Hole slag rock quality control device and method for sandstone processing system
By introducing rock cleaning devices, lithologic image discriminator and fast rebound instrument into the tunnel slag processing system, combined with control terminals and robots, the problem of lag in the strength detection of cave slag rocks is solved, online quality control is achieved, and the detection efficiency and accuracy of cave slag rocks are improved.
Patent Information
- Application Number
- CN202510640905.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-19
- Publication Date
- 2025-08-22
AI Technical Summary
In the prior art, the strength detection of tunnel cave slag rocks has a lag, and online detection and timely removal of unqualified strength cave slag rocks, resulting in lag quality control of cave slag rocks.
The rock cleaning device, rock lithology image discriminator and fast rebound instrument are used to combine the control terminal to realize the online lithology identification and strength detection of cave slag rocks. Unqualified rocks are eliminated through robots, and further processing is carried out in combination with rod screens and jaw crushers.
The online lithologic discrimination and strength detection of cave slag rocks is realized, and the unqualified rocks can be eliminated in a timely manner, improving the quality control efficiency and accuracy of tunnel slag processing.
Smart Images

Figure CN120522014A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of sand and gravel processing, and in particular to a device and method for controlling the quality of slag rocks used in a sand and gravel processing system. Background Art
[0002] Tunnel slag refers to the waste rock excavated during tunnel excavation. Tunnel slag rock processing and utilization has been implemented in multiple projects. The equipment used is a tunnel slag processing line, a type of sand and gravel processing system. A sand and gravel processing system is a crushing and screening set used to produce aggregate (sand and graded gravel). This aggregate is ultimately mixed with cement, water, and other ingredients in a specific mix ratio in a mixing station to create concrete. When using a sand and gravel processing system to process tunnel slag, it is essential to test the strength of the slag rock.
[0003] Currently, the strength of tunnel slag rock is primarily predicted at the drill-and-blast face or TBM cutterhead face using excavation or drilling parameters and advanced geological prediction systems. In existing engineering technologies, after the slag rock undergoes the slag removal process, real-time testing of the slag rock is delayed, and strength testing of the slag rock relies on pressure testing in on-site laboratories. Existing technologies do not provide sand and gravel processing systems with the functionality to online detect, identify, and promptly remove substandard strength slag rock. Instead, rock strength testing is often performed by sampling large-grained raw rock from the tunnel slag to produce test blocks, and by sampling the finished graded crushed stone aggregate to measure the crushing value. By this time, the tunnel slag processing process has already been underway for some time. Therefore, if online detection, identification, and timely removal of substandard strength slag rock are not possible, slag rock quality control will be subject to significant lag.
[0004] In summary, there is an urgent need for a device and method for controlling the quality of slag rocks in a sand and gravel processing system to solve the problems in the prior art. Summary of the Invention
[0005] The present invention aims to provide a device and method for controlling the quality of slag rock in a sand and gravel processing system. The specific technical solution is as follows:
[0006] A device for controlling the quality of slag rocks in a sand and gravel processing system comprises a first conveyor, a rock cleaning device, a rock lithology image discriminator, a rapid rebound test hammer, and a control terminal. The rock cleaning device, rock lithology image discriminator, and rapid rebound test hammer are sequentially arranged on the first conveyor along the transport direction of the first conveyor.
[0007] The first conveyor is used to transport the slag rock and level the slag rock;
[0008] The rock cleaning device is used for online preliminary cleaning of the slag rock;
[0009] The rock lithology image discriminator is used to scan and identify the cave slag rock image and determine the rock lithology of the cave slag rock;
[0010] The rapid rebound test hammer is used to detect the rebound strength of the cave slag rock, and the rebound strength is used to determine the wet saturation strength of the cave slag rock;
[0011] The control terminal is used to control the rock lithology image discriminator, the rapid rebound test hammer and the manipulator, and receive and analyze the detection results of the rock lithology image discriminator and the rapid rebound test hammer.
[0012] Optionally, the slag rock quality control device further includes a manipulator provided on the first conveyor, and the manipulator is used to move the slag rock or remove unqualified slag rock.
[0013] Optionally, the device for controlling the quality of the slag rock further comprises a bar screen arranged at the end of the first conveyor, and the bar screen is used for screening the slag rock.
[0014] Optionally, the slag rock quality control device further includes a jaw crusher arranged behind the bar screen, and the jaw crusher is used to crush the slag rock.
[0015] Optionally, the slag rock quality control device further includes a second conveyor arranged on the side of the first conveyor, the starting end of the second conveyor is arranged in front of the rod screen, and the end of the second conveyor is connected to the waste bin.
[0016] Optionally, the rock lithology image discriminator includes an industrial camera, an industrial lens, a light source and an image processing unit, and the industrial camera, industrial lens and light source cooperate to realize image scanning and identification of cave slag rock; the image processing unit includes a deep learning model composed of a convolutional neural network, which is used to determine the rock lithology of the cave slag rock.
[0017] In addition, the present invention also discloses a method for controlling the quality of slag rock in a sand and gravel processing system. The method uses the above-mentioned slag rock quality control device, and the steps of the method are as follows:
[0018] The control terminal controls the rock lithology image discriminator and the fast rebound test hammer to detect the cave slag rock and obtain the rock lithology and strength prediction results of the cave slag rock;
[0019] After receiving the rock properties and strength prediction results of the slag rock, the control terminal determines whether the slag rock is qualified;
[0020] The unqualified lithic rocks are removed and sent to the waste bin.
[0021] Optionally, the rock lithology includes igneous rock, metamorphic rock and sedimentary rock, and the unqualified criteria for slag rock include any one of the following:
[0022] The cave slag rock is sedimentary rock, and the strength of the cave slag rock is less than 45 MPa;
[0023] The cave slag rock is metamorphic rock, and the strength of the cave slag rock is less than 60 MPa;
[0024] The cave slag rock is igneous rock, and the strength of the cave slag rock is less than 80 MPa;
[0025] The strength of slag rock is 1.5-2 times lower than that of concrete.
[0026] The application of the technical solution of the present invention has the following beneficial effects:
[0027] The present invention discloses a device and method for controlling the quality of slag rock in a sand and gravel processing system, capable of online identification of the lithology of slag rock. The device detects the lithology of slag rock with a single particle size greater than 100 mm and determines whether it is igneous rock, metamorphic rock, sedimentary rock, or soil block, facilitating the lithology classification of slag rock with larger particle sizes. The present invention uses a rapid rebound hammer to predict the strength of slag rock online. For igneous rock, metamorphic rock, and sedimentary rock, the device can use a rapid rebound hammer to test the strength and quickly identify unqualified slag rock.
[0028] In addition to the above-described objects, features and advantages, the present invention has other objects, features and advantages. The present invention will be further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0030] Figure 1 2. It is a structural diagram of a device for controlling the quality of slag and rock in a preferred embodiment of the present invention;
[0031] Figure 2 It is a flow chart of the method for controlling the quality of slag rock in a preferred embodiment of the present invention.
[0032] Among them, 100-first conveyor, 200-rock cleaning device, 300-rock lithology image discriminator, 400-rapid rebound test hammer, 500-manipulator, 600-rod screen, 700-jaw crusher, 800-second conveyor, 900-control terminal. DETAILED DESCRIPTION
[0033] In order to enable those skilled in the art to better understand the present invention, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0034] like Figure 1 As shown, this embodiment discloses a device for controlling the quality of slag rocks in a sand and gravel processing system, comprising a first conveyor 100, a rock cleaning device 200, a rock lithology image discriminator 300, a rapid rebound test hammer 400, and a control terminal 900. The rock cleaning device 200, the rock lithology image discriminator 300, and the rapid rebound test hammer 400 are sequentially arranged on the first conveyor 100 along the transport direction of the first conveyor 100.
[0035] The first conveyor 100 is used to convey the slag rock and level the slag rock;
[0036] The rock cleaning device 200 is used to perform preliminary online cleaning of the slag rock;
[0037] The rock lithology image discriminator 300 is used to scan and identify the cave slag rock image and determine the rock lithology of the cave slag rock;
[0038] The rapid rebound tester 400 is used to detect the rebound strength of the cave slag rock, and the rebound strength is used to determine the wet saturation strength of the cave slag rock;
[0039] The control terminal 900 is used to control the rock lithology image discriminator 300 , the rapid rebound test hammer 400 and the manipulator 500 , and receive and analyze the detection results of the rock lithology image discriminator 300 and the rapid rebound test hammer 400 .
[0040] It should be noted that the first conveyor 100 in this embodiment adopts a plate feeder.
[0041] In a specific implementation case, the cave slag rock quality control device in this embodiment also includes a manipulator 500 arranged on the first conveyor 100, and the manipulator 500 is used to move the cave slag rock to facilitate the rapid rebound tester 400 to detect the strength of the cave slag rock. It should be noted that the angle between the rapid rebound tester 400 and the rock surface of the cave slag rock is an important parameter, which is generally divided into an oblique angle or a perpendicular angle. When working at an oblique angle, after the rapid rebound tester 400 is placed on the surface of the material to be tested, the rapid rebound tester 400 is made to form a specific angle with the material surface for rebound testing. The commonly used angle is generally 30 degrees or 45 degrees, which is suitable for testing harder materials. When working at a perpendicular angle, the rapid rebound tester 400 is perpendicular to the surface of the material to be tested for rebound testing. It is suitable for testing softer materials, and the test results are more accurate. In this embodiment, the manipulator 500 is combined with the rapid rebound tester 400 to achieve online strength testing of cave slag rock.
[0042] In a more specific implementation case, the manipulator 500 is connected to the control terminal 900 , and the control terminal 900 marks unqualified slag rocks and issues instructions to the manipulator 500 , so that the manipulator removes the unqualified slag rocks.
[0043] In a specific implementation case, the slag rock quality control device in this embodiment also includes a rod screen 600 arranged at the end of the first conveyor 100. The rod screen 600 is used to screen the slag rock and can remove mud-containing debris. The mud-containing debris is debris with a large mud content.
[0044] In a more specific implementation case, the slag rock quality control device further includes a jaw crusher 700 disposed behind the bar screen 600, and the jaw crusher 700 is used to crush the slag rock.
[0045] In a specific implementation, the slag rock quality control device in this embodiment further includes a second conveyor 800 disposed lateral to the first conveyor 100. The starting end of the second conveyor 800 is located in front of the bar screen 600, and the end of the second conveyor 800 is connected to the waste bin. The second conveyor 800 is used to transport unqualified slag rock. It should be noted that the second conveyor 800 in this embodiment also uses an apron feeder.
[0046] In another specific implementation case, in this embodiment, a waste bin or a waste hopper can be used to replace the second conveyor 800.
[0047] In one specific implementation, the rock lithology image discriminator 300 includes an industrial camera, an industrial lens, a light source, and an image processing unit. These work together to scan and identify cave slag rock images. The image processing unit includes a deep learning model comprised of a convolutional neural network, which is used to determine the lithology of the cave slag rock. The deep learning model in this embodiment is trained using a training dataset consisting of at least one million rock images. After model training, the deep learning model achieves an accuracy rate of over 95% for rock image recognition.
[0048] In addition, if Figure 2 As shown, this embodiment also discloses a method for controlling the quality of slag rock in a sand and gravel processing system. The method uses the above-mentioned slag rock quality control device. The steps of the method are as follows:
[0049] The first conveyor 100 transports the slag rocks to the location of the rock cleaning device 200, which performs preliminary online cleaning on the slag rocks;
[0050] The control terminal 900 controls the rock lithology image discriminator 300 and the fast rebound test hammer 400 to detect the cave slag rock in sequence, and obtains the rock lithology and strength prediction results of the cave slag rock;
[0051] After receiving the rock lithology and strength prediction results of the cave slag rock, the control terminal 900 determines whether the cave slag rock is qualified;
[0052] The unqualified slag rocks are removed and sent to the waste bin.
[0053] It should be noted that the qualified slag rock will be transported to the sand and gravel processing system, and the sand and gravel processing system will process the qualified slag rock into sand and gravel aggregate.
[0054] In a specific implementation case, the rock lithology includes igneous rock, metamorphic rock and sedimentary rock, and the unqualified criteria for the cave slag rock include any one of the following:
[0055] The cave slag rock is sedimentary rock, and the strength of the cave slag rock is less than 45 MPa;
[0056] The cave slag rock is metamorphic rock, and the strength of the cave slag rock is less than 60 MPa;
[0057] The cave slag rock is igneous rock, and the strength of the cave slag rock is less than 80 MPa;
[0058] The strength of slag rock is 1.5-2 times lower than that of concrete.
[0059] It should be noted that the standard for unqualified slag rock in this embodiment is implemented with reference to the existing concrete standard. For those skilled in the art, the standard for unqualified rock can be adjusted according to actual needs.
[0060] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.
Claims
1. A device for controlling the quality of slag rocks in a sand and gravel processing system, characterized in that: The invention comprises a first conveyor (100), a rock cleaning device (200), a rock lithology image discriminator (300), a fast rebound test hammer (400) and a control terminal (900), wherein the rock cleaning device (200), the rock lithology image discriminator (300) and the fast rebound test hammer (400) are sequentially arranged on the first conveyor (100) along the transport direction of the first conveyor (100); The first conveyor (100) is used to convey the slag rock and level the slag rock; The rock cleaning device (200) is used for performing preliminary online cleaning of the cave slag rock; The rock lithology image discriminator (300) is used to scan and identify the cave slag rock image and determine the rock lithology of the cave slag rock; The rapid rebound tester (400) is used to detect the rebound strength of the cave slag rock, and the rebound strength is used to determine the wet saturation strength of the cave slag rock; The control terminal (900) is used to control the rock lithology image discriminator (300), the rapid rebound test hammer (400) and the manipulator (500), and receive and analyze the detection results of the rock lithology image discriminator (300) and the rapid rebound test hammer (400).
2. The device for controlling the quality of slag rock according to claim 1, characterized in that: It also includes a robot (500) arranged on the first conveyor (100), and the robot (500) is used to move the slag rocks or remove unqualified slag rocks.
3. The device for controlling the quality of slag rock according to claim 1, characterized in that: It also includes a bar screen (600) arranged at the end of the first conveyor (100), and the bar screen (600) is used for screening the slag rock.
4. The device for controlling the quality of slag rock according to claim 3, characterized in that: The invention also includes a jaw crusher (700) arranged behind the bar screen (600), wherein the jaw crusher (700) is used for crushing the slag rock.
5. The device for controlling the quality of slag rock according to claim 3, characterized in that: The invention also includes a second conveyor (800) arranged on the side of the first conveyor (100), the starting end of the second conveyor (800) is arranged in front of the bar screen (600), the end of the second conveyor (800) is connected to the waste bin, and the second conveyor (800) is used to transport unqualified cave slag rocks.
6. The device for controlling the quality of slag rock according to claim 1, characterized in that: The rock lithology image discriminator (300) comprises an industrial camera, an industrial lens, a light source and an image processing unit, wherein the industrial camera, the industrial lens and the light source cooperate to realize image scanning and recognition of cave slag rock; the image processing unit comprises a deep learning model composed of a convolutional neural network, and is used to determine the rock lithology of the cave slag rock.
7. A method for controlling the quality of slag rock in a sand and gravel processing system, characterized in that: Using the device for controlling the quality of slag rock according to any one of claims 1 to 6, the method comprises the following steps: The control terminal (900) controls the rock lithology image discriminator (300) and the fast rebound tester (400) to detect the cave slag rock, and obtains the rock lithology and strength prediction results of the cave slag rock; After receiving the rock lithology and strength prediction results of the cave slag rock, the control terminal (900) determines whether the cave slag rock is qualified; The unqualified lithic rocks are removed and sent to the waste bin.
8. The method for controlling the quality of slag rock according to claim 7, characterized in that: Rock lithology includes igneous rock, metamorphic rock and sedimentary rock. The unqualified criteria for cave slag rock include any of the following: The cave slag rock is sedimentary rock, and the strength of the cave slag rock is less than 45 MPa; The cave slag rock is metamorphic rock, and the strength of the cave slag rock is less than 60 MPa; The cave slag rock is igneous rock, and the strength of the cave slag rock is less than 80 MPa; The strength of slag rock is 1.5-2 times lower than that of concrete.
Citation Information
Patent Citations
Specific composite altered rock or belt comprehensive compressive strength index obtaining method
CN105784494A
Real-time measurement system and method for rock slag mechanical parameters in tunneling process
CN111879610A
Gravel online scanning and lumpiness automatic analysis system and method
CN116281006A
Hole slag recycling, sorting and processing method
CN118142888A
Cited By
Cave slag lithology intelligent identification method based on multivariate data fusion and machine learning
CN121482551A