Automatic stone paving and image acquisition platform
By designing the automatic paving of stone and its image acquisition platform, using vibrating screens and conveyor belt systems to automatically screen and spread stones, and collecting images, the problem of shading between stones in traditional detection methods is solved, and efficient and reliable particle size detection is achieved.
Patent Information
- Application Number
- CN202421263263.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-04
- Publication Date
- 2025-04-25
- Estimated Expiration
- 2034-06-04
AI Technical Summary
Traditional stone particle size detection methods are cumbersome, time-consuming and affected by human factors, and cannot achieve rapid detection of a large amount of stone, which is difficult to meet the requirements of modern engineering construction for high efficiency.
Design a stone automatic paving and its image acquisition platform, automatically screen and spread stone through vibrating screens and conveyor belt systems, and use image acquisition equipment to collect images of stones to solve the problem of mutual shading between stones.
The accuracy and reliability of stone particle size detection are achieved, the detection efficiency is improved, and the needs of modern engineering construction can be better met.
Smart Images

Figure CN222800563U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of rockfill dam construction, in particular to an automatic stone paving and an image acquisition platform thereof. Background Art
[0002] As one of the important dam types in water conservancy projects, rockfill dams are widely used at home and abroad because of their advantages such as easy material acquisition, convenient construction, and strong adaptability. However, since the dam body is mainly constructed with rockfill materials, its stability and safety will depend on the quality and particle size distribution of the stone. Therefore, the particle size detection of stone is particularly important for the overall construction of rockfill dams and is a key link in ensuring the quality of rockfill dam construction.
[0003] The traditional method of stone particle size detection is mainly through manual sampling and screening, but the operation process is cumbersome and labor-intensive, and the test results are affected by human factors, which leads to doubts about the accuracy and stability of the test results. Secondly, the traditional method cannot achieve rapid detection of a large number of stones, and it is difficult to meet the high efficiency requirements of modern engineering construction.
[0004] With the continuous development of science and technology, automation and intelligent technology are gradually applied to the field of stone particle size detection. For example, image recognition technology, laser scanning technology, computer vision technology, etc. have provided new means for stone particle size detection. Image recognition technology can obtain the image of the stone to be detected by shooting and transmitting it to the computer. Then the computer identifies and processes the edge of the stone particle size in the image, calculates the particle size of the stone and draws the particle size distribution map of the photographed stone. This technology can greatly save labor costs and realize efficient and large-scale detection, effectively responding to the actual needs of the rockfill dam construction site. However, since this technology relies on image recognition, it has certain requirements for the image quality of the detection target. It is not difficult to find through actual observation that in the process of shooting stone images, there is a problem of mutual occlusion between different stones of multiple scales, which makes the captured images unable to be directly used for image detection, and it is difficult to obtain the true particle size of the stone. Therefore, in the stone particle size detection based on image recognition technology, a series of interference sight problems that are not conducive to image acquisition, such as mutual occlusion between stones and a large amount of dust generated by unloading, need to be solved urgently. Summary of the invention
[0005] Based on the above problems, the utility model provides an automatic stone paving and image acquisition platform, which automatically spreads the stones to be detected and collects images, which effectively solves the problem of mutual obstruction between stones of different sizes that is not conducive to image detection. Its technical solution is: it includes a vibrating screen, the vibrating screen is divided into a three-layer structure, the first layer is separated by a first screen, the second layer is separated by a second screen, and the third layer is a stone collection box. The vibrating screen is provided with an opening on one side of the second screen, and the opening is overlapped with the conveyor belt, and the conveyor belt is overlapped with the chute. An image acquisition device is provided in front of the chute, and the viewing angle of the image acquisition device is facing the inside of the chute.
[0006] As a preferred solution, a bottom support is provided at the bottom of the vibrating screen.
[0007] As a preferred solution, the second screen is hinged to the top of one end of the stone collecting box through a rotating shaft.
[0008] As a preferred solution, a telescopic bracket is provided below the overlapping end of the chute and the conveyor belt, and the other end is hinged to the rotating bracket below.
[0009] As a preferred solution, the aperture of the first sieve is 100 mm, and the aperture of the second sieve is 5 mm.
[0010] Beneficial effects of the utility model: The automatic stone paving and image acquisition platform provided by the utility model can effectively solve the problem that the real particle size distribution cannot be obtained due to mutual occlusion between stones of different scales, so that images with good discreteness can be collected through the platform to ensure the accuracy and reliability of particle size detection. And it makes the work of detecting stone particle size based on image recognition technology more reliable, convenient and efficient. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] Figure 1 It is a schematic diagram of the overall structure of the utility model.
[0012] In the figure: 1. vibrating screen; 2. first screen; 3. second screen; 4. rotating shaft; 5. bottom support; 6. stone collecting box; 7. conveyor belt; 8. chute; 9. telescopic bracket; 10. image acquisition device; 11. rotating bracket. DETAILED DESCRIPTION
[0013] The utility model is further described in detail below based on the accompanying drawings and specific embodiments.
[0014] Example 1
[0015] like Figure 1As shown, the automatic stone paving and image acquisition platform thereof include a vibrating screen 1. The vibrating screen 1 is divided into a three-layer structure, each layer can be disassembled, the first layer is separated by a first screen 2, the second layer is separated by a second screen 3, and the third layer is a stone collecting box 6. The vibrating screen 1 is provided with an opening on one side of the second screen 3, the opening is overlapped with a conveyor belt 7, the conveyor belt 7 is overlapped with a chute 8, and an image acquisition device 10 is arranged in front of the chute 8, and the viewing angle of the image acquisition device 10 is facing the inside of the chute 8.
[0016] A bottom support 5 is provided at the bottom of the vibrating screen 1 , and the bottom support 5 increases the height of the vibrating screen 1 and the gravitational potential energy of the stone in the vibrating screen 1 , so that the stone can enter the conveyor belt 7 better.
[0017] The second screen 3 is hinged to the top of one end of the stone collecting box 6 through the rotating shaft 4, and the screened stones are automatically slid into the conveyor belt 7 by lifting the other end of the second screen 3.
[0018] A telescopic bracket 9 is arranged below the overlapping end of the chute 8 and the conveyor belt 7, and the other end is hinged to the rotating bracket 11 below. The telescopic bracket 9 can be extended and retracted up and down, and the chute 8 is rotated by the rotating bracket. The cooperation of the telescopic bracket 9 and the rotating bracket 11 is used to change the inclination angle of the chute 8.
[0019] The aperture of the first screen 2 is 100 mm, the aperture of the second screen 3 is 5 mm, the first layer of the vibrating screen 1 screens stones larger than 100 mm, and the second layer screens stones of 5-100 mm.
[0020] Using the above platform, the working steps are as follows:
[0021] The working steps of this example are as follows:
[0022] S1, place the stone to be tested on the first screen 2, adjust the telescopic bracket 9 and the rotating bracket 11 to adjust the chute 8 to a proper angle.
[0023] S2, open the vibrating screen 1, and screen the stones below 100 mm into the second screen 3. At the same time, the second screen 3 is also screening the stones below 5 mm. The first layer is mostly large particles with heavy weight. In order to reduce the load of the vibrating screen, after the first layer is fully screened, the first layer of the vibrating screen 1 is separated, and the large particles are separated from the screen to the ground.
[0024] S3, use the second sieve 4 to fully screen the fine particles below 5 mm. After screening, lift one end of the second sieve 3 to transport the stones of 5-100 mm to the conveyor belt 7.
[0025] S4, use the conveyor belt 7 to transport the stone into the chute 8, so that the stone rolls down the chute 8, and the image acquisition device 10 faces the inclined surface of the chute to acquire the image of the falling stone.
[0026] S5, stones below 5mm are measured by weighing, and stones larger than 100mm can be spread together and collected uniformly using large-scale shooting tools such as drones (a ruler needs to be added to the collected photos), and image recognition is performed to obtain grading information at one time.
[0027] S6, integrates the grading information of coarse aggregate, fine aggregate and 5-100 mm material to generate the full grading curve of rockfill dam materials.
Claims
1. Automatic stone paving and image acquisition platform, characterized in that: The vibrating screen (1) comprises a three-layer structure, wherein the first layer is separated by a first screen (2), the second layer is separated by a second screen (3), and the third layer is a stone collecting box (6). The vibrating screen (1) is provided with an opening on one side of the second screen (3), the opening is overlapped with a conveyor belt (7), the conveyor belt (7) is overlapped with a chute (8), and an image acquisition device (10) is provided in front of the chute (8), and the viewing angle of the image acquisition device (10) faces the inside of the chute (8).
2. The automatic stone paving and image acquisition platform according to claim 1 is characterized in that: A bottom support (5) is provided at the bottom of the vibrating screen (1).
3. The automatic stone paving and image acquisition platform according to claim 1 is characterized in that: The second screen (3) is hingedly connected to the top of one end of the stone collecting box (6) via a rotating shaft (4).
4. The automatic stone paving and image acquisition platform according to claim 1 is characterized in that: A telescopic bracket (9) is arranged below the overlapping end of the chute (8) and the conveyor belt (7), and the other end is hinged to a rotating bracket (11) below.
5. The automatic stone paving and image acquisition platform according to claim 1 is characterized in that: The aperture of the first sieve (2) is 100 mm, and the aperture of the second sieve (3) is 5 mm.