A dam structure hidden danger grouting effect detection and evaluation device and method

Abstract

The present application relates to a kind of dam structure hidden danger grouting effect detection and evaluation device and method, with the slurry containing luminous agent and reflective agent is grouted to the disease area until the slurry solidifies after drilling;With the observation device of multispectral camera is inserted into hole, multispectral image under different depths is continuously collected, and multispectral image data is obtained;The spectral reflectance of different waveband multispectral image is obtained;Different waveband multispectral image data is calculated simultaneously, and slurry filling area and slurry non-filling area are identified, and the number of pixels in slurry filling area and slurry non-filling area is counted respectively;The stone quality of grouting is determined according to the spectral reflectance of different waveband multispectral image, and the filling effect of grouting is determined according to the proportion of slurry filling area pixel number;Grouting effect is determined based on filling effect and stone quality.The present application relates to the slurry containing luminous agent and reflective agent, filling degree and stone quality are analyzed in combination with multispectral image, and grouting effect can be effectively reacted.

Description

Technical Field

[0001] This invention belongs to the field of engineering structure repair and testing, specifically relating to a device and method for detecting and evaluating the grouting effect of hidden dangers in dam structures. Background Technology

[0002] Dam structures are often affected by internal seepage, which weakens their safety and stability. Grouting technology is an important measure to improve the internal quality of engineering structures. By using cementitious materials with a certain ratio to fill the holes, cracks and other defects inside the dam structure, a seepage-proof entity is formed, thereby reinforcing the dam.

[0003] Currently, borehole television and core drilling methods are commonly used to qualitatively describe the grouting effect, with permeability tested using water pressure tests as an evaluation index for grouting quality. However, borehole television and core drilling methods observe the grouting effect using visible light, which has limited resolution and lacks corresponding evaluation indicators. Using permeability from water pressure tests as the sole evaluation index makes it difficult to provide an objective and comprehensive assessment, and it fails to fully consider soil structural characteristics and crack distribution. Furthermore, the continuity of the grouting surface and the quality of grout formation are not significantly related to the water pressure test results. While a combination of these three methods can be used to evaluate the grouting effect, the correlation between the three methods is poor, making it difficult to jointly assess the filling characteristics and the quality of the grout formation. Therefore, a complete testing and evaluation method is needed to evaluate the grouting effect of dam structures. Summary of the Invention

[0004] The purpose of this invention is to overcome the problems existing in the prior art and provide a method for detecting and evaluating the grouting effect of potential structural hazards in dams.

[0005] To achieve the above technical objectives, the present invention adopts the following technical solution:

[0006] A method for detecting and evaluating the effectiveness of grouting for potential structural defects in dams, comprising:

[0007] Add luminescent and reflective agents to the grout, and after the grout has solidified, drill holes at the grouting site.

[0008] An observation device equipped with a multispectral camera is inserted into the hole to continuously acquire multispectral images at different depths and obtain multispectral image data.

[0009] The spectral reflectance of multispectral images in different bands is obtained; clustering calculations are performed on the multispectral image data in different bands to identify slurry-filled areas and slurry-unfilled areas, and the number of pixels in slurry-filled areas and slurry-unfilled areas are counted respectively.

[0010] The quality of the grouting stones is determined by the spectral reflectance of multispectral images in different bands, and the filling effect of the grouting is determined by the proportion of pixels in the grout filling area. The grouting effect is determined by combining the filling effect and the quality of the stones.

[0011] In a preferred embodiment, the effective component of the luminescent agent is unsaturated polyester resin, and its addition amount is 15-25% of the cement content in the slurry; the effective component of the reflective agent is sodium stilbene biphenyl disulfonate, and its addition amount is 5-15% of the cement content in the slurry.

[0012] In a preferred embodiment, the added luminescent and reflective agents, by weight, consist of the following components:

[0013] Glycerin: 19-27 parts; Polyethylene polypropylene oxide: 32-45 parts; Unsaturated polyester resin: 80-180 parts; Rhodamine B: 120-225 parts; Sodium stilbene biphenyl disulfonate: 64-90 parts.

[0014] This invention enhances the display resolution of features after the grout fills cracks and pores by adding a certain proportion of a luminescent agent and a reflective agent composition to existing grout without altering the original grout's strength, fluidity, or other properties. The existing grout's basic components are cement, clay, silica fume, etc., and water glass and polycarboxylate superplasticizers may also be added.

[0015] A preferred slurry composition is as follows: the cement has a strength grade of 42.5 or higher, and the cement fineness requires that the residue passing through an 80μm square-hole sieve is no more than 5%; the clay powder has a mesh size of 325, and the ratio of cement to clay is 1:1; ordinary silica fume is selected, preferably with a mesh size of 1000 and a specific surface area of ​​22000 m². 2 / kg; water glass modulus of 2.4-3.6, preferably 3.0; polycarboxylate superplasticizer in liquid form; temperature of pulping water not exceeding 40℃, preferably 20℃-25℃; unsaturated polyester resin selected as liquid transparent resin; sodium stilbene biphenyl disulfonate particle size less than 1μm; rhodamine B mesh size less than 300 mesh, content >95%; polyethylene polyoxypropylene viscosity 270-350mPa - s, content >95%; glycerol density >1.26g / mL (5℃); content >99.5%.

[0016] As a preferred embodiment, the method for adding luminescent and reflective agents to the slurry is as follows:

[0017] First, mix the gel material components in the slurry, including cement, and use a mixer to keep the mixed gel material flowing;

[0018] Prepare a mixture of luminescent and reflective agents, including the active ingredients and solvents, and stir it with a mixer to ensure thorough dissolution and mixing;

[0019] After mixing the gel material, luminescent agent, and reflective agent, water glass and polycarboxylate superplasticizer are added, stirred, sieved, and then fed into the circulating grouting equipment for grouting.

[0020] The grouting solution containing luminescent and reflective agents is prepared using an automated grouting system. After mixing the two grouts, water glass and polycarboxylate superplasticizer are added and stirred for at least 30 seconds. Then, the solution is sieved, the temperature is measured, and the solution is fed into a circulating grouting equipment for grouting. The time from the start of grout preparation to its use should be less than 4 hours.

[0021] In a preferred embodiment, the observation device is bullet-shaped with a cable connector at its top, which is connected in sequence to a cable control device and a data processing device via a communication cable; the cable control device controls the lowering and retraction of the cable, and the data processing device acquires multispectral image data captured by the observation device and performs subsequent data processing.

[0022] The middle section of the observation device is equipped with a ring light source, a multispectral camera, and a telescopic arm structure from top to bottom; the telescopic arm structure fits into the hole wall.

[0023] In one preferred embodiment, the arm extension structure consists of a slide groove, a support rod, and a rotating wheel;

[0024] The rotating wheel has a crossbar on its central shaft, and the two ends of the crossbar on the rotating wheel are respectively connected to the support rods at each end by a rotary hinge;

[0025] The slide groove is equipped with a slider and a spring, and the support rod is connected to the slider.

[0026] The chute is installed on the observation device, and the rotating wheel is in contact with the hole wall.

[0027] In a preferred embodiment, the spectral reflectance of multispectral images in different bands is obtained by converting the grayscale values ​​of the image after grayscale conversion.

[0028] As a preferred embodiment, the method for identifying grout-filled areas and grout-unfilled areas is as follows:

[0029] A preset threshold range for pixel values ​​in the slurry filling area is defined, and pixels whose values ​​fall within this threshold range are extracted, i.e., the filling pixels.

[0030] A preset pixel threshold for the diseased area is used to extract pixels smaller than the pixel threshold, which are the diseased pixels.

[0031] The ratio of the number of filled pixels to the total number of filled pixels and defective pixels is defined as the filling degree, which is used to evaluate the filling effect of grouting.

[0032] As a preferred implementation, the quality of slurry stones is evaluated numerically based on spectral reflectance.

[0033] Another objective of this invention is to provide a device for detecting and evaluating the grouting effect of potential structural hazards in dams, comprising an observation device, a cable control device, and a data processing device;

[0034] The observation device is bullet-shaped with a cable connector at its top, which is connected to a cable control device via a communication cable. The cable control device controls the lowering and retrieval of the cable. The data processing device acquires multispectral image data captured by the observation device and performs subsequent data processing. The observation device extends into the grouting area to complete the observation hole formed by drilling at the grouting location.

[0035] The observation device is equipped with a ring light source, a multispectral camera, and a telescopic arm structure from top to bottom in the middle section; the telescopic arm structure fits into the borehole wall.

[0036] The telescopic arm structure consists of a sliding groove, a support rod, and a rotating wheel. A crossbar is mounted on the central shaft of the rotating wheel, and both ends of the crossbar are connected to the support rods via rotary hinges. A slider and a spring are installed within the sliding groove, and the support rod connects to the slider. The sliding groove is mounted on the observation device, and the rotating wheel conforms to the borehole wall. The telescopic arm structure can adapt to changes in borehole diameter along the depth direction, ensuring stable movement of the observation device throughout the acquisition process. When the borehole diameter decreases at a certain depth, the rotating wheel depresses, and the crossbar on the rotating wheel drives the support rod via the rotary hinge, pushing the slider and compressing the spring. When the borehole diameter increases at a certain depth, the spring recovers, the slider drives the support rod to move, lifting the crossbar and causing the rotating wheel to spring back, continuing to conform to the borehole diameter.

[0037] In a preferred embodiment, the cable control device can be adjusted to different speed levels. The data acquisition software in the data processing device also has a positioning function.

[0038] In a preferred embodiment, the ring light source is an ultra-wideband LED light source. This provides sufficient light intensity to allow for the acquisition of signals across a wider range of wavelengths.

[0039] In a preferred embodiment, the multispectral camera is a panoramic multispectral camera, which quickly acquires reflected light data from different depths in the inspection hole at 360 degrees.

[0040] The present invention has the following beneficial effects:

[0041] 1. By adding luminescent and reflective agents to the grout, a grouting solution with luminescent and reflective properties is obtained. The added luminescent agent increases the brightness of the reflection space, while the added reflective agent enhances the reflectivity of the grouting solution under light source illumination. The increased brightness and intensity of the light make the filling characteristics of the grout clearer and distinguish it from unfilled non-disease areas. Through cluster analysis of images at different wavelengths, grouting cracks as small as 0.1 mm can be effectively identified. Furthermore, the added luminescent and reflective agents do not affect the original application performance of the grout.

[0042] 2. For the observation of the filling effect of the newly prepared grouting solution, a stable walking automatic control observation device was designed to be applicable to different apertures and multiple wavelengths. The observation device can adapt to different inspection apertures and automatically and stably walk to collect signals of different reflection bands at different observation speeds, and can be located in real time.

[0043] 3. Based on pixel calculation of signals in different reflection bands, a filling degree index for grouting effect is established, which can quantitatively describe the filling characteristics of grout. A quality evaluation index for grout stone based on spectral reflectance is established. The higher the spectral reflectance, the better the quality of grout stone. When both the filling degree and spectral reflectance value reach excellent, the grouting effect of dam structural defects is the best. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of dam grouting, where: 1-1 is the observation device; 1-2 is the communication cable; 1-3 is the cable control device; and 1-4 is the data processing device.

[0045] Figure 2 A schematic diagram of the specific structure of observation device 1-1, wherein: 2-1 is a cable connector; 2-2 is the outer wall protection structure of the observation device; 2-3 is a panoramic multispectral camera; 2-4 is a ring light source; and 2-5 is a protective telescopic structure.

[0046] Figure 3 The diagram shows the specific structure of the wall-mounted telescopic structure 2-5, where: 3-1 is the sliding groove; 3-2 is the spring; 3-3 is the slider; 3-4 is the support rod; 3-5 is the rotating hinge; and 3-6 is the rotating wheel.

[0047] Figure 4 This is a flowchart for evaluating the grouting effect.

[0048] Figure 5 This is a diagram showing the result of ordinary grouting under natural light.

[0049] Figure 6 Image showing the grouting results of freshly prepared slurry, captured by a multispectral camera.

[0050] Figure 7 A schematic diagram of core samples from different sections of the borehole for inspection.

[0051] Figure 8 This is a diagram showing the clustering calculation results for the grouting area.

[0052] Figure 9 This is a diagram showing the clustering calculation results for the ungrouted areas.

[0053] Figure 10 This is a diagram showing the results of localized cracks in the grouting area. Detailed Implementation

[0054] Example 1

[0055] This embodiment further elaborates on the implementation of the method of the present invention.

[0056] (1) Prepare grout containing luminescent and reflective agents;

[0057] The active ingredient of the luminescent agent is unsaturated polyester resin, and its addition amount is 15-25% of the cement content in the slurry. The active ingredient of the reflective agent is sodium stilbene biphenyl disulfonate, and its addition amount is 5-15% of the cement content in the slurry.

[0058] The original grouting slurry contained conventional gelling materials such as cement, silica fume, and clay. Water glass and polycarboxylate superplasticizer were added during the slurry preparation process.

[0059] In this embodiment, the added luminescent and reflective agents, by mass, consist of the following components:

[0060] Glycerin: 19-27 parts; Polyethylene polypropylene oxide: 32-45 parts; Unsaturated polyester resin: 80-180 parts; Rhodamine B: 120-225 parts; Sodium stilbene biphenyl disulfonate: 64-90 parts.

[0061] During grout preparation, the gel material components in the grout, including cement, are first mixed, and the mixed gel material is kept flowing by a mixer. Then, the luminescent agent and luminescent agent additives are stirred by a mixer to fully dissolve and mix them. Finally, the mixture of gel material, luminescent agent and reflective agent is mixed, and water glass and polycarboxylate superplasticizer are added, stirred, sieved, and then put into the circulating grouting equipment for grouting.

[0062] (2) After the grouting of the diseased area is completed and the grout solidifies, drill holes at the grouting site; insert the observation device equipped with a multispectral camera into the hole to continuously collect multispectral images at different depths and obtain multispectral image data.

[0063] (3) Obtain the spectral reflectance of multispectral images in different bands; simultaneously perform clustering calculations on multispectral image data in different bands to identify grout-filled areas and grout-unfilled areas, and count the number of pixels in grout-filled areas and grout-unfilled areas respectively; determine the quality of grouting stones based on the spectral reflectance of multispectral images in different bands, and determine the filling effect of grouting based on the proportion of pixels in grout-filled areas; determine the grouting effect based on the filling effect and the quality of grouting stones.

[0064] In this embodiment, it is assumed that the acquired high-definition image X contains x1, x2, ... x i …x n The image set of the band, i.e., X = {x1, x2, ... x} i …x n}, where x i The image of the i-th band consists of m×n pixels;

[0065] Then, based on the unique RGB pixel value range of each band image, the images of each band are clustered. Clustering can be implemented using existing machine learning methods; this application uses the existing support vector machine method for multi-class recognition. The common factor of the clusters is used as the threshold T. i Segmentation of images with different reflection wavelengths;

[0066] Assume the pixel threshold range of the reflectance feature image of the slurry-filled area is [T]. m ,T k If the pixel threshold value is within the specified range, the image pixels remain unchanged; if the pixel threshold value is outside the specified range, the pixel threshold value is set to 0. The pixel threshold range for diseased areas (unfilled areas) is as follows: <T b If the pixel is greater than T b The image set pixel is set to 255, which is less than T. b The image set pixels remain unchanged;

[0067] Based on the clustering results of various reflection wavelength feature images, slurry-filled areas and unfilled areas are effectively distinguished. Statistical methods are then used to determine the threshold range [T] of the feature images of the slurry-filled areas. m ,T k The number of pixels N within ] j and pixel threshold of diseased area (unfilled area) <T b Number of pixels N b Based on statistical results, a filling characteristic index—F—was established as an evaluation index for grouting effect. c :

[0068]

[0069]

[0070]

[0071] Based on the filling degree value, the grouting effect is evaluated and divided into 5 grouting effect levels, as shown in Table 1:

[0072] Table 1 Evaluation of Grouting and Filling Effect

[0073]

[0074] The multispectral camera has high sensitivity to multiple wavelengths, and the grouting area appears in different colors, representing the most sensitive reflection wavelength range for that grouting area; among them, red has the longest wavelength and violet has the shortest wavelength; the more grout filling the grouting area, the wider and longer the reflection wavelength range due to the presence of reflective agents in the grout; the less grout filling the grouting area, the narrower and shorter the reflection wavelength range; the wavelength range corresponding to the grout filling amount from most to least is: infrared light > red light > ... blue light > ... > violet light > ... > ultraviolet light;

[0075] Assuming different RGB image bands x i After grayscale conversion, the grayscale value of pixel (x,y) is HD. i (x,y), determined by the object's spectral reflectance R i (x,y) and wall surface irradiance FZ i (x,y) is calculated as follows:

[0076] HD i (x,y)=R i (x,y)*FZ i (x,y)

[0077] Taking the logarithm of both sides of the equation, considering reflections across multiple wavelength bands, and adding the average pixel value P(x,y) of image X...

[0078] log R i (x,y)=log HD i (x,y)-log FZ i (x,y)+P(x,y)

[0079] in:

[0080]

[0081]

[0082] The spectral reflectance R corresponding to different wavelengths of the grouting area image is calculated based on pixels. i (x,y), then from the spectral reflectance R i (x,y) represents the assessment of the stone quality of the slurry; the higher the reflectivity of different wavelengths, the higher the quality of the slurry stone, as shown in Table 2 below:

[0083] Table 2 Quality Assessment of Sediment Stones

[0084]

[0085] Example 2

[0086] The grout formula of this embodiment is shown in Table 3, wherein the cement:clay (mass ratio) of the grout is 1:1 and the water-cement ratio is water:cement (mass ratio) is 1:1.

[0087] Table 3 shows the raw material ratio of the grouting slurry in Example 2.

[0088]

[0089] The slurry is prepared in an automatic mixing system, which is divided into three mixing tanks. The first mixing tank is responsible for preparing the cementitious material composed of cement, clay and silica fume. The slurry is mixed for 7 minutes by a mixer to make it uniform.

[0090] The second micro-stirring tank is responsible for the preparation of luminescent and reflective agents. Glycerin, polyethylene, polypropylene oxide and water are used as solvent matrix, and luminescent agent Rhodamine B, light stabilizer unsaturated polyester resin and fluorescent whitening agent sodium stilbene biphenyl disulfonate are added. The mixture is stirred for 5 minutes to fully dissolve the solutes.

[0091] Finally, the two parts of grout are injected into the third mixing tank for mixing. Water glass and polycarboxylate superplasticizer are added and stirred for 5 minutes to ensure uniform mixing of the grout. The mixed grout is then sieved, its temperature is measured, and it is pumped into the circulating grouting system for continuous grouting.

[0092] For areas where grouting has been completed, appropriate inspection holes should be installed 28 days later to test and evaluate the grouting effect; such as Figure 1 As shown, under the control of the cable control device 1-3, the observation device 1-1 enters the inspection hole through the uniform lowering of the communication cable 1-2. The collected signal is transmitted to the signal processing device 1-4 in real time through the communication cable 1-2, and the signal position is located in real time by the lowering speed and the collection time of the communication cable 1-2.

[0093] When the observation device moves through the inspection hole, such as Figure 2 As shown, a ring light source 2-4 provides the light source, and a panoramic multispectral camera 2-3 collects signals of different bands in the aperture. The data is transmitted to the signal processing device 1-4 via the cable interface 2-1.

[0094] The results acquired by the multispectral camera under the newly configured grout filling were clustered and calculated by signal processing device 1-4, such as... Figure 6 As shown, the results of observation are compared with those of traditional ordinary grouting. Figure 5This allows for a clear acquisition of the grout filling characteristics during grouting.

[0095] After clustering the pixel sets of images with different reflection wavelengths, a reasonable threshold range is set. By statistically calculating the pixels within the threshold range (using the calculation formula in Example 1), the filling characteristic index Fc of the grout in this example is 0.994, and the filling effect of the grout on the defects in the dam is excellent.

[0096] Example 3

[0097] like Figure 4 The grouting effect testing and evaluation process shown involves preparing a freshly made grouting solution and grouting the affected areas of the embankment. Twenty-eight days after grouting, drilling is performed using a light drilling rig. Figure 7 As shown, observation of borehole core samples reveals that, under multispectral camera illumination, compared to the ungrouted area, the filling characteristics of the grout in the grout-filled area are clearly visible, and the integrity of the soil core samples in the grout-filled area is better.

[0098] After preparing the inspection hole, as follows Figure 2 As shown, a protective wall telescopic structure 2-5 is installed on the outer wall protective structure 2-2 of the observation device 1-1; wherein the protective wall telescopic structure 2-5 is as follows: Figure 3 As shown, for different inspection hole diameters, a suitable fixed rotating wheel 3-6 is installed on the support rod 3-4 to ensure smooth contact between the rotating wheel 3-6 and the inspection hole wall, thus ensuring stable signal acquisition. Then, the observation device 1-1 is placed into the inspection hole. Through the movement of the slider 3-3 in the groove 3-1 of the protective wall telescopic structure 2-5, the extension and retraction of the spring 3-2, and the rotation of the rotating hinge 3-5, the observation device 1-1 is always in stable contact with the inspection hole wall, adapting to the slight changes in the diameter of different hole sections in the inspection hole.

[0099] like Figure 1 As shown, through continuous data collection in the borehole using observation device 1-1, and after clustering the collected data, a reasonable threshold range is set to obtain the following results: Figure 8 The grouting area feature image shown and as follows Figure 9 The feature image of the ungrouted area shown is obtained by statistically calculating the pixels in the two images (using the calculation formula in Example 1). The grouting filling feature evaluation index Fc = 0.923 is obtained, which shows that the filling effect of the defects in the inspection hole is excellent.

[0100] like Figure 10As shown, magnifying the local grouting area reveals different reflection wavelengths at different locations within the crack. After converting the images of different wavelength bands to grayscale, the spectral reflectance R for each wavelength was calculated. The quality of the grout formation in the grouting area was evaluated based on the calculated reflectance R. The calculated reflectances for wavelengths in the ranges of 0.45–0.52 μm (blue light), 0.52–0.60 μm (green light), and 0.63–0.69 μm (red light) were 0.42, 0.46, and 0.403, respectively. Since the reflectances are all greater than 0.4, the quality of the grout formation is excellent. Based on the filling characteristics of the grout and the evaluation of the formation quality, this grouting is rated as excellent.

Claims

1. A method for detecting and evaluating the grouting effect of potential structural hazards in dams, characterized in that, include: A luminescent agent and a reflective agent are added to the grout. After grouting of the affected area is completed and the grout has solidified, holes are drilled at the grouting site. The active ingredient of the luminescent agent is Rhodamine B, and its addition amount is 15-25% of the cement content in the grout. The active ingredient of the reflective agent is sodium stilbene biphenyl disulfonate, and its addition amount is 5-15% of the cement content in the grout. The added luminescent agent and reflective agent composition, by mass, consists of the following components: Composition: Glycerin: 19-27 parts; Polyethylene polyoxypropylene: 32-45 parts; Unsaturated polyester resin: 80-180 parts; Rhodamine B: 120-225 parts; Sodium stilbene biphenyl disulfonate: 64-90 parts; An observation device equipped with a multispectral camera is inserted into the hole to continuously acquire multispectral images at different depths and obtain multispectral image data. The spectral reflectance of multispectral images in different bands is obtained; clustering calculations are performed on the multispectral image data in different bands to identify slurry-filled areas and slurry-unfilled areas, and the number of pixels in slurry-filled areas and slurry-unfilled areas are counted respectively. The method for identifying grout-filled areas and grout-unfilled areas is as follows: A preset threshold range for pixel values ​​in the slurry filling area is defined, and pixels whose values ​​fall within this threshold range are extracted, i.e., the filling pixels. A preset pixel threshold for the diseased area is used to extract pixels smaller than the pixel threshold, which are the diseased pixels. The ratio of the number of filled pixels to the total number of filled pixels and defective pixels is defined as the filling degree, which is used to evaluate the filling effect of grouting. The quality of the grouting stones is determined by the spectral reflectance of multispectral images in different bands, and the filling effect of the grouting is determined by the proportion of pixels in the grout filling area. The grouting effect is determined by combining the filling effect and the quality of the stones.

2. The method according to claim 1, characterized in that, The method for adding luminescent and reflective agents to the slurry is as follows: First, mix the gel material components in the slurry, including cement, and use a mixer to keep the mixed gel material flowing; Prepare a mixture of luminescent and reflective agents, including the active ingredients and solvents, and stir it with a mixer to ensure thorough dissolution and mixing; After mixing the gel material, luminescent agent, and reflective agent, water glass and polycarboxylate superplasticizer are added, stirred, sieved, and then fed into the circulating grouting equipment for grouting.

3. The method according to claim 1, characterized in that, The observation device is bullet-shaped, with a cable connector at the top, which is connected to a cable control device and a data processing device in sequence via a communication cable; the cable control device controls the lowering and retrieval of the cable, and the data processing device acquires multispectral image data captured by the observation device and performs subsequent data processing. The middle section of the observation device is equipped with a ring light source, a multispectral camera, and a telescopic arm structure from top to bottom; the telescopic arm structure fits into the hole wall.

4. The method according to claim 3, characterized in that, The telescopic structure of the guard arm consists of a slide groove, a support rod, and a rotating wheel; The rotating wheel has a crossbar on its central shaft, and the two ends of the crossbar on the rotating wheel are respectively connected to the support rods at each end by a rotating hinge; The slide groove is equipped with a slider and a spring, and the support rod is connected to the slider. The chute is installed on the observation device, and the rotating wheel is in contact with the hole wall.

5. The method according to claim 1, characterized in that, The spectral reflectance of multispectral images in different bands is obtained by converting the gray values ​​after the image is converted to grayscale.

6. The method according to claim 1 or 5, characterized in that, Numerical evaluation of slurry stone quality based on spectral reflectance.

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