor belt 5 Belt conveyor apparatus 3 3D line laser camera 61 Laser projection part 62 Camera lens 7 Dark room 71 Frame 72 Dark curtain 8 Side frame 9 Impact bar 10 Vibration suppression apparatus 11 Terminal apparatus 12 Transport stand 121 Roller 13 Transport plate 100 Small diameter lock material 101 Stone particle 102 circumscribed cuboid 110 Small diameter lock material sample group 200 Large diameter lock material 300 Test hole 310 Sheet 320 Water R Lock material L Laser linear light

Claims (3)

In a rock fill dam where a lock material is sampled from the raised surface of the lock zone, a test hole is provided, a density test is performed using the test hole, and a particle size test is performed using the sampled lock material A lock zone quality control method,
The particle size test is carried out after classifying the lock material whole amount into a large diameter lock material and a small diameter lock material by sieving,
The particle diameter test of the small-diameter lock material is obtained by acquiring the three-dimensional surface shape data by imaging the entire amount of the small-diameter lock material rolled out on the conveying surface that is continuously conveyed with a 3D line laser camera. A quality control method for a rock zone in a rock fill dam, wherein a particle size distribution curve (wet weight ratio) of the small diameter rock material is estimated based on three-dimensional surface shape data. In the quality control method of the rock zone in the rock fill dam according to claim 1,
A particle size test is performed by screening using a sample obtained from a lock material before being built in advance, and an accumulation pass rate (wet weight ratio) for each of the sieves with different openings and an optimum threshold value corresponding to each sieve are set. As well as
From the three-dimensional surface shape data, the ratio of the volume from the conveying surface of the conveyor belt to the height corresponding to each of the optimum threshold values with respect to the total volume of the small-diameter lock member was calculated as a product passage rate (image volume ratio). rear,
The particle size distribution curve (wet weight ratio) of the small-diameter lock material group is estimated by using the accumulated passage ratio (image volume ratio) as the accumulated passage ratio (wet weight ratio) of the sieve having the optimum threshold set. A quality control method for a rock zone in a rockfill dam characterized by the above. In the quality control method of the rock zone in the rock fill dam according to claim 1,
For each stone particle forming the small diameter rock material from the three-dimensional surface shape data, a circumscribed cuboid is extracted, and the length and volume of each of the three orthogonal axes of the circumscribed cuboid are calculated,
The intermediate length of the length of each of the three axes is regarded as the particle size of the stone particles, and the volume is regarded as the weight of the stone particles, and the particle size distribution curve (wet weight ratio) of the small-diameter lock material is calculated. A method for quality control of a rock zone in a rockfill dam characterized by estimating.