A handheld aggregate steel slag distribution rapid detection device

Abstract

This invention provides a handheld rapid detection device for aggregate and steel slag distribution, comprising an infrared ranging device, an image acquisition device, and a light source device surrounding the image acquisition device, all mounted on the lower part of the detection box; a display screen and a level are mounted on the upper part of the detection box, with the level, infrared ranging device, and image acquisition device all connected to the display screen; an image processor and an image storage device are provided on the detection box, with the image processor connected to the image acquisition device and the image storage device connected to both. The detection device provided by this invention weighs no more than 1.8 kg, has a compact, enclosed detection box size, and is easy to carry and operate. The top of the detection box has an ergonomic grip covered with a non-slip silicone layer, providing a comfortable grip and preventing slippage. It is suitable for flexible use in various locations such as construction sites, without requiring complex installation and debugging processes.

Description

Technical Field

[0001] This utility model belongs to the field of steel slag detection technology, and in particular relates to a handheld rapid detection device for aggregate steel slag distribution. Background Technology

[0002] In the field of building materials testing, especially in the quality testing of concrete aggregates, the detection of steel slag particles has always been a crucial step. Components in steel slag, such as free calcium oxide (f-CaO) and free magnesium oxide (f-MgO), undergo hydration reactions upon contact with water, resulting in volume expansion. This can lead to serious engineering quality problems in concrete structures, such as bursting points, surface spalling, and cracking.

[0003] However, due to the high iron content in steel slag, its particles are mostly dark in color (such as dark gray or blackish brown), while conventional aggregates (such as river sand, mountain sand, and manufactured sand) have lower iron content and are usually lighter in color (such as light gray or beige). In addition, steel slag macroscopically exhibits a rough and uneven particle surface, while conventional aggregates such as river sand have smooth and dense particle surfaces due to long-term water erosion.

[0004] Therefore, with the depletion of natural sand and gravel resources and the increasing diversification of aggregate types, the color and morphological characteristics of aggregates have become extremely complex, making it extremely difficult and prone to error to detect steel slag with the naked eye. Detection using laboratory chemical analysis or specialized instruments requires complex sample pretreatment processes and has a long testing cycle, often taking several hours or even longer to obtain results. This clearly cannot meet the practical needs of rapid testing on construction sites. Furthermore, such equipment is usually bulky, complex to operate, requires professional personnel, and is difficult to carry to the site for immediate testing. Utility Model Content

[0005] To address the problems existing in the prior art, this utility model aims to propose a handheld rapid detection device for steel slag distribution in aggregates. This detection device solves the problems of low steel slag detection efficiency and inconvenience of carrying existing equipment, and proposes a detection device that can quickly, accurately and portablely detect the distribution of steel slag in aggregates.

[0006] To achieve the above objectives, the technical solution of this utility model is implemented as follows:

[0007] A handheld rapid detection device for aggregate and steel slag distribution includes a detection box. An infrared ranging device, an image acquisition device, and a light source device surrounding the image acquisition device are installed at the lower part of the detection box. The light source device is a ring-shaped multi-band LED array covering visible light and near-infrared light. A display screen and a level are installed at the upper part of the detection box. The level, infrared ranging device, and image acquisition device are all connected to the display screen.

[0008] The detection chamber is equipped with an image processor and an image storage device. The image processor is connected to the image acquisition device, and the image storage device is connected to both the image processor and the image acquisition device.

[0009] Furthermore, the display screen is equipped with a light source device switch, an infrared ranging device switch, an image acquisition device switch, an image processor switch, and a main device switch, all mounted on the detection housing. The light source device switch, infrared ranging device switch, image acquisition device switch, and image processor switch are respectively connected to the light source device, infrared ranging device, image acquisition device, and image processor.

[0010] Furthermore, the detection box is a closed box with a grip on the top, and the surface of the grip is covered with an anti-slip silicone layer.

[0011] Furthermore, the detection chamber has a built-in lithium battery.

[0012] Furthermore, the infrared ranging device is model KEYENCE IL-030, with a measuring distance of 10-50cm and an accuracy of ±1mm.

[0013] Furthermore, the image acquisition device includes a sensor and a macro lens. The sensor is a Sony IMX586, and the macro lens has an aperture of F2.8.

[0014] Furthermore, the ring-shaped multi-band LED array of the light source device is divided into inner and outer rings. The inner ring is for white light illumination, and the outer ring alternates between near-infrared light and white light.

[0015] Furthermore, the inner ring includes 36 white LEDs with a color temperature of 4000K to 6500K; the outer ring includes 24 near-infrared LEDs with a wavelength of 850±10nm.

[0016] Furthermore, the image storage device includes an SD card slot and / or a USB-C interface installed on the side of the detection housing, the SD card slot and / or USB-C interface being used to connect an external storage device.

[0017] Compared with existing technologies, the handheld aggregate and steel slag distribution rapid detection device of this utility model has the following advantages:

[0018] (1) The total weight of the detection device described in this utility model is no more than 1.8kg. The enclosed detection box is small in size, only 220mm×130mm×90mm, which is easy to carry and operate. The top of the detection box is equipped with an ergonomic grip part, and the surface is covered with a non-slip silicone layer, which is comfortable to hold and not easy to slip. It is suitable for flexible use in different places such as construction sites, without the need for complicated installation and debugging processes.

[0019] (2) The detection device described in this utility model can detect quickly, and the single detection time is short, not exceeding 5 seconds. Compared with traditional laboratory detection methods, the speed is increased by more than 90%, which greatly improves the detection efficiency and can quickly give the detection results. This helps to detect steel slag particles in a timely manner, avoid the use of unqualified aggregates in concrete production, and reduce concrete quality problems caused by the use of steel slag aggregates.

[0020] (3) The detection device described in this utility model uses the differences in color and surface roughness between steel slag particles and aggregates for feature identification. It adopts a cascade model to increase the recall rate of small particles (≤3mm) from 78% to 86%, and controls the false detection rate to within 3%, which effectively improves the identification accuracy of steel slag particles, reduces the situation of missed detection and false detection, and ensures the reliability of the detection results. Attached Figure Description

[0021] The accompanying drawings, which form part of this utility model, are used to provide a further understanding of the utility model. The illustrative embodiments of the utility model and their descriptions are used to explain the utility model and do not constitute an undue limitation of the utility model. In the drawings:

[0022] Figure 1 A top view of the overall structure provided for an embodiment of this utility model;

[0023] Figure 2 A bottom view of the overall structure provided for an embodiment of this utility model;

[0024] Figure 3 This is a schematic diagram of the workflow of the image acquisition device provided in an embodiment of the present utility model.

[0025] Explanation of reference numerals in the attached figures:

[0026] 1. Display screen; 2. Light source switch; 3. Infrared ranging device switch; 4. Image acquisition device switch; 5. Image processor switch; 6. Level; 7. Main switch; 8. USB-C interface; 9. SD card slot; 10. Image acquisition device; 11. Light source device; 12. Infrared ranging device; 13. Detection box. Detailed Implementation

[0027] It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0028] In the description of this utility model, it should be understood that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the accompanying drawings and are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this utility model. Furthermore, the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this utility model, unless otherwise stated, "a plurality of" means two or more.

[0029] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model based on the specific circumstances.

[0030] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0031] like Figures 1 to 3 As shown, a handheld rapid detection device for aggregate and steel slag distribution includes a detection box 13. An infrared ranging device 12, an image acquisition device 10, and a light source device 11 surrounding the image acquisition device 10 are installed at the lower part of the detection box 13. The light source device 11 is a ring-shaped multi-band LED array covering visible and near-infrared light. A display screen 1 and a level 6 are installed at the upper part of the detection box 13. The level 6, the infrared ranging device 12, and the image acquisition device 10 are all connected to the display screen.

[0032] The detection box is equipped with an image processor and an image storage device. The image processor is connected to the image acquisition device 10, and the image storage device is connected to both the image processor and the image acquisition device 10.

[0033] The display screen 1 is equipped with a light source device switch 2, an infrared ranging device switch 3, an image acquisition device switch 4, an image processor switch 5, a level 6, and a main device switch 7, all mounted on the detection housing 13. The light source device switch 2, the infrared ranging device switch 3, the image acquisition device switch 4, and the image processor switch 5 are respectively connected to the light source device 11, the infrared ranging device 12, the image acquisition device 10, and the image processor.

[0034] The detection chamber 13 is a closed chamber, dustproof and waterproof, with an ergonomic grip on the top covered with a non-slip silicone layer. The detection chamber 13 measures 220mm × 130mm × 90mm, can accommodate a built-in lithium battery with a battery life of ≥6 hours (continuous acquisition mode), and the total weight of the detection device is ≤1.8kg.

[0035] The infrared ranging device 12 is used to provide real-time feedback of the distance data between the detection device and the sample and display it on the display screen 1. The infrared ranging device 12 is a KEYENCE IL-030 high-precision ranging sensor with a data output rate of 100Hz (transmitted via I²C interface), a measurement distance of 10-50cm, and an accuracy of ±1mm. An alarm is triggered when the distance exceeds the preset range (e.g., 15-30cm). The infrared ranging device 12 integrates a laser-assisted focusing function, which activates 650nm laser grid projection to assist in ranging in low-light environments.

[0036] The image acquisition device 10 is equipped with a Sony IMX586 sensor (20 megapixels) and a 6-lens macro lens (F2.8 aperture, minimum focusing distance 5cm); it supports simultaneous imaging in both visible light (RGB) and near-infrared (850nm) channels. The image acquisition device 10 acquires sample images and transmits them to the image processor, and the display screen 1 can display the sample images acquired by the image acquisition device 10 in real time.

[0037] A short press of the image acquisition device switch 4 starts a single shot, while a long press enters continuous acquisition mode.

[0038] The light source device 11 is a ring-shaped multi-band LED array, divided into inner and outer rings. The inner ring provides fixed white light illumination, while the outer ring alternates between near-infrared and white light. The outer ring LEDs are synchronized with the shutter of the image acquisition device 10, switching to near-infrared mode at the moment of exposure to capture multispectral data. The inner ring has 36 white LEDs (color temperature adjustable from 4000K to 6500K), and the outer ring has 24 near-infrared LEDs (850nm).

[0039] Light source device model 11: Philips LUXEON 5050 LED array

[0040] Light source device 11 parameters: white light color temperature 4000K~6500K (0.1K step adjustment), near-infrared band 850±10nm (pulse drive frequency 1kHz), illuminance range 500-1500lux (automatic / manual adjustable), ring diameter 45mm (adapted to the working distance of the macro lens of image acquisition device 10).

[0041] The display screen 1 is a 7-inch IPS touch LCD screen with a resolution of 1920×1080 and adaptive brightness adjustment (100-500 nits); it includes a real-time display module for displaying images, tilt data from the level 6 instrument, and infrared ranging values ​​(red / green indicators indicate the safety range).

[0042] The level 6 is used to detect the tilt angle of the detection device in real time and display it on the display screen 1. The level 6 is a TDK InvenSense ICM-20608 model, with a built-in three-axis tilt sensor, a tilt angle detection range of ±15° (dynamic accuracy ±0.3°), and a built-in temperature compensation algorithm (effective across the entire temperature range of -40℃ to 85℃). Specifically, when the tilt angle exceeds ±2°, the image acquisition function is automatically locked, and posture adjustment guidance is displayed on the display screen 1.

[0043] The image processor is integrated inside the detection box 13 and includes an image feature recognition module and a result output module. The image feature recognition module can identify steel slag by utilizing the differences in color, surface roughness, etc. between steel slag particles and fine aggregates. The image feature recognition module has a built-in dynamic calibration function that automatically adjusts the reference value according to the ambient light intensity.

[0044] The output module generates a heat map of steel slag location (highlighted in red, with transparency indicating confidence level) and a statistical report on the admixture content. The statistical report includes particle number, area percentage (accurate to 0.1%), and equivalent diameter distribution, with a statistical error of ≤1.5%.

[0045] The image feature recognition module includes an FPGA+ARM dual-core heterogeneous processor, model: Xilinx Zynq UltraScale+ZU3EG (embedded with 4 Cortex-A53 cores).

[0046] The output module's display driver is Novatek NT96752 (supports H.264 hardware encoding); the graphics rendering module is a Mali-G52 MP2 GPU (1080p@60fps).

[0047] In a preferred embodiment of the present invention, the detection device further includes an image storage device, which includes an SD card slot 9 and / or a USB-C interface 8 installed on the side of the detection housing 13. The SD card slot 9 and / or the USB-C interface 8 are used to connect an external storage device.

[0048] When SD card slot 9 is set, SD card slot 9 can install SD cards. The SD card model is Kioxia EXCERIA PRO SDXC UHS-II (V90 speed class). When USB-C interface 8 is set, USB-C interface 8 is USB 3.2 Gen 2 Type-C (theoretical speed 10Gbps). USB-C interface 8 is used for both charging and data export.

[0049] The image storage device is used to save sample images acquired by the image acquisition device and analysis data generated by the image processor. The storage formats of the image storage device include raw images (RAW), analysis result images (PNG / JPG), and test reports (CSV / PDF); the storage logic is to automatically name files according to timestamps and associate them with grayscale values, spectral data, and model confidence levels.

[0050] Example 1: Conventional working process of a handheld rapid detection device for aggregate and steel slag distribution:

[0051] S1: Device Startup and Initialization

[0052] Power-on: The equipment starts up, the display screen 1 shows the startup screen, the level 6 performs a self-test, and the three-axis tilt sensor detects the equipment attitude in real time.

[0053] Battery level indicator: If the built-in lithium battery level is below 20%, a red low battery icon will be displayed in the upper right corner of the display screen 1, accompanied by a vibration.

[0054] S2: Environmental Calibration

[0055] Horizontal Calibration: When the tilt angle detected exceeds ±2° (e.g., X-axis tilt angle +3.5° is detected), display screen 1 will display attitude guidance, prompting the user to adjust the device to a horizontal position. After adjustment, when the tilt angle is ≤0.5°, display screen 1 will display "Calibration Complete".

[0056] Light source adjustment: Press the light source device switch 2, and the light source device 11 will automatically adjust the illuminance according to the ambient light sensor data.

[0057] S3: Image Acquisition

[0058] Distance measurement and focusing: The image acquisition device 10 is aligned with the surface of the aggregate sample, and the infrared distance measuring device 12 provides real-time distance data. If the distance is 28cm (within the safe range of 15-30cm), the display screen 1 shows a green "Ready" indicator; if the distance is 12cm (exceeding the lower limit), a red "Distance Too Close" indicator is displayed.

[0059] Multispectral imaging: Press the image acquisition device switch 4 briefly, and the image acquisition device 10 will simultaneously capture visible light (RGB) and near-infrared (850nm) images.

[0060] S4: Analysis and Processing

[0061] Image feature recognition: The image processor uses the differences in color, surface roughness, etc. between steel slag particles and fine aggregates to identify steel slag.

[0062] Results generation: The results output module generates a heat map (with the steel slag area marked in red) and a statistical report.

[0063] S5: Data Storage and Export

[0064] Automatic naming and storage: The image storage device saves the original image in the format of "20231025_1430_9.8%.RAW". The associated data includes grayscale reduction (18.6%), 585nm spectral reflectance intensity (0.82), and model confidence (92.3%).

[0065] Export Report: Connect to a computer via USB-C interface 8 to export a PDF test report, which includes a particle distribution histogram and a detailed parameter table.

[0066] Example 2: Working process of a handheld rapid detection device for aggregate and steel slag distribution in low-light environments:

[0067] Application scenario: Nighttime construction site, where ambient light is below 50 lux.

[0068] Laser-assisted focusing: The infrared ranging device 12 activates a 650nm laser grid projection to form a 5×5 grid mark on the aggregate surface, which assists the image acquisition device 10 in precise focusing.

[0069] Light source switching: The outer ring LED of the light source device 11 switches to near-infrared mode (850nm) to avoid image noise caused by insufficient visible light, while the inner ring white light maintains a color temperature of 4000K to provide basic illumination.

[0070] Dynamic calibration: When the grayscale analysis module detects that the ambient light intensity is only 30 lux, it automatically lowers the reference Mode value from 140 to 133 to avoid misjudgment caused by overexposure.

[0071] Test results: The sample with a doping level of 5% was tested 10 times, with an average doping level error of ±1.1% and a recall rate of 83.6% for small particles (≤3mm).

[0072] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. A handheld rapid detection device for aggregate and steel slag distribution, characterized in that: The device includes a detection housing, with an infrared ranging device, an image acquisition device, and a light source device surrounding the image acquisition device installed at the bottom of the detection housing. The light source device is a ring-shaped multi-band LED array that covers visible light and near-infrared light. A display screen and a level are installed at the top of the detection housing, and the level, infrared ranging device, and image acquisition device are all connected to the display screen. The detection chamber is equipped with an image processor and an image storage device. The image processor is connected to the image acquisition device, and the image storage device is connected to both the image processor and the image acquisition device.

2. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The display screen is equipped with switches for a light source device, an infrared ranging device, an image acquisition device, an image processor, and a main switch, all mounted on the detection housing. The switches for the light source device, infrared ranging device, image acquisition device, and image processor are connected to the light source device, infrared ranging device, image acquisition device, and image processor, respectively.

3. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The testing chamber is a closed chamber with a grip on the top, and the surface of the grip is covered with an anti-slip silicone layer.

4. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The testing chamber has a built-in lithium battery.

5. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The infrared ranging device is model KEYENCE IL-030, and the measuring distance is 10-50cm.

6. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The image acquisition device includes a sensor and a macro lens. The sensor is a Sony IMX586, and the macro lens has an aperture of F2.

8.

7. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The ring-shaped multi-band LED array of the light source device is divided into inner and outer rings. The inner ring is white light illumination, and the outer ring alternates between near-infrared light and white light.

8. The handheld rapid detection device for aggregate and steel slag distribution according to claim 7, characterized in that: The inner ring includes 36 white LEDs with a color temperature of 4000K to 6500K; the outer ring includes 24 near-infrared LEDs with a wavelength of 850±10nm.

9. The handheld rapid detection device for aggregate and steel slag distribution according to claim 1, characterized in that: The image storage device includes an SD card slot and / or a USB-C interface installed on the side of the detection box. The SD card slot and / or USB-C interface are used to connect an external storage device.

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