PETRO 100AI Intelligent Coal Rock TestingSystem
(Manual Image Retouching Level)
1. Product Introduction
The PETRO 100AI Intelligent Coal Rock Testing System (Manual Image Retouching Level) is a new type of coal rock automatic testing system based on image analysis developed by our company. The system mainly consists of a reflected light microscope, microscope camera, automatic stage, image acquisition control system, and coal rock automatic testing system.
2. System Functions
This coal rock automatic testing system has 8 core functional modules. Detailed introduction as follows:
1) Image Acquisition: Using the image acquisition control system to control the automatic stage, automatic focusing device, and microscope camera, realize automatic scanning and acquisition of images.
2) Fully Automatic Reflectance Testing: Based on image analysis, automatically identify vitrinite and test its reflectance, with manual intervention, automatically generate reflectance test report, and the process is traceable and auditable. The vitrinite identification results and reflectance measurement values are marked on the image, making it convenient for auditors to review the test process and results during and after the event, and also convenient for quality management personnel to analyze and judge the composition and properties of coal.
3) Reflectance Test Result Review: It can conduct a separate review specifically for whether a particular coal type is mixed in, improving review efficiency and resolving coal type disputes; for unconventional coking coals that are mixed in, such as lignite, long-flame coal, anthracite, etc., it can accurately and quickly review and confirm.
4) Traditional Reflectance Testing: Referring to GB/T 6948, based on image analysis, perform vitrinite reflectance testing in the center of each field of view. The vitrinite reflectance test results and coal type identification results for each image can be marked on the image, ensuring the test process is traceable and auditable, facilitating communication, and intuitively resolving coal type disputes.
5) Mixed Coal Separation and Coal Type Identification: Perform separation of mixed coal reflectance distribution diagram based on the characteristics of the reflectance distribution diagram. Provide three coal type identification modes: simple discrimination method, interactive discrimination method, and origin discrimination method.
6) Coal Blending Fitting: Use the reflectance test results of individual coal types and the preset blending ratio to fit the reflectance histogram and average value of the blended coal, guiding coking coal blending. This module also includes the calculation of composition balance constant CBI and strength index SI, which can be used for specified coke quality prediction models.
7) Component Quantitative Statistics: Based on image analysis, perform quantitative determination of components (maceral content, microlithotype), activity-inert ratio, and the process is traceable and auditable. Maceral quantification provides two methods: "online" testing and "offline" testing.
8) Multiple levels of image processing programs can be authorized for testing operators, auditors, coal quality management personnel, and marketing personnel to perform testing, auditing, evaluating coal quality, communicating with users, etc. Each level can retrieve test results and corresponding images for application and communication.
3. System Technical Parameters
(I) Main Functions and Technical Parameters of Image Acquisition System
1) Image acquisition speed and quality: Executecoal rock analysiswith reasonable sample movement speed and necessary dwell time. On this basis, the time to collect about 900 images is controlled within 23 minutes, and the image acquisition clarity reaches above 95%.
2) The automatic acquisition process adopts automatic focusing based on image sharpness, without requiring manual auxiliary focusing methods.
3) The image sensor of the camera is a charge-coupled array detector (CCD), with bit depth of 16 bits, chip size of 2/3 inch.
4) Automatic stage dimensions W310*D215*H63 (mm). X, Y travel range is 50mm, X, Y minimum step accuracy is 0.05μm, repeated positioning accuracy less than 1μm.
5) Z-axis electric focusing, accuracy 0.02μm (related to the design parameters of the microscope focusing mechanism), stepper motor step angle 1.8°.
6) The automatic stage can be controlled either through software or manually.
(II) Image Analysis and Testing Technical Parameters
1) The vitrinite reflectance working curve establishment method is real-time working curve establishment, not only using a fixed working curve to calibrate instrument parameters.
2) Image processing speed: Automatic identification of vitrinite group and automatic reflectance measurement of 900 images completed within 5 minutes.
3) Component content testing: Determine maceral content and activity-inert ratio based on maceral images.
4) Test process and test result data are automatically saved. The detection data and detection process must be traceable. The vitrinite reflectance test results and coal type identification results for each field-of-view center image can be marked on the image.
4. System Full Traceability and Manual Image Retouching Interface
The software can realize two functions: current experiment traceability and historical experiment traceability:
Among them:
Current experiment mode: can control the electric moving stage to move the sample back to any position for resampling and testing.
Historical experiment mode: to retrieve previously performed experiments, view the entire process, and correct identification errors before re-issuing a correct version of the report.
The general process is as follows:
This is the package of all images retained during the overall automatic scanning process and the original 16-bit high-precision reflectance value data file for each coordinate point in each image (folders 0 and 1)
Interface after opening one experiment result:
Select any image to be corrected
If there is an error, click "Clear" first, then re-select the correct result.
After all corrections are completed, click "Reflectance Report" or "Coal Rock Component Report", and the software will automatically regenerate the corrected correct report based on the corrected results.
